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Riley Doyon Elite Prospects ↗

Position: Forward DOB: 1998-01-15 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 Johnstown Tomahawks NAHL 28 4 8 12 0.429 0.1522 0.1553 0.4500 0.4591
2017-18 — NAHL 49 3 9 12 0.245 0.0870 0.0845 0.2571 0.2496
■ 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
2021-22 Aurora D3 NCHA SR 26 10 6 16 0.615
2020-21 Aurora D1 — JR 11 4 4 8 0.727
2020-21 Aurora D3 NCHA JR 11 4 4 8 0.727
2019-20 Aurora D1 — SO 24 13 12 25 1.042
2019-20 Aurora D3 NCHA SO 24 13 12 25 1.042
2018-19 Aurora D1 — FR 27 7 5 12 0.444
2018-19 Aurora D3 NCHA FR 27 7 5 12 0.444
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.10
before college
→
Actual FR PPG
0.44
2018-19 · Aurora
+360.0% vs. projection

College Pathway Likelihood (based on 40 comparables)

22%
NCAA D1
2%
NCAA D2/D3
18%
Age-Out / Club
57%
Pro / Other

NCAAe Rankings

#41027
Forward overall
#2153
Forward born in 1998
#4376
in NAHL

D1 Comparables

Tayler Munson
USHL · 2012-13 · 0.31 PPG
→ Alaska Fairbanks (0.35 D1 FR PPG)
0.17 Average
NCAAe PPG
Cullen Hurley
USHL · 2012-13 · 0.38 PPG
→ Wisconsin
0.21 No data
NCAAe PPG
Stanislav Dzakhov
USHL · 2012-13 · 0.27 PPG
→ Niagara (0.44 D1 FR PPG)
0.15 Average
NCAAe PPG
Alexander Dahl
USHL · 2012-13 · 0.38 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.21 Developing
NCAAe PPG
Ben Ostlie
USHL · 2012-13 · 0.23 PPG
→ Notre Dame
0.13 No data
NCAAe PPG

D2/3 Comparables

Andrew Andary
Saint Anselm · 2018-19
0.500 Average
actual D2/3 PPG
Alex Rowella
Manhattanville · 2016-17
0.323 Developing
actual D2/3 PPG
Dylan Howatt
SUNY Brockport · 2013-14
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.