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Donnel Pumphrey

#19Donnel Pumphrey

RB·San Diego State·2016201520144.2 pts line valueDay 2 (Rds 2–3)

Donnel Pumphrey is a 3-year Featured Back for San Diego State. Donnel's 2016 season ranks in the 30th percentile nationally by opponent-adjusted EPA per play across 353 plays — a developing rate for the RB. Production has trended downward season-over-season on adjusted value metrics.

What projects, and what doesn't · RBs · 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)0.52
    Beats guessing the RB average by 18%. n=4,219 RB seasons
  • EPA per play (efficiency)0.10
    Not projectable — we do not forecast this. n=3,575 RB seasons
  • Total EPA (value)0.41
    Beats guessing the RB average by 9%. n=3,575 RB seasons

Across all positions, usage carries year to year at 0.47 and efficiency at 0.07. So Donnel Pumphrey'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

Rushing
2133 Rush yards17 Rush TD349 Carries6.1 Yards/carry
Receiving
27 Receptions231 Rec yards0 Rec TD8.6 Yards/rec
Returns
1 Kick returns6 KR yards0 KR TD

Performance Analysis · 2016 · vs RB peers

  • Efficiency30
  • Volume100
  • Explosiveness62
  • Consistency77
  • Receiving55
Player type
Featured Back

The centerpiece of the run game — high carry volume, used in early downs and goal-line, true workhorse role.

Primary ball carrierHigh volumeGoal-line threat
Peer percentiles
Opponent-adjusted EPA (WEPA/play)30th %ile · below avg
Game-to-game consistency77th %ile · above avg
Career trajectory:↓ Declining
Key findings
  • Below-average efficiency vs RB peers — value comes through volume, not per-play impact.
  • High-volume role — one of the team's most-used RBs by play share.
  • Production has slipped season-over-season on adjusted value metrics.
  • High game-to-game consistency — reliable floor each week.
  • 4 high-impact games (EPA/play > 0.4) this season — elite ceiling.
  • Particularly dangerous on passing downs — efficiency spikes in obvious pass situations.
  • Peak game: 0.59 EPA/play in Wk 2 vs California (SP+ 2).

Historical Comparables · RB · 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
Jeremy McNicholsBoise State0.3304.7112.2
Eno BenjaminArizona State0.3304.6104.3
D'Onta ForemanTexas0.3405.3112.9
Jonathan TaylorWisconsin0.3504.8107.4
Breece HallIowa State0.3404.5102.3

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

Game Log · box score + EPA, week by week

+0.5900.59Wk 1 vs New Hampshire: +0.14 EPA/play1Wk 2 vs California: +0.59 EPA/play2Wk 3 vs Northern Illinois: +0.41 EPA/play3Wk 5 vs South Alabama: -0.02 EPA/play5Wk 6 vs UNLV: +0.14 EPA/play6Wk 7 vs Fresno State: +0.24 EPA/play7Wk 8 vs San José State: +0.31 EPA/play8Wk 9 vs Utah State: +0.44 EPA/play9Wk 10 vs Hawai'i: +0.24 EPA/play10Wk 11 vs Nevada: +0.48 EPA/play11Wk 12 vs Wyoming: +0.14 EPA/play12Wk 13 vs Colorado State: +0.03 EPA/play13Wk 14 vs Wyoming: +0.03 EPA/play14Wk 1 vs Houston: +0.14 EPA/play1
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+CarRush YdsAvgRush TDRecRec YdsRec TDEPA/play
1vsNew HampshireW31-021984.7144100.14
2vsCaliforniaW45-402.4292819.7342900.59
3@Northern IllinoisW42-28-2.4232209.631-300.41
5@South AlabamaL24-42-9.4251516.01270-0.02
6vsUNLVW26-7-14.3311414.5175700.14
7@Fresno StateW17-3-16.9382205.820.24
8vsSan José StateW42-3-13.6241355.6221400.31
9@Utah StateW40-13-4.4322237.000.44
10vsHawai'iW55-0-10.1211125.300.24
11@NevadaW46-16-13.0261987.610.48
12@WyomingL33-34-6.917764.5055200.14
13vsColorado StateL31-630.818532.911800.03
14@WyomingW27-24-6.9251104.410.03
1vsHoustonW34-1010.1191156.1112600.14

Usage & Situational · Pro

Snap-share proxy
Overall
42.6%
Passing plays
13.0%
Rushing plays
57.2%
Standard downs
48.7%
Passing downs
29.6%
EPA by down type
Standard downs
0.20
Passing downs
0.45
Pass / Rush EPA
0.23 / 0.25

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

Career · rolling EPA, game by game

Per-game EPA5-game avg
+0.790−0.6520152016
EPA per play · 2014 — 2016 · 40 games
SeasonTeamLine valueTotal EPA
2014San Diego State
5.0
93.5
2015San Diego State
2.6
73.2
2016San Diego State
4.2
110.1

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.