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Jordan Simmons

Jordan Simmons

Jordan Simmons is a Pass-Catching Back for Georgia State. Jordan's 2025 season ranks in the 38th percentile nationally by opponent-adjusted EPA per play across 127 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 Jordan Simmons'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
543 Rush yards2 Rush TD97 Carries5.6 Yards/carry
Receiving
28 Receptions192 Rec yards1 Rec TD6.9 Yards/rec

Performance Analysis · 2025 · vs RB peers

  • Efficiency38
  • Volume50
  • Explosiveness52
  • Consistency36
  • Receiving92
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)38th %ile · below avg
Game-to-game consistency36th %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.
  • Particularly dangerous on passing downs — efficiency spikes in obvious pass situations.
  • Strong second-half surge — EPA/play improved 0.17 from the first to second half of the season.
  • Peak game: 0.39 EPA/play in Wk 12 vs Marshall (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

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

Game Log · box score + EPA, week by week

+0.5100.51Wk 1 vs Ole Miss: -0.15 EPA/play1Wk 3 vs Murray State: +0.21 EPA/play3Wk 4 vs Vanderbilt: +0.39 EPA/play4Wk 6 vs James Madison: +0.15 EPA/play6Wk 7 vs App State: -0.51 EPA/play7Wk 8 vs Georgia Southern: +0.26 EPA/play8Wk 9 vs South Alabama: +0.21 EPA/play9Wk 11 vs Coastal Carolina: +0.14 EPA/play11Wk 12 vs Marshall: +0.39 EPA/play12Wk 13 vs Troy: +0.18 EPA/play13Wk 14 vs Old Dominion: +0.00 EPA/play14
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+CarRush YdsAvgRush TDRecRec YdsRec TDEPA/play
1@Ole MissL7-6324.01-20-0.15
3vsMurray StateW37-212105.000.21
4@VanderbiltL21-7020.34215.301410.39
6vsJames MadisonL7-1412.3320.7032800.15
7vsApp StateL20-41-11.4273.50110-0.51
8@Georgia SouthernL24-41-9.4273.5032000.26
9vsSouth AlabamaL31-38-12.711787.1031100.21
11@Coastal CarolinaL27-40-15.120995.0152500.14
12vsMarshallL18-30-4.5191648.6166400.39
13@TroyL19-31-4.817673.9043900.18
14@Old DominionL10-275.917885.201200.00

Usage & Situational · Pro

Snap-share proxy
Overall
17.5%
Passing plays
8.9%
Rushing plays
29.9%
Standard downs
20.6%
Passing downs
11.5%
EPA by down type
Standard downs
0.15
Passing downs
0.37
Pass / Rush EPA
0.17 / 0.21

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.