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A Comment on the Bias of Probabilities Derived From Betting Odds and Their Use in Measuring Outcome Uncertainty

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  • Erik Å trumbelj

Abstract

Probabilities from bookmaker odds are often used in measures of short-run outcome uncertainty. We analyzed the most commonly used methods for deriving probability forecasts from odds and found that basic normalization (BN) produces biased probabilities. Furthermore, differences between probabilities produced with BN, regression models, or Shin probabilities are large enough to lead to contradictory conclusions when used to measure outcome uncertainty. We also provide evidence against the reported bias of bookmakers favoring better supported teams and show how past evidence of such a bias is possibly only due to a misinterpretation of the results.

Suggested Citation

  • Erik Å trumbelj, 2016. "A Comment on the Bias of Probabilities Derived From Betting Odds and Their Use in Measuring Outcome Uncertainty," Journal of Sports Economics, , vol. 17(1), pages 12-26, January.
    • Handle: RePEc:sae:jospec:v:17:y:2016:i:1:p:12-26
    DOI: 10.1177/1527002513519329
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    References listed on IDEAS

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    Cited by:

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    5. Peeters, Thomas, 2018. "Testing the Wisdom of Crowds in the field: Transfermarkt valuations and international soccer results," International Journal of Forecasting, Elsevier, vol. 34(1), pages 17-29.
    6. Berkowitz, Jason P. & Depken II, Craig A. & Gandar, John M., 2018. "Market evidence against widespread point shaving in college basketball," Journal of Economic Behavior & Organization, Elsevier, vol. 153(C), pages 283-292.

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