An implementation of Elo ratings for general use in 'R'.

A flexible framework for calculating Elo ratings and resulting
rankings of any two-team-per-matchup system (chess, sports leagues, 'Go',
etc.). This implementation is capable of evaluating a variety of matchups,
Elo rating updates, and win probabilities, all based on the basic Elo
rating system. It also includes methods to benchmark performance,
including logistic regression and Markov chain models.

Ethan Heinzen

Elo Ratings

elo function

Listed below are the most useful functions available in <code>elo</code>:<code><a rd-options="" href="/link/elo.prob?package=elo&version=2.1.1" data-mini-rdoc="elo::elo.prob">elo.prob</a></code>: Calculate the probability that team A beats team B.<code><a rd-options="" href="/link/elo.update?package=elo&version=2.1.1" data-mini-rdoc="elo::elo.update">elo.update</a></code>: Calculate the update value for a given Elo matchup.<code><a rd-options="" href="/link/elo.calc?package=elo&version=2.1.1" data-mini-rdoc="elo::elo.calc">elo.calc</a></code>: Calculate post-update Elo values.<code><a rd-options="" href="/link/elo.run?package=elo&version=2.1.1" data-mini-rdoc="elo::elo.run">elo.run</a></code>: Calculate Elos for a series of matches.<code><a rd-options="" href="/link/score?package=elo&version=2.1.1" data-mini-rdoc="elo::score">score</a></code>: Create a 1/0/0.5 win "indicator" based on two teams' scores.

Functions

<code><a rd-options="" href="/link/tournament?package=elo&version=2.1.1" data-mini-rdoc="elo::tournament">tournament</a></code>: Mock data for examples.

elo: The Elo Package

Description

Arguments

Functions

Data

References

Examples