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Matt Sherban Elite Prospects ↗

Position: Forward DOB: 1984-05-17 Country: Canada
No commitment set

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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
2000-01 Oshawa Legionaires OJHL 48 8 11 19 0.396 0.1189 0.1285 0.2709 0.2927
2001-02 Oshawa Legionaires OJHL 46 20 21 41 0.891 0.2677 0.2754 0.6101 0.6276
2002-03 Oshawa Legionaires OJHL 49 30 21 51 1.041 0.3127 0.3087 0.7124 0.7034
2003-04 Oshawa Legionaires OJHL 30 15 16 31 1.033 0.3104 0.2925 0.7073 0.6665
■ 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
2005-06 Hamilton D3 — SO 16 5 4 9 0.562
2004-05 Hamilton D3 — FR 13 2 1 3 0.231
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.26
before college
→
Actual FR PPG
0.23
2004-05 · Hamilton
-9.8% vs. projection

NCAAe Rankings

#15534
Forward overall
#457
Forward born in 1984
#639
in OJHL

D1 Comparables

Brett Skibba
USHL · 2012-13 · 0.50 PPG
→ UConn (0.23 D1 FR PPG)
0.29 Developing
NCAAe PPG
Tanner Pond
USHL · 2012-13 · 0.39 PPG
→ Northeastern (0.11 D1 FR PPG)
0.23 Developing
NCAAe PPG
Alfred Larsson
USHL · 2012-13 · 0.39 PPG
→ Merrimack (0.20 D1 FR PPG)
0.23 Developing
NCAAe PPG
Tommy Schutt
USHL · 2012-13 · 0.37 PPG
→ Quinnipiac (0.28 D1 FR PPG)
0.22 Developing
NCAAe PPG
Evan Janssen
USHL · 2012-13 · 0.45 PPG
→ Denver (0.14 D1 FR PPG)
0.26 Developing
NCAAe PPG

D2/3 Comparables

Mathieu MacMillan
Utica · 2023-24
0.474 Average
actual D2/3 PPG
Ryan Carney
Bowdoin · 2009-10
0.667 Strong
actual D2/3 PPG
Jordan Larkee
Saint John's · 2023-24
0.556 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.