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

Charlie Lieberman Elite Prospects ↗

Position: Defense DOB: 2004-01-12 Country: USA
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
2020-21 Janesville Jets NAHL 1 0 1 1 1.000 0.3552 0.3552 1.0499 1.0499
2021-22 Janesville Jets NAHL 9 0 2 2 0.222 0.0789 0.0850 0.2333 0.2515
2022-23 Janesville Jets NAHL 60 0 12 12 0.200 0.0710 0.0730 0.2100 0.2160
2023-24 Youngstown Phantoms USHL 52 2 7 9 0.173 0.1021 0.0955 0.5100 0.4771
■ 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
2025-26 UMass D1 HockeyEast SO 25 0 3 3 0.120
2024-25 UMass D1 HockeyEast — 0 0 0 0 0.000

College Pathway Likelihood (based on 40 comparables)

38%
NCAA D1
20%
NCAA D2/D3
22%
Age-Out / Club
20%
Pro / Other

NCAAe Rankings

#17791
Defenseman overall
#3254
Defenseman born in 2004

D1 Comparables

Kyle McKenzie
USHL · 2012-13 · 0.14 PPG
→ Providence (0.15 D1 FR PPG)
0.08 Average D
NCAAe PPG
Matt Fuller
OHL · 2012-13 · 0.11 PPG
→ Southern Maine (0.17 D1 FR PPG)
0.06 Average D
NCAAe PPG
Taki Pantziris
OHL · 2012-13 · 0.29 PPG
→ Brown
0.15 No data
NCAAe PPG
Joseph Fiala
USHL · 2012-13 · 0.22 PPG
→ Quinnipiac (0.05 D1 FR PPG)
0.12 Developing D
NCAAe PPG
Brandon Parker
USHL · 2012-13 · 0.20 PPG
→ Alabama-Huntsville (0.38 D1 FR PPG)
0.11 Strong D
NCAAe PPG

D2/3 Comparables

Stefan Decosse
SUNY Geneseo · 2006-07
0.545 Average
actual D2/3 PPG
Scott Voisin
SUNY Potsdam · 2007-08
0.700 Strong
actual D2/3 PPG
Zach Bettmeng
Becker · 2017-18
0.375 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.