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Jared Goff

#16Jared Goff

QB·California·20152014201312.1 pts line valueDay 2 (Rds 2–3)

Jared Goff is a 3-year Clutch Passer for California. Jared's 2014 season ranks in the 57th percentile nationally by opponent-adjusted EPA per play across 533 plays — a average rate for the QB. Jared'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 Jared Goff'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.

Recruiting Profile· Class of 2013

4-Star · High major target
Stars
247 composite
0.9154
National rank
#218
High school
Marin Catholic
Hometown
Greenbrae, CA

Recruiting data from CFBD/247Sports composite. Sourced from the player's signing-class team — transfers show original school's class.

2014 Production

Passing
316/509 Comp/Att3973 Pass yards35 Pass TD7 INT62.1% Comp %
Rushing
-44 Rush yards0 Rush TD55 Carries-0.8 Yards/carry
Punting
3 Punts122 Punt yards40.7 Yards/punt50 Long2 Inside 20

Performance Analysis · 2014 · vs QB peers

  • Efficiency57
  • Volume100
  • Dual-Threat16
  • Consistency78
  • Clutch78
Player type
Clutch Passer

Elevates on passing downs — 3rd-and-medium, two-minute drills, and pressure situations are where this QB is best.

3rd-down precisionLate-game valueHigh passing-down EPA
Peer percentiles
Opponent-adjusted EPA (WEPA/play)57th %ile · average
Game-to-game consistency78th %ile · above avg
Career trajectory:↑ Rising
Key findings
  • 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.
  • 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 — 0.34 EPA/play decline from first to second half.
  • Peak game: 0.91 EPA/play in Wk 2 vs Sacramento State.

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
Ryan HigginsLouisiana Tech0.58613.7334.6
Baker MayfieldOklahoma0.56114.1323.7
Trace McSorleyPenn State0.51312.7321.0
J.T. BarrettOhio State0.59314.1341.6

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

Game Log · box score + EPA, week by week

+0.9100.91Wk 1 vs Northwestern: +0.51 EPA/play1Wk 2 vs Sacramento State: +0.91 EPA/play2Wk 4 vs Arizona: +0.54 EPA/play4Wk 5 vs Colorado: +0.71 EPA/play5Wk 6 vs Washington State: +0.61 EPA/play6Wk 7 vs Washington: -0.01 EPA/play7Wk 8 vs UCLA: +0.13 EPA/play8Wk 9 vs Oregon: +0.29 EPA/play9Wk 10 vs Oregon State: +0.15 EPA/play10Wk 12 vs USC: +0.20 EPA/play12Wk 13 vs Stanford: +0.05 EPA/play13Wk 14 vs BYU: +0.40 EPA/play14
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+C/ATTPass YdsPass TDINTQBRRush YdsRush TDEPA/play
1@NorthwesternW31-241.521/342813183.1-100.51
2vsSacramento StateW55-1417/222294097.31700.91
4@ArizonaL45-497.618/303803182.2-2800.54
5vsColoradoW59-56-5.024/424587188.9-1200.71
6@Washington StateW60-59-1.737/535275090.7-900.61
7vsWashingtonL7-317.835/513040026.6-390-0.01
8vsUCLAL34-3617.725/413032163.2-100.13
9vsOregonL41-5924.732/523602056.8-100.29
10@Oregon StateW45-313.224/472771056.9100.15
12@USCL30-3817.129/462793046.9-300.20
13vsStanfordL17-3821.416/311821228.2900.05
14vsBYUL35-4210.238/603934178.02300.40

Usage & Situational · Pro

Snap-share proxy
Overall
57.1%
Passing plays
95.0%
Rushing plays
7.9%
Standard downs
48.7%
Passing downs
76.3%
EPA by down type
Standard downs
0.27
Passing downs
0.46
Pass / Rush EPA
0.37 / -0.02

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

Career · rolling EPA, game by game

Per-game EPA5-game avg
+1.030−0.4520142015
EPA per play · 2013 — 2015 · 37 games
SeasonTeamLine valueTotal EPA
2013California
1.5
90.0
2014California
12.1
275.4
2015California
15.7
341.0

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.