IcePath icepath.io · Hockey Analytics
← New Search ↗ Social Card

Robert Angiolella Elite Prospects ↗

Position: Forward DOB: 1993-02-28 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 0 2 2 0.250 0.0613 0.0671 0.1721 0.1885
2010-11 Markham Waxers OJHL 22 6 7 13 0.591 0.1448 0.1518 0.4067 0.4265
2011-12 Markham Waxers OJHL 36 16 18 34 0.944 0.2315 0.2325 0.6500 0.6529
2012-13 Aurora Tigers OJHL 45 25 22 47 1.044 0.2560 0.2444 0.7189 0.6863
2013-14 Aurora Tigers OJHL 42 24 28 52 1.238 0.3035 0.2742 0.8522 0.7700
■ 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
2015-16 Niagara D1 AHA SO 4 0 1 1 0.250
2014-15 Niagara D1 AHA FR 18 7 6 13 0.722
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.22
before college
→
Actual FR PPG
0.72
2014-15 · Niagara
+221.7% vs. projection

NCAAe Rankings

#13620
Forward overall
#489
Forward born in 1993
#369
in OJHL

D1 Comparables

Yasin Cissé
QMJHL · 2012-13 · 0.52 PPG
→ Boston University
0.23 No data
NCAAe PPG
David Goodwin
USHL · 2012-13 · 0.67 PPG
→ Penn State (0.53 D1 FR PPG)
0.35 Average
NCAAe PPG
Will Suter
USHL · 2012-13 · 0.47 PPG
→ Bentley (0.10 D1 FR PPG)
0.25 Developing
NCAAe PPG
Jordan Nelson
USHL · 2012-13 · 0.59 PPG
→ Minnesota State (0.22 D1 FR PPG)
0.31 Developing
NCAAe PPG
Ali Thomas
USHL · 2012-13 · 0.34 PPG
→ Notre Dame (0.18 D1 FR PPG)
0.18 Developing
NCAAe PPG

D2/3 Comparables

Robert Clerc
SUNY Potsdam · 2017-18
0.625 Average
actual D2/3 PPG
Nicholas Rooney
Roger Williams · 2024-25
0.667 Strong
actual D2/3 PPG
Mason Kesselring
Curry · 2024-25
0.750 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.