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Harrison Lodewyk Elite Prospects ↗

Position: Forward DOB: 2005-03-01 Country: Canada
RPI
ECAC D1

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
2021-22 Prince Albert Raiders WHL 55 2 2 4 0.073 0.0354 0.0384 0.1784 0.1937
2022-23 Prince Albert Raiders WHL 66 7 11 18 0.273 0.1327 0.1379 0.6691 0.6953
2023-24 Prince Albert Raiders WHL 68 6 18 24 0.353 0.1717 0.1700 0.8659 0.8571
2024-25 Prince Albert Raiders WHL 40 12 6 18 0.450 0.2189 0.2050 1.1042 1.0340
2025-26 Prince Albert Raiders WHL 55 18 22 40 0.727 0.3538 0.3149 1.7846 1.5886
■ Blue = NCAAe (D1 anchor)   ■ Green = D3e (D3 anchor)   COVID-flagged seasons highlighted in yellow

College Pathway Likelihood (based on 40 comparables)

38%
NCAA D1
0%
NCAA D2/D3
32%
Age-Out / Club
28%
Pro / Other

NCAAe Rankings

#19184
Forward overall
#1024
Forward born in 2005
#700
in WHL

D1 Comparables

David Goodwin
USHL · 2012-13 · 0.67 PPG
→ Penn State (0.53 D1 FR PPG)
0.35 Average
NCAAe PPG
Dylan Walchuk
WHL · 2012-13 · 0.86 PPG
→ Northern Michigan (0.42 D1 FR PPG)
0.37 Average
NCAAe PPG
Carlos Amestoy
OHL · 2012-13 · 0.75 PPG
→ Maine
0.39 No data
NCAAe PPG
Yasin Cissé
QMJHL · 2012-13 · 0.52 PPG
→ Boston University
0.23 No data
NCAAe PPG
Jordan Nelson
USHL · 2012-13 · 0.59 PPG
→ Minnesota State (0.22 D1 FR PPG)
0.31 Developing
NCAAe PPG

RPI Alumni similar profiles who attended this school

Jackson Kyrkostas
NE-Prep 2022-23
0.17
actual FR PPG at RPI
Donovan Ott
NAHL 2017-18
0.31
actual FR PPG at RPI
Danny Ciccarello
NE-Prep 2019-20
0.08
actual FR PPG at RPI
Jake Gagnon
NE-Prep 2018-19
0.00
actual FR PPG at RPI

D2/3 Comparables

Tanner Dalton
Milwaukee School of Engineering · 2017-18
0.000 No data
actual D2/3 PPG
Ben Blasko
Nazareth · 2012-13
1.000 Elite
actual D2/3 PPG
Braden Desmet
Wisconsin-Superior · 2005-06
1.391 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.