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Ad,Qs,4c postflop strategy (AQ双高面, single-raised pot)

On Ad,Qs,4c (AQ双高面), Cutoff (in position) c-bets 66.4% of the time when Big Blind (out of position) checks, while Big Blind checks 100.0%. Flop range equity: Big Blind 46.4% vs Cutoff 53.6% (our deterministic seeded Monte Carlo, 180,473 samples, 95% CI ±0.23pp). All frequencies below are TexasSolver offline outputs; exploitability 0.377%.

Range-level action frequencies

Range-level frequency per action (pot 55; bet sizes annotated as % of pot)
Range / actionCheckBet 18 (~33% pot)Bet 41 (~75% pot)Bet 975 (~1773% pot)
Big Blind · OOP100.0%0.0%0.0%0.0%
Cutoff · IP (vs check)33.6%0.1%66.3%0.0%

Board reading

The A-Q double-broadway board belongs almost entirely to CO: AQ/AK/KQ/QQ class combos all live in the opening range while BB's defense largely whiffs. One of the most extreme c-bet frequency pages in this set.

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 · OOP46.4% ±0.23pp2281992912.7%)
Cutoff · IP53.6% ±0.23pp3542995515.5%)

Method: seeded Monte Carlo (180,473 samples, 95% CI ±0.23pp); 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 18 (~33% pot)Bet 41 (~75% pot)Bet 975 (~1773% pot)
226100.0%0.0%0.0%0.0%
336100.0%0.0%0.0%0.0%
44399.7%0.1%0.2%0.0%
556100.0%0.0%0.0%0.0%
666100.0%0.0%0.0%0.0%
776100.0%0.0%0.0%0.0%
886100.0%0.0%0.0%0.0%
996100.0%0.0%0.0%0.0%
43s3100.0%0.0%0.0%0.0%
54s3100.0%0.0%0.0%0.0%
65s4100.0%0.0%0.0%0.0%
76s4100.0%0.0%0.0%0.0%
87s4100.0%0.0%0.0%0.0%
97s4100.0%0.0%0.0%0.0%
98s4100.0%0.0%0.0%0.0%
A6s3100.0%0.0%0.0%0.0%
A7s3100.0%0.0%0.0%0.0%
A8s3100.0%0.0%0.0%0.0%
A9o9100.0%0.0%0.0%0.0%
A9s3100.0%0.0%0.0%0.0%
AJo9100.0%0.0%0.0%0.0%
AJs3100.0%0.0%0.0%0.0%
ATo9100.0%0.0%0.0%0.0%
ATs3100.0%0.0%0.0%0.0%
J9s4100.0%0.0%0.0%0.0%
JTo1299.9%0.0%0.0%0.0%
JTs4100.0%0.0%0.0%0.0%
K8s4100.0%0.0%0.0%0.0%
K9s4100.0%0.0%0.0%0.0%
KJo1299.9%0.0%0.1%0.0%
KJs4100.0%0.0%0.0%0.0%
KQo9100.0%0.0%0.0%0.0%
KTs4100.0%0.0%0.0%0.0%
Q9s3100.0%0.0%0.0%0.0%
QJo9100.0%0.0%0.0%0.0%
QJs3100.0%0.0%0.0%0.0%
QTs399.8%0.2%0.0%0.0%
T8s4100.0%0.0%0.0%0.0%
T9s4100.0%0.0%0.0%0.0%
Cutoff (IP, vs check) frequency by class
Cutoff (IP) action frequency per hand class
Hand classCombosCheckBet 18 (~33% pot)Bet 41 (~75% pot)Bet 975 (~1773% pot)
2266.0%0.1%93.9%0.0%
33613.0%0.0%87.0%0.0%
4430.0%0.0%100.0%0.0%
55612.5%0.1%87.4%0.0%
66623.9%0.0%76.1%0.0%
77649.8%0.1%50.1%0.0%
88698.0%0.0%2.0%0.0%
99697.0%0.1%2.9%0.0%
54s30.1%0.1%99.8%0.0%
65s418.0%0.0%82.0%0.0%
75s410.2%0.1%89.8%0.0%
76s420.0%0.1%79.9%0.0%
86s424.0%0.2%75.8%0.0%
87s424.2%0.1%75.7%0.0%
97s476.1%0.1%23.8%0.0%
98s460.1%0.1%39.8%0.0%
A2s339.9%0.1%60.0%0.0%
A3s337.0%0.1%62.9%0.0%
A4s23.3%0.3%96.5%0.0%
A5s343.9%0.2%55.9%0.0%
A6s343.5%0.1%56.3%0.0%
A7s340.2%0.1%59.7%0.0%
A8s332.5%0.1%67.4%0.0%
A9o936.1%0.1%63.8%0.0%
A9s312.5%0.1%87.4%0.0%
AA321.1%0.5%78.4%0.0%
AJo910.0%0.1%89.9%0.0%
AJs314.4%0.1%85.5%0.0%
AKo90.9%0.1%99.0%0.0%
AKs30.4%0.1%99.5%0.0%
AQo70.0%0.1%99.9%0.0%
AQs20.0%0.1%99.9%0.0%
ATo930.0%0.0%70.0%0.0%
ATs317.9%0.1%82.0%0.0%
J8s440.0%0.1%59.9%0.0%
J9s425.8%0.1%74.2%0.0%
JJ683.4%0.2%16.4%0.0%
JTo1221.6%0.1%78.2%0.0%
JTs44.7%0.1%95.2%0.0%
K6s458.3%0.1%41.6%0.0%
K7s453.5%0.1%46.4%0.0%
K8s473.6%0.1%26.3%0.0%
K9s488.8%0.1%11.0%0.0%
KJo1217.9%0.1%82.0%0.0%
KJs46.7%0.2%93.1%0.0%
KK678.5%0.2%21.3%0.0%
KQo941.2%0.1%58.7%0.0%
KQs331.4%0.2%68.4%0.0%
KTo1211.0%0.1%88.9%0.0%
KTs42.1%0.1%97.8%0.0%
Q8s322.3%0.2%77.5%0.0%
Q9s343.0%0.2%56.8%0.0%
QJo943.1%0.1%56.8%0.0%
QJs358.6%0.5%40.9%0.0%
QQ30.0%0.4%99.6%0.0%
QTo964.3%0.3%35.4%0.0%
QTs350.3%0.1%49.5%0.0%
T8s437.1%0.1%62.8%0.0%
T9s433.8%0.1%66.1%0.0%
TT680.3%0.2%19.5%0.0%

Methodology

Solver: TexasSolver (console); 400 iterations, accuracy target 0.2, exploitability 0.377% (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 Ad,Qs,4c?

66.4% (TexasSolver output at the node where Big Blind checks); correspondingly Big Blind checks 100.0% there.

How are these numbers computed? Are they GTO?

Action frequencies come from a local offline TexasSolver run (400 iterations, exploitability 0.377% — closer to 0 is closer to equilibrium); the range equities 46.4%/53.6% 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, “Ad,Qs,4c postflop strategy (AQ双高面, single-raised pot)”, pailiku.com/strategy/postflop/co-vs-bb-srp-adqs4c (2026).