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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 27.9 total EPA across 37 plays.

2026 Usage Outlook · projected share of team plays

4%
projected
band 2%'25 6%6%

Regressed toward the TE mean. Model correlation r≈0.42 on a 2019-2025 walk-forward — volume only; efficiency not projected.

2025 Production

Receiving
31 Receptions436 Rec yards4 Rec TD14.1 Yards/rec

Performance Analysis · 2025 · vs TE peers

EfficiencyVolumeExplosivenessConsistencyPass-Down
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 consistency52th %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 1.02 from the first to second half of the season.
  • Peak game: 3.64 EPA/play in Wk 1 vs Arizona (SP+ 12).

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 2014–2024 matched on EPA efficiency, play volume, and adjusted value tier — not just one metric.

PlayerTeamYrPlaysWEPA/playLine valTotal EPA
Ty ThompsonTulane2024480.4200.420.2
Seth GreenMinnesota2018830.3900.032.4
Johnny LanganRutgers2020590.3000.017.7

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

Game Log · box score + EPA, week by week

Wk 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 13 vs Louisville: +0.71 EPA/play13Wk 14 vs California: +0.96 EPA/play14Wk 1 vs Arizona: +3.64 EPA/play1
EPA per play, by 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 CollegeW45-13-8.513737.0137
13vsLouisvilleW38-612.445814.50330.71
14@CaliforniaL35-38-3.258717.41320.96
1vsArizonaW24-1912.028542.50803.64

Usage & Situational · Pro

Snap-share proxy
Overall
5.5%
Passing plays
10.2%
Rushing plays
0.0%
Standard downs
3.8%
Passing downs
9.4%
EPA by down type
Standard downs
0.52
Passing downs
0.98
Pass / Rush EPA
0.76 / —

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.