IcePath icepath.io · Hockey Analytics
← New Search ↗ Social Card

Avery Norman Elite Prospects ↗

Position: Forward DOB: ⚠ Missing — add in admin 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 Nepean Wildcats OWHL-U22 27 10 11 21 0.778 0.2719 0.2719 — —
2022-23 Nepean Wildcats OWHL-U22 43 11 9 20 0.465 0.1626 0.1626 — —
2023-24 Nepean Wildcats OWHL-U22 43 13 12 25 0.581 0.2033 0.2033 — —
■ 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 Mercyhurst D1 CHA-W — 14 0 4 4 0.286
2024-25 Mercyhurst D1 CHA-W — 34 1 1 2 0.059
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.16
before college
→
Actual FR PPG
0.06
2024-25 · Mercyhurst
-63.3% vs. projection

College Pathway Likelihood (based on 40 comparables)

10%
NCAA D1
0%
NCAA D2/D3
90%
Club / Other

NCAAe Rankings

#3775
Forward overall
#202
in OWHL-U22

D1 Comparables

Sydney Brodt
USHS-MN-W · 2012-13 · 1.32 PPG
→ Minnesota Duluth (0.60 D1 FR PPG)
0.21 Strong
NCAAe PPG
Natalie Snodgrass
USHS-MN-W · 2012-13 · 1.20 PPG
→ UConn (1.00 D1 FR PPG)
0.19 Elite
NCAAe PPG
Sena Hanson
USHS-MN-W · 2012-13 · 1.36 PPG
→ Brown (0.63 D1 FR PPG)
0.22 Strong
NCAAe PPG
Savannah Quandt
USHS-MN-W · 2012-13 · 1.36 PPG
→ Minnesota (0.11 D1 FR PPG)
0.22 Developing
NCAAe PPG
Madison Woo
USHS-MN-W · 2012-13 · 1.36 PPG
→ Brown (0.52 D1 FR PPG)
0.20 Average
NCAAe PPG

D2/3 Comparables

Sydney Brodt
Minnesota Duluth ·
0.600 Average
actual D2/3 PPG
Natalie Snodgrass
UConn ·
1.000 Elite
actual D2/3 PPG
Sena Hanson
Brown ·
0.630 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.