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Josh Bifolchi Elite Prospects ↗

Position: Defense DOB: 1999-07-09 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
2018-19 Elliot Lake Vikings NOJHL 50 16 11 27 0.540 0.0902 0.0884 0.2248 0.2203
2019-20 Mississauga Chargers OJHL 50 12 17 29 0.580 0.1422 0.1422 0.3993 0.3993
■ 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
2023-24 SUNY Potsdam D3 SUNYAC JR 25 1 1 2 0.080
2022-23 SUNY Potsdam D3 SUNYAC SO 23 2 1 3 0.130
2021-22 SUNY Potsdam D3 SUNYAC FR 21 5 3 8 0.381
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.08
before college
→
Actual FR PPG
0.38
2021-22 · SUNY Potsdam
+356.8% vs. projection

College Pathway Likelihood (based on 40 comparables)

40%
NCAA D1
10%
NCAA D2/D3
18%
Age-Out / Club
32%
Pro / Other

NCAAe Rankings

#10290
Defenseman overall
#1953
Defenseman born in 1999

D1 Comparables

James Roll
USHL · 2012-13 · 0.22 PPG
→ Lake Superior State (0.30 D1 FR PPG)
0.12 Average D
NCAAe PPG
Christian Neumann
USHL · 2012-13 · 0.29 PPG
→ UConn (0.10 D1 FR PPG)
0.16 Developing D
NCAAe PPG
Dan Molenaar
USHL · 2012-13 · 0.24 PPG
→ Minnesota Duluth (0.18 D1 FR PPG)
0.13 Average D
NCAAe PPG
Neal Goff
USHL · 2012-13 · 0.18 PPG
→ Western Michigan (0.14 D1 FR PPG)
0.10 Developing D
NCAAe PPG
Tommy Davis
USHL · 2012-13 · 0.34 PPG
→ Princeton (0.29 D1 FR PPG)
0.20 Average D
NCAAe PPG

D2/3 Comparables

Craig Lindegard
Wisconsin-Stout · 2011-12
0.391 Average
actual D2/3 PPG
Emil Gabrielson
Adrian · 2018-19
0.000 No data
actual D2/3 PPG
Michael McIntosh
Amherst · 2002-03
0.640 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.