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Jaylen Sargent

#8Jaylen Sargent

Jaylen Sargent is a Versatile WR for Wyoming. Jaylen's 2025 season produced 7.2 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 Jaylen Sargent'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
20 Receptions240 Rec yards0 Rec TD12.0 Yards/rec

Performance Analysis · 2025 · vs WR peers

  • Efficiency67
  • Volume16
  • Explosiveness33
  • Consistency0
  • Pass-Down8
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)67th %ile · average
Game-to-game consistency0th %ile · below avg
Key findings
  • Limited usage share suggests a rotational or specialist role.
  • High game-to-game variance — boom-or-bust profile.
  • 3 high-impact games (EPA/play > 0.4) this season — elite ceiling.
  • Production faded as the season progressed — 0.46 EPA/play decline from first to second half.
  • Peak game: 1.34 EPA/play in Wk 2 vs Northern Iowa.

NIL Market Tier· 2025

On3 valuation ↗
Starter

Meaningful starter. Local collective + position-group 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
Amare JonesTulane0.1800.012.8
Brandon ChatmanNavy0.2300.612.0
Tyler BuchnerNotre Dame0.2500.312.8
Justin LynchTemple0.2400.315.1
Samajie GrantArizona0.2500.315.5

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

Game Log · box score + EPA, week by week

+1.3401.34Wk 2 vs Northern Iowa: +1.34 EPA/play2Wk 3 vs Utah: -0.46 EPA/play3Wk 6 vs UNLV: +0.12 EPA/play6Wk 7 vs San José State: +0.62 EPA/play7Wk 8 vs Air Force: +0.76 EPA/play8Wk 9 vs Colorado State: -0.01 EPA/play9Wk 10 vs San Diego State: -0.80 EPA/play10Wk 14 vs Hawai'i: -0.16 EPA/play14
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
2vsNorthern IowaW31-722613.00141.34
3vsUtahL6-3122.2177.007-0.46
6vsUNLVL17-314.345513.80290.12
7vsSan José StateW35-28-14.333913.00260.62
8@Air ForceL21-24-3.256513.00290.76
9vsColorado StateW28-0-15.633411.3022-0.01
10@San Diego StateL7-246.7111.001-0.80
14@Hawai'iL7-271.711313.0013-0.16

Usage & Situational · Pro

Snap-share proxy
Overall
5.6%
Passing plays
10.8%
Rushing plays
0.3%
Standard downs
5.6%
Passing downs
5.8%
EPA by down type
Standard downs
0.27
Passing downs
0.02
Pass / Rush EPA
0.17 / 0.49

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.