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Jonathan Stein Elite Prospects ↗

Position: Forward DOB: 1999-03-05 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
2016-17 Merritt Centennials BCHL 1 0 0 0 0.000 — — — —
2017-18 Cowichan Valley Capitals BCHL 42 7 8 15 0.357 0.1376 0.1401 0.5197 0.5291
2018-19 Nanaimo Clippers BCHL 55 7 17 24 0.436 0.1681 0.1621 0.6351 0.6123
2019-20 Langley Rivermen BCHL 46 10 8 18 0.391 0.1508 0.1508 0.5695 0.5695
■ 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
2021-22 Albertus Magnus D3 UCHC — 22 13 14 27 1.227
2020-21 Albertus Magnus D1 UCHC FR 2 1 0 1 0.500
2020-21 Albertus Magnus D3 UCHC — 3 2 0 2 0.667
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.13
before college
→
Actual FR PPG
0.50
2020-21 · Albertus Magnus
+281.1% vs. projection

College Pathway Likelihood (based on 40 comparables)

35%
NCAA D1
0%
NCAA D2/D3
35%
Age-Out / Club
30%
Pro / Other

NCAAe Rankings

#37161
Forward overall
#2045
Forward born in 1999
#2096
in BCHL

D1 Comparables

Tayler Munson
USHL · 2012-13 · 0.31 PPG
→ Alaska Fairbanks (0.35 D1 FR PPG)
0.17 Average
NCAAe PPG
Stanislav Dzakhov
USHL · 2012-13 · 0.27 PPG
→ Niagara (0.44 D1 FR PPG)
0.15 Average
NCAAe PPG
Alexander Dahl
USHL · 2012-13 · 0.38 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.21 Developing
NCAAe PPG
Ben Ostlie
USHL · 2012-13 · 0.23 PPG
→ Notre Dame
0.13 No data
NCAAe PPG
Gage Hough
USHL · 2012-13 · 0.39 PPG
→ UMass Lowell (0.12 D1 FR PPG)
0.22 Developing
NCAAe PPG

D2/3 Comparables

Matt Kroska
St. Olaf · 2012-13
0.375 Average
actual D2/3 PPG
Will Soloway
Colby · 2022-23
0.750 Strong
actual D2/3 PPG
Austin Bottrell
Adrian · 2016-17
0.591 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.