A probability is not a promise. It's a long-run estimate of how often something should happen in similar situations.
It means: in 100 comparable matches, this outcome would happen roughly 60 times. Not every time. Not this specific time. It does not mean the team will win today, the model is "sure," or that a loss means the prediction was "wrong."
Football is low-scoring and high-variance. A single goal changes everything. Red cards, deflections, weather—all of it introduces noise that no model can fully account for. Even strong probabilities lose often. That's not a flaw in the model; it's the nature of the sport.
Implied probability = 1 / odds. Example: Odds of 2.00 imply a 50% probability. Odds of 3.00 imply roughly 33%. This conversion lets you compare what the market thinks with what a model estimates.
When a model's probability is higher than the market's implied probability, it suggests an "edge." This is the logic behind value betting: find situations where the model believes an outcome is more likely than the market does, and track whether that edge holds up over time.
Useful for: comparing outcomes consistently across matches, avoiding emotional bias in decision-making, understanding uncertainty instead of ignoring it. Not useful for: chasing certainty, or believing one match "must" happen a certain way.