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Noah Ellis Elite Prospects ↗

Position: Defense DOB: 2002-02-01 Country: USA
2020 · Round 6, Pick #184  ·  Vegas Golden Knights Vegas Golden Knights
No commitment set

Set Commitment

NCAA Division I

NCAA D3 / D2

Career Trajectory
Dashed = raw PPG  ·  ■ Solid blue = age-adjusted NCAAe-PPG  ·  ■ Green = actual college PPG
Junior Seasons
Season Team League GP G A Pts PPG NCAAe-PPG Age-Adj D3e-PPG Age-Adj
2018-19 — USHL 9 0 0 0 0.000 — — — —
2019-20 — USHL 47 5 6 11 0.234 0.1380 0.1380 0.7028 0.7028
2020-21 — USHL 40 5 12 17 0.425 0.2507 0.2507 1.2764 1.2764
2021-22 — USHL 59 8 25 33 0.559 0.3299 0.3101 1.6798 1.5788
■ Blue = NCAAe (D1 anchor)   ■ Green = D3e (D3 anchor)   COVID-flagged seasons highlighted in yellow
College Seasons (Historical)
Season School Div Conference Year GP G A Pts PPG
2025-26 Sacred Heart D1 AHA SR 40 9 10 19 0.475
2024-25 Nebraska Omaha D1 NCHC — 26 1 3 4 0.154
2023-24 Nebraska Omaha D1 NCHC — 21 0 3 3 0.143
2022-23 UMass D1 HockeyEast — 23 1 1 2 0.087
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.29
before college
→
Actual FR PPG
0.09
2022-23 · UMass
-70.3% vs. projection

College Pathway Likelihood (based on 40 comparables)

92%
NCAA D1
0%
NCAA D2/D3
8%
Pro / Other

NCAAe Rankings

#3872
Defenseman overall
#1007
Defenseman born in 2002
#1847
in USHL

D1 Comparables

Barrett Kaib
USHL · 2012-13 · 0.57 PPG
→ Providence (0.19 D1 FR PPG)
0.32 Average D
NCAAe PPG
Victor Newell
USHL · 2012-13 · 0.52 PPG
→ Harvard (0.67 D1 FR PPG)
0.29 Elite D
NCAAe PPG
Taylor Fleming
USHL · 2012-13 · 0.48 PPG
→ Western Michigan (0.17 D1 FR PPG)
0.26 Average D
NCAAe PPG
Matt Van Voorhis
USHL · 2012-13 · 0.47 PPG
→ Denver (0.10 D1 FR PPG)
0.26 Developing D
NCAAe PPG
Connor Murphy
OHL · 2012-13 · 0.55 PPG
→ Cornell (0.20 D1 FR PPG)
0.30 Average D
NCAAe PPG

D2/3 Comparables

Scott Hudson
Manhattanville · 2007-08
1.231 Elite
actual D2/3 PPG
Beau Moyer
Wisconsin-Superior · 2000-01
0.708 Strong
actual D2/3 PPG
Coby Downs
Norwich · 2016-17
1.000 Elite
actual D2/3 PPG

How to read this: NCAAe and D3e factors convert a player's junior PPG into expected NCAA scoring at the D1 or D3 level. Harder conferences → lower projected PPG for the same player. A strong junior player (e.g. USHL 0.90 PPG) will project much higher in NESCAC than Big Ten because the D3 scoring environment is lower-difficulty.

Strength factor: conferences above 1.0 are harder than average; below 1.0 are easier. The formula is: Base NCAAe PPG ÷ Conference Strength = Projected PPG.