Every player
New here?

How to read this page

▶

Team tables split by side of the ball, and the Side control hides the half you are not reading. What a team allowed is what its opponents gained, so the allowed tables are the offensive ones read from the other end. The roster is everyone who recorded a stat line, because the source holds no roster of its own — a player who never got on the field is absent. A dash means no number for that cell, or a zero in a roster column that counts.

PSU

Liam Clifford

94th beats 94% of the NCAAF WRs; 1 is the best of however many the row says. Higher is always better, whichever way the stat runs. Red to green by where the placing sits. A stat with no better end is left unpainted.

all 6 shown▶
Playing Timevs NCAAF WRs▶
Games Played10
EfficiencyOffensevs NCAAF WRs▶
Carries with a Countable Outcome1
Points Added per Play1.44—
Total Points Added28.959th504/1214
Success Rate Running100%—
RushingOffensevs NCAAF WRs▶
Carries0.115th600/720
Rushing Yards1.249th364/720
Yards per Carry12.0—
Rushing Touchdowns042nd123/720
Longest Run1262nd263/720
ReceivingOffensevs NCAAF WRs▶
Receptions1.731st1023/1482
Receiving Yards27.946th800/1482
Yards per Catch16.4—
Receiving Touchdowns140th731/1482
Longest Catch5775th368/1482
Ball SecurityOffensevs NCAAF WRs▶
Fumbles066th1/1510
Fumbles Lost059th1/1510
Special Teamsvs NCAAF WRs▶
Punt Returns111th320/405
Punt Return Yards0.617th337/405
Punt Return Touchdowns046th30/405
10 games
DateOppRECREC YDSREC TDLONG RECCARRUSH YDS
PSUDec 8, 2024@OREORE#1——————
PSUNov 30, 2024MDMD1505——
PSUNov 23, 2024@MINNMINN1808——
PSUNov 10, 2024WASHWASH120020——
PSUOct 26, 2024@WISWIS340023——
PSUOct 12, 2024@USCUSC326016——
PSUOct 5, 2024UCLAUCLA3107057——
PSUSep 28, 2024ILLILL#192905——
PSUSep 21, 2024KENTKENT364138112
PSUSep 7, 2024BGSUBGSU——————
By season4 seasons
SeasonGPRECREC YDSYDS/RECREC TDLONG RECRUSH YDSRUSH TD
2025PSU43258.301320
2024PSU101727916.4157120
2023PSU71010510.5033——
2022PSU588911.1020——

About College Football Research

▶

Every number the site holds for a college football team and the players who played for it, in one place. Pick a team, a season and a set of games, and read it. Nothing here needs an account.

Where the numbers come from

The same tables the boards read, resolved through one shared definition per stat. A rate is computed over the whole window rather than averaged across games, so a season figure is not the mean of the nightly ones.