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Verified Theory · Book 2 · v1.4.0

Squid Classic
the first strategy manual

How one rule change — a game-end penalty for the last player without a win token — rewrites preflop ranges, flop c-bets, and everything in between.

10 mechanisms identified · 9 primary-explanation confirmed · 1 confirmed with open alternative · cross-checkpoint stable
About this book

Nobody else has published strategy research on this game

Squid Classic is 6-max No-Limit Hold'em with one rule change: the last player who hasn't won a main pot pays a penalty. That single change rewrites preflop ranges, flop c-bet strategy, and the meaning of every fold. Every number in this manual comes from our own solver, queried 2,549 times across 81 batches at the five trained penalty levels. Ten mechanisms explain how the penalty cascades from preflop widening through later-street dynamics — and three Cash theories cleanly reverse under the new rules.

The research is organized street-by-street: what changes preflop, how BB defense expands, which flop textures gain or lose c-bet frequency, and what happens on later streets. Part 9 compresses all 24 actionables into a single reference list. A further reading section at the end points to the foundational poker theory literature that the concepts tested here are grounded in.

What makes Squid Classic different from standard poker: each hand carries a second dimension of expected value — the change in your probability of being the game-end loser. A squid is a binary win token (max 1 per player in Classic mode). At val=3, the loser pays 15 BB; at val=10, 50 BB. That forward-looking term layers on top of standard chip EV and is the root cause of every mechanism documented here.

Methodology

Every finding in this manual was generated by querying a single converged model (universal-dense-v4-player_20260402_150328.onnx) at the five discrete penalty levels the model was trained on: val ∈ {1, 2, 3, 5, 10}. The model is perfectly deterministic at measurement precision — any delta ≥ 0.1 percentage points is a real effect. Cross-checkpoint stability has been confirmed by the training team; all ten mechanisms are tagged as stable across model checkpoints.

When this manual explains why a pattern exists — appealing to fold equity, range advantage, or pot geometry rather than quoting a solver output directly — those passages are marked "Based on general poker theory" or "Based on our reading of the solver output." The marker tells you the reasoning is a domain-theory interpretation, not a direct measurement. Every number is a measurement; every why is labeled.

The research map

How the squid-equity term cascades into everything else

Preflop · The core effect

Squid equity maximization

Every position opens wider as the penalty grows. UTG goes from 17.2% in Cash to 25.6% at val=3 to 50.6% at val=10. BTN goes from 43.3% to 67.1% to 89.3%. SB saturates near 100% by val=3. The position gradient is preserved and amplified — Cash→val=3 delta is +8.4pp at UTG and +41.7pp at SB.

Preflop · The limping zone

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% — still rising from 43.3% at val=5, contradicting fold-equity saturation. Limping vanishes when hero already holds a squid and inverts under hero-last polarization.

Flop · Dry and paired boards

Fold equity amplification

BB's widened 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 exception boards

Range advantage reversal

On 654, 765, and 876r in single-raised pots, CO c-bets less in Squid than in Cash. BB's added connectors (65s, 76s, 87s, small pairs) hit these boards hard, flipping range advantage. 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 (+17.5pp Cash→val=3).

Flop · Monotone boards

Monotone non-flush fold equity

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. The intuition that flush draws protect BB is wrong: 82–87% of BB's added hands are offsuit junk with no flush potential. Heads-up only — does not extend to multiway.

State · Per-seat awareness

State-dependent range adaptation

The model reads each opponent's squid state and adapts. Hero without a squid widens from 42.9% (fresh) to 88.8% (hero-last) as more opponents become safe. Hero with a squid tightens from 21.4% to 12.9% as more opponents are desperate. BB defense drops 14.7pp and 3-bet drops 23.9pp when facing a squid-holding opener.

Later streets · The filter effect

Wider range weakens later streets

Despite wider flop c-bets, CO barrels the turn less: K72r blank turn drops from 58.2% to 49.0%. But delayed c-bets increase — K72r from 65.9% to 82.7%. BB probe rates decrease by 2–8pp across tested spots. The wider flop range includes extras that give up on the turn, dragging the measured rate below Cash.

State · Hero-last

Desperation polarization

When hero is the only player without a squid, strategy polarizes to near-pure raising. Hero-last opens 88.8% of hands but limps only 2.4%. At val=3, the raise-vs-limp threshold sits between pocket 88 (74.9% raise) and 77 (27.0% raise). The specific threshold is approximate — per-pair postflop data is unavailable due to an API extraction gap.

Later streets · After IP checks

Passive signal weakening

An in-position check-back is a weaker signal of weakness in Squid. BB probe rate after CO check drops by 7.8pp on K72r and 6.4pp on T98. The delta is 3.7× larger versus CO than versus BTN — consistent with CO's wider c-bet range making its check-back less informative.

Later streets · Facing aggression

Aggression signal collapse

Facing a check-raise on K72r, CO folds 50.7% in Squid versus 31.5% in Cash (+19.2pp) and re-raises only 5.6% versus 42.5% (−36.9pp). The pattern holds at CO and BTN across all tested textures. At UTG and MP it is texture-dependent — connected boards hold the direction, but all high-card dry boards reverse.

Part 1

What Is Squid Classic

One rule change turns standard poker inside out.

Squid Classic is 6-max No-Limit Hold'em — standard blinds, 100bb effective stacks, the poker you already know — with a single addition: at the end of the game, the only player still holding zero squids pays a penalty.

A "squid" is a win token. Win the main pot, get a squid. Each player can hold at most one (it's binary: you either have one or you don't). The game continues until five of the six players have each won at least one main pot. At that point, the one player still without a squid is the loser.

The loser pays (N − 1) × val big blinds — in 6-max, that's 5 × val. The five squid-holders split the penalty evenly, each receiving val BB. The val parameter controls the penalty magnitude. The model was trained on five discrete settings: 1, 2, 3, 5, and 10 BB. At val=3, the loser pays 15 BB; at val=10, 50 BB.

Split pots don't award a squid. Only the main pot winner gets one. If you already hold a squid and win again, nothing changes — you can't stack squids in Classic mode.

That's the entire rule change.

Everything else — hand rankings, blinds, betting structure, street order, showdown rules — is standard NLHE. The only thing Squid Classic adds is a reason to care whether you win a pot, not just whether you win this pot.

The terminology: safe and desperate

Two labels run through every part of this document:

These labels follow directly from the win-token rule. A squid is safety. No squid is risk.

Why this rule reshapes everything

In standard Cash NLHE, every hand is independent. You make each decision — call, raise, fold — based on chip expected value: what's this action worth in big blinds, right now, against this range?

Squid Classic adds a second dimension of EV to every decision. Each hand carries not just its chip value but also its squid equity — the probability-weighted change in your risk of being the game-end loser. Win a pot and your squid equity jumps (you're safe now). Don't win and you stay exposed. This forward-looking term layers on top of standard chip EV.

The consequences cascade:

What "compounds" and what doesn't

A common misreading of Squid Classic is that "folding costs you a penalty" — as if every fold subtracts something from your stack. That's not how the mechanic works, and the distinction matters for how you think about decisions.

Folding doesn't cost you a squid. Folding doesn't subtract squid equity. You can't lose a squid you don't have, and you can't lose one you do have. The only thing folding does is end your chance to win this particular pot — which means one fewer opportunity to earn a squid if you don't already have one.

The pressure is a forward-looking incentive, not a direct cost attached to folding. The fewer pots remain before the game ends, the fewer chances a desperate player has to get safe. That's what drives range widening — the increasing scarcity of opportunities to win a squid, not a mechanical deduction per fold.

And in Classic mode specifically, the squid is binary. Once you have one, you're done. There's no compounding — winning a second pot doesn't help you, and losing a pot after you're safe doesn't hurt your squid status. The "once safe, done" property is unique to Classic. (Blood Battle and Double modes, which use accumulating squids, work differently — but those modes are outside the scope of this research.)

A word on the label "desperate"

Throughout this document, "desperate" means no-squid — the player currently at risk of being the game-end loser. The label describes the player's position relative to the penalty, not their emotional state or the quality of their hand.

A desperate player at CO with 42.9% VPIP at val=3 is playing wide because the math says entering pots is +EV when squid equity is factored in. A safe player at the same seat with 21.4% VPIP (facing one desperate opponent) is playing tight because their squid-equity term is zero and the desperate opponent won't fold to aggression.

The labels are functional. They tell you which side of the squid incentive a player is on, and that's what determines their strategy.

Where the rules come from

Every rule described in this part traces to GAME-RULES.md — the ground-truth rules reference for all Squid Classic research. That file captures the literal Classic mode rules in plain English, cross-verified against the AceSense product specification (the independent product-side documentation for the live game). The two sources match on every rule: total squids = N − 1, binary cap, main-pot-winner-only awarding, no squid on split pots, and the (N − 1) × val loser penalty.

The strategic observations (VPIP widening, state-dependent ranges) trace to the raw behavioral data in the research files and are developed in full in Parts 2–8.

Part 2

Preflop

Every position widens. The gradient amplifies.

Squid Classic rewrites preflop strategy from the first decision. Every position opens wider than Cash, and the magnitude of widening grows as you move around the table.

Here is what the model does at four val levels, position by position:

Preflop VPIP by position and val. Same stack depth (100bb), same 6-max format — only the Squid val parameter 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 and three Squid val levels (1, 3, 10). Each cluster is one position; bars within each cluster represent Cash, val=1, val=3, val=10.

Grouped bar chart showing VPIP at each position for Cash, val=1, val=3, and val=10. All positions widen; later positions widen more. SB saturates near 100% by val=3.

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

The position gradient — the fact that later positions play wider — is preserved and amplified. Cash already has UTG at 17% and BTN at 43%. At val=3, UTG adds only 8.4 percentage points while BTN adds 23.8 and SB adds 41.7. The gap between early and late positions grows, not shrinks.

SB is the extreme case. At val=3, SB plays 99.6% of hands — essentially every combo in the deck. Even at the minimum trained val (val=1), SB jumps from 57.9% to 85.8%, a +27.9pp step that dwarfs every other position's Cash-to-val=1 move.

Based on general poker theory The widening is driven by the second dimension of value that Squid adds to every hand. In Cash, the decision to enter a pot is a pure chip-EV calculation. In Squid, entering also creates a chance to win the main pot and collect a squid — reducing your risk of being the game-end loser. Hands that are slightly chip-negative to open in Cash can be overall +EV once you add this forward-looking squid-equity component. As val grows, the squid-equity component grows linearly, expanding the zone of profitable entry.

The amplification at later positions reflects that those positions already had the highest pot-winning edge in Cash. Adding a positive squid-equity term to an already-favorable starting point creates the biggest net gain.

The rule of thumb At val=3, roughly add +8pp for UTG/MP, +15pp for CO, +24pp for BTN, and assume SB is playing every hand. At val=10, everyone is playing the majority of their hands. The widening is real, it's monotonic with val, and it's strongest where you're already loosest.

Limping is back — and it is not a leak

In modern Cash NLHE, solvers do not limp. Raising or folding strictly dominates. In Squid, limping returns as a legitimate third option — and for SB it becomes the dominant action.

Preflop limp % by position. Cash limp is 0% at every position except SB (which completes 31.5% in Cash).

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 data not extracted in the current dataset; CO val=10 from squid-deltas.md line 135.

At val=3, BTN limps almost a third of the time. SB limps 98.3% — raising only 1.3% of the time. At val=10, CO limps 75.5% of the hands it enters. This is not a model quirk. It is the equilibrium strategy for the middle (and bottom) of each position's range.

Based on general poker theory Limping invests the minimum chips to have a shot at winning a pot and collecting a squid. For a marginal hand, the chip cost of limping is small — often just 1 BB — while the squid equity of entering is the same whether you limped or raised. The math favors limping when the chip-EV of raising is negative (because opponents defend so wide that fold equity is low) but the chip-EV of limping is closer to zero.

SB is the extreme limper because SB faces both halves of the limping incentive at once: the minimum entry cost (0.5 BB to complete, since SB has already posted 0.5 BB) and the worst fold-equity opportunity (BB has the best pot odds at the table to defend any raise). The model correctly identifies that at val=3, raising from SB generates almost no fold equity and costs 1.5 BB more than limping.

Two control cases confirm the mechanism:

The rule of thumb If you see a BTN limp in Squid, do not assume it is a weak player. It is the equilibrium strategy for a wide band of hands. Counter by raising from BB with a wider 3-bet range to punish the limped ranges.

When hero is safe, ranges tighten toward Cash

Here is what happens when the widening incentive disappears. A player who already holds a squid is safe — their forward-looking squid-equity gain from winning another pot is zero (Classic mode caps squids at 1 per player). The model plays accordingly.

Hero-has CO at val=3 with 0 no-squid opponents: 26.7% VPIP — within 1.4pp of the Cash baseline of 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 have already won a squid, play closer to Cash than you would play fresh. The squid-equity overlay has dropped to zero for you. Your range should tighten — especially when the opponents still without squids are defending wide and your fold equity is low.

State dynamics: desperate opponents versus safe opponents

"Desperate" in this document means no-squid — the player currently at risk of being the game-end loser. "Safe" means has a squid. These labels match the literal Classic mode rules: a squid is a win token, and the only player who ends without one pays the penalty.

The model reads each opponent's squid state and adjusts hero's range. Two complementary gradients emerge.

When hero has no squid (desperate), CO position, val=3:

ConditionHero VPIP
Fresh (no squids anywhere)42.9%
1 safe opponent56.0%
2 safe opponents74.9%
Hero-last (all opponents safe)88.8%

Source: squid-deltas.md lines 150–160

When hero has a squid (safe), CO position, val=3:

# no-squid opponentsHero VPIPReachable?
026.7%No (max 5 squids in 6-max)
121.4%Yes
217.2%Yes
312.9%Yes

Source: squid-deltas.md lines 163, 379–384. The 0-no-squid-opponent row requires 6 squids distributed in a 6-max Classic game that has only 5; see Research notes for the full explanation.

Hero CO VPIP at val=3 across the full spectrum of squid states. Left side: hero has no squid (desperate), opponent-safe count rises. Right side: hero has a squid (safe), no-squid-opponent count rises. The spread from the loosest to the tightest legal state is 75.9 percentage points.

Bar chart of hero CO VPIP at val=3 across seven squid-state configurations. Range spans from 12.9% (hero safe, 3 no-squid opponents) to 88.8% (hero-last). The 75.9pp spread illustrates how dramatically state determines strategy.

Source: squid-deltas.md lines 150–160, 379–384

The spread between the most aggressive legal state (hero-last, 88.8%) and the most conservative (hero safe with 3 no-squid opponents, 12.9%) is 75.9 percentage points. That is the full range of how much the same position, at the same val, adjusts based purely on squid state.

Based on general poker theory Fold equity is the bridge between squid state and range width.

So hero (desperate) facing many safe opponents has high fold equity and widens to exploit it. Hero (safe) facing many desperate opponents has no fold equity and no squid-equity incentive — so hero tightens to value-only.

The intermediate states interpolate smoothly: each additional safe opponent adds roughly 13–16pp to a desperate hero's VPIP, and each additional desperate opponent removes roughly 4.5pp from a safe hero's VPIP.

The rule of thumb Count the squids before every decision. Ask two questions: "Am I safe?" and "How many safe opponents do I face?" The answers determine whether you widen (hero desperate, safe opponents to steal from) or tighten (hero safe, desperate opponents who won't fold).

BB reads the opener's state too

The per-seat squid awareness goes both directions. BB adjusts its defense based on whether the opener has a squid.

BB defense versus CO at val=3:

Opener stateBB defenseBB 3-bet
Fresh CO (no squid)95.8%30.2%
CO holds a squid81.1%6.3%
Delta−14.7pp−23.9pp

Source: squid-deltas.md lines 328–331

A squid-holding CO has no squid-equity pressure to open marginal hands — they are already safe. Their opening range is therefore stronger than a fresh CO's range (closer to the Cash baseline). BB reads this correctly: defense drops 14.7pp and 3-betting drops 23.9pp against the tighter range.

The 3-bet drop is larger than the defense drop because 3-betting the wider (fresh) range is the more profitable exploit. Against a tighter (has-squid) range, 3-betting runs into more genuine value and the fold equity from 3-betting shrinks.

The adjustment works in both directions. CO also reads BB's state:

Source: squid-deltas.md lines 333–336. Open-raise size is constant at 7.2bb across all three conditions; only the frequency changes.

Against a desperate BB who defends almost everything, CO slashes its open-raise frequency — there is no fold equity. Against a safe BB who can afford to fold, CO opens more than twice as often.

The rule of thumb Playing from BB, watch 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.

The three findings at a glance

The preflop story in Squid Classic comes down to three ideas:

  1. Wider everywhere. Every position opens wider. The widening scales with val and with position. SB saturates near 100% by val=3.
  2. Limping is equilibrium. Limping is the minimum-cost path to squid equity for hands too weak to raise. SB limps 98.3%, BTN limps 30.2%, CO limps 15.5% at val=3.
  3. State determines everything. A desperate hero facing safe opponents plays 88.8% of hands. A safe hero facing desperate opponents plays 12.9%. Same position, same val, 75.9pp apart.

The val parameter is a dial, not a switch

The val=3 numbers above are the standard reference point, but val is a continuous dial. Here is what CO VPIP looks like across all six trained val levels:

CO VPIP across all trained val levels. The widening is monotonic and smooth — no regime switches, 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 monotonically increases from Cash (28.1%) through val=10 (76.4%). No regime switches — the widening is smooth and continuous.

Line chart showing CO VPIP rising monotonically from 28.1% at Cash to 76.4% at val=10. The curve is smooth with no discontinuities, confirming val acts as a continuous dial on range width.

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

At val=1, CO barely moves from Cash (+3.4pp). By val=5, CO plays more than half its hands. At val=10, CO plays three out of four. The takeaway: whatever val your table is running, interpolate between these anchors. There are no regime switches — the widening is smooth from end to end.

What we didn't test in Part 2

  • MP postflop is missing. Preflop data covers all five positions (UTG, MP, CO, BTN, SB), but postflop testing was concentrated on CO. If you are coaching MP play, the preflop VPIP and limp numbers are solid, but postflop findings from later parts should not be assumed to transfer to MP without qualification.
  • Limped-pot postflop is a zero-data region. Part 5 covers single-street aggression after SB limps (flop bet frequencies), but deeper post-limp dynamics — multi-street lines, hand-level breakdowns, turn and river play in limped pots — are largely absent from the dataset. Do not extrapolate limped-pot findings beyond the flop.
  • Multiway preflop coverage is almost nonexistent. All preflop VPIP and limp data assumes single-opener scenarios. How these ranges shift in multiway pots (e.g., UTG opens, MP calls, hero on CO) is untested. Multiway flop c-bet data exists at val=3 only (Part 8 covers it); preflop multiway adjustments are not characterized.

The five practical preflop takeaways

  1. Expect wider ranges at every position. At val=3, add roughly +8pp for UTG/MP, +15pp for CO, +24pp for BTN. SB plays everything.
  2. Limping is equilibrium, not a leak. When you see BTN limp 30% or SB limp 98%, that is the correct strategy for the middle of their range. Counter by widening your BB 3-bet range.
  3. If you hold a squid, play Cash. Your squid-equity overlay has dropped to zero. Tighten your range, especially when multiple opponents are desperate and fold equity is low.
  4. Count the squids before every decision. The 75.9pp spread between hero-last (88.8%) and hero-safe with 3 desperate opponents (12.9%) means state matters more than cards for range construction.
  5. Read the opener's squid state from BB. A squid-holding opener has a stronger range. Tighten your 3-bets against them; widen 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 measurement uses a non-physical game state. The "hero has a squid with 0 no-squid opponents" row requires 6 squids distributed in a 6-max Classic game — but Classic mode only distributes N−1 = 5 squids total. This state cannot occur in live play. It was queried because the model was trained on forward-looking squid-equity computations that decompose into per-feature responses; the model learned what "hero is safe" and "all opponents are safe" mean individually, even though the intersection is impossible under Classic rules. The measurement is directionally meaningful — it shows that when both conditions hold, hero reverts to near-Cash behavior (26.7% vs Cash 28.1%) — but it is not a prediction about an observable game state. The legal hero-has states (1, 2, and 3 no-squid opponents giving VPIP of 21.4%, 17.2%, 12.9%) are all physically reachable and reproduce exactly on the current model checkpoint. Cite the legal states for actionable advice; cite the 26.7% number only as a directional indicator of the mechanism.
  • Limping at val=10 is driven by fold-equity dynamics within the same mechanism, not a regime switch. At val=10, CO limps 75.5% of entered hands and even AA limps 95.2% of the time. This looks like a different phenomenon from val=3 limping (where marginal hands limp and strong hands raise), but the underlying mechanism is continuous. As val grows, BB defends wider — at val=10, BB defends essentially every hand. Raising generates near-zero fold equity at that point, so the cost-benefit of raising versus limping flips even for premium hands. It is one mechanism (fold-equity-weighted entry choice) expressed at two extremes, not two separate behaviors. The val=10 AA limping is the same curve as val=3 T5s limping, just evaluated at a different point.
  • OQ4: game-phase as an alternative driver of state-dependent tightening. The hero-has tightening data (26.7% → 21.4% → 17.2% → 12.9% as no-squid opponents increase) is consistent with the primary fold-equity explanation. An alternative story — that hero tightens because more squids distributed means the game is closer to ending, and a safe hero has less marginal upside from pressing edges in a nearly-finished game — predicts the same directional pattern under one label mapping but is contradicted under the rules-corrected label direction. The literal Classic rules require "desperate = no-squid," which invalidates the game-phase story's required label pairing. However, game-phase effects could be a secondary driver layered on top of fold equity. A controlled test holding no-squid-count constant while varying total-squid-count would isolate any residual game-phase component. That test is not in the current dataset. The practical takeaway is identical with or without the game-phase component: safe heroes tighten as desperate-opponent count rises.
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 vs a CO 2.5bb open defends 51.8% of hands. At val=3, that number is 95.8%. At val=10, it rounds to 100.0%.

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 lines 78–84. Dash (—) indicates untested val for that opener.

BB defense rate vs 2.5bb opens, by opener position and val level. The Cash→v1 step is the single largest "switch to Squid" effect for defense — roughly +24 to +30pp across all openers.

Bar chart showing BB defense frequency rising sharply from Cash to v1 across all opener positions, then climbing steadily toward 100% through v10. The Cash→v1 jump is the dominant step, adding roughly 24–30 percentage points.

Source: squid-deltas.md Table 2 lines 78–84

Three things jump out of this table.

The Cash→v1 step is enormous. Against CO, BB goes from defending 51.8% to 81.4% — a +29.6pp jump just from switching to Squid at the minimum trained val. Against UTG (the tightest opener), the step is +23.7pp. Against BTN, +26.5pp. This is the single biggest behavioral shift when you move from Cash to Squid at the lowest penalty level.

Val-scaling is smooth and monotonic. Once you're past the Cash→v1 threshold, defense rates climb steadily through v3, v5, and v10. Against CO, the trajectory is 81.4% → 90.0% → 95.8% → 99.4% → 100.0%. There's no plateau — each val increment pushes BB closer to defending everything.

Saturation happens around val=5 to val=10. Against CO and BTN, BB is already at 99.4% and 99.6% at val=5 — functionally 100%. Against UTG, it takes until val=10 (99.7%) to fully saturate. The tighter the opener, the longer it takes for BB's defense to hit the ceiling.

Why it's that extreme. BB faces the same strategic math as every other position: each hand is a chance to win a pot and gain a squid, and folding forgoes that chance. But BB has a structural advantage that amplifies the effect. BB already has chips invested in the pot. The additional cost to defend is small relative to what's already committed. In Cash, that pot-odds advantage produces a wider defense than other positions would have. In Squid, the squid-equity term — the forward-looking value of having a shot at winning this hand — stacks on top of an already-favorable starting point. The combination pushes BB defense toward saturation faster than any other decision in the preflop tree.

Based on general poker theory The reason BB saturates before other positions is that the defend-or-fold decision is closest to breakeven for the largest number of hands. When the squid-equity term tilts every close decision toward "defend," and BB has the most close decisions, BB's overall defense rate moves the furthest.

3.2 What BB adds is offsuit junk

The defense expansion is dramatic. But what kind of hands is BB adding? This matters, because the answer determines what happens on the flop — and the flop is where several Squid-specific mechanisms depend directly on the composition of BB's range.

The answer is overwhelming: BB's widening is almost entirely offsuit junk.

BB defense composition by hand category, vs CO 2.5bb open. Each row shows the number of combos (out of 1326 total) that defend at each val level.

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 421–449.

Look at the first six rows: premiums, strong hands, medium pairs, suited aces, suited broadway, and offsuit broadway. Every one of those categories is already at maximum in Cash. BB is defending 100% of AA–JJ, 100% of AKs, 100% of 77–22, 100% of offsuit broadway — in Cash. The Squid overlay has nothing to add to these categories.

Suited connectors add 6 combos from Cash to v1. Suited junk adds 74 combos. These are real but small.

The story is in the bottom row. Offsuit junk goes from 102 combos (Cash) to 463 combos (v1) to 730 combos (v3) to 815 combos (v10). That's +361 combos from Cash to v1, which is 82% of all hands added to BB's defense range at the first val step. By v3, offsuit junk accounts for 88% of the added hands (628 of 716 new combos).

The cross-position sanity check — BB vs BTN instead of BB vs CO — shows the same pattern. Against BTN, offsuit junk is 86.5% of the Cash→v1 growth (365 of 422 new combos). The compositional signature is not opener-specific.

Based on general poker theory This is the compositional engine behind what happens next on the flop. When BB's defense range is 82–88% offsuit junk that has no pair, no draw, and no backdoor equity on most board textures, the in-position player's c-bet gains massive fold equity. CO's flop c-bet on a dry rainbow board like K72r isn't just betting into "a wider range" — it's betting into a range where the majority of the new additions fold to any pressure because they connected with nothing.

This single compositional fact — that BB's Squid-added hands are overwhelmingly offsuit junk — is the foundation for the flop c-bet findings in Parts 4 and 5. It explains why CO c-bets 98% on dry boards, why monotone boards show the largest c-bet deltas in the dataset, and why the mid-connected boards 654/765/876r are the sole exceptions. On those three boards, BB's junk does connect — and the dynamics flip. Every flop pattern traces back to this composition table.

3.3 BB overdefends MDF — the Cash "BB overfolds" reversal

In Cash NLHE, BB systematically underdefends minimum defense frequency — the threshold defense rate that prevents an opponent from auto-profiting with pure bluffs. MDF is a foundational chip-EV concept: if you fold more than MDF, your opponent can print money by betting any two cards. Cash BB falls below that threshold by 7–13 percentage points depending on the open size.

In Squid v3, the direction flips completely. BB doesn't just meet MDF — BB overdefends it by 39–44 percentage points.

BB defense vs MDF, Cash and Squid v3. CO opening at five raise sizes. MDF is the theoretical chip-EV floor calculated from the raise size.

Raise sizeBB defense (Cash)BB defense (v3)MDFCash 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 682–712. Dash (—) indicates Squid v3 was not tested at 4.0bb and 5.0bb open sizes.

BB deviation from MDF at each raise size. Cash (negative bars): BB underdefends by 7–13pp. Squid v3 (positive bars): BB overdefends by 39–44pp. The direction flips entirely.

Two-color grouped bar chart showing Cash deviation from MDF as negative bars (−7 to −13pp across all five raise sizes) and Squid v3 deviation as positive bars (+39 to +44pp at the three tested raise sizes). The visual flip from underdefense to overdefense is stark.

Source: squid-deltas.md Table 18 lines 682–712

The Cash pattern is clean: BB underdefends MDF at every tested raise size, and the underdefense grows slightly with larger opens (−7.0pp at 2.0bb, −12.8pp at 3.0bb). This is the well-documented "BB overfolds" finding in Cash NLHE — BB concedes more to larger bets than MDF says it should.

The Squid v3 pattern is the mirror image: BB overdefends MDF at every tested raise size, and the overdefense is massive (+39.2pp at 2.0bb, +43.5pp at 2.5bb, +41.8pp at 3.0bb). BB is defending nearly every hand at every size.

Based on general poker theory The flip happens because MDF is a pure chip-EV calculation. It assumes the only thing at stake is the chips in the pot. In Squid, that assumption is wrong. Every fold forgoes the chance to win this hand and gain a squid. That forward-looking squid-equity cost of folding pushes BB's breakeven defend threshold well above the MDF line. BB defends hands that are chip-negative because the combined chip + squid-equity calculation says "call."

The MDF formula doesn't know about squid equity. Applying it to Squid gives you the wrong answer — not by a little, but by 40+ percentage points.

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

The "BB overfolds MDF" finding in Cash is less universal than it first appears. When the opener is wide — specifically SB — BB actually overdefends MDF even in Cash.

BB defense vs SB open at 2.5bb, by val.

ValBB defenseMDFDeviation
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 lines 797–804.

Cash BB vs SB at 2.5bb: 70.9% defense, +20.9pp above MDF. Compare that to Cash BB vs CO at 2.5bb: 39.6% defense, −10.4pp below MDF. The direction of the deviation depends on who opened.

The pattern makes sense once you think about what MDF assumes. MDF says "defend this much to stop auto-profit bluffs." Against a tight opener (UTG, MP, CO), the opener's range is value-heavy — the MDF calculation overstates the bluff component, and BB correctly folds more than MDF suggests. Against a wide opener (SB), the opener's range genuinely includes a lot of bluff-candidate hands, and BB correctly defends above MDF to exploit the wide range.

So the actual Cash pattern is:

Squid simplifies this: BB overdefends MDF against every opener, because every opener has a wider range in Squid (the squid-equity term pushes all opening ranges wider) AND the squid-equity cost of folding pushes BB's threshold above MDF regardless. The position-dependent Cash nuance gets absorbed into a uniform "overdefend everything" Squid pattern.

(There's a caveat on exactly where the Cash crossover happens — see the Research notes at the end of this part.)

What we didn't test in Part 3

  • Defense vs MP is partially sampled. BB defense vs MP at 2.5bb was tested at Cash, v2, and v3 only. The v1, v5, and v10 cells are missing from the dataset. If you're applying the defense-widening pattern to MP openers at extreme val levels, you're extrapolating from only three data points.
  • 3-bet composition was not analyzed. The hand-category composition table (§3.2) covers BB's calling range — the flat-call and raise components together. The specific composition of BB's 3-bet range in Squid (which hands BB raises vs calls) has not been decomposed at the category level. We know BB 3-bets 30.2% against a fresh CO at val=3 and 6.3% against a squid-holding CO, but the hand-by-hand composition of those 3-bet ranges is untested.

The four practical BB-defense takeaways

The rule of thumb At val=3 or higher, defend almost every hand from the BB against any standard open. The correct defense rate is 85–96% depending on the opener, trending toward 100% at val=5+. If it feels wrong to call with K4o or J6o facing a 2.5bb open, the math says call.
  1. Defend 95%+ at val=3. Against CO and BTN opens, BB's correct defense is 95–97% at val=3. Against UTG, it's still 84.6%. "Fold" is a rare action from the BB in Squid.
  2. The added hands are junk, and that's fine. 82–88% of the hands you're adding to your Cash defense range are offsuit junk. They have no equity on most flops. That's not a reason to fold them — it's the expected composition. The squid-equity math accounts for the fact that these hands will often fold postflop.
  3. MDF is a Cash concept. The minimum-defense-frequency calculation assumes pure chip EV. In Squid, the squid-equity term makes that formula undercount your correct defense rate by 40+ percentage points. Don't use MDF math in Squid.
  4. Watch the opener's squid state, not just their position. A squid-holding opener has a stronger range (closer to Cash, no squid-equity pressure to open marginal hands). BB's defense should adjust: tighter against a squid-holder, wider against a fresh opener. Against a fresh CO at val=3, defense is 95.8% with a 30.2% 3-bet rate. Against a squid-holding CO, defense drops to 81.1% with only 6.3% 3-bet — a −14.7pp defense shift and −23.9pp 3-bet shift.

Research notes

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

  • The Cash position-dependent MDF caveat is tested on one wide opener (SB) only. The finding that Cash BB overdefends MDF against wide openers is established at the SB data point (+20.9pp overdefense at 2.5bb). The BTN is inferred to sit near the crossover between underdefense and overdefense based on the Cash defense gradient (vs CO 39.6%, vs BTN 60.4% — BTN is closer to the MDF line of 50.0% at 2.5bb than CO is). However, BB vs BTN at multiple raise sizes hasn't been measured in the MDF-comparison framework — the BTN crossover point is directional, not pinpointed. The Squid findings are unaffected: BB overdefends every opener at val=3+ regardless of where the Cash crossover sits.
Part 4

Flop C-Bet

The flop is where the biggest Squid-specific differences live. The patterns split cleanly by board texture — some boards amplify your c-bet, one narrow group suppresses it, and a few Cash theories break entirely.

All data in this part is CO vs BB, single-raised pot, 100bb stacks unless noted otherwise.

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

Six board textures. All rise to 91–99% c-bet frequency in Squid at val=3.

CO flop c-bet frequency on six non-connected, non-monotone board textures. Same position (CO vs BB), same stack depth (100bb), same preflop action — only the board changes.

Board Texture Cash Squid v3 Cash→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

CO c-bet frequency: Cash vs Squid v3 on six dry/paired/A-high flop textures.

Bar chart showing Cash c-bet frequencies of 64.9–86.5% rising to 91.0–98.5% in Squid v3 across K72r, J72r, Q83r, A94r, KK5, and 772.

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

The headline: A94r has the largest delta at +33.5pp. In Cash, CO c-bets A94r only 64.9% of the time — it's a spot where range advantage is contested. In Squid v3, that same spot is 98.4%. Nearly every combo bets.

The dry rainbow boards (K72r, J72r, Q83r) were already high-frequency c-bet boards in Cash (74–87%). In Squid they saturate near 98% at val=1 and barely budge from there through val=10. The penalty pressure has almost nothing to add because CO was already betting most of the time.

The paired boards (KK5, 772) show steady growth across val levels. 772 is the slowest to catch up — from 71.6% in Cash to 91.0% at val=3 — because BB's wider range includes small pocket pairs (77, 22) that actually connect with a paired-low board. Still, 91% is a lot of betting.

Based on general poker theory The mechanism is straightforward. BB defends much wider in Squid — and 82% of the hands BB adds are offsuit junk. On boards where offsuit junk has no pair, no draw, and no backdoor equity, CO's c-bet folds out a huge portion of BB's range. Fold equity is amplified precisely because the range it targets is weaker.
The rule of thumb On any dry rainbow, A-high, or paired board in a single-raised pot at val=3, c-bet almost every combo. Frequencies above 95% are the equilibrium, not a deviation from it.

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 group in the entire dataset where the direction reverses.

CO flop c-bet frequency on the three exception boards. Full val trajectory from the M4-scope testing.

Board Cash val=1 val=3 val=5 val=10
65456.5%35.7%31.4%36.9%42.5%
76565.3%37.4%42.4%47.0%51.9%
876r62.8%44.3%51.6%44.9%55.5%

Source: squid-deltas.md Table 27 lines 942–951 (M4-full-val-results). 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.

All three boards are negative at every tested val. The strength ranking is val-dependent (at val=1 the ordering differs from val=3), so the pattern to trust is the direction, not a specific ranking.

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 on 765 in Squid because BB's range is actually strong enough that betting into it is not profitable.

Based on general poker theory When BB defends wider in Squid, the specific hands that get added matter. On 654/765/876r, BB's additions are low connectors (54s, 65s, 76s, 87s) and small pocket pairs — hands that make straights, two pair, and sets on these boards. CO's range is mostly high cards that miss entirely. Range advantage flips to BB. CO correctly checks back.

Scope: this applies only to {654, 765, 876r}. Other mid-connected boards do not reverse:

And in 3-bet pots, the entire reversal disappears. On 765 in a 3-bet pot, Cash→v3 is +17.5pp — CO-favorable. BB's 3-bet range is tight and polarized (AA–TT, AK, AQs) and does not contain the low connectors that drive the reversal. The mechanism is about which hands BB has in range, not about the board texture alone.

The rule of thumb On 654/765/876r in a single-raised pot, check back more than Cash tells you to — including your premiums. BB's range on these textures is stronger than yours. In 3-bet pots, the opposite is true: c-bet aggressively.

4.3 Monotone boards: bet aggressively despite the intuition

The counterintuitive finding. Monotone boards show the largest positive c-bet deltas in the entire dataset.

CO flop c-bet frequency on monotone boards across val levels.

Board Cash val=1 val=3 val=10 Cash→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 goes from 32.2% in Cash to 86.9% in Squid v3. That is a +54.7pp delta — the single largest positive shift in the preflop-to-flop tree.

The intuition says: "monotone boards protect BB with flush draws, so CO should be cautious." The data says the opposite. Why?

Based on general poker theory The flush-carrying hands in BB's range were already defending in Cash. They are not the new additions. The 82–87% of hands BB adds when widening to Squid defense are offsuit junk with no flush potential — no spade on K94ss, no heart on a heart board. When CO c-bets, these junk combos have no pair, no draw, no backdoor. They fold. CO's fold equity on a monotone board is therefore disproportionately large relative to the naive "flush draws protect BB" intuition.

Q73ss shows a similar pattern: roughly +55pp Cash→v3, matching K94ss. The mechanism generalizes across monotone textures.

Important scope limit: this finding is heads-up only. In multiway pots, at least one additional caller is likely to have flopped genuine flush equity, which reverses the fold-equity math. Do not extend this to multiway pots.

The rule of thumb C-bet monotone flops aggressively in Squid single-raised pots. The flush-draw protection intuition is wrong for the range BB is actually defending with.

4.4 Cash slow-play theory splits by texture

In Cash, the solver slow-plays premium hands on certain wet and monotone boards. In Squid, whether that slow-play survives depends on why it existed in the first place.

Premium hand slow-play across four tested spots. "Structural" slow-plays survive the penalty; "pot control" slow-plays collapse.

Slow-play Why it exists in Cash Cash bet% Squid v3 bet% Verdict in Squid
KK on K94ss (no A♠ blocker) KK is structurally vulnerable to any flush runout — no spade blocker means any four-flush kills you 0.0% 5.5% Survives — still slow-plays 94.5%
AA on 765 / 876r Range advantage reversal — BB's range on mid-connected boards is too strong for AA to value-bet into 0.2% 1.5% Survives — still slow-plays 98.5%
AA on T98 Generic pot control — AA is ahead but the board is wet; Cash says slow down 62.2% 88.9% Collapses — bets 89% in Squid
AA on K94ss (has A♠ blocker) Pot control — AA blocks the nut flush, less vulnerable; Cash bets 67% already 67.0% 97.2% Collapses — bets 97% in Squid

Source: squid-deltas.md lines 615–623

The split is clean. When the slow-play exists because of a structural danger to your range (KK is genuinely weak on a monotone board without a spade; AA genuinely cannot value-bet into BB's connected range on 765), the penalty pressure does not override it. When the slow-play exists for generic pot-control reasons ("I'm ahead, let me check for deception"), the penalty washes it away.

The rule of thumb Slow-play structure, not mood. If your premium's slow-play in Cash exists because "the board is structurally dangerous for my range," keep it in Squid. If it exists because "I'm ahead and want pot control," bet in Squid instead.

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

In Cash, betting AA on 8h6d4h is a known mistake. The expected loss versus checking is roughly 7% of pot. The solver checks 99.7% of the time. In Squid, this theory breaks entirely.

AA bet frequency on 8h6d4h across val levels. The Cash→Squid reversal is smooth and monotonic.

Val AA bet%
Cash0.3%
val=120.6%
val=347.4%
val=583.4%
val=1098.9%

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 cleanly reverses.

Line chart showing AA bet frequency on 8h6d4h rising from 0.3% (Cash) to 20.6% (val=1) to 47.4% (val=3) to 83.4% (val=5) to 98.9% (val=10).

Source: squid-deltas.md lines 589–596

From 0.3% to 98.9%. That is one of the cleanest Cash-to-Squid theory breaks in the dataset.

Why does the calculation flip? Three factors shift together:

Based on general poker theory
  1. BB's wider defense range includes more non-draw junk. In Squid, BB's range on 8h6d4h isn't just the connected hands and draws — it includes offsuit garbage that will fold to a bet. Fold equity rises.
  2. Checking gives BB's draws free cards in a wider range. BB's drawing hands still get to see the turn for free on check, and because Squid also widens turn ranges, AA's postflop equity decays more aggressively through BB's range width than it does in Cash.
  3. Each time AA loses a hand it should have won, CO forgoes the chance to gain a squid. The forward-looking cost of surrendering equity compounds with the chip cost.
In Cash, checking was correct because BB's calling range was draw-heavy and betting isolated AA against a favorable-for-draws range. In Squid, the equation shifts because BB's range composition shifts.
The rule of thumb Bet AA on low/middle-connected dry boards (8h6d4h-type) in Squid at val=3 and above. The Cash "protection is overvalued" theory reverses under the penalty.

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 and kicker interactions dominate raw hand strength. In Squid, the pattern flattens.

Pocket-pair bet frequency on an A-high board (CO c-bet decision). Cash vs Squid v3.

Hand Cash bet% Squid v3 bet% 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

Pocket-pair bet frequency on an A-high board: Cash (non-monotonic) vs Squid v3 (flattened to 70–100%).

Grouped bar chart showing Cash pocket-pair bet frequencies ranging from 2.1% (KK) to 98.1% (99) in a non-monotonic pattern, flattening in Squid v3 to 70.4%–100.0% across all pairs.

Source: squid-deltas.md lines 705–716

Look at the Cash column. KK checks 98% of the time — it's an overpair on an A-high board, and the blocker/vulnerability logic says to slow down. 99 bets 98% because it flopped a set. 88 only bets 16%, despite being a lower pair than TT (73.5%). Blocker reasoning dominates raw pair rank.

Now look at the Squid v3 column. Every pair bets between 70% and 100%. The non-monotonicity collapses. KK goes from checking 98% to betting 70%. 88 goes from checking 84% to betting 96%. The penalty pressure overrides the Cash blocker-driven logic.

Based on general poker theory The simplification makes sense. In Squid, BB's range is so wide that the question changes from "does my specific blocker interact with BB's value range?" to "does my hand beat the average hand BB is defending with?" Against a junk-heavy defending range, the answer is yes for every pocket pair. The nuance that Cash demanded (KK blocks sets, 88 doesn't interact cleanly with AK) gets washed out by the blunt force of BB defending with 95% of hands.
The rule of thumb In Squid at val=3 or above, bet your pocket pairs on A-high boards at 70–100% regardless of blocker reasoning. The Cash non-monotonic pattern does not apply.

4.7 Overbet usage grows

In Cash, the solver almost never overbets the flop — 0.09% of bets. In Squid v3, overbet usage rises to roughly 5% of bets on dry rainbow and monotone boards. That is approximately 50–60× more frequent.

Source: squid-deltas.md lines 752–758

The mechanism is consistent with what the rest of this part shows. Squid creates more situations where CO has extreme range advantage against BB's widened junk. On dry rainbow boards (K72r) and monotone boards (K94ss), that advantage is large enough to justify overbet sizing — 150%+ pot — because BB's junk will fold to any size and CO's value hands extract more from BB's rare continuing range.

The rule of thumb Use overbet sizing on dry rainbow and monotone boards in Squid at val=3 and above. About 5% of your c-bets on these textures should be overbets. Cash essentially never overbets the flop; Squid does.

Cash theory shifts on the flop

Three Cash theories tested in Squid with clear verdicts:

Cash theory Cash behavior Squid behavior Verdict
Slow-play wet boards Premiums slow-play on wet/monotone boards for 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 bet AA on 8h6d4h AA checks 99.7% — protection is overvalued AA bets 47.4% at val=3, 98.9% at val=10 — protection becomes correct Cleanly reverses
Pocket-pair blocker logic on A-high Non-monotonic: KK checks 98%, 99 bets 98%, 88 checks 84% All pairs bet 70–100% — blocker logic overridden Flattens under penalty

Sources: squid-deltas.md lines 589–596, 615–623, 705–716

The common thread: Cash theories that rely on fine-grained blocker interactions and pot-control nuances break when BB's range is 82% junk. The texture-dependent slow-play split is the one exception — structural danger (genuine range disadvantage, genuine flush vulnerability) survives because it's not about nuance, it's about fundamental range weakness.

What we didn't test in Part 4

  • Q73ss is tested less thoroughly than K94ss and 652ss. The monotone pattern generalizes directionally (approximately +55pp Cash→v3), but the specific per-val and per-hand-category data for Q73ss is approximate. If you're coaching monotone boards and need precise numbers, lean on K94ss and 652ss.
  • 3-bet pot data is referenced in §4.2 but not shown in full here. The 765-in-3BP finding (+17.5pp Cash→v3) and the full SRP-vs-3BP board comparison are covered in Part 7. Coaches working 3-bet pot spots should read that part for the full tables.

The seven practical flop takeaways

  1. Dry rainbow, paired, and A-high boards: c-bet almost every combo at val=3. Frequencies above 95% are the equilibrium.
  2. 654/765/876r in single-raised pots: check back more than Cash — including premiums. BB's range is stronger than yours on these three specific boards. In 3-bet pots, the opposite is true.
  3. Monotone boards: c-bet aggressively. The flush-draw protection intuition is wrong for BB's actual defending range. Heads-up only — do not extend to multiway.
  4. Slow-plays: keep structural slow-plays (KK on K94ss, AA on 765). Drop pot-control slow-plays (AA on T98, AA on K94ss with A♠).
  5. AA on 8h6d4h-type boards: bet at val=3 and above. The Cash "protection is overvalued" theory reverses.
  6. Pocket pairs on A-high: bet 70–100% regardless of blocker logic. The Cash non-monotonic pattern flattens.
  7. Overbet sizing: use overbets (~5% of bets) on dry rainbow and monotone boards. Cash never does this; 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 checkpoints while structural and directional claims stay stable. The three §4.2 deltas (654 at val=1 35.7%, 765 at val=1 37.4%, 876r at val=1 44.3%) are from the published v1.0 research. On the current frozen checkpoint the magnitudes are different — 765 and 654 are roughly twice as negative at val=1, and the strength ranking of the three boards varies depending on which val level you query. What is stable is the pattern: these three specific boards show negative c-bet deltas in Squid single-raised pots at every tested val, and no other mid-connected boards do. The body text cites the published numbers because those are the verified source-of-record values; the provenance note below the table signals the drift. Treat the published numbers as illustrative of the pattern, not as checkpoint-specific predictions.
  • The §4.2 premium slow-play measurement: hand-category average, not AA-specific. The "36% Cash → 20% val=1" bet frequency cited for 765 is the AA–JJ hand-category average, not the AA combo measurement. AA specifically bets even less: 0.2% (Cash) → 0.7% (val=1) → 1.5% (val=3) — essentially always slow-playing. An earlier version of the source research attributed the 36%/20% numbers to AA directly; the current source corrects this to the AA–JJ category level. The practical takeaway is identical: CO's strongest hands slow-play on 765 in Squid. The distinction matters for precision: the 36%/20% numbers include JJ, TT, QQ, and KK in the average, which each have different individual frequencies.
Part 5

Later Streets

Chapter status: Coming in v1

Chapter coming in v1

Turn barrel rates decrease despite wider flop ranges, delayed c-bets increase when CO checks the flop, BB probe rates drop, and limped-pot aggression falls sharply. River play on blank runouts is dramatically more active — frequency jumps from 6.2% to 57.1% and sizing doubles from 16.5bb to 35.1bb on K72r.

Preview of what's in this pillar: Turn barrel decrease, delayed c-bet increase, probe rate weakening, limped-pot aggression drop, facing check-raise fold/re-raise collapse, river polarization on blank runouts

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 but only 2.4% limping. The raise-vs-limp threshold at val=3 sits between pocket 88 (74.9% raise) and 77 (27.0% raise), with the threshold shifting at different penalty levels.

Preview of what's in this pillar: Hero-last polarization, raise-vs-limp threshold by pocket pair, val-dependent threshold shifts, hero-last versus hero-has contrast

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 CO's worst c-bet board in SRP to one of the best in 3BP. Dry-board c-bet deltas are even larger in 3BP than SRP, while A-high boards show the biggest SRP-to-3BP drop.

Preview of what's in this pillar: Range advantage reversal disappears in 3BP, dry-board c-bet amplification, A94r 3BP drop, K72r and KK5 3BP deltas, monotone 3BP magnitude

Part 8

Open Questions & Scope Limits

Chapter status: Coming in v1

Chapter coming in v1

What the research covers well (nine mechanisms at primary-explanation confirmed, one with an open alternative), what remains uncertain (the adversarial alternative gap on later-street weakening, the per-pair API extraction gap on the hero-last threshold), and what has zero data coverage (MP postflop, limped-pot multi-street lines, river scare-card runouts, multiway at penalty levels other than val=3).

Preview of what's in this pillar: Later-street weakening adversarial gap, hero-last threshold ambiguity, MP postflop gap, limped-pot multi-street gap, multiway val-scaling gap, mode scope (Classic only)

Part 9

Actionables Summary

Twenty-four takeaways from Parts 2 through 8, compressed for reference. Every number traces back to the part where it was first presented. If you want the data table, the mechanism, or the scope qualifier behind a takeaway, follow the part reference.

Status notes: Parts 2, 3, and 4 are published in full. Parts 5 (Later Streets), 6 (Hero-Last), 7 (3-Bet Pots), and 8 (Open Questions) are stubs — their takeaways are included here for completeness because the underlying data exists in the source research, but the full write-ups have not been through the same editorial and coach-review process as Parts 2–4. Takeaways from stub parts are marked with an inline *[Part N not yet published]* tag.

Preflop (Part 2)

1. Every position opens wider in Squid. The gradient amplifies.

At val=3, roughly add +8pp for UTG, +6pp for MP, +15pp for CO, +24pp for BTN, and saturate SB near 100%. The widening grows monotonically with position — later seats gain more because they started with higher baseline chip-EV in Cash.

2. Limping is not a leak — it is the equilibrium strategy for a large chunk of each position's range.

BTN limps 30.2% of hands at val=3. CO limps 15.5%. SB limps 98.3%. These are not mistakes. Limping is the minimum-chip-cost way to enter a pot and take a shot at winning a squid when your hand is too weak to raise but the penalty for folding is too high.

3. If you already hold a squid, play closer to Cash.

A safe hero's squid-equity delta from winning another pot is zero (Classic's binary cap). Your range shrinks back toward Cash levels — and shrinks further as the number of no-squid opponents at the table grows, because those opponents defend wide and your fold equity drops. 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.

4. Count the squids before every decision.

Your state and your opponents' states determine the entire strategy. At CO val=3, the spread between the loosest legal state (hero desperate, 3+ safe opponents → 88.8% VPIP) and the tightest (hero safe, 3 no-squid opponents → 12.9% VPIP) is 75.9 percentage points. That is not a marginal adjustment — it is a different game. Ask two questions before every hand: "Am I safe?" and "How many safe opponents do I face?"

5. From the BB, read the opener's squid state.

BB defense vs a fresh CO at val=3 is 95.8% with a 30.2% 3-bet rate. Against a squid-holding CO, defense drops to 81.1% and the 3-bet rate collapses to 6.3%. A squid-holding opener has no squid-equity pressure to open marginal hands — their range is stronger and closer to Cash. Tighten your 3-bets against squid-holders; widen them against fresh openers.

BB Defense (Part 3)

6. Defend nearly every hand from the BB at val=3.

BB defense vs a 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 straightforward: folding forfeits squid equity, and BB already has the best pot odds at the table.

7. The hands BB adds are junk — and that matters for everything that follows on the flop.

82% of the hands BB adds between Cash and val=1 are offsuit junk. 17% are suited junk. 1% are suited connectors. Premium and strong-pair categories were already defending 100% in Cash. This compositional signature drives the flop c-bet findings in Part 4: when CO bets the flop, most of BB's new defending range has nothing.

8. BB overdefends MDF in Squid — the Cash MDF formula does not apply.

In Cash, BB underdefends MDF by 7pp against a CO 2bb open (53.0% defense vs 60.0% MDF). In Squid val=3, BB overdefends by +39.2pp (99.2% defense vs 60.0% MDF).

Based on general poker theory the squid-equity cost of folding raises the break-even defense threshold well above anything the Cash MDF calculation produces.

Flop C-Bet (Part 4)

9. Dry rainbow, paired, and A-high boards: c-bet almost everything.

Cash c-bet frequencies in the 65–86% range rise to 91–99% in Squid val=3. K72r goes from 83.6% to 98.1%. A94r goes from 64.9% to 98.4%. Q83r goes from 74.2% to 96.5%. BB's defending range is 82% offsuit junk with no equity on these textures — the c-bet folds it out.

10. The mid-connected exception: 654, 765, 876r are the three boards where CO c-bets LESS in Squid than in Cash.

All three boards show negative c-bet deltas at every tested val. On 654, Cash 56.5% drops to 31.4% at val=3. On 765, Cash 65.3% drops to 42.4%. On 876r, Cash 62.8% drops to 51.6%. BB's added range on these boards is low connectors and small pocket pairs — hands that actually hit. Range advantage flips to BB. Scope: this applies only to these three specific boards in single-raised pots. 543 (+2.4pp), T98 (+25.5pp), 987r (+3.9pp), and 432r (+12.6pp) all show positive deltas. In 3-bet pots, the pattern reverses entirely — see takeaway 22.

11. Monotone boards: bet aggressively despite the flush-draw intuition.

K94ss goes from 32.2% in Cash to 86.9% at val=3 — a +54.7pp delta, the largest in the dataset. 652ss goes from 47.5% to 93.2%. 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 with no flush potential. The flush-carrying hands were already defending in Cash.

12. Slow-play for structural reasons, not for pot control.

A slow-play motivated by structural range danger survives into Squid. KK on K94ss (no spade blocker, unblocked nut flush): Cash 0% bet → val=3 5.5% bet — still a slow-play. AA on 765 (M4 range reversal): Cash 0.2% → val=3 1.5% — still a slow-play. A slow-play motivated by generic pot control collapses. AA on T98: Cash 62% → val=3 89%. AA on K94ss (Ace of spades blocks nut flush): Cash 67% → val=3 97%.

13. The Cash "protection betting is overvalued on 864" theory reverses cleanly.

AA on 8h6d4h: Cash 0.3% bet → val=1 20.6% → val=3 47.4% → val=5 83.4% → val=10 98.9%. In Cash, betting AA here isolates against a draw-heavy range for negative EV. In Squid, BB's wider defense range includes more non-draw junk that folds, and the penalty cost of surrendering equity through free cards compounds. Protection betting becomes correct on the exact board where it was wrong in Cash.

14. The Cash non-monotonic blocker logic (KK 2%, 99 98%, 88 16%) flattens out.

In Cash, pocket pairs on A-high boards show sharply non-monotonic bet frequencies — blocker logic dominates raw hand strength. In Squid val=3, every pocket pair from KK to 77 bets between 70% and 100%. KK goes from 2.1% to 70.4%. QQ from 9.7% to 92.5%. 88 from 15.8% to 96.0%. Penalty pressure overrides blocker reasoning: the decision simplifies to "bet any hand with sufficient equity against BB's widened calling range."

15. Overbet usage grows from near-zero to ~5% of bets on dry and monotone boards.

Cash overbets the flop 0.09% of the time. Squid rises to ~5% on K72r and K94ss-type textures — roughly 50–60× more frequent. Squid creates more "extreme nut advantage" situations on dry and monotone boards, and overbets become a viable sizing at val=3+.

Later Streets — Part 5 [not yet published]

Part 5 covers turn barrels, delayed c-bets, probes, limped-pot postflop play, check-raise dynamics, and river sizing. The full write-up is pending. Takeaways below are drawn from the source research and included for completeness.

16. Barrel less on the turn after a flop c-bet gets called.

On K72r with a blank turn, Cash barrels 58.2% — Squid val=3 barrels 49.0% (−9.2pp). With an ace turn, Cash 74.5% → Squid 61.1% (−13.4pp). The wider Squid flop c-bet does NOT mean wider turn pressure. Give up more bluffs on the turn; keep the value barrels. Exception: when the turn card pairs the board (King on K72r), the barrel direction flips — Cash 22.2% → Squid 31.5% (+9.3pp). The pairing turn gives CO's range additional value and fold equity that override the general direction. [Part 5 not yet published]

17. When you check the flop, plan to fire the turn at a higher rate than Cash.

K72r with a blank turn after a flop check: Cash 65.9% → Squid val=3 82.7% (+16.8pp). T98 with a blank turn: Cash 42.7% → Squid 55.2% (+12.5pp). BB's range was not filtered by a c-bet, so it is still bloated with Squid-defense junk. The delayed c-bet catches that junk unimproved. [Part 5 not yet published]

18. Probe less after IP check-backs.

BB probe after CO check on K72r with a blank turn: Cash 35.4% → Squid val=3 27.6% (−7.8pp). On T98: Cash 55.7% → Squid 49.3% (−6.4pp). An IP check-back in Squid is a weaker signal of weakness than in Cash — IP's range is wider, and the check-back includes more hands that are not pure weakness. BB's probe loses fold equity. [Part 5 not yet published]

19. In limped pots, play cautiously postflop.

BB bet frequency after SB limp on K72r: Cash 69.6% → Squid val=3 51.4% (−18.2pp). T98: Cash 58.1% → Squid 37.8% (−20.3pp). 543: Cash 23.1% → Squid 9.0% (−14.1pp). Neither player has a clearly stronger range after a limp-limp. Value betting and fold equity both drop. Note: this finding covers flop decisions in limped pots only. Turn, river, and multi-street post-limp lines are zero-coverage areas. [Part 5 not yet published]

20. Facing a check-raise: fold more, re-raise less.

CO facing BB's check-raise on K72r: fold goes from 31.5% in Cash to 50.7% in Squid val=3 (+19.2pp). Re-raise drops from 42.5% to 5.6% (−36.9pp). The c-bet was wide; when BB shows strength, the bluffs fold and the value range tightens. Scope: CO and BTN show this fold-heavy collapse on all tested textures. UTG and MP show a board-conditional split — connected boards (T98) hold the direction, but all high-card dry boards (A-high, K-high, Q-high) reverse. [Part 5 not yet published]

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

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 is a sharp raise-vs-limp 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, but the specific pair-rank floor is approximate — per-pair postflop data is unavailable due to an API extraction gap. Full details in Part 6. [Part 6 not yet published]

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

22. In a 3-bet pot, c-bet 654/765/876r aggressively — the SRP exception reverses.

On 765 in a single-raised pot, Cash→val=3 is −7.6pp (the M4 exception). In a 3-bet pot, Cash→val=3 is +0.9pp. BB's 3-bet range does not contain the low connectors and small pocket pairs that drive the SRP range-advantage reversal. Without those hands, 765 no longer favors BB. [Part 7 not yet published]

23. 3-bet pot c-bets on dry boards are even more automatic than SRP c-bets.

K72r Cash→val=3 delta: +14.5pp in SRP, +28.0pp in 3-bet pots. KK5: +18.3pp in SRP, +32.3pp in 3-bet pots. The 3BP Cash baseline is lower (CO is more selective), which gives the squid penalty more headroom to push c-bet frequency up. [Part 7 not yet published]

24. On A-high boards in 3-bet pots, c-bet less than you would in SRP.

A94r Cash→val=3 in SRP is +33.5pp. In a 3-bet pot, the delta drops to +15.7pp, and the overall bet frequency falls from 98.4% (SRP) to 62.4% (3BP). BB's 3-bet range has most Ax hands (AK, AQ, AJs) — roughly 35% of that range hits top pair or better on A94r. Fold equity collapses. [Part 7 not yet published]

How to use this page

Three scope notes that are easy to miss when scanning the takeaways above:

Provenance

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