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API Access
Access dataset files directly from scripts, code, or AI agents.
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.
Start with these files — they give you everything you need to understand and access the dataset.
- 1. Fetch datapackage.json to inspect schema and resources
- 2. Download data resources listed in datapackage.json
- 3. Read README.md for full context
Data Files
Explore with AIteam-picking-categories
| Field | Type | Format |
|---|---|---|
| team | string | default |
| bmk | integer | default |
| uni | integer | default |
| cch | integer | default |
| stx | integer | default |
| smk | integer | default |
| aff | integer | default |
| slp | integer | default |
| nyp | integer | default |
| frl | integer | default |
| bng | integer | default |
| trd | integer | default |
| bwg | integer | default |
| fut | integer | default |
| pla | integer | default |
| own | integer | default |
| beh | integer | default |
Download
Download CSVAbout
- Last updated
- 12 March 2026
- Total rows
- ...
- Format
- CSV
- File size
- 2.13 kB
About this dataset
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.
| abbrev | category |
|---|---|
| FRL | Fan relations - Courtesy by players, coaches and front offices toward fans, and how well a team uses technology to reach them |
| OWN | Ownership - Honesty; loyalty to core players and the community |
| PLA | Players - Effort on the field, likability off it |
| FUT | Future wins - Projected wins over next 5 seasons |
| BWG | Bandwagon Factor - Are the team's next 5 years likely to be better than their previous 5? |
| TRD | Tradition - Championships/division titles/wins in team's entire history |
| BNG | Bang for the buck - Wins per fan dollars spent |
| BEH | Behavior - Suspensions by players on team since 2007, with extra weight to transgressions vs. women |
| NYP | Proximity to New York City |
| SLP | Proximity to St. Louis |
| AFF | Affordability - Price of tickets, parking and concessions |
| SMK | Small Market - Size of market in terms of population, where smaller is better |
| STX | Stadium experience - Quality of venue; fan-friendliness of environment; frequency of game-day promotions |
| CCH | Coaching - Strength of on-field leadership |
| UNI | Uniform - Stylishness of uniform design, according to Uni Watch's Paul Lukas |
| BMK | Big 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