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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.

LIU

Kam Ingram

In receiving yards, Kam Ingram is 889th of 946 ncaaf rbs, at 0.6 per game.

94th beats 94% of the NCAAF RBs; 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 RBs▶
Games Played10
EfficiencyOffensevs NCAAF RBs▶
Carries with a Countable Outcome45
Points Added per Play-0.13—
Total Points Added-6.58th969/1053
Success Rate Running40.0%—
RushingOffensevs NCAAF RBs▶
Carries3.825th786/1051
Rushing Yards18.229th745/1051
Yards per Carry4.8—
Rushing Touchdowns011th813/1051
Longest Run3148th547/1051
ReceivingOffensevs NCAAF RBs▶
Receptions0.27th868/946
Receiving Yards0.66th889/946
Yards per Catch3.0—
Receiving Touchdowns034th300/946
Longest Catch713th807/946
Ball SecurityOffensevs NCAAF RBs▶
Fumbles34th997/1062
Fumbles Lost119th737/1062
Special Teamsvs NCAAF RBs▶
Kick Returns774th93/370
Kick Return Yards15.273rd101/370
Kick Return Touchdowns048th15/370
Punt Returns346th26/55
Punt Return Yards0.420th44/55
Punt Return Touchdowns044th7/55
10 games
DateOppCARRUSH YDSRUSH TDLONG RUNRECREC YDSREC TDFUM
LIUNov 22, 2025WAGWAG11100031———0
LIUNov 15, 2025@SFPASFPA1000———0
LIUNov 8, 2025DUQDUQ213011———0
LIUOct 25, 2025NHNH1-300———0
LIUOct 4, 2025@MERCMERC111011———1
LIUSep 27, 2025@STOSTO1101———0
LIUSep 20, 2025@URIURI3160101-100
LIUSep 13, 2025SHUSHU1404———1
LIUSep 6, 2025@EMUEMU1326091701
LIUAug 30, 2025@FLAFLA#1541406———0

About College Football Research

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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.