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Jayvan Boggs

#15Jayvan Boggs

Jayvan Boggs is a Versatile WR for Florida State.

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 Jayvan Boggs'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
9 Receptions103 Rec yards1 Rec TD11.4 Yards/rec

Performance Analysis · 2025 · vs WR peers

  • Efficiency100
  • Volume12
  • Explosiveness30
  • Consistency89
  • Pass-Down0
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 consistency89th %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.
  • Peak game: 0.65 EPA/play in Wk 6 vs Miami (SP+ 21).

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
Keytaon ThompsonVirginia0.3200.412.5
Nick NashSan José State0.3100.514.0
Tyler BuchnerNotre Dame0.2500.312.8
Cade HarrisAir Force0.3300.514.8
Ainias SmithTexas A&M0.3100.517.0

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

Game Log · box score + EPA, week by week

+0.6500.65Wk 2 vs East Texas A&M: +0.27 EPA/play2Wk 4 vs Kent State: +0.31 EPA/play4Wk 6 vs Miami: +0.65 EPA/play6Wk 13 vs NC State: +0.59 EPA/play13
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
2vsEast Texas A&MW77-3133.0130.27
4vsKent StateW66-10-19.333010.00120.31
6vsMiamiL22-2820.711414.00140.65
13@NC StateL11-214.845614.00310.59

Usage & Situational · Pro

Snap-share proxy
Overall
4.3%
Passing plays
10.1%
Rushing plays
0.0%
Standard downs
4.1%
Passing downs
4.5%
EPA by down type
Standard downs
0.45
Passing downs
-0.05
Pass / Rush EPA
0.28 / —

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.