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Building an AI That Watches Rugby
There’s a gap in rugby data.
We’ll look at how we extracted the score and game clock from the broadcaster’s UI, how we used Whisper to transcribe referee and commentary audio, and what we learned about running these kinds of experiments cheaply and effectively. We pull together data from a range of providers — live scores, player stats, team histories — and try to tell a richer story about what’s happening on the pitch. Now I could highlight a prop’s incredible shift, or capture events that don’t show up in a stat feed — like missed penalties, scuffles, or Freddie Burns celebrating too early.
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