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Sava Makarenko Elite Prospects ↗

Position: Forward DOB: 2003-12-18 Country: USA
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
2021-22 New York Apple Core EHL 1 0 0 0 0.000 — — — —
2022-23 Norwich Sea Captains NA3HL 44 12 7 19 0.432 0.0478 0.0484 0.1368 0.1385
2023-24 Norwich Sea Captains NA3HL 43 16 14 30 0.698 0.0772 0.0745 0.2210 0.2131
■ 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 Oswego ACHA_D1 — — 27 3 4 7 0.259
2024-25 SUNY Oswego ACHA_D1 — — 27 3 4 7 0.259
2023-24 SUNY Oswego ACHA_D1 — — 27 3 4 7 0.259
2022-23 SUNY Oswego ACHA_D1 — — 27 3 4 7 0.259
2021-22 SUNY Oswego ACHA_D1 — — 27 3 4 7 0.259
2020-21 SUNY Oswego ACHA_D1 — — 27 3 4 7 0.259

College Pathway Likelihood (based on 40 comparables)

8%
NCAA D2/D3
2%
Club / ACHA
0%
Other

NCAAe Rankings

#39344
Forward overall
#2453
Forward born in 2003

D1 Comparables

Cullen Hurley
USHL · 2012-13 · 0.38 PPG
→ Wisconsin
0.21 No data
NCAAe PPG
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
Alexander Dahl
USHL · 2012-13 · 0.38 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.21 Developing
NCAAe PPG
Ben Ostlie
USHL · 2012-13 · 0.23 PPG
→ Notre Dame
0.13 No data
NCAAe PPG

D2/3 Comparables

Danny Greiner
Nichols · 2008-09
0.478 Average
actual D2/3 PPG
Matt Millis
Wisconsin-Stout · 2009-10
0.000 No data
actual D2/3 PPG
Scott Cremen
Canton · 2022-23
0.500 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.