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Riley Simpson Elite Prospects ↗

Position: Forward DOB: 1996-07-23 Country: Canada
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
2012-13 Spruce Grove Saints AJHL 10 2 3 5 0.500 0.1677 0.1901 0.4626 0.5243
2013-14 Spruce Grove Saints AJHL 30 9 7 16 0.533 0.1789 0.1935 0.4934 0.5336
2014-15 Spruce Grove Saints AJHL 60 16 23 39 0.650 0.2180 0.2242 0.6014 0.6185
2015-16 Spruce Grove Saints AJHL 47 20 29 49 1.043 0.3497 0.3433 0.9646 0.9471
■ 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
2018-19 Arizona State D1 NCHC — 0 0 0 0 0.000
2017-18 Arizona State D1 NCHC — 20 0 0 0 0.000
2016-17 Arizona State D1 NCHC — 26 1 6 7 0.269
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.25
before college
→
Actual FR PPG
0.27
2016-17 · Arizona State
+6.4% vs. projection

NCAAe Rankings

#19992
Forward overall
#793
Forward born in 1996
#438
in AJHL

D1 Comparables

Kevin Irwin
USHL · 2012-13 · 0.56 PPG
→ Vermont (0.47 D1 FR PPG)
0.32 Average
NCAAe PPG
Max McHugh
NAHL · 2012-13 · 0.88 PPG
→ Alabama-Huntsville (0.61 D1 FR PPG)
0.32 Strong
NCAAe PPG
Brett Skibba
NAHL · 2012-13 · 1.00 PPG
→ UConn (0.23 D1 FR PPG)
0.36 Developing
NCAAe PPG
Garret Clemment
NAHL · 2012-13 · 0.93 PPG
→ Lake Superior State (0.43 D1 FR PPG)
0.34 Average
NCAAe PPG
John Simonson
NAHL · 2012-13 · 0.97 PPG
→ North Dakota (0.23 D1 FR PPG)
0.35 Developing
NCAAe PPG

D2/3 Comparables

Chris Berry
Wisconsin-Superior · 2004-05
1.111 Elite
actual D2/3 PPG
Kris Heeres
SUNY Geneseo · 2000-01
1.042 Elite
actual D2/3 PPG
Travis Quigley
Southern New Hampshire · 2016-17
0.333 Developing
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.