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Derrick Eley

#89Derrick Eley

Derrick Eley is a Vertical Threat WR for Charlotte.

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 Derrick Eley'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
5 Receptions97 Rec yards1 Rec TD19.4 Yards/rec
Returns
18 Kick returns501 KR yards1 KR TD2 Punt returns5 PR yards0 PR TD

Air yards

Where the ball goes, and how much of the gain is the throw rather than the run after it.

9
Targets
16.7y
Avg depth
1.8y
After catch
67%
Catch rate

The ball travels 16.7 yards in the air on an average target 7.8 yards deeper than the median. Another 1.8 comes after the catch.

Where he is targeted

targets · completion rate · yards
deep
1
100% · 38y
2
50% · 43y
0
short
4
50% · 13y
0
2
100% · 24y
leftmiddleright

Depth and direction come from CFBD’s passing detail, which is backfilled after the games: this covers weeks 1–2 only. Spikes, throwaways and intentional grounding are excluded before any average.

Performance Analysis · 2025 · vs WR peers

  • Efficiency100
  • Volume7
  • Explosiveness83
  • Consistency50
  • Pass-Down100
Player type
Vertical Threat WR

Elite deep receiver who stretches the field. Wins downfield, commands safety attention, and creates the threat that opens underneath routes.

Downfield threatYAC upsideCreates space for teammates
Peer percentiles
Opponent-adjusted EPA (WEPA/play)100th %ile · elite
Game-to-game consistency50th %ile · average
Key findings
  • Top-10% efficiency among WRs — elite opponent-adjusted EPA rate.
  • Limited usage share suggests a rotational or specialist role.
  • 4 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 — 2.27 EPA/play decline from first to second half.
  • Peak game: 2.57 EPA/play in Wk 6 vs South Florida (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.

Game Log · box score + EPA, week by week

+2.5702.57Wk 2 vs North Carolina: +2.08 EPA/play2Wk 6 vs South Florida: +2.57 EPA/play6Wk 7 vs Army: +0.69 EPA/play7Wk 8 vs Temple: +1.51 EPA/play8Wk 9 vs North Texas: -1.16 EPA/play9Wk 11 vs East Carolina: +0.32 EPA/play11Wk 12 vs UTSA: -0.64 EPA/play12
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
2vsNorth CarolinaL3-20-6.611111.00112.08
3vsMonmouthW42-35
6@South FloridaL26-5411.611616.01162.57
7@ArmyL7-240.812222.00220.69
8vsTempleL14-49-5.113232.00321.51
9vsNorth TexasL20-5413.8-1.16
11@East CarolinaL22-488.011616.00160.32
12vsUTSAL7-283.7-0.64
14@TulaneL0-276.3

Usage & Situational · Pro

Snap-share proxy
Overall
2.3%
Passing plays
3.6%
Rushing plays
1.0%
Standard downs
2.6%
Passing downs
1.8%
EPA by down type
Standard downs
0.76
Passing downs
2.09
Pass / Rush EPA
1.28 / 0.29

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.