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

Sam Colangelo Elite Prospects ↗

Position: Forward DOB: 2001-12-26 Country: USA
2020 NHL Draft Round 2, Pick #36  ·  Anaheim Ducks Anaheim Ducks
Signed Professionally

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 — USHL 11 3 0 3 0.273 0.1676 0.1819 0.8034 0.8720
2019-20 — USHL 44 28 30 58 1.318 0.8103 0.8103 3.8837 3.8837
■ 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 Michigan D1 BigTen — 38 24 19 43 1.132
2023-24 Western Michigan D1 NCHC — 38 24 19 43 1.132
2022-23 Northeastern D1 HockeyEast JR 35 9 15 24 0.686
2021-22 Northeastern D1 HockeyEast SO 29 12 15 27 0.931
2020-21 Northeastern D1 HockeyEast FR 8 0 3 3 0.375
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.16
before college
→
Actual FR PPG
0.38
2020-21 · Northeastern
+140.8% vs. projection

College Pathway Likelihood (based on 40 comparables)

28%
NCAA D1
0%
NCAA D2/D3
72%
Pro / Other

NCAAe Rankings

D1 Comparables

Joe Snively
USHL · 2012-13 · 0.33 PPG
→ Yale (0.88 D1 FR PPG)
0.22 Elite
NCAAe PPG
Dylan Pavelek
USHL · 2012-13 · 0.33 PPG
→ Michigan State
0.22 No data
NCAAe PPG
Alec Marsh
USHL · 2012-13 · 0.28 PPG
→ Penn State (0.57 D1 FR PPG)
0.18 Strong
NCAAe PPG
Jared Fiegl
USHL · 2012-13 · 0.21 PPG
→ Cornell (0.04 D1 FR PPG)
0.14 Developing
NCAAe PPG
Tyler Sheehy
USHL · 2012-13 · 0.20 PPG
→ Minnesota (0.81 D1 FR PPG)
0.13 Elite
NCAAe PPG

D2/3 Comparables

Matt Wood
Utica · 2017-18
0.636 Average
actual D2/3 PPG
Matt Silcoff
Middlebury · 2010-11
0.960 Strong
actual D2/3 PPG
Dylan Nowakowski
St. Scholastica · 2008-09
0.889 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.