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Greg Moro Elite Prospects ↗

Position: Defense DOB: 1995-10-01 Country: Canada
Signed Professionally
SaiPa · Liiga

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
2013-14 Humboldt Broncos SJHL 47 0 5 5 0.106 0.0273 0.0288 0.0802 0.0847
2014-15 Humboldt Broncos SJHL 53 5 22 27 0.509 0.1305 0.1311 0.3840 0.3856
2015-16 Humboldt Broncos SJHL 28 6 10 16 0.571 0.1464 0.1398 0.4307 0.4113
2022-23 Liiga 39 2 6 8 0.205 0.5128 0.4820 1.7631 1.6572
2023-24 SaiPa Liiga 39 1 4 5 0.128 0.3205 0.2911 1.1020 1.0009
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
2019-20 Clarkson D1 ECAC SR 32 1 6 7 0.219
2018-19 Clarkson D1 ECAC JR 39 5 15 20 0.513
2017-18 Clarkson D1 ECAC SO 38 0 8 8 0.210
2016-17 Clarkson D1 ECAC FR 38 2 8 10 0.263
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.13
before college
Actual FR PPG
0.26
2016-17 · Clarkson
+104.5% vs. projection

College Pathway Likelihood (based on 40 comparables)

8%
NCAA D1
0%
NCAA D2/D3
92%
Pro / Other

NCAAe Rankings

#2572
Defenseman overall
#518
Defenseman born in 1995

D2/3 Comparables

Aurora · 2021-22
1.000 Elite
actual D2/3 PPG
Nazareth · 2016-17
1.000 Elite
actual D2/3 PPG
Adrian · 2016-17
1.357 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.