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	E.Ovelius	🇸🇪 SWEDEN	224	+1.47	+329.0
2	S.Rimstedt	🇸🇪 SWEDEN	224	+1.47	+329.0
3	Y.Huang	🇨🇳 CHINA	208	+1.02	+213.0
4	N.Wang	🇨🇳 CHINA	208	+1.02	+213.0
5	S.Brock	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	224	+1.01	+227.0
6	F.Brown	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	224	+1.01	+227.0
7	M.Bruijnsteen	🇳🇱 NETHERLANDS	224	+0.87	+194.0
8	L.Dekkers	🇳🇱 NETHERLANDS	224	+0.87	+194.0
9	A.Asulin	🇮🇱 ISRAEL	240	+0.85	+203.0
10	H.Levi	🇮🇱 ISRAEL	240	+0.85	+203.0
11	A.Gulevich	🇷🇺 RUSSIA	240	+0.69	+165.0
12	E.Khonicheva	🇷🇺 RUSSIA	240	+0.69	+165.0
13	SHEN (1) Qi	🇨🇳 CHINA	208	+0.64	+134.0
14	W.Wang	🇨🇳 CHINA	208	+0.64	+134.0
15	D.Tal	🇮🇱 ISRAEL	272	+0.64	+174.0
16	N.Tal	🇮🇱 ISRAEL	272	+0.64	+174.0
17	A.Huberschwiller	🇫🇷 FRANCE	192	+0.61	+118.0
18	J.Mourgues	🇫🇷 FRANCE	192	+0.61	+118.0
19	B.Palmer	🇺🇸 USA1	288	+0.59	+169.0
20	S.Shi	🇺🇸 USA1	288	+0.59	+169.0
21	S.Penfold	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	208	+0.57	+119.0
22	N.Senior	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	208	+0.57	+119.0
23	L.Bojoh	🇮🇩 INDONESIA	304	+0.57	+172.0
24	J.Tueje	🇮🇩 INDONESIA	304	+0.57	+172.0
25	V.Gromova	🇷🇺 RUSSIA	224	+0.55	+124.0
26	T.Ponomareva	🇷🇺 RUSSIA	224	+0.55	+124.0
27	I.Gronkvist	🇸🇪 SWEDEN	224	+0.38	+84.0
28	C.Rimstedt	🇸🇪 SWEDEN	224	+0.38	+84.0
29	K.Dufrat	🇵🇱 POLAND	272	+0.34	+92.0
30	J.Zmuda	🇵🇱 POLAND	272	+0.34	+92.0
31	M.Garateguy	🇦🇷 ARGENTINA	240	+0.34	+81.0
32	M.Iacapraro	🇦🇷 ARGENTINA	240	+0.34	+81.0
33	H.Hachimi	🇲🇦 MOROCCO	240	+0.33	+78.0
34	R.Hamamsi	🇲🇦 MOROCCO	240	+0.33	+78.0
35	B.Jenkins	🇺🇸 USA2	208	+0.31	+65.0
36	S.Winestock	🇺🇸 USA2	208	+0.31	+65.0
37	C.Ferlazzo	🇮🇹 ITALY	240	+0.29	+70.0
38	G.Manara	🇮🇹 ITALY	240	+0.29	+70.0
39	I.Baroni	🇮🇹 ITALY	224	+0.27	+61.0
40	C.Golin	🇮🇹 ITALY	224	+0.27	+61.0
41	S.Dewi	🇮🇩 INDONESIA	272	+0.27	+74.0
42	K.Murniati	🇮🇩 INDONESIA	272	+0.27	+74.0
43	M.Homsy	🇪🇬 EGYPT	336	+0.24	+82.0
44	C.Arnolds	🇳🇱 NETHERLANDS	208	+0.23	+47.0
45	M.Verbeek	🇳🇱 NETHERLANDS	208	+0.23	+47.0
46	C.Gibbons	🇳🇿 NEW ZEALAND	240	+0.19	+46.0
47	J.Gibbons	🇳🇿 NEW ZEALAND	240	+0.19	+46.0
48	C.Ginsberg	🇦🇺 AUSTRALIA	256	+0.17	+44.0
49	B.Travis	🇦🇺 AUSTRALIA	256	+0.17	+44.0
50	C.Audiche	🇪🇬 EGYPT	320	+0.16	+51.0
51	H.So	🇹🇼 CHINESE TAIPEI	256	+0.13	+33.0
52	Y.Wu	🇹🇼 CHINESE TAIPEI	256	+0.13	+33.0
53	B.Bryant	🇨🇦 CANADA	224	+0.11	+25.0
54	P.Nisbet	🇨🇦 CANADA	224	+0.11	+25.0
55	D.Rakhmani	🇷🇺 RUSSIA	208	+0.11	+23.0
56	M.Yakovleva	🇷🇺 RUSSIA	208	+0.11	+23.0
57	P.Correa	🇧🇷 BRAZIL	240	+0.10	+24.0
58	S.De Mello	🇧🇷 BRAZIL	240	+0.10	+24.0
59	N.Gawel	🇵🇱 POLAND	208	+0.08	+17.0
60	A.Jarosz	🇵🇱 POLAND	208	+0.08	+17.0
61	Y.Liu	🇨🇳 CHINA	256	+0.07	+19.0
62	Y.Lu	🇨🇳 CHINA	256	+0.07	+19.0
63	A.Kshirsagar	🇮🇳 INDIA	207	+0.01	+2.0
64	V.Shah	🇮🇳 INDIA	207	+0.01	+2.0
65	C.Baldysz	🇵🇱 POLAND	192	+0.00	+0.0
66	Z.Baldysz	🇵🇱 POLAND	192	+0.00	+0.0
67	P.Andersson	🇸🇪 SWEDEN	224	-0.04	-10.0
68	K.Bertheau	🇸🇪 SWEDEN	224	-0.04	-10.0
69	Y.Chen	🇹🇼 CHINESE TAIPEI	224	-0.06	-13.0
70	Y.Lin	🇹🇼 CHINESE TAIPEI	224	-0.06	-13.0
71	M.Espinosa-Paz	🇦🇷 ARGENTINA	208	-0.06	-13.0
72	M.Previde	🇦🇷 ARGENTINA	208	-0.06	-13.0
73	M.Ticha	🇳🇱 NETHERLANDS	240	-0.08	-20.0
74	W.Van Zwol	🇳🇱 NETHERLANDS	240	-0.08	-20.0
75	B.Cronier	🇫🇷 FRANCE	256	-0.11	-27.0
76	S.Willard	🇫🇷 FRANCE	256	-0.11	-27.0
77	S.Humphries	🇳🇿 NEW ZEALAND	272	-0.11	-30.0
78	S.Jacob	🇳🇿 NEW ZEALAND	272	-0.11	-30.0
79	C.Goldberg	🇺🇸 USA2	240	-0.12	-30.0
80	S.Moss	🇺🇸 USA2	240	-0.12	-30.0
81	M.Bookallil	🇦🇺 AUSTRALIA	224	-0.13	-29.0
82	J.Tutty	🇦🇺 AUSTRALIA	224	-0.13	-29.0
83	A.Qashu	🇯🇴 JORDAN	240	-0.20	-49.0
84	R.Saket	🇯🇴 JORDAN	240	-0.20	-49.0
85	L.Pain	🇧🇷 BRAZIL	208	-0.28	-58.0
86	I.Vargas De Andrade	🇧🇷 BRAZIL	208	-0.28	-58.0
87	E.Alegre	🇦🇷 ARGENTINA	224	-0.29	-66.0
88	F.Herrera	🇦🇷 ARGENTINA	224	-0.29	-66.0
89	A.Mandelot	🇧🇷 BRAZIL	224	-0.29	-66.0
90	H.Nogueira	🇧🇷 BRAZIL	224	-0.29	-66.0
91	V.Reess	🇫🇷 FRANCE	224	-0.35	-79.0
92	J.Zochowska	🇫🇷 FRANCE	224	-0.35	-79.0
93	M.Bourke	🇦🇺 AUSTRALIA	192	-0.42	-80.0
94	S.Lusk	🇦🇺 AUSTRALIA	192	-0.42	-80.0
95	B.De Young	🇺🇸 USA2	223	-0.43	-96.0
96	I.Kislitsyna	🇺🇸 USA2	223	-0.43	-96.0
97	B.Naidoo	🇮🇳 INDIA	224	-0.46	-102.0
98	S.Vasanth	🇮🇳 INDIA	224	-0.46	-102.0
99	A.Rosetta	🇮🇹 ITALY	208	-0.48	-99.0
100	M.Vanuzzi	🇮🇹 ITALY	208	-0.48	-99.0
101	C.Draper	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	240	-0.48	-116.0
102	N.Smith	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	240	-0.48	-116.0
103	N.Wattar	🇪🇬 EGYPT	320	-0.49	-158.0
104	W.Liu	🇹🇼 CHINESE TAIPEI	192	-0.49	-95.0
105	Y.Lu	🇹🇼 CHINESE TAIPEI	192	-0.49	-95.0
106	L.Kabbaj	🇲🇦 MOROCCO	224	-0.52	-116.0
107	G.Nabil	🇲🇦 MOROCCO	224	-0.52	-116.0
108	J.Meyers	🇺🇸 USA1	256	-0.58	-148.0
109	M.Zur-Campanile	🇺🇸 USA1	256	-0.58	-148.0
110	M.Khouri	🇪🇬 EGYPT	336	-0.60	-200.0
111	M.Nosacki	🇮🇱 ISRAEL	160	-0.77	-123.0
112	N.Saada	🇮🇱 ISRAEL	160	-0.77	-123.0
113	F.Lahlou	🇲🇦 MOROCCO	208	-0.83	-173.0
114	S.Teber	🇲🇦 MOROCCO	208	-0.83	-173.0
115	R.Foster	🇨🇦 CANADA	224	-0.88	-198.0
116	L.Mcdonald	🇨🇦 CANADA	224	-0.88	-198.0
117	H.Wolpert	🇨🇦 CANADA	224	-1.01	-227.0
118	L.Wynston	🇨🇦 CANADA	224	-1.01	-227.0
119	A.Abu Jaber	🇯🇴 JORDAN	256	-1.09	-278.0
120	Y.Abu Jaber	🇯🇴 JORDAN	256	-1.09	-278.0
121	D.Al-Taher	🇯🇴 JORDAN	176	-1.32	-232.0
122	H.Saket	🇯🇴 JORDAN	176	-1.32	-232.0
123	R.Bakeri	🇮🇳 INDIA	240	-1.47	-353.0
124	M.Karmarkar	🇮🇳 INDIA	240	-1.47	-353.0
125	V.Cornell	🇳🇿 NEW ZEALAND	160	-1.54	-247.0
126	S.Newton	🇳🇿 NEW ZEALAND	160	-1.54	-247.0
127	S.Cappelletti	🇺🇸 USA1	128	+0.50	+64.0
128	J.Weingold	🇺🇸 USA1	128	+0.50	+64.0
129	R.Andhani	🇮🇩 INDONESIA	96	+0.01	+1.0
130	C.Sumampouw	🇮🇩 INDONESIA	96	+0.01	+1.0
131	L.Khalil	🇪🇬 EGYPT	32	-0.34	-11.0

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	A.Kshirsagar	🇮🇳 INDIA	46	95.7%	0.04
2	V.Cornell	🇳🇿 NEW ZEALAND	41	95.1%	0.05
3	Y.Huang	🇨🇳 CHINA	47	93.6%	0.13
4	L.Kabbaj	🇲🇦 MOROCCO	50	92.0%	0.08
5	N.Saada	🇮🇱 ISRAEL	47	91.5%	0.09
6	C.Ferlazzo	🇮🇹 ITALY	58	91.4%	0.10
7	I.Gronkvist	🇸🇪 SWEDEN	46	91.3%	0.11
8	C.Draper	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	62	90.3%	0.10
9	D.Al-Taher	🇯🇴 JORDAN	56	89.3%	0.11
10	E.Ovelius	🇸🇪 SWEDEN	64	89.1%	0.11
11	B.Cronier	🇫🇷 FRANCE	64	89.1%	0.11
12	S.De Mello	🇧🇷 BRAZIL	63	88.9%	0.13
13	N.Smith	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	61	88.5%	0.13
14	T.Ponomareva	🇷🇺 RUSSIA	60	88.3%	0.13
15	G.Nabil	🇲🇦 MOROCCO	60	88.3%	0.17
16	A.Gulevich	🇷🇺 RUSSIA	58	87.9%	0.12
17	M.Ticha	🇳🇱 NETHERLANDS	66	87.9%	0.14
18	Z.Baldysz	🇵🇱 POLAND	49	87.8%	0.12
19	N.Senior	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	48	87.5%	0.12
20	W.Liu	🇹🇼 CHINESE TAIPEI	46	87.0%	0.22
21	C.Gibbons	🇳🇿 NEW ZEALAND	61	86.9%	0.15
22	W.Wang	🇨🇳 CHINA	53	86.8%	0.13
23	J.Mourgues	🇫🇷 FRANCE	59	86.4%	0.15
24	S.Dewi	🇮🇩 INDONESIA	66	86.4%	0.21
25	S.Vasanth	🇮🇳 INDIA	43	86.0%	0.14
26	N.Wang	🇨🇳 CHINA	57	86.0%	0.16
27	L.Mcdonald	🇨🇦 CANADA	57	86.0%	0.16
28	E.Khonicheva	🇷🇺 RUSSIA	64	85.9%	0.16
29	A.Jarosz	🇵🇱 POLAND	49	85.7%	0.27
30	G.Manara	🇮🇹 ITALY	69	85.5%	0.17
31	B.Bryant	🇨🇦 CANADA	69	85.5%	0.17
32	I.Kislitsyna	🇺🇸 USA2	62	85.5%	0.18
33	V.Reess	🇫🇷 FRANCE	48	85.4%	0.17
34	M.Bourke	🇦🇺 AUSTRALIA	48	85.4%	0.19
35	D.Tal	🇮🇱 ISRAEL	81	85.2%	0.15
36	P.Correa	🇧🇷 BRAZIL	47	85.1%	0.15
37	M.Bruijnsteen	🇳🇱 NETHERLANDS	60	85.0%	0.17
38	M.Iacapraro	🇦🇷 ARGENTINA	60	85.0%	0.17
39	SHEN (1) Qi	🇨🇳 CHINA	46	84.8%	0.20
40	M.Bookallil	🇦🇺 AUSTRALIA	52	84.6%	0.17
41	M.Garateguy	🇦🇷 ARGENTINA	64	84.4%	0.16
42	C.Rimstedt	🇸🇪 SWEDEN	57	84.2%	0.16
43	D.Rakhmani	🇷🇺 RUSSIA	57	84.2%	0.17
44	S.Winestock	🇺🇸 USA2	44	84.1%	0.20
45	F.Brown	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	49	83.7%	0.20
46	S.Lusk	🇦🇺 AUSTRALIA	49	83.7%	0.27
47	A.Qashu	🇯🇴 JORDAN	66	83.3%	0.18
48	J.Meyers	🇺🇸 USA1	60	83.3%	0.18
49	A.Asulin	🇮🇱 ISRAEL	53	83.0%	0.17
50	C.Arnolds	🇳🇱 NETHERLANDS	53	83.0%	0.17
51	M.Vanuzzi	🇮🇹 ITALY	53	83.0%	0.19
52	L.Dekkers	🇳🇱 NETHERLANDS	53	83.0%	0.23
53	N.Wattar	🇪🇬 EGYPT	76	82.9%	0.22
54	K.Dufrat	🇵🇱 POLAND	70	82.9%	0.24
55	M.Verbeek	🇳🇱 NETHERLANDS	41	82.9%	0.29
56	S.Willard	🇫🇷 FRANCE	75	82.7%	0.21
57	H.Nogueira	🇧🇷 BRAZIL	57	82.5%	0.23
58	P.Nisbet	🇨🇦 CANADA	51	82.4%	0.22
59	C.Audiche	🇪🇬 EGYPT	79	82.3%	0.23
60	A.Huberschwiller	🇫🇷 FRANCE	39	82.1%	0.18
61	N.Gawel	🇵🇱 POLAND	56	82.1%	0.20
62	M.Yakovleva	🇷🇺 RUSSIA	39	82.1%	0.20
63	M.Nosacki	🇮🇱 ISRAEL	39	82.1%	0.20
64	V.Gromova	🇷🇺 RUSSIA	61	82.0%	0.18
65	H.So	🇹🇼 CHINESE TAIPEI	72	81.9%	0.19
66	C.Baldysz	🇵🇱 POLAND	44	81.8%	0.20
67	F.Herrera	🇦🇷 ARGENTINA	49	81.6%	0.20
68	R.Foster	🇨🇦 CANADA	49	81.6%	0.22
69	S.Penfold	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	54	81.5%	0.24
70	H.Hachimi	🇲🇦 MOROCCO	59	81.4%	0.20
71	J.Tutty	🇦🇺 AUSTRALIA	69	81.2%	0.22
72	M.Homsy	🇪🇬 EGYPT	85	81.2%	0.23
73	Y.Lin	🇹🇼 CHINESE TAIPEI	53	81.1%	0.21
74	K.Bertheau	🇸🇪 SWEDEN	63	81.0%	0.21
75	A.Abu Jaber	🇯🇴 JORDAN	58	81.0%	0.22
76	Y.Lu	🇹🇼 CHINESE TAIPEI	52	80.8%	0.21
77	S.Shi	🇺🇸 USA1	67	80.6%	0.21
78	W.Van Zwol	🇳🇱 NETHERLANDS	62	80.6%	0.21
79	S.Moss	🇺🇸 USA2	56	80.4%	0.20
80	S.Brock	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	51	80.4%	0.23
81	R.Bakeri	🇮🇳 INDIA	51	80.4%	0.26
82	R.Saket	🇯🇴 JORDAN	61	80.3%	0.23
83	Y.Lu	🇨🇳 CHINA	70	80.0%	0.21
84	V.Shah	🇮🇳 INDIA	60	80.0%	0.22
85	L.Bojoh	🇮🇩 INDONESIA	80	80.0%	0.23
86	B.Palmer	🇺🇸 USA1	75	80.0%	0.25
87	R.Hamamsi	🇲🇦 MOROCCO	74	79.7%	0.23
88	Y.Liu	🇨🇳 CHINA	59	79.7%	0.24
89	S.Humphries	🇳🇿 NEW ZEALAND	74	79.7%	0.24
90	B.Naidoo	🇮🇳 INDIA	54	79.6%	0.20
91	B.Travis	🇦🇺 AUSTRALIA	63	79.4%	0.24
92	N.Tal	🇮🇱 ISRAEL	58	79.3%	0.22
93	A.Rosetta	🇮🇹 ITALY	48	79.2%	0.25
94	S.Teber	🇲🇦 MOROCCO	43	79.1%	0.23
95	H.Levi	🇮🇱 ISRAEL	67	79.1%	0.25
96	Y.Chen	🇹🇼 CHINESE TAIPEI	51	78.4%	0.23
97	B.De Young	🇺🇸 USA2	51	78.4%	0.23
98	H.Saket	🇯🇴 JORDAN	46	78.3%	0.24
99	M.Zur-Campanile	🇺🇸 USA1	59	78.0%	0.22
100	C.Golin	🇮🇹 ITALY	59	78.0%	0.29
101	J.Zmuda	🇵🇱 POLAND	63	77.8%	0.30
102	J.Zochowska	🇫🇷 FRANCE	49	77.6%	0.22
103	I.Baroni	🇮🇹 ITALY	58	77.6%	0.22
104	J.Tueje	🇮🇩 INDONESIA	85	77.6%	0.23
105	S.Newton	🇳🇿 NEW ZEALAND	40	77.5%	0.25
106	B.Jenkins	🇺🇸 USA2	57	77.2%	0.25
107	A.Mandelot	🇧🇷 BRAZIL	57	77.2%	0.26
108	P.Andersson	🇸🇪 SWEDEN	39	76.9%	0.23
109	Y.Abu Jaber	🇯🇴 JORDAN	64	76.6%	0.25
110	C.Goldberg	🇺🇸 USA2	64	76.6%	0.28
111	L.Pain	🇧🇷 BRAZIL	34	76.5%	0.27
112	K.Murniati	🇮🇩 INDONESIA	84	76.2%	0.27
113	J.Gibbons	🇳🇿 NEW ZEALAND	63	76.2%	0.30
114	M.Previde	🇦🇷 ARGENTINA	47	74.5%	0.26
115	F.Lahlou	🇲🇦 MOROCCO	43	74.4%	0.33
116	C.Ginsberg	🇦🇺 AUSTRALIA	69	73.9%	0.36
117	E.Alegre	🇦🇷 ARGENTINA	60	73.3%	0.33
118	L.Wynston	🇨🇦 CANADA	60	73.3%	0.33
119	Y.Wu	🇹🇼 CHINESE TAIPEI	59	72.9%	0.36
120	M.Espinosa-Paz	🇦🇷 ARGENTINA	43	72.1%	0.28
121	S.Jacob	🇳🇿 NEW ZEALAND	75	72.0%	0.32
122	S.Rimstedt	🇸🇪 SWEDEN	57	71.9%	0.39
123	M.Karmarkar	🇮🇳 INDIA	56	71.4%	0.36
124	I.Vargas De Andrade	🇧🇷 BRAZIL	65	70.8%	0.37
125	M.Khouri	🇪🇬 EGYPT	70	70.0%	0.34
126	H.Wolpert	🇨🇦 CANADA	55	69.1%	0.33
127	C.Sumampouw	🇮🇩 INDONESIA	16	87.5%	0.12
128	S.Cappelletti	🇺🇸 USA1	30	83.3%	0.17
129	J.Weingold	🇺🇸 USA1	36	77.8%	0.22
130	R.Andhani	🇮🇩 INDONESIA	26	73.1%	0.27
131	L.Khalil	🇪🇬 EGYPT	10	70.0%	0.30

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	L.Bojoh	🇮🇩 INDONESIA	74	89.2%	0.14
2	W.Wang	🇨🇳 CHINA	64	89.1%	0.14
3	H.Levi	🇮🇱 ISRAEL	52	88.5%	0.12
4	M.Yakovleva	🇷🇺 RUSSIA	52	88.5%	0.15
5	P.Andersson	🇸🇪 SWEDEN	59	88.1%	0.19
6	Y.Huang	🇨🇳 CHINA	50	88.0%	0.18
7	I.Vargas De Andrade	🇧🇷 BRAZIL	32	87.5%	0.25
8	M.Ticha	🇳🇱 NETHERLANDS	57	86.0%	0.16
9	S.Rimstedt	🇸🇪 SWEDEN	43	86.0%	0.16
10	N.Tal	🇮🇱 ISRAEL	64	85.9%	0.19
11	T.Ponomareva	🇷🇺 RUSSIA	47	85.1%	0.19
12	Z.Baldysz	🇵🇱 POLAND	53	84.9%	0.24
13	M.Khouri	🇪🇬 EGYPT	99	84.8%	0.20
14	K.Murniati	🇮🇩 INDONESIA	59	84.7%	0.22
15	M.Nosacki	🇮🇱 ISRAEL	39	84.6%	0.20
16	I.Baroni	🇮🇹 ITALY	58	84.5%	0.19
17	E.Ovelius	🇸🇪 SWEDEN	60	83.3%	0.22
18	S.Shi	🇺🇸 USA1	65	83.1%	0.20
19	A.Gulevich	🇷🇺 RUSSIA	57	82.5%	0.21
20	S.Brock	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	55	81.8%	0.22
21	A.Huberschwiller	🇫🇷 FRANCE	44	81.8%	0.23
22	L.Pain	🇧🇷 BRAZIL	76	81.6%	0.25
23	J.Zochowska	🇫🇷 FRANCE	64	81.2%	0.23
24	M.Homsy	🇪🇬 EGYPT	79	81.0%	0.27
25	A.Rosetta	🇮🇹 ITALY	68	80.9%	0.23
26	D.Tal	🇮🇱 ISRAEL	68	80.9%	0.28
27	S.Willard	🇫🇷 FRANCE	52	80.8%	0.31
28	J.Zmuda	🇵🇱 POLAND	72	80.6%	0.24
29	P.Correa	🇧🇷 BRAZIL	65	80.0%	0.20
30	B.Cronier	🇫🇷 FRANCE	65	80.0%	0.23
31	B.Travis	🇦🇺 AUSTRALIA	60	80.0%	0.25
32	Y.Lin	🇹🇼 CHINESE TAIPEI	60	80.0%	0.28
33	B.De Young	🇺🇸 USA2	54	79.6%	0.20
34	J.Mourgues	🇫🇷 FRANCE	49	79.6%	0.24
35	M.Verbeek	🇳🇱 NETHERLANDS	44	79.5%	0.20
36	V.Cornell	🇳🇿 NEW ZEALAND	44	79.5%	0.25
37	C.Gibbons	🇳🇿 NEW ZEALAND	44	79.5%	0.27
38	J.Tueje	🇮🇩 INDONESIA	63	79.4%	0.29
39	N.Wang	🇨🇳 CHINA	53	79.2%	0.26
40	B.Jenkins	🇺🇸 USA2	48	79.2%	0.33
41	M.Bourke	🇦🇺 AUSTRALIA	57	78.9%	0.23
42	M.Zur-Campanile	🇺🇸 USA1	71	78.9%	0.25
43	S.Winestock	🇺🇸 USA2	57	78.9%	0.26
44	H.So	🇹🇼 CHINESE TAIPEI	61	78.7%	0.26
45	R.Saket	🇯🇴 JORDAN	60	78.3%	0.28
46	C.Ferlazzo	🇮🇹 ITALY	55	78.2%	0.27
47	S.De Mello	🇧🇷 BRAZIL	64	78.1%	0.27
48	A.Asulin	🇮🇱 ISRAEL	68	77.9%	0.31
49	Y.Lu	🇨🇳 CHINA	67	77.6%	0.27
50	M.Iacapraro	🇦🇷 ARGENTINA	67	77.6%	0.28
51	M.Previde	🇦🇷 ARGENTINA	53	77.4%	0.32
52	A.Jarosz	🇵🇱 POLAND	53	77.4%	0.32
53	K.Dufrat	🇵🇱 POLAND	66	77.3%	0.24
54	A.Kshirsagar	🇮🇳 INDIA	44	77.3%	0.25
55	SHEN (1) Qi	🇨🇳 CHINA	44	77.3%	0.27
56	H.Hachimi	🇲🇦 MOROCCO	44	77.3%	0.27
57	M.Bruijnsteen	🇳🇱 NETHERLANDS	65	76.9%	0.25
58	V.Gromova	🇷🇺 RUSSIA	56	76.8%	0.32
59	I.Kislitsyna	🇺🇸 USA2	55	76.4%	0.29
60	C.Audiche	🇪🇬 EGYPT	84	76.2%	0.26
61	C.Baldysz	🇵🇱 POLAND	46	76.1%	0.30
62	L.Dekkers	🇳🇱 NETHERLANDS	46	76.1%	0.35
63	N.Gawel	🇵🇱 POLAND	50	76.0%	0.32
64	G.Manara	🇮🇹 ITALY	58	75.9%	0.31
65	F.Herrera	🇦🇷 ARGENTINA	54	75.9%	0.33
66	C.Arnolds	🇳🇱 NETHERLANDS	70	75.7%	0.24
67	S.Penfold	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	41	75.6%	0.37
68	C.Golin	🇮🇹 ITALY	49	75.5%	0.31
69	S.Vasanth	🇮🇳 INDIA	53	75.5%	0.40
70	N.Senior	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	65	75.4%	0.26
71	J.Meyers	🇺🇸 USA1	65	75.4%	0.31
72	B.Bryant	🇨🇦 CANADA	48	75.0%	0.27
73	M.Bookallil	🇦🇺 AUSTRALIA	48	75.0%	0.27
74	Y.Chen	🇹🇼 CHINESE TAIPEI	60	75.0%	0.30
75	M.Karmarkar	🇮🇳 INDIA	63	74.6%	0.30
76	Y.Wu	🇹🇼 CHINESE TAIPEI	63	74.6%	0.35
77	D.Rakhmani	🇷🇺 RUSSIA	59	74.6%	0.39
78	P.Nisbet	🇨🇦 CANADA	55	74.5%	0.29
79	V.Shah	🇮🇳 INDIA	55	74.5%	0.29
80	H.Wolpert	🇨🇦 CANADA	55	74.5%	0.34
81	K.Bertheau	🇸🇪 SWEDEN	62	74.2%	0.34
82	S.Dewi	🇮🇩 INDONESIA	62	74.2%	0.37
83	N.Smith	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	58	74.1%	0.29
84	J.Tutty	🇦🇺 AUSTRALIA	54	74.1%	0.32
85	C.Draper	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	57	73.7%	0.28
86	C.Rimstedt	🇸🇪 SWEDEN	76	73.7%	0.29
87	R.Foster	🇨🇦 CANADA	53	73.6%	0.34
88	N.Wattar	🇪🇬 EGYPT	83	73.5%	0.27
89	F.Lahlou	🇲🇦 MOROCCO	56	73.2%	0.38
90	M.Garateguy	🇦🇷 ARGENTINA	48	72.9%	0.31
91	F.Brown	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	68	72.1%	0.31
92	H.Nogueira	🇧🇷 BRAZIL	43	72.1%	0.33
93	Y.Lu	🇹🇼 CHINESE TAIPEI	56	71.4%	0.34
94	V.Reess	🇫🇷 FRANCE	63	71.4%	0.35
95	C.Ginsberg	🇦🇺 AUSTRALIA	62	71.0%	0.34
96	L.Kabbaj	🇲🇦 MOROCCO	61	70.5%	0.33
97	L.Wynston	🇨🇦 CANADA	54	70.4%	0.44
98	L.Mcdonald	🇨🇦 CANADA	64	70.3%	0.47
99	J.Gibbons	🇳🇿 NEW ZEALAND	70	70.0%	0.31
100	S.Humphries	🇳🇿 NEW ZEALAND	70	70.0%	0.39
101	B.Palmer	🇺🇸 USA1	80	70.0%	0.39
102	E.Khonicheva	🇷🇺 RUSSIA	60	70.0%	0.42
103	B.Naidoo	🇮🇳 INDIA	73	69.9%	0.40
104	I.Gronkvist	🇸🇪 SWEDEN	43	69.8%	0.33
105	A.Qashu	🇯🇴 JORDAN	52	69.2%	0.48
106	C.Goldberg	🇺🇸 USA2	68	69.1%	0.37
107	Y.Liu	🇨🇳 CHINA	58	69.0%	0.40
108	N.Saada	🇮🇱 ISRAEL	35	68.6%	0.34
109	R.Bakeri	🇮🇳 INDIA	70	68.6%	0.41
110	M.Vanuzzi	🇮🇹 ITALY	38	68.4%	0.40
111	A.Abu Jaber	🇯🇴 JORDAN	71	67.6%	0.38
112	S.Newton	🇳🇿 NEW ZEALAND	34	67.6%	0.44
113	S.Lusk	🇦🇺 AUSTRALIA	37	67.6%	0.46
114	W.Van Zwol	🇳🇱 NETHERLANDS	55	67.3%	0.47
115	M.Espinosa-Paz	🇦🇷 ARGENTINA	64	67.2%	0.41
116	R.Hamamsi	🇲🇦 MOROCCO	61	67.2%	0.41
117	W.Liu	🇹🇼 CHINESE TAIPEI	36	66.7%	0.50
118	E.Alegre	🇦🇷 ARGENTINA	59	66.1%	0.39
119	S.Jacob	🇳🇿 NEW ZEALAND	53	66.0%	0.38
120	S.Moss	🇺🇸 USA2	50	66.0%	0.42
121	Y.Abu Jaber	🇯🇴 JORDAN	62	64.5%	0.47
122	S.Teber	🇲🇦 MOROCCO	66	63.6%	0.59
123	D.Al-Taher	🇯🇴 JORDAN	35	62.9%	0.57
124	G.Nabil	🇲🇦 MOROCCO	51	62.7%	0.51
125	A.Mandelot	🇧🇷 BRAZIL	67	59.7%	0.45
126	H.Saket	🇯🇴 JORDAN	39	48.7%	0.59
127	C.Sumampouw	🇮🇩 INDONESIA	26	84.6%	0.15
128	S.Cappelletti	🇺🇸 USA1	31	83.9%	0.16
129	J.Weingold	🇺🇸 USA1	31	80.6%	0.26
130	R.Andhani	🇮🇩 INDONESIA	28	71.4%	0.29
131	L.Khalil	🇪🇬 EGYPT	6	66.7%	0.33

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	B.Palmer	🇺🇸 USA1	142	95.8%	0.04
2	S.Shi	🇺🇸 USA1	142	95.8%	0.04
3	E.Ovelius	🇸🇪 SWEDEN	121	93.4%	0.07
4	S.Rimstedt	🇸🇪 SWEDEN	121	93.4%	0.07
5	A.Asulin	🇮🇱 ISRAEL	120	93.3%	0.07
6	H.Levi	🇮🇱 ISRAEL	120	93.3%	0.07
7	N.Wattar	🇪🇬 EGYPT	143	93.0%	0.10
8	Y.Chen	🇹🇼 CHINESE TAIPEI	104	92.3%	0.09
9	Y.Lin	🇹🇼 CHINESE TAIPEI	104	92.3%	0.09
10	A.Huberschwiller	🇫🇷 FRANCE	98	91.8%	0.11
11	J.Mourgues	🇫🇷 FRANCE	98	91.8%	0.11
12	M.Ticha	🇳🇱 NETHERLANDS	128	91.4%	0.09
13	W.Van Zwol	🇳🇱 NETHERLANDS	128	91.4%	0.09
14	M.Khouri	🇪🇬 EGYPT	151	91.4%	0.12
15	Y.Huang	🇨🇳 CHINA	104	91.3%	0.10
16	N.Wang	🇨🇳 CHINA	104	91.3%	0.10
17	M.Bruijnsteen	🇳🇱 NETHERLANDS	113	91.2%	0.11
18	L.Dekkers	🇳🇱 NETHERLANDS	113	91.2%	0.11
19	SHEN (1) Qi	🇨🇳 CHINA	99	90.9%	0.12
20	W.Wang	🇨🇳 CHINA	99	90.9%	0.12
21	I.Gronkvist	🇸🇪 SWEDEN	103	90.3%	0.12
22	C.Rimstedt	🇸🇪 SWEDEN	103	90.3%	0.12
23	V.Gromova	🇷🇺 RUSSIA	121	90.1%	0.12
24	T.Ponomareva	🇷🇺 RUSSIA	121	90.1%	0.12
25	J.Meyers	🇺🇸 USA1	119	89.9%	0.13
26	M.Zur-Campanile	🇺🇸 USA1	119	89.9%	0.13
27	C.Goldberg	🇺🇸 USA2	120	89.2%	0.11
28	S.Moss	🇺🇸 USA2	120	89.2%	0.11
29	P.Andersson	🇸🇪 SWEDEN	102	89.2%	0.12
30	K.Bertheau	🇸🇪 SWEDEN	102	89.2%	0.12
31	Y.Liu	🇨🇳 CHINA	129	89.1%	0.13
32	Y.Lu	🇨🇳 CHINA	129	89.1%	0.13
33	A.Gulevich	🇷🇺 RUSSIA	122	88.5%	0.12
34	E.Khonicheva	🇷🇺 RUSSIA	122	88.5%	0.12
35	C.Arnolds	🇳🇱 NETHERLANDS	94	88.3%	0.13
36	M.Verbeek	🇳🇱 NETHERLANDS	94	88.3%	0.13
37	E.Alegre	🇦🇷 ARGENTINA	109	88.1%	0.15
38	F.Herrera	🇦🇷 ARGENTINA	109	88.1%	0.15
39	B.Jenkins	🇺🇸 USA2	101	88.1%	0.15
40	S.Winestock	🇺🇸 USA2	101	88.1%	0.15
41	S.Brock	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	100	88.0%	0.13
42	F.Brown	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	100	88.0%	0.13
43	K.Dufrat	🇵🇱 POLAND	133	88.0%	0.16
44	J.Zmuda	🇵🇱 POLAND	133	88.0%	0.16
45	R.Bakeri	🇮🇳 INDIA	107	87.9%	0.12
46	M.Karmarkar	🇮🇳 INDIA	107	87.9%	0.12
47	H.So	🇹🇼 CHINESE TAIPEI	131	87.8%	0.16
48	Y.Wu	🇹🇼 CHINESE TAIPEI	131	87.8%	0.16
49	L.Bojoh	🇮🇩 INDONESIA	165	87.3%	0.17
50	J.Tueje	🇮🇩 INDONESIA	165	87.3%	0.17
51	C.Draper	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	123	87.0%	0.15
52	N.Smith	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	123	87.0%	0.15
53	A.Abu Jaber	🇯🇴 JORDAN	122	86.9%	0.13
54	Y.Abu Jaber	🇯🇴 JORDAN	122	86.9%	0.13
55	A.Kshirsagar	🇮🇳 INDIA	106	86.8%	0.16
56	V.Shah	🇮🇳 INDIA	106	86.8%	0.16
57	A.Mandelot	🇧🇷 BRAZIL	114	86.8%	0.17
58	H.Nogueira	🇧🇷 BRAZIL	114	86.8%	0.17
59	S.Dewi	🇮🇩 INDONESIA	150	86.7%	0.14
60	K.Murniati	🇮🇩 INDONESIA	150	86.7%	0.14
61	C.Ferlazzo	🇮🇹 ITALY	127	86.6%	0.14
62	G.Manara	🇮🇹 ITALY	127	86.6%	0.14
63	M.Bourke	🇦🇺 AUSTRALIA	97	86.6%	0.17
64	S.Lusk	🇦🇺 AUSTRALIA	97	86.6%	0.17
65	B.Cronier	🇫🇷 FRANCE	139	86.3%	0.17
66	S.Willard	🇫🇷 FRANCE	139	86.3%	0.17
67	M.Nosacki	🇮🇱 ISRAEL	86	86.0%	0.22
68	N.Saada	🇮🇱 ISRAEL	86	86.0%	0.22
69	R.Foster	🇨🇦 CANADA	106	85.8%	0.16
70	L.Mcdonald	🇨🇦 CANADA	106	85.8%	0.16
71	M.Espinosa-Paz	🇦🇷 ARGENTINA	90	85.6%	0.16
72	M.Previde	🇦🇷 ARGENTINA	90	85.6%	0.16
73	I.Baroni	🇮🇹 ITALY	117	85.5%	0.24
74	C.Golin	🇮🇹 ITALY	117	85.5%	0.24
75	D.Rakhmani	🇷🇺 RUSSIA	96	85.4%	0.19
76	M.Yakovleva	🇷🇺 RUSSIA	96	85.4%	0.19
77	A.Rosetta	🇮🇹 ITALY	101	85.1%	0.17
78	M.Vanuzzi	🇮🇹 ITALY	101	85.1%	0.17
79	L.Pain	🇧🇷 BRAZIL	99	84.8%	0.20
80	I.Vargas De Andrade	🇧🇷 BRAZIL	99	84.8%	0.20
81	S.Penfold	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	102	84.3%	0.20
82	N.Senior	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	102	84.3%	0.20
83	B.Bryant	🇨🇦 CANADA	120	84.2%	0.17
84	P.Nisbet	🇨🇦 CANADA	120	84.2%	0.17
85	H.Hachimi	🇲🇦 MOROCCO	133	84.2%	0.19
86	R.Hamamsi	🇲🇦 MOROCCO	133	84.2%	0.19
87	C.Ginsberg	🇦🇺 AUSTRALIA	132	84.1%	0.20
88	B.Travis	🇦🇺 AUSTRALIA	132	84.1%	0.20
89	M.Homsy	🇪🇬 EGYPT	169	84.0%	0.19
90	M.Garateguy	🇦🇷 ARGENTINA	124	83.9%	0.18
91	M.Iacapraro	🇦🇷 ARGENTINA	124	83.9%	0.18
92	C.Gibbons	🇳🇿 NEW ZEALAND	124	83.9%	0.21
93	J.Gibbons	🇳🇿 NEW ZEALAND	124	83.9%	0.21
94	C.Audiche	🇪🇬 EGYPT	159	83.0%	0.20
95	W.Liu	🇹🇼 CHINESE TAIPEI	98	82.7%	0.20
96	Y.Lu	🇹🇼 CHINESE TAIPEI	98	82.7%	0.20
97	F.Lahlou	🇲🇦 MOROCCO	86	82.6%	0.17
98	S.Teber	🇲🇦 MOROCCO	86	82.6%	0.17
99	M.Bookallil	🇦🇺 AUSTRALIA	121	82.6%	0.19
100	J.Tutty	🇦🇺 AUSTRALIA	121	82.6%	0.19
101	B.Naidoo	🇮🇳 INDIA	97	82.5%	0.19
102	S.Vasanth	🇮🇳 INDIA	97	82.5%	0.19
103	V.Reess	🇫🇷 FRANCE	97	82.5%	0.21
104	J.Zochowska	🇫🇷 FRANCE	97	82.5%	0.21
105	B.De Young	🇺🇸 USA2	113	82.3%	0.20
106	I.Kislitsyna	🇺🇸 USA2	113	82.3%	0.20
107	D.Tal	🇮🇱 ISRAEL	139	82.0%	0.21
108	N.Tal	🇮🇱 ISRAEL	139	82.0%	0.21
109	N.Gawel	🇵🇱 POLAND	105	81.0%	0.26
110	A.Jarosz	🇵🇱 POLAND	105	81.0%	0.26
111	H.Wolpert	🇨🇦 CANADA	115	80.9%	0.23
112	L.Wynston	🇨🇦 CANADA	115	80.9%	0.23
113	P.Correa	🇧🇷 BRAZIL	110	80.9%	0.24
114	S.De Mello	🇧🇷 BRAZIL	110	80.9%	0.24
115	S.Humphries	🇳🇿 NEW ZEALAND	149	80.5%	0.22
116	S.Jacob	🇳🇿 NEW ZEALAND	149	80.5%	0.22
117	L.Kabbaj	🇲🇦 MOROCCO	110	79.1%	0.27
118	G.Nabil	🇲🇦 MOROCCO	110	79.1%	0.27
119	A.Qashu	🇯🇴 JORDAN	127	78.7%	0.24
120	R.Saket	🇯🇴 JORDAN	127	78.7%	0.24
121	C.Baldysz	🇵🇱 POLAND	93	78.5%	0.23
122	Z.Baldysz	🇵🇱 POLAND	93	78.5%	0.23
123	D.Al-Taher	🇯🇴 JORDAN	102	76.5%	0.24
124	H.Saket	🇯🇴 JORDAN	102	76.5%	0.24
125	V.Cornell	🇳🇿 NEW ZEALAND	81	75.3%	0.35
126	S.Newton	🇳🇿 NEW ZEALAND	81	75.3%	0.35
127	R.Andhani	🇮🇩 INDONESIA	42	90.5%	0.10
128	C.Sumampouw	🇮🇩 INDONESIA	42	90.5%	0.10
129	S.Cappelletti	🇺🇸 USA1	66	86.4%	0.18
130	J.Weingold	🇺🇸 USA1	66	86.4%	0.18
131	L.Khalil	🇪🇬 EGYPT	18	83.3%	0.22

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	Y.Huang	🇨🇳 CHINA	208	-0.02	+0.89	+0.87	·
2	N.Wang	🇨🇳 CHINA	208	-0.02	+0.89	+0.87	·
3	SHEN (1) Qi	🇨🇳 CHINA	208	+0.15	+0.72	+0.87	▲2
4	W.Wang	🇨🇳 CHINA	208	+0.15	+0.72	+0.87	▲2
5	I.Gronkvist	🇸🇪 SWEDEN	224	+0.06	+0.64	+0.70	▲6
6	C.Rimstedt	🇸🇪 SWEDEN	224	+0.06	+0.64	+0.70	▲6
7	E.Ovelius	🇸🇪 SWEDEN	224	-0.00	+0.65	+0.64	▲2
8	S.Rimstedt	🇸🇪 SWEDEN	224	-0.00	+0.65	+0.64	▲2
9	M.Bruijnsteen	🇳🇱 NETHERLANDS	224	-0.25	+0.81	+0.56	▼6
10	L.Dekkers	🇳🇱 NETHERLANDS	224	-0.25	+0.81	+0.56	▼6
11	D.Tal	🇮🇱 ISRAEL	272	+0.02	+0.53	+0.54	▲6
12	N.Tal	🇮🇱 ISRAEL	272	+0.02	+0.53	+0.54	▲6
13	V.Gromova	🇷🇺 RUSSIA	224	-0.01	+0.54	+0.53	▲2
14	T.Ponomareva	🇷🇺 RUSSIA	224	-0.01	+0.54	+0.53	▲2
15	C.Arnolds	🇳🇱 NETHERLANDS	208	+0.14	+0.37	+0.51	▲14
16	M.Verbeek	🇳🇱 NETHERLANDS	208	+0.14	+0.37	+0.51	▲14
17	K.Dufrat	🇵🇱 POLAND	272	+0.03	+0.47	+0.50	▲6
18	J.Zmuda	🇵🇱 POLAND	272	+0.03	+0.47	+0.50	▲6
19	S.Penfold	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	208	-0.20	+0.69	+0.50	▼12
20	N.Senior	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	208	-0.20	+0.69	+0.50	▼12
21	A.Gulevich	🇷🇺 RUSSIA	240	+0.00	+0.49	+0.49	▼2
22	E.Khonicheva	🇷🇺 RUSSIA	240	+0.00	+0.49	+0.49	▼2
23	S.Brock	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	224	+0.07	+0.39	+0.45	▲4
24	F.Brown	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	224	+0.07	+0.39	+0.45	▲4
25	L.Bojoh	🇮🇩 INDONESIA	304	-0.12	+0.56	+0.43	▼12
26	J.Tueje	🇮🇩 INDONESIA	304	-0.12	+0.56	+0.43	▼12
27	A.Asulin	🇮🇱 ISRAEL	240	-0.04	+0.41	+0.37	▼2
28	H.Levi	🇮🇱 ISRAEL	240	-0.04	+0.41	+0.37	▼2
29	D.Rakhmani	🇷🇺 RUSSIA	208	-0.04	+0.37	+0.33	▲2
30	M.Yakovleva	🇷🇺 RUSSIA	208	-0.04	+0.37	+0.33	▲2
31	P.Andersson	🇸🇪 SWEDEN	224	-0.17	+0.49	+0.32	▼10
32	K.Bertheau	🇸🇪 SWEDEN	224	-0.17	+0.49	+0.32	▼10
33	B.Palmer	🇺🇸 USA1	288	+0.03	+0.29	+0.32	▲2
34	S.Shi	🇺🇸 USA1	288	+0.03	+0.29	+0.32	▲2
35	C.Ginsberg	🇦🇺 AUSTRALIA	256	-0.02	+0.32	+0.29	▼2
36	B.Travis	🇦🇺 AUSTRALIA	256	-0.02	+0.32	+0.29	▼2
37	A.Rosetta	🇮🇹 ITALY	208	+0.03	+0.25	+0.28	·
38	M.Vanuzzi	🇮🇹 ITALY	208	+0.03	+0.25	+0.28	·
39	C.Baldysz	🇵🇱 POLAND	192	+0.03	+0.23	+0.26	▲2
40	Z.Baldysz	🇵🇱 POLAND	192	+0.03	+0.23	+0.26	▲2
41	J.Meyers	🇺🇸 USA1	256	+0.02	+0.23	+0.25	▼2
42	M.Zur-Campanile	🇺🇸 USA1	256	+0.02	+0.23	+0.25	▼2
43	C.Ferlazzo	🇮🇹 ITALY	240	+0.00	+0.21	+0.21	▲2
44	G.Manara	🇮🇹 ITALY	240	+0.00	+0.21	+0.21	▲2
45	C.Draper	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	240	+0.09	+0.12	+0.21	▲6
46	N.Smith	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	240	+0.09	+0.12	+0.21	▲6
47	B.Jenkins	🇺🇸 USA2	208	-0.02	+0.22	+0.20	▼4
48	S.Winestock	🇺🇸 USA2	208	-0.02	+0.22	+0.20	▼4
49	S.Dewi	🇮🇩 INDONESIA	272	+0.13	+0.03	+0.16	▲8
50	K.Murniati	🇮🇩 INDONESIA	272	+0.13	+0.03	+0.16	▲8
51	V.Reess	🇫🇷 FRANCE	224	+0.10	+0.06	+0.16	▲2
52	J.Zochowska	🇫🇷 FRANCE	224	+0.10	+0.06	+0.16	▲2
53	M.Nosacki	🇮🇱 ISRAEL	160	+0.11	+0.02	+0.13	▲8
54	N.Saada	🇮🇱 ISRAEL	160	+0.11	+0.02	+0.13	▲8
55	Y.Liu	🇨🇳 CHINA	256	-0.12	+0.20	+0.08	▼8
56	Y.Lu	🇨🇳 CHINA	256	-0.12	+0.20	+0.08	▼8
57	Y.Chen	🇹🇼 CHINESE TAIPEI	224	+0.18	-0.11	+0.07	▲23
58	Y.Lin	🇹🇼 CHINESE TAIPEI	224	+0.18	-0.11	+0.07	▲23
59	E.Alegre	🇦🇷 ARGENTINA	224	+0.08	-0.01	+0.07	▲4
60	F.Herrera	🇦🇷 ARGENTINA	224	+0.08	-0.01	+0.07	▲4
61	L.Pain	🇧🇷 BRAZIL	208	+0.03	+0.04	+0.07	▼6
62	I.Vargas De Andrade	🇧🇷 BRAZIL	208	+0.03	+0.04	+0.07	▼6
63	A.Huberschwiller	🇫🇷 FRANCE	192	-0.10	+0.13	+0.03	▼14
64	J.Mourgues	🇫🇷 FRANCE	192	-0.10	+0.13	+0.03	▼14
65	M.Espinosa-Paz	🇦🇷 ARGENTINA	208	-0.01	+0.03	+0.02	▼6
66	M.Previde	🇦🇷 ARGENTINA	208	-0.01	+0.03	+0.02	▼6
67	M.Ticha	🇳🇱 NETHERLANDS	240	+0.02	-0.02	+0.00	·
68	W.Van Zwol	🇳🇱 NETHERLANDS	240	+0.02	-0.02	+0.00	·
69	I.Baroni	🇮🇹 ITALY	224	-0.02	-0.04	-0.06	▲2
70	C.Golin	🇮🇹 ITALY	224	-0.02	-0.04	-0.06	▲2
71	B.Cronier	🇫🇷 FRANCE	256	+0.03	-0.10	-0.07	▲7
72	S.Willard	🇫🇷 FRANCE	256	+0.03	-0.10	-0.07	▲7
73	C.Goldberg	🇺🇸 USA2	240	+0.11	-0.19	-0.07	▲13
74	S.Moss	🇺🇸 USA2	240	+0.11	-0.19	-0.07	▲13
75	P.Correa	🇧🇷 BRAZIL	240	-0.00	-0.09	-0.09	▲1
76	S.De Mello	🇧🇷 BRAZIL	240	-0.00	-0.09	-0.09	▲1
77	S.Humphries	🇳🇿 NEW ZEALAND	272	-0.09	-0.02	-0.11	▼8
78	S.Jacob	🇳🇿 NEW ZEALAND	272	-0.09	-0.02	-0.11	▼8
79	M.Homsy	🇪🇬 EGYPT	336	+0.06	-0.17	-0.12	▲6
80	M.Garateguy	🇦🇷 ARGENTINA	240	-0.11	-0.01	-0.12	▼15
81	M.Iacapraro	🇦🇷 ARGENTINA	240	-0.11	-0.01	-0.12	▼15
82	H.So	🇹🇼 CHINESE TAIPEI	256	-0.00	-0.13	-0.13	·
83	Y.Wu	🇹🇼 CHINESE TAIPEI	256	-0.00	-0.13	-0.13	·
84	B.Bryant	🇨🇦 CANADA	224	+0.07	-0.22	-0.15	▲4
85	P.Nisbet	🇨🇦 CANADA	224	+0.07	-0.22	-0.15	▲4
86	N.Wattar	🇪🇬 EGYPT	320	-0.08	-0.07	-0.15	▼11
87	C.Audiche	🇪🇬 EGYPT	320	+0.08	-0.23	-0.15	▲3
88	M.Khouri	🇪🇬 EGYPT	336	-0.07	-0.15	-0.21	▼4
89	N.Gawel	🇵🇱 POLAND	208	-0.19	-0.06	-0.25	▼16
90	A.Jarosz	🇵🇱 POLAND	208	-0.19	-0.06	-0.25	▼16
91	M.Bookallil	🇦🇺 AUSTRALIA	224	+0.14	-0.42	-0.28	▲12
92	J.Tutty	🇦🇺 AUSTRALIA	224	+0.14	-0.42	-0.28	▲12
93	M.Bourke	🇦🇺 AUSTRALIA	192	-0.06	-0.29	-0.35	▼2
94	S.Lusk	🇦🇺 AUSTRALIA	192	-0.06	-0.29	-0.35	▼2
95	H.Hachimi	🇲🇦 MOROCCO	240	+0.03	-0.39	-0.36	▲4
96	R.Hamamsi	🇲🇦 MOROCCO	240	+0.03	-0.39	-0.36	▲4
97	L.Kabbaj	🇲🇦 MOROCCO	224	-0.02	-0.35	-0.37	▼2
98	G.Nabil	🇲🇦 MOROCCO	224	-0.02	-0.35	-0.37	▼2
99	W.Liu	🇹🇼 CHINESE TAIPEI	192	-0.08	-0.32	-0.40	▼6
100	Y.Lu	🇹🇼 CHINESE TAIPEI	192	-0.08	-0.32	-0.40	▼6
101	B.De Young	🇺🇸 USA2	224	-0.05	-0.38	-0.43	▼4
102	I.Kislitsyna	🇺🇸 USA2	224	-0.05	-0.38	-0.43	▼4
103	C.Gibbons	🇳🇿 NEW ZEALAND	240	+0.01	-0.47	-0.46	▲2
104	J.Gibbons	🇳🇿 NEW ZEALAND	240	+0.01	-0.47	-0.46	▲2
105	A.Mandelot	🇧🇷 BRAZIL	224	-0.07	-0.40	-0.47	▼4
106	H.Nogueira	🇧🇷 BRAZIL	224	-0.07	-0.40	-0.47	▼4
107	A.Abu Jaber	🇯🇴 JORDAN	256	+0.14	-0.62	-0.48	▲4
108	Y.Abu Jaber	🇯🇴 JORDAN	256	+0.14	-0.62	-0.48	▲4
109	A.Qashu	🇯🇴 JORDAN	240	+0.00	-0.50	-0.50	·
110	R.Saket	🇯🇴 JORDAN	240	+0.00	-0.50	-0.50	·
111	F.Lahlou	🇲🇦 MOROCCO	208	-0.05	-0.50	-0.55	▼4
112	S.Teber	🇲🇦 MOROCCO	208	-0.05	-0.50	-0.55	▼4
113	A.Kshirsagar	🇮🇳 INDIA	208	+0.15	-0.78	-0.63	▲8
114	V.Shah	🇮🇳 INDIA	208	+0.15	-0.78	-0.63	▲8
115	V.Cornell	🇳🇿 NEW ZEALAND	160	+0.00	-0.69	-0.69	·
116	S.Newton	🇳🇿 NEW ZEALAND	160	+0.00	-0.69	-0.69	·
117	B.Naidoo	🇮🇳 INDIA	224	+0.06	-0.75	-0.70	▲2
118	S.Vasanth	🇮🇳 INDIA	224	+0.06	-0.75	-0.70	▲2
119	R.Bakeri	🇮🇳 INDIA	240	-0.10	-0.63	-0.73	▼6
120	M.Karmarkar	🇮🇳 INDIA	240	-0.10	-0.63	-0.73	▼6
121	R.Foster	🇨🇦 CANADA	224	+0.01	-0.74	-0.73	▼4
122	L.Mcdonald	🇨🇦 CANADA	224	+0.01	-0.74	-0.73	▼4
123	H.Wolpert	🇨🇦 CANADA	224	+0.09	-0.96	-0.87	·
124	L.Wynston	🇨🇦 CANADA	224	+0.09	-0.96	-0.87	·
125	D.Al-Taher	🇯🇴 JORDAN	176	+0.03	-1.75	-1.72	·
126	H.Saket	🇯🇴 JORDAN	176	+0.03	-1.75	-1.72	·

Stages

Statistics