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Max Klare

#86Max Klare

Max Klare is a Versatile TE for Ohio State. Max's 2025 season produced 21.2 total EPA across 49 plays.

2026 Usage Outlook · projected share of team plays

5%
projected
band 3%'25 6%7%

Regressed toward the TE mean. Model correlation r≈0.42 on a 2019-2025 walk-forward — volume only; efficiency not projected.

2025 Production

Receiving
43 Receptions448 Rec yards2 Rec TD10.4 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 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 — 0.37 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 ↗
Star

Top-10 nationally. Multiple mid-to-large collective deals expected.

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 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: +0.95 EPA/play13Wk 14 vs Michigan: -0.10 EPA/play14Wk 15 vs Indiana: +0.51 EPA/play15
EPA per play, by 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
13vsRutgersW42-91.0710515.01390.95
14@MichiganW27-912.43206.709-0.10
15vsIndianaL10-1332.422814.00200.51

Usage & Situational · Pro

Snap-share proxy
Overall
6.4%
Passing plays
13.9%
Rushing plays
0.0%
Standard downs
5.9%
Passing downs
8.1%
EPA by down type
Standard downs
0.30
Passing downs
0.73
Pass / Rush EPA
0.43 / —

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.