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Jack Velling

#12Jack Velling

Jack Velling is a Versatile TE for Michigan State. Jack's 2025 season produced 27.5 total EPA across 44 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 Jack Velling'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 Receptions359 Rec yards3 Rec TD10.0 Yards/rec

Performance Analysis · 2025 · vs TE peers

  • Efficiency100
  • Volume17
  • Explosiveness20
  • Consistency72
  • Pass-Down100
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 consistency72th %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.
  • 7 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 — 0.44 EPA/play decline from first to second half.
  • Peak game: 2.45 EPA/play in Wk 4 vs USC (SP+ 17).

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

+2.4502.45Wk 1 vs Western Michigan: +1.36 EPA/play1Wk 3 vs Youngstown State: +0.57 EPA/play3Wk 4 vs USC: +2.45 EPA/play4Wk 6 vs Nebraska: +0.89 EPA/play6Wk 7 vs UCLA: +0.06 EPA/play7Wk 8 vs Indiana: -0.10 EPA/play8Wk 9 vs Michigan: -0.12 EPA/play9Wk 10 vs Minnesota: +1.13 EPA/play10Wk 12 vs Penn State: +0.33 EPA/play12Wk 13 vs Iowa: +0.75 EPA/play13Wk 14 vs Maryland: +1.04 EPA/play14
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
1vsWestern MichiganW23-6-1.4133.0031.36
3vsYoungstown StateW41-2467011.70230.57
4@USCL31-4516.9111.0112.45
6@NebraskaL27-386.233712.31190.89
7vsUCLAL13-38-8.72168.0090.06
8@IndianaL13-3832.44164.009-0.10
9vsMichiganL20-3112.43268.7010-0.12
10@MinnesotaL20-231.522814.00161.13
12vsPenn StateL10-2818.1166.0060.33
13@IowaL17-2019.788811.00210.75
14vsMarylandW38-280.656813.61281.04

Usage & Situational · Pro

Snap-share proxy
Overall
5.8%
Passing plays
11.1%
Rushing plays
0.0%
Standard downs
5.3%
Passing downs
6.7%
EPA by down type
Standard downs
0.45
Passing downs
0.97
Pass / Rush EPA
0.62 / —

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.