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Shannon Pearson Elite Prospects ↗

Position: Forward DOB: 2007-03-27 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
2022-23 Calgary Edge School U18 Prep CSSHL-U18W 30 18 13 31 1.033 0.2367 0.2367 — —
2023-24 Calgary Edge School U18 Prep CSSHL-U18W 30 25 20 45 1.500 0.3437 0.3437 — —
2024-25 Barrie Sharks OWHL-U22 40 18 9 27 0.675 0.2360 0.2360 — —
■ 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 Cornell D1 ECAC-W — 32 4 0 4 0.125
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.24
before college
→
Actual FR PPG
0.12
2025-26 · Cornell
-47.7% vs. projection

College Pathway Likelihood (based on 40 comparables)

10%
NCAA D1
10%
NCAA D2/D3
80%
Club / Other

NCAAe Rankings

#2477
Forward overall
#67
Forward born in 2007

D1 Comparables

Sara Hjalmarsson
SDHL · 2012-13 · 0.20 PPG
→ Providence (0.66 D1 FR PPG)
0.23 Strong
NCAAe PPG
Danielle Marmer
19U-AAA-W · 2012-13 · 0.70 PPG
→ Quinnipiac (0.11 D1 FR PPG)
0.24 Developing
NCAAe PPG
Sydney Brodt
USHS-MN-W · 2013-14 · 1.54 PPG
→ Minnesota Duluth (0.60 D1 FR PPG)
0.25 Strong
NCAAe PPG
Mariah Gardner
USHS-MN-W · 2012-13 · 1.40 PPG
→ Minnesota (0.07 D1 FR PPG)
0.22 Developing
NCAAe PPG
Brooklynn Schugel
USHS-MN-W · 2012-13 · 1.54 PPG
→ Minnesota Duluth (0.27 D1 FR PPG)
0.25 Developing
NCAAe PPG

D2/3 Comparables

Sara Hjalmarsson
Providence ·
0.657 Strong
actual D2/3 PPG
Danielle Marmer
Quinnipiac ·
0.108 Developing
actual D2/3 PPG
Sydney Brodt
Minnesota Duluth ·
0.600 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.