G-Elo: Generalization of the Elo algorithm by modelling the discretized margin of victory. (arXiv:2010.11187v3 [stat.ME] UPDATED)

In this work we develop a new algorithm for rating of teams (or players) in
one-on-one games by exploiting the observed difference of the game-points (such
as goals), also known as a margin of victory (MOV). Our objective is to obtain
the Elo-style algorithm whose operation is simple to implement and to
understand intuitively. This is done in three steps: first, we define the
probabilistic model between the teams' skills and the discretized MOV variable:
this generalizes the model underpinning …

algorithm arxiv elo modelling