WLS Wiosna 2016


Date
May 8, 2016
City
Warszawa, Poland
Venue

Urząd Dzielnicy Ursynów

Address
al. Komisji Edukacji Narodowej 61, 02-777 Warszawa
Details

Sala konferencyjna im. Juliana Ursyna Niemcewicza

Website
WLS Wiosna 2016 website
Contact

warszawskispeedcubing@gmail.com

Organizers
Michał Bogdan, Przemysław Rogalski, and Wojciech Szatanowski
WCA Delegates
Grzegorz Łuczyna and Tomasz Żołnowski
Information

Limit of competitors: 50. Entry fee: 20 PLN.

Events
Main event
Competitors
56
Registration period

Online registration opened and closed .

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.

Przemysław Kaleta won with an average of 9.38 seconds in the 3x3x3 Cube event. Wojciech Knott finished second (9.52) and Tomasz Żołnowski finished third (10.11).

3x3x3 Cube

# Name Best Average Representing Solves
1 Przemysław Kaleta 8.49 9.38 Poland 8.499.299.699.1640.32
2 Wojciech Knott 8.63 9.52 Poland 10.0111.358.708.639.84
3 Tomasz Żołnowski 9.88 10.11 Poland 10.2910.0610.479.999.88

2x2x2 Cube

# Name Best Average Representing Solves
1 Piotr Tokarski 1.83 2.79 Poland 6.791.832.612.603.17
2 Przemysław Kaleta 3.01 3.71 Poland 3.66DNF3.453.014.01
3 Bart Sekulski 3.06 3.87 Poland 4.506.693.063.133.99

4x4x4 Cube

# Name Best Average Representing Solves
1 Przemysław Kaleta 31.53 35.17 Poland 37.3031.5332.0440.0136.16
2 Wojciech Knott 35.38 38.07 Poland 40.0750.9535.3837.3136.83
3 Bart Sekulski 30.92 41.62 Poland 47.9940.3341.5043.0330.92

3x3x3 One-Handed

# Name Best Average Representing Solves
1 Przemysław Kaleta 10.40 11.96 Poland 14.6612.2710.4010.5213.10
2 Wojciech Knott 13.81 16.50 Poland 23.9015.4913.8116.3617.66
3 Wojciech Szatanowski 14.48 19.14 Poland 17.7627.5617.7821.8814.48

Pyraminx

# Name Best Average Representing Solves
1 Piotr Tokarski 2.75 3.98 Poland 4.704.634.492.832.75
2 Mateusz Szwugier 4.13 4.78 Poland 5.364.764.215.384.13
3 Szymon Liszewski 3.96 5.22 Poland 7.175.735.594.353.96

Skewb

# Name Best Average Representing Solves
1 Jonatan Kłosko 2.68 2.90 Poland 3.052.722.682.923.42
2 Michał Krasowski 3.36 3.64 Poland 3.913.993.383.623.36
3 Przemysław Kaleta 3.36 4.30 Poland 3.364.046.513.914.94
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