TDDE64 Sports Analytics

Course information

Lectures and reading material

• Introduction (Patrick Lambrix)
  • slides
  • reading material
    • Swartz T, Where Should I Publish My Sports Paper?, The American Statistician, 2018. doi, pdf
    • See reference section in slides
• Ice Hockey Analytics research at IDA (Patrick Lambrix)
  • slides - Player performance in ice hockey
  • video - Player performance in ice hockey
  • video - Ranking of players in ice hockey
  • video - Identifying Player Roles in Ice Hockey
  • reading material
    • Lambrix P, Carlsson N, Performance Metrics for Ice Hockey Accounting for Goal Importance, Linköping Hockey Analytics Conference, 11-25, Linköping, Sweden 2022. doi
    • 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
    • Lehmus Persson T, Kozlica H, Carlsson N, Lambrix P, Prediction of tiers in the ranking of ice hockey players, 7th Workshop on Machine Learning and Data Mining for Sports Analytics, 89-100, Gent, Belgium, 2020. pdf, doi
    • Sävfenberg R, Carlsson N, Lambrix P, Identifying Player Roles in Ice Hockey, 10th Workshop on Machine Learning and Data Mining for Sports Analytics - MLSA 2023, Torino, Italy, 2023. pdf, doi
• Football Analytics research at IDA (Patrick Lambrix)
  • slides - Player valuation in European football
  • reading material
    • Nsolo E, Lambrix P, Carlsson N, Player valuation in European football, 5th Workshop on Machine Learning and Data Mining for Sports Analytics, 42-54, Dublin, Ireland, 2018. pdf, doi
• Basketball Analytics research at IDA (Patrick Lambrix)
  • video - NBA game prediction and season simulation
  • slides - NBA game prediction and season simulation
  • reading material
    • Gonzalez Dos Santos T, Wang C, Carlsson N, Lambrix P, Predicting Season Outcomes for the NBA, 8th Workshop on Machine Learning and Data Mining for Sports Analytics (2021), 129-142, Virtual Conference, 2022. pdf, doi
• 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
• student presentations (2024)
  student presentations earlier years

Page responsible: Patrick Lambrix
Last updated: 2024-04-08