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Collin Nolan Elite Prospects ↗

Position: Defense DOB: 2004-04-19 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 Jersey Hitmen USPHL-Premier 14 0 4 4 0.286 0.0322 0.0322 0.0972 0.0972
2021-22 Jersey Hitmen USPHL-Elite 36 20 19 39 1.083 0.0807 0.0836 0.2482 0.2571
2022-23 New Jersey Rockets USPHL-Premier 29 0 6 6 0.207 0.0233 0.0240 0.0704 0.0726
2023-24 New Jersey Bears EHL 18 1 3 4 0.222 0.0325 0.0328 0.1089 0.1099
2024-25 New Jersey Bears EHL 34 3 16 19 0.559 0.0818 0.0784 0.2740 0.2625
■ 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 Lebanon Valley D3 MAC — 13 0 0 0 0.000

College Pathway Likelihood (based on 40 comparables)

32%
NCAA D2/D3
0%
Club / ACHA
0%
Other

NCAAe Rankings

#12869
Defenseman overall
#2614
Defenseman born in 2004

D1 Comparables

Marc-Antoine Carrier
QMJHL · 2012-13 · 0.37 PPG
→ Brown (0.04 D1 FR PPG)
0.16 Developing D
NCAAe PPG
Brandon Carlson
USHL · 2012-13 · 0.24 PPG
→ Alabama-Huntsville (0.11 D1 FR PPG)
0.13 Developing D
NCAAe PPG
Dominic Racobaldo
USHL · 2012-13 · 0.33 PPG
→ American International (0.12 D1 FR PPG)
0.18 Developing D
NCAAe PPG
Carter Foguth
USHL · 2012-13 · 0.08 PPG
→ Minnesota State (0.06 D1 FR PPG)
0.04 Developing D
NCAAe PPG
Michael Holland
USHL · 2012-13 · 0.18 PPG
→ RIT (0.05 D1 FR PPG)
0.09 Developing D
NCAAe PPG

D2/3 Comparables

Charles Widmar
St. Olaf · 2013-14
0.000 No data
actual D2/3 PPG
Campbell Balk
Endicott · 2018-19
0.250 Developing
actual D2/3 PPG
Ted Vickers
Amherst · 2005-06
0.500 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.