Skip to content
Gunner Kiel

#11Gunner Kiel

QB·Cincinnati·201411.6 pts line valueDay 2 (Rds 2–3)

Gunner Kiel is a Dual-Threat QB for Cincinnati. Gunner's 2014 season ranks in the 85th percentile nationally by opponent-adjusted EPA per play across 406 plays — a above-average 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 Gunner Kiel'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
233/390 Comp/Att3254 Pass yards31 Pass TD13 INT59.7% Comp %
Rushing
142 Rush yards1 Rush TD63 Carries2.3 Yards/carry
Punting
2 Punts75 Punt yards37.5 Yards/punt42 Long1 Inside 20

Performance Analysis · 2014 · vs QB peers

  • Efficiency85
  • Volume100
  • Dual-Threat78
  • Consistency59
  • 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)85th %ile · above avg
Game-to-game consistency59th %ile · average
Key findings
  • Above-average efficiency for the QB position (85th percentile).
  • High-volume role — one of the team's most-used QBs by play share.
  • 6 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 — 0.42 EPA/play decline from first to second half.
  • Peak game: 0.88 EPA/play in Wk 3 vs Toledo (SP+ 2).

Historical Comparables · QB · efficiency + volume + value

Players from 2013–2025 matched on EPA efficiency, play volume, and adjusted value tier — not just one metric.

PlayerTeamWEPA/playLine valTotal EPA
Stetson BennettGeorgia0.63512.5323.0
Tanner MordecaiSMU0.63014.0321.5
Kaidon SalterLiberty0.71114.7345.6
Malik CunninghamLouisville0.68114.7341.6
Blake SimsAlabama0.69615.4329.4

Comps are statistical — efficiency, volume, and value tier all factor in. Style and conference context differ.

Game Log · box score + EPA, week by week

+0.9200.92Wk 3 vs Toledo: +0.88 EPA/play3Wk 4 vs Miami (OH): +0.47 EPA/play4Wk 5 vs Ohio State: +0.69 EPA/play5Wk 6 vs Memphis: +0.20 EPA/play6Wk 7 vs Miami: +0.11 EPA/play7Wk 8 vs SMU: +0.78 EPA/play8Wk 9 vs South Florida: +0.34 EPA/play9Wk 10 vs Tulane: -0.92 EPA/play10Wk 12 vs East Carolina: +0.58 EPA/play12Wk 14 vs Temple: +0.06 EPA/play14Wk 15 vs Houston: +0.49 EPA/play15Wk 1 vs Virginia Tech: +0.30 EPA/play1
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+C/ATTPass YdsPass TDINTQBRRush YdsRush TDEPA/play
3vsToledoW58-342.325/374186098.02400.88
4vsMiami (OH)W31-24-18.725/392714263.01700.47
5@Ohio StateL28-5025.821/323524071.7-100.69
6vsMemphisL14-415.611/272161115.7700.20
7@MiamiL34-5513.931/573553346.4200.11
8@SMUW41-3-21.213/202411096.95000.78
9vsSouth FloridaW34-17-11.813/221961080.52010.34
10@TulaneW38-14-15.00/10010.0-0.92
12vsEast CarolinaW54-468.529/444364378.9600.58
13@UConnW41-0-14.117/301613167.5280
14@TempleW14-6-4.719/311741039.1-600.06
15vsHoustonW38-315.415/241902082.0-1100.49
1vsVirginia TechL17-337.814/262441234.3600.30

Usage & Situational · Pro

Snap-share proxy
Overall
47.6%
Passing plays
78.5%
Rushing plays
11.9%
Standard downs
41.0%
Passing downs
63.5%
EPA by down type
Standard downs
0.39
Passing downs
0.52
Pass / Rush EPA
0.46 / 0.29

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

Career · rolling EPA, game by game

Per-game EPA5-game avg
+1.060−1.10
EPA per play · 2014 · 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.