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Patrick DeMarinis Elite Prospects ↗

Position: Forward DOB: 2003-09-11 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
2020-21 New Jersey 87's EHLP 32 11 20 31 0.969 0.0630 0.0630 0.2182 0.2182
2021-22 New Jersey 87's EHL 24 3 6 9 0.375 0.0549 0.0594 0.1839 0.1989
2022-23 New Jersey 87's EHL 44 14 14 28 0.636 0.0931 0.0959 0.3120 0.3213
■ 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
2025-26 Saint Anselm D2 NE10 SR 31 5 9 14 0.452
2024-25 Saint Anselm D2 NE10 JR 30 11 7 18 0.600
2023-24 Saint Anselm D2 NE10 SO 18 4 2 6 0.333
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.07
before college
→
Actual FR PPG
0.33
2023-24 · Saint Anselm
+378.9% vs. projection

College Pathway Likelihood (based on 40 comparables)

18%
NCAA D2/D3
0%
Club / ACHA
28%
Other

NCAAe Rankings

#30420
Forward overall
#1783
Forward born in 2003

D1 Comparables

Conor Andrle
USHL · 2012-13 · 0.20 PPG
→ Army (0.53 D1 FR PPG)
0.11 Average
NCAAe PPG
Josh Erickson
USHL · 2012-13 · 0.21 PPG
→ Alaska Fairbanks (0.14 D1 FR PPG)
0.12 Developing
NCAAe PPG
Landon Smith
USHL · 2012-13 · 0.39 PPG
→ Quinnipiac (0.79 D1 FR PPG)
0.22 Strong
NCAAe PPG
Tyler Hynes
USHL · 2012-13 · 0.28 PPG
→ Union (0.19 D1 FR PPG)
0.16 Developing
NCAAe PPG
Jake Wood
USHL · 2012-13 · 0.43 PPG
→ RPI (0.24 D1 FR PPG)
0.25 Developing
NCAAe PPG

D2/3 Comparables

Steve Culbertson
Castleton · 2004-05
1.111 Elite
actual D2/3 PPG
Peter Bates
St. Norbert · 2015-16
0.875 Strong
actual D2/3 PPG
Jonathan Power
Nazareth · 2013-14
0.320 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.