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Tony Malinowski Elite Prospects ↗

Position: Defense DOB: 1999-10-15 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
2017-18 — USHL 46 1 8 9 0.196 0.1154 0.1185 0.5878 0.6037
2018-19 Des Moines Buccaneers USHL 42 1 7 8 0.191 0.1124 0.1096 0.5721 0.5581
■ 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
2023-24 Minnesota State D1 BigTen — 13 0 4 4 0.308
2022-23 Minnesota State D1 BigTen — 37 1 5 6 0.162
2021-22 Minnesota State D1 CCHA — 17 0 1 1 0.059
2020-21 Minnesota State D1 WCHA SO 10 1 2 3 0.300
2019-20 Minnesota State D1 BigTen — 0 0 0 0 0.000

College Pathway Likelihood (based on 40 comparables)

45%
NCAA D1
8%
NCAA D2/D3
15%
Age-Out / Club
32%
Pro / Other

NCAAe Rankings

#14451
Defenseman overall
#2449
Defenseman born in 1999
#3660
in USHL

D1 Comparables

Neal Goff
USHL · 2012-13 · 0.18 PPG
→ Western Michigan (0.14 D1 FR PPG)
0.10 Developing D
NCAAe PPG
Joe Schuldt
USHL · 2012-13 · 0.08 PPG
→ Michigan Tech
0.05 No data
NCAAe PPG
Mike Preston
USHL · 2012-13 · 0.07 PPG
→ Army (0.16 D1 FR PPG)
0.04 Average D
NCAAe PPG
Christian Neumann
USHL · 2012-13 · 0.29 PPG
→ UConn (0.10 D1 FR PPG)
0.16 Developing D
NCAAe PPG
Tommy Davis
USHL · 2012-13 · 0.34 PPG
→ Princeton (0.29 D1 FR PPG)
0.20 Average D
NCAAe PPG

D2/3 Comparables

Zac Boyle
Neumann · 2015-16
0.389 Average
actual D2/3 PPG
Justin Geary
Wilkes · 2017-18
0.000 No data
actual D2/3 PPG
R.G. Flath
Milwaukee School of Engineering · 2003-04
1.240 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.