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Eric Singleton Jr.
Eric Singleton Jr.

#2Eric Singleton Jr.

Eric Singleton Jr. is a Versatile WR for Auburn. Eric's 2025 season ranks in the 67th percentile nationally by opponent-adjusted EPA per play across 90 plays — a average 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 Eric Singleton Jr.'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

Rushing
61 Rush yards0 Rush TD14 Carries4.4 Yards/carry
Receiving
58 Receptions534 Rec yards3 Rec TD9.2 Yards/rec

Performance Analysis · 2025 · vs WR peers

  • Efficiency67
  • Volume35
  • Explosiveness15
  • Consistency28
  • Pass-Down75
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)67th %ile · average
Game-to-game consistency28th %ile · below avg
Key findings
  • High game-to-game variance — boom-or-bust profile.
  • 3 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 — 0.52 EPA/play decline from first to second half.
  • Peak game: 1.78 EPA/play in Wk 2 vs Ball State (SP+ -23).

NIL Market Tier· 2025

On3 valuation ↗
Starter

Meaningful starter. Local collective + position-group deals.

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
Davis BrysonKennesaw State0.2000.019.4
Amare JonesTulane0.1800.012.8
Hyleck FosterMarshall0.1800.518.2
Justin LynchTemple0.2400.315.1
Eli HeidenreichNavy0.2200.815.4

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

Game Log · box score + EPA, week by week

+1.7801.78Wk 2 vs Ball State: +1.78 EPA/play2Wk 3 vs South Alabama: +0.80 EPA/play3Wk 4 vs Oklahoma: -0.03 EPA/play4Wk 5 vs Texas A&M: +0.32 EPA/play5Wk 7 vs Georgia: -0.17 EPA/play7Wk 8 vs Missouri: -0.07 EPA/play8Wk 9 vs Arkansas: +0.26 EPA/play9Wk 10 vs Kentucky: -0.42 EPA/play10Wk 11 vs Vanderbilt: +0.54 EPA/play11Wk 13 vs Mercer: +0.34 EPA/play13Wk 14 vs Alabama: -0.53 EPA/play14
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
1@BaylorW38-241.43206.709
2vsBall StateW42-3-23.046416.02301.78
3vsSouth AlabamaW31-15-12.766510.80140.80
4@OklahomaL17-2418.39606.7018-0.03
5@Texas A&ML10-1620.755611.20370.32
7vsGeorgiaL10-2024.13144.707-0.17
8vsMissouriL17-2314.46325.3016-0.07
9@ArkansasW33-245.125628.00480.26
10vsKentuckyL3-101.82126.009-0.42
11@VanderbiltL38-4520.3111029.31170.54
13vsMercerW62-174276.8090.34
14vsAlabamaL20-2714.83268.7016-0.53

Usage & Situational · Pro

Snap-share proxy
Overall
12.2%
Passing plays
21.2%
Rushing plays
3.3%
Standard downs
12.1%
Passing downs
12.2%
EPA by down type
Standard downs
0.13
Passing downs
0.28
Pass / Rush EPA
0.23 / -0.17

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.