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Toby Payne

#81Toby Payne

Toby Payne is a Versatile TE for Marshall. Toby's 2025 season produced 22.0 total EPA across 38 plays.

2026 Usage Outlook · projected share of team plays

4%
projected
band 2%'25 5%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
36 Receptions387 Rec yards3 Rec TD10.8 Yards/rec

Performance Analysis · 2025 · vs TE peers

EfficiencyVolumeExplosivenessConsistencyPass-Down
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 consistency71th %ile · average
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.
  • 6 high-impact games (EPA/play > 0.4) this season — elite ceiling.
  • Production faded as the season progressed — 0.13 EPA/play decline from first to second half.
  • Peak game: 1.52 EPA/play in Wk 12 vs Georgia State (SP+ -25).

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
Evan SvobodaWyoming2024750.2900.021.8
Jordan MyersRice2021590.2700.215.9

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

Game Log · box score + EPA, week by week

Wk 2 vs Missouri State: -0.06 EPA/play2Wk 3 vs Eastern Kentucky: +0.58 EPA/play3Wk 4 vs Middle Tennessee: +1.49 EPA/play4Wk 5 vs Louisiana: +0.50 EPA/play5Wk 7 vs Old Dominion: +0.68 EPA/play7Wk 8 vs Texas State: +0.34 EPA/play8Wk 10 vs Coastal Carolina: +0.68 EPA/play10Wk 11 vs James Madison: +0.23 EPA/play11Wk 12 vs Georgia State: +1.52 EPA/play12Wk 13 vs App State: +0.32 EPA/play13Wk 14 vs Georgia Southern: -0.23 EPA/play14
EPA per play, by weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
2vsMissouri StateL20-21-10.744310.8026-0.06
3vsEastern KentuckyW38-711818.00180.58
4@Middle TennesseeW42-28-16.044611.52201.49
5@LouisianaL51-54-10.13299.70140.50
7vsOld DominionW48-245.933110.30210.68
8vsTexas StateW40-372.35469.20160.34
10@Coastal CarolinaL27-44-15.13268.70150.68
11vsJames MadisonL23-3512.33144.7080.23
12@Georgia StateW30-18-24.5511022.01481.52
13@App StateL24-26-11.43186.0090.32
14vsGeorgia SouthernL19-24-9.4263.003-0.23

Usage & Situational · Pro

Snap-share proxy
Overall
4.8%
Passing plays
11.5%
Rushing plays
0.2%
Standard downs
5.3%
Passing downs
3.5%
EPA by down type
Standard downs
0.68
Passing downs
0.22
Pass / Rush EPA
0.60 / -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.