osu!catch world cup 2023 | qualifier results and statistics

	C	D	F	G	H	J	K	L	M	N	O	P	S	T	U	V	W	X	AA	AB	AC	AD	AE	AF	AI	AJ	AK	AL	AM	AN	AQ	AR	AS	AT	AU	AV	AY	AZ	BA	BB	BC	BD	BG	BH	BI	BJ	BK	BL	BO	BP	BQ	BR	BS	BT	BW	BX	BY	BZ	CA	CB
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3	CWC 2023 - Qualifier Results					- only the best run for each team is shown (and counted)
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5	OVERALL						NM1	cordelia - Setsuna <= Imitation [Final Whim]					NM2	USAO - Interstellar Travel [Beyond Yoshi]					NM3	Annabel - wormhole [extra]					HD1	Denzel Curry - Walkin (Cold Blooded Soul Version) [Cold Blooded Eyez (CWC Version)]					HD2	Aoi vs. siqlo - Hacktivism [Denial of Service]					HR1	Rohi - Kodoku Egoism [Overdose]					HR2	Hino Isuka - Mechanical Jager [Automatic]					DT1	Feint - Laurence [Rain (CWC Ver.)]					DT2	-45 - Rougoku STRIP [Cage]
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7		#	team	%max sum ▼	avg, score		#		team	%max ▼	score	run	#		team	%max ▼	score ▼	run	#		team	%max ▼	score ▼	run	#		team	%max ▼	score ▼	run	#		team	%max ▼	score ▼	run	#		team	%max ▼	score ▼	run	#		team	%max ▼	score ▼	run	#		team	%max ▼	score ▼	run	#		team	%max ▼	score ▼	run
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9	QUALIFIED	#1	United States	8.9341	2,939,318		#1		South Korea	1.000	2,983,659	2	#1		United States	1.000	2,973,298	2	#1		South Korea	1.000	2,952,344	2	#1		Canada	1.000	2,904,777	1	#1		Philippines	1.000	2,888,992	2	#1		Germany	1.000	3,012,860	2	#1		United States	1.000	2,999,717	1	#1		United States	1.000	2,996,154	1	#1		South Korea	1.000	2,935,454	1
10		#2	South Korea	8.8544	2,913,168		#2		Canada	0.986	2,941,209	2	#2		Chile	0.994	2,954,317	1	#2		United States	0.988	2,917,435	2	#2		Chile	0.987	2,865,920	2	#2		United States	0.991	2,862,538	2	#2		United States	1.000	3,012,383	2	#2		Germany	0.977	2,929,835	1	#2		South Korea	0.990	2,965,898	1	#2		United States	0.995	2,919,431	1
11		#3	Canada	8.8177	2,900,658		#3		United States	0.981	2,926,853	1	#3		South Korea	0.992	2,948,322	1	#3		Poland	0.970	2,864,044	2	#3		Philippines	0.982	2,851,212	2	#3		South Korea	0.989	2,855,941	1	#3		Italy	0.999	3,011,301	2	#3		South Korea	0.963	2,889,523	2	#3		Indonesia	0.988	2,961,594	2	#3		Italy	0.981	2,879,497	1
12		#4	Chile	8.6883	2,858,252		#4		Chile	0.974	2,907,317	1	#4		Canada	0.983	2,922,280	2	#4		Canada	0.967	2,853,599	1	#4		United States	0.980	2,846,053	2	#4		Canada	0.982	2,837,115	2	#4		South Korea	0.992	2,988,406	1	#4		Italy	0.963	2,887,504	1	#4		Canada	0.972	2,911,411	2	#4		Canada	0.980	2,876,582	1
13		#5	Philippines	8.6645	2,850,017		#5		Italy	0.968	2,889,394	1	#5		Italy	0.980	2,913,908	1	#5		Finland	0.960	2,833,209	2	#5		Poland	0.945	2,744,026	2	#5		Indonesia	0.974	2,813,161	2	#5		Canada	0.991	2,987,247	2	#5		Taiwan	0.961	2,883,694	1	#5		Italy	0.969	2,903,192	1	#5		Poland	0.952	2,795,820	1
14		#6	Italy	8.6621	2,850,434		#6		Poland	0.953	2,843,477	2	#6		Mexico	0.970	2,885,585	2	#6		Italy	0.956	2,823,264	2	#6		Germany	0.939	2,726,813	1	#6		Poland	0.974	2,812,709	1	#6		Chile	0.987	2,974,958	1	#6		Japan	0.959	2,877,681	2	#6		Taiwan	0.967	2,897,210	1	#6		Chile	0.952	2,794,955	1
15		#7	Poland	8.6120	2,833,099		#7		Indonesia	0.952	2,839,884	1	#7		Russian Federation	0.957	2,844,739	1	#7		Indonesia	0.956	2,821,896	2	#7		South Korea	0.929	2,698,966	2	#7		Russian Federation	0.971	2,804,839	1	#7		Australia	0.983	2,962,200	2	#7		Canada	0.957	2,871,706	1	#7		Belgium	0.964	2,889,719	2	#7		Philippines	0.950	2,788,135	1
16		#8	Mexico	8.4804	2,790,362		#8		Germany	0.947	2,826,930	1	#8		Poland	0.956	2,841,417	2	#8		France	0.951	2,808,736	1	#8		Mexico	0.929	2,697,505	2	#8		Taiwan	0.966	2,790,089	1	#8		Philippines	0.979	2,948,654	1	#8		Philippines	0.945	2,834,346	2	#8		Chile	0.964	2,887,878	2	#8		Germany	0.944	2,770,532	2
17		#9	Indonesia	8.4704	2,786,752		#9		Philippines	0.945	2,819,246	1	#9		Philippines	0.951	2,827,012	2	#9		Philippines	0.951	2,807,114	2	#9		Italy	0.917	2,664,045	2	#9		Chile	0.965	2,787,163	2	#9		Poland	0.973	2,931,418	1	#9		Australia	0.941	2,823,731	2	#9		Philippines	0.963	2,885,441	1	#9		Mexico	0.940	2,759,458	2
18		#10	Taiwan	8.4698	2,786,848		#10		Mexico	0.943	2,813,795	2	#10		Germany	0.942	2,800,775	2	#10		Russian Federation	0.950	2,806,016	1	#10		Australia	0.916	2,659,778	1	#10		Italy	0.928	2,681,800	1	#10		Mexico	0.958	2,887,259	2	#10		Chile	0.933	2,799,108	1	#10		Poland	0.957	2,867,313	1	#10		Russian Federation	0.921	2,702,917	1
19		#11	Germany	8.4592	2,784,271		#11		Taiwan	0.942	2,811,247	1	#11		Taiwan	0.940	2,795,220	2	#11		Mexico	0.947	2,797,145	1	#11		Russian Federation	0.904	2,625,563	1	#11		Mexico	0.908	2,624,369	2	#11		Taiwan	0.957	2,883,508	1	#11		Poland	0.933	2,797,666	1	#11		Mexico	0.956	2,865,194	2	#11		Australia	0.920	2,701,656	1
20		#12	Russian Federation	8.4491	2,779,605		#12		Russian Federation	0.919	2,740,725	2	#12		Indonesia	0.936	2,782,123	2	#12		Hong Kong	0.940	2,774,383	2	#12		Indonesia	0.894	2,596,550	1	#12		Australia	0.893	2,580,234	1	#12		Colombia	0.956	2,880,952	1	#12		Belgium	0.931	2,794,155	1	#12		Russian Federation	0.956	2,863,949	2	#12		Taiwan	0.918	2,693,284	1
21		#13	Australia	8.3486	2,747,262		#13		Australia	0.915	2,730,299	1	#13		Belgium	0.925	2,749,291	2	#13		Norway	0.933	2,754,471	2	#13		Taiwan	0.893	2,593,936	1	#13		Finland	0.886	2,558,953	1	#13		France	0.955	2,877,145	1	#13		Mexico	0.928	2,782,952	2	#13		Japan	0.945	2,829,895	2	#13		Indonesia	0.915	2,685,254	2
22		#14	Belgium	8.1445	2,680,713		#14		Argentina	0.913	2,723,200	2	#14		France	0.919	2,733,841	2	#14		Chile	0.932	2,752,656	1	#14		Norway	0.868	2,520,783	1	#14		France	0.872	2,518,913	2	#14		Russian Federation	0.946	2,850,162	1	#14		Russian Federation	0.926	2,777,537	1	#14		Australia	0.943	2,825,694	1	#14		Finland	0.914	2,681,718	2
23		#15	Japan	8.1301	2,675,826		#15		Belgium	0.888	2,649,238	1	#15		Australia	0.915	2,721,191	2	#15		Germany	0.932	2,752,382	1	#15		Japan	0.850	2,468,225	2	#15		Japan	0.862	2,489,328	1	#15		Finland	0.938	2,825,158	2	#15		Indonesia	0.925	2,774,834	1	#15		Germany	0.941	2,820,570	1	#15		Sweden	0.910	2,671,428	2
24		#16	Finland	8.0469	2,647,460		#16		Japan	0.887	2,646,633	2	#16		Japan	0.914	2,716,204	2	#16		Taiwan	0.926	2,733,445	1	#16		Finland	0.846	2,456,205	2	#16		Belgium	0.842	2,432,098	2	#16		Norway	0.935	2,818,102	1	#16		Norway	0.903	2,709,913	1	#16		France	0.900	2,696,522	2	#16		Belgium	0.906	2,659,913	1
25		#17	France	8.0407	2,646,263		#17		Norway	0.883	2,633,864	2	#17		Finland	0.908	2,700,105	2	#17		Belgium	0.923	2,724,592	1	#17		Belgium	0.839	2,437,910	1	#17		Norway	0.838	2,419,799	2	#17		Indonesia	0.931	2,805,468	2	#17		France	0.902	2,706,771	1	#17		Colombia	0.897	2,688,244	2	#17		Japan	0.905	2,655,535	1
26		#18	Norway	8.0057	2,634,597		#18		Netherlands	0.875	2,609,649	2	#18		Norway	0.906	2,694,094	1	#18		Australia	0.921	2,720,575	1	#18		Sweden	0.825	2,395,343	1	#18		Germany	0.837	2,417,739	2	#18		Japan	0.929	2,798,133	1	#18		Colombia	0.890	2,668,939	1	#18		Vietnam	0.889	2,664,836	1	#18		Spain	0.882	2,589,207	1
27		#19	Argentina	7.6791	2,527,091		#19		Finland	0.868	2,590,470	1	#19		Argentina	0.903	2,685,448	2	#19		Spain	0.907	2,679,043	1	#19		Argentina	0.824	2,392,257	2	#19		United Kingdom	0.808	2,333,305	2	#19		Belgium	0.926	2,789,497	2	#19		Vietnam	0.881	2,643,756	1	#19		Norway	0.883	2,646,486	1	#19		Colombia	0.876	2,571,171	1
28		#20	Sweden	7.6159	2,506,407		#20		Brazil	0.867	2,586,669	2	#20		Vietnam	0.894	2,657,851	2	#20		China	0.899	2,654,411	2	#20		France	0.813	2,362,506	1	#20		Argentina	0.797	2,302,804	2	#20		Vietnam	0.926	2,788,523	2	#20		Argentina	0.859	2,577,857	2	#20		Finland	0.879	2,634,402	1	#20		France	0.872	2,559,998	2
29		#21	Colombia	7.6131	2,507,986		#21		Sweden	0.867	2,586,587	2	#21		Colombia	0.877	2,606,340	2	#21		Colombia	0.898	2,650,934	1	#21		Peru	0.804	2,336,323	2	#21		Malaysia	0.782	2,259,301	2	#21		Brazil	0.901	2,714,983	2	#21		Finland	0.849	2,546,922	1	#21		United Kingdom	0.872	2,613,417	2	#21		Netherlands	0.863	2,534,360	2
30		#22	Vietnam	7.5498	2,486,495		#22		Peru	0.863	2,574,263	2	#22		Hong Kong	0.859	2,554,336	2	#22		Sweden	0.898	2,650,756	1	#22		Malaysia	0.780	2,264,494	2	#22		Thailand	0.767	2,215,971	1	#22		Sweden	0.894	2,694,036	2	#22		Netherlands	0.843	2,527,825	2	#22		Hong Kong	0.864	2,587,500	2	#22		Norway	0.856	2,513,864	1
31		#23	United Kingdom	7.4840	2,462,681		#23		Hong Kong	0.858	2,558,816	2	#23		Peru	0.857	2,549,094	1	#23		Netherlands	0.893	2,635,326	2	#23		Brazil	0.778	2,258,697	1	#23		Sweden	0.740	2,138,545	1	#23		Hong Kong	0.873	2,630,723	2	#23		United Kingdom	0.832	2,496,800	1	#23		Netherlands	0.849	2,544,772	1	#23		Hong Kong	0.854	2,507,986	2
32		#24	Netherlands	7.4704	2,459,272		#24		Colombia	0.857	2,557,525	2	#24		Brazil	0.840	2,498,545	1	#24		United Kingdom	0.885	2,613,221	2	#24		United Kingdom	0.762	2,212,596	2	#24		Brazil	0.732	2,114,953	2	#24		Denmark	0.869	2,616,821	2	#24		Sweden	0.829	2,487,015	2	#24		Argentina	0.839	2,514,577	1	#24		Denmark	0.854	2,506,870	1
33		#25	Hong Kong	7.4563	2,454,403		#25		France	0.855	2,551,939	1	#25		United Kingdom	0.837	2,489,492	1	#25		Denmark	0.884	2,609,446	1	#25		Netherlands	0.759	2,204,364	2	#25		Vietnam	0.722	2,084,664	1	#25		Netherlands	0.855	2,576,217	1	#25		Brazil	0.822	2,466,381	1	#25		China	0.836	2,505,426	2	#25		United Kingdom	0.848	2,488,946	2
34		#26	Brazil	7.4347	2,447,229		#26		Vietnam	0.851	2,538,024	1	#26		Denmark	0.835	2,483,622	1	#26		Brazil	0.883	2,607,548	2	#26		Colombia	0.754	2,189,116	1	#26		Hong Kong	0.719	2,076,344	2	#26		China	0.851	2,564,423	2	#26		Denmark	0.810	2,430,011	2	#26		Sweden	0.835	2,501,705	2	#26		Argentina	0.845	2,479,777	1
35		#27	Spain	7.1770	2,362,428		#27		China	0.848	2,531,343	2	#27		Netherlands	0.828	2,461,173	2	#27		Japan	0.881	2,600,800	2	#27		Hong Kong	0.739	2,147,970	1	#27		Netherlands	0.706	2,039,760	1	#27		Argentina	0.848	2,555,868	1	#27		China	0.788	2,362,634	1	#27		Spain	0.829	2,482,526	2	#27		Brazil	0.828	2,430,517	1
36		#28	Denmark	7.1731	2,362,231		#28		Denmark	0.825	2,461,872	1	#28		Sweden	0.818	2,432,252	2	#28		Peru	0.879	2,595,452	2	#28		Vietnam	0.719	2,087,260	2	#28		New Zealand	0.705	2,035,900	1	#28		Spain	0.833	2,509,413	2	#28		Hong Kong	0.751	2,251,569	2	#28		Thailand	0.817	2,449,125	1	#28		Thailand	0.819	2,404,239	2
37		#29	China	7.1514	2,354,961		#29		United Kingdom	0.823	2,454,897	2	#29		Spain	0.810	2,408,204	2	#29		Vietnam	0.872	2,574,182	2	#29		Denmark	0.709	2,058,413	2	#29		Spain	0.669	1,931,423	1	#29		United Kingdom	0.817	2,461,459	1	#29		Peru	0.750	2,249,716	1	#29		Denmark	0.789	2,363,038	2	#29		China	0.806	2,365,498	2
38		#30	Peru	7.1114	2,340,726		#30		Spain	0.802	2,393,726	2	#30		China	0.788	2,343,404	1	#30		Latvia	0.869	2,564,866	2	#30		Spain	0.709	2,058,261	1	#30		China	0.645	1,862,312	2	#30		Thailand	0.793	2,390,167	2	#30		Thailand	0.747	2,240,410	1	#30		Peru	0.788	2,360,984	1	#30		Vietnam	0.797	2,339,361	1
39		#31	Thailand	6.9226	2,277,755		#31		New Zealand	0.755	2,251,813	2	#31		New Zealand	0.774	2,301,979	1	#31		Argentina	0.851	2,512,029	1	#31		Latvia	0.692	2,008,875	2	#31		Peru	0.628	1,815,110	2	#31		Peru	0.778	2,342,598	1	#31		Spain	0.737	2,210,046	2	#31		Brazil	0.783	2,346,772	2	#31		Peru	0.764	2,242,997	1
40		#32	New Zealand	6.4413	2,119,004		#32		Thailand	0.702	2,095,479	1	#32		Thailand	0.750	2,229,293	2	#32		Thailand	0.841	2,483,333	2	#32		China	0.690	2,005,197	1	#32		Colombia	0.609	1,758,652	1	#32		Turkey	0.767	2,310,520	2	#32		Turkey	0.658	1,975,095	2	#32		Turkey	0.704	2,108,068	1	#32		Singapore	0.741	2,176,051	2
41	ELIMINATED	#33	Malaysia	6.4065	2,105,677		#33		Turkey	0.682	2,035,891	1	#33		Turkey	0.699	2,078,007	2	#33		Malaysia	0.824	2,432,560	1	#33		New Zealand	0.688	1,998,793	2	#33		Denmark	0.599	1,729,985	2	#33		New Zealand	0.702	2,115,433	2	#33		New Zealand	0.656	1,967,148	1	#33		Malaysia	0.693	2,075,014	1	#33		Malaysia	0.713	2,091,778	1
42		#34	Turkey	5.9936	1,974,571		#34		Malaysia	0.681	2,033,040	2	#34		Singapore	0.686	2,038,393	1	#34		Turkey	0.804	2,372,372	2	#34		Thailand	0.686	1,991,779	2	#34		Latvia	0.572	1,651,275	1	#34		Malaysia	0.681	2,050,814	1	#34		Malaysia	0.625	1,874,197	1	#34		Singapore	0.692	2,073,984	2	#34		Latvia	0.703	2,063,090	2
43		#35	Latvia	5.9434	1,954,654		#35		Latvia	0.643	1,918,938	2	#35		Latvia	0.654	1,944,918	2	#35		New Zealand	0.777	2,292,660	2	#35		Singapore	0.641	1,863,084	2	#35		Turkey	0.499	1,442,089	1	#35		Singapore	0.676	2,035,631	2	#35		Singapore	0.591	1,773,433	1	#35		New Zealand	0.683	2,046,596	1	#35		New Zealand	0.702	2,060,718	1
44		#36	Singapore	5.8238	1,917,287		#36		Singapore	0.616	1,838,734	1	#36		Malaysia	0.629	1,869,892	2	#36		Singapore	0.736	2,173,406	1	#36		Turkey	0.553	1,606,486	1	#36		Bulgaria	0.491	1,419,005	2	#36		Latvia	0.646	1,945,462	1	#36		Latvia	0.555	1,665,865	2	#36		Latvia	0.610	1,828,595	1	#36		Turkey	0.628	1,842,609	1
45		#37	Bulgaria	4.6483	1,528,447		#37		Bulgaria	0.479	1,429,558	1	#37		Bulgaria	0.497	1,476,853	1	#37		Bulgaria	0.642	1,896,015	1	#37		Bulgaria	0.533	1,549,662	2	#37		Singapore	0.444	1,282,870	2	#37		Switzerland	0.497	1,496,024	1	#37		Bulgaria	0.480	1,440,014	2	#37		Bulgaria	0.470	1,408,329	2	#37		Bulgaria	0.561	1,648,077	1
46		#38	Switzerland	4.2334	1,393,838		#38		Switzerland	0.461	1,375,053	1	#38		Switzerland	0.496	1,473,924	1	#38		Switzerland	0.637	1,881,396	1	#38		Switzerland	0.431	1,253,091	1	#38		Switzerland	0.289	834,740	1	#38		Bulgaria	0.494	1,488,511	1	#38		Switzerland	0.400	1,199,483	1	#38		Switzerland	0.469	1,404,535	1	#38		Switzerland	0.554	1,626,299	1
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