Abstract is missing.
- Towards Expected Counter - Using Comprehensible Features to Predict CounterattacksHenrik Biermann, Franz-Georg Wieland, Jens Timmer, Daniel Memmert, Ashwin Phatak. 3-13 [doi]
- Shot Analysis in Different Levels of German Football Using Expected GoalsLaurynas Raudonius, Thomas Seidl 0003. 14-26 [doi]
- Analyzing Passing Sequences for the Prediction of Goal-Scoring OpportunitiesConor McCarthy, Panagiotis Tampakis, Marco Chiarandini, Morten Bredsgaard Randers, Stefan Jänicke, Arthur Zimek. 27-40 [doi]
- Let's Penetrate the Defense: A Machine Learning Model for Prediction and Valuation of Penetrative PassesPegah Rahimian, Dayana Grayce da Silva Guerra Gomes, Fanni Berkovics, László Toka. 41-52 [doi]
- Evaluation of Creating Scoring Opportunities for Teammates in Soccer via Trajectory PredictionMasakiyo Teranishi, Kazushi Tsutsui, Kazuya Takeda, Keisuke Fujii 0001. 53-73 [doi]
- Cost-Efficient and Bias-Robust Sports Player Tracking by Integrating GPS and VideoHyunsung Kim 0004, Chang Jo Kim, Minchul Jeong, Jaechan Lee, Jinsung Yoon, Sang-Ki Ko. 74-86 [doi]
- Predicting Tennis Serve Directions with Machine LearningYing Zhu, Ruthuparna Naikar. 89-100 [doi]
- Discovering and Visualizing Tactics in a Table Tennis Game Based on Subgroup DiscoveryPierre Duluard, Xinqing Li, Marc Plantevit, Céline Robardet, Romain Vuillemot. 101-112 [doi]
- Athlete Monitoring in Professional Road Cycling Using Similarity Search on Time Series DataArie-Willem de Leeuw, Tobias Oberkofler, Mathieu Heijboer, Arno J. Knobbe. 115-126 [doi]