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Murray Marvin-Cordes Elite Prospects ↗

Position: Forward DOB: 2005-10-17 Country: USA
Gustavus Adolphus
MIAC 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
2021-22 Warroad USHS-MN 31 15 19 34 1.097 0.1389 0.1389 0.2663 0.2663
2022-23 Warroad USHS-MN 31 25 28 53 1.710 0.2164 0.2164 0.4151 0.4151
2023-24 Minot Minotauros NAHL 10 1 2 3 0.300 0.1102 0.1178 0.3171 0.3390
2024-25 — NAHL 54 7 14 21 0.389 0.1429 0.1453 0.4110 0.4178
2025-26 Janesville Jets NAHL 59 9 35 44 0.746 0.2740 0.2651 0.7882 0.7625
■ Blue = NCAAe (D1 anchor)   ■ Green = D3e (D3 anchor)   COVID-flagged seasons highlighted in yellow

College Pathway Likelihood (based on 40 comparables)

38%
NCAA D1
22%
NCAA D2/D3
25%
Age-Out / Club
12%
Pro / Other

NCAAe Rankings

#26802
Forward overall
#1514
Forward born in 2005

D1 Comparables

Emil Romig
NAHL · 2012-13 · 1.00 PPG
→ Denver (0.31 D1 FR PPG)
0.35 Developing
NCAAe PPG
Tyler Deresky
NAHL · 2012-13 · 0.79 PPG
→ Bentley (0.19 D1 FR PPG)
0.28 Developing
NCAAe PPG
Jonathan Davis
NAHL · 2012-13 · 1.03 PPG
→ Nebraska Omaha (0.06 D1 FR PPG)
0.36 Developing
NCAAe PPG
Woody Hudson
USHL · 2012-13 · 0.43 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.23 Developing
NCAAe PPG
Sean Gaffney
NAHL · 2012-13 · 1.14 PPG
→ UConn (0.18 D1 FR PPG)
0.40 Developing
NCAAe PPG

Gustavus Adolphus Alumni similar profiles who attended this school

Caleb Anderson
0.56
actual FR PPG at Gustavus Adolphus
Brendan Payne
0.41
actual FR PPG at Gustavus Adolphus
Kyle Doll
0.64
actual FR PPG at Gustavus Adolphus
Toby Sengvongxay
0.48
actual FR PPG at Gustavus Adolphus

D2/3 Comparables

David Tolan
Buffalo State · 2023-24
0.478 Average
actual D2/3 PPG
Cullen Kane
Lake Forest · 2017-18
0.500 Average
actual D2/3 PPG
Vincent Dekumbis
Lawrence · 2017-18
0.652 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.