chayansraj/LINHAC-2022-Data-Science-Student-Competition
Linköping Hockey Analytics Conference - LINHAC 2022 | Given the event data, generate findings/patterns related to sequences of events leading up to a particular outcome.
This project helps hockey analysts and coaches understand patterns in gameplay by predicting the success of a player's next action. It takes detailed event data from ice hockey matches, including timestamps and player locations, to identify sequences of events leading to outcomes like goals or successful zone entries. The output provides insights into which actions are likely to succeed, helping to inform strategy and player development.
No commits in the last 6 months.
Use this if you are a hockey coach or analyst looking to predict the success of player actions from detailed match event data and gain strategic insights into game dynamics.
Not ideal if you need real-time, in-game predictions or if your primary interest is in high-level team statistics rather than individual player action outcomes.
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Jupyter Notebook
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Last pushed
Nov 12, 2024
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