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C'Bo Flemister

#24C'Bo Flemister

C'Bo Flemister is a Committee Back for Pittsburgh.

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 C'Bo Flemister'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.

2023 Production

Rushing
367 Rush yards2 Rush TD98 Carries3.7 Yards/carry
Receiving
8 Receptions106 Rec yards1 Rec TD13.3 Yards/rec
Returns
1 Kick returns6 KR yards0 KR TD

Performance Analysis · 2023 · vs RB peers

  • Efficiency0
  • Volume42
  • Explosiveness14
  • Consistency0
  • Receiving24
Player type
Committee Back

Part of a rotation — contributes in a complementary role and keeps the featured back fresh.

Rotational roleSituational use
Peer percentiles
Opponent-adjusted EPA (WEPA/play)0th %ile · below avg
Game-to-game consistency0th %ile · below avg
Key findings
  • Below-average efficiency vs RB peers — value comes through volume, not per-play impact.
  • High game-to-game variance — boom-or-bust profile.
  • Production faded as the season progressed — 0.28 EPA/play decline from first to second half.
  • Peak game: 0.57 EPA/play in Wk 5 vs Virginia Tech (SP+ 6).

NIL Market Tier· 2023

On3 valuation ↗
Contributor

Rotational contributor. Smaller collective or local 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.

Game Log · box score + EPA, week by week

+0.5700.57Wk 1 vs Wofford: +0.25 EPA/play1Wk 2 vs Cincinnati: -0.17 EPA/play2Wk 3 vs West Virginia: -0.39 EPA/play3Wk 4 vs North Carolina: +0.39 EPA/play4Wk 5 vs Virginia Tech: +0.57 EPA/play5Wk 7 vs Louisville: +0.03 EPA/play7Wk 8 vs Wake Forest: -0.01 EPA/play8Wk 9 vs Notre Dame: -0.31 EPA/play9Wk 10 vs Florida State: -0.11 EPA/play10Wk 11 vs Syracuse: -0.37 EPA/play11Wk 12 vs Boston College: -0.47 EPA/play12Wk 13 vs Duke: +0.26 EPA/play13
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+CarRush YdsAvgRush TDRecRec YdsRec TDEPA/play
1vsWoffordW45-79273.0023500.25
2vsCincinnatiL21-27-6.86386.30-0.17
3@West VirginiaL6-177.56345.70-0.39
4vsNorth CarolinaL24-417.411010.001000.39
5@Virginia TechL21-385.810414.1025710.57
7vsLouisvilleW38-218.013272.120.03
8@Wake ForestL17-21-7.9231054.60-0.01
9@Notre DameL7-5820.18243.001-40-0.31
10vsFlorida StateL7-2419.45234.60-0.11
11vsSyracuseL13-28-4.4341.30170-0.37
12vsBoston CollegeW24-16-5.99161.80-0.47
13@DukeL19-309.45183.6011100.26

Usage & Situational · Pro

Snap-share proxy
Overall
14.7%
Passing plays
1.9%
Rushing plays
29.3%
Standard downs
19.0%
Passing downs
6.3%
EPA by down type
Standard downs
0.01
Passing downs
-0.06
Pass / Rush EPA
1.24 / -0.08

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.