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JJ Harrell

#1JJ Harrell

JJ Harrell is a Versatile WR for Old Dominion.

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 JJ Harrell'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.

2026 Production

Receiving
6 Receptions81 Rec yards0 Rec TD13.5 Yards/rec

Performance Analysis · 2026 · vs WR peers

  • Efficiency100
  • Volume19
  • Explosiveness43
  • Consistency50
  • Pass-Down0
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
Key findings
  • Top-10% efficiency among WRs — elite opponent-adjusted EPA rate.
  • Limited usage share suggests a rotational or specialist role.
  • Peak game: 0.81 EPA/play in Wk 1 vs Norfolk State.

NIL Market Tier· 2026

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
Dane KinamonAir Force0.4100.716.0
Savion WilliamsTCU0.4501.125.2
Keytaon ThompsonVirginia0.3700.615.2
Micah DavisAir Force0.3700.616.3
Javion PoseyFlorida Atlantic0.4501.423.8

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

Game Log · box score + EPA, week by week

+0.8100.81Wk 1 vs Norfolk State: +0.81 EPA/play1Wk 2 vs Virginia Tech: +0.23 EPA/play2
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
1vsNorfolk StateW31-1034515.00380.81
2@Virginia TechL21-4412.433612.00300.23

Usage & Situational · Pro

Snap-share proxy
Overall
6.7%
Passing plays
18.4%
Rushing plays
0.0%
Standard downs
7.2%
Passing downs
5.7%
EPA by down type
Standard downs
0.76
Passing downs
-0.23
Pass / Rush EPA
0.48 / —

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.