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Riley Hill Elite Prospects ↗

Position: Defense DOB: ⚠ Missing — add in admin 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
2021-22 Alaska All Stars 16U AAA 16U-AAA-W 39 1 8 9 0.231 0.1035 0.1035 — —
■ 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 Alvernia D3 UCHC JR 23 3 5 8 0.348
2024-25 Alvernia D3 UCHC — 22 8 6 14 0.636
2023-24 Alvernia D3 UCHC — 23 3 2 5 0.217
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.10
before college
→
Actual FR PPG
0.22
2023-24 · Alvernia
+122.1% vs. projection

College Pathway Likelihood (based on 40 comparables)

10%
NCAA D1
0%
NCAA D2/D3
90%
Club / Other

NCAAe Rankings

#3088
Defenseman overall
#280
in 16U-AAA-W

D1 Comparables

Andrea Olson
USHS-MN-W · 2012-13 · 0.58 PPG
→ Merrimack (0.06 D1 FR PPG)
0.09 Developing 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 State (0.18 D1 FR PPG)
0.10 Average D
NCAAe PPG
Mckenzie Revering
USHS-MN-W · 2012-13 · 0.56 PPG
→ Minnesota Duluth (0.06 D1 FR PPG)
0.09 Developing D
NCAAe PPG
McKenna Wesloh
USHS-MN-W · 2012-13 · 0.56 PPG
→ Ohio State (0.27 D1 FR PPG)
0.09 Average D
NCAAe PPG

D2/3 Comparables

Kayson Ruegge
Plattsburgh · 2022-23
0.500 Average
actual D2/3 PPG
Macy Peterson
Post · 2022-23
0.194 Developing
actual D2/3 PPG
Audrey McClurg
Concordia · 2024-25
0.000 No data
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.