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Mason Kraft Elite Prospects ↗

Position: Forward DOB: 2007-02-06 Country: USA
Minnesota State
CCHA 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 Moorhead USHS-MN 30 7 31 38 1.267 0.1604 0.1604 0.3076 0.3076
2023-24 Moorhead USHS-MN 27 15 25 40 1.482 0.1876 0.1876 0.3597 0.3597
2024-25 Cedar Rapids RoughRiders USHL 8 1 0 1 0.125 0.0737 0.0765 0.3751 0.3893
2025-26 Wenatchee Wild WHL 54 14 26 40 0.741 0.3604 0.3557 1.8093 1.7857
■ 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
2026-27 Minnesota State D1 CCHA FR 0 0 0 0 0.000

College Pathway Likelihood (based on 40 comparables)

38%
NCAA D1
2%
NCAA D2/D3
18%
Age-Out / Club
42%
Pro / Other

NCAAe Rankings

#5554
Forward overall
#84
Forward born in 2007

D1 Comparables

USHL · 2012-13 · 0.62 PPG
→ New Hampshire (0.72 D1 FR PPG)
0.36 Strong
NCAAe PPG
USHL · 2012-13 · 0.64 PPG
→ Ferris State (0.58 D1 FR PPG)
0.37 Strong
NCAAe PPG
USHL · 2012-13 · 0.69 PPG
→ Minnesota Duluth (0.33 D1 FR PPG)
0.40 Developing
NCAAe PPG
USHL · 2012-13 · 0.65 PPG
→ Michigan State (0.33 D1 FR PPG)
0.37 Developing
NCAAe PPG
USHL · 2012-13 · 0.59 PPG
→ Western Michigan (0.14 D1 FR PPG)
0.35 Developing
NCAAe PPG

Minnesota State Alumni similar profiles who attended this school

USHL 2025-26
0.00
actual FR PPG at Minnesota State
USHS-MN 2022-23
0.25
actual FR PPG at Minnesota State
NAHL 2014-15
0.47
actual FR PPG at Minnesota State
USHS-MN 2023-24
0.00
actual FR PPG at Minnesota State

D2/3 Comparables

SUNY Oswego · 2007-08
0.893 Strong
actual D2/3 PPG
UMass Boston · 2016-17
2.500 Elite
actual D2/3 PPG
Lake Forest · 2021-22
0.963 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.