FINA Swimming World Championship, 2007

11th FINA Swimming World Championship, 2005, Montreal, Canada

Synchronized Swimming

Solo

Preliminary

			Technical Routine										Free Routine Preliminary
Rk	Name	NOC		1	2	3	4	5	Score	Points	Rk	50%		1	2	3	4	5	Score	Points	Rk	50%	Total
1	Virginie Dedieu	FRA	EX	9.8	9.3	9.8	9.9	9.7	48.833	98.333	1	49.167	TM	9.9	9.9	10	9.8	10.0	49.667	99.667	1	49.834	99.000
1	Virginie Dedieu	FRA	OI	10.0	9.9	9.8	9.9	9.9	49.500	98.333	1	49.167	AI	9.9	10.0	10.0	10.0	10.0	50.000	99.667	1	49.834	99.000
2	Natalia Ischenko	RUS	EX	9.7	9.7	9.9	9.8	9.8	48.833	98.000	2	49.000	TM	9.8	9.8	9.9	9.9	9.9	49.333	98.833	2	49.417	98.417
2	Natalia Ischenko	RUS	OI	9.9	9.8	9.9	9.7	9.8	49.167	98.000	2	49.000	AI	9.9	9.9	9.8	9.9	9.9	49.500	98.833	2	49.417	98.417
3	Gemma Mengual	ESP	EX	9.6	9.4	9.6	9.7	9.6	48.000	96.500	3	48.250	TM	9.7	9.7	9.8	9.7	9.8	48.667	97.667	3	48.834	97.084
3	Gemma Mengual	ESP	OI	9.7	9.7	9.7	9.8	9.7	48.500	96.500	3	48.250	AI	9.8	9.8	9.8	9.8	9.8	49.000	97.667	3	48.834	97.084
4	Emiko Suzuki	JPN	EX	9.5	8.8	9.7	9.4	9.7	47.667	96.000	4	48.000	TM	9.6	9.6	9.7	9.6	9.6	48.000	96.500	4	48.250	96.250
4	Emiko Suzuki	JPN	OI	9.7	9.7	9.6	9.6	9.7	48.333	96.000	4	48.000	AI	9.7	9.7	9.7	9.7	9.5	48.500	96.500	4	48.250	96.250
5	Christina Jones	USA	EX	9.6	9.3	9.6	9.5	9.5	47.667	94.834	5	47.417	TM	9.4	9.5	9.5	9.5	9.6	47.500	95.667	5	47.834	95.251
5	Christina Jones	USA	OI	9.6	9.4	9.5	9.4	9.4	47.167	94.834	5	47.417	AI	9.6	9.6	9.6	9.7	9.7	48.167	95.667	5	47.834	95.251
6	Marie-Pier Boudreau Gagnon	CAN	EX	9.5	9.5	9.5	9.2	9.4	47.333	94.833	6	47.417	TM	9.5	9.5	9.6	9.5	9.5	47.500	95.167	6	47.584	95.000
6	Marie-Pier Boudreau Gagnon	CAN	OI	9.5	9.6	9.5	9.5	9.5	47.500	94.833	6	47.417	AI	9.5	9.6	9.5	9.5	9.6	47.667	95.167	6	47.584	95.000
7	Lorena Zaffalon	ITA	EX	9.2	9.1	9.3	8.9	8.9	45.333	92.000	7	46.000	TM	9.3	9.3	9.4	9.4	9.3	46.667	93.667	7	46.834	92.834
7	Lorena Zaffalon	ITA	OI	9.5	9.3	9.4	9.3	9.3	46.667	92.000	7	46.000	AI	9.4	9.4	9.4	9.4	9.3	47.000	93.667	7	46.834	92.834
8	Daria Yushko	UKR	EX	9.0	8.7	9.1	9.0	9.2	45.167	91.000	8	45.500	TM	9.1	9.2	9.2	9.3	9.4	46.167	92.667	8	46.334	91.834
8	Daria Yushko	UKR	OI	9.1	9.2	9.3	9.0	9.2	45.833	91.000	8	45.500	AI	9.3	9.3	9.3	9.3	9.0	46.500	92.667	8	46.334	91.834
9	Bianca van der Velden	NED	EX	9.0	9.0	9.1	9.3	8.9	45.167	90.667	9	45.334	TM	9.2	9.0	9.2	9.2	9.2	46.000	91.833	9	45.917	91.250
9	Bianca van der Velden	NED	OI	9.2	9.0	9.2	8.7	9.1	45.500	90.667	9	45.334	AI	9.2	9.2	9.1	9.1	9.2	45.833	91.833	9	45.917	91.250
10	Natalia Anthopoulou	GRE	EX	8.9	9.2	8.9	8.8	9.2	45.000	90.000	11	45.000	TM	9.0	9.1	8.8	9.1	9.1	45.333	91.333	10	45.667	90.667
10	Natalia Anthopoulou	GRE	OI	9.0	9.2	9.0	8.8	9.0	45.000	90.000	11	45.000	AI	9.2	9.2	8.9	9.2	9.3	46.000	91.333	10	45.667	90.667
11	Magdalena Brunner	SUI	EX	8.9	8.9	9.0	9.1	9.1	45.000	90.667	9	45.334	TM	9.0	8.9	9.0	9.0	9.0	45.000	90.000	11	45.000	90.334
11	Magdalena Brunner	SUI	OI	9.3	9.0	8.6	9.2	9.2	45.667	90.667	9	45.334	AI	9.0	9.0	9.0	9.0	8.9	45.000	90.000	11	45.000	90.334
12	Anastasia Gloushkov	ISR	EX	9.3	9.1	9.0	9.1	8.8	45.333	89.666	12	44.833	TM	9.1	8.9	9.1	8.8	9.1	45.167	90.000	11	45.000	89.833
12	Anastasia Gloushkov	ISR	OI	9.0	8.8	8.8	8.8	9.0	44.333	89.666	12	44.833	AI	9.0	9.0	8.9	8.9	9.0	44.833	90.000	11	45.000	89.833
13	Sona Bernadova	CZE	EX	9.0	8.4	8.8	9.0	9.0	44.667	89.000	13	44.500	TM	8.8	8.7	9.1	8.9	8.9	44.333	89.500	13	44.75	89.250
13	Sona Bernadova	CZE	OI	8.9	8.9	8.8	8.9	8.8	44.333	89.000	13	44.500	AI	8.9	9.1	8.8	9.1	9.2	45.167	89.500	13	44.75	89.250
14	Na Mi Yoo	KOR	EX	8.8	8.5	9.2	8.7	8.8	43.833	88.666	14	44.333	TM	8.9	8.8	9.1	9.0	8.8	44.500	89.500	13	44.75	89.083
14	Na Mi Yoo	KOR	OI	9.2	8.7	8.9	9.1	8.9	44.833	88.666	14	44.333	AI	9.1	9.1	8.8	8.7	9.1	45.000	89.500	13	44.75	89.083
15	Nayara Figueira	BRA	EX	8.7	8.6	8.8	8.2	8.7	43.333	86.833	15	43.417	TM	8.5	8.8	8.5	8.5	8.7	43.333	86.666	15	43.333	86.750
15	Nayara Figueira	BRA	OI	8.5	8.9	8.5	9.1	8.7	43.500	86.833	15	43.417	AI	8.6	8.8	8.7	8.5	8.7	43.333	86.666	15	43.333	86.750
16	Maria Dzurekova	SVK	EX	7.6	7.9	8.3	8.1	7.8	39.667	82.834	16	41.417	TM	8.6	8.5	8.7	8.7	8.4	43.000	86.000	16	43.000	84.417
16	Maria Dzurekova	SVK	OI	8.7	8.5	8.7	8.1	8.7	43.167	82.834	16	41.417	AI	8.7	8.7	8.5	8.5	8.6	43.000	86.000	16	43.000	84.417
17	Pom Tokgo	PRK	EX	8.2	7.8	8.0	7.8	8.3	40.000	82.000	18	41.000	TM	8.6	8.4	8.4	8.4	8.5	42.167	85.000	17	42.500	83.500
17	Pom Tokgo	PRK	OI	8.2	8.3	8.4	8.9	8.5	42.000	82.000	18	41.000	AI	8.8	8.6	8.4	8.6	8.5	42.833	85.000	17	42.500	83.500
18	Elisabeth Mahn	AUT	EX	8.1	8.2	7.6	8.0	8.3	40.500	81.500	19	40.750	TM	8.5	8.5	8.5	8.3	8.3	42.167	83.667	18	41.834	82.584
18	Elisabeth Mahn	AUT	OI	7.6	8.0	8.3	8.3	8.4	41.000	81.500	19	40.750	AI	8.5	8.4	8.2	8.3	8.2	41.500	83.667	18	41.834	82.584
19	Hanzada Omar	EGY	EX	8.3	8.1	7.8	8.4	8.4	41.333	82.666	17	41.333	TM	8.3	8.3	7.9	8.1	8.0	40.667	81.667	19	40.834	82.167
19	Hanzada Omar	EGY	OI	8.4	8.5	8.2	7.5	8.2	41.333	82.666	17	41.333	AI	8.4	8.2	8.1	8.2	8.2	41.000	81.667	19	40.834	82.167
20	Margareta Jakovac	CRO	EX	8.2	8.0	7.9	7.9	8.0	39.833	79.500	20	39.750	TM	7.9	8.4	7.8	8.0	7.9	39.667	79.667	23	39.834	79.584
20	Margareta Jakovac	CRO	OI	8.1	8.2	7.9	7.2	7.8	39.667	79.500	20	39.750	AI	8.5	7.9	8.0	8.0	8.0	40.000	79.667	23	39.834	79.584
21	Lisa Lacker	GER	EX	8.2	7.3	8.0	6.8	7.9	38.667	78.500	22	39.250	TM	8.1	8.0	7.7	8.2	8.0	40.167	80.500	20	40.250	79.500
21	Lisa Lacker	GER	OI	7.6	7.8	8.1	8.0	8.1	39.833	78.500	22	39.250	AI	8.1	8.0	7.5	8.1	8.1	40.333	80.500	20	40.250	79.500
22	Luna Del Mar Aguilu	PUR	EX	7.9	7.0	8.1	7.7	8.2	39.500	79.167	21	39.584	TM	7.7	8.0	7.8	8.2	7.5	39.167	78.834	24	39.417	79.001
22	Luna Del Mar Aguilu	PUR	OI	7.8	8.4	8.0	7.6	8.0	39.667	79.167	21	39.584	AI	8.0	8.1	7.7	7.5	8.3	39.667	78.834	24	39.417	79.001
23	Greisy Gomez	VEN	EX	7.9	7.2	7.5	8.5	7.6	38.333	76.666	25	38.333	TM	7.8	7.9	8.3	7.9	8.2	40.000	80.500	20	40.25	78.583
23	Greisy Gomez	VEN	OI	7.5	8.2	7.9	7.4	7.9	38.333	76.666	25	38.333	AI	7.9	8.2	8.1	8.1	8.1	40.500	80.500	20	40.25	78.583
24	Tarren Otte Paige	AUS	EX	7.7	7.4	7.4	7.0	7.9	37.500	77.000	24	38.500	TM	7.7	8.0	7.8	7.8	7.8	39.000	78.167	25	39.084	77.584
24	Tarren Otte Paige	AUS	OI	8.0	7.5	7.8	7.9	8.0	39.500	77.000	24	38.500	AI	7.8	7.8	7.8	7.9	7.9	39.167	78.167	25	39.084	77.584
25	Anastasiya Nadzezhdzina	BLR	EX	8.0	6.5	7.1	7.4	7.0	35.833	73.833	26	36.917	TM	7.9	8.4	8.3	8.1	7.9	40.500	80.333	22	40.167	77.083
25	Anastasiya Nadzezhdzina	BLR	OI	7.6	7.4	7.8	7.3	7.9	38.000	73.833	26	36.917	AI	8.3	7.9	7.0	8.4	7.7	39.833	80.333	22	40.167	77.083
26	Claudia Cueli Venta Ines	DOM	EX	7.8	7.1	8.2	7.2	7.6	37.667	77.167	23	38.584	TM	7.8	7.8	7.6	7.7	6.9	38.500	76.833	26	38.417	77.000
26	Claudia Cueli Venta Ines	DOM	OI	7.9	8.1	7.7	8.2	7.7	39.500	77.167	23	38.584	AI	8.2	7.5	7.4	7.7	7.8	38.333	76.833	26	38.417	77.000
27	Violeta Mittinian	CRC	EX	7.8	6.9	7.2	7.3	7.2	36.167	72.334	27	36.167	TM	7.6	7.3	7.4	7.1	7.7	37.167	73.500	28	36.75	72.917
27	Violeta Mittinian	CRC	OI	8.0	6.9	7.3	6.3	7.5	36.167	72.334	27	36.167	AI	7.4	7.3	7.1	7.5	7.1	36.333	73.500	28	36.75	72.917
28	Devah Leenheer	ARU	EX	7.7	6.8	6.8	7.1	7.1	35.000	70.500	28	35.250	TM	7.5	7.4	7.5	7.2	6.7	36.833	73.666	27	36.833	72.083
28	Devah Leenheer	ARU	OI	7.4	7.2	6.7	6.7	7.4	35.500	70.500	28	35.250	AI	7.6	7.2	7.3	7.0	7.6	36.833	73.666	27	36.833	72.083
29	Sin Ieng Au Ieong	MAC	EX	7.5	6.5	7.5	6.4	6.8	34.667	70.500	28	35.250	TM	7.3	7.5	7.5	6.9	7.3	36.833	73.000	29	36.500	71.750
29	Sin Ieng Au Ieong	MAC	OI	7.3	7.2	6.8	7.8	7.0	35.833	70.500	28	35.250	AI	7.3	6.9	7.6	6.9	7.5	36.167	73.000	29	36.500	71.750
30	Renyi Gayle Lee	SIN	EX	7.7	6.7	6.8	6.0	7.4	34.833	70.333	30	35.167	TM	7.9	7.5	7.7	7.1	6.5	36.667	72.334	30	36.167	71.334
30	Renyi Gayle Lee	SIN	OI	7.6	6.8	6.5	8.4	6.8	35.500	70.333	30	35.167	AI	7.2	7.0	7.2	7.4	7.0	35.667	72.334	30	36.167	71.334
31	Etiopia Changjongpradit	THA	EX	7.2	6.6	6.7	6.3	6.7	33.333	68.500	31	34.250	TM	7.0	6.9	7.2	7.0	6.8	34.833	69.833	31	34.917	69.167
31	Etiopia Changjongpradit	THA	OI	7.2	6.9	7.1	6.1	7.1	35.167	68.500	31	34.250	AI	7.0	6.7	7.0	7.0	7.2	35.000	69.833	31	34.917	69.167

Final

				Free Routine Final
Rk	Name	NOC		1	2	3	4	5	Score	Points	Rk	TR	Rk	Total
1	Virginie Dedieu	FRA	TM	10.0	9.9	9.9	9.9	10.0	49.667	99.667	1	49.167	1	99.000
			AI	10.0	10.0	10.0	10.0	10.0	50.000
2	Natalia Ischenko	RUS	TM	9.9	9.7	9.7	9.8	9.9	49.000	98.500	2	49.000	2	98.250
			AI	9.9	9.9	9.9	9.8	9.9	49.500
3	Gemma Mengual	ESP	TM	9.8	9.8	9.8	9.8	9.8	49.000	98.333	3	48.250	3	97.417
			AI	9.9	9.8	9.9	9.9	9.8	49.333
4	Emiko Suzuki	JPN	TM	9.7	9.6	9.6	9.6	9.7	48.167	96.667	4	48.000	4	96.334
			AI	9.7	9.7	9.7	9.7	9.7	48.500
5	Christina Jones	USA	TM	9.6	9.5	9.6	9.7	9.6	48.000	96.000	5	47.417	5	95.417
			AI	9.6	9.6	9.5	9.6	9.7	48.000
6	Marie-Pier Boudreau Gagnon	CAN	TM	9.5	9.6	9.5	9.5	9.5	47.500	95.167	6	47.417	6	95.000
			AI	9.5	9.5	9.6	9.6	9.5	47.667
7	Lorena Zaffalon	ITA	TM	9.4	9.2	9.3	9.4	9.4	46.833	93.833	7	46.000	7	92.917
			AI	9.3	9.4	9.4	9.4	9.4	47.000
8	Daria Yushko	UKR	TM	9.2	9.3	9.1	9.3	9.3	46.333	92.166	8	45.500	8	91.583
			AI	9.0	9.2	9.1	9.2	9.3	45.833
9	Bianca van der Velden	NED	TM	9.1	9.0	8.9	9.0	9.2	45.167	91.000	9	45.334	9	90.834
			AI	9.1	9.3	9.2	9.1	9.2	45.833
10	Magdalena Brunner	SUI	TM	9.1	9.1	9.0	8.8	9.0	45.167	90.167	10	45.334	9	90.417
			AI	8.9	9.1	8.9	9.0	9.1	45.000
11	Natalia Anthopoulou	GRE	TM	9.0	9.1	8.8	8.9	9.1	45.000	90.500	11	45.000	11	90.250
			AI	8.9	9.2	9.0	9.3	9.1	45.500
12	Anastasia Gloushkov	ISR	TM	8.9	9.2	9.4	9.2	9.0	45.667	90.500	11	44.833	12	90.083
			AI	8.8	9.0	9.2	8.9	9.0	44.833

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