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Jordan Hudson

#2Jordan Hudson

WR·SMU·2025

Jordan Hudson is a Versatile WR for SMU. Jordan's 2025 season ranks in the 100th percentile nationally by opponent-adjusted EPA per play across 86 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 Hudson'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
61 Receptions766 Rec yards6 Rec TD12.6 Yards/rec

Performance Analysis · 2025 · vs WR peers

  • Efficiency100
  • Volume34
  • Explosiveness37
  • Consistency76
  • Pass-Down100
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 consistency76th %ile · above avg
Key findings
  • Top-10% efficiency among WRs — elite opponent-adjusted EPA rate.
  • 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.
  • Production faded as the season progressed — 0.31 EPA/play decline from first to second half.
  • Peak game: 1.42 EPA/play in Wk 4 vs TCU (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
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 East Texas A&M: +0.60 EPA/play1Wk 4 vs TCU: +1.42 EPA/play4Wk 6 vs Syracuse: +0.79 EPA/play6Wk 7 vs Stanford: +1.10 EPA/play7Wk 8 vs Clemson: +1.12 EPA/play8Wk 9 vs Wake Forest: -0.65 EPA/play9Wk 10 vs Miami: +0.65 EPA/play10Wk 11 vs Boston College: +1.23 EPA/play11Wk 13 vs Louisville: +0.74 EPA/play13Wk 14 vs California: +0.15 EPA/play14
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
1vsEast Texas A&MW42-13177.0070.60
4@TCUL24-358.336220.71341.42
6vsSyracuseW31-18-13.16477.81200.79
7vsStanfordW34-10-11.858717.40371.10
8@ClemsonW35-249.5713118.71701.12
9@Wake ForestL12-135.74215.3012-0.65
10vsMiamiW26-2020.71113612.40290.65
11@Boston CollegeW45-13-8.5510420.81441.23
13vsLouisvilleW38-612.489612.01260.74
14@CaliforniaL35-38-3.26589.71200.15
20vsArizonaW24-1912.05173.408

Usage & Situational · Pro

Snap-share proxy
Overall
11.9%
Passing plays
20.9%
Rushing plays
0.6%
Standard downs
10.9%
Passing downs
14.2%
EPA by down type
Standard downs
0.46
Passing downs
0.79
Pass / Rush EPA
0.63 / -1.75

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.