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Alex Porrier Elite Prospects ↗

Position: Forward DOB: 1990-07-10 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
2008-09 — CCHL 47 4 9 13 0.277 0.0789 0.0801 0.2141 0.2173
2009-10 Lindsay Muskies OJHL 14 5 8 13 0.929 0.2595 0.2500 0.6408 0.6172
2010-11 — OJHL 19 9 11 20 1.053 0.2941 0.2696 0.7264 0.6659
■ 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
2014-15 Johnson & Wales D3 CNE SR 26 5 5 10 0.385
2013-14 Johnson & Wales D3 CNE JR 27 3 2 5 0.185
2012-13 Johnson & Wales D3 CNE SO 27 8 14 22 0.815
2011-12 Johnson & Wales D3 CNE FR 26 10 7 17 0.654
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.22
before college
→
Actual FR PPG
0.65
2011-12 · Johnson & Wales
+191.7% vs. projection

NCAAe Rankings

#16275
Forward overall
#685
Forward born in 1990

D1 Comparables

Cody Marooney
NAHL · 2012-13 · 0.65 PPG
→ Alabama-Huntsville (0.11 D1 FR PPG)
0.23 Developing
NCAAe PPG
Jayson Angus
NAHL · 2012-13 · 0.66 PPG
→ Lake Superior State (0.14 D1 FR PPG)
0.23 Developing
NCAAe PPG
Woody Hudson
USHL · 2012-13 · 0.43 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.25 Developing
NCAAe PPG
Clint Carlisle
NAHL · 2012-13 · 0.78 PPG
→ Army (0.52 D1 FR PPG)
0.27 Average
NCAAe PPG
Justin Parizek
NAHL · 2012-13 · 0.93 PPG
→ Nebraska Omaha (0.22 D1 FR PPG)
0.32 Developing
NCAAe PPG

D2/3 Comparables

Larry Jungwirth
Aurora · 2017-18
0.778 Strong
actual D2/3 PPG
Don Olivieri
Utica · 2011-12
0.815 Strong
actual D2/3 PPG
Michael Thompson
Milwaukee School of Engineering · 2004-05
0.741 Strong
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.