AI and Machine Learning.

AI has gone from a buzzword to a working part of the analysis bench. The interesting question is no longer whether a machine can tag a lineout or spot a missed tackle, it's how much time that saves a coach on a Sunday night and how much more a player gets to see of their own game. This topic covers the practical side of that shift: automated event tagging, model-assisted clipping, highlight generation that runs while you sleep, and the human review that keeps it all honest. We look at what the technology does well today, where it still needs a person in the loop, and how rugby can borrow from sports that have been doing this for years. If you want to understand what AI actually changes about match analysis, start here.

On the blog we go past the hype. Expect plain explanations of how event detection and clipping actually work, honest takes on where the models still get rugby wrong, and practical advice on fitting AI into a real coaching week without adding another tool nobody opens. We also track how the technology is moving, so you can tell the difference between a genuine step forward and a feature that only demos well. We also round up the tools and releases worth knowing about, so you can keep pace without reading every paper or sitting through every webinar yourself.