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Kalem Parker Elite Prospects ↗

Position: Defense DOB: 2004-10-12 Country: Canada
2023 NHL Draft Round 6, Pick #181  ·  Minnesota Wild Minnesota Wild
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
2020-21 Victoria Royals WHL 21 0 6 6 0.286 0.1390 0.1390 0.7001 0.7001
2021-22 Victoria Royals WHL 66 2 18 20 0.303 0.1474 0.1572 0.7424 0.7919
2022-23 Victoria Royals WHL 68 6 32 38 0.559 0.2719 0.2773 1.3692 1.3965
2023-24 Moose Jaw Warriors WHL 65 6 36 42 0.646 0.3144 0.3052 1.5834 1.5370
2024-25 Calgary Hitmen WHL 66 10 30 40 0.606 0.2949 0.2705 1.4851 1.3623
■ 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 Michigan Tech D1 CCHA FR 39 4 9 13 0.333
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.27
before college
→
Actual FR PPG
0.33
2025-26 · Michigan Tech
+24.1% vs. projection

College Pathway Likelihood (based on 40 comparables)

35%
NCAA D1
0%
NCAA D2/D3
65%
Age-Out / Club
0%
Pro / Other

NCAAe Rankings

#3163
Defenseman overall
#796
Defenseman born in 2004
#877
in WHL

D1 Comparables

Benjamin Gallacher
USHL · 2012-13 · 0.45 PPG
→ Ohio State (0.50 D1 FR PPG)
0.25 Elite D
NCAAe PPG
Nolan Valleau
USHL · 2012-13 · 0.41 PPG
→ Bowling Green
0.23 No data
NCAAe PPG
Brandon Kirk
USHL · 2012-13 · 0.32 PPG
→ Dartmouth
0.18 No data
NCAAe PPG
Patrick Koudys
USHL · 2012-13 · 0.23 PPG
→ RPI (0.10 D1 FR PPG)
0.13 Developing D
NCAAe PPG
Matt Van Voorhis
USHL · 2012-13 · 0.47 PPG
→ Denver (0.10 D1 FR PPG)
0.27 Developing D
NCAAe PPG

D2/3 Comparables

Anthony Libonati
Becker · 2006-07
1.000 Elite
actual D2/3 PPG
Joel Covelli
Colby · 2004-05
1.042 Elite
actual D2/3 PPG
David Szmyd
SUNY Geneseo · 2015-16
1.074 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.