Implied Probability
The probability that a given price implies an outcome has of occurring. For American odds, +200 implies 33.3%, -150 implies 60%. Pure math conversion — no model needed.
Implied probability is the probability that a betting price implies an outcome will occur, computed directly from the odds. It's a pure mathematical translation — no model or opinion is involved.
For American odds: - Positive odds: P = 100 / (odds + 100). So +200 → 100/300 = 33.3%. - Negative odds: P = |odds| / (|odds| + 100). So -150 → 150/250 = 60%.
For decimal odds: P = 1 / decimal_odds. So 3.0 → 1/3 = 33.3%.
Implied probability is the foundation of every edge calculation: compare the implied probability at one venue (Kalshi) to a reference (book consensus, your own model, DataGolf baseline) and the difference is your edge. Positive edge means the venue is pricing the outcome too cheaply.
Note: a single sportsbook price's raw implied probability includes vig, so it's not a true probability estimate by that book. Use de-vigged probabilities for cross-venue comparison.
Scottie Scheffler at +500 to win the PGA Championship. Implied = 100/600 = 16.7%. If Kalshi prices him at 12¢ (implied 12%), Kalshi is pricing him 4.7 percentage points cheaper than the book — a buy signal.
By Kenny Hyder · SportsBookISH glossary
Browse the full sports betting glossary or explore all learn articles.