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Tanner Koziol

#9Tanner Koziol

Tanner Koziol is a Versatile TE for Ball State. Tanner's 2024 season ranks in the 100th percentile nationally by opponent-adjusted EPA per play across 94 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 Tanner Koziol'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.

2024 Production

Receiving
94 Receptions839 Rec yards8 Rec TD8.9 Yards/rec

Performance Analysis · 2024 · vs TE peers

  • Efficiency100
  • Volume36
  • Explosiveness13
  • Consistency78
  • Pass-Down85
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 consistency78th %ile · above avg
Key findings
  • Top-10% efficiency among TEs — elite opponent-adjusted EPA rate.
  • High game-to-game consistency — reliable floor each week.
  • 10 high-impact games (EPA/play > 0.4) this season — elite ceiling.
  • Particularly dangerous on passing downs — efficiency spikes in obvious pass situations.
  • Strong second-half surge — EPA/play improved 0.09 from the first to second half of the season.
  • Peak game: 1.49 EPA/play in Wk 9 vs Northern Illinois (SP+ -4).

NIL Market Tier· 2024

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

+1.4901.49Wk 2 vs Missouri State: +0.44 EPA/play2Wk 3 vs Miami: +0.48 EPA/play3Wk 4 vs Central Michigan: +1.28 EPA/play4Wk 5 vs James Madison: +0.91 EPA/play5Wk 6 vs Western Michigan: +0.90 EPA/play6Wk 7 vs Kent State: -0.15 EPA/play7Wk 8 vs Vanderbilt: +0.80 EPA/play8Wk 9 vs Northern Illinois: +1.49 EPA/play9Wk 11 vs Miami (OH): +0.59 EPA/play11Wk 12 vs Buffalo: +0.81 EPA/play12Wk 13 vs Bowling Green: -0.36 EPA/play13Wk 14 vs Ohio: +1.08 EPA/play14
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
2vsMissouri StateW42-3466010.01330.44
3@MiamiL0-6221.65397.80180.48
4@Central MichiganL34-37-15.8911212.41221.28
5@James MadisonL7-637.59788.71260.91
6vsWestern MichiganL42-45-10.2910211.30170.90
7@Kent StateW37-35-33.08435.4018-0.15
8@VanderbiltL14-244.99687.61140.80
9vsNorthern IllinoisW25-23-3.59788.72181.49
11vsMiami (OH)L21-271.344912.30230.59
12@BuffaloL48-51-4.011958.61200.81
13vsBowling GreenL13-38-1.85275.409-0.36
14@OhioL21-422.310888.81171.08

Usage & Situational · Pro

Snap-share proxy
Overall
12.6%
Passing plays
21.6%
Rushing plays
0.3%
Standard downs
12.5%
Passing downs
12.8%
EPA by down type
Standard downs
0.71
Passing downs
0.93
Pass / Rush EPA
0.79 / 0.12

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.