Agentic data science with the Data Agent Kit
cloud.google.com·8h ago
AI Research
arXiv CS.AI·Aug 15·5 min read
H-VAEP and H-xT: Valuing Offensive On-the-Ball Actions in Handball by Estimating Probabilities
TL;DR
H-VAEP and H-xT are new frameworks for evaluating offensive actions in handball, adapting concepts from soccer analytics. These models provide stable and intuitive player ratings, emphasizing the importance of build-up play.
✦ Why It Matters
Professional handball teams can adopt H-VAEP and H-xT to enhance player evaluation and strategy development today.
Key Takeaways
- Implement H-VAEP for more accurate player evaluations.
- Utilize H-xT to analyze offensive actions effectively.
- Leverage tracking data for improved performance insights.
- Access the code repository for practical deployment.
How It Works
H-xT uses a handball-specific court zoning layout to better capture the dynamics of play, while H-VAEP is tailored to limit team-identity leakage by optimizing its feature space and context length. This allows for a more nuanced understanding of player contributions during offensive actions.