Dynamic Bradley–Terry modelling of sports tournaments

By Manuela Cattelan, Cristiano Varin, David Firth. 2013

130 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Nature and Landscape Conservation, Orthopedics and Sports Medicine

View Paper: https://www.semanticscholar.org/paper/692e25e72324616232affbadc403d9d7e4499faa

How researchers see this paper

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

In Economics and Econometrics

1. Rutger Lit
2. Venkatesh Saligrama
3. Alexander Olshevsky
4. S. J. Koopman
5. Julien M. Hendrickx
6. André Lucas

In Nature and Landscape Conservation

1. Venkatesh Saligrama
2. Alexander Olshevsky
3. S. J. Koopman
4. Julien M. Hendrickx
5. Rutger Lit

In Orthopedics and Sports Medicine

1. Venkatesh Saligrama
2. Alexander Olshevsky
3. Julien M. Hendrickx

Citations in the corpus

• Minimax Rate for Learning From Pairwise Comparisons in the BTL Model (2020, methodology): “The BTL model is extremely well-studied; for a sampling of its uses, we mention its applications to an empirical analysis of sports tournaments (Cattelan et al. , 2013), measurements of pain among patients (Matthews & Morris, 1995), estimating driver crash risks (Li & Kim, 2000), and testing the…”
• Forecasting football match results in national league competitions using score-driven time series models (2019, background): “(2004) Cattelan et al. (2013) Fahrmeir and Tutz (1994) Forrest and Simmons (2000) Knorr-Held (2000) Koning (2000) Hvattum and Arntzen (2010)”
• How often does the best team win? A unified approach to understanding randomness in North American sport (2017, background): “ability problems were a team to win or lose all of its games in a single season (a rare, but extant possibility in the NFL).1 For additional and related state-space resources, see Knorr-Held (2000), Cattelan et al. (2013), Baker and McHale (2015), and Manner (2015). Additionally, Matthews (2005), Ow”