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Alex Perkins Elite Prospects ↗

Position: Forward DOB: 1989-03-03 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
2007-08 St. Albert Steel AJHL 59 9 12 21 0.356 0.1194 0.1207 0.3293 0.3330
2008-09 St. Albert Steel AJHL 61 16 13 29 0.475 0.1594 0.1546 0.4399 0.4265
2009-10 St. Albert Steel AJHL 46 16 24 40 0.870 0.2917 0.2679 0.8047 0.7391
■ 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
2013-14 Fredonia D3 SUNYAC SR 26 7 9 16 0.615
2012-13 Fredonia D3 SUNYAC JR 24 3 2 5 0.208
2011-12 Fredonia D3 SUNYAC SO 24 5 10 15 0.625
2010-11 Fredonia D3 SUNYAC FR 23 1 4 5 0.217
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.19
before college
→
Actual FR PPG
0.22
2010-11 · Fredonia
+14.1% vs. projection

NCAAe Rankings

#27229
Forward overall
#908
Forward born in 1989
#803
in AJHL

D1 Comparables

Yasin Cissé
QMJHL · 2012-13 · 0.52 PPG
→ Boston University
0.23 No data
NCAAe PPG
Will Suter
USHL · 2012-13 · 0.47 PPG
→ Bentley (0.10 D1 FR PPG)
0.25 Developing
NCAAe PPG
David Goodwin
USHL · 2012-13 · 0.67 PPG
→ Penn State (0.53 D1 FR PPG)
0.35 Average
NCAAe PPG
Ali Thomas
USHL · 2012-13 · 0.34 PPG
→ Notre Dame (0.18 D1 FR PPG)
0.18 Developing
NCAAe PPG
Jordan Nelson
USHL · 2012-13 · 0.59 PPG
→ Minnesota State (0.22 D1 FR PPG)
0.31 Developing
NCAAe PPG

D2/3 Comparables

Ethan James
Wisconsin-Superior · 2015-16
1.000 Elite
actual D2/3 PPG
Matthew Monreal
Southern New Hampshire · 2018-19
0.450 Average
actual D2/3 PPG
Brandon Couto
SUNY Potsdam · 2009-10
0.591 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.