Collection of open sources resources
Explore casino catchment areas
Open source data
Geographic catchment
Bet-by-bet sample data
We have collected over 300m real hands of iGaming data and we are making 50k real hands available. Explore risk preferences, trend betting, different games and side-bet preferences with 50k hands of real but disguised iGaming bet-by-bet transactions.
Download here
Simulated baccarat data
Many questions are too complicated to imagine within the combinatorics or need to be tested. Available here is ~1m hands of simulated baccarat hands (eight deck shoe and roughly 2 deck cut-card).
Download here
differential_app
Changing max bets or table differentials can be nerve-wracking. Our differential app simulates typical wagering patterns to show how adjustments affect volatility, risk–reward, and drop-hold %. It also models how often players hit the differential, accounting for trend betting that amplifies swings.
win_rate_skew
House edge probability sounds simple, but traditional math is misleading. Models often rely on bell curves, which ignore real player behavior—like winners increasing bets or bankroll limits shaping outcomes. As a result, players’ actual win rates skew higher and large wins are more likely than the math suggests. Our diff_skew app simulates baccarat play under bankroll constraints, showing how expected house edge still holds but the path to it is far more volatile.
banker_six_risk
