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Jackson Nieuwendyk Elite Prospects ↗

Position: Forward DOB: 2002-09-04 Country: USA
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 Central Illinois Flying Aces USHL 4 0 0 0 0.000 — — — —
2019-20 Sioux City Musketeers USHL 48 1 6 7 0.146 0.0860 0.0860 0.4379 0.4379
2020-21 Sioux City Musketeers USHL 41 1 4 5 0.122 0.0720 0.0720 0.3664 0.3664
2021-22 Penticton Vees BCHL 52 9 13 22 0.423 0.1630 0.1611 0.6157 0.6086
2022-23 Penticton Vees BCHL 51 20 21 41 0.804 0.3097 0.2910 1.1699 1.0992
■ 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
2024-25 Canisius D1 AHA — 22 1 2 3 0.136
2023-24 Canisius D1 AHA — 34 2 5 7 0.206
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.20
before college
→
Actual FR PPG
0.21
2023-24 · Canisius
0.6% vs. projection

College Pathway Likelihood (based on 40 comparables)

57%
NCAA D1
8%
NCAA D2/D3
15%
Age-Out / Club
20%
Pro / Other

NCAAe Rankings

#27901
Forward overall
#1611
Forward born in 2002

D1 Comparables

Emil Romig
NAHL · 2012-13 · 1.00 PPG
→ Denver (0.31 D1 FR PPG)
0.35 Developing
NCAAe PPG
Jonathan Davis
NAHL · 2012-13 · 1.03 PPG
→ Nebraska Omaha (0.06 D1 FR PPG)
0.36 Developing
NCAAe PPG
Woody Hudson
USHL · 2012-13 · 0.43 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.23 Developing
NCAAe PPG
Sean Gaffney
NAHL · 2012-13 · 1.14 PPG
→ UConn (0.18 D1 FR PPG)
0.40 Developing
NCAAe PPG
A.J. Reid
NAHL · 2012-13 · 1.18 PPG
→ Air Force (0.26 D1 FR PPG)
0.41 Developing
NCAAe PPG

D2/3 Comparables

Gregg Burmaster
Utica · 2014-15
1.000 Elite
actual D2/3 PPG
Jon Gaffney
Utica · 2008-09
0.920 Strong
actual D2/3 PPG
Chris Laganiere
SUNY Oswego · 2006-07
0.750 Strong
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.