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Qh,6s,2c postflop strategy (Q高干面(3bet底池), 3-bet pot)

On Qh,6s,2c (Q高干面(3bet底池)), Cutoff (in position) c-bets 10.1% of the time when Big Blind (out of position) checks, while Big Blind checks 0.0%. Flop range equity: Big Blind 65.4% vs Cutoff 34.6% (our deterministic seeded Monte Carlo, 181,347 samples, 95% CI ±0.22pp). All frequencies below are TexasSolver offline outputs; exploitability 0.105%.

Range-level action frequencies

Range-level frequency per action (pot 225; bet sizes annotated as % of pot)
Range / actionCheckBet 74 (~33% pot)Bet 169 (~75% pot)Bet 890 (~396% pot)
Big Blind · OOP0.0%37.1%62.9%0.0%
Cutoff · IP (vs check)89.9%8.2%1.6%0.4%

Board reading

A Q-high dry board in a 3-bet pot belongs to QQ/KK/AA — almost all of which sit in BB's 3-betting range. CO's JJ-77 calling hands are in the classic squeeze: enough to show down, hating the pressure.

Cross-check from our own engine

Range-vs-range equity and combo coverage (equity computed independently of the solver)
RangeFlop range equityTheoretical combosOn-board combosBoard-blocker loss
Big Blind · OOP65.4% ±0.22pp8273911.0%)
Cutoff · IP34.6% ±0.22pp747134.1%)

Method: seeded Monte Carlo (181,347 samples, 95% CI ±0.22pp); combo counts are live holdings after removing board blockers.

Solver frequency by hand class

Big Blind (OOP) frequency by class
Big Blind (OOP) action frequency per hand class
Hand classCombosCheckBet 74 (~33% pot)Bet 169 (~75% pot)Bet 890 (~396% pot)
A2s30.0%44.8%55.2%0.0%
A3s40.0%28.0%72.0%0.0%
A4s40.0%33.5%66.5%0.0%
A5s40.0%33.4%66.6%0.0%
AA60.0%43.5%56.5%0.0%
AKo120.0%33.2%66.8%0.0%
AKs40.0%13.2%86.8%0.0%
AQo90.0%28.2%71.8%0.0%
AQs30.0%33.4%66.6%0.0%
JJ60.0%57.8%42.2%0.0%
KK60.0%26.2%73.8%0.0%
KQs30.0%49.1%50.8%0.0%
QQ30.0%48.9%51.1%0.0%
TT60.0%54.9%45.1%0.0%
Cutoff (IP, vs check) frequency by class
Cutoff (IP) action frequency per hand class
Hand classCombosCheckBet 74 (~33% pot)Bet 169 (~75% pot)Bet 890 (~396% pot)
77693.0%6.5%0.3%0.1%
88695.1%4.5%0.4%0.1%
99695.0%4.5%0.4%0.1%
87s486.5%10.5%2.7%0.3%
98s487.9%9.5%2.3%0.3%
AJs494.1%4.8%0.8%0.2%
AKs496.0%2.9%0.8%0.4%
AQs371.5%27.9%0.6%0.0%
ATs497.2%2.2%0.5%0.1%
JJ695.2%4.8%0.0%0.0%
JTs497.6%2.3%0.1%0.1%
KJs495.0%2.5%2.0%0.4%
KQs352.6%34.5%9.9%2.9%
QJs347.6%38.1%12.0%2.3%
T9s496.3%2.9%0.7%0.1%
TT699.1%0.9%0.0%0.0%

Methodology

Solver: TexasSolver (console); 400 iterations, accuracy target 0.2, exploitability 0.105% (closer to 0 is closer to Nash equilibrium). Solving is done locally and offline — only data outputs ship, and the AGPL component is isolated from production code (not linked, no binary distribution). Range equity is computed independently by our own deterministic engine as a cross-check.

Sitewide methodology →

FAQ

What is Cutoff's c-bet frequency on Qh,6s,2c?

10.1% (TexasSolver output at the node where Big Blind checks); correspondingly Big Blind checks 0.0% there.

How are these numbers computed? Are they GTO?

Action frequencies come from a local offline TexasSolver run (400 iterations, exploitability 0.105% — closer to 0 is closer to equilibrium); the range equities 65.4%/34.6% are independently cross-checked by our own deterministic engine. A solve is an approximate equilibrium, not a unique answer.

Educational use; not betting advice.

Cite this page: Pailiku, “Qh,6s,2c postflop strategy (Q高干面(3bet底池), 3-bet pot)”, pailiku.com/strategy/postflop/bb3bet-vs-co-qh6s2c (2026).