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Nikolas Koberstein Elite Prospects ↗

Position: Defense DOB: 1996-01-19 Country: Canada
2014 · Round 4, Pick #125  ·  Montreal Canadiens Montreal Canadiens
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
2013-14 Olds Grizzlys AJHL 51 5 13 18 0.353 0.1184 0.1250 0.3266 0.3449
2014-15 — USHL 61 4 8 12 0.197 0.1160 0.1145 0.5908 0.5833
■ 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
2018-19 Alaska Fairbanks D1 WCHA SR 35 0 10 10 0.286
2017-18 Alaska Fairbanks D1 WCHA JR 36 1 11 12 0.333
2016-17 Alaska Fairbanks D1 WCHA SO 31 2 4 6 0.194
2015-16 Alaska Fairbanks D1 WCHA FR 23 1 1 2 0.087
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.11
before college
→
Actual FR PPG
0.09
2015-16 · Alaska Fairbanks
-22.4% vs. projection

NCAAe Rankings

#14336
Defenseman overall
#1907
Defenseman born in 1996

D1 Comparables

Niklas Folin
USHL · 2012-13 · 0.16 PPG
→ UMass Lowell (0.26 D1 FR PPG)
0.09 Average D
NCAAe PPG
Sam Piazza
USHL · 2012-13 · 0.16 PPG
→ Michigan (0.10 D1 FR PPG)
0.09 Developing D
NCAAe PPG
Eric Sweetman
USHL · 2012-13 · 0.29 PPG
→ St. Lawrence (0.39 D1 FR PPG)
0.17 Strong D
NCAAe PPG
Cliff Watson
USHL · 2012-13 · 0.18 PPG
→ Michigan Tech (0.10 D1 FR PPG)
0.10 Developing D
NCAAe PPG
Johnny Wingels
USHL · 2012-13 · 0.29 PPG
→ Miami
0.17 No data
NCAAe PPG

D2/3 Comparables

Brad Peterson
Bethel · 2003-04
1.040 Elite
actual D2/3 PPG
Joey Lajcaj
Trine · 2016-17
0.000 No data
actual D2/3 PPG
Sean Fish
Wisconsin-Stevens Point · 2003-04
0.926 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.