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Kristian Malec Elite Prospects ↗

Position: Forward DOB: 2002-11-02 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 New York Aviators USPHL-Elite 2 0 0 0 0.000 — — — —
2021-22 New England Wolves EHL 45 5 10 15 0.333 0.0770 0.0800 0.1631 0.1694
■ 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 Stony Brook University ACHA_D1 — — 32 7 7 14 0.438
2024-25 Stony Brook University ACHA_D1 — — 32 7 7 14 0.438
2023-24 Stony Brook University ACHA_D1 — — 32 7 7 14 0.438
2022-23 Stony Brook University ACHA_D1 — — 32 7 7 14 0.438
2021-22 Stony Brook University ACHA_D1 — — 32 7 7 14 0.438
2020-21 Stony Brook University ACHA_D1 — — 32 7 7 14 0.438

College Pathway Likelihood (based on 40 comparables)

10%
NCAA D2/D3
0%
Club / ACHA
50%
Other

NCAAe Rankings

#43438
Forward overall
#2740
Forward born in 2002

D1 Comparables

Sebastian Weberg
USHL · 2012-13 · 0.23 PPG
→ Colgate
0.13 No data
NCAAe PPG
Tyler Hynes
USHL · 2012-13 · 0.28 PPG
→ Union (0.19 D1 FR PPG)
0.16 Developing
NCAAe PPG
Conor Andrle
USHL · 2012-13 · 0.20 PPG
→ Army (0.53 D1 FR PPG)
0.11 Average
NCAAe PPG
Canon Pieper
USHL · 2012-13 · 0.28 PPG
→ Quinnipiac (0.08 D1 FR PPG)
0.16 Developing
NCAAe PPG
Dylan Gareau
USHL · 2012-13 · 0.34 PPG
→ Clarkson (0.14 D1 FR PPG)
0.20 Developing
NCAAe PPG

D2/3 Comparables

Daniel Hamburg
Castleton · 2011-12
0.000 No data
actual D2/3 PPG
Drew Lorinchak
Endicott · 2018-19
0.000 No data
actual D2/3 PPG
Jonathan Meijer
Post · 2022-23
0.250 Developing
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.