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Grayden Slipec Elite Prospects ↗

Position: Forward DOB: 2005-03-06 Country: Canada
⚠️ Aging Out 2025-26: Turns 20 before Dec 31, 2025 — final eligible junior season.
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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 Surrey Eagles BCHL 54 18 19 37 0.685 0.2552 0.2842 0.9984 1.1119
2022-23 Chicago Steel USHL 52 4 9 13 0.250 0.1537 0.1602 0.7366 0.7678
2023-24 Chicago Steel USHL 53 2 8 10 0.189 0.1160 0.1152 0.5559 0.5519
■ 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 Northern Michigan D1 CCHA SO 21 1 6 7 0.333
2024-25 Northern Michigan D1 CCHA — 32 10 9 19 0.594
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.11
before college
→
Actual FR PPG
0.59
2024-25 · Northern Michigan
+420.9% vs. projection

College Pathway Likelihood (based on 40 comparables)

25%
NCAA D1
2%
NCAA D2/D3
40%
Age-Out / Club
30%
Pro / Other

NCAAe Rankings

#34967
Forward overall
#2126
Forward born in 2005

D1 Comparables

Jordan Boucher
USHL · 2012-13 · 0.23 PPG
→ Clarkson (0.28 D1 FR PPG)
0.14 Developing
NCAAe PPG
David Parrottino
USHL · 2012-13 · 0.14 PPG
→ Canisius
0.09 No data
NCAAe PPG
Ben Storm
USHL · 2012-13 · 0.23 PPG
→ St. Cloud State (0.03 D1 FR PPG)
0.14 Developing
NCAAe PPG
Ryan McMurphy
USHL · 2012-13 · 0.14 PPG
→ Bentley (0.39 D1 FR PPG)
0.08 Average
NCAAe PPG
Brad Hawkinson
USHL · 2012-13 · 0.32 PPG
→ Denver
0.19 No data
NCAAe PPG

D2/3 Comparables

Trevor Wilhelm
Saint Mary's (MN) · 2016-17
0.640 Average
actual D2/3 PPG
Artyom Mateychenko
Manhattanville · 2018-19
0.917 Strong
actual D2/3 PPG
Cam Doull
Lake Forest · 2000-01
0.893 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.