3 papers
cs.AI2026
Modeling Matches as Language: A Generative Transformer Approach for Counterfactual Player Valuation in Football
Miru Hong, Minho Lee, Geonhee Jo +5
Evaluating football player transfers is challenging because player actions depend strongly on tactical systems, teammates, and match context. Despite this complexity, recruitment d…
cs.AI2026
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…
cs.AI2026
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…