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Markus Ruck Elite Prospects ↗

Position: Forward DOB: 2008-02-21 Country: Canada
2026 · Round 2, Pick #39  ·  Pittsburgh Penguins Pittsburgh Penguins
North Dakota
Verbal NCHC D1

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 Medicine Hat Tigers WHL 2 0 0 0 0.000 — — — —
2024-25 Medicine Hat Tigers WHL 62 8 21 29 0.468 0.2275 0.2469 1.1476 1.2454
2025-26 Medicine Hat Tigers WHL 68 21 87 108 1.588 0.7727 0.8028 3.8970 4.0489
■ Blue = NCAAe (D1 anchor)   ■ Green = D3e (D3 anchor)   COVID-flagged seasons highlighted in yellow

College Pathway Likelihood (based on 40 comparables)

12%
NCAA D1
0%
NCAA D2/D3
2%
Age-Out / Club
85%
Pro / Other

NCAAe Rankings

#4827
Forward overall
#23
Forward born in 2008
#95
in WHL

D1 Comparables

J.T. Compher
USHL · 2012-13 · 1.14 PPG
→ Michigan (0.89 D1 FR PPG)
0.70 Elite
NCAAe PPG
Brendan Harms
USHL · 2012-13 · 1.09 PPG
→ Bemidji State (0.55 D1 FR PPG)
0.66 Strong
NCAAe PPG
Jake Guentzel
USHL · 2012-13 · 1.22 PPG
→ Nebraska Omaha (0.92 D1 FR PPG)
0.73 Elite
NCAAe PPG
Austin Cangelosi
USHL · 2012-13 · 1.14 PPG
→ Boston College (0.65 D1 FR PPG)
0.68 Strong
NCAAe PPG
Nick Schilkey
USHL · 2012-13 · 1.20 PPG
→ Ohio State (0.70 D1 FR PPG)
0.71 Strong
NCAAe PPG

North Dakota Alumni similar profiles who attended this school

Brock Boeser
USHL 2014-15
1.43
actual FR PPG at North Dakota
Mac Swanson
USHL 2023-24
0.47
actual FR PPG at North Dakota
Tyson Jost
BCHL 2015-16
1.06
actual FR PPG at North Dakota
Nick Schmaltz
USHL 2013-14
0.68
actual FR PPG at North Dakota

D2/3 Comparables

Arkhip Ledenkov
St. Scholastica · 2018-19
1.636 Elite
actual D2/3 PPG
Neil Trimm
Neumann · 2003-04
1.800 Elite
actual D2/3 PPG
Filimon Ledenkov
St. Scholastica · 2018-19
1.636 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.