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Donovan Lewis

#14Donovan Lewis

Donovan Lewis is a Slot Specialist WR for Delaware.

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 Donovan Lewis'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
20 Receptions219 Rec yards1 Rec TD10.9 Yards/rec

Performance Analysis · 2025 · vs WR peers

  • Efficiency100
  • Volume16
  • Explosiveness26
  • Consistency51
  • 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 consistency51th %ile · average
Key findings
  • Top-10% efficiency among WRs — elite opponent-adjusted EPA rate.
  • Limited usage share suggests a rotational or specialist role.
  • 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 — 0.14 EPA/play decline from first to second half.
  • Peak game: 0.86 EPA/play in Wk 6 vs Western Kentucky (SP+ 2).

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
Tyler BuchnerNotre Dame0.2500.312.8
Brandon ChatmanNavy0.2300.612.0
Samajie GrantArizona0.2500.315.5
Justin LynchTemple0.2400.315.1
Nick NashSan José State0.3100.514.0

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

Game Log · box score + EPA, week by week

+0.8600.86Wk 6 vs Western Kentucky: +0.86 EPA/play6Wk 8 vs Jacksonville State: +0.52 EPA/play8Wk 9 vs Middle Tennessee: +0.29 EPA/play9Wk 10 vs Liberty: -0.34 EPA/play10Wk 11 vs Louisiana Tech: -0.30 EPA/play11Wk 12 vs Sam Houston: +0.23 EPA/play12Wk 13 vs Wake Forest: +0.02 EPA/play13Wk 14 vs UTEP: +0.83 EPA/play14
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
6vsWestern KentuckyL24-271.613030.00300.86
8@Jacksonville StateL25-38-6.746215.50260.52
9vsMiddle TennesseeW31-28-16.046215.50220.29
10@LibertyL30-59-9.0273.514-0.34
11vsLouisiana TechW25-24-1.3177.007-0.30
12vsSam HoustonL23-26-27.82178.50120.23
13@Wake ForestL14-525.74123.0080.02
14vsUTEPW61-31-17.522211.00110.83

Usage & Situational · Pro

Snap-share proxy
Overall
5.6%
Passing plays
8.8%
Rushing plays
0.9%
Standard downs
3.3%
Passing downs
10.8%
EPA by down type
Standard downs
-0.39
Passing downs
0.55
Pass / Rush EPA
0.26 / -0.15

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.