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	F.Fantoni	🇮🇹 ITALY	224	+1.21	+272.0
2	C.Nunes	🇮🇹 ITALY	224	+1.21	+272.0
3	S.Garner	🇺🇸 USA 1	272	+0.94	+255.0
4	H.Weinstein	🇺🇸 USA 1	272	+0.94	+255.0
5	G.Helgemo	🇳🇴 NORWAY	240	+0.78	+186.0
6	T.Helness	🇳🇴 NORWAY	240	+0.78	+186.0
7	R.Freeman	🇺🇸 USA 2	208	+0.75	+156.0
8	N.Nickell	🇺🇸 USA 2	208	+0.75	+156.0
9	P.Bertheau	🇸🇪 SWEDEN	256	+0.60	+153.0
10	F.Nystrom	🇸🇪 SWEDEN	256	+0.60	+153.0
11	A.Grant	🇳🇿 NEW ZEALAND	208	+0.59	+122.0
12	A.Ker	🇳🇿 NEW ZEALAND	208	+0.59	+122.0
13	T.Asbi	🇮🇩 INDONESIA	288	+0.53	+154.0
14	R.Parasian Tobing	🇮🇩 INDONESIA	288	+0.53	+154.0
15	J.Carroll	🇮🇪 IRELAND	208	+0.53	+111.0
16	T.Garvey	🇮🇪 IRELAND	208	+0.53	+111.0
17	B.Brogeland	🇳🇴 NORWAY	208	+0.51	+107.0
18	E.Saelensminde	🇳🇴 NORWAY	208	+0.51	+107.0
19	C.Bosenberg	🇿🇦 SOUTH AFRICA	238	+0.45	+107.0
20	N.Eber	🇿🇦 SOUTH AFRICA	238	+0.45	+107.0
21	G.Chagas	🇧🇷 BRAZIL	336	+0.45	+150.0
22	M.Villas-Boas	🇧🇷 BRAZIL	336	+0.45	+150.0
23	S.Brink	🇳🇱 NETHERLANDS	256	+0.32	+81.0
24	B.Drijver	🇳🇱 NETHERLANDS	256	+0.32	+81.0
25	S.De Wijs	🇳🇱 NETHERLANDS	208	+0.28	+59.0
26	B.Muller	🇳🇱 NETHERLANDS	208	+0.28	+59.0
27	A.Sadhu	🇮🇳 INDIA	224	+0.27	+61.0
28	K.Roy	🇮🇳 INDIA	240	+0.27	+65.0
29	B.Gierulski	🇵🇱 POLAND	208	+0.27	+56.0
30	J.Skrzypczak	🇵🇱 POLAND	208	+0.27	+56.0
31	R.Jedrychowski	🇦🇺 AUSTRALIA	224	+0.23	+51.0
32	B.Neill	🇦🇺 AUSTRALIA	224	+0.23	+51.0
33	H.Shi	🇨🇳 CHINA SMEG	240	+0.22	+53.0
34	Z.Zhuang	🇨🇳 CHINA SMEG	240	+0.22	+53.0
35	L.Lauria	🇮🇹 ITALY	224	+0.22	+49.0
36	A.Versace	🇮🇹 ITALY	224	+0.22	+49.0
37	P.Gumby	🇦🇺 AUSTRALIA	224	+0.19	+43.0
38	W.Lazer	🇦🇺 AUSTRALIA	224	+0.19	+43.0
39	T.Cope	🇿🇦 SOUTH AFRICA	240	+0.19	+46.0
40	G.Holman	🇿🇦 SOUTH AFRICA	240	+0.19	+46.0
41	C.Pellegrini	🇦🇷 ARGENTINA	336	+0.18	+62.0
42	P.Ravenna	🇦🇷 ARGENTINA	336	+0.18	+62.0
43	Z.Fu	🇨🇳 CHINA SMEG	224	+0.12	+27.0
44	J.Zhao	🇨🇳 CHINA SMEG	224	+0.12	+27.0
45	T.Imakura	🇯🇵 JAPAN	240	+0.11	+26.0
46	M.Ino	🇯🇵 JAPAN	240	+0.11	+26.0
47	T.Bakkeren	🇳🇱 NETHERLANDS	208	+0.11	+22.0
48	H.Bertens	🇳🇱 NETHERLANDS	208	+0.11	+22.0
49	P.Jassem	🇵🇱 POLAND	224	+0.07	+15.0
50	K.Martens	🇵🇱 POLAND	224	+0.07	+15.0
51	D.Chen	🇯🇵 JAPAN	240	+0.06	+15.0
52	K.Furuta	🇯🇵 JAPAN	240	+0.06	+15.0
53	M.Heshmat	🇪🇬 EGYPT	192	+0.05	+9.0
54	T.Nadim	🇪🇬 EGYPT	192	+0.05	+9.0
55	H.Yang	🇹🇼 CHINESE TAIPEI	176	+0.03	+5.0
56	C.Chen	🇹🇼 CHINESE TAIPEI	288	+0.02	+6.0
57	A.Goel	🇮🇳 INDIA	224	-0.00	-1.0
58	K.Mukherjee	🇮🇳 INDIA	224	-0.00	-1.0
59	W.El Ahmady	🇪🇬 EGYPT	288	-0.01	-3.0
60	T.Sadek	🇪🇬 EGYPT	288	-0.01	-3.0
61	M.Green	🇦🇺 AUSTRALIA	224	-0.02	-4.0
62	A.Peake	🇦🇺 AUSTRALIA	224	-0.02	-4.0
63	J.Shih	🇹🇼 CHINESE TAIPEI	272	-0.02	-6.0
64	J.Meckstroth	🇺🇸 USA 2	288	-0.03	-10.0
65	E.Rodwell	🇺🇸 USA 2	288	-0.03	-10.0
66	R.Jafer	🇵🇰 PAKISTAN	224	-0.04	-9.0
67	S.Khan	🇵🇰 PAKISTAN	224	-0.04	-9.0
68	B.Chmurski	🇵🇱 POLAND	240	-0.04	-10.0
69	P.Gawrys	🇵🇱 POLAND	240	-0.04	-10.0
70	B.Efraimsson	🇸🇪 SWEDEN	208	-0.06	-13.0
71	A.Morath	🇸🇪 SWEDEN	208	-0.06	-13.0
72	B.Hamman	🇺🇸 USA 2	176	-0.08	-14.0
73	H.Lall	🇺🇸 USA 2	176	-0.08	-14.0
74	C.Wu	🇹🇼 CHINESE TAIPEI	256	-0.09	-23.0
75	A.Allana	🇵🇰 PAKISTAN	240	-0.09	-22.0
76	J.Fazli	🇵🇰 PAKISTAN	240	-0.09	-22.0
77	L.Palazzo	🇦🇷 ARGENTINA	256	-0.13	-33.0
78	R.Amiry	🇪🇬 EGYPT	192	-0.17	-33.0
79	A.Samir	🇪🇬 EGYPT	192	-0.17	-33.0
80	N.Fitzgibbon	🇮🇪 IRELAND	224	-0.17	-39.0
81	A.Mesbur	🇮🇪 IRELAND	224	-0.17	-39.0
82	S.Sun	🇨🇳 CHINA SMEG	208	-0.19	-40.0
83	X.Wang	🇨🇳 CHINA SMEG	208	-0.19	-40.0
84	A.Apteker	🇿🇦 SOUTH AFRICA	192	-0.21	-40.0
85	C.Gower	🇿🇦 SOUTH AFRICA	192	-0.21	-40.0
86	Z.Mahmood	🇺🇸 USA 1	272	-0.21	-58.0
87	M.Rosenberg	🇺🇸 USA 1	272	-0.21	-58.0
88	C.Shen	🇹🇼 CHINESE TAIPEI	240	-0.22	-52.0
89	D.Clarke	🇹🇹 TRINIDAD & TOBAGO	256	-0.22	-56.0
90	J.Smith	🇨🇦 CANADA	224	-0.25	-55.0
91	J.Zaluski	🇨🇦 CANADA	224	-0.25	-55.0
92	M.Takayama	🇯🇵 JAPAN	192	-0.26	-50.0
93	T.Teramoto	🇯🇵 JAPAN	192	-0.26	-50.0
94	P.Lambardi	🇦🇷 ARGENTINA	336	-0.27	-91.0
95	K.Fergani	🇨🇦 CANADA	208	-0.30	-62.0
96	N.L'Ecuyer	🇨🇦 CANADA	208	-0.30	-62.0
97	J.Bojoh	🇮🇩 INDONESIA	192	-0.32	-62.0
98	J.George	🇮🇩 INDONESIA	208	-0.35	-72.0
99	T.Hanlon	🇮🇪 IRELAND	240	-0.36	-87.0
100	H.Mcgann	🇮🇪 IRELAND	240	-0.36	-87.0
101	D.Brenner	🇧🇷 BRAZIL	224	-0.38	-85.0
102	M.Figueiredo	🇧🇷 BRAZIL	224	-0.38	-85.0
103	P.Cullin	🇸🇪 SWEDEN	208	-0.39	-81.0
104	J.Upmark	🇸🇪 SWEDEN	208	-0.39	-81.0
105	J.Ahmed	🇵🇰 PAKISTAN	208	-0.41	-85.0
106	T.Masood	🇵🇰 PAKISTAN	208	-0.41	-85.0
107	N.Bocchi	🇮🇹 ITALY	224	-0.46	-102.0
108	G.Duboin	🇮🇹 ITALY	224	-0.46	-102.0
109	M.Seepersad	🇹🇹 TRINIDAD & TOBAGO	224	-0.47	-105.0
110	D.Ackerley	🇳🇿 NEW ZEALAND	238	-0.48	-114.0
111	S.Smith	🇳🇿 NEW ZEALAND	238	-0.48	-114.0
112	G.Groetheim	🇳🇴 NORWAY	224	-0.57	-128.0
113	U.Tundal	🇳🇴 NORWAY	224	-0.57	-128.0
114	W.Frukacz	🇨🇦 CANADA	240	-0.59	-142.0
115	P.Klimowicz	🇨🇦 CANADA	240	-0.59	-142.0
116	R.Mapp	🇹🇹 TRINIDAD & TOBAGO	288	-0.66	-189.0
117	G.Watulingas	🇮🇩 INDONESIA	192	-0.67	-128.0
118	K.Ong	🇮🇩 INDONESIA	176	-0.67	-118.0
119	R.Vieira	🇹🇹 TRINIDAD & TOBAGO	176	-0.69	-121.0
120	T.Hart	🇹🇹 TRINIDAD & TOBAGO	256	-0.70	-178.0
121	P.Kushari	🇮🇳 INDIA	224	-0.83	-186.0
122	D.Roy	🇮🇳 INDIA	208	-0.91	-190.0
123	J.Miller	🇳🇿 NEW ZEALAND	224	-1.00	-223.0
124	G.Stout	🇳🇿 NEW ZEALAND	224	-1.00	-223.0
125	B.Persad	🇹🇹 TRINIDAD & TOBAGO	144	-1.19	-171.0
126	G.Jacobs	🇺🇸 USA 1	128	+0.32	+41.0
127	R.Katz	🇺🇸 USA 1	128	+0.32	+41.0
128	A.Gonzales Noguera	🇦🇷 ARGENTINA	32	+0.25	+8.0
129	P.Brum	🇧🇷 BRAZIL	112	-0.09	-10.0
130	M.Toma	🇧🇷 BRAZIL	112	-0.09	-10.0
131	C.Yeh	🇹🇼 CHINESE TAIPEI	112	-1.02	-114.0
132	H.Uman	🇦🇷 ARGENTINA	48	-1.38	-66.0

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	L.Lauria	🇮🇹 ITALY	26	100.0%	0.00
2	R.Vieira	🇹🇹 TRINIDAD & TOBAGO	32	96.9%	0.03
3	B.Efraimsson	🇸🇪 SWEDEN	38	94.7%	0.05
4	P.Gawrys	🇵🇱 POLAND	49	93.9%	0.06
5	E.Saelensminde	🇳🇴 NORWAY	40	92.5%	0.10
6	N.Fitzgibbon	🇮🇪 IRELAND	26	92.3%	0.08
7	R.Mapp	🇹🇹 TRINIDAD & TOBAGO	48	91.7%	0.10
8	Z.Mahmood	🇺🇸 USA 1	35	91.4%	0.09
9	T.Asbi	🇮🇩 INDONESIA	56	91.1%	0.11
10	J.Meckstroth	🇺🇸 USA 2	44	90.9%	0.11
11	M.Green	🇦🇺 AUSTRALIA	44	90.9%	0.11
12	E.Rodwell	🇺🇸 USA 2	43	90.7%	0.12
13	B.Brogeland	🇳🇴 NORWAY	42	90.5%	0.10
14	P.Lambardi	🇦🇷 ARGENTINA	52	90.4%	0.10
15	D.Chen	🇯🇵 JAPAN	40	90.0%	0.10
16	K.Furuta	🇯🇵 JAPAN	40	90.0%	0.12
17	P.Jassem	🇵🇱 POLAND	30	90.0%	0.20
18	R.Jedrychowski	🇦🇺 AUSTRALIA	49	89.8%	0.10
19	G.Duboin	🇮🇹 ITALY	29	89.7%	0.10
20	B.Gierulski	🇵🇱 POLAND	29	89.7%	0.14
21	A.Morath	🇸🇪 SWEDEN	48	89.6%	0.10
22	H.Mcgann	🇮🇪 IRELAND	38	89.5%	0.10
23	G.Helgemo	🇳🇴 NORWAY	36	88.9%	0.11
24	P.Kushari	🇮🇳 INDIA	27	88.9%	0.15
25	J.Carroll	🇮🇪 IRELAND	35	88.6%	0.11
26	A.Ker	🇳🇿 NEW ZEALAND	44	88.6%	0.18
27	H.Yang	🇹🇼 CHINESE TAIPEI	35	88.6%	0.20
28	J.Bojoh	🇮🇩 INDONESIA	26	88.5%	0.15
29	X.Wang	🇨🇳 CHINA SMEG	43	88.4%	0.12
30	R.Parasian Tobing	🇮🇩 INDONESIA	60	88.3%	0.13
31	B.Drijver	🇳🇱 NETHERLANDS	42	88.1%	0.14
32	S.De Wijs	🇳🇱 NETHERLANDS	33	87.9%	0.15
33	A.Sadhu	🇮🇳 INDIA	33	87.9%	0.15
34	C.Shen	🇹🇼 CHINESE TAIPEI	41	87.8%	0.12
35	D.Ackerley	🇳🇿 NEW ZEALAND	32	87.5%	0.12
36	K.Roy	🇮🇳 INDIA	40	87.5%	0.12
37	H.Bertens	🇳🇱 NETHERLANDS	40	87.5%	0.15
38	A.Versace	🇮🇹 ITALY	40	87.5%	0.15
39	F.Nystrom	🇸🇪 SWEDEN	40	87.5%	0.15
40	T.Nadim	🇪🇬 EGYPT	24	87.5%	0.17
41	R.Jafer	🇵🇰 PAKISTAN	40	87.5%	0.17
42	M.Heshmat	🇪🇬 EGYPT	40	87.5%	0.20
43	L.Palazzo	🇦🇷 ARGENTINA	47	87.2%	0.13
44	T.Sadek	🇪🇬 EGYPT	46	87.0%	0.15
45	Z.Zhuang	🇨🇳 CHINA SMEG	38	86.8%	0.13
46	T.Hanlon	🇮🇪 IRELAND	38	86.8%	0.16
47	J.Skrzypczak	🇵🇱 POLAND	37	86.5%	0.14
48	G.Chagas	🇧🇷 BRAZIL	57	86.0%	0.17
49	S.Brink	🇳🇱 NETHERLANDS	49	85.7%	0.14
50	M.Rosenberg	🇺🇸 USA 1	42	85.7%	0.14
51	S.Khan	🇵🇰 PAKISTAN	42	85.7%	0.14
52	W.El Ahmady	🇪🇬 EGYPT	63	85.7%	0.17
53	C.Bosenberg	🇿🇦 SOUTH AFRICA	42	85.7%	0.19
54	T.Cope	🇿🇦 SOUTH AFRICA	41	85.4%	0.17
55	F.Fantoni	🇮🇹 ITALY	48	85.4%	0.19
56	B.Hamman	🇺🇸 USA 2	20	85.0%	0.15
57	A.Peake	🇦🇺 AUSTRALIA	40	85.0%	0.17
58	H.Shi	🇨🇳 CHINA SMEG	53	84.9%	0.19
59	T.Garvey	🇮🇪 IRELAND	46	84.8%	0.20
60	P.Bertheau	🇸🇪 SWEDEN	46	84.8%	0.22
61	S.Sun	🇨🇳 CHINA SMEG	32	84.4%	0.16
62	T.Masood	🇵🇰 PAKISTAN	37	83.8%	0.16
63	M.Figueiredo	🇧🇷 BRAZIL	30	83.3%	0.17
64	G.Stout	🇳🇿 NEW ZEALAND	36	83.3%	0.17
65	H.Lall	🇺🇸 USA 2	36	83.3%	0.17
66	N.L'Ecuyer	🇨🇦 CANADA	36	83.3%	0.17
67	J.Zhao	🇨🇳 CHINA SMEG	48	83.3%	0.19
68	N.Nickell	🇺🇸 USA 2	36	83.3%	0.19
69	J.Zaluski	🇨🇦 CANADA	36	83.3%	0.19
70	K.Ong	🇮🇩 INDONESIA	30	83.3%	0.20
71	S.Garner	🇺🇸 USA 1	47	83.0%	0.23
72	J.Miller	🇳🇿 NEW ZEALAND	41	82.9%	0.17
73	K.Fergani	🇨🇦 CANADA	29	82.8%	0.21
74	Z.Fu	🇨🇳 CHINA SMEG	40	82.5%	0.17
75	B.Muller	🇳🇱 NETHERLANDS	40	82.5%	0.23
76	P.Gumby	🇦🇺 AUSTRALIA	45	82.2%	0.20
77	W.Lazer	🇦🇺 AUSTRALIA	39	82.1%	0.18
78	P.Klimowicz	🇨🇦 CANADA	39	82.1%	0.18
79	M.Takayama	🇯🇵 JAPAN	33	81.8%	0.18
80	C.Gower	🇿🇦 SOUTH AFRICA	33	81.8%	0.21
81	T.Teramoto	🇯🇵 JAPAN	38	81.6%	0.18
82	R.Freeman	🇺🇸 USA 2	43	81.4%	0.21
83	P.Ravenna	🇦🇷 ARGENTINA	59	81.4%	0.24
84	A.Apteker	🇿🇦 SOUTH AFRICA	21	81.0%	0.19
85	H.Weinstein	🇺🇸 USA 1	52	80.8%	0.19
86	D.Roy	🇮🇳 INDIA	26	80.8%	0.19
87	R.Amiry	🇪🇬 EGYPT	36	80.6%	0.19
88	A.Samir	🇪🇬 EGYPT	31	80.6%	0.19
89	B.Chmurski	🇵🇱 POLAND	36	80.6%	0.19
90	T.Helness	🇳🇴 NORWAY	31	80.6%	0.23
91	M.Villas-Boas	🇧🇷 BRAZIL	56	80.4%	0.21
92	N.Bocchi	🇮🇹 ITALY	46	80.4%	0.22
93	T.Imakura	🇯🇵 JAPAN	30	80.0%	0.20
94	K.Mukherjee	🇮🇳 INDIA	35	80.0%	0.20
95	J.Smith	🇨🇦 CANADA	25	80.0%	0.20
96	D.Brenner	🇧🇷 BRAZIL	35	80.0%	0.23
97	T.Bakkeren	🇳🇱 NETHERLANDS	35	80.0%	0.29
98	C.Wu	🇹🇼 CHINESE TAIPEI	44	79.5%	0.23
99	N.Eber	🇿🇦 SOUTH AFRICA	43	79.1%	0.21
100	P.Cullin	🇸🇪 SWEDEN	38	78.9%	0.21
101	J.Fazli	🇵🇰 PAKISTAN	38	78.9%	0.21
102	G.Groetheim	🇳🇴 NORWAY	33	78.8%	0.24
103	J.Ahmed	🇵🇰 PAKISTAN	33	78.8%	0.24
104	M.Ino	🇯🇵 JAPAN	47	78.7%	0.23
105	A.Grant	🇳🇿 NEW ZEALAND	42	78.6%	0.24
106	B.Neill	🇦🇺 AUSTRALIA	28	78.6%	0.25
107	S.Smith	🇳🇿 NEW ZEALAND	32	78.1%	0.28
108	J.Upmark	🇸🇪 SWEDEN	27	77.8%	0.22
109	B.Persad	🇹🇹 TRINIDAD & TOBAGO	27	77.8%	0.22
110	U.Tundal	🇳🇴 NORWAY	26	76.9%	0.23
111	G.Holman	🇿🇦 SOUTH AFRICA	39	76.9%	0.26
112	M.Seepersad	🇹🇹 TRINIDAD & TOBAGO	30	76.7%	0.23
113	G.Watulingas	🇮🇩 INDONESIA	30	76.7%	0.27
114	C.Chen	🇹🇼 CHINESE TAIPEI	34	76.5%	0.23
115	A.Goel	🇮🇳 INDIA	46	76.1%	0.30
116	C.Pellegrini	🇦🇷 ARGENTINA	58	75.9%	0.36
117	C.Nunes	🇮🇹 ITALY	41	75.6%	0.32
118	A.Mesbur	🇮🇪 IRELAND	49	75.5%	0.24
119	D.Clarke	🇹🇹 TRINIDAD & TOBAGO	53	75.5%	0.26
120	A.Allana	🇵🇰 PAKISTAN	40	75.0%	0.25
121	K.Martens	🇵🇱 POLAND	36	75.0%	0.28
122	J.Shih	🇹🇼 CHINESE TAIPEI	52	73.1%	0.29
123	W.Frukacz	🇨🇦 CANADA	35	71.4%	0.31
124	T.Hart	🇹🇹 TRINIDAD & TOBAGO	40	70.0%	0.33
125	J.George	🇮🇩 INDONESIA	33	69.7%	0.30
126	A.Gonzales Noguera	🇦🇷 ARGENTINA	5	100.0%	0.00
127	P.Brum	🇧🇷 BRAZIL	16	93.8%	0.06
128	G.Jacobs	🇺🇸 USA 1	22	90.9%	0.09
129	R.Katz	🇺🇸 USA 1	24	87.5%	0.12
130	C.Yeh	🇹🇼 CHINESE TAIPEI	23	87.0%	0.13
131	H.Uman	🇦🇷 ARGENTINA	6	66.7%	0.33
132	M.Toma	🇧🇷 BRAZIL	24	66.7%	0.38

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	A.Sadhu	🇮🇳 INDIA	27	92.6%	0.11
2	Z.Fu	🇨🇳 CHINA SMEG	38	92.1%	0.10
3	B.Muller	🇳🇱 NETHERLANDS	34	91.2%	0.09
4	W.Lazer	🇦🇺 AUSTRALIA	34	91.2%	0.12
5	T.Cope	🇿🇦 SOUTH AFRICA	30	90.0%	0.10
6	G.Duboin	🇮🇹 ITALY	45	88.9%	0.16
7	K.Furuta	🇯🇵 JAPAN	32	87.5%	0.12
8	M.Villas-Boas	🇧🇷 BRAZIL	64	87.5%	0.19
9	P.Lambardi	🇦🇷 ARGENTINA	50	86.0%	0.16
10	F.Fantoni	🇮🇹 ITALY	35	85.7%	0.14
11	T.Sadek	🇪🇬 EGYPT	42	85.7%	0.14
12	C.Gower	🇿🇦 SOUTH AFRICA	35	85.7%	0.17
13	B.Hamman	🇺🇸 USA 2	28	85.7%	0.18
14	T.Helness	🇳🇴 NORWAY	34	85.3%	0.15
15	J.Meckstroth	🇺🇸 USA 2	60	85.0%	0.15
16	P.Cullin	🇸🇪 SWEDEN	33	84.8%	0.15
17	H.Yang	🇹🇼 CHINESE TAIPEI	26	84.6%	0.23
18	P.Jassem	🇵🇱 POLAND	45	84.4%	0.18
19	D.Chen	🇯🇵 JAPAN	44	84.1%	0.18
20	T.Masood	🇵🇰 PAKISTAN	44	84.1%	0.20
21	K.Mukherjee	🇮🇳 INDIA	37	83.8%	0.19
22	C.Wu	🇹🇼 CHINESE TAIPEI	37	83.8%	0.19
23	T.Nadim	🇪🇬 EGYPT	43	83.7%	0.23
24	B.Chmurski	🇵🇱 POLAND	36	83.3%	0.17
25	T.Garvey	🇮🇪 IRELAND	35	82.9%	0.20
26	T.Asbi	🇮🇩 INDONESIA	46	82.6%	0.22
27	B.Neill	🇦🇺 AUSTRALIA	34	82.4%	0.21
28	J.Upmark	🇸🇪 SWEDEN	45	82.2%	0.18
29	H.Bertens	🇳🇱 NETHERLANDS	45	82.2%	0.24
30	A.Mesbur	🇮🇪 IRELAND	39	82.1%	0.18
31	C.Pellegrini	🇦🇷 ARGENTINA	50	82.0%	0.20
32	P.Gawrys	🇵🇱 POLAND	38	81.6%	0.21
33	J.George	🇮🇩 INDONESIA	27	81.5%	0.22
34	M.Rosenberg	🇺🇸 USA 1	63	81.0%	0.21
35	Z.Zhuang	🇨🇳 CHINA SMEG	42	81.0%	0.24
36	S.Smith	🇳🇿 NEW ZEALAND	47	80.9%	0.23
37	T.Teramoto	🇯🇵 JAPAN	26	80.8%	0.23
38	A.Morath	🇸🇪 SWEDEN	31	80.6%	0.19
39	R.Amiry	🇪🇬 EGYPT	31	80.6%	0.23
40	G.Holman	🇿🇦 SOUTH AFRICA	35	80.0%	0.20
41	H.Shi	🇨🇳 CHINA SMEG	25	80.0%	0.20
42	J.Fazli	🇵🇰 PAKISTAN	30	80.0%	0.23
43	N.L'Ecuyer	🇨🇦 CANADA	45	80.0%	0.29
44	A.Samir	🇪🇬 EGYPT	35	80.0%	0.31
45	R.Parasian Tobing	🇮🇩 INDONESIA	49	79.6%	0.27
46	A.Allana	🇵🇰 PAKISTAN	39	79.5%	0.20
47	B.Drijver	🇳🇱 NETHERLANDS	38	78.9%	0.21
48	S.Brink	🇳🇱 NETHERLANDS	57	78.9%	0.25
49	T.Bakkeren	🇳🇱 NETHERLANDS	33	78.8%	0.21
50	H.Weinstein	🇺🇸 USA 1	56	78.6%	0.23
51	Z.Mahmood	🇺🇸 USA 1	55	78.2%	0.22
52	F.Nystrom	🇸🇪 SWEDEN	41	78.0%	0.22
53	J.Shih	🇹🇼 CHINESE TAIPEI	50	78.0%	0.24
54	R.Mapp	🇹🇹 TRINIDAD & TOBAGO	54	77.8%	0.26
55	N.Nickell	🇺🇸 USA 2	35	77.1%	0.29
56	B.Gierulski	🇵🇱 POLAND	39	76.9%	0.36
57	C.Bosenberg	🇿🇦 SOUTH AFRICA	34	76.5%	0.27
58	E.Saelensminde	🇳🇴 NORWAY	34	76.5%	0.29
59	R.Freeman	🇺🇸 USA 2	37	75.7%	0.24
60	S.De Wijs	🇳🇱 NETHERLANDS	37	75.7%	0.27
61	A.Apteker	🇿🇦 SOUTH AFRICA	37	75.7%	0.27
62	P.Gumby	🇦🇺 AUSTRALIA	37	75.7%	0.35
63	R.Jedrychowski	🇦🇺 AUSTRALIA	41	75.6%	0.24
64	A.Peake	🇦🇺 AUSTRALIA	41	75.6%	0.27
65	M.Seepersad	🇹🇹 TRINIDAD & TOBAGO	53	75.5%	0.26
66	G.Helgemo	🇳🇴 NORWAY	49	75.5%	0.33
67	G.Chagas	🇧🇷 BRAZIL	61	75.4%	0.28
68	D.Roy	🇮🇳 INDIA	28	75.0%	0.25
69	M.Figueiredo	🇧🇷 BRAZIL	44	75.0%	0.41
70	C.Chen	🇹🇼 CHINESE TAIPEI	55	74.5%	0.29
71	A.Versace	🇮🇹 ITALY	43	74.4%	0.30
72	L.Palazzo	🇦🇷 ARGENTINA	39	74.4%	0.31
73	B.Brogeland	🇳🇴 NORWAY	31	74.2%	0.26
74	B.Efraimsson	🇸🇪 SWEDEN	27	74.1%	0.37
75	U.Tundal	🇳🇴 NORWAY	46	73.9%	0.28
76	T.Imakura	🇯🇵 JAPAN	46	73.9%	0.30
77	J.Zaluski	🇨🇦 CANADA	38	73.7%	0.29
78	J.Smith	🇨🇦 CANADA	45	73.3%	0.29
79	P.Ravenna	🇦🇷 ARGENTINA	52	73.1%	0.29
80	G.Groetheim	🇳🇴 NORWAY	48	72.9%	0.35
81	W.Frukacz	🇨🇦 CANADA	55	72.7%	0.33
82	D.Brenner	🇧🇷 BRAZIL	40	72.5%	0.33
83	L.Lauria	🇮🇹 ITALY	40	72.5%	0.35
84	A.Grant	🇳🇿 NEW ZEALAND	29	72.4%	0.28
85	C.Nunes	🇮🇹 ITALY	36	72.2%	0.36
86	N.Bocchi	🇮🇹 ITALY	43	72.1%	0.28
87	S.Garner	🇺🇸 USA 1	43	72.1%	0.35
88	G.Watulingas	🇮🇩 INDONESIA	32	71.9%	0.34
89	A.Goel	🇮🇳 INDIA	28	71.4%	0.32
90	K.Roy	🇮🇳 INDIA	28	71.4%	0.32
91	P.Bertheau	🇸🇪 SWEDEN	42	71.4%	0.33
92	D.Ackerley	🇳🇿 NEW ZEALAND	42	71.4%	0.33
93	W.El Ahmady	🇪🇬 EGYPT	42	71.4%	0.36
94	C.Shen	🇹🇼 CHINESE TAIPEI	35	71.4%	0.37
95	J.Bojoh	🇮🇩 INDONESIA	42	71.4%	0.43
96	S.Sun	🇨🇳 CHINA SMEG	31	71.0%	0.29
97	K.Ong	🇮🇩 INDONESIA	31	71.0%	0.39
98	N.Fitzgibbon	🇮🇪 IRELAND	44	70.5%	0.32
99	H.Mcgann	🇮🇪 IRELAND	37	70.3%	0.32
100	D.Clarke	🇹🇹 TRINIDAD & TOBAGO	47	70.2%	0.30
101	J.Carroll	🇮🇪 IRELAND	30	70.0%	0.40
102	P.Kushari	🇮🇳 INDIA	30	70.0%	0.40
103	M.Ino	🇯🇵 JAPAN	43	69.8%	0.37
104	J.Miller	🇳🇿 NEW ZEALAND	43	69.8%	0.37
105	K.Fergani	🇨🇦 CANADA	33	69.7%	0.30
106	E.Rodwell	🇺🇸 USA 2	49	69.4%	0.33
107	T.Hanlon	🇮🇪 IRELAND	42	69.0%	0.31
108	P.Klimowicz	🇨🇦 CANADA	42	69.0%	0.33
109	M.Takayama	🇯🇵 JAPAN	29	69.0%	0.38
110	N.Eber	🇿🇦 SOUTH AFRICA	38	68.4%	0.34
111	J.Zhao	🇨🇳 CHINA SMEG	28	67.9%	0.43
112	M.Heshmat	🇪🇬 EGYPT	34	67.6%	0.32
113	J.Ahmed	🇵🇰 PAKISTAN	37	67.6%	0.35
114	R.Jafer	🇵🇰 PAKISTAN	37	67.6%	0.38
115	M.Green	🇦🇺 AUSTRALIA	35	65.7%	0.51
116	K.Martens	🇵🇱 POLAND	46	65.2%	0.39
117	G.Stout	🇳🇿 NEW ZEALAND	41	63.4%	0.44
118	X.Wang	🇨🇳 CHINA SMEG	27	63.0%	0.48
119	J.Skrzypczak	🇵🇱 POLAND	23	60.9%	0.56
120	A.Ker	🇳🇿 NEW ZEALAND	30	60.0%	0.40
121	B.Persad	🇹🇹 TRINIDAD & TOBAGO	21	57.1%	0.57
122	H.Lall	🇺🇸 USA 2	23	56.5%	0.48
123	T.Hart	🇹🇹 TRINIDAD & TOBAGO	38	55.3%	0.50
124	S.Khan	🇵🇰 PAKISTAN	45	53.3%	0.49
125	R.Vieira	🇹🇹 TRINIDAD & TOBAGO	26	50.0%	0.58
126	H.Uman	🇦🇷 ARGENTINA	6	83.3%	0.17
127	P.Brum	🇧🇷 BRAZIL	17	82.4%	0.23
128	R.Katz	🇺🇸 USA 1	16	81.2%	0.25
129	A.Gonzales Noguera	🇦🇷 ARGENTINA	11	72.7%	0.55
130	M.Toma	🇧🇷 BRAZIL	22	68.2%	0.36
131	G.Jacobs	🇺🇸 USA 1	25	64.0%	0.52
132	C.Yeh	🇹🇼 CHINESE TAIPEI	11	63.6%	0.46

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	N.Bocchi	🇮🇹 ITALY	75	97.3%	0.03
2	G.Duboin	🇮🇹 ITALY	75	97.3%	0.03
3	C.Bosenberg	🇿🇦 SOUTH AFRICA	85	94.1%	0.06
4	N.Eber	🇿🇦 SOUTH AFRICA	85	94.1%	0.06
5	W.El Ahmady	🇪🇬 EGYPT	109	93.6%	0.11
6	T.Sadek	🇪🇬 EGYPT	109	93.6%	0.11
7	J.Meckstroth	🇺🇸 USA 2	87	93.1%	0.07
8	E.Rodwell	🇺🇸 USA 2	87	93.1%	0.07
9	B.Chmurski	🇵🇱 POLAND	85	92.9%	0.08
10	P.Gawrys	🇵🇱 POLAND	85	92.9%	0.08
11	R.Jafer	🇵🇰 PAKISTAN	82	92.7%	0.10
12	S.Khan	🇵🇰 PAKISTAN	82	92.7%	0.10
13	A.Goel	🇮🇳 INDIA	81	92.6%	0.09
14	K.Mukherjee	🇮🇳 INDIA	81	92.6%	0.09
15	R.Jedrychowski	🇦🇺 AUSTRALIA	77	92.2%	0.08
16	B.Neill	🇦🇺 AUSTRALIA	77	92.2%	0.08
17	S.Sun	🇨🇳 CHINA SMEG	75	92.0%	0.08
18	X.Wang	🇨🇳 CHINA SMEG	75	92.0%	0.08
19	S.De Wijs	🇳🇱 NETHERLANDS	73	91.8%	0.11
20	B.Muller	🇳🇱 NETHERLANDS	73	91.8%	0.11
21	B.Hamman	🇺🇸 USA 2	56	91.1%	0.09
22	H.Lall	🇺🇸 USA 2	56	91.1%	0.09
23	F.Fantoni	🇮🇹 ITALY	89	91.0%	0.09
24	C.Nunes	🇮🇹 ITALY	89	91.0%	0.09
25	L.Lauria	🇮🇹 ITALY	66	90.9%	0.09
26	A.Versace	🇮🇹 ITALY	66	90.9%	0.09
27	P.Jassem	🇵🇱 POLAND	66	90.9%	0.11
28	K.Martens	🇵🇱 POLAND	66	90.9%	0.11
29	P.Bertheau	🇸🇪 SWEDEN	86	90.7%	0.09
30	F.Nystrom	🇸🇪 SWEDEN	86	90.7%	0.09
31	G.Watulingas	🇮🇩 INDONESIA	61	90.2%	0.12
32	K.Ong	🇮🇩 INDONESIA	60	90.0%	0.12
33	T.Cope	🇿🇦 SOUTH AFRICA	80	90.0%	0.12
34	G.Holman	🇿🇦 SOUTH AFRICA	80	90.0%	0.12
35	J.George	🇮🇩 INDONESIA	59	89.8%	0.10
36	D.Roy	🇮🇳 INDIA	49	89.8%	0.12
37	J.Bojoh	🇮🇩 INDONESIA	58	89.7%	0.10
38	A.Sadhu	🇮🇳 INDIA	68	89.7%	0.12
39	G.Helgemo	🇳🇴 NORWAY	67	89.6%	0.10
40	T.Helness	🇳🇴 NORWAY	67	89.6%	0.10
41	B.Efraimsson	🇸🇪 SWEDEN	86	89.5%	0.12
42	A.Morath	🇸🇪 SWEDEN	86	89.5%	0.12
43	J.Shih	🇹🇼 CHINESE TAIPEI	103	89.3%	0.13
44	D.Brenner	🇧🇷 BRAZIL	65	89.2%	0.21
45	M.Figueiredo	🇧🇷 BRAZIL	65	89.2%	0.21
46	B.Brogeland	🇳🇴 NORWAY	82	89.0%	0.11
47	E.Saelensminde	🇳🇴 NORWAY	82	89.0%	0.11
48	H.Shi	🇨🇳 CHINA SMEG	91	89.0%	0.12
49	Z.Zhuang	🇨🇳 CHINA SMEG	91	89.0%	0.12
50	S.Garner	🇺🇸 USA 1	99	88.9%	0.11
51	H.Weinstein	🇺🇸 USA 1	99	88.9%	0.11
52	C.Pellegrini	🇦🇷 ARGENTINA	117	88.9%	0.13
53	P.Ravenna	🇦🇷 ARGENTINA	117	88.9%	0.13
54	K.Roy	🇮🇳 INDIA	77	88.3%	0.13
55	R.Amiry	🇪🇬 EGYPT	67	88.1%	0.13
56	A.Samir	🇪🇬 EGYPT	67	88.1%	0.13
57	C.Chen	🇹🇼 CHINESE TAIPEI	83	88.0%	0.12
58	P.Kushari	🇮🇳 INDIA	58	87.9%	0.14
59	S.Brink	🇳🇱 NETHERLANDS	91	87.9%	0.17
60	B.Drijver	🇳🇱 NETHERLANDS	91	87.9%	0.17
61	W.Frukacz	🇨🇦 CANADA	74	87.8%	0.12
62	P.Klimowicz	🇨🇦 CANADA	74	87.8%	0.12
63	L.Palazzo	🇦🇷 ARGENTINA	82	87.8%	0.15
64	P.Cullin	🇸🇪 SWEDEN	65	87.7%	0.12
65	J.Upmark	🇸🇪 SWEDEN	65	87.7%	0.12
66	J.Carroll	🇮🇪 IRELAND	81	87.7%	0.12
67	T.Garvey	🇮🇪 IRELAND	81	87.7%	0.12
68	K.Fergani	🇨🇦 CANADA	65	87.7%	0.14
69	N.L'Ecuyer	🇨🇦 CANADA	65	87.7%	0.14
70	D.Chen	🇯🇵 JAPAN	80	87.5%	0.12
71	K.Furuta	🇯🇵 JAPAN	80	87.5%	0.12
72	Z.Fu	🇨🇳 CHINA SMEG	88	87.5%	0.15
73	J.Zhao	🇨🇳 CHINA SMEG	88	87.5%	0.15
74	R.Freeman	🇺🇸 USA 2	79	87.3%	0.14
75	N.Nickell	🇺🇸 USA 2	79	87.3%	0.14
76	P.Lambardi	🇦🇷 ARGENTINA	110	87.3%	0.14
77	J.Ahmed	🇵🇰 PAKISTAN	70	87.1%	0.13
78	T.Masood	🇵🇰 PAKISTAN	70	87.1%	0.13
79	Z.Mahmood	🇺🇸 USA 1	77	87.0%	0.13
80	M.Rosenberg	🇺🇸 USA 1	77	87.0%	0.13
81	N.Fitzgibbon	🇮🇪 IRELAND	75	86.7%	0.15
82	A.Mesbur	🇮🇪 IRELAND	75	86.7%	0.15
83	T.Bakkeren	🇳🇱 NETHERLANDS	75	86.7%	0.16
84	H.Bertens	🇳🇱 NETHERLANDS	75	86.7%	0.16
85	C.Wu	🇹🇼 CHINESE TAIPEI	74	86.5%	0.14
86	G.Groetheim	🇳🇴 NORWAY	59	86.4%	0.14
87	U.Tundal	🇳🇴 NORWAY	59	86.4%	0.14
88	A.Apteker	🇿🇦 SOUTH AFRICA	54	85.2%	0.15
89	C.Gower	🇿🇦 SOUTH AFRICA	54	85.2%	0.15
90	A.Grant	🇳🇿 NEW ZEALAND	86	84.9%	0.15
91	A.Ker	🇳🇿 NEW ZEALAND	86	84.9%	0.15
92	B.Gierulski	🇵🇱 POLAND	66	84.8%	0.18
93	J.Skrzypczak	🇵🇱 POLAND	66	84.8%	0.18
94	A.Allana	🇵🇰 PAKISTAN	78	84.6%	0.20
95	J.Fazli	🇵🇰 PAKISTAN	78	84.6%	0.20
96	T.Asbi	🇮🇩 INDONESIA	116	84.5%	0.16
97	R.Parasian Tobing	🇮🇩 INDONESIA	116	84.5%	0.16
98	M.Takayama	🇯🇵 JAPAN	71	84.5%	0.17
99	T.Teramoto	🇯🇵 JAPAN	71	84.5%	0.17
100	R.Vieira	🇹🇹 TRINIDAD & TOBAGO	58	84.5%	0.21
101	M.Green	🇦🇺 AUSTRALIA	84	84.5%	0.24
102	A.Peake	🇦🇺 AUSTRALIA	84	84.5%	0.24
103	H.Yang	🇹🇼 CHINESE TAIPEI	64	84.4%	0.17
104	M.Seepersad	🇹🇹 TRINIDAD & TOBAGO	69	84.1%	0.17
105	G.Chagas	🇧🇷 BRAZIL	113	84.1%	0.19
106	M.Villas-Boas	🇧🇷 BRAZIL	113	84.1%	0.19
107	D.Clarke	🇹🇹 TRINIDAD & TOBAGO	100	84.0%	0.19
108	T.Imakura	🇯🇵 JAPAN	77	83.1%	0.20
109	M.Ino	🇯🇵 JAPAN	77	83.1%	0.20
110	C.Shen	🇹🇼 CHINESE TAIPEI	89	83.1%	0.20
111	B.Persad	🇹🇹 TRINIDAD & TOBAGO	45	82.2%	0.18
112	J.Smith	🇨🇦 CANADA	61	82.0%	0.23
113	J.Zaluski	🇨🇦 CANADA	61	82.0%	0.23
114	T.Hart	🇹🇹 TRINIDAD & TOBAGO	96	81.2%	0.21
115	R.Mapp	🇹🇹 TRINIDAD & TOBAGO	92	80.4%	0.23
116	M.Heshmat	🇪🇬 EGYPT	64	79.7%	0.22
117	T.Nadim	🇪🇬 EGYPT	64	79.7%	0.22
118	D.Ackerley	🇳🇿 NEW ZEALAND	64	79.7%	0.23
119	S.Smith	🇳🇿 NEW ZEALAND	64	79.7%	0.23
120	J.Miller	🇳🇿 NEW ZEALAND	77	79.2%	0.23
121	G.Stout	🇳🇿 NEW ZEALAND	77	79.2%	0.23
122	P.Gumby	🇦🇺 AUSTRALIA	84	78.6%	0.26
123	W.Lazer	🇦🇺 AUSTRALIA	84	78.6%	0.26
124	T.Hanlon	🇮🇪 IRELAND	76	76.3%	0.30
125	H.Mcgann	🇮🇪 IRELAND	76	76.3%	0.30
126	A.Gonzales Noguera	🇦🇷 ARGENTINA	8	100.0%	0.00
127	P.Brum	🇧🇷 BRAZIL	40	92.5%	0.10
128	M.Toma	🇧🇷 BRAZIL	40	92.5%	0.10
129	G.Jacobs	🇺🇸 USA 1	46	84.8%	0.15
130	R.Katz	🇺🇸 USA 1	46	84.8%	0.15
131	H.Uman	🇦🇷 ARGENTINA	20	80.0%	0.20
132	C.Yeh	🇹🇼 CHINESE TAIPEI	45	73.3%	0.31

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	F.Fantoni	🇮🇹 ITALY	224	-0.12	+0.83	+0.71	·
2	C.Nunes	🇮🇹 ITALY	224	-0.12	+0.83	+0.71	·
3	S.Garner	🇺🇸 USA 1	272	+0.05	+0.55	+0.60	·
4	H.Weinstein	🇺🇸 USA 1	272	+0.05	+0.55	+0.60	·
5	R.Jedrychowski	🇦🇺 AUSTRALIA	224	+0.14	+0.32	+0.47	▲12
6	B.Neill	🇦🇺 AUSTRALIA	224	+0.14	+0.32	+0.47	▲12
7	J.Meckstroth	🇺🇸 USA 2	288	-0.04	+0.47	+0.44	▼2
8	E.Rodwell	🇺🇸 USA 2	288	-0.04	+0.47	+0.44	▼2
9	S.Brink	🇳🇱 NETHERLANDS	256	-0.00	+0.40	+0.40	▼2
10	B.Drijver	🇳🇱 NETHERLANDS	256	-0.00	+0.40	+0.40	▼2
11	P.Gumby	🇦🇺 AUSTRALIA	224	+0.01	+0.35	+0.35	▲2
12	W.Lazer	🇦🇺 AUSTRALIA	224	+0.01	+0.35	+0.35	▲2
13	G.Helgemo	🇳🇴 NORWAY	240	-0.04	+0.37	+0.34	▼2
14	T.Helness	🇳🇴 NORWAY	240	-0.04	+0.37	+0.34	▼2
15	G.Chagas	🇧🇷 BRAZIL	336	-0.04	+0.37	+0.33	▼6
16	M.Villas-Boas	🇧🇷 BRAZIL	336	-0.04	+0.37	+0.33	▼6
17	T.Cope	🇿🇦 SOUTH AFRICA	240	+0.04	+0.29	+0.32	▲8
18	G.Holman	🇿🇦 SOUTH AFRICA	240	+0.04	+0.29	+0.32	▲8
19	Z.Fu	🇨🇳 CHINA SMEG	224	-0.01	+0.31	+0.31	▲2
20	J.Zhao	🇨🇳 CHINA SMEG	224	-0.01	+0.31	+0.31	▲2
21	H.Yang	🇹🇼 CHINESE TAIPEI	176	+0.11	+0.19	+0.29	▲14
22	C.Bosenberg	🇿🇦 SOUTH AFRICA	240	-0.06	+0.34	+0.28	▼7
23	N.Eber	🇿🇦 SOUTH AFRICA	240	-0.06	+0.34	+0.28	▼7
24	B.Efraimsson	🇸🇪 SWEDEN	208	+0.06	+0.20	+0.26	▲7
25	A.Morath	🇸🇪 SWEDEN	208	+0.06	+0.20	+0.26	▲7
26	T.Asbi	🇮🇩 INDONESIA	288	+0.04	+0.19	+0.24	▲7
27	R.Parasian Tobing	🇮🇩 INDONESIA	288	+0.04	+0.19	+0.24	▲7
28	L.Lauria	🇮🇹 ITALY	224	+0.02	+0.20	+0.22	▲1
29	A.Versace	🇮🇹 ITALY	224	+0.02	+0.20	+0.22	▲1
30	T.Bakkeren	🇳🇱 NETHERLANDS	208	-0.05	+0.26	+0.21	▼3
31	H.Bertens	🇳🇱 NETHERLANDS	208	-0.05	+0.26	+0.21	▼3
32	P.Cullin	🇸🇪 SWEDEN	208	-0.12	+0.31	+0.19	▼9
33	J.Upmark	🇸🇪 SWEDEN	208	-0.12	+0.31	+0.19	▼9
34	B.Gierulski	🇵🇱 POLAND	208	-0.14	+0.32	+0.18	▼15
35	J.Skrzypczak	🇵🇱 POLAND	208	-0.14	+0.32	+0.18	▼15
36	H.Shi	🇨🇳 CHINA SMEG	240	+0.01	+0.14	+0.15	▲8
37	Z.Zhuang	🇨🇳 CHINA SMEG	240	+0.01	+0.14	+0.15	▲8
38	N.Bocchi	🇮🇹 ITALY	224	-0.02	+0.17	+0.15	·
39	G.Duboin	🇮🇹 ITALY	224	-0.02	+0.17	+0.15	·
40	R.Freeman	🇺🇸 USA 2	208	-0.04	+0.17	+0.13	▼4
41	N.Nickell	🇺🇸 USA 2	208	-0.04	+0.17	+0.13	▼4
42	G.Groetheim	🇳🇴 NORWAY	224	-0.07	+0.15	+0.09	▼2
43	U.Tundal	🇳🇴 NORWAY	224	-0.07	+0.15	+0.09	▼2
44	T.Imakura	🇯🇵 JAPAN	240	-0.06	+0.14	+0.09	▼2
45	M.Ino	🇯🇵 JAPAN	240	-0.06	+0.14	+0.09	▼2
46	P.Jassem	🇵🇱 POLAND	224	+0.14	-0.06	+0.09	▲29
47	K.Martens	🇵🇱 POLAND	224	+0.14	-0.06	+0.09	▲29
48	J.Bojoh	🇮🇩 INDONESIA	192	+0.15	-0.07	+0.08	▲33
49	C.Pellegrini	🇦🇷 ARGENTINA	336	-0.02	+0.10	+0.08	·
50	P.Ravenna	🇦🇷 ARGENTINA	336	-0.02	+0.10	+0.08	·
51	R.Amiry	🇪🇬 EGYPT	192	+0.18	-0.10	+0.08	▲35
52	A.Samir	🇪🇬 EGYPT	192	+0.18	-0.10	+0.08	▲35
53	J.Shih	🇹🇼 CHINESE TAIPEI	272	-0.05	+0.12	+0.07	▼7
54	Z.Mahmood	🇺🇸 USA 1	272	-0.01	+0.05	+0.04	▼3
55	M.Rosenberg	🇺🇸 USA 1	272	-0.01	+0.05	+0.04	▼3
56	J.Ahmed	🇵🇰 PAKISTAN	208	-0.07	+0.11	+0.03	▼9
57	T.Masood	🇵🇰 PAKISTAN	208	-0.07	+0.11	+0.03	▼9
58	B.Brogeland	🇳🇴 NORWAY	208	-0.00	+0.03	+0.03	▼5
59	E.Saelensminde	🇳🇴 NORWAY	208	-0.00	+0.03	+0.03	▼5
60	P.Bertheau	🇸🇪 SWEDEN	256	+0.08	-0.06	+0.02	▲19
61	F.Nystrom	🇸🇪 SWEDEN	256	+0.08	-0.06	+0.02	▲19
62	S.De Wijs	🇳🇱 NETHERLANDS	208	+0.01	+0.00	+0.02	·
63	B.Muller	🇳🇱 NETHERLANDS	208	+0.01	+0.00	+0.02	·
64	D.Chen	🇯🇵 JAPAN	240	+0.01	+0.00	+0.01	▼4
65	K.Furuta	🇯🇵 JAPAN	240	+0.01	+0.00	+0.01	▼4
66	J.George	🇮🇩 INDONESIA	208	+0.16	-0.18	-0.02	▲31
67	J.Carroll	🇮🇪 IRELAND	208	-0.01	-0.02	-0.04	▼3
68	T.Garvey	🇮🇪 IRELAND	208	-0.01	-0.02	-0.04	▼3
69	C.Chen	🇹🇼 CHINESE TAIPEI	288	-0.00	-0.04	-0.04	▼1
70	A.Goel	🇮🇳 INDIA	224	-0.02	-0.02	-0.05	▼4
71	K.Mukherjee	🇮🇳 INDIA	224	-0.02	-0.02	-0.05	▼4
72	W.El Ahmady	🇪🇬 EGYPT	288	-0.01	-0.05	-0.07	▼1
73	T.Sadek	🇪🇬 EGYPT	288	-0.01	-0.05	-0.07	▼1
74	M.Heshmat	🇪🇬 EGYPT	192	-0.09	+0.03	-0.07	▼19
75	T.Nadim	🇪🇬 EGYPT	192	-0.09	+0.03	-0.07	▼19
76	R.Jafer	🇵🇰 PAKISTAN	224	-0.02	-0.05	-0.07	▼3
77	S.Khan	🇵🇰 PAKISTAN	224	-0.02	-0.05	-0.07	▼3
78	N.Fitzgibbon	🇮🇪 IRELAND	224	-0.08	+0.01	-0.07	▼20
79	A.Mesbur	🇮🇪 IRELAND	224	-0.08	+0.01	-0.07	▼20
80	M.Takayama	🇯🇵 JAPAN	192	-0.03	-0.05	-0.07	▼11
81	T.Teramoto	🇯🇵 JAPAN	192	-0.03	-0.05	-0.07	▼11
82	B.Chmurski	🇵🇱 POLAND	240	+0.07	-0.14	-0.07	▲10
83	P.Gawrys	🇵🇱 POLAND	240	+0.07	-0.14	-0.07	▲10
84	A.Sadhu	🇮🇳 INDIA	224	+0.04	-0.13	-0.08	▲5
85	M.Green	🇦🇺 AUSTRALIA	224	-0.04	-0.07	-0.11	▼3
86	A.Peake	🇦🇺 AUSTRALIA	224	-0.04	-0.07	-0.11	▼3
87	L.Palazzo	🇦🇷 ARGENTINA	256	+0.08	-0.21	-0.12	▲13
88	J.Smith	🇨🇦 CANADA	224	-0.07	-0.06	-0.13	▼11
89	J.Zaluski	🇨🇦 CANADA	224	-0.07	-0.06	-0.13	▼11
90	C.Wu	🇹🇼 CHINESE TAIPEI	256	-0.00	-0.16	-0.16	▲4
91	D.Brenner	🇧🇷 BRAZIL	224	+0.04	-0.20	-0.16	▲7
92	M.Figueiredo	🇧🇷 BRAZIL	224	+0.04	-0.20	-0.16	▲7
93	D.Ackerley	🇳🇿 NEW ZEALAND	240	-0.02	-0.16	-0.18	▲2
94	S.Smith	🇳🇿 NEW ZEALAND	240	-0.02	-0.16	-0.18	▲2
95	K.Roy	🇮🇳 INDIA	240	+0.06	-0.24	-0.18	▲6
96	A.Apteker	🇿🇦 SOUTH AFRICA	192	-0.06	-0.13	-0.19	▼6
97	C.Gower	🇿🇦 SOUTH AFRICA	192	-0.06	-0.13	-0.19	▼6
98	K.Ong	🇮🇩 INDONESIA	176	-0.22	+0.03	-0.19	▼41
99	S.Sun	🇨🇳 CHINA SMEG	208	-0.13	-0.08	-0.20	▼15
100	X.Wang	🇨🇳 CHINA SMEG	208	-0.13	-0.08	-0.20	▼15
101	T.Hanlon	🇮🇪 IRELAND	240	+0.08	-0.33	-0.25	▲2
102	H.Mcgann	🇮🇪 IRELAND	240	+0.08	-0.33	-0.25	▲2
103	P.Lambardi	🇦🇷 ARGENTINA	336	-0.01	-0.27	-0.27	▼1
104	G.Watulingas	🇮🇩 INDONESIA	192	-0.18	-0.10	-0.28	▼16
105	D.Roy	🇮🇳 INDIA	208	+0.05	-0.34	-0.29	▲1
106	W.Frukacz	🇨🇦 CANADA	240	+0.14	-0.47	-0.33	▲6
107	P.Klimowicz	🇨🇦 CANADA	240	+0.14	-0.47	-0.33	▲6
108	J.Miller	🇳🇿 NEW ZEALAND	224	+0.07	-0.41	-0.34	▼1
109	G.Stout	🇳🇿 NEW ZEALAND	224	+0.07	-0.41	-0.34	▼1
110	P.Kushari	🇮🇳 INDIA	224	+0.06	-0.45	-0.38	▼1
111	C.Shen	🇹🇼 CHINESE TAIPEI	240	-0.04	-0.34	-0.38	▼6
112	B.Hamman	🇺🇸 USA 2	176	+0.07	-0.46	-0.39	▼2
113	H.Lall	🇺🇸 USA 2	176	+0.07	-0.46	-0.39	▼2
114	R.Mapp	🇹🇹 TRINIDAD & TOBAGO	288	+0.14	-0.54	-0.40	▲3
115	M.Seepersad	🇹🇹 TRINIDAD & TOBAGO	224	+0.11	-0.55	-0.43	▲3
116	A.Allana	🇵🇰 PAKISTAN	240	+0.05	-0.50	-0.45	▼1
117	J.Fazli	🇵🇰 PAKISTAN	240	+0.05	-0.50	-0.45	▼1
118	T.Hart	🇹🇹 TRINIDAD & TOBAGO	256	+0.02	-0.49	-0.48	▼4
119	A.Grant	🇳🇿 NEW ZEALAND	208	+0.06	-0.56	-0.50	·
120	A.Ker	🇳🇿 NEW ZEALAND	208	+0.06	-0.56	-0.50	·
121	D.Clarke	🇹🇹 TRINIDAD & TOBAGO	256	+0.06	-0.62	-0.56	▲2
122	K.Fergani	🇨🇦 CANADA	208	-0.03	-0.60	-0.63	▼1
123	N.L'Ecuyer	🇨🇦 CANADA	208	-0.03	-0.60	-0.63	▼1
124	R.Vieira	🇹🇹 TRINIDAD & TOBAGO	176	+0.15	-0.99	-0.84	·
125	B.Persad	🇹🇹 TRINIDAD & TOBAGO	144	+0.07	-1.05	-0.98	·

Stages

Statistics