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Jack Ohlund Elite Prospects ↗

Position: Forward DOB: 2004-10-12 Country: USA
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 Lakeville South USHS-MN 30 6 4 10 0.333 0.0897 0.0897 0.0810 0.0810
2022-23 Lakeville South USHS-MN 30 4 5 9 0.300 0.0808 0.0808 0.0729 0.0729
2023-24 Soo Eagles NOJHL 58 12 15 27 0.466 0.1184 0.1171 0.1931 0.1910
2024-25 Soo Eagles NOJHL 21 4 8 12 0.571 0.1453 0.1369 0.2371 0.2233
■ 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 New England College D3 LittleEast FR 24 3 7 10 0.417
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.11
before college
→
Actual FR PPG
0.42
2025-26 · New England College
+277.4% vs. projection

College Pathway Likelihood (based on 40 comparables)

20%
NCAA D1
10%
NCAA D2/D3
62%
Age-Out / Club
0%
Pro / Other

NCAAe Rankings

#42058
Forward overall
#2761
Forward born in 2004

D1 Comparables

Woody Hudson
USHL · 2012-13 · 0.43 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.24 Developing
NCAAe PPG
Cullen Hurley
USHL · 2012-13 · 0.38 PPG
→ Wisconsin
0.22 No data
NCAAe PPG
Max Birkinbine
USHL · 2012-13 · 0.46 PPG
→ Air Force (0.14 D1 FR PPG)
0.26 Developing
NCAAe PPG
Eli Lichtenwald
USHL · 2012-13 · 0.36 PPG
→ Union (0.68 D1 FR PPG)
0.20 Strong
NCAAe PPG
Tayler Munson
USHL · 2012-13 · 0.31 PPG
→ Alaska Fairbanks (0.35 D1 FR PPG)
0.18 Average
NCAAe PPG

D2/3 Comparables

Bill Walsh
Worcester State · 2002-03
0.000 No data
actual D2/3 PPG
Michael Thomas
Colby · 2017-18
0.417 Average
actual D2/3 PPG
Ryan Gorbett
Franklin Pierce · 2017-18
0.304 Developing
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.