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Leland Smith

#0Leland Smith

Leland Smith is a Versatile WR for San José State. Leland's 2025 season ranks in the 100th percentile nationally by opponent-adjusted EPA per play across 76 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 Leland Smith'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 Receptions695 Rec yards3 Rec TD16.2 Yards/rec

Performance Analysis · 2025 · vs WR peers

  • Efficiency100
  • Volume28
  • Explosiveness61
  • Consistency57
  • Pass-Down26
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 consistency57th %ile · average
Key findings
  • Top-10% efficiency among WRs — elite opponent-adjusted EPA rate.
  • Limited usage share suggests a rotational or specialist role.
  • 5 high-impact games (EPA/play > 0.4) this season — elite ceiling.
  • Production faded as the season progressed — 0.10 EPA/play decline from first to second half.
  • Peak game: 1.17 EPA/play in Wk 11 vs Air Force (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
Dane KinamonAir Force0.4100.716.0
DeAndre HughesAir Force0.4701.328.2
Zach AbeyNavy0.3700.825.9

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

Game Log · box score + EPA, week by week

+1.1701.17Wk 1 vs Central Michigan: -0.00 EPA/play1Wk 4 vs Idaho: -0.06 EPA/play4Wk 5 vs Stanford: +0.35 EPA/play5Wk 6 vs New Mexico: +0.71 EPA/play6Wk 7 vs Wyoming: +0.79 EPA/play7Wk 8 vs Utah State: +0.69 EPA/play8Wk 10 vs Hawai'i: +0.72 EPA/play10Wk 11 vs Air Force: +1.17 EPA/play11Wk 12 vs Nevada: -0.38 EPA/play12Wk 13 vs San Diego State: +0.25 EPA/play13Wk 14 vs Fresno State: -0.45 EPA/play14
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
1vsCentral MichiganL14-16-8.825025.0139-0.00
4vsIdahoW31-282178.509-0.06
5@StanfordL29-30-11.8610116.80370.35
6vsNew MexicoW35-280.966110.21160.71
7@WyomingL28-35-11.344812.00190.79
8@Utah StateL25-30-3.1411629.01450.69
10vsHawai'iW45-381.7411328.30420.72
11vsAir ForceL16-26-3.2914416.00361.17
12@NevadaL10-55-13.42115.508-0.38
13@San Diego StateL3-256.73289.30110.25
14vsFresno StateL14-411.8166.006-0.45

Usage & Situational · Pro

Snap-share proxy
Overall
9.8%
Passing plays
16.5%
Rushing plays
0.0%
Standard downs
9.6%
Passing downs
10.3%
EPA by down type
Standard downs
0.51
Passing downs
0.37
Pass / Rush EPA
0.46 / —

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.