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

Nic Belpedio Elite Prospects ↗

Position: Defense DOB: 2001-10-09 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
2018-19 Muskegon Lumberjacks USHL 48 0 10 10 0.208 0.1280 0.1376 0.6137 0.6596
2019-20 Waterloo Black Hawks USHL 47 1 8 9 0.192 0.1177 0.1177 0.5642 0.5642
2020-21 Waterloo Black Hawks USHL 49 1 6 7 0.143 0.0878 0.0878 0.4210 0.4210
■ 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 Ferris State D1 CCHA — 29 0 4 4 0.138
2024-25 Colgate D1 ECAC SR 31 3 6 9 0.290
2023-24 Colgate D1 ECAC JR 9 3 2 5 0.556
2022-23 Colgate D1 ECAC SO 40 5 9 14 0.350
2021-22 Colgate D1 ECAC FR 36 4 5 9 0.250
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.13
before college
→
Actual FR PPG
0.25
2021-22 · Colgate
+92.5% vs. projection

College Pathway Likelihood (based on 40 comparables)

38%
NCAA D1
0%
NCAA D2/D3
62%
Pro / Other

NCAAe Rankings

#16043
Defenseman overall
#2639
Defenseman born in 2001
#3808
in USHL

D1 Comparables

Tyler Morrison
WHL · 2012-13 · 0.33 PPG
→ Northland
0.17 No data
NCAAe PPG
Phil Beaulieu
USHL · 2012-13 · 0.20 PPG
→ Northern Michigan (0.42 D1 FR PPG)
0.13 Strong D
NCAAe PPG
Keaton Thompson
USHL · 2012-13 · 0.31 PPG
→ North Dakota (0.31 D1 FR PPG)
0.20 Strong D
NCAAe PPG
Anthony Walsh
USHL · 2012-13 · 0.08 PPG
→ Yale (0.07 D1 FR PPG)
0.05 Developing D
NCAAe PPG
R.J. Gicewicz
USHL · 2012-13 · 0.33 PPG
→ St. Lawrence (0.22 D1 FR PPG)
0.22 Average D
NCAAe PPG

D2/3 Comparables

Richard Manley
SUNY Geneseo · 2006-07
1.150 Elite
actual D2/3 PPG
Tyler Nyman
Hamline · 2014-15
0.480 Average
actual D2/3 PPG
Jake Suede
Adrian · 2017-18
0.643 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.