Using ELO ratings for match result prediction in association football
By Lars Magnus Hvattum, Halvard Arntzen. 2010
329 citations recorded by the source corpus.
Subfields: Clinical Psychology, Economics and Econometrics, Gender Studies
View Paper: https://www.semanticscholar.org/paper/ea3341ba7231cb9d00cafe5b80dbd4d272121660
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In Clinical Psychology
In Economics and Econometrics
- R´emi Munos
- Karl Tuyls
- Rutger Lit
- Julien Pérolat
- Jean-Baptiste Lespiau
- Marc Lanctot
- Shayegan Omidshafiei
- Dominik Schreyer
In Gender Studies
Citations in the corpus
- Forecasting football match results in national league competitions using score-driven time series models (2019, methodology): “We refer to the original work of Irwin (1937) and Skellam (1946) for the derivation of the Skellam distribution based on the differences between two independent Poisson distributions.”
- α-Rank: Multi-Agent Evaluation by Evolution (2019, methodology): “The Elo rating system has ubiquitously been used for ranking and predicting outcomes in board games [94], sports [95–99], and artificial intelligence [3, 100].”
- Elo Ratings and the Sports Model: A Neglected Topic in Applied Probability? (2017, methodology): “For the cycle model, and the Ornstein–Uhlenbeck model with larger τ , we see numerically that the optimal value of δ for σ = 1 is around twice the optimal value for σ = 0.5.”
- Eliminating Supportive Crowds Reduces Referee Bias (2021, background): “…when including 3Elo ratings, originally proposed by Elo (1978) for chess players and tournaments, are commonly used to estimate the strengths and form of football teams, both in practical applications (e.g., https://www.eloratings.net/) and in academic research (e.g., Hvattum and Arntzen, 2010).”