TacEleven: generative tactic discovery for football open play
Siyao Zhao, Hao Ma, Zhiqiang Pu, Jingjing Huang, Yi Pan, Shijie Wang, Zhi Ming

TL;DR
TacEleven is a novel generative framework that assists football coaches and analysts in discovering diverse, realistic, and high-quality offensive tactics during open play, leveraging multimodal language models and expert collaboration.
Contribution
The paper introduces TacEleven, a pioneering generative system combining tactical proposal generation and selection, tailored for complex football open-play scenarios, with demonstrated effectiveness in real-world tactical exploration.
Findings
52.50% of tactics rated adoptable in real-world scenarios
Effective exploration of complex tactical sequences
Strong realism and tactical creativity in generated tactics
Abstract
Creating offensive advantages during open play is fundamental to football success. However, due to the highly dynamic and long-sequence nature of open play, the potential tactic space grows exponentially as the sequence progresses, making automated tactic discovery extremely challenging. To address this, we propose TacEleven, a generative framework for football open-play tactic discovery developed in close collaboration with domain experts from AJ Auxerre, designed to assist coaches and analysts in tactical decision-making. TacEleven consists of two core components: a language-controlled tactical generator that produces diverse tactical proposals, and a multimodal large language model-based tactical critic that selects the optimal proposal aligned with a high-level stylistic tactical instruction. The two components enables rapid exploration of tactical proposals and discovery of…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsSports Analytics and Performance · Artificial Intelligence in Games · Sport Psychology and Performance
