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Wesley Grimes

#6Wesley Grimes

Wesley Grimes is a Slot Specialist WR for NC State. Wesley's 2025 season produced 26.7 total EPA across 43 plays.

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 Wesley Grimes'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
31 Receptions458 Rec yards3 Rec TD14.8 Yards/rec

Performance Analysis · 2025 · vs WR peers

  • Efficiency100
  • Volume19
  • Explosiveness52
  • Consistency62
  • 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 consistency62th %ile · average
Key findings
  • Top-10% efficiency among WRs — elite opponent-adjusted EPA rate.
  • Limited usage share suggests a rotational or specialist role.
  • 6 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 — 0.18 EPA/play decline from first to second half.
  • Peak game: 2.15 EPA/play in Wk 5 vs Virginia Tech (SP+ -10).

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
Savion WilliamsTCU0.4501.125.2
Keytaon ThompsonMississippi State0.4601.232.2
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

+2.1502.15Wk 1 vs East Carolina: +1.83 EPA/play1Wk 2 vs Virginia: +0.62 EPA/play2Wk 3 vs Wake Forest: -0.07 EPA/play3Wk 5 vs Virginia Tech: +2.15 EPA/play5Wk 6 vs Campbell: +0.25 EPA/play6Wk 7 vs Notre Dame: -0.70 EPA/play7Wk 9 vs Pittsburgh: -0.41 EPA/play9Wk 10 vs Georgia Tech: +0.92 EPA/play10Wk 13 vs Florida State: +1.10 EPA/play13Wk 14 vs North Carolina: +1.50 EPA/play14
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
1vsEast CarolinaW24-178.0412130.31481.83
2vsVirginiaW35-3111.123316.50210.62
3@Wake ForestW34-245.73196.3014-0.07
5vsVirginia TechL21-23-10.133612.00272.15
6vsCampbellW56-1023417.00270.25
7@Notre DameL7-3624.4-0.70
9@PittsburghL34-538.444511.3037-0.41
10vsGeorgia TechW48-369.344912.30240.92
13vsFlorida StateW21-117.211212.00121.10
14vsNorth CarolinaW42-19-6.656112.21181.50
20vsMemphisW31-77.634816.0131

Usage & Situational · Pro

Snap-share proxy
Overall
6.5%
Passing plays
12.5%
Rushing plays
0.3%
Standard downs
4.8%
Passing downs
10.1%
EPA by down type
Standard downs
0.05
Passing downs
1.22
Pass / Rush EPA
0.67 / -1.37

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.