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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 0.1896 0.1896 — —
2021-22 Fargo Force USHL 62 4 17 21 0.339 0.1998 0.1994 1.0173 1.0153
■ 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
0.19
before college
→
Actual FR PPG
0.40
2022-23 · RPI
+112.5% vs. projection

College Pathway Likelihood (based on 40 comparables)

80%
NCAA D1
0%
NCAA D2/D3
10%
Age-Out / Club
10%
Pro / Other

NCAAe Rankings

#6416
Defenseman overall
#1540
Defenseman born in 2003
#2599
in USHL

D1 Comparables

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

D2/3 Comparables

Jake McManus
Williams · 2023-24
0.750 Strong
actual D2/3 PPG
Graham Harris
Augsburg · 2020-21
0.880 Strong
actual D2/3 PPG
Hayden Johnson
Lawrence · 2021-22
0.364 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.