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Kevin Hogan

#8Kevin Hogan

QB·Stanford·2015201411.6 pts line valueDay 2 (Rds 2–3)

Kevin Hogan is a 2-year Dual-Threat QB for Stanford. Kevin's 2015 season ranks in the 88th percentile nationally by opponent-adjusted EPA per play across 375 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 Kevin Hogan'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
206/304 Comp/Att2867 Pass yards27 Pass TD8 INT67.8% Comp %
Rushing
336 Rush yards6 Rush TD85 Carries4.0 Yards/carry

Performance Analysis · 2015 · vs QB peers

  • Efficiency88
  • Volume100
  • Dual-Threat94
  • Consistency83
  • Clutch60
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)88th %ile · above avg
Game-to-game consistency83th %ile · above avg
Key findings
  • Above-average efficiency for the QB position (88th percentile).
  • High-volume role — one of the team's most-used QBs by play share.
  • High game-to-game consistency — reliable floor each week.
  • 10 high-impact games (EPA/play > 0.4) this season — elite ceiling.
  • Production faded as the season progressed — 0.08 EPA/play decline from first to second half.
  • Peak game: 0.96 EPA/play in Wk 13 vs Notre Dame (SP+ 22).

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

+0.9600.96Wk 1 vs Northwestern: -0.10 EPA/play1Wk 2 vs UCF: +0.58 EPA/play2Wk 3 vs USC: +0.87 EPA/play3Wk 4 vs Oregon State: +0.48 EPA/play4Wk 5 vs Arizona: +0.63 EPA/play5Wk 7 vs UCLA: +0.60 EPA/play7Wk 8 vs Washington: +0.60 EPA/play8Wk 9 vs Washington State: +0.13 EPA/play9Wk 10 vs Colorado: +0.57 EPA/play10Wk 11 vs Oregon: +0.34 EPA/play11Wk 12 vs California: +0.14 EPA/play12Wk 13 vs Notre Dame: +0.96 EPA/play13Wk 14 vs USC: +0.48 EPA/play14Wk 1 vs Iowa: +0.47 EPA/play1
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+C/ATTPass YdsPass TDINTQBRRush YdsRush TDEPA/play
1@NorthwesternL6-160.220/351550128.0-90-0.10
2vsUCFW31-7-15.517/293413077.61200.58
3@USCW41-3116.818/232792098.22800.87
4@Oregon StateW42-24-10.19/141632190.1200.48
5vsArizonaW55-174.717/192172090.0100.63
7vsUCLAW56-3518.68/151313194.9300.60
8vsWashingtonW31-149.717/242902177.83700.60
9@Washington StateW30-284.210/19860161.311220.13
10@ColoradoW42-10-4.017/231692197.14010.57
11vsOregonL36-3815.928/373042174.94810.34
12vsCaliforniaW35-2212.17/12961051.7200.14
13vsNotre DameW38-3622.417/212694096.31800.96
14vsUSCW41-2216.89/121441078.71810.48
1vsIowaW45-169.312/212233188.22410.47

Usage & Situational · Pro

Snap-share proxy
Overall
41.2%
Passing plays
96.1%
Rushing plays
11.2%
Standard downs
32.8%
Passing downs
63.7%
EPA by down type
Standard downs
0.44
Passing downs
0.54
Pass / Rush EPA
0.50 / 0.37

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

Career · rolling EPA, game by game

Per-game EPA5-game avg
+1.160−1.272015
EPA per play · 2014 — 2015 · 27 games
SeasonTeamLine valueTotal EPA
2014Stanford
6.3
188.7
2015Stanford
11.6
266.1

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.