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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.

  1. 1How to calculate implied probability from oddsp = 1 / oddsBasic2 min
  2. 2How to calculate the expected value of a betEV = p × odds − 1Basic3 min
  3. 3What is closing line value and how is it calculatedCLV = odds taken / closing odds − 1Intermediate3 min
  4. 4How system bets workcombinations = C(N, K)Basic3 min
  5. 5What is the Brier score and how is it calculatedBS = average of (p − outcome)²Intermediate2 min

Categories

Only categories with at least one published guide are shown.

Evaluation

How to check whether a model's probabilities are any good, and what “good” even means.

1 guide

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.