Bali 2013 — 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	J.Kranyak	🇺🇸 USA1	224	+1.09	+244.0
2	G.Wolpert	🇺🇸 USA1	224	+1.09	+244.0
3	G.Helgemo	🇲🇨 MONACO	256	+0.93	+238.0
4	T.Helness	🇲🇨 MONACO	256	+0.93	+238.0
5	R.Levin	🇺🇸 USA1	224	+0.83	+185.0
6	S.Weinstein	🇺🇸 USA1	224	+0.83	+185.0
7	T.Forrester	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	272	+0.82	+224.0
8	S.De Wijs	🇳🇱 NETHERLANDS	224	+0.82	+184.0
9	B.Muller	🇳🇱 NETHERLANDS	224	+0.82	+184.0
10	L.Lauria	🇮🇹 ITALY	224	+0.81	+181.0
11	A.Versace	🇮🇹 ITALY	224	+0.81	+181.0
12	D.Korbel	🇨🇦 CANADA	288	+0.69	+199.0
13	D.Wolpert	🇨🇦 CANADA	288	+0.69	+199.0
14	J.Piekarek	🇩🇪 GERMANY	240	+0.59	+141.0
15	A.Smirnov	🇩🇪 GERMANY	240	+0.59	+141.0
16	C.Balicki	🇵🇱 POLAND	256	+0.55	+142.0
17	A.Zmudzinski	🇵🇱 POLAND	256	+0.55	+142.0
18	D.Chen	🇯🇵 JAPAN	240	+0.53	+126.0
19	K.Furuta	🇯🇵 JAPAN	240	+0.53	+126.0
20	W.Wang	🇨🇳 CHINA	192	+0.51	+98.0
21	B.Zhang	🇨🇳 CHINA	192	+0.51	+98.0
22	G.Duboin	🇮🇹 ITALY	192	+0.50	+96.0
23	A.Sementa	🇮🇹 ITALY	192	+0.50	+96.0
24	Z.Mahmood	🇺🇸 USA2	240	+0.49	+118.0
25	C.Martel	🇺🇸 USA2	240	+0.49	+118.0
26	D.Gold	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	272	+0.47	+128.0
27	N.Bocchi	🇮🇹 ITALY	256	+0.44	+112.0
28	A.Madala	🇮🇹 ITALY	256	+0.44	+112.0
29	A.Kanetkar	🇦🇺 AUSTRALIA	256	+0.41	+105.0
30	M.Thomson	🇦🇺 AUSTRALIA	256	+0.41	+105.0
31	F.Karwur	🇮🇩 INDONESIA	336	+0.38	+129.0
32	M.Fleisher	🇺🇸 USA2	160	+0.38	+60.0
33	M.Kamil	🇺🇸 USA2	160	+0.38	+60.0
34	F.Fantoni	🇲🇨 MONACO	256	+0.36	+92.0
35	C.Nunes	🇲🇨 MONACO	256	+0.36	+92.0
36	D.Brenner	🇧🇷 BRAZIL	224	+0.26	+58.0
37	M.Toma	🇧🇷 BRAZIL	224	+0.26	+58.0
38	T.Townsend	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	144	+0.24	+34.0
39	P.Lambardi	🇦🇷 ARGENTINA	256	+0.22	+57.0
40	L.Rizzo	🇦🇷 ARGENTINA	256	+0.22	+57.0
41	F.Multon	🇲🇨 MONACO	160	+0.17	+27.0
42	P.Zimmermann	🇲🇨 MONACO	160	+0.17	+27.0
43	K.Buras	🇵🇱 POLAND	240	+0.15	+36.0
44	G.Narkiewicz	🇵🇱 POLAND	240	+0.15	+36.0
45	D.Bakhshi	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	256	+0.15	+38.0
46	J.George	🇮🇩 INDONESIA	240	+0.14	+34.0
47	M.Rosenberg	🇺🇸 USA2	272	+0.12	+34.0
48	C.Willenken	🇺🇸 USA2	272	+0.12	+34.0
49	M.Ino	🇯🇵 JAPAN	208	+0.12	+26.0
50	T.Teramoto	🇯🇵 JAPAN	208	+0.12	+26.0
51	C.Ju	🇨🇳 CHINA	256	+0.11	+29.0
52	Z.Shi	🇨🇳 CHINA	256	+0.11	+29.0
53	R.Lian	🇨🇳 CHINA	224	+0.11	+25.0
54	H.Shi	🇨🇳 CHINA	224	+0.11	+25.0
55	K.Bathurst	🇺🇸 USA1	224	+0.11	+25.0
56	K.Dwyer	🇺🇸 USA1	224	+0.11	+25.0
57	T.Asbi	🇮🇩 INDONESIA	336	+0.11	+36.0
58	R.Tobing	🇮🇩 INDONESIA	336	+0.11	+36.0
59	A.Apteker	🇿🇦 SOUTH AFRICA	336	+0.10	+35.0
60	C.Gower	🇿🇦 SOUTH AFRICA	336	+0.10	+35.0
61	A.Robson	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	256	+0.07	+18.0
62	K.Jassem	🇵🇱 POLAND	176	+0.07	+12.0
63	M.Mazurkiewicz	🇵🇱 POLAND	176	+0.07	+12.0
64	M.Gromoeller	🇩🇪 GERMANY	208	+0.06	+12.0
65	M.Rehder	🇩🇪 GERMANY	208	+0.06	+12.0
66	S.Brink	🇳🇱 NETHERLANDS	272	+0.04	+10.0
67	B.Drijver	🇳🇱 NETHERLANDS	272	+0.04	+10.0
68	P.Newell	🇳🇿 NEW ZEALAND	240	+0.01	+3.0
69	M.Reid	🇳🇿 NEW ZEALAND	240	+0.01	+3.0
70	P.Ravenna	🇦🇷 ARGENTINA	192	-0.01	-1.0
71	R.Van Prooijen	🇳🇱 NETHERLANDS	176	-0.02	-4.0
72	J.Verhees	🇳🇱 NETHERLANDS	176	-0.02	-4.0
73	A.Chao	🇹🇼 CHINESE TAIPEI	224	-0.04	-8.0
74	C.Ho	🇹🇼 CHINESE TAIPEI	224	-0.04	-8.0
75	W.Basiony	🇧🇭 BAHRAIN	336	-0.06	-20.0
76	T.Maci	🇧🇭 BAHRAIN	336	-0.06	-20.0
77	J.Smith	🇨🇦 CANADA	192	-0.07	-14.0
78	P.Thurston	🇨🇦 CANADA	192	-0.07	-14.0
79	A.Saaid	🇪🇬 EGYPT	176	-0.09	-16.0
80	K.Nabil	🇪🇬 EGYPT	208	-0.13	-28.0
81	P.Balakrishnan	🇮🇳 INDIA	192	-0.20	-38.0
82	J.Campos	🇧🇷 BRAZIL	224	-0.22	-50.0
83	M.Villas-Boas	🇧🇷 BRAZIL	224	-0.22	-50.0
84	R.Tewari	🇮🇳 INDIA	224	-0.22	-50.0
85	G.Alujas	🇦🇷 ARGENTINA	176	-0.23	-41.0
86	G.Tislevoll	🇳🇿 NEW ZEALAND	208	-0.24	-50.0
87	M.Ware	🇳🇿 NEW ZEALAND	208	-0.24	-50.0
88	B.Satyanarayana	🇮🇳 INDIA	240	-0.24	-58.0
89	H.Kaku	🇯🇵 JAPAN	224	-0.25	-55.0
90	M.Takayama	🇯🇵 JAPAN	224	-0.25	-55.0
91	A.Bach	🇳🇿 NEW ZEALAND	224	-0.29	-64.0
92	M.Cornell	🇳🇿 NEW ZEALAND	224	-0.29	-64.0
93	J.Fritsche	🇩🇪 GERMANY	224	-0.32	-71.0
94	R.Rohowsky	🇩🇪 GERMANY	224	-0.32	-71.0
95	A.Kempczynski	🇬🇵 GUADELOUPE	224	-0.32	-71.0
96	C.Pellegrini	🇦🇷 ARGENTINA	240	-0.33	-78.0
97	J.Gartaganis	🇨🇦 CANADA	192	-0.34	-65.0
98	N.Gartaganis	🇨🇦 CANADA	192	-0.34	-65.0
99	P.Mathieu	🇬🇵 GUADELOUPE	240	-0.35	-84.0
100	K.Nadar	🇮🇳 INDIA	224	-0.37	-82.0
101	P.Brum	🇧🇷 BRAZIL	224	-0.39	-88.0
102	G.Chagas	🇧🇷 BRAZIL	224	-0.39	-88.0
103	A.Samir	🇪🇬 EGYPT	240	-0.40	-95.0
104	S.Noshy	🇪🇬 EGYPT	224	-0.47	-106.0
105	H.Camberos	🇦🇷 ARGENTINA	224	-0.53	-118.0
106	R.Aragones	🇬🇵 GUADELOUPE	160	-0.57	-91.0
107	A.Allfrey	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	144	-0.57	-82.0
108	J.Pelletier	🇬🇵 GUADELOUPE	256	-0.64	-163.0
109	C.Bosenberg	🇿🇦 SOUTH AFRICA	336	-0.64	-215.0
110	N.Eber	🇿🇦 SOUTH AFRICA	336	-0.64	-215.0
111	S.Chokshi	🇮🇳 INDIA	224	-0.70	-156.0
112	G.Bilski	🇦🇺 AUSTRALIA	208	-0.70	-146.0
113	T.Brown	🇦🇺 AUSTRALIA	208	-0.70	-146.0
114	A.Hussein	🇪🇬 EGYPT	240	-0.79	-190.0
115	K.Venkataraman	🇮🇳 INDIA	240	-0.80	-192.0
116	T.Sadek	🇪🇬 EGYPT	256	-0.83	-213.0
117	R.Krochmalik	🇦🇺 AUSTRALIA	208	-0.85	-176.0
118	P.Lavings	🇦🇺 AUSTRALIA	208	-0.85	-176.0
119	J.Ho	🇹🇼 CHINESE TAIPEI	224	-0.86	-192.0
120	N.Shen	🇹🇼 CHINESE TAIPEI	224	-0.86	-192.0
121	D.Gerin	🇬🇵 GUADELOUPE	272	-0.87	-236.0
122	L.Soudan	🇬🇵 GUADELOUPE	192	-0.92	-177.0
123	R.Chen	🇹🇼 CHINESE TAIPEI	224	-1.03	-230.0
124	J.Huang	🇹🇼 CHINESE TAIPEI	224	-1.03	-230.0
125	M.Nonoo	🇧🇭 BAHRAIN	320	-1.38	-442.0
126	I.Syed	🇧🇭 BAHRAIN	336	-1.38	-465.0
127	D.Sacul	🇮🇩 INDONESIA	96	+0.99	+95.0
128	T.Shafeea	🇧🇭 BAHRAIN	16	-1.44	-23.0

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	M.Fleisher	🇺🇸 USA2	36	97.2%	0.03
2	M.Gromoeller	🇩🇪 GERMANY	54	92.6%	0.07
3	K.Bathurst	🇺🇸 USA1	39	92.3%	0.08
4	J.Smith	🇨🇦 CANADA	13	92.3%	0.08
5	T.Brown	🇦🇺 AUSTRALIA	44	90.9%	0.14
6	P.Lavings	🇦🇺 AUSTRALIA	43	90.7%	0.14
7	C.Willenken	🇺🇸 USA2	64	90.6%	0.11
8	R.Lian	🇨🇳 CHINA	42	90.5%	0.12
9	K.Buras	🇵🇱 POLAND	62	90.3%	0.10
10	K.Jassem	🇵🇱 POLAND	31	90.3%	0.10
11	T.Townsend	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	30	90.0%	0.13
12	A.Chao	🇹🇼 CHINESE TAIPEI	57	89.5%	0.12
13	S.De Wijs	🇳🇱 NETHERLANDS	47	89.4%	0.15
14	F.Karwur	🇮🇩 INDONESIA	92	89.1%	0.14
15	R.Tobing	🇮🇩 INDONESIA	82	89.0%	0.12
16	T.Forrester	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	71	88.7%	0.13
17	G.Duboin	🇮🇹 ITALY	44	88.6%	0.14
18	R.Aragones	🇬🇵 GUADELOUPE	35	88.6%	0.20
19	C.Ju	🇨🇳 CHINA	34	88.2%	0.12
20	J.Piekarek	🇩🇪 GERMANY	67	88.1%	0.13
21	D.Bakhshi	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	67	88.1%	0.16
22	R.Krochmalik	🇦🇺 AUSTRALIA	49	87.8%	0.14
23	S.Weinstein	🇺🇸 USA1	49	87.8%	0.29
24	K.Furuta	🇯🇵 JAPAN	65	87.7%	0.14
25	B.Zhang	🇨🇳 CHINA	57	87.7%	0.16
26	A.Hussein	🇪🇬 EGYPT	32	87.5%	0.12
27	A.Smirnov	🇩🇪 GERMANY	64	87.5%	0.14
28	G.Helgemo	🇲🇨 MONACO	68	86.8%	0.16
29	Z.Mahmood	🇺🇸 USA2	45	86.7%	0.13
30	P.Zimmermann	🇲🇨 MONACO	30	86.7%	0.13
31	G.Tislevoll	🇳🇿 NEW ZEALAND	58	86.2%	0.19
32	M.Villas-Boas	🇧🇷 BRAZIL	57	86.0%	0.16
33	G.Alujas	🇦🇷 ARGENTINA	43	86.0%	0.19
34	A.Apteker	🇿🇦 SOUTH AFRICA	86	86.0%	0.23
35	C.Martel	🇺🇸 USA2	64	85.9%	0.16
36	M.Takayama	🇯🇵 JAPAN	56	85.7%	0.16
37	D.Korbel	🇨🇦 CANADA	62	85.5%	0.14
38	A.Kanetkar	🇦🇺 AUSTRALIA	69	85.5%	0.16
39	T.Helness	🇲🇨 MONACO	62	85.5%	0.16
40	K.Nadar	🇮🇳 INDIA	62	85.5%	0.16
41	A.Versace	🇮🇹 ITALY	55	85.5%	0.16
42	J.Kranyak	🇺🇸 USA1	61	85.2%	0.16
43	A.Saaid	🇪🇬 EGYPT	47	85.1%	0.17
44	P.Lambardi	🇦🇷 ARGENTINA	60	85.0%	0.23
45	A.Robson	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	53	84.9%	0.15
46	M.Toma	🇧🇷 BRAZIL	46	84.8%	0.20
47	C.Ho	🇹🇼 CHINESE TAIPEI	58	84.5%	0.17
48	M.Rehder	🇩🇪 GERMANY	58	84.5%	0.22
49	D.Wolpert	🇨🇦 CANADA	76	84.2%	0.17
50	K.Nabil	🇪🇬 EGYPT	57	84.2%	0.17
51	L.Soudan	🇬🇵 GUADELOUPE	57	84.2%	0.19
52	T.Teramoto	🇯🇵 JAPAN	50	84.0%	0.32
53	M.Ware	🇳🇿 NEW ZEALAND	43	83.7%	0.19
54	A.Samir	🇪🇬 EGYPT	61	83.6%	0.16
55	B.Satyanarayana	🇮🇳 INDIA	61	83.6%	0.20
56	G.Bilski	🇦🇺 AUSTRALIA	61	83.6%	0.25
57	D.Gold	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	66	83.3%	0.20
58	D.Chen	🇯🇵 JAPAN	66	83.3%	0.23
59	J.Pelletier	🇬🇵 GUADELOUPE	54	83.3%	0.30
60	H.Shi	🇨🇳 CHINA	71	83.1%	0.18
61	B.Muller	🇳🇱 NETHERLANDS	65	83.1%	0.20
62	J.Campos	🇧🇷 BRAZIL	53	83.0%	0.19
63	J.Gartaganis	🇨🇦 CANADA	47	83.0%	0.21
64	N.Gartaganis	🇨🇦 CANADA	35	82.9%	0.17
65	L.Rizzo	🇦🇷 ARGENTINA	70	82.9%	0.19
66	F.Fantoni	🇲🇨 MONACO	58	82.8%	0.19
67	D.Gerin	🇬🇵 GUADELOUPE	58	82.8%	0.19
68	P.Newell	🇳🇿 NEW ZEALAND	64	82.8%	0.27
69	H.Kaku	🇯🇵 JAPAN	46	82.6%	0.17
70	A.Sementa	🇮🇹 ITALY	57	82.5%	0.21
71	J.Verhees	🇳🇱 NETHERLANDS	34	82.4%	0.29
72	C.Balicki	🇵🇱 POLAND	79	82.3%	0.21
73	T.Asbi	🇮🇩 INDONESIA	107	82.2%	0.20
74	I.Syed	🇧🇭 BAHRAIN	73	82.2%	0.23
75	C.Gower	🇿🇦 SOUTH AFRICA	84	82.1%	0.18
76	M.Mazurkiewicz	🇵🇱 POLAND	56	82.1%	0.23
77	K.Venkataraman	🇮🇳 INDIA	50	82.0%	0.18
78	G.Wolpert	🇺🇸 USA1	55	81.8%	0.20
79	S.Brink	🇳🇱 NETHERLANDS	66	81.8%	0.21
80	M.Ino	🇯🇵 JAPAN	55	81.8%	0.22
81	N.Eber	🇿🇦 SOUTH AFRICA	77	81.8%	0.22
82	C.Bosenberg	🇿🇦 SOUTH AFRICA	87	81.6%	0.23
83	A.Kempczynski	🇬🇵 GUADELOUPE	65	81.5%	0.18
84	R.Levin	🇺🇸 USA1	65	81.5%	0.21
85	C.Pellegrini	🇦🇷 ARGENTINA	59	81.4%	0.19
86	B.Drijver	🇳🇱 NETHERLANDS	80	81.2%	0.23
87	G.Chagas	🇧🇷 BRAZIL	53	81.1%	0.19
88	N.Shen	🇹🇼 CHINESE TAIPEI	53	81.1%	0.24
89	J.Ho	🇹🇼 CHINESE TAIPEI	63	81.0%	0.22
90	P.Brum	🇧🇷 BRAZIL	58	81.0%	0.22
91	R.Van Prooijen	🇳🇱 NETHERLANDS	47	80.9%	0.23
92	M.Reid	🇳🇿 NEW ZEALAND	57	80.7%	0.23
93	M.Nonoo	🇧🇭 BAHRAIN	82	80.5%	0.24
94	W.Basiony	🇧🇭 BAHRAIN	70	80.0%	0.27
95	G.Narkiewicz	🇵🇱 POLAND	49	79.6%	0.27
96	A.Zmudzinski	🇵🇱 POLAND	63	79.4%	0.22
97	M.Cornell	🇳🇿 NEW ZEALAND	48	79.2%	0.21
98	T.Maci	🇧🇭 BAHRAIN	101	79.2%	0.26
99	N.Bocchi	🇮🇹 ITALY	57	78.9%	0.21
100	S.Chokshi	🇮🇳 INDIA	47	78.7%	0.23
101	F.Multon	🇲🇨 MONACO	47	78.7%	0.26
102	S.Noshy	🇪🇬 EGYPT	56	78.6%	0.23
103	M.Rosenberg	🇺🇸 USA2	74	78.4%	0.24
104	L.Lauria	🇮🇹 ITALY	51	78.4%	0.26
105	P.Balakrishnan	🇮🇳 INDIA	46	78.3%	0.26
106	M.Thomson	🇦🇺 AUSTRALIA	60	78.3%	0.27
107	C.Nunes	🇲🇨 MONACO	59	78.0%	0.24
108	P.Mathieu	🇬🇵 GUADELOUPE	59	78.0%	0.25
109	J.George	🇮🇩 INDONESIA	49	77.6%	0.27
110	J.Fritsche	🇩🇪 GERMANY	44	77.3%	0.25
111	P.Ravenna	🇦🇷 ARGENTINA	50	76.0%	0.24
112	R.Chen	🇹🇼 CHINESE TAIPEI	45	75.6%	0.31
113	Z.Shi	🇨🇳 CHINA	84	75.0%	0.31
114	R.Tewari	🇮🇳 INDIA	63	74.6%	0.30
115	H.Camberos	🇦🇷 ARGENTINA	47	74.5%	0.26
116	W.Wang	🇨🇳 CHINA	55	74.5%	0.33
117	K.Dwyer	🇺🇸 USA1	65	73.8%	0.28
118	A.Bach	🇳🇿 NEW ZEALAND	76	73.7%	0.41
119	A.Allfrey	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	31	71.0%	0.29
120	T.Sadek	🇪🇬 EGYPT	86	70.9%	0.40
121	D.Brenner	🇧🇷 BRAZIL	58	70.7%	0.33
122	J.Huang	🇹🇼 CHINESE TAIPEI	57	70.2%	0.35
123	M.Kamil	🇺🇸 USA2	43	69.8%	0.37
124	R.Rohowsky	🇩🇪 GERMANY	56	69.6%	0.43
125	P.Thurston	🇨🇦 CANADA	85	67.1%	0.46
126	A.Madala	🇮🇹 ITALY	63	66.7%	0.44
127	D.Sacul	🇮🇩 INDONESIA	17	82.4%	0.29
128	T.Shafeea	🇧🇭 BAHRAIN	6	66.7%	0.33

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	M.Takayama	🇯🇵 JAPAN	51	90.2%	0.12
2	G.Helgemo	🇲🇨 MONACO	58	89.7%	0.10
3	A.Smirnov	🇩🇪 GERMANY	53	86.8%	0.21
4	S.Brink	🇳🇱 NETHERLANDS	51	86.3%	0.14
5	A.Madala	🇮🇹 ITALY	51	86.3%	0.16
6	P.Thurston	🇨🇦 CANADA	21	85.7%	0.14
7	R.Rohowsky	🇩🇪 GERMANY	56	85.7%	0.14
8	K.Bathurst	🇺🇸 USA1	55	83.6%	0.24
9	R.Tobing	🇮🇩 INDONESIA	72	83.3%	0.17
10	F.Multon	🇲🇨 MONACO	24	83.3%	0.21
11	J.Piekarek	🇩🇪 GERMANY	54	83.3%	0.22
12	T.Teramoto	🇯🇵 JAPAN	41	82.9%	0.20
13	J.Pelletier	🇬🇵 GUADELOUPE	76	82.9%	0.20
14	K.Buras	🇵🇱 POLAND	75	82.7%	0.23
15	W.Wang	🇨🇳 CHINA	40	82.5%	0.20
16	S.Chokshi	🇮🇳 INDIA	80	82.5%	0.20
17	D.Gold	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	68	82.4%	0.22
18	C.Nunes	🇲🇨 MONACO	73	82.2%	0.19
19	N.Shen	🇹🇼 CHINESE TAIPEI	49	81.6%	0.18
20	M.Toma	🇧🇷 BRAZIL	49	81.6%	0.22
21	H.Camberos	🇦🇷 ARGENTINA	54	81.5%	0.20
22	P.Mathieu	🇬🇵 GUADELOUPE	59	81.4%	0.25
23	C.Willenken	🇺🇸 USA2	64	81.2%	0.20
24	K.Furuta	🇯🇵 JAPAN	48	81.2%	0.25
25	A.Zmudzinski	🇵🇱 POLAND	47	80.9%	0.19
26	N.Gartaganis	🇨🇦 CANADA	57	80.7%	0.21
27	G.Alujas	🇦🇷 ARGENTINA	41	80.5%	0.22
28	M.Ino	🇯🇵 JAPAN	61	80.3%	0.25
29	C.Balicki	🇵🇱 POLAND	65	80.0%	0.20
30	L.Lauria	🇮🇹 ITALY	55	80.0%	0.22
31	C.Gower	🇿🇦 SOUTH AFRICA	85	80.0%	0.28
32	B.Drijver	🇳🇱 NETHERLANDS	69	79.7%	0.22
33	A.Robson	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	69	79.7%	0.35
34	T.Brown	🇦🇺 AUSTRALIA	49	79.6%	0.27
35	M.Villas-Boas	🇧🇷 BRAZIL	48	79.2%	0.25
36	N.Bocchi	🇮🇹 ITALY	77	79.2%	0.35
37	P.Newell	🇳🇿 NEW ZEALAND	67	79.1%	0.30
38	G.Narkiewicz	🇵🇱 POLAND	52	78.8%	0.31
39	J.Verhees	🇳🇱 NETHERLANDS	47	78.7%	0.23
40	J.Kranyak	🇺🇸 USA1	61	78.7%	0.29
41	A.Allfrey	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	37	78.4%	0.24
42	G.Wolpert	🇺🇸 USA1	46	78.3%	0.22
43	T.Sadek	🇪🇬 EGYPT	59	78.0%	0.30
44	M.Fleisher	🇺🇸 USA2	41	78.0%	0.34
45	M.Ware	🇳🇿 NEW ZEALAND	36	77.8%	0.25
46	R.Levin	🇺🇸 USA1	58	77.6%	0.26
47	I.Syed	🇧🇭 BAHRAIN	85	77.6%	0.27
48	M.Rosenberg	🇺🇸 USA2	67	77.6%	0.28
49	Z.Shi	🇨🇳 CHINA	53	77.4%	0.23
50	H.Shi	🇨🇳 CHINA	53	77.4%	0.28
51	D.Korbel	🇨🇦 CANADA	74	77.0%	0.31
52	J.Campos	🇧🇷 BRAZIL	65	76.9%	0.28
53	F.Fantoni	🇲🇨 MONACO	65	76.9%	0.31
54	K.Jassem	🇵🇱 POLAND	39	76.9%	0.36
55	G.Duboin	🇮🇹 ITALY	47	76.6%	0.28
56	M.Thomson	🇦🇺 AUSTRALIA	55	76.4%	0.26
57	B.Zhang	🇨🇳 CHINA	38	76.3%	0.32
58	A.Sementa	🇮🇹 ITALY	42	76.2%	0.31
59	T.Helness	🇲🇨 MONACO	63	76.2%	0.33
60	S.Weinstein	🇺🇸 USA1	50	76.0%	0.28
61	B.Muller	🇳🇱 NETHERLANDS	50	76.0%	0.28
62	L.Rizzo	🇦🇷 ARGENTINA	58	75.9%	0.29
63	J.George	🇮🇩 INDONESIA	54	75.9%	0.33
64	B.Satyanarayana	🇮🇳 INDIA	66	75.8%	0.30
65	R.Lian	🇨🇳 CHINA	57	75.4%	0.25
66	S.De Wijs	🇳🇱 NETHERLANDS	61	75.4%	0.29
67	H.Kaku	🇯🇵 JAPAN	69	75.4%	0.35
68	A.Bach	🇳🇿 NEW ZEALAND	32	75.0%	0.28
69	A.Versace	🇮🇹 ITALY	59	74.6%	0.30
70	G.Chagas	🇧🇷 BRAZIL	54	74.1%	0.30
71	Z.Mahmood	🇺🇸 USA2	65	73.8%	0.29
72	A.Saaid	🇪🇬 EGYPT	42	73.8%	0.31
73	M.Kamil	🇺🇸 USA2	38	73.7%	0.34
74	P.Lambardi	🇦🇷 ARGENTINA	63	73.0%	0.38
75	F.Karwur	🇮🇩 INDONESIA	92	72.8%	0.34
76	T.Maci	🇧🇭 BAHRAIN	92	72.8%	0.40
77	D.Chen	🇯🇵 JAPAN	58	72.4%	0.29
78	J.Fritsche	🇩🇪 GERMANY	65	72.3%	0.31
79	K.Nadar	🇮🇳 INDIA	47	72.3%	0.40
80	M.Gromoeller	🇩🇪 GERMANY	50	72.0%	0.34
81	M.Nonoo	🇧🇭 BAHRAIN	85	71.8%	0.35
82	A.Samir	🇪🇬 EGYPT	46	71.7%	0.30
83	C.Ho	🇹🇼 CHINESE TAIPEI	46	71.7%	0.33
84	T.Asbi	🇮🇩 INDONESIA	74	71.6%	0.35
85	C.Bosenberg	🇿🇦 SOUTH AFRICA	74	71.6%	0.35
86	S.Noshy	🇪🇬 EGYPT	63	71.4%	0.35
87	K.Nabil	🇪🇬 EGYPT	42	71.4%	0.36
88	D.Bakhshi	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	63	71.4%	0.40
89	M.Reid	🇳🇿 NEW ZEALAND	52	71.2%	0.33
90	J.Huang	🇹🇼 CHINESE TAIPEI	65	70.8%	0.40
91	D.Gerin	🇬🇵 GUADELOUPE	75	70.7%	0.35
92	R.Van Prooijen	🇳🇱 NETHERLANDS	44	70.5%	0.32
93	A.Hussein	🇪🇬 EGYPT	71	70.4%	0.41
94	T.Townsend	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	40	70.0%	0.30
95	P.Balakrishnan	🇮🇳 INDIA	43	69.8%	0.40
96	A.Apteker	🇿🇦 SOUTH AFRICA	76	69.7%	0.34
97	M.Cornell	🇳🇿 NEW ZEALAND	66	69.7%	0.36
98	R.Krochmalik	🇦🇺 AUSTRALIA	56	69.6%	0.32
99	L.Soudan	🇬🇵 GUADELOUPE	62	69.4%	0.32
100	C.Martel	🇺🇸 USA2	65	69.2%	0.37
101	P.Zimmermann	🇲🇨 MONACO	45	68.9%	0.40
102	A.Kanetkar	🇦🇺 AUSTRALIA	70	68.6%	0.36
103	N.Eber	🇿🇦 SOUTH AFRICA	98	68.4%	0.43
104	M.Rehder	🇩🇪 GERMANY	44	68.2%	0.34
105	T.Forrester	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	69	68.1%	0.36
106	J.Gartaganis	🇨🇦 CANADA	53	67.9%	0.34
107	G.Tislevoll	🇳🇿 NEW ZEALAND	71	67.6%	0.51
108	G.Bilski	🇦🇺 AUSTRALIA	52	67.3%	0.39
109	R.Tewari	🇮🇳 INDIA	49	67.3%	0.41
110	K.Venkataraman	🇮🇳 INDIA	55	67.3%	0.46
111	P.Brum	🇧🇷 BRAZIL	58	67.2%	0.33
112	K.Dwyer	🇺🇸 USA1	61	67.2%	0.43
113	C.Ju	🇨🇳 CHINA	82	67.1%	0.35
114	W.Basiony	🇧🇭 BAHRAIN	73	67.1%	0.42
115	M.Mazurkiewicz	🇵🇱 POLAND	48	66.7%	0.42
116	J.Ho	🇹🇼 CHINESE TAIPEI	59	66.1%	0.46
117	P.Lavings	🇦🇺 AUSTRALIA	59	66.1%	0.49
118	D.Brenner	🇧🇷 BRAZIL	67	65.7%	0.54
119	A.Chao	🇹🇼 CHINESE TAIPEI	63	65.1%	0.43
120	J.Smith	🇨🇦 CANADA	71	64.8%	0.44
121	P.Ravenna	🇦🇷 ARGENTINA	48	64.6%	0.50
122	R.Chen	🇹🇼 CHINESE TAIPEI	56	64.3%	0.52
123	A.Kempczynski	🇬🇵 GUADELOUPE	47	63.8%	0.45
124	D.Wolpert	🇨🇦 CANADA	74	63.5%	0.54
125	R.Aragones	🇬🇵 GUADELOUPE	24	62.5%	0.50
126	C.Pellegrini	🇦🇷 ARGENTINA	69	58.0%	0.51
127	D.Sacul	🇮🇩 INDONESIA	24	79.2%	0.25
128	T.Shafeea	🇧🇭 BAHRAIN	4	75.0%	0.75

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	J.Piekarek	🇩🇪 GERMANY	131	96.9%	0.03
2	A.Smirnov	🇩🇪 GERMANY	131	96.9%	0.03
3	C.Balicki	🇵🇱 POLAND	142	95.8%	0.04
4	A.Zmudzinski	🇵🇱 POLAND	142	95.8%	0.04
5	N.Bocchi	🇮🇹 ITALY	120	95.8%	0.07
6	A.Madala	🇮🇹 ITALY	120	95.8%	0.07
7	G.Duboin	🇮🇹 ITALY	101	95.0%	0.06
8	A.Sementa	🇮🇹 ITALY	101	95.0%	0.06
9	R.Lian	🇨🇳 CHINA	113	94.7%	0.06
10	H.Shi	🇨🇳 CHINA	113	94.7%	0.06
11	G.Helgemo	🇲🇨 MONACO	130	94.6%	0.05
12	T.Helness	🇲🇨 MONACO	130	94.6%	0.05
13	D.Gold	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	137	94.2%	0.07
14	T.Forrester	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	140	93.6%	0.06
15	H.Camberos	🇦🇷 ARGENTINA	101	92.1%	0.09
16	K.Buras	🇵🇱 POLAND	111	91.9%	0.10
17	G.Narkiewicz	🇵🇱 POLAND	111	91.9%	0.10
18	S.Brink	🇳🇱 NETHERLANDS	146	91.8%	0.11
19	B.Drijver	🇳🇱 NETHERLANDS	146	91.8%	0.11
20	F.Fantoni	🇲🇨 MONACO	117	91.5%	0.09
21	C.Nunes	🇲🇨 MONACO	117	91.5%	0.09
22	P.Lambardi	🇦🇷 ARGENTINA	130	91.5%	0.13
23	L.Rizzo	🇦🇷 ARGENTINA	130	91.5%	0.13
24	C.Pellegrini	🇦🇷 ARGENTINA	112	91.1%	0.10
25	J.Fritsche	🇩🇪 GERMANY	100	91.0%	0.10
26	R.Rohowsky	🇩🇪 GERMANY	100	91.0%	0.10
27	D.Bakhshi	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	118	90.7%	0.11
28	J.Pelletier	🇬🇵 GUADELOUPE	107	90.7%	0.16
29	M.Rosenberg	🇺🇸 USA2	138	90.6%	0.09
30	C.Willenken	🇺🇸 USA2	138	90.6%	0.09
31	D.Brenner	🇧🇷 BRAZIL	104	90.4%	0.12
32	M.Toma	🇧🇷 BRAZIL	104	90.4%	0.12
33	R.Levin	🇺🇸 USA1	114	90.4%	0.12
34	S.Weinstein	🇺🇸 USA1	114	90.4%	0.12
35	A.Robson	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	113	90.3%	0.10
36	A.Kempczynski	🇬🇵 GUADELOUPE	121	90.1%	0.15
37	A.Allfrey	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	60	90.0%	0.10
38	D.Korbel	🇨🇦 CANADA	138	89.9%	0.12
39	D.Wolpert	🇨🇦 CANADA	138	89.9%	0.12
40	P.Mathieu	🇬🇵 GUADELOUPE	128	89.8%	0.15
41	T.Townsend	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	68	89.7%	0.12
42	J.Kranyak	🇺🇸 USA1	116	89.7%	0.12
43	G.Wolpert	🇺🇸 USA1	116	89.7%	0.12
44	L.Lauria	🇮🇹 ITALY	106	89.6%	0.11
45	A.Versace	🇮🇹 ITALY	106	89.6%	0.11
46	S.De Wijs	🇳🇱 NETHERLANDS	112	89.3%	0.11
47	B.Muller	🇳🇱 NETHERLANDS	112	89.3%	0.11
48	D.Chen	🇯🇵 JAPAN	131	89.3%	0.13
49	K.Furuta	🇯🇵 JAPAN	131	89.3%	0.13
50	J.Smith	🇨🇦 CANADA	98	88.8%	0.11
51	P.Thurston	🇨🇦 CANADA	98	88.8%	0.11
52	D.Gerin	🇬🇵 GUADELOUPE	116	88.8%	0.18
53	A.Saaid	🇪🇬 EGYPT	96	88.5%	0.12
54	T.Asbi	🇮🇩 INDONESIA	189	88.4%	0.13
55	R.Tobing	🇮🇩 INDONESIA	189	88.4%	0.13
56	J.Campos	🇧🇷 BRAZIL	110	88.2%	0.13
57	M.Villas-Boas	🇧🇷 BRAZIL	110	88.2%	0.13
58	S.Chokshi	🇮🇳 INDIA	92	88.0%	0.13
59	B.Satyanarayana	🇮🇳 INDIA	125	88.0%	0.16
60	K.Venkataraman	🇮🇳 INDIA	99	87.9%	0.13
61	J.Ho	🇹🇼 CHINESE TAIPEI	116	87.9%	0.15
62	N.Shen	🇹🇼 CHINESE TAIPEI	116	87.9%	0.15
63	K.Nadar	🇮🇳 INDIA	116	87.9%	0.16
64	C.Bosenberg	🇿🇦 SOUTH AFRICA	164	87.8%	0.13
65	N.Eber	🇿🇦 SOUTH AFRICA	164	87.8%	0.13
66	A.Chao	🇹🇼 CHINESE TAIPEI	115	87.8%	0.17
67	C.Ho	🇹🇼 CHINESE TAIPEI	115	87.8%	0.17
68	K.Bathurst	🇺🇸 USA1	104	87.5%	0.15
69	K.Dwyer	🇺🇸 USA1	104	87.5%	0.15
70	F.Karwur	🇮🇩 INDONESIA	158	87.3%	0.13
71	C.Ju	🇨🇳 CHINA	118	87.3%	0.21
72	Z.Shi	🇨🇳 CHINA	118	87.3%	0.21
73	A.Apteker	🇿🇦 SOUTH AFRICA	170	87.1%	0.16
74	C.Gower	🇿🇦 SOUTH AFRICA	170	87.1%	0.16
75	A.Bach	🇳🇿 NEW ZEALAND	124	87.1%	0.16
76	M.Cornell	🇳🇿 NEW ZEALAND	124	87.1%	0.16
77	F.Multon	🇲🇨 MONACO	77	87.0%	0.13
78	P.Zimmermann	🇲🇨 MONACO	77	87.0%	0.13
79	R.Krochmalik	🇦🇺 AUSTRALIA	92	87.0%	0.16
80	P.Lavings	🇦🇺 AUSTRALIA	92	87.0%	0.16
81	K.Nabil	🇪🇬 EGYPT	114	86.8%	0.16
82	K.Jassem	🇵🇱 POLAND	87	86.2%	0.14
83	M.Mazurkiewicz	🇵🇱 POLAND	87	86.2%	0.14
84	Z.Mahmood	🇺🇸 USA2	109	86.2%	0.18
85	C.Martel	🇺🇸 USA2	109	86.2%	0.18
86	J.George	🇮🇩 INDONESIA	114	86.0%	0.15
87	R.Tewari	🇮🇳 INDIA	121	86.0%	0.15
88	P.Balakrishnan	🇮🇳 INDIA	105	85.7%	0.15
89	M.Ino	🇯🇵 JAPAN	105	85.7%	0.19
90	T.Teramoto	🇯🇵 JAPAN	105	85.7%	0.19
91	G.Alujas	🇦🇷 ARGENTINA	87	85.1%	0.16
92	P.Newell	🇳🇿 NEW ZEALAND	121	85.1%	0.17
93	M.Reid	🇳🇿 NEW ZEALAND	121	85.1%	0.17
94	G.Tislevoll	🇳🇿 NEW ZEALAND	101	85.1%	0.21
95	M.Ware	🇳🇿 NEW ZEALAND	101	85.1%	0.21
96	A.Hussein	🇪🇬 EGYPT	113	85.0%	0.18
97	M.Fleisher	🇺🇸 USA2	79	84.8%	0.15
98	M.Kamil	🇺🇸 USA2	79	84.8%	0.15
99	S.Noshy	🇪🇬 EGYPT	112	84.8%	0.20
100	P.Ravenna	🇦🇷 ARGENTINA	98	84.7%	0.16
101	A.Samir	🇪🇬 EGYPT	122	84.4%	0.21
102	H.Kaku	🇯🇵 JAPAN	102	84.3%	0.17
103	M.Takayama	🇯🇵 JAPAN	102	84.3%	0.17
104	T.Sadek	🇪🇬 EGYPT	121	84.3%	0.18
105	W.Basiony	🇧🇭 BAHRAIN	171	84.2%	0.19
106	T.Maci	🇧🇭 BAHRAIN	171	84.2%	0.19
107	M.Gromoeller	🇩🇪 GERMANY	112	83.0%	0.19
108	M.Rehder	🇩🇪 GERMANY	112	83.0%	0.19
109	R.Van Prooijen	🇳🇱 NETHERLANDS	81	82.7%	0.21
110	J.Verhees	🇳🇱 NETHERLANDS	81	82.7%	0.21
111	R.Aragones	🇬🇵 GUADELOUPE	84	82.1%	0.19
112	P.Brum	🇧🇷 BRAZIL	111	82.0%	0.26
113	G.Chagas	🇧🇷 BRAZIL	111	82.0%	0.26
114	G.Bilski	🇦🇺 AUSTRALIA	105	81.9%	0.19
115	T.Brown	🇦🇺 AUSTRALIA	105	81.9%	0.19
116	R.Chen	🇹🇼 CHINESE TAIPEI	102	81.4%	0.23
117	J.Huang	🇹🇼 CHINESE TAIPEI	102	81.4%	0.23
118	A.Kanetkar	🇦🇺 AUSTRALIA	129	81.4%	0.23
119	M.Thomson	🇦🇺 AUSTRALIA	129	81.4%	0.23
120	W.Wang	🇨🇳 CHINA	112	81.2%	0.22
121	B.Zhang	🇨🇳 CHINA	112	81.2%	0.22
122	L.Soudan	🇬🇵 GUADELOUPE	100	81.0%	0.21
123	J.Gartaganis	🇨🇦 CANADA	82	80.5%	0.27
124	N.Gartaganis	🇨🇦 CANADA	82	80.5%	0.27
125	M.Nonoo	🇧🇭 BAHRAIN	153	80.4%	0.27
126	I.Syed	🇧🇭 BAHRAIN	161	80.1%	0.27
127	D.Sacul	🇮🇩 INDONESIA	44	90.9%	0.09
128	T.Shafeea	🇧🇭 BAHRAIN	8	75.0%	0.25

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.Levin	🇺🇸 USA1	224	+0.06	+0.93	+0.99	▲2
2	S.Weinstein	🇺🇸 USA1	224	+0.06	+0.93	+0.99	▲2
3	F.Fantoni	🇲🇨 MONACO	256	+0.01	+0.96	+0.97	▼2
4	C.Nunes	🇲🇨 MONACO	256	+0.01	+0.96	+0.97	▼2
5	N.Bocchi	🇮🇹 ITALY	256	+0.05	+0.83	+0.87	·
6	A.Madala	🇮🇹 ITALY	256	+0.05	+0.83	+0.87	·
7	J.Kranyak	🇺🇸 USA1	224	+0.02	+0.73	+0.75	·
8	G.Wolpert	🇺🇸 USA1	224	+0.02	+0.73	+0.75	·
9	K.Buras	🇵🇱 POLAND	240	+0.07	+0.67	+0.74	·
10	G.Narkiewicz	🇵🇱 POLAND	240	+0.07	+0.67	+0.74	·
11	S.De Wijs	🇳🇱 NETHERLANDS	224	-0.01	+0.67	+0.67	·
12	B.Muller	🇳🇱 NETHERLANDS	224	-0.01	+0.67	+0.67	·
13	G.Helgemo	🇲🇨 MONACO	256	-0.00	+0.62	+0.62	·
14	T.Helness	🇲🇨 MONACO	256	-0.00	+0.62	+0.62	·
15	J.Piekarek	🇩🇪 GERMANY	240	+0.05	+0.54	+0.58	▲2
16	A.Smirnov	🇩🇪 GERMANY	240	+0.05	+0.54	+0.58	▲2
17	S.Brink	🇳🇱 NETHERLANDS	272	+0.13	+0.45	+0.58	▲2
18	B.Drijver	🇳🇱 NETHERLANDS	272	+0.13	+0.45	+0.58	▲2
19	L.Lauria	🇮🇹 ITALY	224	-0.03	+0.56	+0.53	▼4
20	A.Versace	🇮🇹 ITALY	224	-0.03	+0.56	+0.53	▼4
21	D.Bakhshi	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	256	+0.09	+0.34	+0.42	▲4
22	D.Chen	🇯🇵 JAPAN	240	+0.15	+0.27	+0.41	▲13
23	K.Furuta	🇯🇵 JAPAN	240	+0.15	+0.27	+0.41	▲13
24	R.Lian	🇨🇳 CHINA	224	+0.06	+0.33	+0.40	▲2
25	H.Shi	🇨🇳 CHINA	224	+0.06	+0.33	+0.40	▲2
26	C.Balicki	🇵🇱 POLAND	256	-0.06	+0.43	+0.37	▼5
27	A.Zmudzinski	🇵🇱 POLAND	256	-0.06	+0.43	+0.37	▼5
28	T.Forrester	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	272	+0.06	+0.29	+0.34	▲6
29	T.Townsend	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	144	+0.02	+0.30	+0.32	▲4
30	D.Gold	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	272	+0.09	+0.22	+0.31	▲15
31	M.Rosenberg	🇺🇸 USA2	272	+0.08	+0.23	+0.31	▲12
32	C.Willenken	🇺🇸 USA2	272	+0.08	+0.23	+0.31	▲12
33	Z.Mahmood	🇺🇸 USA2	240	-0.06	+0.34	+0.29	▼10
34	C.Martel	🇺🇸 USA2	240	-0.06	+0.34	+0.29	▼10
35	D.Korbel	🇨🇦 CANADA	288	-0.03	+0.31	+0.28	▼4
36	D.Wolpert	🇨🇦 CANADA	288	-0.03	+0.31	+0.28	▼4
37	J.Campos	🇧🇷 BRAZIL	224	+0.15	+0.12	+0.27	▲18
38	M.Villas-Boas	🇧🇷 BRAZIL	224	+0.15	+0.12	+0.27	▲18
39	A.Robson	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	256	-0.05	+0.32	+0.27	▼11
40	F.Karwur	🇮🇩 INDONESIA	336	+0.08	+0.18	+0.26	▲12
41	W.Wang	🇨🇳 CHINA	192	+0.15	+0.08	+0.22	▲18
42	B.Zhang	🇨🇳 CHINA	192	+0.15	+0.08	+0.22	▲18
43	J.George	🇮🇩 INDONESIA	240	+0.07	+0.13	+0.20	▲11
44	H.Kaku	🇯🇵 JAPAN	224	-0.00	+0.20	+0.20	▲4
45	M.Takayama	🇯🇵 JAPAN	224	-0.00	+0.20	+0.20	▲4
46	J.Gartaganis	🇨🇦 CANADA	192	-0.03	+0.19	+0.16	▲4
47	N.Gartaganis	🇨🇦 CANADA	192	-0.03	+0.19	+0.16	▲4
48	K.Bathurst	🇺🇸 USA1	224	-0.12	+0.24	+0.12	▼11
49	K.Dwyer	🇺🇸 USA1	224	-0.12	+0.24	+0.12	▼11
50	P.Lambardi	🇦🇷 ARGENTINA	256	-0.13	+0.23	+0.10	▼9
51	L.Rizzo	🇦🇷 ARGENTINA	256	-0.13	+0.23	+0.10	▼9
52	M.Fleisher	🇺🇸 USA2	160	-0.14	+0.23	+0.09	▼13
53	M.Kamil	🇺🇸 USA2	160	-0.14	+0.23	+0.09	▼13
54	A.Bach	🇳🇿 NEW ZEALAND	224	+0.09	-0.00	+0.09	▲17
55	M.Cornell	🇳🇿 NEW ZEALAND	224	+0.09	-0.00	+0.09	▲17
56	C.Ju	🇨🇳 CHINA	256	-0.23	+0.31	+0.09	▼27
57	Z.Shi	🇨🇳 CHINA	256	-0.23	+0.31	+0.09	▼27
58	G.Duboin	🇮🇹 ITALY	192	-0.13	+0.20	+0.07	▼12
59	A.Sementa	🇮🇹 ITALY	192	-0.13	+0.20	+0.07	▼12
60	T.Asbi	🇮🇩 INDONESIA	336	-0.07	+0.11	+0.04	▼3
61	R.Tobing	🇮🇩 INDONESIA	336	-0.07	+0.11	+0.04	▼3
62	A.Allfrey	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	144	-0.15	+0.14	-0.01	▼9
63	J.Fritsche	🇩🇪 GERMANY	224	-0.04	+0.02	-0.02	▲2
64	R.Rohowsky	🇩🇪 GERMANY	224	-0.04	+0.02	-0.02	▲2
65	J.Pelletier	🇬🇵 GUADELOUPE	256	+0.11	-0.14	-0.03	▲16
66	P.Newell	🇳🇿 NEW ZEALAND	240	-0.02	-0.03	-0.04	▲8
67	M.Reid	🇳🇿 NEW ZEALAND	240	-0.02	-0.03	-0.04	▲8
68	M.Ino	🇯🇵 JAPAN	208	-0.07	+0.01	-0.06	▼1
69	T.Teramoto	🇯🇵 JAPAN	208	-0.07	+0.01	-0.06	▼1
70	A.Kanetkar	🇦🇺 AUSTRALIA	256	-0.11	+0.05	-0.06	▼7
71	M.Thomson	🇦🇺 AUSTRALIA	256	-0.11	+0.05	-0.06	▼7
72	J.Smith	🇨🇦 CANADA	192	-0.20	+0.05	-0.14	▼11
73	P.Thurston	🇨🇦 CANADA	192	-0.20	+0.05	-0.14	▼11
74	K.Jassem	🇵🇱 POLAND	176	-0.03	-0.13	-0.16	▲5
75	M.Mazurkiewicz	🇵🇱 POLAND	176	-0.03	-0.13	-0.16	▲5
76	C.Pellegrini	🇦🇷 ARGENTINA	240	-0.16	-0.01	-0.17	▼3
77	D.Brenner	🇧🇷 BRAZIL	224	-0.07	-0.13	-0.19	·
78	M.Toma	🇧🇷 BRAZIL	224	-0.07	-0.13	-0.19	·
79	F.Multon	🇲🇨 MONACO	160	-0.19	-0.00	-0.19	▼10
80	P.Zimmermann	🇲🇨 MONACO	160	-0.19	-0.00	-0.19	▼10
81	A.Apteker	🇿🇦 SOUTH AFRICA	336	+0.05	-0.24	-0.19	▲3
82	C.Gower	🇿🇦 SOUTH AFRICA	336	+0.05	-0.24	-0.19	▲3
83	R.Tewari	🇮🇳 INDIA	224	+0.13	-0.33	-0.20	▲7
84	R.Krochmalik	🇦🇺 AUSTRALIA	208	+0.20	-0.41	-0.21	▲16
85	P.Lavings	🇦🇺 AUSTRALIA	208	+0.20	-0.41	-0.21	▲16
86	A.Chao	🇹🇼 CHINESE TAIPEI	224	+0.11	-0.32	-0.21	▲2
87	C.Ho	🇹🇼 CHINESE TAIPEI	224	+0.11	-0.32	-0.21	▲2
88	P.Balakrishnan	🇮🇳 INDIA	192	+0.10	-0.32	-0.22	▼1
89	M.Gromoeller	🇩🇪 GERMANY	208	-0.09	-0.14	-0.23	▼7
90	M.Rehder	🇩🇪 GERMANY	208	-0.09	-0.14	-0.23	▼7
91	H.Camberos	🇦🇷 ARGENTINA	224	-0.18	-0.06	-0.24	▼15
92	D.Gerin	🇬🇵 GUADELOUPE	272	+0.11	-0.37	-0.26	▲2
93	C.Bosenberg	🇿🇦 SOUTH AFRICA	336	+0.08	-0.40	-0.31	▲5
94	N.Eber	🇿🇦 SOUTH AFRICA	336	+0.08	-0.40	-0.31	▲5
95	T.Sadek	🇪🇬 EGYPT	256	+0.08	-0.41	-0.33	▲7
96	A.Hussein	🇪🇬 EGYPT	240	+0.02	-0.36	-0.34	▼3
97	A.Saaid	🇪🇬 EGYPT	176	+0.16	-0.52	-0.36	▲10
98	K.Nabil	🇪🇬 EGYPT	208	+0.23	-0.60	-0.37	▲15
99	B.Satyanarayana	🇮🇳 INDIA	240	+0.09	-0.47	-0.37	▲7
100	R.Van Prooijen	🇳🇱 NETHERLANDS	176	+0.00	-0.38	-0.38	▼4
101	J.Verhees	🇳🇱 NETHERLANDS	176	+0.00	-0.38	-0.38	▼4
102	G.Tislevoll	🇳🇿 NEW ZEALAND	208	-0.01	-0.41	-0.42	▲1
103	M.Ware	🇳🇿 NEW ZEALAND	208	-0.01	-0.41	-0.42	▲1
104	P.Brum	🇧🇷 BRAZIL	224	-0.12	-0.34	-0.46	▼13
105	G.Chagas	🇧🇷 BRAZIL	224	-0.12	-0.34	-0.46	▼13
106	A.Kempczynski	🇬🇵 GUADELOUPE	224	-0.22	-0.26	-0.47	▼20
107	S.Chokshi	🇮🇳 INDIA	224	-0.07	-0.44	-0.51	▼2
108	P.Mathieu	🇬🇵 GUADELOUPE	240	-0.14	-0.37	-0.51	▼13
109	K.Nadar	🇮🇳 INDIA	224	+0.07	-0.61	-0.55	▲5
110	P.Ravenna	🇦🇷 ARGENTINA	192	+0.21	-0.79	-0.58	▲9
111	W.Basiony	🇧🇭 BAHRAIN	336	-0.03	-0.55	-0.58	▼3
112	T.Maci	🇧🇭 BAHRAIN	336	-0.03	-0.55	-0.58	▼3
113	K.Venkataraman	🇮🇳 INDIA	240	-0.05	-0.58	-0.62	▼3
114	J.Ho	🇹🇼 CHINESE TAIPEI	224	+0.01	-0.67	-0.66	▲1
115	N.Shen	🇹🇼 CHINESE TAIPEI	224	+0.01	-0.67	-0.66	▲1
116	G.Bilski	🇦🇺 AUSTRALIA	208	-0.10	-0.59	-0.69	▼5
117	T.Brown	🇦🇺 AUSTRALIA	208	-0.10	-0.59	-0.69	▼5
118	G.Alujas	🇦🇷 ARGENTINA	176	+0.23	-0.93	-0.70	▲6
119	M.Nonoo	🇧🇭 BAHRAIN	320	+0.10	-0.90	-0.80	▲3
120	A.Samir	🇪🇬 EGYPT	240	-0.11	-0.70	-0.81	▼2
121	S.Noshy	🇪🇬 EGYPT	224	-0.14	-0.68	-0.82	▼4
122	I.Syed	🇧🇭 BAHRAIN	336	+0.07	-0.91	-0.85	▲1
123	R.Chen	🇹🇼 CHINESE TAIPEI	224	-0.19	-0.80	-1.00	▼3
124	J.Huang	🇹🇼 CHINESE TAIPEI	224	-0.19	-0.80	-1.00	▼3
125	R.Aragones	🇬🇵 GUADELOUPE	160	+0.17	-1.22	-1.05	·
126	L.Soudan	🇬🇵 GUADELOUPE	192	+0.23	-1.52	-1.29	·

Stages

Statistics