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Filimon Ledenkov Elite Prospects ↗

Position: Forward DOB: 1999-12-04 Country: Belarus
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
2018-19 Brooklyn Aviators USPHL-Premier 44 27 58 85 1.932 0.2527 0.2548 0.6557 0.6611
2019-20 Brooklyn Aviators USPHL-Premier 39 21 74 95 2.436 0.3186 0.3186 0.8267 0.8267
■ 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
2023-24 St. Scholastica D3 MIAC SR 25 7 23 30 1.200
2022-23 St. Scholastica D3 MIAC JR 23 12 26 38 1.652
2021-22 St. Scholastica D3 MIAC SO 19 9 13 22 1.158
2020-21 St. Scholastica D1 MIAC FR 11 4 14 18 1.636
2020-21 St. Scholastica D3 MIAC FR 11 4 14 18 1.636
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.22
before college
→
Actual FR PPG
1.64
2020-21 · St. Scholastica
+650.3% vs. projection

College Pathway Likelihood (based on 40 comparables)

22%
NCAA D2/D3
0%
Club / ACHA
32%
Other

NCAAe Rankings

#2771
Forward overall
#107
Forward born in 1999
#20
in USPHL-Premier

D1 Comparables

Kenny Gillespie
USHL · 2012-13 · 0.37 PPG
→ RPI (0.20 D1 FR PPG)
0.21 Developing
NCAAe PPG
Dylan Gareau
USHL · 2012-13 · 0.34 PPG
→ Clarkson (0.14 D1 FR PPG)
0.20 Developing
NCAAe PPG
A.J. Fossen
USHL · 2012-13 · 0.55 PPG
→ Clarkson (0.32 D1 FR PPG)
0.31 Developing
NCAAe PPG
Grant Opperman
USHL · 2012-13 · 0.56 PPG
→ Dartmouth (0.61 D1 FR PPG)
0.32 Strong
NCAAe PPG
Austin Vieth
USHL · 2012-13 · 0.31 PPG
→ Alaska Fairbanks (0.28 D1 FR PPG)
0.18 Developing
NCAAe PPG

D2/3 Comparables

Jory Mullin
Neumann · 2011-12
0.609 Average
actual D2/3 PPG
Matthew Lee
SUNY Brockport · 2024-25
0.731 Strong
actual D2/3 PPG
Blake Ulve
St. Norbert · 2021-22
0.552 Average
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.