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

Sam Court Elite Prospects ↗

Position: Defense DOB: 2004-01-07 Country: Canada
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
2020-21 Steinbach Pistons MJHL 7 0 5 5 0.714 0.1375 0.1375 0.4504 0.4504
2021-22 Avon Old Farms NE-Prep 27 4 12 16 0.593 0.1174 0.1174 0.2700 0.2700
2022-23 Brooks Bandits AJHL 52 13 59 72 1.385 0.4644 0.4671 1.2813 1.2888
2023-24 Sioux City Musketeers USHL 62 11 24 35 0.565 0.3330 0.3113 1.6954 1.5847
■ 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 Arizona State D1 NCHC SO 31 1 5 6 0.194
2024-25 Arizona State D1 NCHC — 36 3 8 11 0.306
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.35
before college
→
Actual FR PPG
0.31
2024-25 · Arizona State
-13.4% vs. projection

College Pathway Likelihood (based on 40 comparables)

82%
NCAA D1
0%
NCAA D2/D3
5%
Age-Out / Club
12%
Pro / Other

NCAAe Rankings

#2514
Defenseman overall
#573
Defenseman born in 2004

D1 Comparables

Matt Van Voorhis
USHL · 2012-13 · 0.47 PPG
→ Denver (0.10 D1 FR PPG)
0.26 Developing D
NCAAe PPG
Barrett Kaib
USHL · 2012-13 · 0.57 PPG
→ Providence (0.19 D1 FR PPG)
0.32 Average D
NCAAe PPG
Taylor Fleming
USHL · 2012-13 · 0.48 PPG
→ Western Michigan (0.17 D1 FR PPG)
0.26 Average D
NCAAe PPG
Victor Newell
USHL · 2012-13 · 0.52 PPG
→ Harvard (0.67 D1 FR PPG)
0.29 Elite D
NCAAe PPG
Nolan Valleau
USHL · 2012-13 · 0.41 PPG
→ Bowling Green
0.22 No data
NCAAe PPG

D2/3 Comparables

Beau Moyer
Wisconsin-Superior · 2000-01
0.708 Strong
actual D2/3 PPG
Scott Hudson
Manhattanville · 2007-08
1.231 Elite
actual D2/3 PPG
Coby Downs
Norwich · 2016-17
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.