Skip to content
CharMar Brown

#6CharMar Brown

RB·Miami·2025

CharMar Brown is a Explosive Back for Miami. CharMar's 2025 season ranks in the 25th percentile nationally by opponent-adjusted EPA per play across 133 plays — a developing rate for the RB.

What projects, and what doesn't · RBs · 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)0.52
    Beats guessing the RB average by 18%. n=4,219 RB seasons
  • EPA per play (efficiency)0.10
    Not projectable — we do not forecast this. n=3,575 RB seasons
  • Total EPA (value)0.41
    Beats guessing the RB average by 9%. n=3,575 RB seasons

Across all positions, usage carries year to year at 0.47 and efficiency at 0.07. So CharMar 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

Rushing
460 Rush yards7 Rush TD122 Carries3.8 Yards/carry
Receiving
20 Receptions138 Rec yards2 Rec TD6.9 Yards/rec

Performance Analysis · 2025 · vs RB peers

  • Efficiency25
  • Volume39
  • Explosiveness16
  • Consistency41
  • Receiving51
Player type
Explosive Back

Elite per-carry efficiency — breaks big runs and creates chunk plays at a top rate while in a limited role.

Big-play threatHigh EPA per carryCapitalises on opportunities
Peer percentiles
Opponent-adjusted EPA (WEPA/play)25th %ile · below avg
Game-to-game consistency41th %ile · below avg
Key findings
  • Below-average efficiency vs RB peers — value comes through volume, not per-play impact.
  • Production faded as the season progressed — 0.10 EPA/play decline from first to second half.
  • Peak game: 0.90 EPA/play in Wk 8 vs Louisville (SP+ 12).

NIL Market Tier· 2025

On3 valuation ↗
Starter

Meaningful starter. Local collective + position-group 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 · RB · 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
Saquon BarkleyPenn State0.3403.997.9

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

Game Log · box score + EPA, week by week

+0.9000.90Wk 1 vs Notre Dame: +0.18 EPA/play1Wk 2 vs Bethune-Cookman: +0.18 EPA/play2Wk 3 vs South Florida: -0.04 EPA/play3Wk 4 vs Florida: +0.52 EPA/play4Wk 6 vs Florida State: +0.01 EPA/play6Wk 8 vs Louisville: +0.90 EPA/play8Wk 9 vs Stanford: -0.38 EPA/play9Wk 10 vs SMU: +0.11 EPA/play10Wk 11 vs Syracuse: +0.07 EPA/play11Wk 12 vs NC State: +0.30 EPA/play12Wk 13 vs Virginia Tech: +0.02 EPA/play13Wk 14 vs Pittsburgh: -0.02 EPA/play14
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+CarRush YdsAvgRush TDRecRec YdsRec TDEPA/play
1vsNotre DameW27-2424.415543.6121700.18
2vsBethune-CookmanW45-37355.011400.18
3vsSouth FloridaW49-1211.69222.40111-0.04
4vsFloridaW26-73.518804.4245300.52
6@Florida StateW28-227.28192.400.01
8vsLouisvilleL21-2412.4393.001500.90
9vsStanfordW42-7-11.8591.80-0.38
10@SMUL20-2613.49374.100.11
11vsSyracuseW38-10-13.18405.0052300.07
12vsNC StateW41-74.88455.611300.30
13@Virginia TechW34-17-10.1294.500.02
14@PittsburghW38-78.48162.00191-0.02
20vsOle MissW31-2724.014543.91270
20vsOhio StateW24-1430.15265.21150
20vsIndianaL21-2732.4351.701110

Usage & Situational · Pro

Snap-share proxy
Overall
13.8%
Passing plays
3.9%
Rushing plays
23.6%
Standard downs
16.1%
Passing downs
7.3%
EPA by down type
Standard downs
0.19
Passing downs
0.12
Pass / Rush EPA
0.57 / 0.13

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.