StatsAI Academy
Betting maths, system bets and model evaluation, explained with numbers you can check yourself. Every guide has a formula, a worked example and a section on limitations.
Start here
Guides in order: each one builds on the one before.
- 1How to calculate implied probability from oddsp = 1 / odds
- 2How to calculate the expected value of a betEV = p × odds − 1
- 3What is closing line value and how is it calculatedCLV = odds taken / closing odds − 1
- 4How system bets workcombinations = C(N, K)
- 5What is the Brier score and how is it calculatedBS = average of (p − outcome)²
Categories
Only categories with at least one published guide are shown.
Betting mathematics
What odds say about probability, how much the bookmaker keeps and how the value of a bet is measured.
Systems and combinations
How a system bet is built and paid out, one combination at a time.
Evaluation
How to check whether a model's probabilities are any good, and what “good” even means.
Tools
What the guides explain is calculated or measured here.
How we write
Every example is labelled with the kind of data it uses. Outside facts have a source, and every guide shows the date of its last real change. No ads and no promises of winnings.
- Mathematical exampleMade-up numbers, calculated exactly, to show how a formula works.
- Hypothetical simulationMany repeated random bets with a known probability.
- Historical dataReal results and odds from past matches, with a source.
- Actual StatsAI performanceNumbers from the AI model performance page, with the measured period.