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Justin Song Elite Prospects ↗

Position: Defense DOB: 2000-04-19 Country: USA
No commitment set

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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 Metro Jets USPHL-Premier 41 7 15 22 0.537 0.0722 0.0742 0.1827 0.1876
2019-20 Metro Jets USPHL-Premier 38 11 21 32 0.842 0.1133 0.1133 0.2867 0.2867
2020-21 Metro Jets USPHL-Premier 21 4 9 13 0.619 0.0833 0.0833 0.2107 0.2107
■ 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
2024-25 Arcadia D3 MAC SR 25 1 5 6 0.240
2023-24 Arcadia D3 MAC JR 16 2 4 6 0.375
2022-23 Arcadia D3 MAC SO 24 3 6 9 0.375
2021-22 Arcadia D3 MAC FR 24 1 9 10 0.417
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.07
before college
→
Actual FR PPG
0.42
2021-22 · Arcadia
+495.3% vs. projection

College Pathway Likelihood (based on 40 comparables)

15%
NCAA D2/D3
0%
Club / ACHA
85%
Other

NCAAe Rankings

#13710
Defenseman overall
#1788
Defenseman born in 2000
#2157
in USPHL-Premier

D1 Comparables

Phil Boje
USHL · 2012-13 · 0.10 PPG
→ Air Force (0.32 D1 FR PPG)
0.06 Strong D
NCAAe PPG
Chris Buchanan
USHL · 2012-13 · 0.15 PPG
→ Bentley (0.25 D1 FR PPG)
0.10 Average D
NCAAe PPG
Dylan Maller
USHL · 2012-13 · 0.08 PPG
→ New Hampshire (0.15 D1 FR PPG)
0.05 Average D
NCAAe PPG
Justin Wade
USHL · 2012-13 · 0.17 PPG
→ Notre Dame
0.11 No data
NCAAe PPG
Dane Cooper
USHL · 2012-13 · 0.17 PPG
→ Brown (0.05 D1 FR PPG)
0.11 Developing D
NCAAe PPG

D2/3 Comparables

Reed Stark
Wisconsin-Superior · 2018-19
0.792 Strong
actual D2/3 PPG
Adam Wiesner
Gustavus Adolphus · 2007-08
0.000 No data
actual D2/3 PPG
Dominic Brenza
Stevenson · 2013-14
0.458 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.