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

Giovanni Perillo Elite Prospects ↗

Position: Forward DOB: 2001-05-26 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
2018-19 DME Hockey Academy USPHL-Premier 33 7 13 20 0.606 0.0793 0.0858 0.2057 0.2226
2020-21 New Hampshire Jr. Monarchs USPHL-Premier 1 1 0 1 1.000 0.1308 0.1308 0.3394 0.3394
2021-22 Espanola Paper Kings NOJHL 18 4 6 10 0.556 0.0928 0.0849 0.2313 0.2117
■ 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
2023-24 Anna Maria D3 MASCAC — 13 3 1 4 0.308
2022-23 Anna Maria D3 MASCAC — 22 3 2 5 0.227
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.07
before college
→
Actual FR PPG
0.23
2022-23 · Anna Maria
+211.4% vs. projection

College Pathway Likelihood (based on 40 comparables)

15%
NCAA D1
12%
NCAA D2/D3
68%
Age-Out / Club
5%
Pro / Other

NCAAe Rankings

#26051
Forward overall
#1328
Forward born in 2001

D1 Comparables

Eli Lichtenwald
USHL · 2012-13 · 0.36 PPG
→ Union (0.68 D1 FR PPG)
0.19 Strong
NCAAe PPG
Ali Thomas
USHL · 2012-13 · 0.34 PPG
→ Notre Dame (0.18 D1 FR PPG)
0.18 Developing
NCAAe PPG
Yasin Cissé
QMJHL · 2012-13 · 0.52 PPG
→ Boston University
0.23 No data
NCAAe PPG
Woody Hudson
USHL · 2012-13 · 0.43 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.23 Developing
NCAAe PPG
Cullen Hurley
USHL · 2012-13 · 0.38 PPG
→ Wisconsin
0.21 No data
NCAAe PPG

D2/3 Comparables

Phil Feinberg
Suffolk · 2023-24
0.191 Developing
actual D2/3 PPG
Nate Foster
Nichols · 2016-17
0.188 Developing
actual D2/3 PPG
Brock Sawyer
Elmira · 2007-08
0.444 Average
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.