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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 0.4586 0.4586
2023-24 Rogers USHS-MN 19 16 20 36 1.895 0.2399 0.2399 0.4600 0.4600
2024-25 Tri-City Storm USHL 9 1 1 2 0.222 0.1311 0.1366 0.6668 0.6950
2025-26 Tri-City Storm USHL 58 12 18 30 0.517 0.3051 0.3032 1.5520 1.5425
2026-27 Des Moines Buccaneers USHL 6 4 3 7 1.167 0.6882 0.6882 3.5009 3.5009
■ Blue = NCAAe (D1 anchor)   ■ Green = D3e (D3 anchor)   COVID-flagged seasons highlighted in yellow

College Pathway Likelihood (based on 40 comparables)

90%
NCAA D1
0%
NCAA D2/D3
2%
Age-Out / Club
8%
Pro / Other

NCAAe Rankings

#5598
Forward overall
#85
Forward born in 2007

D1 Comparables

Luc Gerdes
USHL · 2012-13 · 1.00 PPG
→ Colorado College (0.25 D1 FR PPG)
0.56 Developing
NCAAe PPG
Sam Anas
USHL · 2012-13 · 0.98 PPG
→ Quinnipiac (1.07 D1 FR PPG)
0.55 Elite
NCAAe PPG
J.T. Stenglein
USHL · 2012-13 · 1.04 PPG
→ Michigan (0.07 D1 FR PPG)
0.59 Developing
NCAAe PPG
Kyle Novak
USHL · 2012-13 · 1.20 PPG
→ Western Michigan (0.19 D1 FR PPG)
0.65 Developing
NCAAe PPG
Mike Szmatula
USHL · 2012-13 · 1.21 PPG
→ Northeastern (1.05 D1 FR PPG)
0.65 Elite
NCAAe PPG

Ohio State Alumni similar profiles who attended this school

Cam Thiesing
USHL 2020-21
0.68
actual FR PPG at Ohio State
Landen Gunderson
USHL 2024-25
0.17
actual FR PPG at Ohio State
Nick Jones
BCHL 2015-16
0.23
actual FR PPG at Ohio State
Nathan Lewis
USHL 2023-24
0.21
actual FR PPG at Ohio State

D2/3 Comparables

Neil Trimm
Neumann · 2003-04
1.800 Elite
actual D2/3 PPG
Arkhip Ledenkov
St. Scholastica · 2018-19
1.636 Elite
actual D2/3 PPG
Filimon Ledenkov
St. Scholastica · 2018-19
1.636 Elite
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.