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Nicholas Babbie Elite Prospects ↗

Position: Forward DOB: 2003-08-05 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
2019-20 Philadelphia Rebels NAHL 4 1 0 1 0.250 0.0888 0.0888 0.2637 0.2637
2020-21 Pittsburgh Vengeance USPHL-Premier 3 1 2 3 1.000 0.1128 0.1128 0.3395 0.3395
2021-22 Minnesota Magicians NAHL 49 5 7 12 0.245 0.0870 0.0919 0.2583 0.2727
2022-23 — NAHL 8 1 1 2 0.250 0.0888 0.0894 0.2637 0.2655
■ 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 Chatham D3 UCHC SR 26 3 17 20 0.769
2024-25 Chatham D3 UCHC JR 22 3 11 14 0.636
2023-24 Chatham D3 UCHC SO 26 6 10 16 0.615
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.08
before college
→
Actual FR PPG
0.62
2023-24 · Chatham
+695.1% vs. projection

College Pathway Likelihood (based on 40 comparables)

30%
NCAA D1
15%
NCAA D2/D3
35%
Age-Out / Club
20%
Pro / Other

NCAAe Rankings

#36914
Forward overall
#2278
Forward born in 2003
#3727
in NAHL

D1 Comparables

Josh Erickson
USHL · 2012-13 · 0.21 PPG
→ Alaska Fairbanks (0.14 D1 FR PPG)
0.12 Developing
NCAAe PPG
Conor Andrle
USHL · 2012-13 · 0.20 PPG
→ Army (0.53 D1 FR PPG)
0.11 Average
NCAAe PPG
Ben Greiner
USHL · 2012-13 · 0.17 PPG
→ Bowling Green (0.38 D1 FR PPG)
0.10 Average
NCAAe PPG
Tyler Spezia
USHL · 2012-13 · 0.26 PPG
→ Bowling Green (0.25 D1 FR PPG)
0.15 Developing
NCAAe PPG
Zach Saar
USHL · 2012-13 · 0.33 PPG
→ Penn State (0.33 D1 FR PPG)
0.19 Developing
NCAAe PPG

D2/3 Comparables

Patrick Choi
Connecticut College · 2017-18
0.235 Developing
actual D2/3 PPG
Spencer Quinn
Fredonia · 2021-22
0.200 Developing
actual D2/3 PPG
Mike English
SUNY Plattsburgh · 2000-01
0.240 Developing
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.