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Madison Morton Elite Prospects ↗

Position: Defense DOB: 2001-09-26 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 The Hill School USHS-W 29 5 24 29 1.000 0.3007 0.3007 — —
2019-20 The Hill School USHS-W 26 7 16 23 0.885 0.2660 0.2660 — —
■ 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 Franklin Pierce D1 NEWHA — 8 0 2 2 0.250
2023-24 Elmira D3 UCHC SR 32 4 14 18 0.562
2022-23 Elmira D3 UCHC JR 27 4 14 18 0.667
2021-22 Elmira D3 UCHC SO 30 4 15 19 0.633
2020-21 Elmira D3 UCHC FR 14 2 12 14 1.000
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.28
before college
→
Actual FR PPG
1.00
2020-21 · Elmira
+252.2% vs. projection

College Pathway Likelihood (based on 40 comparables)

15%
NCAA D1
0%
NCAA D2/D3
85%
Club / Other

NCAAe Rankings

#453
Defenseman overall
#99
Defenseman born in 2001
#895
in USHS-W

D1 Comparables

Anna Kilponen
SMLIIGA-W · 2012-13 · 0.79 PPG
→ North Dakota (0.26 D1 FR PPG)
0.30 Average D
NCAAe PPG
Lauren Kelly
NE-Prep-Girls · 2012-13 · 0.73 PPG
→ Dartmouth (0.21 D1 FR PPG)
0.33 Average D
NCAAe PPG
Taylor Marchin
NE-Prep-Girls · 2012-13 · 0.77 PPG
→ Yale (0.21 D1 FR PPG)
0.35 Average D
NCAAe PPG
Dani Sadek
USHS-MN-W · 2012-13 · 1.46 PPG
→ Ohio State (0.61 D1 FR PPG)
0.23 Elite D
NCAAe PPG
Christa Vuglar
USHS-W · 2013-14 · 1.00 PPG
→ RIT (0.21 D1 FR PPG)
0.26 Average D
NCAAe PPG

D2/3 Comparables

Mollie Koch
Saint Mary's · 2021-22
0.000 No data
actual D2/3 PPG
Alex Grubbs
Wisconsin-Stevens Point · 2013-14
0.370 Average
actual D2/3 PPG
Delaney Calabrese
Saint Mary's · 2014-15
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.