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Toby Payne

#81Toby Payne

Toby Payne is a Versatile TE for Marshall. Toby's 2025 season produced 20.4 total EPA across 45 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 Toby Payne'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
36 Receptions387 Rec yards3 Rec TD10.8 Yards/rec

Air yards

Where the ball goes, and how much of the gain is the throw rather than the run after it.

10
Targets
7.0y
Avg depth
3.2y
After catch
80%
Catch rate

The ball travels 7.0 yards in the air on an average target 2.0 yards shorter than the median. Another 3.2 comes after the catch.

Where he is targeted

targets · completion rate · yards
deep
1
0% · 0y
0
0
short
2
100% · 15y
4
75% · 26y
3
100% · 14y
leftmiddleright

Depth and direction come from CFBD’s passing detail, which is backfilled after the games: this covers weeks 1–2 only. Spikes, throwaways and intentional grounding are excluded before any average.

Performance Analysis · 2025 · vs TE peers

  • Efficiency100
  • Volume15
  • Explosiveness25
  • Consistency57
  • Pass-Down0
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 consistency57th %ile · average
Key findings
  • Top-10% efficiency among TEs — elite opponent-adjusted EPA rate.
  • Limited usage share suggests a rotational or specialist role.
  • 5 high-impact games (EPA/play > 0.4) this season — elite ceiling.
  • Production faded as the season progressed — 0.36 EPA/play decline from first to second half.
  • Peak game: 1.76 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 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
Johnny LanganRutgers0.3000.017.7
Evan SvobodaWyoming0.2900.521.8
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

+1.7601.76Wk 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: +0.12 EPA/play10Wk 11 vs James Madison: +0.10 EPA/play11Wk 12 vs Georgia State: +1.76 EPA/play12Wk 13 vs App State: -0.14 EPA/play13Wk 14 vs Georgia Southern: -0.47 EPA/play14
EPA per play · x-axis: 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 CarolinaL27-44-15.13268.70150.12
11vsJames MadisonL23-3512.33144.7080.10
12@Georgia StateW30-18-24.5511022.01481.76
13@App StateL24-26-11.43186.009-0.14
14vsGeorgia SouthernL19-24-9.4263.003-0.47

Usage & Situational · Pro

Snap-share proxy
Overall
5.3%
Passing plays
13.0%
Rushing plays
0.2%
Standard downs
5.9%
Passing downs
4.0%
EPA by down type
Standard downs
0.57
Passing downs
0.06
Pass / Rush EPA
0.47 / -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.