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

Jack Babbage Elite Prospects ↗

Position: Defense DOB: 2000-08-30 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
2017-18 Sioux City Musketeers USHL 53 1 6 7 0.132 0.0812 0.0870 0.3892 0.4168
2018-19 Sioux City Musketeers USHL 62 1 11 12 0.194 0.1189 0.1212 0.5701 0.5811
2019-20 Chicago Steel USHL 47 5 8 13 0.277 0.1700 0.1700 0.8149 0.8149
2020-21 Chicago Steel USHL 53 8 21 29 0.547 0.3364 0.3364 1.6122 1.6122
■ 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 St. Lawrence D1 ECAC — 22 0 5 5 0.227
2024-25 New Hampshire D1 HockeyEast — 20 1 0 1 0.050
2023-24 New Hampshire D1 HockeyEast — 15 1 4 5 0.333
2022-23 New Hampshire D1 HockeyEast — 14 0 1 1 0.071
2021-22 Quinnipiac D1 ECAC — 0 0 0 0 0.000

College Pathway Likelihood (based on 40 comparables)

38%
NCAA D1
2%
NCAA D2/D3
60%
Pro / Other

NCAAe Rankings

#4958
Defenseman overall
#1061
Defenseman born in 2000
#2309
in USHL

D1 Comparables

Zach Yoder
USHL · 2012-13 · 0.10 PPG
→ Air Force (0.31 D1 FR PPG)
0.06 Strong D
NCAAe PPG
Jake Bischoff
USHL · 2012-13 · 0.17 PPG
→ Minnesota (0.25 D1 FR PPG)
0.10 Average D
NCAAe PPG
Kyle Mackey
USHL · 2012-13 · 0.16 PPG
→ Air Force (0.21 D1 FR PPG)
0.10 Average D
NCAAe PPG
Cutler Martin
USHL · 2012-13 · 0.27 PPG
→ Michigan (0.47 D1 FR PPG)
0.17 Strong D
NCAAe PPG
Jimmy Mazza
USHL · 2012-13 · 0.17 PPG
→ Canisius (0.35 D1 FR PPG)
0.11 Strong D
NCAAe PPG

D2/3 Comparables

Steve Schroeder
Norwich · 2006-07
0.742 Strong
actual D2/3 PPG
Justin Ryan
SUNY Oswego · 2021-22
0.591 Average
actual D2/3 PPG
Richard McCartney
SUNY Plattsburgh · 2014-15
0.923 Strong
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.