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Cory Babichuk Elite Prospects ↗

Position: Defense DOB: 1998-09-28 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
2015-16 Sherwood Park Crusaders AJHL 2 0 1 1 0.500 0.1677 0.1830 0.4627 0.5048
2016-17 Surrey Eagles BCHL 47 6 25 31 0.660 0.2541 0.2654 0.9599 1.0025
2017-18 Central Illinois Flying Aces USHL 8 0 2 2 0.250 0.1475 0.1438 0.7509 0.7319
2018-19 Spruce Grove Saints AJHL 26 6 13 19 0.731 0.2451 0.2298 0.6763 0.6340
■ 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
2021-22 Vermont D1 HockeyEast — 22 1 8 9 0.409
2020-21 RPI D1 ECAC — 0 0 0 0 0.000
2019-20 RPI D1 ECAC FR 27 4 12 16 0.593
2019-20 Rensselaer D1 — FR 27 4 12 16 0.593
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.18
before college
→
Actual FR PPG
0.59
2019-20 · RPI
+221.2% vs. projection

College Pathway Likelihood (based on 40 comparables)

50%
NCAA D1
2%
NCAA D2/D3
45%
Age-Out / Club
2%
Pro / Other

NCAAe Rankings

#5566
Defenseman overall
#1205
Defenseman born in 1998
#686
in AJHL

D1 Comparables

Benjamin Gallacher
USHL · 2012-13 · 0.45 PPG
→ Ohio State (0.50 D1 FR PPG)
0.24 Elite D
NCAAe PPG
Nolan Valleau
USHL · 2012-13 · 0.41 PPG
→ Bowling Green
0.22 No data
NCAAe PPG
Brandon Kirk
USHL · 2012-13 · 0.32 PPG
→ Dartmouth
0.17 No data
NCAAe PPG
Patrick Koudys
USHL · 2012-13 · 0.23 PPG
→ RPI (0.10 D1 FR PPG)
0.13 Developing D
NCAAe PPG
Matt Krug
USHL · 2012-13 · 0.21 PPG
→ Union (0.11 D1 FR PPG)
0.11 Developing D
NCAAe PPG

D2/3 Comparables

Joshua German
Arcadia · 2022-23
0.591 Average
actual D2/3 PPG
Cam Owens
SUNY Plattsburgh · 2014-15
0.647 Average
actual D2/3 PPG
Alex Altenbernd
St. Thomas · 2010-11
0.615 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.