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Shazz Preston

#7Shazz Preston

Shazz Preston is a Versatile WR for Tulane. Shazz's 2025 season ranks in the 100th percentile nationally by opponent-adjusted EPA per play across 55 plays — a elite rate for the WR.

What projects, and what doesn't · WRs · 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)0.47
    Beats guessing the WR average by 16%. n=6,302 WR seasons
  • EPA per play (efficiency)0.09
    Not projectable — we do not forecast this. n=5,767 WR seasons
  • Total EPA (value)0.45
    Beats guessing the WR average by 12%. n=5,767 WR seasons

Across all positions, usage carries year to year at 0.47 and efficiency at 0.07. So Shazz Preston'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 Receptions723 Rec yards4 Rec TD16.8 Yards/rec

Performance Analysis · 2025 · vs WR peers

  • Efficiency100
  • Volume18
  • Explosiveness65
  • Consistency73
  • Pass-Down21
Player type
Versatile WR

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 consistency73th %ile · average
Key findings
  • Top-10% efficiency among WRs — elite opponent-adjusted EPA rate.
  • Limited usage share suggests a rotational or specialist role.
  • High game-to-game consistency — reliable floor each week.
  • 9 high-impact games (EPA/play > 0.4) this season — elite ceiling.
  • Strong second-half surge — EPA/play improved 0.28 from the first to second half of the season.
  • Peak game: 3.02 EPA/play in Wk 11 vs Memphis (SP+ 8).

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 · WR · 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
Quadree HendersonPittsburgh0.5301.633.4

Comps are statistical — efficiency, volume, and value tier all factor in. Style and conference context differ.

Game Log · box score + EPA, week by week

+3.0203.02Wk 1 vs Northwestern: -0.09 EPA/play1Wk 2 vs South Alabama: -0.06 EPA/play2Wk 3 vs Duke: +2.03 EPA/play3Wk 4 vs Ole Miss: +0.88 EPA/play4Wk 5 vs Tulsa: +0.58 EPA/play5Wk 7 vs East Carolina: +0.72 EPA/play7Wk 8 vs Army: +1.75 EPA/play8Wk 10 vs UTSA: -0.04 EPA/play10Wk 11 vs Memphis: +3.02 EPA/play11Wk 12 vs Florida Atlantic: +1.08 EPA/play12Wk 13 vs Temple: +1.28 EPA/play13Wk 14 vs Charlotte: +0.20 EPA/play14Wk 15 vs North Texas: +1.15 EPA/play15
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
1vsNorthwesternW23-35.8144.004-0.09
2@South AlabamaW33-31-12.711414.0014-0.06
3vsDukeW34-276.639531.70632.03
4@Ole MissL10-4524.033511.70170.88
5@TulsaW31-14-10.055410.80190.58
7vsEast CarolinaW26-198.022613.00150.72
8vsArmyW24-170.858617.21261.75
10@UTSAL26-483.72157.5015-0.04
11@MemphisW38-327.638528.32653.02
12vsFlorida AtlanticW35-24-8.73299.70191.08
13@TempleW37-13-5.159619.21691.28
14vsCharlotteW27-0-26.734314.30210.20
15vsNorth TexasW34-2113.82168.00151.15
20@Ole MissL10-4124.0512525.0057

Usage & Situational · Pro

Snap-share proxy
Overall
6.2%
Passing plays
13.6%
Rushing plays
0.0%
Standard downs
5.4%
Passing downs
8.3%
EPA by down type
Standard downs
1.01
Passing downs
0.83
Pass / Rush EPA
0.94 / —

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.