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Anna Solheim Elite Prospects ↗

Position: Forward DOB: 1999-09-19 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
2014-15 Mounds View High (women) USHS-MN-W 25 2 3 5 0.200 0.0321 0.0321 — —
2015-16 Mounds View High (women) USHS-MN-W 25 1 2 3 0.120 0.0193 0.0193 — —
2016-17 Mounds View High (women) USHS-MN-W 24 3 9 12 0.500 0.0803 0.0803 — —
2017-18 Mounds View High (women) USHS-MN-W 25 11 5 16 0.640 0.1028 0.1028 — —
■ 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
2022-23 St. Thomas D1 CHA-W SR 36 4 8 12 0.333
2021-22 St. Thomas D1 CHA-W SR 33 2 8 10 0.303
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.08
before college
→
Actual FR PPG
0.30
2021-22 · St. Thomas
+277.3% vs. projection

College Pathway Likelihood (based on 40 comparables)

2%
NCAA D1
0%
NCAA D2/D3
98%
Club / Other

NCAAe Rankings

#9511
Forward overall
#326
Forward born in 1999
#3061
in USHS-MN-W

D1 Comparables

Mac Johnson
USHS-MN-W · 2012-13 · 0.64 PPG
→ St. Cloud State (0.12 D1 FR PPG)
0.10 Developing
NCAAe PPG
Abby Halluska
USHS-MN-W · 2012-13 · 0.64 PPG
→ Bemidji State (0.31 D1 FR PPG)
0.10 Developing
NCAAe PPG
Rebecca Freiburger
USHS-MN-W · 2012-13 · 0.64 PPG
→ Ohio State (0.28 D1 FR PPG)
0.10 Developing
NCAAe PPG
Sophia Kunin
USHS-MN-W · 2012-13 · 0.64 PPG
→ Wisconsin (0.42 D1 FR PPG)
0.10 Average
NCAAe PPG
Jacqueline Kaasa
USHS-MN-W · 2012-13 · 0.64 PPG
→ Bemidji State (0.14 D1 FR PPG)
0.10 Developing
NCAAe PPG

D2/3 Comparables

Mac Johnson
St. Cloud State ·
0.125 Developing
actual D2/3 PPG
Abby Halluska
Bemidji State ·
0.314 Developing
actual D2/3 PPG
Rebecca Freiburger
Ohio State ·
0.278 Developing
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.