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Cody Kessler

#6Cody Kessler

QB·USC·2015201420137.7 pts line valueDay 3 (Rds 4–7)

Cody Kessler is a 3-year Dual-Threat QB for USC. Cody's 2015 season ranks in the 28th percentile nationally by opponent-adjusted EPA per play across 490 plays — a developing rate for the QB. Cody's production has improved each season, a positive development trajectory.

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 Cody Kessler'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
298/446 Comp/Att3536 Pass yards29 Pass TD7 INT66.8% Comp %
Rushing
-149 Rush yards4 Rush TD61 Carries-2.4 Yards/carry

Performance Analysis · 2015 · vs QB peers

  • Efficiency28
  • Volume100
  • Dual-Threat100
  • Consistency80
  • Clutch81
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)28th %ile · below avg
Game-to-game consistency80th %ile · above avg
Career trajectory:↑ Rising
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.
  • Career trajectory is upward — WEPA value has improved season over season.
  • High game-to-game consistency — reliable floor each week.
  • 8 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 — 0.25 EPA/play decline from first to second half.
  • Peak game: 0.84 EPA/play in Wk 4 vs Arizona State (SP+ 10).

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
Jordan TravisFlorida State0.47610.1328.3
Kyle McCordSyracuse0.50912.1321.4
Sam HartmanWake Forest0.55611.8359.6

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

Game Log · box score + EPA, week by week

+0.8400.84Wk 1 vs Arkansas State: +0.33 EPA/play1Wk 2 vs Idaho: +0.84 EPA/play2Wk 3 vs Stanford: +0.48 EPA/play3Wk 4 vs Arizona State: +0.84 EPA/play4Wk 6 vs Washington: +0.00 EPA/play6Wk 7 vs Notre Dame: +0.41 EPA/play7Wk 8 vs Utah: +0.61 EPA/play8Wk 9 vs California: +0.41 EPA/play9Wk 10 vs Arizona: +0.20 EPA/play10Wk 11 vs Colorado: +0.41 EPA/play11Wk 12 vs Oregon: -0.01 EPA/play12Wk 13 vs UCLA: +0.43 EPA/play13Wk 14 vs Stanford: +0.17 EPA/play14Wk 1 vs Wisconsin: +0.17 EPA/play1
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+C/ATTPass YdsPass TDINTQBRRush YdsRush TDEPA/play
1vsArkansas StateW55-60.519/262404055.1-3500.33
2vsIdahoW59-9-12.226/314103093.3300.84
3vsStanfordL31-4122.825/322723092.01100.48
4@Arizona StateW42-1410.219/333755186.3600.84
6vsWashingtonL12-179.716/29156027.9-2500.00
7@Notre DameL31-4122.430/463652252.7-410.41
8vsUtahW42-2411.021/282641066.6-2510.61
9@CaliforniaW27-2112.118/221860080.2900.41
10vsArizonaW38-304.722/362432037.2-3100.20
11@ColoradoW27-24-4.017/272043158.1-1400.41
12@OregonL28-4815.930/412382059.2-180-0.01
13vsUCLAW40-2118.615/261752055.4-110.43
14vsStanfordL22-4122.822/371871060.6-810.17
1vsWisconsinL21-2315.118/322211145.1-1700.17

Usage & Situational · Pro

Snap-share proxy
Overall
50.5%
Passing plays
96.8%
Rushing plays
4.9%
Standard downs
42.4%
Passing downs
69.4%
EPA by down type
Standard downs
0.25
Passing downs
0.46
Pass / Rush EPA
0.31 / 0.88

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

Career · rolling EPA, game by game

Per-game EPA5-game avg
+0.980−0.6920142015
EPA per play · 2013 — 2015 · 41 games
SeasonTeamLine valueTotal EPA
2013USC
2.2
84.8
2014USC
14.3
312.0
2015USC
7.7
225.1

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.