The game you practiced isn't always the game you play
A Cash NLHE player who learned the game at 6-max, 100bb, no ante, 3% rake sits down at a 9-max table with a 2bb ante, deep stacks, a straddle, and 5% juice. Which adjustments are real — and which are noise? This book answers that question by sweeping five trained parameters against the Cash 1.1.0 baseline and measuring the behavioral deltas our solver actually produces.
The five parameters — ante, blind structure (2-blind vs 3-blind straddle), table size, stack depth, and rake — are all axes the model was trained to condition on. Every delta comes from querying the same converged Cash model at different parameter settings, not from interpolation or theory alone. Thirty-six query batches, nine named mechanisms, and five cross-axis compound tests reveal which parameters amplify each other and which operate independently.
The synthesis chapter covers all five interactions directly. Most striking — ante and table size amplify each other rather than adding linearly. At 9-max with a 2bb ante, BTN raise size jumps to 60bb average versus 17.4bb at 6-max. At the end, per-chapter rules of thumb distill the findings into practical adjustments.
Every finding was produced by querying the same converged Cash model (universal-dense-v4 family) at different trained parameter settings — not a different model per format. The model conditions on ante, blind count, table size, stack depth, and rake as continuous or categorical inputs. All five axes are within the training range and were confirmed to produce detectable, monotonic strategy responses via a pre-campaign signal-probe sweep.
When a sentence explains why a pattern exists — appealing to concepts like dead-money pull, MDF compression, SPR dynamics, or call-suppression polarization — it is prefixed with "Based on general poker theory". This tells you the reasoning is grounded in widely accepted poker concepts, not a direct solver measurement. Every unmarked sentence is a direct data observation.
Two known anomalies are documented and excluded from theory claims. The 2%/2cap rake configuration produces anomalous widening inconsistent with surrounding configs — this row is excluded and all rake conclusions use 0%/3%/5% only. The river-bet direction reversal at 5% rake contradicts the predicted direction; the mechanism hypothesis is documented but not labeled confirmed. Deep-stack findings (600bb) carry lower confidence pending source-level confirmation of the training distribution shape.
How each parameter cascades into strategy
Dead-money pull
Antes create forced dead money that all positions compete for. VPIP rises at every position — UTG 17% → 57%, BTN 43% → 97% across the 0→2.5bb sweep. Limping emerges above 0.5bb ante and dominates above 2bb, when entering for 1bb to compete for a large pre-action pot becomes the primary entry vehicle.
Positional dead-money dilution
The ante-widening effect is strongest at BTN, weakest at UTG. BTN gains +54pp across the full ante sweep; UTG gains only +40pp. BTN must survive just the two blinds to capture the ante pool; UTG must survive five players behind it.
Straddle squeeze suppression
In 3-blind games, BTN drops −14.4pp VPIP at 0bb ante (43.3% → 28.9%). The straddle posts 2bb and acts last preflop, creating a squeeze threat on every BTN open. To open profitably BTN must size to 14.5bb avg — three times the 2-blind standard. UTG/MP/CO widen slightly: the straddle adds dead money relative to their open cost.
MDF compression
UTG VPIP contracts monotonically with table size from 28.4% (4-max) to 11.0% (9-max). Each additional opponent behind UTG raises the probability that at least one holds a dominating hand. BTN is range-bound 43–50% across all table sizes ≥4-max, because it always faces only the two blinds regardless of table size.
Open-sizing convention collapse
At 9-max the standard open is a min-raise (2.2bb avg at BTN) versus 4.8bb at 6-max. Prior folds reveal weaker remaining ranges, so a smaller size achieves the same fold equity. The 3-max BTN anomaly — 43.6%, tighter than 4-max (45.9%) — results from an elevated 3-bet threat (24.9%) with no prior-fold information.
SPR-driven c-bet attenuation
C-bet frequency drops with depth on all tested boards. K72r falls from 83.6% (100bb) to 68.3% (600bb); T98 from 65.0% to 46.4%; K94ss from 32.2% to 22.9%. Higher SPR forces check-back of marginal hands as the opponent has room to maneuver postflop. The drop is largest on dry boards, smallest on monotone boards.
Overbet unlock at deep stacks
River avg bet size on the K72r runout jumps from 25.5bb (100bb) to 54.4bb (600bb) — a structural discontinuity between 400bb and 600bb. Below 400bb avg bet stays 18–30bb. Above 400bb, clean 2× pot bets become callable actions and both value and bluff benefit from maximum sizing. River bet frequency also rises continuously, from 60.3% to 82.2%.
Call-suppression and 3-bet polarization
At 5% rake, BB call% drops −10.2pp (39.2% → 29.0%) and 3-bet% rises +2.4pp (12.6% → 15.0%). Marginal calls become EV-negative as rake eats the thin breakeven margin. These hands migrate to fold or 3-bet — the 3-bet avoids the flop rake charge when it induces a fold.
C-bet polarization under rake
At 5% rake, c-bet drops on dry boards (K72r −6.5pp, A94r −7.4pp) but rises on T98 (+5.6pp). On dry boards, thin continuation bets become unprofitable when the caller can realize equity across streets. On T98 the opener shifts to a pure value-bet strategy — fewer hands, each strong enough to justify the rake cost.
Ante & Blind Structure
Antes change everything. A single parameter — the per-player ante — takes a standard 6-max Cash game and transforms it into something nearly unrecognizable within just a couple of big blinds. Ranges triple in width. Limping becomes the equilibrium entry vehicle. Premium hands slow-play preflop by design, not by accident. And when you layer a straddle on top of the ante, the positional dynamics invert: the button — normally the loosest seat at the table — becomes the most constrained.
This chapter covers both axes together because they interact directly. Antes widen every position. The straddle narrows the button specifically. The compound effect of both in the same game creates "big game" dynamics where early positions play wider than the button.
All data is from 6-max, 100bb effective stacks, 3%/3bb cap rake — the Cash 1.1.0 baseline — with only the ante and blind structure varying.
1.1 Open VPIP widens dramatically with ante
The first thing that changes: how many hands each position plays. Here is the full sweep across six ante levels.
Open VPIP by position and ante level (2-blind, 6-max, 100bb, 3%/3cap rake).
| Ante | UTG | MP | CO | BTN |
|---|---|---|---|---|
| 0 bb | 17.2% | 22.9% | 28.1% | 43.3% |
| 0.25 bb | 21.8% | 27.0% | 36.2% | 54.2% |
| 0.5 bb | 24.5% | 29.7% | 39.6% | 58.2% |
| 1.0 bb | 31.9% | 40.0% | 53.1% | 79.4% |
| 2.0 bb | 51.4% | 59.6% | 80.0% | 96.4% |
| 2.5 bb | 57.2% | 67.9% | 84.6% | 97.4% |
Source: ch01-ante.md §1, Open VPIP by position and ante.
Open VPIP by position across six ante levels (2-blind, 6-max, 100bb).
Source: ch01-ante.md §1, Open VPIP by position and ante.
The expansion is monotonic at every position and massive in absolute terms. UTG — the tightest seat — goes from 17.2% to 57.2% across the 0→2.5bb ante range, a gain of 40 percentage points. BTN goes from 43.3% to 97.4%, a gain of 54 percentage points. At 2.5bb ante, the button plays nearly every hand dealt to it.
The expansion is not uniform across positions. BTN widens fastest because it has the fewest opponents left to act after its open. UTG widens the least because it must survive five opponents who might call or 3-bet. But even UTG at 2bb ante (51.4%) is playing wider than CO does in standard Cash (28.1%). The hand charts you memorized for 0bb-ante 6-max are obsolete the moment antes appear.
A rough heuristic: every 0.5bb of ante adds approximately 10–15 percentage points to CO and BTN VPIP.
1.2 Raise sizes grow with ante
Wider ranges alone do not tell the full story. The raises also get bigger.
Average raise size by position and ante level (2-blind, 6-max, 100bb).
| Ante | CO avg raise | BTN avg raise |
|---|---|---|
| 0 bb | 3.3bb | 4.8bb |
| 0.25 bb | 5.0bb | 6.9bb |
| 0.5 bb | 6.4bb | 8.2bb |
| 1.0 bb | 7.8bb | 9.4bb |
| 2.0 bb | 9.5bb | 13.8bb |
| 2.5 bb | 11.4bb | 17.4bb |
Source: ch01-ante.md §1, Raise sizes (CO avg raise bb).
CO's average open-raise grows from 3.3bb at 0bb ante to 11.4bb at 2.5bb ante. BTN grows even faster: 4.8bb to 17.4bb. These are not optional style choices.
BTN sizes grow faster than CO because BTN is also building a pot that the BB faces as a squeeze target — a larger BTN open prices out the BB more effectively when the BB's calling range is already wide from the ante-inflated pot odds.
1.3 Limping emerges as equilibrium strategy
This is the headline finding of the ante axis. In standard Cash (0bb ante), solvers never limp — limping is strictly dominated by raising or folding. Add antes, and limping comes back.
Limp% by position and ante level (2-blind, 6-max, 100bb).
| Ante | UTG limp% | MP limp% | CO limp% | BTN limp% |
|---|---|---|---|---|
| 0 bb | 0.0% | 0.0% | 0.0% | 0.0% |
| 0.5 bb | 0.3% | 0.2% | 0.5% | 2.7% |
| 1.0 bb | 11.3% | 10.1% | 16.3% | 50.3% |
| 2.0 bb | 37.6% | 46.8% | 77.0% | 95.0% |
| 2.5 bb | 50.8% | 63.1% | 83.7% | 95.9% |
Source: ch01-ante.md §2, Limp% by position and ante (2-blind).
The threshold is around 0.5bb ante — below that, limping barely exists. Above it, limping scales rapidly. By 1.0bb ante, BTN limps half the time. By 2.0bb ante, CO limps 77.0% and BTN limps 95.0%. At 2.5bb ante, limping is the dominant entry action at every position.
Premium hands limp too.
At 2bb+ ante, the limp range is not limited to speculative hands. At 1.0bb ante, CO's first limpers include suited connectors (T9s, 98s, 87s), small pairs (33, 22), and suited aces (A9s, A8s) — standard speculative implied-odds hands. But at 2.0bb ante, the limp range extends to the entire range including premiums: AA, KK, QQ, JJ, AKs, AKo, TT, and 99 all show significant limping frequency from CO.
This is not a model error. In a game-theory context, premium hands in a multiway limped pot can trap more chips than in a raised pot that folds everyone. The equilibrium response to a large ante is: limp most hands, raise only when you specifically want isolation and have a hand that benefits from heads-up play.
The practical shift: in a 2bb ante game, your open-raise with premium hands is reserved for situations where you want a smaller field against a specific opponent. Otherwise, enter by limping. The skill edge moves from preflop chart-reading to postflop play.
1.4 BB defense widens with ante
The big blind's response to all this dead money is predictable: defend almost everything.
BB defense vs CO 2.5bb open (2-blind, 6-max, 100bb).
| Ante | Def% | Fold% | Call% | Raise% |
|---|---|---|---|---|
| 0 bb | 51.8% | 48.2% | 39.2% | 12.6% |
| 0.25 bb | 76.5% | 23.5% | 61.5% | 14.9% |
| 0.5 bb | 84.5% | 15.5% | 68.0% | 16.5% |
| 1.0 bb | 88.1% | 11.9% | 66.6% | 21.5% |
| 2.0 bb | 90.3% | 9.7% | 55.1% | 35.3% |
| 2.5 bb | 91.2% | 8.8% | 51.9% | 39.3% |
Source: ch01-ante.md §4, BB defense vs CO 2.5bb open (2-blind).
At 0bb ante, BB folds 48.2% — nearly half the time. At 2.5bb ante, BB folds just 8.8%. The defense rate goes from 51.8% to 91.2%.
Two shifts happen simultaneously inside that defense range:
- At low ante (0–0.5bb): BB defense widens primarily through more calls. Call% jumps from 39.2% to 68.0% as BB gets better pot odds.
- At high ante (2.0–2.5bb): The composition flips. Call% actually drops from 68.0% back to 51.9%, while raise% surges from 16.5% to 39.3%. With massive dead money in the pot, marginal calling becomes less attractive — BB instead uses the ante pot to 3-bet squeeze profitably. The large pot makes preflop 3-bet squeezes a dominant action.
At 2.5bb ante, nearly four out of every ten BB defenses are 3-bets, not calls. If you are opening into the BB in a high-ante game, expect to face a 3-bet roughly 40% of the time the BB does not fold — and the BB almost never folds.
1.5 The 3-blind structure inverts button dynamics
The straddle adds a third forced blind: seat 2 (UTG position) posts 2bb and acts last preflop. This single structural change — moving the last-to-act preflop from BTN to the straddler — flips the positional dynamics at BTN.
Open VPIP: 2-blind vs 3-blind at 0bb ante (6-max, 100bb, 3%/3cap rake).
| Position | 2-blind | 3-blind | Delta |
|---|---|---|---|
| UTG | 17.2% | 20.0% | +2.8pp |
| MP | 22.9% | 26.7% | +3.8pp |
| CO | 28.1% | 30.6% | +2.5pp |
| BTN | 43.3% | 28.9% | −14.4pp |
Source: ch01-ante.md §3, Open VPIP: 2-blind vs 3-blind at ante=0.
Open VPIP by position, 2-blind vs 3-blind, at 0bb ante (6-max, 100bb).
Source: ch01-ante.md §3, Open VPIP: 2-blind vs 3-blind at ante=0.
UTG, MP, and CO each widen by 2–4 percentage points — the straddle's forced 2bb adds dead money that makes opening slightly more profitable from early and middle positions. But BTN drops from 43.3% to 28.9%, a contraction of 14.4 percentage points. In 3-blind, the button plays fewer hands than CO does in standard Cash.
BTN raise sizes triple in 3-blind.
The tightening is only half the story. The other half is sizing.
BTN and CO raise sizes: 2-blind vs 3-blind.
| 2-blind avg raise | 3-blind avg raise | |
|---|---|---|
| BTN, ante=0 | 4.8bb | 14.5bb |
| BTN, ante=2.5bb | 17.4bb | 19.6bb |
| CO, ante=0 | 3.3bb | 7.0bb |
Source: ch01-ante.md §3, 3-blind raise sizes.
At 0bb ante, BTN opens to 14.5bb average in 3-blind versus 4.8bb in 2-blind — roughly 3× the size. CO doubles from 3.3bb to 7.0bb.
BB defense is already wider in 3-blind.
Even at 0bb ante, BB defends more often in 3-blind than in 2-blind:
BB defense: 2-blind vs 3-blind at 0bb and 2.5bb ante.
| Ante | Def% (2-blind) | Def% (3-blind) | Call% (2-blind) | Call% (3-blind) | Raise% (2-blind) | Raise% (3-blind) |
|---|---|---|---|---|---|---|
| 0 bb | 51.8% | 75.5% | 39.2% | 62.1% | 12.6% | 13.3% |
| 2.5 bb | 91.2% | 92.7% | 51.9% | 58.2% | 39.3% | 34.5% |
Source: ch01-ante.md §4, 3-blind BB defense.
The straddle's dead money incentivizes BB to defend wide before any ante is added — 75.5% defense at 0bb ante in 3-blind versus 51.8% in 2-blind. At 2.5bb ante, both structures converge near 91–93% defense.
1.6 Ante × blind structure: opposing forces at BTN
The most interesting finding in this chapter is what happens when you combine antes and the straddle. They pull BTN in opposite directions.
BTN VPIP: 2-blind vs 3-blind across ante levels.
| Ante | BTN (2-blind) | BTN (3-blind) |
|---|---|---|
| 0 bb | 43.3% | 28.9% |
| 1.0 bb | 79.4% | 53.8% |
| 2.0 bb | 96.4% | 74.7% |
| 2.5 bb | 97.4% | 78.3% |
Source: ch01-ante.md §3, 3-blind ante × open VPIP.
BTN VPIP: 2-blind vs 3-blind across four ante levels (6-max, 100bb).
Source: ch01-ante.md §3, 3-blind ante × open VPIP.
The gap never closes. At 2.5bb ante, 2-blind BTN plays 97.4% of hands while 3-blind BTN plays 78.3% — a persistent ~19 percentage point gap. Even with the largest ante in our sweep, the straddle's squeeze threat still constrains BTN by nearly 20 percentage points.
For UTG/MP/CO, both axes push in the same direction. The ante widens them, and the straddle's dead money widens them further. At 2.5bb ante + 3-blind, CO VPIP reaches 66.8% — well above the 28.1% Cash baseline.
CO VPIP: 2-blind vs 3-blind across ante levels.
| Ante | CO (2-blind) | CO (3-blind) |
|---|---|---|
| 0 bb | 28.1% | 30.6% |
| 1.0 bb | 53.1% | 44.8% |
| 2.0 bb | 80.0% | 62.2% |
| 2.5 bb | 84.6% | 66.8% |
Source: ch01-ante.md §3, 3-blind ante × open VPIP.
Near-jam dynamics at BTN in "big game" setups.
The compound effect of large ante + straddle produces an extreme finding at BTN: at 2.5bb ante + 3-blind, 19.1% of BTN opens go all-in.
All-in% at high ante by position and structure.
| Config | AI% |
|---|---|
| 2-blind BTN, ante=2.5bb | 1.4% |
| 3-blind BTN, ante=2.5bb | 19.1% |
| 3-blind CO, ante=2.5bb | 5.3% |
| 3-blind MP, ante=2.5bb | 2.6% |
Source: ch01-ante.md §3, AI% emerges in 3-blind at high ante.
In 2-blind at the same ante, BTN's all-in rate is just 1.4%. The straddle structure is what creates the jam: BTN's average raise size in 3-blind already reaches 19.6bb at 2.5bb ante. At that point, a raise to ~20bb is large enough that the remaining commitment (80bb behind into a pot approaching 40bb+) makes the mid-range raise functionally equivalent to a shove. The equilibrium response: limp speculative hands or jam value hands. The thin isolation-raise in the middle — 10bb, say — is the dominated action because the straddle can profitably squeeze anything that is not close to all-in.
The key adjustments at a glance
- Ante above 0.5bb: start limping from late positions. Raising is still correct for hands that want isolation, but it is no longer the default entry action.
- Ante above 1.0bb: expect limping to dominate at BTN (50%+) and extend to early positions. Premium hands limp too.
- Ante above 2.0bb: BB almost never folds (90%+ defense). Blind steals are not a profitable strategy — enter pots to extract postflop value.
- Straddle present: tighten BTN by ~14pp and size opens 3× larger. Think of BTN as CO.
- Big game (straddle + high ante): BTN is the constrained position. Early positions are the loose ones. Expect near-jam-or-fold from BTN and near-universal BB defense.
What we didn't test in Ch 1
- Ante sweep is six discrete values (0, 0.25, 0.5, 1.0, 2.0, 2.5bb). The transitions between adjacent points are interpolated in the prose (e.g., "the limp threshold is around 0.5bb") but not directly measured. An ante of 1.5bb, for instance, has no data point.
- 3-blind re-sweep across non-zero antes uses the same ch01 batch data reanalyzed for the 3-blind parameter, not independently collected batches. The 3-blind × ante interaction table (§1.6) is a cross-tabulation of existing queries, not a separate experimental run.
- 3-blind at table sizes other than 6-max is not tested. The straddle's squeeze-suppression effect on BTN may differ at 4-max (where BTN is closer to the straddle in seating) or 9-max (where more prior folds may dilute the straddle's positional threat). Coaches applying 3-blind findings to non-6-max tables should treat them as directional only.
- Postflop lines beyond
K72rc-bet are not swept across ante levels. The c-bet finding (near-100% at ante ≥ 0.5bb on dry boards) may not generalize to wet or monotone boards at the same ante levels — those textures were not queried in the ch01 campaign.
Five practical adjustments
- Widen every position with ante. At 0.5bb ante, add 10–15 percentage points to CO and BTN VPIP. At 2bb ante, expect UTG to play 50%+ and BTN to play 95%+. The standard 6-max hand chart is obsolete above 0bb ante.
- Limp above 0.5bb ante. Below 0.5bb ante, raising is the only profitable entry. Above 0.5bb, the pot odds from dead money make limping equilibrium — especially at BTN and CO. At 2bb+ ante, even premium hands (AA, KK) enter by limping. Reserve open-raises for hands that specifically want to isolate.
- Size up your opens proportionally. CO average open goes from 3.3bb at 0bb ante to 11.4bb at 2.5bb ante. BTN goes from 4.8bb to 17.4bb. Undersizing in a high-ante game gives the table pot odds to call with everything.
- In a straddled game, treat BTN as CO. BTN drops 14.4pp in 3-blind vs 2-blind. Open BTN to 14.5bb (not 4.8bb). Only enter with hands that can withstand a straddle squeeze. UTG/MP/CO can widen 2–4pp — the straddle's dead money benefits them.
- BB almost never folds at high ante. At 2.5bb ante, BB defends 91.2% — folding only 8.8% of the time. Do not design your preflop opens around stealing blinds. Design them around building pots you can win postflop. At high ante, BB's 3-bet rate rises to 35–39% — expect frequent squeezes.
Research notes
Details for readers interested in the methodology behind the findings above. Skip this section if you just want the practical adjustments.
- The §1.6 cross-tab is a re-analysis, not new data. The ante × blind structure interaction table (BTN 2-blind vs 3-blind across 4 ante levels) was produced by re-querying the ch01 batch data (batch 01a) with the 3-blind parameter set, not by running separate experimental batches. The underlying model and checkpoint are the same as the single-axis data. This is methodologically clean — same model, same stacks, same rake — but it means the interaction is observed, not independently validated by a second training run.
- All-in percentage at BTN in 3-blind + 2.5bb ante (19.1%) is a direct batch output. This is not a computed or derived value — it is the fraction of BTN opening actions classified as all-in in the batch query output. The same batch reports 2-blind BTN AI% at 2.5bb ante as 1.4%, confirming that the straddle structure is the differentiating factor.
- Premium-hand limping at 2bb+ ante (batch 01d). The finding that AA, KK, QQ, JJ, AKs, and AKo all show significant limp frequency from CO at 2bb ante comes from per-hand limp composition data in batch 01d. This behavior is consistent with the dead-money mechanism — premium hands in a multiway limped pot can trap more chips than in a raised pot that folds everyone — but the research has not assigned a separate mechanism label to this specific sub-behavior. It is treated as a consequence of the same dead-money pull that drives range widening generally. Coaches citing the "premiums limp at high ante" finding should attribute it to the dead-money mechanism, not to a distinct slow-play effect.
- Raise sizing mechanism is partially interpretive. The prose states that raise sizes grow "to maintain proper pot odds vs callers" and "to price out the straddle." These are standard game-theoretic explanations, flagged in the body with "Based on general poker theory" markers. The model output shows the sizing numbers directly; the causal explanation for why those sizes are optimal is our interpretation from pot-odds geometry, not a labeled mechanism in the source data.
- The 2bb ante limp composition in batch 01d lists AA, KK, QQ, JJ, AKs, AKo, TT, and 99 as "notable limpers." The source does not provide exact per-combo limp frequencies for these hands at 2bb ante — it reports them as having limping frequency above a threshold that placed them in the "notable" category. The body text says "significant limping frequency" rather than citing a specific percentage for this reason.
Table Size
Adding a player changes everything for some positions and almost nothing for others. That asymmetry is the entire story of this chapter.
We swept six table sizes — 2 (heads-up), 3, 4, 6, 8, and 9 players — holding everything else at Cash 1.1.0 defaults: 2-blind, 0bb ante, 100bb stacks, 3%/3cap rake. Every number in this chapter comes from that sweep.
2.1 UTG tightens monotonically with table size
The early-position squeeze is the cleanest single finding in the table-size data. Every player you add to the table costs UTG about 3–5 percentage points of VPIP.
VPIP by position and table size (all positions that exist at each size)
| Size | BTN | CO | HJ | MP / MP1 | UTG |
|---|---|---|---|---|---|
| 2-max (HU) | 84.6% | — | — | — | — |
| 3-max | 43.6% | — | — | — | — |
| 4-max | 45.9% | — | — | — | 28.4% |
| 6-max | 43.3% | 28.1% | — | 22.9% | 17.2% |
| 8-max | 44.2% | 29.5% | 19.0% | 16.8% | 12.1% |
| 9-max | 49.8% | 30.7% | 21.4% | 14.3–14.5% | 11.0% |
Source: ch02-table-size.md §1 (VPIP by position and table size table)
Reading the UTG column top to bottom: 28.4% → 17.2% → 12.1% → 11.0%. At a 9-max table, UTG opens barely one hand in nine. At 4-max, it is closer to one in three.
The intermediate positions follow the same pattern at reduced intensity. CO barely moves across table sizes (28.1% at 6-max, 29.5% at 8-max, 30.7% at 9-max) because CO always faces roughly the same number of opponents behind it — BTN, SB, and BB. HJ at 8-max (19.0%) and 9-max (21.4%) sits between CO and UTG, as you would expect.
UTG VPIP from 4-max through 9-max. Each additional player at the table tightens UTG by approximately 3–5pp.
Source: ch02-table-size.md §1 (VPIP by position and table size table)
2.2 BTN is range-bound across table sizes
BTN tells a different story. Across every table size from 4-max through 9-max, BTN VPIP stays inside a narrow band: 43.3% to 49.8%.
BTN VPIP by table size
| Size | BTN VPIP |
|---|---|
| 4-max | 45.9% |
| 6-max | 43.3% |
| 8-max | 44.2% |
| 9-max | 49.8% |
Source: ch02-table-size.md §1 (VPIP by position and table size table)
The standout number: 9-max BTN (49.8%) is wider than 6-max BTN (43.3%). That is a 6.5pp gap in the direction most people would not expect. The intuition says "bigger table, tighter everywhere." The data says BTN goes the other way.
BTN's positional advantage is structurally locked in at any table size: it acts last preflop (in 2-blind), it sees everyone else fold first, and it only needs to beat the blinds. The width of BTN's range reflects how weak those blinds are expected to be — and at 9-max, after 7 prior folds, they are expected to be weakest.
2.3 Heads-up is its own regime
HU BTN/SB plays 84.6% of hands. That is nearly double the 4-max BTN (45.9%) and almost exactly double the 6-max BTN (43.3%).
At 2-max, there is no positional gradient between "early" and "late" — there is only BTN (who acts first preflop, last postflop) and BB. BTN is structurally forced into most pots because folding forfeits the small blind to a single opponent who has already committed the big blind. The game is essentially a war of attrition where both players play wide and postflop skill determines EV.
Source: ch02-table-size.md §1 (VPIP by position and table size table — HU row)
2.4 Raise sizes collapse at larger tables
The sizing shift is as dramatic as the VPIP story — maybe more so, because it affects every hand you play.
BTN and CO average raise size by table size
| Size | BTN avg raise | CO avg raise |
|---|---|---|
| HU (2-max) | 2.0bb | — |
| 3-max | 2.2bb | — |
| 4-max | 3.3bb | — |
| 6-max | 4.8bb | 3.3bb |
| 8-max | 2.4bb | 2.8bb |
| 9-max | 2.2bb | 2.2bb |
Source: ch02-table-size.md §1 (Raise sizes shrink dramatically at larger tables)
At 6-max, BTN standard open is 4.8bb. At 9-max, it is 2.2bb — a min-raise. CO follows the same trajectory: 3.3bb at 6-max, 2.2bb at 9-max.
BTN average raise size by table size. The 6-max peak (4.8bb) collapses to a min-raise (2.2bb) by 9-max.
Source: ch02-table-size.md §1 (Raise sizes shrink dramatically at larger tables)
At 6-max, BTN has seen only 3 folds. The remaining SB and BB could still hold strong hands — their ranges have been filtered by fewer prior passes. A larger open (4.8bb) is needed to generate meaningful fold equity over these wider defending ranges.
The HU sizing (2.0bb) reflects a completely different logic: at HU, both players have near-universal ranges, so the raise size is small because there is no profitable "isolation" sizing against a 100% defending range.
2.5 BB defense contracts as the table grows
BB defends less as the opener's range gets stronger.
BB defense vs table size
| Size | Opener | Def% | Fold% | Call% | Raise% |
|---|---|---|---|---|---|
| 2-max (HU) | BTN | 75.0% | 25.0% | 47.4% | 27.6% |
| 4-max | BTN | 59.3% | 40.7% | 42.6% | 16.7% |
| 6-max | CO | 51.8% | 48.2% | 39.2% | 12.6% |
| 8-max | CO | 51.5% | 48.5% | 35.5% | 16.0% |
| 9-max | CO | 50.2% | 49.8% | 38.6% | 11.5% |
Source: ch02-table-size.md §2 (BB defense by table size)
The trajectory: 75.0% at HU → 59.3% at 4-max → 50.2% at 9-max. Once you reach 6 players, defense stabilizes in the 50–52% band. The jump from HU to 4-max (−15.7pp) is much larger than from 6-max to 9-max (−1.6pp).
BB defense rate from HU to 9-max. Defense converges around 50–52% once the table reaches 6+ players.
Source: ch02-table-size.md §2 (BB defense by table size)
At HU, BTN opens 84.6% of hands. BB is getting excellent pot odds and faces one of the weakest possible opening ranges. Defense at 75% follows directly.
2.6 C-bet peaks at 8-max, not 9-max
This is the most counterintuitive finding in the table-size data. You would expect a monotonic increase in c-bet frequency with table size — stronger opener range, weaker BB range, more fold equity — but the data does not cooperate.
K72r c-bet frequency by table size (dry K-high board)
| Size | Opener | C-bet% | Avg bet |
|---|---|---|---|
| 2-max (HU) | BTN | 69.1% | 2.1bb |
| 3-max | BTN | 69.7% | 2.2bb |
| 4-max | BTN | 82.5% | 2.3bb |
| 6-max | CO | 83.6% | 2.4bb |
| 8-max | CO | 91.7% | 2.4bb |
| 9-max | CO | 81.1% | 2.3bb |
Source: ch02-table-size.md §3 (Flop c-bet by table size and board texture — K72r)
The peak is 91.7% at 8-max. Then the curve drops: 9-max c-bet falls to 81.1%, below 6-max (83.6%). The source data documents this drop as a finding. The mechanism driving the 9-max decline from 8-max is not established in the source research — only the direction and magnitude are confirmed.
At the other end, HU and 3-max cluster around 69–70%, well below the 82–92% band at 4–8-max.
K72r, BB holds top-pair-equivalent hands at a much higher frequency than at 6-max (where BB defends a filtered 51.8%). The opener's range advantage — which normally dominates on dry K-high boards — is diluted when both players have near-universal ranges. BTN cannot c-bet as freely because BB connects with the K more often per unit of range.
A secondary HU finding from the multi-board data: T98 c-bet at HU (66.2%) is higher than at 6-max (59.5%), while K94ss remains the lowest at both formats (23.2% at HU vs 32.2% at 6-max). The dry/wet c-bet ordering partially reverses at HU — a wet connected board is not structurally worse for the opener when both players have equity everywhere.
Multi-board HU c-bet vs 6-max
| Board | HU BTN c-bet% | HU avg bet | 6-max CO c-bet% |
|---|---|---|---|
K72r | 69.1% | 2.1bb | 83.6% |
A94r | 59.4% | 2.0bb | 64.9% |
T98 | 66.2% | 2.0bb | 59.5% |
K94ss | 23.2% | 1.9bb | 32.2% |
Source: ch02-table-size.md §3 (Multi-board HU c-bet — Batch 02d data)
2.7 The 3-max BTN anomaly
One more finding that runs against the "shorter table = looser play" intuition.
3-max BTN opens 43.6%. 4-max BTN opens 45.9%. The smaller table is tighter.
The source investigated this thoroughly. The resolution: BB's 3-bet frequency.
3-max vs 4-max BTN anomaly — BB defense comparison
| Size | BB def% | BB call% | BB raise% |
|---|---|---|---|
| 3-max | 59.5% | 34.6% | 24.9% |
| 4-max | 59.3% | 42.6% | 16.7% |
Source: ch02-table-size.md §4 (3-max vs 4-max BTN anomaly — BB defense comparison)
At 3-max, BB 3-bets 24.9% — 8pp higher than at 4-max. Overall defense is essentially identical (59.5% vs 59.3%), but the composition shifts dramatically. BB at 3-max calls less and 3-bets more.
The elevated 3-bet threat (24.9%) forces BTN to open only hands that can withstand a squeeze — hands strong enough to 4-bet or to call the 3-bet profitably. Speculative hands (suited gappers, small pairs planning to set-mine) cannot withstand that frequency of 3-betting, so they fold.
The short version: 3-max BTN is effectively "UTG at a 4-max table." It acts first, with no prior-fold information, and faces aggressive opposition as a result.
The key adjustments at a glance
| Moving from → to | What changes | Direction |
|---|---|---|
| 6-max → 9-max | UTG opens ~6pp tighter (17% → 11%) | Tighten early positions |
| 6-max → 9-max | BTN opens ~7pp wider (43% → 50%) | Widen BTN |
| 6-max → 9-max | BTN raise drops from 4.8bb to 2.2bb | Min-raise everywhere |
| 6-max → 9-max | BB defense barely changes (52% → 50%) | Negligible |
| 6-max → HU | BTN opens 84.6% of hands | Entirely different regime |
| 6-max → HU | C-bet K72r drops from 84% to 69% | More selective c-bet |
| 6-max → 4-max | UTG opens like 6-max CO (28%) | Widen early positions |
| 6-max → 3-max | BTN is tighter than 4-max (44% < 46%) | Tighten BTN vs 3-bet threat |
What we didn't test in Ch 2
- Table sizes 5, 7, and 10 were not swept. These are uncommon live formats but the data gaps mean the chapter cannot confirm whether the UTG contraction curve is smooth across all sizes or has discrete steps.
- Positions other than BTN and UTG at non-6-max sizes have sparse data. CO, HJ, MP at 4-max, 8-max, and 9-max are covered in the VPIP table but were not probed for full c-bet or BB defense analysis. Coaches applying c-bet findings to HJ at 8-max are extrapolating.
- Multiway pot dynamics were not measured. All c-bet data is heads-up-to-the-flop (SRP). Table size affects how often pots go multiway, but the multiway c-bet strategy itself was not part of this sweep.
- 3-bet pot c-bet by table size was not tested. The c-bet data covers single-raised pots only. Whether the c-bet table-size relationship changes in 3-bet pots is unknown.
Five practical adjustments
- At 9-max, cut UTG's opening range to roughly 11%. That is top pairs (TT+), AK, AQs, and a handful of suited broadways. If you play UTG like 6-max (17%), you are opening 50% too wide.
- At 9-max, min-raise from all positions. BTN avg raise is 2.2bb. CO avg raise is 2.2bb. Do not bring 6-max sizing conventions (4–5bb) to a full table.
- At HU, c-bet dry boards less than at 6-max.
K72rc-bet drops from 83.6% at 6-max to 69.1% at HU. Both players have near-universal ranges, so the opener's range advantage is diluted. Check back more often on boards that feel automatic at 6-max. - BTN at 9-max is wider than BTN at 6-max. 49.8% vs 43.3%. Seven prior folds weaken the blinds' expected ranges. Open wider from BTN at a full table, not tighter.
- At 3-max, treat BTN as an early position. BB 3-bets 24.9% at 3-max — 8pp more than at 4-max. Do not open speculative hands from BTN at 3-max expecting the fold equity you get at 4-max or 6-max.
Research notes
Details for readers interested in the methodology behind the findings above. Skip this section if you just want the practical takeaways.
- The 3-max BTN anomaly (M-5 in the mechanism registry) is confirmed but counterintuitive. 3-max BTN VPIP (43.6%) < 4-max BTN VPIP (45.9%) is a robust finding: it appears in the VPIP data (ch02), the per-combo investigation (Batch 02e), and the BB defense split (24.9% 3-bet at 3-max vs 16.7% at 4-max). The mechanism — BTN acting first without prior-fold information, causing BB to 3-bet more aggressively — is well-supported. However, it is worth noting that 3-max is a relatively rare live format, and we have not tested whether this anomaly persists under ante or with asymmetric stacks. Coaches citing the 3-max finding should note it was tested at 0bb ante, 100bb stacks, 3%/3 rake only.
- The c-bet peak at 8-max (91.7%) was not predicted pre-campaign. The working hypothesis was that c-bet frequency on dry boards would increase monotonically with table size as opener ranges strengthened. The data shows a peak at 8-max followed by a decline to 81.1% at 9-max. The mechanism for this 9-max decline is not established in the source data. Possible explanations include the wider 9-max BTN range (49.8% vs 44.2% at 8-max) diluting the opener's range advantage, or a subtle shift in BB's postflop defending strategy at 9-max. This remains an open question for future investigation.
- HU c-bet ordering reversal across board textures. At HU, T98 c-bet (66.2%) is higher than 6-max T98 c-bet (59.5%), while K72r at HU (69.1%) is lower than 6-max K72r (83.6%). The partial reversal of the dry/wet c-bet ordering at HU is documented in Batch 02d. The interpretation — that near-universal ranges erode texture-specific advantages — is consistent with CE-3c in the causal layer but has not been tested on additional board textures beyond the four probed (
K72r,A94r,T98,K94ss). - The model trains on table sizes 2–10 continuously (MAX_PLAYERS = 10 in holdem_layout.h). The sweep tested 2, 3, 4, 6, 8, and 9 players. Table sizes 5, 7, and 10 are within the trained range but were skipped as uncommon live formats. Interpolation between tested sizes (e.g., predicting 7-max UTG VPIP from the 6-max and 8-max data) is reasonable but not confirmed.
Stack Depth
Stack depth changes everything except the hand you were dealt. Move from 20bb to 600bb and the same hand, in the same position, on the same board, gets played a completely different way — because the relationship between your stack and the pot rewrites every decision on every street.
This chapter traces how preflop ranges, BB defense, flop c-bets, and river sizing each shift across six depths: 20, 50, 100, 200, 400, and 600bb. All data is 6-max, 2-blind, 0bb ante, 3%/3cap rake — the Cash 1.1.0 baseline with only the stack parameter changed.
BTN widens with depth — UTG barely moves
The button is the most depth-sensitive position at the table. UTG is nearly immune.
VPIP by position and stack depth (6-max, 2-blind, 0bb ante, 3%/3cap rake).
| Depth | UTG | MP | CO | BTN |
|---|---|---|---|---|
| 20 bb | 15.6% | 22.4% | 24.4% | 30.6% |
| 50 bb | 17.8% | 23.9% | 27.6% | 39.4% |
| 100 bb | 17.2% | 22.9% | 28.1% | 43.3% |
| 200 bb | 17.5% | 23.1% | 29.5% | 46.9% |
| 400 bb | 17.7% | 22.7% | 29.5% | 48.9% |
| 600 bb | 17.6% | 22.0% | 28.7% | 49.2% |
Source: ch03-depth.md §1 — VPIP by position and depth.
BTN VPIP across six stack depths. The steepest climb is between 20bb and 100bb; from 200bb onward the curve flattens.
Source: ch03-depth.md §1
BTN gains +18.6pp from 20bb to 600bb. Nearly half of that gain — +12.7pp — happens between 20bb and 100bb. From 200bb to 600bb, the gain slows to just +2.3pp. The curve has a knee, not a constant slope.
UTG and MP barely move. UTG sits in a 15.6%–17.8% band across every depth tested, never shifting more than ~2pp in either direction. MP is similarly stable at 22.0%–23.9%. CO shows modest widening — +4.3pp from 20bb to 200bb — then flattens.
The 20bb regime is qualitatively different. At 20bb, BTN plays only 30.6% — a range that must be willing to face a 3-bet shove and commit. Speculative hands that make BTN profitable at 100bb are unplayable at 20bb because there is not enough stack behind to realize implied value. The open raise at 20bb is effectively a commitment vehicle: you open the hand you are prepared to go all-in with.
BB defense pivots from shove-dominated to call-dominated
BB's response to a CO 2.5bb open shifts structurally across depths. At 20bb, BB's defense is raise-heavy. At 600bb, it is call-heavy. The total defense rate stays surprisingly stable from 50bb onward — but its composition changes.
BB defense vs CO 2.5bb open, by stack depth.
| Depth | Def% | Fold% | Call% | Raise% |
|---|---|---|---|---|
| 20 bb | 32.6% | 67.4% | 8.7% | 23.9% |
| 50 bb | 49.6% | 50.4% | 34.7% | 14.9% |
| 100 bb | 51.8% | 48.2% | 39.2% | 12.6% |
| 200 bb | 52.2% | 47.8% | 37.3% | 14.9% |
| 400 bb | 52.8% | 47.2% | 40.8% | 11.9% |
| 600 bb | 52.1% | 47.9% | 43.4% | 8.6% |
Source: ch03-depth.md §2 — BB defense by depth.
Three regimes are visible:
20bb — shove-or-fold. Defense collapses to 32.6%. Call% is only 8.7% — almost no flat-calls. Raise% (which includes shoves) is 23.9%. BB's range splits into hands strong enough to commit now (shove) and hands too weak to continue (fold). The flat-call — which at 100bb would be the dominant response — is the worst option at 20bb because calling commits a significant fraction of the remaining stack without extracting fold equity.
50–200bb — the stable band. Defense settles at 49.6%–52.2%, a narrow ~3pp window. The internal mix shifts: call% climbs from 34.7% to 39.2% and raise% drifts from 14.9% to 12.6% as the stack behind offers more room to maneuver postflop.
400–600bb — calls overtake raises. At 600bb, call% reaches 43.4% and raise% drops to 8.6%.
C-bet attenuation — deeper stacks mean fewer flop bets
The solver's flop c-bet frequency drops with depth on every board texture tested. But the rate of the drop depends on the board.
CO c-bet frequency on four board textures, by stack depth (CO vs BB, single-raised pot).
| Depth | K72r (dry K-high) | A94r (dry A-high) | T98 (wet connected) | K94ss (monotone) |
|---|---|---|---|---|
| 20 bb | 84.4% | 98.4% | 65.0% | 45.9% |
| 50 bb | 89.6% | 83.7% | 62.0% | 40.6% |
| 100 bb | 83.6% | 64.9% | 59.5% | 32.2% |
| 200 bb | 75.7% | 58.2% | 55.1% | 26.2% |
| 400 bb | 70.0% | 58.7% | 49.9% | 23.6% |
| 600 bb | 68.3% | 61.5% | 46.4% | 22.9% |
Source: ch03-depth.md §3 — CO c-bet frequency on 4 boards.
Flop c-bet frequency across depths for three board textures. All three lines drop, but dry K-high drops the most in absolute terms while monotone starts low and stays low.
Source: ch03-depth.md §3
K72r (dry K-high): The headline number — 83.6% at 100bb drops to 68.3% at 600bb, a −15.3pp decline. The decline is monotonic from 50bb through 600bb. At 20bb the rate is slightly lower than 50bb (84.4% vs 89.6%), which likely reflects the near-commitment dynamic where mixed bet/check gives way to a more committed strategy.
T98 (wet connected): The most predictable line — monotonic from 65.0% to 46.4% across the full range, −18.6pp total. No anomalies at any depth.
K94ss (monotone): Uniformly low. Starts at 45.9% at 20bb and drops to 22.9% at 600bb. On a monotone board, every caller has a credible flush draw. The deeper the stacks, the more room that caller has to realize the draw — and the less profitable a c-bet becomes.
A94r (dry A-high): The most dramatic shape. Spikes to 98.4% at 20bb — essentially mandatory c-betting at shallow depth on an ace-high dry board. Then drops sharply to 64.9% at 100bb, stabilizes in the 58–62% range at 200–600bb. The 20bb spike is a structural finding: at that depth, calling preflop against a CO open has nearly committed the effective stacks, and an ace-high flop resolves the equity question for most hands in CO's range.
C-bet sizing grows marginally with depth
C-bet sizing on two board textures at three depths.
| Depth | K72r avg bet | T98 avg bet |
|---|---|---|
| 20 bb | 1.8bb | 2.0bb |
| 100 bb | 2.4bb | 2.5bb |
| 600 bb | 2.6bb | 2.5bb |
Source: ch03-depth.md §3 — C-bet sizing.
The sizing adjustment is small — +0.2bb on dry boards from 100bb to 600bb. The frequency drop is the main event, not the sizing shift.
3-bet pot c-bet: frequency is 100% at every depth
In a 3-bet pot on K♦7♠2♥ (CO opens, BTN 3-bets to 8bb, CO calls, CO checks, BTN to act), the c-bet question has a flat answer.
BTN c-bet in 3-bet pot on K♦7♠2♥, by depth.
| Depth | SPR (approx) | Bet% | Avg bet |
|---|---|---|---|
| 100 bb | 5.6 | 100% | 6.1bb |
| 300 bb | 17.7 | 100% | 7.5bb |
| 600 bb | 35.9 | 100% | 7.0bb |
Source: ch03-depth.md §4 — 3-bet pot c-bet × depth.
The frequency is 100% at all three depths tested. When BTN 3-bet and the flop comes K♦7♠2♥, the board so strongly favors the 3-bettor's range that depth has no effect on the decision to bet. The variation appears only in sizing — 6.1bb at 100bb, 7.5bb at 300bb, 7.0bb at 600bb — and even that variation is modest.
This is a reminder that not every strategic decision is depth-sensitive. When one player's range dominates the board this thoroughly, the correct action converges across all SPR levels. The depth effects documented in §3.3 and §3.5 emerge on boards and streets where the range advantage is less absolute.
Hand example from ch03-depth.md §4 (CO opens 2.5bb, BTN 3-bets to 8bb, CO calls, flop K♦7♠2♥).
The overbet unlock: a step function, not a gradient
The most dramatic depth effect in this chapter is not on the flop. It is on the river.
Runout: K♦7♠2♥ → 3♦ → 7♣. CO opens, BB calls. Flop c-bet/call, turn bet/call, river BB checks, CO to act.
Multi-street betting profile across five stack depths on K♦7♠2♥ → 3♦ → 7♣.
| Depth | Flop cbet% | Flop avg | Turn barrel% | Turn avg | River bet% | River avg |
|---|---|---|---|---|---|---|
| 100 bb | 83.6% | 2.4bb | 60.5% | 11.4bb | 60.3% | 25.5bb |
| 200 bb | 75.7% | 2.5bb | 55.8% | 11.6bb | 63.4% | 24.2bb |
| 300 bb | 72.0% | 2.5bb | 55.7% | 11.7bb | 69.0% | 24.8bb |
| 400 bb | 70.0% | 2.5bb | 55.7% | 11.7bb | 74.4% | 29.8bb |
| 600 bb | 68.3% | 2.6bb | 55.8% | 11.7bb | 82.2% | 54.4bb |
Source: ch03-depth.md §5 — Turn + river sizing × depth.
River average bet size at five depths. The line stays flat (18–30bb) through 400bb, then jumps to 54.4bb at 600bb — a discontinuous step, not a gradual rise.
Source: ch03-depth.md §5
Two things happen on the river as stacks deepen. Both matter. But they happen at different speeds.
River bet frequency rises gradually. 60.3% at 100bb → 63.4% → 69.0% → 74.4% → 82.2% at 600bb. This is a smooth climb. Medium-strength hands increasingly prefer check-back as SPR grows, concentrating the betting range into strong value hands and bluffs. The result: more hands bet, because the range that bets is more polarized.
River bet size stays flat — then jumps. Average bet sits in the 24–30bb range from 100bb through 400bb. Then between 400bb and 600bb it nearly doubles: 29.8bb → 54.4bb. That is a 2× pot overbet at 600bb.
This is the central finding of the depth research at the river. The overbet unlock is a step function, not a linear ramp. Below 400bb, the average river bet stays in the pot-sized neighborhood. Above 400bb, it jumps to 2× pot territory.
Turn barrel frequency, by contrast, is flat. Turn bet% stabilizes at 55–56% from 200bb onward. The check-back vs barrel decision at the turn converges quickly and doesn't shift through 600bb. Depth rearranges the river more than any earlier street.
Hand example from ch03-depth.md §5 (CO opens vs BB, K♦7♠2♥ → 3♦ → 7♣, full three-street sequence).
The 20bb regime: near-commitment poker
Twenty big blinds is not shallow-stack Cash. It is a different game.
Three findings capture the regime:
BTN tightens to 30.6%. At 20bb, a BTN open raise is functionally a commitment decision. Many hands that are profitable opens at 100bb cannot call a 3-bet shove at 20bb, so they should not be opened. The range narrows to hands willing to go all-in: high pairs, strong broadways, and suited aces.
BB defense collapses to 32.6%. The flat-call practically disappears — only 8.7% of BB's defending hands call rather than raise. Raise% reaches 23.9%, the highest at any depth tested. BB's strategy converges on shove-or-fold: either the hand is strong enough to commit now (shove), or it is not worth continuing for (fold). The calling option — which dominates at 100bb+ — is the worst choice at 20bb because it commits a large fraction of the stack without extracting fold equity.
A94r c-bet spikes to 98.4%. On an ace-high dry board at 20bb, CO c-bets almost every hand. This is the shallowest SPR regime in the data. Calling preflop at 20bb has nearly committed the stacks, and an ace-high flop resolves the equity question for most hands in CO's range. Checking back is a significant mistake — it gives a free card to a caller whose preflop investment is already near-pot-committed.
Data from ch03-depth.md §1 (BTN VPIP 20bb), §2 (BB defense 20bb), §3 (A94r c-bet 20bb).
The contrast with 100bb captures why depth matters. At 100bb, BB calls 39.2% and raises only 12.6%. At 20bb, those numbers flip: 8.7% call, 23.9% raise. Same game rules, same positions, same rake — a completely different strategic structure.
The key adjustments at a glance
Summary of key metrics at 20bb, 100bb (baseline), and 600bb.
| Metric | 20bb | 100bb (baseline) | 600bb |
|---|---|---|---|
| BTN VPIP | 30.6% | 43.3% | 49.2% |
| BB def% | 32.6% | 51.8% | 52.1% |
| BB call% | 8.7% | 39.2% | 43.4% |
| BB raise% | 23.9% | 12.6% | 8.6% |
CO c-bet K72r | 84.4% | 83.6% | 68.3% |
CO c-bet A94r | 98.4% | 64.9% | 61.5% |
| River avg bet | — | 25.5bb | 54.4bb |
| River bet% | — | 60.3% | 82.2% |
Source: ch03-depth.md §§1–5.
What we didn't test in Ch 3
- No depths between 400bb and 600bb were tested. The overbet discontinuity is confirmed to sit between 400bb and 600bb, but the exact threshold is not pinpointed. Coaches applying the "overbet unlock" finding should expect the transition somewhere in that range — not at 450bb, not at 550bb, simply "between 400 and 600."
- No 50bb or 150bb data for multi-street runouts. The flop c-bet table includes 50bb, but the river step-function table starts at 100bb. Coaches working at 50bb or 150bb effective should interpolate cautiously — the 20bb-to-100bb transition is qualitative (regime change), not a smooth curve.
- MP and CO postflop data at non-100bb depths is sparse. The c-bet tables are CO vs BB only. MP postflop dynamics at 200bb+ are not covered. Do not assume CO c-bet rates apply to MP at non-standard depths.
- River dynamics are tested on a single runout (
K♦7♠2♥ → 3♦ → 7♣). This is a dry, K-high, paired-river board that strongly favors the opener's range. The overbet threshold may differ on wet boards, coordinated runouts, or boards where the defender has a range advantage.
Five practical adjustments
- At 20bb, convert BB defense to shove-or-fold. Stop flat-calling. The data shows 8.7% call at 20bb vs 39.2% at 100bb — the solver almost never calls. If the hand is strong enough to continue, shove. If it is not, fold. The in-between is the trap.
- At 200bb+, c-bet dry boards 10–15pp less than at 100bb.
K72rdrops from 83.6% to 68.3% at 600bb. Check back medium-strength hands (second pair, weak top pair) and develop a check-back/delayed-bet line. The deeper the stacks, the less your opponent folds to a small flop bet. - At 600bb, plan on overbetting rivers. Average river bet jumps to 54.4bb — roughly 2× pot on this runout. When you do bet the river at deep stacks, size large. When your opponent bets large, their range is polarized: call with bluff-catchers at disciplined frequencies, fold medium-strength holdings.
- In 3-bet pots on dry boards, c-bet 100% regardless of depth. The frequency is flat at 100% on
K♦7♠2♥from 100bb through 600bb. The range advantage is so dominant that depth does not create a check-back incentive. The variation shifts to sizing and later streets, not flop frequency. - BTN VPIP widens +6pp from 100bb to 600bb. The additional hands are implied-odds speculative hands: small pairs, suited connectors, suited aces. These are the hands that become profitable when you have deep enough stacks behind to get paid when you hit.
Research notes
Details for readers interested in the methodology behind the findings above. Skip this section if you just want the practical takeaways.
- 600bb training-distribution confidence. The CUDA source confirms that stacks are sampled per-hand as
100bb × lognormal(σ)from a configurable distribution (meta_seed_sampler.h:376–394). The specificstack_dist_valuesarray that controls which average stacks appear in training has not been sighted from source — the project lead has stated 600bb is expected to be within the training distribution, but this is not yet confirmed at source level. All 600bb findings are empirically observed solver outputs, but they carry lower confidence than 100bb findings until the training-config is verified. This is a Phase 6 blocker, not a Phase 1 blocker. - The overbet discontinuity between 400bb and 600bb (M-7 in the hypothesis registry). This is a structural finding — the step function at the river is not caused by a single marginal hand shifting, but by the SPR threshold for clean 2× pot bets being crossed on this specific runout. Testing intermediate depths (e.g., 450bb, 500bb, 550bb) would narrow the threshold but is not expected to change the finding's character. The discontinuity would still exist; only its exact location would move.
- SPR-driven c-bet attenuation mechanism (M-6 in the hypothesis registry). The causal explanation for §3.3 relies on general poker theory (SPR controls how freely opponents call, which reduces the profitability of mixed c-bets at high SPR). This is consistent with the data across all four boards but is an interpretation, not a direct model output. The model does not expose its "reasoning" — we observe the frequency shifts and apply standard game-theoretic causal logic.
- A94r 20bb spike context. The 98.4% c-bet at 20bb on
A94ris the highest single-cell c-bet frequency in the depth sweep. The mechanism explanation (near-commitment at shallow SPR on an ace-high board) is well-supported by general theory, but this specific board was not tested at 15bb or 25bb to confirm the exact depth at which the spike begins. Coaches should expect near-mandatory c-betting on ace-high dry boards in the 15–25bb range, with the exact frequency varying by specific board.
Rake
Rake is the quietest axis in the book. It barely touches preflop opens, dramatically reshapes BB defense, and does something on the river that nobody predicted.
The sweep covers four configurations: 0%/0bb cap, 2%/2bb cap, 3%/3bb cap, and 5%/5bb cap. The 3%/3bb row is the Cash 1.1.0 baseline — the same model state that anchors every other chapter. One of the four configurations (2%/2bb) produces anomalous results and is excluded from all theory claims. The usable comparison is 0% vs 3% vs 5%.
One structural detail matters for everything that follows: the model uses a no-flop-no-drop rule. Rake is charged only when a flop is dealt. Pots that resolve preflop — where someone folds to an open-raise or a 3-bet — are never raked. This single rule explains why rake is invisible to openers but punishing to callers.
Preflop opens are rake-insensitive
Rake does not change how often you open.
VPIP by position across four rake levels (6-max, 2-blind, 0bb ante, 100bb):
| Rake | UTG | MP | CO | BTN |
|---|---|---|---|---|
| 0%/0cap | 17.2% | 22.9% | 28.1% | 43.3% |
| 2%/2cap | 17.2% | 22.5% | 27.8% | 42.6% |
| 3%/3cap | 17.2% | 22.9% | 28.1% | 43.3% |
| 5%/5cap | 17.5% | 23.6% | 29.4% | 43.3% |
Source: ch04-rake.md §1, VPIP by position and rake
The total variation across the entire 0–5% sweep is less than 2pp at every position. CO moves from 28.1% to 29.4% at 5% rake — the largest shift in the table — and even that is marginal. BTN is identical at 0% and 5%.
The slight widening at CO (28.1% → 29.4% at 5%) is consistent with this: if BB folds more often at high rake (and BB does — see §4.2), the opener's steal frequency can increase marginally. But the effect is tiny.
The takeaway: if someone tells you to tighten your opening range because the rake is high, the solver disagrees. Rake operates on post-flop decisions, not on the decision to enter the pot.
BB defense drops hard at 5% rake
This is where rake bites. BB is the player who calls the most flops — and every flop call triggers the rake.
BB action breakdown vs CO open, by rake level (6-max, 100bb):
| Rake | Def% | Fold% | Call% | 3-bet% |
|---|---|---|---|---|
| 0%/0cap | 51.8% | 48.2% | 39.2% | 12.6% |
| 3%/3cap | 51.8% | 48.2% | 39.2% | 12.6% |
| 5%/5cap | 43.9% | 56.1% | 29.0% | 15.0% |
Source: ch04-rake.md §2, BB defense × rake. The 0% and 3% rows are identical — see §4.6 for why.
The numbers at 5% rake tell a clean story:
- Call% drops −10.2pp (39.2% → 29.0%). That is roughly one in four previous calls becoming a fold.
- Defense% drops −7.9pp (51.8% → 43.9%). BB now folds more than half the time.
- 3-bet% rises +2.4pp (12.6% → 15.0%). Some hands that were calls at 0% become 3-bets at 5%.
BB defense components at three rake levels (0%, 3%, 5%). Call% absorbs the largest drop; 3-bet% rises modestly.
Source: ch04-rake.md §2
Those marginal hands have two exits: fold (the dominant response) or 3-bet. The 3-bet resolves the hand preflop before the rake is triggered. If CO folds to the 3-bet, no flop is dealt and no rake is paid. So the 3-bet functions partly as a rake-avoidance play — hands that can't profitably call at 5% rake but have enough equity or blockers for a bluff-3-bet shift upward into the 3-bet bucket.
C-bet strategy polarizes by board texture
Rake doesn't just thin out BB's range — it changes how the opener plays the flop. And it does so in opposite directions depending on the board.
C-bet frequency across four board textures, by rake level (CO vs BB, SRP, 100bb):
| Rake | K72r | A94r | T98 | K94ss |
|---|---|---|---|---|
| 0%/0cap | 83.6% | 64.9% | 59.5% | 32.2% |
| 3%/3cap | 83.6% | 64.9% | 59.5% | 32.2% |
| 5%/5cap | 77.1% | 57.5% | 65.1% | 28.4% |
Source: ch04-rake.md §3, C-bet % across 4 textures
On dry boards, the direction is what you'd expect:
K72r: −6.5pp (83.6% → 77.1%)A94r: −7.4pp (64.9% → 57.5%)K94ss: −3.8pp (32.2% → 28.4%)
On the connected wet board, the direction reverses:
T98: +5.6pp (59.5% → 65.1%)
C-bet frequency at 0%, 3%, and 5% rake across three board textures. K72r and A94r drop at 5%; T98 rises — the directions diverge.
Source: ch04-rake.md §3
K72r and A94r, the opener's c-bet range at 0% rake includes some thin value hands — second pair, weak top pair — where the EV edge is small. At 5% rake, that thin edge disappears. The opener checks back those marginal hands and reserves the c-bet for hands with a cleaner value or bluff rationale.
The T98 rise is less intuitive but follows the same underlying logic. At 0% rake, the opener uses a mixed c-bet strategy on T98 — some hands bet, some check, and the mix includes speculative hands. At 5% rake, BB calls less on earlier streets (rake-suppressed), which means BB reaches the flop with a weaker calling threshold. The opener responds by c-betting more frequently, not less — a higher-frequency c-bet exploits the fact that BB is now folding more often on wet boards where BB would normally call wide.
The river reversal nobody predicted
Before this data was collected, the working prediction was straightforward: rake makes thin value bets less profitable, so river bet frequency should drop at 5% rake. The data says the opposite.
River spot: CO vs BB, Kd7s2h → 3d → 7c. SRP, CO to act.
| Rake | River bet% | Avg bet |
|---|---|---|
| 0%/0cap | 60.3% | 25.5bb |
| 3%/3cap | 60.3% | 25.5bb |
| 5%/5cap | 91.3% | 21.1bb |
Source: ch04-rake.md §4, River thin-value × rake
At 5% rake, river bet frequency jumps from 60.3% to 91.3% — a +31pp increase. Average bet size drops from 25.5bb to 21.1bb. The model bets more often but smaller.
This was a documented surprise. The pre-campaign prediction (river thin value drops with rake) was wrong in direction.
The sizing shift (25.5bb → 21.1bb) fits this interpretation. CO doesn't need to price out medium-strength hands that BB rarely holds at 5% rake. A smaller bet extracts thin value from the narrow range BB does bring to the river.
This mechanism is the leading interpretation but has not been fully confirmed at the per-hand level on this specific runout. (See Research notes for the current status of the per-combo investigation.)
The takeaway: at 5% rake, do not assume river thin value bets are less profitable. The model says bet more often, size slightly smaller. "Bet more, size less" on the river in high-rake games.
The 2%/2cap anomaly
One rake configuration in the sweep produces behavior that doesn't fit the pattern described above. At 2%/2cap rake, BB defense widens to 56.1% — above both 0% rake (51.8%) and 3% rake (51.8%). BB call% rises to 44.9%, c-bet on K72r rises to 88.7%, and river bet% drops to 35.7% — the lowest in the sweep.
These values are anomalous. Any positive rake rate should, in theory, reduce marginal call EV relative to 0% rake. The non-monotonicity between 0%, 2%, and 3% is unexpected and has been investigated but not resolved.
2%/2cap data is excluded from all theory claims in this chapter. The tables in §4.1–§4.4 include only 0%, 3%, and 5% rows for directional conclusions. The 2% row appears in the full data tables below for completeness but should not be cited as ground truth.
Full tables including the 2%/2cap row are in ch04-rake.md §§1–4.
A note on the 3%/3cap baseline
The Cash 1.1.0 baseline uses 3%/3cap rake. When the rake sweep queries 0%/0cap and 3%/3cap, both hit the same underlying model cache for 3%/3cap — the "0%" row uses separate rake parameters, while the "3%" row matches the stored Cash baseline. In most tables, the 0% and 3% rows show identical values.
This is expected behavior, not a measurement error. It means the 0% values and 3% values represent the same model state. The meaningful comparison is between 3% (the baseline) and 5% (the high-rake treatment). The 0% row is included for completeness and to confirm that the no-rake and baseline states produce identical outputs in the current cache structure.
What we didn't test in Ch 4
These gaps matter for coaches applying the findings above:
- Rake levels between 3% and 5% were not tested. The sensitivity threshold — the rake level at which BB defense begins to contract — could sit anywhere in the 3%–5% range. Do not assume the relationship is linear; the data only shows the endpoints.
- BTN and CO preflop response to high rake was not measured beyond VPIP. We know VPIP is flat (§4.1), but raise sizing, 3-bet frequency from non-BB positions, and position-specific adjustments beyond VPIP are not in the dataset.
- River dynamics on boards other than
K72r→3d→7cwere not tested at varying rake levels. The river reversal (§4.4) may be board-specific. Do not generalize the 91.3% river bet frequency to all runouts without further data. - Limped-pot rake dynamics were not tested. All c-bet and river data come from single-raised pots (CO open, BB defend). Limped pots — which occur at high ante levels — have different pot-size distributions and may interact with the rake cap differently.
Five practical adjustments
These are the adjustments for a player moving from a 3%/3cap game (the Cash baseline) to a 5%/5cap game:
- Your opening range stays the same. Rake does not affect preflop open frequency. VPIP varies less than 2pp across the entire 0–5% sweep. Do not tighten your opens because the rake is high.
- Tighten BB flat-calls by roughly 10pp. BB call% drops from 39.2% to 29.0% at 5% rake. Marginal calling hands — suited gappers, weak suited aces, dominated broadways — convert to folds or 3-bets. The flat-call range should be noticeably stronger than at 3% rake.
- Shift some BB calls to 3-bets. BB 3-bet% rises from 12.6% to 15.0%. Hands that can't profitably call at 5% rake but have enough equity or blockers for a bluff-3-bet should move upward. The 3-bet resolves the hand before the rake is triggered.
- C-bet dry boards less, wet boards more. On
K72r, c-bet drops from 83.6% to 77.1%. OnT98, c-bet rises from 59.5% to 65.1%. High rake polarizes your c-bet strategy by texture: check back marginal hands on dry boards; exploit BB's reduced willingness to continue on wet boards. - On the river, bet more often at a smaller size. The model bets the river 91.3% of the time at 5% rake (vs 60.3% at 3%) with an average bet of 21.1bb (vs 25.5bb). BB's river calling range is narrow after rake-suppression on earlier streets — smaller bets extract value efficiently from that narrow range.
Research notes
Details for readers interested in the methodology behind the findings above. Skip this section if you just want the practical takeaways.
- The 2%/2cap anomaly (MC-6a) is documented and excluded, not resolved. The 2%/2cap configuration consistently produces wider BB defense (56.1% vs 51.8% at 0%), more calling (44.9% vs 39.2%), and higher c-bet on K72r (88.7% vs 83.6%) than both bounding configurations. Per-combo data was captured in Batch 04e JSON, but the leading hypothesis — that the 2bb cap hits a specific pot-size distribution at a different effective rate than the 3bb cap — requires pot-distribution data from the server not currently available through the strategy_grid API. Until this is resolved, 2% datapoints are excluded from all directional conclusions. The 0%, 3%, and 5% rows form the basis for all claims.
- The river direction reversal (R-6 / M-10) is the leading interpretation, not a confirmed per-hand mechanism on this runout. The aggregate data is clear: river bet% rises from 60.3% to 91.3% at 5% rake while average bet drops from 25.5bb to 21.1bb. Per-combo investigation (Batch 04f) confirmed two simultaneous effects at the hand level: (1) medium value hands like 77 and KQs shift from large bets to smaller bets (77 moves from
bet38.2bbat 69.4% tobet25.5bbat 51.6%); (2) hands that checked at 0% rake (medium pairs, air) now bet at 5% rake because BB folds more often. Strong hands (K9s, K8s) are unchanged — they go all-in at both rake levels. The per-combo data supports the two-effect mechanism on theKd7s2h→3d→7crunout specifically. Generalization to other runouts has not been tested. MC-6b status: closed for this specific board; open for generalization.
Compound Transitions
The question this chapter answers
Chapters 1 through 4 changed one parameter at a time: ante, blind structure, table size, stack depth, rake. Real poker games change several at once. A "big game" at a high-stakes club means a straddle, a large ante, and usually deep stacks — all simultaneously.
This chapter reports five directly-tested cross-axis interactions. In each case we made a prediction, measured the compound effect, and compared it to the single-axis deltas. Two of the five predictions were wrong. One was only partially right. The misses are as instructive as the hits.
5.1 Ante × blind structure: why the straddle still matters at high ante
The single-axis findings from Chapters 1 and 2 point in opposite directions for the button. Ante widens BTN (more dead money to steal). The straddle narrows BTN (squeeze threat from the last-to-act straddle seat). The compound question: does a large enough ante overcome the straddle's restriction?
The prediction was that the 3-blind BTN at the highest ante should be the widest cell in the whole cross-tab. The prediction was partially wrong.
BTN VPIP across ante levels, 2-blind vs 3-blind:
| BTN 2-blind | BTN 3-blind | |
|---|---|---|
| ante = 0 bb | 43.3% | 28.9% |
| ante = 1.0 bb | 79.4% | 53.8% |
| ante = 2.0 bb | 96.4% | 74.7% |
| ante = 2.5 bb | 97.4% | 78.3% |
Source: ch05-transitions.md §X-1 (re-analysis of ch01 Batch 01a data)
The widest cell is BTN 2-blind at 2.5bb ante (97.4%), not the 3-blind cell. The straddle squeeze threat is not eliminated by dead money — it persists as a fixed discount on BTN's open-raise EV regardless of how much ante is in the pot. Even at 2.5bb ante, the 3-blind BTN (78.3%) trails the 2-blind BTN by roughly 19 percentage points.
The gap never closes. At every ante level in the table, 2-blind BTN is wider than 3-blind BTN by 14–22pp. The interaction is additive and subtractive, not multiplicative — ante provides a fixed widening increment while the straddle provides a fixed narrowing discount.
The other positions tell a different story. For UTG, MP, and CO, ante and the straddle both push VPIP upward. The straddle adds dead money (the forced 2bb post), and ante adds more dead money on top. These positions compound: UTG goes from 17.2% (standard baseline) to 44.5% at 2.5bb ante + 3-blind. That is a CO-level range coming from under the gun.
One practical consequence of the compound: at 2.5bb ante in a straddled game, 19.1% of BTN opens go all-in. The combination of the large ante pot and the straddle squeeze threat creates jam-or-fold dynamics at the button. There is no comfortable middle-ground sizing — either you are opening to near-jam levels to price out the straddle, or you are limping behind.
BTN VPIP at four ante levels: 2-blind (blue) vs 3-blind (orange). The gap between the two bars persists at every ante level.
Source: ch05-transitions.md §X-1
5.2 Depth × rake: the prediction that got reversed
The prediction here was intuitive: at 600bb, the fixed rake cap (5bb) represents a smaller fraction of the larger pots you build with deep stacks, so rake sensitivity should be smaller at 600bb than at 100bb.
The data says the opposite.
BB call% at 0% and 5% rake, by stack depth:
| 0% rake call% | 5% rake call% | Delta | |
|---|---|---|---|
| 100bb | 39.2% | 29.0% | −10.2pp |
| 600bb | 43.4% | 32.0% | −11.4pp |
Source: ch05-transitions.md §X-2 (Batch 05b)
The 600bb game shows more rake sensitivity (−11.4pp) than the 100bb game (−10.2pp). The prediction was rejected.
The practical consequence is that BB's flatting range at 600bb + 5% rake (32.0%) is tighter than at 100bb + 0% rake (39.2%). If you are transitioning from a standard-depth, low-rake game to a deep, high-rake game, your BB defense should contract — not expand as you might expect from "I have deeper stacks and better implied odds."
5.3 Table size × depth: a modest but real compound
The question: does BTN's depth premium (the VPIP widening from 100bb to 600bb) change with table size?
BTN VPIP by table size and stack depth:
| 100bb BTN VPIP | 600bb BTN VPIP | Delta (depth effect) | |
|---|---|---|---|
| 6-max | 43.3% | 49.2% | +5.9pp |
| 9-max | 49.8% | 57.3% | +7.5pp |
Source: ch05-transitions.md §X-3 (Batch 05c)
The finding is confirmed but the effect size is modest: 9-max BTN gets +7.5pp from going deep, vs +5.9pp at 6-max — a 1.6pp difference in the depth premium itself.
One important detail from the data: the 9-max min-raise sizing convention (BTN opens to 2.2bb) holds at both 100bb and 600bb. The implied-odds widening at 9-max does not translate into larger open sizes. The min-raise is sufficient at both depths because the prior-fold information already provides the fold equity BTN needs.
5.4 Ante × table size: the most dramatic interaction in the book
This is the cross-axis interaction that produces the most extreme numbers. The prediction was that ante would widen positions proportionally regardless of table size — that table size and ante operate on independent dimensions (prior-fold count vs dead money). The prediction was partially right on VPIP and dramatically wrong on raise sizing.
CO VPIP at 6-max vs 9-max, by ante level:
| Axis | 6-max CO VPIP | 9-max CO VPIP | Delta (larger table) |
|---|---|---|---|
| ante = 0 bb | 28.1% | 30.7% | +2.6pp |
| ante = 2 bb | 80.0% | 86.0% | +6.0pp |
Source: ch05-transitions.md §X-4 (Batch 05d)
At zero ante, the 9-max CO is only 2.6pp wider than the 6-max CO — a minor table-size effect. At 2bb ante, the gap more than doubles to 6.0pp. Ante amplifies the positional premium more at larger tables.
The raise-size story is even more striking:
BTN average raise size at 6-max vs 9-max, by ante level:
| Axis | 6-max BTN avg raise | 9-max BTN avg raise |
|---|---|---|
| ante = 0 bb | 4.8bb | 2.2bb |
| ante = 2 bb | 17.4bb | 60bb |
Source: ch05-transitions.md §X-4 (Batch 05d)
At 6-max, BTN raise size grows 3.6× when you add a 2bb ante (4.8bb → 17.4bb). At 9-max, the same ante produces a 27× increase (2.2bb → 60bb). That is the headline number from the entire cross-axis analysis: a 27-fold increase in average BTN open size when a 2bb ante is added to a 9-max table.
CO VPIP at 6-max (blue) vs 9-max (orange) at two ante levels. The gap between the bars widens from 2.6pp at 0bb ante to 6.0pp at 2bb ante.
Source: ch05-transitions.md §X-4
At 6-max with the same ante, only six antes contribute (12bb + 3bb = 15bb pot). The required fold-equity sizing is proportionally smaller. The multiplier difference — 27× at 9-max vs 3.6× at 6-max — reflects the fact that nine antes create a much larger pool than six antes, and the opener's sizing must scale with that pool.
CO VPIP at 9-max + 2bb ante (86%) is nearly identical to BTN at 6-max + 2bb ante (96%). The CO at a 9-max table with high ante benefits from both seven prior folds and the full ante pool — producing near-button-level widening from a position that is normally tight.
5.5 Rake × table size: 9-max is 36% more rake-sensitive
The prediction was that rake sensitivity should be roughly the same across table sizes — rake operates on individual hand EV, so the number of players at the table should not matter. The prediction was wrong.
BB call% at 6-max vs 9-max, at 0% and 5% rake:
| 0% rake call% | 5% rake call% | Delta | |
|---|---|---|---|
| 6-max BB (vs CO) | 39.2% | 29.0% | −10.2pp |
| 9-max BB (vs CO) | 38.6% | 24.7% | −13.9pp |
Source: ch05-transitions.md §X-5 (Batch 05e)
At 5% rake, 9-max BB drops 13.9pp compared to 10.2pp at 6-max. That is a 36% larger drop in absolute terms. Larger tables amplify rake sensitivity rather than being neutral to it.
Connection to §5.2 and §5.3: The three depth-related cross-axis findings create an interesting triangle at 9-max. From §5.3, going deep at 9-max adds +7.5pp to BTN VPIP. From this section, 5% rake subtracts 13.9pp from BB's calling range. The rake contraction at 9-max nearly doubles the depth premium, meaning the net BB calling shift at 9-max + 600bb + 5% rake is dominated by the rake effect, not the depth effect.
5.6 The cross-axis picture at a glance
Interaction summary across all five tested compound axes:
| Axes | Interaction type | Direction | Key finding |
|---|---|---|---|
| Ante × 3-blind (BTN) | Opposing | Ante ↑ VPIP; 3-blind ↓ VPIP | Additive not compound; 2-blind is always wider at high antes |
| Ante × 3-blind (UTG/MP/CO) | Compounding | Both ↑ VPIP | UTG goes 17.2% → 44.5% (2-blind) vs 20.0% → 44.5% (3-blind) at 2.5bb ante |
| Depth × rake | Slightly compounding | More depth → slightly more rake-sensitive | Prediction reversed: 600bb drop −11.4pp vs 100bb drop −10.2pp |
| Size × depth | Slightly compounding | 9-max shows larger depth premium than 6-max | Effect small (+1.6pp) |
| Ante × size | Amplifying | Larger tables amplify ante effect more | 9-max CO gap widens 2.6pp (0bb) → 6.0pp (2bb); BTN raise 27× at 9-max vs 3.6× at 6-max |
| Rake × size | Amplifying | Larger tables are more rake-sensitive | 9-max BB drop −13.9pp vs 6-max −10.2pp at 5% rake |
Source: ch05-transitions.md §Cross-axis interaction summary
Two patterns emerge from the summary:
1. Amplifying compounds dominate. Four of the six interaction rows show compounding or amplifying effects — meaning the combined environment shifts are larger than you would get by adding single-axis effects independently. The naive approach of "look up each axis separately and add the deltas" underestimates the real adjustment.
2. The one opposing interaction is position-specific. Ante and 3-blind only oppose each other at BTN. For every other position, they compound. This makes BTN the trickiest seat to adjust in a "big game" format — it is the only position where two common format features push in opposite directions.
5.7 Compound format takeaways
Real-world formats rarely shift one axis at a time. Here are three common compound setups and what the cross-axis data tells you about each.
"Big game" — high ante + straddle
This is the standard high-stakes live cash game setup: 2bb+ ante, 3-blind structure, typically 100bb effective stacks.
The combined effects produce a game that looks nothing like standard cash:
- UTG plays 44.5% VPIP. That is near-CO frequency in a standard 6-max game. Every early position is entering the pot.
- BTN plays 75–78% — wide, but constrained. BTN at the same ante in a 2-blind game would be 96–97%. The straddle holds it back by roughly 19pp even at the highest ante.
- BTN opens to near-jam sizes. Average raise is 19.6bb at 2.5bb ante + 3-blind. 19.1% of BTN opens are literal all-ins at 100bb effective.
- BB defends 92.7% at 2.5bb ante + 3-blind. BB rarely folds in this format. Blind steals are close to non-existent.
What to do: Widen all preflop opens except BTN. Expect near-jam sizing from BTN and CO. BB defends nearly everything. Post-flop is where value is realized — c-bet at maximum frequency on dry boards because the pot is already bloated by antes and your opponents entered with wide ranges.
Deep stack with high rake — 5% rake, 600bb
These two effects partially counteract each other, but rake wins.
From §5.2, BB call% at 600bb/5% rake drops to 32.0% — tighter than the 39.2% at 100bb/0% rake. The implied-odds widening you expect from deep stacks is outweighed by the rake tax on precisely those implied-odds hands.
- BB calling range is tighter than the standard 100bb/3% baseline. Roughly 32% calls vs 39.2% standard.
- BTN still widens with depth — approximately 49%+ VPIP at 600bb regardless of rake level.
- River play remains aggressive. 5% rake does not suppress river betting — it actually increases river bet frequency via call-suppression on earlier streets.
- Flop c-bet on dry boards is the most reduced metric. At 600bb alone, c-bet drops from 83.6% to 68.3% on
K72r. Adding 5% rake subtracts another ~6pp. Expect roughly 62% dry-board c-bet frequency in this combined environment.
What to do: Tighten BB flatting below standard. BTN widens. When you do reach the river, bet more often and size for a narrower calling range. On dry flops, check back more hands than you would at 100bb — the combined SPR and rake effects make thin c-bets unprofitable.
Short-handed + deep — 4-max, 300bb+
This is common in high-stakes online heads-up lobbies that expand to 3- or 4-handed play.
- UTG is effectively MP in a 6-max game. At 4-max, UTG opens 28% — the same as CO at 6-max. More range flexibility than at larger tables.
- BTN approaches 55%+ at 600bb deep. The depth premium on top of 4-max BTN's already-wide baseline (45.9% at 100bb) produces one of the widest opening ranges in the book.
- BB calls wide — close to HU-level defense at 4-max, widened further by implied odds at deep stacks.
- Post-flop is SPR-controlled. Flop bets are small relative to remaining stacks. Expect multi-street planning with delayed betting lines and river overbets at 300bb+.
What to do: Open wider from every position than at 6-max. Plan your post-flop lines for multiple streets — the stack depth makes flop commitment rare. Look for overbet opportunities on the river where polarized ranges can extract maximum value. Expect more 3-bet pots: wide preflop ranges at deep stacks make 3-betting profitable from every position.
What we didn't test in Ch 5
- Ante × rake. We tested ante and rake separately but not in the same batch. Whether high ante amplifies or dampens rake sensitivity is unknown. Do not assume the direction.
- Ante × depth. The interaction between dead-money widening and implied-odds widening was not directly tested. The two effects should compound (both widen), but the magnitude is unmeasured.
- 3-blind × depth. Whether the straddle squeeze threat behaves differently at 600bb than at 100bb is untested. At deep stacks, the squeeze sizing changes — this could alter the BTN restriction from §5.1.
- 3-blind × rake. Whether the straddle's dead money interacts with rake-driven call-suppression at BB is untested.
If you are coaching a player in a format that combines any of these untested pairs, note that the single-axis adjustments from Chapters 1–4 are the best available guidance — but the compound effect could be larger (amplifying) or smaller (opposing) than the sum of parts.
Five practical takeaways
- The straddle restriction on BTN does not vanish at high ante. Even at 2.5bb ante, 3-blind BTN (78.3%) trails 2-blind BTN (97.4%) by ~19pp. In a straddled high-ante game, keep BTN disciplined and widen early positions instead.
- Deep stacks make you more rake-sensitive, not less. At 600bb + 5% rake, BB's call% drops 11.4pp — larger than the 10.2pp at 100bb. The implied-odds hands that depth adds are exactly the hands rake destroys. Tighten BB flatting below standard at 600bb in high-rake games.
- 9-max amplifies everything. Both the ante effect and the rake effect are larger at 9-max than at 6-max. The opener's stronger range (after seven prior folds) pushes BB toward the breakeven margin where any tax — dead money for the opponent, rake for the house — hits hardest.
- The 27× BTN raise jump at 9-max + 2bb ante is the most extreme compound effect measured. From 2.2bb to 60bb average open. This is not a stylistic choice — it is the geometrically required sizing to deny the BB profitable pot odds against a 21bb pre-action pot.
- Four compound pairs (ante × rake, ante × depth, 3-blind × depth, 3-blind × rake) are untested. Apply single-axis adjustments from earlier chapters for these, but flag to your students that the true compound effect is unknown.
Research notes
Details for readers interested in the methodology behind the findings above. Skip this section if you just want the practical takeaways.
- §5.1 data provenance. The ante × blind structure cross-tab is a re-analysis of the ch01 Batch 01a data, not a new batch run. No additional solver queries were performed — the 2×4 BTN table was constructed by cross-referencing the ante-sweep and blind-structure rows from the same batch output. The UTG compound figure (17.2% → 44.5%) is sourced from the same Batch 01a runs.
- §5.2 and §5.3 batches. The depth × rake interaction (§5.2) came from dedicated Batch 05b. The table size × depth interaction (§5.3) came from Batch 05c. Both batches ran the same model checkpoint as Chapters 1–4.
- §5.4 and §5.5 batch provenance. The ante × table size interaction (§5.4, Batch 05d) and the rake × table size interaction (§5.5, Batch 05e) were added after the initial ch01–ch05 design, which is why the total batch count for the book grew to 36. These batches were motivated by the unexpected §5.2 reversal — once we saw that depth amplified rake sensitivity (contradicting the prediction), we tested whether table size also amplified it. Batch 05e confirmed that it does.
- The 60bb BTN avg raise at 9-max + 2bb ante is a direct output from Batch 05d — ch05-transitions.md §X-4. The "approximately 3× pot" interpretation (60bb raise into a 21bb pot = 2.86× pot) is based on general poker theory applied to the dead-money arithmetic (9 × 2bb + 1bb SB + 2bb BB = 21bb), which is a standard pot-size calculation from the source-stated ante and blind values.
- M-11 mechanism label (from hypotheses-and-mechanisms.md) covers the §5.4 finding. M-12 covers §5.5. The mechanisms are: dead-money concentration per entrant at larger tables (M-11), and prior-fold-filtered opener range pushing BB toward the rake-sensitive breakeven boundary (M-12). Neither mechanism is novel — both are applications of the single-axis mechanisms (M-1 dead-money pull, M-8 call-suppression) to the compound environment.
- 2%/2cap rake excluded. All rake comparisons in this chapter use 0% and 5% rows only. The 2%/2cap configuration shows anomalous values (documented as MC-6a in the source files) and is excluded from all theory claims. See the Ch 4 Research notes for the full anomaly description.
Further reading
The format-transitions findings are grounded in foundational GTO theory about pot geometry, stack-to-pot ratio, dead money, and rake effects. None of our specific numbers come from these works — they come from our own solver measurements — but the concepts are built on the theoretical foundations these authors established.
Modern GTO treatment of No-Limit Hold'em
- Matthew Janda, Applications of No-Limit Hold'em (Two Plus Two Publishing, 2013) — range construction, sizing frameworks, and multi-street planning. The foundational book on parametric GTO analysis that the format-transition deltas build on.
- Ed Miller, Poker's 1% (Noted Poker Authority, 2014) — accessible treatment of bet-sizing and fold-equity principles that generalize across formats and stack depths.
Foundational poker mathematics
- Bill Chen & Jerrod Ankenman, The Mathematics of Poker (ConJelCo, 2006) — foundational treatment of pot geometry, MDF math, and the indifference principle. Essential background for the rake and stack-depth chapters.
- David Sklansky, The Theory of Poker (Two Plus Two Publishing, 1999) — the Fundamental Theorem and pot-odds framework that underlies the call-suppression and dead-money mechanisms.
AI and poker — peer-reviewed research
- Noam Brown & Tuomas Sandholm, "Superhuman AI for multiplayer poker," Science Vol. 365 (2019) — Pluribus. The closest published analogue to the parametric training regime that produced the format-transition responses this book measures.