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Marcus Krats Elite Prospects ↗

Position: Defense DOB: 2005-01-25 Country: Canada
Concordia (WI)
NCHA D3

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
2023-24 — CCHL 22 1 2 3 0.136 0.0296 0.0298 0.1045 0.1054
2024-25 Powassan VooDoos NOJHL 38 8 18 26 0.684 0.1165 0.1114 0.2900 0.2773
2025-26 Powassan VooDoos NOJHL 48 13 38 51 1.062 0.1809 0.1638 0.4503 0.4077
■ Blue = NCAAe (D1 anchor)   ■ Green = D3e (D3 anchor)   COVID-flagged seasons highlighted in yellow

College Pathway Likelihood (based on 40 comparables)

25%
NCAA D1
10%
NCAA D2/D3
38%
Age-Out / Club
28%
Pro / Other

NCAAe Rankings

#8455
Defenseman overall
#1911
Defenseman born in 2005

D1 Comparables

Michael Holland
USHL · 2012-13 · 0.18 PPG
→ RIT (0.05 D1 FR PPG)
0.09 Developing D
NCAAe PPG
Carter Foguth
USHL · 2012-13 · 0.08 PPG
→ Minnesota State (0.06 D1 FR PPG)
0.04 Developing D
NCAAe PPG
Marc-Antoine Carrier
QMJHL · 2012-13 · 0.37 PPG
→ Brown (0.04 D1 FR PPG)
0.16 Developing D
NCAAe PPG
Dominic Racobaldo
USHL · 2012-13 · 0.33 PPG
→ American International (0.12 D1 FR PPG)
0.18 Developing D
NCAAe PPG
Brandon Carlson
USHL · 2012-13 · 0.24 PPG
→ Alabama-Huntsville (0.11 D1 FR PPG)
0.13 Developing D
NCAAe PPG

Concordia (WI) Alumni similar profiles who attended this school

Taylor Gauld
0.52
actual FR PPG at Concordia (WI)
Preston Hazelton
0.00
actual FR PPG at Concordia (WI)
Cody Kostecki
0.70
actual FR PPG at Concordia (WI)
Mason Ausmus
0.36
actual FR PPG at Concordia (WI)

D2/3 Comparables

Brett Backman
Plymouth State · 2016-17
0.458 Average
actual D2/3 PPG
Shane Bernhardson
Concordia · 2017-18
0.000 No data
actual D2/3 PPG
Tyler Currie
Adrian · 2015-16
0.438 Average
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.