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P.A. Martineau Elite Prospects ↗

Position: Forward DOB: 1997-01-20 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
2016-17 Palm Beach Hawks USPHL-Elite 24 25 22 47 1.958 0.2348 0.2266 0.4496 0.4340
2017-18 Brooks Bandits AJHL 32 7 16 23 0.719 0.2401 0.2165 0.6673 0.6017
■ 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
2021-22 Hobart D3 SUNYAC SR 24 10 8 18 0.750
2020-21 Hobart D3 SUNYAC JR 0 0 0 0 0.000
2019-20 Hobart D3 SUNYAC SO 28 5 10 15 0.536
2018-19 Hobart D3 SUNYAC FR 28 6 4 10 0.357
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.19
before college
→
Actual FR PPG
0.36
2018-19 · Hobart
+89.1% vs. projection

College Pathway Likelihood (based on 40 comparables)

15%
NCAA D1
20%
NCAA D2/D3
62%
Age-Out / Club
0%
Pro / Other

NCAAe Rankings

#17887
Forward overall
#738
Forward born in 1997

D1 Comparables

Aidan Cavallini
NAHL · 2012-13 · 0.65 PPG
→ Wisconsin
0.22 No data
NCAAe PPG
Ricky DeRosa
NAHL · 2012-13 · 0.71 PPG
→ Penn State (0.38 D1 FR PPG)
0.24 Average
NCAAe PPG
Will Suter
USHL · 2012-13 · 0.47 PPG
→ Bentley (0.10 D1 FR PPG)
0.27 Developing
NCAAe PPG
Ali Thomas
USHL · 2012-13 · 0.34 PPG
→ Notre Dame (0.18 D1 FR PPG)
0.19 Developing
NCAAe PPG
Perry D'Arrisso
NAHL · 2012-13 · 1.02 PPG
→ Clarkson (0.14 D1 FR PPG)
0.35 Developing
NCAAe PPG

D2/3 Comparables

Shaun Patry
Salve Regina · 2014-15
0.630 Average
actual D2/3 PPG
Brody Seitz
SUNY Brockport · 2024-25
0.792 Strong
actual D2/3 PPG
Jack Kilty
Endicott · 2015-16
0.533 Average
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.