Updated

NFL Favorite Team

API Access

Access dataset files directly from scripts, code, or AI agents.

Browse dataset files
Dataset Files

Each file has a stable URL (r-link) that you can use directly in scripts, apps, or AI agents. These URLs are permanent and safe to hardcode.

/fivethirtyeight/nfl-favorite-team/
https://datahub.io/fivethirtyeight/nfl-favorite-team/_r/-/README.md
https://datahub.io/fivethirtyeight/nfl-favorite-team/_r/-/data/team-picking-categories.csv
https://datahub.io/fivethirtyeight/nfl-favorite-team/_r/-/datapackage.json
Key Files

Start with these files — they give you everything you need to understand and access the dataset.

datapackage.jsonmetadata & schema
https://datahub.io/fivethirtyeight/nfl-favorite-team/_r/-/datapackage.json
README.mddocumentation
https://datahub.io/fivethirtyeight/nfl-favorite-team/_r/-/README.md
Typical Usage
  1. 1. Fetch datapackage.json to inspect schema and resources
  2. 2. Download data resources listed in datapackage.json
  3. 3. Read README.md for full context

Data Previews

team-picking-categories

Loading data...

Schema

nametypeformat
teamstringdefault
bmkintegerdefault
uniintegerdefault
cchintegerdefault
stxintegerdefault
smkintegerdefault
affintegerdefault
slpintegerdefault
nypintegerdefault
frlintegerdefault
bngintegerdefault
trdintegerdefault
bwgintegerdefault
futintegerdefault
plaintegerdefault
ownintegerdefault
behintegerdefault

Data Files

FileDescriptionSizeLast modifiedDownload
team-picking-categories
2.13 kBabout 2 months ago
team-picking-categories
FilesSizeFormatCreatedUpdatedLicenseSource
12.13 kBcsvabout 2 months agoFiveThirtyEight - Nfl Favorite Team

NFL Favorite Team

This folder contains data behind the story The Rams Are Dead To Me, So I Answered 3,352 Questions To Find A New NFL Team.

team-picking-categories.csv contains grades for each NFL franchise in 16 categories, to be used to pick a new favorite team.

abbrevcategory
FRLFan relations - Courtesy by players, coaches and front offices toward fans, and how well a team uses technology to reach them
OWNOwnership - Honesty; loyalty to core players and the community
PLAPlayers - Effort on the field, likability off it
FUTFuture wins - Projected wins over next 5 seasons
BWGBandwagon Factor - Are the team's next 5 years likely to be better than their previous 5?
TRDTradition - Championships/division titles/wins in team's entire history
BNGBang for the buck - Wins per fan dollars spent
BEHBehavior - Suspensions by players on team since 2007, with extra weight to transgressions vs. women
NYPProximity to New York City
SLPProximity to St. Louis
AFFAffordability - Price of tickets, parking and concessions
SMKSmall Market - Size of market in terms of population, where smaller is better
STXStadium experience - Quality of venue; fan-friendliness of environment; frequency of game-day promotions
CCHCoaching - Strength of on-field leadership
UNIUniform - Stylishness of uniform design, according to Uni Watch's Paul Lukas
BMKBig Market - Size of market in terms of population, where bigger is better

Should be used in conjunction with weights derived from a survey structured like this: http://www.allourideas.org/nflteampickingsample.

This dataset was scraped from FiveThirtyEight - nfl-favorite-team