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Jack Natyshak Elite Prospects ↗

Position: Forward DOB: 2003-01-21 Country: Canada
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 — OJHL 53 11 9 20 0.377 0.0925 0.0928 0.2583 0.2593
2022-23 — OJHL 52 14 26 40 0.769 0.1885 0.1796 0.5265 0.5016
2023-24 Burlington Cougars OJHL 50 8 15 23 0.460 0.1127 0.1015 0.3149 0.2836
■ 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 Alvernia D3 MAC SO 17 3 1 4 0.235
2024-25 Alvernia D3 MAC — 22 0 8 8 0.364
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.11
before college
→
Actual FR PPG
0.36
2024-25 · Alvernia
+220.1% vs. projection

College Pathway Likelihood (based on 40 comparables)

15%
NCAA D1
8%
NCAA D2/D3
75%
Age-Out / Club
2%
Pro / Other

NCAAe Rankings

#34466
Forward overall
#2098
Forward born in 2003
#2003
in OJHL

D1 Comparables

Ali Thomas
USHL · 2012-13 · 0.34 PPG
→ Notre Dame (0.18 D1 FR PPG)
0.18 Developing
NCAAe PPG
Will Suter
USHL · 2012-13 · 0.47 PPG
→ Bentley (0.10 D1 FR PPG)
0.25 Developing
NCAAe PPG
Yasin Cissé
QMJHL · 2012-13 · 0.52 PPG
→ Boston University
0.23 No data
NCAAe PPG
Eli Lichtenwald
USHL · 2012-13 · 0.36 PPG
→ Union (0.68 D1 FR PPG)
0.19 Strong
NCAAe PPG
Woody Hudson
USHL · 2012-13 · 0.43 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.23 Developing
NCAAe PPG

D2/3 Comparables

Ben Bradbury
Augsburg · 2004-05
0.417 Average
actual D2/3 PPG
Zach Palmer
Nichols · 2015-16
0.000 No data
actual D2/3 PPG
Cory Patterson
St. Norbert · 2007-08
0.300 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.