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Dru Deshields

#12Dru Deshields

Dru Deshields is a Volume Passer for Kent State. Dru's 2025 season ranks in the 3th percentile nationally by opponent-adjusted EPA per play across 270 plays — a developing rate for the QB.

What projects, and what doesn't · QBs · held out 2019-2025

How well one season predicts the next, measured on seasons the model never trained on. 1.00 would be perfectly predictable; 0.00 means last year told us nothing.

  • Usage share (volume)0.46
    Beats guessing the QB average by 16%. n=2,421 QB seasons
  • EPA per play (efficiency)0.05
    Not projectable — we do not forecast this. n=1,965 QB seasons
  • Total EPA (value)0.51
    Beats guessing the QB average by 20%. n=1,965 QB seasons

Across all positions, usage carries year to year at 0.47 and efficiency at 0.07. So Dru Deshields's projection is a projection of opportunity — how much of the offense he runs through. How well he converts it is something this model does not claim to know a year in advance, and the number above is why.

2025 Production

Passing
136/240 Comp/Att2030 Pass yards18 Pass TD3 INT56.7% Comp %
Rushing
38 Rush yards3 Rush TD61 Carries0.6 Yards/carry
Punting
3 Punts122 Punt yards40.7 Yards/punt58 Long3 Inside 20

Air yards

Where the ball goes, and how much of the gain is the throw rather than the run after it.

20
Attempts
2.8y
Avg depth
3.7y
After catch
60%
Catch rate

The ball travels 2.8 yards in the air on an average throw 5.0 yards shorter than the median. Another 3.7 comes after the catch.

Where he throws

attempts · completion rate · yards
deep
0
0
0
short
9
56% · 26y
4
75% · 9y
7
57% · 28y
leftmiddleright

Depth and direction come from CFBD’s passing detail, which is backfilled after the games: this covers weeks 1–2 only. Spikes, throwaways and intentional grounding are excluded before any average.

Performance Analysis · 2025 · vs QB peers

  • Efficiency3
  • Volume100
  • Dual-Threat22
  • Consistency80
  • Clutch43
Player type
Volume Passer

High-rep offense that leans on this QB's arm — value comes through cumulative production across a high number of plays.

High play countFranchise-volume role
Peer percentiles
Opponent-adjusted EPA (WEPA/play)3th %ile · below avg
Game-to-game consistency80th %ile · above avg
Key findings
  • Below-average efficiency vs QB peers — value comes through volume, not per-play impact.
  • High-volume role — one of the team's most-used QBs by play share.
  • High game-to-game consistency — reliable floor each week.
  • 3 high-impact games (EPA/play > 0.4) this season — elite ceiling.
  • Peak game: 0.56 EPA/play in Wk 12 vs Akron (SP+ -14).

NIL Market Tier· 2025

On3 valuation ↗
Star

Top-10 nationally. Multiple mid-to-large collective deals expected.

Tier is a model estimate based on position, school brand, performance rank, and usage — not a reported deal. NIL deals are private. For a real market valuation, see On3's NIL profile, which factors in social following and actual deal tracking.

Game Log · box score + EPA, week by week

+0.5600.56Wk 1 vs Merrimack: +0.54 EPA/play1Wk 2 vs Texas Tech: +0.29 EPA/play2Wk 3 vs Buffalo: +0.52 EPA/play3Wk 4 vs Florida State: +0.01 EPA/play4Wk 7 vs Massachusetts: +0.18 EPA/play7Wk 8 vs Toledo: +0.24 EPA/play8Wk 9 vs Bowling Green: +0.34 EPA/play9Wk 11 vs Ball State: +0.07 EPA/play11Wk 12 vs Akron: +0.56 EPA/play12Wk 13 vs Central Michigan: +0.11 EPA/play13Wk 14 vs Northern Illinois: +0.17 EPA/play14
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+C/ATTPass YdsPass TDINTQBRRush YdsRush TDEPA/play
1vsMerrimackW21-176/101181010.2200.54
2@Texas TechL14-6227.67/151161059.92210.29
3vsBuffaloL28-31-7.522/322792065.43710.52
4@Florida StateL10-667.29/181291141.7-900.01
7vsMassachusettsW42-6-36.610/181484019.9-600.18
8@ToledoL10-456.012/231591125.4-2000.24
9vsBowling GreenW24-21-12.613/221601065.31500.34
11@Ball StateL13-17-23.015/272120033.9800.07
12@AkronW42-35-13.917/253175072.3-700.56
13vsCentral MichiganL16-28-8.814/28185006.9-610.11
14@Northern IllinoisW35-31-16.711/222072143.4200.17

Usage & Situational · Pro

Snap-share proxy
Overall
45.9%
Passing plays
87.4%
Rushing plays
12.9%
Standard downs
38.5%
Passing downs
59.8%
EPA by down type
Standard downs
0.28
Passing downs
0.30
Pass / Rush EPA
0.34 / 0.01

Usage = share of team plays (CFBD has no true snap counts).

EPA = expected points added (opponent-adjusted). NIL estimates are model-based ranges, not reported deals. Data: CollegeFootballData. Not betting advice.