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Noah Whittington

#6Noah Whittington

Noah Whittington is a Pass-Catching Back for Oregon. Noah's 2025 season ranks in the 0th percentile nationally by opponent-adjusted EPA per play across 137 plays — a developing rate for the RB.

2026 Usage Outlook · projected share of team plays

17%
projected
band 10%'25 18%24%

Regressed toward the RB mean. Model correlation r≈0.52 on a 2019-2025 walk-forward — volume only; efficiency not projected.

2025 Production

Rushing
829 Rush yards6 Rush TD129 Carries6.4 Yards/carry
Receiving
19 Receptions98 Rec yards1 Rec TD5.2 Yards/rec
Returns
6 Kick returns126 KR yards0 KR TD

Performance Analysis · 2025 · vs RB peers

EfficiencyVolumeExplosivenessConsistencyReceiving
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 consistency29th %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.
  • 3 high-impact games (EPA/play > 0.4) this season — elite ceiling.
  • Production faded as the season progressed — 0.67 EPA/play decline from first to second half.
  • Peak game: 2.01 EPA/play in Wk 2 vs Oklahoma State (SP+ -15).

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 2014–2024 matched on EPA efficiency, play volume, and adjusted value tier — not just one metric.

PlayerTeamYrPlaysWEPA/playLine valTotal EPA
Saquon BarkleyPenn State20162880.3403.997.9

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

Game Log · box score + EPA, week by week

Wk 1 vs Montana State: +0.63 EPA/play1Wk 2 vs Oklahoma State: +2.01 EPA/play2Wk 5 vs Penn State: -0.21 EPA/play5Wk 7 vs Indiana: -0.13 EPA/play7Wk 8 vs Rutgers: +0.92 EPA/play8Wk 11 vs Iowa: +0.35 EPA/play11Wk 12 vs Minnesota: +0.11 EPA/play12Wk 13 vs USC: +0.01 EPA/play13Wk 14 vs Washington: -0.39 EPA/play14Wk 1 vs Texas Tech: -0.11 EPA/play1Wk 1 vs James Madison: -0.11 EPA/play1
EPA per play, by weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+CarRush YdsAvgRush TDRecRec YdsRec TDEPA/play
1vsMontana StateW59-1310686.810.63
2vsOklahoma StateW69-3-15.149122.812.01
5@Penn StateW30-2418.17253.602100-0.21
7vsIndianaL20-3032.45275.403150-0.13
8@RutgersW56-101.01112511.422910.92
9vsWisconsinW21-7-4.414976.90
11@IowaW18-1619.7171186.902400.35
12vsMinnesotaW42-131.58729.0121000.11
13vsUSCW42-2716.9191045.5142200.01
14@WashingtonW26-1418.417472.80160-0.39
1vsTexas TechW23-027.613312.402100-0.11
1vsJames MadisonW51-3412.34246.001120-0.11

Usage & Situational · Pro

Snap-share proxy
Overall
17.7%
Passing plays
7.2%
Rushing plays
27.1%
Standard downs
19.8%
Passing downs
11.7%
EPA by down type
Standard downs
0.20
Passing downs
-0.02
Pass / Rush EPA
-0.06 / 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.