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Max Nagel Elite Prospects ↗

Position: Forward DOB: 2004-06-30 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 St. Thomas Academy USHS-MN 31 3 8 11 0.355 0.0449 0.0449 0.0862 0.0862
2021-22 St. Thomas Academy USHS-MN 21 0 0 0 0.000 — — — —
2022-23 Madison Capitols USHL 62 9 16 25 0.403 0.2378 0.2398 1.2110 1.2211
2023-24 Madison Capitols USHL 59 20 25 45 0.763 0.4499 0.4313 2.2907 2.1960
■ 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 Colgate D1 ECAC SO 27 11 15 26 0.963
2024-25 Colgate D1 ECAC — 36 6 18 24 0.667
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.30
before college
→
Actual FR PPG
0.67
2024-25 · Colgate
+119.6% vs. projection

College Pathway Likelihood (based on 40 comparables)

85%
NCAA D1
2%
NCAA D2/D3
8%
Age-Out / Club
5%
Pro / Other

NCAAe Rankings

#16856
Forward overall
#826
Forward born in 2004

D1 Comparables

Brett Skibba
NAHL · 2012-13 · 1.00 PPG
→ UConn (0.23 D1 FR PPG)
0.36 Developing
NCAAe PPG
Riley Bourbonnais
USHL · 2012-13 · 0.78 PPG
→ RPI (0.11 D1 FR PPG)
0.44 Developing
NCAAe PPG
John Simonson
NAHL · 2012-13 · 0.97 PPG
→ North Dakota (0.23 D1 FR PPG)
0.35 Developing
NCAAe PPG
Jay Dickman
NAHL · 2012-13 · 1.00 PPG
→ Bemidji State
0.36 No data
NCAAe PPG
Garret Clemment
NAHL · 2012-13 · 0.93 PPG
→ Lake Superior State (0.43 D1 FR PPG)
0.34 Average
NCAAe PPG

D2/3 Comparables

Brandon Osmundson
Utica · 2017-18
1.448 Elite
actual D2/3 PPG
Cole Hepler
Lebanon Valley · 2015-16
1.280 Elite
actual D2/3 PPG
Jon Whitelaw
SUNY Oswego · 2008-09
1.357 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.