Floripa ao Cubo 2022


Date
Oct 29 - 30, 2022
City
Florianópolis, Santa Catarina, Brazil
Venue

Floripa Shopping

Address
Rodovia SC-401, nº 3.116 Saco Grande, 88032-005 Florianópolis (SC)
Details

Piso L3 ao lado da Smart Fit

Contact

Murillo Otero

Organizers
Ana Lúcia Pintro and Eliete Ananias dos Santos
WCA Delegate
Murillo Gomes Otero
Download all the competition's details as PDF here.
Information

🇧🇷 Bem-vindos ao primeiro campeonato sediado em Florianópolis!

Sua inscrição só será aprovada no site da WCA após a confirmação do pagamento, que deverá ser efetuado de forma antecipada - mais informações na aba Inscrever. Se tiver dificuldades em se inscrever, veja como fazer neste vídeo.

Favor ler o Regulamento da WCA antes da competição.

Teremos premiação para todas as modalidades oficiais e premiação extra-oficial para o feminino e para iniciantes na modalidade 'Cubo 3x3x3'.


🇺🇸 Welcome to the first competition at Florianópolis!

Your registration will only be approved in the WCA website after payment confirmation, which must be made in advance - more information in the Register tab. If you have any problem with how to register, take a look at this video.

Please read the WCA Regulations before the competition.

We will have awards for all official events, and also, unofficial awards for women and for beginners in the '3x3x3 Cube' event.

Events
Main event
Competitors
61
Registration period

Online registration opened Saturday, September 24, 2022 at 12:00 AM UTC and closed Thursday, October 27, 2022 at 3:00 AM 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.

Caio Hideaki Sato won with an average of 6.49 seconds in the 3x3x3 Cube event. Francisco Moraes Mandalozzo finished second (8.22) and Vitor Wagner Abreu finished third (9.42).

South American records: Caio Hideaki Sato‎ 3x3x3 Cube 6.41 (average); Francisco Moraes Mandalozzo‎ 6x6x6 Cube 1:26.71 (single) and 6x6x6 Cube 1:32.82 (average).

3x3x3 Cube

# Name Best Average Representing Solves
1 Caio Hideaki Sato 5.85 6.49 Brazil 6.345.857.776.486.65
2 Francisco Moraes Mandalozzo 5.83 8.22 Brazil 7.809.045.839.367.83
3 Vitor Wagner Abreu 8.14 9.42 Brazil 9.268.149.159.8610.33

2x2x2 Cube

# Name Best Average Representing Solves
1 Francisco Moraes Mandalozzo 1.79 1.98 Brazil 2.301.843.221.801.79
2 Caio Hideaki Sato 1.38 2.20 Brazil 1.884.572.521.382.21
3 Vitor Wagner Abreu 2.72 3.14 Brazil 3.1818.863.022.723.22

4x4x4 Cube

# Name Best Average Representing Solves
1 Caio Hideaki Sato 23.62 30.55 Brazil 23.6231.2727.8032.9432.57
2 Francisco Moraes Mandalozzo 24.91 31.44 Brazil 32.9029.2032.2324.9135.46
3 Nícolas Raubach Munari 35.97 39.10 Brazil 39.3140.1943.0437.8035.97

5x5x5 Cube

# Name Best Average Representing Solves
1 Francisco Moraes Mandalozzo 48.90 53.42 Brazil 56.4256.4048.9050.5653.30
2 Caio Hideaki Sato 56.82 1:04.25 Brazil 1:01.381:09.7156.821:06.111:05.26
3 Nícolas Raubach Munari 1:18.15 1:24.03 Brazil 1:33.271:18.151:26.561:27.091:18.44

6x6x6 Cube

# Name Best Average Representing Solves
1 Francisco Moraes Mandalozzo 1:26.71 SAR 1:32.82 SAR Brazil 1:39.441:26.711:32.31
2 Aharon Campoli Tono 1:53.52 2:04.34 Brazil 2:24.061:55.451:53.52
3 Nícolas Raubach Munari 2:22.70 2:31.39 Brazil 2:25.552:22.702:45.91

7x7x7 Cube

# Name Best Average Representing Solves
1 Aharon Campoli Tono 2:23.71 NR 2:30.86 NR Brazil 2:30.642:38.242:23.71
2 Francisco Moraes Mandalozzo 2:38.86 2:43.91 Brazil 2:47.572:45.302:38.86
3 Christian de Sena Fortunato 4:31.03 5:23.96 Brazil 6:21.874:31.035:18.97

3x3x3 Blindfolded

# Name Best Average Representing Solves
1 Francisco Moraes Mandalozzo 34.72 44.58 Brazil 1:01.4737.5534.72
2 Guilherme Cruz Furlan 1:27.19 DNF Brazil 1:40.52DNF1:27.19
3 Aharon Campoli Tono 3:17.38 DNF Brazil 3:17.38DNF4:43.65

3x3x3 One-Handed

# Name Best Average Representing Solves
1 Caio Hideaki Sato 10.24 11.81 Brazil 12.5213.0812.1610.7410.24
2 Francisco Moraes Mandalozzo 11.00 12.96 Brazil 14.7713.5011.0011.6113.76
3 Suzane Coelho 16.83 18.07 Brazil 18.3117.4318.4716.8319.68

Clock

# Name Best Average Representing Solves
1 Francisco Moraes Mandalozzo 5.07 NR 7.11 Brazil 7.145.888.325.0711.56
2 Caio Hideaki Sato 7.60 8.54 Brazil 8.52DNF7.608.278.84
3 Suzane Coelho 10.49 10.97 Brazil 14.1710.5611.8210.4910.53

Megaminx

# Name Best Average Representing Solves
1 Vitor Wagner Abreu 32.26 NR 35.16 NR Brazil 32.2641.9333.4834.0637.93
2 Francisco Moraes Mandalozzo 37.23 43.98 Brazil 42.9537.2344.7944.2146.73
3 Caio Hideaki Sato 41.82 45.01 Brazil 41.8243.5855.2444.8546.59

Pyraminx

# Name Best Average Representing Solves
1 Francisco Moraes Mandalozzo 2.86 3.62 Brazil 3.922.863.073.893.91
2 Caio Hideaki Sato 2.89 4.04 Brazil 3.474.972.894.504.16
3 Vitor Wagner Abreu 3.66 4.34 Brazil 4.144.543.664.345.67

Skewb

# Name Best Average Representing Solves
1 Caio Hideaki Sato 2.71 3.19 Brazil 3.032.713.562.993.74
2 Francisco Moraes Mandalozzo 3.10 3.50 Brazil 4.203.334.063.103.12
3 Aharon Campoli Tono 3.70 5.45 Brazil 8.154.694.826.833.70

Square-1

# Name Best Average Representing Solves
1 Francisco Moraes Mandalozzo 9.15 12.61 Brazil 11.3112.919.1513.7813.60
2 Vitor Wagner Abreu 14.71 16.65 Brazil 17.7920.2414.7116.4315.72
3 Eduardo Simici 12.06 16.66 Brazil 19.4112.0616.6524.5513.93
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