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Riley Rosenthal Elite Prospects ↗

Position: Defense DOB: 2003-12-10 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
2020-21 Dubuque Fighting Saints USHL 42 0 3 3 0.071 0.0421 0.0421 0.2138 0.2138
2021-22 — USHL 54 2 7 9 0.167 0.0983 0.1015 0.4991 0.5153
2022-23 Omaha Lancers USHL 26 1 3 4 0.154 0.0907 0.0889 0.4604 0.4514
2023-24 Odessa Jackalopes NAHL 48 3 13 16 0.333 0.1184 0.1156 0.3516 0.3433
■ 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 Colby D3 NESCAC SO 21 1 5 6 0.286
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.10
before college
→
Actual FR PPG
0.29
2025-26 · Colby
+188.6% vs. projection

College Pathway Likelihood (based on 40 comparables)

32%
NCAA D1
22%
NCAA D2/D3
40%
Age-Out / Club
2%
Pro / Other

NCAAe Rankings

#15070
Defenseman overall
#2824
Defenseman born in 2003

D1 Comparables

Patrick Koudys
USHL · 2012-13 · 0.23 PPG
→ RPI (0.10 D1 FR PPG)
0.13 Developing D
NCAAe PPG
Brandon Kirk
USHL · 2012-13 · 0.32 PPG
→ Dartmouth
0.18 No data
NCAAe PPG
Taki Pantziris
OHL · 2012-13 · 0.29 PPG
→ Brown
0.15 No data
NCAAe PPG
Kyle McKenzie
USHL · 2012-13 · 0.14 PPG
→ Providence (0.15 D1 FR PPG)
0.08 Average D
NCAAe PPG
Nolan Valleau
USHL · 2012-13 · 0.41 PPG
→ Bowling Green
0.23 No data
NCAAe PPG

D2/3 Comparables

David MacGregor
UMass Boston · 2014-15
0.419 Average
actual D2/3 PPG
Matt Whitehead
SUNY Oswego · 2004-05
0.333 Developing
actual D2/3 PPG
Matt Hanewall
Milwaukee School of Engineering · 2017-18
0.864 Strong
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.