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HomeGame Developmentalgorithm - Methods to implement Glicko-2 score system in a scalable manner?

algorithm – Methods to implement Glicko-2 score system in a scalable manner?


I’ve a multiplayer recreation that, just like chess, can have a win/tie/lose end result in a 1v1 setting.

I have been Elo versus Glicko & Glicko-2 and it appears Glicko-2 may be an excellent one to attempt to implement. Nonetheless, I’m confused on the way to construct Glicko-2 in a scalable manner.

Evidently I’ve to load all video games & gamers into reminiscence with a purpose to calculate the brand new rankings of gamers in a match.

From my understanding, the rankings/deviation are supposed to vary the longer a participant hasn’t performed… From my understanding the algorithm ‘auto’ modifications the deviation for gamers who have not performed.

Is there a form of O(1) approach to apply a glicko score to the 2 gamers of a recreation and perhaps each day run some sort of ‘decay’ on everybody’s rankings confidence (for many who have not performed) in a mathematically correct manner?

I am leaning on sticking with Elo however I do know many video games have scaled Glicko-2, so I wish to attempt to discover a manner to try this.

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