README.md
In alspur/marblr: The NCAA Marble Game
marblr
During the 2017 NCAA football season, David Burge proposed a simple, easy-to-comprehend system for determining which NCAA football teams would be invited to the four-team playoff - the "marble game." The rules of the game are simple:
- Each team starts with a pre-determined amount of marbles.
- If a team wins a home game, they take 20% of the loser's marbles.
- If a team wins a road game, they take 25% of the loser's marbles.
- Neutral site games are treated as home wins for the victor (20% marble transfer).
The motivation behind the #marblegame is simple:
The point of the #MarbleGame is that CFB playoff selection could be simple, open, & transparent, not backroom committees lobbying for the outcome of a beauty contest.
— David Burge (@iowahawkblog) December 3, 2017
Package features
The marblr package allows R users to simulate the marble game for NCAA football seasons from 1995 to 2017 (data scraped from Massey Ratings). Data from 2018 games will be updated as it becomes availalbe.
The marble_game function takes four inputs:
ncaa_games: A dataframe that comes with the marblr package with game result data scraped from Massey Ratings.yr: A four-digit year from 1995 to 2018, indicating the desired football season.wk: A integer to determine the maximum week of the season to include. By default, it will pull all available weeks. If you want to limit to the first 6 weeks of the season, you would set this parameter to 6. p5_value: An integer to determine the initial marble count given to teams from the 2017 Power 5 conferences (ACC, Big 10, Big 12, Pac 12, SEC, and Notre Dame) at the start of a season. This defaults to 200 for teams from the Power 5 and 100 for all other schools.
alspur/marblr documentation built on May 13, 2019, 11:51 p.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
marblr
During the 2017 NCAA football season, David Burge proposed a simple, easy-to-comprehend system for determining which NCAA football teams would be invited to the four-team playoff - the "marble game." The rules of the game are simple:
- Each team starts with a pre-determined amount of marbles.
- If a team wins a home game, they take 20% of the loser's marbles.
- If a team wins a road game, they take 25% of the loser's marbles.
- Neutral site games are treated as home wins for the victor (20% marble transfer).
The motivation behind the #marblegame is simple:
The point of the #MarbleGame is that CFB playoff selection could be simple, open, & transparent, not backroom committees lobbying for the outcome of a beauty contest.
— David Burge (@iowahawkblog) December 3, 2017
Package features
The marblr package allows R users to simulate the marble game for NCAA football seasons from 1995 to 2017 (data scraped from Massey Ratings). Data from 2018 games will be updated as it becomes availalbe.
The marble_game function takes four inputs:
ncaa_games: A dataframe that comes with themarblrpackage with game result data scraped from Massey Ratings.yr: A four-digit year from 1995 to 2018, indicating the desired football season.wk: A integer to determine the maximum week of the season to include. By default, it will pull all available weeks. If you want to limit to the first 6 weeks of the season, you would set this parameter to 6.p5_value: An integer to determine the initial marble count given to teams from the 2017 Power 5 conferences (ACC, Big 10, Big 12, Pac 12, SEC, and Notre Dame) at the start of a season. This defaults to 200 for teams from the Power 5 and 100 for all other schools.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.