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Ben Lauder Elite Prospects ↗

Position: Forward DOB: 1989-08-30 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 Fort McMurray Oil Barons AJHL 53 7 7 14 0.264 0.0877 0.0908 0.2449 0.2537
2008-09 Fort McMurray Oil Barons AJHL 53 8 10 18 0.340 0.1127 0.1121 0.3147 0.3129
2009-10 Drayton Valley Thunder AJHL 60 2 14 16 0.267 0.0885 0.0835 0.2472 0.2331
■ 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
2011-12 Milwaukee School of Engineering D3 — SO 30 2 5 7 0.233
2010-11 Milwaukee School of Engineering D3 — FR 27 6 9 15 0.556
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.08
before college
→
Actual FR PPG
0.56
2010-11 · Milwaukee School of Engineering
+583.4% vs. projection

NCAAe Rankings

#47525
Forward overall
#1585
Forward born in 1989
#2303
in AJHL

D1 Comparables

Eli Lichtenwald
USHL · 2012-13 · 0.36 PPG
→ Union (0.68 D1 FR PPG)
0.20 Strong
NCAAe PPG
Cullen Hurley
USHL · 2012-13 · 0.38 PPG
→ Wisconsin
0.22 No data
NCAAe PPG
Ali Thomas
USHL · 2012-13 · 0.34 PPG
→ Notre Dame (0.18 D1 FR PPG)
0.19 Developing
NCAAe PPG
Yasin Cissé
QMJHL · 2012-13 · 0.52 PPG
→ Boston University
0.23 No data
NCAAe PPG
Tayler Munson
USHL · 2012-13 · 0.31 PPG
→ Alaska Fairbanks (0.35 D1 FR PPG)
0.18 Average
NCAAe PPG

D2/3 Comparables

Alex Storjohann
SUNY Cortland · 2016-17
0.565 Average
actual D2/3 PPG
Todd Koritzinsky
Wisconsin-Eau Claire · 2013-14
0.550 Average
actual D2/3 PPG
Wilmer Svensson
Gustavus Adolphus · 2021-22
0.364 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.