LearnModule X2 · The player pool

X2-L1

Adjusting to the player pool

How to start from Rail's baseline, read your own pool from your own opponents with their samples, and adjust without opening new leaks.

The exploit lab locks one tendency of the opponent on a river Rail solves on demand, keeps the rest of the opponent's strategy at the solve, and computes your best response. A lock is your read of a player, not a fact, and the lab works on the river only; the ranges rest on Rail's narrowing model.

Approximate: the ranges here are hand-written teaching ranges or rest on Rail's narrowing model, not on a solve of the whole hand. The direction is what to take away.

In this lesson

  • Start from the solve as the baseline before you adjust anything.
  • Read your own pool from the opponents panel, with the chances behind each stat.
  • Judge a pool read against the folds a bluff needs.
  • Follow an adjustment through every decision it touches.

Start from the baseline

Rail's solve is the baseline: the strategy no opponent can beat by much. An exploit is a change to it against one specific mistake, and it gives up some of that safety. Without a read, the baseline is what you play: the exploit lab measures its cost against an opponent who counters it perfectly, and on the rivers Rail checked it is tiny next to what any exploit risks.

So the order is fixed: baseline first, then one change, made where the evidence is.

Your pool, from your own hands

"The pool" means the players you actually meet. Rail has no figures about anybody else's pool, and this course quotes none: the section below sums your own opponents from the opponents panel, with the chances behind each stat. A read about a pool is the same arithmetic as a read about one player, over more chances.

The line that decides is plain: a pure bluff of half the pot needs 33.3% folds, one of the pot 50%. If your pool's folds to a c-bet sit wholly above the first, half-pot bluffs are making money against it before anything else changes.

10 bb
5 bb
40%
Alpha: folds needed
33.3%
EV if it never wins when called
+1 bbProfitable
A half-pot bluff. Set the fold rate to your own pool's number and see what the bluff earns.

Follow the change through the hand

One read changes more than one decision. When the lab locks a river opponent to fold more to bets, the best response bluffs more — and also bets its strongest hands smaller, because the big bets that used to get paid now get folded. An adjustment you make in one place and forget in the next is half an adjustment.

From Rail's exploit lab: one tendency locked on a river solved on demand, the rest of the opponent's strategy kept at the solve. The ranges rest on Rail's narrowing model.

Rules of thumb

  • Baseline first; change one thing, where the evidence is.
  • A pool read is your own opponents, with their sample.
  • Follow an adjustment to every decision it touches.

When they break

  • A different site, stake or time of day is a different pool.
  • A regular who notices your adjustment is no longer the pool.

Example hands

Examples come from two places only: your own analysed hands in this lesson's spots, and a hand Rail deals and grades itself. Never a hand from outside Rail.

From your own hands

Sign in, with analysed hands, to see examples from your own play here.

A hand Rail deals

Rail scripts this hand from the lesson's own practice, always the same one, and grades it with the analysis. Decide first, then read Rail's verdict.

Your own pool

Your opponents' tendencies from your own hands, summed over the opponents panel, with how many chances each stat had and the 95% interval that sample allows.

Practice

The lesson is mastered when every exercise below that Rail can grade is passed. Missed items come back later as review cards.

Exercise 1

Pass: 2 of 4 right

Four rivers, each with a read about the opponent locked: play what Rail's best response plays.

Exercise 2

Optional

Your own river decisions, betting first and facing bets, the costliest first.

Sign in to practise on your own hands.

Adjusting to the player pool — Learn | Rail