Data Leakage in Sports AI: How a Model Learns the Future by Accident
Learn how future results, late team news and rolling statistics can leak into football AI forecasts, with a practical timestamp checklist.
How artificial intelligence is changing sport
Plain-English explanations of prediction models, data tools and machine learning in football — what they do, how to judge them and where they fail.
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xG Explained: The Stat That Changed Football Analysis
How an expected goals model is built from thousands of past shots, why different providers give different xG, and what the number can and cannot tell you.
The Limits of AI Predictions in Football
Why even the best football models rarely give any outcome more than a strong chance, how randomness shapes goals, and what a realistic forecast looks like.
Open-Source Tools Football Analysts Use
Seven free tools behind a lot of public football analysis, from open event data to pitch plots and action-value models, with what each one is good for.
Large Language Models and Sports Journalism
How automated sports writing began, what went wrong when a newspaper chain let software write match reports, and where language models really help.
How AI Is Used in Injury Prevention
How clubs turn GPS training data into injury warnings, what one well-known study achieved with a decision tree, and why the results need careful reading.
Lab notes are on the way.