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Matt Lauter

#85Matt Lauter

Matt Lauter is a Versatile TE for Boise State. Matt's 2025 season ranks in the 100th percentile nationally by opponent-adjusted EPA per play across 52 plays — a elite rate for the TE.

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 Matt Lauter'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
37 Receptions330 Rec yards2 Rec TD8.9 Yards/rec

Performance Analysis · 2025 · vs TE peers

  • Efficiency100
  • Volume17
  • Explosiveness13
  • Consistency31
  • Pass-Down89
Player type
Versatile TE

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 consistency31th %ile · below 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 variance — boom-or-bust profile.
  • 4 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 — 0.39 EPA/play decline from first to second half.
  • Peak game: 1.94 EPA/play in Wk 4 vs Air Force (SP+ -3).

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
D'Vaughn PennamonOle Miss0.2000.011.0
Jackson AckerWisconsin0.2100.115.3
Kaden FeaginIllinois0.1500.07.8
Johnny LanganRutgers0.2400.08.9
Jordan MyersRice0.2700.215.9

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

Game Log · box score + EPA, week by week

+1.9401.94Wk 1 vs South Florida: +0.07 EPA/play1Wk 2 vs Eastern Washington: +0.69 EPA/play2Wk 4 vs Air Force: +1.94 EPA/play4Wk 5 vs App State: +0.66 EPA/play5Wk 7 vs New Mexico: -0.21 EPA/play7Wk 8 vs UNLV: -0.39 EPA/play8Wk 9 vs Nevada: +0.26 EPA/play9Wk 10 vs Fresno State: +0.13 EPA/play10Wk 13 vs Colorado State: +0.47 EPA/play13Wk 14 vs Utah State: +0.09 EPA/play14Wk 15 vs UNLV: -0.59 EPA/play15
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
1@South FloridaL7-3411.64358.80200.07
2vsEastern WashingtonW51-1444511.30170.69
4@Air ForceW49-37-3.222311.51201.94
5vsApp StateW47-14-11.434515.00200.66
7vsNew MexicoW41-250.94317.8017-0.21
8vsUNLVW56-314.3166.006-0.39
9@NevadaW24-3-13.42178.50120.26
10vsFresno StateL7-301.84307.50110.13
13vsColorado StateW49-21-15.64389.50200.47
14@Utah StateW25-24-3.12168.0090.09
15vsUNLVW38-214.3273.505-0.59
20vsWashingtonL10-3818.45377.4114

Usage & Situational · Pro

Snap-share proxy
Overall
6.1%
Passing plays
13.0%
Rushing plays
0.0%
Standard downs
5.7%
Passing downs
6.9%
EPA by down type
Standard downs
0.11
Passing downs
0.35
Pass / Rush EPA
0.20 / —

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.