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Noah Dollo Elite Prospects ↗

Position: Forward DOB: 1998-10-26 Country: Canada
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
2016-17 Lindsay Muskies OJHL 53 13 17 30 0.566 0.1387 0.1435 0.3897 0.4032
2017-18 Lindsay Muskies OJHL 52 22 22 44 0.846 0.2074 0.2046 0.5826 0.5748
2018-19 Haliburton County Huskies OJHL 32 5 12 17 0.531 0.1302 0.1221 0.3657 0.3429
■ 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
2021-22 SUNY Potsdam D3 SUNYAC SO 10 0 1 1 0.100
2019-20 Trine D1 NCHA FR 3 1 0 1 0.333
2019-20 Trine D3 NCHA — 3 1 0 1 0.333
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.13
before college
→
Actual FR PPG
0.33
2019-20 · Trine
+151.0% vs. projection

College Pathway Likelihood (based on 40 comparables)

40%
NCAA D1
5%
NCAA D2/D3
52%
Age-Out / Club
2%
Pro / Other

NCAAe Rankings

#29704
Forward overall
#1465
Forward born in 1998
#1538
in OJHL

D1 Comparables

Cullen Hurley
USHL · 2012-13 · 0.38 PPG
→ Wisconsin
0.21 No data
NCAAe PPG
Woody Hudson
USHL · 2012-13 · 0.43 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.23 Developing
NCAAe PPG
Max Birkinbine
USHL · 2012-13 · 0.46 PPG
→ Air Force (0.14 D1 FR PPG)
0.25 Developing
NCAAe PPG
Tayler Munson
USHL · 2012-13 · 0.31 PPG
→ Alaska Fairbanks (0.35 D1 FR PPG)
0.17 Average
NCAAe PPG
Alexander Dahl
USHL · 2012-13 · 0.38 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.21 Developing
NCAAe PPG

D2/3 Comparables

Keegan Driscoll
Alvernia · 2024-25
0.478 Average
actual D2/3 PPG
Wilhelm Patriksson
Curry · 2022-23
0.278 Developing
actual D2/3 PPG
Adam Baldassarre
Westfield State · 2009-10
0.348 Developing
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.