Shanghai 2007 — player statistics

Four double-dummy measures per player plus bidding activity, over every board they played, and an opponent-adjusted (strength-of-schedule) Butler. Each table lists all players and is sortable by any column. Double-dummy is idealised — the true best play needs all four hands — so read these as tendencies, not verdicts.

Butler vs double-dummy par↑ top

IMPs per board scored above (+) or below (−) the board’s minimax par — what real bidding and play (theirs and the opponents’) added or gave away against perfect double-dummy play. Players with few boards are greyed. Click a column header to sort; filter by name or team.

#	Player	Team	Boards	/board	Total
1	C.D'Ovidio	🇫🇷 FRANCE	240	+1.20	+287.0
2	D.Gaviard	🇫🇷 FRANCE	240	+1.20	+287.0
3	H.Eythorsdottir	🇺🇸 USA 2	224	+1.17	+263.0
4	R.Pollack	🇺🇸 USA 2	224	+1.17	+263.0
5	S.Auken	🇩🇪 GERMANY	288	+1.11	+320.0
6	D.Von Arnim	🇩🇪 GERMANY	288	+1.11	+320.0
7	N.Bekkouche	🇩🇰 DENMARK	224	+0.93	+208.0
8	T.Binderkrantz	🇩🇰 DENMARK	224	+0.93	+208.0
9	D.Rosenberg	🇺🇸 USA 1	272	+0.82	+223.0
10	J.Stansby	🇺🇸 USA 1	272	+0.82	+223.0
11	W.Wang	🇨🇳 CHINA GLOBAL TIMES	208	+0.80	+166.0
12	N.Ezz El-Din	🇪🇬 EGYPT	160	+0.76	+122.0
13	N.Omar	🇪🇬 EGYPT	160	+0.76	+122.0
14	J.Pasman	🇳🇱 NETHERLANDS	224	+0.69	+155.0
15	A.Simons	🇳🇱 NETHERLANDS	224	+0.69	+155.0
16	B.Hackett	🇩🇪 GERMANY	176	+0.63	+111.0
17	P.Nehmert	🇩🇪 GERMANY	176	+0.63	+111.0
18	M.Sun	🇨🇳 CHINA GLOBAL TIMES	224	+0.60	+135.0
19	J.Levin	🇺🇸 USA 1	288	+0.57	+163.0
20	J.Meyers	🇺🇸 USA 1	288	+0.57	+163.0
21	T.Del Gallego	🇵🇭 PHILIPPINES	256	+0.56	+144.0
22	S.Picus	🇺🇸 USA 2	224	+0.53	+119.0
23	S.Quinn	🇺🇸 USA 2	224	+0.53	+119.0
24	C.Jagger	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	192	+0.53	+101.0
25	S.Teshome	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	192	+0.53	+101.0
26	L.Gu	🇨🇳 CHINA GLOBAL TIMES	224	+0.44	+99.0
27	Y.Zhang	🇨🇳 CHINA GLOBAL TIMES	224	+0.44	+99.0
28	C.Feitelson	🇦🇺 AUSTRALIA	176	+0.39	+69.0
29	C.Mill	🇦🇺 AUSTRALIA	176	+0.39	+69.0
30	S.Mello	🇧🇷 BRAZIL	240	+0.37	+88.0
31	L.Pain	🇧🇷 BRAZIL	240	+0.37	+88.0
32	I.Brisebois	🇨🇦 CANADA	208	+0.35	+73.0
33	S.Summers-Caley	🇨🇦 CANADA	208	+0.35	+73.0
34	K.Banno	🇯🇵 JAPAN	224	+0.26	+59.0
35	M.Tan	🇯🇵 JAPAN	224	+0.26	+59.0
36	Y.Liu	🇨🇳 CHINA GLOBAL TIMES	224	+0.24	+54.0
37	L.Lee	🇨🇦 CANADA	224	+0.24	+54.0
38	P.Nisbet	🇨🇦 CANADA	224	+0.24	+54.0
39	S.Dewi	🇮🇩 INDONESIA	240	+0.23	+55.0
40	K.Murniati	🇮🇩 INDONESIA	240	+0.23	+55.0
41	H.Dhondy	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	272	+0.18	+49.0
42	N.Smith	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	272	+0.18	+49.0
43	F.Cimon	🇨🇦 CANADA	240	+0.18	+43.0
44	J.Fajgelzon	🇨🇦 CANADA	240	+0.18	+43.0
45	R.Choksi	🇮🇳 INDIA	224	+0.16	+35.0
46	L.Mayadas	🇮🇳 INDIA	224	+0.16	+35.0
47	K.Shimamura	🇯🇵 JAPAN	224	+0.11	+24.0
48	M.Tajima	🇯🇵 JAPAN	224	+0.11	+24.0
49	H.Wang	🇨🇳 CHINA GLOBAL TIMES	240	+0.10	+23.0
50	D.Adrain	🇿🇦 SOUTH AFRICA	224	+0.09	+20.0
51	M.Hulett	🇿🇦 SOUTH AFRICA	224	+0.09	+20.0
52	S.Newton	🇳🇿 NEW ZEALAND	256	+0.07	+19.0
53	L.Khalil	🇪🇬 EGYPT	304	+0.06	+18.0
54	M.Khouri	🇪🇬 EGYPT	304	+0.06	+18.0
55	M.Michielsen	🇳🇱 NETHERLANDS	208	+0.05	+11.0
56	M.Wortel	🇳🇱 NETHERLANDS	208	+0.05	+11.0
57	I.Korengkeng	🇮🇩 INDONESIA	224	+0.05	+11.0
58	C.Sumampouw	🇮🇩 INDONESIA	224	+0.05	+11.0
59	H.Deora	🇮🇳 INDIA	224	+0.04	+9.0
60	M.Karmarkar	🇮🇳 INDIA	224	+0.04	+9.0
61	R.Muller	🇭🇷 CROATIA	192	+0.01	+1.0
62	I.Petrovic	🇭🇷 CROATIA	192	+0.01	+1.0
63	J.Wilkinson	🇳🇿 NEW ZEALAND	272	-0.01	-2.0
64	J.Alabaster	🇳🇿 NEW ZEALAND	256	-0.03	-7.0
65	J.Cormack	🇳🇿 NEW ZEALAND	256	-0.03	-7.0
66	P.Lin	🇵🇭 PHILIPPINES	288	-0.03	-10.0
67	S.Boldt	🇦🇷 ARGENTINA	240	-0.05	-12.0
68	G.Iribarren	🇦🇷 ARGENTINA	240	-0.05	-12.0
69	C.Arnolds	🇳🇱 NETHERLANDS	240	-0.10	-23.0
70	B.Vriend	🇳🇱 NETHERLANDS	240	-0.10	-23.0
71	F.Mayer	🇵🇭 PHILIPPINES	240	-0.10	-25.0
72	M.Brunner	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	208	-0.12	-24.0
73	R.Goldenfield	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	208	-0.12	-24.0
74	A.Buus Thomsen	🇩🇰 DENMARK	224	-0.12	-28.0
75	H.Rasmussen	🇩🇰 DENMARK	224	-0.12	-28.0
76	P.Pecina	🇭🇷 CROATIA	176	-0.12	-22.0
77	S.Ruso	🇭🇷 CROATIA	176	-0.12	-22.0
78	A.Qashu	🇯🇴 JORDAN	224	-0.13	-29.0
79	H.Zabaneh	🇯🇴 JORDAN	224	-0.13	-29.0
80	J.Pacheco	🇧🇷 BRAZIL	240	-0.16	-39.0
81	I.Vargas De Andrade	🇧🇷 BRAZIL	240	-0.16	-39.0
82	R.Kaplan	🇦🇺 AUSTRALIA	240	-0.19	-46.0
83	P.Schroor	🇦🇺 AUSTRALIA	240	-0.19	-46.0
84	B.Cronier	🇫🇷 FRANCE	256	-0.21	-53.0
85	S.Willard	🇫🇷 FRANCE	256	-0.21	-53.0
86	C.Fishpool	🇫🇷 FRANCE	176	-0.22	-38.0
87	F.Pigeaud	🇫🇷 FRANCE	176	-0.22	-38.0
88	N.Hamdy	🇪🇬 EGYPT	208	-0.22	-46.0
89	S.Sarwat	🇪🇬 EGYPT	208	-0.22	-46.0
90	G.Tan	🇵🇭 PHILIPPINES	320	-0.25	-79.0
91	M.Garateguy	🇦🇷 ARGENTINA	224	-0.26	-58.0
92	M.Iacapraro	🇦🇷 ARGENTINA	224	-0.26	-58.0
93	F.Mondor	🇬🇵 GUADELOUPE	224	-0.28	-63.0
94	C.Rey	🇬🇵 GUADELOUPE	224	-0.28	-63.0
95	J.Gibbons	🇳🇿 NEW ZEALAND	144	-0.28	-41.0
96	P.Correa	🇧🇷 BRAZIL	192	-0.33	-64.0
97	L.Doria	🇧🇷 BRAZIL	192	-0.33	-64.0
98	M.Antonini	🇦🇷 ARGENTINA	208	-0.35	-72.0
99	M.Espinosa-Paz	🇦🇷 ARGENTINA	208	-0.35	-72.0
100	C.Gibbons	🇳🇿 NEW ZEALAND	160	-0.39	-62.0
101	U.Kabra	🇮🇳 INDIA	224	-0.39	-88.0
102	S.Thadani	🇮🇳 INDIA	224	-0.39	-88.0
103	A.Abu Jaber	🇯🇴 JORDAN	208	-0.43	-90.0
104	V.Egan	🇵🇭 PHILIPPINES	208	-0.44	-91.0
105	M.Pilipovic	🇭🇷 CROATIA	304	-0.46	-140.0
106	N.Sver	🇭🇷 CROATIA	304	-0.46	-140.0
107	A.Alberti	🇩🇪 GERMANY	208	-0.47	-97.0
108	M.Schraverus-Meuer	🇩🇪 GERMANY	208	-0.47	-97.0
109	Y.Khattak	🇯🇴 JORDAN	224	-0.48	-107.0
110	R.Bernstein	🇿🇦 SOUTH AFRICA	224	-0.56	-126.0
111	G.Sandler	🇿🇦 SOUTH AFRICA	224	-0.56	-126.0
112	F.Damayanti	🇮🇩 INDONESIA	208	-0.60	-124.0
113	RIANTINI -	🇮🇩 INDONESIA	208	-0.60	-124.0
114	E.Havas	🇦🇺 AUSTRALIA	256	-0.60	-153.0
115	B.Travis	🇦🇺 AUSTRALIA	256	-0.60	-153.0
116	C.Bjerkan	🇺🇸 USA 2	224	-0.73	-163.0
117	K.Sanborn	🇺🇸 USA 2	224	-0.73	-163.0
118	D.Balkin	🇿🇦 SOUTH AFRICA	224	-0.73	-164.0
119	P.Banducci	🇿🇦 SOUTH AFRICA	224	-0.73	-164.0
120	S.Farholt	🇩🇰 DENMARK	224	-0.77	-172.0
121	M.Rahelt	🇩🇰 DENMARK	224	-0.77	-172.0
122	C.Bistoquet	🇬🇵 GUADELOUPE	224	-0.88	-198.0
123	C.Thirion	🇬🇵 GUADELOUPE	224	-0.88	-198.0
124	H.Ota	🇯🇵 JAPAN	224	-0.93	-208.0
125	N.Setoguchi	🇯🇵 JAPAN	224	-0.93	-208.0
126	M.Abu Garbieh	🇯🇴 JORDAN	240	-1.21	-290.0
127	M.Al Bitar	🇯🇴 JORDAN	224	-1.22	-273.0
128	N.Kvasnikoff	🇬🇵 GUADELOUPE	224	-1.43	-321.0
129	M.Peli	🇬🇵 GUADELOUPE	224	-1.43	-321.0
130	C.Velhagen	🇵🇭 PHILIPPINES	32	+0.59	+19.0
131	I.Levitina	🇺🇸 USA 1	112	+0.38	+43.0
132	H.Narasimhan	🇺🇸 USA 1	112	+0.38	+43.0

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	I.Petrovic	🇭🇷 CROATIA	29	96.6%	0.03
2	C.Jagger	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	27	96.3%	0.04
3	S.Ruso	🇭🇷 CROATIA	26	96.2%	0.08
4	B.Hackett	🇩🇪 GERMANY	24	95.8%	0.04
5	F.Mayer	🇵🇭 PHILIPPINES	40	95.0%	0.05
6	N.Kvasnikoff	🇬🇵 GUADELOUPE	38	94.7%	0.08
7	M.Al Bitar	🇯🇴 JORDAN	35	94.3%	0.06
8	C.Arnolds	🇳🇱 NETHERLANDS	32	93.8%	0.06
9	J.Fajgelzon	🇨🇦 CANADA	44	93.2%	0.09
10	P.Nehmert	🇩🇪 GERMANY	28	92.9%	0.07
11	S.Picus	🇺🇸 USA 2	28	92.9%	0.11
12	P.Nisbet	🇨🇦 CANADA	41	92.7%	0.07
13	N.Smith	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	41	92.7%	0.07
14	S.Thadani	🇮🇳 INDIA	41	92.7%	0.07
15	N.Setoguchi	🇯🇵 JAPAN	26	92.3%	0.08
16	A.Buus Thomsen	🇩🇰 DENMARK	51	92.2%	0.08
17	F.Cimon	🇨🇦 CANADA	35	91.4%	0.09
18	M.Brunner	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	35	91.4%	0.09
19	M.Iacapraro	🇦🇷 ARGENTINA	41	90.2%	0.10
20	A.Qashu	🇯🇴 JORDAN	30	90.0%	0.13
21	J.Alabaster	🇳🇿 NEW ZEALAND	49	89.8%	0.10
22	C.Gibbons	🇳🇿 NEW ZEALAND	29	89.7%	0.14
23	I.Vargas De Andrade	🇧🇷 BRAZIL	48	89.6%	0.10
24	S.Quinn	🇺🇸 USA 2	38	89.5%	0.10
25	L.Doria	🇧🇷 BRAZIL	28	89.3%	0.11
26	V.Egan	🇵🇭 PHILIPPINES	37	89.2%	0.11
27	P.Banducci	🇿🇦 SOUTH AFRICA	36	88.9%	0.11
28	J.Pacheco	🇧🇷 BRAZIL	35	88.6%	0.11
29	M.Espinosa-Paz	🇦🇷 ARGENTINA	35	88.6%	0.14
30	M.Garateguy	🇦🇷 ARGENTINA	26	88.5%	0.12
31	A.Alberti	🇩🇪 GERMANY	26	88.5%	0.15
32	B.Travis	🇦🇺 AUSTRALIA	34	88.2%	0.12
33	M.Sun	🇨🇳 CHINA GLOBAL TIMES	42	88.1%	0.14
34	J.Meyers	🇺🇸 USA 1	50	88.0%	0.12
35	L.Khalil	🇪🇬 EGYPT	57	87.7%	0.14
36	M.Khouri	🇪🇬 EGYPT	57	87.7%	0.14
37	R.Muller	🇭🇷 CROATIA	32	87.5%	0.12
38	Y.Khattak	🇯🇴 JORDAN	40	87.5%	0.12
39	F.Damayanti	🇮🇩 INDONESIA	32	87.5%	0.19
40	L.Lee	🇨🇦 CANADA	39	87.2%	0.15
41	I.Korengkeng	🇮🇩 INDONESIA	39	87.2%	0.20
42	A.Abu Jaber	🇯🇴 JORDAN	46	87.0%	0.15
43	I.Brisebois	🇨🇦 CANADA	46	87.0%	0.17
44	A.Simons	🇳🇱 NETHERLANDS	38	86.8%	0.13
45	S.Sarwat	🇪🇬 EGYPT	38	86.8%	0.16
46	J.Cormack	🇳🇿 NEW ZEALAND	45	86.7%	0.16
47	R.Bernstein	🇿🇦 SOUTH AFRICA	45	86.7%	0.16
48	U.Kabra	🇮🇳 INDIA	37	86.5%	0.14
49	J.Stansby	🇺🇸 USA 1	44	86.4%	0.14
50	H.Dhondy	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	44	86.4%	0.16
51	K.Murniati	🇮🇩 INDONESIA	57	86.0%	0.16
52	S.Summers-Caley	🇨🇦 CANADA	43	86.0%	0.16
53	G.Sandler	🇿🇦 SOUTH AFRICA	42	85.7%	0.14
54	P.Pecina	🇭🇷 CROATIA	28	85.7%	0.18
55	M.Michielsen	🇳🇱 NETHERLANDS	34	85.3%	0.18
56	H.Ota	🇯🇵 JAPAN	27	85.2%	0.15
57	Y.Liu	🇨🇳 CHINA GLOBAL TIMES	40	85.0%	0.23
58	J.Levin	🇺🇸 USA 1	53	84.9%	0.15
59	K.Banno	🇯🇵 JAPAN	33	84.8%	0.18
60	N.Omar	🇪🇬 EGYPT	32	84.4%	0.16
61	M.Tajima	🇯🇵 JAPAN	45	84.4%	0.16
62	T.Binderkrantz	🇩🇰 DENMARK	44	84.1%	0.16
63	C.Feitelson	🇦🇺 AUSTRALIA	31	83.9%	0.16
64	N.Hamdy	🇪🇬 EGYPT	37	83.8%	0.16
65	M.Abu Garbieh	🇯🇴 JORDAN	37	83.8%	0.16
66	RIANTINI -	🇮🇩 INDONESIA	37	83.8%	0.22
67	K.Shimamura	🇯🇵 JAPAN	49	83.7%	0.16
68	D.Balkin	🇿🇦 SOUTH AFRICA	43	83.7%	0.19
69	E.Havas	🇦🇺 AUSTRALIA	49	83.7%	0.20
70	F.Pigeaud	🇫🇷 FRANCE	30	83.3%	0.17
71	G.Iribarren	🇦🇷 ARGENTINA	42	83.3%	0.17
72	D.Gaviard	🇫🇷 FRANCE	36	83.3%	0.19
73	J.Pasman	🇳🇱 NETHERLANDS	42	83.3%	0.24
74	M.Tan	🇯🇵 JAPAN	35	82.9%	0.17
75	H.Wang	🇨🇳 CHINA GLOBAL TIMES	41	82.9%	0.20
76	N.Bekkouche	🇩🇰 DENMARK	41	82.9%	0.22
77	H.Eythorsdottir	🇺🇸 USA 2	46	82.6%	0.17
78	S.Teshome	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	40	82.5%	0.17
79	S.Willard	🇫🇷 FRANCE	40	82.5%	0.23
80	S.Newton	🇳🇿 NEW ZEALAND	51	82.4%	0.22
81	P.Lin	🇵🇭 PHILIPPINES	51	82.4%	0.22
82	F.Mondor	🇬🇵 GUADELOUPE	28	82.1%	0.18
83	M.Pilipovic	🇭🇷 CROATIA	56	82.1%	0.20
84	C.Sumampouw	🇮🇩 INDONESIA	39	82.1%	0.20
85	M.Peli	🇬🇵 GUADELOUPE	33	81.8%	0.18
86	D.Rosenberg	🇺🇸 USA 1	55	81.8%	0.20
87	R.Pollack	🇺🇸 USA 2	38	81.6%	0.21
88	S.Auken	🇩🇪 GERMANY	54	81.5%	0.20
89	P.Schroor	🇦🇺 AUSTRALIA	43	81.4%	0.19
90	C.Mill	🇦🇺 AUSTRALIA	43	81.4%	0.23
91	H.Zabaneh	🇯🇴 JORDAN	43	81.4%	0.23
92	R.Kaplan	🇦🇺 AUSTRALIA	32	81.2%	0.19
93	C.Bjerkan	🇺🇸 USA 2	32	81.2%	0.25
94	N.Sver	🇭🇷 CROATIA	53	81.1%	0.23
95	H.Deora	🇮🇳 INDIA	42	81.0%	0.21
96	M.Antonini	🇦🇷 ARGENTINA	26	80.8%	0.23
97	L.Gu	🇨🇳 CHINA GLOBAL TIMES	41	80.5%	0.20
98	R.Choksi	🇮🇳 INDIA	41	80.5%	0.22
99	G.Tan	🇵🇭 PHILIPPINES	60	80.0%	0.22
100	S.Mello	🇧🇷 BRAZIL	50	80.0%	0.22
101	Y.Zhang	🇨🇳 CHINA GLOBAL TIMES	45	80.0%	0.22
102	L.Pain	🇧🇷 BRAZIL	40	80.0%	0.23
103	N.Ezz El-Din	🇪🇬 EGYPT	25	80.0%	0.40
104	B.Cronier	🇫🇷 FRANCE	43	79.1%	0.23
105	S.Boldt	🇦🇷 ARGENTINA	43	79.1%	0.23
106	M.Karmarkar	🇮🇳 INDIA	42	78.6%	0.29
107	T.Del Gallego	🇵🇭 PHILIPPINES	37	78.4%	0.22
108	D.Von Arnim	🇩🇪 GERMANY	37	78.4%	0.24
109	D.Adrain	🇿🇦 SOUTH AFRICA	46	78.3%	0.24
110	P.Correa	🇧🇷 BRAZIL	32	78.1%	0.22
111	C.Thirion	🇬🇵 GUADELOUPE	41	78.0%	0.22
112	C.Bistoquet	🇬🇵 GUADELOUPE	40	77.5%	0.23
113	J.Wilkinson	🇳🇿 NEW ZEALAND	52	76.9%	0.23
114	J.Gibbons	🇳🇿 NEW ZEALAND	26	76.9%	0.27
115	W.Wang	🇨🇳 CHINA GLOBAL TIMES	30	76.7%	0.23
116	R.Goldenfield	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	43	76.7%	0.28
117	H.Rasmussen	🇩🇰 DENMARK	38	76.3%	0.26
118	C.D'Ovidio	🇫🇷 FRANCE	42	76.2%	0.29
119	K.Sanborn	🇺🇸 USA 2	33	75.8%	0.24
120	M.Wortel	🇳🇱 NETHERLANDS	35	74.3%	0.26
121	M.Hulett	🇿🇦 SOUTH AFRICA	42	73.8%	0.29
122	M.Schraverus-Meuer	🇩🇪 GERMANY	38	73.7%	0.37
123	C.Fishpool	🇫🇷 FRANCE	34	73.5%	0.27
124	M.Rahelt	🇩🇰 DENMARK	41	73.2%	0.34
125	L.Mayadas	🇮🇳 INDIA	37	73.0%	0.32
126	S.Farholt	🇩🇰 DENMARK	33	72.7%	0.27
127	B.Vriend	🇳🇱 NETHERLANDS	29	72.4%	0.28
128	C.Rey	🇬🇵 GUADELOUPE	49	71.4%	0.31
129	S.Dewi	🇮🇩 INDONESIA	39	69.2%	0.33
130	I.Levitina	🇺🇸 USA 1	21	100.0%	0.00
131	H.Narasimhan	🇺🇸 USA 1	17	76.5%	0.35
132	C.Velhagen	🇵🇭 PHILIPPINES	10	50.0%	0.50

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.Jagger	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	36	88.9%	0.14
2	D.Von Arnim	🇩🇪 GERMANY	51	88.2%	0.14
3	Y.Liu	🇨🇳 CHINA GLOBAL TIMES	33	87.9%	0.12
4	H.Zabaneh	🇯🇴 JORDAN	32	87.5%	0.12
5	R.Choksi	🇮🇳 INDIA	39	87.2%	0.13
6	K.Shimamura	🇯🇵 JAPAN	31	87.1%	0.19
7	J.Levin	🇺🇸 USA 1	43	86.0%	0.21
8	S.Picus	🇺🇸 USA 2	43	86.0%	0.21
9	R.Goldenfield	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	28	85.7%	0.21
10	Y.Khattak	🇯🇴 JORDAN	34	85.3%	0.23
11	I.Petrovic	🇭🇷 CROATIA	27	85.2%	0.22
12	H.Wang	🇨🇳 CHINA GLOBAL TIMES	47	85.1%	0.19
13	C.Fishpool	🇫🇷 FRANCE	33	84.8%	0.30
14	M.Hulett	🇿🇦 SOUTH AFRICA	32	84.4%	0.19
15	K.Murniati	🇮🇩 INDONESIA	45	84.4%	0.22
16	J.Meyers	🇺🇸 USA 1	63	84.1%	0.16
17	M.Michielsen	🇳🇱 NETHERLANDS	30	83.3%	0.17
18	P.Pecina	🇭🇷 CROATIA	35	82.9%	0.17
19	L.Gu	🇨🇳 CHINA GLOBAL TIMES	34	82.4%	0.18
20	C.Rey	🇬🇵 GUADELOUPE	34	82.4%	0.18
21	H.Dhondy	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	51	82.4%	0.20
22	P.Nisbet	🇨🇦 CANADA	34	82.4%	0.21
23	S.Auken	🇩🇪 GERMANY	45	82.2%	0.20
24	M.Sun	🇨🇳 CHINA GLOBAL TIMES	39	82.1%	0.18
25	Y.Zhang	🇨🇳 CHINA GLOBAL TIMES	39	82.1%	0.20
26	J.Stansby	🇺🇸 USA 1	55	81.8%	0.22
27	R.Pollack	🇺🇸 USA 2	32	81.2%	0.22
28	P.Lin	🇵🇭 PHILIPPINES	53	81.1%	0.21
29	D.Rosenberg	🇺🇸 USA 1	47	80.9%	0.21
30	H.Eythorsdottir	🇺🇸 USA 2	36	80.6%	0.25
31	C.D'Ovidio	🇫🇷 FRANCE	31	80.6%	0.26
32	A.Qashu	🇯🇴 JORDAN	36	80.6%	0.28
33	C.Bistoquet	🇬🇵 GUADELOUPE	41	80.5%	0.27
34	S.Mello	🇧🇷 BRAZIL	46	80.4%	0.20
35	A.Alberti	🇩🇪 GERMANY	51	80.4%	0.23
36	D.Gaviard	🇫🇷 FRANCE	51	80.4%	0.31
37	M.Pilipovic	🇭🇷 CROATIA	54	79.6%	0.22
38	S.Quinn	🇺🇸 USA 2	44	79.5%	0.20
39	S.Boldt	🇦🇷 ARGENTINA	39	79.5%	0.28
40	K.Banno	🇯🇵 JAPAN	34	79.4%	0.21
41	J.Wilkinson	🇳🇿 NEW ZEALAND	58	79.3%	0.26
42	T.Del Gallego	🇵🇭 PHILIPPINES	47	78.7%	0.28
43	N.Hamdy	🇪🇬 EGYPT	28	78.6%	0.29
44	M.Espinosa-Paz	🇦🇷 ARGENTINA	42	78.6%	0.29
45	B.Cronier	🇫🇷 FRANCE	50	78.0%	0.26
46	M.Brunner	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	36	77.8%	0.22
47	C.Arnolds	🇳🇱 NETHERLANDS	36	77.8%	0.31
48	V.Egan	🇵🇭 PHILIPPINES	36	77.8%	0.31
49	K.Sanborn	🇺🇸 USA 2	49	77.6%	0.31
50	S.Newton	🇳🇿 NEW ZEALAND	40	77.5%	0.25
51	A.Simons	🇳🇱 NETHERLANDS	40	77.5%	0.30
52	H.Rasmussen	🇩🇰 DENMARK	40	77.5%	0.35
53	S.Summers-Caley	🇨🇦 CANADA	31	77.4%	0.23
54	M.Khouri	🇪🇬 EGYPT	62	77.4%	0.26
55	N.Setoguchi	🇯🇵 JAPAN	44	77.3%	0.25
56	S.Teshome	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	35	77.1%	0.29
57	F.Pigeaud	🇫🇷 FRANCE	30	76.7%	0.27
58	M.Karmarkar	🇮🇳 INDIA	43	76.7%	0.28
59	G.Sandler	🇿🇦 SOUTH AFRICA	38	76.3%	0.26
60	M.Iacapraro	🇦🇷 ARGENTINA	46	76.1%	0.30
61	M.Al Bitar	🇯🇴 JORDAN	46	76.1%	0.41
62	B.Vriend	🇳🇱 NETHERLANDS	50	76.0%	0.28
63	C.Gibbons	🇳🇿 NEW ZEALAND	25	76.0%	0.28
64	P.Nehmert	🇩🇪 GERMANY	37	75.7%	0.27
65	J.Cormack	🇳🇿 NEW ZEALAND	45	75.6%	0.24
66	J.Fajgelzon	🇨🇦 CANADA	45	75.6%	0.27
67	N.Bekkouche	🇩🇰 DENMARK	41	75.6%	0.29
68	J.Gibbons	🇳🇿 NEW ZEALAND	20	75.0%	0.25
69	J.Pasman	🇳🇱 NETHERLANDS	36	75.0%	0.36
70	S.Farholt	🇩🇰 DENMARK	36	75.0%	0.39
71	F.Mondor	🇬🇵 GUADELOUPE	47	74.5%	0.28
72	D.Balkin	🇿🇦 SOUTH AFRICA	35	74.3%	0.40
73	L.Mayadas	🇮🇳 INDIA	31	74.2%	0.26
74	J.Alabaster	🇳🇿 NEW ZEALAND	50	74.0%	0.28
75	D.Adrain	🇿🇦 SOUTH AFRICA	38	73.7%	0.26
76	B.Hackett	🇩🇪 GERMANY	26	73.1%	0.31
77	M.Antonini	🇦🇷 ARGENTINA	29	72.4%	0.48
78	H.Ota	🇯🇵 JAPAN	47	72.3%	0.38
79	S.Thadani	🇮🇳 INDIA	36	72.2%	0.33
80	G.Tan	🇵🇭 PHILIPPINES	54	72.2%	0.37
81	N.Omar	🇪🇬 EGYPT	25	72.0%	0.32
82	S.Dewi	🇮🇩 INDONESIA	32	71.9%	0.28
83	I.Vargas De Andrade	🇧🇷 BRAZIL	53	71.7%	0.32
84	F.Mayer	🇵🇭 PHILIPPINES	42	71.4%	0.33
85	H.Deora	🇮🇳 INDIA	42	71.4%	0.33
86	P.Banducci	🇿🇦 SOUTH AFRICA	42	71.4%	0.38
87	L.Khalil	🇪🇬 EGYPT	45	71.1%	0.33
88	U.Kabra	🇮🇳 INDIA	45	71.1%	0.36
89	C.Sumampouw	🇮🇩 INDONESIA	31	71.0%	0.29
90	C.Bjerkan	🇺🇸 USA 2	31	71.0%	0.32
91	I.Korengkeng	🇮🇩 INDONESIA	31	71.0%	0.39
92	S.Sarwat	🇪🇬 EGYPT	24	70.8%	0.29
93	F.Cimon	🇨🇦 CANADA	43	69.8%	0.40
94	R.Kaplan	🇦🇺 AUSTRALIA	43	69.8%	0.40
95	M.Tajima	🇯🇵 JAPAN	36	69.4%	0.36
96	C.Feitelson	🇦🇺 AUSTRALIA	26	69.2%	0.42
97	L.Doria	🇧🇷 BRAZIL	29	69.0%	0.31
98	M.Schraverus-Meuer	🇩🇪 GERMANY	29	69.0%	0.34
99	N.Smith	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	48	68.8%	0.40
100	I.Brisebois	🇨🇦 CANADA	35	68.6%	0.43
101	M.Wortel	🇳🇱 NETHERLANDS	35	68.6%	0.46
102	RIANTINI -	🇮🇩 INDONESIA	38	68.4%	0.32
103	L.Lee	🇨🇦 CANADA	41	68.3%	0.41
104	R.Bernstein	🇿🇦 SOUTH AFRICA	41	68.3%	0.49
105	M.Abu Garbieh	🇯🇴 JORDAN	57	66.7%	0.42
106	L.Pain	🇧🇷 BRAZIL	36	66.7%	0.47
107	S.Ruso	🇭🇷 CROATIA	27	66.7%	0.48
108	N.Ezz El-Din	🇪🇬 EGYPT	27	66.7%	0.56
109	N.Sver	🇭🇷 CROATIA	62	66.1%	0.42
110	M.Rahelt	🇩🇰 DENMARK	41	65.9%	0.39
111	S.Willard	🇫🇷 FRANCE	48	64.6%	0.40
112	M.Peli	🇬🇵 GUADELOUPE	36	63.9%	0.47
113	R.Muller	🇭🇷 CROATIA	44	63.6%	0.48
114	E.Havas	🇦🇺 AUSTRALIA	38	63.2%	0.55
115	B.Travis	🇦🇺 AUSTRALIA	35	62.9%	0.43
116	G.Iribarren	🇦🇷 ARGENTINA	40	62.5%	0.42
117	C.Thirion	🇬🇵 GUADELOUPE	45	62.2%	0.49
118	M.Garateguy	🇦🇷 ARGENTINA	42	61.9%	0.43
119	T.Binderkrantz	🇩🇰 DENMARK	42	61.9%	0.48
120	A.Buus Thomsen	🇩🇰 DENMARK	36	61.1%	0.44
121	P.Schroor	🇦🇺 AUSTRALIA	36	61.1%	0.44
122	A.Abu Jaber	🇯🇴 JORDAN	35	60.0%	0.40
123	M.Tan	🇯🇵 JAPAN	45	60.0%	0.42
124	F.Damayanti	🇮🇩 INDONESIA	32	59.4%	0.44
125	W.Wang	🇨🇳 CHINA GLOBAL TIMES	27	59.3%	0.41
126	P.Correa	🇧🇷 BRAZIL	33	54.5%	0.61
127	J.Pacheco	🇧🇷 BRAZIL	48	54.2%	0.56
128	N.Kvasnikoff	🇬🇵 GUADELOUPE	41	53.7%	0.73
129	C.Mill	🇦🇺 AUSTRALIA	17	52.9%	0.59
130	I.Levitina	🇺🇸 USA 1	23	78.3%	0.22
131	H.Narasimhan	🇺🇸 USA 1	13	76.9%	0.23
132	C.Velhagen	🇵🇭 PHILIPPINES	3	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	H.Deora	🇮🇳 INDIA	84	96.4%	0.05
2	M.Karmarkar	🇮🇳 INDIA	84	96.4%	0.05
3	J.Gibbons	🇳🇿 NEW ZEALAND	54	94.4%	0.06
4	W.Wang	🇨🇳 CHINA GLOBAL TIMES	69	94.2%	0.06
5	B.Cronier	🇫🇷 FRANCE	83	94.0%	0.06
6	S.Willard	🇫🇷 FRANCE	83	94.0%	0.06
7	D.Rosenberg	🇺🇸 USA 1	99	93.9%	0.07
8	J.Stansby	🇺🇸 USA 1	99	93.9%	0.07
9	J.Pasman	🇳🇱 NETHERLANDS	80	93.8%	0.09
10	A.Simons	🇳🇱 NETHERLANDS	80	93.8%	0.09
11	C.Gibbons	🇳🇿 NEW ZEALAND	60	93.3%	0.07
12	N.Bekkouche	🇩🇰 DENMARK	85	92.9%	0.08
13	T.Binderkrantz	🇩🇰 DENMARK	85	92.9%	0.08
14	M.Michielsen	🇳🇱 NETHERLANDS	69	92.8%	0.07
15	M.Wortel	🇳🇱 NETHERLANDS	69	92.8%	0.07
16	J.Pacheco	🇧🇷 BRAZIL	83	92.8%	0.08
17	I.Vargas De Andrade	🇧🇷 BRAZIL	83	92.8%	0.08
18	K.Banno	🇯🇵 JAPAN	68	92.6%	0.09
19	M.Tan	🇯🇵 JAPAN	68	92.6%	0.09
20	B.Hackett	🇩🇪 GERMANY	52	92.3%	0.08
21	P.Nehmert	🇩🇪 GERMANY	52	92.3%	0.08
22	I.Korengkeng	🇮🇩 INDONESIA	78	92.3%	0.10
23	C.Sumampouw	🇮🇩 INDONESIA	78	92.3%	0.10
24	M.Sun	🇨🇳 CHINA GLOBAL TIMES	78	91.0%	0.09
25	S.Picus	🇺🇸 USA 2	66	90.9%	0.09
26	S.Quinn	🇺🇸 USA 2	66	90.9%	0.09
27	Y.Liu	🇨🇳 CHINA GLOBAL TIMES	75	90.7%	0.11
28	E.Havas	🇦🇺 AUSTRALIA	83	90.4%	0.10
29	B.Travis	🇦🇺 AUSTRALIA	83	90.4%	0.10
30	C.D'Ovidio	🇫🇷 FRANCE	78	89.7%	0.18
31	D.Gaviard	🇫🇷 FRANCE	78	89.7%	0.18
32	F.Mondor	🇬🇵 GUADELOUPE	77	89.6%	0.10
33	C.Rey	🇬🇵 GUADELOUPE	77	89.6%	0.10
34	F.Mayer	🇵🇭 PHILIPPINES	77	89.6%	0.12
35	C.Bjerkan	🇺🇸 USA 2	65	89.2%	0.11
36	K.Sanborn	🇺🇸 USA 2	65	89.2%	0.11
37	S.Farholt	🇩🇰 DENMARK	74	89.2%	0.11
38	M.Rahelt	🇩🇰 DENMARK	74	89.2%	0.11
39	H.Ota	🇯🇵 JAPAN	53	88.7%	0.11
40	N.Setoguchi	🇯🇵 JAPAN	53	88.7%	0.11
41	J.Levin	🇺🇸 USA 1	103	88.3%	0.14
42	J.Meyers	🇺🇸 USA 1	103	88.3%	0.14
43	H.Wang	🇨🇳 CHINA GLOBAL TIMES	84	88.1%	0.13
44	M.Garateguy	🇦🇷 ARGENTINA	67	88.1%	0.15
45	M.Iacapraro	🇦🇷 ARGENTINA	67	88.1%	0.15
46	C.Feitelson	🇦🇺 AUSTRALIA	74	87.8%	0.12
47	C.Mill	🇦🇺 AUSTRALIA	74	87.8%	0.12
48	A.Qashu	🇯🇴 JORDAN	73	87.7%	0.19
49	H.Zabaneh	🇯🇴 JORDAN	73	87.7%	0.19
50	L.Lee	🇨🇦 CANADA	80	87.5%	0.14
51	P.Nisbet	🇨🇦 CANADA	80	87.5%	0.14
52	R.Choksi	🇮🇳 INDIA	78	87.2%	0.14
53	L.Mayadas	🇮🇳 INDIA	78	87.2%	0.14
54	L.Gu	🇨🇳 CHINA GLOBAL TIMES	86	87.2%	0.15
55	Y.Zhang	🇨🇳 CHINA GLOBAL TIMES	86	87.2%	0.15
56	H.Eythorsdottir	🇺🇸 USA 2	84	86.9%	0.13
57	R.Pollack	🇺🇸 USA 2	84	86.9%	0.13
58	S.Auken	🇩🇪 GERMANY	91	86.8%	0.13
59	D.Von Arnim	🇩🇪 GERMANY	91	86.8%	0.13
60	L.Khalil	🇪🇬 EGYPT	114	86.8%	0.15
61	M.Khouri	🇪🇬 EGYPT	114	86.8%	0.15
62	P.Correa	🇧🇷 BRAZIL	60	86.7%	0.17
63	L.Doria	🇧🇷 BRAZIL	60	86.7%	0.17
64	G.Tan	🇵🇭 PHILIPPINES	118	86.4%	0.16
65	M.Pilipovic	🇭🇷 CROATIA	109	86.2%	0.18
66	N.Sver	🇭🇷 CROATIA	109	86.2%	0.18
67	F.Cimon	🇨🇦 CANADA	79	86.1%	0.15
68	J.Fajgelzon	🇨🇦 CANADA	79	86.1%	0.15
69	V.Egan	🇵🇭 PHILIPPINES	71	85.9%	0.15
70	T.Del Gallego	🇵🇭 PHILIPPINES	92	85.9%	0.17
71	S.Mello	🇧🇷 BRAZIL	90	85.6%	0.19
72	L.Pain	🇧🇷 BRAZIL	90	85.6%	0.19
73	F.Damayanti	🇮🇩 INDONESIA	69	85.5%	0.14
74	RIANTINI -	🇮🇩 INDONESIA	69	85.5%	0.14
75	R.Kaplan	🇦🇺 AUSTRALIA	75	85.3%	0.15
76	P.Schroor	🇦🇺 AUSTRALIA	75	85.3%	0.15
77	P.Pecina	🇭🇷 CROATIA	54	85.2%	0.15
78	S.Ruso	🇭🇷 CROATIA	54	85.2%	0.15
79	R.Muller	🇭🇷 CROATIA	61	85.2%	0.20
80	I.Petrovic	🇭🇷 CROATIA	61	85.2%	0.20
81	M.Antonini	🇦🇷 ARGENTINA	61	85.2%	0.21
82	M.Espinosa-Paz	🇦🇷 ARGENTINA	61	85.2%	0.21
83	J.Alabaster	🇳🇿 NEW ZEALAND	94	85.1%	0.15
84	J.Cormack	🇳🇿 NEW ZEALAND	94	85.1%	0.15
85	D.Balkin	🇿🇦 SOUTH AFRICA	79	84.8%	0.17
86	P.Banducci	🇿🇦 SOUTH AFRICA	79	84.8%	0.17
87	P.Lin	🇵🇭 PHILIPPINES	98	84.7%	0.17
88	M.Brunner	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	78	84.6%	0.15
89	R.Goldenfield	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	78	84.6%	0.15
90	A.Alberti	🇩🇪 GERMANY	64	84.4%	0.17
91	M.Schraverus-Meuer	🇩🇪 GERMANY	64	84.4%	0.17
92	I.Brisebois	🇨🇦 CANADA	89	84.3%	0.18
93	S.Summers-Caley	🇨🇦 CANADA	89	84.3%	0.18
94	N.Ezz El-Din	🇪🇬 EGYPT	57	84.2%	0.16
95	N.Omar	🇪🇬 EGYPT	57	84.2%	0.16
96	K.Shimamura	🇯🇵 JAPAN	94	84.0%	0.18
97	M.Tajima	🇯🇵 JAPAN	94	84.0%	0.18
98	C.Bistoquet	🇬🇵 GUADELOUPE	81	84.0%	0.18
99	C.Thirion	🇬🇵 GUADELOUPE	81	84.0%	0.18
100	C.Jagger	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	67	83.6%	0.18
101	S.Teshome	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	67	83.6%	0.18
102	H.Dhondy	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	85	83.5%	0.17
103	N.Smith	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	85	83.5%	0.17
104	S.Dewi	🇮🇩 INDONESIA	96	83.3%	0.17
105	K.Murniati	🇮🇩 INDONESIA	96	83.3%	0.17
106	A.Buus Thomsen	🇩🇰 DENMARK	89	83.1%	0.18
107	H.Rasmussen	🇩🇰 DENMARK	89	83.1%	0.18
108	D.Adrain	🇿🇦 SOUTH AFRICA	88	83.0%	0.20
109	M.Hulett	🇿🇦 SOUTH AFRICA	88	83.0%	0.20
110	M.Al Bitar	🇯🇴 JORDAN	69	82.6%	0.19
111	C.Arnolds	🇳🇱 NETHERLANDS	61	82.0%	0.21
112	B.Vriend	🇳🇱 NETHERLANDS	61	82.0%	0.21
113	C.Fishpool	🇫🇷 FRANCE	64	81.2%	0.22
114	F.Pigeaud	🇫🇷 FRANCE	64	81.2%	0.22
115	A.Abu Jaber	🇯🇴 JORDAN	84	81.0%	0.24
116	U.Kabra	🇮🇳 INDIA	78	80.8%	0.22
117	S.Thadani	🇮🇳 INDIA	78	80.8%	0.22
118	J.Wilkinson	🇳🇿 NEW ZEALAND	104	80.8%	0.22
119	S.Newton	🇳🇿 NEW ZEALAND	98	80.6%	0.22
120	R.Bernstein	🇿🇦 SOUTH AFRICA	87	80.5%	0.22
121	G.Sandler	🇿🇦 SOUTH AFRICA	87	80.5%	0.22
122	M.Abu Garbieh	🇯🇴 JORDAN	74	79.7%	0.22
123	N.Hamdy	🇪🇬 EGYPT	75	78.7%	0.25
124	S.Sarwat	🇪🇬 EGYPT	75	78.7%	0.25
125	Y.Khattak	🇯🇴 JORDAN	89	78.7%	0.26
126	S.Boldt	🇦🇷 ARGENTINA	85	75.3%	0.29
127	G.Iribarren	🇦🇷 ARGENTINA	85	75.3%	0.29
128	N.Kvasnikoff	🇬🇵 GUADELOUPE	71	74.6%	0.28
129	M.Peli	🇬🇵 GUADELOUPE	71	74.6%	0.28
130	I.Levitina	🇺🇸 USA 1	38	89.5%	0.10
131	H.Narasimhan	🇺🇸 USA 1	38	89.5%	0.10
132	C.Velhagen	🇵🇭 PHILIPPINES	14	85.7%	0.14

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	J.Levin	🇺🇸 USA 1	288	-0.05	+1.07	+1.03	·
2	J.Meyers	🇺🇸 USA 1	288	-0.05	+1.07	+1.03	·
3	W.Wang	🇨🇳 CHINA GLOBAL TIMES	208	+0.11	+0.81	+0.92	▲2
4	S.Auken	🇩🇪 GERMANY	288	+0.03	+0.84	+0.87	▼1
5	D.Von Arnim	🇩🇪 GERMANY	288	+0.03	+0.84	+0.87	▼1
6	Y.Liu	🇨🇳 CHINA GLOBAL TIMES	224	+0.07	+0.68	+0.75	▲2
7	B.Cronier	🇫🇷 FRANCE	256	-0.01	+0.68	+0.68	▼1
8	S.Willard	🇫🇷 FRANCE	256	-0.01	+0.68	+0.68	▼1
9	L.Khalil	🇪🇬 EGYPT	304	-0.02	+0.63	+0.61	·
10	M.Khouri	🇪🇬 EGYPT	304	-0.02	+0.63	+0.61	·
11	D.Rosenberg	🇺🇸 USA 1	272	+0.11	+0.45	+0.56	▲4
12	J.Stansby	🇺🇸 USA 1	272	+0.11	+0.45	+0.56	▲4
13	F.Cimon	🇨🇦 CANADA	240	-0.04	+0.59	+0.55	▼1
14	J.Fajgelzon	🇨🇦 CANADA	240	-0.04	+0.59	+0.55	▼1
15	M.Sun	🇨🇳 CHINA GLOBAL TIMES	224	-0.10	+0.59	+0.50	▼4
16	B.Hackett	🇩🇪 GERMANY	176	-0.02	+0.39	+0.38	▲11
17	P.Nehmert	🇩🇪 GERMANY	176	-0.02	+0.39	+0.38	▲11
18	H.Wang	🇨🇳 CHINA GLOBAL TIMES	240	-0.12	+0.48	+0.37	▼4
19	C.Arnolds	🇳🇱 NETHERLANDS	240	-0.06	+0.41	+0.36	▲4
20	B.Vriend	🇳🇱 NETHERLANDS	240	-0.06	+0.41	+0.36	▲4
21	L.Lee	🇨🇦 CANADA	224	-0.09	+0.44	+0.36	▼2
22	P.Nisbet	🇨🇦 CANADA	224	-0.09	+0.44	+0.36	▼2
23	C.Jagger	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	192	-0.05	+0.40	+0.35	▲2
24	S.Teshome	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	192	-0.05	+0.40	+0.35	▲2
25	N.Bekkouche	🇩🇰 DENMARK	224	-0.13	+0.45	+0.31	▼8
26	T.Binderkrantz	🇩🇰 DENMARK	224	-0.13	+0.45	+0.31	▼8
27	K.Banno	🇯🇵 JAPAN	224	-0.04	+0.35	+0.31	▲2
28	M.Tan	🇯🇵 JAPAN	224	-0.04	+0.35	+0.31	▲2
29	M.Brunner	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	208	+0.09	+0.17	+0.26	▲9
30	R.Goldenfield	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	208	+0.09	+0.17	+0.26	▲9
31	C.Bjerkan	🇺🇸 USA 2	224	+0.00	+0.24	+0.25	▲1
32	K.Sanborn	🇺🇸 USA 2	224	+0.00	+0.24	+0.25	▲1
33	H.Eythorsdottir	🇺🇸 USA 2	224	-0.17	+0.42	+0.25	▼12
34	R.Pollack	🇺🇸 USA 2	224	-0.17	+0.42	+0.25	▼12
35	F.Mayer	🇵🇭 PHILIPPINES	240	+0.16	+0.08	+0.24	▲25
36	S.Picus	🇺🇸 USA 2	224	+0.06	+0.18	+0.24	·
37	S.Quinn	🇺🇸 USA 2	224	+0.06	+0.18	+0.24	·
38	H.Dhondy	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	272	+0.08	+0.12	+0.20	▲3
39	N.Smith	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	272	+0.08	+0.12	+0.20	▲3
40	J.Pasman	🇳🇱 NETHERLANDS	224	+0.01	+0.19	+0.20	▼6
41	A.Simons	🇳🇱 NETHERLANDS	224	+0.01	+0.19	+0.20	▼6
42	R.Choksi	🇮🇳 INDIA	224	+0.08	+0.11	+0.19	▲13
43	L.Mayadas	🇮🇳 INDIA	224	+0.08	+0.11	+0.19	▲13
44	C.D'Ovidio	🇫🇷 FRANCE	240	+0.04	+0.11	+0.16	▲7
45	D.Gaviard	🇫🇷 FRANCE	240	+0.04	+0.11	+0.16	▲7
46	L.Gu	🇨🇳 CHINA GLOBAL TIMES	224	+0.03	+0.11	+0.14	▲7
47	Y.Zhang	🇨🇳 CHINA GLOBAL TIMES	224	+0.03	+0.11	+0.14	▲7
48	M.Garateguy	🇦🇷 ARGENTINA	224	-0.00	+0.12	+0.12	▼5
49	M.Iacapraro	🇦🇷 ARGENTINA	224	-0.00	+0.12	+0.12	▼5
50	S.Newton	🇳🇿 NEW ZEALAND	256	+0.11	-0.01	+0.10	▲17
51	S.Mello	🇧🇷 BRAZIL	240	+0.03	+0.06	+0.09	▲12
52	L.Pain	🇧🇷 BRAZIL	240	+0.03	+0.06	+0.09	▲12
53	A.Alberti	🇩🇪 GERMANY	208	-0.05	+0.11	+0.06	▼4
54	M.Schraverus-Meuer	🇩🇪 GERMANY	208	-0.05	+0.11	+0.06	▼4
55	J.Wilkinson	🇳🇿 NEW ZEALAND	272	+0.13	-0.07	+0.06	▲21
56	V.Egan	🇵🇭 PHILIPPINES	208	-0.05	+0.10	+0.04	▲1
57	J.Gibbons	🇳🇿 NEW ZEALAND	144	-0.28	+0.32	+0.03	▼26
58	S.Dewi	🇮🇩 INDONESIA	240	-0.05	+0.08	+0.03	·
59	K.Murniati	🇮🇩 INDONESIA	240	-0.05	+0.08	+0.03	·
60	C.Feitelson	🇦🇺 AUSTRALIA	176	-0.05	+0.08	+0.03	▲1
61	C.Mill	🇦🇺 AUSTRALIA	176	-0.05	+0.08	+0.03	▲1
62	P.Lin	🇵🇭 PHILIPPINES	288	+0.10	-0.10	+0.00	▲16
63	A.Buus Thomsen	🇩🇰 DENMARK	224	+0.06	-0.06	+0.00	▲9
64	H.Rasmussen	🇩🇰 DENMARK	224	+0.06	-0.06	+0.00	▲9
65	D.Adrain	🇿🇦 SOUTH AFRICA	224	+0.03	-0.04	-0.00	▲5
66	M.Hulett	🇿🇦 SOUTH AFRICA	224	+0.03	-0.04	-0.00	▲5
67	F.Damayanti	🇮🇩 INDONESIA	208	+0.06	-0.07	-0.01	▲7
68	RIANTINI -	🇮🇩 INDONESIA	208	+0.06	-0.07	-0.01	▲7
69	T.Del Gallego	🇵🇭 PHILIPPINES	256	+0.06	-0.09	-0.03	▲8
70	C.Gibbons	🇳🇿 NEW ZEALAND	160	-0.21	+0.17	-0.04	▼30
71	S.Farholt	🇩🇰 DENMARK	224	-0.08	+0.02	-0.06	▼6
72	M.Rahelt	🇩🇰 DENMARK	224	-0.08	+0.02	-0.06	▼6
73	N.Ezz El-Din	🇪🇬 EGYPT	160	-0.18	+0.11	-0.06	▼28
74	N.Omar	🇪🇬 EGYPT	160	-0.18	+0.11	-0.06	▼28
75	C.Fishpool	🇫🇷 FRANCE	176	-0.23	+0.11	-0.11	▼28
76	F.Pigeaud	🇫🇷 FRANCE	176	-0.23	+0.11	-0.11	▼28
77	A.Qashu	🇯🇴 JORDAN	224	+0.14	-0.27	-0.13	▲13
78	H.Zabaneh	🇯🇴 JORDAN	224	+0.14	-0.27	-0.13	▲13
79	U.Kabra	🇮🇳 INDIA	224	+0.17	-0.32	-0.15	▲23
80	S.Thadani	🇮🇳 INDIA	224	+0.17	-0.32	-0.15	▲23
81	M.Pilipovic	🇭🇷 CROATIA	304	-0.01	-0.15	-0.16	·
82	N.Sver	🇭🇷 CROATIA	304	-0.01	-0.15	-0.16	·
83	E.Havas	🇦🇺 AUSTRALIA	256	+0.08	-0.25	-0.17	▲3
84	B.Travis	🇦🇺 AUSTRALIA	256	+0.08	-0.25	-0.17	▲3
85	J.Pacheco	🇧🇷 BRAZIL	240	-0.18	-0.01	-0.19	▼17
86	I.Vargas De Andrade	🇧🇷 BRAZIL	240	-0.18	-0.01	-0.19	▼17
87	M.Michielsen	🇳🇱 NETHERLANDS	208	-0.03	-0.18	-0.21	▼3
88	M.Wortel	🇳🇱 NETHERLANDS	208	-0.03	-0.18	-0.21	▼3
89	G.Tan	🇵🇭 PHILIPPINES	320	-0.04	-0.17	-0.21	▼6
90	P.Pecina	🇭🇷 CROATIA	176	+0.06	-0.28	-0.22	▲4
91	S.Ruso	🇭🇷 CROATIA	176	+0.06	-0.28	-0.22	▲4
92	I.Korengkeng	🇮🇩 INDONESIA	224	+0.03	-0.25	-0.22	▼4
93	C.Sumampouw	🇮🇩 INDONESIA	224	+0.03	-0.25	-0.22	▼4
94	H.Deora	🇮🇳 INDIA	224	-0.10	-0.14	-0.24	▼15
95	M.Karmarkar	🇮🇳 INDIA	224	-0.10	-0.14	-0.24	▼15
96	R.Muller	🇭🇷 CROATIA	192	+0.07	-0.30	-0.24	▲2
97	I.Petrovic	🇭🇷 CROATIA	192	+0.07	-0.30	-0.24	▲2
98	N.Hamdy	🇪🇬 EGYPT	208	+0.06	-0.29	-0.24	▼2
99	S.Sarwat	🇪🇬 EGYPT	208	+0.06	-0.29	-0.24	▼2
100	J.Alabaster	🇳🇿 NEW ZEALAND	256	+0.02	-0.28	-0.26	▼8
101	J.Cormack	🇳🇿 NEW ZEALAND	256	+0.02	-0.28	-0.26	▼8
102	I.Brisebois	🇨🇦 CANADA	208	+0.13	-0.42	-0.30	▲12
103	S.Summers-Caley	🇨🇦 CANADA	208	+0.13	-0.42	-0.30	▲12
104	R.Kaplan	🇦🇺 AUSTRALIA	240	-0.02	-0.31	-0.33	▼4
105	P.Schroor	🇦🇺 AUSTRALIA	240	-0.02	-0.31	-0.33	▼4
106	P.Correa	🇧🇷 BRAZIL	192	-0.01	-0.35	-0.36	▼2
107	L.Doria	🇧🇷 BRAZIL	192	-0.01	-0.35	-0.36	▼2
108	K.Shimamura	🇯🇵 JAPAN	224	-0.02	-0.37	-0.38	▲2
109	M.Tajima	🇯🇵 JAPAN	224	-0.02	-0.37	-0.38	▲2
110	S.Boldt	🇦🇷 ARGENTINA	240	-0.02	-0.36	-0.38	▼2
111	G.Iribarren	🇦🇷 ARGENTINA	240	-0.02	-0.36	-0.38	▼2
112	M.Antonini	🇦🇷 ARGENTINA	208	-0.03	-0.39	-0.42	·
113	M.Espinosa-Paz	🇦🇷 ARGENTINA	208	-0.03	-0.39	-0.42	·
114	R.Bernstein	🇿🇦 SOUTH AFRICA	224	-0.07	-0.36	-0.43	▼8
115	G.Sandler	🇿🇦 SOUTH AFRICA	224	-0.07	-0.36	-0.43	▼8
116	C.Bistoquet	🇬🇵 GUADELOUPE	224	-0.00	-0.52	-0.52	·
117	C.Thirion	🇬🇵 GUADELOUPE	224	-0.00	-0.52	-0.52	·
118	D.Balkin	🇿🇦 SOUTH AFRICA	224	+0.05	-0.66	-0.61	·
119	P.Banducci	🇿🇦 SOUTH AFRICA	224	+0.05	-0.66	-0.61	·
120	H.Ota	🇯🇵 JAPAN	224	+0.11	-0.74	-0.63	·
121	N.Setoguchi	🇯🇵 JAPAN	224	+0.11	-0.74	-0.63	·
122	F.Mondor	🇬🇵 GUADELOUPE	224	+0.09	-0.76	-0.68	·
123	C.Rey	🇬🇵 GUADELOUPE	224	+0.09	-0.76	-0.68	·
124	A.Abu Jaber	🇯🇴 JORDAN	208	+0.08	-0.80	-0.72	·
125	Y.Khattak	🇯🇴 JORDAN	224	+0.08	-0.82	-0.74	▲1
126	M.Al Bitar	🇯🇴 JORDAN	224	-0.09	-0.81	-0.90	▼1
127	M.Abu Garbieh	🇯🇴 JORDAN	240	-0.07	-0.83	-0.90	·
128	N.Kvasnikoff	🇬🇵 GUADELOUPE	224	+0.05	-1.53	-1.49	·
129	M.Peli	🇬🇵 GUADELOUPE	224	+0.05	-1.53	-1.49	·

Stages

Statistics