IcePath icepath.io · Hockey Analytics
← New Search ↗ Social Card

Aaron Marvin Elite Prospects ↗

Position: Forward DOB: 1988-05-27 Country: USA
2006 · Round 3, Pick #89  ·  Calgary Flames Calgary Flames
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
2006-07 Tri-City Storm USHL 13 1 3 4 0.308 0.1815 0.1836 0.9241 0.9346
■ 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
2010-11 St. Cloud State D1 WCHA-orig SR 37 9 6 15 0.405
2009-10 St. Cloud State D1 NCHC JR 39 5 11 16 0.410
2008-09 St. Cloud State D1 NCHC SO 38 10 17 27 0.711
2007-08 St. Cloud State D1 NCHC FR 40 3 10 13 0.325
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.16
before college
→
Actual FR PPG
0.33
2007-08 · St. Cloud State
+106.7% vs. projection

NCAAe Rankings

#30110
Forward overall
#1031
Forward born in 1988
#2813
in USHL

D1 Comparables

Josh Nenadal
USHL · 2012-13 · 0.30 PPG
→ Lake Superior State (0.16 D1 FR PPG)
0.17 Developing
NCAAe PPG
Gage Torrel
USHL · 2012-13 · 0.31 PPG
→ Lake Superior State (0.50 D1 FR PPG)
0.18 Average
NCAAe PPG
Adam Johnson
USHL · 2012-13 · 0.33 PPG
→ Minnesota Duluth (0.46 D1 FR PPG)
0.20 Average
NCAAe PPG
Tyler Pham
USHL · 2012-13 · 0.39 PPG
→ Army (0.91 D1 FR PPG)
0.23 Elite
NCAAe PPG
Nikolas Olsson
USHL · 2012-13 · 0.39 PPG
→ Boston University (0.35 D1 FR PPG)
0.23 Average
NCAAe PPG

D2/3 Comparables

Dave McKenna
Elmira · 2004-05
0.560 Average
actual D2/3 PPG
Shane Wheeler
St. Norbert · 2004-05
0.903 Strong
actual D2/3 PPG
Jack Wandmacher
Saint John's · 2019-20
0.560 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.