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Julius Sumpf Elite Prospects ↗

Position: Forward DOB: 2005-01-11 Country: Germany
2025 · Round 4, Pick #98  ·  Chicago Blackhawks Chicago Blackhawks
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
2021-22 — USHL-Style-Czech 31 2 15 17 0.548 0.1693 0.1816 0.5857 0.6282
2023-24 Moncton Wildcats QMJHL 60 21 34 55 0.917 0.4504 0.4449 2.4479 2.4183
2024-25 Moncton Wildcats QMJHL 58 26 39 65 1.121 0.5506 0.5169 2.9926 2.8093
■ 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 Providence D1 HockeyEast FR 36 4 17 21 0.583
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.42
before college
→
Actual FR PPG
0.58
2025-26 · Providence
+39.6% vs. projection

College Pathway Likelihood (based on 40 comparables)

22%
NCAA D1
0%
NCAA D2/D3
15%
Age-Out / Club
62%
Pro / Other

NCAAe Rankings

#7874
Forward overall
#294
Forward born in 2005

D1 Comparables

Michael Vecchione
USHL · 2012-13 · 0.95 PPG
→ Union (0.89 D1 FR PPG)
0.53 Elite
NCAAe PPG
Gerald Mayhew
USHL · 2012-13 · 0.75 PPG
→ Ferris State (0.56 D1 FR PPG)
0.41 Strong
NCAAe PPG
Chad McDonald
USHL · 2012-13 · 0.79 PPG
→ Ferris State (0.48 D1 FR PPG)
0.44 Average
NCAAe PPG
Dominik Shine
USHL · 2012-13 · 0.90 PPG
→ Northern Michigan (0.45 D1 FR PPG)
0.50 Average
NCAAe PPG
Phil Marinaccio
USHL · 2012-13 · 0.77 PPG
→ Bemidji State (0.31 D1 FR PPG)
0.43 Developing
NCAAe PPG

D2/3 Comparables

Joona Juntunen
Saint Mary's (MN) · 2023-24
0.826 Strong
actual D2/3 PPG
Conor Landrigan
Utica · 2016-17
1.038 Elite
actual D2/3 PPG
Ryan Ellis
SUNY Oswego · 2004-05
1.704 Elite
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.