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Kaileigh Quigg Elite Prospects ↗

Position: Forward DOB: 2006-03-16 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 Durham West Jr. Lightning OWHL-U22 2 1 0 1 0.500 0.1748 0.1748 — —
2022-23 Durham West Jr. Lightning OWHL-U22 37 15 16 31 0.838 0.2929 0.2929 — —
2023-24 Durham West Jr. Lightning OWHL-U22 29 13 15 28 0.966 0.3375 0.3375 — —
■ 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 Boston University D1 HEA-W SO 34 4 8 12 0.353
2024-25 Boston University D1 HEA-W FR 38 4 4 8 0.210
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.27
before college
→
Actual FR PPG
0.21
2024-25 · Boston University
-23.1% vs. projection

College Pathway Likelihood (based on 40 comparables)

25%
NCAA D1
2%
NCAA D2/D3
72%
Club / Other

NCAAe Rankings

#1835
Forward overall
#68
Forward born in 2006
#71
in OWHL-U22

D1 Comparables

Rebekah Kolstad
USHS-MN-W · 2012-13 · 2.09 PPG
→ North Dakota (0.06 D1 FR PPG)
0.34 Developing
NCAAe PPG
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
Catherine Skaja
USHS-MN-W · 2012-13 · 2.08 PPG
→ Minnesota (0.34 D1 FR PPG)
0.33 Developing
NCAAe PPG
Taylor Williamson
USHS-MN-W · 2013-14 · 2.14 PPG
→ Minnesota (0.40 D1 FR PPG)
0.34 Average
NCAAe PPG

D2/3 Comparables

Rebekah Kolstad
North Dakota ·
0.057 Developing
actual D2/3 PPG
Sylvia Marolt
Bemidji State ·
0.000 No data
actual D2/3 PPG
Demi Gardner
Minnesota ·
0.250 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.