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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.

CCSU

Ricky Ortega

Ricky Ortega comes in 707th of 709 ncaaf wrs in rushing yards, at -2.3 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 5 shown▶
Playing Timevs NCAAF WRs▶
Games Played11
EfficiencyOffensevs NCAAF WRs▶
Carries with a Countable Outcome2
Points Added per Play0.09—
Total Points Added3.722nd1208/1543
Success Rate Running0.0%—
RushingOffensevs NCAAF WRs▶
Carries0.236th445/709
Rushing Yards-2.30th707/709
Yards per Carry-12.5—
Rushing Touchdowns041st130/709
Longest Run07th615/709
ReceivingOffensevs NCAAF WRs▶
Receptions1.834th1002/1529
Receiving Yards1722nd1183/1529
Yards per Catch9.3—
Receiving Touchdowns140th752/1529
Longest Catch1810th1363/1529
Ball SecurityOffensevs NCAAF WRs▶
Fumbles121st1067/1569
Fumbles Lost111th1264/1569
11 games
DateOppRECREC YDSREC TDLONG RECCARRUSH YDS
CCSUNov 29, 2025@URIURI229018——
CCSUNov 8, 2025STOSTO112112——
CCSUNov 1, 2025LIULIU116016——
CCSUOct 18, 2025@WAGWAG1-400——
CCSUOct 11, 2025@RMURMU432012——
CCSUOct 4, 2025SHUSHU543013——
CCSUSep 27, 2025DARTDART112012——
CCSUSep 20, 2025@MRMKMRMK19091-15
CCSUSep 13, 2025SFPASFPA2220141-10
CCSUSep 6, 2025—117017——
CCSUAug 30, 2025@CONNCONN1-100——
By season4 seasons
SeasonGPRECREC YDSYDS/RECREC TDLONG RECRUSH YDSRUSH TD
2025CCSU11201879.3118-250
2024CCSU103258.309573
2023CCSU9—————1826
2022VILL1—————-50

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.