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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.

NIU

Kendrell Flowers

Kendrell Flowers comes in 41st of 299 ncaaf rbs in yards per catch, at 11.0.

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 Played7
EfficiencyOffensevs NCAAF RBs▶
Carries with a Countable Outcome47
Points Added per Play-0.03—
Total Points Added-1.617th814/986
Success Rate Running36.2%—
RushingOffensevs NCAAF RBs▶
Carries12.484th164/996
Rushing Yards46.468th320/996
Yards per Carry3.711th438/494
Rushing Touchdowns359th361/996
Longest Run6787th127/996
ReceivingOffensevs NCAAF RBs▶
Receptions1.474th233/904
Receiving Yards15.784th147/904
Yards per Catch11.086th41/299
Receiving Touchdowns033rd300/904
Longest Catch2461st345/904
Ball SecurityOffensevs NCAAF RBs▶
Fumbles137th474/1008
Fumbles Lost125th615/1008
Kickingvs NCAAF RBs▶
Field Goals Made0
Field Goals Attempted0
Extra Points Made0
Extra Points Attempted14/41
7 games
DateOppCARRUSH YDSRUSH TDLONG RUNRECREC YDSREC TDFUM
SCSTOct 29, 2022@MORGMORG14310711601
SCSTOct 22, 2022NCCUNCCU237911445800
SCSTOct 8, 2022FAMUFAMU123101032900
SCSTSep 29, 2022@SCSC142807———0
SCSTSep 24, 2022@NCATNCAT————1600
SCSTSep 10, 2022@BCUBCU16153267———0
SCSTSep 1, 2022@UCFUCF83031100
By season3 seasons
SeasonGPCARRUSH YDSYDS/CARRUSH TDLONG RUNRECREC YDSREC TD
2023NIU13103.304130
2022SCST7873253.7367101100
2021SCST101588115.11051221472

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.