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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”.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.