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Treyshun Hurry

#2Treyshun Hurry

Treyshun Hurry is a Slot Specialist WR for Louisville.

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 Treyshun Hurry'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
15 Receptions122 Rec yards1 Rec TD8.1 Yards/rec

Air yards

Where the ball goes, and how much of the gain is the throw rather than the run after it.

7
Targets
11.6y
Avg depth
5.2y
After catch
57%
Catch rate

The ball travels 11.6 yards in the air on an average target 2.6 yards deeper than the median. Another 5.2 comes after the catch.

Where he is targeted

targets · completion rate · yards
deep
1
100% · 27y
0
0
short
6
50% · 40y
0
0
leftmiddleright

Depth and direction come from CFBD’s passing detail, which is backfilled after the games: this covers weeks 1–2 only. Spikes, throwaways and intentional grounding are excluded before any average.

Performance Analysis · 2025 · vs WR peers

  • Efficiency100
  • Volume9
  • Explosiveness8
  • Consistency53
  • Pass-Down100
Player type
Slot Specialist WR

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 consistency53th %ile · average
Key findings
  • Top-10% efficiency among WRs — elite opponent-adjusted EPA rate.
  • Limited usage share suggests a rotational or specialist role.
  • 4 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 1.16 from the first to second half of the season.
  • Peak game: 1.91 EPA/play in Wk 8 vs Miami (SP+ 21).

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 · 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
Keytaon ThompsonVirginia0.3200.412.5
Cade HarrisAir Force0.3300.514.8
Nick NashSan José State0.3100.514.0
Keytaon ThompsonVirginia0.3700.615.2
Micah DavisAir Force0.3700.616.3

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 Eastern Kentucky: +0.96 EPA/play1Wk 2 vs James Madison: -0.10 EPA/play2Wk 4 vs Bowling Green: -0.43 EPA/play4Wk 5 vs Pittsburgh: -0.28 EPA/play5Wk 6 vs Virginia: +0.05 EPA/play6Wk 8 vs Miami: +1.91 EPA/play8Wk 10 vs Virginia Tech: +0.81 EPA/play10Wk 14 vs Kentucky: +0.88 EPA/play14
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
1vsEastern KentuckyW51-17199.0090.96
2vsJames MadisonW28-1412.3144.004-0.10
4vsBowling GreenW40-17-12.6144.004-0.43
5@PittsburghW34-278.4188.008-0.28
6vsVirginiaL27-3011.12136.5090.05
8@MiamiW24-2120.72168.00111.91
10@Virginia TechW28-16-10.1177.0070.81
14vsKentuckyW41-01.833311.00170.88
20vsToledoW27-226.03289.3117

Usage & Situational · Pro

Snap-share proxy
Overall
3.1%
Passing plays
6.1%
Rushing plays
0.0%
Standard downs
2.6%
Passing downs
4.3%
EPA by down type
Standard downs
0.14
Passing downs
0.66
Pass / Rush EPA
0.33 / —

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.