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Kyri Shoels

#0Kyri Shoels

Kyri Shoels is a Versatile WR for San José State. Kyri's 2025 season ranks in the 100th percentile nationally by opponent-adjusted EPA per play across 85 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 Kyri Shoels'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
59 Receptions768 Rec yards2 Rec TD13.0 Yards/rec

Performance Analysis · 2025 · vs WR peers

  • Efficiency100
  • Volume32
  • Explosiveness40
  • Consistency65
  • Pass-Down100
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 consistency65th %ile · average
Key findings
  • Top-10% efficiency among WRs — elite opponent-adjusted EPA rate.
  • 6 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 — 0.27 EPA/play decline from first to second half.
  • Peak game: 1.30 EPA/play in Wk 8 vs Utah State (SP+ -3).

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
Keytaon ThompsonMississippi State0.4601.232.2
Savion WilliamsTCU0.4501.125.2
DeAndre HughesAir Force0.4701.328.2
Javion PoseyFlorida Atlantic0.4501.423.8
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

+1.3001.30Wk 1 vs Central Michigan: +0.00 EPA/play1Wk 2 vs Texas: +0.44 EPA/play2Wk 4 vs Idaho: +1.02 EPA/play4Wk 5 vs Stanford: +1.04 EPA/play5Wk 6 vs New Mexico: +0.87 EPA/play6Wk 7 vs Wyoming: +0.10 EPA/play7Wk 8 vs Utah State: +1.30 EPA/play8Wk 10 vs Hawai'i: +0.33 EPA/play10Wk 11 vs Air Force: +0.55 EPA/play11Wk 12 vs Nevada: -0.14 EPA/play12Wk 13 vs San Diego State: +0.23 EPA/play13Wk 14 vs Fresno State: -0.44 EPA/play14
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
1vsCentral MichiganL14-16-8.82147.0070.00
2@TexasL7-3816.28739.10160.44
4vsIdahoW31-2833511.71151.02
5@StanfordL29-30-11.81014714.71331.04
6vsNew MexicoW35-280.978111.60350.87
7@WyomingL28-35-11.34246.0090.10
8@Utah StateL25-30-3.1710414.90261.30
10vsHawai'iW45-381.7510921.80430.33
11vsAir ForceL16-26-3.269315.50400.55
12@NevadaL10-55-13.434715.7022-0.14
13@San Diego StateL3-256.722412.00140.23
14vsFresno StateL14-411.82178.509-0.44

Usage & Situational · Pro

Snap-share proxy
Overall
11.2%
Passing plays
18.7%
Rushing plays
0.0%
Standard downs
9.4%
Passing downs
14.9%
EPA by down type
Standard downs
0.24
Passing downs
0.85
Pass / Rush EPA
0.50 / —

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.