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Will Kacmarek

#89Will Kacmarek

Will Kacmarek is a Versatile TE for Ohio State.

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 Will Kacmarek'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
15 Receptions168 Rec yards2 Rec TD11.2 Yards/rec

Performance Analysis · 2025 · vs TE peers

  • Efficiency100
  • Volume10
  • Explosiveness28
  • Consistency79
  • 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 consistency79th %ile · above avg
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 — 0.28 EPA/play decline from first to second half.
  • Peak game: 2.07 EPA/play in Wk 8 vs Wisconsin (SP+ -4).

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

+2.0702.07Wk 2 vs Grambling: +2.03 EPA/play2Wk 3 vs Ohio: -0.05 EPA/play3Wk 7 vs Illinois: +0.58 EPA/play7Wk 8 vs Wisconsin: +2.07 EPA/play8Wk 10 vs Penn State: +1.22 EPA/play10Wk 14 vs Michigan: +0.91 EPA/play14Wk 15 vs Indiana: +0.50 EPA/play15
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
2vsGramblingW70-025527.51472.03
3vsOhioW37-9-4.02126.007-0.05
7@IllinoisW34-1612.9177.0070.58
8@WisconsinW34-0-4.4122.0122.07
10vsPenn StateW38-1418.111414.00141.22
14@MichiganW27-912.423015.00250.91
15vsIndianaL10-1332.43206.7090.50
20vsMiamiL14-2420.73289.3012

Usage & Situational · Pro

Snap-share proxy
Overall
3.6%
Passing plays
7.1%
Rushing plays
0.0%
Standard downs
4.3%
Passing downs
0.9%
EPA by down type
Standard downs
0.86
Passing downs
-0.18
Pass / Rush EPA
0.80 / —

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.