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Tay Lanier

#6Tay Lanier

Tay Lanier is a Versatile WR for Colorado State. Tay's 2025 season produced 17.6 total EPA across 41 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 Tay Lanier'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
35 Receptions315 Rec yards2 Rec TD9.0 Yards/rec

Performance Analysis · 2025 · vs WR peers

  • Efficiency100
  • Volume18
  • Explosiveness13
  • Consistency31
  • Pass-Down93
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 consistency31th %ile · below avg
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 variance — boom-or-bust profile.
  • 5 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 0.77 from the first to second half of the season.
  • Peak game: 3.77 EPA/play in Wk 8 vs Hawai'i (SP+ 2).

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
Dane KinamonAir Force0.4100.716.0
Keytaon ThompsonVirginia0.3700.615.2
Micah DavisAir Force0.3700.616.3
JoJo NatsonUtah State0.3901.019.9
Savion WilliamsTCU0.4501.125.2

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

Game Log · box score + EPA, week by week

+3.7703.77Wk 1 vs Washington: +0.53 EPA/play1Wk 2 vs Northern Colorado: -0.09 EPA/play2Wk 4 vs UTSA: +0.10 EPA/play4Wk 5 vs Washington State: +0.49 EPA/play5Wk 6 vs San Diego State: -0.45 EPA/play6Wk 7 vs Fresno State: -0.10 EPA/play7Wk 8 vs Hawai'i: +3.77 EPA/play8Wk 9 vs Wyoming: +0.31 EPA/play9Wk 11 vs UNLV: -0.43 EPA/play11Wk 12 vs New Mexico: +0.13 EPA/play12Wk 13 vs Boise State: +0.44 EPA/play13Wk 14 vs Air Force: +0.86 EPA/play14
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
1@WashingtonL21-3818.411010.00100.53
2vsNorthern ColoradoW21-17-0.09
4vsUTSAL16-173.73175.7060.10
5vsWashington StateL3-203.82126.0090.49
6@San Diego StateL24-456.711414.0014-0.45
7vsFresno StateW49-211.8144.004-0.10
8vsHawai'iL19-311.725628.00373.77
9@WyomingL0-28-11.335618.70390.31
11vsUNLVL10-424.3362.006-0.43
12@New MexicoL17-200.95418.20150.13
13@Boise StateL21-493.15265.2180.44
14vsAir ForceL21-42-3.29738.11200.86

Usage & Situational · Pro

Snap-share proxy
Overall
6.2%
Passing plays
11.1%
Rushing plays
0.3%
Standard downs
5.3%
Passing downs
7.8%
EPA by down type
Standard downs
0.31
Passing downs
0.57
Pass / Rush EPA
0.46 / -0.61

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.