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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

Charles Langama

Charles Langama places 914th of 1000 ncaaf rbs in fumbles, at 2.

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 Played9
EfficiencyOffensevs NCAAF RBs▶
Carries with a Countable Outcome72
Points Added per Play0.1157th212/488
Total Points Added9.775th250/979
Success Rate Running45.8%66th164/488
RushingOffensevs NCAAF RBs▶
Carries865th340/993
Rushing Yards59.484th159/993
Yards per Carry7.498th10/504
Rushing Touchdowns692nd65/993
Longest Run4978th213/993
ReceivingOffensevs NCAAF RBs▶
Receptions1.162nd321/847
Receiving Yards10.774th222/847
Yards per Catch9.6—
Receiving Touchdowns037th219/847
Longest Catch2474th219/847
Ball SecurityOffensevs NCAAF RBs▶
Fumbles25th914/1000
Fumbles Lost22nd967/1000
Special Teamsvs NCAAF RBs▶
Kick Returns1999th4/286
Kick Return Yards59.499th5/286
Kick Return Touchdowns196th2/286
9 games
DateOppCARRUSH YDSRUSH TDLONG RUNRECREC YDSREC TDFUM
UNDOct 24, 2026@SDAKSDAK7210634000
UNDOct 17, 2026SDSTSDST660149———1
UNDOct 10, 2026@UNIUNI94811721100
UNDOct 3, 2026MURMUR81062332901
UNDSep 26, 2026@INSTINST51901411300
UNDSep 19, 2026@NEBNEB827014———0
UNDSep 13, 2026@PRSTPRST68304411800
UNDSep 5, 2026STMNSTMN11120149———0
UNDAug 28, 2026LIULIU12511131500
By season2 seasons
SeasonGPCARRUSH YDSYDS/CARRUSH TDLONG RUNRECREC YDSREC TD
2026UND9725357.464910960
2025UND616865.41262120

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.