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Luke Santilli Elite Prospects ↗

Position: Defense DOB: 2004-12-05 Country: USA
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
2021-22 New Hampshire Jr. Monarchs NCDC 44 0 1 1 0.023 0.0127 0.0142 0.0184 0.0206
2022-23 Cowichan Valley Capitals BCHL 48 1 10 11 0.229 0.0854 0.0899 0.3340 0.3514
2023-24 Cowichan Valley Capitals BCHL 53 3 6 9 0.170 0.0633 0.0637 0.2474 0.2490
2024-25 Youngstown Phantoms USHL 60 1 5 6 0.100 0.0615 0.0572 0.2946 0.2738
■ 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 St. Lawrence D1 ECAC FR 35 2 6 8 0.229
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.06
before college
→
Actual FR PPG
0.23
2025-26 · St. Lawrence
+304.6% vs. projection

College Pathway Likelihood (based on 40 comparables)

22%
NCAA D1
32%
NCAA D2/D3
45%
Age-Out / Club
0%
Pro / Other

NCAAe Rankings

#22649
Defenseman overall
#3764
Defenseman born in 2004

D1 Comparables

Patrick Koudys
USHL · 2012-13 · 0.23 PPG
→ RPI (0.10 D1 FR PPG)
0.13 Developing D
NCAAe PPG
Kyle McKenzie
USHL · 2012-13 · 0.14 PPG
→ Providence (0.15 D1 FR PPG)
0.08 Average D
NCAAe PPG
Matt Fuller
OHL · 2012-13 · 0.11 PPG
→ Southern Maine (0.17 D1 FR PPG)
0.06 Average D
NCAAe PPG
Taki Pantziris
OHL · 2012-13 · 0.29 PPG
→ Brown
0.15 No data
NCAAe PPG
Brandon Kirk
USHL · 2012-13 · 0.32 PPG
→ Dartmouth
0.18 No data
NCAAe PPG

D2/3 Comparables

Brett Fudger
SUNY Oswego · 2021-22
0.385 Average
actual D2/3 PPG
Collin Heinold
New England · 2018-19
0.500 Average
actual D2/3 PPG
Dominic DiMambro
Southern New Hampshire · 2016-17
0.182 Developing
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.