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Drew Hare

#12Drew Hare

QB·Northern Illinois·20145.9 pts line valueDay 3 (Rds 4–7)

Drew Hare is a Dual-Threat QB for Northern Illinois. Drew's 2014 season ranks in the 25th percentile nationally by opponent-adjusted EPA per play across 463 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 Drew Hare'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.

2014 Production

Passing
194/326 Comp/Att2322 Pass yards18 Pass TD2 INT59.5% Comp %
Rushing
900 Rush yards8 Rush TD159 Carries5.7 Yards/carry
Punting
1 Punts7 Punt yards7.0 Yards/punt7 Long0 Inside 20

Performance Analysis · 2014 · vs QB peers

  • Efficiency25
  • Volume100
  • Dual-Threat96
  • Consistency83
  • Clutch100
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)25th %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.
  • 5 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 — 0.24 EPA/play decline from first to second half.
  • Peak game: 0.74 EPA/play in Wk 2 vs Northwestern (SP+ 2).

Game Log · box score + EPA, week by week

+0.7400.74Wk 1 vs Presbyterian: +0.41 EPA/play1Wk 2 vs Northwestern: +0.74 EPA/play2Wk 3 vs UNLV: +0.70 EPA/play3Wk 4 vs Arkansas: +0.40 EPA/play4Wk 6 vs Kent State: +0.15 EPA/play6Wk 7 vs Central Michigan: +0.31 EPA/play7Wk 8 vs Miami (OH): +0.69 EPA/play8Wk 9 vs Eastern Michigan: +0.35 EPA/play9Wk 11 vs Ball State: -0.02 EPA/play11Wk 12 vs Toledo: +0.26 EPA/play12Wk 13 vs Ohio: +0.35 EPA/play13Wk 14 vs Western Michigan: +0.19 EPA/play14Wk 15 vs Bowling Green: +0.19 EPA/play15Wk 1 vs Marshall: +0.41 EPA/play1
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+C/ATTPass YdsPass TDINTQBRRush YdsRush TDEPA/play
1vsPresbyterianW55-38/131001087.35100.41
2@NorthwesternW23-151.56/101092075.93110.74
3@UNLVW48-34-17.618/282853095.07410.70
4@ArkansasL14-5212.218/291792029.31700.40
6vsKent StateW17-14-13.78/15930054.63400.15
7vsCentral MichiganL17-34-5.218/332312145.42800.31
8vsMiami (OH)W51-41-18.712/161851097.918020.69
9@Eastern MichiganW28-17-25.98/14440097.516610.35
11@Ball StateW35-21-6.616/271260031.6400-0.02
12vsToledoW27-242.314/221901052.36600.26
13@OhioW21-14-11.715/231782084.76700.35
14@Western MichiganW31-21-0.89/201591045.73620.19
15vsBowling GreenW51-17-5.429/492182171.56010.19
1vsMarshallL23-5216.815/272251062.75000.41

Usage & Situational · Pro

Snap-share proxy
Overall
44.4%
Passing plays
85.0%
Rushing plays
22.1%
Standard downs
39.4%
Passing downs
57.2%
EPA by down type
Standard downs
0.17
Passing downs
0.64
Pass / Rush EPA
0.32 / 0.38

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

Career · rolling EPA, game by game

Per-game EPA5-game avg
+0.820−0.09
EPA per play · 2014 · 14 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.