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Pano Fimis Elite Prospects ↗

Position: Forward DOB: 2004-06-17 Country: Canada
No commitment set

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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
2020-21 Niagara IceDogs OHL 0 0 0 0 0.000 — — — —
2021-22 Niagara IceDogs OHL 54 14 30 44 0.815 0.4728 0.4953 2.0879 2.1874
2022-23 — OHL 55 16 31 47 0.855 0.4959 0.4981 2.1897 2.1993
2023-24 Erie Otters OHL 68 25 51 76 1.118 0.6485 0.6203 2.8638 2.7394
2024-25 Erie Otters OHL 68 32 54 86 1.265 0.7339 0.6641 3.2408 2.9327
■ 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 Notre Dame D1 BigTen FR 37 6 11 17 0.460
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.60
before college
→
Actual FR PPG
0.46
2025-26 · Notre Dame
-23.7% vs. projection

College Pathway Likelihood (based on 40 comparables)

20%
NCAA D1
0%
NCAA D2/D3
48%
Age-Out / Club
32%
Pro / Other

NCAAe Rankings

#3350
Forward overall
#62
Forward born in 2004
#145
in OHL

D1 Comparables

Mike Szmatula
USHL · 2012-13 · 1.21 PPG
→ Northeastern (1.05 D1 FR PPG)
0.68 Elite
NCAAe PPG
Eric Scheid
USHL · 2012-13 · 0.94 PPG
→ Alaska Anchorage (0.50 D1 FR PPG)
0.52 Average
NCAAe PPG
Shane Sooth
USHL · 2012-13 · 0.95 PPG
→ Northern Michigan (0.45 D1 FR PPG)
0.52 Average
NCAAe PPG
Kyle Novak
USHL · 2012-13 · 1.20 PPG
→ Western Michigan (0.19 D1 FR PPG)
0.68 Developing
NCAAe PPG
Michael Vecchione
USHL · 2012-13 · 0.95 PPG
→ Union (0.89 D1 FR PPG)
0.55 Elite
NCAAe PPG

D2/3 Comparables

Ryan Ellis
SUNY Oswego · 2004-05
1.704 Elite
actual D2/3 PPG
Gus Katsuras
Hamilton · 2001-02
1.400 Elite
actual D2/3 PPG
Conor Landrigan
Utica · 2016-17
1.038 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.