We measured what happens when poker players actually train.
Across 1,043,612 hands from intermediate players over 30 days, average expected value rose by +0.061 BB / hand. For a $2/$5 player, that compounds to roughly $3,050 across a typical month of play.
EV improvement, day by day.
Same player, same stakes, measured weekly. Bars show the cohort you're viewing; the line chart compares both skill levels so the gap is visible.
What that gain looks like in dollars.
Pick the stakes you actually play. Below: dollar-equivalent EV gain per 1,000 hands at the selected stake, broken out by training duration.
Compounded over a month.
(typical recreational)
at your stake
intermediate cohort
A recreational player typically logs 5,000–15,000 hands in a month of regular play. Heavier grinders see the result scale linearly.
Variance still applies. This is expected value, not realized winnings — over short samples actual results will differ.
Why the number moves.
The mechanism is simple: closer-to-solver decisions cost fewer BB on average. We measure the gap each week and report the delta.
Drill GTO ranges
Short, gamified sessions burn the correct play into muscle memory across every preflop spot.
Measured against solver
Every decision is scored against the GTO baseline so progress is real, not vibes.
EV gain compounds
Closer to GTO means more BB / hand. More BB / hand × hands played = the projection above.
How we measured this.
Start the same study
on your own game.
Same drills, same measurement. We'll show you your own EV curve before the trial ends.
