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CJ Brown

#3CJ Brown

CJ Brown is a Versatile WR for Arkansas. CJ's 2025 season produced 13.2 total EPA across 46 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 CJ 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
28 Receptions319 Rec yards3 Rec TD11.4 Yards/rec

Performance Analysis · 2025 · vs WR peers

  • Efficiency100
  • Volume18
  • Explosiveness29
  • Consistency42
  • Pass-Down76
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 consistency42th %ile · below avg
Key findings
  • Top-10% efficiency among WRs — elite opponent-adjusted EPA rate.
  • Limited usage share suggests a rotational or specialist role.
  • Particularly dangerous on passing downs — efficiency spikes in obvious pass situations.
  • Production faded as the season progressed — 0.35 EPA/play decline from first to second half.
  • Peak game: 1.09 EPA/play in Wk 1 vs Alabama A&M.

NIL Market Tier· 2025

On3 valuation ↗
Star

Top-10 nationally. Multiple mid-to-large collective deals expected.

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
Tyler BuchnerNotre Dame0.2500.312.8
Nick NashSan José State0.3100.514.0
Keytaon ThompsonVirginia0.3200.412.5
Ainias SmithTexas A&M0.3100.517.0
Xavier WhiteTexas Tech0.3000.518.6

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

Game Log · box score + EPA, week by week

+1.0901.09Wk 1 vs Alabama A&M: +1.09 EPA/play1Wk 2 vs Arkansas State: +0.59 EPA/play2Wk 3 vs Ole Miss: -0.38 EPA/play3Wk 4 vs Memphis: +0.20 EPA/play4Wk 7 vs Tennessee: +0.31 EPA/play7Wk 8 vs Texas A&M: +0.27 EPA/play8Wk 9 vs Auburn: +0.04 EPA/play9Wk 10 vs Mississippi State: +0.22 EPA/play10Wk 12 vs LSU: -0.27 EPA/play12Wk 13 vs Texas: +0.11 EPA/play13Wk 14 vs Missouri: -0.01 EPA/play14
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
1vsAlabama A&MW52-744912.32161.09
2vsArkansas StateW56-14-8.833612.00180.59
3@Ole MissL35-4124.022613.0026-0.38
4@MemphisL31-327.623115.50210.20
7@TennesseeL31-3415.035016.70200.31
8vsTexas A&ML42-4520.75387.61150.27
9vsAuburnL24-3311.6263.0090.04
10vsMississippi StateL35-384.12157.50110.22
12@LSUL22-2310.311616.0016-0.27
13@TexasL37-5216.222311.50160.11
14vsMissouriL17-3114.422914.5015-0.01

Usage & Situational · Pro

Snap-share proxy
Overall
6.2%
Passing plays
12.3%
Rushing plays
0.0%
Standard downs
6.0%
Passing downs
6.6%
EPA by down type
Standard downs
0.24
Passing downs
0.39
Pass / Rush EPA
0.29 / —

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.