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Dante Fantauzzi Elite Prospects ↗

Position: Defense DOB: 2000-05-01 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
2016-17 North York Rangers OJHL 9 0 0 0 0.000 — — — —
2017-18 North York Rangers OJHL 44 3 7 10 0.227 0.0557 0.0592 0.1565 0.1662
2018-19 North York Rangers OJHL 37 3 18 21 0.568 0.1391 0.1409 0.3908 0.3960
2020-21 Sioux Falls Stampede USHL 34 1 16 17 0.500 0.2949 0.2949 1.5017 1.5017
■ 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 Sacred Heart D1 AHA GR 35 2 11 13 0.371
2022-23 Sacred Heart D1 AHA SR 33 2 3 5 0.151
2021-22 Sacred Heart D1 AHA JR 15 0 1 1 0.067
2019-20 Alaska Anchorage D1 WCHA FR 11 0 0 0 0.000

College Pathway Likelihood (based on 40 comparables)

28%
NCAA D1
2%
NCAA D2/D3
70%
Pro / Other

NCAAe Rankings

#6340
Defenseman overall
#1314
Defenseman born in 2000

D1 Comparables

Scott Moldenhauer
USHL · 2012-13 · 0.21 PPG
→ Western Michigan (0.11 D1 FR PPG)
0.12 Developing D
NCAAe PPG
Josh McArdle
USHL · 2012-13 · 0.16 PPG
→ Brown (0.23 D1 FR PPG)
0.09 Average D
NCAAe PPG
Dane Cooper
USHL · 2012-13 · 0.17 PPG
→ Brown (0.05 D1 FR PPG)
0.10 Developing D
NCAAe PPG
Chris Buchanan
USHL · 2012-13 · 0.15 PPG
→ Bentley (0.25 D1 FR PPG)
0.09 Average D
NCAAe PPG
Justin Wade
USHL · 2012-13 · 0.17 PPG
→ Notre Dame
0.10 No data
NCAAe PPG

D2/3 Comparables

Christian Lloyd
Elmira · 2013-14
0.792 Strong
actual D2/3 PPG
Connor Treacy
SUNY Potsdam · 2003-04
0.960 Strong
actual D2/3 PPG
Tyler Zembrzycki
Morrisville · 2021-22
0.440 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.