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Sam Darnold

#14Sam Darnold

QB·USC·2017201613.4 pts line valueDay 2 (Rds 2–3)

Sam Darnold is a 2-year Clutch Passer for USC. Sam's 2016 season ranks in the 83th percentile nationally by opponent-adjusted EPA per play across 403 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 Sam Darnold'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.

2016 Production

Passing
246/366 Comp/Att3086 Pass yards31 Pass TD9 INT67.2% Comp %
Rushing
250 Rush yards2 Rush TD62 Carries4.0 Yards/carry

Performance Analysis · 2016 · vs QB peers

  • Efficiency83
  • Volume100
  • Dual-Threat38
  • Consistency80
  • Clutch100
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)83th %ile · above avg
Game-to-game consistency80th %ile · above avg
Key findings
  • Above-average efficiency for the QB position (83th percentile).
  • High-volume role — one of the team's most-used QBs by play share.
  • High game-to-game consistency — reliable floor each week.
  • 9 high-impact games (EPA/play > 0.4) this season — elite ceiling.
  • Particularly dangerous on passing downs — efficiency spikes in obvious pass situations.
  • Strong second-half surge — EPA/play improved 0.15 from the first to second half of the season.
  • Peak game: 0.78 EPA/play in Wk 2 vs Utah State (SP+ -4).

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
Kaidon SalterLiberty0.71114.7345.6
Tanner MordecaiSMU0.63014.0321.5
Blake SimsAlabama0.69615.4329.4
Stetson BennettGeorgia0.63512.5323.0
Malik CunninghamLouisville0.68114.7341.6

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

Game Log · box score + EPA, week by week

+0.7800.78Wk 1 vs Alabama: -0.14 EPA/play1Wk 2 vs Utah State: +0.78 EPA/play2Wk 3 vs Stanford: -0.26 EPA/play3Wk 4 vs Utah: +0.46 EPA/play4Wk 5 vs Arizona State: +0.67 EPA/play5Wk 6 vs Colorado: +0.46 EPA/play6Wk 7 vs Arizona: +0.63 EPA/play7Wk 9 vs California: +0.52 EPA/play9Wk 10 vs Oregon: +0.56 EPA/play10Wk 11 vs Washington: +0.49 EPA/play11Wk 12 vs UCLA: +0.39 EPA/play12Wk 13 vs Notre Dame: +0.35 EPA/play13Wk 1 vs Penn State: +0.57 EPA/play1
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+C/ATTPass YdsPass TDINTQBRRush YdsRush TDEPA/play
1vsAlabamaL6-5231.74/8290011.890-0.14
2vsUtah StateW45-7-4.45/7622093.5300.78
3@StanfordL10-2716.45/7450135.9-0.26
4@UtahL27-3110.918/262530083.54110.46
5vsArizona StateW41-20-3.023/333523093.3810.67
6vsColoradoW21-176.325/373583171.32200.46
7@ArizonaW48-14-4.520/322355094.05400.63
9vsCaliforniaW45-242.418/252315174.41200.52
10vsOregonW45-206.128/403092172.62300.56
11@WashingtonW26-1326.723/332872277.71500.49
12@UCLAW36-149.125/362672275.62700.39
13vsNotre DameW45-2715.719/292052061.91600.35
1vsPenn StateW52-4919.033/534535179.42000.57

Usage & Situational · Pro

Snap-share proxy
Overall
43.5%
Passing plays
78.6%
Rushing plays
11.3%
Standard downs
36.6%
Passing downs
59.5%
EPA by down type
Standard downs
0.34
Passing downs
0.72
Pass / Rush EPA
0.55 / 0.09

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

Career · rolling EPA, game by game

Per-game EPA5-game avg
+0.940−0.362017
EPA per play · 2016 — 2017 · 27 games
SeasonTeamLine valueTotal EPA
2016USC
13.4
290.5
2017USC
10.9
301.1

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.