Sports forecasting: a comparison of the forecast accuracy of prediction markets, betting odds and tipsters

By Martin Spann, Bernd Skiera. 2009

209 citations recorded by the source corpus.

Subfields: Clinical Psychology, Economics and Econometrics, Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/729dda156c9f5981beb764c1dbf49b0d5fa93368

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Clinical Psychology

1. Achim Zeileis

In Economics and Econometrics

1. Achim Zeileis
2. Kurt Hornik
3. Torsten Hothorn
4. Susan Athey
5. Stefan Wager
6. Julie Tibshirani
7. Thomas Rusch
8. Edgar C. Merkle

In Management Science and Operations Research

1. Kurt Hornik
2. Achim Zeileis

Citations in the corpus

• How often does the best team win? A unified approach to understanding randomness in North American sport (2017, background): “accuracy in Spiegelhalter (1986). For each of the NBA, NFL, and NHL, AUC and Brier metrics suggest that predic-”
• Forecasting sports tournaments by ratings of (prob)abilities: A comparison for the EURO 2008 (2010, background): “Due to the increasing popularity of online sports betting, bookmakers odds are a type of data that is abundant and easily available and that has been successfully employed in forecasts of single matches (e.g., Vlastakis et al., 2009; Spann and Skiera, 2009; Song et al., 2007; Forrest et al., 2005b; ”