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Riley Zupfer Elite Prospects ↗

Position: Forward DOB: 2008-12-17 Country: USA
Notre Dame
BigTen D1

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
2022-23 Hill-Murray USHS-MN 20 7 7 14 0.700 0.0886 0.0886 0.1700 0.1700
2023-24 Hill-Murray USHS-MN 27 4 17 21 0.778 0.0985 0.0985 0.1889 0.1889
2024-25 Hill-Murray USHS-MN 28 20 34 54 1.929 0.2442 0.2442 0.4685 0.4685
2025-26 Des Moines Buccaneers USHL 58 16 25 41 0.707 0.4170 0.4514 2.1231 2.2984
■ Blue = NCAAe (D1 anchor)   ■ Green = D3e (D3 anchor)   COVID-flagged seasons highlighted in yellow

College Pathway Likelihood (based on 40 comparables)

80%
NCAA D1
0%
NCAA D2/D3
2%
Age-Out / Club
18%
Pro / Other

NCAAe Rankings

#8774
Forward overall
#80
Forward born in 2008

D1 Comparables

Patrick Newell
USHL · 2012-13 · 0.75 PPG
→ St. Cloud State (0.59 D1 FR PPG)
0.48 Strong
NCAAe PPG
Austin Poganski
NTDP-U18 · 2012-13 · 0.64 PPG
→ North Dakota (0.37 D1 FR PPG)
0.48 Average
NCAAe PPG
Nick Schmaltz
USHL · 2012-13 · 0.81 PPG
→ North Dakota (0.68 D1 FR PPG)
0.52 Strong
NCAAe PPG
Connor Hurley
USHL · 2012-13 · 0.73 PPG
→ Notre Dame (0.34 D1 FR PPG)
0.46 Developing
NCAAe PPG
Karson Kuhlman
USHL · 2012-13 · 0.56 PPG
→ Minnesota Duluth (0.45 D1 FR PPG)
0.35 Average
NCAAe PPG

Notre Dame Alumni similar profiles who attended this school

Ryder Rolston
USHL 2018-19
0.21
actual FR PPG at Notre Dame
Trevor Janicke
USHL 2017-18
0.35
actual FR PPG at Notre Dame
Cam Burke
USPHL-Premier-Classic 2015-16
0.16
actual FR PPG at Notre Dame
Charles Pardue
NTDP-U18 2022-23
0.00
actual FR PPG at Notre Dame

D2/3 Comparables

Ryan Reifler
Elmira · 2016-17
1.067 Elite
actual D2/3 PPG
Luke Aquaro
Hobart · 2016-17
1.231 Elite
actual D2/3 PPG
Tyler Barrow
Wilkes · 2016-17
1.385 Elite
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.