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Keegan Bauman Elite Prospects ↗

Position: Forward DOB: 1999-01-25 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
2014-15 Champlin Park High USHS-MN 25 4 11 15 0.600 0.0760 0.0794 0.1457 0.1522
2017-18 Willmar WarHawks NA3HL 47 12 22 34 0.723 0.0908 0.0919 0.2284 0.2313
2018-19 New Ulm Steel NA3HL 46 19 24 43 0.935 0.1173 0.1126 0.2951 0.2832
2019-20 New Ulm Steel NA3HL 43 23 36 59 1.372 0.1722 0.1722 0.4332 0.4332
■ 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
2020-21 Wisconsin-Stout D1 BigTen FR 4 1 0 1 0.250
2020-21 Wisconsin-Stout D3 BigTen FR 4 1 0 1 0.250
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.09
before college
→
Actual FR PPG
0.25
2020-21 · Wisconsin-Stout
+180.0% vs. projection

College Pathway Likelihood (based on 40 comparables)

15%
NCAA D2/D3
0%
Club / ACHA
40%
Other

NCAAe Rankings

#21492
Forward overall
#1060
Forward born in 1999

D1 Comparables

Tayler Munson
USHL · 2012-13 · 0.31 PPG
→ Alaska Fairbanks (0.35 D1 FR PPG)
0.17 Average
NCAAe PPG
Cullen Hurley
USHL · 2012-13 · 0.38 PPG
→ Wisconsin
0.21 No data
NCAAe PPG
Stanislav Dzakhov
USHL · 2012-13 · 0.27 PPG
→ Niagara (0.44 D1 FR PPG)
0.15 Average
NCAAe PPG
Alexander Dahl
USHL · 2012-13 · 0.38 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.21 Developing
NCAAe PPG
Ben Ostlie
USHL · 2012-13 · 0.23 PPG
→ Notre Dame
0.13 No data
NCAAe PPG

D2/3 Comparables

Nathan Trull
Anna Maria · 2017-18
0.000 No data
actual D2/3 PPG
Mark Stewart
SUNY Potsdam · 2000-01
0.346 Developing
actual D2/3 PPG
Kyle Cronin
SUNY Morrisville · 2017-18
0.000 No data
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.