Estoril 2005 — 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	E.Greco	🇺🇸 USA 2	340	+0.87	+296.0
2	G.Hampson	🇺🇸 USA 2	340	+0.87	+296.0
3	W.El Ahmady	🇪🇬 EGYPT	400	+0.72	+288.0
4	T.Sadek	🇪🇬 EGYPT	420	+0.59	+249.0
5	P.Newell	🇳🇿 NEW ZEALAND	320	+0.55	+176.0
6	M.Reid	🇳🇿 NEW ZEALAND	320	+0.55	+176.0
7	P.Lambardi	🇦🇷 ARGENTINA	280	+0.54	+151.0
8	A.Madala	🇦🇷 ARGENTINA	280	+0.54	+151.0
9	W.Chu	🇿🇦 SOUTH AFRICA	300	+0.52	+156.0
10	C.Gower	🇿🇦 SOUTH AFRICA	300	+0.52	+156.0
11	N.Bocchi	🇮🇹 ITALY	300	+0.50	+151.0
12	G.Duboin	🇮🇹 ITALY	300	+0.50	+151.0
13	J.Castanheira	🇵🇹 PORTUGAL	280	+0.41	+116.0
14	S.Costa Pessoa	🇵🇹 PORTUGAL	280	+0.41	+116.0
15	J.Dai	🇨🇳 CHINA	260	+0.41	+107.0
16	L.Yang	🇨🇳 CHINA	260	+0.41	+107.0
17	M.Castello Branco	🇧🇷 BRAZIL	220	+0.41	+90.0
18	P.Castello Branco	🇧🇷 BRAZIL	220	+0.41	+90.0
19	C.Shen	🇹🇼 CHINESE TAIPEI	280	+0.41	+114.0
20	J.Meckstroth	🇺🇸 USA 1	360	+0.39	+141.0
21	E.Rodwell	🇺🇸 USA 1	360	+0.39	+141.0
22	P.Fredin	🇸🇪 SWEDEN	300	+0.37	+110.0
23	M.Lindkvist	🇸🇪 SWEDEN	300	+0.37	+110.0
24	G.Chagas	🇧🇷 BRAZIL	360	+0.36	+131.0
25	M.Villas-Boas	🇧🇷 BRAZIL	360	+0.36	+131.0
26	T.Cope	🇿🇦 SOUTH AFRICA	280	+0.35	+98.0
27	G.Holman	🇿🇦 SOUTH AFRICA	280	+0.35	+98.0
28	T.Bakkeren	🇳🇱 NETHERLANDS	300	+0.33	+100.0
29	H.Bertens	🇳🇱 NETHERLANDS	300	+0.33	+100.0
30	Y.Nakamura	🇯🇵 JAPAN	280	+0.32	+90.0
31	Y.Shimizu	🇯🇵 JAPAN	280	+0.32	+90.0
32	D.Price	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	240	+0.32	+76.0
33	C.Simpson	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	240	+0.32	+76.0
34	L.Lauria	🇮🇹 ITALY	280	+0.29	+80.0
35	A.Versace	🇮🇹 ITALY	280	+0.29	+80.0
36	K.Nadar	🇮🇳 INDIA	260	+0.22	+58.0
37	B.Satyanarayana	🇮🇳 INDIA	260	+0.22	+58.0
38	P.Bertheau	🇸🇪 SWEDEN	280	+0.21	+59.0
39	F.Nystrom	🇸🇪 SWEDEN	280	+0.21	+59.0
40	T.Jacob	🇳🇿 NEW ZEALAND	340	+0.19	+64.0
41	M.Mayer	🇳🇿 NEW ZEALAND	340	+0.19	+64.0
42	S.Hans	🇦🇺 AUSTRALIA	320	+0.18	+57.0
43	T.Nunn	🇦🇺 AUSTRALIA	320	+0.18	+57.0
44	P.Goncalves Pereira	🇵🇹 PORTUGAL	280	+0.17	+48.0
45	R.Santos	🇵🇹 PORTUGAL	280	+0.17	+48.0
46	S.Gupta	🇮🇳 INDIA	300	+0.17	+50.0
47	R.Tewari	🇮🇳 INDIA	300	+0.17	+50.0
48	J.Carruthers	🇨🇦 CANADA	320	+0.14	+46.0
49	J.Silver	🇨🇦 CANADA	320	+0.14	+46.0
50	J.Shih	🇹🇼 CHINESE TAIPEI	400	+0.14	+55.0
51	K.Jassem	🇵🇱 POLAND	300	+0.13	+40.0
52	K.Martens	🇵🇱 POLAND	300	+0.13	+40.0
53	B.Hamman	🇺🇸 USA 1	280	+0.12	+35.0
54	P.Soloway	🇺🇸 USA 1	280	+0.12	+35.0
55	Z.Fu	🇨🇳 CHINA	300	+0.12	+35.0
56	J.Zhao	🇨🇳 CHINA	300	+0.12	+35.0
57	S.Chokshi	🇮🇳 INDIA	280	+0.11	+30.0
58	K.Venkataraman	🇮🇳 INDIA	280	+0.11	+30.0
59	P.Marston	🇦🇺 AUSTRALIA	300	+0.10	+31.0
60	M.Thomson	🇦🇺 AUSTRALIA	300	+0.10	+31.0
61	W.Fornasari	🇦🇷 ARGENTINA	300	+0.10	+29.0
62	L.Palazzo	🇦🇷 ARGENTINA	300	+0.10	+29.0
63	S.De Wijs	🇳🇱 NETHERLANDS	300	+0.09	+27.0
64	B.Muller	🇳🇱 NETHERLANDS	300	+0.09	+27.0
65	A.Khokhlov	🇷🇺 RUSSIA	280	+0.05	+13.0
66	M.Khven	🇷🇺 RUSSIA	280	+0.05	+13.0
67	J.Hackett	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	340	+0.03	+11.0
68	J.Hackett	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	340	+0.03	+11.0
69	P.Sundelin	🇸🇪 SWEDEN	260	+0.02	+4.0
70	J.Sylvan	🇸🇪 SWEDEN	260	+0.02	+4.0
71	V.Kholomeev	🇷🇺 RUSSIA	280	+0.01	+2.0
72	D.Zlotov	🇷🇺 RUSSIA	280	+0.01	+2.0
73	A.Hobart	🇨🇦 CANADA	280	-0.01	-2.0
74	G.Mittelman	🇨🇦 CANADA	280	-0.01	-2.0
75	F.Fantoni	🇮🇹 ITALY	260	-0.01	-3.0
76	C.Nunes	🇮🇹 ITALY	260	-0.01	-3.0
77	M.Krupowicz	🇵🇱 POLAND	300	-0.08	-23.0
78	P.Lutostanski	🇵🇱 POLAND	300	-0.08	-23.0
79	D.Chen	🇯🇵 JAPAN	280	-0.09	-26.0
80	K.Furuta	🇯🇵 JAPAN	280	-0.09	-26.0
81	P.Huang	🇹🇼 CHINESE TAIPEI	320	-0.13	-43.0
82	J.Jansma	🇳🇱 NETHERLANDS	240	-0.15	-35.0
83	J.Verhees	🇳🇱 NETHERLANDS	240	-0.15	-35.0
84	A.Dubinin	🇷🇺 RUSSIA	280	-0.16	-45.0
85	A.Gromov	🇷🇺 RUSSIA	280	-0.16	-45.0
86	D.Gold	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	260	-0.17	-45.0
87	T.Townsend	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	260	-0.17	-45.0
88	D.Horton	🇦🇺 AUSTRALIA	220	-0.19	-42.0
89	P.Markey	🇦🇺 AUSTRALIA	220	-0.19	-42.0
90	D.Gerin	🇬🇵 GUADELOUPE	280	-0.19	-54.0
91	P.Mathieu	🇬🇵 GUADELOUPE	280	-0.19	-54.0
92	H.Shi	🇨🇳 CHINA	280	-0.23	-63.0
93	Z.Zhuang	🇨🇳 CHINA	280	-0.23	-63.0
94	B.Baran	🇨🇦 CANADA	240	-0.23	-54.0
95	A.Graves	🇨🇦 CANADA	240	-0.23	-54.0
96	F.Gitelman	🇺🇸 USA 2	340	-0.24	-81.0
97	B.Moss	🇺🇸 USA 2	340	-0.24	-81.0
98	R.Janz	🇧🇷 BRAZIL	260	-0.30	-77.0
99	R.Mello	🇧🇷 BRAZIL	260	-0.30	-77.0
100	K.Miyakuni	🇯🇵 JAPAN	280	-0.31	-87.0
101	T.Teramoto	🇯🇵 JAPAN	280	-0.31	-87.0
102	H.Dagher	🇪🇬 EGYPT	280	-0.32	-90.0
103	A.El-Kourdy	🇪🇬 EGYPT	280	-0.32	-90.0
104	M.Monsegur	🇦🇷 ARGENTINA	260	-0.32	-84.0
105	G.Mooney	🇦🇷 ARGENTINA	260	-0.32	-84.0
106	R.Freeman	🇺🇸 USA 1	200	-0.38	-76.0
107	N.Nickell	🇺🇸 USA 1	200	-0.38	-76.0
108	C.Luis	🇵🇹 PORTUGAL	280	-0.43	-120.0
109	N.Paz	🇵🇹 PORTUGAL	280	-0.43	-120.0
110	A.Kempczynski	🇬🇵 GUADELOUPE	280	-0.49	-136.0
111	J.Penture	🇬🇵 GUADELOUPE	280	-0.49	-136.0
112	C.Castelein	🇿🇦 SOUTH AFRICA	260	-0.51	-132.0
113	A.Hughes	🇿🇦 SOUTH AFRICA	260	-0.51	-132.0
114	W.Chiu	🇹🇼 CHINESE TAIPEI	280	-0.72	-203.0
115	S.Barakat	🇯🇴 JORDAN	420	-0.85	-355.0
116	M.Ghanem	🇯🇴 JORDAN	420	-0.85	-355.0
117	R.Jagniewski	🇵🇱 POLAND	240	-0.87	-208.0
118	B.Pazur	🇵🇱 POLAND	240	-0.87	-208.0
119	P.Joatton	🇬🇵 GUADELOUPE	280	-0.87	-244.0
120	R.Rizk	🇬🇵 GUADELOUPE	280	-0.87	-244.0
121	G.Ghanem	🇯🇴 JORDAN	420	-0.88	-371.0
122	N.Hattar-Ghanem	🇯🇴 JORDAN	420	-0.88	-371.0
123	H.Yang	🇹🇼 CHINESE TAIPEI	260	-1.12	-290.0
124	M.Cornell	🇳🇿 NEW ZEALAND	180	-1.20	-216.0
125	D.Crombie	🇳🇿 NEW ZEALAND	180	-1.20	-216.0
126	C.Yeh	🇹🇼 CHINESE TAIPEI	140	+0.15	+21.0
127	T.Nadim	🇪🇬 EGYPT	140	-0.25	-35.0
128	M.Heshmat	🇪🇬 EGYPT	160	-0.46	-74.0
129	R.Ekeblad	🇺🇸 USA 2	160	-0.50	-80.0
130	R.Rubin	🇺🇸 USA 2	160	-0.50	-80.0

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	F.Fantoni	🇮🇹 ITALY	42	92.9%	0.07
2	T.Teramoto	🇯🇵 JAPAN	39	92.3%	0.08
3	K.Martens	🇵🇱 POLAND	52	90.4%	0.10
4	R.Santos	🇵🇹 PORTUGAL	49	89.8%	0.10
5	P.Joatton	🇬🇵 GUADELOUPE	49	89.8%	0.10
6	D.Gold	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	58	89.7%	0.12
7	Z.Zhuang	🇨🇳 CHINA	48	89.6%	0.10
8	Z.Fu	🇨🇳 CHINA	57	89.5%	0.10
9	A.Kempczynski	🇬🇵 GUADELOUPE	47	89.4%	0.13
10	T.Jacob	🇳🇿 NEW ZEALAND	56	89.3%	0.11
11	J.Sylvan	🇸🇪 SWEDEN	37	89.2%	0.11
12	S.De Wijs	🇳🇱 NETHERLANDS	55	89.1%	0.11
13	Y.Nakamura	🇯🇵 JAPAN	55	89.1%	0.13
14	J.Jansma	🇳🇱 NETHERLANDS	35	88.6%	0.11
15	H.Dagher	🇪🇬 EGYPT	44	88.6%	0.16
16	S.Gupta	🇮🇳 INDIA	49	87.8%	0.12
17	M.Castello Branco	🇧🇷 BRAZIL	41	87.8%	0.15
18	N.Bocchi	🇮🇹 ITALY	57	87.7%	0.12
19	M.Khven	🇷🇺 RUSSIA	48	87.5%	0.15
20	P.Markey	🇦🇺 AUSTRALIA	40	87.5%	0.15
21	T.Bakkeren	🇳🇱 NETHERLANDS	46	87.0%	0.13
22	M.Lindkvist	🇸🇪 SWEDEN	54	87.0%	0.18
23	M.Ghanem	🇯🇴 JORDAN	61	86.9%	0.13
24	T.Sadek	🇪🇬 EGYPT	76	86.8%	0.13
25	P.Marston	🇦🇺 AUSTRALIA	52	86.5%	0.14
26	G.Mooney	🇦🇷 ARGENTINA	22	86.4%	0.14
27	T.Townsend	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	44	86.4%	0.14
28	W.Chiu	🇹🇼 CHINESE TAIPEI	36	86.1%	0.14
29	K.Jassem	🇵🇱 POLAND	49	85.7%	0.14
30	M.Villas-Boas	🇧🇷 BRAZIL	55	85.5%	0.14
31	J.Zhao	🇨🇳 CHINA	55	85.5%	0.14
32	T.Cope	🇿🇦 SOUTH AFRICA	47	85.1%	0.15
33	M.Thomson	🇦🇺 AUSTRALIA	67	85.1%	0.16
34	K.Nadar	🇮🇳 INDIA	47	85.1%	0.21
35	B.Hamman	🇺🇸 USA 1	40	85.0%	0.15
36	P.Lambardi	🇦🇷 ARGENTINA	40	85.0%	0.17
37	M.Cornell	🇳🇿 NEW ZEALAND	33	84.8%	0.15
38	A.Madala	🇦🇷 ARGENTINA	59	84.7%	0.15
39	E.Rodwell	🇺🇸 USA 1	59	84.7%	0.17
40	D.Gerin	🇬🇵 GUADELOUPE	39	84.6%	0.15
41	C.Simpson	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	52	84.6%	0.23
42	A.Dubinin	🇷🇺 RUSSIA	58	84.5%	0.17
43	G.Duboin	🇮🇹 ITALY	45	84.4%	0.16
44	B.Satyanarayana	🇮🇳 INDIA	51	84.3%	0.16
45	G.Ghanem	🇯🇴 JORDAN	57	84.2%	0.19
46	P.Goncalves Pereira	🇵🇹 PORTUGAL	44	84.1%	0.18
47	R.Tewari	🇮🇳 INDIA	50	84.0%	0.16
48	P.Huang	🇹🇼 CHINESE TAIPEI	62	83.9%	0.21
49	W.Chu	🇿🇦 SOUTH AFRICA	55	83.6%	0.16
50	J.Hackett	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	55	83.6%	0.24
51	S.Costa Pessoa	🇵🇹 PORTUGAL	42	83.3%	0.17
52	A.El-Kourdy	🇪🇬 EGYPT	48	83.3%	0.19
53	W.El Ahmady	🇪🇬 EGYPT	72	83.3%	0.19
54	M.Krupowicz	🇵🇱 POLAND	53	83.0%	0.19
55	R.Freeman	🇺🇸 USA 1	35	82.9%	0.17
56	L.Yang	🇨🇳 CHINA	52	82.7%	0.17
57	J.Carruthers	🇨🇦 CANADA	46	82.6%	0.24
58	R.Mello	🇧🇷 BRAZIL	40	82.5%	0.17
59	D.Chen	🇯🇵 JAPAN	51	82.4%	0.18
60	G.Holman	🇿🇦 SOUTH AFRICA	34	82.4%	0.23
61	G.Chagas	🇧🇷 BRAZIL	62	82.3%	0.19
62	P.Mathieu	🇬🇵 GUADELOUPE	50	82.0%	0.18
63	A.Hughes	🇿🇦 SOUTH AFRICA	44	81.8%	0.18
64	P.Fredin	🇸🇪 SWEDEN	55	81.8%	0.20
65	L.Lauria	🇮🇹 ITALY	44	81.8%	0.20
66	L.Palazzo	🇦🇷 ARGENTINA	38	81.6%	0.18
67	D.Horton	🇦🇺 AUSTRALIA	49	81.6%	0.20
68	B.Pazur	🇵🇱 POLAND	38	81.6%	0.21
69	C.Nunes	🇮🇹 ITALY	49	81.6%	0.22
70	M.Reid	🇳🇿 NEW ZEALAND	54	81.5%	0.18
71	Y.Shimizu	🇯🇵 JAPAN	43	81.4%	0.19
72	A.Hobart	🇨🇦 CANADA	43	81.4%	0.23
73	S.Barakat	🇯🇴 JORDAN	75	81.3%	0.19
74	J.Verhees	🇳🇱 NETHERLANDS	48	81.2%	0.21
75	J.Hackett	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	48	81.2%	0.21
76	J.Penture	🇬🇵 GUADELOUPE	63	81.0%	0.21
77	J.Silver	🇨🇦 CANADA	58	81.0%	0.21
78	C.Gower	🇿🇦 SOUTH AFRICA	57	80.7%	0.21
79	P.Lutostanski	🇵🇱 POLAND	57	80.7%	0.21
80	N.Hattar-Ghanem	🇯🇴 JORDAN	67	80.6%	0.22
81	B.Muller	🇳🇱 NETHERLANDS	41	80.5%	0.20
82	N.Paz	🇵🇹 PORTUGAL	46	80.4%	0.22
83	H.Bertens	🇳🇱 NETHERLANDS	61	80.3%	0.21
84	C.Shen	🇹🇼 CHINESE TAIPEI	71	80.3%	0.23
85	P.Castello Branco	🇧🇷 BRAZIL	45	80.0%	0.20
86	P.Soloway	🇺🇸 USA 1	50	80.0%	0.20
87	B.Moss	🇺🇸 USA 2	70	80.0%	0.21
88	K.Furuta	🇯🇵 JAPAN	60	80.0%	0.22
89	J.Castanheira	🇵🇹 PORTUGAL	49	79.6%	0.20
90	K.Venkataraman	🇮🇳 INDIA	54	79.6%	0.22
91	F.Nystrom	🇸🇪 SWEDEN	44	79.5%	0.20
92	D.Zlotov	🇷🇺 RUSSIA	48	79.2%	0.23
93	C.Castelein	🇿🇦 SOUTH AFRICA	48	79.2%	0.23
94	N.Nickell	🇺🇸 USA 1	43	79.1%	0.21
95	F.Gitelman	🇺🇸 USA 2	43	79.1%	0.23
96	P.Newell	🇳🇿 NEW ZEALAND	57	78.9%	0.32
97	B.Baran	🇨🇦 CANADA	66	78.8%	0.23
98	M.Mayer	🇳🇿 NEW ZEALAND	56	78.6%	0.21
99	J.Shih	🇹🇼 CHINESE TAIPEI	42	78.6%	0.21
100	E.Greco	🇺🇸 USA 2	51	78.4%	0.23
101	A.Versace	🇮🇹 ITALY	46	78.3%	0.22
102	V.Kholomeev	🇷🇺 RUSSIA	54	77.8%	0.22
103	J.Dai	🇨🇳 CHINA	49	77.6%	0.22
104	J.Meckstroth	🇺🇸 USA 1	53	77.4%	0.26
105	R.Janz	🇧🇷 BRAZIL	44	77.3%	0.25
106	C.Luis	🇵🇹 PORTUGAL	39	76.9%	0.23
107	G.Mittelman	🇨🇦 CANADA	47	76.6%	0.26
108	D.Price	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	38	76.3%	0.32
109	H.Shi	🇨🇳 CHINA	46	76.1%	0.26
110	W.Fornasari	🇦🇷 ARGENTINA	50	76.0%	0.26
111	A.Khokhlov	🇷🇺 RUSSIA	41	75.6%	0.24
112	P.Sundelin	🇸🇪 SWEDEN	53	75.5%	0.28
113	R.Rizk	🇬🇵 GUADELOUPE	32	75.0%	0.25
114	A.Gromov	🇷🇺 RUSSIA	52	75.0%	0.31
115	H.Yang	🇹🇼 CHINESE TAIPEI	47	74.5%	0.26
116	T.Nunn	🇦🇺 AUSTRALIA	39	74.4%	0.31
117	S.Hans	🇦🇺 AUSTRALIA	61	73.8%	0.29
118	G.Hampson	🇺🇸 USA 2	57	73.7%	0.26
119	A.Graves	🇨🇦 CANADA	33	72.7%	0.33
120	R.Jagniewski	🇵🇱 POLAND	45	71.1%	0.36
121	K.Miyakuni	🇯🇵 JAPAN	48	70.8%	0.38
122	P.Bertheau	🇸🇪 SWEDEN	41	70.7%	0.39
123	M.Monsegur	🇦🇷 ARGENTINA	82	70.7%	0.41
124	S.Chokshi	🇮🇳 INDIA	51	66.7%	0.37
125	D.Crombie	🇳🇿 NEW ZEALAND	21	66.7%	0.38
126	R.Ekeblad	🇺🇸 USA 2	22	95.5%	0.04
127	C.Yeh	🇹🇼 CHINESE TAIPEI	9	88.9%	0.11
128	T.Nadim	🇪🇬 EGYPT	27	77.8%	0.22
129	M.Heshmat	🇪🇬 EGYPT	22	77.3%	0.23
130	R.Rubin	🇺🇸 USA 2	28	67.9%	0.36

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	Z.Fu	🇨🇳 CHINA	50	92.0%	0.10
2	T.Cope	🇿🇦 SOUTH AFRICA	48	91.7%	0.10
3	J.Hackett	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	56	89.3%	0.11
4	W.Fornasari	🇦🇷 ARGENTINA	56	89.3%	0.14
5	E.Rodwell	🇺🇸 USA 1	59	88.1%	0.12
6	J.Castanheira	🇵🇹 PORTUGAL	42	88.1%	0.14
7	M.Castello Branco	🇧🇷 BRAZIL	25	88.0%	0.12
8	Y.Nakamura	🇯🇵 JAPAN	49	87.8%	0.14
9	J.Verhees	🇳🇱 NETHERLANDS	41	87.8%	0.15
10	L.Yang	🇨🇳 CHINA	40	87.5%	0.15
11	W.El Ahmady	🇪🇬 EGYPT	61	86.9%	0.15
12	K.Nadar	🇮🇳 INDIA	38	86.8%	0.13
13	B.Hamman	🇺🇸 USA 1	53	86.8%	0.23
14	F.Nystrom	🇸🇪 SWEDEN	37	86.5%	0.16
15	A.Khokhlov	🇷🇺 RUSSIA	59	86.4%	0.15
16	H.Shi	🇨🇳 CHINA	43	86.0%	0.14
17	L.Lauria	🇮🇹 ITALY	50	86.0%	0.16
18	A.Hughes	🇿🇦 SOUTH AFRICA	43	86.0%	0.16
19	M.Villas-Boas	🇧🇷 BRAZIL	64	85.9%	0.14
20	H.Bertens	🇳🇱 NETHERLANDS	64	85.9%	0.16
21	P.Sundelin	🇸🇪 SWEDEN	55	85.5%	0.16
22	J.Jansma	🇳🇱 NETHERLANDS	41	85.4%	0.17
23	P.Lutostanski	🇵🇱 POLAND	46	84.8%	0.22
24	M.Reid	🇳🇿 NEW ZEALAND	52	84.6%	0.15
25	K.Jassem	🇵🇱 POLAND	52	84.6%	0.15
26	P.Markey	🇦🇺 AUSTRALIA	39	84.6%	0.18
27	R.Jagniewski	🇵🇱 POLAND	38	84.2%	0.16
28	M.Lindkvist	🇸🇪 SWEDEN	44	84.1%	0.18
29	R.Freeman	🇺🇸 USA 1	31	83.9%	0.19
30	D.Price	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	37	83.8%	0.19
31	D.Zlotov	🇷🇺 RUSSIA	49	83.7%	0.16
32	A.Gromov	🇷🇺 RUSSIA	43	83.7%	0.16
33	R.Mello	🇧🇷 BRAZIL	48	83.3%	0.17
34	D.Gold	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	36	83.3%	0.25
35	A.Dubinin	🇷🇺 RUSSIA	41	82.9%	0.20
36	G.Chagas	🇧🇷 BRAZIL	64	82.8%	0.22
37	J.Carruthers	🇨🇦 CANADA	57	82.5%	0.21
38	T.Sadek	🇪🇬 EGYPT	68	82.4%	0.19
39	A.Madala	🇦🇷 ARGENTINA	34	82.4%	0.21
40	K.Furuta	🇯🇵 JAPAN	39	82.1%	0.18
41	C.Gower	🇿🇦 SOUTH AFRICA	39	82.1%	0.20
42	G.Duboin	🇮🇹 ITALY	55	81.8%	0.18
43	S.Costa Pessoa	🇵🇹 PORTUGAL	44	81.8%	0.20
44	C.Nunes	🇮🇹 ITALY	44	81.8%	0.23
45	C.Simpson	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	33	81.8%	0.24
46	W.Chu	🇿🇦 SOUTH AFRICA	60	81.7%	0.22
47	M.Khven	🇷🇺 RUSSIA	49	81.6%	0.24
48	G.Hampson	🇺🇸 USA 2	64	81.2%	0.22
49	R.Janz	🇧🇷 BRAZIL	47	80.9%	0.26
50	P.Goncalves Pereira	🇵🇹 PORTUGAL	52	80.8%	0.21
51	B.Baran	🇨🇦 CANADA	36	80.6%	0.25
52	P.Huang	🇹🇼 CHINESE TAIPEI	62	80.6%	0.27
53	L.Palazzo	🇦🇷 ARGENTINA	56	80.4%	0.21
54	S.Chokshi	🇮🇳 INDIA	51	80.4%	0.26
55	H.Dagher	🇪🇬 EGYPT	45	80.0%	0.22
56	P.Castello Branco	🇧🇷 BRAZIL	40	80.0%	0.23
57	J.Penture	🇬🇵 GUADELOUPE	35	80.0%	0.29
58	A.Versace	🇮🇹 ITALY	44	79.5%	0.29
59	C.Luis	🇵🇹 PORTUGAL	48	79.2%	0.23
60	P.Marston	🇦🇺 AUSTRALIA	53	79.2%	0.28
61	R.Tewari	🇮🇳 INDIA	62	79.0%	0.21
62	K.Miyakuni	🇯🇵 JAPAN	61	78.7%	0.23
63	B.Satyanarayana	🇮🇳 INDIA	56	78.6%	0.29
64	J.Zhao	🇨🇳 CHINA	46	78.3%	0.26
65	B.Muller	🇳🇱 NETHERLANDS	55	78.2%	0.24
66	J.Meckstroth	🇺🇸 USA 1	59	78.0%	0.25
67	R.Santos	🇵🇹 PORTUGAL	49	77.6%	0.31
68	M.Thomson	🇦🇺 AUSTRALIA	40	77.5%	0.25
69	W.Chiu	🇹🇼 CHINESE TAIPEI	57	77.2%	0.28
70	N.Nickell	🇺🇸 USA 1	39	76.9%	0.23
71	F.Gitelman	🇺🇸 USA 2	52	76.9%	0.27
72	E.Greco	🇺🇸 USA 2	65	76.9%	0.29
73	T.Jacob	🇳🇿 NEW ZEALAND	60	76.7%	0.28
74	F.Fantoni	🇮🇹 ITALY	38	76.3%	0.26
75	A.Graves	🇨🇦 CANADA	38	76.3%	0.32
76	K.Martens	🇵🇱 POLAND	58	75.9%	0.26
77	Y.Shimizu	🇯🇵 JAPAN	37	75.7%	0.24
78	S.Gupta	🇮🇳 INDIA	45	75.6%	0.31
79	P.Newell	🇳🇿 NEW ZEALAND	60	75.0%	0.30
80	A.Kempczynski	🇬🇵 GUADELOUPE	40	75.0%	0.30
81	P.Bertheau	🇸🇪 SWEDEN	59	74.6%	0.30
82	H.Yang	🇹🇼 CHINESE TAIPEI	51	74.5%	0.29
83	P.Mathieu	🇬🇵 GUADELOUPE	43	74.4%	0.28
84	G.Mittelman	🇨🇦 CANADA	43	74.4%	0.30
85	J.Shih	🇹🇼 CHINESE TAIPEI	74	74.3%	0.30
86	M.Monsegur	🇦🇷 ARGENTINA	27	74.1%	0.44
87	Z.Zhuang	🇨🇳 CHINA	57	73.7%	0.28
88	N.Paz	🇵🇹 PORTUGAL	56	73.2%	0.32
89	P.Soloway	🇺🇸 USA 1	52	73.1%	0.33
90	A.El-Kourdy	🇪🇬 EGYPT	52	73.1%	0.35
91	B.Moss	🇺🇸 USA 2	63	73.0%	0.40
92	M.Ghanem	🇯🇴 JORDAN	81	72.8%	0.41
93	J.Silver	🇨🇦 CANADA	51	72.5%	0.28
94	M.Krupowicz	🇵🇱 POLAND	51	72.5%	0.31
95	P.Fredin	🇸🇪 SWEDEN	54	72.2%	0.32
96	T.Nunn	🇦🇺 AUSTRALIA	50	72.0%	0.32
97	M.Mayer	🇳🇿 NEW ZEALAND	64	71.9%	0.31
98	K.Venkataraman	🇮🇳 INDIA	39	71.8%	0.31
99	T.Townsend	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	39	71.8%	0.31
100	D.Chen	🇯🇵 JAPAN	39	71.8%	0.33
101	C.Castelein	🇿🇦 SOUTH AFRICA	46	71.7%	0.30
102	T.Bakkeren	🇳🇱 NETHERLANDS	42	71.4%	0.33
103	S.Hans	🇦🇺 AUSTRALIA	59	71.2%	0.39
104	J.Dai	🇨🇳 CHINA	38	71.1%	0.32
105	G.Ghanem	🇯🇴 JORDAN	82	70.7%	0.33
106	M.Cornell	🇳🇿 NEW ZEALAND	34	70.6%	0.32
107	P.Joatton	🇬🇵 GUADELOUPE	51	70.6%	0.37
108	N.Bocchi	🇮🇹 ITALY	54	70.4%	0.35
109	J.Hackett	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	56	69.6%	0.39
110	S.De Wijs	🇳🇱 NETHERLANDS	49	69.4%	0.41
111	T.Teramoto	🇯🇵 JAPAN	48	68.8%	0.40
112	V.Kholomeev	🇷🇺 RUSSIA	38	68.4%	0.40
113	R.Rizk	🇬🇵 GUADELOUPE	56	67.9%	0.48
114	D.Gerin	🇬🇵 GUADELOUPE	59	67.8%	0.36
115	G.Mooney	🇦🇷 ARGENTINA	46	67.4%	0.37
116	P.Lambardi	🇦🇷 ARGENTINA	61	67.2%	0.43
117	S.Barakat	🇯🇴 JORDAN	70	67.1%	0.40
118	J.Sylvan	🇸🇪 SWEDEN	39	66.7%	0.39
119	N.Hattar-Ghanem	🇯🇴 JORDAN	81	66.7%	0.51
120	B.Pazur	🇵🇱 POLAND	41	65.9%	0.41
121	G.Holman	🇿🇦 SOUTH AFRICA	64	65.6%	0.41
122	A.Hobart	🇨🇦 CANADA	56	64.3%	0.41
123	D.Horton	🇦🇺 AUSTRALIA	30	63.3%	0.50
124	C.Shen	🇹🇼 CHINESE TAIPEI	32	62.5%	0.41
125	D.Crombie	🇳🇿 NEW ZEALAND	33	48.5%	0.64
126	M.Heshmat	🇪🇬 EGYPT	24	83.3%	0.21
127	R.Rubin	🇺🇸 USA 2	30	76.7%	0.27
128	R.Ekeblad	🇺🇸 USA 2	24	75.0%	0.25
129	T.Nadim	🇪🇬 EGYPT	19	63.2%	0.47
130	C.Yeh	🇹🇼 CHINESE TAIPEI	32	53.1%	0.66

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	E.Greco	🇺🇸 USA 2	108	98.1%	0.02
2	G.Hampson	🇺🇸 USA 2	108	98.1%	0.02
3	L.Lauria	🇮🇹 ITALY	90	93.3%	0.09
4	A.Versace	🇮🇹 ITALY	90	93.3%	0.09
5	V.Kholomeev	🇷🇺 RUSSIA	102	93.1%	0.07
6	D.Zlotov	🇷🇺 RUSSIA	102	93.1%	0.07
7	T.Bakkeren	🇳🇱 NETHERLANDS	107	92.5%	0.08
8	H.Bertens	🇳🇱 NETHERLANDS	107	92.5%	0.08
9	H.Dagher	🇪🇬 EGYPT	92	92.4%	0.08
10	A.El-Kourdy	🇪🇬 EGYPT	92	92.4%	0.08
11	F.Fantoni	🇮🇹 ITALY	91	92.3%	0.09
12	C.Nunes	🇮🇹 ITALY	91	92.3%	0.09
13	N.Bocchi	🇮🇹 ITALY	102	92.2%	0.08
14	G.Duboin	🇮🇹 ITALY	102	92.2%	0.08
15	A.Khokhlov	🇷🇺 RUSSIA	89	92.1%	0.08
16	M.Khven	🇷🇺 RUSSIA	89	92.1%	0.08
17	K.Jassem	🇵🇱 POLAND	101	92.1%	0.09
18	K.Martens	🇵🇱 POLAND	101	92.1%	0.09
19	C.Shen	🇹🇼 CHINESE TAIPEI	89	92.1%	0.09
20	P.Lambardi	🇦🇷 ARGENTINA	99	91.9%	0.09
21	A.Madala	🇦🇷 ARGENTINA	99	91.9%	0.09
22	R.Janz	🇧🇷 BRAZIL	84	91.7%	0.10
23	R.Mello	🇧🇷 BRAZIL	84	91.7%	0.10
24	J.Meckstroth	🇺🇸 USA 1	112	91.1%	0.10
25	E.Rodwell	🇺🇸 USA 1	112	91.1%	0.10
26	P.Newell	🇳🇿 NEW ZEALAND	111	91.0%	0.09
27	M.Reid	🇳🇿 NEW ZEALAND	111	91.0%	0.09
28	P.Fredin	🇸🇪 SWEDEN	109	90.8%	0.09
29	M.Lindkvist	🇸🇪 SWEDEN	109	90.8%	0.09
30	S.De Wijs	🇳🇱 NETHERLANDS	96	90.6%	0.10
31	B.Muller	🇳🇱 NETHERLANDS	96	90.6%	0.10
32	P.Bertheau	🇸🇪 SWEDEN	85	90.6%	0.12
33	F.Nystrom	🇸🇪 SWEDEN	85	90.6%	0.12
34	H.Shi	🇨🇳 CHINA	94	90.4%	0.12
35	Z.Zhuang	🇨🇳 CHINA	94	90.4%	0.12
36	J.Castanheira	🇵🇹 PORTUGAL	91	90.1%	0.11
37	S.Costa Pessoa	🇵🇹 PORTUGAL	91	90.1%	0.11
38	J.Dai	🇨🇳 CHINA	101	90.1%	0.12
39	L.Yang	🇨🇳 CHINA	101	90.1%	0.12
40	S.Hans	🇦🇺 AUSTRALIA	100	90.0%	0.10
41	T.Nunn	🇦🇺 AUSTRALIA	100	90.0%	0.10
42	D.Price	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	90	90.0%	0.10
43	C.Simpson	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	90	90.0%	0.10
44	A.Dubinin	🇷🇺 RUSSIA	110	90.0%	0.14
45	A.Gromov	🇷🇺 RUSSIA	110	90.0%	0.14
46	S.Gupta	🇮🇳 INDIA	99	89.9%	0.13
47	R.Tewari	🇮🇳 INDIA	99	89.9%	0.13
48	G.Chagas	🇧🇷 BRAZIL	117	89.7%	0.11
49	M.Villas-Boas	🇧🇷 BRAZIL	117	89.7%	0.11
50	S.Chokshi	🇮🇳 INDIA	105	89.5%	0.10
51	K.Venkataraman	🇮🇳 INDIA	105	89.5%	0.10
52	M.Castello Branco	🇧🇷 BRAZIL	86	89.5%	0.10
53	P.Castello Branco	🇧🇷 BRAZIL	86	89.5%	0.10
54	T.Sadek	🇪🇬 EGYPT	150	89.3%	0.11
55	R.Jagniewski	🇵🇱 POLAND	83	89.2%	0.13
56	B.Pazur	🇵🇱 POLAND	83	89.2%	0.13
57	J.Jansma	🇳🇱 NETHERLANDS	83	89.2%	0.14
58	J.Verhees	🇳🇱 NETHERLANDS	83	89.2%	0.14
59	C.Castelein	🇿🇦 SOUTH AFRICA	92	89.1%	0.14
60	A.Hughes	🇿🇦 SOUTH AFRICA	92	89.1%	0.14
61	W.El Ahmady	🇪🇬 EGYPT	146	89.0%	0.11
62	G.Ghanem	🇯🇴 JORDAN	124	88.7%	0.11
63	N.Hattar-Ghanem	🇯🇴 JORDAN	124	88.7%	0.11
64	J.Hackett	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	103	88.3%	0.12
65	J.Hackett	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	103	88.3%	0.12
66	C.Luis	🇵🇹 PORTUGAL	85	88.2%	0.12
67	N.Paz	🇵🇹 PORTUGAL	85	88.2%	0.12
68	S.Barakat	🇯🇴 JORDAN	136	88.2%	0.15
69	M.Ghanem	🇯🇴 JORDAN	136	88.2%	0.15
70	P.Marston	🇦🇺 AUSTRALIA	119	88.2%	0.19
71	M.Thomson	🇦🇺 AUSTRALIA	119	88.2%	0.19
72	J.Shih	🇹🇼 CHINESE TAIPEI	126	88.1%	0.12
73	B.Hamman	🇺🇸 USA 1	90	87.8%	0.14
74	P.Soloway	🇺🇸 USA 1	90	87.8%	0.14
75	P.Huang	🇹🇼 CHINESE TAIPEI	97	87.6%	0.12
76	Z.Fu	🇨🇳 CHINA	112	87.5%	0.17
77	J.Zhao	🇨🇳 CHINA	112	87.5%	0.17
78	W.Fornasari	🇦🇷 ARGENTINA	88	87.5%	0.18
79	L.Palazzo	🇦🇷 ARGENTINA	88	87.5%	0.18
80	B.Baran	🇨🇦 CANADA	99	86.9%	0.23
81	A.Graves	🇨🇦 CANADA	99	86.9%	0.23
82	A.Hobart	🇨🇦 CANADA	90	86.7%	0.13
83	G.Mittelman	🇨🇦 CANADA	90	86.7%	0.13
84	F.Gitelman	🇺🇸 USA 2	113	86.7%	0.15
85	B.Moss	🇺🇸 USA 2	113	86.7%	0.15
86	D.Gerin	🇬🇵 GUADELOUPE	89	86.5%	0.14
87	P.Mathieu	🇬🇵 GUADELOUPE	89	86.5%	0.14
88	J.Carruthers	🇨🇦 CANADA	104	86.5%	0.14
89	J.Silver	🇨🇦 CANADA	104	86.5%	0.14
90	A.Kempczynski	🇬🇵 GUADELOUPE	110	86.4%	0.20
91	J.Penture	🇬🇵 GUADELOUPE	110	86.4%	0.20
92	Y.Nakamura	🇯🇵 JAPAN	98	85.7%	0.17
93	Y.Shimizu	🇯🇵 JAPAN	98	85.7%	0.17
94	D.Chen	🇯🇵 JAPAN	111	85.6%	0.18
95	K.Furuta	🇯🇵 JAPAN	111	85.6%	0.18
96	T.Cope	🇿🇦 SOUTH AFRICA	81	85.2%	0.15
97	G.Holman	🇿🇦 SOUTH AFRICA	81	85.2%	0.15
98	K.Miyakuni	🇯🇵 JAPAN	87	85.1%	0.20
99	T.Teramoto	🇯🇵 JAPAN	87	85.1%	0.20
100	P.Goncalves Pereira	🇵🇹 PORTUGAL	93	84.9%	0.16
101	R.Santos	🇵🇹 PORTUGAL	93	84.9%	0.16
102	W.Chu	🇿🇦 SOUTH AFRICA	112	84.8%	0.18
103	C.Gower	🇿🇦 SOUTH AFRICA	112	84.8%	0.18
104	K.Nadar	🇮🇳 INDIA	98	84.7%	0.15
105	B.Satyanarayana	🇮🇳 INDIA	98	84.7%	0.15
106	D.Gold	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	102	84.3%	0.18
107	T.Townsend	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	102	84.3%	0.18
108	T.Jacob	🇳🇿 NEW ZEALAND	112	83.9%	0.19
109	M.Mayer	🇳🇿 NEW ZEALAND	112	83.9%	0.19
110	W.Chiu	🇹🇼 CHINESE TAIPEI	92	83.7%	0.17
111	M.Cornell	🇳🇿 NEW ZEALAND	54	83.3%	0.18
112	D.Crombie	🇳🇿 NEW ZEALAND	54	83.3%	0.18
113	D.Horton	🇦🇺 AUSTRALIA	89	83.1%	0.19
114	P.Markey	🇦🇺 AUSTRALIA	89	83.1%	0.19
115	H.Yang	🇹🇼 CHINESE TAIPEI	87	82.8%	0.18
116	M.Monsegur	🇦🇷 ARGENTINA	104	82.7%	0.20
117	G.Mooney	🇦🇷 ARGENTINA	104	82.7%	0.20
118	M.Krupowicz	🇵🇱 POLAND	110	81.8%	0.19
119	P.Lutostanski	🇵🇱 POLAND	110	81.8%	0.19
120	P.Joatton	🇬🇵 GUADELOUPE	81	81.5%	0.22
121	R.Rizk	🇬🇵 GUADELOUPE	81	81.5%	0.22
122	R.Freeman	🇺🇸 USA 1	78	80.8%	0.22
123	N.Nickell	🇺🇸 USA 1	78	80.8%	0.22
124	P.Sundelin	🇸🇪 SWEDEN	90	80.0%	0.24
125	J.Sylvan	🇸🇪 SWEDEN	90	80.0%	0.24
126	C.Yeh	🇹🇼 CHINESE TAIPEI	43	90.7%	0.12
127	M.Heshmat	🇪🇬 EGYPT	51	86.3%	0.20
128	R.Ekeblad	🇺🇸 USA 2	50	86.0%	0.18
129	R.Rubin	🇺🇸 USA 2	50	86.0%	0.18
130	T.Nadim	🇪🇬 EGYPT	47	85.1%	0.21

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	E.Greco	🇺🇸 USA 2	340	-0.06	+0.59	+0.53	·
2	G.Hampson	🇺🇸 USA 2	340	-0.06	+0.59	+0.53	·
3	W.El Ahmady	🇪🇬 EGYPT	400	-0.07	+0.52	+0.45	·
4	S.Hans	🇦🇺 AUSTRALIA	320	+0.04	+0.40	+0.44	▲11
5	T.Nunn	🇦🇺 AUSTRALIA	320	+0.04	+0.40	+0.44	▲11
6	J.Meckstroth	🇺🇸 USA 1	360	+0.21	+0.21	+0.42	▲27
7	E.Rodwell	🇺🇸 USA 1	360	+0.21	+0.21	+0.42	▲27
8	T.Cope	🇿🇦 SOUTH AFRICA	280	+0.05	+0.36	+0.41	▲13
9	G.Holman	🇿🇦 SOUTH AFRICA	280	+0.05	+0.36	+0.41	▲13
10	L.Lauria	🇮🇹 ITALY	280	-0.09	+0.48	+0.40	▼4
11	A.Versace	🇮🇹 ITALY	280	-0.09	+0.48	+0.40	▼4
12	T.Sadek	🇪🇬 EGYPT	420	-0.07	+0.45	+0.38	▼4
13	K.Nadar	🇮🇳 INDIA	260	-0.04	+0.42	+0.38	▼2
14	B.Satyanarayana	🇮🇳 INDIA	260	-0.04	+0.42	+0.38	▼2
15	M.Castello Branco	🇧🇷 BRAZIL	220	+0.23	+0.14	+0.38	▲32
16	P.Castello Branco	🇧🇷 BRAZIL	220	+0.23	+0.14	+0.38	▲32
17	N.Bocchi	🇮🇹 ITALY	300	-0.06	+0.41	+0.36	▼4
18	G.Duboin	🇮🇹 ITALY	300	-0.06	+0.41	+0.36	▼4
19	P.Bertheau	🇸🇪 SWEDEN	280	-0.12	+0.45	+0.33	▼10
20	F.Nystrom	🇸🇪 SWEDEN	280	-0.12	+0.45	+0.33	▼10
21	P.Newell	🇳🇿 NEW ZEALAND	320	-0.17	+0.49	+0.32	▼17
22	M.Reid	🇳🇿 NEW ZEALAND	320	-0.17	+0.49	+0.32	▼17
23	F.Fantoni	🇮🇹 ITALY	260	+0.12	+0.18	+0.30	▲18
24	C.Nunes	🇮🇹 ITALY	260	+0.12	+0.18	+0.30	▲18
25	J.Dai	🇨🇳 CHINA	260	-0.09	+0.38	+0.29	▼6
26	L.Yang	🇨🇳 CHINA	260	-0.09	+0.38	+0.29	▼6
27	Y.Nakamura	🇯🇵 JAPAN	280	-0.11	+0.38	+0.27	▼10
28	Y.Shimizu	🇯🇵 JAPAN	280	-0.11	+0.38	+0.27	▼10
29	D.Price	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	240	-0.10	+0.35	+0.25	▼4
30	C.Simpson	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	240	-0.10	+0.35	+0.25	▼4
31	C.Shen	🇹🇼 CHINESE TAIPEI	280	+0.10	+0.14	+0.25	▲18
32	G.Chagas	🇧🇷 BRAZIL	360	-0.05	+0.30	+0.25	▼5
33	M.Villas-Boas	🇧🇷 BRAZIL	360	-0.05	+0.30	+0.25	▼5
34	S.Chokshi	🇮🇳 INDIA	280	+0.05	+0.19	+0.24	▲3
35	K.Venkataraman	🇮🇳 INDIA	280	+0.05	+0.19	+0.24	▲3
36	D.Chen	🇯🇵 JAPAN	280	+0.13	+0.09	+0.22	▲26
37	K.Furuta	🇯🇵 JAPAN	280	+0.13	+0.09	+0.22	▲26
38	W.Fornasari	🇦🇷 ARGENTINA	300	-0.15	+0.35	+0.21	▼15
39	L.Palazzo	🇦🇷 ARGENTINA	300	-0.15	+0.35	+0.21	▼15
40	A.Khokhlov	🇷🇺 RUSSIA	280	-0.10	+0.29	+0.20	▼11
41	M.Khven	🇷🇺 RUSSIA	280	-0.10	+0.29	+0.20	▼11
42	J.Castanheira	🇵🇹 PORTUGAL	280	-0.01	+0.20	+0.18	▼7
43	S.Costa Pessoa	🇵🇹 PORTUGAL	280	-0.01	+0.20	+0.18	▼7
44	J.Hackett	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	340	+0.07	+0.11	+0.18	▲14
45	J.Hackett	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	340	+0.07	+0.11	+0.18	▲14
46	D.Gerin	🇬🇵 GUADELOUPE	280	+0.04	+0.11	+0.15	▲6
47	P.Mathieu	🇬🇵 GUADELOUPE	280	+0.04	+0.11	+0.15	▲6
48	S.Gupta	🇮🇳 INDIA	300	+0.09	+0.06	+0.14	▲24
49	R.Tewari	🇮🇳 INDIA	300	+0.09	+0.06	+0.14	▲24
50	A.Hobart	🇨🇦 CANADA	280	+0.11	+0.01	+0.12	▲28
51	G.Mittelman	🇨🇦 CANADA	280	+0.11	+0.01	+0.12	▲28
52	W.Chu	🇿🇦 SOUTH AFRICA	300	+0.01	+0.11	+0.12	▲4
53	C.Gower	🇿🇦 SOUTH AFRICA	300	+0.01	+0.11	+0.12	▲4
54	R.Freeman	🇺🇸 USA 1	200	-0.06	+0.18	+0.11	▼15
55	N.Nickell	🇺🇸 USA 1	200	-0.06	+0.18	+0.11	▼15
56	P.Fredin	🇸🇪 SWEDEN	300	+0.02	+0.09	+0.11	▲10
57	M.Lindkvist	🇸🇪 SWEDEN	300	+0.02	+0.09	+0.11	▲10
58	V.Kholomeev	🇷🇺 RUSSIA	280	+0.08	+0.03	+0.11	▲18
59	D.Zlotov	🇷🇺 RUSSIA	280	+0.08	+0.03	+0.11	▲18
60	T.Jacob	🇳🇿 NEW ZEALAND	340	+0.01	+0.09	+0.10	▲4
61	M.Mayer	🇳🇿 NEW ZEALAND	340	+0.01	+0.09	+0.10	▲4
62	P.Sundelin	🇸🇪 SWEDEN	260	-0.05	+0.16	+0.10	▼17
63	J.Sylvan	🇸🇪 SWEDEN	260	-0.05	+0.16	+0.10	▼17
64	K.Jassem	🇵🇱 POLAND	300	-0.06	+0.16	+0.10	▼21
65	K.Martens	🇵🇱 POLAND	300	-0.06	+0.16	+0.10	▼21
66	M.Monsegur	🇦🇷 ARGENTINA	260	+0.02	+0.08	+0.09	▲4
67	G.Mooney	🇦🇷 ARGENTINA	260	+0.02	+0.08	+0.09	▲4
68	R.Janz	🇧🇷 BRAZIL	260	-0.00	+0.08	+0.08	·
69	R.Mello	🇧🇷 BRAZIL	260	-0.00	+0.08	+0.08	·
70	J.Jansma	🇳🇱 NETHERLANDS	240	-0.04	+0.12	+0.08	▼20
71	J.Verhees	🇳🇱 NETHERLANDS	240	-0.04	+0.12	+0.08	▼20
72	Z.Fu	🇨🇳 CHINA	300	+0.03	+0.05	+0.07	▲2
73	J.Zhao	🇨🇳 CHINA	300	+0.03	+0.05	+0.07	▲2
74	S.De Wijs	🇳🇱 NETHERLANDS	300	+0.11	-0.04	+0.07	▲9
75	B.Muller	🇳🇱 NETHERLANDS	300	+0.11	-0.04	+0.07	▲9
76	T.Bakkeren	🇳🇱 NETHERLANDS	300	-0.19	+0.24	+0.04	▼45
77	H.Bertens	🇳🇱 NETHERLANDS	300	-0.19	+0.24	+0.04	▼45
78	P.Lambardi	🇦🇷 ARGENTINA	280	+0.10	-0.06	+0.04	▲11
79	A.Madala	🇦🇷 ARGENTINA	280	+0.10	-0.06	+0.04	▲11
80	H.Dagher	🇪🇬 EGYPT	280	+0.06	-0.05	+0.01	▲5
81	A.El-Kourdy	🇪🇬 EGYPT	280	+0.06	-0.05	+0.01	▲5
82	H.Shi	🇨🇳 CHINA	280	+0.18	-0.17	+0.01	▲11
83	Z.Zhuang	🇨🇳 CHINA	280	+0.18	-0.17	+0.01	▲11
84	B.Hamman	🇺🇸 USA 1	280	-0.11	+0.11	+0.00	▼30
85	P.Soloway	🇺🇸 USA 1	280	-0.11	+0.11	+0.00	▼30
86	M.Krupowicz	🇵🇱 POLAND	300	+0.15	-0.15	+0.00	▲5
87	P.Lutostanski	🇵🇱 POLAND	300	+0.15	-0.15	+0.00	▲5
88	P.Goncalves Pereira	🇵🇹 PORTUGAL	280	-0.15	+0.10	-0.06	▼28
89	R.Santos	🇵🇹 PORTUGAL	280	-0.15	+0.10	-0.06	▼28
90	J.Carruthers	🇨🇦 CANADA	320	-0.06	-0.00	-0.06	▼9
91	J.Silver	🇨🇦 CANADA	320	-0.06	-0.00	-0.06	▼9
92	J.Shih	🇹🇼 CHINESE TAIPEI	400	-0.07	+0.00	-0.07	▼12
93	F.Gitelman	🇺🇸 USA 2	340	-0.01	-0.06	-0.07	▼6
94	B.Moss	🇺🇸 USA 2	340	-0.01	-0.06	-0.07	▼6
95	C.Luis	🇵🇹 PORTUGAL	280	+0.02	-0.19	-0.17	·
96	N.Paz	🇵🇹 PORTUGAL	280	+0.02	-0.19	-0.17	·
97	P.Marston	🇦🇺 AUSTRALIA	300	+0.03	-0.23	-0.20	▲2
98	M.Thomson	🇦🇺 AUSTRALIA	300	+0.03	-0.23	-0.20	▲2
99	B.Baran	🇨🇦 CANADA	240	-0.01	-0.21	-0.22	▼2
100	A.Graves	🇨🇦 CANADA	240	-0.01	-0.21	-0.22	▼2
101	K.Miyakuni	🇯🇵 JAPAN	280	-0.07	-0.25	-0.31	·
102	T.Teramoto	🇯🇵 JAPAN	280	-0.07	-0.25	-0.31	·
103	P.Huang	🇹🇼 CHINESE TAIPEI	320	-0.07	-0.25	-0.32	·
104	D.Horton	🇦🇺 AUSTRALIA	220	-0.04	-0.30	-0.34	·
105	P.Markey	🇦🇺 AUSTRALIA	220	-0.04	-0.30	-0.34	·
106	C.Castelein	🇿🇦 SOUTH AFRICA	260	-0.05	-0.32	-0.37	·
107	A.Hughes	🇿🇦 SOUTH AFRICA	260	-0.05	-0.32	-0.37	·
108	A.Dubinin	🇷🇺 RUSSIA	280	-0.08	-0.34	-0.42	·
109	A.Gromov	🇷🇺 RUSSIA	280	-0.08	-0.34	-0.42	·
110	D.Gold	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	260	-0.10	-0.40	-0.50	·
111	T.Townsend	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	260	-0.10	-0.40	-0.50	·
112	W.Chiu	🇹🇼 CHINESE TAIPEI	280	-0.07	-0.45	-0.52	·
113	M.Cornell	🇳🇿 NEW ZEALAND	180	+0.17	-0.87	-0.70	▲1
114	D.Crombie	🇳🇿 NEW ZEALAND	180	+0.17	-0.87	-0.70	▲1
115	H.Yang	🇹🇼 CHINESE TAIPEI	260	-0.08	-0.65	-0.73	▼2
116	G.Ghanem	🇯🇴 JORDAN	420	+0.13	-0.90	-0.76	▲2
117	N.Hattar-Ghanem	🇯🇴 JORDAN	420	+0.13	-0.90	-0.76	▲2
118	P.Joatton	🇬🇵 GUADELOUPE	280	+0.10	-0.89	-0.80	▼2
119	R.Rizk	🇬🇵 GUADELOUPE	280	+0.10	-0.89	-0.80	▼2
120	S.Barakat	🇯🇴 JORDAN	420	+0.02	-0.91	-0.89	·
121	M.Ghanem	🇯🇴 JORDAN	420	+0.02	-0.91	-0.89	·
122	R.Jagniewski	🇵🇱 POLAND	240	+0.01	-1.00	-0.99	▲2
123	B.Pazur	🇵🇱 POLAND	240	+0.01	-1.00	-0.99	▲2
124	A.Kempczynski	🇬🇵 GUADELOUPE	280	-0.04	-0.97	-1.02	▼2
125	J.Penture	🇬🇵 GUADELOUPE	280	-0.04	-0.97	-1.02	▼2

Stages

Statistics