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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.

UND

Matt Lawson

Matt Lawson ranks 334th of 383 ncaaf rbs in success rate running, at 36.6%.

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 5 shown▶
Playing Timevs NCAAF RBs▶
Games Played12
EfficiencyOffensevs NCAAF RBs▶
Carries with a Countable Outcome101
Success Rate Running36.6%13th334/383
RushingOffensevs NCAAF RBs▶
Carries8.767th329/1016
Rushing Yards37.361st400/1016
Yards per Carry4.324th362/477
Rushing Touchdowns361st344/1016
Longest Run3552nd480/1016
ReceivingOffensevs NCAAF RBs▶
Receptions0.956th411/937
Receiving Yards5.142nd545/937
Yards per Catch5.5—
Receiving Touchdowns033rd310/937
Longest Catch1127th673/937
Ball SecurityOffensevs NCAAF RBs▶
Fumbles074th1/1037
Fumbles Lost067th1/1037
12 games
DateOppCARRUSH YDSRUSH TDLONG RUNRECREC YDSREC TDFUM
ILSTDec 7, 2024@UCDUCD72801341400
ILSTNov 30, 2024@SEMOSEMO9803———0
ILSTNov 23, 2024UNDUND134201821500
ILSTNov 16, 2024@INSTINST11560351500
ILSTNov 9, 2024@UNIUNI16841171800
ILSTNov 2, 2024YSUYSU1368023———0
ILSTOct 19, 2024@MURMUR73001321400
ILSTOct 12, 2024MOSTMOST41406———0
ILSTOct 5, 2024@SIUSIU5431291500
ILSTSep 28, 2024NDSUNDSU3604———0
ILSTSep 21, 2024EIUEIU940021———0
ILSTSep 14, 2024WIUWIU728110———0
By season3 seasons
SeasonGPCARRUSH YDSYDS/CARRUSH TDLONG RUNRECREC YDSREC TD
2026UND8823964.8333131000
2025ILST1————————
2024ILST121044474.333511610

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.