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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.

SIU

Jake Curry

In success rate throwing, Jake Curry is 274th of 312 ncaaf qbs, at 34.2%.

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 Played6
EfficiencyOffensevs NCAAF QBs▶
Throws with a Countable Outcome158
Carries with a Countable Outcome29
Success Rate Throwing34.2%12th274/312
Success Rate Running55.2%—
PassingOffensevs NCAAF QBs▶
Completions13.759th200/492
Pass Attempts24.565th172/492
Completion Rate55.8%22nd269/343
Passing Yards155.256th216/492
Yards per Attempt6.321st272/343
Passing Touchdowns330th326/492
Interceptions Thrown727th339/492
RushingOffensevs NCAAF QBs▶
Carries7.574th128/494
Rushing Yards26.580th101/494
Yards per Carry3.556th86/193
Rushing Touchdowns370th128/494
Longest Run2455th216/494
Ball SecurityOffensevs NCAAF QBs▶
Fumbles173rd87/495
Fumbles Lost083rd1/495
6 games
DateOppCMPPASS YDSPASS TDINTCARRUSH YDSRUSH TD
SIUNov 16, 2024@SDSTSDST8-155401110
SIUNov 9, 2024YSUYSU19-263223110781
SIUNov 2, 2024@MOSTMOST15-331050115851
SIUOct 26, 2024@INSTINST17-27165016141
SIUOct 12, 2024NDSUNDSU15-27152016-130
SIUOct 5, 2024ILSTILST8-19133027-60
By season3 seasons
SeasonGPCMPATTCMP%PASS YDSYDS/ATTPASS TDINTQBRRUSH YDSPTS ADDED
2026SIU4306446.9%3435.443—950.16
2025SIU33933.3%242.700—13-0.08
2024SIU68214755.8%9316.337—159—

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.