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Adam Rajsigl Elite Prospects ↗

Position: Defense DOB: 2002-12-17 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
2018-19 Kirkland Lake Gold Miners NOJHL 1 0 0 0 0.000 — — — —
2019-20 Hearst Lumberjacks NOJHL 49 1 5 6 0.122 0.0174 0.0174 0.0508 0.0508
2020-21 Hearst Lumberjacks NOJHL 12 0 4 4 0.333 0.0475 0.0475 0.1383 0.1383
2021-22 Swan Valley Stampeders MJHL 53 9 27 36 0.679 0.1307 0.1318 0.4280 0.4315
2022-23 Swan Valley Stampeders MJHL 53 13 39 52 0.981 0.1889 0.1816 0.6183 0.5944
■ 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 Wisconsin-Stevens Point D3 WIAC JR 18 0 2 2 0.111
2024-25 Wisconsin-Stevens Point D3 WIAC SO 9 1 1 2 0.222
2023-24 Wisconsin-Stevens Point D3 WIAC FR 10 1 0 1 0.100
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.15
before college
→
Actual FR PPG
0.10
2023-24 · Wisconsin-Stevens Point
-34.5% vs. projection

College Pathway Likelihood (based on 40 comparables)

38%
NCAA D1
10%
NCAA D2/D3
45%
Age-Out / Club
8%
Pro / Other

NCAAe Rankings

#6766
Defenseman overall
#1653
Defenseman born in 2002

D1 Comparables

Brandon Kirk
USHL · 2012-13 · 0.32 PPG
→ Dartmouth
0.17 No data
NCAAe PPG
Taki Pantziris
OHL · 2012-13 · 0.29 PPG
→ Brown
0.15 No data
NCAAe PPG
Nolan Valleau
USHL · 2012-13 · 0.41 PPG
→ Bowling Green
0.22 No data
NCAAe PPG
Patrick Koudys
USHL · 2012-13 · 0.23 PPG
→ RPI (0.10 D1 FR PPG)
0.13 Developing D
NCAAe PPG
Matt Van Voorhis
USHL · 2012-13 · 0.47 PPG
→ Denver (0.10 D1 FR PPG)
0.26 Developing D
NCAAe PPG

D2/3 Comparables

Bradley Tierney
Milwaukee School of Engineering · 2008-09
0.963 Strong
actual D2/3 PPG
Hunter Stewart
Marian · 2013-14
0.741 Strong
actual D2/3 PPG
Austin Dollimer
Augsburg · 2017-18
0.750 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.