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Gerald Green

#0Gerald Green

Gerald Green is a Pass-Catching Back for East Carolina. Gerald's 2023 season produced 3.4 total EPA across 31 plays.

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 Gerald Green'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
101 Rush yards2 Rush TD25 Carries4.0 Yards/carry
Receiving
8 Receptions38 Rec yards0 Rec TD4.8 Yards/rec

Performance Analysis · 2023 · vs RB peers

  • Efficiency0
  • Volume25
  • Explosiveness20
  • Consistency24
  • Receiving83
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 consistency24th %ile · below avg
Key findings
  • Below-average efficiency vs RB peers — value comes through volume, not per-play impact.
  • Limited usage share suggests a rotational or specialist role.
  • High game-to-game variance — boom-or-bust profile.
  • Particularly dangerous on passing downs — efficiency spikes in obvious pass situations.
  • Production faded as the season progressed — 0.78 EPA/play decline from first to second half.
  • Peak game: 1.35 EPA/play in Wk 9 vs UTSA (SP+ 5).

NIL Market Tier· 2023

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.

Game Log · box score + EPA, week by week

+1.3501.35Wk 1 vs Michigan: +0.66 EPA/play1Wk 4 vs Gardner-Webb: -0.12 EPA/play4Wk 9 vs UTSA: +1.35 EPA/play9Wk 10 vs Tulane: -0.12 EPA/play10Wk 11 vs Florida Atlantic: +0.14 EPA/play11Wk 12 vs Navy: -0.48 EPA/play12
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+CarRush YdsAvgRush TDRecRec YdsRec TDEPA/play
1@MichiganL3-3031.321700.66
4vsGardner-WebbW44-0133.00-0.12
9@UTSAL27-415.435317.701.35
10vsTulaneL10-132.85142.81210-0.12
11@Florida AtlanticW22-7-9.415332.2111100.14
12@NavyL0-10-13.71-2-2.00390-0.48

Usage & Situational · Pro

Snap-share proxy
Overall
8.8%
Passing plays
4.0%
Rushing plays
14.5%
Standard downs
8.6%
Passing downs
9.3%
EPA by down type
Standard downs
-0.10
Passing downs
0.44
Pass / Rush EPA
0.02 / 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.
Gerald Green Stats, EPA & Player Profile — East Carolina · Gridpex