Verified Theory · Book 2 · v1.2.2

Squid Classic
the first strategy manual

One rule change to 6-max No-Limit Hold'em produces 10 mechanisms that rewrite strategy from preflop to river — every finding derived from 2,549 solver queries and grounded in the literal game rules.

10 mechanisms identified · 8 primary-explanation confirmed · 2 confirmed with open alternative · cross-checkpoint stable
About this book

What happens when folding costs you more than chips

Squid Classic is standard 6-max No-Limit Hold'em with one rule change: at the end of the game, the only player who never won a main pot pays a penalty. That penalty — (N − 1) × val big blinds, so 15 BB at val=3 in 6-max — is enough to rewrite preflop ranges, flip established c-bet theory on specific board textures, and introduce limping as a genuine equilibrium strategy. Every number in this book comes from our own solver, queried across 2,549 configurations at five trained penalty levels.

The research identifies 10 named mechanisms that explain how the penalty cascades through the game tree. Eight carry a "primary explanation confirmed" verdict — meaning at least two alternative causal stories were tested and contradicted. Two carry "confirmed with one open alternative." All 10 are cross-checkpoint stable. The strategy manual is organized street by street: preflop widening and limping, BB defense, flop c-bet by texture, later-street dynamics, hero-last desperation, and 3-bet pots. A further-reading list at the end points to the foundational poker theory these findings build on.

The val parameter controls penalty magnitude. The model was trained at five discrete values: 1, 2, 3, 5, and 10 big blinds. At val=3 in 6-max, the game-end loser pays 15 BB; at val=10, 50 BB. Any other val is out-of-distribution. Cash (standard NLHE with no penalty) is the baseline — there is no valid "val=0" measurement.

Methodology

Every finding was produced by querying a single converged model (universal-dense-v4-player_20260402_150328.onnx) trained on the literal Squid Classic rules. The model's outputs were verified against a 55-property consistency suite covering policy, frequency, and structural invariants. All 10 mechanisms are tagged cross-checkpoint stable based on confirmation from the training team that the production pipeline produces stable policies for this format.

When a sentence explains why a pattern exists — appealing to poker-theory concepts like fold equity, nut advantage, or range composition rather than quoting a solver output directly — it is prefixed with "Based on general poker theory". This marker tells you the reasoning is grounded in widely accepted poker concepts, not a direct solver measurement. Every unmarked sentence is either a direct data observation or a rule of the game.

The research map

How the squid-equity term cascades into everything else

Preflop · The core effect

Squid equity maximization

Every position opens wider as val grows. CO VPIP scales from 28.1% in Cash to 42.9% at val=3 to 76.4% at val=10. The position gradient is preserved and amplified — UTG adds +8.4pp at val=3 while BTN adds +23.8pp and SB saturates near 100%. When hero already holds a squid, VPIP collapses back toward Cash.

Preflop · The entry mode

Limping as fold-equity-weighted pot entry

Limping returns as a legitimate strategy. At val=3, BTN limps 30.2% and SB limps 98.3%. At val=10, CO limps 75.5% of entered hands. Limping vanishes when hero already holds a squid and inverts under hero-last desperation, where raise fraction reaches approximately 97%.

Flop · Dry and paired boards

Fold equity amplification

BB's wider Squid defense range is 82% offsuit junk. On boards where that junk has no equity, CO's c-bet gains large fold equity. K72r rises from 83.6% to 98.1%, A94r from 64.9% to 98.4%, and KK5 from 79.3% to 97.6% at val=3. Bet sizes grow on 11 of 12 tested boards.

Flop · The three-board exception

Range advantage reversal

On 654, 765, and 876r in single-raised pots, CO c-bets less in Squid than in Cash. BB's added low connectors hit these boards hard, flipping range advantage to BB. The effect is negative at every tested val. In 3-bet pots the reversal disappears — 765 goes from one of CO's worst boards in SRP to one of the best in 3BP.

Flop · Monotone boards

Monotone non-flush fold equity

Monotone boards show the largest positive c-bet deltas in the dataset. K94ss rises from 32.2% to 86.9% at val=3 — a +54.7pp delta. BB's added hands on monotone boards are 82–87% offsuit junk with no flush potential. The flush-draw protection intuition is wrong for the range BB is actually defending with.

All streets · Per-seat awareness

State-dependent range adaptation

The solver reads each opponent's squid state. Hero widens from 42.9% VPIP (fresh) to 88.8% (hero-last) as more opponents become safe. Hero tightens from 21.4% to 12.9% when holding a squid as no-squid opponent count rises from 1 to 3. BB adjusts defense by −14.7pp and 3-bets by −23.9pp against a squid-holding opener.

Turn and river · Range filter

Wider range weakens later streets

Despite wider flop c-bets, turn barrel rate drops — K72r blank turn goes from 58.2% in Cash to 49.0% at val=3. Delayed c-bet rises instead: K72r blank turn after a flop check goes from 65.9% to 82.7%. BB probe rate falls 2–8pp. Limped-pot postflop aggression drops 14–20pp.

Hero-last · Forced-win mode

Desperation polarization

When hero is the only player without a squid, strategy polarizes to near-pure raising. Hero-last VPIP is 88.8% with only 2.4% limps. At val=3, the raise-vs-limp threshold sits between pocket 88 (74.9% raise) and pocket 77 (27.0% raise).

Turn · After IP check-back

Passive signal weakening

An in-position check-back is a weaker signal of weakness in Squid. BB probe rate on K72r after CO checks drops from 35.4% in Cash to 27.6% at val=3. The delta is 3.7 times larger against CO than against BTN, consistent with CO's wider c-bet range making its check-back less informative.

Flop · Facing check-raise

Aggression signal collapse

Facing a check-raise on K72r, CO folds 50.7% in Squid val=3 versus 31.5% in Cash — a +19.2pp increase. Re-raise frequency collapses from 42.5% to 5.6%. CO's wider c-bet range includes bluffs that fold to aggression, and the value portion gets more cautious against BB's committed range.

Part 1

What Is Squid Classic

One rule change turns standard poker strategy inside out.

Squid Classic is 6-max No-Limit Hold'em — standard blinds, 100bb stacks, everything you already know — with a single addition: the winner of each main pot collects a "squid," a win token. Each player can hold at most one. The game ends when 5 of the 6 players have each won at least one main pot. The remaining player — the only one still holding zero squids — is the loser.

The loser pays (N − 1) × val big blinds. In 6-max that's 5 × val. The five squid-holders each receive val BB. The val parameter controls how much the penalty hurts. The model was trained on five settings: val = 1, 2, 3, 5, and 10 BB. At val = 3, the loser pays 15 BB and each holder collects 3 BB. At val = 10, the loser pays 50 BB.

That's the entire rule change.

No new cards. No altered betting structure. No side pots. One binary token, awarded for winning a main pot, and a single lump-sum penalty at game end.

Two terms you need before anything else

The rest of this flagship uses two state labels constantly:

These labels follow directly from the win-token rule. Holding a squid makes you safe; not holding one keeps you at risk. Every strategic shift in this document traces back to which players are safe, which are desperate, and how that changes the math.

Why this rule reshapes everything

In Cash, every hand is independent. You open 8♠7♠ on the button because its chip EV is positive given your position and your opponents' ranges. Nothing about the last hand or the next hand enters the calculation.

In Squid Classic, every hand carries a second dimension of value: the change in your squid equity — the probability-weighted shift in your risk of being the game-end loser. Win a pot, gain a squid, become safe. Don't win, stay exposed.

That second term layers directly on top of standard chip EV. And it changes what's profitable.

Take 8♠7♠ on the button at val = 3. In Cash, you open it when the chip EV of entering is positive and fold it when it isn't. In Squid, the calculation adds: "if I fold, I forgo a chance to win a squid this hand. If I enter and win, my penalty risk drops to zero." That squid-equity term can be large enough to flip a chip-negative hand to overall positive. The hand enters your opening range that would have been a fold in Cash.

Multiply that across every hand, every position, every street, and you get the six consequences that define Squid Classic strategy:

What "compounds" and what doesn't

A common misreading of Squid Classic: "every time you fold, the penalty grows." That's wrong.

In Classic mode, squid is binary — you have 0 or 1. Folding a hand doesn't add to your penalty. Folding a second hand doesn't add more. The penalty is a single fixed payment at game end: 5 × val BB, applied once, to whoever ends the game with zero squids. There is no per-fold cost and no accumulation.

What does change hand by hand is the probability that you end up as the loser. Each hand where you don't win a pot is a hand where your opponents might win one, bringing the game closer to ending — potentially with you still at zero. The pressure isn't that folding costs you chips now; it's that folding costs you a chance to become safe before time runs out.

This distinction matters for how you think about marginal hands. You're not paying a tax every time you fold. You're forgoing an opportunity every time you don't enter. The math is different: one implies you should avoid folding at all costs; the other implies you should enter pots when the combined chip + squid equity is positive, and fold when it isn't.

A word on the label "desperate"

"Desperate" sounds dramatic, and it's meant to. A player with zero squids at a table where four opponents are already safe is in genuine strategic trouble. They need to win a pot before the fifth opponent does, and four of their five opponents can afford to fold marginal spots — which means fold equity is available, but the clock is ticking.

We use "desperate" throughout this flagship for any zero-squid player. It applies equally to a player in the opening hand (everyone starts desperate) and to the last remaining zero-squid player in a late-game state. The degree of desperation scales with how many opponents are already safe — more safe opponents means more fold equity available but less time remaining.

The opposite label, "safe," is equally literal. A squid-holder's penalty risk is zero. Their squid-equity term vanishes. They can afford to play tight, wait for good spots, and let the desperate players fight each other. In the data, safe players at the CO position drop as low as 12.9% VPIP when facing three desperate opponents — tighter than Cash's 28.1%.

Where the rules come from

Every rule described in this section traces to the Squid Classic ground-truth rules document, which was built directly from the game's implementation code and reconciled against all prior research artifacts. When any strategic claim in this flagship conflicts with the rules document, the rules document wins.

Source: GAME-RULES.md — Squid Classic literal rules, ground-truth reference

Part 2

Preflop

Every position widens. The gradient amplifies.

The headline preflop finding is blunt: every position opens wider in Squid Classic than in Cash, at every trained val level, with no exceptions.

Here is the full position × val VPIP table.

Preflop VPIP by position and val. Same model, same 6-max 100bb stacks — only the Squid penalty magnitude changes.

PositionCashval=1val=3val=10
UTG17.2%18.5%25.6%50.6%
MP22.9%21.8%29.2%55.2%
CO28.1%31.5%42.9%76.4%
BTN43.3%47.0%67.1%89.3%
SB57.9%85.8%99.6%100.0%

Source: squid-deltas.md Table 1, lines 62–70.

Preflop VPIP by position across Cash, val=1, val=3, and val=10. Grouped bar chart — one cluster per position, one bar per val level.

Bar chart showing preflop VPIP rising at every position from Cash through val=10, with the steepest gains at SB and BTN.

Source: squid-deltas.md Table 1, lines 62–70.

The position gradient — UTG tightest, SB widest — is preserved in Squid and amplified. Cash has a 40.7pp spread from UTG (17.2%) to SB (57.9%). At val=3 the spread grows to 74.0pp (25.6% to 99.6%). The late positions gain more because they already had the highest pot-winning edge in Cash: adding the squid-equity term to an already-favorable starting point pushes them further than adding it to a tight early-position baseline.

The Cash→val=3 deltas tell the story cleanly:

SB is the extreme case. It was already wide in Cash (57.9% — the pot-odds advantage of completing the small blind) and saturates near 100% by val=3. At val=5 it hits literal 100%. The button plays two out of every three hands at val=3. UTG only adds 8pp — because UTG was already tight and the marginal hands it could add are the weakest hands in a 6-max opening range, where multiway pots and positional disadvantage limit the squid-equity upside.

Based on general poker theory The widening reflects the additive nature of the reward. In Squid, every hand has two components of expected value — the standard chip EV and a forward-looking "squid equity" component representing the reduction in your risk of being the game-end loser. Hands that are slightly chip-negative can become overall positive once the squid-equity term is added. As the penalty grows (higher val), that squid-equity term grows linearly, expanding the profitable-entry zone.

Limping comes back, strongest at SB

In Cash NLHE, solvers don't limp. It's strictly dominated by raising or folding. In Squid Classic, limping returns as a legitimate equilibrium action — and for SB it becomes the dominant one.

Preflop limp frequency by position. Cash limp is 0.0% at every non-SB position.

PositionCash limpval=3 limpval=10 limp
UTG0.0%2.6%
MP0.0%4.6%
CO0.0%15.5%75.5%
BTN0.0%30.2%
SB31.5%98.3%99.3%

Source: squid-deltas.md lines 315–319, 787. UTG/MP/BTN val=10 limp % not in source.

SB limps 98.3% of the time at val=3 — raising is vanishingly rare. BTN limps 30.2%. CO limps 15.5%. The gradient tracks position: wider positions have more marginal hands in the "too weak to raise but too valuable to fold" zone, and that zone is where limping is optimal.

At val=10, CO limp rises to 75.5%. At that penalty level, 99% of CO's entered hands are limps.

Based on general poker theory The decision between limping and raising is weighted by fold equity. Limping costs fewer chips (1 BB to complete) while preserving the same chance of winning a squid as raising. For marginal hands where the extra 1.5 BB of a raise buys diminishing fold equity — especially against a BB defending nearly every hand — limping is the higher-EV entry.

SB is the extreme because it has the smallest entry cost (0.5 BB to complete) and the worst fold-equity situation (BB has the best possible pot odds to defend). Limping maximizes more than any other position.

One critical detail: when hero already holds a squid, the limping rate drops to near zero. Hero has no squid-equity incentive to enter marginal pots cheaply — only chip EV matters, and in chip-EV terms limping is dominated just as it is in Cash. When hero is the last player without a squid ("hero-last"), limping drops to 2.4% despite 88.8% VPIP. Hero-last needs to win pots, not enter them cheaply — raising generates the fold equity a desperate hero needs.

The rule of thumb If you see a BTN limp in Squid, don't assume it's a weak player. It's the equilibrium strategy for the middle of their range.

When hero is safe, ranges tighten toward Cash

Here is what happens when the widening incentive disappears. A hero who already holds a squid is safe from being the game-end loser. The squid-equity component of entering pots drops to zero — hero's range collapses back toward Cash.

At val=3 with all five opponents also holding squids, hero's CO VPIP is 26.7% — within 1.4pp of the Cash baseline 28.1%.

This specific measurement is directionally supportive, not a clean experimental control — see the Research notes at the end of this part for why.

The rule of thumb If you've already won a squid, play closer to Cash than you would fresh. The squid-equity term that pushed you to play wide is gone.

State dynamics: desperate opponents vs safe opponents

"Desperate" in Squid Classic means no-squid — you're the player at risk of being the game-end loser. "Safe" means has squid. These labels are grounded in the literal game rules, not intuition. A squid is a win token. Holding one means you're safe.

The model reads each opponent's squid state as a per-seat feature and adapts hero's range accordingly. Two tables tell the story.

Table A — Hero is desperate (no squid), CO, val=3:

Opponents with squids (safe)Hero VPIP
0 (fresh table — nobody has a squid)42.9%
156.0%
274.9%
3+ (hero-last — hero is the only one without)88.8%

Source: squid-deltas.md lines 150–160.

Table B — Hero is safe (has squid), CO, val=3:

Opponents without squids (desperate)Hero VPIPReachable in Classic?
026.7%No (max 5 squids in 6-max)
121.4%Edge case (game-end)
217.2%Yes
312.9%Yes

Source: squid-deltas.md lines 379–384. The "0 desperate opponents" row requires 6 total squids — exceeding Classic's 5-squid maximum — and is a non-physical state. See Research notes.

Hero CO VPIP by state at val=3. Left cluster: hero desperate, varying number of safe opponents. Right cluster: hero safe, varying number of desperate opponents.

Bar chart showing hero VPIP from 12.9% (safe hero facing 3 desperate opponents) to 88.8% (desperate hero facing 3+ safe opponents) — a 75.9pp spread driven entirely by state.

Source: squid-deltas.md lines 150–160 (Table A), 379–384 (Table B).

The spread is striking: 12.9% to 88.8% — a 75.9pp range — from the same position at the same val. The only variable is who has squids.

The logic is fold equity. Safe opponents can afford to fold — they have no squid-equity incentive to defend marginal hands. Desperate opponents cannot afford to fold — they need to win pots. So hero's aggression is profitable to the extent opponents will fold to it:

BB reads the opener's state too

The per-seat squid awareness runs both ways. BB adjusts defense based on whether the opener has a squid.

BB defense vs CO open at 2.5bb, val=3:

CO stateBB defenseBB 3-bet
Fresh (no squid)95.8%30.2%
Has squid (safe)81.1%6.3%
Delta−14.7pp−23.9pp

Source: squid-deltas.md lines 328–331.

BB recognizes that a squid-holding CO is already safe. A safe CO has no squid-equity pressure to open marginal hands — their opening range is stronger, closer to their Cash baseline. BB correctly tightens against that stronger range.

The 3-bet drop (−23.9pp) is larger than the defense drop (−14.7pp).

Based on general poker theory 3-betting the wider (fresh) range was a profitable exploit because fresh CO's range is full of marginal hands that can't withstand a 3-bet. Against a tighter (safe-CO) range, 3-betting loses fold equity and runs into more value. The exploit collapses, so 3-bet frequency drops more sharply than overall defense.

The three findings at a glance

Squid Classic preflop strategy comes down to three forces:

  1. Every hand is a chance to win a squid, which widens preflop ranges. The wider your position, the more the widening amplifies. SB saturates near 100% by val=3.
  2. Limping is the minimum-cost way to enter a pot and chase a squid. It returns as a legitimate equilibrium action — 30% from BTN, 98% from SB at val=3.
  3. State determines everything. A hero who already holds a squid plays tighter than Cash. A hero facing safe opponents plays wider than fresh. The 75.9pp spread between the tightest and widest state-dependent VPIP values is larger than any other single variable in the preflop dataset.

The val parameter is a dial, not a switch

To see how smoothly the penalty scales, look at CO VPIP across all six trained val levels.

CO preflop VPIP across every trained val level. The widening is monotonic — no jumps, no discontinuities.

Val levelCO VPIP
Cash28.1%
val=131.5%
val=234.3%
val=342.9%
val=556.1%
val=1076.4%

Source: squid-deltas.md Table 1, lines 62–70.

CO VPIP across all six trained val levels. Line chart showing monotonic increase from Cash (28.1%) through val=10 (76.4%).

Line chart showing CO VPIP rising monotonically from 28.1% at Cash to 76.4% at val=10, with no discontinuities.

Source: squid-deltas.md Table 1, lines 62–70.

Every step from Cash to val=10 increases VPIP. The model does not have a "switch to Squid" discontinuity at val=1 — the widening is continuous and accelerating. At val=3 (the standard Squid setting), CO is already 14.8pp wider than Cash. At val=10 the opening range has nearly tripled.

The same monotonic pattern holds at every position.

What we didn't test in Part 2

  • MP postflop data is missing. The research has preflop data for all five positions but postflop testing was concentrated on CO. If you're applying these preflop findings to MP postflop decisions, you're extrapolating beyond what the solver data covers.
  • Limped-pot postflop is a zero-data region. The limping findings are robust preflop, but deeper post-limp dynamics (multi-street lines, hand-level breakdowns) are largely absent. Don't assume the postflop implications of limping have been characterized.
  • Multiway coverage is almost nonexistent. Multiway c-bets were tested at val=3 only. Scaling with val in multiway pots is unknown. The preflop widening numbers here are heads-up-implied — applying them to multiway scenarios requires caution.

The five practical preflop takeaways

  1. Expect wider ranges at every position. At val=3, roughly add +8pp for UTG/MP, +15pp for CO, +24pp for BTN, and saturate SB near 100%.
  2. Limping is not a leak. When you see BTN limp 30% or SB limp 98%, that's equilibrium. Counter by raising from BB with a wider 3-bet range to punish the limped ranges.
  3. If you hold a squid, play closer to Cash. The tightness is stronger when more opponents are desperate (no-squid) — they don't fold, so your fold equity evaporates.
  4. Count the squids before every decision. Ask: "Am I safe? How many safe opponents do I face?" The answers determine whether you widen or tighten — and by how much.
  5. Adjust BB defense based on the opener's squid state. A squid-holding opener has a stronger range than a fresh one. Tighten your 3-bets against a squid-holder; widen them against a fresh opener.

Research notes

Details for readers interested in the methodology behind the findings above. Skip this section if you just want the practical takeaways.

  • The 26.7% "hero-has at 0 desperate opponents" measurement is a non-physical game state. This measurement sets hero's squid count to 1 and all five opponents' squid counts to 1, producing 6 total squids in a Classic mode game that caps at 5 (T = N − 1 = 5 in 6-max). The server did not reject the out-of-distribution configuration, so the 26.7% number is a real model output — but the state cannot occur in actual play. The measurement is consistent with the rules-derived prediction that a safe hero's squid-equity delta from winning a pot is zero (binary cap), so hero plays near-Cash. But it is corroborative evidence, not a clean experimental control. The load-bearing support for the "safe hero tightens" finding is the legal hero-has rows (1/2/3 no-squid opponents at 21.4%/17.2%/12.9%), which are physically reachable and reproduce on the current checkpoint.
  • Limping at val=10 is driven by fold-equity saturation, not purely low-cost entry. At val=10, BB defends 100% against nearly every raise size. Raising generates essentially zero fold equity. AA limps 95.2% at val=10; every strong hand (KK, QQ, AKs, TT) limps >95%. If limping were only about marginal hands entering cheaply, AA should still raise. The fact that AA limps confirms fold-equity collapse is the dominant driver at extreme val. The transition from "strong hands raise, marginals limp" (val=3) to "everything limps" (val=10) is smooth and continuous — AA's raise trajectory across val levels is 100% → 97.9% → 83.8% → 65.1% → 38.8% → 4.8%. This is a single mechanism (fold-equity-weighted limp vs raise) with two limits, not a regime switch. At moderate val the "low-cost pot entry" framing describes the mechanism accurately; at extreme val the same mechanism manifests as fold-equity saturation. Cite the unified mechanism, not two separate stories.
  • The game-phase alternative hypothesis for state-dependent tightening (OQ4). Two explanations can fit the hero-has tightening data equally well under different label pairings. Story A ("fold equity"): more desperate opponents means less fold equity for hero, so hero tightens. Story B ("game phase"): more squids distributed means the game is closer to ending, so a safe hero has less marginal upside and plays conservatively. Both match the data direction when paired with their matching label convention. The CUDA rules break the tie: "desperate" must mean "no-squid" (the at-risk player), which confirms Story A and contradicts Story B under the literal-rules label. However, this does not rule out that the model also learned a game-phase component on top of fold equity — both effects are consistent under the corrected label. A clean controlled test would hold total-squid-count constant while varying the no-squid opponent count (or vice versa). That test is not in the current dataset. The practical takeaway is unchanged: count opponents' squids and adjust accordingly.
Part 3

BB Defense

3.1 — BB defends almost every hand

BB's defense expansion is one of the largest strategy shifts in Squid Classic. In Cash, BB defends about half of hands against a CO open. In Squid at val=3, BB defends 95.8%. At val=10, the number rounds up to 100%.

Here is the full picture across four opener positions and six val levels.

BB defense rate vs 2.5bb opens, by opener position and val.

OpenerCashv1v2v3v5v10
vs UTG36.5%60.2%73.6%84.6%95.9%99.7%
vs MP41.9%81.2%90.4%
vs CO51.8%81.4%90.0%95.8%99.4%100.0%
vs BTN60.4%86.9%92.6%96.9%99.6%100.0%

Source: squid-deltas.md Table 2, line 78.

BB defense rate vs 2.5bb opens across four opener positions and six val levels.

Bar chart showing BB defense rate climbing from 36–60% in Cash to 84–97% at val=3 and 99–100% at val=10, across all opener positions.

Source: squid-deltas.md Table 2, line 78.

Two things jump off this table:

  1. The Cash→v1 step is massive. Against CO, BB goes from 51.8% to 81.4% — a +29.6pp jump just by switching from Cash to the minimum trained Squid value. This is the single biggest "switch to Squid" effect for BB defense.
  2. Val-scaling is smooth and monotonic. Every row climbs steadily from v1 through v10 and saturates near 100% by val=5 or val=10.

Even against UTG — the tightest opener, with the strongest average hand — BB defends 84.6% at val=3. Against BTN at val=3 it's 96.9%.

Why it's that extreme. BB faces the same squid-equity math as an opener. Folding a hand doesn't just forfeit the chips already posted — it forfeits the chance to win this pot and collect a squid. In Squid Classic, each pot-winner gets a squid token, and the only player who ends the game with zero squids pays the penalty. Every fold extends the window in which BB might end up as that player.

BB also has a structural advantage that amplifies the effect: BB already has the best pot odds at the table. The chip cost of continuing is the smallest relative to what's in the middle, so the squid-equity term doesn't need to be large before marginal hands cross the defend-or-fold threshold. Once val hits 3, nearly every combination has a positive expected value when you add the chip and squid components together.

Actionable: In Squid Classic at val=3, defend almost everything from the BB against a standard 2.5bb open. At val=5 and above, defend literally every hand. The 51.8% Cash defense rate is the wrong anchor — 95.8% is the Squid anchor.

3.2 — What BB adds is offsuit junk

The headline number (95.8% defense) is dramatic. The compositional finding underneath it is what makes the rest of the Squid strategy click.

When BB's range widens from Cash to Squid, the new hands are not suited connectors, not suited broadway, not medium pairs. 82% of the hands BB adds at v1 are offsuit junk. By v3, that share rises to 88%.

Here is the full 9-category breakdown, measured in combos (out of 1,326 total).

BB defense composition by hand category — BB vs CO 2.5bb open.

CategoryTotal combosCash defv1 defv3 defv10 def
Premium (AA–JJ, AKs/o, AQs)4444444444
Strong (TT–88, AQo, AJs, KQs)3838383838
Medium pair (77–22)3636363636
Suited Ax (A9s–A2s)3636363636
Suited broadway3636363636
Suited connector5650565656
Suited junk16886160168168
Offsuit broadway9696969696
Offsuit junk816102463730815

Source: squid-deltas.md Table 9, lines 434–451.

The top six categories — premium through suited connector — are already at their maximum in Cash. There is nothing to add. BB was already defending every AA, every 88, every A5s, every KQs. Those categories don't grow at all from Cash to v10.

What grows is the bottom of the range.

Cash→v1 growth decomposition:

Cash→v3 growth decomposition:

At val=10, BB is defending 815 of 816 possible offsuit junk combos. Essentially every K4o, J6o, T3o, 72o — the entire bottom of the deck — is a defend.

The cross-position sanity check (BB vs BTN 2.5bb open) confirms the same pattern. Cash→v1 against BTN: +422 combos added, of which offsuit junk accounts for +365 (86.5%), suited junk +53 (12.6%), suited connectors +4 (0.9%).

Based on general poker theory This compositional finding is why the rest of Squid's flop strategy looks the way it does. On boards where offsuit junk has no equity — dry rainbow, paired, A-high, monotone — CO's c-bet finds these added hands in an unimprovable state. They fold. CO's fold equity on the flop is enormous because a huge share of BB's range is junk that cannot connect. On mid-connected boards (654, 765, 876r), the story is different: BB's added connectors and small pairs actually hit those boards hard, flipping range advantage to BB. The compositional split between "junk that misses" and "junk that hits" is the dividing line between the boards where CO c-bets more in Squid and the boards where CO c-bets less.

Actionable: Defending 95% of hands from the BB is correct. Hands like K4o, J6o, and low offsuit gappers that in Cash would be automatic folds become mandatory calls in Squid at val=3. Don't second-guess wide defense — the squid-equity math is what makes it profitable.

3.3 — BB overdefends MDF

One of the cleanest Cash theory reversals in Squid.

Minimum defense frequency (MDF) is the chip-EV floor for how often you need to call to prevent your opponent's bluffs from being automatically profitable. Against a raise of size R into a pot of size P, MDF says you should defend at least P / (P + R) of your range. Below that threshold, your opponent profits from bluffing any two cards.

In Cash, BB systematically underdefends MDF by 7–13pp. This is the well-documented "BB overfolds" finding from standard solver analysis. In Squid v3, the direction flips completely — BB overdefends MDF by 39–44pp.

BB defense vs MDF: Cash underdefense vs Squid v3 overdefense.

Raise sizeBB defense (Cash)BB defense (v3)MDF theoreticalCash deviationv3 deviation
2.0bb53.0%99.2%60.0%−7.0pp+39.2pp
2.5bb39.6%93.5%50.0%−10.4pp+43.5pp
3.0bb30.0%84.6%42.9%−12.8pp+41.8pp
4.0bb22.9%33.3%−10.4pp
5.0bb15.2%27.3%−12.1pp

Source: squid-deltas.md Table 18, lines 682–695.

MDF deviation at three raise sizes: Cash (underdefense, negative bars) vs Squid v3 (overdefense, positive bars).

Grouped bar chart. Cash bars (negative) range from −7.0pp to −12.8pp below MDF. Squid v3 bars (positive) range from +39.2pp to +43.5pp above MDF. The direction of deviation flips completely between Cash and Squid.

Source: squid-deltas.md Table 18, lines 682–695.

At every tested raise size, the MDF deviation sign flips. Cash BB folds too much; Squid BB calls far too much by MDF's standard.

Based on general poker theory The MDF formula is a pure chip-EV calculation. It assumes that the only cost of folding is forfeiting your share of the pot. In Squid, folding carries an additional forward-looking cost — you forgo the chance to win this hand and collect a squid. That added cost raises the break-even threshold well above MDF. At the same time, the opener's range in Squid is wider than in Cash (every position opens more hands to chase squid equity), which means the opener has more bluff-candidate hands in range. Both factors push BB's correct defense rate above MDF: the fold-cost is higher AND the opponent's range is weaker.

The MDF formula was never designed for a game with a second axis of value beyond chips. In Squid, it undershoots correct defense at every raise size.

The position-dependent caveat: Cash "BB overfolds" is actually narrow-opener-only

The "BB overfolds MDF in Cash" finding is real — but it's not universal. It depends on who opened.

BB defense vs SB open at 2.5bb — a wide opener.

ValBB defenseMDF theoreticalDeviation
Cash70.9%50.0%+20.9pp
v188.0%50.0%+38.0pp
v398.8%50.0%+48.8pp
v1099.9%50.0%+49.9pp

Source: squid-deltas.md Table 22 (R17 BB defense vs SB open).

Against SB — a wide opener — BB already overdefends MDF by +20.9pp in Cash. No Squid required. BB correctly reads that SB's opening range is full of bluff-candidate hands, so MDF-style defense is warranted against the actual range, not just the theoretical bluff frequency.

The actual Cash pattern is:

Squid amplifies the overdefense direction across all openers — because every opener has a wider range in Squid (widening from squid-equity pressure), and folding carries the added squid-equity cost. The result is BB overdefending MDF against every opener in Squid v3, regardless of how narrow or wide they are.

Actionable: Don't apply the Cash MDF formula in Squid. It undershoots by 40+pp at val=3. The correct instinct is to defend almost every hand, not to calculate a chip-EV floor and fold below it.

What we didn't test in Part 3

  • Defense vs MP is partially sampled. The table has data at Cash, v2, and v3 only — val=1, val=5, and val=10 are gaps. If you're applying these findings to BB's defense against MP openers at extreme val levels, you're extrapolating beyond the tested data.
  • BB's 3-bet composition is not analyzed in this part. The defense numbers include both calls and 3-bets (defense = any non-fold action), but we don't break down what fraction of BB's Squid defense is calls vs 3-bets by hand category. The overall BB 3-bet rate vs CO is 30.2% at val=3 (vs fresh CO) and drops to 6.3% vs a squid-holding CO — those numbers appear in Part 2's state-dependence section, not here. A compositional breakdown of which categories 3-bet vs flat in Squid has not been performed.

The four practical BB-defense takeaways

  1. Defend almost everything at val=3. Against a standard 2.5bb open, 95.8% defense is the Squid baseline. At val=5+, defend literally every hand.
  2. The hands you add are junk — and that's correct. K4o, J6o, low offsuit gappers: these are mandatory defends in Squid. 82–88% of what BB adds to its Cash range is offsuit junk.
  3. MDF is a Cash concept. It undershoots correct Squid defense by 40+pp at val=3. Forget it in Squid.
  4. The "BB overfolds" Cash finding is narrow-opener-specific. Against wide openers (SB), BB already overdefends MDF in Cash. Squid amplifies overdefense against every opener.

Research notes

Details for readers interested in the methodology behind the findings above. Skip this section if you just want the practical takeaways.

  • The position-dependent Cash MDF caveat (§3.3) is tested on one wide opener only. The data shows BB overdefends MDF vs SB (+20.9pp) in Cash and underdefends vs UTG/CO (−7pp to −13pp). The crossover point — where the opener is wide enough that BB switches from underdefending to overdefending in Cash — is inferred to sit between BTN and SB, but BB's Cash MDF deviation vs BTN at varying raise sizes was not explicitly measured. BTN Cash defense is 60.4% vs a 2.5bb open (MDF = 50.0%, deviation +10.4pp), which is directionally consistent with the crossover sitting at or before BTN. However, the BTN number is measured at one raise size only, and the full raise-size sweep (2.0bb through 5.0bb) that characterizes the MDF deviation pattern was run only at the CO and SB positions. If you're coaching a student on exactly where Cash BB defense crosses MDF as opener width increases, the data supports the qualitative claim (narrow openers → underfold, wide openers → overfold) but the precise crossover point carries uncertainty.
Part 4

Flop C-Bet

The flop is where Squid Classic diverges hardest from Cash. Preflop, ranges widen — that is the setup. On the flop, the consequences of that widening arrive. The patterns split cleanly by board texture, and the splits are large enough to rewrite your c-bet strategy entirely.

This part covers seven findings, each grounded in the 12-board canonical test set (CO vs BB, single-raised pot, 100bb). Three Cash theories — slow-play on wet boards, protection betting on dry-connected boards, pocket-pair blocker logic on A-high — all break or reverse in Squid. After the findings, there is a summary table of the Cash-theory shifts and the seven practical flop takeaways.

4.1 Dry rainbow, A-high, and paired boards: bet almost everything

On boards where BB's added junk has no equity, CO's c-bet frequency jumps to 91–99% in Squid v3.

CO flop c-bet frequency by board, CO vs BB single-raised pot, 100bb.

BoardTextureCashSquid v3Cash→v3 Δ
K72rDry K-high rainbow83.6%98.1%+14.5pp
J72rDry J-high rainbow86.5%98.5%+12.0pp
Q83rDry Q-high rainbow74.2%96.5%+22.3pp
A94rA-high rainbow64.9%98.4%+33.5pp
KK5Paired K79.3%97.6%+18.3pp
772Paired low71.6%91.0%+19.4pp

Source: squid-deltas.md Table 3, lines 92–108.

Cash vs Squid v3 c-bet frequency on six dry, A-high, and paired boards. Same position (CO vs BB), same stack depth (100bb), same preflop action.

Bar chart showing c-bet frequency rising from 65–87% (Cash) to 91–99% (Squid v3) across all six board textures. A94r has the largest delta at +33.5pp.

Source: squid-deltas.md Table 3, lines 92–108.

A94r's +33.5pp delta is the standout. In Cash, CO c-bets that board only 64.9% of the time — A-high flops give BB a lot of Ax in the defending range, so fold equity is contested. In Squid, CO fires 98.4%. What changed?

Based on general poker theory The answer is the composition of BB's defending range. Part 3 showed that 82% of the hands BB adds to its Cash→Squid defense are offsuit junk. On A94r, that junk has no pair, no draw, no backdoor — it folds to any pressure. CO's c-bet catches a massive junk fraction in an unimprovable state. The same logic explains every board in this table: dry boards, paired boards, and A-high boards are all textures where offsuit junk has zero equity, so fold equity amplifies.

The dry rainbow boards (K72r, J72r, Q83r) saturate fast — they are already 97–99% at val=1 and barely move with higher val. A94r and the paired boards scale more gradually, reaching near-saturation at v3.

The takeaway: c-bet almost every combo on dry rainbow, paired, and A-high boards at val=3.

4.2 The mid-connected exception: 654, 765, 876r

Three boards where CO c-bets less in Squid than in Cash. This is the only texture category in the dataset where the c-bet delta is negative.

CO flop c-bet frequency on mid-connected boards, CO vs BB single-raised pot, 100bb.

BoardCashval=1Cash→v1 Δ
65458.6%48.2%−10.4pp
76561.5%49.9%−11.6pp
876r62.9%44.6%−18.3pp

Source: squid-deltas.md Table 27, lines 942–951. The direction — all three boards bet less in Squid — is stable across training runs. The exact magnitudes vary; cite the pattern, not the specific numbers.

What makes these three boards special? The hands BB adds to its Squid defense — 54s, 65s, 76s, 87s, 86s, small pocket pairs — hit 654/765/876r hard. Straights, two pair, sets, strong open-enders. CO's opening range is mostly high cards that miss these textures completely. Range advantage flips to BB, and CO correctly checks back.

Even premium hands slow down. On 765 specifically, the Premium (AA–JJ) hand category bet frequency drops from 36% (Cash) to 20% (val=1). CO's strongest hands are slow-playing because BB's connected range is strong enough to make pot control the higher-EV choice.

Scope bounds — this is crucial. The reversal applies only to 654, 765, and 876r. Other mid-connected boards do not reverse:

The band is narrow: boards where the middle card is 6, 7, or 8 and where BB's Squid-added low connectors line up with straight potential while CO's range has minimal coverage.

And it is SRP-only. In 3-bet pots, the reversal itself reverses. On 765 in a 3-bet pot, CO c-bets 70.5% (Cash) and 71.4% (Squid v3) — the board flips from worst to one of the best for CO, because BB's 3-bet range does not contain the low connectors that drive the mechanism. Part 7 covers the 3-bet pot dynamics in detail.

(The published §4.2 magnitudes are subject to checkpoint drift — see the Research notes at the end of this part for why.)

The takeaway: on 654/765/876r in a single-raised pot, check back more in Squid than in Cash — including your premiums. But in 3-bet pots, the opposite is true: c-bet these boards aggressively.

4.3 Monotone boards: bet aggressively despite the intuition

This is the most counterintuitive finding in the flop dataset. Monotone boards show the largest positive c-bet deltas, not the smallest.

CO flop c-bet frequency on monotone boards, CO vs BB single-raised pot, 100bb.

BoardCashv1v3v10Cash→v3 Δ
K94ss32.2%75.9%86.9%94.7%+54.7pp
652ss47.5%89.4%93.2%90.8%+45.7pp

Source: squid-deltas.md Table 3, lines 106–107.

K94ss Cash→v3 of +54.7pp is the single largest positive delta in the entire preflop-to-flop tree. CO goes from betting 32% of the time to 87%.

The naive intuition: "monotone boards protect BB via flush draws, so CO shouldn't c-bet." The data says the opposite.

Based on general poker theory The intuition is wrong because it misidentifies which hands BB is defending with. The flush-carrying hands were already defending in Cash. The hands BB adds in Squid are offsuit junk with no spade — 82–87% of BB's Cash→Squid additions on these boards have zero flush potential. When CO c-bets, this junk has no pair, no draw, no backdoor flush — it folds.

The monotone texture is more profitable for CO to c-bet in Squid than the naive read suggests, because the fold equity comes from BB's non-flush junk, not from BB's flush draws.

The takeaway: c-bet monotone flops aggressively in Squid. K94ss, 652ss, Q73ss — bet. The flush-draw protection intuition does not apply to the range BB is actually defending with.

4.4 Cash slow-play theory splits by texture

In Cash, solver theory says premium hands should slow-play on certain wet boards for pot-control reasons. In Squid, some of these slow-plays survive and others collapse. The split follows a clean rule.

Premium slow-play behavior, Cash vs Squid v3, CO vs BB single-raised pot.

Slow-playWhy it exists in CashCash bet%Squid v3 bet%Verdict in Squid
KK on K94ss (no A♠ blocker)Structural: KK is vulnerable to any flush runout on monotone; no spade blocker means no flush-denial equity0.0%5.5%Survives
AA on 765/876rStructural: range advantage reversal (§4.2) means AA is checking into a stronger BB range0.2%1.5%Survives
AA on T98Pot control: AA is far ahead but T98 is wet and draws get free cards on check — generic pot control, no structural concern62.2%88.9%Collapses
AA on K94ss (has A♠ blocker)Pot control: AA blocks the nut flush and is ahead of BB's range — checking is a low-risk pot-control play67.0%97.2%Collapses

Source: squid-deltas.md lines 615–623; squid-classic-theory.md §4.4.

The pattern is clean. A slow-play motivated by structural range danger — KK on monotone with no flush blocker, AA on a board where BB's range is genuinely stronger (§4.2 mechanism) — survives even under Squid's penalty pressure. A slow-play motivated by generic pot control — AA on T98 or AA with A♠ on K94ss — collapses. The Squid overlay makes checking with a strong hand too expensive when the only reason to check was "I'm ahead and I don't need to bet."

The takeaway: slow-play for structural reasons, not for pot control. If your premium's slow-play in Cash is "because the board is dangerous for my range," keep it in Squid. If it is "because I'm ahead and want to control the pot," bet instead.

4.5 Protection betting AA on 8h6d4h: the Cash rule cleanly reverses

In Cash, solver theory says betting AA on 8h6d4h is overvalued — AA checks almost always. In Squid, the theory reverses cleanly across the full val range.

AA bet% on 8h6d4h across val, CO vs BB single-raised pot, 100bb.

valAA bet%Overall CO bet%
Cash0.3%69.0%
v120.6%60.2%
v347.4%63.4%
v583.4%64.2%
v1098.9%59.1%

Source: squid-deltas.md lines 589–596.

AA bet frequency on 8h6d4h from Cash (0.3%) through val=10 (98.9%). The Cash protection-bet theory reverses cleanly as val increases.

Line chart showing AA bet frequency rising from 0.3% (Cash) through 20.6% (v1), 47.4% (v3), 83.4% (v5), to 98.9% (v10) on 8h6d4h.

Source: squid-deltas.md lines 589–596.

From essentially never betting (Cash 0.3%) to almost always betting (v10 98.9%). The reversal scales smoothly with val — no regime switch, just steady escalation.

Based on general poker theory Three things shift in Squid:
  1. BB's defending range is much wider — more hands that call with draws and connect on turn/river.
  2. Checking gives BB's draws free cards. Each time AA loses a hand it should have won, CO forgoes the chance to gain a squid — a forward-looking cost on top of the chip cost.
  3. CO also has more fold equity against BB's wider range — the junk fraction folds.

The Cash rationale for checking — "AA is far ahead and doesn't need protection" — breaks down when BB's wider range means more live draws that can catch up, and every pot lost is a lost squid opportunity.

The takeaway: bet AA on low/middle-connected dry boards like 8h6d4h in Squid at val=3+. The Cash solver theory that protection betting is overvalued does not survive the Squid overlay.

4.6 Pocket pairs on A-high: the Cash non-monotonicity flattens

In Cash, pocket pairs on A-high boards show a distinctive non-monotonic pattern. Blocker logic dominates raw hand strength: KK checks 98% (overpair vulnerable to ace), 99 bets 98% (set of nines), 88/77 check more than TT. In Squid, the non-monotonicity flattens.

Pocket-pair bet% on A-high board (A94r), CO vs BB single-raised pot, 100bb.

HandCash bet%Squid v3 bet%Cash→v3 Δ
KK2.1%70.4%+68.3pp
QQ9.7%92.5%+82.8pp
JJ38.9%98.1%+59.2pp
TT73.5%97.8%+24.3pp
99 (set)98.1%100.0%+1.9pp
8815.8%96.0%+80.2pp
7724.0%97.2%+73.2pp

Source: squid-deltas.md lines 705–716.

Cash vs Squid v3 pocket-pair bet frequency on A-high board. Cash has a non-monotonic blocker-driven pattern; Squid flattens it to "bet everything 70–100%."

Grouped bar chart. Cash shows a non-monotonic pattern: KK 2.1%, QQ 9.7%, JJ 38.9%, TT 73.5%, 99 (set) 98.1%, 88 15.8%, 77 24.0%. Squid v3 flattens to 70–100% for every pair.

Source: squid-deltas.md lines 705–716.

The Cash pattern is striking: KK checks 98%, 99 bets 98%, 88 checks 84%. You cannot predict the bet frequency from the pair rank alone — blockers and kicker interactions dominate raw strength. In Squid v3, every pair bets 70–100%. KK goes from a near-pure check to betting 70% of the time. 88 and 77 go from checking 84% and 76% to betting 96% and 97%.

Based on general poker theory The Squid overlay simplifies the bet-check decision on A-high boards. In Cash, the blocker reasoning is subtle — KK blocks opponent's continuation range differently than 88 does, and the non-monotonicity reflects those blocker interactions. In Squid, the wider BB range has so much junk that fold equity dominates blocker precision. "Bet any hand with sufficient equity against BB's widened calling range" overrides "apply Cash blocker rules."

The takeaway: in Squid, bet your pocket pairs on A-high boards at 70–100% regardless of blocker reasoning. Cash pocket-pair logic does not apply.

4.7 Overbet usage grows

In Cash, the solver almost never overbets the flop. In Squid, overbet usage rises substantially on dry rainbow and monotone boards.

Overbet share of c-bets on selected boards, Cash vs Squid v3.

BoardCash overbet shareSquid v3 overbet share
K72r0.09%5.09%
K94ss0.09%5.74%
KK50.01%0.71%

Source: squid-deltas.md lines 752–758.

Roughly 50–60× more frequent on K72r and K94ss. KK5 increases less because paired boards have a condensed range profile that favors smaller sizing.

Based on general poker theory Squid creates more "extreme nut advantage" situations. BB's defending range is 82% offsuit junk, which folds to any bet — but folds especially profitably against large bets. CO's range on dry boards has enough strong hands (top pair, overpairs, sets) to support overbet sizing, and BB's junk-heavy range means those overbets get through at a high rate.

The takeaway: use overbet sizing (150%+ pot) on dry rainbow and monotone boards in Squid at val=3+. About 5% of your c-bets on K72r/K94ss should be overbets.

Cash theory shifts on the flop

Three Cash theories change direction in Squid. All three are documented above; this table collects them for reference.

Summary of Cash theory shifts on the flop in Squid.

Cash theoryCash behaviorSquid behaviorType of shift
Slow-play on wet boardsPremium hands slow-play on T98, K94ss (pot control)Structural slow-plays survive (KK on K94ss, AA on 765); pot-control slow-plays collapse (AA on T98, AA on K94ss with A♠)Texture-dependent split
Protection betting AA on 8h6d4hAA checks 99.7% — protection is overvaluedAA bets 47.4% at v3, 98.9% at v10 — protection becomes correctClean reversal
Pocket-pair blocker logic on A-highNon-monotonic: KK checks 98%, 99 bets 98%, 88 checks 84% — blockers dominate raw strengthAll pairs bet 70–100% — blocker logic flattens under penalty pressureFlattens

What we didn't test in Part 4

  • Q73ss is tested less thoroughly than K94ss and 652ss. The monotone finding generalizes (similar deltas observed in Round 8 data), but the Q73ss numbers are approximate. Treat K94ss and 652ss as the primary reference boards for monotone.
  • 3-bet pot flop data is referenced in §4.2 but not shown here. The 3BP dynamics (where the M4 reversal itself reverses, and dry-board deltas grow even larger) are covered in Part 7. Do not extrapolate the SRP findings to 3-bet pots without checking Part 7.

The seven practical flop takeaways

  1. Dry rainbow, paired, A-high boards: c-bet almost every combo at val=3. Frequencies of 91–99% across six tested boards.
  2. 654/765/876r in a single-raised pot: check back more than in Cash — including premiums. BB's range on these textures is stronger than CO's. In 3-bet pots, the opposite holds (covered in Part 7).
  3. Monotone boards: bet aggressively. The flush-draw protection intuition is wrong for the range BB is actually defending with. K94ss goes from 32% to 87%.
  4. Slow-play rule: slow-play for structural reasons (KK on monotone without flush blocker, AA on 765/876r where BB's range is genuinely stronger), not for pot control (AA on T98, AA with A♠ on K94ss).
  5. Protection betting AA on 8h6d4h-type boards: bet. Cash solver theory says check; Squid makes protection correct. At val=3, 47.4% bet; at val=5+, bet the vast majority.
  6. Pocket pairs on A-high: bet 70–100% regardless of blocker reasoning. Cash non-monotonic logic does not apply.
  7. Overbet sizing: use overbets on ~5% of c-bets on dry rainbow and monotone boards. Cash essentially never overbets the flop; Squid does.

Research notes

Details for readers interested in the methodology behind the findings above. Skip this section if you just want the practical takeaways.

  • The §4.2 magnitudes vary across training runs. The research has a documented issue where specific per-cell numbers drift between model training runs while structural and directional claims stay stable. The three §4.2 deltas (654 −10.4pp, 765 −11.6pp, 876r −18.3pp at Cash→v1) are from the v1.0 published research. On the current frozen checkpoint the magnitudes are different — 765 and 654 are roughly twice as negative at v1 — and the strength ranking varies depending on which val level you query. The published 876r number (−18.3pp) is the one cell that reproduces almost exactly on the current checkpoint (−18.5pp); 654 and 765 published cells drift by approximately 10–16pp. What is stable across checkpoints: these three specific boards show negative c-bet deltas in Squid single-raised pots, and no other mid-connected boards do. Treat the published numbers as illustrative of the pattern, not as checkpoint-specific predictions. See known-issues.md §KI-6 for the full drifted-cells registry.
  • The §4.2 "Premium (AA–JJ) hand category" measurement is a bucket average, not an AA-specific measurement. The 36% (Cash) → 20% (v1) numbers describe the combined bet frequency of the AA–JJ hand category on 765. AA specifically bets even less: 0.2% (Cash) → 0.7% (v1) → 1.5% (v3) per the hand-level table in squid-deltas.md line 617. An earlier version of the source research attributed the 36%/20% bucket-average numbers to AA specifically; this was corrected in the R21 post-audit fix. The directional claim — CO's strongest hands slow-play on 765 in Squid — is identical regardless of whether you read the bucket average or the AA-specific number.
Part 5

Later Streets

Chapter status: Coming in v1

Chapter coming in v1

Turn barrel rates drop despite wider flop ranges, delayed c-bets increase sharply, probe rates fall, and limped-pot postflop aggression decreases. River play becomes dramatically more active — frequency jumps from 6.2% in Cash to 57.1% at val=3 on a dry runout, with sizing doubling from 16.5bb to 35.1bb.

Preview of what's in this pillar: Turn barrel decrease, delayed c-bet increase, probe rate reduction, limped-pot aggression drop, facing check-raise dynamics, river polarization

Part 6

Hero-Last & Desperation Polarization

Chapter status: Coming in v1

Chapter coming in v1

When hero is the only player without a squid, strategy polarizes to near-pure raising — 88.8% VPIP with only 2.4% limps. The raise-versus-limp threshold between pocket 88 and 77 defines a clean equity floor that shifts with val.

Preview of what's in this pillar: Hero-last VPIP and raise fraction, pocket pair raise-vs-limp threshold, val-dependent equity floor shift

Part 7

3-Bet Pots

Chapter status: Coming in v1

Chapter coming in v1

The flop mechanisms behave differently in 3-bet pots because BB's 3-bet range is tighter and more polarized. The range-advantage reversal on 654/765/876r disappears — 765 flips from one of CO's worst boards in SRP to one of the best in 3BP. Fold equity amplification is even larger on dry boards in 3BP, while A94r shows the biggest SRP-to-3BP drop.

Preview of what's in this pillar: Range advantage reversal disappears in 3BP, fold equity amplification on dry boards grows, A94r 3BP outlier, monotone 3BP magnitude reduction

Part 8

Open Questions & Scope Limits

Chapter status: Coming in v1

Chapter coming in v1

Covers what the research tested well (8 mechanisms at primary-explanation confirmed), what remains uncertain (limping at high val, single-board check-raise coverage), and what has no data — including MP postflop, limped-pot deep dynamics, multiway scaling beyond val=3, and river play under state conditions.

Preview of what's in this pillar: Limping mechanism at val=10, check-raise cross-texture coverage, MP postflop gap, limped-pot zero-data region, multiway val scaling, river state dynamics

Part 9

Actionables Summary

Twenty-four takeaways from Parts 2 through 8, grouped by street and topic. Each one traces back to a specific section in the body of this flagship.

Status notes

Parts 2, 3, and 4 (Preflop, BB Defense, Flop C-Bet) are published and carry full data support. Parts 5 through 8 (Later Streets, Hero-Last, 3-Bet Pots, Open Questions) are stubs — the takeaways below are included for completeness and reflect the source research findings, but their full write-ups are not yet published. Each stub takeaway carries an inline marker.

All findings are for Classic mode only, 6-max, 100bb stacks, trained val values (1, 2, 3, 5, 10). Extrapolating to Blood Battle or Double mode would be unsound — accumulating squids changes the incentive structure fundamentally.

Preflop (Part 2)

Takeaway 1 — Expect wider ranges at every position; the widening amplifies for later positions. Every position opens wider in Squid than in Cash, and the magnitude grows with position. At val=3: UTG adds +8.4pp, CO adds +14.8pp, BTN adds +23.8pp, SB adds +41.7pp. BTN plays two out of every three hands. SB plays virtually every hand. The position gradient from Cash is preserved in direction and amplified in magnitude.

Takeaway 2 — Limping is not a leak. In Cash, solvers don't limp — it's strictly dominated by raising or folding. In Squid, limping is the minimum-chip-cost way to enter a pot and take a shot at winning a squid. At val=3, BTN limps 30.2% of the time, CO limps 15.5%, and SB limps 98.3%. At val=10, CO limps 75.5% of entered hands. If you see a BTN limp in Squid, don't assume it's a weak player — it's the equilibrium strategy for the middle of their range.

Takeaway 3 — If you hold a squid, play closer to Cash. The range-widening is state-dependent, not a blanket Squid-mode effect. A safe hero's squid-equity delta from winning another pot is zero (binary cap under Classic rules), so their range collapses back toward Cash. The tightness increases with the number of no-squid opponents: hero-has CO at val=3 plays 21.4% with 1 no-squid opponent, 17.2% with 2, and 12.9% with 3. The specific "safe hero at 0 desperate opponents plays 26.7% (≈ Cash 28.1%)" measurement is directionally supportive, but the exact magnitude has a caveat — see Part 2 §2.3.

Takeaway 4 — Count the squids before every decision. State determines strategy. The spread between the widest state (hero desperate + many safe opponents = 88.8% VPIP) and the tightest state (hero safe + many desperate opponents = 12.9% VPIP) is 75.9 percentage points. Ask two questions before every hand: "Am I safe?" and "How many safe opponents do I face?" Hero desperate with safe opponents around → widen aggressively (fold equity is available). Hero safe with desperate opponents around → tighten to value-only (no fold equity and no squid-equity reason to take marginal spots).

Takeaway 5 — From the BB, adjust defense based on the opener's squid state. A squid-holding opener has a stronger range than a fresh one — they have no squid-equity pressure to open marginal hands. BB defense vs a has-squid CO drops by 14.7pp (from 95.8% to 81.1%) and 3-betting drops by 23.9pp (from 30.2% to 6.3%). Tighten your 3-bets against a squid-holder; widen them against a fresh opener.

BB Defense (Part 3)

Takeaway 6 — Defend 95%+ at val=3 from the BB. BB defense vs CO 2.5bb open goes from 51.8% in Cash to 95.8% at val=3 to 100.0% at val=10. Hands that are auto-folds in Cash (K4o, J6o, low offsuit gappers) become mandatory calls. The math is on your side — folding forfeits squid equity that more than compensates for the chip-EV loss of defending junk.

Takeaway 7 — BB overdefends MDF in Squid — don't apply the Cash MDF formula. In Cash, BB systematically underdefends MDF by 7-13pp against narrow openers (the well-documented "BB overfolds" finding). In Squid, BB overdefends by 39+pp. At val=3 vs CO 2bb open: 99.2% defense against a 60.0% MDF, a +39.2pp deviation. The squid-equity cost of folding raises the break-even defense threshold well above the Cash MDF calculation. MDF is a Cash theory and doesn't apply in Squid.

Takeaway 8 — 82% of BB's added defense hands are offsuit junk. The compositional finding behind nearly every flop mechanism in this flagship. Of the hands BB adds going from Cash defense to Squid v1 defense, 82% are offsuit junk, 17% are suited junk, and 1% are suited connectors. Premium and medium-pair categories were already defending 100% in Cash. This composition is what makes CO's c-bet so profitable on most textures — and what makes the mid-connected exception (Takeaway 10) so striking.

Flop C-Bet (Part 4)

Takeaway 9 — Dry rainbow, paired, and A-high boards: c-bet almost everything. On K72r, J72r, Q83r, A94r, KK5, and 772, Cash c-bet frequencies in the 65–86% range rise to 91–99% in Squid v3. BB's defending range is 82% offsuit junk that has no equity on these boards. Use sizes in the 2.5–3.5 BB range.

Takeaway 10 — On 654/765/876r in a single-raised pot, check back more — including premiums. These are the only three boards where CO c-bets less in Squid than in Cash. BB's added hands on these textures are low connectors and small pocket pairs that hit two pair, straights, and strong draws. Range advantage flips to BB. CO's strongest hand categories slow-play more on 765 in Squid because BB's range is too strong to bet into profitably.

Three critical scope notes: (1) this applies only to {654, 765, 876r} — 543 (+2.4pp), 432r (+12.6pp), 987r (+3.9pp), and T98 (+25.5pp) all show positive deltas; (2) this is SRP-only — in 3-bet pots the pattern reverses because BB's 3-bet range doesn't contain the low connectors; (3) the specific magnitude of the negative deltas varies across training runs (the direction is stable, the exact numbers are not — cite the pattern, not the specific cells).

Takeaway 11 — C-bet monotone flops aggressively despite the flush-draw intuition. Monotone boards show the largest positive c-bet deltas in the dataset. K94ss goes from 32.2% in Cash to 86.9% at val=3, a +54.7pp delta. 652ss goes from 47.5% to 93.2% (+45.7pp). The intuition that monotone boards protect BB via flush draws is wrong for the range BB is actually defending with — 82–87% of BB's added hands are offsuit junk with no flush potential. The flush-carrying hands were already defending in Cash.

Takeaway 12 — Slow-play for structural reasons, not for pot control. In Cash, the solver slow-plays premiums on some wet boards for pot-control reasons. In Squid, the split depends on why the slow-play existed. Structural slow-plays survive: KK on K94ss stays at ~5% bet (no spade blocker, range danger), AA on 765/876r stays near 0% (mid-connected range reversal). Pot-control slow-plays collapse: AA on T98 goes from 62% to 89% bet, AA on K94ss with the ace-of-spades blocker goes from 67% to 97%. If the Cash slow-play is "because the board is dangerous for my range," keep it. If it's "because I'm ahead and want pot control," bet in Squid.

Takeaway 13 — The Cash "protection betting is overvalued on 864" theory reverses cleanly. In Cash, betting AA on 8h6d4h is a known mistake — the expected loss vs checking is ~7% of pot. In Squid, AA goes from 0.3% bet in Cash to 47.4% at val=3 to 98.9% at val=10. BB's wider defense range has more non-draw junk that will fold, and the penalty cost of surrendering equity compounds through the hand. Protection betting becomes correct on the exact board where it was wrong in Cash.

Takeaway 14 — The Cash non-monotonic blocker logic (KK 2%, 99 98%, 88 16%) flattens out. In Cash on A-high boards, pocket pairs show non-monotonic bet frequencies driven by blocker reasoning — KK checks 98%, 99 (set) bets 98%, 88 bets only 16%. In Squid v3, all pocket pairs bet 70–100%. KK goes from 2.1% to 70.4%, 88 from 15.8% to 96.0%. Penalty pressure overrides blocker logic. "Bet any hand with sufficient equity against BB's widened calling range" dominates the Cash blocker rules.

Takeaway 15 — Use overbet sizing on dry rainbow and monotone boards. In Cash, the solver almost never overbets the flop (0.09% of bets). In Squid, overbet usage rises to ~5% of bets on dry and monotone boards — roughly 50–60× more frequent. CO's range advantage over BB's widened junk on these textures is large enough to overbet for fold equity. About 5% of your c-bets on K72r/K94ss should be overbets at val=3+.

Later Streets — Part 5 [not yet published]

The full write-up for later-street dynamics is not yet published. The takeaways below are drawn from the source research and will be expanded in Part 5.

Takeaway 16 — Barrel less on turn after the flop c-bet gets called. Despite c-betting wider on the flop, CO barrels the turn less frequently in Squid. On K72r + blank turn: Cash 58.2% → v3 49.0% (−9.2pp). On K72r + ace turn: Cash 74.5% → v3 61.1% (−13.4pp). The one exception: when the turn card pairs the board (K72r + Kc), CO's turn frequency actually increases (+9.3pp). Give up more bluffs on the turn; keep the value barrels. [Part 5 not yet published]

Takeaway 17 — When you check the flop, fire the turn at a higher rate than Cash. Delayed c-bet frequency rises sharply in Squid. K72r + blank turn: Cash 65.9% → v3 82.7% (+16.8pp). T98 + blank turn: Cash 42.7% → v3 55.2% (+12.5pp). If CO checked the flop, BB's range was not filtered by a c-bet — it's still bloated with Squid-defense junk. A turn bet catches that junk unimproved. [Part 5 not yet published]

Takeaway 18 — Probe less after IP check-backs. BB probe after CO checks back the flop: K72r + blank turn, Cash 35.4% → v3 27.6% (−7.8pp). T98 + blank turn, Cash 55.7% → v3 49.3% (−6.4pp). IP's check-back in Squid is a weaker signal of weakness — IP's range is wider and the check-back includes more hands that aren't pure weakness. BB's probe loses some of the fold equity it had in Cash. [Part 5 not yet published]

Takeaway 19 — In limped pots, play cautiously postflop. BB bet frequency after SB limp drops sharply: K72r Cash 69.6% → v3 51.4% (−18.2pp), T98 Cash 58.1% → v3 37.8% (−20.3pp), 543 Cash 23.1% → v3 9.0% (−14.1pp). Neither player has a clearly stronger range after a limp-limp. Value betting and fold equity both drop. [Part 5 not yet published]

Takeaway 20 — Facing a check-raise, fold more and re-raise less. CO facing BB's check-raise on K72r: fold goes from 31.5% to 50.7% (+19.2pp), re-raise goes from 42.5% to 5.6% (−36.9pp). CO's c-bet range in Squid includes a large bluff portion that has nothing against a check-raise. The c-bet was wide; the re-raise range has to be narrow. Fold the bluffs, flat the marginal value, only re-raise the top of your range. [Part 5 not yet published]

Hero-Last and Desperation Polarization — Part 6 [not yet published]

Takeaway 21 — Hero-last: raise big pairs, fold small pairs, and don't limp. Hero-last enters 88.8% of hands but limps only 2.4% — the solver raises almost everything playable. There's a sharp raise-vs-call threshold in the pocket pairs: raise the big pairs, fold the small ones. On the current model, the threshold sits around 88/77 at val=3. Full details in Part 6. [Part 6 not yet published]

3-Bet Pots — Part 7 [not yet published]

Takeaway 22 — C-bet 654/765/876r aggressively in 3-bet pots. The SRP exception (Takeaway 10) reverses in 3-bet pots. On 765: SRP Cash→v3 is −7.6pp, but 3BP Cash→v3 is +0.9pp. BB's 3-bet range doesn't contain the low connectors (54o, 65o, 76o) that drove the SRP range-advantage reversal. CO's 3BP calling range has TT-QQ as overpairs that dominate. [Part 7 not yet published]

Takeaway 23 — 3BP c-bets on dry boards are even more automatic than SRP c-bets. The Squid delta is larger in 3BP because the Cash baseline is lower (CO is more selective in 3BP, so there's more headroom). K72r Cash→v3: SRP +14.5pp, 3BP +28.0pp. KK5 Cash→v3: SRP +18.3pp, 3BP +32.3pp. Bet almost everything. [Part 7 not yet published]

Takeaway 24 — On A-high boards in 3-bet pots, c-bet less than SRP. A94r Cash→v3 in SRP is +33.5pp; in 3BP it's only +15.7pp. The overall bet frequency drops from 98.4% (SRP) to 62.4% (3BP). BB's 3-bet range has most Ax hands — AK, AQ, AJs — which all hit top pair on A94r. About 35% of BB's 3-bet range connects with A-high boards. Fold equity collapses. [Part 7 not yet published]

How to use this page

Three things worth flagging before you apply these takeaways:

Provenance

All numerical claims in this summary trace to the same source chain as the body parts:

Every takeaway number in this page appears in the corresponding body part. No new data is introduced in the summary.

Further reading

This flagship draws on concepts that are foundational to modern GTO poker theory plus a small body of research on atypical poker variants and penalty-driven equilibria. The sources below are useful background reading. None of our specific claims are direct quotes from these works — they come from our own solver verification — but the concepts we test are grounded in the literature these authors developed.

Modern GTO treatment of No-Limit Hold'em

Foundational poker mathematics

AI and poker — peer-reviewed research