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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.

UCLA

Ethan Garbers

Ethan Garbers ranks 31st of 239 ncaaf qbs in quarterback rating, at 71.5.

94th beats 94% of the NCAAF QBs; 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 QBs▶
Games Played4
EfficiencyOffensevs NCAAF QBs▶
Throws with a Countable Outcome41
Carries with a Countable Outcome4
Points Added per Play0.43—
Total Points Added19.236th307/476
Success Rate Throwing48.8%—
Success Rate Running50%—
PassingOffensevs NCAAF QBs▶
Completions522nd370/478
Pass Attempts718th389/478
Completion Rate71.4%—
Passing Yards63.825th361/478
Yards per Attempt9.1—
Passing Touchdowns222nd357/478
Interceptions Thrown182nd64/478
Quarterback Rating71.587th31/239
RushingOffensevs NCAAF QBs▶
Carries14th461/480
Rushing Yards123rd367/480
Yards per Carry1.0—
Rushing Touchdowns259th160/480
Longest Run53rd461/480
Ball SecurityOffensevs NCAAF QBs▶
Fumbles173rd82/481
Fumbles Lost083rd1/481
4 games
DateOppCMPPASS YDSPASS TDINTQBRCARRUSH YDSRUSH TD
UCLAOct 30, 2022STANSTAN—————1-50
UCLASep 24, 2022@COLOCOLO3-6321016.5120
UCLASep 10, 2022ALSTALST14-181640183.5272
UCLASep 3, 2022BGSUBGSU3-4591099.8———
By season4 seasons
SeasonGPCMPATTCMP%PASS YDSYDS/ATTPASS TDINTQBRRUSH YDSPTS ADDED
2024UCLA1123536364.7%2,7277.5161164.51360.29
2023UCLA78913466.4%9847.39366.4890.39
2022UCLA4202871.4%2559.12171.540.43
2021UCLA5315160.8%3056.02258.6310.25

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.