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Leo Schwartz Elite Prospects ↗

Position: Defense DOB: 2004-10-05 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
2021-22 Maryland Black Bears NAHL 27 1 6 7 0.259 0.1027 0.1144 0.2722 0.3033
2022-23 — NAHL 49 2 11 13 0.265 0.1051 0.1120 0.2785 0.2967
2023-24 New Jersey Jr. Titans NAHL 58 4 13 17 0.293 0.1161 0.1181 0.3077 0.3131
■ 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 Brown D1 ECAC SO 16 0 3 3 0.188
2024-25 Brown D1 ECAC — 20 0 2 2 0.100
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.11
before college
→
Actual FR PPG
0.10
2024-25 · Brown
-8.4% vs. projection

College Pathway Likelihood (based on 40 comparables)

25%
NCAA D1
15%
NCAA D2/D3
32%
Age-Out / Club
28%
Pro / Other

NCAAe Rankings

#15554
Defenseman overall
#2974
Defenseman born in 2004
#5029
in NAHL

D1 Comparables

Neal Goff
USHL · 2012-13 · 0.18 PPG
→ Western Michigan (0.14 D1 FR PPG)
0.10 Developing D
NCAAe PPG
Joe Schuldt
USHL · 2012-13 · 0.08 PPG
→ Michigan Tech
0.05 No data
NCAAe PPG
Christian Neumann
USHL · 2012-13 · 0.29 PPG
→ UConn (0.10 D1 FR PPG)
0.17 Developing D
NCAAe PPG
Mike Preston
USHL · 2012-13 · 0.07 PPG
→ Army (0.16 D1 FR PPG)
0.04 Average D
NCAAe PPG
Tommy Davis
USHL · 2012-13 · 0.34 PPG
→ Princeton (0.29 D1 FR PPG)
0.20 Average D
NCAAe PPG

D2/3 Comparables

Greg Diamond
SUNY Geneseo · 2023-24
0.518 Average
actual D2/3 PPG
Alex Walker
UMass Dartmouth · 2023-24
0.750 Strong
actual D2/3 PPG
Donnie Hallmark
Wisconsin-Stevens Point · 2007-08
0.607 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.