collegefb_2021and2022

5,816 comparisons among 706 agents.

About this table

DescriptionCollege football results from 2021-2022.
LicenceCC0 1.0
Source datahttps://www.kaggle.com/datasets/thedevastator/analyzing-college-football-2022-wins-losses-rank?resource=download&select=games2020.csv

Size and shape

Comparisons5,816
Agents706

Columns

agent_aagent_bdatehomefieldscore_ascore_bwinner

Get the data

Download CSVno account neededBrowse on Redivisexplore and queryCroissant metadataHugging Face, Kaggle, OpenML

Or load it directly in R (no account needed with irw 1.4.0 or later) or Python (needs a free Redivis account; the first call opens a browser to sign in):

# R
install.packages("irw")
library(irw)
df <- irw_fetch("collegefb_2021and2022", source = "comp")
# Python
pip install irw

import irw
df = irw.fetch("collegefb_2021and2022", source="comp")

Or in Stata, which reads the same no-account CSV as the button above:

* Stata
net install irw, from("https://raw.githubusercontent.com/itemresponsewarehouse/Stata-pkg/main/")

irw_fetch collegefb_2021and2022, clear source(comp)

How to cite

@misc{analyzing_college_football_2022,
  title = {Analyzing College Football 2022 Wins Losses Rank},
  url = {https://www.kaggle.com/datasets/thedevastator/analyzing-college-football-2022-wins-losses-rank?resource=download&select=games2020.csv},
  note = {Accessed: 2023-10-01}
}

Version and provenance

IRW versionv712
Redivis datasetirw_competitions v7.1
Redivis dataset DOI10.57761/3r1w-t660
Manifest pin for this IRW versionv7.1
Metadata sourceirw_meta v68.0