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Javon Rogers

#15Javon Rogers

Javon Rogers is a Vertical Threat WR for Kennesaw 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 Javon Rogers'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 Receptions236 Rec yards1 Rec TD26.2 Yards/rec

Air yards

Where the ball goes, and how much of the gain is the throw rather than the run after it.

8
Targets
18.4y
Avg depth
4.8y
After catch
63%
Catch rate

The ball travels 18.4 yards in the air on an average target 9.5 yards deeper than the median. Another 4.8 comes after the catch.

Where he is targeted

targets · completion rate · yards
deep
2
50% · 38y
1
100% · 46y
0
short
3
67% · 28y
2
50% · 17y
0
leftmiddleright

Depth and direction come from CFBD’s passing detail, which is backfilled after the games: this covers weeks 1–2 only. Spikes, throwaways and intentional grounding are excluded before any average.

Performance Analysis · 2025 · vs WR peers

  • Efficiency100
  • Volume10
  • Explosiveness100
  • Consistency0
  • Pass-Down0
Player type
Vertical Threat WR

Elite deep receiver who stretches the field. Wins downfield, commands safety attention, and creates the threat that opens underneath routes.

Downfield threatYAC upsideCreates space for teammates
Peer percentiles
Opponent-adjusted EPA (WEPA/play)100th %ile · elite
Game-to-game consistency0th %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.
  • Peak game: 0.37 EPA/play in Wk 12 vs Jacksonville State (SP+ -7).

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
DeAndre HughesAir Force0.4701.328.2
Javion PoseyFlorida Atlantic0.4501.423.8
Keytaon ThompsonMississippi State0.4601.232.2

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

Game Log · box score + EPA, week by week

+0.4100.41Wk 5 vs Middle Tennessee: +0.29 EPA/play5Wk 10 vs UTEP: +0.25 EPA/play10Wk 11 vs New Mexico State: -0.41 EPA/play11Wk 12 vs Jacksonville State: +0.37 EPA/play12Wk 15 vs Jacksonville State: -0.15 EPA/play15
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
5vsMiddle TennesseeW24-16-16.011010.00100.29
10vsUTEPW33-20-17.516666.00660.25
11@New Mexico StateW24-21-15.5199.009-0.41
12@Jacksonville StateL26-35-6.723718.50240.37
15@Jacksonville StateW19-15-6.7133.003-0.15
20vsWestern MichiganL6-41-1.4311137.0182

Usage & Situational · Pro

Snap-share proxy
Overall
3.5%
Passing plays
7.6%
Rushing plays
0.0%
Standard downs
4.0%
Passing downs
2.4%
EPA by down type
Standard downs
0.71
Passing downs
-0.24
Pass / Rush EPA
0.50 / —

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.