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Grace Karakas Elite Prospects ↗

Position: Forward DOB: 2005-11-06 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
2020-21 Duluth High (W) USHS-MN-W 16 1 3 4 0.250 0.0377 0.0377 — —
2021-22 Duluth High (W) USHS-MN-W 23 8 9 17 0.739 0.1116 0.1116 — —
2022-23 Duluth High (W) USHS-MN-W 26 18 5 23 0.885 0.1336 0.1256 — —
2023-24 Duluth High (W) USHS-MN-W 26 20 16 36 1.385 0.2091 0.1878 — —
■ 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 SUNY Cortland D3 SUNYAC SO 28 4 9 13 0.464
2024-25 SUNY Cortland D3 — — 24 5 5 10 0.417
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.14
before college
→
Actual FR PPG
0.42
2024-25 · SUNY Cortland
+198.7% vs. projection

College Pathway Likelihood (based on 40 comparables)

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

NCAAe Rankings

#4745
Forward overall
#192
Forward born in 2005
#872
in USHS-MN-W

D1 Comparables

Natalie Snodgrass
USHS-MN-W · 2012-13 · 1.20 PPG
→ UConn (1.00 D1 FR PPG)
0.18 Elite
NCAAe PPG
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

D2/3 Comparables

Natalie Snodgrass
UConn ·
1.000 Elite
actual D2/3 PPG
Sydney Brodt
Minnesota Duluth ·
0.600 Average
actual D2/3 PPG
Jackie Pieper
Merrimack ·
0.324 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.