We rebuilt the AI Coach from scratch. One click explains how to play any spot with your whole range, a second coach breaks down a single hand with its EV, and every number comes from the solver and the pool data, never from the language model.
You only see the cards that reach showdown. So how can any MDA tool claim to know how the pool actually plays? This is the number one technical objection to mass data analysis, and almost nobody answers it in public. Here is exactly how we handle it.
GTOKiller's referral program gives you 50% credit for every friend who subscribes. Two referrals cover your full monthly subscription — in any tier. Here's the math.
The population folds 59.42% to triple barrels on the river — and at 175% pot it jumps to 70%. MDA data from 18,600+ opportunities reveals the most profitable river sizing and the board textures that break opponents the hardest.
Every time you check the flop as the preflop aggressor, you're paying a compounding tax. The MDA reveals the population over-folds to c-bets by 7–10% across textures — here's how to exploit it.
Traditional solvers solve for equilibrium. Pure exploitation is brittle. GTOKiller's engine solves a modified game that attacks your opponent's leaks while bounding your worst-case — here's the math behind it.
Traditional solvers teach you to play against a perfect opponent that doesn't exist. GTOKiller uses Mass Data Analysis to find the most profitable line against the players you actually face at the tables.