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Lucas Signoretti Elite Prospects ↗

Position: Forward DOB: 2004-03-30 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
2021-22 Erie Otters OHL 58 3 5 8 0.138 0.0800 0.0829 0.3534 0.3664
2022-23 Espanola Paper Kings NOJHL 40 39 40 79 1.975 0.5022 0.5094 0.8194 0.8312
2023-24 Sudbury Wolves OHL 15 1 5 6 0.400 0.2321 0.2195 1.0250 0.9694
2024-25 Greater Sudbury Cubs NOJHL 50 46 55 101 2.020 0.5137 0.4701 0.8381 0.7669
■ 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 Buffalo State D3 SUNYAC FR 25 13 15 28 1.120
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.32
before college
→
Actual FR PPG
1.12
2025-26 · Buffalo State
+253.8% vs. projection

College Pathway Likelihood (based on 40 comparables)

28%
NCAA D1
0%
NCAA D2/D3
62%
Age-Out / Club
10%
Pro / Other

NCAAe Rankings

#7127
Forward overall
#251
Forward born in 2004

D1 Comparables

Shane Sooth
USHL · 2012-13 · 0.95 PPG
→ Northern Michigan (0.45 D1 FR PPG)
0.52 Average
NCAAe PPG
Todd Skirving
USHL · 2012-13 · 0.80 PPG
→ RIT (0.65 D1 FR PPG)
0.44 Strong
NCAAe PPG
Carlos Amestoy
OHL · 2012-13 · 0.75 PPG
→ Maine
0.39 No data
NCAAe PPG
Eric Scheid
USHL · 2012-13 · 0.94 PPG
→ Alaska Anchorage (0.50 D1 FR PPG)
0.52 Average
NCAAe PPG
David Goodwin
USHL · 2012-13 · 0.67 PPG
→ Penn State (0.53 D1 FR PPG)
0.37 Average
NCAAe PPG

D2/3 Comparables

Arlen Marshall
Manhattanville · 2005-06
0.840 Strong
actual D2/3 PPG
Robert Clerc
SUNY Potsdam · 2017-18
0.625 Average
actual D2/3 PPG
Gordon Bell
SUNY Potsdam · 2000-01
0.800 Strong
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.