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Publications related to Sports Analytics research at LiU

2019

  • Robin Keskisärkkä, Huanyu Li, Sijin Cheng, Niklas Carlsson, Patrick Lambrix, An Ontology for Ice Hockey, ISWC 2019 Satellites - Proceedings of the ISWC 2019 Satellite Tracks (Posters & Demonstrations, Industry, and Outrageous Ideas) co-located with 18th International Semantic Web Conference (ISWC 2019), CEUR Workshop Proceedings Volume 2456, 13-16, Auckland, New Zealand, 2019. pdf
  • Per Lindström, Ludwig Jacobsson, Niklas Carlsson, Patrick Lambrix, Predicting Player Trajectories in Shot Situations in Soccer, 6th Workshop on Machine Learning and Data Mining for Sports Analytics, Würzburg, Germany, 2019. pdf
  • Carles Sans Fuentes, Niklas Carlsson, Patrick Lambrix, Player impact measures for scoring in ice hockey, MathSport International 2019 Conference, 307-317, Athens, Greece, 2019. pdf

2018

  • Daniel de Leng, Mattias Tiger, Mathias Almquist, Viktor Almquist, Niklas Carlsson, "A Second Screen Journey to the Cup: Twitter Dynamics during the Stanley Cup Playoffs", Proc. IEEE/IFIP Network Traffic Measurement and Analysis Conference (TMA), Vienna, Austria, June 2018. doi, pdf, slides
  • Dennis Ljung, Niklas Carlsson, Patrick Lambrix, Player pairs valuation in ice hockey, Machine Learning and Data Mining for Sports Analytics. MLSA 2018, Dublin, Ireland, LNAI 11330, 82-92, 2019. (workshop 2018, final publication 2019) doi, pdf
  • Edward Nsolo, Patrick Lambrix, Niklas Carlsson, Player valuation in European football, Machine Learning and Data Mining for Sports Analytics. MLSA 2018, Dublin, Ireland, LNAI 11330, 42-54, 2019. (workshop 2018, final publication 2019) doi, pdf, pdf-extended version

2017

  • Marcus Bendtsen, Regimes in baseball players' career data, Data Mining and Knowledge Discovery 31(6):1580-1621, 2017. doi


Master and Bachelor theses

  • Lindström P, Deep Imitation Learning on Spatio-Temporal Data with Multiple Adversarial Agents Applied on Soccer. LIU-IDA/LITH-EX-A--19/036--SE, 2019.
  • Sans Fuentes C, Markov Decision Processes and ARIMA models to analyze and predict Ice Hockey player's performance. LIU-IDA/STAT-A--19/001--SE, 2019.
  • Gonzalez Dos Santos T, NBA Game Prediction and Season Simulation - Statistics Applied to Sport. LIU-IDA/STAT-A--19/005--SE, 2019.
  • Nsolo E, Prediction models for soccer sports analytics. LIU-IDA/LITH-EX-A--18/021--SE, 2018.
  • Alvarsson A, The development of a sports statistics web application. LIU-IDA/LITH-EX-A--17/030--SE, 2017.



Page responsible: Patrick Lambrix
Last updated: 2019-10-04