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Grayden Siepmann Elite Prospects ↗

Position: Defense DOB: 2004-05-26 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 Calgary Hitmen WHL 21 0 2 2 0.095 0.0463 0.0463 0.2333 0.2333
2021-22 Calgary Hitmen WHL 66 9 16 25 0.379 0.1843 0.1931 0.9282 0.9724
2022-23 Calgary Hitmen WHL 61 9 34 43 0.705 0.3429 0.3432 1.7272 1.7289
2023-24 Saskatoon Blades WHL 56 0 17 17 0.304 0.1477 0.1406 0.7439 0.7080
2024-25 Saskatoon Blades WHL 68 10 38 48 0.706 0.3434 0.3085 1.7297 1.5538
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 Duluth D1 NCHC FR 36 6 13 19 0.528
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.23
before college
Actual FR PPG
0.53
2025-26 · Minnesota Duluth
+131.7% vs. projection

College Pathway Likelihood (based on 40 comparables)

35%
NCAA D1
0%
NCAA D2/D3
60%
Age-Out / Club
5%
Pro / Other

NCAAe Rankings

#3493
Defenseman overall
#880
Defenseman born in 2004
#664
in WHL

D1 Comparables

USHL · 2012-13 · 0.33 PPG
→ American International (0.12 D1 FR PPG)
0.18 Developing D
NCAAe PPG
QMJHL · 2012-13 · 0.37 PPG
→ Brown (0.04 D1 FR PPG)
0.16 Developing D
NCAAe PPG
USHL · 2012-13 · 0.45 PPG
→ Ohio State (0.50 D1 FR PPG)
0.24 Elite D
NCAAe PPG
USHL · 2012-13 · 0.79 PPG
→ North Dakota (0.51 D1 FR PPG)
0.43 Elite D
NCAAe PPG
USHL · 2012-13 · 0.41 PPG
→ Bowling Green
0.22 No data
NCAAe PPG

D2/3 Comparables

Adrian · 2018-19
1.103 Elite
actual D2/3 PPG
SUNY Geneseo · 2015-16
1.296 Elite
actual D2/3 PPG
SUNY Oswego · 2004-05
0.926 Strong
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.