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Riley Murphy Elite Prospects ↗

Position: Forward DOB: 1999-10-29 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
2016-17 Aberdeen Wings NAHL 49 8 6 14 0.286 0.1050 0.1165 0.3016 0.3346
2017-18 Aberdeen Wings NAHL 54 7 10 17 0.315 0.1157 0.1227 0.3323 0.3523
2018-19 Aberdeen Wings NAHL 58 19 22 41 0.707 0.2597 0.2637 0.7461 0.7576
2019-20 Aberdeen Wings NAHL 51 15 23 38 0.745 0.2737 0.2737 0.7865 0.7865
■ 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 Adrian D3 NCHA — 25 5 11 16 0.640
2023-24 Adrian D3 NCHA — 20 13 6 19 0.950
2022-23 Adrian D3 NCHA — 29 17 10 27 0.931
2021-22 Alaska Fairbanks D1 WCHA — 16 0 2 2 0.125
2020-21 Alaska Fairbanks D1 WCHA — 0 0 0 0 0.000

College Pathway Likelihood (based on 40 comparables)

50%
NCAA D1
2%
NCAA D2/D3
12%
Age-Out / Club
35%
Pro / Other

NCAAe Rankings

#20764
Forward overall
#1030
Forward born in 1999
#1422
in NAHL

D1 Comparables

Landon Smith
USHL · 2012-13 · 0.39 PPG
→ Quinnipiac (0.79 D1 FR PPG)
0.22 Strong
NCAAe PPG
A.J. Fossen
USHL · 2012-13 · 0.55 PPG
→ Clarkson (0.32 D1 FR PPG)
0.31 Developing
NCAAe PPG
Grant Opperman
USHL · 2012-13 · 0.56 PPG
→ Dartmouth (0.61 D1 FR PPG)
0.32 Strong
NCAAe PPG
Dylan Gareau
USHL · 2012-13 · 0.34 PPG
→ Clarkson (0.14 D1 FR PPG)
0.20 Developing
NCAAe PPG
Kenny Gillespie
USHL · 2012-13 · 0.37 PPG
→ RPI (0.20 D1 FR PPG)
0.21 Developing
NCAAe PPG

D2/3 Comparables

Jake Stevens
Middlebury · 2024-25
0.667 Strong
actual D2/3 PPG
Artem Buzoberya
Hobart · 2018-19
0.000 No data
actual D2/3 PPG
Caleb Anderson
Gustavus Adolphus · 2016-17
0.556 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.