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Malachi Thomas
Malachi Thomas

#12Malachi Thomas

TE·Pittsburgh·2025

Malachi Thomas is a Slot Specialist TE for Pittsburgh.

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 Malachi Thomas'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
13 Receptions192 Rec yards2 Rec TD14.8 Yards/rec

Performance Analysis · 2025 · vs TE peers

  • Efficiency100
  • Volume8
  • Explosiveness52
  • Consistency76
  • Pass-Down100
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 consistency76th %ile · above avg
Key findings
  • ▸Top-10% efficiency among TEs — 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 0.16 from the first to second half of the season.
  • ▸Peak game: 2.10 EPA/play in Wk 13 vs Georgia Tech (SP+ 9).

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.

Game Log · box score + EPA, week by week

+2.100−2.10Wk 1 vs Duquesne: +1.63 EPA/play1Wk 3 vs West Virginia: +0.83 EPA/play3Wk 5 vs Louisville: +0.08 EPA/play5Wk 6 vs Boston College: +1.89 EPA/play6Wk 8 vs Syracuse: +0.05 EPA/play8Wk 9 vs NC State: +0.07 EPA/play9Wk 12 vs Notre Dame: +1.64 EPA/play12Wk 13 vs Georgia Tech: +2.10 EPA/play13
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
1vsDuquesneW61-9—13434.01341.63
3@West VirginiaL24-31-6.822613.00220.83
5vsLouisvilleL27-3412.411111.00110.08
6vsBoston CollegeW48-7-8.53227.30111.89
8@SyracuseW30-13-13.112020.00200.05
9vsNC StateW53-344.8155.0050.07
12vsNotre DameL15-3724.412121.01211.64
13@Georgia TechW42-289.311717.00172.10
20vsEast CarolinaL17-238.023618.0026—

Usage & Situational · Pro

Snap-share proxy
Overall
2.7%
Passing plays
4.8%
Rushing plays
0.0%
Standard downs
1.9%
Passing downs
4.1%
EPA by down type
Standard downs
0.97
Passing downs
1.55
Pass / Rush EPA
1.26 / —

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.