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Marshall Pritchett
Marshall Pritchett

#9Marshall Pritchett

Marshall Pritchett is a Slot Specialist TE for Alabama.

What projects, and what doesn't · TEs · 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)0.42
    Beats guessing the TE average by 9%. n=2,225 TE seasons
  • EPA per play (efficiency)0.04
    Not projectable — we do not forecast this. n=2,016 TE seasons
  • Total EPA (value)0.46
    Beats guessing the TE average by 13%. n=2,016 TE seasons

Across all positions, usage carries year to year at 0.47 and efficiency at 0.07. So Marshall Pritchett'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
7 Receptions57 Rec yards0 Rec TD8.1 Yards/rec

Performance Analysis · 2025 · vs TE peers

  • Efficiency100
  • Volume11
  • Explosiveness8
  • Consistency69
  • Pass-Down29
Player type
Slot Specialist TE

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 consistency69th %ile · average
Key findings
  • Top-10% efficiency among TEs — elite opponent-adjusted EPA rate.
  • Limited usage share suggests a rotational or specialist role.
  • Peak game: 0.72 EPA/play in Wk 13 vs Eastern Illinois.

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 · TE · 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
Johnny LanganRutgers0.2400.08.9
D'Vaughn PennamonOle Miss0.2000.011.0
Jordan MyersRice0.2700.215.9
Johnny LanganRutgers0.3000.017.7
Kaden FeaginIllinois0.1500.07.8

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

Game Log · box score + EPA, week by week

+0.7200.72Wk 2 vs UL Monroe: -0.06 EPA/play2Wk 13 vs Eastern Illinois: +0.72 EPA/play13Wk 15 vs Georgia: +0.27 EPA/play15
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
2vsUL MonroeW73-0-21.62126.0011-0.06
13vsEastern IllinoisW56-04338.30110.72
15vsGeorgiaL7-2824.111212.00120.27

Usage & Situational · Pro

Snap-share proxy
Overall
3.9%
Passing plays
7.6%
Rushing plays
0.0%
Standard downs
3.1%
Passing downs
6.5%
EPA by down type
Standard downs
0.29
Passing downs
0.16
Pass / Rush EPA
0.25 / —

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.