cfbd_venues(): Pulls all college football venues and data on capacity, grass, city/state, location, elevation, dome, timezone and construction year.
Pulls all college football venues and data on capacity, grass, city/state, location, elevation, dome, timezone and construction year.
Value
A data frame with 337 rows and 14 variables:
| col_name | types | description |
| venue_id | integer | Referencing venue ID. |
| name | character | Venue name. |
| capacity | integer | Stadium capacity. |
| grass | logical | TRUE/FALSE response on whether the field is grass or not. |
| city | character | Venue city. |
| state | character | Venue state. |
| zip | character | Venue zip code. |
| country_code | character | Venue country code. |
| latitude | numeric | Venue latitude in decimal degrees. |
| longitude | numeric | Venue longitude in decimal degrees. |
| elevation | character | Venue elevation above sea level. |
| year_constructed | integer | Year in which the venue was constructed. |
| dome | logical | TRUE/FALSE response to whether the venue has a dome or not. |
| timezone | character | Time zone in which the venue resides (i.e. Eastern Time -> "America/New_York"). |
Examples
# \donttest{
try(cfbd_venues())
#> ── Venue data from CollegeFootballData.com ─────────────────── cfbfastR 2.3.0 ──
#> ℹ Data updated: 2026-06-13 04:20:18 UTC
#> # A tibble: 840 × 14
#> venue_id name capacity grass dome city state zip country_code timezone
#> <int> <chr> <int> <lgl> <lgl> <chr> <chr> <chr> <chr> <chr>
#> 1 5938 Al Whi… 4000 NA FALSE Port… "NM" 88130 US NA
#> 2 218 FIU St… 20000 FALSE FALSE Miami "FL" 33199 US America…
#> 3 4779 Thomas… 15000 TRUE FALSE Nass… "" NA BS NA
#> 4 11591 Lokken… NA NA FALSE Vall… "ND" NA US NA
#> 5 5220 Garris… 5000 NA FALSE Murf… "TN" NA US NA
#> 6 3884 RAM St… NA NA FALSE East… "GA" NA US NA
#> 7 11589 Hinchl… NA NA TRUE Pate… "NJ" NA US NA
#> 8 6043 Bethpa… 6000 FALSE FALSE Broo… "NY" 11545 US America…
#> 9 11539 Charlo… NA NA FALSE Jame… "ND" NA US NA
#> 10 11488 Centre… NA TRUE NA Pawt… "RI" NA USA NA
#> # ℹ 830 more rows
#> # ℹ 4 more variables: latitude <dbl>, longitude <dbl>, elevation <chr>,
#> # year_constructed <int>
# }