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Steve Sankey Elite Prospects ↗

Position: Defense DOB: 1983-04-06 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 Coquitlam Express BCHL 56 2 13 15 0.268 0.1032 0.1038 0.3899 0.3921
2002-03 — BCHL 55 4 22 26 0.473 0.1821 0.1752 0.6879 0.6620
2003-04 Merritt Centennials BCHL 60 6 28 34 0.567 0.2183 0.2004 0.8247 0.7570
■ 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
2007-08 SUNY Geneseo D3 SUNYAC SR 24 1 5 6 0.250
2006-07 SUNY Geneseo D3 SUNYAC JR 26 4 11 15 0.577
2005-06 SUNY Geneseo D3 SUNYAC SO 28 3 11 14 0.500
2004-05 SUNY Geneseo D3 SUNYAC FR 29 4 7 11 0.379
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.18
before college
→
Actual FR PPG
0.38
2004-05 · SUNY Geneseo
+111.1% vs. projection

NCAAe Rankings

#8601
Defenseman overall
#914
Defenseman born in 1983
#1821
in BCHL

D1 Comparables

Marc-Antoine Carrier
QMJHL · 2012-13 · 0.37 PPG
→ Brown (0.04 D1 FR PPG)
0.16 Developing D
NCAAe PPG
Dominic Racobaldo
USHL · 2012-13 · 0.33 PPG
→ American International (0.12 D1 FR PPG)
0.18 Developing D
NCAAe PPG
Brandon Carlson
USHL · 2012-13 · 0.24 PPG
→ Alabama-Huntsville (0.11 D1 FR PPG)
0.13 Developing D
NCAAe PPG
Michael Holland
USHL · 2012-13 · 0.18 PPG
→ RIT (0.05 D1 FR PPG)
0.09 Developing D
NCAAe PPG
Matt Krug
USHL · 2012-13 · 0.21 PPG
→ Union (0.11 D1 FR PPG)
0.11 Developing D
NCAAe PPG

D2/3 Comparables

Roman Gaudet
SUNY Morrisville · 2016-17
0.000 No data
actual D2/3 PPG
Gordon Bell
SUNY Potsdam · 2000-01
0.800 Strong
actual D2/3 PPG
Alex Laplante
New England College · 2018-19
0.704 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.