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Barrett Kaib Elite Prospects ↗

Position: Defense DOB: 1993-02-07 Country: USA
No commitment set

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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
2009-10 U.S. National U17 Team NTDP-U18 34 1 5 6 0.176 0.1404 0.1418 0.6610 0.6676
2010-11 — NTDP-U18 55 0 9 9 0.164 0.1301 0.1259 0.6127 0.5927
2012-13 Green Bay Gamblers USHL 47 6 21 27 0.575 0.3658 0.3424 1.7216 1.6113
■ 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
2015-16 Northern Michigan D1 WCHA SR 29 4 9 13 0.448
2014-15 Northern Michigan D1 WCHA SO 19 4 4 8 0.421
2013-14 Northern Michigan D1 WCHA FR 29 1 3 4 0.138
2011-12 Providence D1 HockeyEast FR 31 1 5 6 0.194
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.12
before college
→
Actual FR PPG
0.19
2011-12 · Providence
+54.9% vs. projection

NCAAe Rankings

#3178
Defenseman overall
#654
Defenseman born in 1993

D1 Comparables

Victor Newell
USHL · 2012-13 · 0.52 PPG
→ Harvard (0.67 D1 FR PPG)
0.31 Elite D
NCAAe PPG
Taylor Fleming
USHL · 2012-13 · 0.48 PPG
→ Western Michigan (0.17 D1 FR PPG)
0.28 Average D
NCAAe PPG
Connor Murphy
OHL · 2012-13 · 0.55 PPG
→ Cornell (0.20 D1 FR PPG)
0.31 Average D
NCAAe PPG
Jared Kolquist
USHL · 2012-13 · 0.47 PPG
→ Merrimack (0.14 D1 FR PPG)
0.29 Developing D
NCAAe PPG
Victor Björkung
USHL · 2012-13 · 0.37 PPG
→ Ohio State (0.18 D1 FR PPG)
0.22 Average D
NCAAe PPG

D2/3 Comparables

Beau Moyer
Wisconsin-Superior · 2000-01
0.708 Strong
actual D2/3 PPG
Anthony Marra
SUNY Geneseo · 2014-15
1.161 Elite
actual D2/3 PPG
Jordan Reed
Curry · 2009-10
0.885 Strong
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.