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Zach Dubinsky Elite Prospects ↗

Position: Forward DOB: 2000-03-14 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
2016-17 Minnesota Magicians NAHL 3 0 0 0 0.000 — — — —
2017-18 Lincoln Stars USHL 53 3 11 14 0.264 0.1559 0.1633 0.7935 0.8314
2018-19 Lincoln Stars USHL 19 2 3 5 0.263 0.1553 0.1547 0.7905 0.7874
2020-21 Omaha Lancers USHL 32 14 20 34 1.062 0.6268 0.6268 3.1911 3.1911
■ 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 Vermont D1 HockeyEast — 30 2 9 11 0.367
2022-23 Michigan State D1 BigTen — 37 1 4 5 0.135
2021-22 RPI D1 ECAC — 44 10 10 20 0.455
2019-20 RPI D1 ECAC FR 22 2 10 12 0.545
2019-20 Rensselaer D1 — FR 22 2 10 12 0.545
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.14
before college
→
Actual FR PPG
0.55
2019-20 · RPI
+302.9% vs. projection

College Pathway Likelihood (based on 40 comparables)

40%
NCAA D1
2%
NCAA D2/D3
57%
Pro / Other

NCAAe Rankings

#9997
Forward overall
#419
Forward born in 2000

D1 Comparables

Ben Storm
USHL · 2012-13 · 0.23 PPG
→ St. Cloud State (0.03 D1 FR PPG)
0.14 Developing
NCAAe PPG
Jordan Boucher
USHL · 2012-13 · 0.23 PPG
→ Clarkson (0.28 D1 FR PPG)
0.13 Developing
NCAAe PPG
Brad Hawkinson
USHL · 2012-13 · 0.32 PPG
→ Denver
0.19 No data
NCAAe PPG
Jimmy DeVito
USHL · 2012-13 · 0.35 PPG
→ RPI (0.16 D1 FR PPG)
0.21 Developing
NCAAe PPG
Ryan McMurphy
USHL · 2012-13 · 0.14 PPG
→ Bentley (0.39 D1 FR PPG)
0.08 Average
NCAAe PPG

D2/3 Comparables

Kyle Gierman
Lawrence · 2017-18
0.889 Strong
actual D2/3 PPG
Kevin Pitts
Curry · 2018-19
0.586 Average
actual D2/3 PPG
Christian Day
Skidmore · 2022-23
0.556 Average
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.