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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.

ARK

Andrew Armstrong

Andrew Armstrong ranks 156th of 1487 ncaaf wrs in receiving touchdowns, at 5.

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 5 shown▶
Playing Timevs NCAAF WRs▶
Games Played12
EfficiencyOffensevs NCAAF WRs▶
Carries with a Countable Outcome1
Points Added per Play0.92—
Total Points Added69.295th73/1382
Success Rate Running0%—
RushingOffensevs NCAAF WRs▶
Carries0.16th621/682
Rushing Yards0.327th493/682
Yards per Carry3.0—
Rushing Touchdowns041st122/682
Longest Run326th482/682
ReceivingOffensevs NCAAF WRs▶
Receptions4.791st138/1487
Receiving Yards63.790th155/1487
Yards per Catch13.661st254/654
Receiving Touchdowns587th156/1487
Longest Catch4863rd539/1487
Ball SecurityOffensevs NCAAF WRs▶
Fumbles065th1/1525
Fumbles Lost059th1/1525
12 games
DateOppRECREC YDSREC TDLONG RECCARRUSH YDS
ARKNov 24, 2023MIZMIZ#10440118——
ARKNov 19, 2023FIUFIU46702713
ARKNov 11, 2023AUBAUB234031——
ARKNov 4, 2023@FLAFLA3103048——
ARKOct 21, 2023MSSTMSST435019——
ARKOct 14, 2023@ALAALA#11448021——
ARKOct 7, 2023@MISSMISS#16886021——
ARKSep 30, 2023TA&MTA&M378148——
ARKSep 23, 2023@LSULSU#12676022——
ARKSep 16, 2023BYUBYU998021——
ARKSep 9, 2023KENTKENT42129——
ARKSep 2, 2023WCUWCU578129——
By season3 seasons
SeasonGPRECREC YDSYDS/RECREC TDLONG RECRUSH YDSRUSH TD
2024ARK11781,14014.6143——
2023ARK125676413.654830
2022ETAM11621,02016.51396——

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.