Shanghai 2007 — player statistics

Four double-dummy measures per player plus bidding activity, over every board they played, and an opponent-adjusted (strength-of-schedule) Butler. Each table lists all players and is sortable by any column. Double-dummy is idealised — the true best play needs all four hands — so read these as tendencies, not verdicts.

Butler vs double-dummy par↑ top

IMPs per board scored above (+) or below (−) the board’s minimax par — what real bidding and play (theirs and the opponents’) added or gave away against perfect double-dummy play. Players with few boards are greyed. Click a column header to sort; filter by name or team.

#	Player	Team	Boards	/board	Total
1	R.Bates	🇺🇸 USA 2	288	+1.12	+323.0
2	A.Sontag	🇺🇸 USA 2	288	+1.12	+323.0
3	P.Piganeau	🇫🇷 FRANCE	224	+1.11	+249.0
4	J.Py	🇫🇷 FRANCE	224	+1.11	+249.0
5	G.Kasle	🇺🇸 USA 1	224	+1.11	+248.0
6	R.Smith	🇺🇸 USA 1	224	+1.11	+248.0
7	M.Castello Branco	🇧🇷 BRAZIL	256	+1.03	+264.0
8	E.Vianna	🇧🇷 BRAZIL	224	+0.98	+220.0
9	H.Lasut	🇮🇩 INDONESIA	336	+0.86	+289.0
10	E.Manoppo	🇮🇩 INDONESIA	336	+0.86	+289.0
11	W.Haughie	🇦🇺 AUSTRALIA	224	+0.78	+174.0
12	D.Lilley	🇦🇺 AUSTRALIA	224	+0.78	+174.0
13	F.Baroni	🇮🇹 ITALY	272	+0.71	+192.0
14	M.Ricciarelli	🇮🇹 ITALY	272	+0.71	+192.0
15	J.Carruthers	🇨🇦 CANADA	208	+0.67	+139.0
16	J.Silver	🇨🇦 CANADA	208	+0.67	+139.0
17	D.Morse	🇺🇸 USA 1	224	+0.66	+148.0
18	B.Wolff	🇺🇸 USA 1	224	+0.66	+148.0
19	D.De Falco	🇮🇹 ITALY	176	+0.64	+113.0
20	G.Resta	🇮🇹 ITALY	176	+0.64	+113.0
21	K.Lasocki	🇵🇱 POLAND	272	+0.62	+169.0
22	J.Russyan	🇵🇱 POLAND	272	+0.62	+169.0
23	B.Baran	🇨🇦 CANADA	240	+0.56	+135.0
24	A.Hobart	🇨🇦 CANADA	240	+0.56	+135.0
25	H.Humburg	🇩🇪 GERMANY	208	+0.38	+80.0
26	G.Mattsson	🇩🇪 GERMANY	208	+0.38	+80.0
27	K.Omernik	🇵🇱 POLAND	176	+0.35	+62.0
28	J.Pochron	🇵🇱 POLAND	176	+0.35	+62.0
29	S.Fager	🇸🇪 SWEDEN	224	+0.34	+77.0
30	H.Hallen	🇸🇪 SWEDEN	224	+0.34	+77.0
31	A.Jezioro	🇵🇱 POLAND	224	+0.34	+76.0
32	J.Klukowski	🇵🇱 POLAND	224	+0.34	+76.0
33	L.Samie	🇪🇬 EGYPT	160	+0.33	+53.0
34	P.Jariyanantanetr	🇹🇭 THAILAND	304	+0.30	+91.0
35	C.De Miguel	🇦🇷 ARGENTINA	224	+0.29	+66.0
36	A.Madala	🇦🇷 ARGENTINA	224	+0.29	+66.0
37	J.Stoppa	🇫🇷 FRANCE	224	+0.29	+64.0
38	F.Stretz	🇫🇷 FRANCE	224	+0.29	+64.0
39	M.Wang	🇨🇳 CHINA	256	+0.29	+73.0
40	L.Yulin	🇨🇳 CHINA	256	+0.29	+73.0
41	F.Hoffer	🇨🇦 CANADA	224	+0.25	+57.0
42	D.Piafsky	🇨🇦 CANADA	224	+0.25	+57.0
43	J.Auken	🇩🇰 DENMARK	240	+0.25	+60.0
44	K.Moller	🇩🇰 DENMARK	240	+0.25	+60.0
45	U.Kratz	🇩🇪 GERMANY	208	+0.24	+50.0
46	B.Strater	🇩🇪 GERMANY	208	+0.24	+50.0
47	J.Lester	🇦🇺 AUSTRALIA	240	+0.17	+40.0
48	G.Lorentz	🇦🇺 AUSTRALIA	240	+0.17	+40.0
49	P.Lund	🇩🇰 DENMARK	224	+0.16	+36.0
50	S.Moller	🇩🇰 DENMARK	224	+0.16	+36.0
51	M.Kamel	🇪🇬 EGYPT	208	+0.13	+27.0
52	M.Amaral	🇧🇷 BRAZIL	224	+0.12	+26.0
53	A.Ruia	🇮🇳 INDIA	304	+0.10	+30.0
54	A.Sequira	🇮🇳 INDIA	304	+0.10	+30.0
55	M.Khalil	🇪🇬 EGYPT	272	+0.09	+25.0
56	M.Khedr	🇪🇬 EGYPT	272	+0.09	+25.0
57	J.Boulogne	🇬🇵 GUADELOUPE	224	+0.09	+20.0
58	D.Gerin	🇬🇵 GUADELOUPE	224	+0.09	+20.0
59	S.Gupta	🇮🇳 INDIA	304	+0.05	+15.0
60	M.Hirata	🇯🇵 JAPAN	320	+0.02	+7.0
61	J.Pan	🇨🇳 CHINA	144	+0.02	+3.0
62	G.Xuehai	🇨🇳 CHINA	144	+0.02	+3.0
63	Y.Nakamura	🇯🇵 JAPAN	336	+0.02	+7.0
64	SRIDHAR R	🇮🇳 INDIA	240	-0.02	-5.0
65	M.Chan	🇭🇰 CHINA HONG KONG	224	-0.08	-17.0
66	J.Gueglio	🇦🇷 ARGENTINA	224	-0.08	-18.0
67	J.Zanalda	🇦🇷 ARGENTINA	224	-0.08	-18.0
68	P.Castello Branco	🇧🇷 BRAZIL	192	-0.09	-18.0
69	S.Ekberg	🇸🇪 SWEDEN	208	-0.11	-23.0
70	B.Jansson	🇸🇪 SWEDEN	208	-0.11	-23.0
71	W.Wong	🇭🇰 CHINA HONG KONG	192	-0.11	-22.0
72	A.El Askalani	🇪🇬 EGYPT	224	-0.15	-33.0
73	F.Waluyan	🇮🇩 INDONESIA	208	-0.15	-31.0
74	B.Bramley	🇺🇸 USA 2	272	-0.15	-42.0
75	L.Stansby	🇺🇸 USA 2	272	-0.15	-42.0
76	P.Choy	🇭🇰 CHINA HONG KONG	256	-0.20	-52.0
77	V.Chinmanas	🇹🇭 THAILAND	272	-0.22	-61.0
78	K.Ohno	🇯🇵 JAPAN	336	-0.24	-82.0
79	A.Yamada	🇯🇵 JAPAN	336	-0.24	-82.0
80	P.Grenthe	🇫🇷 FRANCE	224	-0.25	-55.0
81	P.Vanhoutte	🇫🇷 FRANCE	224	-0.25	-55.0
82	J.Li	🇨🇳 CHINA	272	-0.25	-68.0
83	H.Tang	🇨🇳 CHINA	272	-0.25	-68.0
84	Y.Chan	🇭🇰 CHINA HONG KONG	240	-0.33	-80.0
85	L.Burgay	🇮🇹 ITALY	224	-0.34	-77.0
86	C.Mariani	🇮🇹 ITALY	224	-0.34	-77.0
87	J.Favard	🇬🇵 GUADELOUPE	224	-0.35	-79.0
88	F.Mondor	🇬🇵 GUADELOUPE	224	-0.35	-79.0
89	S.Flodqvist	🇸🇪 SWEDEN	240	-0.37	-89.0
90	A.Sjoberg	🇸🇪 SWEDEN	240	-0.37	-89.0
91	W.Wattar	🇪🇬 EGYPT	208	-0.38	-79.0
92	P.Maijarern	🇹🇭 THAILAND	256	-0.40	-102.0
93	C.Camacho	🇧🇷 BRAZIL	224	-0.40	-90.0
94	C.Fonseca	🇧🇷 BRAZIL	224	-0.40	-90.0
95	D.Sacul	🇮🇩 INDONESIA	336	-0.41	-138.0
96	M.Cornell	🇳🇿 NEW ZEALAND	256	-0.48	-124.0
97	V.Cornell	🇳🇿 NEW ZEALAND	256	-0.48	-124.0
98	F.Dahl	🇩🇰 DENMARK	208	-0.51	-106.0
99	G.Norris	🇩🇰 DENMARK	208	-0.51	-106.0
100	J.Graham	🇿🇦 SOUTH AFRICA	224	-0.56	-125.0
101	P.Maybury	🇿🇦 SOUTH AFRICA	224	-0.56	-125.0
102	T.Robb	🇳🇿 NEW ZEALAND	192	-0.57	-110.0
103	D.Russell	🇳🇿 NEW ZEALAND	192	-0.57	-110.0
104	R.Maffei	🇦🇷 ARGENTINA	224	-0.62	-140.0
105	E.Scanavino	🇦🇷 ARGENTINA	224	-0.62	-140.0
106	C.Suriya	🇹🇭 THAILAND	304	-0.64	-196.0
107	D.Gerstman	🇺🇸 USA 1	224	-0.66	-148.0
108	J.Sutherlin	🇺🇸 USA 1	224	-0.66	-148.0
109	S.Abrahams	🇳🇿 NEW ZEALAND	224	-0.67	-150.0
110	D.Mcleish	🇳🇿 NEW ZEALAND	224	-0.67	-150.0
111	R.Klinger	🇦🇺 AUSTRALIA	208	-0.75	-157.0
112	Z.Nagy	🇦🇺 AUSTRALIA	208	-0.75	-157.0
113	R.Marsal	🇩🇪 GERMANY	256	-0.84	-215.0
114	E.Wladow	🇩🇪 GERMANY	256	-0.84	-215.0
115	G.Wong	🇭🇰 CHINA HONG KONG	224	-0.85	-190.0
116	J.Cassin	🇬🇵 GUADELOUPE	224	-0.96	-216.0
117	J.Pelletier	🇬🇵 GUADELOUPE	224	-0.96	-216.0
118	W.Neumann	🇭🇰 CHINA HONG KONG	208	-0.97	-201.0
119	B.Bateman	🇿🇦 SOUTH AFRICA	224	-1.14	-256.0
120	S.Bateman	🇿🇦 SOUTH AFRICA	224	-1.14	-256.0
121	K.Gilmour	🇿🇦 SOUTH AFRICA	224	-1.38	-309.0
122	H.Kruger	🇿🇦 SOUTH AFRICA	224	-1.38	-309.0
123	G.Baze	🇺🇸 USA 2	112	+0.73	+82.0
124	R.Meltzer	🇺🇸 USA 2	112	+0.73	+82.0
125	A.Vaidya	🇮🇳 INDIA	64	+0.33	+21.0
126	J.Goenka	🇮🇳 INDIA	128	+0.32	+41.0
127	T.Sakurai	🇯🇵 JAPAN	16	+0.00	+0.0
128	A.Suriya	🇹🇭 THAILAND	112	-0.80	-90.0
129	M.Sawiruddin	🇮🇩 INDONESIA	128	-0.84	-107.0
130	T.Yongchareon	🇹🇭 THAILAND	96	-1.58	-152.0

Opening-lead accuracy↑ top

How often a player’s opening lead held declarer to the same tricks as the best defensive lead double-dummy. Players with few boards are greyed. Click a column header to sort; filter by name or team.

#	Player	Team	Leads	On target	Conceded
1	J.Stoppa	🇫🇷 FRANCE	43	95.3%	0.05
2	H.Lasut	🇮🇩 INDONESIA	70	92.9%	0.07
3	S.Flodqvist	🇸🇪 SWEDEN	41	92.7%	0.07
4	E.Vianna	🇧🇷 BRAZIL	37	91.9%	0.11
5	G.Xuehai	🇨🇳 CHINA	24	91.7%	0.08
6	A.El Askalani	🇪🇬 EGYPT	34	91.2%	0.09
7	P.Castello Branco	🇧🇷 BRAZIL	34	91.2%	0.09
8	C.Suriya	🇹🇭 THAILAND	55	90.9%	0.09
9	M.Cornell	🇳🇿 NEW ZEALAND	43	90.7%	0.12
10	B.Bateman	🇿🇦 SOUTH AFRICA	32	90.6%	0.12
11	B.Baran	🇨🇦 CANADA	42	90.5%	0.12
12	A.Madala	🇦🇷 ARGENTINA	41	90.2%	0.15
13	D.Mcleish	🇳🇿 NEW ZEALAND	30	90.0%	0.13
14	S.Ekberg	🇸🇪 SWEDEN	47	89.4%	0.15
15	B.Jansson	🇸🇪 SWEDEN	28	89.3%	0.14
16	J.Pochron	🇵🇱 POLAND	27	88.9%	0.11
17	G.Norris	🇩🇰 DENMARK	35	88.6%	0.11
18	J.Lester	🇦🇺 AUSTRALIA	34	88.2%	0.12
19	E.Scanavino	🇦🇷 ARGENTINA	34	88.2%	0.12
20	S.Bateman	🇿🇦 SOUTH AFRICA	34	88.2%	0.12
21	F.Baroni	🇮🇹 ITALY	50	88.0%	0.12
22	J.Pan	🇨🇳 CHINA	25	88.0%	0.12
23	W.Wong	🇭🇰 CHINA HONG KONG	25	88.0%	0.12
24	L.Yulin	🇨🇳 CHINA	58	87.9%	0.15
25	L.Stansby	🇺🇸 USA 2	48	87.5%	0.12
26	D.Gerstman	🇺🇸 USA 1	40	87.5%	0.12
27	R.Maffei	🇦🇷 ARGENTINA	32	87.5%	0.12
28	Z.Nagy	🇦🇺 AUSTRALIA	39	87.2%	0.13
29	Y.Chan	🇭🇰 CHINA HONG KONG	47	87.2%	0.13
30	B.Bramley	🇺🇸 USA 2	47	87.2%	0.15
31	G.Lorentz	🇦🇺 AUSTRALIA	46	87.0%	0.15
32	W.Wattar	🇪🇬 EGYPT	30	86.7%	0.13
33	M.Chan	🇭🇰 CHINA HONG KONG	45	86.7%	0.16
34	F.Mondor	🇬🇵 GUADELOUPE	30	86.7%	0.17
35	G.Kasle	🇺🇸 USA 1	37	86.5%	0.14
36	E.Wladow	🇩🇪 GERMANY	52	86.5%	0.14
37	J.Russyan	🇵🇱 POLAND	44	86.4%	0.23
38	G.Mattsson	🇩🇪 GERMANY	29	86.2%	0.14
39	B.Strater	🇩🇪 GERMANY	43	86.0%	0.16
40	G.Resta	🇮🇹 ITALY	35	85.7%	0.14
41	P.Grenthe	🇫🇷 FRANCE	28	85.7%	0.14
42	J.Cassin	🇬🇵 GUADELOUPE	7	85.7%	0.14
43	A.Ruia	🇮🇳 INDIA	56	85.7%	0.16
44	K.Moller	🇩🇰 DENMARK	56	85.7%	0.16
45	K.Lasocki	🇵🇱 POLAND	49	85.7%	0.16
46	J.Carruthers	🇨🇦 CANADA	35	85.7%	0.17
47	F.Stretz	🇫🇷 FRANCE	35	85.7%	0.17
48	S.Abrahams	🇳🇿 NEW ZEALAND	35	85.7%	0.17
49	D.Sacul	🇮🇩 INDONESIA	55	85.5%	0.20
50	W.Haughie	🇦🇺 AUSTRALIA	40	85.0%	0.15
51	J.Graham	🇿🇦 SOUTH AFRICA	40	85.0%	0.17
52	A.Sequira	🇮🇳 INDIA	46	84.8%	0.17
53	F.Waluyan	🇮🇩 INDONESIA	26	84.6%	0.15
54	J.Boulogne	🇬🇵 GUADELOUPE	32	84.4%	0.16
55	D.Gerin	🇬🇵 GUADELOUPE	45	84.4%	0.18
56	K.Ohno	🇯🇵 JAPAN	64	84.4%	0.19
57	E.Manoppo	🇮🇩 INDONESIA	51	84.3%	0.16
58	M.Ricciarelli	🇮🇹 ITALY	51	84.3%	0.16
59	S.Gupta	🇮🇳 INDIA	57	84.2%	0.17
60	M.Khedr	🇪🇬 EGYPT	38	84.2%	0.18
61	R.Marsal	🇩🇪 GERMANY	38	84.2%	0.18
62	A.Hobart	🇨🇦 CANADA	44	84.1%	0.18
63	H.Hallen	🇸🇪 SWEDEN	44	84.1%	0.23
64	Y.Nakamura	🇯🇵 JAPAN	56	83.9%	0.18
65	J.Auken	🇩🇰 DENMARK	37	83.8%	0.27
66	J.Gueglio	🇦🇷 ARGENTINA	43	83.7%	0.21
67	F.Hoffer	🇨🇦 CANADA	24	83.3%	0.17
68	V.Cornell	🇳🇿 NEW ZEALAND	36	83.3%	0.17
69	C.Fonseca	🇧🇷 BRAZIL	36	83.3%	0.19
70	P.Vanhoutte	🇫🇷 FRANCE	36	83.3%	0.22
71	L.Burgay	🇮🇹 ITALY	29	82.8%	0.17
72	R.Bates	🇺🇸 USA 2	46	82.6%	0.20
73	M.Amaral	🇧🇷 BRAZIL	46	82.6%	0.20
74	M.Khalil	🇪🇬 EGYPT	46	82.6%	0.22
75	J.Sutherlin	🇺🇸 USA 1	34	82.4%	0.18
76	C.De Miguel	🇦🇷 ARGENTINA	45	82.2%	0.22
77	A.Sjoberg	🇸🇪 SWEDEN	28	82.1%	0.21
78	J.Li	🇨🇳 CHINA	50	82.0%	0.26
79	K.Omernik	🇵🇱 POLAND	33	81.8%	0.18
80	P.Jariyanantanetr	🇹🇭 THAILAND	44	81.8%	0.20
81	M.Kamel	🇪🇬 EGYPT	44	81.8%	0.20
82	SRIDHAR R	🇮🇳 INDIA	54	81.5%	0.18
83	M.Wang	🇨🇳 CHINA	43	81.4%	0.21
84	J.Favard	🇬🇵 GUADELOUPE	32	81.2%	0.19
85	S.Moller	🇩🇰 DENMARK	53	81.1%	0.21
86	J.Zanalda	🇦🇷 ARGENTINA	37	81.1%	0.22
87	C.Mariani	🇮🇹 ITALY	37	81.1%	0.24
88	A.Jezioro	🇵🇱 POLAND	42	81.0%	0.19
89	P.Choy	🇭🇰 CHINA HONG KONG	52	80.8%	0.21
90	A.Yamada	🇯🇵 JAPAN	67	80.6%	0.21
91	P.Lund	🇩🇰 DENMARK	41	80.5%	0.20
92	V.Chinmanas	🇹🇭 THAILAND	51	80.4%	0.23
93	J.Silver	🇨🇦 CANADA	45	80.0%	0.22
94	C.Camacho	🇧🇷 BRAZIL	35	80.0%	0.23
95	D.Russell	🇳🇿 NEW ZEALAND	35	80.0%	0.23
96	M.Hirata	🇯🇵 JAPAN	63	79.4%	0.21
97	A.Sontag	🇺🇸 USA 2	58	79.3%	0.21
98	H.Kruger	🇿🇦 SOUTH AFRICA	38	78.9%	0.26
99	T.Robb	🇳🇿 NEW ZEALAND	33	78.8%	0.21
100	P.Piganeau	🇫🇷 FRANCE	42	78.6%	0.21
101	G.Wong	🇭🇰 CHINA HONG KONG	37	78.4%	0.32
102	U.Kratz	🇩🇪 GERMANY	36	77.8%	0.22
103	B.Wolff	🇺🇸 USA 1	36	77.8%	0.28
104	R.Klinger	🇦🇺 AUSTRALIA	31	77.4%	0.23
105	L.Samie	🇪🇬 EGYPT	31	77.4%	0.23
106	J.Py	🇫🇷 FRANCE	31	77.4%	0.26
107	P.Maybury	🇿🇦 SOUTH AFRICA	31	77.4%	0.26
108	W.Neumann	🇭🇰 CHINA HONG KONG	44	77.3%	0.25
109	H.Tang	🇨🇳 CHINA	43	76.7%	0.26
110	D.Lilley	🇦🇺 AUSTRALIA	34	76.5%	0.23
111	S.Fager	🇸🇪 SWEDEN	42	76.2%	0.26
112	P.Maijarern	🇹🇭 THAILAND	42	76.2%	0.29
113	F.Dahl	🇩🇰 DENMARK	29	75.9%	0.24
114	R.Smith	🇺🇸 USA 1	49	75.5%	0.29
115	D.Morse	🇺🇸 USA 1	36	75.0%	0.28
116	J.Klukowski	🇵🇱 POLAND	39	74.4%	0.28
117	M.Castello Branco	🇧🇷 BRAZIL	49	73.5%	0.29
118	K.Gilmour	🇿🇦 SOUTH AFRICA	45	73.3%	0.29
119	H.Humburg	🇩🇪 GERMANY	40	72.5%	0.35
120	D.Piafsky	🇨🇦 CANADA	36	72.2%	0.28
121	D.De Falco	🇮🇹 ITALY	32	71.9%	0.38
122	J.Pelletier	🇬🇵 GUADELOUPE	14	71.4%	0.36
123	T.Sakurai	🇯🇵 JAPAN	4	100.0%	0.00
124	A.Suriya	🇹🇭 THAILAND	21	95.2%	0.05
125	T.Yongchareon	🇹🇭 THAILAND	28	89.3%	0.14
126	R.Meltzer	🇺🇸 USA 2	28	85.7%	0.18
127	G.Baze	🇺🇸 USA 2	20	85.0%	0.20
128	A.Vaidya	🇮🇳 INDIA	13	84.6%	0.15
129	M.Sawiruddin	🇮🇩 INDONESIA	17	82.4%	0.23
130	J.Goenka	🇮🇳 INDIA	27	70.4%	0.37

Declarer-play accuracy↑ top

How often declarer took at least the double-dummy makeable tricks after the actual opening lead — i.e. didn’t leave tricks on the table. Players with few boards are greyed. Click a column header to sort; filter by name or team.

#	Player	Team	Contracts	On target	Conceded
1	J.Gueglio	🇦🇷 ARGENTINA	29	93.1%	0.07
2	B.Bramley	🇺🇸 USA 2	51	90.2%	0.10
3	R.Bates	🇺🇸 USA 2	48	89.6%	0.12
4	B.Strater	🇩🇪 GERMANY	44	88.6%	0.16
5	J.Py	🇫🇷 FRANCE	33	87.9%	0.12
6	R.Marsal	🇩🇪 GERMANY	47	87.2%	0.15
7	D.Morse	🇺🇸 USA 1	46	87.0%	0.17
8	F.Hoffer	🇨🇦 CANADA	43	86.0%	0.14
9	J.Sutherlin	🇺🇸 USA 1	49	85.7%	0.20
10	D.De Falco	🇮🇹 ITALY	27	85.2%	0.18
11	C.De Miguel	🇦🇷 ARGENTINA	40	85.0%	0.20
12	E.Scanavino	🇦🇷 ARGENTINA	46	84.8%	0.17
13	Z.Nagy	🇦🇺 AUSTRALIA	32	84.4%	0.19
14	G.Kasle	🇺🇸 USA 1	31	83.9%	0.19
15	F.Baroni	🇮🇹 ITALY	31	83.9%	0.19
16	P.Lund	🇩🇰 DENMARK	37	83.8%	0.16
17	E.Manoppo	🇮🇩 INDONESIA	59	83.1%	0.22
18	S.Moller	🇩🇰 DENMARK	35	82.9%	0.20
19	A.Sontag	🇺🇸 USA 2	64	82.8%	0.19
20	P.Jariyanantanetr	🇹🇭 THAILAND	63	82.5%	0.21
21	A.El Askalani	🇪🇬 EGYPT	34	82.4%	0.21
22	B.Baran	🇨🇦 CANADA	39	82.1%	0.18
23	W.Wong	🇭🇰 CHINA HONG KONG	33	81.8%	0.18
24	J.Klukowski	🇵🇱 POLAND	43	81.4%	0.21
25	P.Choy	🇭🇰 CHINA HONG KONG	37	81.1%	0.19
26	A.Jezioro	🇵🇱 POLAND	37	81.1%	0.22
27	M.Amaral	🇧🇷 BRAZIL	41	80.5%	0.20
28	M.Khalil	🇪🇬 EGYPT	41	80.5%	0.24
29	M.Khedr	🇪🇬 EGYPT	56	80.4%	0.25
30	J.Auken	🇩🇰 DENMARK	50	80.0%	0.22
31	G.Lorentz	🇦🇺 AUSTRALIA	45	80.0%	0.22
32	Y.Nakamura	🇯🇵 JAPAN	49	79.6%	0.22
33	J.Russyan	🇵🇱 POLAND	54	79.6%	0.24
34	M.Castello Branco	🇧🇷 BRAZIL	39	79.5%	0.20
35	W.Haughie	🇦🇺 AUSTRALIA	39	79.5%	0.20
36	C.Suriya	🇹🇭 THAILAND	53	79.2%	0.26
37	J.Graham	🇿🇦 SOUTH AFRICA	43	79.1%	0.23
38	D.Russell	🇳🇿 NEW ZEALAND	33	78.8%	0.21
39	SRIDHAR R	🇮🇳 INDIA	33	78.8%	0.30
40	J.Zanalda	🇦🇷 ARGENTINA	42	78.6%	0.21
41	A.Ruia	🇮🇳 INDIA	56	78.6%	0.23
42	S.Gupta	🇮🇳 INDIA	51	78.4%	0.22
43	D.Gerin	🇬🇵 GUADELOUPE	41	78.0%	0.22
44	W.Wattar	🇪🇬 EGYPT	50	78.0%	0.24
45	R.Smith	🇺🇸 USA 1	41	78.0%	0.27
46	S.Fager	🇸🇪 SWEDEN	36	77.8%	0.22
47	D.Gerstman	🇺🇸 USA 1	27	77.8%	0.26
48	P.Vanhoutte	🇫🇷 FRANCE	36	77.8%	0.28
49	D.Lilley	🇦🇺 AUSTRALIA	31	77.4%	0.26
50	P.Maijarern	🇹🇭 THAILAND	44	77.3%	0.27
51	J.Pelletier	🇬🇵 GUADELOUPE	22	77.3%	0.27
52	C.Mariani	🇮🇹 ITALY	57	77.2%	0.25
53	L.Samie	🇪🇬 EGYPT	26	76.9%	0.23
54	K.Ohno	🇯🇵 JAPAN	52	76.9%	0.35
55	G.Norris	🇩🇰 DENMARK	43	76.7%	0.23
56	L.Burgay	🇮🇹 ITALY	30	76.7%	0.23
57	C.Fonseca	🇧🇷 BRAZIL	34	76.5%	0.27
58	J.Pan	🇨🇳 CHINA	17	76.5%	0.35
59	H.Lasut	🇮🇩 INDONESIA	55	76.4%	0.24
60	H.Tang	🇨🇳 CHINA	58	75.9%	0.28
61	D.Sacul	🇮🇩 INDONESIA	62	75.8%	0.26
62	M.Cornell	🇳🇿 NEW ZEALAND	33	75.8%	0.30
63	S.Ekberg	🇸🇪 SWEDEN	41	75.6%	0.27
64	B.Wolff	🇺🇸 USA 1	45	75.6%	0.29
65	A.Sequira	🇮🇳 INDIA	52	75.0%	0.27
66	P.Grenthe	🇫🇷 FRANCE	44	75.0%	0.32
67	J.Carruthers	🇨🇦 CANADA	43	74.4%	0.33
68	C.Camacho	🇧🇷 BRAZIL	43	74.4%	0.35
69	M.Kamel	🇪🇬 EGYPT	35	74.3%	0.31
70	U.Kratz	🇩🇪 GERMANY	31	74.2%	0.32
71	M.Hirata	🇯🇵 JAPAN	62	74.2%	0.32
72	G.Mattsson	🇩🇪 GERMANY	46	73.9%	0.35
73	J.Pochron	🇵🇱 POLAND	38	73.7%	0.26
74	F.Stretz	🇫🇷 FRANCE	38	73.7%	0.32
75	H.Hallen	🇸🇪 SWEDEN	34	73.5%	0.35
76	K.Omernik	🇵🇱 POLAND	30	73.3%	0.27
77	V.Chinmanas	🇹🇭 THAILAND	45	73.3%	0.36
78	P.Piganeau	🇫🇷 FRANCE	41	73.2%	0.29
79	S.Abrahams	🇳🇿 NEW ZEALAND	41	73.2%	0.29
80	L.Yulin	🇨🇳 CHINA	40	72.5%	0.30
81	M.Wang	🇨🇳 CHINA	51	72.5%	0.35
82	B.Jansson	🇸🇪 SWEDEN	29	72.4%	0.28
83	H.Humburg	🇩🇪 GERMANY	29	72.4%	0.34
84	K.Lasocki	🇵🇱 POLAND	43	72.1%	0.28
85	S.Flodqvist	🇸🇪 SWEDEN	50	72.0%	0.34
86	M.Chan	🇭🇰 CHINA HONG KONG	39	71.8%	0.33
87	A.Yamada	🇯🇵 JAPAN	49	71.4%	0.33
88	D.Piafsky	🇨🇦 CANADA	52	71.2%	0.33
89	E.Wladow	🇩🇪 GERMANY	38	71.1%	0.34
90	P.Castello Branco	🇧🇷 BRAZIL	38	71.1%	0.40
91	R.Maffei	🇦🇷 ARGENTINA	40	70.0%	0.38
92	T.Robb	🇳🇿 NEW ZEALAND	30	70.0%	0.43
93	W.Neumann	🇭🇰 CHINA HONG KONG	43	69.8%	0.51
94	L.Stansby	🇺🇸 USA 2	46	69.6%	0.41
95	J.Li	🇨🇳 CHINA	39	69.2%	0.46
96	F.Waluyan	🇮🇩 INDONESIA	29	69.0%	0.34
97	K.Gilmour	🇿🇦 SOUTH AFRICA	42	69.0%	0.36
98	M.Ricciarelli	🇮🇹 ITALY	58	69.0%	0.40
99	J.Favard	🇬🇵 GUADELOUPE	45	68.9%	0.38
100	J.Stoppa	🇫🇷 FRANCE	48	68.8%	0.35
101	J.Lester	🇦🇺 AUSTRALIA	35	68.6%	0.46
102	G.Xuehai	🇨🇳 CHINA	22	68.2%	0.41
103	A.Hobart	🇨🇦 CANADA	47	68.1%	0.32
104	J.Silver	🇨🇦 CANADA	31	67.7%	0.35
105	R.Klinger	🇦🇺 AUSTRALIA	31	67.7%	0.35
106	G.Resta	🇮🇹 ITALY	30	66.7%	0.37
107	F.Mondor	🇬🇵 GUADELOUPE	42	66.7%	0.38
108	F.Dahl	🇩🇰 DENMARK	39	66.7%	0.39
109	V.Cornell	🇳🇿 NEW ZEALAND	40	65.0%	0.40
110	K.Moller	🇩🇰 DENMARK	36	63.9%	0.39
111	B.Bateman	🇿🇦 SOUTH AFRICA	40	62.5%	0.47
112	A.Sjoberg	🇸🇪 SWEDEN	40	62.5%	0.50
113	J.Boulogne	🇬🇵 GUADELOUPE	34	61.8%	0.44
114	D.Mcleish	🇳🇿 NEW ZEALAND	31	61.3%	0.39
115	A.Madala	🇦🇷 ARGENTINA	38	60.5%	0.45
116	E.Vianna	🇧🇷 BRAZIL	40	60.0%	0.47
117	Y.Chan	🇭🇰 CHINA HONG KONG	37	59.5%	0.54
118	G.Wong	🇭🇰 CHINA HONG KONG	39	53.8%	0.51
119	H.Kruger	🇿🇦 SOUTH AFRICA	39	53.8%	0.56
120	S.Bateman	🇿🇦 SOUTH AFRICA	33	51.5%	0.58
121	P.Maybury	🇿🇦 SOUTH AFRICA	36	50.0%	0.69
122	J.Cassin	🇬🇵 GUADELOUPE	7	42.9%	0.71
123	A.Suriya	🇹🇭 THAILAND	13	84.6%	0.23
124	J.Goenka	🇮🇳 INDIA	21	71.4%	0.29
125	G.Baze	🇺🇸 USA 2	20	70.0%	0.30
126	A.Vaidya	🇮🇳 INDIA	9	66.7%	0.33
127	T.Yongchareon	🇹🇭 THAILAND	17	64.7%	0.59
128	M.Sawiruddin	🇮🇩 INDONESIA	22	63.6%	0.41
129	R.Meltzer	🇺🇸 USA 2	21	57.1%	0.57

Defensive accuracy↑ top

How often the defenders held declarer to the double-dummy makeable (or fewer) — charged to both defenders on the board. Players with few boards are greyed. Click a column header to sort; filter by name or team.

#	Player	Team	Boards	On target	Conceded
1	H.Lasut	🇮🇩 INDONESIA	121	93.4%	0.07
2	E.Manoppo	🇮🇩 INDONESIA	121	93.4%	0.07
3	P.Piganeau	🇫🇷 FRANCE	73	93.2%	0.07
4	J.Py	🇫🇷 FRANCE	73	93.2%	0.07
5	E.Vianna	🇧🇷 BRAZIL	80	92.5%	0.07
6	F.Dahl	🇩🇰 DENMARK	64	92.2%	0.09
7	G.Norris	🇩🇰 DENMARK	64	92.2%	0.09
8	G.Kasle	🇺🇸 USA 1	86	91.9%	0.08
9	R.Smith	🇺🇸 USA 1	86	91.9%	0.08
10	P.Jariyanantanetr	🇹🇭 THAILAND	107	91.6%	0.08
11	M.Castello Branco	🇧🇷 BRAZIL	94	91.5%	0.09
12	L.Burgay	🇮🇹 ITALY	66	90.9%	0.11
13	C.Mariani	🇮🇹 ITALY	66	90.9%	0.11
14	S.Fager	🇸🇪 SWEDEN	86	90.7%	0.10
15	H.Hallen	🇸🇪 SWEDEN	86	90.7%	0.10
16	S.Ekberg	🇸🇪 SWEDEN	75	90.7%	0.11
17	B.Jansson	🇸🇪 SWEDEN	75	90.7%	0.11
18	P.Grenthe	🇫🇷 FRANCE	64	90.6%	0.11
19	P.Vanhoutte	🇫🇷 FRANCE	64	90.6%	0.11
20	B.Bramley	🇺🇸 USA 2	95	90.5%	0.10
21	L.Stansby	🇺🇸 USA 2	95	90.5%	0.10
22	J.Auken	🇩🇰 DENMARK	93	90.3%	0.10
23	K.Moller	🇩🇰 DENMARK	93	90.3%	0.10
24	R.Klinger	🇦🇺 AUSTRALIA	70	90.0%	0.10
25	Z.Nagy	🇦🇺 AUSTRALIA	70	90.0%	0.10
26	SRIDHAR R	🇮🇳 INDIA	99	89.9%	0.12
27	F.Waluyan	🇮🇩 INDONESIA	57	89.5%	0.12
28	R.Bates	🇺🇸 USA 2	104	89.4%	0.11
29	A.Sontag	🇺🇸 USA 2	104	89.4%	0.11
30	K.Ohno	🇯🇵 JAPAN	131	89.3%	0.11
31	A.Yamada	🇯🇵 JAPAN	131	89.3%	0.11
32	K.Lasocki	🇵🇱 POLAND	93	89.2%	0.11
33	J.Russyan	🇵🇱 POLAND	93	89.2%	0.11
34	W.Haughie	🇦🇺 AUSTRALIA	74	89.2%	0.11
35	D.Lilley	🇦🇺 AUSTRALIA	74	89.2%	0.11
36	J.Li	🇨🇳 CHINA	93	89.2%	0.11
37	H.Tang	🇨🇳 CHINA	93	89.2%	0.11
38	A.Jezioro	🇵🇱 POLAND	81	88.9%	0.12
39	J.Klukowski	🇵🇱 POLAND	81	88.9%	0.12
40	D.Morse	🇺🇸 USA 1	72	88.9%	0.19
41	B.Wolff	🇺🇸 USA 1	72	88.9%	0.19
42	S.Flodqvist	🇸🇪 SWEDEN	69	88.4%	0.12
43	A.Sjoberg	🇸🇪 SWEDEN	69	88.4%	0.12
44	B.Baran	🇨🇦 CANADA	86	88.4%	0.15
45	A.Hobart	🇨🇦 CANADA	86	88.4%	0.15
46	J.Boulogne	🇬🇵 GUADELOUPE	77	88.3%	0.13
47	D.Gerin	🇬🇵 GUADELOUPE	77	88.3%	0.13
48	A.Ruia	🇮🇳 INDIA	102	88.2%	0.13
49	A.Sequira	🇮🇳 INDIA	102	88.2%	0.13
50	D.De Falco	🇮🇹 ITALY	67	88.1%	0.12
51	G.Resta	🇮🇹 ITALY	67	88.1%	0.12
52	S.Gupta	🇮🇳 INDIA	123	87.8%	0.15
53	L.Samie	🇪🇬 EGYPT	64	87.5%	0.16
54	C.Camacho	🇧🇷 BRAZIL	71	87.3%	0.17
55	C.Fonseca	🇧🇷 BRAZIL	71	87.3%	0.17
56	P.Lund	🇩🇰 DENMARK	94	87.2%	0.15
57	S.Moller	🇩🇰 DENMARK	94	87.2%	0.15
58	M.Hirata	🇯🇵 JAPAN	117	87.2%	0.15
59	J.Favard	🇬🇵 GUADELOUPE	62	87.1%	0.13
60	F.Mondor	🇬🇵 GUADELOUPE	62	87.1%	0.13
61	V.Chinmanas	🇹🇭 THAILAND	101	87.1%	0.17
62	M.Kamel	🇪🇬 EGYPT	77	87.0%	0.16
63	Y.Nakamura	🇯🇵 JAPAN	123	87.0%	0.16
64	M.Khalil	🇪🇬 EGYPT	84	86.9%	0.13
65	M.Khedr	🇪🇬 EGYPT	84	86.9%	0.13
66	F.Hoffer	🇨🇦 CANADA	60	86.7%	0.13
67	D.Piafsky	🇨🇦 CANADA	60	86.7%	0.13
68	K.Omernik	🇵🇱 POLAND	60	86.7%	0.15
69	J.Pochron	🇵🇱 POLAND	60	86.7%	0.15
70	J.Lester	🇦🇺 AUSTRALIA	80	86.2%	0.14
71	G.Lorentz	🇦🇺 AUSTRALIA	80	86.2%	0.14
72	J.Stoppa	🇫🇷 FRANCE	78	85.9%	0.17
73	F.Stretz	🇫🇷 FRANCE	78	85.9%	0.17
74	D.Sacul	🇮🇩 INDONESIA	98	85.7%	0.15
75	D.Gerstman	🇺🇸 USA 1	74	85.1%	0.15
76	J.Sutherlin	🇺🇸 USA 1	74	85.1%	0.15
77	F.Baroni	🇮🇹 ITALY	101	85.1%	0.18
78	M.Ricciarelli	🇮🇹 ITALY	101	85.1%	0.18
79	J.Carruthers	🇨🇦 CANADA	80	85.0%	0.16
80	J.Silver	🇨🇦 CANADA	80	85.0%	0.16
81	M.Amaral	🇧🇷 BRAZIL	86	84.9%	0.15
82	R.Maffei	🇦🇷 ARGENTINA	66	84.8%	0.26
83	E.Scanavino	🇦🇷 ARGENTINA	66	84.8%	0.26
84	P.Castello Branco	🇧🇷 BRAZIL	72	84.7%	0.15
85	R.Marsal	🇩🇪 GERMANY	90	84.4%	0.19
86	E.Wladow	🇩🇪 GERMANY	90	84.4%	0.19
87	M.Wang	🇨🇳 CHINA	101	84.2%	0.20
88	L.Yulin	🇨🇳 CHINA	101	84.2%	0.20
89	P.Maijarern	🇹🇭 THAILAND	82	84.1%	0.23
90	C.De Miguel	🇦🇷 ARGENTINA	86	83.7%	0.20
91	A.Madala	🇦🇷 ARGENTINA	86	83.7%	0.20
92	U.Kratz	🇩🇪 GERMANY	79	83.5%	0.21
93	B.Strater	🇩🇪 GERMANY	79	83.5%	0.21
94	J.Graham	🇿🇦 SOUTH AFRICA	71	83.1%	0.20
95	P.Maybury	🇿🇦 SOUTH AFRICA	71	83.1%	0.20
96	W.Wattar	🇪🇬 EGYPT	64	82.8%	0.19
97	M.Chan	🇭🇰 CHINA HONG KONG	80	82.5%	0.20
98	T.Robb	🇳🇿 NEW ZEALAND	68	82.4%	0.22
99	D.Russell	🇳🇿 NEW ZEALAND	68	82.4%	0.22
100	M.Cornell	🇳🇿 NEW ZEALAND	79	82.3%	0.20
101	V.Cornell	🇳🇿 NEW ZEALAND	79	82.3%	0.20
102	A.El Askalani	🇪🇬 EGYPT	73	82.2%	0.19
103	C.Suriya	🇹🇭 THAILAND	106	82.1%	0.24
104	B.Bateman	🇿🇦 SOUTH AFRICA	66	81.8%	0.21
105	S.Bateman	🇿🇦 SOUTH AFRICA	66	81.8%	0.21
106	S.Abrahams	🇳🇿 NEW ZEALAND	65	81.5%	0.21
107	D.Mcleish	🇳🇿 NEW ZEALAND	65	81.5%	0.21
108	W.Neumann	🇭🇰 CHINA HONG KONG	75	81.3%	0.24
109	H.Humburg	🇩🇪 GERMANY	69	81.2%	0.19
110	G.Mattsson	🇩🇪 GERMANY	69	81.2%	0.19
111	W.Wong	🇭🇰 CHINA HONG KONG	64	81.2%	0.22
112	J.Gueglio	🇦🇷 ARGENTINA	80	81.2%	0.24
113	J.Zanalda	🇦🇷 ARGENTINA	80	81.2%	0.24
114	J.Cassin	🇬🇵 GUADELOUPE	21	81.0%	0.33
115	J.Pelletier	🇬🇵 GUADELOUPE	21	81.0%	0.33
116	K.Gilmour	🇿🇦 SOUTH AFRICA	83	80.7%	0.22
117	H.Kruger	🇿🇦 SOUTH AFRICA	83	80.7%	0.22
118	J.Pan	🇨🇳 CHINA	49	79.6%	0.20
119	G.Xuehai	🇨🇳 CHINA	49	79.6%	0.20
120	G.Wong	🇭🇰 CHINA HONG KONG	80	78.8%	0.26
121	P.Choy	🇭🇰 CHINA HONG KONG	107	74.8%	0.25
122	Y.Chan	🇭🇰 CHINA HONG KONG	94	74.5%	0.26
123	A.Vaidya	🇮🇳 INDIA	28	92.9%	0.07
124	G.Baze	🇺🇸 USA 2	48	87.5%	0.15
125	R.Meltzer	🇺🇸 USA 2	48	87.5%	0.15
126	J.Goenka	🇮🇳 INDIA	52	86.5%	0.15
127	T.Sakurai	🇯🇵 JAPAN	6	83.3%	0.33
128	M.Sawiruddin	🇮🇩 INDONESIA	41	80.5%	0.20
129	A.Suriya	🇹🇭 THAILAND	46	80.4%	0.26
130	T.Yongchareon	🇹🇭 THAILAND	40	77.5%	0.38

Strength of schedule — opponent-adjusted Butler↑ top

On every board a player meets a specific opposing pair, and strong opponents defend and bid well — which quietly depresses your cross-IMP. Opp /bd is the mean cumulative Butler of the pairs faced, i.e. the strength of the draw (+ tough, − easy). Adj /bd adds it back — a tough draw is credited, an easy one discounted — and Δ is the resulting move against the raw Butler order. Regulars only (≥ 40% of the boards). Click a column header to sort; filter by name or team.

#	Player	Team	Boards	Opp /bd	Raw /bd	Adj /bd	Δ
1	R.Bates	🇺🇸 USA 2	288	-0.07	+0.99	+0.91	·
2	A.Sontag	🇺🇸 USA 2	288	-0.07	+0.99	+0.91	·
3	F.Hoffer	🇨🇦 CANADA	224	+0.08	+0.73	+0.81	·
4	D.Piafsky	🇨🇦 CANADA	224	+0.08	+0.73	+0.81	·
5	E.Vianna	🇧🇷 BRAZIL	224	+0.12	+0.54	+0.66	▲10
6	G.Kasle	🇺🇸 USA 1	224	-0.07	+0.72	+0.65	▼1
7	R.Smith	🇺🇸 USA 1	224	-0.07	+0.72	+0.65	▼1
8	P.Piganeau	🇫🇷 FRANCE	224	+0.00	+0.59	+0.60	▲1
9	J.Py	🇫🇷 FRANCE	224	+0.00	+0.59	+0.60	▲1
10	H.Lasut	🇮🇩 INDONESIA	336	+0.00	+0.59	+0.59	▲1
11	E.Manoppo	🇮🇩 INDONESIA	336	+0.00	+0.59	+0.59	▲1
12	M.Castello Branco	🇧🇷 BRAZIL	256	+0.05	+0.49	+0.54	▲4
13	K.Omernik	🇵🇱 POLAND	176	-0.15	+0.65	+0.50	▼6
14	J.Pochron	🇵🇱 POLAND	176	-0.15	+0.65	+0.50	▼6
15	B.Baran	🇨🇦 CANADA	240	-0.07	+0.54	+0.47	▼2
16	A.Hobart	🇨🇦 CANADA	240	-0.07	+0.54	+0.47	▼2
17	K.Lasocki	🇵🇱 POLAND	272	-0.02	+0.48	+0.46	·
18	J.Russyan	🇵🇱 POLAND	272	-0.02	+0.48	+0.46	·
19	D.De Falco	🇮🇹 ITALY	176	-0.03	+0.42	+0.38	▲2
20	G.Resta	🇮🇹 ITALY	176	-0.03	+0.42	+0.38	▲2
21	P.Grenthe	🇫🇷 FRANCE	224	+0.02	+0.33	+0.36	▲8
22	P.Vanhoutte	🇫🇷 FRANCE	224	+0.02	+0.33	+0.36	▲8
23	F.Baroni	🇮🇹 ITALY	272	-0.04	+0.37	+0.34	▲2
24	M.Ricciarelli	🇮🇹 ITALY	272	-0.04	+0.37	+0.34	▲2
25	A.Ruia	🇮🇳 INDIA	304	+0.08	+0.26	+0.33	▲8
26	A.Sequira	🇮🇳 INDIA	304	+0.08	+0.26	+0.33	▲8
27	C.Camacho	🇧🇷 BRAZIL	224	-0.12	+0.45	+0.33	▼8
28	C.Fonseca	🇧🇷 BRAZIL	224	-0.12	+0.45	+0.33	▼8
29	J.Lester	🇦🇺 AUSTRALIA	240	+0.03	+0.28	+0.31	▲2
30	G.Lorentz	🇦🇺 AUSTRALIA	240	+0.03	+0.28	+0.31	▲2
31	A.Jezioro	🇵🇱 POLAND	224	+0.11	+0.14	+0.26	▲16
32	J.Klukowski	🇵🇱 POLAND	224	+0.11	+0.14	+0.26	▲16
33	H.Humburg	🇩🇪 GERMANY	208	-0.10	+0.36	+0.26	▼6
34	G.Mattsson	🇩🇪 GERMANY	208	-0.10	+0.36	+0.26	▼6
35	D.Morse	🇺🇸 USA 1	224	-0.03	+0.26	+0.23	·
36	B.Wolff	🇺🇸 USA 1	224	-0.03	+0.26	+0.23	·
37	J.Carruthers	🇨🇦 CANADA	208	-0.18	+0.40	+0.22	▼14
38	J.Silver	🇨🇦 CANADA	208	-0.18	+0.40	+0.22	▼14
39	B.Bramley	🇺🇸 USA 2	272	-0.01	+0.22	+0.21	·
40	L.Stansby	🇺🇸 USA 2	272	-0.01	+0.22	+0.21	·
41	L.Burgay	🇮🇹 ITALY	224	+0.03	+0.17	+0.20	▲2
42	C.Mariani	🇮🇹 ITALY	224	+0.03	+0.17	+0.20	▲2
43	M.Khalil	🇪🇬 EGYPT	272	+0.07	+0.13	+0.20	▲6
44	M.Khedr	🇪🇬 EGYPT	272	+0.07	+0.13	+0.20	▲6
45	F.Dahl	🇩🇰 DENMARK	208	-0.06	+0.25	+0.19	▼8
46	G.Norris	🇩🇰 DENMARK	208	-0.06	+0.25	+0.19	▼8
47	D.Gerstman	🇺🇸 USA 1	224	-0.01	+0.17	+0.16	▼2
48	J.Sutherlin	🇺🇸 USA 1	224	-0.01	+0.17	+0.16	▼2
49	J.Stoppa	🇫🇷 FRANCE	224	-0.08	+0.21	+0.13	▼8
50	F.Stretz	🇫🇷 FRANCE	224	-0.08	+0.21	+0.13	▼8
51	A.El Askalani	🇪🇬 EGYPT	224	+0.00	+0.12	+0.12	·
52	J.Li	🇨🇳 CHINA	272	+0.10	+0.02	+0.12	▲12
53	H.Tang	🇨🇳 CHINA	272	+0.10	+0.02	+0.12	▲12
54	C.De Miguel	🇦🇷 ARGENTINA	224	+0.05	+0.06	+0.11	▲5
55	A.Madala	🇦🇷 ARGENTINA	224	+0.05	+0.06	+0.11	▲5
56	M.Wang	🇨🇳 CHINA	256	+0.09	-0.02	+0.08	▲13
57	L.Yulin	🇨🇳 CHINA	256	+0.09	-0.02	+0.08	▲13
58	W.Haughie	🇦🇺 AUSTRALIA	224	-0.02	+0.09	+0.07	▼4
59	D.Lilley	🇦🇺 AUSTRALIA	224	-0.02	+0.09	+0.07	▼4
60	K.Ohno	🇯🇵 JAPAN	336	+0.02	+0.04	+0.06	▲1
61	A.Yamada	🇯🇵 JAPAN	336	+0.02	+0.04	+0.06	▲1
62	J.Gueglio	🇦🇷 ARGENTINA	224	+0.06	+0.00	+0.06	▲4
63	J.Zanalda	🇦🇷 ARGENTINA	224	+0.06	+0.00	+0.06	▲4
64	U.Kratz	🇩🇪 GERMANY	208	+0.12	-0.08	+0.04	▲8
65	B.Strater	🇩🇪 GERMANY	208	+0.12	-0.08	+0.04	▲8
66	J.Boulogne	🇬🇵 GUADELOUPE	224	+0.14	-0.11	+0.03	▲13
67	D.Gerin	🇬🇵 GUADELOUPE	224	+0.14	-0.11	+0.03	▲13
68	P.Lund	🇩🇰 DENMARK	224	+0.14	-0.12	+0.02	▲14
69	S.Moller	🇩🇰 DENMARK	224	+0.14	-0.12	+0.02	▲14
70	W.Wattar	🇪🇬 EGYPT	208	-0.04	+0.04	+0.00	▼7
71	S.Flodqvist	🇸🇪 SWEDEN	240	+0.08	-0.10	-0.02	▲5
72	A.Sjoberg	🇸🇪 SWEDEN	240	+0.08	-0.10	-0.02	▲5
73	S.Ekberg	🇸🇪 SWEDEN	208	+0.15	-0.17	-0.02	▲14
74	B.Jansson	🇸🇪 SWEDEN	208	+0.15	-0.17	-0.02	▲14
75	S.Gupta	🇮🇳 INDIA	304	+0.03	-0.07	-0.04	▼4
76	P.Jariyanantanetr	🇹🇭 THAILAND	304	-0.11	+0.07	-0.04	▼18
77	F.Waluyan	🇮🇩 INDONESIA	208	-0.04	+0.00	-0.04	▼9
78	R.Klinger	🇦🇺 AUSTRALIA	208	+0.04	-0.09	-0.06	▼4
79	Z.Nagy	🇦🇺 AUSTRALIA	208	+0.04	-0.09	-0.06	▼4
80	M.Hirata	🇯🇵 JAPAN	320	+0.03	-0.10	-0.06	▼2
81	M.Cornell	🇳🇿 NEW ZEALAND	256	+0.20	-0.28	-0.09	▲19
82	V.Cornell	🇳🇿 NEW ZEALAND	256	+0.20	-0.28	-0.09	▲19
83	P.Castello Branco	🇧🇷 BRAZIL	192	+0.07	-0.16	-0.09	▲3
84	S.Fager	🇸🇪 SWEDEN	224	-0.18	+0.09	-0.09	▼32
85	H.Hallen	🇸🇪 SWEDEN	224	-0.18	+0.09	-0.09	▼32
86	M.Amaral	🇧🇷 BRAZIL	224	+0.00	-0.12	-0.11	▼5
87	Y.Chan	🇭🇰 CHINA HONG KONG	240	+0.02	-0.14	-0.12	▼3
88	Y.Nakamura	🇯🇵 JAPAN	336	+0.02	-0.16	-0.14	▼3
89	P.Choy	🇭🇰 CHINA HONG KONG	256	+0.10	-0.24	-0.14	▲9
90	SRIDHAR R	🇮🇳 INDIA	240	-0.00	-0.20	-0.20	▲2
91	D.Sacul	🇮🇩 INDONESIA	336	-0.03	-0.18	-0.21	▼2
92	J.Pan	🇨🇳 CHINA	144	-0.28	+0.07	-0.21	▼36
93	G.Xuehai	🇨🇳 CHINA	144	-0.28	+0.07	-0.21	▼36
94	J.Auken	🇩🇰 DENMARK	240	-0.01	-0.21	-0.22	▼1
95	K.Moller	🇩🇰 DENMARK	240	-0.01	-0.21	-0.22	▼1
96	R.Maffei	🇦🇷 ARGENTINA	224	-0.01	-0.23	-0.24	·
97	E.Scanavino	🇦🇷 ARGENTINA	224	-0.01	-0.23	-0.24	·
98	W.Wong	🇭🇰 CHINA HONG KONG	192	-0.07	-0.19	-0.26	▼8
99	M.Kamel	🇪🇬 EGYPT	208	-0.02	-0.25	-0.27	·
100	M.Chan	🇭🇰 CHINA HONG KONG	224	-0.06	-0.21	-0.28	▼5
101	L.Samie	🇪🇬 EGYPT	160	-0.10	-0.20	-0.30	▼10
102	C.Suriya	🇹🇭 THAILAND	304	+0.01	-0.35	-0.34	▲2
103	V.Chinmanas	🇹🇭 THAILAND	272	-0.04	-0.34	-0.38	·
104	P.Maijarern	🇹🇭 THAILAND	256	-0.09	-0.31	-0.40	▼2
105	R.Marsal	🇩🇪 GERMANY	256	-0.03	-0.46	-0.48	·
106	E.Wladow	🇩🇪 GERMANY	256	-0.03	-0.46	-0.48	·
107	J.Favard	🇬🇵 GUADELOUPE	224	-0.03	-0.62	-0.64	·
108	F.Mondor	🇬🇵 GUADELOUPE	224	-0.03	-0.62	-0.64	·
109	J.Cassin	🇬🇵 GUADELOUPE	224	-0.02	-0.66	-0.67	·
110	J.Pelletier	🇬🇵 GUADELOUPE	224	-0.02	-0.66	-0.67	·
111	K.Gilmour	🇿🇦 SOUTH AFRICA	224	+0.17	-1.03	-0.87	▲8
112	H.Kruger	🇿🇦 SOUTH AFRICA	224	+0.17	-1.03	-0.87	▲8
113	G.Wong	🇭🇰 CHINA HONG KONG	224	+0.01	-0.91	-0.90	▲3
114	W.Neumann	🇭🇰 CHINA HONG KONG	208	-0.05	-0.87	-0.92	▼1
115	S.Abrahams	🇳🇿 NEW ZEALAND	224	-0.01	-0.95	-0.96	▲2
116	D.Mcleish	🇳🇿 NEW ZEALAND	224	-0.01	-0.95	-0.96	▲2
117	T.Robb	🇳🇿 NEW ZEALAND	192	-0.13	-0.84	-0.97	▼6
118	D.Russell	🇳🇿 NEW ZEALAND	192	-0.13	-0.84	-0.97	▼6
119	J.Graham	🇿🇦 SOUTH AFRICA	224	-0.12	-0.90	-1.02	▼5
120	P.Maybury	🇿🇦 SOUTH AFRICA	224	-0.12	-0.90	-1.02	▼5
121	B.Bateman	🇿🇦 SOUTH AFRICA	224	+0.05	-1.44	-1.39	·
122	S.Bateman	🇿🇦 SOUTH AFRICA	224	+0.05	-1.44	-1.39	·

Stages

Statistics