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Samson Mouland Elite Prospects ↗

Position: Defense DOB: 1999-08-12 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
2017-18 Dauphin Kings MJHL 26 0 1 1 0.038 0.0074 0.0077 0.0243 0.0254
2018-19 La Ronge Ice Wolves SJHL 25 3 4 7 0.280 0.0717 0.0718 0.2075 0.2077
2019-20 La Ronge Ice Wolves SJHL 30 5 7 12 0.400 0.1025 0.1025 0.2964 0.2964
■ 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 Anna Maria D3 MASCAC GR 26 5 7 12 0.462
2023-24 Anna Maria D3 MASCAC SR 24 5 3 8 0.333
2022-23 Anna Maria D3 MASCAC JR 23 2 4 6 0.261
2021-22 Anna Maria D3 MASCAC SO 21 3 2 5 0.238
2020-21 Anna Maria D1 — FR 6 0 0 0 0.000
2020-21 Anna Maria D3 MASCAC FR 6 0 0 0 0.000

College Pathway Likelihood (based on 40 comparables)

28%
NCAA D1
2%
NCAA D2/D3
22%
Age-Out / Club
48%
Pro / Other

NCAAe Rankings

#15179
Defenseman overall
#2540
Defenseman born in 1999

D1 Comparables

Neal Goff
USHL · 2012-13 · 0.18 PPG
→ Western Michigan (0.14 D1 FR PPG)
0.10 Developing D
NCAAe PPG
Joe Schuldt
USHL · 2012-13 · 0.08 PPG
→ Michigan Tech
0.05 No data
NCAAe PPG
Christian Neumann
USHL · 2012-13 · 0.29 PPG
→ UConn (0.10 D1 FR PPG)
0.17 Developing D
NCAAe PPG
James Roll
USHL · 2012-13 · 0.22 PPG
→ Lake Superior State (0.30 D1 FR PPG)
0.13 Average D
NCAAe PPG
Tommy Davis
USHL · 2012-13 · 0.34 PPG
→ Princeton (0.29 D1 FR PPG)
0.20 Average D
NCAAe PPG

D2/3 Comparables

Peter Smith
Bowdoin · 2025-26
0.222 Developing
actual D2/3 PPG
Cam Wright
Stonehill · 2015-16
0.731 Strong
actual D2/3 PPG
Jake McKenelly
Wentworth · 2016-17
0.769 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.