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About Data Driven Ghosting
This document describes a new method called "data-driven ghosting" that uses deep imitation learning to automatically generate ghost players in soccer matches based on tracking data. The method trains a recurrent neural network on sequences of defensive plays to model typical defensive strategies. It can then generate "ghosts" that represent where defenders should have positioned themselves according to the average league strategy or the strategy of a specific top team. This allows coaches to quantitatively analyze and compare defensive strategies at a fine-grained level.
Detailed Information
| Author: | ['Ivan Garcia'] |
|---|---|
| Publication Year: | 2020 |
| Pages: | 15 |
| Language: | English |
| Format: | |
| Price: | FREE |
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