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Morley Phillips Elite Prospects ↗

Position: Forward DOB: 2004-03-14 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
2022-23 Boston Dukes EHL 40 17 10 27 0.675 0.1449 0.1529 — —
2023-24 — NAHL 38 5 6 11 0.289 0.1075 0.1064 0.3065 0.3033
2024-25 Amarillo Wranglers NAHL 57 13 22 35 0.614 0.2280 0.2136 0.6501 0.6091
■ 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 SUNY Cortland D3 SUNYAC FR 26 6 6 12 0.462
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.15
before college
→
Actual FR PPG
0.46
2025-26 · SUNY Cortland
+215.9% vs. projection

College Pathway Likelihood (based on 40 comparables)

20%
NCAA D1
38%
NCAA D2/D3
42%
Age-Out / Club
0%
Pro / Other

NCAAe Rankings

#24280
Forward overall
#1202
Forward born in 2004

D1 Comparables

Ali Thomas
USHL · 2012-13 · 0.34 PPG
→ Notre Dame (0.18 D1 FR PPG)
0.19 Developing
NCAAe PPG
Ricky DeRosa
NAHL · 2012-13 · 0.71 PPG
→ Penn State (0.38 D1 FR PPG)
0.24 Average
NCAAe PPG
Bradley Duwe
NAHL · 2012-13 · 0.65 PPG
→ Alaska Anchorage (0.30 D1 FR PPG)
0.23 Developing
NCAAe PPG
Will Suter
USHL · 2012-13 · 0.47 PPG
→ Bentley (0.10 D1 FR PPG)
0.27 Developing
NCAAe PPG
Bob Kinne
NAHL · 2012-13 · 0.48 PPG
→ Bemidji State (0.12 D1 FR PPG)
0.17 Developing
NCAAe PPG

D2/3 Comparables

Steven Mohler
Curry · 2007-08
0.625 Average
actual D2/3 PPG
Dakota Ulmer
Bryn Athyn · 2016-17
0.538 Average
actual D2/3 PPG
Dakota Zarudny
SUNY Geneseo · 2021-22
0.727 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.