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Sports Analytics research at LiU

Our group

The group on Sports Analytics was started recently. We are researchers from different labs at Linköping University, primarily from its Department of Computer and Information Science (IDA) with a common interest in various aspects of Sports Analytics.


Our field

Sports analytics is a growth topic for IDA.

Sports analytics deals with using data related to sports events to obtain insights about the sport and its surroundings. In our group we interpret this broadly. The insights can relate to such things as player and team performance, strategies, training, injuries, and rules of the game.


Master thesis subjects

We have several possible topics available in the field of sports analytics (particularly ice hockey).

Example topics:

  • detect complex events that lead to predefined outcomes in an ice hockey game
  • derive key stats for player performance (including minimal sets of key stats and introducing complex stats)
  • derive characteristics for successful line-ups
  • derive meaningful clusters of players
  • analyze injury data
  • build a knowledge graph for ice hockey and SHL in particular

Prerequisites:
You should have taken a data mining course (or TDDD43 for the last topic) and have an interest in ice hockey.

Contact: Patrick Lambrix.


Page responsible: Patrick Lambrix
Last updated: 2018-02-06