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Hannah Miller Elite Prospects ↗

Position: Forward DOB: 1996-02-16 Country: Canada
Signed Professionally
Vancouver Goldeneyes · PWHL

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 KRS Shenzhen CWHL 21 10 5 15 0.714
2019-20 KRS Shenzhen CWHL 21 10 5 15 0.714
2020-21 KRS Shenzhen CWHL 21 10 5 15 0.714
2021-22 Djurgårdens IF SDHL 25 12 7 19 0.760 0.8778 0.7731
2022-23 KRS Shenzhen CWHL 21 10 5 15 0.714
2023-24 KRS Shenzhen CWHL 21 10 5 15 0.714
2024-25 Toronto Sceptres PWHL 29 10 14 24 0.828
2025-26 Vancouver Goldeneyes PWHL 30 7 11 18 0.600
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
2017-18 St. Lawrence D1 ECAC-W 32 13 26 39 1.219
2016-17 St. Lawrence D1 ECAC-W 36 15 33 48 1.333
2015-16 St. Lawrence D1 ECAC-W 36 11 14 25 0.694

College Pathway Likelihood (based on 21 comparables)

⭐ Elite profile — high probability of D1 placement; comparable to top-end prospects
5%
NCAA D1
0%
NCAA D2/D3
95%
Club / Other

NCAAe Rankings

#102
Forward overall
#8
Forward born in 1996
#10
in CWHL

D1 Comparables

USHS-W · 2012-13 · 2.61 PPG
→ RPI (0.03 D1 FR PPG)
0.76 Developing
NCAAe PPG
USHS-W · 2012-13 · 2.54 PPG
→ Mercyhurst (0.16 D1 FR PPG)
0.74 Developing
NCAAe PPG
USHS-W · 2013-14 · 2.50 PPG
→ St. Cloud State
0.73 No data
NCAAe PPG
USHS-MN-W · 2013-14 · 4.36 PPG
→ UConn (0.27 D1 FR PPG)
0.70 Developing
NCAAe PPG
USHS-W · 2012-13 · 2.93 PPG
→ Northeastern (0.17 D1 FR PPG)
0.85 Developing
NCAAe PPG

D2/3 Comparables

RPI ·
0.030 Developing
actual D2/3 PPG
Mercyhurst ·
0.156 Developing
actual D2/3 PPG
St. Cloud State ·
0.000 No data
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.