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Jonah Mortenson Elite Prospects ↗

Position: Forward DOB: 2002-06-12 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
2019-20 Benilde-St. Margaret's USHS-MN 27 8 8 16 0.593 0.0730 0.0730 0.1439 0.1439
2020-21 Benilde-St. Margaret's USHS-MN 21 8 9 17 0.809 0.0997 0.0997 0.1966 0.1966
2021-22 Tampa Bay Juniors USPHL-Premier 35 20 35 55 1.571 0.1773 0.1751 — —
2022-23 Tampa Bay Juniors USPHL-Premier 21 11 16 27 1.286 0.1450 0.1361 0.4374 0.4104
■ 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 Hamline D3 MIAC GR 19 0 2 2 0.105
2024-25 Hamline D3 MIAC SR 22 2 2 4 0.182
2023-24 Hamline D3 MIAC JR 4 0 0 0 0.000

College Pathway Likelihood (based on 40 comparables)

18%
NCAA D2/D3
0%
Club / ACHA
0%
Other

NCAAe Rankings

#10424
Forward overall
#506
Forward born in 2002

D1 Comparables

Eli Lichtenwald
USHL · 2012-13 · 0.36 PPG
→ Union (0.68 D1 FR PPG)
0.19 Strong
NCAAe PPG
Davey Middleton
USHL · 2012-13 · 0.50 PPG
→ Brown (0.10 D1 FR PPG)
0.27 Developing
NCAAe PPG
Woody Hudson
USHL · 2012-13 · 0.43 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.23 Developing
NCAAe PPG
Ali Thomas
USHL · 2012-13 · 0.34 PPG
→ Notre Dame (0.18 D1 FR PPG)
0.18 Developing
NCAAe PPG
Yasin Cissé
QMJHL · 2012-13 · 0.52 PPG
→ Boston University
0.23 No data
NCAAe PPG

D2/3 Comparables

Jody Sullivan
SUNY Oswego · 2015-16
0.400 Average
actual D2/3 PPG
Brayden Sampson
Aurora · 2017-18
0.518 Average
actual D2/3 PPG
Kyle Taylor
SUNY Plattsburgh · 2007-08
0.440 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.