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Payton Miller Elite Prospects ↗

Position: Forward DOB: 2003-09-03 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 Connecticut Jr. Rangers USPHL-Premier 32 8 13 21 0.656 0.0740 0.0776 0.2232 0.2341
2022-23 Connecticut Jr. Rangers NCDC 45 7 14 21 0.467 0.1079 0.1095 0.3774 0.3829
2023-24 — NAHL 52 6 7 13 0.250 0.0888 0.0855 0.2625 0.2528
■ 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 Endicott D3 CNE — 21 4 6 10 0.476
2024-25 Endicott D3 CNE — 9 2 2 4 0.444
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.08
before college
→
Actual FR PPG
0.44
2024-25 · Endicott
+445.9% vs. projection

College Pathway Likelihood (based on 40 comparables)

12%
NCAA D1
32%
NCAA D2/D3
48%
Age-Out / Club
5%
Pro / Other

NCAAe Rankings

#31838
Forward overall
#1902
Forward born in 2003

D1 Comparables

Woody Hudson
USHL · 2012-13 · 0.43 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.23 Developing
NCAAe PPG
Eli Lichtenwald
USHL · 2012-13 · 0.36 PPG
→ Union (0.68 D1 FR PPG)
0.19 Strong
NCAAe PPG
Cullen Hurley
USHL · 2012-13 · 0.38 PPG
→ Wisconsin
0.21 No data
NCAAe PPG
Ali Thomas
USHL · 2012-13 · 0.34 PPG
→ Notre Dame (0.18 D1 FR PPG)
0.18 Developing
NCAAe PPG
Tayler Munson
USHL · 2012-13 · 0.31 PPG
→ Alaska Fairbanks (0.35 D1 FR PPG)
0.17 Average
NCAAe PPG

D2/3 Comparables

Tyler Antonucci
SUNY Oswego · 2017-18
0.000 No data
actual D2/3 PPG
Mike Egan
SUNY Cortland · 2017-18
0.292 Developing
actual D2/3 PPG
Peter Fylling
St. Norbert · 2005-06
0.467 Average
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.