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PerfoRank: cluster-based performance ranking for improved performance evaluation and estimation in professional cycling
Current cycling analytics solutions do not account for the race course profile or the level of
the competition. Therefore, this paper develops a unique two-stage clustering-based ranking …
the competition. Therefore, this paper develops a unique two-stage clustering-based ranking …
Exploring Table Tennis Analytics: Domination, Expected Score and Shot Diversity
G Calmet, A Erades, R Vuillemot - … on Machine Learning and Data Mining …, 2023 - Springer
Detailed sports data, including fine-grained player, ball positions, and action types, is
becoming increasingly available thanks to advancements in sensor and video tracking …
becoming increasingly available thanks to advancements in sensor and video tracking …
Performance Measurement 2.0: Towards a Data-Driven Cyclist Specialization Evaluation
Current cycling analytics solutions do not account for either the raced course profile or the
level of the competition. Therefore, this paper suggests a two-stage approach which initially …
level of the competition. Therefore, this paper suggests a two-stage approach which initially …
Boulder2Vec: Modeling Climber Performances in Professional Bouldering Competitions
E Baron, V Hau, Z Weng - arxiv preprint arxiv:2411.02343, 2024 - arxiv.org
Using data from professional bouldering competitions from 2008 to 2022, we train a logistic
regression to predict climber results and measure climber skill. However, this approach is …
regression to predict climber results and measure climber skill. However, this approach is …