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Luca Fantilli Elite Prospects ↗

Position: Defense DOB: 2002-12-30 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 North York Rangers OJHL 1 0 0 0 0.000 — — — —
2020-21 Chicago Steel USHL 52 3 9 12 0.231 0.1419 0.1419 0.6800 0.6800
2021-22 Chicago Steel USHL 60 4 20 24 0.400 0.2459 0.2423 1.1785 1.1612
■ 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
2025-26 Michigan D1 BigTen SR 40 4 13 17 0.425
2024-25 Michigan D1 BigTen JR 34 1 5 6 0.176
2023-24 Michigan D1 BigTen SO 38 1 7 8 0.210
2022-23 Michigan D1 BigTen FR 35 2 5 7 0.200
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.23
before college
→
Actual FR PPG
0.20
2022-23 · Michigan
-12.5% vs. projection

College Pathway Likelihood (based on 40 comparables)

78%
NCAA D1
0%
NCAA D2/D3
15%
Age-Out / Club
8%
Pro / Other

NCAAe Rankings

#6469
Defenseman overall
#1603
Defenseman born in 2002

D1 Comparables

Dakota Mermis
OHL · 2012-13 · 0.41 PPG
→ Denver (0.21 D1 FR PPG)
0.23 Average D
NCAAe PPG
Nolan Gluchowski
USHL · 2012-13 · 0.40 PPG
→ St. Lawrence (0.55 D1 FR PPG)
0.24 Elite D
NCAAe PPG
Vince Pedrie
USHL · 2012-13 · 0.32 PPG
→ Penn State (0.69 D1 FR PPG)
0.19 Elite D
NCAAe PPG
Nelson Armstrong
OHL · 2012-13 · 0.52 PPG
→ St. Lawrence (0.19 D1 FR PPG)
0.30 Average D
NCAAe PPG
Eric Sweetman
USHL · 2012-13 · 0.29 PPG
→ St. Lawrence (0.39 D1 FR PPG)
0.17 Strong D
NCAAe PPG

D2/3 Comparables

Tyler Miller
St. Scholastica · 2007-08
0.852 Strong
actual D2/3 PPG
Caden Triggs
Concordia · 2019-20
0.600 Average
actual D2/3 PPG
Ikki Kogawa
Wisconsin-Superior · 2021-22
1.056 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.