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Michelle Smith Elite Prospects ↗

Position: Forward DOB: 2005-12-18 Country: USA
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 New Ulm High (W) USHS-MN-W 26 9 11 20 0.769 0.1161 0.1161 — —
2022-23 New Ulm High (W) USHS-MN-W 27 20 7 27 1.000 0.1510 0.1428 — —
2023-24 New Ulm High (W) USHS-MN-W 27 21 18 39 1.444 0.2181 0.1971 — —
■ 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 St. Catherine D3 — — 22 3 5 8 0.364
2024-25 St. Catherine D3 — — 23 2 1 3 0.130
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.15
before college
→
Actual FR PPG
0.13
2024-25 · St. Catherine
-13.4% vs. projection

College Pathway Likelihood (based on 40 comparables)

5%
NCAA D1
0%
NCAA D2/D3
95%
Club / Other

NCAAe Rankings

#4404
Forward overall
#174
Forward born in 2005
#762
in USHS-MN-W

D1 Comparables

Sydney Brodt
USHS-MN-W · 2012-13 · 1.32 PPG
→ Minnesota Duluth (0.60 D1 FR PPG)
0.20 Strong
NCAAe PPG
Jackie Pieper
USHS-MN-W · 2013-14 · 1.32 PPG
→ Merrimack (0.32 D1 FR PPG)
0.20 Developing
NCAAe PPG
Sena Hanson
USHS-MN-W · 2012-13 · 1.36 PPG
→ Brown (0.63 D1 FR PPG)
0.21 Strong
NCAAe PPG
Savannah Quandt
USHS-MN-W · 2012-13 · 1.36 PPG
→ Minnesota (0.11 D1 FR PPG)
0.21 Developing
NCAAe PPG
Mariah Gardner
USHS-MN-W · 2012-13 · 1.40 PPG
→ Minnesota State (0.07 D1 FR PPG)
0.21 Developing
NCAAe PPG

D2/3 Comparables

Sydney Brodt
Minnesota Duluth ·
0.600 Average
actual D2/3 PPG
Jackie Pieper
Merrimack ·
0.324 Developing
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.