Comments (3)
Could you elaborate on how it's different to the E() function? In Glicko-1 for example, Glickman explicity gave us a function for predicting game outcomes, which was literally just Glicko-1's E() function except instad of taking just the opponent's RD into account, the function uses sqrt(RD²+RDj²). Perhaps a similar modication to Glicko-2's E() function would suffice for this issue?
Also I'm not sure if this repo is still actively maintained, there's a recent change to Glicko-2 that hasn't been implemented here yet.
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@LordVertice thanks for letting me know about the change in the algorithm, I updated the code accordingly.
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Thanks @MarianoMolina & @LordVertice , I implemented your suggestion ( both of you describe the same calculation).
You can now get the probability of player1 to win against player2 with glicko.predict(player1, player2)
or player1.predict(player2)
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Related Issues (15)
- Player definition not honoring default value settings. HOT 1
- Does not clear "matches" array for subsequent tournaments HOT 4
- doubts about volatility computation HOT 3
- Is Glicko usable for team games? HOT 1
- Add shortcut to record results of a multiple competitors race
- [Suggestion] Reduce player initialization complexity HOT 11
- [Suggestion] Change affect of races on rating, deviation, and volatility HOT 7
- Handling bonus points HOT 1
- ranking is 0
- explanation on your example HOT 1
- Issues when reaching around 200 games HOT 7
- npm version behind latest HOT 1
- Question about increased RD over time HOT 3
- Typescript
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