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Javin Whatley

#6Javin Whatley

Javin Whatley is a Versatile WR for Arizona.

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 Javin Whatley'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
41 Receptions490 Rec yards5 Rec TD12.0 Yards/rec
Returns
4 Kick returns98 KR yards0 KR TD

Performance Analysis · 2025 · vs WR peers

  • Efficiency0
  • Volume21
  • Explosiveness33
  • Consistency0
  • Pass-Down81
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)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 0.16 from the first to second half of the season.
  • Peak game: 2.04 EPA/play in Wk 10 vs Colorado (SP+ -8).

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
De'Michael HarrisSouthern Miss0.1300.715.2
Hyleck FosterMarshall0.1800.518.2
Amare JonesTulane0.1800.012.8
Shai WertsGeorgia Southern0.1500.024.2
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

+2.0402.04Wk 1 vs Hawai'i: -0.13 EPA/play1Wk 2 vs Weber State: +1.03 EPA/play2Wk 3 vs Kansas State: -0.40 EPA/play3Wk 5 vs Iowa State: +0.40 EPA/play5Wk 6 vs Oklahoma State: +0.41 EPA/play6Wk 7 vs BYU: -0.70 EPA/play7Wk 8 vs Houston: -0.10 EPA/play8Wk 10 vs Colorado: +2.04 EPA/play10Wk 11 vs Kansas: -0.21 EPA/play11Wk 12 vs Cincinnati: -0.95 EPA/play12Wk 14 vs Arizona State: +0.14 EPA/play14
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
1vsHawai'iW40-61.733812.7029-0.13
2vsWeber StateW48-3516833.62851.03
3vsKansas StateW23-177.05316.2011-0.40
5@Iowa StateL14-399.94276.80100.40
6vsOklahoma StateW41-13-15.155210.41210.41
7vsBYUL27-3315.93124.009-0.70
8@HoustonL28-317.47426.0011-0.10
10@ColoradoW52-17-8.313434.01342.04
11vsKansasW24-204.12168.009-0.21
12@CincinnatiW30-244.51-2-2.000-0.95
13vsBaylorW41-171.4
14@Arizona StateW23-73.922512.50160.14
20vsSMUL19-2413.434715.7128

Usage & Situational · Pro

Snap-share proxy
Overall
7.3%
Passing plays
12.2%
Rushing plays
2.0%
Standard downs
7.4%
Passing downs
7.3%
EPA by down type
Standard downs
-0.07
Passing downs
0.12
Pass / Rush EPA
0.00 / -0.08

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.