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Matthew Hibner

#88Matthew Hibner

TE·SMU·2025

Matthew Hibner is a Slot Specialist TE for SMU. Matthew's 2025 season produced 35.5 total EPA across 42 plays.

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 Matthew Hibner'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
31 Receptions436 Rec yards4 Rec TD14.1 Yards/rec

Performance Analysis · 2025 · vs TE peers

  • Efficiency100
  • Volume15
  • Explosiveness47
  • Consistency47
  • 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 consistency47th %ile · average
Key findings
  • Top-10% efficiency among TEs — elite opponent-adjusted EPA rate.
  • Limited usage share suggests a rotational or specialist role.
  • 7 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 1.69 from the first to second half of the season.
  • Peak game: 6.11 EPA/play in Wk 11 vs Boston College (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.

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
Ty ThompsonTulane0.4200.720.2
Seth GreenMinnesota0.3900.032.4

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

Game Log · box score + EPA, week by week

+6.1106.11Wk 1 vs East Texas A&M: -0.90 EPA/play1Wk 2 vs Baylor: +2.28 EPA/play2Wk 3 vs Missouri State: -1.27 EPA/play3Wk 4 vs TCU: +0.49 EPA/play4Wk 6 vs Syracuse: +1.29 EPA/play6Wk 8 vs Clemson: +0.85 EPA/play8Wk 10 vs Miami: +0.28 EPA/play10Wk 11 vs Boston College: +6.11 EPA/play11Wk 13 vs Louisville: +0.71 EPA/play13Wk 14 vs California: +1.19 EPA/play14
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
1vsEast Texas A&MW42-131-2-2.000-0.90
2vsBaylorL45-481.423216.00162.28
3@Missouri StateW28-10-10.7242.005-1.27
4@TCUL24-358.33155.0190.49
6vsSyracuseW31-18-13.155511.00291.29
8@ClemsonW35-249.522914.51220.85
10vsMiamiW26-2020.74369.00160.28
11@Boston CollegeW45-13-8.513737.01376.11
13vsLouisvilleW38-612.445814.50330.71
14@CaliforniaL35-38-3.258717.41321.19
20vsArizonaW24-1912.028542.5080

Usage & Situational · Pro

Snap-share proxy
Overall
5.2%
Passing plays
9.7%
Rushing plays
0.0%
Standard downs
3.6%
Passing downs
8.9%
EPA by down type
Standard downs
0.57
Passing downs
1.09
Pass / Rush EPA
0.84 / —

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.