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Bayesian Analysis in Betting: How to Find Value Bets?
Bayesian analysis is a method that allows you to assess the probability of an event while taking new information into account. In betting, this could be data about player injuries, weather changes, or other circumstances that may affect the outcome of a match.
đź’ˇ Why is this important?
Bookmakers might not immediately reflect these new facts in their odds, creating opportunities for players to bet on overpriced odds. This allows bettors to benefit from situations where bookmakers haven’t yet adjusted.
🔍 How does it work?
- Example: If both tennis players have a 50% chance of winning before an injury, the injured player’s chances drop, and the opponent’s chances rise. Bayesian analysis helps recalculate these probabilities.
- Another example: In the match between Spezia and Juventus, the return of Cristiano Ronaldo changed the odds from 2.03 to 1.86. Bettors need to act quickly and place bets on Juventus before the odds drop too much.
🧮 Bayesian Formula
- X — Probability of the event without the new information.
- Y — Probability of the new information occurring.
- Z — Probability of the new information occurring during the event.
Formula: (X * Z) / Y = Updated probability of the event.
🔑 Conclusion
Bayesian analysis helps identify value bets — when odds are higher than the real probability. It’s one of the key tools for successful betting!