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Nathan Peterman

#4Nathan Peterman

QB·Pittsburgh·201613.1 pts line valueDay 2 (Rds 2–3)

Nathan Peterman is a Dual-Threat QB for Pittsburgh. Nathan's 2016 season ranks in the 93th percentile nationally by opponent-adjusted EPA per play across 372 plays — a elite 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 Nathan Peterman'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
185/306 Comp/Att2855 Pass yards27 Pass TD7 INT60.5% Comp %
Rushing
286 Rush yards3 Rush TD72 Carries4.0 Yards/carry

Performance Analysis · 2016 · vs QB peers

  • Efficiency93
  • Volume100
  • Dual-Threat98
  • Consistency87
  • Clutch39
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)93th %ile · elite
Game-to-game consistency87th %ile · above avg
Key findings
  • Top-10% efficiency among QBs — elite opponent-adjusted EPA rate.
  • High-volume role — one of the team's most-used QBs by play share.
  • High game-to-game consistency — reliable floor each week.
  • 8 high-impact games (EPA/play > 0.4) this season — elite ceiling.
  • Peak game: 1.14 EPA/play in Wk 13 vs Syracuse (SP+ -3).

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

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

Game Log · box score + EPA, week by week

+1.1401.14Wk 1 vs Villanova: +0.31 EPA/play1Wk 2 vs Penn State: +0.56 EPA/play2Wk 3 vs Oklahoma State: +0.23 EPA/play3Wk 4 vs North Carolina: +0.61 EPA/play4Wk 5 vs Marshall: +0.74 EPA/play5Wk 6 vs Georgia Tech: +0.60 EPA/play6Wk 7 vs Virginia: +0.49 EPA/play7Wk 9 vs Virginia Tech: +0.65 EPA/play9Wk 10 vs Miami: +0.24 EPA/play10Wk 11 vs Clemson: +0.47 EPA/play11Wk 12 vs Duke: +0.40 EPA/play12Wk 13 vs Syracuse: +1.14 EPA/play13Wk 1 vs Northwestern: +0.37 EPA/play1
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+C/ATTPass YdsPass TDINTQBRRush YdsRush TDEPA/play
1vsVillanovaW28-719/321752053.6-800.31
2vsPenn StateW42-3919.011/15913178.45200.56
3@Oklahoma StateL38-4516.414/292371139.43300.23
4@North CarolinaL36-3715.914/181400089.61910.61
5vsMarshallW43-27-12.717/232802093.41800.74
6vsGeorgia TechW37-347.814/201921073.6-700.60
7@VirginiaW45-31-3.811/211372080.32600.49
9vsVirginia TechL36-3915.213/222671151.83300.65
10@MiamiL28-5118.617/352872146.82500.24
11@ClemsonW43-4228.722/373085076.21800.47
12vsDukeW56-14-2.811/182373183.3300.40
13vsSyracuseW76-61-2.79/182514198.37911.14
1vsNorthwesternL24-312.913/182531190.0-510.37

Usage & Situational · Pro

Snap-share proxy
Overall
43.2%
Passing plays
94.9%
Rushing plays
11.6%
Standard downs
34.9%
Passing downs
62.0%
EPA by down type
Standard downs
0.49
Passing downs
0.48
Pass / Rush EPA
0.51 / 0.39

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

Career · rolling EPA, game by game

Per-game EPA5-game avg
+1.23+0.14
EPA per play · 2016 · 13 games

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.