Margin-Adjusted Implied Probability
Margin-adjusted implied probability removes quoted market margin using a specified normalization or estimation method. It supports like-for-like pricing analysis, but different adjustment methods make different assumptions, so the resulting probability should not be presented as the uniquely correct chance of an outcome.
Practical example
Illustrative example: For decimal prices 1.80 and 2.00, proportional normalization gives approximately 52.63% and 47.37%.
Scaleo application: integration pattern
The sportsbook’s accepted-bet and settlement records remain authoritative for margin-adjusted implied probability 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 margin-adjusted implied probability?
State the normalization method and ensure the outcomes form the intended complete market before adjusting their probabilities.
What is a practical example of margin-adjusted implied probability?
For decimal prices 1.80 and 2.00, proportional normalization gives approximately 52.63% and 47.37%.
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