Elo ratings in intransitive games are unique for a given schedule but shift with the schedule, so they cannot represent a single transitive skill scale.
Boltzmann and Fokker-Planck equations modelling the Elo rating system with learning effects
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abstract
In this paper we propose and study a new kinetic rating model for a large number of players, which is motivated by the well-known Elo rating system. Each player is characterised by an intrinsic strength and a rating, which are both updated after each game. We state and analyse the respective Boltzmann type equation and derive the corresponding nonlinear, nonlocal Fokker-Planck equation. We investigate the existence of solutions to the Fokker-Planck equation and discuss their behaviour in the long time limit. Furthermore, we illustrate the dynamics of the Boltzmann and Fokker-Planck equation with various numerical experiments.
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Elo Ratings in the Presence of Intransitivity
Elo ratings in intransitive games are unique for a given schedule but shift with the schedule, so they cannot represent a single transitive skill scale.