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Alex Strand Elite Prospects ↗

Position: Forward DOB: 1995-07-19 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
2013-14 Bismarck Bobcats NAHL 6 0 1 1 0.167 0.0619 0.0648 0.1765 0.1847
2014-15 Bismarck Bobcats NAHL 60 8 16 24 0.400 0.1485 0.1476 0.4235 0.4210
2015-16 Bismarck Bobcats NAHL 60 27 22 49 0.817 0.3032 0.2880 0.8647 0.8214
■ 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
2017-18 Wisconsin-Eau Claire D3 BigTen SO 27 7 9 16 0.593
2016-17 Wisconsin-Eau Claire D3 BigTen FR 25 5 6 11 0.440
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.20
before college
→
Actual FR PPG
0.44
2016-17 · Wisconsin-Eau Claire
+121.7% vs. projection

NCAAe Rankings

#15684
Forward overall
#575
Forward born in 1995
#1184
in NAHL

D1 Comparables

Woody Hudson
USHL · 2012-13 · 0.43 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.25 Developing
NCAAe PPG
Jayson Angus
NAHL · 2012-13 · 0.66 PPG
→ Lake Superior State (0.14 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
Justin Parizek
NAHL · 2012-13 · 0.93 PPG
→ Nebraska Omaha (0.22 D1 FR PPG)
0.32 Developing
NCAAe PPG
Beau Walker
NAHL · 2012-13 · 1.00 PPG
→ Sacred Heart (0.40 D1 FR PPG)
0.35 Average
NCAAe PPG

D2/3 Comparables

Michael Soik
Milwaukee School of Engineering · 2006-07
1.346 Elite
actual D2/3 PPG
Brandon Della Paolera
Anna Maria · 2021-22
0.850 Strong
actual D2/3 PPG
Jake Simons
Endicott · 2016-17
1.000 Elite
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.