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Cole Koepke Elite Prospects ↗

Position: Forward DOB: 1998-05-17 Country: USA
2018 NHL Draft Round 6, Pick #183  ·  Tampa Bay Lightning Tampa Bay Lightning
Signed Professionally

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 — USHS-MN 25 17 19 36 1.440 0.1774 0.1791 0.3498 0.3532
2015-16 — NAHL 9 2 1 3 0.333 0.1184 0.1292 0.3499 0.3819
2016-17 — USHL 22 3 2 5 0.227 0.1341 0.1349 0.6697 0.6738
2017-18 — USHL 60 28 11 39 0.650 0.3834 0.3667 1.9150 1.8315
■ 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 Minnesota Duluth D1 NCHC JR 28 15 8 23 0.821
2019-20 Minnesota Duluth D1 NCHC SO 34 16 17 33 0.971
2018-19 Minnesota Duluth D1 NCHC FR 42 7 12 19 0.452
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.23
before college
→
Actual FR PPG
0.45
2018-19 · Minnesota Duluth
+92.9% vs. projection

College Pathway Likelihood (based on 40 comparables)

92%
NCAA D1
0%
NCAA D2/D3
8%
Pro / Other

NCAAe Rankings

D1 Comparables

Robbie Payne
NAHL · 2012-13 · 1.12 PPG
→ Northern Michigan (0.29 D1 FR PPG)
0.39 Developing
NCAAe PPG
Jay Dickman
NAHL · 2012-13 · 1.00 PPG
→ Bemidji State
0.35 No data
NCAAe PPG
Tyler Heinonen
USHL · 2012-13 · 0.74 PPG
→ Michigan Tech (0.21 D1 FR PPG)
0.41 Developing
NCAAe PPG
John Simonson
NAHL · 2012-13 · 0.97 PPG
→ North Dakota (0.23 D1 FR PPG)
0.34 Developing
NCAAe PPG
Brett Skibba
NAHL · 2012-13 · 1.00 PPG
→ UConn (0.23 D1 FR PPG)
0.35 Developing
NCAAe PPG

D2/3 Comparables

Nicolas Pigeon
Wisconsin-Stout · 2022-23
1.000 Elite
actual D2/3 PPG
Craig Kennedy
Hamilton · 2000-01
1.353 Elite
actual D2/3 PPG
Michael Padgeon
Anna Maria · 2018-19
0.706 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.