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Steve Cornelissen Elite Prospects ↗

Position: Defense DOB: 1986-03-27 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
2001-02 Bowmanville Eagles OJHL 8 0 2 2 0.250 0.0751 0.0842 0.1711 0.1919
2002-03 Bowmanville Eagles OJHL 47 5 9 14 0.298 0.0895 0.0967 0.2039 0.2203
2003-04 Bowmanville Eagles OJHL 42 3 7 10 0.238 0.0715 0.0740 0.1630 0.1688
2004-05 Bowmanville Eagles OJHL 45 1 9 10 0.222 0.0667 0.0657 0.1521 0.1498
2005-06 Bowmanville Eagles OJHL 48 7 32 39 0.812 0.2441 0.2314 0.5562 0.5273
■ 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
2008-09 SUNY Potsdam D3 — JR 23 3 5 8 0.348
2007-08 SUNY Potsdam D3 — SO 26 0 4 4 0.154
2006-07 SUNY Potsdam D3 — FR 23 2 8 10 0.435
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.16
before college
→
Actual FR PPG
0.43
2006-07 · SUNY Potsdam
+178.9% vs. projection

NCAAe Rankings

#10810
Defenseman overall
#1164
Defenseman born in 1986
#2710
in OJHL

D1 Comparables

Victor Björkung
USHL · 2012-13 · 0.37 PPG
→ Ohio State (0.18 D1 FR PPG)
0.21 Average D
NCAAe PPG
Jared Kolquist
USHL · 2012-13 · 0.47 PPG
→ Merrimack (0.14 D1 FR PPG)
0.28 Developing D
NCAAe PPG
Connor Murphy
OHL · 2012-13 · 0.55 PPG
→ Cornell (0.20 D1 FR PPG)
0.30 Average D
NCAAe PPG
Vinny Muto
USHL · 2012-13 · 0.29 PPG
→ Niagara (0.51 D1 FR PPG)
0.17 Elite D
NCAAe PPG
Max Everson
USHL · 2012-13 · 0.31 PPG
→ Harvard (0.12 D1 FR PPG)
0.18 Developing D
NCAAe PPG

D2/3 Comparables

Tim Kielich
SUNY Brockport · 2013-14
1.192 Elite
actual D2/3 PPG
Edward Griffin
Wentworth · 2016-17
0.000 No data
actual D2/3 PPG
Kevin Michelcavage
Concordia (WI) · 2010-11
0.480 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.