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Kenny Hill

#7Kenny Hill

QB·TCU·201720164.0 pts line valueDay 3 (Rds 4–7)

Kenny Hill is a 2-year Dual-Threat QB for TCU. Kenny's 2016 season ranks in the 0th percentile nationally by opponent-adjusted EPA per play across 541 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 Kenny Hill'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.

2016 Production

Passing
269/440 Comp/Att3208 Pass yards17 Pass TD13 INT61.1% Comp %
Rushing
609 Rush yards10 Rush TD125 Carries4.9 Yards/carry

Performance Analysis · 2016 · vs QB peers

  • Efficiency0
  • Volume100
  • Dual-Threat100
  • Consistency82
  • Clutch67
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)0th %ile · below avg
Game-to-game consistency82th %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 — 0.16 EPA/play decline from first to second half.
  • Peak game: 0.56 EPA/play in Wk 1 vs South Dakota State.

Game Log · box score + EPA, week by week

+0.5600.56Wk 1 vs South Dakota State: +0.56 EPA/play1Wk 2 vs Arkansas: +0.14 EPA/play2Wk 3 vs Iowa State: +0.46 EPA/play3Wk 4 vs SMU: +0.45 EPA/play4Wk 5 vs Oklahoma: +0.54 EPA/play5Wk 6 vs Kansas: +0.14 EPA/play6Wk 8 vs West Virginia: +0.03 EPA/play8Wk 9 vs Texas Tech: +0.11 EPA/play9Wk 10 vs Baylor: +0.31 EPA/play10Wk 12 vs Oklahoma State: +0.27 EPA/play12Wk 13 vs Texas: +0.25 EPA/play13Wk 14 vs Kansas State: +0.25 EPA/play14Wk 1 vs Georgia: +0.14 EPA/play1
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+C/ATTPass YdsPass TDINTQBRRush YdsRush TDEPA/play
1vsSouth Dakota StateW59-4133/494392286.44530.56
2vsArkansasL38-417.936/563771173.59320.14
3vsIowa StateW41-200.719/302191076.22810.46
4@SMUW33-3-10.831/454522171.5000.45
5vsOklahomaL46-5226.126/444495162.9400.54
6@KansasW24-23-15.917/322061310.53610.14
8@West VirginiaL10-3411.318/311481123.8400.03
9vsTexas TechL24-273.716/291600141.53500.11
10@BaylorW62-2211.317/302441079.08500.31
12vsOklahoma StateL6-3116.418/271661260.57900.27
13@TexasW31-910.615/291500148.27820.25
14vsKansas StateL6-308.25/11520033.45000.25
1vsGeorgiaL23-319.318/271462066.17210.14

Usage & Situational · Pro

Snap-share proxy
Overall
56.0%
Passing plays
87.7%
Rushing plays
21.9%
Standard downs
51.8%
Passing downs
64.7%
EPA by down type
Standard downs
0.24
Passing downs
0.38
Pass / Rush EPA
0.22 / 0.63

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

Career · rolling EPA, game by game

Per-game EPA5-game avg
+1.000−0.302017
EPA per play · 2016 — 2017 · 26 games
SeasonTeamLine valueTotal EPA
2016TCU
4.0
185.3
2017TCU
7.2
225.7

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.