Skip to content
Waden Charles

#9Waden Charles

WR·UCF·2025

Waden Charles is a Versatile WR for UCF. Waden's 2025 season produced 14.2 total EPA across 44 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 Waden Charles'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
26 Receptions290 Rec yards0 Rec TD11.2 Yards/rec

Performance Analysis · 2025 · vs WR peers

  • Efficiency100
  • Volume18
  • Explosiveness28
  • Consistency35
  • Pass-Down80
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 consistency35th %ile · below avg
Key findings
  • Top-10% efficiency among WRs — elite opponent-adjusted EPA rate.
  • Limited usage share suggests a rotational or specialist role.
  • High game-to-game variance — boom-or-bust profile.
  • 7 high-impact games (EPA/play > 0.4) this season — elite ceiling.
  • Particularly dangerous on passing downs — efficiency spikes in obvious pass situations.
  • Strong second-half surge — EPA/play improved 0.28 from the first to second half of the season.
  • Peak game: 1.20 EPA/play in Wk 1 vs Jacksonville State (SP+ -7).

NIL Market Tier· 2025

On3 valuation ↗
Star

Top-10 nationally. Multiple mid-to-large collective deals expected.

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
Keytaon ThompsonVirginia0.3200.412.5
Cade HarrisAir Force0.3300.514.8
Nick NashSan José State0.3100.514.0
Ainias SmithTexas A&M0.3100.517.0
Xavier WhiteTexas Tech0.3000.518.6

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

Game Log · box score + EPA, week by week

+1.2001.20Wk 1 vs Jacksonville State: +1.20 EPA/play1Wk 2 vs North Carolina A&T: +0.47 EPA/play2Wk 4 vs North Carolina: -0.26 EPA/play4Wk 5 vs Kansas State: -0.44 EPA/play5Wk 6 vs Kansas: +0.58 EPA/play6Wk 7 vs Cincinnati: -1.04 EPA/play7Wk 8 vs West Virginia: +1.08 EPA/play8Wk 11 vs Houston: -0.27 EPA/play11Wk 12 vs Texas Tech: +0.89 EPA/play12Wk 13 vs Oklahoma State: +0.67 EPA/play13Wk 14 vs BYU: +0.58 EPA/play14
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
1vsJacksonville StateW17-10-6.711818.00181.20
2vsNorth Carolina A&TW68-73186.0070.47
4vsNorth CarolinaW34-9-6.6166.006-0.26
5@Kansas StateL20-347.0-0.44
6vsKansasL20-274.133411.30180.58
7@CincinnatiL11-204.51-1-1.000-1.04
8vsWest VirginiaW45-13-6.834013.30191.08
11vsHoustonL27-307.42136.509-0.27
12@Texas TechL9-4827.623417.00300.89
13vsOklahoma StateW17-14-15.167813.00260.67
14@BYUL21-4115.945012.50160.58

Usage & Situational · Pro

Snap-share proxy
Overall
6.4%
Passing plays
12.2%
Rushing plays
0.3%
Standard downs
6.2%
Passing downs
6.8%
EPA by down type
Standard downs
0.26
Passing downs
0.44
Pass / Rush EPA
0.34 / -0.58

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.