Definition
What is value betting?
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Definition
Value betting is placing bets where your estimated probability of winning is higher than the market's implied probability after vig — i.e., the bet has positive expected value against the model's estimate, not against another book's price.
Value betting and arbitrage are the two main +EV strategies. Arbitrage relies on price disagreements between books; value betting relies on your model being more accurate than the market's. Most quant programs run value-betting via in-house models that price specific markets (cricket ball-by-ball, NBA lineup-aware) better than the broad public line. Glitch Edge's cricket + NBA modules are value-betting engines.
How value bets are found
The operator (or platform) prices a market — say, NBA winner conditional on starting lineup — at probability p. The book offers decimal odds o. If p × o > 1, the bet has positive expected value.
The hard part
Value betting requires a model that’s actually better than the market on the specific markets you bet. Not “I have a feeling” — actual sim-based or state-based pricing that beats the close. Most operators take a long time to find one.