Skill score/Rating systems that take into consideration margin of victory I am trying to create ratings/skill scores using ranking systems like Elo, TrueSkill, and OpenSkill. All of these systems are similar in that they have a distribution that represents players' skill and that the update after a match is dependent only on the parameters of the distribution.
Are there similar methods that also incorporate some exogenous measure of victory, so that the update is dependent on the distribution parameters of the players, but also margin of victory, aka how much a player won by?

Moderated paired comparison might be an option. It's an adaptation of the Bradley–Terry model for a setting with a continuous outcome, based on fitting a penalized likelihood model to the observed margins of victory.
