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Eli Wood

#7Eli Wood

Eli Wood is a Slot Specialist WR for Virginia.

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 Eli Wood'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
16 Receptions205 Rec yards2 Rec TD12.8 Yards/rec

Performance Analysis · 2025 · vs WR peers

  • Efficiency100
  • Volume10
  • Explosiveness39
  • Consistency69
  • Pass-Down100
Player type
Slot Specialist WR

The offense's primary passing-down weapon — routes, separation, and reliability on 3rd down define this role.

3rd-down converterRoute technicianHigh passing-down share
Peer percentiles
Opponent-adjusted EPA (WEPA/play)100th %ile · elite
Game-to-game consistency69th %ile · average
Key findings
  • Top-10% efficiency among WRs — elite opponent-adjusted EPA rate.
  • Limited usage share suggests a rotational or specialist role.
  • 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 — 0.95 EPA/play decline from first to second half.
  • Peak game: 1.79 EPA/play in Wk 5 vs Florida State (SP+ 7).

NIL Market Tier· 2025

On3 valuation ↗
Elite

Top-3 player at position nationally. Collective + national brand 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
Quadree HendersonPittsburgh0.5301.633.4
DeAndre HughesAir Force0.4701.328.2
Keytaon ThompsonMississippi State0.4601.232.2
Bert Emanuel Jr.Central Michigan0.4601.624.4
Savion WilliamsTCU0.4501.125.2

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

Game Log · box score + EPA, week by week

+1.7901.79Wk 2 vs NC State: +0.47 EPA/play2Wk 4 vs Stanford: +0.79 EPA/play4Wk 5 vs Florida State: +1.79 EPA/play5Wk 10 vs California: +1.35 EPA/play10Wk 11 vs Wake Forest: +0.06 EPA/play11Wk 12 vs Duke: -0.38 EPA/play12Wk 14 vs Virginia Tech: +0.35 EPA/play14Wk 15 vs Duke: +0.58 EPA/play15
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
2@NC StateL31-354.811010.00100.47
4vsStanfordW48-20-11.8144.0140.79
5vsFlorida StateW46-387.222914.50211.79
6@LouisvilleW30-2712.4
10@CaliforniaW31-21-3.224623.00381.35
11vsWake ForestL9-165.7155.0050.06
12@DukeW34-176.6133.003-0.38
14vsVirginia TechW27-7-10.1177.0070.35
15vsDukeL20-276.633010.01180.58
20vsMissouriW13-714.447117.8035

Usage & Situational · Pro

Snap-share proxy
Overall
3.6%
Passing plays
7.2%
Rushing plays
0.3%
Standard downs
3.0%
Passing downs
4.9%
EPA by down type
Standard downs
0.18
Passing downs
1.72
Pass / Rush EPA
0.80 / 2.21

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.