Sports Analytics, vt 2021
Lectures and reading material
This page will be updated when new info becomes available.The current slides are for 2020 and will be updated closer towards course start.
- Introduction (Patrick Lambrix)
- Ice Hockey Analytics research at IDA (Patrick Lambrix)
- slides - Player performance in ice hockey
- reading material
- Ljung D, Carlsson N, Lambrix P, Player pairs valuation in ice hockey, 5th Workshop on Machine Learning and Data Mining for Sports Analytics, 82-92, Dublin, Ireland, 2018. pdf, doi
- Sans Fuentes C, Carlsson N, Lambrix P, Player impact measures for scoring in ice hockey, MathSport International 2019 Conference, 307-317, Athens, Greece, 2019. pdf
- Football Analytics research at IDA (Patrick Lambrix)
- Basketball Analytics research at IDA (Patrick Lambrix)
- slides - NBA game prediction and season simulation
- Football Analytics at Signality (Ludvig Jacobsson)
- reading material
- Lindström, Jacobsson L, Carlsson N, Lambrix P, Predicting Player Trajectories in Shot Situations in Soccer, 6th Workshop on Machine Learning and Data Mining for Sports Analytics, 2019. pdf
- reading material
- Seeing in to the future. Using self-propelled particle models to aid player decision-making in soccer (David Sumpter)
- reading material
- Francisco Peralta Alguacil, Javier Fernandez, Pablo Pinones Arce, David Sumpter, Seeing in to the future. Using self-propelled particle models to aid player decision-making in soccer, MIT Sloan Sports Analytics Conference, 2020. pdf
- reading material
- Baseball Analytics (Marcus Bendtsen)
- reading material
- Bendtsen M, Regimes in baseball players' career data, Data Mining and Knowledge Discovery 31(6):1580-1621, 2017. doi
- reading material
- Ice hockey Analytics (Mikael Vernblom)
- student presentations (2021)
- student presentations earlier years
Page responsible: SA
Last updated: 2021-01-08