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Max Rider Elite Prospects ↗

Position: Forward DOB: 2007-06-21 Country: USA
Western Michigan
NCHC D1

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
2022-23 St. Louis Park USHS-MN 25 14 9 23 0.920 0.1165 0.1165 0.2235 0.2235
2023-24 St. Louis Park USHS-MN 26 19 28 47 1.808 0.2289 0.2289 0.4391 0.4391
2024-25 Madison Capitols USHL 35 4 5 9 0.257 0.1517 0.1602 0.7722 0.8157
2025-26 Madison Capitols USHL 58 16 17 33 0.569 0.3357 0.3384 1.7089 1.7226
■ Blue = NCAAe (D1 anchor)   ■ Green = D3e (D3 anchor)   COVID-flagged seasons highlighted in yellow

College Pathway Likelihood (based on 40 comparables)

88%
NCAA D1
0%
NCAA D2/D3
2%
Age-Out / Club
10%
Pro / Other

NCAAe Rankings

#14371
Forward overall
#399
Forward born in 2007

D1 Comparables

Jake Montgomery
USHL · 2012-13 · 0.57 PPG
→ Nebraska Omaha
0.34 No data
NCAAe PPG
Dylan Steman
USHL · 2012-13 · 0.55 PPG
→ Michigan Tech (0.49 D1 FR PPG)
0.33 Average
NCAAe PPG
Grant Besse
USHL · 2012-13 · 0.57 PPG
→ Wisconsin (0.39 D1 FR PPG)
0.34 Average
NCAAe PPG
Jarrid Privitera
USHL · 2012-13 · 0.46 PPG
→ Vermont (0.33 D1 FR PPG)
0.28 Developing
NCAAe PPG
Justin Greenberg
NAHL · 2012-13 · 0.95 PPG
→ Miami (0.24 D1 FR PPG)
0.37 Developing
NCAAe PPG

Western Michigan Alumni similar profiles who attended this school

Alex Bump
USHS-MN 2021-22
0.95
actual FR PPG at Western Michigan
Jason Polin
USHL 2017-18
0.29
actual FR PPG at Western Michigan
Ty Henricks
USHL 2023-24
0.32
actual FR PPG at Western Michigan
Tyler MacKenzie
WHL 2022-23
0.21
actual FR PPG at Western Michigan

D2/3 Comparables

Colin Bella
Lake Forest · 2021-22
0.963 Strong
actual D2/3 PPG
Cole Hepler
Lebanon Valley · 2014-15
1.280 Elite
actual D2/3 PPG
Jason Yuel
Curry · 2005-06
1.769 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.