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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.

NAU

Xander Werner

Xander Werner comes in 1406th of 1465 ncaaf wrs in receiving yards, at 4.3 per game.

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 Played4
EfficiencyOffensevs NCAAF WRs▶
Throws with a Countable Outcome3
Carries with a Countable Outcome0
Points Added per Play1.58—
Total Points Added7.930th1014/1456
Success Rate Throwing66.7%—
PassingOffensevs NCAAF WRs▶
Completions0.591st13/146
Pass Attempts0.891st14/146
Completion Rate66.7%—
Passing Yards1292nd12/146
Yards per Attempt16.0—
Passing Touchdowns187th5/146
Interceptions Thrown056th1/146
RushingOffensevs NCAAF WRs▶
Carries0.572nd176/654
Rushing Yards019th519/654
Yards per Carry0.0—
Rushing Touchdowns042nd109/654
Longest Run08th552/654
ReceivingOffensevs NCAAF WRs▶
Receptions0.54th1407/1465
Receiving Yards4.34th1406/1465
Yards per Catch8.5—
Receiving Touchdowns014th1062/1465
Longest Catch92nd1425/1465
Ball SecurityOffensevs NCAAF WRs▶
Fumbles065th1/1507
Fumbles Lost060th1/1507
4 games
DateOppRECREC YDSREC TDLONG RECCARRUSH YDS
NAUNov 12, 2022@UNCOUNCO————20
NAUNov 5, 2022MTSTMTST——————
NAUSep 24, 2022IDHOIDHO21709——
NAUSep 10, 2022@SHSUSHSU——————
By season4 seasons
SeasonGPRECREC YDSYDS/RECREC TDLONG RECRUSH YDSRUSH TD
2024NAU54379.312550
2023NAU567913.2143——
2022NAU42178.50900
2021NAU4231.502——

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.