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Cooper Rush

#10Cooper Rush

QB·Central Michigan·20156.2 pts line valueDay 3 (Rds 4–7)

Cooper Rush is a Dual-Threat QB for Central Michigan. Cooper's 2015 season ranks in the 13th percentile nationally by opponent-adjusted EPA per play across 499 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 Cooper Rush'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.

2015 Production

Passing
324/489 Comp/Att3848 Pass yards25 Pass TD11 INT66.3% Comp %
Rushing
48 Rush yards3 Rush TD63 Carries0.8 Yards/carry
Punting
1 Punts55 Punt yards55.0 Yards/punt55 Long0 Inside 20

Performance Analysis · 2015 · vs QB peers

  • Efficiency13
  • Volume100
  • Dual-Threat99
  • Consistency83
  • Clutch94
Player type
Dual-Threat QB

A genuine rushing threat who stresses defenses horizontally. Extends plays with legs and forces extra gap assignments.

Rushing threatScrambles for valueStresses defensive structure
Peer percentiles
Opponent-adjusted EPA (WEPA/play)13th %ile · below avg
Game-to-game consistency83th %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.
  • 4 high-impact games (EPA/play > 0.4) this season — elite ceiling.
  • Particularly dangerous on passing downs — efficiency spikes in obvious pass situations.
  • Production faded as the season progressed — 0.19 EPA/play decline from first to second half.
  • Peak game: 0.71 EPA/play in Wk 6 vs Western Michigan (SP+ 5).

Game Log · box score + EPA, week by week

+0.7100.71Wk 1 vs Oklahoma State: +0.27 EPA/play1Wk 2 vs Monmouth: +0.56 EPA/play2Wk 3 vs Syracuse: +0.27 EPA/play3Wk 4 vs Michigan State: +0.33 EPA/play4Wk 5 vs Northern Illinois: +0.33 EPA/play5Wk 6 vs Western Michigan: +0.71 EPA/play6Wk 7 vs Buffalo: +0.68 EPA/play7Wk 8 vs Ball State: +0.44 EPA/play8Wk 9 vs Akron: +0.23 EPA/play9Wk 11 vs Toledo: +0.19 EPA/play11Wk 13 vs Eastern Michigan: +0.18 EPA/play13Wk 1 vs Minnesota: +0.06 EPA/play1
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+C/ATTPass YdsPass TDINTQBRRush YdsRush TDEPA/play
1vsOklahoma StateL13-249.928/412250159.95110.27
2vsMonmouthW31-1025/363283190.0-1200.56
3@SyracuseL27-30-3.937/514302162.0-4000.27
4@Michigan StateL10-3015.626/392851075.1-3100.33
5vsNorthern IllinoisW29-19-0.916/311822155.20.33
6@Western MichiganL39-414.923/323214194.23900.71
7vsBuffaloW51-14-10.323/303134195.0-510.68
8@Ball StateW23-21-15.530/383162169.6-600.44
9@AkronW14-6-0.823/372262151.02100.23
11vsToledoL23-287.733/523492173.02300.19
12@Kent StateW27-14-11.920/343371076.970
13vsEastern MichiganW35-28-19.725/393912169.9400.18
1vsMinnesotaL14-218.115/291450131.7-310.06

Usage & Situational · Pro

Snap-share proxy
Overall
59.7%
Passing plays
98.8%
Rushing plays
9.0%
Standard downs
49.9%
Passing downs
78.2%
EPA by down type
Standard downs
0.22
Passing downs
0.49
Pass / Rush EPA
0.34 / 0.40

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

Career · rolling EPA, game by game

Per-game EPA5-game avg
+0.770−0.00
EPA per play · 2015 · 12 games

Chart shows per-game EPA (bars) and rolling 5-game average (line). Season breaks marked with dashed lines. Line value = est. points over replacement per game.

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