fani-lab / OpeNTF

Neural machine learning methods for Team Formation problem.
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FInding & Creation of Datasets Regarding Team Substitution #258

Open ahmadmunim opened 2 weeks ago

ahmadmunim commented 2 weeks ago

Task: Find sources of team data and logs with regards to team substitution and whether the result of said substitution was a success or failure.

My plan: The domain I plan on selecting for this task is basketball or hockey games I will check out public apis, public datasets, research papers, and game logs for relevent data

ahmadmunim commented 1 week ago

@hosseinfani Here is what I've found that we can potentially use:

Created a website to help visualize NBA players' rotation patterns for the current season (2023-24)

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NBA Games Box Scores and Play-by-play

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Is this a good start? Are there other things I need to search? Let me know what you think.

hosseinfani commented 3 days ago

Hi @ahmadmunim These are very interesting. I think this is what we want. We could say that from t1 to t2, a set of players have changed, and the score went up (success), or down (fail).

The only concern I have is that, it is not like soccer that when a player is substituted, the player won't get back to the field (a complete substitution). Here in basketball, a player can come and go multiple times, right? a temporary substitution?