College Football 2022 (Wins, Losses, Rankings)
Team Performance and Game Results
By [source]
About this dataset
This dataset contains comprehensive data about the 2022 season of college football in the United States, providing researchers and analysts alike with a powerful tool for studying the sport. The dataset includes rankings and games data that highlight individual teams, as well as game results, conference game data, and neutral-site games information. By examining this data through an in-depth analysis of team wins and losses across all levels of competition, users can gain deeper insights into how college football is played. This dataset offers a unique opportunity to explore collegiate sports in ways never before possible - uncovering new trends and helping to paint a picture of some of America's favorite pastimes!
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How to use the dataset
This dataset is an excellent resource for researchers and analysts interested in studying college football during the 2022 season. The compiled data includes team rankings, game results, conference game data, and neutral-site games data. The dataset is useful for both qualitative and quantitative analysis of college football teams’s performances throughout the season.
In order to get started with this dataset exploring it, users should first become familiar with the columns that make up the data set:
- Season: This column indicates which year of college football (2022 in this case) it pertains to
- Week: Indicates which week of the season a certain game was played
- Season Type: Regular or post season
- Start Date: Date when a particular game was played
- Neutral Site: Whether or not the featured game was on a “neutral site” (not home field for either team) such as a bowl or championship games
- Conference Game Status/Type: Indicates if this particular matchup is an interconference matchup like divisional playoffs / championship title bout etc.
- Home Team/ Points / Level & Away Team/ Points / Level information will have some combination of these elements indicate which two teams competed against one another in any given instance and how they did was according to their number of points scored and their level(Division I, Division II etc.).
After becoming familiar with all columns included in this particular dataset, users can begin more detailed analysis by creating pivot tables that focus on different aspects that analyze wins & losses such as wins vs losses overall each team as well as by division within conferences (for example). The section below titled ‘Filtering For Desired Elements Of Analysis’ will provide instructions on how to do so within Microsoft Excel but similar concepts exist across other programs such as Tableau & Google Sheets too! Furthermore filtering could also be used across other fields such characteristics like start date / regular versus post season fixtures etc. To illustrate what types outcomes are possible via filtering let's say we wanted take closer look at all wins achieved by division one teams throughout course regular 2022 then we apply relevant filter conditions established within table would result overview containing only results related specification!.
After developing accurate Filters it possible extract only desired elements analysis produce visual displays reflect findings further gathered insights gain clearer understanding patterns behavior see here . Lastly aggregate statistics provided not just adequate help formulate thoughts hypothesis but also contribute towards various models predict future outcomes!
Research Ideas
- Analyzing the Season Winners – By analyzing the results, rating, volatility and other statistics of teams in this dataset, it is possible to predict which team(s) may take home their respective conference title(s) for the 2022 season and beyond.
- Receiver Performance Analysis – Several stats from this dataset can be compared to each other in order to analyze how receivers perform under varying levels of competition or for games on neutral sites, for example.
- Ranking the Best Seasons – This dataset can be used to rank the best college football seasons in terms of wins/losses over time by a specific school or within a given conference or division. This could provide insights into which teams have had long-term success across multiple years and which teams may need additional support going forward in order to compete with top-tier schools year after year
Acknowledgements
If you use this dataset in your research, please credit the original authors.
Data Source
License
License: CC0 1.0 Universal (CC0 1.0) - Public Domain Dedication
No Copyright - You can copy, modify, distribute and perform the work, even for commercial purposes, all without asking permission. See Other Information.
Columns
File: games2020.csv
| Column name |
Description |
| season |
The year of the college football season. (Integer) |
| week |
The week of the college football season. (Integer) |
| season_type |
The type of season (regular, bowl, or playoff). (String) |
| start_date |
The date the game was played. (Date) |
| neutral_site |
Whether the game was played at a neutral site. (Boolean) |
| conference_game |
Whether the game was a conference game. (Boolean) |
| home_team |
The name of the home team. (String) |
| home_points |
The number of points scored by the home team. (Integer) |
| away_team |
The name of the away team. (String) |
| away_points |
The number of points scored by the away team. (Integer) |
| home_level |
The division level of the home team. (String) |
| away_level |
The division level of the away team. (String) |
File: games2021.csv
| Column name |
Description |
| season |
The year of the college football season. (Integer) |
| week |
The week of the college football season. (Integer) |
| season_type |
The type of season (regular, bowl, or playoff). (String) |
| start_date |
The date the game was played. (Date) |
| neutral_site |
Whether the game was played at a neutral site. (Boolean) |
| conference_game |
Whether the game was a conference game. (Boolean) |
| home_team |
The name of the home team. (String) |
| home_points |
The number of points scored by the home team. (Integer) |
| away_team |
The name of the away team. (String) |
| away_points |
The number of points scored by the away team. (Integer) |
| home_level |
The division level of the home team. (String) |
| away_level |
The division level of the away team. (String) |
File: games2022.csv
| Column name |
Description |
| season |
The year of the college football season. (Integer) |
| week |
The week of the college football season. (Integer) |
| season_type |
The type of season (regular, bowl, or playoff). (String) |
| start_date |
The date the game was played. (Date) |
| neutral_site |
Whether the game was played at a neutral site. (Boolean) |
| conference_game |
Whether the game was a conference game. (Boolean) |
| home_team |
The name of the home team. (String) |
| home_points |
The number of points scored by the home team. (Integer) |
| away_team |
The name of the away team. (String) |
| away_points |
The number of points scored by the away team. (Integer) |
| home_level |
The division level of the home team. (String) |
| away_level |
The division level of the away team. (String) |
File: teams.csv
| Column name |
Description |
| school |
The name of the school. (String) |
| conference |
The conference the school belongs to. (String) |
| division |
The division the school belongs to. (String) |
| level |
The level of competition the school is in (Division I or Division II). (String) |
| rating |
The rating of the school based on its performance. (Integer) |
| rd |
The ranking of the school in its conference. (Integer) |
| volatility |
The volatility rating of the school, which measures how much the school's rating changes from week to week. (Integer) |
File: teams_2022_rankings.csv
| Column name |
Description |
| school |
The name of the school. (String) |
| conference |
The conference the school belongs to. (String) |
| division |
The division the school belongs to. (String) |
| level |
The level of competition the school is in (Division I or Division II). (String) |
| rating |
The rating of the school based on its performance. (Integer) |
| rd |
The ranking of the school in its conference. (Integer) |
| volatility |
The volatility rating of the school, which measures how much the school's rating changes from week to week. (Integer) |
Acknowledgements
If you use this dataset in your research, please credit the original authors.
If you use this dataset in your research, please credit .