Skip to content
Sean Brown

#8Sean Brown

Sean Brown is a Versatile WR for Charlotte. Sean's 2025 season produced 36.4 total EPA across 44 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 Sean Brown'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
36 Receptions508 Rec yards1 Rec TD14.1 Yards/rec

Performance Analysis · 2025 · vs WR peers

  • Efficiency100
  • Volume21
  • Explosiveness47
  • Consistency83
  • Pass-Down100
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 consistency83th %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.
  • 9 high-impact games (EPA/play > 0.4) this season — elite ceiling.
  • Particularly dangerous on passing downs — efficiency spikes in obvious pass situations.
  • Production faded as the season progressed — 0.52 EPA/play decline from first to second half.
  • Peak game: 2.01 EPA/play in Wk 4 vs Rice (SP+ -15).

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
Quadree HendersonPittsburgh0.5301.633.4
DeAndre HughesAir Force0.4701.328.2
Keytaon ThompsonMississippi State0.4601.232.2
Savion WilliamsTCU0.4501.125.2
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

+2.0102.01Wk 1 vs App State: +1.63 EPA/play1Wk 2 vs North Carolina: +1.34 EPA/play2Wk 4 vs Rice: +2.01 EPA/play4Wk 6 vs South Florida: +0.31 EPA/play6Wk 7 vs Army: +0.75 EPA/play7Wk 8 vs Temple: +1.55 EPA/play8Wk 9 vs North Texas: +0.37 EPA/play9Wk 11 vs East Carolina: +1.17 EPA/play11Wk 12 vs UTSA: +0.41 EPA/play12Wk 13 vs Georgia: +1.00 EPA/play13Wk 14 vs Tulane: +0.48 EPA/play14
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
1vsApp StateL11-34-11.411212.00121.63
2vsNorth CarolinaL3-20-6.611717.00171.34
4vsRiceL17-28-14.834715.70192.01
6@South FloridaL26-5411.645814.50270.31
7@ArmyL7-240.84328.00140.75
8vsTempleL14-49-5.113636.00361.55
9vsNorth TexasL20-5413.845814.50320.37
11@East CarolinaL22-488.0711917.01461.17
12vsUTSAL7-283.744310.80170.41
13@GeorgiaL3-3524.123718.50301.00
14@TulaneL0-276.35499.80230.48

Usage & Situational · Pro

Snap-share proxy
Overall
7.5%
Passing plays
13.6%
Rushing plays
0.0%
Standard downs
7.2%
Passing downs
7.9%
EPA by down type
Standard downs
0.64
Passing downs
1.07
Pass / Rush EPA
0.83 / —

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.