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Max Jaldung Elite Prospects ↗

Position: Forward DOB: 2003-04-04 Country: Sweden
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
2020-21 Brooklyn Aviators USPHL-Premier 22 6 10 16 0.727 0.0951 0.0951 0.2468 0.2468
2022-23 Connecticut Jr. Rangers NCDC 50 11 19 30 0.600 0.2446 0.2431 0.4823 0.4793
2023-24 Connecticut Jr. Rangers NCDC 44 20 24 44 1.000 0.4077 0.3820 0.8038 0.7531
■ 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 Lake Forest D3 NCHA SO 24 11 10 21 0.875
2024-25 Salve Regina D3 CNE — 24 4 6 10 0.417
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.28
before college
→
Actual FR PPG
0.42
2024-25 · Salve Regina
+49.1% vs. projection

College Pathway Likelihood (based on 40 comparables)

40%
NCAA D2/D3
0%
Club / ACHA
0%
Other

NCAAe Rankings

#7314
Forward overall
#269
Forward born in 2003

D1 Comparables

Carlos Amestoy
OHL · 2012-13 · 0.75 PPG
→ Maine
0.39 No data
NCAAe PPG
Todd Skirving
USHL · 2012-13 · 0.80 PPG
→ RIT (0.65 D1 FR PPG)
0.43 Strong
NCAAe PPG
Jordan Nelson
USHL · 2012-13 · 0.59 PPG
→ Minnesota State (0.22 D1 FR PPG)
0.31 Developing
NCAAe PPG
David Goodwin
USHL · 2012-13 · 0.67 PPG
→ Penn State (0.53 D1 FR PPG)
0.35 Average
NCAAe PPG
T.J. Sarcona
NAHL · 2012-13 · 1.06 PPG
→ Niagara (0.58 D1 FR PPG)
0.36 Strong
NCAAe PPG

D2/3 Comparables

Roman Gaudet
SUNY Morrisville · 2016-17
0.000 No data
actual D2/3 PPG
Gordon Bell
SUNY Potsdam · 2000-01
0.800 Strong
actual D2/3 PPG
Keegan Milligan
St. Norbert · 2016-17
0.781 Strong
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.