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Phil Marinaccio Elite Prospects ↗

Position: Forward DOB: 1993-04-14 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
2009-10 Vaughan Vipers OJHL 8 4 1 5 0.625 0.1746 0.1923 0.4313 0.4750
2010-11 Villanova Knights OJHL 29 12 7 19 0.655 0.1831 0.1931 0.4522 0.4770
2011-12 Chicago Steel USHL 44 10 28 38 0.864 0.5499 0.5489 2.5880 2.5834
2012-13 — USHL 62 20 28 48 0.774 0.4930 0.4659 2.3200 2.1924
■ 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
2016-17 Bemidji State D1 WCHA SR 41 11 18 29 0.707
2015-16 Bemidji State D1 WCHA JR 36 2 7 9 0.250
2014-15 Bemidji State D1 WCHA JR 34 1 8 9 0.265
2013-14 Bemidji State D1 WCHA FR 36 5 6 11 0.306
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.43
before college
→
Actual FR PPG
0.31
2013-14 · Bemidji State
-28.5% vs. projection

NCAAe Rankings

#4087
Forward overall
#170
Forward born in 1993

D1 Comparables

Tyler Biggs
OHL · 2012-13 · 0.88 PPG
→ Miami (0.46 D1 FR PPG)
0.50 Average
NCAAe PPG
Tyler Heinonen
USHL · 2012-13 · 0.74 PPG
→ Michigan Tech (0.21 D1 FR PPG)
0.45 Developing
NCAAe PPG
Robbie Payne
NAHL · 2012-13 · 1.12 PPG
→ Northern Michigan (0.29 D1 FR PPG)
0.41 Developing
NCAAe PPG
Dominik Shine
USHL · 2012-13 · 0.90 PPG
→ Northern Michigan (0.45 D1 FR PPG)
0.54 Average
NCAAe PPG
Charlie O'Connor
USHL · 2012-13 · 0.64 PPG
→ Bemidji State (0.10 D1 FR PPG)
0.38 Developing
NCAAe PPG

D2/3 Comparables

Jon Whitelaw
SUNY Oswego · 2008-09
1.357 Elite
actual D2/3 PPG
Cole Hepler
Lebanon Valley · 2015-16
1.280 Elite
actual D2/3 PPG
Brandon Osmundson
Utica · 2017-18
1.448 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.