Lyon 2017 — 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	S.De Wijs	🇳🇱 NETHERLANDS	224	+0.99	+222.0
2	B.Muller	🇳🇱 NETHERLANDS	224	+0.99	+222.0
3	C.Lorenzini	🇫🇷 FRANCE	224	+0.93	+208.0
4	J.Quantin	🇫🇷 FRANCE	224	+0.93	+208.0
5	G.Helgemo	🇲🇨 MONACO	320	+0.78	+248.0
6	J.Grue	🇺🇸 USA2	256	+0.73	+187.0
7	B.Moss	🇺🇸 USA2	256	+0.73	+187.0
8	R.Levin	🇺🇸 USA1	271	+0.69	+186.0
9	S.Weinstein	🇺🇸 USA1	271	+0.69	+186.0
10	S.Auken	🇩🇪 GERMANY	256	+0.66	+170.0
11	R.Welland	🇩🇪 GERMANY	256	+0.66	+170.0
12	G.Chagas	🇧🇷 BRAZIL	288	+0.59	+169.0
13	J.Villas-Boas	🇧🇷 BRAZIL	288	+0.59	+169.0
14	T.Helness	🇲🇨 MONACO	272	+0.58	+157.0
15	M.Heshmat	🇪🇬 EGYPT	192	+0.56	+108.0
16	B.Pascal	🇪🇬 EGYPT	192	+0.56	+108.0
17	A.Goel	🇮🇳 INDIA	160	+0.51	+82.0
18	K.Venkataraman	🇮🇳 INDIA	160	+0.51	+82.0
19	F.Combescure	🇫🇷 FRANCE	224	+0.48	+107.0
20	J.Rombaut	🇫🇷 FRANCE	224	+0.48	+107.0
21	H.Lasut	🇮🇩 INDONESIA	224	+0.46	+103.0
22	E.Manoppo	🇮🇩 INDONESIA	224	+0.46	+103.0
23	G.Karakolev	🇧🇬 BULGARIA	288	+0.45	+129.0
24	V.Mihov	🇧🇬 BULGARIA	288	+0.45	+129.0
25	J.Meckstroth	🇺🇸 USA1	272	+0.39	+107.0
26	E.Rodwell	🇺🇸 USA1	272	+0.39	+107.0
27	J.Linde	🇩🇪 GERMANY	224	+0.38	+84.0
28	C.Schwerdt	🇩🇪 GERMANY	224	+0.38	+84.0
29	P.Hollands	🇦🇺 AUSTRALIA	240	+0.37	+88.0
30	J.Mill	🇦🇺 AUSTRALIA	240	+0.37	+88.0
31	M.Di Franco	🇮🇹 ITALY	288	+0.35	+102.0
32	A.Manno	🇮🇹 ITALY	288	+0.35	+102.0
33	B.Van Den Bos	🇳🇱 NETHERLANDS	224	+0.34	+76.0
34	J.Van Lankveld	🇳🇱 NETHERLANDS	224	+0.34	+76.0
35	J.Sylvan	🇸🇪 SWEDEN	192	+0.33	+63.0
36	F.Wrang	🇸🇪 SWEDEN	192	+0.33	+63.0
37	G.Tislevoll	🇳🇿 NEW ZEALAND	224	+0.33	+73.0
38	M.Ware	🇳🇿 NEW ZEALAND	224	+0.33	+73.0
39	D.Majumder	🇮🇳 INDIA	272	+0.30	+81.0
40	S.Mukherjee	🇮🇳 INDIA	272	+0.30	+81.0
41	J.Dai	🇨🇳 CHINA	224	+0.28	+63.0
42	L.Yang	🇨🇳 CHINA	224	+0.28	+63.0
43	M.Rimstedt	🇸🇪 SWEDEN	223	+0.28	+62.0
44	O.Rimstedt	🇸🇪 SWEDEN	223	+0.28	+62.0
45	K.Martens	🇲🇨 MONACO	224	+0.27	+60.0
46	F.Nystrom	🇸🇪 SWEDEN	256	+0.25	+65.0
47	J.Upmark	🇸🇪 SWEDEN	256	+0.25	+65.0
48	G.Donati	🇮🇹 ITALY	240	+0.23	+54.0
49	A.Gandoglia	🇮🇹 ITALY	240	+0.23	+54.0
50	H.Dagher	🇪🇬 EGYPT	160	+0.19	+30.0
51	O.El Geddawi	🇪🇬 EGYPT	160	+0.19	+30.0
52	I.Nanev	🇧🇬 BULGARIA	271	+0.18	+50.0
53	J.Stefanov	🇧🇬 BULGARIA	271	+0.18	+50.0
54	C.Lucena	🇦🇷 ARGENTINA	288	+0.18	+52.0
55	C.Pellegrini	🇦🇷 ARGENTINA	288	+0.18	+52.0
56	L.Chen	🇹🇼 CHINESE TAIPEI	224	+0.15	+34.0
57	E.Yeh	🇹🇼 CHINESE TAIPEI	224	+0.15	+34.0
58	Y.Chen	🇨🇳 CHINA	224	+0.12	+28.0
59	J.Zhao	🇨🇳 CHINA	224	+0.12	+28.0
60	B.Drijver	🇳🇱 NETHERLANDS	224	+0.07	+15.0
61	B.Nab	🇳🇱 NETHERLANDS	224	+0.07	+15.0
62	A.Bach	🇳🇿 NEW ZEALAND	224	+0.04	+10.0
63	M.Cornell	🇳🇿 NEW ZEALAND	224	+0.04	+10.0
64	J.Pszczola	🇺🇸 USA2	224	-0.01	-3.0
65	M.Rosenberg	🇺🇸 USA2	224	-0.01	-3.0
66	M.Fleisher	🇺🇸 USA2	192	-0.02	-3.0
67	C.Martel	🇺🇸 USA2	192	-0.02	-3.0
68	J.Li	🇨🇳 CHINA	224	-0.04	-9.0
69	B.Zhang	🇨🇳 CHINA	224	-0.04	-9.0
70	J.Chung	🇹🇼 CHINESE TAIPEI	224	-0.06	-13.0
71	H.Liu	🇹🇼 CHINESE TAIPEI	224	-0.06	-13.0
72	A.Apteker	🇿🇦 SOUTH AFRICA	240	-0.06	-14.0
73	C.Gower	🇿🇦 SOUTH AFRICA	240	-0.06	-14.0
74	F.Karwur	🇮🇩 INDONESIA	224	-0.07	-15.0
75	D.Sacul	🇮🇩 INDONESIA	224	-0.07	-15.0
76	B.Donde	🇿🇦 SOUTH AFRICA	192	-0.12	-24.0
77	R.Stephens	🇿🇦 SOUTH AFRICA	192	-0.12	-24.0
78	P.Mathieu	🇬🇵 GUADELOUPE	256	-0.18	-46.0
79	L.Soudan	🇬🇵 GUADELOUPE	256	-0.18	-46.0
80	M.Ispahani	🇧🇩 BANGLADESH	224	-0.21	-47.0
81	KAMRUZZAMAN A H M	🇧🇩 BANGLADESH	224	-0.21	-47.0
82	T.Bessis	🇫🇷 FRANCE	224	-0.22	-49.0
83	F.Volcker	🇫🇷 FRANCE	224	-0.22	-49.0
84	P.Ravenna	🇧🇷 BRAZIL	272	-0.23	-63.0
85	M.Thoma	🇧🇷 BRAZIL	272	-0.23	-63.0
86	D.Beauchamp	🇦🇺 AUSTRALIA	224	-0.25	-57.0
87	M.Thomson	🇦🇺 AUSTRALIA	224	-0.25	-57.0
88	R.Aragones	🇬🇵 GUADELOUPE	176	-0.26	-46.0
89	P.Bonnet	🇬🇵 GUADELOUPE	176	-0.26	-46.0
90	H.Camberos	🇦🇷 ARGENTINA	240	-0.28	-67.0
91	E.Muzzio	🇦🇷 ARGENTINA	240	-0.28	-67.0
92	W.El Ahmady	🇪🇬 EGYPT	320	-0.28	-91.0
93	T.Sadek	🇪🇬 EGYPT	320	-0.28	-91.0
94	M.Brown	🇳🇿 NEW ZEALAND	224	-0.33	-75.0
95	M.Whibley	🇳🇿 NEW ZEALAND	224	-0.33	-75.0
96	P.Gill	🇦🇺 AUSTRALIA	208	-0.34	-70.0
97	A.Peake	🇦🇺 AUSTRALIA	208	-0.34	-70.0
98	T.Asbi	🇮🇩 INDONESIA	224	-0.41	-92.0
99	R.Tobing	🇮🇩 INDONESIA	224	-0.41	-92.0
100	R.Angeleri	🇦🇷 ARGENTINA	144	-0.45	-65.0
101	R.Poleschi	🇦🇷 ARGENTINA	144	-0.45	-65.0
102	G.Herrera	🇲🇽 MEXICO	336	-0.47	-157.0
103	G.Marshall	🇲🇽 MEXICO	336	-0.47	-157.0
104	P.Sridharan	🇮🇳 INDIA	240	-0.53	-128.0
105	S.Srinivasan	🇮🇳 INDIA	240	-0.53	-128.0
106	D.Yang	🇹🇼 CHINESE TAIPEI	224	-0.58	-131.0
107	S.Yang	🇹🇼 CHINESE TAIPEI	224	-0.58	-131.0
108	D.Gerin	🇬🇵 GUADELOUPE	240	-0.59	-142.0
109	J.Pelletier	🇬🇵 GUADELOUPE	240	-0.59	-142.0
110	M.Chowdhury	🇧🇩 BANGLADESH	256	-0.79	-202.0
111	A.Cohen	🇲🇽 MEXICO	336	-0.80	-270.0
112	M.Reygadas	🇲🇽 MEXICO	336	-0.80	-270.0
113	M.Rahman	🇧🇩 BANGLADESH	224	-0.84	-188.0
114	C.Bosenberg	🇿🇦 SOUTH AFRICA	240	-0.94	-225.0
115	N.Eber	🇿🇦 SOUTH AFRICA	240	-0.94	-225.0
116	S.Haque	🇧🇩 BANGLADESH	224	-0.96	-214.0
117	B.Garozzo	🇮🇹 ITALY	144	-0.97	-139.0
118	F.Masoero	🇮🇹 ITALY	144	-0.97	-139.0
119	M.Ahasan	🇧🇩 BANGLADESH	192	-1.04	-200.0
120	F.Multon	🇲🇨 MONACO	239	-1.26	-300.0
121	P.Zimmermann	🇲🇨 MONACO	175	-1.34	-234.0
122	H.Haeusler	🇩🇪 GERMANY	192	-1.39	-266.0
123	M.Rehder	🇩🇪 GERMANY	192	-1.39	-266.0
124	V.Aronov	🇧🇬 BULGARIA	112	+0.44	+49.0
125	D.Damianova	🇧🇬 BULGARIA	112	+0.44	+49.0
126	J.Allavena	🇲🇨 MONACO	112	+0.31	+35.0
127	R.Katz	🇺🇸 USA1	128	+0.16	+21.0
128	N.Nickell	🇺🇸 USA1	128	+0.16	+21.0
129	L.De Carvalho	🇧🇷 BRAZIL	112	-1.36	-152.0
130	R.Dias	🇧🇷 BRAZIL	112	-1.36	-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	E.Muzzio	🇦🇷 ARGENTINA	32	93.8%	0.16
2	G.Donati	🇮🇹 ITALY	52	92.3%	0.08
3	F.Multon	🇲🇨 MONACO	21	90.5%	0.14
4	E.Rodwell	🇺🇸 USA1	56	89.3%	0.11
5	N.Eber	🇿🇦 SOUTH AFRICA	37	89.2%	0.11
6	A.Bach	🇳🇿 NEW ZEALAND	46	89.1%	0.11
7	R.Aragones	🇬🇵 GUADELOUPE	45	88.9%	0.11
8	G.Chagas	🇧🇷 BRAZIL	27	88.9%	0.18
9	S.Srinivasan	🇮🇳 INDIA	44	88.6%	0.16
10	J.Li	🇨🇳 CHINA	60	88.3%	0.13
11	J.Dai	🇨🇳 CHINA	34	88.2%	0.15
12	F.Karwur	🇮🇩 INDONESIA	49	87.8%	0.14
13	J.Mill	🇦🇺 AUSTRALIA	73	87.7%	0.14
14	H.Dagher	🇪🇬 EGYPT	16	87.5%	0.12
15	T.Bessis	🇫🇷 FRANCE	56	87.5%	0.14
16	F.Nystrom	🇸🇪 SWEDEN	63	87.3%	0.14
17	J.Pszczola	🇺🇸 USA2	55	87.3%	0.18
18	G.Helgemo	🇲🇨 MONACO	70	87.1%	0.13
19	F.Volcker	🇫🇷 FRANCE	54	87.0%	0.18
20	C.Martel	🇺🇸 USA2	46	87.0%	0.20
21	P.Hollands	🇦🇺 AUSTRALIA	45	86.7%	0.13
22	M.Ispahani	🇧🇩 BANGLADESH	67	86.6%	0.18
23	G.Herrera	🇲🇽 MEXICO	73	86.3%	0.18
24	M.Thoma	🇧🇷 BRAZIL	58	86.2%	0.14
25	R.Stephens	🇿🇦 SOUTH AFRICA	36	86.1%	0.14
26	R.Levin	🇺🇸 USA1	50	86.0%	0.16
27	L.Yang	🇨🇳 CHINA	71	85.9%	0.14
28	M.Whibley	🇳🇿 NEW ZEALAND	64	85.9%	0.19
29	S.Haque	🇧🇩 BANGLADESH	49	85.7%	0.16
30	S.Yang	🇹🇼 CHINESE TAIPEI	42	85.7%	0.17
31	D.Sacul	🇮🇩 INDONESIA	76	85.5%	0.16
32	A.Manno	🇮🇹 ITALY	69	85.5%	0.16
33	J.Sylvan	🇸🇪 SWEDEN	41	85.4%	0.15
34	O.Rimstedt	🇸🇪 SWEDEN	48	85.4%	0.19
35	E.Yeh	🇹🇼 CHINESE TAIPEI	47	85.1%	0.19
36	J.Quantin	🇫🇷 FRANCE	80	85.0%	0.15
37	M.Rosenberg	🇺🇸 USA2	60	85.0%	0.17
38	V.Mihov	🇧🇬 BULGARIA	60	85.0%	0.17
39	B.Nab	🇳🇱 NETHERLANDS	53	84.9%	0.21
40	R.Tobing	🇮🇩 INDONESIA	46	84.8%	0.17
41	S.Auken	🇩🇪 GERMANY	72	84.7%	0.15
42	M.Brown	🇳🇿 NEW ZEALAND	39	84.6%	0.15
43	M.Thomson	🇦🇺 AUSTRALIA	71	84.5%	0.17
44	H.Lasut	🇮🇩 INDONESIA	58	84.5%	0.17
45	J.Meckstroth	🇺🇸 USA1	71	84.5%	0.18
46	T.Sadek	🇪🇬 EGYPT	96	84.4%	0.21
47	D.Gerin	🇬🇵 GUADELOUPE	50	84.0%	0.16
48	W.El Ahmady	🇪🇬 EGYPT	43	83.7%	0.19
49	B.Van Den Bos	🇳🇱 NETHERLANDS	61	83.6%	0.18
50	A.Cohen	🇲🇽 MEXICO	67	83.6%	0.19
51	A.Peake	🇦🇺 AUSTRALIA	55	83.6%	0.22
52	C.Gower	🇿🇦 SOUTH AFRICA	55	83.6%	0.22
53	D.Majumder	🇮🇳 INDIA	48	83.3%	0.19
54	M.Rimstedt	🇸🇪 SWEDEN	60	83.3%	0.25
55	A.Apteker	🇿🇦 SOUTH AFRICA	64	82.8%	0.23
56	B.Muller	🇳🇱 NETHERLANDS	69	82.6%	0.23
57	T.Helness	🇲🇨 MONACO	63	82.5%	0.21
58	M.Heshmat	🇪🇬 EGYPT	51	82.4%	0.22
59	M.Ahasan	🇧🇩 BANGLADESH	51	82.4%	0.22
60	M.Cornell	🇳🇿 NEW ZEALAND	62	82.3%	0.21
61	D.Yang	🇹🇼 CHINESE TAIPEI	62	82.3%	0.21
62	J.Van Lankveld	🇳🇱 NETHERLANDS	39	82.1%	0.20
63	P.Bonnet	🇬🇵 GUADELOUPE	50	82.0%	0.20
64	P.Sridharan	🇮🇳 INDIA	83	81.9%	0.20
65	L.Soudan	🇬🇵 GUADELOUPE	77	81.8%	0.20
66	J.Rombaut	🇫🇷 FRANCE	66	81.8%	0.21
67	D.Beauchamp	🇦🇺 AUSTRALIA	44	81.8%	0.27
68	B.Zhang	🇨🇳 CHINA	49	81.6%	0.22
69	M.Ware	🇳🇿 NEW ZEALAND	54	81.5%	0.18
70	A.Gandoglia	🇮🇹 ITALY	54	81.5%	0.18
71	I.Nanev	🇧🇬 BULGARIA	70	81.4%	0.21
72	M.Rehder	🇩🇪 GERMANY	37	81.1%	0.19
73	T.Asbi	🇮🇩 INDONESIA	57	80.7%	0.23
74	R.Angeleri	🇦🇷 ARGENTINA	31	80.6%	0.19
75	P.Gill	🇦🇺 AUSTRALIA	51	80.4%	0.22
76	K.Martens	🇲🇨 MONACO	46	80.4%	0.28
77	J.Upmark	🇸🇪 SWEDEN	71	80.3%	0.20
78	B.Donde	🇿🇦 SOUTH AFRICA	61	80.3%	0.20
79	O.El Geddawi	🇪🇬 EGYPT	60	80.0%	0.20
80	L.Chen	🇹🇼 CHINESE TAIPEI	65	80.0%	0.21
81	J.Stefanov	🇧🇬 BULGARIA	64	79.7%	0.20
82	J.Villas-Boas	🇧🇷 BRAZIL	118	79.7%	0.24
83	J.Grue	🇺🇸 USA2	59	79.7%	0.25
84	H.Haeusler	🇩🇪 GERMANY	54	79.6%	0.24
85	S.De Wijs	🇳🇱 NETHERLANDS	49	79.6%	0.27
86	M.Chowdhury	🇧🇩 BANGLADESH	77	79.2%	0.25
87	H.Camberos	🇦🇷 ARGENTINA	100	79.0%	0.23
88	B.Moss	🇺🇸 USA2	76	78.9%	0.22
89	M.Reygadas	🇲🇽 MEXICO	122	78.7%	0.21
90	P.Mathieu	🇬🇵 GUADELOUPE	56	78.6%	0.25
91	F.Combescure	🇫🇷 FRANCE	51	78.4%	0.26
92	C.Lucena	🇦🇷 ARGENTINA	69	78.3%	0.25
93	B.Pascal	🇪🇬 EGYPT	55	78.2%	0.22
94	S.Weinstein	🇺🇸 USA1	87	78.2%	0.24
95	J.Chung	🇹🇼 CHINESE TAIPEI	55	78.2%	0.27
96	A.Goel	🇮🇳 INDIA	50	78.0%	0.24
97	P.Ravenna	🇧🇷 BRAZIL	68	77.9%	0.22
98	J.Zhao	🇨🇳 CHINA	68	77.9%	0.25
99	G.Karakolev	🇧🇬 BULGARIA	81	77.8%	0.22
100	C.Pellegrini	🇦🇷 ARGENTINA	72	77.8%	0.29
101	R.Welland	🇩🇪 GERMANY	54	77.8%	0.32
102	G.Marshall	🇲🇽 MEXICO	98	77.6%	0.27
103	M.Fleisher	🇺🇸 USA2	40	77.5%	0.23
104	S.Mukherjee	🇮🇳 INDIA	89	77.5%	0.32
105	F.Wrang	🇸🇪 SWEDEN	53	77.4%	0.24
106	F.Masoero	🇮🇹 ITALY	35	77.1%	0.26
107	J.Pelletier	🇬🇵 GUADELOUPE	60	76.7%	0.32
108	K.Venkataraman	🇮🇳 INDIA	34	76.5%	0.29
109	B.Drijver	🇳🇱 NETHERLANDS	59	76.3%	0.27
110	M.Di Franco	🇮🇹 ITALY	75	76.0%	0.25
111	M.Rahman	🇧🇩 BANGLADESH	62	75.8%	0.27
112	C.Bosenberg	🇿🇦 SOUTH AFRICA	78	75.6%	0.29
113	J.Linde	🇩🇪 GERMANY	61	75.4%	0.25
114	C.Schwerdt	🇩🇪 GERMANY	56	75.0%	0.30
115	H.Liu	🇹🇼 CHINESE TAIPEI	72	75.0%	0.38
116	KAMRUZZAMAN A H M	🇧🇩 BANGLADESH	43	74.4%	0.26
117	C.Lorenzini	🇫🇷 FRANCE	42	73.8%	0.29
118	P.Zimmermann	🇲🇨 MONACO	61	73.8%	0.29
119	E.Manoppo	🇮🇩 INDONESIA	64	73.4%	0.33
120	B.Garozzo	🇮🇹 ITALY	33	72.7%	0.27
121	Y.Chen	🇨🇳 CHINA	36	72.2%	0.39
122	G.Tislevoll	🇳🇿 NEW ZEALAND	55	70.9%	0.31
123	R.Poleschi	🇦🇷 ARGENTINA	41	70.7%	0.32
124	V.Aronov	🇧🇬 BULGARIA	19	84.2%	0.16
125	R.Katz	🇺🇸 USA1	35	82.9%	0.17
126	L.De Carvalho	🇧🇷 BRAZIL	21	81.0%	0.24
127	D.Damianova	🇧🇬 BULGARIA	33	78.8%	0.30
128	J.Allavena	🇲🇨 MONACO	44	77.3%	0.25
129	N.Nickell	🇺🇸 USA1	39	69.2%	0.41
130	R.Dias	🇧🇷 BRAZIL	31	67.7%	0.48

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	C.Lorenzini	🇫🇷 FRANCE	36	88.9%	0.17
2	T.Sadek	🇪🇬 EGYPT	43	88.4%	0.12
3	C.Lucena	🇦🇷 ARGENTINA	66	87.9%	0.15
4	M.Ispahani	🇧🇩 BANGLADESH	63	87.3%	0.16
5	J.Grue	🇺🇸 USA2	53	86.8%	0.19
6	F.Masoero	🇮🇹 ITALY	44	86.4%	0.14
7	B.Donde	🇿🇦 SOUTH AFRICA	57	86.0%	0.21
8	R.Tobing	🇮🇩 INDONESIA	61	85.2%	0.15
9	M.Ahasan	🇧🇩 BANGLADESH	33	84.8%	0.18
10	S.Auken	🇩🇪 GERMANY	59	84.7%	0.19
11	F.Nystrom	🇸🇪 SWEDEN	57	84.2%	0.21
12	E.Rodwell	🇺🇸 USA1	81	84.0%	0.20
13	G.Helgemo	🇲🇨 MONACO	68	83.8%	0.21
14	J.Li	🇨🇳 CHINA	68	83.8%	0.21
15	L.Yang	🇨🇳 CHINA	65	83.1%	0.20
16	C.Schwerdt	🇩🇪 GERMANY	46	82.6%	0.28
17	B.Moss	🇺🇸 USA2	68	82.4%	0.19
18	E.Muzzio	🇦🇷 ARGENTINA	62	82.3%	0.21
19	J.Villas-Boas	🇧🇷 BRAZIL	67	82.1%	0.19
20	J.Van Lankveld	🇳🇱 NETHERLANDS	56	82.1%	0.20
21	M.Thoma	🇧🇷 BRAZIL	72	81.9%	0.25
22	E.Yeh	🇹🇼 CHINESE TAIPEI	55	81.8%	0.22
23	B.Van Den Bos	🇳🇱 NETHERLANDS	66	81.8%	0.23
24	P.Gill	🇦🇺 AUSTRALIA	55	81.8%	0.26
25	G.Donati	🇮🇹 ITALY	54	81.5%	0.22
26	B.Pascal	🇪🇬 EGYPT	43	81.4%	0.37
27	R.Poleschi	🇦🇷 ARGENTINA	37	81.1%	0.22
28	P.Ravenna	🇧🇷 BRAZIL	74	81.1%	0.24
29	J.Zhao	🇨🇳 CHINA	63	81.0%	0.22
30	J.Quantin	🇫🇷 FRANCE	63	81.0%	0.24
31	B.Nab	🇳🇱 NETHERLANDS	47	80.9%	0.23
32	V.Mihov	🇧🇬 BULGARIA	57	80.7%	0.23
33	M.Fleisher	🇺🇸 USA2	51	80.4%	0.22
34	S.Haque	🇧🇩 BANGLADESH	51	80.4%	0.26
35	F.Multon	🇲🇨 MONACO	97	80.4%	0.30
36	R.Levin	🇺🇸 USA1	66	80.3%	0.21
37	D.Gerin	🇬🇵 GUADELOUPE	66	80.3%	0.29
38	J.Stefanov	🇧🇬 BULGARIA	81	80.2%	0.23
39	J.Chung	🇹🇼 CHINESE TAIPEI	45	80.0%	0.22
40	KAMRUZZAMAN A H M	🇧🇩 BANGLADESH	50	80.0%	0.24
41	G.Chagas	🇧🇷 BRAZIL	74	79.7%	0.24
42	S.Yang	🇹🇼 CHINESE TAIPEI	39	79.5%	0.20
43	J.Mill	🇦🇺 AUSTRALIA	63	79.4%	0.22
44	J.Rombaut	🇫🇷 FRANCE	63	79.4%	0.24
45	G.Herrera	🇲🇽 MEXICO	107	79.4%	0.25
46	M.Rimstedt	🇸🇪 SWEDEN	53	79.2%	0.24
47	O.Rimstedt	🇸🇪 SWEDEN	62	79.0%	0.24
48	R.Stephens	🇿🇦 SOUTH AFRICA	38	78.9%	0.21
49	L.Chen	🇹🇼 CHINESE TAIPEI	57	78.9%	0.28
50	D.Yang	🇹🇼 CHINESE TAIPEI	80	78.8%	0.26
51	P.Mathieu	🇬🇵 GUADELOUPE	47	78.7%	0.23
52	J.Pszczola	🇺🇸 USA2	56	78.6%	0.25
53	F.Wrang	🇸🇪 SWEDEN	42	78.6%	0.26
54	J.Linde	🇩🇪 GERMANY	60	78.3%	0.22
55	B.Muller	🇳🇱 NETHERLANDS	60	78.3%	0.23
56	J.Meckstroth	🇺🇸 USA1	64	78.1%	0.30
57	K.Martens	🇲🇨 MONACO	82	78.0%	0.27
58	P.Hollands	🇦🇺 AUSTRALIA	59	78.0%	0.27
59	M.Whibley	🇳🇿 NEW ZEALAND	77	77.9%	0.29
60	C.Gower	🇿🇦 SOUTH AFRICA	67	77.6%	0.25
61	M.Reygadas	🇲🇽 MEXICO	84	77.4%	0.26
62	S.Mukherjee	🇮🇳 INDIA	53	77.4%	0.30
63	A.Bach	🇳🇿 NEW ZEALAND	57	77.2%	0.28
64	F.Volcker	🇫🇷 FRANCE	48	77.1%	0.27
65	A.Apteker	🇿🇦 SOUTH AFRICA	52	76.9%	0.23
66	B.Drijver	🇳🇱 NETHERLANDS	64	76.6%	0.30
67	B.Zhang	🇨🇳 CHINA	47	76.6%	0.34
68	S.Srinivasan	🇮🇳 INDIA	47	76.6%	0.34
69	Y.Chen	🇨🇳 CHINA	55	76.4%	0.31
70	G.Tislevoll	🇳🇿 NEW ZEALAND	63	76.2%	0.27
71	M.Heshmat	🇪🇬 EGYPT	42	76.2%	0.29
72	C.Bosenberg	🇿🇦 SOUTH AFRICA	25	76.0%	0.32
73	C.Martel	🇺🇸 USA2	54	75.9%	0.30
74	A.Goel	🇮🇳 INDIA	37	75.7%	0.35
75	T.Helness	🇲🇨 MONACO	85	75.3%	0.33
76	J.Upmark	🇸🇪 SWEDEN	64	75.0%	0.31
77	R.Angeleri	🇦🇷 ARGENTINA	32	75.0%	0.31
78	T.Bessis	🇫🇷 FRANCE	66	74.2%	0.30
79	C.Pellegrini	🇦🇷 ARGENTINA	81	74.1%	0.31
80	H.Lasut	🇮🇩 INDONESIA	58	74.1%	0.31
81	J.Dai	🇨🇳 CHINA	54	74.1%	0.33
82	W.El Ahmady	🇪🇬 EGYPT	137	73.7%	0.31
83	D.Sacul	🇮🇩 INDONESIA	70	72.9%	0.33
84	M.Rahman	🇧🇩 BANGLADESH	59	72.9%	0.36
85	M.Brown	🇳🇿 NEW ZEALAND	44	72.7%	0.32
86	J.Sylvan	🇸🇪 SWEDEN	55	72.7%	0.33
87	M.Rosenberg	🇺🇸 USA2	51	72.5%	0.35
88	A.Manno	🇮🇹 ITALY	65	72.3%	0.37
89	P.Bonnet	🇬🇵 GUADELOUPE	50	72.0%	0.36
90	S.Weinstein	🇺🇸 USA1	64	71.9%	0.33
91	J.Pelletier	🇬🇵 GUADELOUPE	63	71.4%	0.35
92	M.Di Franco	🇮🇹 ITALY	77	71.4%	0.38
93	I.Nanev	🇧🇬 BULGARIA	56	71.4%	0.41
94	M.Cornell	🇳🇿 NEW ZEALAND	58	70.7%	0.38
95	M.Thomson	🇦🇺 AUSTRALIA	58	70.7%	0.40
96	M.Ware	🇳🇿 NEW ZEALAND	51	70.6%	0.37
97	H.Liu	🇹🇼 CHINESE TAIPEI	51	70.6%	0.41
98	H.Haeusler	🇩🇪 GERMANY	61	70.5%	0.33
99	A.Cohen	🇲🇽 MEXICO	61	70.5%	0.44
100	A.Peake	🇦🇺 AUSTRALIA	47	70.2%	0.40
101	N.Eber	🇿🇦 SOUTH AFRICA	99	69.7%	0.37
102	L.Soudan	🇬🇵 GUADELOUPE	75	69.3%	0.45
103	M.Rehder	🇩🇪 GERMANY	38	68.4%	0.42
104	G.Karakolev	🇧🇬 BULGARIA	88	68.2%	0.39
105	O.El Geddawi	🇪🇬 EGYPT	28	67.9%	0.39
106	D.Majumder	🇮🇳 INDIA	81	67.9%	0.40
107	P.Sridharan	🇮🇳 INDIA	65	67.7%	0.41
108	T.Asbi	🇮🇩 INDONESIA	58	67.2%	0.40
109	M.Chowdhury	🇧🇩 BANGLADESH	64	67.2%	0.41
110	A.Gandoglia	🇮🇹 ITALY	79	67.1%	0.38
111	R.Welland	🇩🇪 GERMANY	70	67.1%	0.41
112	S.De Wijs	🇳🇱 NETHERLANDS	45	66.7%	0.36
113	F.Karwur	🇮🇩 INDONESIA	27	66.7%	0.37
114	H.Dagher	🇪🇬 EGYPT	56	66.1%	0.43
115	D.Beauchamp	🇦🇺 AUSTRALIA	50	66.0%	0.48
116	H.Camberos	🇦🇷 ARGENTINA	46	65.2%	0.37
117	E.Manoppo	🇮🇩 INDONESIA	43	65.1%	0.37
118	F.Combescure	🇫🇷 FRANCE	43	65.1%	0.42
119	B.Garozzo	🇮🇹 ITALY	31	64.5%	0.42
120	K.Venkataraman	🇮🇳 INDIA	38	63.2%	0.40
121	G.Marshall	🇲🇽 MEXICO	56	60.7%	0.52
122	R.Aragones	🇬🇵 GUADELOUPE	30	60.0%	0.47
123	P.Zimmermann	🇲🇨 MONACO	28	50.0%	0.57
124	J.Allavena	🇲🇨 MONACO	4	100.0%	0.00
125	V.Aronov	🇧🇬 BULGARIA	23	87.0%	0.17
126	N.Nickell	🇺🇸 USA1	22	86.4%	0.18
127	R.Katz	🇺🇸 USA1	32	84.4%	0.22
128	D.Damianova	🇧🇬 BULGARIA	37	78.4%	0.24
129	R.Dias	🇧🇷 BRAZIL	19	73.7%	0.32
130	L.De Carvalho	🇧🇷 BRAZIL	41	70.7%	0.37

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.Dai	🇨🇳 CHINA	105	94.3%	0.06
2	L.Yang	🇨🇳 CHINA	105	94.3%	0.06
3	R.Levin	🇺🇸 USA1	137	94.2%	0.06
4	S.Weinstein	🇺🇸 USA1	137	94.2%	0.06
5	Y.Chen	🇨🇳 CHINA	104	94.2%	0.07
6	J.Zhao	🇨🇳 CHINA	104	94.2%	0.07
7	J.Meckstroth	🇺🇸 USA1	127	93.7%	0.08
8	E.Rodwell	🇺🇸 USA1	127	93.7%	0.08
9	M.Rimstedt	🇸🇪 SWEDEN	108	93.5%	0.07
10	O.Rimstedt	🇸🇪 SWEDEN	108	93.5%	0.07
11	J.Li	🇨🇳 CHINA	109	92.7%	0.09
12	B.Zhang	🇨🇳 CHINA	109	92.7%	0.09
13	J.Linde	🇩🇪 GERMANY	117	92.3%	0.09
14	C.Schwerdt	🇩🇪 GERMANY	117	92.3%	0.09
15	C.Lorenzini	🇫🇷 FRANCE	122	91.8%	0.08
16	J.Quantin	🇫🇷 FRANCE	122	91.8%	0.08
17	A.Goel	🇮🇳 INDIA	84	91.7%	0.08
18	K.Venkataraman	🇮🇳 INDIA	84	91.7%	0.08
19	R.Angeleri	🇦🇷 ARGENTINA	72	91.7%	0.10
20	R.Poleschi	🇦🇷 ARGENTINA	72	91.7%	0.10
21	G.Donati	🇮🇹 ITALY	106	91.5%	0.09
22	A.Gandoglia	🇮🇹 ITALY	106	91.5%	0.09
23	J.Pszczola	🇺🇸 USA2	115	91.3%	0.09
24	M.Rosenberg	🇺🇸 USA2	115	91.3%	0.09
25	G.Chagas	🇧🇷 BRAZIL	145	91.0%	0.10
26	J.Villas-Boas	🇧🇷 BRAZIL	145	91.0%	0.10
27	G.Karakolev	🇧🇬 BULGARIA	141	90.8%	0.09
28	V.Mihov	🇧🇬 BULGARIA	141	90.8%	0.09
29	H.Dagher	🇪🇬 EGYPT	76	90.8%	0.09
30	O.El Geddawi	🇪🇬 EGYPT	76	90.8%	0.09
31	J.Grue	🇺🇸 USA2	135	90.4%	0.14
32	B.Moss	🇺🇸 USA2	135	90.4%	0.14
33	H.Lasut	🇮🇩 INDONESIA	122	90.2%	0.10
34	E.Manoppo	🇮🇩 INDONESIA	122	90.2%	0.10
35	T.Bessis	🇫🇷 FRANCE	110	90.0%	0.11
36	F.Volcker	🇫🇷 FRANCE	110	90.0%	0.11
37	D.Gerin	🇬🇵 GUADELOUPE	110	90.0%	0.14
38	J.Pelletier	🇬🇵 GUADELOUPE	110	90.0%	0.14
39	S.De Wijs	🇳🇱 NETHERLANDS	118	89.8%	0.10
40	B.Muller	🇳🇱 NETHERLANDS	118	89.8%	0.10
41	J.Sylvan	🇸🇪 SWEDEN	94	89.4%	0.17
42	F.Wrang	🇸🇪 SWEDEN	94	89.4%	0.17
43	A.Apteker	🇿🇦 SOUTH AFRICA	119	89.1%	0.13
44	C.Gower	🇿🇦 SOUTH AFRICA	119	89.1%	0.13
45	M.Di Franco	🇮🇹 ITALY	144	88.9%	0.13
46	A.Manno	🇮🇹 ITALY	144	88.9%	0.13
47	A.Bach	🇳🇿 NEW ZEALAND	108	88.9%	0.14
48	M.Cornell	🇳🇿 NEW ZEALAND	108	88.9%	0.14
49	D.Yang	🇹🇼 CHINESE TAIPEI	104	88.5%	0.12
50	S.Yang	🇹🇼 CHINESE TAIPEI	104	88.5%	0.12
51	L.Chen	🇹🇼 CHINESE TAIPEI	112	88.4%	0.15
52	E.Yeh	🇹🇼 CHINESE TAIPEI	112	88.4%	0.15
53	T.Asbi	🇮🇩 INDONESIA	103	88.3%	0.13
54	R.Tobing	🇮🇩 INDONESIA	103	88.3%	0.13
55	I.Nanev	🇧🇬 BULGARIA	134	88.1%	0.12
56	J.Stefanov	🇧🇬 BULGARIA	134	88.1%	0.12
57	P.Hollands	🇦🇺 AUSTRALIA	118	88.1%	0.14
58	J.Mill	🇦🇺 AUSTRALIA	118	88.1%	0.14
59	F.Nystrom	🇸🇪 SWEDEN	134	88.1%	0.15
60	J.Upmark	🇸🇪 SWEDEN	134	88.1%	0.15
61	S.Auken	🇩🇪 GERMANY	126	88.1%	0.16
62	R.Welland	🇩🇪 GERMANY	126	88.1%	0.16
63	F.Karwur	🇮🇩 INDONESIA	125	88.0%	0.13
64	D.Sacul	🇮🇩 INDONESIA	125	88.0%	0.13
65	P.Gill	🇦🇺 AUSTRALIA	106	87.7%	0.13
66	A.Peake	🇦🇺 AUSTRALIA	106	87.7%	0.13
67	T.Helness	🇲🇨 MONACO	125	87.2%	0.14
68	M.Fleisher	🇺🇸 USA2	86	87.2%	0.16
69	C.Martel	🇺🇸 USA2	86	87.2%	0.16
70	D.Beauchamp	🇦🇺 AUSTRALIA	115	87.0%	0.15
71	M.Thomson	🇦🇺 AUSTRALIA	115	87.0%	0.15
72	D.Majumder	🇮🇳 INDIA	137	86.9%	0.13
73	S.Mukherjee	🇮🇳 INDIA	137	86.9%	0.13
74	B.Garozzo	🇮🇹 ITALY	68	86.8%	0.16
75	F.Masoero	🇮🇹 ITALY	68	86.8%	0.16
76	P.Ravenna	🇧🇷 BRAZIL	126	86.5%	0.17
77	M.Thoma	🇧🇷 BRAZIL	126	86.5%	0.17
78	B.Van Den Bos	🇳🇱 NETHERLANDS	100	86.0%	0.16
79	J.Van Lankveld	🇳🇱 NETHERLANDS	100	86.0%	0.16
80	S.Haque	🇧🇩 BANGLADESH	113	85.8%	0.17
81	B.Drijver	🇳🇱 NETHERLANDS	112	85.7%	0.15
82	B.Nab	🇳🇱 NETHERLANDS	112	85.7%	0.15
83	H.Haeusler	🇩🇪 GERMANY	91	85.7%	0.19
84	M.Rehder	🇩🇪 GERMANY	91	85.7%	0.19
85	P.Zimmermann	🇲🇨 MONACO	76	85.5%	0.22
86	M.Brown	🇳🇿 NEW ZEALAND	103	85.4%	0.15
87	M.Whibley	🇳🇿 NEW ZEALAND	103	85.4%	0.15
88	F.Multon	🇲🇨 MONACO	103	85.4%	0.20
89	C.Lucena	🇦🇷 ARGENTINA	141	85.1%	0.19
90	C.Pellegrini	🇦🇷 ARGENTINA	141	85.1%	0.19
91	G.Helgemo	🇲🇨 MONACO	152	84.9%	0.16
92	M.Ispahani	🇧🇩 BANGLADESH	110	84.5%	0.17
93	KAMRUZZAMAN A H M	🇧🇩 BANGLADESH	110	84.5%	0.17
94	G.Tislevoll	🇳🇿 NEW ZEALAND	109	84.4%	0.17
95	M.Ware	🇳🇿 NEW ZEALAND	109	84.4%	0.17
96	J.Chung	🇹🇼 CHINESE TAIPEI	127	84.3%	0.18
97	H.Liu	🇹🇼 CHINESE TAIPEI	127	84.3%	0.18
98	M.Chowdhury	🇧🇩 BANGLADESH	134	84.3%	0.19
99	M.Ahasan	🇧🇩 BANGLADESH	105	83.8%	0.20
100	F.Combescure	🇫🇷 FRANCE	117	83.8%	0.20
101	J.Rombaut	🇫🇷 FRANCE	117	83.8%	0.20
102	G.Herrera	🇲🇽 MEXICO	171	83.6%	0.22
103	G.Marshall	🇲🇽 MEXICO	171	83.6%	0.22
104	W.El Ahmady	🇪🇬 EGYPT	139	83.5%	0.18
105	T.Sadek	🇪🇬 EGYPT	139	83.5%	0.18
106	M.Heshmat	🇪🇬 EGYPT	106	83.0%	0.20
107	B.Pascal	🇪🇬 EGYPT	106	83.0%	0.20
108	K.Martens	🇲🇨 MONACO	104	82.7%	0.17
109	B.Donde	🇿🇦 SOUTH AFRICA	97	82.5%	0.20
110	R.Stephens	🇿🇦 SOUTH AFRICA	97	82.5%	0.20
111	M.Rahman	🇧🇩 BANGLADESH	126	82.5%	0.21
112	P.Sridharan	🇮🇳 INDIA	127	81.9%	0.20
113	S.Srinivasan	🇮🇳 INDIA	127	81.9%	0.20
114	P.Mathieu	🇬🇵 GUADELOUPE	133	81.2%	0.22
115	L.Soudan	🇬🇵 GUADELOUPE	133	81.2%	0.22
116	R.Aragones	🇬🇵 GUADELOUPE	95	80.0%	0.24
117	P.Bonnet	🇬🇵 GUADELOUPE	95	80.0%	0.24
118	A.Cohen	🇲🇽 MEXICO	189	79.9%	0.21
119	M.Reygadas	🇲🇽 MEXICO	189	79.9%	0.21
120	H.Camberos	🇦🇷 ARGENTINA	132	79.5%	0.23
121	E.Muzzio	🇦🇷 ARGENTINA	132	79.5%	0.23
122	C.Bosenberg	🇿🇦 SOUTH AFRICA	115	76.5%	0.26
123	N.Eber	🇿🇦 SOUTH AFRICA	115	76.5%	0.26
124	R.Katz	🇺🇸 USA1	74	86.5%	0.14
125	N.Nickell	🇺🇸 USA1	74	86.5%	0.14
126	J.Allavena	🇲🇨 MONACO	50	86.0%	0.14
127	L.De Carvalho	🇧🇷 BRAZIL	52	82.7%	0.23
128	R.Dias	🇧🇷 BRAZIL	52	82.7%	0.23
129	V.Aronov	🇧🇬 BULGARIA	52	82.7%	0.31
130	D.Damianova	🇧🇬 BULGARIA	52	82.7%	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	C.Lorenzini	🇫🇷 FRANCE	224	-0.04	+0.79	+0.75	▲2
2	J.Quantin	🇫🇷 FRANCE	224	-0.04	+0.79	+0.75	▲2
3	J.Dai	🇨🇳 CHINA	224	+0.07	+0.58	+0.65	▲4
4	L.Yang	🇨🇳 CHINA	224	+0.07	+0.58	+0.65	▲4
5	J.Grue	🇺🇸 USA2	256	-0.18	+0.81	+0.64	▼4
6	B.Moss	🇺🇸 USA2	256	-0.18	+0.81	+0.64	▼4
7	S.De Wijs	🇳🇱 NETHERLANDS	224	-0.04	+0.59	+0.55	▼2
8	B.Muller	🇳🇱 NETHERLANDS	224	-0.04	+0.59	+0.55	▼2
9	D.Majumder	🇮🇳 INDIA	272	+0.07	+0.40	+0.47	▲9
10	S.Mukherjee	🇮🇳 INDIA	272	+0.07	+0.40	+0.47	▲9
11	R.Levin	🇺🇸 USA1	272	-0.03	+0.50	+0.47	▲2
12	S.Weinstein	🇺🇸 USA1	272	-0.03	+0.50	+0.47	▲2
13	J.Meckstroth	🇺🇸 USA1	272	-0.14	+0.58	+0.44	▼4
14	E.Rodwell	🇺🇸 USA1	272	-0.14	+0.58	+0.44	▼4
15	G.Helgemo	🇲🇨 MONACO	320	-0.02	+0.45	+0.43	·
16	B.Van Den Bos	🇳🇱 NETHERLANDS	224	+0.03	+0.37	+0.40	▲8
17	J.Van Lankveld	🇳🇱 NETHERLANDS	224	+0.03	+0.37	+0.40	▲8
18	F.Nystrom	🇸🇪 SWEDEN	256	+0.06	+0.31	+0.36	▲18
19	J.Upmark	🇸🇪 SWEDEN	256	+0.06	+0.31	+0.36	▲18
20	M.Di Franco	🇮🇹 ITALY	288	-0.02	+0.37	+0.35	·
21	A.Manno	🇮🇹 ITALY	288	-0.02	+0.37	+0.35	·
22	F.Combescure	🇫🇷 FRANCE	224	-0.20	+0.54	+0.34	▼11
23	J.Rombaut	🇫🇷 FRANCE	224	-0.20	+0.54	+0.34	▼11
24	G.Karakolev	🇧🇬 BULGARIA	288	+0.02	+0.32	+0.34	▲10
25	V.Mihov	🇧🇬 BULGARIA	288	+0.02	+0.32	+0.34	▲10
26	B.Drijver	🇳🇱 NETHERLANDS	224	+0.01	+0.32	+0.33	▲2
27	B.Nab	🇳🇱 NETHERLANDS	224	+0.01	+0.32	+0.33	▲2
28	J.Pszczola	🇺🇸 USA2	224	-0.01	+0.32	+0.31	▲4
29	M.Rosenberg	🇺🇸 USA2	224	-0.01	+0.32	+0.31	▲4
30	M.Rimstedt	🇸🇪 SWEDEN	224	-0.13	+0.43	+0.29	▼14
31	O.Rimstedt	🇸🇪 SWEDEN	224	-0.13	+0.43	+0.29	▼14
32	K.Martens	🇲🇨 MONACO	224	-0.02	+0.31	+0.28	▲6
33	C.Lucena	🇦🇷 ARGENTINA	288	-0.07	+0.34	+0.27	▼7
34	C.Pellegrini	🇦🇷 ARGENTINA	288	-0.07	+0.34	+0.27	▼7
35	T.Helness	🇲🇨 MONACO	272	+0.00	+0.25	+0.25	▲6
36	M.Heshmat	🇪🇬 EGYPT	192	-0.09	+0.32	+0.23	▼6
37	B.Pascal	🇪🇬 EGYPT	192	-0.09	+0.32	+0.23	▼6
38	G.Chagas	🇧🇷 BRAZIL	288	-0.14	+0.37	+0.23	▼16
39	J.Villas-Boas	🇧🇷 BRAZIL	288	-0.14	+0.37	+0.23	▼16
40	I.Nanev	🇧🇬 BULGARIA	272	-0.05	+0.27	+0.23	▼1
41	J.Stefanov	🇧🇬 BULGARIA	272	-0.05	+0.27	+0.23	▼1
42	G.Donati	🇮🇹 ITALY	240	+0.11	+0.09	+0.20	▲18
43	A.Gandoglia	🇮🇹 ITALY	240	+0.11	+0.09	+0.20	▲18
44	T.Asbi	🇮🇩 INDONESIA	224	-0.00	+0.19	+0.19	·
45	R.Tobing	🇮🇩 INDONESIA	224	-0.00	+0.19	+0.19	·
46	W.El Ahmady	🇪🇬 EGYPT	320	+0.08	+0.11	+0.19	▲12
47	T.Sadek	🇪🇬 EGYPT	320	+0.08	+0.11	+0.19	▲12
48	G.Tislevoll	🇳🇿 NEW ZEALAND	224	+0.01	+0.18	+0.19	▼2
49	M.Ware	🇳🇿 NEW ZEALAND	224	+0.01	+0.18	+0.19	▼2
50	Y.Chen	🇨🇳 CHINA	224	+0.01	+0.13	+0.15	▲2
51	J.Zhao	🇨🇳 CHINA	224	+0.01	+0.13	+0.15	▲2
52	J.Sylvan	🇸🇪 SWEDEN	192	-0.01	+0.13	+0.12	▲2
53	F.Wrang	🇸🇪 SWEDEN	192	-0.01	+0.13	+0.12	▲2
54	S.Auken	🇩🇪 GERMANY	256	-0.06	+0.16	+0.11	▼6
55	R.Welland	🇩🇪 GERMANY	256	-0.06	+0.16	+0.11	▼6
56	P.Gill	🇦🇺 AUSTRALIA	208	-0.04	+0.14	+0.10	▼6
57	A.Peake	🇦🇺 AUSTRALIA	208	-0.04	+0.14	+0.10	▼6
58	T.Bessis	🇫🇷 FRANCE	224	+0.05	+0.03	+0.08	▲6
59	F.Volcker	🇫🇷 FRANCE	224	+0.05	+0.03	+0.08	▲6
60	A.Bach	🇳🇿 NEW ZEALAND	224	+0.03	+0.02	+0.05	▲6
61	M.Cornell	🇳🇿 NEW ZEALAND	224	+0.03	+0.02	+0.05	▲6
62	F.Karwur	🇮🇩 INDONESIA	224	+0.21	-0.17	+0.05	▲22
63	D.Sacul	🇮🇩 INDONESIA	224	+0.21	-0.17	+0.05	▲22
64	A.Goel	🇮🇳 INDIA	160	-0.21	+0.24	+0.03	▼22
65	K.Venkataraman	🇮🇳 INDIA	160	-0.21	+0.24	+0.03	▼22
66	J.Linde	🇩🇪 GERMANY	224	-0.10	+0.13	+0.03	▼10
67	C.Schwerdt	🇩🇪 GERMANY	224	-0.10	+0.13	+0.03	▼10
68	M.Brown	🇳🇿 NEW ZEALAND	224	-0.08	+0.09	+0.01	▼6
69	M.Whibley	🇳🇿 NEW ZEALAND	224	-0.08	+0.09	+0.01	▼6
70	P.Hollands	🇦🇺 AUSTRALIA	240	+0.06	-0.05	+0.01	▲2
71	J.Mill	🇦🇺 AUSTRALIA	240	+0.06	-0.05	+0.01	▲2
72	A.Apteker	🇿🇦 SOUTH AFRICA	240	+0.13	-0.16	-0.02	▲10
73	C.Gower	🇿🇦 SOUTH AFRICA	240	+0.13	-0.16	-0.02	▲10
74	L.Chen	🇹🇼 CHINESE TAIPEI	224	-0.07	-0.00	-0.08	▼4
75	E.Yeh	🇹🇼 CHINESE TAIPEI	224	-0.07	-0.00	-0.08	▼4
76	D.Beauchamp	🇦🇺 AUSTRALIA	224	+0.13	-0.21	-0.08	▲14
77	M.Thomson	🇦🇺 AUSTRALIA	224	+0.13	-0.21	-0.08	▲14
78	D.Yang	🇹🇼 CHINESE TAIPEI	224	+0.05	-0.15	-0.10	▲2
79	S.Yang	🇹🇼 CHINESE TAIPEI	224	+0.05	-0.15	-0.10	▲2
80	J.Chung	🇹🇼 CHINESE TAIPEI	224	+0.03	-0.14	-0.11	▼2
81	H.Liu	🇹🇼 CHINESE TAIPEI	224	+0.03	-0.14	-0.11	▼2
82	P.Ravenna	🇧🇷 BRAZIL	272	+0.04	-0.19	-0.14	▲6
83	M.Thoma	🇧🇷 BRAZIL	272	+0.04	-0.19	-0.14	▲6
84	H.Dagher	🇪🇬 EGYPT	160	+0.10	-0.32	-0.22	▲10
85	O.El Geddawi	🇪🇬 EGYPT	160	+0.10	-0.32	-0.22	▲10
86	J.Li	🇨🇳 CHINA	224	+0.09	-0.32	-0.23	▲10
87	B.Zhang	🇨🇳 CHINA	224	+0.09	-0.32	-0.23	▲10
88	B.Donde	🇿🇦 SOUTH AFRICA	192	-0.06	-0.17	-0.23	▼2
89	R.Stephens	🇿🇦 SOUTH AFRICA	192	-0.06	-0.17	-0.23	▼2
90	P.Mathieu	🇬🇵 GUADELOUPE	256	-0.14	-0.12	-0.26	▼14
91	L.Soudan	🇬🇵 GUADELOUPE	256	-0.14	-0.12	-0.26	▼14
92	R.Angeleri	🇦🇷 ARGENTINA	144	-0.28	+0.00	-0.28	▼24
93	R.Poleschi	🇦🇷 ARGENTINA	144	-0.28	+0.00	-0.28	▼24
94	H.Lasut	🇮🇩 INDONESIA	224	-0.19	-0.09	-0.28	▼20
95	E.Manoppo	🇮🇩 INDONESIA	224	-0.19	-0.09	-0.28	▼20
96	D.Gerin	🇬🇵 GUADELOUPE	240	-0.00	-0.32	-0.32	▼4
97	J.Pelletier	🇬🇵 GUADELOUPE	240	-0.00	-0.32	-0.32	▼4
98	M.Fleisher	🇺🇸 USA2	192	+0.04	-0.41	-0.37	·
99	C.Martel	🇺🇸 USA2	192	+0.04	-0.41	-0.37	·
100	M.Rahman	🇧🇩 BANGLADESH	224	+0.19	-0.57	-0.39	▲9
101	H.Camberos	🇦🇷 ARGENTINA	240	+0.11	-0.50	-0.39	▼1
102	E.Muzzio	🇦🇷 ARGENTINA	240	+0.11	-0.50	-0.39	▼1
103	H.Haeusler	🇩🇪 GERMANY	192	+0.18	-0.63	-0.45	▲7
104	M.Rehder	🇩🇪 GERMANY	192	+0.18	-0.63	-0.45	▲7
105	F.Multon	🇲🇨 MONACO	240	+0.05	-0.53	-0.48	▼3
106	P.Sridharan	🇮🇳 INDIA	240	+0.03	-0.55	-0.52	▼1
107	S.Srinivasan	🇮🇳 INDIA	240	+0.03	-0.55	-0.52	▼1
108	G.Herrera	🇲🇽 MEXICO	336	+0.05	-0.57	-0.53	▼1
109	G.Marshall	🇲🇽 MEXICO	336	+0.05	-0.57	-0.53	▼1
110	M.Chowdhury	🇧🇩 BANGLADESH	256	+0.14	-0.72	-0.58	▲5
111	M.Ahasan	🇧🇩 BANGLADESH	192	+0.13	-0.72	-0.59	▲5
112	M.Ispahani	🇧🇩 BANGLADESH	224	+0.04	-0.68	-0.64	·
113	KAMRUZZAMAN A H M	🇧🇩 BANGLADESH	224	+0.04	-0.68	-0.64	·
114	B.Garozzo	🇮🇹 ITALY	144	-0.11	-0.55	-0.66	▼11
115	F.Masoero	🇮🇹 ITALY	144	-0.11	-0.55	-0.66	▼11
116	R.Aragones	🇬🇵 GUADELOUPE	176	+0.27	-0.95	-0.67	▲6
117	P.Bonnet	🇬🇵 GUADELOUPE	176	+0.27	-0.95	-0.67	▲6
118	P.Zimmermann	🇲🇨 MONACO	176	-0.02	-0.69	-0.71	▼4
119	S.Haque	🇧🇩 BANGLADESH	224	+0.09	-0.86	-0.77	▲2
120	C.Bosenberg	🇿🇦 SOUTH AFRICA	240	+0.03	-0.84	-0.81	▼1
121	N.Eber	🇿🇦 SOUTH AFRICA	240	+0.03	-0.84	-0.81	▼1
122	A.Cohen	🇲🇽 MEXICO	336	+0.01	-0.84	-0.83	▼5
123	M.Reygadas	🇲🇽 MEXICO	336	+0.01	-0.84	-0.83	▼5

Stages

Statistics