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Garrett Schifsky Elite Prospects ↗

Position: Forward DOB: 2003-04-08 Country: USA
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
2019-20 Andover USHS-MN 29 22 16 38 1.310 0.3527 0.3527 0.3183 0.3183
2020-21 Waterloo Black Hawks USHL 8 2 0 2 0.250 0.1537 0.1537 0.7366 0.7366
2021-22 Waterloo Black Hawks USHL 60 28 18 46 0.767 0.4713 0.4708 2.2589 2.2563
2022-23 Waterloo Black Hawks USHL 57 28 24 52 0.912 0.5608 0.5310 2.6878 2.5449
■ 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 D1 BigTen JR 40 14 13 27 0.675
2024-25 Michigan D1 BigTen JR 36 11 9 20 0.556
2023-24 Michigan D1 BigTen SO 41 16 18 34 0.829
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.47
before college
→
Actual FR PPG
0.83
2023-24 · Michigan
+75.7% vs. projection

College Pathway Likelihood (based on 40 comparables)

95%
NCAA D1
0%
NCAA D2/D3
5%
Age-Out / Club
0%
Pro / Other

NCAAe Rankings

#4235
Forward overall
#115
Forward born in 2003

D1 Comparables

Dominik Shine
USHL · 2012-13 · 0.90 PPG
→ Northern Michigan (0.45 D1 FR PPG)
0.52 Average
NCAAe PPG
Tyler Biggs
OHL · 2012-13 · 0.88 PPG
→ Miami (0.46 D1 FR PPG)
0.49 Average
NCAAe PPG
Phil Marinaccio
USHL · 2012-13 · 0.77 PPG
→ Bemidji State (0.31 D1 FR PPG)
0.45 Developing
NCAAe PPG
Michael Vecchione
USHL · 2012-13 · 0.95 PPG
→ Union (0.89 D1 FR PPG)
0.55 Elite
NCAAe PPG
Luc Gerdes
USHL · 2012-13 · 1.00 PPG
→ Colorado College (0.25 D1 FR PPG)
0.58 Developing
NCAAe PPG

D2/3 Comparables

Rihards Marenis
Aurora · 2013-14
1.000 Elite
actual D2/3 PPG
Lucas Signoretti
Buffalo State · 2023-24
1.120 Elite
actual D2/3 PPG
Zach Dill
Salem State · 2021-22
1.111 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.