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Simon Motew Elite Prospects ↗

Position: Defense DOB: 2003-03-31 Country: USA
No commitment set

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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
2019-20 Kitchener Rangers OHL 34 1 10 11 0.324 0.1877 0.1877 0.8290 0.8290
2020-21 Chicago Cougars USPHL-Premier 21 16 29 45 2.143 0.7063 0.7063 0.7290 0.7290
2021-22 Kitchener Rangers OHL 53 5 12 17 0.321 0.1862 0.1838 0.8220 0.8112
2022-23 Kitchener Rangers OHL 57 4 25 29 0.509 0.2953 0.2787 1.3038 1.2303
2023-24 Kitchener Rangers OHL 68 11 19 30 0.441 0.2560 0.2293 1.1306 1.0127
■ 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 Maine D1 HockeyEast SO 10 0 2 2 0.200
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.24
before college
→
Actual FR PPG
0.20
2025-26 · Maine
-14.9% vs. projection

College Pathway Likelihood (based on 40 comparables)

28%
NCAA D1
5%
NCAA D2/D3
68%
Age-Out / Club
0%
Pro / Other

NCAAe Rankings

#4280
Defenseman overall
#1087
Defenseman born in 2003
#1263
in OHL

D1 Comparables

Marc-Antoine Carrier
QMJHL · 2012-13 · 0.37 PPG
→ Brown (0.04 D1 FR PPG)
0.16 Developing D
NCAAe PPG
Dominic Racobaldo
USHL · 2012-13 · 0.33 PPG
→ American International (0.12 D1 FR PPG)
0.18 Developing D
NCAAe PPG
Michael Holland
USHL · 2012-13 · 0.18 PPG
→ RIT (0.05 D1 FR PPG)
0.10 Developing D
NCAAe PPG
Brandon Carlson
USHL · 2012-13 · 0.24 PPG
→ Alabama-Huntsville (0.11 D1 FR PPG)
0.13 Developing D
NCAAe PPG
Matt Krug
USHL · 2012-13 · 0.21 PPG
→ Union (0.11 D1 FR PPG)
0.12 Developing D
NCAAe PPG

D2/3 Comparables

Carter Davis
St. Scholastica · 2007-08
0.538 Average
actual D2/3 PPG
Justin Meers
Trine · 2018-19
0.643 Average
actual D2/3 PPG
Cullen Bradshaw
St. Norbert · 2010-11
0.968 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.