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West Bauman Elite Prospects ↗

Position: Forward DOB: 1989-05-02 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 Seguin Bruins OJHL 19 0 4 4 0.210 0.0516 0.0493 0.1449 0.1386
2009-10 Seguin Bruins OJHL 50 6 9 15 0.300 0.0735 0.0664 0.2065 0.1866
■ 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 Milwaukee School of Engineering D3 NCHA SR 27 2 12 14 0.518
2012-13 Milwaukee School of Engineering D3 NCHA JR 26 1 10 11 0.423
2011-12 Milwaukee School of Engineering D3 NCHA SO 30 8 18 26 0.867
2010-11 Milwaukee School of Engineering D3 NCHA FR 28 4 14 18 0.643
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.05
before college
→
Actual FR PPG
0.64
2010-11 · Milwaukee School of Engineering
+1160.6% vs. projection

NCAAe Rankings

#51452
Forward overall
#1734
Forward born in 1989
#3942
in OJHL

D1 Comparables

Eli Lichtenwald
USHL · 2012-13 · 0.36 PPG
→ Union (0.68 D1 FR PPG)
0.19 Strong
NCAAe PPG
Ali Thomas
USHL · 2012-13 · 0.34 PPG
→ Notre Dame (0.18 D1 FR PPG)
0.18 Developing
NCAAe PPG
Cullen Hurley
USHL · 2012-13 · 0.38 PPG
→ Wisconsin
0.21 No data
NCAAe PPG
Tayler Munson
USHL · 2012-13 · 0.31 PPG
→ Alaska Fairbanks (0.35 D1 FR PPG)
0.17 Average
NCAAe PPG
Alexander Dahl
USHL · 2012-13 · 0.38 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.21 Developing
NCAAe PPG

D2/3 Comparables

Caden Pattison
Albertus Magnus · 2021-22
0.522 Average
actual D2/3 PPG
Brandon Willett
Hamilton · 2013-14
0.391 Average
actual D2/3 PPG
Ben Vikich
St. Thomas · 2014-15
0.280 Developing
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.