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Sadie Makokis Elite Prospects ↗

Position: Defense DOB: 2005-04-20 Country: Canada
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
2019-20 Northern Alberta Xtreme U18 CSSHL-U18W 24 0 4 4 0.167 0.0382 0.0382 — —
2022-23 Etobicoke Dolphins OWHL-U22 38 4 7 11 0.289 0.1012 0.1012 — —
■ 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 New Hampshire D1 HEA-W JR 32 3 14 17 0.531
2024-25 New Hampshire D1 HEA-W SO 32 2 6 8 0.250
2023-24 New Hampshire D1 HEA-W FR 36 1 2 3 0.083
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.10
before college
→
Actual FR PPG
0.08
2023-24 · New Hampshire
-12.8% vs. projection

College Pathway Likelihood (based on 40 comparables)

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

NCAAe Rankings

#3758
Defenseman overall
#406
Defenseman born in 2005

D1 Comparables

Cheyenne Harris
USHS-MN-W · 2012-13 · 0.64 PPG
→ Union (0.32 D1 FR PPG)
0.10 Strong D
NCAAe PPG
Taylor Turnquist
USHS-MN-W · 2012-13 · 0.64 PPG
→ Clarkson (0.17 D1 FR PPG)
0.10 Average D
NCAAe PPG
Amanda Kimmerle
USHS-MN-W · 2012-13 · 0.60 PPG
→ RPI (0.06 D1 FR PPG)
0.10 Developing D
NCAAe PPG
Megan Hinze
USHS-MN-W · 2012-13 · 0.60 PPG
→ Minnesota (0.18 D1 FR PPG)
0.10 Average D
NCAAe PPG
Andrea Olson
USHS-MN-W · 2012-13 · 0.58 PPG
→ Merrimack (0.06 D1 FR PPG)
0.09 Developing D
NCAAe PPG

D2/3 Comparables

Cheyenne Harris
Union ·
0.324 Average D
actual D2/3 PPG
Taylor Turnquist
Clarkson ·
0.171 Developing D
actual D2/3 PPG
Amanda Kimmerle
RPI ·
0.059 Developing D
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.