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Simon Labelle Elite Prospects ↗

Position: Forward DOB: 2002-09-03 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 Rockland Nationals CCHL 48 15 22 37 0.771 0.2461 0.2802 0.5967 0.6794
2019-20 Rockland Nationals CCHL 54 24 27 51 0.944 0.3015 0.3015 0.7311 0.7311
2020-21 Prince George Spruce Kings BCHL 19 2 8 10 0.526 0.1960 0.1960 0.7669 0.7669
2021-22 Prince George Spruce Kings BCHL 54 12 32 44 0.815 0.3035 0.3000 1.1872 1.1734
■ 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 Colgate D1 ECAC SR 37 13 15 28 0.757
2024-25 Colgate D1 ECAC JR 25 1 12 13 0.520
2023-24 Colgate D1 ECAC SO 36 7 20 27 0.750
2022-23 Colgate D1 ECAC FR 40 4 11 15 0.375
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.25
before college
→
Actual FR PPG
0.38
2022-23 · Colgate
+50.0% vs. projection

College Pathway Likelihood (based on 40 comparables)

40%
NCAA D1
0%
NCAA D2/D3
40%
Age-Out / Club
20%
Pro / Other

NCAAe Rankings

#18951
Forward overall
#1019
Forward born in 2002

D1 Comparables

Judd Peterson
USHL · 2012-13 · 0.57 PPG
→ St. Cloud State (0.19 D1 FR PPG)
0.34 Developing
NCAAe PPG
Jake Wood
USHL · 2012-13 · 0.43 PPG
→ RPI (0.24 D1 FR PPG)
0.26 Developing
NCAAe PPG
Landon Smith
USHL · 2012-13 · 0.39 PPG
→ Quinnipiac (0.79 D1 FR PPG)
0.23 Strong
NCAAe PPG
Logan Nelson
WHL · 2012-13 · 0.88 PPG
→ Wisconsin-Stout (0.59 D1 FR PPG)
0.41 Strong
NCAAe PPG
Kevin Irwin
USHL · 2012-13 · 0.56 PPG
→ Vermont (0.47 D1 FR PPG)
0.33 Average
NCAAe PPG

D2/3 Comparables

Alessio Luciani
Adrian · 2017-18
1.103 Elite
actual D2/3 PPG
Tyler Miller
St. Scholastica · 2007-08
0.852 Strong
actual D2/3 PPG
Tyler Ramm
SUNY Plattsburgh · 2022-23
0.588 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.