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Max Klare

#86Max Klare

Max Klare is a Versatile TE for Ohio State. Max's 2025 season ranks in the 100th percentile nationally by opponent-adjusted EPA per play across 51 plays — a elite rate for the TE.

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 Max Klare'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
43 Receptions448 Rec yards2 Rec TD10.4 Yards/rec

Performance Analysis · 2025 · vs TE peers

  • Efficiency100
  • Volume19
  • Explosiveness23
  • Consistency62
  • 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 consistency62th %ile · average
Key findings
  • Top-10% efficiency among TEs — elite opponent-adjusted EPA rate.
  • Limited usage share suggests a rotational or specialist role.
  • 6 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 — 0.33 EPA/play decline from first to second half.
  • Peak game: 2.16 EPA/play in Wk 3 vs Ohio (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
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

+2.1602.16Wk 1 vs Texas: -0.15 EPA/play1Wk 2 vs Grambling: -0.01 EPA/play2Wk 3 vs Ohio: +2.16 EPA/play3Wk 5 vs Washington: +0.95 EPA/play5Wk 6 vs Minnesota: +0.79 EPA/play6Wk 7 vs Illinois: +0.33 EPA/play7Wk 8 vs Wisconsin: +0.36 EPA/play8Wk 10 vs Penn State: +0.19 EPA/play10Wk 11 vs Purdue: +0.51 EPA/play11Wk 12 vs UCLA: -0.21 EPA/play12Wk 13 vs Rutgers: +1.21 EPA/play13Wk 14 vs Michigan: -0.10 EPA/play14Wk 15 vs Indiana: +0.51 EPA/play15
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
1vsTexasW14-716.211111.0011-0.15
2vsGramblingW70-0177.007-0.01
3vsOhioW37-9-4.023015.01162.16
5@WashingtonW24-618.422613.00180.95
6vsMinnesotaW42-31.556312.60290.79
7@IllinoisW34-1612.94389.50220.33
8@WisconsinW34-0-4.45295.80100.36
10vsPenn StateW38-1418.1166.0060.19
11@PurdueW34-10-6.155911.80200.51
12vsUCLAW48-10-8.75265.208-0.21
13vsRutgersW42-91.0710515.01391.21
14@MichiganW27-912.43206.709-0.10
15vsIndianaL10-1332.422814.00200.51

Usage & Situational · Pro

Snap-share proxy
Overall
6.7%
Passing plays
14.1%
Rushing plays
0.2%
Standard downs
6.1%
Passing downs
8.6%
EPA by down type
Standard downs
0.32
Passing downs
0.88
Pass / Rush EPA
0.49 / 0.79

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.