IcePath icepath.io · Hockey Analytics
← New Search ↗ Social Card

Finnegan Kilmurray Elite Prospects ↗

Position: Forward DOB: 2003-12-21 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
2019-20 Ottawa Jr. Senators CCHL 2 1 0 1 0.500 0.1085 0.1085 0.3871 0.3871
2020-21 Smiths Falls Bears CCHL 0 0 0 0 0.000 — — — —
2021-22 Smiths Falls Bears CCHL 47 1 2 3 0.064 0.0138 0.0145 0.0494 0.0519
2022-23 Smiths Falls Bears CCHL 55 9 9 18 0.327 0.0710 0.0715 0.2534 0.2551
2023-24 Smiths Falls Bears CCHL 51 3 9 12 0.235 0.0510 0.0486 0.1821 0.1736
■ 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 SUNY Potsdam D3 SUNYAC SO 23 2 4 6 0.261
2024-25 SUNY Potsdam D3 SUNYAC FR 23 1 4 5 0.217
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.05
before college
→
Actual FR PPG
0.22
2024-25 · SUNY Potsdam
+340.1% vs. projection

College Pathway Likelihood (based on 40 comparables)

25%
NCAA D1
20%
NCAA D2/D3
55%
Age-Out / Club
0%
Pro / Other

NCAAe Rankings

#52670
Forward overall
#3592
Forward born in 2003
#1707
in CCHL

D1 Comparables

Tayler Munson
USHL · 2012-13 · 0.31 PPG
→ Alaska Fairbanks (0.35 D1 FR PPG)
0.17 Average
NCAAe PPG
Stanislav Dzakhov
USHL · 2012-13 · 0.27 PPG
→ Niagara (0.44 D1 FR PPG)
0.15 Average
NCAAe PPG
Ben Ostlie
USHL · 2012-13 · 0.23 PPG
→ Notre Dame
0.13 No data
NCAAe PPG
William Messa
USHL · 2012-13 · 0.21 PPG
→ Northeastern
0.12 No data
NCAAe PPG
Matthew Hansen
USHL · 2012-13 · 0.25 PPG
→ Colorado College (0.17 D1 FR PPG)
0.14 Developing
NCAAe PPG

D2/3 Comparables

Luca Maiuri
Fredonia · 2023-24
0.000 No data
actual D2/3 PPG
Tim Sweeney
Salve Regina · 2016-17
0.367 Average
actual D2/3 PPG
Nick Aleva
Saint Mary's (MN) · 2013-14
0.000 No data
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.