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

Anthony Paskaruk Elite Prospects ↗

Position: Forward DOB: 1994-01-18 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
2010-11 Brooks Bandits AJHL 59 8 21 29 0.491 0.1648 0.1829 0.4547 0.5047
2011-12 Brooks Bandits AJHL 59 10 22 32 0.542 0.1819 0.1927 0.5018 0.5315
2012-13 Brooks Bandits AJHL 56 20 27 47 0.839 0.2815 0.2837 0.7765 0.7826
2013-14 Brooks Bandits AJHL 53 10 29 39 0.736 0.2468 0.2359 0.6808 0.6508
2014-15 Brooks Bandits AJHL 54 20 23 43 0.796 0.2671 0.2411 0.7367 0.6651
■ 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
2017-18 Northern Michigan D1 WCHA JR 27 1 2 3 0.111
2016-17 Northern Michigan D1 WCHA SO 29 0 0 0 0.000
2015-16 Northern Michigan D1 WCHA FR 36 1 4 5 0.139
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.20
before college
→
Actual FR PPG
0.14
2015-16 · Northern Michigan
-32.1% vs. projection

NCAAe Rankings

#20530
Forward overall
#792
Forward born in 1994
#464
in AJHL

D1 Comparables

Will Suter
USHL · 2012-13 · 0.47 PPG
→ Bentley (0.10 D1 FR PPG)
0.25 Developing
NCAAe PPG
Yasin Cissé
QMJHL · 2012-13 · 0.52 PPG
→ Boston University
0.23 No data
NCAAe PPG
Ali Thomas
USHL · 2012-13 · 0.34 PPG
→ Notre Dame (0.18 D1 FR PPG)
0.18 Developing
NCAAe PPG
Dylan Walchuk
WHL · 2012-13 · 0.86 PPG
→ Northern Michigan (0.42 D1 FR PPG)
0.37 Average
NCAAe PPG
David Goodwin
USHL · 2012-13 · 0.67 PPG
→ Penn State (0.53 D1 FR PPG)
0.35 Average
NCAAe PPG

D2/3 Comparables

Shayne Morrissey
Neumann · 2012-13
0.885 Strong
actual D2/3 PPG
Evan Schieber
Worcester State · 2017-18
0.611 Average
actual D2/3 PPG
Mike Glaesmer
Saint Mary's (MN) · 2006-07
1.040 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.