Understand the mathematics and methodology behind football predictions — Poisson distribution, Expected Goals (xG), machine learning models, football trading strategies and value betting.
How we use Poisson distribution to predict the most likely scorelines in any football match — with worked examples and real probability tables.
Read articleHow our ML model calculates xG from shot data, feeds it into Poisson models, and generates probabilities for 1X2, Over/Under, Correct Score and more.
A complete guide to in-play and pre-match football trading: scalping, lay the draw, back-to-lay, and how to use xG data to find edges during live matches.
What value betting means, how to calculate implied probability from odds, and how to identify bets where the bookmaker has mispriced the market.
Building a powerful team strength model from historical goals data to generate accurate match outcome probabilities.
How the Elo system, originally designed for chess, can rank football teams and predict match results with surprising accuracy.
A step-by-step breakdown of how our AI generates correct score probabilities and which markets offer the best value for bettors and traders.
How to read live xG charts, the Pressure Index, and Delta Performance (Δ) to find in-play trading opportunities before the odds catch up.