IcePath icepath.io · Hockey Analytics
← New Search ↗ Social Card

William Schneider Elite Prospects ↗

Position: Forward DOB: 2003-10-27 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
2023-24 Boston Jr. Bruins NCDC 34 5 5 10 0.294 0.1199 0.1157 0.2364 0.2282
■ 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 University of Utah ACHA_D1 — — 9 1 1 2 0.222
2024-25 University of Utah ACHA_D1 — — 9 1 1 2 0.222
2023-24 University of Utah ACHA_D1 — — 9 1 1 2 0.222
2022-23 University of Utah ACHA_D1 — — 9 1 1 2 0.222
2021-22 University of Utah ACHA_D1 — — 9 1 1 2 0.222
2020-21 University of Utah ACHA_D1 — — 9 1 1 2 0.222

College Pathway Likelihood (based on 40 comparables)

30%
NCAA D2/D3
2%
Club / ACHA
0%
Other

NCAAe Rankings

#31621
Forward overall
#1881
Forward born in 2003

D1 Comparables

Cullen Hurley
USHL · 2012-13 · 0.38 PPG
→ Wisconsin
0.21 No data
NCAAe PPG
Woody Hudson
USHL · 2012-13 · 0.43 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.23 Developing
NCAAe PPG
Max Birkinbine
USHL · 2012-13 · 0.46 PPG
→ Air Force (0.14 D1 FR PPG)
0.25 Developing
NCAAe PPG
Tayler Munson
USHL · 2012-13 · 0.31 PPG
→ Alaska Fairbanks (0.35 D1 FR PPG)
0.17 Average
NCAAe PPG
Alexander Dahl
USHL · 2012-13 · 0.38 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.21 Developing
NCAAe PPG

D2/3 Comparables

Matthew Taylor
Marian · 2018-19
0.000 No data
actual D2/3 PPG
Brett Meyers
Wisconsin-Superior · 2009-10
0.667 Strong
actual D2/3 PPG
Michael Talbot
St. Scholastica · 2017-18
0.400 Average
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.