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Noah Rogers

#5Noah Rogers

Noah Rogers is a Slot Specialist WR for NC State. Noah's 2025 season produced 28.5 total EPA across 45 plays.

What projects, and what doesn't · WRs · 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)0.47
    Beats guessing the WR average by 16%. n=6,302 WR seasons
  • EPA per play (efficiency)0.09
    Not projectable — we do not forecast this. n=5,767 WR seasons
  • Total EPA (value)0.45
    Beats guessing the WR average by 12%. n=5,767 WR seasons

Across all positions, usage carries year to year at 0.47 and efficiency at 0.07. So Noah Rogers'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

Receiving
31 Receptions413 Rec yards2 Rec TD13.3 Yards/rec

Performance Analysis · 2025 · vs WR peers

  • Efficiency100
  • Volume18
  • Explosiveness42
  • Consistency78
  • Pass-Down100
Player type
Slot Specialist WR

The offense's primary passing-down weapon — routes, separation, and reliability on 3rd down define this role.

3rd-down converterRoute technicianHigh passing-down share
Peer percentiles
Opponent-adjusted EPA (WEPA/play)100th %ile · elite
Game-to-game consistency78th %ile · above avg
Key findings
  • Top-10% efficiency among WRs — elite opponent-adjusted EPA rate.
  • Limited usage share suggests a rotational or specialist role.
  • High game-to-game consistency — reliable floor each week.
  • 8 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 — 0.65 EPA/play decline from first to second half.
  • Peak game: 1.48 EPA/play in Wk 3 vs Wake Forest (SP+ 6).

NIL Market Tier· 2025

On3 valuation ↗
Elite

Top-3 player at position nationally. Collective + national brand 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 · WR · 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
Quadree HendersonPittsburgh0.5301.633.4
DeAndre HughesAir Force0.4701.328.2
Keytaon ThompsonMississippi State0.4601.232.2
Savion WilliamsTCU0.4501.125.2
Javion PoseyFlorida Atlantic0.4501.423.8

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

Game Log · box score + EPA, week by week

+1.4801.48Wk 1 vs East Carolina: +0.54 EPA/play1Wk 2 vs Virginia: +0.56 EPA/play2Wk 3 vs Wake Forest: +1.48 EPA/play3Wk 4 vs Duke: +1.46 EPA/play4Wk 5 vs Virginia Tech: +0.70 EPA/play5Wk 6 vs Campbell: +0.95 EPA/play6Wk 9 vs Pittsburgh: +0.69 EPA/play9Wk 10 vs Georgia Tech: +0.71 EPA/play10Wk 12 vs Miami: +0.03 EPA/play12Wk 14 vs North Carolina: -0.23 EPA/play14
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
1vsEast CarolinaW24-178.02199.50100.54
2vsVirginiaW35-3111.123819.01270.56
3@Wake ForestW34-245.745213.00201.48
4@DukeL33-456.634816.00251.46
5vsVirginia TechL21-23-10.111616.00160.70
6vsCampbellW56-1036220.70480.95
9@PittsburghL34-538.43268.71150.69
10vsGeorgia TechW48-369.377210.30170.71
12@MiamiL7-4120.72136.5070.03
14vsNorth CarolinaW42-19-6.623015.0024-0.23
20vsMemphisW31-77.623718.5021

Usage & Situational · Pro

Snap-share proxy
Overall
6.2%
Passing plays
12.1%
Rushing plays
0.0%
Standard downs
4.6%
Passing downs
9.5%
EPA by down type
Standard downs
0.19
Passing downs
1.10
Pass / Rush EPA
0.63 / —

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.