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Eric Willis III

#19Eric Willis III

WR·UTEP·2025

Eric Willis III is a Versatile WR for UTEP. Eric's 2025 season produced 3.3 total EPA across 49 plays.

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 Willis III'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
27 Receptions290 Rec yards2 Rec TD10.7 Yards/rec
Returns
2 Kick returns45 KR yards0 KR TD14 Punt returns88 PR yards0 PR TD

Performance Analysis · 2025 · vs WR peers

  • Efficiency17
  • Volume21
  • Explosiveness25
  • Consistency3
  • Pass-Down78
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)17th %ile · below avg
Game-to-game consistency3th %ile · below avg
Key findings
  • Below-average efficiency vs WR 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.
  • 4 high-impact games (EPA/play > 0.4) this season — elite ceiling.
  • Particularly dangerous on passing downs — efficiency spikes in obvious pass situations.
  • Strong second-half surge — EPA/play improved 0.50 from the first to second half of the season.
  • Peak game: 1.65 EPA/play in Wk 8 vs Sam Houston (SP+ -28).

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
Amare JonesTulane0.1800.012.8
Hyleck FosterMarshall0.1800.518.2
De'Michael HarrisSouthern Miss0.1300.715.2
Davis BrysonKennesaw State0.2000.019.4
Brandon ChatmanNavy0.2300.612.0

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

Game Log · box score + EPA, week by week

+1.6501.65Wk 1 vs Utah State: +0.52 EPA/play1Wk 2 vs UT Martin: -0.13 EPA/play2Wk 3 vs Texas: -0.32 EPA/play3Wk 4 vs UL Monroe: -0.04 EPA/play4Wk 5 vs Louisiana Tech: -0.27 EPA/play5Wk 8 vs Sam Houston: +1.65 EPA/play8Wk 10 vs Kennesaw State: +0.45 EPA/play10Wk 11 vs Jacksonville State: +0.28 EPA/play11Wk 12 vs Missouri State: +0.64 EPA/play12Wk 14 vs Delaware: -0.79 EPA/play14
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
1@Utah StateL16-28-3.15357.00140.52
2vsUT MartinW42-173258.3012-0.13
3@TexasL10-2716.2144.004-0.32
4vsUL MonroeL25-31-21.624120.5032-0.04
5vsLouisiana TechL11-30-1.33186.008-0.27
7vsLibertyL8-19-9.0
8vsSam HoustonW35-17-27.814343.00431.65
10@Kennesaw StateL20-33-5.413636.00360.45
11vsJacksonville StateL27-30-6.722010.01190.28
12@Missouri StateL24-38-10.75459.00150.64
14@DelawareL31-61-10.94235.819-0.79

Usage & Situational · Pro

Snap-share proxy
Overall
7.3%
Passing plays
12.6%
Rushing plays
1.0%
Standard downs
7.4%
Passing downs
7.3%
EPA by down type
Standard downs
0.01
Passing downs
0.18
Pass / Rush EPA
0.22 / -3.49

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.