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Kylie Aquaro Elite Prospects ↗

Position: Forward DOB: 2003-04-14 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
2018-19 Philadelphia Jr Flyers 16U JWHL-U16 23 21 18 39 1.696 0.3229 0.3229 — —
2019-20 Philadelphia Jr Flyers 16U JWHL-U16 28 19 23 42 1.500 0.2856 0.2856 — —
■ 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
2024-25 RIT D1 CHA-W SR 37 10 20 30 0.811
2023-24 RIT D1 CHA-W JR 34 10 16 26 0.765
2022-23 RIT D1 CHA-W SO 28 1 11 12 0.429
2021-22 RIT D1 CHA-W FR 31 4 7 11 0.355
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.28
before college
→
Actual FR PPG
0.35
2021-22 · RIT
+28.4% vs. projection

College Pathway Likelihood (based on 1 comparables)

0%
NCAA D1
0%
NCAA D2/D3
100%
Club / Other

NCAAe Rankings

#2061
Forward overall
#70
Forward born in 2003
#10
in JWHL-U16

D1 Comparables

Emily Bergland
USHS-MN-W · 2013-14 · 2.04 PPG
→ Bemidji State (0.11 D1 FR PPG)
0.33 Developing
NCAAe PPG
Lindsay Roethke
USHS-MN-W · 2012-13 · 1.96 PPG
→ UConn (0.03 D1 FR PPG)
0.31 Developing
NCAAe PPG
Rebecca Lindblad
USHS-W · 2012-13 · 1.08 PPG
→ UConn (0.06 D1 FR PPG)
0.31 Developing
NCAAe PPG
Catherine Skaja
USHS-MN-W · 2012-13 · 2.08 PPG
→ Minnesota (0.34 D1 FR PPG)
0.33 Developing
NCAAe PPG
Rebekah Kolstad
USHS-MN-W · 2012-13 · 2.09 PPG
→ North Dakota (0.06 D1 FR PPG)
0.34 Developing
NCAAe PPG

D2/3 Comparables

Emily Bergland
Bemidji State ·
0.114 Developing
actual D2/3 PPG
Lindsay Roethke
UConn ·
0.027 Developing
actual D2/3 PPG
Rebecca Lindblad
UConn ·
0.057 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.