Gunnison Bloodgood

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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.

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Gunnison Bloodgood

Gunnison Bloodgood sits 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 Played11
EfficiencyOffensevs NCAAF WRs▶
Carries with a Countable Outcome4
Points Added per Play0.44—
Total Points Added17.255th661/1456
Success Rate Running50%—
RushingOffensevs NCAAF WRs▶
Carries0.462nd245/654
Rushing Yards147th334/654
Yards per Carry2.8—
Rushing Touchdowns042nd109/654
Longest Run1057th270/654
ReceivingOffensevs NCAAF WRs▶
Receptions2.347th769/1465
Receiving Yards27.744th819/1465
Yards per Catch12.240th463/775
Receiving Touchdowns139th739/1465
Longest Catch5572nd405/1465
Ball SecurityOffensevs NCAAF WRs▶
Fumbles120th1055/1507
Fumbles Lost111th1221/1507
Special Teamsvs NCAAF WRs▶
Kick Returns1993rd34/503
Kick Return Yards42.292nd41/503
Kick Return Touchdowns049th13/503
11 games
DateOppRECREC YDSREC TDLONG RECCARRUSH YDS
MORENov 19, 2022USDUSD32101215
MORENov 12, 2022@DAYDAY1202——
MORENov 5, 2022MRSTMRST333018——
MOREOct 29, 2022@BTLRBTLR3250121-5
MOREOct 22, 2022VALVAL578022——
MOREOct 15, 2022@DAVDAV350020211
MOREOct 1, 2022PRESPRES111011——
MORESep 24, 2022@STETSTET1202——
MORESep 17, 2022—258155——
MORESep 10, 2022@MTSTMTST216015——
MOREAug 27, 2022@MERMER1909——

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.