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Mason Palmer Elite Prospects ↗

Position: Defense DOB: 1998-11-20 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
2015-16 Minnesota Magicians NAHL 25 0 4 4 0.160 0.0588 0.0657
2016-17 Waterloo Black Hawks USHL 56 2 6 8 0.143 0.0843 0.0870 0.4292 0.4428
2017-18 Waterloo Black Hawks USHL 57 2 11 13 0.228 0.1346 0.1322 0.6851 0.6728
2018-19 Waterloo Black Hawks USHL 62 5 25 30 0.484 0.2855 0.2656 1.4533 1.3522
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
2024-25 Southern Maine D3 NEHC SR 12 0 0 0 0.000
2023-24 Southern Maine D3 NEHC SR 9 0 0 0 0.000
2022-23 Augsburg D3 MIAC 24 1 15 16 0.667
2021-22 Augsburg D3 MIAC 29 0 22 22 0.759
2020-21 Northern Michigan D1 WCHA SO 23 0 1 1 0.043
2019-20 Northern Michigan D1 WCHA FR 28 0 1 1 0.036
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.20
before college
Actual FR PPG
0.04
2019-20 · Northern Michigan
-82.2% vs. projection

College Pathway Likelihood (based on 40 comparables)

62%
NCAA D1
5%
NCAA D2/D3
28%
Age-Out / Club
5%
Pro / Other

NCAAe Rankings

#6879
Defenseman overall
#1389
Defenseman born in 1998

D1 Comparables

USHL · 2012-13 · 0.41 PPG
→ Bowling Green
0.22 No data
NCAAe PPG
USHL · 2012-13 · 0.32 PPG
→ Dartmouth
0.17 No data
NCAAe PPG
USHL · 2012-13 · 0.47 PPG
→ Denver (0.10 D1 FR PPG)
0.26 Developing D
NCAAe PPG
USHL · 2012-13 · 0.45 PPG
→ Ohio State (0.50 D1 FR PPG)
0.24 Elite D
NCAAe PPG
USHL · 2012-13 · 0.23 PPG
→ RPI (0.10 D1 FR PPG)
0.13 Developing D
NCAAe PPG

D2/3 Comparables

SUNY Geneseo · 2015-16
1.074 Elite
actual D2/3 PPG
Becker · 2006-07
1.000 Elite
actual D2/3 PPG
Neumann · 2022-23
1.500 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.