Skip to content
Jamal Haynes

#1Jamal Haynes

Jamal Haynes is a Pass-Catching Back for Georgia Tech. Jamal's 2025 season ranks in the 0th percentile nationally by opponent-adjusted EPA per play across 164 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 Jamal Haynes'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
531 Rush yards5 Rush TD124 Carries4.3 Yards/carry
Receiving
33 Receptions257 Rec yards0 Rec TD7.8 Yards/rec
Returns
1 Kick returns17 KR yards0 KR TD

Performance Analysis · 2025 · vs RB peers

  • Efficiency0
  • Volume55
  • Explosiveness26
  • Consistency0
  • Receiving100
Player type
Pass-Catching Back

Third-down weapon out of the backfield. Routes, hands, and separation in coverage define this role as much as rushing.

3rd-down backReceiving threatPass protection
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 — 0.09 EPA/play decline from first to second half.
  • Peak game: 0.40 EPA/play in Wk 4 vs Temple (SP+ -5).

NIL Market Tier· 2025

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

+0.4400.44Wk 1 vs Colorado: +0.04 EPA/play1Wk 2 vs Gardner-Webb: +0.14 EPA/play2Wk 3 vs Clemson: -0.33 EPA/play3Wk 4 vs Temple: +0.40 EPA/play4Wk 5 vs Wake Forest: -0.44 EPA/play5Wk 7 vs Virginia Tech: +0.22 EPA/play7Wk 8 vs Duke: -0.16 EPA/play8Wk 9 vs Syracuse: -0.08 EPA/play9Wk 10 vs NC State: -0.21 EPA/play10Wk 12 vs Boston College: +0.10 EPA/play12Wk 13 vs Pittsburgh: +0.03 EPA/play13Wk 14 vs Georgia: -0.28 EPA/play14
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+CarRush YdsAvgRush TDRecRec YdsRec TDEPA/play
1@ColoradoW27-20-8.316654.1012700.04
2vsGardner-WebbW59-1299210.221800.14
3vsClemsonW24-219.512262.214360-0.33
4vsTempleW45-24-5.1121078.9043900.40
5@Wake ForestW30-295.710212.105140-0.44
7vsVirginia TechW35-20-10.114694.9011200.22
8@DukeW27-186.68293.60-0.16
9vsSyracuseW41-16-13.17233.302280-0.08
10@NC StateL36-484.86142.303220-0.21
12@Boston CollegeW36-34-8.5581.6121400.10
13vsPittsburghL28-428.410393.9162900.03
14vsGeorgiaL9-1624.17111.602140-0.28
20vsBYUL21-2515.98273.402140

Usage & Situational · Pro

Snap-share proxy
Overall
19.2%
Passing plays
11.2%
Rushing plays
26.9%
Standard downs
22.3%
Passing downs
9.8%
EPA by down type
Standard downs
-0.06
Passing downs
0.02
Pass / Rush EPA
0.15 / -0.12

Usage = share of team plays (CFBD has no true snap counts).

Career · rolling EPA, game by game

Per-game EPA5-game avg
+2.500−0.61
EPA per play · 2024 · 13 games

Chart shows per-game EPA (bars) and rolling 5-game average (line). Season breaks marked with dashed lines. Line value = est. points over replacement per game.

EPA = expected points added (opponent-adjusted). NIL estimates are model-based ranges, not reported deals. Data: CollegeFootballData. Not betting advice.