IcePath icepath.io · Hockey Analytics
← New Search ↗ Social Card

Matt Sherban Elite Prospects ↗

Position: Forward DOB: 1984-05-17 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
2000-01 Oshawa Legionaires OJHL 48 8 11 19 0.396 0.0970 0.1048 0.2725 0.2944
2001-02 Oshawa Legionaires OJHL 46 20 21 41 0.891 0.2185 0.2248 0.6137 0.6313
2002-03 Oshawa Legionaires OJHL 49 30 21 51 1.041 0.2551 0.2519 0.7166 0.7075
2003-04 Oshawa Legionaires OJHL 30 15 16 31 1.033 0.2533 0.2387 0.7114 0.6704
■ 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 NESCAC SO 16 5 4 9 0.562
2004-05 Hamilton D3 NESCAC FR 13 2 1 3 0.231
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.21
before college
→
Actual FR PPG
0.23
2004-05 · Hamilton
+10.5% vs. projection

NCAAe Rankings

#15997
Forward overall
#493
Forward born in 1984
#534
in OJHL

D1 Comparables

Tanner Pond
USHL · 2012-13 · 0.39 PPG
→ Northeastern (0.11 D1 FR PPG)
0.22 Developing
NCAAe PPG
Tommy Schutt
USHL · 2012-13 · 0.37 PPG
→ Quinnipiac (0.28 D1 FR PPG)
0.21 Developing
NCAAe PPG
Alfred Larsson
USHL · 2012-13 · 0.39 PPG
→ Merrimack (0.20 D1 FR PPG)
0.22 Developing
NCAAe PPG
Luc Gerdes
NAHL · 2012-13 · 0.80 PPG
→ Colorado College (0.25 D1 FR PPG)
0.29 Developing
NCAAe PPG
Matt Pohlkamp
USHL · 2012-13 · 0.33 PPG
→ Bowling Green (0.41 D1 FR PPG)
0.19 Average
NCAAe PPG

D2/3 Comparables

Austin Marini
Southern Maine · 2018-19
0.000 No data
actual D2/3 PPG
Jesper Seeberg
Westfield State · 2022-23
0.478 Average
actual D2/3 PPG
D'Arcy Oakes
Elmira · 2007-08
0.542 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.