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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.

UNM

Nathaniel Jones

Nathaniel Jones ranks 862nd of 904 ncaaf rbs in receiving yards, at 0.5 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 Played11
EfficiencyOffensevs NCAAF RBs▶
Carries with a Countable Outcome118
Points Added per Play-0.055th353/373
Total Points Added-5.66th923/986
Success Rate Running32.2%4th357/372
RushingOffensevs NCAAF RBs▶
Carries10.775th254/996
Rushing Yards49.571st289/996
Yards per Carry4.639th303/494
Rushing Touchdowns249th448/996
Longest Run5174th257/996
ReceivingOffensevs NCAAF RBs▶
Receptions0.419th727/904
Receiving Yards0.55th862/904
Yards per Catch1.5—
Receiving Touchdowns033rd300/904
Longest Catch45th847/904
Ball SecurityOffensevs NCAAF RBs▶
Fumbles137th474/1008
Fumbles Lost070th1/1008
Special Teamsvs NCAAF RBs▶
Kick Returns115th271/386
Kick Return Yards2.729th275/386
Kick Return Touchdowns048th13/386
11 games
DateOppCARRUSH YDSRUSH TDLONG RUNRECREC YDSREC TDFUM
UNMNov 25, 2022@CSUCSU21007———0
UNMNov 19, 2022SDSUSDSU868051———0
UNMNov 12, 2022@AFAAFA41204———0
UNMNov 5, 2022@USUUSU21146143———0
UNMOct 22, 2022FRESFRES728014———0
UNMOct 16, 2022@NMSUNMSU112507———0
UNMOct 8, 2022WYOWYO17660132601
UNMOct 1, 2022@UNLVUNLV1261018———0
UNMSep 24, 2022@LSULSU8330101300
UNMSep 18, 2022UTEPUTEP21831211-300
UNMSep 10, 2022BOISBOIS71208———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.