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Colby Bukes Elite Prospects ↗

Position: Defense DOB: 1999-02-01 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
2015-16 Chicago Steel USHL 2 0 0 0 0.000
2016-17 Muskegon Lumberjacks USHL 60 4 6 10 0.167 0.1025 0.1068 0.4911 0.5115
2017-18 Muskegon Lumberjacks USHL 59 4 24 28 0.475 0.2917 0.2894 1.3983 1.3871
2018-19 Muskegon Lumberjacks USHL 58 6 30 36 0.621 0.3815 0.3588 1.8287 1.7198
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
2021-22 Merrimack D1 HockeyEast 0 0 0 0 0.000
2020-21 Minnesota D1 BigTen 3 0 0 0 0.000
2020-21 Minnesota State D1 WCHA SO 3 0 0 0 0.000
2019-20 Minnesota D1 BigTen 2 0 1 1 0.500
2019-20 Minnesota State D1 WCHA FR 2 0 1 1 0.500
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.31
before college
Actual FR PPG
0.50
2019-20 · Minnesota
+60.0% vs. projection

College Pathway Likelihood (based on 40 comparables)

78%
NCAA D1
2%
NCAA D2/D3
8%
Age-Out / Club
12%
Pro / Other

NCAAe Rankings

#3311
Defenseman overall
#799
Defenseman born in 1999
#1673
in USHL

D1 Comparables

USHL · 2012-13 · 0.57 PPG
→ Providence (0.19 D1 FR PPG)
0.33 Average D
NCAAe PPG
USHL · 2012-13 · 0.52 PPG
→ Harvard (0.67 D1 FR PPG)
0.30 Elite D
NCAAe PPG
USHL · 2012-13 · 0.48 PPG
→ Western Michigan (0.17 D1 FR PPG)
0.27 Average D
NCAAe PPG
USHL · 2012-13 · 0.47 PPG
→ Denver (0.10 D1 FR PPG)
0.27 Developing D
NCAAe PPG
OHL · 2012-13 · 0.55 PPG
→ Cornell (0.20 D1 FR PPG)
0.30 Average D
NCAAe PPG

D2/3 Comparables

Elmira · 2015-16
1.080 Elite
actual D2/3 PPG
Lebanon Valley · 2014-15
1.280 Elite
actual D2/3 PPG
Marian · 2010-11
1.038 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.