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Marshall Finnie Elite Prospects ↗

Position: Forward DOB: 2004-01-02 Country: Canada
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
2022-23 Edmonton Oil Kings WHL 64 8 14 22 0.344 0.1673 0.1641 0.8424 0.8265
2023-24 Edmonton Oil Kings WHL 67 21 20 41 0.612 0.2977 0.2774 1.4993 1.3971
2024-25 Edmonton Oil Kings WHL 59 18 13 31 0.525 0.2556 0.2245 1.2874 1.1309
■ 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
2025-26 Niagara D1 AHA FR 37 12 9 21 0.568
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.21
before college
→
Actual FR PPG
0.57
2025-26 · Niagara
+169.9% vs. projection

College Pathway Likelihood (based on 40 comparables)

18%
NCAA D1
15%
NCAA D2/D3
68%
Age-Out / Club
0%
Pro / Other

NCAAe Rankings

#21268
Forward overall
#1157
Forward born in 2004
#1134
in WHL

D1 Comparables

Will Suter
USHL · 2012-13 · 0.47 PPG
→ Bentley (0.10 D1 FR PPG)
0.26 Developing
NCAAe PPG
Yasin Cissé
QMJHL · 2012-13 · 0.52 PPG
→ Boston University
0.23 No data
NCAAe PPG
Ali Thomas
USHL · 2012-13 · 0.34 PPG
→ Notre Dame (0.18 D1 FR PPG)
0.19 Developing
NCAAe PPG
Dylan Walchuk
WHL · 2012-13 · 0.86 PPG
→ Northern Michigan (0.42 D1 FR PPG)
0.37 Average
NCAAe PPG
David Goodwin
USHL · 2012-13 · 0.67 PPG
→ Penn State (0.53 D1 FR PPG)
0.37 Average
NCAAe PPG

D2/3 Comparables

Matt Carlson
Wilkes · 2021-22
0.840 Strong
actual D2/3 PPG
Brian Depp
Elmira · 2011-12
0.636 Average
actual D2/3 PPG
John Moncovich
Utica · 2018-19
0.864 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.