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Luke van Why Elite Prospects ↗

Position: Defense DOB: 2003-01-21 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
2021-22 Maryland Black Bears NAHL 54 4 26 30 0.556 0.2201 0.2265 0.5833 0.6003
2022-23 Maryland Black Bears NAHL 51 13 28 41 0.804 0.3185 0.3121 0.8440 0.8271
■ 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 Robert Morris D1 AHA JR 31 3 7 10 0.323
2024-25 Robert Morris D1 AHA — 31 2 12 14 0.452
2023-24 Robert Morris D1 AHA — 18 2 2 4 0.222
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.26
before college
→
Actual FR PPG
0.22
2023-24 · Robert Morris
-15.3% vs. projection

College Pathway Likelihood (based on 40 comparables)

38%
NCAA D1
0%
NCAA D2/D3
30%
Age-Out / Club
32%
Pro / Other

NCAAe Rankings

#3581
Defenseman overall
#905
Defenseman born in 2003
#1048
in NAHL

D1 Comparables

Barrett Kaib
USHL · 2012-13 · 0.57 PPG
→ Providence (0.19 D1 FR PPG)
0.33 Average D
NCAAe PPG
Matt Van Voorhis
USHL · 2012-13 · 0.47 PPG
→ Denver (0.10 D1 FR PPG)
0.27 Developing D
NCAAe PPG
Taylor Fleming
USHL · 2012-13 · 0.48 PPG
→ Western Michigan (0.17 D1 FR PPG)
0.27 Average D
NCAAe PPG
Victor Newell
USHL · 2012-13 · 0.52 PPG
→ Harvard (0.67 D1 FR PPG)
0.30 Elite 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

Sy Nutkevitch
SUNY Potsdam · 2007-08
0.880 Strong
actual D2/3 PPG
Kevin Van Bokkelen
Lebanon Valley · 2016-17
0.550 Average
actual D2/3 PPG
Tyler Barrow
Wilkes · 2017-18
1.385 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.