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.

UNM

Andrew Erickson

Andrew Erickson places 1221st of 1507 ncaaf wrs in fumbles lost, at 1.

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 Played7
EfficiencyOffensevs NCAAF WRs▶
Carries with a Countable Outcome1
Points Added per Play0.45—
Total Points Added6.826th1082/1456
Success Rate Running100%—
RushingOffensevs NCAAF WRs▶
Carries0.126th473/654
Rushing Yards147th334/654
Yards per Carry7.0—
Rushing Touchdowns042nd109/654
Longest Run744th353/654
ReceivingOffensevs NCAAF WRs▶
Receptions1.728th1053/1465
Receiving Yards15.719th1192/1465
Yards per Catch9.2—
Receiving Touchdowns014th1062/1465
Longest Catch3130th1012/1465
Ball SecurityOffensevs NCAAF WRs▶
Fumbles120th1055/1507
Fumbles Lost111th1221/1507
Special Teamsvs NCAAF WRs▶
Punt Returns111th309/394
Punt Return Yards-0.33rd382/394
Punt Return Touchdowns047th25/394
7 games
DateOppRECREC YDSREC TDLONG RECCARRUSH YDS
UNMNov 25, 2022@CSUCSU4150517
UNMNov 12, 2022@AFAAFA1909——
UNMNov 5, 2022@USUUSU1505——
UNMOct 22, 2022FRESFRES114014——
UNMOct 16, 2022@NMSUNMSU21209——
UNMOct 8, 2022WYOWYO246031——
UNMSep 18, 2022UTEPUTEP1909——
By season3 seasons
SeasonGPRECREC YDSYDS/RECREC TDLONG RECRUSH YDSRUSH TD
2023UNM92026313.2152——
2022UNM7121109.203170
2021UNM91313810.612600

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.