tournament.multiteam

A fake dataset containing results from "animal-ball" matches.

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

Ranking Teams by Elo Rating and Comparable Methods

tournament.multiteam function

A data frame with 56 observations on the following 4 variables:<dl>
 <dt><code>week</code></dt>
<dd>Week Number</dd> <dt><code>half</code></dt>
<dd>The half of the season in which the match was played</dd> <dt><code>Place_1</code></dt>
<dd>The first-place team</dd> <dt><code>Place_2</code></dt>
<dd>The second-place team</dd> <dt><code>Place_3</code></dt>
<dd>The third-place team</dd> <dt><code>Place_4</code></dt>
<dd>The fourth-place team</dd> 
</dl>

Format

tournament.multiteam: Mock data for examples — tournament.multiteam

A data frame with 56 observations on the following 4 variables:<dl>
 <dt><code>week</code></dt>
<dd>Week Number</dd>

 <dt><code>half</code></dt>
<dd>The half of the season in which the match was played</dd>

 <dt><code>Place_1</code></dt>
<dd>The first-place team</dd>

 <dt><code>Place_2</code></dt>
<dd>The second-place team</dd>

 <dt><code>Place_3</code></dt>
<dd>The third-place team</dd>

 <dt><code>Place_4</code></dt>
<dd>The fourth-place team</dd>

 
</dl>

tournament.multiteam: `tournament.multiteam`: Mock data for examples

Description

Arguments

Format