Cube Factory League Final 2019


Date
Jun 22 - 23, 2019
City
Łódź, Poland
Venue

Łódzki Dom Kultury

Address
ul. Traugutta 18, 90-113 Łódź
Details

Sala kolumnowa na parterze.

Website
Cube Factory League Final 2019 website
Contact

Cube Factory League Organization Team

Organizers
Franciszek Fidos, Krzysztof Bober, Mateusz Szwugier, and Szymon Jeziorski
WCA Delegate
Przemysław Rogalski
Download all the competition's details as PDF here.
Information

Cube Factory League zaprasza na finałowe zawody sezonu 2018/2019!


Cube Factory League invites you for final competition of 2018/2019 season!

Events
Main event
Competitors
41
Registration period

Online registration opened and closed .

Registration requirements
This competition is over, click here to display the registration requirements it used.
Register for this competition here.
There is a competitor limit of 60 competitors.
The base registration fee for this competition is 40 zł (Polish Złoty).
If your registration is cancelled before you will be refunded 100% of your registration fee.
No on the spot registrations will be accepted.


Competition fee is paid by transfer to following account:
Name: Franciszek Fidos
Account number: PL 18 1090 1304 0000 0001 3531 9812
Title: CFL Final 2019 - name and surname

Cube Factory League members have discounted 35 PLN registration fee.

Opłata wpisowa jest płatna na następujące konto:
Adresat: Franciszek Fidos
Numer konta: PL 18 1090 1304 0000 0001 3531 9812
Tytułem: CFL Final 2019 - imię i nazwisko

Ligowcy Cube Factory League płacą obniżone wpisowe w wysokości 35 PLN.

Highlights
Click here to display the highlights of the competition.

Tymon Kolasiński won with an average of 6.42 seconds in the 3x3x3 Cube event. Łukasz Burliga finished second (8.62) and Michał Mlostek finished third (9.99).

3x3x3 Cube

# Name Best Average Representing Solves
1 Tymon Kolasiński 5.97 6.42 NR Poland 6.476.665.976.346.45
2 Łukasz Burliga 7.88 8.62 Poland 7.888.708.668.5010.39
3 Michał Mlostek 9.25 9.99 Poland 10.2911.0310.159.549.25

2x2x2 Cube

# Name Best Average Representing Solves
1 Michał Wojcieszek 2.34 2.55 Poland 2.442.342.822.383.36
2 Tymon Kolasiński 1.85 2.58 Poland 5.801.853.551.982.22
3 Adam Jagła 2.35 2.61 Poland 2.422.523.422.352.88

4x4x4 Cube

# Name Best Average Representing Solves
1 Tymon Kolasiński 28.02 30.23 Poland 29.8129.8931.0028.0231.73
2 Łukasz Burliga 28.32 32.55 Poland 31.0232.9737.6133.6628.32
3 Dawid Jasiński 31.60 36.58 Poland 38.7835.2339.5231.6035.72

5x5x5 Cube

# Name Best Average Representing Solves
1 Tymon Kolasiński 55.74 59.03 Poland 1:00.6856.801:13.6855.7459.61
2 Łukasz Burliga 58.57 1:02.22 Poland 58.571:04.641:01.881:04.231:00.54
3 Michał Mlostek 1:05.97 1:11.20 Poland 1:14.861:05.971:12.441:17.431:06.31

3x3x3 Blindfolded

# Name Best Average Representing Solves
1 Krzysztof Bober 41.80 DNF Poland DNFDNF41.80
2 Michał Bogdan 50.62 1:01.03 Poland 1:10.9650.621:01.51
3 Jakub Hamkało 2:10.54 DNF Poland 2:10.54DNFDNF

3x3x3 One-Handed

# Name Best Average Representing Solves
1 Łukasz Burliga 12.37 14.46 Poland 12.3718.5313.9215.5613.91
2 Dawid Jasiński 13.45 16.25 Poland 13.4517.0116.9718.0114.78
3 Kajetan Opach 15.35 17.77 Poland 18.2717.6815.3519.3417.37

Clock

# Name Best Average Representing Solves
1 Przemysław Rogalski 5.86 7.07 Poland 6.987.619.055.866.62
2 Michał Mlostek 8.20 8.58 Poland 8.618.268.889.428.20
3 Franciszek Fidos 11.52 12.97 Poland 12.5021.4911.5214.3512.06

Pyraminx

# Name Best Average Representing Solves
1 Tymon Kolasiński 1.68 2.12 Poland 1.682.432.191.743.15
2 Michał Mlostek 2.54 3.57 Poland 2.544.504.343.672.70
3 Mateusz Szwugier 2.61 3.63 Poland 2.613.823.373.714.15

Skewb

# Name Best Average Representing Solves
1 Łukasz Burliga 1.93 2.58 Poland 2.942.382.423.161.93
2 Michał Wojcieszek 4.65 5.36 Poland 5.584.654.925.595.64
3 Kajetan Opach 5.25 5.75 Poland 5.836.565.255.495.93

Square-1

# Name Best Average Representing Solves
1 Michał Krasowski 7.52 11.15 Poland 11.2811.7210.4613.057.52
2 Jakub Hamkało 16.16 18.38 Poland 17.7829.4916.1619.9917.38
3 Łukasz Stępień 16.24 18.40 Poland 16.9219.4219.2319.0516.24
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