IcePath icepath.io · Hockey Analytics
← New Search ↗ Social Card

Grant Slukynsky Elite Prospects ↗

Position: Forward DOB: 2002-03-12 Country: USA
Signed Professionally

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
2019-20 — USHL 7 0 0 0 0.000 — — — —
2020-21 — USHL 48 0 5 5 0.104 0.0641 0.0641 0.3070 0.3070
2021-22 — USHL 62 9 20 29 0.468 0.2875 0.2717 1.3779 1.3024
2022-23 — USHL 61 21 27 48 0.787 0.4837 0.4320 2.3184 2.0708
■ 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 Western Michigan D1 NCHC JR 39 10 30 40 1.026
2024-25 Michigan D1 BigTen SR 42 10 26 36 0.857
2024-25 Western Michigan D1 NCHC — 42 10 26 36 0.857
2023-24 Michigan D1 BigTen JR 34 6 3 9 0.265
2023-24 Northern Michigan D1 CCHA — 34 6 3 9 0.265
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.31
before college
→
Actual FR PPG
0.26
2023-24 · Michigan
-15.9% vs. projection

College Pathway Likelihood (based on 40 comparables)

52%
NCAA D1
2%
NCAA D2/D3
45%
Age-Out / Club
0%
Pro / Other

NCAAe Rankings

D1 Comparables

Carlos Amestoy
OHL · 2012-13 · 0.75 PPG
→ Maine
0.39 No data
NCAAe PPG
David Goodwin
USHL · 2012-13 · 0.67 PPG
→ Penn State (0.53 D1 FR PPG)
0.37 Average
NCAAe PPG
Dylan Walchuk
WHL · 2012-13 · 0.86 PPG
→ Northern Michigan (0.42 D1 FR PPG)
0.37 Average
NCAAe PPG
Todd Skirving
USHL · 2012-13 · 0.80 PPG
→ RIT (0.65 D1 FR PPG)
0.44 Strong
NCAAe PPG
Shane Sooth
USHL · 2012-13 · 0.95 PPG
→ Northern Michigan (0.45 D1 FR PPG)
0.52 Average
NCAAe PPG

D2/3 Comparables

Ryan Bloom
New England · 2013-14
1.654 Elite
actual D2/3 PPG
Justin Fox
Salem State · 2006-07
1.429 Elite
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.