Canterbury
Mathematical Association
Facebook TwitterContact the Canterbury Mathematical Association if you want to discuss casino mathematics, slot RTP analysis, crash-game probability, Aviator statistics, game development or participation in one of our research projects.
We work with measurable data rather than assumptions. If you have a game history, an RTP question, a volatility model, a proposed casino mechanic or a pattern that you want to test statistically, include as much information as possible when you contact us. Clear input makes it easier to determine whether the idea can be analysed properly.
General research enquiries
Email: [email protected]
Topics: slot RTP, win rate, volatility, empirical return, statistical models
Email: [email protected]
Topics: multiplier distribution, streaks, probability testing, simulation
Email: [email protected]
Topics: payout mechanics, mathematical balance, game prototypes, simulation models
Email: [email protected]
Topics: datasets, team sessions, statistical testing, game-mechanics review
Email: [email protected]
A useful dataset should include losing and winning rounds without selectively removing inconvenient results. The sample should also use the same measurement rules throughout. For example, if a slot study records total stake and total return, those values should be available for the complete sample rather than only for winning sessions.
For crash or Aviator-style games, a round-by-round multiplier history is usually more useful than screenshots of isolated streaks. For game-development projects, include the intended RTP, payout structure, volatility target and any rules that influence the probability model.
We welcome people interested in mathematics, statistics, casino analytics, software, game mechanics and structured data collection. You can contribute by helping build datasets, checking calculations, reviewing simulations or bringing a new research question to the group.
Our aim is to understand how casino games behave through probability and measurable results. Mathematical analysis can help distinguish a real statistical signal from random variation, but it is not used to claim guaranteed future wins.
During 2026, the team is prioritising slot RTP datasets, crash-game multiplier studies, Aviator probability analysis, volatility modelling and mathematical prototypes for new casino game mechanics.
Research questions that include a clear dataset, testable hypothesis and reproducible method can be reviewed more efficiently and are easier to compare with future samples.