Skip to content
C.J. Daniels

C.J. Daniels

WR·Miami·2025

C.J. Daniels is a Slot Specialist WR for Miami. C.J.'s 2025 season ranks in the 100th percentile nationally by opponent-adjusted EPA per play across 62 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 C.J. Daniels'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
50 Receptions557 Rec yards7 Rec TD11.1 Yards/rec

Performance Analysis · 2025 · vs WR peers

  • Efficiency100
  • Volume23
  • Explosiveness28
  • Consistency72
  • Pass-Down91
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 consistency72th %ile · average
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.
  • 5 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 0.12 from the first to second half of the season.
  • Peak game: 2.31 EPA/play in Wk 14 vs Pittsburgh (SP+ 8).

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

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

Game Log · box score + EPA, week by week

+2.3102.31Wk 1 vs Notre Dame: +1.01 EPA/play1Wk 2 vs Bethune-Cookman: +1.85 EPA/play2Wk 3 vs South Florida: +1.04 EPA/play3Wk 4 vs Florida: -0.17 EPA/play4Wk 6 vs Florida State: +1.66 EPA/play6Wk 8 vs Louisville: +0.16 EPA/play8Wk 9 vs Stanford: -0.22 EPA/play9Wk 14 vs Pittsburgh: +2.31 EPA/play14
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
1vsNotre DameW27-2424.45469.21201.01
2vsBethune-CookmanW45-357314.62401.85
3vsSouth FloridaW49-1211.645614.00271.04
4vsFloridaW26-73.54164.009-0.17
6@Florida StateW28-227.257815.62471.66
8vsLouisvilleL21-2412.477410.60300.16
9vsStanfordW42-7-11.8382.715-0.22
14@PittsburghW38-78.424020.01332.31
20vsOle MissW31-2724.04266.508
20vsOhio StateW24-1430.15499.8013
20vsIndianaL21-2732.446215.5025
20@Texas A&MW10-320.722914.5015

Usage & Situational · Pro

Snap-share proxy
Overall
8.2%
Passing plays
17.4%
Rushing plays
0.0%
Standard downs
6.6%
Passing downs
12.4%
EPA by down type
Standard downs
0.56
Passing downs
0.80
Pass / Rush EPA
0.65 / —

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.