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Steven Sleep Elite Prospects ↗

Position: Forward DOB: 1984-01-23 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
2002-03 Selkirk Steelers MJHL 61 20 50 70 1.147 0.2209 0.2226 0.7236 0.7293
2003-04 Selkirk Steelers MJHL 60 22 50 72 1.200 0.2310 0.2221 0.7567 0.7274
2004-05 Selkirk Steelers MJHL 53 24 48 72 1.359 0.2615 0.2390 0.8567 0.7830
■ 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 St. Norbert D3 NCHA SR 27 2 11 13 0.481
2007-08 St. Norbert D3 NCHA JR 32 7 16 23 0.719
2006-07 St. Norbert D3 NCHA SO 31 11 16 27 0.871
2005-06 St. Norbert D3 NCHA FR 31 6 10 16 0.516
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.20
before college
→
Actual FR PPG
0.52
2005-06 · St. Norbert
+159.6% vs. projection

NCAAe Rankings

#12636
Forward overall
#388
Forward born in 1984
#51
in MJHL

D1 Comparables

Will Suter
USHL · 2012-13 · 0.47 PPG
→ Bentley (0.10 D1 FR PPG)
0.25 Developing
NCAAe PPG
Yasin Cissé
QMJHL · 2012-13 · 0.52 PPG
→ Boston University
0.23 No data
NCAAe PPG
Ali Thomas
USHL · 2012-13 · 0.34 PPG
→ Notre Dame (0.18 D1 FR PPG)
0.18 Developing
NCAAe PPG
David Goodwin
USHL · 2012-13 · 0.67 PPG
→ Penn State (0.53 D1 FR PPG)
0.35 Average
NCAAe PPG
Dylan Walchuk
WHL · 2012-13 · 0.86 PPG
→ Northern Michigan (0.42 D1 FR PPG)
0.37 Average
NCAAe PPG

D2/3 Comparables

Caden Pendo
Chatham · 2024-25
1.037 Elite
actual D2/3 PPG
Nick Zappia
SUNY Cortland · 2010-11
0.640 Average
actual D2/3 PPG
Chase Nieuwendyk
SUNY Brockport · 2011-12
0.667 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.