IcePath icepath.io · Hockey Analytics
← New Search ↗ Social Card

Nathan Stachowiak Elite Prospects ↗

Position: Forward DOB: 2004-02-24 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
2021-22 Frederick Gunn NE-Prep 34 5 19 24 0.706 0.1423 0.1423 0.3231 0.3231
2022-23 South Shore Kings NCDC 47 13 13 26 0.553 0.1559 0.1619 0.4479 0.4651
2023-24 South Shore Kings NCDC 48 23 30 53 1.104 0.3112 0.3055 0.8940 0.8775
■ 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 — SO 22 1 1 2 0.091
2024-25 SUNY Geneseo D3 — FR 10 1 6 7 0.700
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.21
before college
→
Actual FR PPG
0.70
2024-25 · SUNY Geneseo
+229.7% vs. projection

College Pathway Likelihood (based on 40 comparables)

55%
NCAA D2/D3
0%
Club / ACHA
12%
Other

NCAAe Rankings

#17423
Forward overall
#827
Forward born in 2004

D1 Comparables

Ryan Siiro
USHL · 2012-13 · 0.52 PPG
→ Princeton (0.38 D1 FR PPG)
0.31 Average
NCAAe PPG
Eric Freschi
USHL · 2012-13 · 0.51 PPG
→ Cornell (0.10 D1 FR PPG)
0.30 Developing
NCAAe PPG
Stanislav Dzakhov
NAHL · 2012-13 · 0.69 PPG
→ Niagara (0.44 D1 FR PPG)
0.25 Average
NCAAe PPG
Evan Janssen
USHL · 2012-13 · 0.45 PPG
→ Denver (0.14 D1 FR PPG)
0.27 Developing
NCAAe PPG
Devin Loe
NAHL · 2012-13 · 0.85 PPG
→ Miami (0.71 D1 FR PPG)
0.31 Strong
NCAAe PPG

D2/3 Comparables

Patrick Jobb
SUNY Plattsburgh · 2008-09
0.556 Average
actual D2/3 PPG
Adam Kudynski
Lebanon Valley · 2003-04
0.909 Strong
actual D2/3 PPG
Arlen Marshall
Manhattanville · 2004-05
0.840 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.