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Hayley Hunter Elite Prospects ↗

Position: Forward 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 NAHA White 19U AAA 19U-AAA-W 79 2 13 15 0.190 0.0647 0.0647 — —
■ 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 SUNY Cortland D3 SUNYAC SR 27 2 2 4 0.148
2024-25 SUNY Cortland D3 SUNYAC — 21 0 0 0 0.000
2023-24 SUNY Cortland D3 SUNYAC — 25 2 4 6 0.240
2022-23 SUNY Cortland D3 SUNYAC — 11 4 0 4 0.364
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.06
before college
→
Actual FR PPG
0.36
2022-23 · SUNY Cortland
+556.3% vs. projection

College Pathway Likelihood (based on 40 comparables)

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

NCAAe Rankings

#10574
Forward overall
#527
in 19U-AAA-W

D1 Comparables

Sierra Smith
USHS-MN-W · 2012-13 · 0.40 PPG
→ Minnesota
0.06 No data
NCAAe PPG
Taylor Heise
USHS-MN-W · 2012-13 · 0.36 PPG
→ Minnesota (0.90 D1 FR PPG)
0.06 Elite
NCAAe PPG
Laura Anderson
USHS-MN-W · 2012-13 · 0.34 PPG
→ Yale (0.29 D1 FR PPG)
0.06 Developing
NCAAe PPG
Presley Norby
USHS-MN-W · 2012-13 · 0.33 PPG
→ Wisconsin (0.53 D1 FR PPG)
0.05 Average
NCAAe PPG
Mallorie Iozzo
USHS-MN-W · 2012-13 · 0.50 PPG
→ Minnesota Duluth (0.07 D1 FR PPG)
0.08 Developing
NCAAe PPG

D2/3 Comparables

Izzy Friedman
William Smith · 2016-17
0.222 Developing
actual D2/3 PPG
Zahn Thompson
St. Scholastica · 2010-11
0.200 Developing
actual D2/3 PPG
Macy Peterson
Post · 2022-23
0.194 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.