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Steve Gervais Elite Prospects ↗

Position: Forward DOB: 1989-01-20 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
2006-07 Smiths Falls Bears CCHL 52 9 15 24 0.462 0.1001 0.1049 0.3571 0.3743
2007-08 Smiths Falls Bears CCHL 59 39 34 73 1.237 0.2684 0.2684 0.9573 0.9574
2008-09 Smiths Falls Bears CCHL 57 29 29 58 1.018 0.2207 0.2078 0.7872 0.7412
■ 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
2012-13 Neumann D3 MAC SR 19 10 5 15 0.789
2011-12 Neumann D3 MAC JR 21 9 5 14 0.667
2010-11 Neumann D3 MAC SO 20 8 11 19 0.950
2009-10 Neumann D3 MAC FR 16 2 8 10 0.625
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.20
before college
→
Actual FR PPG
0.62
2009-10 · Neumann
+214.7% vs. projection

NCAAe Rankings

#15480
Forward overall
#537
Forward born in 1989
#202
in CCHL

D1 Comparables

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
Alexander Dahl
USHL · 2012-13 · 0.38 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.21 Developing
NCAAe PPG
Tayler Munson
USHL · 2012-13 · 0.31 PPG
→ Alaska Fairbanks (0.35 D1 FR PPG)
0.17 Average
NCAAe PPG
Ryan Siiro
USHL · 2012-13 · 0.52 PPG
→ Princeton (0.38 D1 FR PPG)
0.29 Average
NCAAe PPG

D2/3 Comparables

Anthony Ruberto
Hamilton · 2008-09
0.440 Average
actual D2/3 PPG
George Thurston
Southern New Hampshire · 2017-18
0.909 Strong
actual D2/3 PPG
Sean Farley
Utica · 2006-07
0.571 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.