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Karianne Engelbert Elite Prospects ↗

Position: Forward DOB: ⚠ Missing — add in admin 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 Toronto Aeros U22 AA OWHL-U22 11 1 3 4 0.364 0.1271 0.1271 — —
2022-23 Durham West Jr. Lightning OWHL-U22 35 19 13 32 0.914 0.3196 0.3196 — —
2023-24 Durham West Jr. Lightning OWHL-U22 43 16 26 42 0.977 0.3415 0.3415 — —
■ 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 Union D1 ECAC-W — 34 15 16 31 0.912
2024-25 Union D1 ECAC-W — 37 15 9 24 0.649
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.28
before college
→
Actual FR PPG
0.65
2024-25 · Union
+127.7% vs. projection

College Pathway Likelihood (based on 40 comparables)

28%
NCAA D1
2%
NCAA D2/D3
70%
Club / Other

NCAAe Rankings

#2252
Forward overall
#87
in OWHL-U22

D1 Comparables

Sylvia Marolt
USHS-MN-W · 2012-13 · 2.12 PPG
→ Bemidji State
0.34 No data
NCAAe PPG
Demi Gardner
USHS-MN-W · 2012-13 · 2.12 PPG
→ Minnesota (0.25 D1 FR PPG)
0.34 Developing
NCAAe PPG
Taylor Williamson
USHS-MN-W · 2013-14 · 2.14 PPG
→ Minnesota (0.40 D1 FR PPG)
0.34 Average
NCAAe PPG
Haley Mack
USHS-MN-W · 2012-13 · 2.16 PPG
→ Bemidji State (0.37 D1 FR PPG)
0.35 Average
NCAAe PPG
Emily Bergland
USHS-MN-W · 2012-13 · 2.16 PPG
→ Bemidji State (0.11 D1 FR PPG)
0.35 Developing
NCAAe PPG

D2/3 Comparables

Sylvia Marolt
Bemidji State ·
0.000 No data
actual D2/3 PPG
Demi Gardner
Minnesota ·
0.250 Developing
actual D2/3 PPG
Taylor Williamson
Minnesota ·
0.395 Average
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.