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Joe Palodichuk Elite Prospects ↗

Position: Defense DOB: 2003-02-26 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 Hill-Murray USHS-MN 30 4 35 39 1.300 0.3500 0.3500 0.3158 0.3158
2020-21 Bismarck Bobcats NAHL 20 0 5 5 0.250 0.0990 0.0990 0.2625 0.2625
2021-22 Fargo Force USHL 53 6 19 25 0.472 0.2900 0.2880 1.3897 1.3803
2022-23 Fargo Force USHL 44 8 21 29 0.659 0.4051 0.3813 1.9418 1.8277
■ 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 Wisconsin D1 BigTen JR 36 3 15 18 0.500
2024-25 Wisconsin D1 BigTen — 25 1 3 4 0.160
2023-24 Wisconsin D1 BigTen — 40 3 15 18 0.450
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.32
before college
→
Actual FR PPG
0.45
2023-24 · Wisconsin
+38.6% vs. projection

College Pathway Likelihood (based on 40 comparables)

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

NCAAe Rankings

#3087
Defenseman overall
#784
Defenseman born in 2003

D1 Comparables

Barrett Kaib
USHL · 2012-13 · 0.57 PPG
→ Providence (0.19 D1 FR PPG)
0.33 Average D
NCAAe PPG
Victor Newell
USHL · 2012-13 · 0.52 PPG
→ Harvard (0.67 D1 FR PPG)
0.30 Elite D
NCAAe PPG
Connor Murphy
OHL · 2012-13 · 0.55 PPG
→ Cornell (0.20 D1 FR PPG)
0.30 Average D
NCAAe PPG
Taylor Fleming
USHL · 2012-13 · 0.48 PPG
→ Western Michigan (0.17 D1 FR PPG)
0.27 Average D
NCAAe PPG
Matt Van Voorhis
USHL · 2012-13 · 0.47 PPG
→ Denver (0.10 D1 FR PPG)
0.27 Developing D
NCAAe PPG

D2/3 Comparables

Nicolas Pigeon
Wisconsin-Stout · 2022-23
1.000 Elite
actual D2/3 PPG
Michael Padgeon
Anna Maria · 2018-19
0.706 Strong
actual D2/3 PPG
Travis Janke
Norwich · 2009-10
1.258 Elite
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.