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Micah Hudson

#1Micah Hudson

Micah Hudson is a Red Zone Weapon WR for Texas Tech.

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 Micah 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
8 Receptions112 Rec yards2 Rec TD14.0 Yards/rec
Returns
8 Kick returns154 KR yards0 KR TD

Performance Analysis · 2025 · vs WR peers

  • Efficiency0
  • Volume10
  • Explosiveness47
  • Consistency52
  • Pass-Down50
Player type
Red Zone Weapon WR

Goes from good to great inside the 20 — high TD conversion on limited looks makes this receiver a scoring machine.

Red zone targetHigh TD rateSize/catch radius advantage
Peer percentiles
Opponent-adjusted EPA (WEPA/play)0th %ile · below avg
Game-to-game consistency52th %ile · average
Key findings
  • Below-average efficiency vs WR peers — value comes through volume, not per-play impact.
  • Limited usage share suggests a rotational or specialist role.
  • Strong second-half surge — EPA/play improved 0.35 from the first to second half of the season.
  • Peak game: 1.04 EPA/play in Wk 9 vs Oklahoma State (SP+ -15).

NIL Market Tier· 2025

On3 valuation ↗
Starter

Meaningful starter. Local collective + position-group 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
Amare JonesTulane0.1800.012.8
Brandon ChatmanNavy0.2300.612.0
Amare JonesTulane0.2300.813.3
Tyler BuchnerNotre Dame0.2500.312.8
Eli HeidenreichNavy0.2200.815.4

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

Game Log · box score + EPA, week by week

+1.0401.04Wk 1 vs Arkansas-Pine Bluff: +0.05 EPA/play1Wk 2 vs Kent State: +0.17 EPA/play2Wk 9 vs Oklahoma State: +1.04 EPA/play9Wk 11 vs BYU: -0.12 EPA/play11
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
1vsArkansas-Pine BluffW67-722010.00190.05
2vsKent StateW62-14-19.311111.00110.17
3vsOregon StateW45-14-15.9
6@HoustonW35-117.4
8@Arizona StateL22-263.9
9vsOklahoma StateW42-0-15.123216.00241.04
10@Kansas StateW43-207.0
11vsBYUW29-715.9144.004-0.12
14@West VirginiaW49-0-6.824522.5230

Usage & Situational · Pro

Snap-share proxy
Overall
3.5%
Passing plays
7.4%
Rushing plays
0.0%
Standard downs
2.0%
Passing downs
7.0%
EPA by down type
Standard downs
Passing downs
0.05
Pass / Rush EPA
0.05 / —

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.