Season lines from CollegeFootballData, regular season and bowls. * That team-season’s player lines are missing part of the team’s yards in our source, so these numbers may be short.
As each season’s roster listed the player (CollegeFootballData). Classes before the latest listing are counted back from it; “Yr 1” is the year on file where that count can’t place a season he played (a redshirt, transfer or 2020 year); height and weight as last listed.
Per play
Season
Team
Plays
EPA/play
Pctile
Median
Total
Usage
2018
North Carolina Central (FCS)
1
0.43
–
–
0.4
–
2022
Eastern Illinois (FCS)
136
0.16
–
–
22.3
53%
2023
Charlotte
16
0.20
–
–
3.2
–
Expected points added: how much the player’s plays moved the team’s expected score, per play and in total. Plays: total EPA divided by EPA per play, the plays the source credits to him (for a receiver roughly his catches and runs, not every target; for a passer, not every attempt), so it can differ from attempts plus carries. Percentile: against the position’s regulars that season across all divisions on file (quarterbacks with 150+ plays, backs 60+, receivers and tight ends 30+), with how many there were (n) and their median; a dash means too few plays to rank. A season in progress uses the full-season bar scaled by games played, never below 75 plays for quarterbacks, 30 for backs and 20 for receivers. The cohort grows or shrinks with the source’s coverage each season (2025 lists far more players), so compare percentiles rather than raw EPA across years. FCS seasons are marked. Usage: the share of the team’s plays the player was part of (shown from 20 plays). From CollegeFootballData, 2013 on.
No box score in the source for Sep 2 vs. Prairie View A&M; Sep 8 vs. St. Augustine’s; Sep 29 vs. Florida A&M; Oct 6 vs. Howard; Oct 20 at Norfolk State; Oct 27 at Delaware State; Nov 3 vs. Edward Waters; Nov 9 at Bethune-Cookman; Nov 17 vs. North Carolina A&T; Nov 24 at South Carolina State, so those games are not listed.
Box scores from CollegeFootballData, 2004 on. ✦ postseason; ★ a career high on file.
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