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Charles Martin Elite Prospects ↗

Position: Defense DOB: 1998-03-30 Country: Canada
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
2018-19 Notre Dame Hounds SJHL 56 9 27 36 0.643 0.1647 0.1536 0.4837 0.4510
■ 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
2022-23 Wisconsin-Superior D3 WIAC SR 28 3 15 18 0.643
2021-22 Wisconsin-Superior D3 WIAC JR 29 2 7 9 0.310
2020-21 Wisconsin-Superior D1 BigTen SO 10 1 4 5 0.500
2020-21 Wisconsin-Superior D3 BigTen SO 10 1 4 5 0.500
2019-20 Wisconsin-Superior D1 BigTen FR 27 0 4 4 0.148
2019-20 Wisconsin-Superior D3 BigTen FR 27 0 4 4 0.148
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.14
before college
→
Actual FR PPG
0.15
2019-20 · Wisconsin-Superior
2.1% vs. projection

College Pathway Likelihood (based on 40 comparables)

52%
NCAA D1
0%
NCAA D2/D3
42%
Age-Out / Club
5%
Pro / Other

NCAAe Rankings

#7067
Defenseman overall
#1419
Defenseman born in 1998
#531
in SJHL

D1 Comparables

Marc-Antoine Carrier
QMJHL · 2012-13 · 0.37 PPG
→ Brown (0.04 D1 FR PPG)
0.16 Developing D
NCAAe PPG
Michael Holland
USHL · 2012-13 · 0.18 PPG
→ RIT (0.05 D1 FR PPG)
0.09 Developing D
NCAAe PPG
Dominic Racobaldo
USHL · 2012-13 · 0.33 PPG
→ American International (0.12 D1 FR PPG)
0.18 Developing D
NCAAe PPG
Carter Foguth
USHL · 2012-13 · 0.08 PPG
→ Minnesota State (0.06 D1 FR PPG)
0.04 Developing D
NCAAe PPG
Brandon Carlson
USHL · 2012-13 · 0.24 PPG
→ Alabama-Huntsville (0.11 D1 FR PPG)
0.13 Developing D
NCAAe PPG

D2/3 Comparables

Timmy Nicksic
St. Norbert · 2016-17
0.581 Average
actual D2/3 PPG
Erick Ware
SUNY Potsdam · 2010-11
0.809 Strong
actual D2/3 PPG
Adam Scuglia
SUNY Plattsburgh · 2010-11
0.333 Developing
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.