Cube4fun League IX Bielsko-Biała 2022


Date
Aug 27 - 28, 2022
City
Bielsko-Biała, Poland
Venue

Akademia Techniczno-Humanistyczna w Bielsku-Białej

Address
Willowa 2, 43-300 Bielsko-Biała
Details

Sport hall

Website
Cube4fun League IX Bielsko-Biała 2022 website
Contact

cube4fun

Organizers
Piotr Tokarski and Witold Sołtysik
WCA Delegates
Grzegorz Łuczyna and Hubert Hanusiak
Download all the competition's details as PDF here.
Information
Events
Main event
Competitors
164
Registration period

Online registration opened Thursday, June 16, 2022 at 4:00 PM UTC and closed Sunday, August 14, 2022 at 6:00 PM UTC.

Registration requirements
This competition is over, click here to display the registration requirements it used.
Highlights
Click here to display the highlights of the competition.

Kajetan Opach won with an average of 7.24 seconds in the 3x3x3 Cube event. Łukasz Burliga finished second (7.39) and Bartłomiej Owczarek finished third (7.47).

3x3x3 Cube

# Name Best Average Representing Solves
1 Kajetan Opach 6.80 7.24 Poland 6.857.798.776.807.08
2 Łukasz Burliga 6.66 7.39 Poland 7.237.016.668.117.92
3 Bartłomiej Owczarek 6.74 7.47 Poland 7.317.709.157.396.74

2x2x2 Cube

# Name Best Average Representing Solves
1 Tomasz Pietruszka 1.56 1.76 Poland 1.771.881.631.566.05
2 Magdalena Pabisz 1.68 1.78 Poland 1.681.741.812.351.80
3 Michał Krasowski 1.98 2.17 Poland 2.234.791.982.212.06

4x4x4 Cube

# Name Best Average Representing Solves
1 Magdalena Pabisz 26.39 28.35 Poland 26.8730.0526.3928.1430.10
2 Łukasz Burliga 26.11 30.28 Poland 33.4630.8526.1127.3432.64
3 Kajetan Opach 25.96 30.52 Poland 31.0032.0925.9628.4747.75

3x3x3 One-Handed

# Name Best Average Representing Solves
1 Kristóf Veres 9.91 12.46 Hungary 9.9110.9513.7312.7115.20
2 Karol Zakrzewski 11.73 12.88 Poland 11.9511.7313.4113.5113.29
3 Bartosz Karpiński 10.72 13.23 Poland 16.4410.7212.0611.1816.46

Clock

# Name Best Average Representing Solves
1 Hubert Hanusiak 4.60 5.37 Poland 5.056.124.604.938.11
2 Hubert Firek 4.93 5.79 Poland 6.077.584.935.895.40
3 Przemysław Rogalski 5.66 6.06 Poland 5.856.036.385.666.29

Megaminx

# Name Best Average Representing Solves
1 Jan Zych 36.68 38.43 Poland 38.8047.2036.6838.4138.08
2 Magdalena Pabisz 35.51 38.80 Poland 35.5140.5039.5136.4042.09
3 Gergely Novotni 37.64 40.62 Hungary 37.6443.5641.8241.1738.88

Pyraminx

# Name Best Average Representing Solves
1 Jakub Hibszer 2.03 2.34 Poland 2.492.302.234.192.03
2 Piotr Olszewski 1.71 2.38 Poland 2.201.801.715.093.13
3 Magdalena Pabisz 2.38 2.61 Poland 2.382.442.702.852.68

Skewb

# Name Best Average Representing Solves
1 Michał Krasowski 2.13 2.98 Poland 4.562.182.133.453.30
2 Magdalena Pabisz 2.05 3.17 Poland 3.302.054.453.272.95
3 Bence Kiácz 2.03 3.27 Hungary 3.282.032.444.085.57

Square-1

# Name Best Average Representing Solves
1 Michał Krasowski 5.87 7.80 Poland 7.318.167.9210.585.87
2 Witold Sołtysik 7.21 9.04 Poland 9.049.538.567.2110.63
3 Szabolcs Szántai 9.58 10.23 Hungary 10.0510.1410.4910.619.58
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