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Max Burkholder Elite Prospects ↗

Position: Defense DOB: 2003-08-08 Country: USA
No commitment set

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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 Chaska USHS-MN 28 7 16 23 0.821 0.2211 0.2211 0.1995 0.1995
2020-21 Dubuque Fighting Saints USHL 42 2 2 4 0.095 0.0585 0.0585 0.2805 0.2805
2021-22 Dubuque Fighting Saints USHL 61 9 14 23 0.377 0.2317 0.2353 1.1107 1.1280
2022-23 Dubuque Fighting Saints USHL 62 17 34 51 0.823 0.5057 0.4873 2.4235 2.3352
■ 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 Colorado College D1 NCHC SR 4 0 0 0 0.000
2024-25 Colorado College D1 NCHC JR 37 6 20 26 0.703
2023-24 Colorado College D1 NCHC SO 37 7 9 16 0.432
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.36
before college
→
Actual FR PPG
0.43
2023-24 · Colorado College
+18.5% vs. projection

College Pathway Likelihood (based on 40 comparables)

82%
NCAA D1
2%
NCAA D2/D3
5%
Age-Out / Club
10%
Pro / Other

NCAAe Rankings

#2747
Defenseman overall
#690
Defenseman born in 2003

D1 Comparables

Ryan Murray
WHL · 2012-13 · 0.74 PPG
→ Hamline (0.28 D1 FR PPG)
0.35 Average D
NCAAe PPG
Ryan Lowney
USHL · 2012-13 · 0.65 PPG
→ Ferris State (0.35 D1 FR PPG)
0.39 Strong D
NCAAe PPG
Matias Cleland
USHL · 2012-13 · 0.62 PPG
→ New Hampshire (0.10 D1 FR PPG)
0.37 Developing D
NCAAe PPG
Gavin Bayreuther
USHL · 2012-13 · 0.55 PPG
→ St. Lawrence (0.95 D1 FR PPG)
0.34 Elite D
NCAAe PPG
Paul LaDue
USHL · 2012-13 · 0.79 PPG
→ North Dakota (0.51 D1 FR PPG)
0.44 Elite D
NCAAe PPG

D2/3 Comparables

Donny Flynn
Wilkes · 2016-17
1.423 Elite
actual D2/3 PPG
Joseph Fiorino
Southern New Hampshire · 2016-17
0.593 Average
actual D2/3 PPG
Nick Ford
Elmira · 2014-15
0.800 Strong
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.