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Jakub Sirota Elite Prospects ↗

Position: Defense DOB: 1998-12-20 Country: Czechia
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
2016-17 Cedar Rapids RoughRiders USHL 39 4 3 7 0.179 0.1059 0.1097 0.5391 0.5584
2017-18 Lone Star Brahmas NAHL 33 4 20 24 0.727 0.2672 0.2718 0.7677 0.7809
2018-19 Lone Star Brahmas NAHL 24 0 5 5 0.208 0.0765 0.0744 0.2199 0.2139
■ 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
2022-23 Maine D1 HockeyEast GR 36 6 10 16 0.444
2021-22 Maine D1 HockeyEast SR 26 4 10 14 0.538
2020-21 Maine D1 HockeyEast JR 16 1 10 11 0.688
2019-20 Maine D1 HockeyEast SO 34 1 8 9 0.265
2018-19 Maine D1 HockeyEast FR 18 1 4 5 0.278
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.20
before college
→
Actual FR PPG
0.28
2018-19 · Maine
+42.2% vs. projection

College Pathway Likelihood (based on 40 comparables)

30%
NCAA D1
10%
NCAA D2/D3
40%
Age-Out / Club
20%
Pro / Other

NCAAe Rankings

#10184
Defenseman overall
#1801
Defenseman born in 1998

D1 Comparables

Kyle McKenzie
USHL · 2012-13 · 0.14 PPG
→ Providence (0.15 D1 FR PPG)
0.08 Average D
NCAAe PPG
Matt Fuller
OHL · 2012-13 · 0.11 PPG
→ Southern Maine (0.17 D1 FR PPG)
0.06 Average D
NCAAe PPG
Patrick Koudys
USHL · 2012-13 · 0.23 PPG
→ RPI (0.10 D1 FR PPG)
0.13 Developing D
NCAAe PPG
Taki Pantziris
OHL · 2012-13 · 0.29 PPG
→ Brown
0.15 No data
NCAAe PPG
Brandon Kirk
USHL · 2012-13 · 0.32 PPG
→ Dartmouth
0.17 No data
NCAAe PPG

D2/3 Comparables

Nick Blood
Gustavus Adolphus · 2023-24
0.294 Developing
actual D2/3 PPG
Danny Greiner
Nichols · 2008-09
0.478 Average
actual D2/3 PPG
Jordan Menke
Wisconsin-Superior · 2009-10
0.286 Developing
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.