FanPick Блог
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Feature Engineering for Football Prediction Models — The Inputs That Actually Matter
Learn how to engineer features for football prediction models. Time-decay form, strength-of-schedule, Elo ratings, and the 10 features every model needs to beat the market.
26 июня 2026 г.
Expected Threat (xT) — The Football Analytics Metric That Values Every Touch
Expected goals only values shots. Expected Threat (xT) values every pass, dribble, and carry on the pitch. Learn how this Markov chain model predicts football better than xG alone.
24 июня 2026 г.
Logistic Regression for Football Predictions — The Foundation Every Model Needs
Learn how logistic regression powers football prediction models. From the sigmoid function to win/draw/loss probabilities, this guide breaks down the math that drives match forecasting.
22 июня 2026 г.
Advanced Football Statistics Beyond xG — The Metrics That Actually Predict Match Outcomes
Expected goals is just the start. Learn PPDA, field tilt, progressive passes, xAG, and the advanced metrics that professional analysts use to predict football outcomes.
22 июня 2026 г.
How to Read Betting Odds and Convert Them into Probabilities
Learn to convert decimal, fractional, and American odds into implied probabilities. Find value bets, understand the overround, and make sharper predictions.
21 июня 2026 г.
The Kelly Criterion for Football Predictions — Optimal Bet Sizing for Maximum Growth
Learn how the Kelly Criterion sizes football prediction bets for maximum bankroll growth. Formula, worked examples, fractional Kelly, and a practical workflow.
19 июня 2026 г.
Bayesian Methods for Football Predictions — How to Update Your Beliefs with Data
Learn how Bayesian inference transforms football predictions. From Bayes' theorem to MCMC sampling, build models that update beliefs with every match result.
18 июня 2026 г.
Ensemble Methods for Football Predictions — Combining Models for Better Accuracy
Learn how to combine Poisson, Elo, xG, and market odds into a single prediction ensemble. Practical framework with real accuracy data from football analytics research.
17 июня 2026 г.
How to Build a Football Prediction Model — A Step-by-Step Framework
Complete framework for building a football prediction model from scratch. Covers data collection, feature engineering, Poisson/Elo/ML approaches, ensemble methods, backtesting, and calibration.
15 июня 2026 г.
Machine Learning vs Traditional Statistics — Which Predicts Football Better?
Neural networks, gradient boosting, or Poisson models? We compare ML and statistical approaches for football prediction using 2026 research data.
14 июня 2026 г.
Monte Carlo Simulation for Football Predictions — How to Simulate Matches and Tournaments
Learn how Monte Carlo simulation predicts football match outcomes. Simulate thousands of matches, build probability distributions, and make smarter predictions for World Cup 2026.
13 июня 2026 г.
How to Use Elo Ratings for Football Predictions — A Complete Guide
Learn how Elo ratings predict football match outcomes. FIFA’s ranking formula, probability calculations, and practical tips for smarter predictions.
12 июня 2026 г.