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Ramone Green Jr.
Ramone Green Jr.

#22Ramone Green Jr.

Ramone Green Jr. is a Pass-Catching Back for Missouri State. Ramone's 2025 season ranks in the 98th percentile nationally by opponent-adjusted EPA per play across 86 plays — a elite 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 Ramone Green Jr.'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
278 Rush yards1 Rush TD52 Carries5.3 Yards/carry
Receiving
29 Receptions446 Rec yards3 Rec TD15.4 Yards/rec

Performance Analysis · 2025 · vs RB peers

  • Efficiency98
  • Volume29
  • Explosiveness46
  • Consistency61
  • 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)98th %ile · elite
Game-to-game consistency61th %ile · average
Key findings
  • Top-10% efficiency among RBs — elite opponent-adjusted EPA rate.
  • 7 high-impact games (EPA/play > 0.4) this season — elite ceiling.
  • Particularly dangerous on passing downs — efficiency spikes in obvious pass situations.
  • Production faded as the season progressed — 0.12 EPA/play decline from first to second half.
  • Peak game: 1.67 EPA/play in Wk 2 vs Marshall (SP+ -5).

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 · 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
Travis EtienneClemson0.4704.7100.1

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

Game Log · box score + EPA, week by week

+1.6701.67Wk 1 vs USC: +0.58 EPA/play1Wk 2 vs Marshall: +1.67 EPA/play2Wk 3 vs SMU: -0.42 EPA/play3Wk 4 vs UT Martin: +0.06 EPA/play4Wk 5 vs Western Kentucky: -0.07 EPA/play5Wk 7 vs Middle Tennessee: +1.27 EPA/play7Wk 9 vs New Mexico State: +0.55 EPA/play9Wk 10 vs Florida International: -0.23 EPA/play10Wk 11 vs Liberty: +1.04 EPA/play11Wk 12 vs UTEP: -0.02 EPA/play12Wk 13 vs Kennesaw State: +0.61 EPA/play13Wk 14 vs Louisiana Tech: +0.59 EPA/play14
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+CarRush YdsAvgRush TDRecRec YdsRec TDEPA/play
1@USCL13-7316.94194.8022800.58
2@MarshallW21-20-4.52105.00412311.67
3vsSMUL10-2813.4451.303130-0.42
4vsUT MartinW42-102115.5021200.06
5vsWestern KentuckyL22-271.66579.50130-0.07
7@Middle TennesseeW22-20-16.0331.0017601.27
9@New Mexico StateW24-17-15.56518.5066110.55
10vsFlorida InternationalW28-21-10.54184.50150-0.23
11@LibertyW21-17-9.02157.5024001.04
12vsUTEPW38-24-17.5341.302160-0.02
13@Kennesaw StateL34-41-5.45255.0024400.61
14vsLouisiana TechL30-42-1.35387.610.59
20vsArkansas StateL28-34-8.86223.703251

Usage & Situational · Pro

Snap-share proxy
Overall
10.0%
Passing plays
7.8%
Rushing plays
13.2%
Standard downs
9.6%
Passing downs
10.8%
EPA by down type
Standard downs
0.16
Passing downs
0.84
Pass / Rush EPA
0.88 / 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.