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Grayson Tempest

#19Grayson Tempest

WR·Tulsa·2025

Grayson Tempest is a Slot Specialist WR for Tulsa. Grayson's 2025 season produced 11.6 total EPA across 34 plays.

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 Grayson Tempest'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
22 Receptions272 Rec yards1 Rec TD12.4 Yards/rec
Returns
3 Punt returns52 PR yards0 PR TD

Performance Analysis · 2025 · vs WR peers

  • Efficiency100
  • Volume16
  • Explosiveness36
  • Consistency50
  • Pass-Down0
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 consistency50th %ile · average
Key findings
  • Top-10% efficiency among WRs — elite opponent-adjusted EPA rate.
  • Limited usage share suggests a rotational or specialist role.
  • 3 high-impact games (EPA/play > 0.4) this season — elite ceiling.
  • Production faded as the season progressed — 1.33 EPA/play decline from first to second half.
  • Peak game: 2.84 EPA/play in Wk 9 vs Temple (SP+ -5).

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

+2.8402.84Wk 5 vs Tulane: +0.63 EPA/play5Wk 8 vs East Carolina: +0.51 EPA/play8Wk 9 vs Temple: +2.84 EPA/play9Wk 11 vs Florida Atlantic: +0.18 EPA/play11Wk 12 vs Oregon State: -0.69 EPA/play12Wk 13 vs Army: +0.30 EPA/play13Wk 14 vs UAB: +0.39 EPA/play14
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
5vsTulaneL14-316.328442.00510.63
8@East CarolinaL27-418.0177.0070.51
9vsTempleL37-38-5.124321.51382.84
11@Florida AtlanticL21-40-8.77659.30310.18
12vsOregon StateW31-14-15.9200.001-0.69
13@ArmyW26-250.85367.20130.30
14vsUABL24-31-15.833712.30260.39

Usage & Situational · Pro

Snap-share proxy
Overall
5.6%
Passing plays
12.0%
Rushing plays
0.0%
Standard downs
4.4%
Passing downs
8.1%
EPA by down type
Standard downs
0.52
Passing downs
0.14
Pass / Rush EPA
0.34 / —

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.