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Nate Noel

#8Nate Noel

Nate Noel is a Committee Back for App State. Nate's 2023 season ranks in the 0th percentile nationally by opponent-adjusted EPA per play across 184 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 Nate Noel'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
825 Rush yards5 Rush TD173 Carries4.8 Yards/carry
Receiving
16 Receptions86 Rec yards0 Rec TD5.4 Yards/rec

Performance Analysis · 2023 · vs RB peers

  • Efficiency0
  • Volume68
  • Explosiveness36
  • Consistency0
  • Receiving35
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.
  • Peak game: 0.41 EPA/play in Wk 11 vs Georgia State (SP+ -7).

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.

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

+0.4100.41Wk 1 vs Gardner-Webb: +0.03 EPA/play1Wk 2 vs North Carolina: +0.09 EPA/play2Wk 3 vs East Carolina: +0.32 EPA/play3Wk 4 vs Wyoming: -0.14 EPA/play4Wk 5 vs UL Monroe: +0.11 EPA/play5Wk 7 vs Coastal Carolina: -0.31 EPA/play7Wk 9 vs Southern Miss: -0.32 EPA/play9Wk 10 vs Marshall: +0.33 EPA/play10Wk 11 vs Georgia State: +0.41 EPA/play11Wk 12 vs James Madison: -0.33 EPA/play12Wk 14 vs Troy: +0.09 EPA/play14
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+CarRush YdsAvgRush TDRecRec YdsRec TDEPA/play
1vsGardner-WebbW45-24241154.810.03
2@North CarolinaL34-407.4261274.921900.09
3vsEast CarolinaW43-28-12.8261786.8131800.32
4@WyomingL19-22-3.6301073.60240-0.14
5@UL MonroeW41-40-21.6181096.1031600.11
7vsCoastal CarolinaL24-27-1.2111.00140-0.31
9vsSouthern MissW48-38-14.4382.70-0.32
10vsMarshallW31-9-9.011262.4021800.33
11@Georgia StateW42-14-6.810868.611200.41
12@James MadisonW26-2311.810212.10140-0.33
14@TroyL23-499.814473.4021100.09

Usage & Situational · Pro

Snap-share proxy
Overall
23.7%
Passing plays
4.6%
Rushing plays
41.4%
Standard downs
25.4%
Passing downs
19.8%
EPA by down type
Standard downs
0.05
Passing downs
0.15
Pass / Rush EPA
0.22 / 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.