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Alex Pharand Elite Prospects ↗

Position: Forward DOB: 2005-01-05 Country: Canada
2023 · Round 4, Pick #99  ·  Chicago Blackhawks Chicago Blackhawks
Clarkson
ECAC D1

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
2021-22 — OHL 56 6 8 14 0.250 0.1446 0.1555 0.6546 0.7039
2022-23 Sudbury Wolves OHL 67 18 21 39 0.582 0.3367 0.3475 1.5242 1.5730
2023-24 Sudbury Wolves OHL 68 17 13 30 0.441 0.2552 0.2512 1.1552 1.1369
2024-25 Sudbury Wolves OHL 65 17 42 59 0.908 0.5251 0.4897 2.3767 2.2165
2025-26 Windsor Spitfires OHL 67 16 26 42 0.627 0.3627 0.3200 1.6415 1.4483
■ Blue = NCAAe (D1 anchor)   ■ Green = D3e (D3 anchor)   COVID-flagged seasons highlighted in yellow

College Pathway Likelihood (based on 40 comparables)

22%
NCAA D1
5%
NCAA D2/D3
35%
Age-Out / Club
38%
Pro / Other

NCAAe Rankings

#9882
Forward overall
#411
Forward born in 2005
#497
in OHL

D1 Comparables

Dylan Walchuk
WHL · 2012-13 · 0.86 PPG
→ Northern Michigan (0.42 D1 FR PPG)
0.37 Average
NCAAe PPG
Will Suter
USHL · 2012-13 · 0.47 PPG
→ Bentley (0.10 D1 FR PPG)
0.25 Developing
NCAAe PPG
David Goodwin
USHL · 2012-13 · 0.67 PPG
→ Penn State (0.53 D1 FR PPG)
0.35 Average
NCAAe PPG
Yasin Cissé
QMJHL · 2012-13 · 0.52 PPG
→ Boston University
0.23 No data
NCAAe PPG
Carlos Amestoy
OHL · 2012-13 · 0.75 PPG
→ Maine
0.39 No data
NCAAe PPG

Clarkson Alumni similar profiles who attended this school

Perry D'Arrisso
NAHL 2012-13
0.14
actual FR PPG at Clarkson
Daimon Gardner
USHS-MN 2021-22
0.21
actual FR PPG at Clarkson
Jared Mangan
NE-Prep 2020-21
0.29
actual FR PPG at Clarkson
Mitch Zion
CCHL 2012-13
0.08
actual FR PPG at Clarkson

D2/3 Comparables

Devin Panzeca
SUNY Potsdam · 2017-18
0.667 Strong
actual D2/3 PPG
A.J. Tucker
St. Scholastica · 2004-05
1.111 Elite
actual D2/3 PPG
Connor Inger
New England College · 2017-18
0.692 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.