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Algorithm consideration about kickscore HOT 4 CLOSED

franz101 avatar franz101 commented on June 21, 2024
Algorithm consideration

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Comments (4)

amirbachar avatar amirbachar commented on June 21, 2024

The way it can be modelled, is using two additional items:

  1. decreasing the mean rating of the team linearly over time, and increasing it by a constant after each match to compensate for that.
  2. Adding a positive feature "break from last match" or a negative feature "matches in the last 2 weeks", that will be added to a each team for that match (same as Home Field)

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lucasmaystre avatar lucasmaystre commented on June 21, 2024

Agreed with @amirbachar - you can encode things like "momentum" with additional items.

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franz101 avatar franz101 commented on June 21, 2024

Thank you, will try to test it in a few weeks. Also would love to improve the speed a bit of the Python module.

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victorkristof avatar victorkristof commented on June 21, 2024

Hi @franz101, if speed is an issue for you, please note that we also have a Go implementation of the Kickscore library, which makes computations more efficient. I hope this helps!

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