6 papers
Modeling Matches as Language: A Generative Transformer Approach for Counterfactual Player Valuation in Football
Miru Hong, Minho Lee, Geonhee Jo +4
Evaluating football player transfers is challenging because player actions depend strongly on tactical systems, teammates, and match context. Despite this complexity, recruitment d…
PathCRF: Ball-Free Soccer Event Detection via Possession Path Inference from Player Trajectories
Hyunsung Kim, Kunhee Lee, Sangwoo Seo +3
Despite recent advances in AI, event data collection in soccer still relies heavily on labor-intensive manual annotation. Although prior work has explored automatic event detection…
VERSA: Verified Event Data Format for Reliable Soccer Analytics
Geonhee Jo, Mingu Kang, Kangmin Lee +3
Event stream data is a critical resource for fine-grained analysis across various domains, including financial transactions, system operations, and sports. In sports, it is activel…
EventGPT: Capturing Player Impact from Team Action Sequences Using GPT-Based Framework
Miru Hong, Minho Lee, Geonhee Jo +3
Transfers play a pivotal role in shaping a football club's success, yet forecasting whether a transfer will succeed remains difficult due to the strong context-dependence of on-fie…
Trajectory Imputation in Multi-Agent Sports with Derivative-Accumulating Self-Ensemble
Han-Jun Choi, Hyunsung Kim, Minho Lee +4
Multi-agent trajectory data collected from domains such as team sports often suffer from missing values due to various factors. While many imputation methods have been proposed for…
Contextual Sprint Classification in Soccer Based on Deep Learning
Hyunsung Kim, Gun-Hee Joe, Jinsung Yoon +1
The analysis of high-intensity runs (or sprints) in soccer has long been a topic of interest for sports science researchers and practitioners. In particular, recent studies suggest…