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Lucas De La Salle Elite Prospects ↗

Position: Forward DOB: 2004-06-23 Country: Canada
Marian
Verbal NCHA D3

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
2023-24 Northern Manitoba Blizzard MJHL 53 8 17 25 0.472 0.0908 0.0894 0.2975 0.2930
2024-25 Northern Manitoba Blizzard MJHL 14 2 1 3 0.214 0.0413 0.0384 0.1351 0.1256
■ 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 Anna Maria D3 MASCAC FR 17 9 1 10 0.588
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.05
before college
→
Actual FR PPG
0.59
2025-26 · Anna Maria
+1069.4% vs. projection

College Pathway Likelihood (based on 40 comparables)

12%
NCAA D1
15%
NCAA D2/D3
60%
Age-Out / Club
8%
Pro / Other

NCAAe Rankings

#49686
Forward overall
#3408
Forward born in 2004
#1462
in MJHL

D1 Comparables

Ali Thomas
USHL · 2012-13 · 0.34 PPG
→ Notre Dame (0.18 D1 FR PPG)
0.18 Developing
NCAAe PPG
Tayler Munson
USHL · 2012-13 · 0.31 PPG
→ Alaska Fairbanks (0.35 D1 FR PPG)
0.17 Average
NCAAe PPG
Stanislav Dzakhov
USHL · 2012-13 · 0.27 PPG
→ Niagara (0.44 D1 FR PPG)
0.15 Average
NCAAe PPG
Ben Ostlie
USHL · 2012-13 · 0.23 PPG
→ Notre Dame
0.13 No data
NCAAe PPG
William Messa
USHL · 2012-13 · 0.21 PPG
→ Northeastern
0.12 No data
NCAAe PPG

Marian Alumni similar profiles who attended this school

Brady Pupp
0.31
actual FR PPG at Marian
Mark Whiteley
0.46
actual FR PPG at Marian
Taylor Derynck
0.00
actual FR PPG at Marian
Brock Weston
0.16
actual FR PPG at Marian

D2/3 Comparables

Kyle McDonald
Nichols · 2017-18
0.100 Developing
actual D2/3 PPG
Matt Amelio
King's · 2017-18
0.091 Developing
actual D2/3 PPG
Robert Hyde
SUNY Cortland · 2022-23
0.214 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.