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Jaylan Sanchez

#0Jaylan Sanchez

Jaylan Sanchez is a Slot Specialist WR for James Madison. Jaylan's 2025 season produced 19.5 total EPA across 42 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 Jaylan Sanchez'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
30 Receptions396 Rec yards1 Rec TD13.2 Yards/rec

Performance Analysis · 2025 · vs WR peers

  • Efficiency100
  • Volume13
  • Explosiveness41
  • Consistency24
  • Pass-Down100
Player type
Slot Specialist WR

The offense's primary passing-down weapon — routes, separation, and reliability on 3rd down define this role.

3rd-down converterRoute technicianHigh passing-down share
Peer percentiles
Opponent-adjusted EPA (WEPA/play)100th %ile · elite
Game-to-game consistency24th %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.
  • 6 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 0.28 from the first to second half of the season.
  • Peak game: 2.02 EPA/play in Wk 4 vs Liberty (SP+ -9).

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
Dane KinamonAir Force0.4100.716.0
Savion WilliamsTCU0.4501.125.2
Keytaon ThompsonVirginia0.3700.615.2
Micah DavisAir Force0.3700.616.3
DeAndre HughesAir Force0.4701.328.2

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

Game Log · box score + EPA, week by week

+2.0202.02Wk 1 vs Weber State: -1.43 EPA/play1Wk 2 vs Louisville: -0.19 EPA/play2Wk 4 vs Liberty: +2.02 EPA/play4Wk 5 vs Georgia Southern: +0.06 EPA/play5Wk 6 vs Georgia State: -0.39 EPA/play6Wk 7 vs Louisiana: +0.80 EPA/play7Wk 8 vs Old Dominion: +0.61 EPA/play8Wk 10 vs Texas State: -0.12 EPA/play10Wk 11 vs Marshall: +1.16 EPA/play11Wk 12 vs App State: +1.19 EPA/play12Wk 13 vs Washington State: +0.26 EPA/play13Wk 14 vs Coastal Carolina: +0.85 EPA/play14Wk 15 vs Troy: -0.41 EPA/play15
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
1vsWeber StateW45-10155.005-1.43
2@LouisvilleL14-2812.4362.006-0.19
4@LibertyW31-13-9.045112.80302.02
5vsGeorgia SouthernW35-10-9.4155.0050.06
6@Georgia StateW14-7-24.5188.008-0.39
7vsLouisianaW24-14-10.14399.80200.80
8vsOld DominionW63-275.911616.00160.61
10@Texas StateW52-202.32126.006-0.12
11@MarshallW35-23-4.538628.71801.16
12vsApp StateW58-10-11.426934.50421.19
13vsWashington StateW24-203.822412.00150.26
14@Coastal CarolinaW59-10-15.122814.00140.85
15vsTroyW31-14-4.82115.507-0.41
20@OregonL34-5125.923618.0028

Usage & Situational · Pro

Snap-share proxy
Overall
4.6%
Passing plays
11.7%
Rushing plays
0.0%
Standard downs
2.9%
Passing downs
8.5%
EPA by down type
Standard downs
0.14
Passing downs
0.70
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.