Verified Theory · Book 2

Squid Classic
the first strategy manual

Squid Classic is our proprietary poker variant. Every pot now carries a game-end win token called a "squid," and whoever finishes without one pays a penalty. Nobody else has published strategy research on it. Here's what our solver does, why, and what we couldn't verify.

10 mechanisms verified · grounded in the literal game rules · multi-checkpoint cleared
About this book

The game nobody else has studied

Squid Classic is 6-max No-Limit Hold'em with one rule change. Each hand, the main pot winner receives a "squid" — a win token. A player holds at most one. The game runs until five of the six players each hold a squid, and the sixth — the last one with zero — pays a penalty to all the squid holders at game end. At val=3, the loser pays 15 BB. At val=10, 50 BB.

That one rule reshapes every preflop range, re-introduces limping as a legitimate strategy, flips a handful of Cash poker theories, and creates a state-dependent equilibrium where your optimal play depends on who at the table already has a squid and who doesn't. No training site has published research on any of this. No GTO tool supports the game. This is the first rigorous strategy manual for it.

Every number on this page comes from our own solver running queries against the Squid model family. We'll explain what the solver does, why it does it, and — honestly — what we couldn't verify yet.

Methodology

Every claim in this manual is verified against our solver's output on the Squid model family, cross-checked for stability across multiple model checkpoints. The strategic conclusions are derived directly from the literal game rules — specifically, the fact that squid is a win token awarded to pot winners and that the penalty applies once at game end to whoever holds zero squids.

Where a claim depends on general poker theory rather than our own measurements, we label it explicitly so the reader can tell them apart. Where a Cash poker theory would predict different behavior, we flag the conflict and say which one the solver actually follows.

Table of Contents

The 9 parts

  1. What Is Squid ClassicPublished
  2. PreflopPublished
  3. BB DefensePublished
  4. Flop C-BetPublished
  5. Later StreetsComing soon
  6. Hero-Last & Desperation PolarizationComing soon
  7. 3-Bet PotsComing soon
  8. Open Questions & Scope LimitsComing soon
  9. Actionables SummaryPublished
The 10 mechanisms

How the squid-equity term cascades into everything else

M1 · Root

Squid Equity Maximization

Every hand is a chance to win a squid. Hands that are chip-negative in Cash can be overall +EV in Squid because the squid-equity term is positive. CO VPIP scales Cash 28.1% → val=3 42.9% → val=10 76.4% across all legal game states. The hero-has "0 desperate opps" control at 26.7% (≈ Cash) is suggestive but relies on a non-physical 6-squid configuration — see Part 2 §2.3 for the caveat.

T1 Multi-checkpoint
M2 · Derived

Low-Cost Pot Entry

Limping re-emerges because it's the minimum-chip way to take a shot at a squid. SB limps 98.3% at val=3. BTN 30.2%. At val=10, 99% of CO's entered hands are limps. Weak only at val=10 extremes where fold equity saturates.

T1-WEAK Multi-checkpoint
M3 · Flop

Fold Equity Amplification

BB defends +44pp wider in Squid (51.8% → 95.8% vs a 2.5bb CO open), and 82% of the added hands are offsuit junk. On dry, paired, and A-high boards, CO's c-bet rises between +12pp (J72r) and +33.5pp (A94r) Cash→v3 — the added junk folds.

T1 Multi-checkpoint
M4 · SRP, 654/765/876r only

Range Advantage Reversal

On 654/765/876r in single-raised pots, BB's added low connectors and small pairs crush the board. CO c-bets LESS in Squid. 876r drops −18.3pp, 765 drops −11.6pp, 654 drops −10.4pp (Cash → v1). In 3-bet pots the reversal itself reverses — M4 flips sign on 765.

T1 SRP-only
M5 · Monotone flop

Monotone Non-Flush Fold Equity

On monotone boards, 82–87% of BB's added defending range is offsuit junk with no flush potential. CO c-bet K94ss: Cash 32.2% → val=3 86.9% (+54.7pp — the largest positive delta in the research).

T1 Multi-checkpoint
M6 · State-dependent

State-Dependent Range Adaptation

Per-seat squid awareness: hero adjusts to its own state and each opponent's. Hero safe + 3 desperate opps → 12.9% (no fold equity, play tight). Hero desperate + 3 safe opps → 88.8% (must win, high fold equity). 75.9pp spread.

T1 Multi-checkpoint
M7 · Later streets

Wider Range Weakens Later Streets

Turn barrels −9 to −13pp, probes −2 to −8pp, limped-pot bets −14 to −20pp. Delayed c-bet is the exception at +12 to +17pp because checking the flop doesn't filter BB's range.

T1 Multi-checkpoint
M8 · Hero-last

Desperation Polarization

Hero-last enters 88.8% VPIP but limps only 2.4% — raises almost everything. Pocket-pair threshold is sharp: AA–QQ 100% raise, JJ 98%, TT 73%, 99 only 5%. Polarized, not just wide.

T1 Multi-checkpoint
M-Probe · Turn

Passive Signal Weakening

BB probes less after IP checks back, because IP's check-back range is less cleanly capped in Squid than in Cash. Turn probe frequency drops 2–8pp.

T1
M-XR · vs check-raise

Aggression Signal Collapse

Facing a check-raise, CO folds +19pp more and re-raises −37pp less. Once aggression is concrete, chip-EV dominates again — squid equity alone doesn't justify calling or repopping. Only one board tested so far.

T1-WEAK Single board
Part 1

What Is Squid Classic

Part status: Rules grounded in the literal CUDA implementation

Squid Classic is 6-max No-Limit Hold'em at 100bb deep with standard blinds, plus one rule change. The main pot winner of each hand receives a "squid" — a game-end win token. A player holds at most one squid (binary: you have it or you don't). The game continues until five of the six players each hold a squid. At that point, the sixth player — the one still at zero — is locked in as the loser, and the game terminates.

At game end, the loser pays (N − 1) × val big blinds, split evenly among the squid holders. In 6-max, that's 5 × val. The val parameter is trained at five discrete values: {1, 2, 3, 5, 10} BB. At val=3 the loser pays 15 BB total; at val=10, 50 BB.

That's the entire rule change.

The key terminology Safe: a player who already holds a squid. Cannot be the game-end loser, no matter what happens next.
Desperate: a player who holds no squid. Still at risk of being the game-end loser. Every hand is a chance to climb out of that state by winning a pot.

Why this rule reshapes everything

In Cash NLHE, every hand is independent. Each decision is a chip-EV calculation: what's the expected value of calling, raising, or folding given opponent ranges? Nothing about past or future hands enters the math.

In Squid Classic, each hand carries a second dimension of EV — the change in your "squid equity," the probability-weighted reduction in your risk of being the game-end loser. Winning a pot gains squid equity (you're now safe, permanently). Not winning leaves you exposed — someone has to be the one player without a squid at game end, and any hand you don't win is a hand where that outcome gets slightly more likely. This forward-looking term layers on top of the standard chip EV.

The consequences propagate through every decision in the game:

What "compounds" and what doesn't

One clarification that matters, because it's easy to get wrong: the penalty does not compound per hand. At val=3, folding does not cost you 3 BB every time you fold. It costs you nothing directly. What changes is the probability that you end up as the last zero-squid player at game end — and if that happens, you pay 15 BB once, at game end, not 15 BB per fold.

The "squid equity" term is a forward-looking expectation based on that probability. It grows when opponents win pots (fewer safe seats remain); it shrinks to zero the moment you win a pot yourself. It's smooth over the course of the game, not stepwise per hand. If you've read anything elsewhere that describes Squid Classic as having a per-fold penalty or a compounding cost, that description is wrong — it's mixing up Classic mode with Blood Battle mode (a different Squid variant this manual does not cover).

A word on the label "desperate"

In this manual, "desperate" means no squid — the player still at risk of being the loser. "Safe" means has squid — the player who cannot be the loser. Some of our internal research notes used the opposite convention for a while (calling squid-holders "desperate") because they inherited a framing that described the game as a per-fold penalty; under that framing, squid-holders would be the ones carrying the most accumulated cost. That framing was wrong. Squid is a win token, not an accumulated loss, so squid-holders are the safe ones. The data in every chart and table in this manual is interpreted under the corrected labels.

Where the rules come from

This chapter is grounded in the literal CUDA implementation of Squid Classic at squid_utils_opt.h, cross-checked against the training reward code in reward_engineer.cc. The training reward is a faithful implementation of the Classic rules — the model learned the literal game, not a simplified approximation. Any strategic behavior the model displays is a response to the actual game mechanics described above.

Full rules reference: GAME-RULES.md in the source research folder.

Part 2

Preflop

Part verification: 3 of 3 mechanisms model-verified · 1 with weaker alternatives at val=10 (M2) · all multi-checkpoint cleared

Squid Classic changes the preflop math in a specific way. Every hand is still a chip-EV decision, but it now carries a second term: the change in your chance of ending the game as the one player without a squid. Win pots and that chance goes to zero. Don't win pots and the chance stays non-zero — and someone has to be the loser. That forward-looking "squid equity" term is what moves ranges.

The size of the move depends on three things: the val parameter (how big the game-end payout is), your own squid state, and the squid state of every opponent at the table. This part catalogues what the solver does across all three dimensions, plus how the BB reads the opener's state when deciding how to defend.

2.1 — Every position widens. The gradient amplifies.

M1 · Squid Equity Maximization Multi-checkpoint cleared

Here's the first thing the solver does differently in Squid Classic. Same positions, same stack depth, same rake — the only thing added is the chance to win a squid at the end of each hand.

Preflop VPIP by position at every trained val. "Cash" is standard NLHE (no squids). The val parameter is the game-end payout per squid, trained at {1, 2, 3, 5, 10} BB.

PositionCashval=1val=3val=10Cash→v3 Δ
UTG17.2%18.5%25.6%50.6%+8.4pp
MP22.9%21.8%29.2%55.2%+6.3pp
CO28.1%31.5%42.9%76.4%+14.8pp
BTN43.3%47.0%67.1%89.3%+23.8pp
SB57.9%85.8%99.6%100.0%+41.7pp

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

Same data, visualized as grouped bars across the three most important columns. The asymmetric widening is easier to see here: late positions gain much more from the squid-equity term than early positions.

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

Four things jump out:

The button plays two out of every three hands at val=3. BTN VPIP is 67.1% — up from 43.3% in Cash. At val=10 it's 89.3%. You're not deviating from standard ranges; the ranges themselves have moved.

The small blind stops folding. SB goes from 57.9% (Cash) to 99.6% at val=3 and saturates at 100% by val=10. Whatever SB has been dealt, it's entering the pot.

The widening is biggest in late position. UTG adds 8.4pp at val=3. BTN adds 23.8pp. SB adds 41.7pp. Late positions already had the highest chip-EV baselines in Cash — when the squid-equity term layers on top, it compounds most with positions that already had the best starting point.

The position gradient is preserved in direction. Cash runs UTG 17% → BTN 43% → SB 58%. Squid v3 runs UTG 26% → BTN 67% → SB 99.6%. Same monotonic shape, amplified magnitudes.

Based on general poker theory Late positions have better postflop information, fewer remaining hands to worry about, and more flexibility to steal blinds. All three reasons made their Cash ranges wider than early-position ranges. The squid-equity term doesn't replace those reasons — it adds to them. UTG widens the least because UTG's core constraint (playing out of position against five hands) is unchanged; the squid-equity term can't fix a fundamentally bad multiway out-of-position spot.

2.2 — Limping comes back. SB limps almost everything.

M2 · Low-Cost Pot Entry Multi-checkpoint cleared

In modern Cash NLHE, open-limping is dominated. The solver raises or folds; limping gives up initiative without buying anything back. Squid changes that — because the squid-equity term doesn't require you to win the pot with a raise, just to win the pot.

Preflop limp % by position. SB limp % is "complete + check" since SB has already posted 0.5bb.

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

Two numbers are the headline. SB limps 98.3% of hands at val=3. SB barely ever raises in Squid — the limp (plus hoping to win the pot cheaply) dominates every other action for essentially the entire range. And at val=10, 99% of CO's entered hands are limps (75.5% limp out of 76.4% VPIP). As the game-end stakes grow, CO pivots from "widen by raising more" to "widen by limping more."

Based on general poker theory Limping wins the same squid a raise wins, but with much less chip invested. For a marginal hand — too weak to reliably fold out opponents with a raise, but not so weak that folding is automatic — limping is the minimum-cost way to take a shot at the squid. SB in particular has the cheapest limp in the game (0.5 BB to complete, no opponents left to act behind it except BB) and the worst possible fold equity (BB defends wide because BB has the best pot odds). SB limping is the clearest "pay minimum, try to win" spot at the table.
The rule of thumb If you see a BTN limp in Squid, it's not a leak. It's the equilibrium strategy for the middle of the BTN's widened range. Same for CO at 15.5% and SB at 98.3% — limping is solved, not sloppy.

2.3 — When hero is safe, ranges tighten toward Cash (suggestive, not a clean control)

M1 · Squid Equity Maximization (val-scaling is the primary support)

M1 ("every hand is a chance to win a squid, so ranges widen in pursuit of squid-equity") is supported by two robust pieces of measured evidence in the sections above: the val-scaling on CO (Cash 28.1% → v3 42.9% → v10 76.4%, measured at legal game states) and the position-gradient amplification (UTG narrows, BTN and SB widen more aggressively). Those are what make the mechanism testable.

There's a third piece of evidence that's often cited as the "critical control" for M1 but deserves a methodology asterisk when you look at what's actually being measured. The research queried hero's VPIP at a specific per-seat squid configuration where hero holds a squid and every one of hero's five opponents also holds a squid. At that configuration, the solver responds:

Hero-has CO at val=3, 0 "desperate" opponents: VPIP = 26.7% (Cash baseline 28.1%; delta 1.4pp).

Source: squid-deltas.md line 163

Taken at face value, this number looks like a clean confirmation: hero plays near-Cash when surrounded by safe opponents, which would directly confirm that the widening in §2.1 is driven by hero's own squid-equity incentive rather than a general "Squid mode" effect.

The asterisk: this configuration is not a legal in-game state. Classic mode allows at most N − 1 = 5 squids in play at any moment (once the fifth is distributed, the game ends and the zero-squid player is the loser). "Hero has 1 squid + all 5 opponents each hold 1 squid" sums to 6 squids, which violates the rule. The source acknowledges this at squid-deltas.md:169:

a state the training pipeline fed to the model as an input feature even though it may not correspond to a legal in-game state under the strict N−1 total squids rule

The individual per-seat squid_count feature values (0 or 1) are each in the training distribution — the model has seen seats at both values thousands of times. What may not have been in training is the combination of six seats simultaneously at squid_count = 1 during a live hand. Depending on how the training pipeline was structured — which R21 audit open-question 5 flags as unresolved — the model's response at this configuration is either a learned policy for synthetic per-seat configurations that the pipeline injected as input features, or an extrapolation into a game state it never actually played through.

How to read the 26.7% number It's consistent with M1's "hero plays Cash when safe" prediction, but it isn't a clean experimental control because the state it measures isn't physically reachable. The cleaner support for M1 is the val-scaling data from §2.1, which is measured at legal game states across the full {Cash, v1, v2, v3, v5, v10} grid. Treat the 26.7% measurement as corroborative evidence, not the load-bearing test.
The rule of thumb still holds directionally When you already have a squid, you don't need to fight for every pot, and hero-has ranges are consistently tighter than hero-desperate ranges. The exact "back to Cash" equivalence is what the caveat softens — the magnitude of "how far back to Cash" at the 0-desperate extreme is uncertain because that specific configuration isn't physically reachable. The 1/2/3-desperate rows in §2.4 Table B are the legal measurements, and those show the monotonic tightening pattern cleanly.

2.4 — State dynamics: who's safe, who's desperate, and how hero reacts

M6 · State-Dependent Range Adaptation Multi-checkpoint cleared

This is the biggest departure from Cash theory. In Squid, hero's optimal range is not just a function of cards + position — it's a function of cards + position + hero's own squid state + each opponent's squid state.

A quick terminology note before the tables. "Safe" means a player who already has a squid — they cannot be the game-end loser. "Desperate" means a player without a squid — they're still at risk. The tables below use these labels throughout.

Table A — Hero desperate (no squid), CO position at val=3.

# safe opponentsHero VPIP
0 (fresh table — nobody has squids yet)42.9%
156.0%
274.9%
3 (hero-last — only hero still desperate)88.8%

Source: squid-deltas.md lines 150–160

Table B — Hero safe (has squid), CO position at val=3.

# desperate opponentsHero VPIPPhysically-reachable?
026.7% (≈ Cash 28.1%)❌ implies 6 squids total (max is 5) — see §2.3
121.4%⚠ exactly 5 squids = the game-end moment
217.2%✅ legal mid-game state
312.9%✅ legal mid-game state

Source: squid-deltas.md lines 163, 379–384

State legality note: Classic mode has at most N−1 = 5 squids in play at any moment. "Hero has squid + N desperate opponents" implies total squids = 1 (hero) + (5−N) safe opponents = 6−N. The 0-desperate row requires 6 squids (impossible); the 1-desperate row is exactly 5 squids (the terminal game-end state); the 2- and 3-desperate rows are 4 and 3 squids respectively, which are legal mid-game states. The 2- and 3-desperate rows are the cleanest measurements in this table; the 0- and 1-desperate rows are either non-physical or at the game-boundary and should be read with the §2.3 caveat in mind. The data pattern "hero tightens as desperate-opponent count grows" is still directionally supported by the legal rows alone.

Both tables on a single chart. The combined range runs from 12.9% to 88.8% — a 75.9 percentage point spread from the same position, same cards, same val, driven entirely by the squid state of hero and opponents.

Source: squid-deltas.md lines 150–160, 163, 379–384

The pattern in each table is different but internally consistent:

When hero is desperate, more safe opponents means hero plays wider. Why: safe opponents can afford to fold, so hero has fold equity against them. Hero uses that fold equity to take down pots and grab a squid. At hero-last (3 safe opponents), hero enters 88.8% of hands — hero has to win this pot soon or become the loser, and the safe opponents will actually fold to aggression.

When hero is safe, more desperate opponents means hero plays tighter. Why: desperate opponents won't fold to aggression (they need the pot), so hero has no fold equity. At the same time, hero doesn't need to win this pot — hero is already safe. The rational move is to play only strong hands and realize chip EV, not burn chips on marginal spots against opponents who will call anything.

When hero is safe and nobody is desperate, the game is Cash. Hero-safe with 0 desperate opps plays 26.7% VPIP, within 1.4pp of Cash 28.1%. The squid-equity term contributes nothing on either side of the table.

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 tell you whether to widen or tighten, and by how much.

2.5 — BB reads the opener's state too

The per-seat squid awareness runs in both directions. BB adjusts its defense based on whether the CO opening has a squid or not.

BB defense vs CO 2.5bb open, val=3.

Opener's stateBB defense %BB 3-bet %
Fresh CO (no squid — desperate opener)95.8%30.2%
Squid-holding CO (safe opener)81.1%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 — the widening effect from M1 is off for that seat. So a safe CO's opening range is effectively Cash-shaped (tighter and stronger than a desperate CO's Squid range). BB reads this correctly and defends less wide against it.

The 3-bet drop (−23.9pp) is larger than the raw defense drop (−14.7pp). Against a wider opener, 3-betting picks up fold equity from the marginal hands in the opener's range; against a tighter one, there are fewer marginal hands to fold out and more value hands that will 4-bet back. BB correctly shifts from "3-bet to punish width" to "call or fold, don't reraise light."

The rule of thumb Playing from the BB, watch the opener's squid state. A squid-holding opener's range is close to Cash. Defend at Cash frequencies and tighten your 3-bet range against them. Against a fresh (desperate) opener, defend everything and 3-bet wide.

The mechanism registry for preflop

Three mechanisms drive the preflop patterns in this part. All three cleared the multi-checkpoint stability check in Round 17. Naming reflects the R21 rebuild, which re-derived each mechanism from the literal Classic mode rules rather than an earlier inverted framing.

MechanismStatusWhat it does
M1 · Squid Equity Maximization [T1] Every hand is a chance to win a pot and gain a squid. Marginal Cash-negative hands can be overall +EV in Squid. Primary support: the 28.1% → 42.9% → 76.4% scaling on CO and SB saturation at 99.6%, both measured at legal game states. Corroborative but softer: safe hero at 0 desperate opps plays 26.7% (≈ Cash), though this specific configuration isn't physically reachable (6 squids > 5 max) — see §2.3 caveat.
M2 · Low-Cost Pot Entry [T1-WEAK] Limping re-emerges because it's the minimum-chip way to take a shot at winning a squid. Zero in Cash except SB; grows to 75.5% on CO at val=10 and 98.3% on SB at val=3. Tagged [WEAK] because the val=10 extreme may be confounded with fold-equity saturation.
M6 · State-Dependent Range Adaptation [T1] Hero's range depends on hero's own squid state AND each opponent's. Fold equity is high against safe opponents and low against desperate ones. The 12.9% ↔ 88.8% VPIP spread comes from this mechanism.

Source: hypotheses-and-mechanisms.md §§M1, M2, M6 · causal-explanations.md §§M1, M2, M6

M8 (Desperation Polarization) — the mechanism behind the hero-last row's raise-everything behavior — is covered in depth in Part 6 because it's specifically about pocket-pair thresholds and hand-level raising structure, not about whether to enter.

The val parameter is a dial, not a switch

One more view of the same data. The val parameter controls the game-end payout, and CO's VPIP scales smoothly and concavely with it across all five trained values.

Val sensitivity on CO preflop opening. Cash is the no-squid baseline; val=0 is unsupported.

ValCO VPIP
Cash28.1%
131.5%
234.3%
342.9%
556.1%
1076.4%

Source: squid-deltas.md Table 1 line 68

CO VPIP across the six trained val levels. Concave growth: big jumps at low val (when the squid-equity term pushes marginal hands from fold to play), smaller jumps at high val (most hands are already in the play region).

Source: squid-deltas.md Table 1 line 68

VPIP grows concavely with val. Big jumps at low vals (Cash → val=3 adds 14.8pp); smaller jumps at high vals (val=5 → val=10 adds only 20.3pp despite the val doubling). The squid-equity term matters most at low val where it's pushing marginal hands from fold to play; at high val, most hands are already in the play region and the extra effect pushes them from raise to limp (which is covered in §2.2).

What we couldn't fully verify in Part 2

Six gaps worth naming. The first three are direct coverage limits of the source data; the next three are methodology caveats that affect how confident we should be in specific claims above.

Coverage gaps

  • MP postflop data is missing. Preflop data is complete for all five positions (UTG, MP, CO, BTN, SB), but postflop testing concentrated on CO. MP's postflop behavior is a coverage gap — any claim about MP postflop in this flagship will be flagged.
  • Limped pot postflop is a zero-data region. Limping is well-characterized as a preflop strategy (rich data), but limped-pot postflop spots have essentially zero test queries. We can tell you when and how often to limp; we can't tell you much about how to play the flop after you do.
  • Multiway coverage is almost nonexistent. The entire Part 2 analysis is built on heads-up CO vs BB measurements. The full multiway dataset in the source is a single 3-way flop c-bet test at val=3 on two boards (K72r and T98). Multiway preflop opening ranges, multiway BB defense (vs an open that's likely to get called), multiway val-scaling, and 4/5/6-way postflop behavior are all untested. Readers should treat the preflop VPIP numbers in §2.1 as "CO opening range assuming heads-up postflop against BB" rather than "CO opening range in a realistic 6-max game with multiple potential callers." Those could differ, and we don't know by how much.

Methodology caveats on specific claims

  • M2 at val=10 is partially confounded. The low-cost-pot-entry explanation for limping is solid at val=3 (limping scales smoothly with val, correlates with range width). At val=10 it may additionally be a fold-equity-saturation artifact — when BB defends 99%+, raising gains no fold equity, so limping dominates not because of the squid-equity term alone but because raising is pointless. Clean at v3, flagged at v10. This is why M2 is tagged [T1-WEAK] rather than full [T1].
  • The "safe hero plays Cash" measurement in §2.3 depends on a non-physical game state. The 26.7% VPIP at "hero has squid + 0 desperate opponents" implies 6 squids in play (hero + 5 safe opponents), which exceeds the Classic mode max of N − 1 = 5. The measurement exists because the per-seat squid_count feature values are individually in the training distribution, but the combined configuration isn't legally reachable during live gameplay. The load-bearing support for M1 is the val-scaling data in §2.1 (legal at every val level); the 26.7% number is corroborative, not a clean control. Full explanation in §2.3.
  • The causal story for hero-has tightening (§2.4 Table B) can't be cleanly distinguished from a "game-phase" alternative. Per R21 OQ4, the observation "hero tightens when more opponents are desperate" fits two explanations simultaneously: Story A (fold equity), where hero has no fold equity against desperate opponents playing anything, and Story B (game phase), where more desperate opponents implies more squids already distributed, hero is deeper into the game-end state, and the marginal value of pressing edges is lower. The research picks Story A because the corrected label direction forces it under the rules, but Story B can't be ruled out as a secondary contributor. A clean distinguishing test would hold total-squid-count constant while varying no-squid-count; that test is not in the current dataset.

The five practical preflop takeaways

  1. Every position plays wider. At val=3, expect roughly +8pp for UTG/MP, +15pp for CO, +24pp for BTN, and SB near 100% entry. At higher val, every position moves further wide.
  2. Limping is equilibrium, not a leak. BTN limps 30%, CO limps 15%, SB limps 98%. When you see it, it's the solver, not a weak player. Counter by 3-betting from BB with a wider range to punish limped ranges.
  3. Safe hero plays Cash ranges. If you already have a squid, don't reflexively widen. The widening effect is specifically about getting a squid — once you have one, the reason to widen is gone.
  4. Count the squids before every decision. Hero safe + 3 desperate opponents → tighten to 12.9%. Hero desperate + 3 safe opponents → widen to 88.8%. Same cards, completely different strategy.
  5. Watch the opener's state from the BB. A squid-holding opener has a Cash-shaped (tighter) range; defend at Cash frequencies, tighten your 3-bets. A fresh opener has a widened Squid range; defend everything and 3-bet wide.
Part 3

BB Defense

Part verification: M1 applied to BB · 1 Cash theory reversal (B2) · all multi-checkpoint cleared

The wider preflop opens from Part 2 cascade into BB's defense math. When the button plays 67% of hands in Squid (up from 43% in Cash), BB is facing a wider, weaker range — and BB's own cost of folding now carries a forward-looking squid-equity term on top of chip EV. Both effects push in the same direction: BB defends much, much wider.

The consequences are large enough to break one of the cleanest findings in Cash poker: the "BB overfolds MDF" result that's been standard theory for years. In Squid, that direction flips.

3.1 — BB defends almost every hand

M1 · Squid Equity Maximization (applied to BB) Multi-checkpoint cleared

The second-largest delta in the entire preflop-to-flop tree — bigger than every individual preflop position shift and second only to M5's monotone-board c-bet effect — is BB's defense expansion.

BB defense vs 2.5bb opens, by opener position × val. "Defense" here means call-or-raise (any non-fold action).

OpenerCashval=1val=2val=3val=5val=10
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 77–89

BB defense val scaling. The Cash → val=1 step is the largest single jump in the research — +24 to +30pp across all openers. By val=5, defense saturates near 100%.

Source: squid-deltas.md Table 2 lines 77–89

The Cash → val=1 step alone is +24 to +30pp across every opener — that's the single largest "switch to Squid at minimum penalty" effect in the research. By val=3, BB is defending 85%+ against every position. By val=5, defense saturates near 100% and stays there through val=10.

The headline: BB vs CO at val=3 is 95.8% defense — up from 51.8% in Cash. That's a +44 percentage point delta at the standard test configuration. BB is defending nearly every hand it's dealt.

This is M1 applied on the other side of the preflop raise. BB faces the same squid-equity math as the opener — folding forgoes the chance to win this pot and gain a squid. BB also has the structural advantage of already having 1 BB invested in the pot and closing the action heads-up, which makes its chip cost to defend small. Both factors combine to push the defense threshold well below what Cash theory says it should be.

The rule of thumb At val=3, your BB default vs a 2.5bb open is "defend almost everything." At val=5+, the answer is "defend literally everything." This is what the solver does at every opener position, across the trained val grid.

3.2 — What BB adds is offsuit junk

Compositional signature for M3 / M5

Here's the finding that's easy to miss but that matters for everything that happens on the flop. When BB widens its defense range in Squid, the hands it adds are overwhelmingly offsuit junk, not marginal playable hands.

BB defense composition by hand category, vs CO 2.5bb open. Reach is measured in combos (total preflop range = 1326 combos).

CategoryTotalCashval=1val=3val=10
Premium (AA–JJ, AKs, AKo, 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 423–437

The pattern is almost entirely one-dimensional. Every "quality" bucket — premium, strong, medium pair, suited Ax, suited broadway, offsuit broadway — already defends 100% in Cash. They can't grow. The suited connector and suited junk buckets move a small amount (suited connector +6 combos Cash → v1; suited junk +74 combos). Offsuit junk does essentially all of the widening. From 102 combos in Cash to 463 at val=1 to 730 at val=3 to 815 at val=10 — almost the entire 816-combo offsuit junk pool is eventually defending.

Cash → val=1 growth decomposition:

Cash → val=3 growth decomposition:

Source: squid-deltas.md lines 439–450

Why this matters for the flop. When CO c-bets on any dry, paired, or A-high board, the new-defending hands (offsuit junk like K4o, J6o, Q8o, low gappers) are exactly the hands that can't make pairs or draws most of the time. They were forced into the defense range by M1's squid-equity term, not by hand strength. On the flop, they fold. This is the compositional signature that drives Mechanism M3 (fold-equity amplification on standard boards) and Mechanism M5 (non-flush fold equity on monotone boards). Parts 4 and 5 cover the flop-side consequences in detail; this section is the reason they happen.

Based on general poker theory In Cash, BB's defense range is already tuned to the MDF/equity tradeoff — the hands that belong in it are the ones that realize equity well postflop (pairs, suited hands with draw potential, ace-blockers). The Squid widening doesn't add more of those — it adds hands that don't realize equity, because the reason they're in the range isn't equity, it's the squid-equity cost of folding. When a bet comes on the flop, those hands no longer have a squid-equity-based reason to continue (the squid-equity math is about winning this hand's main pot, and a call-or-raise is what gives BB the chance to win). They revert to Cash fold discipline.

3.3 — BB overdefends MDF. The Cash "BB overfolds" finding reverses.

B2 reversal (Cash theory → Squid)

One of the cleanest and most-cited findings in modern Cash NLHE theory is that the big blind systematically overfolds relative to the MDF (minimum defense frequency) formula. Facing a bet of size R, pure chip-EV math says BB should defend at least 1.5 / (R + 0.5) of its range to prevent the opener from auto-profiting with any two cards. Measured solver data in Cash shows BB underdefending that threshold by 7–13pp across all common raise sizes.

In Squid, the direction flips. BB overdefends MDF by roughly 40 percentage points at val=3.

BB vs CO, MDF deviation table:

RaiseMDFCash defCash devSquid v3 defSquid v3 dev
2.0bb60.0%53.0%−7.0pp99.2%+39.2pp
2.5bb50.0%39.6%−10.4pp93.5%+43.5pp
3.0bb42.9%30.0%−12.8pp84.6%+41.8pp
4.0bb33.3%22.9%−10.4pp
5.0bb27.3%15.2%−12.1pp

Source: squid-deltas.md Table 18 lines 681–695

In Cash, the deviation is consistently negative (underdefense) across all raise sizes from 2.0bb to 5.0bb — that's the "BB overfolds MDF" finding. In Squid v3, the deviation flips to positive (overdefense) and runs from +39.2pp (at 2.0bb) to +43.5pp (at 2.5bb) depending on raise size — all more than 39 percentage points above MDF. The direction has completely reversed.

Why the Cash finding existed in the first place. MDF is a pure chip-EV formula: it assumes the opener's range is random (all-bluff) and asks what defend frequency prevents auto-profit. But opener ranges are not all-bluff — they're value-heavy. Against a value-heavy range, a strictly MDF-based defense calls too many hands as bluff-catchers against too few bluffs. BB's correct defense against a realistic narrow-opener range (UTG/MP/CO) is below MDF, which is exactly what Cash solvers show.

Why Squid flips it. Two independent effects add up to push BB's defense well above MDF:

  1. The opener's range is much wider in Squid. M1 widens every preflop range, so the opener has many more bluff-candidate hands in range. Against a wider range, MDF is no longer overfit to value — it's now a lower bound that BB's correct defense exceeds.
  2. Folding carries a forward-looking squid-equity cost. BB's fold decision isn't just losing the already-invested 1 BB; it's also forgoing the chance to win this hand's main pot and collect the squid. That cost is large at higher val, and it raises BB's break-even defense threshold above MDF.

Both effects push the same direction. Squid v3+ BB should defend well above MDF vs every opener.

The R17 caveat: Cash "BB overfolds" is position-dependent

Before you go tell your friends that Squid reverses a universal Cash theory, here's the refinement Round 17 added. The Cash "BB overfolds" finding is specific to defending against narrow openers (UTG/MP/CO). Against wide openers, BB already overdefends MDF in Cash, before Squid enters the picture.

BB vs SB, 2.5bb open (SB is the widest opener in Cash at 57.9% VPIP):

ValBB defense %MDFDeviation
Cash70.9%50.0%+20.9pp (OVERdefense)
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 798–805

Against SB in Cash, BB's defense is already +20.9pp above MDF. The crossover between "BB overfolds" (narrow openers) and "BB overdefends" (wide openers) happens somewhere between BTN and SB. Squid just amplifies the overdefense direction across all positions — it doesn't create the overdefense pattern from nothing.

Refined statement: In Cash, BB defense-vs-MDF direction depends on opener width — underdefend against narrow openers, overdefend against wide openers. In Squid v3+, BB overdefends against every opener, because every opener has a wider range and because the squid-equity cost of folding pushes defense higher. The clean reversal is only clean against narrow openers; the rest is amplification.

The mechanism registry for Part 3

MechanismWhat it contributes to BB defense
M1 · Squid Equity Maximization Direct contribution. BB's fold decision carries a forward-looking squid-equity cost (same as the opener's). Drives the raw defense-% expansion from Cash 51.8% to Squid v3 95.8%.
Compositional signature for M3 / M5 Indirect consequence. The hands BB adds to its defense range are 82–88% offsuit junk — hands without equity or draw potential. This compositional shape is what CO's flop c-bet then exploits (Part 4).
B2 reversal (Cash theory) Finding, not a mechanism. The "BB overfolds MDF" Cash result reverses in Squid — cleanly against narrow openers, as amplification against wide openers (R17 caveat).

Source: hypotheses-and-mechanisms.md §M1 / B2 transfer table · causal-explanations.md §M1

What we couldn't fully verify in Part 3

  • Defense vs MP is partially sampled. Table 2 vs MP has gaps at val=1, val=5, val=10. The val=2 and val=3 values are measured, so the monotone scaling story is intact, but the higher-val saturation profile against MP is inferred rather than measured. Low-severity gap since vs CO and vs BTN both fully saturate near 100% by val=5.
  • 3-bet composition is not in this section. The 39.6% / 93.5% / 84.6% numbers are total-defense (call + raise) frequencies; the call-vs-3-bet split across val levels is documented elsewhere in squid-deltas.md but not analyzed in depth for this part.
  • The R17 caveat is tested on one wide opener (SB). The "Cash overdefense against wide openers" refinement is confirmed for BB vs SB. BTN is close to the crossover and hasn't been tested at the same fine granularity. The "crossover between BTN and SB" claim is an inference from the SB data plus the BTN Cash number (60.4%), not a direct measurement at the BTN position.

The four practical BB-defense takeaways

  1. Defend almost everything at val=3. At 2.5bb opens, BB's correct defense is 85–95% depending on opener position. At val=5+, defend literally everything. MDF is a Cash theory and does not apply.
  2. Your added hands are junk — and that's fine preflop. Offsuit hands you'd instantly fold in Cash (K4o, J6o, Q8o, T7o, low offsuit gappers) become mandatory calls in Squid. Don't second-guess this — the math isn't about the hand, it's about the squid-equity cost of folding.
  3. Don't second-guess yourself on the flop, but remember what you defended. The same junk that's a mandatory call preflop folds to flop pressure because the squid-equity term is settled once the pot is won. If CO c-bets and you have K4o on a dry K-high board, the call is correct; if CO c-bets and you have K4o on 765ss, the fold is correct. Parts 4 and 5 cover the board-specific math.
  4. The B2 "BB overfolds MDF" Cash rule is gone in Squid. It was also never fully universal even in Cash — it applied to narrow openers only, and wide-opener BB defense in Cash was already above MDF. In Squid, every position is above MDF.
Part 4

Flop C-Bet

Part verification: 3 mechanisms model-verified · 3 Cash theory shifts (G8, G3, G7) · all multi-checkpoint cleared

The flop is where the biggest Squid-specific deltas in the research live. The preflop widening (Part 2) and the BB defense expansion (Part 3) both feed into the flop, and what CO does with the c-bet depends heavily on board texture. The patterns split into four texture categories driven by mechanisms M3, M4, M5, and a texture-dependent split in the Cash slow-play theory G7.

On top of those mechanism-driven shifts, three Cash poker theories that hold in standard NLHE behave very differently in Squid: G8 (protection betting AA on dry middle boards) cleanly reverses, G3 (pocket-pair non-monotonicity on A-high) flattens out, and overbet usage on the flop grows from essentially never to ~5% of bets on dry and monotone textures.

This part walks through all of it — seven short sections, seven takeaways.

The 12 canonical test boards at a glance — CO flop c-bet frequency in Cash vs Squid val=3. Subsections 4.1–4.3 cover the mechanism-driven groups (dry/paired/A-high, M4 exceptions, monotone) in detail; the two "other connected" boards (543 and T98) are summarized here for completeness and covered in prose later.

BoardCategoryCashSquid v3
K72rDry rainbow83.6%98.1%
J72rDry rainbow86.5%98.5%
Q83rDry rainbow74.2%96.5%
A94rA-high rainbow64.9%98.4%
KK5Paired K79.3%97.6%
772Paired low71.6%91.0%
K94ssMonotone (M5)32.2%86.9%
652ssMonotone (M5)47.5%93.2%
765Mid-connected (M4)61.5%53.9%
654Mid-connected (M4)58.6%45.3%
543Other connected58.1%61.8%
T98Other connected51.6%71.7%

Source: squid-deltas.md Table 3 lines 96–107

CO flop c-bet frequency on the 12 canonical test boards, Cash vs Squid val=3. Six boards rise into the 90s (M3), three drop in Squid (M4), two monotone boards have the largest positive deltas in the research (M5). Read the bar heights as answers to "should I c-bet this board in Squid?"

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

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

M3 · Fold Equity Amplification Multi-checkpoint cleared

On standard "easy to c-bet" textures, the Squid c-bet frequency goes from already-high to near-automatic.

Cash vs Squid v3 c-bet frequencies on dry rainbow, A-high, and paired boards. 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 96–107

The pattern is consistent: Cash frequencies in the 65–85% range rise to 91–99% in Squid v3. The largest delta is on A94r: +33.5pp, because Cash c-bets are suppressed by the ace blocker logic (BB has many Ax hands that the c-bet won't fold) and Squid removes that constraint by widening BB's range with non-ace junk that folds.

Mechanism: M3 (Fold Equity Amplification). This is the payoff from the Part 3 compositional finding. BB's defending range in Squid is 82% offsuit junk — hands with no pair, no draw, no equity. On any dry rainbow, paired, or A-high board, that junk doesn't connect. CO's c-bet folds it out. The wider the BB defense range, the more the c-bet frequency grows, and the texture determines how cleanly the new junk folds.

Based on general poker theory A c-bet needs fold equity to be profitable as a bluff. Fold equity comes from hands in the opponent's range that can't continue. When the opponent's range is 82% offsuit junk on a dry board, the fold equity is enormous. This is the simplest possible application of the continuation-bet logic; Squid just amplifies an existing Cash pattern rather than creating a new one.

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

M4 · Range Advantage Reversal SRP-only · 654/765/876r only Multi-checkpoint cleared

Three specific boards break the M3 pattern entirely. On 654, 765, and 876r in single-raised pots, CO c-bets less in Squid than in Cash — including with premium hands.

Cash → val=1 delta on the M4 exception boards. The effect shows at the minimum Squid penalty and persists through higher vals.

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

Even premium hands slow down. On 765 specifically, the slow-play extends all the way up to the top of CO's range: the Premium (AA–JJ) bucket bet frequency drops from 36% (Cash) to 20% (val=1) — a −16pp drop on CO's strongest hands. CO's nuts are checking more in Squid because the board is dangerous for its range, not because the nuts are less valuable.

Source: squid-deltas.md lines 524–528

Mechanism: M4 (Range Advantage Reversal). BB's Cash→v1 additions on 654/765/876r are disproportionately low connectors and small pairs — 54s, 65s, 76s, 87s, 86s, 97s, plus 22–77. These are exactly the hands that flop two pair, straights, or strong draws on mid-connected textures. Meanwhile, CO's opening range leans toward high cards (broadway, Ax, pocket pairs mostly bigger than the board), which don't improve on 654/765/876. BB's range advantage flips from "I have fewer strong hands" in Cash to "I actually have more strong hands than CO" in Squid. CO responds by checking back.

Scope bounds — and these matter, because M4 is the only Squid mechanism with a tight scope qualifier:

Source: squid-deltas.md 3BP comparison lines 862–889

4.3 — Monotone boards: bet aggressively, despite the intuition

M5 · Monotone Non-Flush Fold Equity Multi-checkpoint cleared

Here's the finding that surprises everyone who looks at it. The most obvious instinct on a monotone board (three cards of one suit) is that BB's defense range now has many flush draws, so CO should c-bet less. The data says the opposite — monotone boards produce the largest positive c-bet deltas in the entire research.

Cash vs Squid c-bet frequencies on monotone boards, CO vs BB SRP.

BoardCashval=1val=3val=10Cash→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 32.2% → Squid v3 86.9% = +54.7pp. This is the largest positive delta in the entire research corpus — bigger than every preflop VPIP shift, bigger than every BB defense expansion, bigger than every other flop texture.

Why the intuition is wrong: BB's Squid-added defense range on monotone boards is 82–87% offsuit junk with no spade — the hands that would carry flush potential (suited connectors, suited broadways) were already defending 100% in Cash. They don't grow. What grows is the non-flush junk that the monotone texture doesn't help at all. When CO c-bets K94ss in Squid, BB's added-range hands are in the worst possible shape: they have no pair, no draw, no flush blocker, no nothing.

Source: squid-deltas.md lines 469–474 hand-level K94ss composition

Mechanism: M5 (Monotone Non-Flush Fold Equity). The texture that looks protected by draws is actually the texture where CO has the most fold equity, because the hands BB added to its defense range can't use the draws. The flush-carrying hands were already in BB's Cash defense range and are unchanged. The monotone texture is more folding-profitable than the naive intuition says, not less.

This is also the cleanest validation finding for M3's general principle that the shape of what BB added matters more than the shape of the board. On standard boards, offsuit junk doesn't hit. On monotone boards, offsuit junk also doesn't hit, but you'd guess the opposite because you're pattern-matching on "monotone = lots of flushes."

4.4 — Slow-play theory (Cash G7) splits by texture

In Cash, solver theory prescribes slow-playing premium hands on certain wet textures for pot-control reasons — the idea is that when the board is dangerous, betting invites raises and isolates against better hands, so checking is higher EV. In Squid, this Cash rule splits into two cases depending on why the slow-play existed.

Structural slow-plays survive. A slow-play motivated by structural range danger (the board is bad for your range as a whole, not just your specific hand) still makes sense in Squid:

Pot-control slow-plays collapse. A slow-play motivated by generic "I'm ahead, protect stack EV" pot control disappears in Squid because the squid-equity calculation now rewards getting chips in the pot while you have the lead:

Source: squid-deltas.md lines 615–623 G7 slow-play splits

The rule of thumb Slow-play structure, not mood. If your Cash slow-play is "because the board is dangerous for my range" (KK on K94ss without the ace of spades), keep it in Squid. If your Cash slow-play is "because I'm ahead and want to control pot size" (AA on T98), bet in Squid instead.

4.5 — Protection betting AA on 8h6d4h (Cash G8 reverses)

In Cash, solver theory says betting AA on 8h6d4h is overvalued. The expected loss of betting vs checking is roughly 7% of pot — small, but consistent. The Cash rationale: BB's calling range on 864 is draw-heavy, betting isolates against a range that has lots of equity, and the strong value hands you'd normally want to fold won't fold to a small c-bet anyway. So check, realize equity, and let BB bluff the turn.

In Squid, this theory cleanly reverses.

AA on 8h6d4h, CO vs BB SRP, bet frequency across val:

ValAA bet %
Cash0.3%
120.6%
347.4%
583.4%
1098.9%

Source: squid-deltas.md lines 589–596

From essentially-always-check (0.3%) in Cash to essentially-always-bet (98.9%) at val=10. The reversal is clean across the val grid — every step up in val, the bet frequency rises.

Why the reversal happens. Three things change from Cash to Squid on this specific board:

  1. BB's defense range is wider and junkier. Per Part 3, BB adds 82% offsuit junk to its range. On 864, those hands are mostly non-draws (overcards like Q7o, J5o, K3o). When CO bets, they fold.
  2. BB's drawing hands still get free cards on check. Checking AA lets BB's straight-draws (57s, 79s, 7x, 5x) realize their equity. In Squid, the cost of those free cards is larger because BB's postflop range is also wider on subsequent streets — equity decays faster through a widened range.
  3. Forgoing equity carries a squid-equity cost. Not winning this pot leaves AA's squid-equity term non-zero. Checking is no longer free — it's a non-zero-EV action under the forward-looking term.

All three effects push in the same direction. By val=10, the old Cash intuition is wrong by 98.6 percentage points.

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

In Cash, pocket pair bet frequencies on A-high boards show a classic non-monotonic pattern driven by blocker logic. KK checks almost always because it's a vulnerable overpair and KK-blockers are already ahead. 99 hits its set and bets almost always. The pairs in between (JJ, TT, 88, 77) show an irregular, non-monotonic pattern because blocker logic fights with raw strength.

In Squid v3, this pattern flattens. All pocket pairs bet 70–100%.

Pocket pair bet frequency on A-high board, Cash vs Squid v3.

HandCash 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

The Cash non-monotonicity (99 high, KK and 88 low, with TT/JJ somewhere in between) collapses into "bet everything 70–100%" in Squid v3. The spread of Cash bet frequencies (2.1% to 98.1% = 96pp range) compresses into a Squid spread of (70.4% to 100.0% = 29.6pp range), and the ordering is no longer the weird blocker-driven Cash ordering — it's now mostly monotone in raw pair strength.

Mechanism: Squid simplifies the bet-check decision on A-high boards. Penalty pressure (the squid-equity cost of not winning) overrides the Cash blocker logic. The Cash rule "apply blocker math to decide whether checking overpairs protects against Ax" gets replaced by "if you have any pocket pair on A-high in Squid, it has enough equity against BB's widened calling range to bet."

The rule of thumb Don't apply Cash pocket-pair-on-A-high blocker rules in Squid. Bet 70–100% regardless of which specific pair you're holding. The Cash G3 theory doesn't apply.

4.7 — Overbet usage grows

In Cash, the solver essentially never overbets the flop. The measured frequency is 0.09% of all bets — once every ~1100 bets. In Squid, overbet usage rises to about 5% of bets on dry rainbow and monotone boards. That's roughly 50–60× more frequent than Cash.

Source: squid-deltas.md lines 752–758

Mechanism: Overbets require extreme nut advantage to be profitable — the bettor needs a range that's much stronger than the opponent's. In Cash, this condition is rarely met on the flop because both ranges contain reasonable equity distributions. In Squid, the widened BB junk range creates exactly the "extreme nut advantage" structure that overbets need. On a dry rainbow board like K72r, CO's high-card and pocket pair range is much stronger than BB's 82%-junk defense range. Overbet sizing (150%+ of pot) maximizes fold equity against the junk while charging draws correctly — and it only works because the junk is truly weak.

Overbets are still rare overall — 5% of bets is far from common — but the underlying structure that makes them correct exists in Squid and doesn't in Cash.

The mechanism registry for Part 4

MechanismStatusWhat it does on the flop
M3 · Fold Equity Amplification [T1] Cash 65–85% c-bet frequencies on dry rainbow, A-high, and paired boards rise to 91–99% in Squid v3. Driven by BB's 82% junk defense range (from Part 3) that has no equity on these boards. Largest individual delta: A94r +33.5pp.
M4 · Range Advantage Reversal [T1, SRP-only] The only mechanism where CO c-bets LESS in Squid. Three boards only (876r −18.3pp, 765 −11.6pp, 654 −10.4pp Cash→v1). BB's widened range adds low connectors and small pairs that crush these textures. Reverses direction in 3-bet pots.
M5 · Monotone Non-Flush Fold Equity [T1] Counterintuitive: monotone boards show the LARGEST positive c-bet deltas, not the smallest. K94ss Cash 32.2% → v3 86.9% = +54.7pp (largest positive delta in the research). BB's added hands are 82–87% offsuit junk with no spade.

Source: hypotheses-and-mechanisms.md §§M3, M4, M5

Cash poker theories that change on the flop

TheoryCashSquidVerdict
G7 (slow-play wet boards)KK checks K94ss; AA checks 765; AA checks T98; AA checks K94ss-A♠Structural slow-plays survive (KK K94ss, AA 765). Pot-control slow-plays collapse (AA T98 → 89% bet; AA K94ss-A♠ → 97% bet).Texture-dependent split
G8 (AA protection bet on 864 overvalued)0.3% bet (check almost always)98.9% bet at val=10Cleanly reverses
G3 (pocket-pair blocker logic on A-high)Non-monotonic (2% KK, 9% QQ, 98% 99-set, 16% 88)All pocket pairs 70–100% betFlattens

What we couldn't fully verify in Part 4

  • Q73ss is tested less thoroughly than K94ss and 652ss. Per the source, Q73ss has approximate numbers ("~30% Cash → ~80% val=1, ~+55pp Cash→v3") rather than exact measurements. The monotone-texture story holds directionally, but the Q73ss magnitudes aren't cited with the same precision as the other two monotone boards and aren't included in the table above.
  • 3BP data is referenced, not fully shown. The "M4 reverses in 3BP" caveat cites squid-deltas.md lines 862-889. Part 7 (3-Bet Pots) will cover the full 3BP picture — this part just notes that the M4 scope is SRP only.

Note: an earlier version of this section flagged a source-level mis-attribution in hypotheses-and-mechanisms.md:219 that labeled the Premium (AA–JJ) bucket average (36% → 20%) as an AA-specific measurement. That source issue has been fixed; the paragraph above correctly cites the bucket average for the slow-play framing and the AA-specific hand-level numbers (0.2% → 1.5%) separately.

The seven practical flop takeaways

  1. C-bet almost everything on dry rainbow, A-high, paired boards. K72r, J72r, Q83r, A94r, KK5, 772 all hit 91–99% at val=3. Use sizes in the 2.5–3.5 BB range.
  2. On 654, 765, 876r in single-raised pots, check back more — including your premiums. BB's range on these textures is actually stronger than CO's. AA on 765 checks 98% of the time. But in 3-bet pots, the reversal reverses: bet 765 aggressively in 3BP.
  3. On monotone boards, c-bet aggressively. K94ss, 652ss, Q73ss all hit 87–94% at val=3. The flush-draw-protection intuition is wrong for the range BB is actually defending with — it's offsuit junk without a spade.
  4. Slow-play structure, not mood. If the Cash slow-play is "because the board is dangerous for my range" (KK on K94ss), keep it. If it's "because I'm ahead and want pot control" (AA on T98), bet in Squid.
  5. Bet AA on 864-type boards. Cash says check for 7% EV loss; Squid says bet 98.9% at val=10. Clean reversal.
  6. Bet all pocket pairs 70–100% on A-high boards. Cash blocker logic doesn't apply in Squid. KK, QQ, JJ, TT, 99, 88, 77 all bet 70–100% on A-high — no non-monotonic ordering.
  7. Use overbets 5% of the time on dry rainbow and monotone boards. Cash essentially never overbets the flop (0.09%). In Squid, the widened BB junk range creates the nut advantage that overbets need.
Part 5

Later Streets

Chapter status: Coming in v1

Chapter coming in v1

M7 — the wider preflop ranges compound into weaker turn and river ranges. Turn barrels drop −9 to −13pp. Turn probes drop −2 to −8pp. Limped-pot bets drop −14 to −20pp. Delayed c-bet is the exception at +12 to +17pp because checking the flop doesn't filter BB's range. River polarizes — overbet for value, fold more to check-raises (the M-XR collapse).

Part 6

Hero-Last & Desperation Polarization

Chapter status: Coming in v1

Chapter coming in v1

The hero-last configuration — hero is the only desperate player at the table, every opponent is safe. M8 (Desperation Polarization) takes over. Hero enters 88.8% VPIP but limps only 2.4%: the solver raises almost everything. Pocket-pair threshold is sharp: AA-QQ raise 100%, JJ 98%, TT 73%, 99 only 5%. Polarized, not just wide. When you're facing hero-last, fold 99 and below and raise everything above.

Part 7

3-Bet Pots

Chapter status: Coming in v1

Chapter coming in v1

M4 reverses: 765 becomes CO-favorable in 3BP. Dry board c-betting amplifies further. A-high c-bets LESS because BB's 3-bet range is Ax-heavy. The K94ss c-bet delta is even bigger in 3BP (+48.4pp vs +54.7pp in SRP). How stack-to-pot ratio changes the squid-equity math when the pot is already large preflop.

Part 8

Open Questions & Scope Limits

Chapter status: Coming in v1

Chapter coming in v1

Honest disclosure. MP postflop is a coverage gap. Limped-pot postflop is a zero-data region. M2 at val=10 is partially confounded with fold-equity saturation. M-XR tested on one board only (K72r), direction clean but generalization unknown. Classic mode only — Blood Battle and Double mode out of scope. EV-field usage requires per-property care. And six open questions flagged for the research team.

Part 9

Actionables Summary

Part status: 24 practical takeaways, consolidated reference sheet

Twenty-four practical takeaways from the full strategy manual, compressed into a single reference sheet. Each is sourced from the body of the research — for the data behind any takeaway, follow the part reference.

Status notes: Parts 1–4 are published in this draft. Takeaways from Parts 5–8 (Later Streets, Hero-Last, 3-Bet Pots, Open Questions) are included here for completeness; the parts themselves will be filled in after the initial review pass.

Preflop (Part 2)

  1. Expect wider ranges at every position. At val=3, add roughly +8pp for UTG/MP, +15pp for CO, +24pp for BTN, and SB near 100% entry. At higher val, every position moves further wide. Source: Part 2 §2.1
  2. Limping is equilibrium, not a leak. BTN limps 30% at val=3, CO limps 15%, SB limps 98%. When you see it, it's the solver, not a weak player. Source: Part 2 §2.2
  3. If you're safe, tighten — but don't assume exactly Cash ranges. Once you have a squid, the reason to widen is gone, and hero-has ranges are consistently tighter than hero-desperate ranges across the tested configurations. The specific "safe hero at 0 desperate opps plays 26.7% (≈ Cash 28.1%)" measurement is suggestive but depends on a non-physical state configuration (6 squids > 5 max); the direction is solid but the exact "how far back to Cash" magnitude has a methodology asterisk. Source: Part 2 §2.3 — read the full caveat before applying this in a high-stakes spot.
  4. Count the squids before every decision. Hero safe + 3 desperate opponents → tighten to 12.9%. Hero desperate + 3 safe opponents → widen to 88.8%. Same cards, completely different strategy. The 75.9-point spread is driven entirely by table state. Source: Part 2 §2.4
  5. Watch the opener's state from the BB. A squid-holding opener has a Cash-shaped (tighter) range — defend at Cash frequencies and tighten your 3-bets. A fresh opener has a widened Squid range — defend everything and 3-bet wide. Source: Part 2 §2.5

BB Defense (Part 3)

  1. Defend 95%+ at val=3 across the board. At 2.5bb opens, BB's correct defense is 85–95% depending on opener position. At val=5+, defend literally everything. Source: Part 3 §3.1
  2. Your added hands are offsuit junk — and that's fine preflop, but remember it on the flop. 82–88% of the hands BB adds to its defense range are offsuit junk (K4o, J6o, Q8o, T7o, low gappers). They're mandatory calls preflop because of the squid-equity cost of folding, but they fold to flop pressure. Source: Part 3 §3.2
  3. BB overdefends MDF in Squid — the Cash "BB overfolds" rule is gone. Cash: BB underdefends by 7–13pp across all raise sizes. Squid v3: BB overdefends MDF by +39.2pp (at 2.0bb open), +43.5pp (at 2.5bb), and +41.8pp (at 3.0bb). The Cash MDF formula does not apply. Caveat: the Cash underdefend is specific to narrow openers; vs wide openers (SB), BB already overdefends MDF +20.9pp in Cash. Source: Part 3 §3.3

Flop C-Bet (Part 4)

  1. C-bet almost everything on dry rainbow, A-high, and paired boards. K72r, J72r, Q83r, A94r, KK5, 772 all hit 91–99% at val=3. Use sizes in the 2.5–3.5 BB range. Source: Part 4 §4.1
  2. Check back more on 654, 765, 876r in single-raised pots — including your premiums. BB's range on these textures is actually stronger than CO's. AA on 765 bets 0.2% in Cash and 1.5% in Squid v3. The premium (AA–JJ) bucket average drops from 36% to 20% Cash→v1 on 765. But in 3-bet pots, the reversal reverses: bet 765 aggressively in 3BP (+17.5pp Cash→v3). Source: Part 4 §4.2
  3. On monotone boards, c-bet aggressively despite the flush-draw intuition. K94ss Cash 32.2% → Squid v3 86.9% = +54.7pp (largest positive delta in the research). BB's added defense range is 82–87% offsuit junk with no spade. Same for 652ss and Q73ss. Source: Part 4 §4.3
  4. Slow-play structure, not mood. Structural slow-plays survive (KK on K94ss without A♠, AA on 765 for M4). Pot-control slow-plays collapse (AA on T98: Cash 62% → Squid 89%. AA on K94ss-with-A♠: Cash 67% → Squid 97%). Source: Part 4 §4.4
  5. Bet AA on 8h6d4h-type boards. The Cash G8 "protection overvalued" theory reverses cleanly. AA on 864: Cash 0.3% → val=1 20.6% → val=3 47.4% → val=5 83.4% → val=10 98.9%. Source: Part 4 §4.5
  6. Bet all pocket pairs 70–100% on A-high boards in Squid. The Cash G3 non-monotonic blocker logic (KK 2%, 99 98%, 88 16%) flattens out. In Squid v3, every pocket pair from 77 to KK bets between 70.4% and 100%. Source: Part 4 §4.6
  7. Use overbet sizing on dry rainbow and monotone boards. Cash essentially never overbets the flop (0.09% of bets). In Squid, overbets rise to ~5% of bets on K72r-type and K94ss-type textures — roughly 50–60× more frequent than Cash. Source: Part 4 §4.7

Later Streets (Part 5, stub)

  1. Barrel less on the turn. Despite wider flop c-bet frequencies, turn barrel frequency drops −9 to −13pp across tested barrel cards. Give up weak bluffs after the flop c-bet got called.
  2. Delayed c-bet more after checking the flop. Delayed c-bet is the exception in the later-streets story — it rises +12 to +17pp in Squid because checking the flop doesn't filter BB's range.
  3. Probe less after IP check-backs. Turn probe frequency drops −2 to −8pp. IP's check-back range is less cleanly capped in Squid than in Cash, so BB's probe gains less fold equity.
  4. Limped pots: play cautiously postflop. Limped-pot flop bets drop −14 to −20pp. Both ranges are wide and weak after a limp-limp.
  5. Facing check-raise: fold more, re-raise less. CO folds +19pp more and re-raises −37pp less facing a check-raise on K72r. Once aggression is concrete, chip-EV dominates again — squid equity alone doesn't justify calling or repopping. Only one board tested so far.

Hero-Last & Desperation Polarization (Part 6, stub)

  1. When hero is desperate and all opponents are safe, raise TT+ and broadway — fold 99 and below. Hero-last enters 88.8% of hands but limps only 2.4%. The pocket-pair threshold is sharp: AA–QQ raise 100%, JJ 98%, TT 73%, 99 only 5%. Polarized, not just wide. Don't limp.

3-Bet Pots (Part 7, stub)

  1. C-bet 765/654/876r aggressively in 3-bet pots. M4 reverses in 3BP because BB's 3-bet range is narrow and polarized (AA–TT, AK, AQs) and doesn't contain the low connectors that drive M4 in SRP. On 765 in 3BP, Cash→v3 is +17.5pp.
  2. 3-bet pot c-bets on dry boards are even more automatic than SRP. The K94ss Cash→v3 delta is +48.4pp in 3BP (vs +54.7pp in SRP). Dry rainbow boards essentially always c-bet in Squid 3BPs.
  3. Check more on A-high in 3BP. BB's 3-bet range is Ax-heavy, so A-high boards connect with it. CO's c-bet frequency on A-high is LOWER in 3BP than in SRP.

How to use this page

This is a condensed reference sheet. It's not a substitute for reading the body of the manual — every takeaway above summarizes a longer discussion with mechanism-level evidence and boundary conditions. Before applying any takeaway in a spot that feels marginal, check the full part for the scope bounds and caveats.

In particular:

  • Takeaway 10 (M4 on 654/765/876r) has both a texture scope (only those three boards, not 543 or T98 or 987r) and a pot-type scope (SRP only, reverses in 3BP). Using it outside that scope is wrong.
  • Takeaway 4 (state awareness) depends on knowing the squid state of every player at the table, which means you need to track main-pot wins through the game session, not just your own hand strength.
  • Takeaway 16 (barrel less on turn) has one exception — King-card barrels on K72r actually rise (+9.3pp). The "barrel less" rule is a mean across blanks and overcards; specific cards matter.

Further reading

Squid Classic is our proprietary variant, so there's no prior literature on the game itself. The concepts the research builds on — pot geometry, fold equity, polarization, range construction — come from modern GTO poker theory. The sources below are useful background on those foundations. None of the specific claims in this flagship are direct quotes from these works; our claims come from our own solver verification on the Squid model family.

Modern GTO treatment of No-Limit Hold'em

Foundational poker mathematics

AI and poker — peer-reviewed research