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Taeshaun Lyons

#8Taeshaun Lyons

WR·UNLV·2025

Taeshaun Lyons is a Red Zone Weapon WR for UNLV.

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 Taeshaun Lyons'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 Receptions234 Rec yards3 Rec TD15.6 Yards/rec

Performance Analysis · 2025 · vs WR peers

  • Efficiency100
  • Volume10
  • Explosiveness57
  • Consistency77
  • Pass-Down100
Player type
Red Zone Weapon WR

Goes from good to great inside the 20 — high TD conversion on limited looks makes this receiver a scoring machine.

Red zone targetHigh TD rateSize/catch radius advantage
Peer percentiles
Opponent-adjusted EPA (WEPA/play)100th %ile · elite
Game-to-game consistency77th %ile · above 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 consistency — reliable floor each week.
  • 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 0.85 from the first to second half of the season.
  • Peak game: 2.79 EPA/play in Wk 12 vs Utah State (SP+ -3).

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
Savion WilliamsTCU0.4501.125.2
JoJo NatsonUtah State0.3901.019.9

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

Game Log · box score + EPA, week by week

+2.7902.79Wk 2 vs UCLA: +1.39 EPA/play2Wk 4 vs Miami (OH): +0.14 EPA/play4Wk 7 vs Air Force: +0.20 EPA/play7Wk 11 vs Colorado State: +1.68 EPA/play11Wk 12 vs Utah State: +2.79 EPA/play12Wk 13 vs Hawai'i: +1.92 EPA/play13Wk 15 vs Boise State: +0.40 EPA/play15
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
2vsUCLAW30-23-8.711414.00141.39
4@Miami (OH)W41-38-3.42189.0190.14
7vsAir ForceW51-48-3.211818.00180.20
11@Colorado StateW42-10-15.624020.01391.68
12vsUtah StateW29-26-3.111515.00152.79
13vsHawai'iW38-101.727537.51721.92
15@Boise StateL21-383.133511.70160.40
20vsOhioL10-17-4.03196.309

Usage & Situational · Pro

Snap-share proxy
Overall
3.5%
Passing plays
7.3%
Rushing plays
0.0%
Standard downs
3.5%
Passing downs
3.3%
EPA by down type
Standard downs
-0.15
Passing downs
1.95
Pass / Rush EPA
0.45 / —

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.