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Simon Gravel Elite Prospects ↗

Position: Forward DOB: 1999-04-10 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 Brooks Bandits AJHL 55 33 34 67 1.218 0.4086 0.3939 1.1273 1.0867
■ 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
2022-23 Canisius D1 AHA SR 31 5 8 13 0.419
2021-22 Canisius D1 AHA JR 31 3 5 8 0.258
2020-21 Canisius D1 AHA SO 13 5 4 9 0.692
2019-20 Canisius D1 AHA FR 10 3 2 5 0.500
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.34
before college
→
Actual FR PPG
0.50
2019-20 · Canisius
+48.3% vs. projection

College Pathway Likelihood (based on 40 comparables)

42%
NCAA D1
2%
NCAA D2/D3
15%
Age-Out / Club
40%
Pro / Other

NCAAe Rankings

#9123
Forward overall
#401
Forward born in 1999
#92
in AJHL

D1 Comparables

Jared Linnell
USHL · 2012-13 · 0.72 PPG
→ Alaska Fairbanks (0.20 D1 FR PPG)
0.40 Developing
NCAAe PPG
Phil Marinaccio
USHL · 2012-13 · 0.77 PPG
→ Bemidji State (0.31 D1 FR PPG)
0.43 Developing
NCAAe PPG
Charlie O'Connor
USHL · 2012-13 · 0.64 PPG
→ Bemidji State (0.10 D1 FR PPG)
0.36 Developing
NCAAe PPG
Tyler Heinonen
USHL · 2012-13 · 0.74 PPG
→ Michigan Tech (0.21 D1 FR PPG)
0.41 Developing
NCAAe PPG
Robbie Payne
NAHL · 2012-13 · 1.12 PPG
→ Northern Michigan (0.29 D1 FR PPG)
0.41 Developing
NCAAe PPG

D2/3 Comparables

Nick Catanzaro
SUNY Cortland · 2002-03
0.958 Strong
actual D2/3 PPG
Danny Liscio
SUNY Morrisville · 2013-14
1.083 Elite
actual D2/3 PPG
Nick Marinac
SUNY Brockport · 2011-12
0.905 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.