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Jordan Dwyer

#7Jordan Dwyer

WR·TCU·2025

Jordan Dwyer is a Versatile WR for TCU. Jordan's 2025 season ranks in the 100th percentile nationally by opponent-adjusted EPA per play across 82 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 Jordan Dwyer'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
54 Receptions730 Rec yards7 Rec TD13.5 Yards/rec
Returns
7 Punt returns77 PR yards0 PR TD

Performance Analysis · 2025 · vs WR peers

  • Efficiency100
  • Volume28
  • Explosiveness43
  • Consistency73
  • Pass-Down81
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 consistency73th %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.
  • 8 high-impact games (EPA/play > 0.4) this season — elite ceiling.
  • Particularly dangerous on passing downs — efficiency spikes in obvious pass situations.
  • Peak game: 1.42 EPA/play in Wk 1 vs North Carolina (SP+ -7).

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
Keytaon ThompsonMississippi State0.4601.232.2
DeAndre HughesAir Force0.4701.328.2
Savion WilliamsTCU0.4501.125.2
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

+1.4201.42Wk 1 vs North Carolina: +1.42 EPA/play1Wk 3 vs Abilene Christian: +0.72 EPA/play3Wk 4 vs SMU: +0.05 EPA/play4Wk 5 vs Arizona State: +0.43 EPA/play5Wk 6 vs Colorado: +0.57 EPA/play6Wk 7 vs Kansas State: +0.02 EPA/play7Wk 8 vs Baylor: +0.76 EPA/play8Wk 9 vs West Virginia: -0.28 EPA/play9Wk 11 vs Iowa State: +0.69 EPA/play11Wk 12 vs BYU: +0.07 EPA/play12Wk 13 vs Houston: +0.80 EPA/play13Wk 14 vs Cincinnati: +1.22 EPA/play14
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
1@North CarolinaW48-14-6.6913615.11331.42
3vsAbilene ChristianW42-2158917.81310.72
4vsSMUW35-2413.433210.70140.05
5@Arizona StateL24-273.934214.00190.43
6vsColoradoW35-21-8.33268.70130.57
7@Kansas StateL28-417.023216.00160.02
8vsBaylorW42-361.4711115.91410.76
9@West VirginiaW23-17-6.83268.7011-0.28
11vsIowa StateL17-209.9111089.81190.69
12@BYUL13-4415.92199.50150.07
13@HoustonW17-147.43258.31170.80
14vsCincinnatiW45-234.538428.02691.22

Usage & Situational · Pro

Snap-share proxy
Overall
9.9%
Passing plays
19.3%
Rushing plays
0.0%
Standard downs
8.4%
Passing downs
13.3%
EPA by down type
Standard downs
0.47
Passing downs
0.66
Pass / Rush EPA
0.55 / —

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.