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Lexi Stanat Elite Prospects ↗

Position: Defense DOB: 2006-01-04 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
2021-22 London Devilettes OWHL-U22 0 0 0 0 0.000 — — — —
2022-23 London Devilettes OWHL-U22 20 0 2 2 0.100 0.0350 0.0350 — —
2023-24 London Devilettes OWHL-U22 27 2 3 5 0.185 0.0647 0.0647 — —
2024-25 Burlington Barracudas AA 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 Mercyhurst D1 CHA-W — 10 0 2 2 0.200
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.08
before college
→
Actual FR PPG
0.20
2025-26 · Mercyhurst
+144.5% vs. projection

College Pathway Likelihood (based on 40 comparables)

8%
NCAA D1
10%
NCAA D2/D3
82%
Club / Other

NCAAe Rankings

#3795
Defenseman overall
#459
Defenseman born in 2006
#696
in OWHL-U22

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.