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Will Distad Elite Prospects ↗

Position: Defense DOB: 2007-01-12 Country: USA
Minnesota State
CCHA 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 White Bear Lake USHS-MN 26 3 8 11 0.423 0.0536 0.0536 0.1027 0.1027
2023-24 White Bear Lake USHS-MN 30 7 21 28 0.933 0.1182 0.1182 — —
2024-25 Austin Bruins NAHL 18 0 2 2 0.111 0.0408 0.0440 0.1174 0.1266
2025-26 Coquitlam Express BCHL 48 3 13 16 0.333 0.1284 0.1315 0.4848 0.4966
2026-27 Muskegon Lumberjacks USHL 6 0 1 1 0.167 0.0983 0.0983 0.5002 0.5002
■ Blue = NCAAe (D1 anchor)   ■ Green = D3e (D3 anchor)   COVID-flagged seasons highlighted in yellow

College Pathway Likelihood (based on 40 comparables)

35%
NCAA D1
18%
NCAA D2/D3
30%
Age-Out / Club
18%
Pro / Other

NCAAe Rankings

#14374
Defenseman overall
#1900
Defenseman born in 2007

D1 Comparables

USHL · 2012-13 · 0.14 PPG
→ Providence (0.15 D1 FR PPG)
0.08 Average D
NCAAe PPG
OHL · 2012-13 · 0.11 PPG
→ Southern Maine (0.17 D1 FR PPG)
0.06 Average D
NCAAe PPG
OHL · 2012-13 · 0.29 PPG
→ Brown
0.15 No data
NCAAe PPG
USHL · 2012-13 · 0.22 PPG
→ Quinnipiac (0.05 D1 FR PPG)
0.12 Developing D
NCAAe PPG
USHL · 2012-13 · 0.20 PPG
→ Alabama-Huntsville (0.38 D1 FR PPG)
0.11 Strong D
NCAAe PPG

Minnesota State Alumni similar profiles who attended this school

BCHL 2012-13
0.00
actual FR PPG at Minnesota State
USHS-MN 2021-22
0.03
actual FR PPG at Minnesota State
USHL 2016-17
0.26
actual FR PPG at Minnesota State
NAHL 2023-24
0.13
actual FR PPG at Minnesota State

D2/3 Comparables

Worcester State · 2016-17
0.611 Average
actual D2/3 PPG
Middlebury · 2014-15
0.500 Average
actual D2/3 PPG
Albertus Magnus · 2018-19
0.000 No data
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.