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Bralon Brown

#8Bralon Brown

Bralon Brown is a Slot Specialist WR for Southern Miss. Bralon's 2025 season produced 23.6 total EPA across 48 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 Bralon 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
30 Receptions353 Rec yards2 Rec TD11.8 Yards/rec

Performance Analysis · 2025 · vs WR peers

  • Efficiency100
  • Volume15
  • Explosiveness32
  • Consistency57
  • 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 consistency57th %ile · average
Key findings
  • Top-10% efficiency among WRs — elite opponent-adjusted EPA rate.
  • Limited usage share suggests a rotational or specialist role.
  • 6 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 0.65 from the first to second half of the season.
  • Peak game: 3.18 EPA/play in Wk 9 vs UL Monroe (SP+ -22).

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
Savion WilliamsTCU0.4501.125.2
Dane KinamonAir Force0.4100.716.0
DeAndre HughesAir Force0.4701.328.2
Keytaon ThompsonMississippi State0.4601.232.2
Javion PoseyFlorida Atlantic0.4501.423.8

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

Game Log · box score + EPA, week by week

+3.1803.18Wk 2 vs Jackson State: +0.85 EPA/play2Wk 3 vs App State: +0.31 EPA/play3Wk 4 vs Louisiana Tech: +0.66 EPA/play4Wk 5 vs Jacksonville State: +0.16 EPA/play5Wk 7 vs Georgia Southern: +0.85 EPA/play7Wk 8 vs Louisiana: -0.14 EPA/play8Wk 9 vs UL Monroe: +3.18 EPA/play9Wk 11 vs Arkansas State: +2.38 EPA/play11Wk 12 vs Texas State: +0.14 EPA/play12Wk 13 vs South Alabama: -0.71 EPA/play13Wk 14 vs Troy: +0.50 EPA/play14
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
2vsJackson StateW38-2035217.31400.85
3vsApp StateW38-22-11.43227.30110.31
4@Louisiana TechL20-30-1.34369.00150.66
5vsJacksonville StateW42-25-6.722412.00140.16
7@Georgia SouthernW38-35-9.445513.80200.85
8@LouisianaW22-10-10.12168.009-0.14
9vsUL MonroeW49-21-21.612424.01243.18
11@Arkansas StateW27-21-8.811515.00152.38
12vsTexas StateL14-412.333110.30120.14
13@South AlabamaL35-42-12.7188.008-0.71
14vsTroyL18-28-4.822211.00130.50
20vsWestern KentuckyL16-271.644812.0014

Usage & Situational · Pro

Snap-share proxy
Overall
5.4%
Passing plays
10.7%
Rushing plays
0.0%
Standard downs
4.4%
Passing downs
7.3%
EPA by down type
Standard downs
0.26
Passing downs
0.75
Pass / Rush EPA
0.49 / —

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.