osu!catch world cup 2024 | qualifier results & statistics

	C	D	F	G	H	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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4	CWC 2024 ⬥ Qualifier Results					- only the best run for each team is shown (and counted)
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6	OVERALL					NM1	Camellia - POLYBIUS GB SPEEDRUN (Glitchless 100% WR in 0:03:57)					NM2	Tsukidono - Luegner -Reboot Code-					NM3	Imy - Egoist					HD1	mononofrog_4sk feat. masazi - mayday B					HD2	siqlo - wholeheartedly					HR1	Rohi - Kanata ni Mau wa Sakura no Senritsu					HR2	LeaF - I					DT1	Risa Yuzuki - Yumemiru Milky Way feat. Aitsuki Nakuru					DT2	lapix - Horizon Blue feat. Kanata.N
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8		#	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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10	QUALIFIED	#1	United States	8.966	2,939,752	#1		Canada	1.000	3,043,205	2	#1		United States	1.000	2,980,550	2	#1		United States	1.000	2,853,315	1	#1		United States	1.000	2,847,125	2	#1		United States	1.000	2,974,074	1	#1		Poland	1.000	2,948,216	1	#1		United States	1.000	2,985,440	2	#1		United States	1.000	2,993,600	2	#1		United States	1.000	2,933,296	2
11		#2	Poland	8.775	2,877,531	#2		United States	0.999	3,039,033	2	#2		Poland	0.999	2,977,910	2	#2		Finland	0.997	2,844,920	1	#2		Finland	0.958	2,728,183	2	#2		China	0.986	2,932,077	1	#2		Chile	0.999	2,946,329	2	#2		Poland	0.988	2,948,267	2	#2		Chile	0.994	2,975,215	1	#2		Finland	0.994	2,916,690	1
12		#3	Finland	8.749	2,868,272	#3		France	0.993	3,022,503	2	#3		Canada	0.991	2,954,565	2	#3		Poland	0.989	2,821,741	2	#3		Indonesia	0.946	2,692,618	1	#3		Sweden	0.985	2,930,135	1	#3		Canada	0.998	2,940,938	2	#3		Chile	0.984	2,938,253	2	#3		Canada	0.985	2,949,001	2	#3		Poland	0.967	2,836,056	2
13		#4	Canada	8.717	2,859,477	#4		Poland	0.987	3,003,265	2	#4		Argentina	0.989	2,949,111	2	#4		Canada	0.983	2,805,766	1	#4		Poland	0.944	2,688,035	2	#4		Finland	0.966	2,873,833	1	#4		Argentina	0.986	2,908,010	2	#4		Argentina	0.979	2,922,929	2	#4		Peru	0.981	2,937,103	2	#4		France	0.963	2,825,898	1
14		#5	Chile	8.667	2,842,008	#5		Argentina	0.978	2,976,322	2	#5		France	0.972	2,896,516	1	#5		France	0.982	2,802,713	2	#5		Chile	0.918	2,615,023	2	#5		Philippines	0.965	2,870,774	2	#5		Finland	0.981	2,891,753	1	#5		France	0.967	2,887,615	2	#5		Poland	0.973	2,912,393	1	#5		Chile	0.956	2,805,637	2
15		#6	France	8.635	2,831,886	#6		Russian Federation	0.978	2,975,524	2	#6		Finland	0.963	2,870,739	2	#6		Argentina	0.982	2,802,432	2	#6		Argentina	0.918	2,614,798	1	#6		Indonesia	0.962	2,860,240	1	#6		France	0.977	2,881,240	1	#6		United Kingdom	0.966	2,883,429	2	#6		Finland	0.972	2,909,083	1	#6		Canada	0.953	2,795,796	2
16		#7	Argentina	8.616	2,825,710	#7		Finland	0.978	2,974,881	2	#7		Indonesia	0.958	2,853,917	2	#7		Chile	0.982	2,800,886	2	#7		France	0.906	2,578,892	2	#7		Canada	0.957	2,846,664	2	#7		United States	0.967	2,851,337	1	#7		Peru	0.959	2,863,140	1	#7		Germany	0.966	2,890,994	2	#7		Peru	0.939	2,755,187	1
17		#8	Japan	8.408	2,758,068	#8		Peru	0.977	2,972,128	1	#8		Russian Federation	0.954	2,842,550	1	#8		Sweden	0.956	2,727,878	2	#8		Canada	0.892	2,539,659	2	#8		Belgium	0.939	2,793,672	2	#8		Germany	0.960	2,830,599	2	#8		Canada	0.958	2,859,698	2	#8		China	0.966	2,890,585	2	#8		Japan	0.935	2,743,778	1
18		#9	Russian Federation	8.379	2,748,316	#9		Japan	0.975	2,967,746	1	#9		Belgium	0.953	2,841,627	1	#9		Taiwan	0.949	2,707,256	2	#9		Belgium	0.891	2,536,840	2	#9		Chile	0.930	2,767,135	1	#9		Belgium	0.955	2,816,283	1	#9		Russian Federation	0.946	2,824,359	2	#9		France	0.964	2,885,945	2	#9		Russian Federation	0.912	2,675,769	2
19		#10	Peru	8.367	2,745,095	#10		Germany	0.970	2,951,818	2	#10		Chile	0.948	2,824,382	2	#10		Russian Federation	0.947	2,703,006	1	#10		Japan	0.887	2,525,071	2	#10		Taiwan	0.930	2,765,539	1	#10		Russian Federation	0.949	2,796,643	1	#10		Germany	0.946	2,823,591	2	#10		Argentina	0.958	2,866,691	1	#10		Argentina	0.906	2,657,759	1
20		#11	China	8.347	2,737,890	#11		Indonesia	0.959	2,918,366	1	#11		Japan	0.942	2,806,375	2	#11		China	0.944	2,694,316	2	#11		China	0.883	2,515,068	2	#11		Poland	0.929	2,761,899	1	#11		China	0.937	2,763,011	1	#11		Finland	0.939	2,804,363	1	#11		Russian Federation	0.957	2,865,950	2	#11		Sweden	0.898	2,634,724	2
21		#12	Belgium	8.332	2,732,675	#12		Chile	0.955	2,905,214	1	#12		Taiwan	0.934	2,784,471	2	#12		Australia	0.932	2,660,066	2	#12		Russian Federation	0.880	2,505,607	1	#12		Argentina	0.919	2,733,334	1	#12		Japan	0.936	2,759,449	2	#12		Mexico	0.937	2,796,331	2	#12		Japan	0.957	2,864,258	1	#12		Indonesia	0.892	2,615,072	2
22		#13	Indonesia	8.322	2,728,902	#13		China	0.953	2,898,844	1	#13		Peru	0.924	2,753,359	1	#13		Japan	0.931	2,656,668	1	#13		Sweden	0.875	2,491,238	1	#13		Japan	0.916	2,725,418	1	#13		Netherlands	0.932	2,748,831	1	#13		Sweden	0.933	2,785,501	2	#13		Australia	0.946	2,832,425	2	#13		Belgium	0.886	2,599,184	2
23		#14	Sweden	8.282	2,716,302	#14		Belgium	0.944	2,873,002	2	#14		China	0.916	2,730,799	2	#14		Mexico	0.929	2,650,669	1	#14		Peru	0.852	2,426,097	1	#14		France	0.910	2,705,656	2	#14		Norway	0.927	2,732,566	2	#14		Japan	0.929	2,773,853	2	#14		Belgium	0.941	2,817,556	2	#14		Philippines	0.883	2,588,984	1
24		#15	Taiwan	8.200	2,689,500	#15		Mexico	0.944	2,871,600	2	#15		Netherlands	0.909	2,708,090	1	#15		Peru	0.928	2,648,928	2	#15		Taiwan	0.847	2,411,964	1	#15		United Kingdom	0.886	2,636,226	1	#15		Peru	0.923	2,720,705	2	#15		Netherlands	0.918	2,740,553	1	#15		Sweden	0.940	2,814,986	1	#15		Taiwan	0.877	2,573,654	1
25		#16	United Kingdom	8.143	2,671,665	#16		United Kingdom	0.942	2,866,617	1	#16		Mexico	0.895	2,666,825	2	#16		Norway	0.923	2,634,310	1	#16		Germany	0.827	2,355,988	2	#16		Peru	0.884	2,629,209	2	#16		United Kingdom	0.919	2,710,527	2	#16		Indonesia	0.905	2,700,455	2	#16		United Kingdom	0.935	2,799,809	1	#16		Germany	0.864	2,534,766	1
26		#17	Mexico	8.041	2,637,777	#17		Sweden	0.939	2,856,305	2	#17		United Kingdom	0.894	2,665,718	2	#17		Indonesia	0.922	2,631,848	1	#17		United Kingdom	0.824	2,346,342	2	#17		Spain	0.875	2,603,393	1	#17		Taiwan	0.918	2,705,694	2	#17		Belgium	0.903	2,695,442	1	#17		Philippines	0.935	2,798,965	1	#17		China	0.860	2,521,898	2
27		#18	Germany	8.020	2,631,226	#18		Taiwan	0.926	2,816,806	2	#18		Sweden	0.887	2,643,917	2	#18		United Kingdom	0.920	2,624,148	1	#18		Mexico	0.813	2,315,738	1	#18		Mexico	0.874	2,598,165	2	#18		Mexico	0.906	2,671,871	2	#18		China	0.903	2,694,415	2	#18		Taiwan	0.928	2,777,520	1	#18		United Kingdom	0.856	2,512,172	2
28		#19	Australia	7.871	2,582,154	#19		Norway	0.925	2,815,671	1	#19		Australia	0.876	2,611,180	1	#19		Belgium	0.918	2,620,466	1	#19		Australia	0.780	2,219,983	2	#19		Russian Federation	0.856	2,545,435	1	#19		Indonesia	0.876	2,581,821	2	#19		Taiwan	0.892	2,662,594	2	#19		Norway	0.917	2,745,168	2	#19		Australia	0.849	2,489,328	1
29		#20	Norway	7.814	2,563,246	#20		Australia	0.922	2,807,052	1	#20		Thailand	0.855	2,548,432	1	#20		Germany	0.891	2,543,119	1	#20		Vietnam	0.779	2,218,206	2	#20		Australia	0.828	2,463,351	2	#20		Sweden	0.869	2,562,032	1	#20		Australia	0.871	2,599,346	1	#20		Mexico	0.904	2,706,006	2	#20		Norway	0.844	2,474,397	2
30		#21	Philippines	7.790	2,555,711	#21		Vietnam	0.908	2,763,871	2	#21		Norway	0.852	2,539,600	2	#21		Philippines	0.888	2,535,030	1	#21		Norway	0.757	2,155,661	1	#21		Norway	0.811	2,410,651	2	#21		Australia	0.867	2,556,658	1	#21		Vietnam	0.863	2,576,325	2	#21		Indonesia	0.904	2,705,784	1	#21		Mexico	0.840	2,462,792	2
31		#22	Netherlands	7.745	2,541,554	#22		Netherlands	0.901	2,741,365	2	#22		Philippines	0.844	2,514,509	2	#22		Netherlands	0.880	2,511,524	2	#22		Philippines	0.743	2,114,211	2	#22		Iceland	0.790	2,349,549	1	#22		Philippines	0.843	2,484,239	2	#22		Norway	0.858	2,561,187	1	#22		Netherlands	0.898	2,687,977	1	#22		Netherlands	0.832	2,441,812	1
32		#23	Spain	7.408	2,430,075	#23		Philippines	0.871	2,650,477	2	#23		Germany	0.838	2,498,342	2	#23		Spain	0.877	2,501,156	1	#23		Netherlands	0.734	2,088,707	1	#23		New Zealand	0.783	2,328,760	1	#23		Vietnam	0.801	2,362,434	2	#23		Philippines	0.819	2,444,213	1	#23		Vietnam	0.870	2,605,140	2	#23		Spain	0.807	2,366,120	1
33		#24	Vietnam	7.331	2,405,819	#24		Denmark	0.869	2,643,504	1	#24		Turkey	0.837	2,495,920	2	#24		Latvia	0.837	2,387,941	1	#24		Iceland	0.733	2,088,351	2	#24		Denmark	0.761	2,264,003	1	#24		Spain	0.800	2,358,339	1	#24		Spain	0.785	2,344,903	1	#24		Spain	0.850	2,543,270	1	#24		Vietnam	0.790	2,316,431	1
34		#25	Thailand	6.940	2,277,007	#25		Spain	0.861	2,620,032	2	#25		Spain	0.835	2,490,038	2	#25		Denmark	0.827	2,360,640	1	#25		Thailand	0.718	2,045,256	1	#25		Vietnam	0.758	2,255,320	1	#25		Turkey	0.782	2,304,781	2	#25		Turkey	0.783	2,336,441	2	#25		Thailand	0.817	2,446,985	1	#25		Thailand	0.749	2,198,262	1
35		#26	Denmark	6.754	2,215,590	#26		Thailand	0.861	2,618,785	1	#26		Vietnam	0.785	2,339,020	2	#26		Thailand	0.797	2,274,219	1	#26		Spain	0.718	2,043,427	1	#26		Germany	0.757	2,251,815	1	#26		Denmark	0.749	2,208,644	1	#26		Denmark	0.741	2,211,729	1	#26		Turkey	0.779	2,331,666	2	#26		Turkey	0.749	2,197,862	2
36		#27	Turkey	6.588	2,162,663	#27		Latvia	0.817	2,486,527	1	#27		Denmark	0.775	2,308,952	1	#27		Malaysia	0.778	2,220,459	1	#27		New Zealand	0.698	1,988,676	1	#27		Thailand	0.756	2,249,093	1	#27		Latvia	0.729	2,150,042	1	#27		Thailand	0.710	2,120,969	1	#27		Estonia	0.730	2,184,807	2	#27		Singapore	0.697	2,044,007	1
37		#28	New Zealand	6.483	2,126,254	#28		New Zealand	0.804	2,445,820	1	#28		Latvia	0.753	2,245,222	2	#28		Vietnam	0.777	2,215,620	2	#28		Denmark	0.678	1,931,095	2	#28		Netherlands	0.741	2,205,127	2	#28		New Zealand	0.712	2,100,306	2	#28		Iceland	0.686	2,048,484	2	#28		Malaysia	0.725	2,169,742	1	#28		Latvia	0.691	2,026,934	1
38		#29	Latvia	6.465	2,120,394	#29		Turkey	0.803	2,444,728	1	#29		Malaysia	0.749	2,232,163	2	#29		Iceland	0.763	2,176,149	2	#29		Latvia	0.624	1,777,410	1	#29		Malaysia	0.691	2,056,204	2	#29		Iceland	0.696	2,051,263	2	#29		New Zealand	0.669	1,998,462	2	#29		Iceland	0.703	2,104,268	2	#29		Iceland	0.678	1,987,993	1
39		#30	Iceland	6.436	2,109,321	#30		Malaysia	0.799	2,431,433	2	#30		New Zealand	0.741	2,209,675	1	#30		New Zealand	0.759	2,164,474	1	#30		Singapore	0.610	1,735,637	2	#30		Singapore	0.676	2,011,289	2	#30		Thailand	0.675	1,991,061	1	#30		Latvia	0.666	1,986,879	1	#30		Latvia	0.697	2,085,085	1	#30		Denmark	0.674	1,976,990	2
40		#31	Malaysia	6.215	2,039,032	#31		Estonia	0.729	2,218,897	2	#31		Iceland	0.694	2,068,611	2	#31		Turkey	0.752	2,144,700	1	#31		Malaysia	0.605	1,722,483	2	#31		Estonia	0.655	1,947,589	2	#31		Estonia	0.671	1,977,941	2	#31		Singapore	0.652	1,947,913	1	#31		Denmark	0.680	2,034,753	1	#31		Malaysia	0.667	1,956,207	1
41		#32	Estonia	5.972	1,959,411	#32		Austria	0.703	2,138,429	1	#32		Austria	0.651	1,941,355	2	#32		Estonia	0.719	2,050,456	1	#32		Estonia	0.579	1,648,274	2	#32		Latvia	0.651	1,937,509	1	#32		Austria	0.638	1,880,744	2	#32		Austria	0.622	1,857,419	2	#32		Austria	0.658	1,968,647	2	#32		New Zealand	0.659	1,932,420	1
42	ELIMINATED	#33	Singapore	5.852	1,918,407	#33		Iceland	0.693	2,109,221	2	#33		Estonia	0.650	1,936,576	2	#33		Austria	0.718	2,049,797	2	#33		Turkey	0.565	1,607,705	2	#33		Austria	0.571	1,696,854	2	#33		Singapore	0.628	1,851,884	1	#33		Estonia	0.613	1,831,281	2	#33		New Zealand	0.657	1,967,692	2	#33		Estonia	0.627	1,838,877	2
43		#34	Austria	5.699	1,869,718	#34		Singapore	0.649	1,974,905	2	#34		Singapore	0.583	1,737,956	1	#34		Singapore	0.699	1,995,682	2	#34		Austria	0.535	1,522,912	1	#34		Turkey	0.538	1,600,163	2	#34		Malaysia	0.591	1,741,344	1	#34		Malaysia	0.610	1,821,249	1	#34		Singapore	0.657	1,966,386	2	#34		Austria	0.604	1,771,302	1
44		#35	Bulgaria	4.484	1,469,144	#35		Bulgaria	0.558	1,699,420	1	#35		Bulgaria	0.484	1,443,017	1	#35		Bulgaria	0.665	1,898,707	1	#35		Bulgaria	0.462	1,314,593	2	#35		Bulgaria	0.524	1,557,216	2	#35		Bulgaria	0.468	1,379,465	1	#35		Bulgaria	0.427	1,274,427	1	#35		Bulgaria	0.454	1,358,751	1	#35		Bulgaria	0.442	1,296,697	2
45		#36	Hong Kong	DNP
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