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Max Smolinski Elite Prospects ↗

Position: Defense DOB: 2003-04-02 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 Tri-City Storm USHL 3 0 0 0 0.000 — — — —
2020-21 Johnstown Tomahawks NAHL 31 1 15 16 0.516 0.2045 0.2045 — —
2021-22 Fargo Force USHL 62 4 17 21 0.339 0.2082 0.2078 0.9979 0.9959
■ 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 St. Cloud State D1 NCHC SR 36 6 12 18 0.500
2024-25 RPI D1 ECAC JR 35 5 10 15 0.429
2023-24 RPI D1 ECAC SO 37 2 11 13 0.351
2022-23 RPI D1 ECAC FR 35 3 11 14 0.400
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.20
before college
→
Actual FR PPG
0.40
2022-23 · RPI
+103.9% vs. projection

College Pathway Likelihood (based on 40 comparables)

75%
NCAA D1
2%
NCAA D2/D3
12%
Age-Out / Club
10%
Pro / Other

NCAAe Rankings

#6271
Defenseman overall
#1542
Defenseman born in 2003
#2627
in USHL

D1 Comparables

Clay Anderson
USHL · 2012-13 · 0.38 PPG
→ Harvard (0.21 D1 FR PPG)
0.23 Average D
NCAAe PPG
Tim Davison
USHL · 2012-13 · 0.23 PPG
→ Wisconsin
0.14 No data
NCAAe PPG
Jeff Taylor
USHL · 2012-13 · 0.47 PPG
→ Union (0.39 D1 FR PPG)
0.29 Strong D
NCAAe PPG
Zach Frye
USHL · 2012-13 · 0.19 PPG
→ Alaska Fairbanks (0.28 D1 FR PPG)
0.12 Average D
NCAAe PPG
Garret Cockerill
USHL · 2012-13 · 0.26 PPG
→ Northeastern (0.41 D1 FR PPG)
0.16 Strong D
NCAAe PPG

D2/3 Comparables

Elliott Altberg
Hamilton · 2000-01
0.960 Strong
actual D2/3 PPG
Arlen Marshall
Manhattanville · 2003-04
0.840 Strong
actual D2/3 PPG
James Pelton
UMass Dartmouth · 2015-16
0.615 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.