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Devin Voisin

#1Devin Voisin

Devin Voisin is a Versatile WR for South Alabama. Devin's 2025 season ranks in the 100th percentile nationally by opponent-adjusted EPA per play across 101 plays — a elite rate for the WR.

What projects, and what doesn't · WRs · 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)0.47
    Beats guessing the WR average by 16%. n=6,302 WR seasons
  • EPA per play (efficiency)0.09
    Not projectable — we do not forecast this. n=5,767 WR seasons
  • Total EPA (value)0.45
    Beats guessing the WR average by 12%. n=5,767 WR seasons

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

2025 Production

Receiving
67 Receptions775 Rec yards4 Rec TD11.6 Yards/rec
Returns
11 Punt returns125 PR yards0 PR TD

Performance Analysis · 2025 · vs WR peers

  • Efficiency100
  • Volume35
  • Explosiveness30
  • Consistency57
  • Pass-Down100
Player type
Versatile WR

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

Balanced usageMulti-role
Peer percentiles
Opponent-adjusted EPA (WEPA/play)100th %ile · elite
Game-to-game consistency57th %ile · average
Key findings
  • Top-10% efficiency among WRs — elite opponent-adjusted EPA rate.
  • 5 high-impact games (EPA/play > 0.4) this season — elite ceiling.
  • Particularly dangerous on passing downs — efficiency spikes in obvious pass situations.
  • Production faded as the season progressed — 0.32 EPA/play decline from first to second half.
  • Peak game: 1.14 EPA/play in Wk 2 vs Tulane (SP+ 6).

NIL Market Tier· 2025

On3 valuation ↗
Star

Top-10 nationally. Multiple mid-to-large collective deals expected.

Tier is a model estimate based on position, school brand, performance rank, and usage — not a reported deal. NIL deals are private. For a real market valuation, see On3's NIL profile, which factors in social following and actual deal tracking.

Historical Comparables · WR · 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
Malik DunnerBall State0.2900.422.0
Chris TyreeNotre Dame0.3100.623.6
Noah ShortArmy0.3000.520.7
Xavier WhiteTexas Tech0.3000.518.6
Jafar ArmstrongNotre Dame0.3201.025.3

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

Game Log · box score + EPA, week by week

+1.1401.14Wk 1 vs Morgan State: +0.44 EPA/play1Wk 2 vs Tulane: +1.14 EPA/play2Wk 3 vs Auburn: -0.35 EPA/play3Wk 4 vs Coastal Carolina: +0.21 EPA/play4Wk 5 vs North Texas: +1.03 EPA/play5Wk 6 vs Troy: +0.39 EPA/play6Wk 8 vs Arkansas State: +0.56 EPA/play8Wk 9 vs Georgia State: +0.52 EPA/play9Wk 10 vs Louisiana: -0.41 EPA/play10Wk 12 vs UL Monroe: +0.24 EPA/play12Wk 13 vs Southern Miss: +0.08 EPA/play13Wk 14 vs Texas State: -0.06 EPA/play14
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
1vsMorgan StateW38-217699.91310.44
2vsTulaneL31-336.3815219.02651.14
3@AuburnL15-3111.644511.3121-0.35
4vsCoastal CarolinaL20-38-15.189411.80480.21
5@North TexasL22-3613.859719.40361.03
6@TroyL24-31-4.85448.80280.39
8vsArkansas StateL14-15-8.844310.80240.56
9@Georgia StateW38-31-24.579814.00550.52
10vsLouisianaL22-31-10.12126.006-0.41
12@UL MonroeW26-14-21.633411.30150.24
13vsSouthern MissW42-35-7.17365.10130.08
14@Texas StateL26-492.37517.3017-0.06

Usage & Situational · Pro

Snap-share proxy
Overall
12.2%
Passing plays
31.5%
Rushing plays
0.0%
Standard downs
11.6%
Passing downs
13.4%
EPA by down type
Standard downs
0.15
Passing downs
0.63
Pass / Rush EPA
0.32 / —

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

EPA = expected points added (opponent-adjusted). NIL estimates are model-based ranges, not reported deals. Data: CollegeFootballData. Not betting advice.