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Quinton Jackson

#10Quinton Jackson

RB·Rice·2025

Quinton Jackson is a Committee Back for Rice. Quinton's 2025 season ranks in the 0th percentile nationally by opponent-adjusted EPA per play across 183 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 Quinton Jackson'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
889 Rush yards6 Rush TD180 Carries4.9 Yards/carry
Receiving
4 Receptions74 Rec yards1 Rec TD18.5 Yards/rec
Returns
13 Kick returns262 KR yards0 KR TD1 Punt returns3 PR yards0 PR TD

Performance Analysis · 2025 · vs RB peers

  • Efficiency0
  • Volume63
  • Explosiveness38
  • Consistency0
  • Receiving32
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 — 0.18 EPA/play decline from first to second half.
  • Peak game: 0.74 EPA/play in Wk 9 vs UConn (SP+ 5).

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
Dalvin CookFlorida State0.3404.399.3

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

Game Log · box score + EPA, week by week

+0.7400.74Wk 1 vs Louisiana: +0.23 EPA/play1Wk 2 vs Houston: -0.06 EPA/play2Wk 3 vs Prairie View A&M: +0.27 EPA/play3Wk 4 vs Charlotte: +0.17 EPA/play4Wk 5 vs Navy: +0.05 EPA/play5Wk 6 vs Florida Atlantic: +0.17 EPA/play6Wk 7 vs UTSA: -0.04 EPA/play7Wk 9 vs UConn: +0.74 EPA/play9Wk 10 vs Memphis: -0.38 EPA/play10Wk 11 vs UAB: -0.13 EPA/play11Wk 13 vs North Texas: -0.00 EPA/play13Wk 14 vs South Florida: -0.42 EPA/play14
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+CarRush YdsAvgRush TDRecRec YdsRec TDEPA/play
1@LouisianaW14-12-10.1221195.411-600.23
2vsHoustonL9-357.415523.50-0.06
3vsPrairie View A&MW38-179424.710.27
4@CharlotteW28-17-26.712806.700.17
5@NavyL13-216.215604.000.05
6vsFlorida AtlanticL21-27-8.7191286.710.17
7@UTSAL13-613.7461.50-0.04
9vsUConnW37-345.1211688.0338010.74
10vsMemphisL14-387.69222.40-0.38
11vsUABW24-17-15.822813.70-0.13
13vsNorth TexasL24-5613.814503.60-0.00
14@South FloridaL3-5211.6231.50-0.42
20vsTexas StateL10-412.316784.90

Usage & Situational · Pro

Snap-share proxy
Overall
22.0%
Passing plays
3.9%
Rushing plays
29.5%
Standard downs
26.1%
Passing downs
13.4%
EPA by down type
Standard downs
0.11
Passing downs
0.03
Pass / Rush EPA
0.65 / 0.07

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.