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Jared Goff

#16Jared Goff

QB·California·20152014201315.7 pts line value1st Round

Jared Goff is a 3-year Dual-Threat QB for California. Jared's 2015 season ranks in the 85th percentile nationally by opponent-adjusted EPA per play across 558 plays — a above-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.

2015 Production

Passing
341/529 Comp/Att4719 Pass yards43 Pass TD13 INT64.5% Comp %
Rushing
-8 Rush yards0 Rush TD56 Carries-0.1 Yards/carry
Punting
6 Punts209 Punt yards34.8 Yards/punt45 Long0 Inside 20

Performance Analysis · 2015 · vs QB peers

  • Efficiency85
  • Volume100
  • Dual-Threat97
  • Consistency85
  • Clutch100
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 consistency85th %ile · above avg
Career trajectory:↑ Rising
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.
  • Career trajectory is upward — WEPA value has improved season over season.
  • High game-to-game consistency — reliable floor each week.
  • 7 high-impact games (EPA/play > 0.4) this season — elite ceiling.
  • Particularly dangerous on passing downs — efficiency spikes in obvious pass situations.
  • Peak game: 0.86 EPA/play in Wk 1 vs Air Force (SP+ 5).

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
Kyle TraskFlorida0.64816.3347.5
Will HowardOhio State0.67014.5378.8
J.T. BarrettOhio State0.59314.1341.6
Michael Penix Jr.Washington0.65014.2382.2
Baker MayfieldOklahoma0.56114.1323.7

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

Game Log · box score + EPA, week by week

+0.8600.86Wk 1 vs Grambling: +0.58 EPA/play1Wk 2 vs San Diego State: +0.70 EPA/play2Wk 3 vs Texas: +0.60 EPA/play3Wk 4 vs Washington: +0.36 EPA/play4Wk 5 vs Washington State: +0.43 EPA/play5Wk 6 vs Utah: +0.10 EPA/play6Wk 8 vs UCLA: +0.22 EPA/play8Wk 9 vs USC: +0.29 EPA/play9Wk 10 vs Oregon: +0.10 EPA/play10Wk 11 vs Oregon State: +0.63 EPA/play11Wk 12 vs Stanford: +0.36 EPA/play12Wk 13 vs Arizona State: +0.65 EPA/play13Wk 1 vs Air Force: +0.86 EPA/play1
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+C/ATTPass YdsPass TDINTQBRRush YdsRush TDEPA/play
1vsGramblingW73-1424/323093190.40.58
2vsSan Diego StateW35-78.017/243213186.7-2100.70
3@TexasW45-443.727/372683094.61400.60
4@WashingtonW30-249.724/403422164.9-800.36
5vsWashington StateW34-284.233/453904182.8-3200.43
6@UtahL24-3011.025/473402531.33000.10
8@UCLAL24-4018.632/532953053.2900.22
9vsUSCL21-2716.823/312772283.22300.29
10@OregonL28-4415.918/413292146.5-1700.10
11vsOregon StateW54-24-10.126/374536178.5-1300.63
12@StanfordL22-3522.837/543862078.1-800.36
13vsArizona StateW48-4610.230/515425089.43100.65
1vsAir ForceW55-364.725/374676097.1-1600.86

Usage & Situational · Pro

Snap-share proxy
Overall
58.1%
Passing plays
96.2%
Rushing plays
8.2%
Standard downs
51.6%
Passing downs
75.0%
EPA by down type
Standard downs
0.28
Passing downs
0.71
Pass / Rush EPA
0.44 / 0.39

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.