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

Stefan Seel Elite Prospects ↗

Position: Forward DOB: 1994-11-14 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
2011-12 Salmon Arm Silverbacks BCHL 3 0 0 0 0.000 — — — —
2012-13 Kindersley Klippers SJHL 50 7 13 20 0.400 0.1025 0.1092 0.3015 0.3212
2013-14 Kindersley Klippers SJHL 54 17 21 38 0.704 0.1803 0.1826 0.5304 0.5372
2014-15 Grande Prairie Storm AJHL 35 7 15 22 0.629 0.2108 0.1990 0.5817 0.5491
■ 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
2018-19 Concordia D3 MIAC SR 20 7 6 13 0.650
2017-18 Concordia D3 MIAC JR 2 2 2 4 2.000
2016-17 Concordia D3 MIAC SO 15 2 12 14 0.933
2015-16 Concordia D3 MIAC FR 26 6 14 20 0.769
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.16
before college
→
Actual FR PPG
0.77
2015-16 · Concordia
+367.0% vs. projection

NCAAe Rankings

#30633
Forward overall
#1174
Forward born in 1994

D1 Comparables

Tyler Deresky
NAHL · 2012-13 · 0.79 PPG
→ Bentley (0.19 D1 FR PPG)
0.28 Developing
NCAAe PPG
Cullen Hurley
USHL · 2012-13 · 0.38 PPG
→ Wisconsin
0.21 No data
NCAAe PPG
Max Birkinbine
USHL · 2012-13 · 0.46 PPG
→ Air Force (0.14 D1 FR PPG)
0.25 Developing
NCAAe PPG
Joseph-Matthew Manno
USHL · 2012-13 · 0.63 PPG
→ Northeastern (0.22 D1 FR PPG)
0.34 Developing
NCAAe PPG
Woody Hudson
USHL · 2012-13 · 0.43 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.23 Developing
NCAAe PPG

D2/3 Comparables

James Nash
Southern New Hampshire · 2018-19
0.652 Strong
actual D2/3 PPG
Brendan Young
SUNY Plattsburgh · 2018-19
0.423 Average
actual D2/3 PPG
Jonathan Grebosky
Concordia · 2013-14
0.769 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.