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Mason Jenson Elite Prospects ↗

Position: Forward DOB: 2007-03-10 Country: USA
Ohio State
BigTen D1

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
2022-23 Rogers USHS-MN 27 22 29 51 1.889 0.2391 0.2391 0.4588 0.4588
2023-24 Rogers USHS-MN 19 16 20 36 1.895 0.2399 0.2399 0.4602 0.4602
2024-25 Tri-City Storm USHL 9 1 1 2 0.222 0.1311 0.1366 0.6674 0.6956
2025-26 Tri-City Storm USHL 58 12 18 30 0.517 0.3051 0.3032 1.5534 1.5439
■ Blue = NCAAe (D1 anchor)   ■ Green = D3e (D3 anchor)   COVID-flagged seasons highlighted in yellow

College Pathway Likelihood (based on 40 comparables)

80%
NCAA D1
2%
NCAA D2/D3
10%
Age-Out / Club
8%
Pro / Other

NCAAe Rankings

#5503
Forward overall
#80
Forward born in 2007

D1 Comparables

Zach Aman
USHL · 2012-13 · 0.52 PPG
→ Colorado College (0.11 D1 FR PPG)
0.31 Developing
NCAAe PPG
Kyle Schmidt
USHL · 2012-13 · 0.57 PPG
→ Bentley (0.30 D1 FR PPG)
0.33 Developing
NCAAe PPG
Willem Nong-Lambert
USHL · 2012-13 · 0.59 PPG
→ Western Michigan (0.14 D1 FR PPG)
0.35 Developing
NCAAe PPG
Brian Morgan
USHL · 2012-13 · 0.53 PPG
→ Maine (0.35 D1 FR PPG)
0.31 Average
NCAAe PPG
Jack Rowe
USHL · 2012-13 · 0.53 PPG
→ Arizona State (0.21 D1 FR PPG)
0.31 Developing
NCAAe PPG

Ohio State Alumni similar profiles who attended this school

Jake Karabela
OHL 2022-23
1.00
actual FR PPG at Ohio State
Landen Gunderson
USHS-MN 2021-22
0.17
actual FR PPG at Ohio State
Miguel Fidler
USHL 2014-15
0.35
actual FR PPG at Ohio State
Brendon Kearney
USHL 2013-14
0.33
actual FR PPG at Ohio State

D2/3 Comparables

Collin Patterson
UMass Dartmouth · 2021-22
1.125 Elite
actual D2/3 PPG
Maxwell Donohoe
Neumann · 2021-22
1.500 Elite
actual D2/3 PPG
Brett Gravelle
St. Thomas · 2014-15
0.923 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.