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OWC 2023 ⬥ Qualifier Results- only the best run for each team is shown (and counted)
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OVERALLNM1Omoi - Greenlights Serenade [Extreme]NM2FRASER EDWARDS - Alone [Legend]NM3Kabocha feat. Sennzai - Morphobia [Blue Wings]NM4Zekk - Vespera [Twilight]HD1Yunosuke - GLAZ [LOCK]HD2SECONDWALL - Natsu no Owari [Expert feat. Heroine]HR1Nekrogoblikon - Row [woo]HR2Umeboshi Chazuke - Banana! DX Choco Crepe! [banana]DT1JOYLESS - Dream [garf]DT2A-One feat. Shihori - Bamboo Dance [Lunatic]DT3Sable Hills - Not Falling [Vid]
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#team%max sum â–¼avg, score#team%max â–¼scorerun#team%max â–¼scorerun#team%max â–¼scorerun#team%max â–¼scorerun#team%max â–¼scorerun#team%max â–¼scorerun#team%max â–¼scorerun#team%max â–¼scorerun#team%max â–¼scorerun#team%max â–¼scorerun#team%max â–¼scorerun
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#1
South Korea10.3413,459,368#1
South Korea1.0003,673,8072#1
United States1.0003,676,6851#1
United States1.0003,445,7412#1
United States1.0003,584,0522#1
Canada1.0002,782,5232#1
United Kingdom1.0003,215,6802#1
Germany1.0004,045,8932#1
South Korea1.0003,334,7572#1
Australia1.0004,777,6011#1
Poland1.0004,164,4131#1
Russian Federation1.0003,787,9852
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#2
Poland10.3303,461,296#2
Italy0.9663,548,5482#2
Russian Federation0.8453,105,5651#2
South Korea0.9813,378,9221#2
South Korea0.9943,561,9601#2
United Kingdom0.9832,735,4932#2
Poland0.8942,873,9222#2
South Korea0.9994,040,8012#2
Poland0.9963,322,3701#2
Italy0.9864,709,9862#2
South Korea0.9764,063,9222#2
Poland0.9693,669,5892
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#3
United States10.1663,394,857#3
Poland0.9573,517,5192#3
Australia0.8443,101,9111#3
Poland0.9613,310,1512#3
Indonesia0.9623,447,2261#3
United States0.9812,728,3712#3
United States0.8882,856,4191#3
Poland0.9413,805,8762#3
New Zealand0.9903,300,6272#3
Romania0.9814,687,0991#3
Australia0.9583,988,0881#3
South Korea0.9663,657,7332
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#4
Russian Federation9.5523,201,004#4
Indonesia0.9013,310,5792#4
China0.8283,045,2952#4
Indonesia0.9423,245,4831#4
Chile0.9433,379,7161#4
South Korea0.9652,685,3662#4
South Korea0.8522,738,9372#4
Philippines0.9253,742,0362#4
Australia0.9573,192,4602#4
Canada0.9714,637,8271#4
Canada0.9303,873,5452#4
United States0.9123,455,0892
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#5
Philippines9.4163,159,424#5
United States0.8593,154,5061#5
New Zealand0.8092,974,7842#5
Russian Federation0.9173,159,0962#5
Philippines0.9423,377,0631#5
Poland0.9502,642,0921#5
France0.8252,652,5901#5
United States0.9233,733,6421#5
Romania0.9513,172,0051#5
Sweden0.9654,608,4021#5
Germany0.9173,816,9051#5
Philippines0.8133,077,9971
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#6
Germany9.3863,145,592#6
Philippines0.8333,059,8761#6
Poland0.7902,903,9031#6
Germany0.9063,122,2451#6
Russian Federation0.9343,348,5352#6
Russian Federation0.9002,505,0591#6
Germany0.7872,529,8101#6
Russian Federation0.8963,626,6242#6
Russian Federation0.9473,158,4301#6
Poland0.9644,603,3572#6
United States0.9093,787,3061#6
China0.8113,072,0272
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#7
Australia9.2723,130,240#7
France0.8273,038,2951#7
Hong Kong0.7652,812,4622#7
Philippines0.9063,120,5702#7
Poland0.9103,261,0692#7
Philippines0.8812,450,5771#7
Canada0.7752,491,0742#7
Indonesia0.8443,414,0172#7
Germany0.9303,101,4552#7
Philippines0.9174,381,3452#7
Philippines0.8703,624,1151#7
Chile0.7832,965,8251
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#8
United Kingdom8.9362,958,103#8
Germany0.8052,956,2481#8
United Kingdom0.7472,746,1322#8
Chile0.8132,801,4802#8
Brazil0.8823,161,8802#8
Germany0.8472,357,7721#8
Philippines0.7682,468,9832#8
Australia0.8393,394,4681#8
Italy0.9173,058,0432#8
Chile0.9134,361,2132#8
Japan0.8623,588,7761#8
Italy0.7822,961,0362
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#9
Indonesia8.9162,981,512#9
Australia0.8002,940,7942#9
Romania0.7402,721,1651#9
United Kingdom0.8062,778,1052#9
Italy0.8803,154,8271#9
Romania0.8222,286,7922#9
Singapore0.7352,362,4171#9
Canada0.8333,368,9162#9
China0.8942,982,6792#9
Russian Federation0.9094,344,5422#9
Hong Kong0.8453,518,4102#9
Germany0.7792,952,6512
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#10
Chile8.7212,938,185#10
United Kingdom0.8002,938,0682#10
Chile0.7242,663,3231#10
Hong Kong0.8042,768,8672#10
Germany0.8773,141,8351#10
Australia0.7912,202,2681#10
Indonesia0.7342,361,8982#10
Norway0.8173,306,0862#10
Indonesia0.8532,845,9932#10
South Korea0.9074,331,1801#10
Chile0.8433,509,0832#10
Australia0.7712,921,2461
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#11
Canada8.6352,900,683#11
Russian Federation0.7902,900,7042#11
Indonesia0.7232,658,2921#11
Australia0.8002,755,6021#11
Hong Kong0.8453,027,8362#11
Hong Kong0.7792,166,3042#11
Chile0.7262,335,9452#11
United Kingdom0.8123,286,5451#11
Japan0.8502,835,3282#11
United States0.8824,214,5171#11
Taiwan0.7993,326,7521#11
Brazil0.7282,759,1552
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#12
Romania8.4962,851,873#12
Thailand0.7642,808,1952#12
Philippines0.7122,618,4551#12
Romania0.7592,614,1972#12
Romania0.8142,918,0492#12
Indonesia0.7492,082,9751#12
Finland0.7162,301,6992#12
Chile0.7973,225,0782#12
Philippines0.8492,832,6522#12
Germany0.8353,991,2112#12
Ukraine0.7993,325,7381#12
New Zealand0.7062,672,6362
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#13
Hong Kong8.4012,822,615#13
Romania0.7642,807,7542#13
South Korea0.7032,585,6591#13
Brazil0.7582,611,8002#13
Turkey0.8132,912,0691#13
China0.7242,015,1281#13
Australia0.7062,268,7722#13
China0.7973,224,4992#13
United Kingdom0.8382,794,4972#13
Hong Kong0.8113,873,9822#13
France0.7963,316,5002#13
Hong Kong0.6872,602,1772
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#14
Italy8.2482,796,035#14
Hong Kong0.7632,804,4581#14
Germany0.7032,585,4881#14
Netherlands0.7462,569,8822#14
Australia0.8062,889,4301#14
Chile0.7212,004,9871#14
China0.7022,256,2521#14
Italy0.7693,111,2851#14
Chile0.8372,789,7161#14
Indonesia0.7913,777,8231#14
Russian Federation0.7683,198,0141#14
France0.6812,578,1272
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#15
France8.1052,710,515#15
Finland0.7532,766,0152#15
Japan0.6842,515,3911#15
Japan0.7232,491,4402#15
Norway0.7942,845,5522#15
France0.6631,845,1232#15
Japan0.6872,210,0632#15
New Zealand0.7663,099,8161#15
Spain0.8132,709,7322#15
United Kingdom0.7623,640,5131#15
Indonesia0.7613,168,3242#15
United Kingdom0.6662,522,6251
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#16
China8.0482,677,555#16
China0.7522,763,6862#16
Brazil0.6822,508,8592#16
China0.7212,485,3682#16
France0.7892,826,5571#16
Norway0.6591,834,2831#16
Thailand0.6702,155,4341#16
Romania0.7643,091,5741#16
United States0.8122,707,0982#16
Finland0.7453,558,4432#16
United Kingdom0.7353,060,5561#16
Indonesia0.6562,484,0222
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#17
Japan7.8012,621,866#17
Sweden0.7272,671,5952#17
Thailand0.6742,476,5542#17
Italy0.7192,478,8472#17
United Kingdom0.7872,820,9241#17
Singapore0.6441,791,2922#17
Romania0.6582,117,2502#17
Hong Kong0.7593,070,3762#17
Brazil0.7882,628,1022#17
New Zealand0.7293,480,7602#17
Turkey0.7142,972,0932#17
Canada0.6502,462,9992
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#18
Brazil7.6532,574,445#18
Malaysia0.7192,639,7262#18
Taiwan0.6692,460,0551#18
Finland0.7092,442,7802#18
Sweden0.7832,805,6452#18
Ukraine0.6291,750,9802#18
Hong Kong0.6532,100,5252#18
Mexico0.7563,059,4842#18
Norway0.7862,621,1302#18
Ukraine0.7283,478,2232#18
New Zealand0.7102,954,9342#18
Japan0.6462,448,1521
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#19
New Zealand7.5992,558,399#19
Denmark0.7132,620,6111#19
Turkey0.6692,459,5971#19
Turkey0.7032,422,7601#19
Singapore0.7812,798,7602#19
Netherlands0.6291,749,4942#19
Russian Federation0.6462,076,4881#19
Japan0.7362,977,1102#19
France0.7832,609,9901#19
Thailand0.7123,402,9932#19
Brazil0.7012,918,0732#19
Finland0.6352,406,2311
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#20
Finland7.3562,471,287#20
Ukraine0.6902,534,9981#20
Canada0.6632,437,0122#20
Spain0.6972,400,2342#20
Mexico0.7692,754,9622#20
New Zealand0.6011,671,2591#20
Netherlands0.6272,015,9601#20
France0.7162,898,7241#20
Singapore0.7802,601,7021#20
Argentina0.6963,324,6722#20
Romania0.6612,750,9282#20
Kazakhstan0.6352,404,7211
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#21
Singapore7.3032,432,193#21
Spain0.6582,416,4311#21
France0.6462,375,6501#21
Canada0.6862,365,2492#21
Denmark0.7662,744,5562#21
Thailand0.5961,657,6452#21
Sweden0.6111,963,8821#21
Brazil0.7002,832,2071#21
Mexico0.7702,567,0802#21
Turkey0.6953,321,1001#21
Argentina0.6562,732,9172#21
Spain0.6102,309,7491
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#22
Norway7.1932,403,118#22
Japan0.6542,403,4932#22
Argentina0.6312,319,2602#22
France0.6862,363,2281#22
Canada0.7632,735,5072#22
Finland0.5881,636,7131#22
Norway0.6091,959,7002#22
Singapore0.6982,822,5392#22
Canada0.7642,546,1331#22
France0.6933,310,8832#22
Malaysia0.6552,728,8192#22
Singapore0.5882,226,7591
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#23
Sweden7.1582,435,093#23
Brazil0.6492,383,7542#23
Finland0.6282,309,0372#23
Sweden0.6472,230,2561#23
Netherlands0.7572,714,7132#23
Mexico0.5581,552,1012#23
Italy0.5971,919,2331#23
Netherlands0.6902,793,5112#23
Turkey0.7602,535,0461#23
Brazil0.6893,292,6392#23
Finland0.6532,717,6722#23
Taiwan0.5852,216,8271
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#24
Ukraine7.1072,397,044#24
Norway0.6482,379,7892#24
Singapore0.6252,297,9371#24
Norway0.6132,113,9101#24
Israel0.7332,625,5801#24
Japan0.5561,547,0251#24
Taiwan0.5871,886,2201#24
Spain0.6822,757,9601#24
Israel0.7492,496,3151#24
United Arab Emirates0.6883,286,7692#24
Singapore0.6352,643,1652#24
Romania0.5822,203,7931
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#25
Turkey6.9822,366,035#25
Singapore0.6432,363,4011#25
Italy0.6112,245,1531#25
Taiwan0.5932,042,1311#25
Japan0.7322,623,3702#25
Denmark0.5511,532,0822#25
Ukraine0.5781,860,0112#25
Ukraine0.6812,754,2221#25
Belarus0.7302,433,3472#25
Uruguay0.6763,231,7422#25
Sweden0.6182,574,6302#25
Norway0.5812,199,8672
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#26
Taiwan6.8372,318,130#26
Argentina0.6402,352,0161#26
Spain0.5942,184,9201#26
Singapore0.5761,985,5221#26
Spain0.7232,591,1022#26
Sweden0.5451,515,9512#26
Malaysia0.5451,753,7081#26
Belgium0.6742,727,5691#26
Ukraine0.7132,376,5552#26
Japan0.6703,200,3811#26
China0.6122,547,9111#26
Sweden0.5271,995,1141
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#27
Spain6.7732,264,142#27
Taiwan0.6382,342,7152#27
Belarus0.5842,146,5962#27
Ukraine0.5561,916,3882#27
Finland0.7072,532,7321#27
Brazil0.5411,505,7432#27
New Zealand0.5381,730,8582#27
Kazakhstan0.6612,673,2892#27
Hong Kong0.6912,303,3642#27
Taiwan0.6563,135,4321#27
Hungary0.6092,534,7721#27
Ukraine0.5251,990,0372
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#28
Mexico6.6562,237,655#28
Mexico0.6312,319,7382#28
Ukraine0.5542,035,5011#28
Israel0.5551,914,0701#28
Saudi Arabia0.6972,499,1082#28
Italy0.4961,379,6811#28
Brazil0.5341,716,6832#28
Sweden0.6592,666,6502#28
Thailand0.6892,297,6421#28
Mexico0.6533,121,7081#28
Kazakhstan0.5872,444,7211#28
Netherlands0.5221,975,7592
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#29
Netherlands6.6212,201,197#29
Cambodia0.6252,297,2882#29
Kazakhstan0.5081,869,0121#29
Mexico0.5531,906,3412#29
Latvia0.6822,444,3662#29
Spain0.4791,331,7101#29
Belgium0.5261,690,8351#29
Turkey0.6592,664,8332#29
Malaysia0.6422,139,2552#29
Kazakhstan0.6453,081,0901#29
Norway0.5542,307,4531#29
Mexico0.5171,958,6702
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#30
Thailand6.5652,193,178#30
Chile0.6222,283,6741#30
Norway0.4891,796,7292#30
Kazakhstan0.5531,905,4112#30
Argentina0.6822,443,6651#30
Latvia0.4521,256,4941#30
Spain0.5071,630,8072#30
Taiwan0.6552,650,4191#30
Kazakhstan0.6152,052,1731#30
Norway0.6433,069,7952#30
Mexico0.5502,288,9052#30
Hungary0.5101,930,5432
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#31
Argentina6.3092,140,036#31
Mongolia0.6212,280,1482#31
Saudi Arabia0.4831,775,9621#31
Belarus0.5511,897,7232#31
Uruguay0.6672,388,8421#31
Taiwan0.4411,227,1222#31
Argentina0.5041,619,9772#31
Portugal0.6492,626,7182#31
Estonia0.6142,048,2392#31
China0.6182,954,0951#31
Portugal0.5432,259,7242#31
Turkey0.5091,928,6812
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#32
Kazakhstan6.1402,086,765#32
Austria0.6102,242,6901#32
Czechia0.4801,765,2681#32
Thailand0.5421,869,1311#32
Ukraine0.6542,344,8361#32
Argentina0.4401,224,8582#32
Turkey0.4771,535,3212#32
Finland0.6102,469,1342#32
Finland0.6132,043,6961#32
Hungary0.6082,905,7582#32
Italy0.5262,189,7481#32
Argentina0.4991,891,5022
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#33
Malaysia6.0312,041,506#33
Turkey0.6052,222,0151#33
Sweden0.4801,763,9102#33
Estonia0.5341,839,6731#33
Taiwan0.6482,321,9151#33
Israel0.4311,199,9951#33
Mexico0.4731,520,0332#33
Thailand0.5722,314,5592#33
Netherlands0.6072,022,9041#33
Malaysia0.6062,897,3281#33
Belgium0.5062,106,9562#33
Malaysia0.4871,846,2422
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#34
Israel5.7901,930,594#34
New Zealand0.6042,219,0092#34
Lithuania0.4651,710,7672#34
New Zealand0.5331,835,6662#34
Estonia0.6412,297,8671#34
Saudi Arabia0.4301,196,4061#34
Portugal0.4531,455,1762#34
Denmark0.5662,291,1061#34
Sweden0.5971,989,9922#34
Estonia0.6042,885,0882#34
Netherlands0.4832,012,2622#34
Israel0.4861,842,0672
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#35
Denmark5.7641,923,570#35
Canada0.6012,206,7262#35
Vietnam0.4621,700,1311#35
Argentina0.5231,803,4052#35
Kazakhstan0.6382,288,2052#35
Belarus0.4251,182,6882#35
Israel0.4441,427,0111#35
Uruguay0.5662,290,9402#35
Belgium0.5961,988,8251#35
Singapore0.5992,860,6301#35
Vietnam0.4832,009,6402#35
Uruguay0.4761,802,8712
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#36
Hungary5.6181,906,952#36
Portugal0.5982,195,7991#36
Israel0.4621,699,4101#36
Denmark0.5171,783,0672#36
Malaysia0.6202,223,2151#36
Uruguay0.4021,119,3242#36
Kazakhstan0.4351,399,0101#36
Estonia0.5562,250,0631#36
Denmark0.5841,948,7691#36
Austria0.5982,858,3951#36
Denmark0.4611,917,8412#36
Czechia0.4651,759,7742
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#37
Belgium5.5841,880,677#37
Vietnam0.5922,175,9862#37
Portugal0.4501,654,5002#37
Uruguay0.4871,678,5982#37
Vietnam0.6192,220,1302#37
Colombia0.3971,104,0001#37
Hungary0.4171,341,6861#37
Lithuania0.5492,219,9072#37
Hungary0.5791,932,3181#37
Czechia0.5902,818,2631#37
Spain0.4261,774,4472#37
Belarus0.4581,733,0142
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#38
Uruguay5.5151,873,738#38
Netherlands0.5922,173,7451#38
Denmark0.4371,607,9401#38
Vietnam0.4811,656,4751#38
Hungary0.6172,210,8412#38
Belgium0.3941,096,4911#38
Austria0.4171,340,6112#38
Malaysia0.5462,207,2282#38
Vietnam0.5761,920,3462#38
Spain0.5862,798,4672#38
Uruguay0.4211,752,2332#38
Estonia0.4401,666,8792
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#39
Portugal5.4951,855,838#39
Estonia0.5902,167,4162#39
Mexico0.4261,565,1782#39
Hungary0.4811,656,4032#39
New Zealand0.6142,202,0401#39
Turkey0.3781,052,8652#39
Latvia0.3881,248,2181#39
Czechia0.5362,170,3722#39
Portugal0.5671,890,6132#39
Cambodia0.5852,794,1101#39
Thailand0.4111,710,0571#39
Thailand0.4051,535,8182
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#40
Belarus5.4311,807,011#40
Hungary0.5842,145,9442#40
Austria0.4181,535,8251#40
Czechia0.4661,605,5682#40
Belgium0.5992,148,0422#40
Austria0.3771,047,6892#40
Lithuania0.3831,230,2571#40
Vietnam0.5242,119,8541#40
Taiwan0.5671,889,8431#40
Netherlands0.5672,709,0141#40
Czechia0.4081,699,1752#40
Portugal0.4041,528,7972
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#41
Estonia5.1801,744,546#41
Israel0.5742,108,1571#41
Belgium0.4171,533,5352#41
Saudi Arabia0.4431,527,8861#41
Belarus0.5962,135,6932#41
Estonia0.3741,040,2601#41
Estonia0.3661,176,6691#41
Argentina0.5182,095,9791#41
Czechia0.5641,880,6871#41
Israel0.5442,599,2641#41
Austria0.4041,680,3781#41
Belgium0.3781,433,0352
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#42
Vietnam5.1691,745,088#42
Uruguay0.5642,072,2742#42
Malaysia0.4111,511,2022#42
Latvia0.4381,508,5292#42
China0.5882,106,1671#42
Kazakhstan0.3711,031,9252#42
Colombia0.3471,115,8972#42
Latvia0.5092,059,8512#42
Uruguay0.5421,807,8361#42
Saudi Arabia0.5372,567,9072#42
Latvia0.3951,643,1832#42
United Arab Emirates0.3691,398,7472
51
#43
Austria5.1551,742,198#43
Belgium0.5642,071,2262#43
Netherlands0.4011,475,9282#43
Austria0.4351,499,2462#43
Portugal0.5712,045,3051#43
Malaysia0.3701,028,6831#43
Uruguay0.3371,084,5802#43
Cambodia0.5072,050,4042#43
Austria0.5221,740,2352#43
Belgium0.5172,471,5971#43
Belarus0.3771,569,0472#43
Vietnam0.3611,367,0401
52
#44
Czechia5.0741,729,518#44
Belarus0.5522,027,7822#44
Uruguay0.3761,381,8781#44
Colombia0.4331,492,3262#44
Austria0.5571,997,2502#44
Hungary0.3651,016,7802#44
Denmark0.3321,067,1491#44
Hungary0.4982,016,3482#44
Argentina0.5191,732,1482#44
Latvia0.5022,397,0931#44
United Arab Emirates0.3391,411,5551#44
Denmark0.3521,333,7642
53
#45
Saudi Arabia4.9671,668,352#45
Colombia0.5311,950,7042#45
Latvia0.3731,373,1251#45
Malaysia0.4301,481,1641#45
Lithuania0.5551,988,2912#45
Portugal0.354984,4422#45
Saudi Arabia0.3301,062,1501#45
Austria0.4881,975,4202#45
Latvia0.4941,648,4512#45
Portugal0.4852,318,5111#45
Israel0.3371,401,8991#45
Lithuania0.3411,293,0662
54
#46
Latvia4.9401,655,513#46
South Africa0.5271,935,5902#46
Hungary0.3501,285,0822#46
Portugal0.4221,454,6311#46
Thailand0.5291,896,9262#46
Vietnam0.331920,1122#46
Switzerland0.3131,004,9692#46
Israel0.4751,922,7612#46
Lithuania0.4851,617,3661#46
Denmark0.4842,312,3871#46
Colombia0.3231,343,0791#46
Austria0.3291,246,4422
55
#47
Lithuania4.5581,537,059#47
Saudi Arabia0.5171,898,7531#47
United Arab Emirates0.3241,189,7762#47
Belgium0.4121,419,3342#47
Slovakia0.4941,770,1131#47
Slovakia0.308857,7582#47
Czechia0.295948,2592#47
Belarus0.4721,909,2311#47
Saudi Arabia0.4541,514,2772#47
Vietnam0.4652,220,2062#47
Saudi Arabia0.3081,283,3602#47
Cambodia0.3121,180,7732
56
#48
Cambodia4.1661,432,747#48
Czechia0.5101,873,2001#48
Mongolia0.3061,125,2072#48
South Africa0.4061,398,4762#48
Czechia0.4861,742,2562#48
Switzerland0.300835,6271#48
Croatia0.286918,3582#48
Saudi Arabia0.4701,901,3301#48
United Arab Emirates0.4071,358,8092#48
Mongolia0.4412,107,6152#48
Mongolia0.2991,244,7112#48
Saudi Arabia0.2971,124,7322
57
#49
United Arab Emirates4.1011,420,705#49
Kazakhstan0.4911,804,8551#49
Cambodia0.2721,000,8412#49
Lithuania0.3901,345,3321#49
Colombia0.4791,715,0381#49
Czechia0.274761,8801#49
Belarus0.284913,2331#49
Colombia0.4461,804,8562#49
Cambodia0.3931,311,0892#49
Lithuania0.4312,059,3472#49
Cambodia0.2721,133,2791#49
Latvia0.2821,066,5181
58
#50
Colombia4.0531,353,254#50
Slovakia0.4531,663,5552#50
South Africa0.249916,2681#50
Panama0.3801,309,2532#50
Mongolia0.4241,519,1472#50
Panama0.248690,3461#50
Panama0.283908,5801#50
Mongolia0.4281,733,2771#50
Colombia0.3751,250,8561#50
South Africa0.4091,954,7932#50
Lithuania0.2711,130,4892#50
Mongolia0.2691,018,6322
59
#51
Mongolia4.0031,359,885#51
India0.4521,661,0861#51
Estonia0.211774,1622#51
Slovakia0.3711,276,7241#51
Cambodia0.4111,473,4611#51
Lithuania0.236658,0462#51
Vietnam0.276886,0522#51
United Arab Emirates0.3841,554,1111#51
Mongolia0.3531,178,6811#51
Belarus0.4041,928,7691#51
South Africa0.2661,109,6182#51
Panama0.234887,8131
60
#52
Panama3.3981,145,791#52
Lithuania0.4501,654,7822#52
Slovakia0.192706,0182#52
Mongolia0.3541,221,2572#52
Panama0.3951,414,3371#52
Mongolia0.233648,7482#52
Mongolia0.274881,3151#52
South Africa0.3431,389,0942#52
Croatia0.3491,162,9931#52
Switzerland0.3931,878,6931#52
Panama0.2581,073,1392#52
Colombia0.225850,4132
61
#53
Slovakia3.3621,114,713#53
Switzerland0.4421,623,1872#53
Panama0.166609,9751#53
United Arab Emirates0.3421,177,4672#53
United Arab Emirates0.3671,315,8281#53
India0.232645,5341#53
United Arab Emirates0.249801,6191#53
Panama0.3311,338,3822#53
Switzerland0.3461,153,8971#53
Panama0.3901,862,9701#53
Estonia0.2511,043,6871#53
Croatia0.201760,3532
62
#54
South Africa3.3491,141,540#54
Latvia0.4261,564,8192#54
Croatia0.165608,4831#54
Cambodia0.3321,143,8601#54
Switzerland0.3261,168,5061#54
Cambodia0.220611,7761#54
India0.238764,8781#54
Slovakia0.2851,154,6102#54
Panama0.3351,117,5101#54
Colombia0.3861,843,4052#54
Slovakia0.223929,2151#54
Slovakia0.200758,0871
63
#55
Switzerland3.1991,068,495#55
United Arab Emirates0.4231,555,1192#55
Switzerland0.135496,5761#55
Switzerland0.3321,142,3721#55
Croatia0.3111,113,5532#55
United Arab Emirates0.208577,9601#55
Cambodia0.237763,3361#55
Switzerland0.2731,105,1671#55
Slovakia0.3331,110,7612#55
Croatia0.3121,491,2602#55
Switzerland0.152633,8061#55
Switzerland0.188710,6471
64
#56
Croatia2.892969,311#56
Panama0.3791,391,3951#56
India0.121445,0711#56
India0.3271,126,1042#56
India0.3061,095,0391#56
Croatia0.178495,7081#56
Slovakia0.235756,0662#56
Croatia0.2661,077,8752#56
South Africa0.3081,025,9512#56
Slovakia0.2681,278,9312#56
Croatia0.152632,3241#56
South Africa0.163617,7602
65
#57
India2.690892,297#57
Croatia0.3721,366,5941#57
Colombia0.113415,2251#57
Croatia0.3001,034,9222#57
South Africa0.2911,042,5312#57
South Africa0.178494,7102#57
South Africa0.209672,1461#57
India0.209846,1902#57
India0.278927,7061#57
India0.2521,205,3502#57
India0.149622,0412#57
India0.126476,2672
66
67