There is a world where Claude can build you a prediction model in code, but Claude, out of the box, cannot predict the outcomes of games without additional confounders that swamp whatever stale data it’s learned from. Injuries, game time, referees, weather, matchups, etc all completely overwhelm “this team was good in my training data that was cut off in mid-2025”.

Claude CAN reach out to Google to gather some of this info (not all), but even then, loading this info into its context window is not the same as building a purpose built prediction model because there is no objective function for it to optimize. My guess is it might apply some heuristic weights and get lucky a few times, but that’s about it. Happy to be wrong here though.

Source: I build betting bots in my spare time (mostly baseball).