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Mitch Jongmans Elite Prospects ↗

Position: Defense DOB: 2004-02-28 Country: Netherlands
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
2022-23 South Shore Kings USPHL-Premier 36 3 11 14 0.389 0.0509 0.0521 0.1320 0.1352
2023-24 South Shore Kings USPHL-Premier 40 2 11 13 0.325 0.0425 0.0415 0.1103 0.1076
2024-25 Islanders Hockey Club USPHL-Premier 43 6 18 24 0.558 0.0730 0.0670 0.1894 0.1737
■ 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 Worcester State D3 MASCAC FR 20 0 2 2 0.100
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.05
before college
→
Actual FR PPG
0.10
2025-26 · Worcester State
+86.6% vs. projection

College Pathway Likelihood (based on 40 comparables)

12%
NCAA D2/D3
2%
Club / ACHA
0%
Other

NCAAe Rankings

#11125
Defenseman overall
#2351
Defenseman born in 2004
#3323
in USPHL-Premier

D1 Comparables

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
Marc-Antoine Carrier
QMJHL · 2012-13 · 0.37 PPG
→ Brown (0.04 D1 FR PPG)
0.16 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
Brandon Carlson
USHL · 2012-13 · 0.24 PPG
→ Alabama-Huntsville (0.11 D1 FR PPG)
0.13 Developing D
NCAAe PPG

D2/3 Comparables

Simren Sandhu
St. Scholastica · 2006-07
0.360 Average
actual D2/3 PPG
Joey McGrath
Buffalo State · 2018-19
0.250 Developing
actual D2/3 PPG
Chris Jung
Fredonia · 2008-09
0.368 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.