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Melquan Stovall

#5Melquan Stovall

Melquan Stovall is a Slot Specialist WR for Arizona 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 Melquan Stovall'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.

2024 Production

Receiving
24 Receptions287 Rec yards0 Rec TD12.0 Yards/rec
Returns
1 Kick returns17 KR yards0 KR TD9 Punt returns103 PR yards0 PR TD

Performance Analysis · 2024 · vs WR peers

  • Efficiency100
  • Volume10
  • Explosiveness33
  • Consistency75
  • 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 consistency75th %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.
  • 7 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 0.14 from the first to second half of the season.
  • Peak game: 2.72 EPA/play in Wk 12 vs Kansas State (SP+ 14).

NIL Market Tier· 2024

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
Quadree HendersonPittsburgh0.5301.633.4
DeAndre HughesAir Force0.4701.328.2
Savion WilliamsTCU0.4501.125.2
Keytaon ThompsonMississippi State0.4601.232.2
Bert Emanuel Jr.Central Michigan0.4601.624.4

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

Game Log · box score + EPA, week by week

+2.7202.72Wk 1 vs Wyoming: +1.93 EPA/play1Wk 2 vs Mississippi State: +1.55 EPA/play2Wk 3 vs Texas State: +0.31 EPA/play3Wk 4 vs Texas Tech: +0.45 EPA/play4Wk 6 vs Kansas: +0.60 EPA/play6Wk 10 vs Oklahoma State: +0.32 EPA/play10Wk 11 vs UCF: +0.38 EPA/play11Wk 12 vs Kansas State: +2.72 EPA/play12Wk 13 vs BYU: +0.16 EPA/play13Wk 14 vs Arizona: +0.64 EPA/play14Wk 15 vs Iowa State: +1.10 EPA/play15
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
1vsWyomingW48-7-13.612828.00281.93
2vsMississippi StateW30-23-4.1199.0091.55
3@Texas StateW31-285.42157.50140.31
4@Texas TechL22-304.32136.50100.45
6vsKansasW35-314.90.60
10@Oklahoma StateW42-21-2.611414.00140.32
11vsUCFW35-312.811212.00120.38
12@Kansas StateW24-1414.111111.00112.72
13vsBYUW28-2315.312525.00250.16
14@ArizonaW49-7-2.833511.70230.64
15vsIowa StateW45-1910.349122.80631.10
20vsTexasL31-3924.17344.9010

Usage & Situational · Pro

Snap-share proxy
Overall
3.4%
Passing plays
7.0%
Rushing plays
0.8%
Standard downs
2.7%
Passing downs
4.9%
EPA by down type
Standard downs
0.48
Passing downs
0.85
Pass / Rush EPA
0.75 / 0.00

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.