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John Druskinis Elite Prospects ↗

Position: Defense DOB: 2002-04-10 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
2019-20 Muskegon Lumberjacks USHL 23 0 4 4 0.174 0.1026 0.1026 0.5223 0.5223
2020-21 Muskegon Lumberjacks USHL 32 1 2 3 0.094 0.0553 0.0553 0.2817 0.2817
2021-22 Tri-City Storm USHL 53 3 5 8 0.151 0.0890 0.0845 0.4532 0.4302
■ 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 Lake Superior State D1 CCHA — 34 3 8 11 0.324
2024-25 Lake Superior State D1 CCHA — 36 4 7 11 0.306
2022-23 Michigan D1 BigTen — 8 0 2 2 0.250
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.08
before college
→
Actual FR PPG
0.25
2022-23 · Michigan
+213.3% vs. projection

College Pathway Likelihood (based on 40 comparables)

48%
NCAA D1
8%
NCAA D2/D3
35%
Age-Out / Club
10%
Pro / Other

NCAAe Rankings

#19627
Defenseman overall
#3243
Defenseman born in 2002
#3950
in USHL

D1 Comparables

Cameron McDonald
QMJHL · 2012-13 · 0.11 PPG
→ Providence (0.18 D1 FR PPG)
0.05 Average D
NCAAe PPG
Aleksi Rossi
USHL · 2012-13 · 0.15 PPG
→ Brown
0.08 No data
NCAAe PPG
Johnny Hrabovsky
USHL · 2012-13 · 0.24 PPG
→ Air Force (0.26 D1 FR PPG)
0.13 Average D
NCAAe PPG
Dan Molenaar
USHL · 2012-13 · 0.24 PPG
→ Minnesota Duluth (0.18 D1 FR PPG)
0.13 Average D
NCAAe PPG
Vinny Muto
USHL · 2012-13 · 0.29 PPG
→ Niagara (0.51 D1 FR PPG)
0.16 Elite D
NCAAe PPG

D2/3 Comparables

Alex Ochterbeck
Curry · 2016-17
0.654 Strong
actual D2/3 PPG
Josh Adkins
Concordia · 2014-15
0.640 Average
actual D2/3 PPG
Jared Christy
University of New England · 2017-18
0.632 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.