Fair Decimal Odds
Fair decimal odds are the reciprocal of a stated outcome probability before adding a pricing margin. They translate a probability assessment into a payout price, but fairness is conditional on that assessment being accurate rather than a guarantee that the bet will win or deliver profit.
Practical example
Illustrative example: An assessed probability of 25% corresponds to fair decimal odds of 1 ÷ 0.25 = 4.00.
Scaleo application: integration pattern
The sportsbook’s accepted-bet and settlement records remain authoritative for fair decimal odds when planning a Scaleo integration. Pass the agreed resulting player or revenue events into tracking and check the contract’s treatment of subsequent settlement corrections.
Frequently asked questions
What should you check before using fair decimal odds?
A model’s probability can be wrong, and comparing prices does not eliminate event risk or betting losses.
What is a practical example of fair decimal odds?
An assessed probability of 25% corresponds to fair decimal odds of 1 ÷ 0.25 = 4.00.
Scaleo integration reference. Verify the endpoint contract and configured features for your implementation.
Apply the term in context
For the broader operator context, read what is iGaming. Review payment processors for online casinos when tracing the player funding journey. To compare the commission assumptions in a worked scenario, calculate RevShare profitability.
See this metric live in your own program: explore iGamingXpert browse the full glossary