Skip to content
D'Vaughn Pennamon
D'Vaughn Pennamon

#28D'Vaughn Pennamon

TE·Ole Miss·20170.0 pts line value1st Round

D'Vaughn Pennamon is a Versatile TE for Ole Miss. D'Vaughn's 2017 season ranks in the 0th percentile nationally by opponent-adjusted EPA per play across 52 plays — a developing rate for the TE.

What projects, and what doesn't · TEs · 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)0.42
    Beats guessing the TE average by 9%. n=2,225 TE seasons
  • EPA per play (efficiency)0.04
    Not projectable — we do not forecast this. n=2,016 TE seasons
  • Total EPA (value)0.46
    Beats guessing the TE average by 13%. n=2,016 TE seasons

Across all positions, usage carries year to year at 0.47 and efficiency at 0.07. So D'Vaughn Pennamon'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.

2017 Production

Rushing
217 Rush yards2 Rush TD53 Carries4.1 Yards/carry
Receiving
10 Receptions84 Rec yards0 Rec TD8.4 Yards/rec
Returns
2 Kick returns55 KR yards0 KR TD

Performance Analysis · 2017 · vs TE peers

  • Efficiency0
  • Volume24
  • Explosiveness9
  • Consistency0
  • Pass-Down13
Player type
Versatile TE

Balanced profile without a single dominant trait — contributes across multiple dimensions.

Balanced usageMulti-role
Peer percentiles
Opponent-adjusted EPA (WEPA/play)0th %ile · below avg
Game-to-game consistency0th %ile · below avg
Key findings
  • Below-average efficiency vs TE peers — value comes through volume, not per-play impact.
  • Limited usage share suggests a rotational or specialist role.
  • High game-to-game variance — boom-or-bust profile.
  • Strong second-half surge — EPA/play improved 0.23 from the first to second half of the season.
  • Peak game: 0.74 EPA/play in Wk 12 vs Texas A&M (SP+ 9).

Historical Comparables · TE · 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
Jackson AckerWisconsin0.2100.115.3
Johnny LanganRutgers0.2400.08.9
Kaden FeaginIllinois0.1500.07.8
Jordan MyersRice0.2700.215.9
Kaden FeaginIllinois0.1800.017.6

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

Game Log · box score + EPA, week by week

+1.1401.14Wk 1 vs South Alabama: +0.19 EPA/play1Wk 2 vs UT Martin: -0.10 EPA/play2Wk 3 vs California: -0.03 EPA/play3Wk 5 vs Alabama: -0.80 EPA/play5Wk 6 vs Auburn: -0.07 EPA/play6Wk 7 vs Vanderbilt: +0.31 EPA/play7Wk 8 vs LSU: +0.09 EPA/play8Wk 9 vs Arkansas: -1.14 EPA/play9Wk 10 vs Kentucky: +0.09 EPA/play10Wk 11 vs Louisiana: +0.53 EPA/play11Wk 12 vs Texas A&M: +0.74 EPA/play12
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
1vsSouth AlabamaW47-27-12.011111.00110.19
2vsUT MartinW45-2325025.0042-0.10
3@CaliforniaL16-27-1.0-0.03
5@AlabamaL3-6633.5-0.80
6@AuburnL23-4424.73144.706-0.07
7vsVanderbiltW57-350.60.31
8vsLSUL24-4021.1122.0020.09
9vsArkansasL37-382.11-1-1.00-1-1.14
10@KentuckyW37-342.7166.0060.09
11vsLouisianaW50-22-15.8122.0020.53
12vsTexas A&ML24-319.40.74

Usage & Situational · Pro

Snap-share proxy
Overall
8.4%
Passing plays
2.3%
Rushing plays
17.3%
Standard downs
10.0%
Passing downs
4.2%
EPA by down type
Standard downs
0.15
Passing downs
-0.08
Pass / Rush EPA
0.07 / 0.13

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

Career · rolling EPA, game by game

Per-game EPA5-game avg
+0.930−1.33
EPA per play · 2017 · 11 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.