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Nathan Stachowiak Elite Prospects ↗

Position: Forward DOB: 2004-02-24 Country: USA
No commitment set

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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 Frederick Gunn NE-Prep 34 5 19 24 0.706 0.1398 0.1398 0.3216 0.3216
2022-23 South Shore Kings NCDC 47 13 13 26 0.553 0.2255 0.2341 0.4447 0.4617
2023-24 South Shore Kings NCDC 48 23 30 53 1.104 0.4502 0.4419 0.8876 0.8713
■ 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 SUNY Geneseo D3 SUNYAC SO 22 1 1 2 0.091
2024-25 SUNY Geneseo D3 SUNYAC FR 10 1 6 7 0.700
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.31
before college
→
Actual FR PPG
0.70
2024-25 · SUNY Geneseo
+127.9% vs. projection

College Pathway Likelihood (based on 40 comparables)

35%
NCAA D2/D3
0%
Club / ACHA
10%
Other

NCAAe Rankings

#6907
Forward overall
#233
Forward born in 2004

D1 Comparables

Chad McDonald
USHL · 2012-13 · 0.79 PPG
→ Ferris State (0.48 D1 FR PPG)
0.44 Average
NCAAe PPG
Michael Vecchione
USHL · 2012-13 · 0.95 PPG
→ Union (0.89 D1 FR PPG)
0.53 Elite
NCAAe PPG
Phil Marinaccio
USHL · 2012-13 · 0.77 PPG
→ Bemidji State (0.31 D1 FR PPG)
0.43 Developing
NCAAe PPG
Charlie O'Connor
USHL · 2012-13 · 0.64 PPG
→ Bemidji State (0.10 D1 FR PPG)
0.36 Developing
NCAAe PPG
Jared Linnell
USHL · 2012-13 · 0.72 PPG
→ Alaska Fairbanks (0.20 D1 FR PPG)
0.40 Developing
NCAAe PPG

D2/3 Comparables

Keenan Hodgson
Amherst · 2012-13
1.111 Elite
actual D2/3 PPG
Jory McWilliams
Bethel · 2017-18
0.000 No data
actual D2/3 PPG
Chance Gorman
Elmira · 2018-19
0.800 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.