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Ana Myers Elite Prospects ↗

Position: Forward DOB: ⚠ Missing — add in admin 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 Gentry Academy (women) USHS-MN-W 31 5 4 9 0.290 0.0438 0.0438 — —
2022-23 Gentry Academy (women) USHS-MN-W 29 8 6 14 0.483 0.0729 0.0729 — —
2023-24 Gentry Academy (women) USHS-MN-W 26 24 9 33 1.269 0.1916 0.1916 — —
■ 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 MIAC SO 25 16 10 26 1.040
2024-25 St. Catherine D3 MIAC — 25 19 3 22 0.880
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.12
before college
→
Actual FR PPG
0.88
2024-25 · St. Catherine
+613.1% vs. projection

College Pathway Likelihood (based on 40 comparables)

8%
NCAA D1
0%
NCAA D2/D3
92%
Club / Other

NCAAe Rankings

#6540
Forward overall
#1546
in USHS-MN-W

D1 Comparables

Sydney Brodt
USHS-MN-W · 2012-13 · 1.32 PPG
→ Minnesota Duluth (0.60 D1 FR PPG)
0.21 Strong
NCAAe PPG
Jackie Pieper
USHS-MN-W · 2013-14 · 1.32 PPG
→ Merrimack (0.32 D1 FR PPG)
0.21 Developing
NCAAe PPG
Natalie Snodgrass
USHS-MN-W · 2012-13 · 1.20 PPG
→ UConn (1.00 D1 FR PPG)
0.19 Elite
NCAAe PPG
Molly Strabley
NE-Prep-Girls · 2012-13 · 0.48 PPG
→ Princeton (0.10 D1 FR PPG)
0.22 Developing
NCAAe PPG
Sena Hanson
USHS-MN-W · 2012-13 · 1.36 PPG
→ Brown (0.63 D1 FR PPG)
0.22 Strong
NCAAe PPG

D2/3 Comparables

Megan Dulong
Wisconsin-Superior · 2014-15
0.407 Average
actual D2/3 PPG
Courtney Moser
Saint Mary's (MN) · 2014-15
0.560 Average
actual D2/3 PPG
Paige Hanson
Concordia · 2018-19
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.