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Manny Gialedakis Elite Prospects ↗

Position: Forward DOB: 1992-03-18 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
2008-09 Newmarket Hurricanes OJHL 1 1 0 1 1.000 0.2794 0.3074 0.6901 0.7593
2009-10 Toronto Dixie Beehives OJHL 49 20 26 46 0.939 0.2623 0.2748 0.6479 0.6788
2010-11 Fresno Monsters NAHL 19 2 6 8 0.421 0.1564 0.1610 0.4459 0.4591
2011-12 Georgetown Raiders OJHL 44 15 14 29 0.659 0.1842 0.1763 0.4548 0.4352
2012-13 Alberni Valley Bulldogs BCHL 52 20 26 46 0.885 0.3443 0.3152 1.2900 1.1809
■ 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
2013-14 SUNY Oswego D3 — FR 4 0 3 3 0.750
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.22
before college
→
Actual FR PPG
0.75
2013-14 · SUNY Oswego
+237.4% vs. projection

NCAAe Rankings

#14516
Forward overall
#629
Forward born in 1992

D1 Comparables

Jordan Nelson
USHL · 2012-13 · 0.59 PPG
→ Minnesota State (0.22 D1 FR PPG)
0.34 Developing
NCAAe PPG
David Goodwin
USHL · 2012-13 · 0.67 PPG
→ Penn State (0.53 D1 FR PPG)
0.38 Average
NCAAe PPG
Carlos Amestoy
OHL · 2012-13 · 0.75 PPG
→ Maine
0.40 No data
NCAAe PPG
Dylan Walchuk
WHL · 2012-13 · 0.86 PPG
→ Northern Michigan (0.42 D1 FR PPG)
0.37 Average
NCAAe PPG
Ricky DeRosa
NAHL · 2012-13 · 0.71 PPG
→ Penn State (0.38 D1 FR PPG)
0.24 Average
NCAAe PPG

D2/3 Comparables

Jared Docking
SUNY Plattsburgh · 2008-09
0.739 Strong
actual D2/3 PPG
Yann Poirier
Wisconsin-Superior · 2000-01
1.030 Elite
actual D2/3 PPG
Robbie Murden
Hamilton · 2012-13
1.091 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.