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Jaylen Bonelli

#10Jaylen Bonelli

Jaylen Bonelli is a Slot Specialist WR for Arkansas State. Jaylen's 2025 season produced 1.9 total EPA across 37 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 Bonelli'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
22 Receptions200 Rec yards3 Rec TD9.1 Yards/rec
Returns
4 Punt returns51 PR yards0 PR TD

Performance Analysis · 2025 · vs WR peers

  • Efficiency0
  • Volume16
  • Explosiveness14
  • Consistency0
  • Pass-Down73
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)0th %ile · below avg
Game-to-game consistency0th %ile · below avg
Key findings
  • Below-average efficiency vs WR peers — value comes through volume, not per-play impact.
  • 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.
  • Particularly dangerous on passing downs — efficiency spikes in obvious pass situations.
  • Strong second-half surge — EPA/play improved 0.34 from the first to second half of the season.
  • Peak game: 0.97 EPA/play in Wk 1 vs Southeast Missouri State.

NIL Market Tier· 2025

On3 valuation ↗
Contributor

Rotational contributor. Smaller collective or local 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
De'Michael HarrisSouthern Miss0.1300.715.2
Hyleck FosterMarshall0.1800.518.2
Brandon ChatmanNavy0.2300.612.0
Davis BrysonKennesaw State0.2000.019.4

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

Game Log · box score + EPA, week by week

+0.9700.97Wk 1 vs Southeast Missouri State: +0.97 EPA/play1Wk 2 vs Arkansas: -0.43 EPA/play2Wk 3 vs Iowa State: -0.04 EPA/play3Wk 5 vs UL Monroe: -0.56 EPA/play5Wk 8 vs South Alabama: -0.36 EPA/play8Wk 11 vs Southern Miss: +0.73 EPA/play11Wk 13 vs Louisiana: -0.36 EPA/play13Wk 14 vs App State: +0.61 EPA/play14
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
1vsSoutheast Missouri StateW42-2444511.31130.97
2vsArkansasL14-565.1177.007-0.43
3vsIowa StateL16-249.934314.3034-0.04
5@UL MonroeL16-28-21.62157.5011-0.56
8@South AlabamaW15-14-12.7166.006-0.36
11vsSouthern MissL21-27-7.14276.8190.73
13vsLouisianaL30-34-10.1284.004-0.36
14@App StateW30-29-11.43217.0090.61
20vsMissouri StateW34-28-10.722814.0121

Usage & Situational · Pro

Snap-share proxy
Overall
5.7%
Passing plays
9.8%
Rushing plays
0.3%
Standard downs
4.5%
Passing downs
8.5%
EPA by down type
Standard downs
-0.01
Passing downs
0.13
Pass / Rush EPA
0.09 / -1.42

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.