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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.

MINN

Logan Loya

Logan Loya places 425th of 475 ncaaf wrs in kick return yards, at 1.1 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▶
Points Added per Play1.53—
Total Points Added47.679th257/1214
ReceivingOffensevs NCAAF WRs▶
Receptions2.659th612/1482
Receiving Yards31.653rd696/1482
Yards per Catch12.037th423/671
Receiving Touchdowns479th256/1482
Longest Catch2926th1087/1482
Ball SecurityOffensevs NCAAF WRs▶
Fumbles066th1/1510
Fumbles Lost059th1/1510
Special Teamsvs NCAAF WRs▶
Kick Returns113th352/475
Kick Return Yards1.111th425/475
Kick Return Touchdowns048th17/475
Punt Returns545th212/405
Punt Return Yards5.154th188/405
Punt Return Touchdowns046th30/405
11 games
DateOppRECREC YDSREC TDLONG REC
UCLANov 30, 2024FRESFRES240021
UCLANov 24, 2024USCUSC1909
UCLANov 16, 2024@WASHWASH1505
UCLANov 9, 2024IOWAIOWA594129
UCLANov 2, 2024@NEBNEB219017
UCLAOct 19, 2024@RUTGRUTG327114
UCLAOct 13, 2024MINNMINN445017
UCLAOct 5, 2024@PSUPSU#7657118
UCLASep 21, 2024@LSULSU#16446116
UCLASep 14, 2024IUIU1606
UCLAAug 31, 2024@HAWHAW————
By season5 seasons
SeasonGPRECREC YDSYDS/RECREC TDLONG RECRUSH YDSRUSH TD
2025MINN710616.1010-50
2024UCLA112934812.0429——
2023UCLA125865011.2549——
2022UCLA101525817.2270——
2021UCLA322211.0018——

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.