Monte Carlo Pass Search: Using Trajectory Generation for 3D Counterfactual Pass Evaluation in Football
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Summary
Researchers Andrew Kang and Priya Narasimhan proposed a method for evaluating football passes using 3D trajectory generation and Monte Carlo search. Their approach allows for counterfactual evaluation of passes, considering various scenarios.
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Related coverage
| arXiv AI | Monte Carlo Pass Search: Using Trajectory Generation for 3D Counterfactual Pass Evaluation in Football | 6/11/2026, 12:00:47 AM |
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