The elo Package

The elo package includes functions to address all kinds of Elo calculations.

• elo.prob(): calculate probabilities based on Elo scores

• elo.update(): calculate Elo updates

• elo.calc(): calculate post-update Elo values

• elo.run() and elo.run.multiteam(): calculate “running” Elo values for a series of matches

It also includes comparable models for accuracy (auc, MSE) benchmarking:

• elo.glm() which fits a logistic regression model

• elo.markovchain() which fits a Markov chain model

• elo.colley() for a method based on the Colley matrix.

• elo.winpct() which fits a model based on win percentage

Please see the vignettes for examples.

Naming Schema

Most functions begin with the prefix “elo.”, for easy autocompletion.

• Vectors or scalars of Elo scores are denoted “elo.A” or “elo.B”.

• Vectors or scalars of wins by team A are denoted by “wins.A”.

• Vectors or scalars of win probabilities are denoted by “p.A”.

• Vectors of team names are denoted “team.A” or “team.B”.