Jd,9d,3s postflop strategy (J高两色面, single-raised pot)

On Jd,9d,3s (J高两色面), Cutoff (in position) c-bets 45.1% of the time when Big Blind (out of position) checks, while Big Blind checks 98.9%. Flop range equity: Big Blind 51.4% vs Cutoff 48.6% (our deterministic seeded Monte Carlo, 180,498 samples, 95% CI ±0.23pp). All frequencies below are TexasSolver offline outputs; exploitability 0.396%.

Range-level action frequencies

Range-level frequency per action (pot 55; bet sizes annotated as % of pot)
Range / action	Check	Bet 18 (~33% pot)	Bet 41 (~75% pot)	Bet 975 (~1773% pot)
Big Blind · OOP	98.9%	0.8%	0.3%	0.0%
Cutoff · IP (vs check)	54.9%	0.0%	45.0%	0.0%

Board reading

J-9-3 two-tone sits in the middle ground: CO owns the top end with JJ+/AJ/KJ while BB interacts heavily via J9s/T9s/98s. Mid-texture boards are where the per-hand-class table earns its keep.

Cross-check from our own engine

Range-vs-range equity and combo coverage (equity computed independently of the solver)
Range	Flop range equity	Theoretical combos	On-board combos	Board-blocker loss
Big Blind · OOP	51.4% ±0.23pp	228	195	33（14.5%）
Cutoff · IP	48.6% ±0.23pp	354	317	37（10.5%）

Method: seeded Monte Carlo (180,498 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 class	Combos	Check	Bet 18 (~33% pot)	Bet 41 (~75% pot)	Bet 975 (~1773% pot)
22	6	99.7%	0.3%	0.0%	0.0%
33	3	95.6%	2.4%	2.0%	0.0%
44	6	100.0%	0.0%	0.0%	0.0%
55	6	99.7%	0.2%	0.1%	0.0%
66	6	99.8%	0.1%	0.1%	0.0%
77	6	100.0%	0.0%	0.0%	0.0%
88	6	99.8%	0.2%	0.0%	0.0%
99	3	98.5%	1.1%	0.4%	0.0%
43s	3	94.0%	3.5%	2.5%	0.0%
54s	4	99.4%	0.4%	0.2%	0.0%
65s	4	99.7%	0.2%	0.1%	0.0%
76s	4	99.8%	0.2%	0.1%	0.0%
87s	4	99.1%	0.5%	0.4%	0.0%
97s	3	98.4%	1.3%	0.4%	0.0%
98s	3	98.7%	1.1%	0.2%	0.0%
A6s	4	99.3%	0.4%	0.3%	0.0%
A7s	4	99.4%	0.3%	0.3%	0.0%
A8s	4	99.3%	0.4%	0.2%	0.0%
A9o	9	98.9%	1.0%	0.1%	0.0%
A9s	3	99.2%	0.7%	0.1%	0.0%
AJo	9	98.4%	1.1%	0.5%	0.0%
AJs	3	98.4%	1.1%	0.6%	0.0%
ATo	12	99.0%	0.6%	0.4%	0.0%
ATs	4	99.3%	0.4%	0.3%	0.0%
J9s	3	98.3%	1.2%	0.5%	0.0%
JTo	9	99.0%	0.9%	0.1%	0.0%
JTs	3	98.7%	1.1%	0.2%	0.0%
K8s	4	99.6%	0.3%	0.1%	0.0%
K9s	3	99.5%	0.4%	0.0%	0.0%
KJo	9	98.9%	0.9%	0.2%	0.0%
KJs	3	98.6%	1.0%	0.4%	0.0%
KQo	12	97.9%	1.3%	0.8%	0.0%
KTs	4	98.3%	0.9%	0.8%	0.0%
Q9s	3	99.2%	0.7%	0.2%	0.0%
QJo	9	99.0%	0.9%	0.1%	0.0%
QJs	3	98.4%	1.2%	0.4%	0.0%
QTs	4	98.5%	1.0%	0.5%	0.0%
T8s	4	98.3%	1.1%	0.6%	0.0%
T9s	3	99.3%	0.6%	0.1%	0.0%

Cutoff (IP, vs check) frequency by class

Cutoff (IP) action frequency per hand class
Hand class	Combos	Check	Bet 18 (~33% pot)	Bet 41 (~75% pot)	Bet 975 (~1773% pot)
22	6	45.6%	0.0%	54.4%	0.0%
33	3	0.0%	0.0%	100.0%	0.0%
44	6	71.4%	0.0%	28.6%	0.0%
55	6	91.1%	0.0%	8.9%	0.0%
66	6	98.1%	0.0%	1.9%	0.0%
77	6	100.0%	0.0%	0.0%	0.0%
88	6	99.7%	0.0%	0.4%	0.0%
99	3	0.1%	0.1%	99.9%	0.0%
54s	4	48.4%	0.0%	51.6%	0.0%
65s	4	25.7%	0.0%	74.3%	0.0%
75s	4	55.2%	0.0%	44.8%	0.0%
76s	4	69.2%	0.0%	30.8%	0.0%
86s	4	76.8%	0.0%	23.2%	0.0%
87s	4	43.6%	0.0%	56.4%	0.0%
97s	3	92.3%	0.0%	7.6%	0.0%
98s	3	86.6%	0.0%	13.5%	0.0%
A2s	4	20.3%	0.0%	79.7%	0.0%
A3s	3	37.6%	0.1%	62.3%	0.0%
A4s	4	43.3%	0.0%	56.7%	0.0%
A5s	4	64.9%	0.0%	35.1%	0.0%
A6s	4	76.9%	0.0%	23.1%	0.0%
A7s	4	78.0%	0.0%	22.0%	0.0%
A8s	4	65.3%	0.0%	34.7%	0.0%
A9o	9	83.7%	0.0%	16.3%	0.0%
A9s	3	83.2%	0.0%	16.8%	0.0%
AA	6	17.6%	0.0%	82.3%	0.0%
AJo	9	49.3%	0.0%	50.6%	0.0%
AJs	3	25.6%	0.1%	74.4%	0.0%
AKo	12	53.5%	0.0%	46.4%	0.0%
AKs	4	81.9%	0.0%	18.1%	0.0%
AQo	12	34.8%	0.0%	65.2%	0.0%
AQs	4	58.4%	0.0%	41.6%	0.0%
ATo	12	45.5%	0.0%	54.5%	0.0%
ATs	4	60.3%	0.0%	39.7%	0.0%
J8s	3	100.0%	0.0%	0.0%	0.0%
J9s	3	9.7%	0.1%	90.3%	0.0%
JJ	3	7.7%	0.1%	92.2%	0.0%
JTo	9	85.6%	0.1%	14.3%	0.0%
JTs	3	75.5%	0.3%	24.3%	0.0%
K6s	4	67.9%	0.0%	32.1%	0.0%
K7s	4	73.1%	0.0%	26.9%	0.0%
K8s	4	45.0%	0.0%	55.0%	0.0%
K9s	3	98.1%	0.0%	1.9%	0.0%
KJo	9	70.2%	0.0%	29.8%	0.0%
KJs	3	41.9%	0.0%	58.1%	0.0%
KK	6	9.4%	0.1%	90.5%	0.0%
KQo	12	28.3%	0.0%	71.6%	0.0%
KQs	4	11.9%	0.1%	88.0%	0.0%
KTo	12	33.5%	0.0%	66.5%	0.0%
KTs	4	29.0%	0.0%	70.9%	0.0%
Q8s	4	63.3%	0.0%	36.7%	0.0%
Q9s	3	94.9%	0.0%	5.1%	0.0%
QJo	9	92.5%	0.0%	7.5%	0.0%
QJs	3	67.4%	0.0%	32.5%	0.0%
QQ	6	4.4%	0.0%	95.5%	0.0%
QTo	12	28.1%	0.0%	71.9%	0.0%
QTs	4	21.7%	0.1%	78.2%	0.0%
T8s	4	25.0%	0.0%	75.0%	0.0%
T9s	3	74.5%	0.0%	25.5%	0.0%
TT	6	95.6%	0.0%	4.4%	0.0%

Methodology

Solver: TexasSolver (console); 400 iterations, accuracy target 0.2, exploitability 0.396% (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 Jd,9d,3s?

45.1% (TexasSolver output at the node where Big Blind checks); correspondingly Big Blind checks 98.9% there.

How are these numbers computed? Are they GTO?

Action frequencies come from a local offline TexasSolver run (400 iterations, exploitability 0.396% — closer to 0 is closer to equilibrium); the range equities 51.4%/48.6% 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, “Jd,9d,3s postflop strategy (J高两色面, single-raised pot)”, pailiku.com/strategy/postflop/co-vs-bb-srp-jd9d3s (2026).