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Bauer Sharp

#10Bauer Sharp

Bauer Sharp is a Slot Specialist TE for Oklahoma. Bauer's 2024 season produced 17.7 total EPA across 42 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 Bauer Sharp'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
42 Receptions324 Rec yards2 Rec TD7.7 Yards/rec

Performance Analysis · 2024 · vs TE peers

  • Efficiency100
  • Volume18
  • Explosiveness5
  • Consistency0
  • Pass-Down98
Player type
Slot Specialist TE

The offense's primary passing-down weapon — routes, separation, and reliability on 3rd down define this role.

3rd-down converterRoute technicianHigh passing-down share
Peer percentiles
Opponent-adjusted EPA (WEPA/play)100th %ile · elite
Game-to-game consistency0th %ile · below 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 variance — boom-or-bust profile.
  • 5 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 — 0.70 EPA/play decline from first to second half.
  • Peak game: 0.91 EPA/play in Wk 7 vs Texas (SP+ 24).

NIL Market Tier· 2024

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 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

+1.9101.91Wk 1 vs Temple: +0.63 EPA/play1Wk 2 vs Houston: +0.01 EPA/play2Wk 3 vs Tulane: +0.38 EPA/play3Wk 4 vs Tennessee: +0.60 EPA/play4Wk 5 vs Auburn: +0.74 EPA/play5Wk 7 vs Texas: +0.91 EPA/play7Wk 9 vs Ole Miss: +0.84 EPA/play9Wk 10 vs Maine: -0.02 EPA/play10Wk 11 vs Missouri: -0.07 EPA/play11Wk 13 vs Alabama: +0.35 EPA/play13Wk 14 vs LSU: -1.91 EPA/play14
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
1vsTempleW51-3-20.35479.41140.63
2vsHoustonW16-12-8.2155.0050.01
3vsTulaneW34-195.74287.00150.38
4vsTennesseeL15-2522.04369.00130.60
5@AuburnW27-219.544310.80350.74
7vsTexasL3-3424.13217.00100.91
8vsSouth CarolinaL9-3516.9393.0012
9@Ole MissL14-2627.98536.61200.84
10vsMaineW59-142147.007-0.02
11@MissouriL23-3014.05438.6043-0.07
13vsAlabamaW24-325.022110.50160.35
14@LSUL17-3715.9144.004-1.91

Usage & Situational · Pro

Snap-share proxy
Overall
6.2%
Passing plays
13.4%
Rushing plays
0.5%
Standard downs
5.1%
Passing downs
8.4%
EPA by down type
Standard downs
0.31
Passing downs
0.59
Pass / Rush EPA
0.48 / -0.72

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.