Load college football weekly power ratings from the SportsDataverse data repo

Loads weekly team power ratings – one row per team-week, the as-of- week snapshots behind the season-end ratings. Published to the cfb_ratings_weekly release tag on the sportsdataverse-data repo.

Usage

load_cfb_ratings_weekly(
  seasons = most_recent_cfb_season(),
  ...,
  dbConnection = NULL,
  tablename = NULL
)

Arguments

seasons: A vector of 4-digit years associated with given college football seasons. Published coverage runs 2004 through the most recent season. Pass seasons = TRUE for every published season. (Min: 2004)
...: Additional arguments passed to an underlying function that writes the season data into a database.
dbConnection: A DBIConnection object, as returned by DBI::dbConnect()
tablename: The name of the data table within the database

Value

Returns a cfbfastR_data tibble.

col_name	types	description
season	integer
team_id	integer
adj_off_epa	double	Opponent-adjusted offensive EPA per play as of the snapshot week: raw per-game EPA on pass and rush plays net of each opponent's ridge-fitted defensive strength.
adj_def_epa	double	Opponent-adjusted EPA per play allowed as of the snapshot week, netted the same way as the offensive rating, so lower is better.
adj_st_epa	double	Special-teams composite in EPA units as of the snapshot week, summing the league-centered per-play EPA of the field goal, punt, and kick-return units.
adj_net	double	adj_off_epa minus adj_def_epa at the snapshot week, the team's overall efficiency rating in EPA per play with special teams excluded.
fei_off	double	Drive-level offensive rating at the snapshot week, from a ridge fit on per-drive EPA.
fei_def	double	Drive-level defensive rating at the snapshot week, from the same per-drive ridge fit and on the same scale as fei_off.
fei_net	double	fei_off minus fei_def at the snapshot week, the team's overall drive-efficiency rating.
games	integer
off_pace	double	Scrimmage plays per game through the snapshot week, the tempo input consumed by the totals model.
off_rank	integer	Dense rank of adj_off_epa in descending order within the snapshot week, so rank 1 is the most efficient offense at that point.
def_rank	integer	Dense rank of adj_def_epa in ascending order within the snapshot week, so rank 1 is the stingiest defense at that point.
net_rank	integer	Dense rank of adj_net in descending order within the snapshot week, so rank 1 is the strongest overall team at that point.
net_z	double	adj_net restated as a z-score against the mean and standard deviation of adj_net across the teams rated in that snapshot week.
through_week	integer	Regular-season week the snapshot runs through; the ratings were refit using only games kicking off on or before that week's final kickoff date.

Author

Saiem Gilani

Examples

# \donttest{
  try(load_cfb_ratings_weekly(2004))
#> ── college football weekly power ratings from the SportsDataverse data repo ────
#> ℹ Data updated: 2026-09-10 05:49:17 UTC
#> # A tibble: 1,579 × 16
#>    season team_id adj_off_epa adj_def_epa adj_st_epa adj_net fei_off fei_def
#>     <int> <chr>         <dbl>       <dbl>      <dbl>   <dbl>   <dbl>   <dbl>
#>  1   2004 127        -0.122     -0.0630      -1.61   -0.0585  -0.962  -1.09 
#>  2   2004 2132       -0.118      0.0589       0.723  -0.177   -1.08   -0.809
#>  3   2004 50         -0.0194     0.115        0.375  -0.135   -0.489  -0.206
#>  4   2004 26          0.0125     0.0455       2.58   -0.0329  -0.581  -0.332
#>  5   2004 30          0.00353   -0.0680      -0.560   0.0716  -0.387  -0.750
#>  6   2004 245         0.280      0.0489       0.0763  0.231   -0.464  -0.193
#>  7   2004 5          -0.347     -0.0940      -0.772  -0.253   -0.207  -0.618
#>  8   2004 2649        0.132     -0.000103    -0.492   0.132   -0.245   0.287
#>  9   2004 259        -0.0680     0.00353      1.83   -0.0716  -0.750  -0.387
#> 10   2004 2655       -0.0679     0.0972       0.284  -0.165   -0.857  -0.349
#> # ℹ 1,569 more rows
#> # ℹ 8 more variables: fei_net <dbl>, games <int>, off_pace <dbl>,
#> #   off_rank <int>, def_rank <int>, net_rank <int>, net_z <dbl>,
#> #   through_week <int>
# }