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Mike Pao Elite Prospects ↗

Position: Forward DOB: 1988-05-28 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
2006-07 — CCHL 53 11 9 20 0.377 0.1077 0.1094 0.2921 0.2967
2007-08 Calgary Canucks AJHL 26 6 2 8 0.308 0.1028 0.1000 0.2856 0.2779
2008-09 Calgary Canucks AJHL 62 10 15 25 0.403 0.1347 0.1255 0.3743 0.3486
■ 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
2012-13 Milwaukee School of Engineering D3 — SR 23 1 7 8 0.348
2011-12 Milwaukee School of Engineering D3 — JR 25 7 7 14 0.560
2010-11 Milwaukee School of Engineering D3 — FR 27 4 16 20 0.741
2009-10 Fredonia D3 — FR 10 1 2 3 0.300
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.10
before college
→
Actual FR PPG
0.30
2009-10 · Fredonia
+204.0% vs. projection

NCAAe Rankings

#42087
Forward overall
#1562
Forward born in 1988

D1 Comparables

Bob Kinne
NAHL · 2012-13 · 0.48 PPG
→ Bemidji State (0.12 D1 FR PPG)
0.17 Developing
NCAAe PPG
Eli Lichtenwald
USHL · 2012-13 · 0.36 PPG
→ Union (0.68 D1 FR PPG)
0.21 Strong
NCAAe PPG
Bradley Duwe
NAHL · 2012-13 · 0.65 PPG
→ Alaska Anchorage (0.30 D1 FR PPG)
0.23 Developing
NCAAe PPG
Cody Marooney
NAHL · 2012-13 · 0.65 PPG
→ Alabama-Huntsville (0.11 D1 FR PPG)
0.23 Developing
NCAAe PPG
Clint Carlisle
NAHL · 2012-13 · 0.78 PPG
→ Army (0.52 D1 FR PPG)
0.27 Average
NCAAe PPG

D2/3 Comparables

Van Sullivan
Gustavus Adolphus · 2014-15
0.652 Strong
actual D2/3 PPG
Ross Johnson
Wisconsin-River Falls · 2004-05
0.500 Average
actual D2/3 PPG
Matt Colford
Saint John's · 2014-15
0.615 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.