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Trell Harris

#11Trell Harris

Trell Harris is a Versatile WR for Virginia. Trell's 2025 season ranks in the 100th percentile nationally by opponent-adjusted EPA per play across 81 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 Trell Harris'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
59 Receptions847 Rec yards5 Rec TD14.4 Yards/rec

Performance Analysis · 2025 · vs WR peers

  • Efficiency100
  • Volume24
  • Explosiveness49
  • Consistency68
  • Pass-Down51
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 consistency68th %ile · average
Key findings
  • Top-10% efficiency among WRs — elite opponent-adjusted EPA rate.
  • Limited usage share suggests a rotational or specialist role.
  • 8 high-impact games (EPA/play > 0.4) this season — elite ceiling.
  • Production faded as the season progressed — 0.16 EPA/play decline from first to second half.
  • Peak game: 1.88 EPA/play in Wk 4 vs Stanford (SP+ -12).

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
Savion WilliamsTCU0.4501.125.2
Bert Emanuel Jr.Central Michigan0.4601.624.4

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

Game Log · box score + EPA, week by week

+1.8801.88Wk 1 vs Coastal Carolina: +1.13 EPA/play1Wk 2 vs NC State: +0.63 EPA/play2Wk 3 vs William & Mary: +0.55 EPA/play3Wk 4 vs Stanford: +1.88 EPA/play4Wk 5 vs Florida State: +1.05 EPA/play5Wk 6 vs Louisville: -0.51 EPA/play6Wk 8 vs Washington State: -0.12 EPA/play8Wk 9 vs North Carolina: +1.03 EPA/play9Wk 10 vs California: +1.02 EPA/play10Wk 11 vs Wake Forest: +0.36 EPA/play11Wk 12 vs Duke: +1.50 EPA/play12Wk 14 vs Virginia Tech: -0.14 EPA/play14Wk 15 vs Duke: -0.00 EPA/play15
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
1vsCoastal CarolinaW48-7-15.139331.00481.13
2@NC StateL31-354.87527.40140.63
3vsWilliam & MaryW55-164317.8090.55
4vsStanfordW48-20-11.8414536.33751.88
5vsFlorida StateW46-387.234515.00281.05
6@LouisvilleW30-2712.45183.608-0.51
8vsWashington StateW22-203.822110.5013-0.12
9@North CarolinaW17-16-6.647218.01301.03
10@CaliforniaW31-21-3.256813.60181.02
11vsWake ForestL9-165.766010.00170.36
12@DukeW34-176.6816120.11561.50
14vsVirginia TechW27-7-10.15438.6026-0.14
15vsDukeL20-276.633812.7023-0.00

Usage & Situational · Pro

Snap-share proxy
Overall
8.5%
Passing plays
17.9%
Rushing plays
0.0%
Standard downs
7.4%
Passing downs
10.9%
EPA by down type
Standard downs
0.69
Passing downs
0.70
Pass / Rush EPA
0.69 / —

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.