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Cameron Dorner

#4Cameron Dorner

Cameron Dorner is a Versatile WR for North Texas. Cameron's 2025 season ranks in the 100th percentile nationally by opponent-adjusted EPA per play across 71 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 Cameron Dorner'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
55 Receptions886 Rec yards8 Rec TD16.1 Yards/rec

Performance Analysis · 2025 · vs WR peers

  • Efficiency100
  • Volume20
  • Explosiveness61
  • Consistency79
  • 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
Game-to-game consistency79th %ile · above 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 consistency — reliable floor each week.
  • 11 high-impact games (EPA/play > 0.4) this season — elite ceiling.
  • Strong second-half surge — EPA/play improved 0.34 from the first to second half of the season.
  • Peak game: 2.70 EPA/play in Wk 2 vs Western Michigan (SP+ -1).

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

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

Game Log · box score + EPA, week by week

+2.7002.70Wk 1 vs Lamar: +1.70 EPA/play1Wk 2 vs Western Michigan: +2.70 EPA/play2Wk 3 vs Washington State: +0.99 EPA/play3Wk 4 vs Army: +0.13 EPA/play4Wk 5 vs South Alabama: +0.00 EPA/play5Wk 7 vs South Florida: +0.46 EPA/play7Wk 8 vs UTSA: +0.63 EPA/play8Wk 9 vs Charlotte: +0.99 EPA/play9Wk 10 vs Navy: +1.31 EPA/play10Wk 12 vs UAB: +1.31 EPA/play12Wk 13 vs Rice: +1.30 EPA/play13Wk 14 vs Temple: +2.20 EPA/play14Wk 15 vs Tulane: +0.56 EPA/play15
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
1vsLamarW51-079814.01251.70
2@Western MichiganW33-30-1.4144.0142.70
3vsWashington StateW59-103.811919.00190.99
4@ArmyW45-380.834214.00190.13
5vsSouth AlabamaW36-22-12.722512.50190.00
7vsSouth FloridaL36-6311.657314.60280.46
8vsUTSAW55-173.756312.61160.63
9@CharlotteW54-20-26.7711716.71410.99
10vsNavyW31-176.237826.00391.31
12@UABW53-24-15.837324.31351.31
13@RiceW56-24-14.822713.50221.30
14vsTempleW52-25-5.1412531.31772.20
15@TulaneL21-346.367612.70230.56
20vsSan Diego StateW49-476.766611.0231

Usage & Situational · Pro

Snap-share proxy
Overall
7.1%
Passing plays
14.1%
Rushing plays
0.4%
Standard downs
7.2%
Passing downs
6.6%
EPA by down type
Standard downs
1.03
Passing downs
0.43
Pass / Rush EPA
0.91 / 0.18

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.