# Double-backdoor c-bet study

Published by GTO Gecko / GTO Solutions AS. Study date: September 7, 2026.

Article: https://gtogecko.com/blog/double-backdoor-cbet-study

These are selected and aggregated views of the owned precomputed library. They
are not a new solve, a complete database export, or an equilibrium certificate.
Source solver version and achieved convergence were not present in the export.

## Model and selection

Six-max no-limit Hold'em cash, BTN vs BB single-raised pot, 100bb before posting,
5.5bb flop pot, 97.5bb behind, 5% rake capped at 4bb, no ante or ICM. The pot and
current app configuration correspond to a 2.5bb BTN open, BB call and folded
0.5bb SB. BB's root allows only check. BTN actions are bet 4.1bb, bet 1.8bb,
check. Facing 1.8bb, BB can raise to 6.4bb, call or fold. Later raise options
remain in the retrieved flop tree. Sizes outside the menu were not tested.

The current report contained 1,755 board classes. Fifteen unpaired rainbow
classes were chosen in advance, with no missing boards:

- Discovery: Ks9h2d, Ks7h4d, KsJh3d, As7h4d, As9h2d, AsTh3d.
- Validation: Qs8h3d, Qs6h2d, QsTh4d, Js7h2d, Js9h4d, Js8h3d,
  Ts6h3d, Ts8h2d, Ts7h4d.

This is a purposive board matrix, not a random or representative sample. The
held-out boards belong to different high-card families from discovery. No rule
was changed after exploration to fit validation.

For each board, eligible hands are suited with both hole-card ranks absent
from the flop. Exclude made straights and any hand that can complete a straight
with just one extra card. Include a hand only if two new ranks can complete a
straight using both hole cards. All four suits must have positive reach and
aligned action EVs. On a rainbow board three suited versions have a backdoor
flush draw, while the missing-suit version does not. This yields 237 matching
rank groups and 948 exact-combo cases. Cases from one board are not independent
board observations. No eligible group had unequal reach across its four suits.

## Arithmetic and weights

Raw amounts and EVs are converted using the current app's divide-by-10 rule.
Probability vectors are stored to two decimal places. Normalize a valid vector
by its sum when rounding produces 0.99 or 1.01; do not assign missing EVs zero.
Displayed EV precision (0.001bb) is not achieved numerical accuracy.

For an exact combo h:

    bet frequency = p(bet 4.1) + p(bet 1.8)
    bet edge = max(EV(bet 4.1), EV(bet 1.8)) - EV(check)
    action loss = max(all available action EVs) - EV(selected action)

Average the three backdoor-flush versions of each rank group by their combo
reach weights and compare with the missing-suit version. Average those matched
differences within a board by group reach. Separately reported frequency means
use eligible combo reach weights. All across-board means give each board equal
weight. These are range-combo composition measures, not deal frequencies or
hero-specific matchup probabilities. They omit folded-player joint card
bunching and are never presented as bb/100 hands.

Examples from selected-hands.json:

- Ks9h2d, 8s7s: 1.570 - 1.553 = +0.017bb for best bet minus check.
- Ks9h2d, 8c7c: 1.228 - 1.234 = -0.006bb for best bet minus check.
- As7h4d, KdTd: 1.532 - 1.423 = 0.109bb small-bet loss;
  1.532 - 1.188 = 0.344bb large-bet loss.
- Ts7h4d, Ah2h: small-bet loss 1.261 - 1.146 = 0.115bb;
  large-bet loss 1.261 - 1.248 = 0.013bb.

Local loss uses the retained continuations. Changing an entire policy changes
reach and may invite opponent adaptation; this study does not evaluate that.
The preregistered screening tolerances were 0.05bb for near-equal actions and
0.10bb for a material local gap, with 0.02/0.20bb sensitivity. They are practical
study cutoffs, not solver error bounds or universal blunder thresholds.

board-summary.csv includes per-board means, reach-weighted 95th percentile,
maximum loss and fractions strictly above each threshold. Across nine held-out
boards, mean small-bet loss is 0.022085bb; mean share over 0.05bb is 16.0038%, and
over 0.10bb is 0.9259%. Quantiles describe variation among combos; they are not
confidence intervals. No selected eligible small-bet loss exceeds 0.20bb.

## Range views

The four HTML/SVG matrices show selected current BTN and BB ranges on two
example boards. Hand-class action frequencies use legal exact-combo reach
weights. Class entry weight is total reach divided by legal combinations after
board removal, not divided by a fixed six/four/twelve when cards are blocked.
Full cells preserve action mixes; hatched cells are outside the range. Grid
averages intentionally hide individual suit differences, so consult the
selected exact-combo table for the focal hands.

BB's root check has probability one in this restricted tree. Its range at both
response nodes equals the root range. Response mass is sum(reach × normalized
action probability), not a fold probability conditional on a specific hero
hand. Pair categories are mutually exclusive made-hand classifications; they
do not measure equity, nut advantage, or the strength of draws.

## Verification and limits

Independent code checked all 948 cases, 237 groups, 15 board means, the
restricted root checks and response ranges, all four range matrices (676
cells), and the key EV arithmetic. Legal cards, blocker removal, array order,
probability totals, pot accounting and units were also checked. Floating-point
ties use a 1e-9 tolerance in the positive-edge diagnostic.

The raw retrievals, hashes, frozen manifest, transformations and independent
verification scripts remain in the owner's private reproducibility bundle.
These public selections permit auditing the displayed arithmetic; they do not
let a reader independently rerun the entire proprietary retrieval. No other
positions, stacks, rake, two-tone/paired boards, multiway or tournament models
were analyzed. No turn policy or fresh convergence study was performed.

The observed betting-frequency mean increases on 15/15 boards. The change in
bet-minus-check EV is positive on 13/15 boards, only +0.004871bb across all 15.
Without achieved convergence, small EV differences should not be treated as
precise evidence that a particular suit must take one action.

Figures and range renderers were built from owned components and the selected
study results; no third-party charts were copied.
