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Machine Learning and Data Mining for Sports Analytics [2024]

1
Sports Data Analytics: An Art and a Science
2
ETSY: A Rule-Based Approach to Event and Tracking Data SYnchronization
3
Masked Autoencoder Pretraining for Event Classification in Elite Soccer
4
Quantification of Turnover Danger with xCounter
5
Pass Receiver and Outcome Prediction in Soccer Using Temporal Graph Networks
6
Field Depth Matters: Comparing the Valuation of Passes in Football
7
Momentum Matters: Investigating High-Pressure Situations in the NBA Through Scoring Probability
8
Are Sports Awards About Sports? Using AI to Find the Answer
9
The Big Three: A Practical Framework for Designing Decision Support Systems in Sports and an Application for Basketball
10
What Data Should Be Collected for a Good Handball <italic>Expected Goal</italic> model?
11
Identifying Player Roles in Ice Hockey
12
Elite Rugby League Players’ Signature Movement Patterns and Position Prediction
13
Boat Speed Prediction in SailGP
14
Exploring Table Tennis Analytics: Domination, Expected Score and Shot Diversity
15
Performance Measurement 2.0: Towards a Data-Driven Cyclist Specialization Evaluation
16
Exploiting Clustering for Sports Data Analysis: A Study of Public and Real-World Datasets
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