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

Hunter Fargey Elite Prospects ↗

Position: Forward DOB: 1995-02-23 Country: Canada
Signed Professionally
Univ. of Toronto · USports-M

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
2013-14 Trenton Golden Hawks OJHL 48 10 19 29 0.604 0.1481 0.1485 0.4160 0.4172
2014-15 Trenton Golden Hawks OJHL 52 15 33 48 0.923 0.2263 0.2152 0.6356 0.6045
2015-16 Trenton Golden Hawks OJHL 41 23 31 54 1.317 0.3228 0.2892 0.9068 0.8124
2019-20 Univ. of Toronto USports-M 5 0 3 3 0.600 0.3166 0.3166 1.7586 1.7586
2020-21 Univ. of Toronto USports-M 0 0 0 0 0.000 — — — —
■ 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
2018-19 Sacred Heart D1 AHA JR 2 0 0 0 0.000
2017-18 Sacred Heart D1 AHA SO 32 0 4 4 0.125
2016-17 Sacred Heart D1 AHA FR 8 0 0 0 0.000

NCAAe Rankings

#15306
Forward overall
#591
Forward born in 1995

D1 Comparables

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
Will Suter
USHL · 2012-13 · 0.47 PPG
→ Bentley (0.10 D1 FR PPG)
0.25 Developing
NCAAe PPG
Dylan Walchuk
WHL · 2012-13 · 0.86 PPG
→ Northern Michigan (0.42 D1 FR PPG)
0.37 Average
NCAAe PPG
Jordan Nelson
USHL · 2012-13 · 0.59 PPG
→ Minnesota State (0.22 D1 FR PPG)
0.31 Developing
NCAAe PPG

D2/3 Comparables

Ricky Carballo
Endicott · 2017-18
0.857 Strong
actual D2/3 PPG
Tyler Bullard
Canton · 2015-16
0.957 Strong
actual D2/3 PPG
Tim Kielich
SUNY Brockport · 2014-15
1.192 Elite
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.