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Axel Begley Elite Prospects ↗

Position: Defense DOB: 2003-12-16 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 31 1 14 15 0.484 0.1303 0.1303 0.1175 0.1175
2020-21 Hill-Murray USHS-MN 20 4 12 16 0.800 0.2154 0.2154 0.1943 0.1943
2021-22 Minnesota Magicians NAHL 28 1 3 4 0.143 0.0566 0.0608 0.1500 0.1611
2022-23 Wisconsin Windigo NAHL 56 9 28 37 0.661 0.2618 0.2683 0.6937 0.7110
■ 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 Minnesota D1 BigTen JR 26 1 0 1 0.038
2024-25 Minnesota D1 BigTen — 15 0 0 0 0.000
2023-24 Minnesota D1 BigTen — 14 0 0 0 0.000

College Pathway Likelihood (based on 40 comparables)

42%
NCAA D1
2%
NCAA D2/D3
18%
Age-Out / Club
38%
Pro / Other

NCAAe Rankings

#6425
Defenseman overall
#1571
Defenseman born in 2003

D1 Comparables

Nelson Armstrong
OHL · 2012-13 · 0.52 PPG
→ St. Lawrence (0.19 D1 FR PPG)
0.30 Average D
NCAAe PPG
Dakota Mermis
OHL · 2012-13 · 0.41 PPG
→ Denver (0.21 D1 FR PPG)
0.23 Average D
NCAAe PPG
Nolan Gluchowski
USHL · 2012-13 · 0.40 PPG
→ St. Lawrence (0.55 D1 FR PPG)
0.24 Elite D
NCAAe PPG
Vince Pedrie
USHL · 2012-13 · 0.32 PPG
→ Penn State (0.69 D1 FR PPG)
0.19 Elite D
NCAAe PPG
Eric Schurhamer
USHL · 2012-13 · 0.24 PPG
→ Maine (0.37 D1 FR PPG)
0.15 Strong D
NCAAe PPG

D2/3 Comparables

Patrick Jobb
SUNY Plattsburgh · 2007-08
0.556 Average
actual D2/3 PPG
Matt Stengl
St. Scholastica · 2004-05
0.826 Strong
actual D2/3 PPG
Anthony McIntyre
Manhattanville · 2005-06
1.000 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.