Marrakech 2023 — 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.Bakke	🇳🇴 NORWAY	256	+1.25	+320.0
2	B.Brogeland	🇳🇴 NORWAY	256	+1.25	+320.0
3	A.Birman	🇮🇱 ISRAEL	288	+1.00	+288.0
4	D.Padon	🇮🇱 ISRAEL	288	+1.00	+288.0
5	J.Kalita	🇨🇭 SWITZERLAND	304	+0.95	+288.0
6	M.Klukowski	🇨🇭 SWITZERLAND	304	+0.95	+288.0
7	S.Bahbout	🇧🇪 BELGIUM	272	+0.92	+250.0
8	S.De Donder	🇧🇪 BELGIUM	272	+0.92	+250.0
9	A.Sementa	🇮🇹 ITALY	272	+0.81	+220.0
10	A.Versace	🇮🇹 ITALY	272	+0.81	+220.0
11	K.Buras	🇵🇱 POLAND	256	+0.79	+202.0
12	P.Lutostanski	🇵🇱 POLAND	256	+0.79	+202.0
13	S.De Wijs	🇳🇱 NETHERLANDS	272	+0.78	+212.0
14	B.Muller	🇳🇱 NETHERLANDS	272	+0.78	+212.0
15	Z.Mahmood	🇺🇸 USA2	272	+0.74	+200.0
16	J.Meckstroth	🇺🇸 USA2	272	+0.74	+200.0
17	M.Nowosadzki	🇨🇭 SWITZERLAND	176	+0.72	+127.0
18	P.Zimmermann	🇨🇭 SWITZERLAND	176	+0.72	+127.0
19	M.Di Franco	🇮🇹 ITALY	240	+0.68	+162.0
20	A.Manno	🇮🇹 ITALY	240	+0.68	+162.0
21	H.Ghoneim	🇦🇪 UAE	320	+0.64	+206.0
22	M.Brown	🇳🇿 NEW ZEALAND	304	+0.60	+181.0
23	M.Whibley	🇳🇿 NEW ZEALAND	304	+0.60	+181.0
24	W.Spector	🇺🇸 USA1	176	+0.56	+99.0
25	G.Wolpert	🇺🇸 USA1	176	+0.56	+99.0
26	J.Liu	🇨🇳 CHINA	256	+0.52	+134.0
27	Z.Zhuang	🇨🇳 CHINA	256	+0.52	+134.0
28	T.Grude	🇳🇴 NORWAY	256	+0.50	+129.0
29	G.Helgemo	🇳🇴 NORWAY	256	+0.50	+129.0
30	A.Khare	🇮🇳 INDIA	192	+0.48	+92.0
31	R.Tolani	🇮🇳 INDIA	192	+0.48	+92.0
32	M.Caplan	🇨🇦 CANADA	256	+0.45	+114.0
33	F.Gitelman	🇨🇦 CANADA	256	+0.45	+114.0
34	T.Garvey	🇮🇪 IRELAND	208	+0.38	+79.0
35	A.Mesbur	🇮🇪 IRELAND	208	+0.38	+79.0
36	M.Fleisher	🇺🇸 USA2	192	+0.32	+61.0
37	C.Martel	🇺🇸 USA2	192	+0.32	+61.0
38	B.Donde	🇿🇦 SOUTH AFRICA	224	+0.30	+67.0
39	R.Stephens	🇿🇦 SOUTH AFRICA	224	+0.30	+67.0
40	W.Gawel	🇵🇱 POLAND	240	+0.28	+67.0
41	R.Jagniewski	🇵🇱 POLAND	240	+0.28	+67.0
42	A.Bach	🇳🇿 NEW ZEALAND	256	+0.24	+61.0
43	M.Cornell	🇳🇿 NEW ZEALAND	256	+0.24	+61.0
44	A.Mehilba	🇦🇪 UAE	320	+0.23	+75.0
45	D.Molenaar	🇳🇱 NETHERLANDS	240	+0.23	+55.0
46	T.Verbeek	🇳🇱 NETHERLANDS	240	+0.23	+55.0
47	T.Aa	🇳🇴 NORWAY	224	+0.22	+50.0
48	A.Livgard	🇳🇴 NORWAY	224	+0.22	+50.0
49	J.Grue	🇺🇸 USA2	272	+0.21	+57.0
50	B.Moss	🇺🇸 USA2	272	+0.21	+57.0
51	K.Araszkiewicz	🇵🇱 POLAND	240	+0.20	+47.0
52	K.Kotorowicz	🇵🇱 POLAND	240	+0.20	+47.0
53	V.Demuy	🇺🇸 USA1	304	+0.19	+57.0
54	J.Kranyak	🇺🇸 USA1	304	+0.19	+57.0
55	S.Brink	🇨🇭 SWITZERLAND	256	+0.17	+44.0
56	B.Drijver	🇨🇭 SWITZERLAND	256	+0.17	+44.0
57	S.Mukherjee	🇮🇳 INDIA	288	+0.17	+49.0
58	R.Tewari	🇮🇳 INDIA	288	+0.17	+49.0
59	J.Hayet	🇲🇦 MOROCCO	256	+0.14	+35.0
60	P.Sibony	🇲🇦 MOROCCO	256	+0.14	+35.0
61	B.Van Den Bos	🇳🇱 NETHERLANDS	224	+0.13	+29.0
62	J.Van Lankveld	🇳🇱 NETHERLANDS	224	+0.13	+29.0
63	J.Campos	🇧🇷 BRAZIL	256	+0.12	+32.0
64	A.Rodrigues	🇧🇷 BRAZIL	256	+0.12	+32.0
65	L.Hu	🇨🇳 CHINA	256	+0.11	+29.0
66	Y.Liu	🇨🇳 CHINA	256	+0.11	+29.0
67	K.Bathurst	🇺🇸 USA1	256	+0.10	+25.0
68	J.Hurd	🇺🇸 USA1	256	+0.10	+25.0
69	X.Teo	🇸🇬 SINGAPORE	256	+0.05	+13.0
70	T.Wu	🇸🇬 SINGAPORE	256	+0.05	+13.0
71	J.Carroll	🇮🇪 IRELAND	240	+0.04	+10.0
72	M.Moran	🇮🇪 IRELAND	240	+0.04	+10.0
73	R.Fruewirth	🇦🇺 AUSTRALIA	304	-0.03	-9.0
74	J.Thompson	🇦🇺 AUSTRALIA	304	-0.03	-9.0
75	C.Ju	🇨🇳 CHINA	224	-0.06	-13.0
76	Z.Shi	🇨🇳 CHINA	224	-0.06	-13.0
77	W.Chiu	🇭🇰 HONG KONG CHINA	240	-0.07	-17.0
78	K.Tam	🇭🇰 HONG KONG CHINA	240	-0.07	-17.0
79	P.Caputo	🇧🇪 BELGIUM	192	-0.09	-17.0
80	M.Vandervorst	🇧🇪 BELGIUM	192	-0.09	-17.0
81	T.Hanlon	🇮🇪 IRELAND	288	-0.10	-28.0
82	H.Mcgann	🇮🇪 IRELAND	288	-0.10	-28.0
83	K.Kong	🇭🇰 HONG KONG CHINA	256	-0.11	-28.0
84	N.Lee	🇭🇰 HONG KONG CHINA	256	-0.11	-28.0
85	A.Apteker	🇿🇦 SOUTH AFRICA	240	-0.12	-28.0
86	C.Gower	🇿🇦 SOUTH AFRICA	240	-0.12	-28.0
87	J.Shivdasani	🇮🇳 INDIA	256	-0.13	-33.0
88	S.Thakral	🇮🇳 INDIA	256	-0.13	-33.0
89	A.Sanchez	🇨🇱 CHILE	224	-0.15	-33.0
90	J.Smith	🇨🇱 CHILE	224	-0.15	-33.0
91	A.Levin	🇮🇱 ISRAEL	240	-0.16	-38.0
92	J.Roll	🇮🇱 ISRAEL	240	-0.16	-38.0
93	N.Eber	🇿🇦 SOUTH AFRICA	272	-0.24	-65.0
94	H.Fick	🇿🇦 SOUTH AFRICA	272	-0.24	-65.0
95	J.Gosney	🇦🇺 AUSTRALIA	240	-0.26	-62.0
96	T.Leibowitz	🇦🇺 AUSTRALIA	240	-0.26	-62.0
97	G.Arts	🇧🇪 BELGIUM	272	-0.27	-73.0
98	S.De Roos	🇧🇪 BELGIUM	272	-0.27	-73.0
99	M.Figueiredo	🇧🇷 BRAZIL	240	-0.27	-65.0
100	M.Paiva	🇧🇷 BRAZIL	240	-0.27	-65.0
101	G.Donati	🇮🇹 ITALY	224	-0.27	-61.0
102	G.Percario	🇮🇹 ITALY	224	-0.27	-61.0
103	M.Hammam	🇪🇬 EGYPT	272	-0.30	-82.0
104	S.Noshy	🇪🇬 EGYPT	272	-0.30	-82.0
105	A.Bakly	🇪🇬 EGYPT	256	-0.32	-82.0
106	M.Fouda	🇪🇬 EGYPT	256	-0.32	-82.0
107	K.Fong	🇸🇬 SINGAPORE	240	-0.34	-81.0
108	C.Lam	🇸🇬 SINGAPORE	240	-0.34	-81.0
109	P.Klimowicz	🇨🇦 CANADA	240	-0.44	-106.0
110	M.Mousa	🇦🇪 UAE	256	-0.45	-115.0
111	P.Dalley	🇦🇺 AUSTRALIA	192	-0.48	-92.0
112	T.Nunn	🇦🇺 AUSTRALIA	192	-0.48	-92.0
113	M.Mayer	🇳🇿 NEW ZEALAND	176	-0.48	-85.0
114	M.Ware	🇳🇿 NEW ZEALAND	176	-0.48	-85.0
115	D.Lavee	🇨🇦 CANADA	256	-0.50	-127.0
116	M.Caracci	🇨🇱 CHILE	256	-0.50	-128.0
117	J.Robles	🇨🇱 CHILE	256	-0.50	-128.0
118	D.Wolpert	🇨🇦 CANADA	224	-0.64	-143.0
119	J.Ong	🇸🇬 SINGAPORE	240	-0.67	-161.0
120	J.Xu	🇸🇬 SINGAPORE	240	-0.67	-161.0
121	J.Feldman	🇨🇦 CANADA	240	-0.68	-164.0
122	R.Dias	🇧🇷 BRAZIL	240	-0.78	-187.0
123	M.Toma	🇧🇷 BRAZIL	240	-0.78	-187.0
124	Y.Ip	🇭🇰 HONG KONG CHINA	240	-0.82	-198.0
125	Y.Mo	🇭🇰 HONG KONG CHINA	240	-0.82	-198.0
126	C.Varela	PANAMA	368	-0.85	-314.0
127	A.Villareal	PANAMA	368	-0.85	-314.0
128	R.Elsayyad	🇪🇬 EGYPT	208	-0.98	-203.0
129	W.Mohamed	🇪🇬 EGYPT	208	-0.98	-203.0
130	K.Abdelateif	🇦🇪 UAE	352	-0.98	-345.0
131	S.Dahan	🇲🇦 MOROCCO	224	-1.06	-238.0
132	F.Lahlou	🇲🇦 MOROCCO	224	-1.06	-238.0
133	G.Guridi	🇨🇱 CHILE	256	-1.10	-281.0
134	F.Nacrur	🇨🇱 CHILE	256	-1.10	-281.0
135	M.Ammor	🇲🇦 MOROCCO	256	-1.12	-288.0
136	I.Chamar	🇲🇦 MOROCCO	256	-1.12	-288.0
137	E.Antosz	PANAMA	368	-1.18	-435.0
138	J.Vega	PANAMA	368	-1.18	-435.0
139	EISSA TAMER	🇦🇪 UAE	224	-1.29	-289.0

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	44	93.2%	0.09
2	H.Ghoneim	🇦🇪 UAE	91	91.2%	0.12
3	A.Mesbur	🇮🇪 IRELAND	44	90.9%	0.09
4	P.Zimmermann	🇨🇭 SWITZERLAND	43	90.7%	0.14
5	T.Garvey	🇮🇪 IRELAND	54	90.7%	0.17
6	M.Hammam	🇪🇬 EGYPT	72	90.3%	0.12
7	R.Tolani	🇮🇳 INDIA	50	90.0%	0.10
8	P.Sibony	🇲🇦 MOROCCO	76	89.5%	0.13
9	C.Ju	🇨🇳 CHINA	57	89.5%	0.14
10	W.Chiu	🇭🇰 HONG KONG CHINA	55	89.1%	0.13
11	J.Carroll	🇮🇪 IRELAND	54	88.9%	0.11
12	Y.Ip	🇭🇰 HONG KONG CHINA	60	88.3%	0.12
13	P.Klimowicz	🇨🇦 CANADA	60	88.3%	0.17
14	J.Xu	🇸🇬 SINGAPORE	59	88.1%	0.15
15	J.Gosney	🇦🇺 AUSTRALIA	50	88.0%	0.16
16	M.Caracci	🇨🇱 CHILE	75	88.0%	0.17
17	J.Feldman	🇨🇦 CANADA	58	87.9%	0.14
18	M.Figueiredo	🇧🇷 BRAZIL	58	87.9%	0.14
19	S.Bahbout	🇧🇪 BELGIUM	74	87.8%	0.14
20	P.Lutostanski	🇵🇱 POLAND	73	87.7%	0.14
21	Z.Shi	🇨🇳 CHINA	48	87.5%	0.12
22	C.Martel	🇺🇸 USA2	48	87.5%	0.19
23	S.De Wijs	🇳🇱 NETHERLANDS	55	87.3%	0.16
24	J.Kalita	🇨🇭 SWITZERLAND	76	86.8%	0.13
25	J.Van Lankveld	🇳🇱 NETHERLANDS	68	86.8%	0.16
26	J.Kranyak	🇺🇸 USA1	75	86.7%	0.21
27	M.Paiva	🇧🇷 BRAZIL	59	86.4%	0.15
28	J.Shivdasani	🇮🇳 INDIA	66	86.4%	0.18
29	J.Campos	🇧🇷 BRAZIL	73	86.3%	0.16
30	M.Mousa	🇦🇪 UAE	65	86.2%	0.17
31	B.Moss	🇺🇸 USA2	71	85.9%	0.18
32	N.Eber	🇿🇦 SOUTH AFRICA	71	85.9%	0.21
33	D.Molenaar	🇳🇱 NETHERLANDS	55	85.5%	0.16
34	A.Khare	🇮🇳 INDIA	55	85.5%	0.18
35	W.Spector	🇺🇸 USA1	41	85.4%	0.17
36	M.Brown	🇳🇿 NEW ZEALAND	75	85.3%	0.17
37	C.Lam	🇸🇬 SINGAPORE	60	85.0%	0.17
38	J.Liu	🇨🇳 CHINA	59	84.7%	0.24
39	A.Apteker	🇿🇦 SOUTH AFRICA	52	84.6%	0.15
40	B.Drijver	🇨🇭 SWITZERLAND	71	84.5%	0.20
41	T.Grude	🇳🇴 NORWAY	64	84.4%	0.16
42	A.Rodrigues	🇧🇷 BRAZIL	64	84.4%	0.20
43	S.Mukherjee	🇮🇳 INDIA	70	84.3%	0.17
44	S.De Donder	🇧🇪 BELGIUM	63	84.1%	0.17
45	K.Kotorowicz	🇵🇱 POLAND	63	84.1%	0.19
46	G.Guridi	🇨🇱 CHILE	49	83.7%	0.16
47	G.Donati	🇮🇹 ITALY	55	83.6%	0.22
48	J.Meckstroth	🇺🇸 USA2	72	83.3%	0.19
49	S.Thakral	🇮🇳 INDIA	60	83.3%	0.20
50	R.Tewari	🇮🇳 INDIA	84	83.3%	0.21
51	B.Muller	🇳🇱 NETHERLANDS	83	83.1%	0.18
52	B.Donde	🇿🇦 SOUTH AFRICA	65	83.1%	0.18
53	J.Thompson	🇦🇺 AUSTRALIA	76	82.9%	0.20
54	A.Sanchez	🇨🇱 CHILE	64	82.8%	0.20
55	I.Chamar	🇲🇦 MOROCCO	58	82.8%	0.21
56	B.Brogeland	🇳🇴 NORWAY	64	82.8%	0.23
57	M.Ware	🇳🇿 NEW ZEALAND	58	82.8%	0.29
58	A.Levin	🇮🇱 ISRAEL	52	82.7%	0.17
59	A.Sementa	🇮🇹 ITALY	75	82.7%	0.25
60	J.Hurd	🇺🇸 USA1	63	82.5%	0.17
61	G.Percario	🇮🇹 ITALY	57	82.5%	0.23
62	K.Kong	🇭🇰 HONG KONG CHINA	57	82.5%	0.23
63	A.Villareal	PANAMA	96	82.3%	0.23
64	K.Buras	🇵🇱 POLAND	56	82.1%	0.21
65	R.Jagniewski	🇵🇱 POLAND	56	82.1%	0.21
66	W.Gawel	🇵🇱 POLAND	56	82.1%	0.25
67	J.Grue	🇺🇸 USA2	55	81.8%	0.20
68	S.Dahan	🇲🇦 MOROCCO	55	81.8%	0.26
69	Y.Liu	🇨🇳 CHINA	60	81.7%	0.20
70	M.Nowosadzki	🇨🇭 SWITZERLAND	38	81.6%	0.21
71	Z.Zhuang	🇨🇳 CHINA	76	81.6%	0.22
72	D.Wolpert	🇨🇦 CANADA	54	81.5%	0.26
73	J.Smith	🇨🇱 CHILE	59	81.4%	0.22
74	X.Teo	🇸🇬 SINGAPORE	70	81.4%	0.26
75	D.Padon	🇮🇱 ISRAEL	75	81.3%	0.24
76	M.Cornell	🇳🇿 NEW ZEALAND	64	81.2%	0.22
77	M.Mayer	🇳🇿 NEW ZEALAND	36	80.6%	0.22
78	H.Fick	🇿🇦 SOUTH AFRICA	62	80.6%	0.27
79	S.Noshy	🇪🇬 EGYPT	62	80.6%	0.32
80	A.Versace	🇮🇹 ITALY	66	80.3%	0.24
81	J.Vega	PANAMA	76	80.3%	0.26
82	R.Elsayyad	🇪🇬 EGYPT	55	80.0%	0.34
83	S.De Roos	🇧🇪 BELGIUM	64	79.7%	0.20
84	T.Leibowitz	🇦🇺 AUSTRALIA	59	79.7%	0.24
85	A.Mehilba	🇦🇪 UAE	79	79.7%	0.27
86	C.Bakke	🇳🇴 NORWAY	59	79.7%	0.29
87	K.Araszkiewicz	🇵🇱 POLAND	63	79.4%	0.24
88	R.Fruewirth	🇦🇺 AUSTRALIA	82	79.3%	0.22
89	W.Mohamed	🇪🇬 EGYPT	53	79.2%	0.23
90	T.Nunn	🇦🇺 AUSTRALIA	53	79.2%	0.26
91	M.Fouda	🇪🇬 EGYPT	67	79.1%	0.24
92	F.Nacrur	🇨🇱 CHILE	67	79.1%	0.25
93	J.Robles	🇨🇱 CHILE	67	79.1%	0.27
94	V.Demuy	🇺🇸 USA1	76	78.9%	0.26
95	M.Whibley	🇳🇿 NEW ZEALAND	71	78.9%	0.28
96	Y.Mo	🇭🇰 HONG KONG CHINA	66	78.8%	0.23
97	F.Gitelman	🇨🇦 CANADA	66	78.8%	0.24
98	T.Hanlon	🇮🇪 IRELAND	66	78.8%	0.26
99	A.Livgard	🇳🇴 NORWAY	61	78.7%	0.23
100	P.Caputo	🇧🇪 BELGIUM	51	78.4%	0.26
101	N.Lee	🇭🇰 HONG KONG CHINA	69	78.3%	0.30
102	J.Hayet	🇲🇦 MOROCCO	55	78.2%	0.24
103	A.Bach	🇳🇿 NEW ZEALAND	59	78.0%	0.25
104	M.Moran	🇮🇪 IRELAND	72	77.8%	0.24
105	M.Vandervorst	🇧🇪 BELGIUM	45	77.8%	0.24
106	J.Roll	🇮🇱 ISRAEL	72	77.8%	0.25
107	H.Mcgann	🇮🇪 IRELAND	63	77.8%	0.25
108	E.Antosz	PANAMA	116	77.6%	0.24
109	T.Verbeek	🇳🇱 NETHERLANDS	67	77.6%	0.28
110	A.Birman	🇮🇱 ISRAEL	67	77.6%	0.31
111	S.Brink	🇨🇭 SWITZERLAND	62	77.4%	0.27
112	J.Ong	🇸🇬 SINGAPORE	48	77.1%	0.31
113	L.Hu	🇨🇳 CHINA	61	77.0%	0.25
114	M.Klukowski	🇨🇭 SWITZERLAND	65	76.9%	0.26
115	C.Varela	PANAMA	99	76.8%	0.27
116	T.Aa	🇳🇴 NORWAY	43	76.7%	0.26
117	G.Arts	🇧🇪 BELGIUM	60	76.7%	0.30
118	A.Manno	🇮🇹 ITALY	51	76.5%	0.29
119	F.Lahlou	🇲🇦 MOROCCO	55	76.4%	0.27
120	K.Bathurst	🇺🇸 USA1	59	76.3%	0.30
121	Z.Mahmood	🇺🇸 USA2	59	76.3%	0.32
122	T.Wu	🇸🇬 SINGAPORE	71	76.1%	0.30
123	M.Ammor	🇲🇦 MOROCCO	66	75.8%	0.33
124	D.Lavee	🇨🇦 CANADA	49	75.5%	0.33
125	M.Di Franco	🇮🇹 ITALY	76	75.0%	0.26
126	R.Stephens	🇿🇦 SOUTH AFRICA	60	75.0%	0.27
127	G.Helgemo	🇳🇴 NORWAY	64	75.0%	0.34
128	EISSA TAMER	🇦🇪 UAE	60	75.0%	0.35
129	K.Tam	🇭🇰 HONG KONG CHINA	59	74.6%	0.34
130	R.Dias	🇧🇷 BRAZIL	55	74.5%	0.29
131	M.Caplan	🇨🇦 CANADA	70	74.3%	0.34
132	P.Dalley	🇦🇺 AUSTRALIA	50	74.0%	0.30
133	K.Abdelateif	🇦🇪 UAE	80	73.8%	0.28
134	B.Van Den Bos	🇳🇱 NETHERLANDS	38	73.7%	0.32
135	K.Fong	🇸🇬 SINGAPORE	63	73.0%	0.33
136	A.Bakly	🇪🇬 EGYPT	59	72.9%	0.29
137	G.Wolpert	🇺🇸 USA1	48	72.9%	0.29
138	M.Toma	🇧🇷 BRAZIL	63	69.8%	0.41
139	C.Gower	🇿🇦 SOUTH AFRICA	71	67.6%	0.39

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	W.Spector	🇺🇸 USA1	47	91.5%	0.09
2	C.Bakke	🇳🇴 NORWAY	67	89.6%	0.10
3	P.Zimmermann	🇨🇭 SWITZERLAND	48	87.5%	0.12
4	B.Brogeland	🇳🇴 NORWAY	64	87.5%	0.16
5	M.Whibley	🇳🇿 NEW ZEALAND	71	85.9%	0.18
6	G.Helgemo	🇳🇴 NORWAY	68	85.3%	0.18
7	J.Van Lankveld	🇳🇱 NETHERLANDS	58	84.5%	0.17
8	D.Lavee	🇨🇦 CANADA	76	84.2%	0.22
9	D.Padon	🇮🇱 ISRAEL	68	83.8%	0.21
10	W.Gawel	🇵🇱 POLAND	68	83.8%	0.21
11	M.Fleisher	🇺🇸 USA2	43	83.7%	0.19
12	D.Molenaar	🇳🇱 NETHERLANDS	60	83.3%	0.22
13	J.Liu	🇨🇳 CHINA	65	83.1%	0.26
14	M.Nowosadzki	🇨🇭 SWITZERLAND	47	83.0%	0.17
15	A.Rodrigues	🇧🇷 BRAZIL	64	82.8%	0.20
16	K.Araszkiewicz	🇵🇱 POLAND	58	82.8%	0.21
17	B.Moss	🇺🇸 USA2	75	82.7%	0.20
18	J.Roll	🇮🇱 ISRAEL	62	82.3%	0.24
19	M.Vandervorst	🇧🇪 BELGIUM	45	82.2%	0.20
20	J.Kranyak	🇺🇸 USA1	77	81.8%	0.21
21	B.Van Den Bos	🇳🇱 NETHERLANDS	60	81.7%	0.20
22	S.De Wijs	🇳🇱 NETHERLANDS	65	81.5%	0.23
23	C.Ju	🇨🇳 CHINA	70	81.4%	0.23
24	Z.Shi	🇨🇳 CHINA	48	81.2%	0.21
25	M.Toma	🇧🇷 BRAZIL	64	81.2%	0.23
26	S.Thakral	🇮🇳 INDIA	64	81.2%	0.27
27	B.Drijver	🇨🇭 SWITZERLAND	67	80.6%	0.28
28	J.Xu	🇸🇬 SINGAPORE	72	80.6%	0.31
29	G.Donati	🇮🇹 ITALY	56	80.4%	0.21
30	J.Meckstroth	🇺🇸 USA2	71	80.3%	0.21
31	S.Bahbout	🇧🇪 BELGIUM	66	80.3%	0.24
32	A.Levin	🇮🇱 ISRAEL	53	79.2%	0.23
33	A.Bakly	🇪🇬 EGYPT	67	79.1%	0.21
34	A.Manno	🇮🇹 ITALY	62	79.0%	0.23
35	M.Cornell	🇳🇿 NEW ZEALAND	62	79.0%	0.27
36	F.Gitelman	🇨🇦 CANADA	62	79.0%	0.29
37	A.Sementa	🇮🇹 ITALY	76	78.9%	0.22
38	R.Tewari	🇮🇳 INDIA	61	78.7%	0.25
39	R.Stephens	🇿🇦 SOUTH AFRICA	47	78.7%	0.26
40	R.Tolani	🇮🇳 INDIA	42	78.6%	0.21
41	K.Buras	🇵🇱 POLAND	74	78.4%	0.26
42	S.De Donder	🇧🇪 BELGIUM	69	78.3%	0.25
43	X.Teo	🇸🇬 SINGAPORE	60	78.3%	0.30
44	A.Versace	🇮🇹 ITALY	55	78.2%	0.29
45	T.Wu	🇸🇬 SINGAPORE	55	78.2%	0.29
46	M.Caracci	🇨🇱 CHILE	54	77.8%	0.26
47	S.Mukherjee	🇮🇳 INDIA	72	77.8%	0.29
48	L.Hu	🇨🇳 CHINA	67	77.6%	0.30
49	P.Lutostanski	🇵🇱 POLAND	53	77.4%	0.23
50	J.Hurd	🇺🇸 USA1	75	77.3%	0.33
51	M.Klukowski	🇨🇭 SWITZERLAND	74	77.0%	0.24
52	H.Fick	🇿🇦 SOUTH AFRICA	78	76.9%	0.23
53	T.Hanlon	🇮🇪 IRELAND	78	76.9%	0.26
54	A.Livgard	🇳🇴 NORWAY	65	76.9%	0.28
55	G.Wolpert	🇺🇸 USA1	39	76.9%	0.31
56	M.Hammam	🇪🇬 EGYPT	65	76.9%	0.34
57	Z.Zhuang	🇨🇳 CHINA	56	76.8%	0.25
58	Z.Mahmood	🇺🇸 USA2	69	76.8%	0.26
59	J.Kalita	🇨🇭 SWITZERLAND	86	76.7%	0.27
60	J.Robles	🇨🇱 CHILE	60	76.7%	0.27
61	K.Tam	🇭🇰 HONG KONG CHINA	60	76.7%	0.37
62	N.Lee	🇭🇰 HONG KONG CHINA	60	76.7%	0.43
63	J.Shivdasani	🇮🇳 INDIA	64	76.6%	0.27
64	K.Abdelateif	🇦🇪 UAE	94	76.6%	0.28
65	R.Elsayyad	🇪🇬 EGYPT	47	76.6%	0.32
66	A.Mesbur	🇮🇪 IRELAND	47	76.6%	0.36
67	R.Jagniewski	🇵🇱 POLAND	59	76.3%	0.24
68	T.Nunn	🇦🇺 AUSTRALIA	38	76.3%	0.26
69	K.Bathurst	🇺🇸 USA1	59	76.3%	0.30
70	H.Mcgann	🇮🇪 IRELAND	80	76.2%	0.28
71	A.Bach	🇳🇿 NEW ZEALAND	71	76.1%	0.27
72	B.Muller	🇳🇱 NETHERLANDS	67	76.1%	0.33
73	J.Carroll	🇮🇪 IRELAND	58	75.9%	0.29
74	J.Grue	🇺🇸 USA2	70	75.7%	0.30
75	A.Birman	🇮🇱 ISRAEL	78	75.6%	0.28
76	J.Ong	🇸🇬 SINGAPORE	61	75.4%	0.31
77	S.Brink	🇨🇭 SWITZERLAND	56	75.0%	0.27
78	B.Donde	🇿🇦 SOUTH AFRICA	52	75.0%	0.27
79	R.Fruewirth	🇦🇺 AUSTRALIA	60	75.0%	0.32
80	A.Khare	🇮🇳 INDIA	44	75.0%	0.36
81	A.Mehilba	🇦🇪 UAE	87	74.7%	0.28
82	M.Brown	🇳🇿 NEW ZEALAND	87	74.7%	0.30
83	J.Thompson	🇦🇺 AUSTRALIA	86	74.4%	0.28
84	T.Verbeek	🇳🇱 NETHERLANDS	58	74.1%	0.33
85	T.Aa	🇳🇴 NORWAY	54	74.1%	0.37
86	V.Demuy	🇺🇸 USA1	76	73.7%	0.32
87	I.Chamar	🇲🇦 MOROCCO	72	73.6%	0.28
88	S.Noshy	🇪🇬 EGYPT	72	73.6%	0.31
89	J.Gosney	🇦🇺 AUSTRALIA	72	73.6%	0.36
90	Y.Liu	🇨🇳 CHINA	68	73.5%	0.31
91	J.Feldman	🇨🇦 CANADA	64	73.4%	0.31
92	C.Gower	🇿🇦 SOUTH AFRICA	64	73.4%	0.36
93	K.Fong	🇸🇬 SINGAPORE	56	73.2%	0.30
94	M.Ware	🇳🇿 NEW ZEALAND	33	72.7%	0.30
95	M.Caplan	🇨🇦 CANADA	55	72.7%	0.33
96	P.Caputo	🇧🇪 BELGIUM	51	72.5%	0.31
97	S.De Roos	🇧🇪 BELGIUM	80	72.5%	0.33
98	M.Mayer	🇳🇿 NEW ZEALAND	47	72.3%	0.30
99	C.Martel	🇺🇸 USA2	57	71.9%	0.28
100	Y.Mo	🇭🇰 HONG KONG CHINA	57	71.9%	0.35
101	J.Campos	🇧🇷 BRAZIL	53	71.7%	0.36
102	J.Smith	🇨🇱 CHILE	53	71.7%	0.38
103	J.Hayet	🇲🇦 MOROCCO	67	71.6%	0.33
104	G.Percario	🇮🇹 ITALY	56	71.4%	0.30
105	D.Wolpert	🇨🇦 CANADA	56	71.4%	0.34
106	K.Kotorowicz	🇵🇱 POLAND	56	71.4%	0.38
107	M.Mousa	🇦🇪 UAE	59	71.2%	0.34
108	M.Figueiredo	🇧🇷 BRAZIL	65	70.8%	0.35
109	R.Dias	🇧🇷 BRAZIL	58	70.7%	0.34
110	F.Lahlou	🇲🇦 MOROCCO	51	70.6%	0.47
111	P.Sibony	🇲🇦 MOROCCO	57	70.2%	0.40
112	T.Grude	🇳🇴 NORWAY	60	70.0%	0.35
113	N.Eber	🇿🇦 SOUTH AFRICA	60	70.0%	0.48
114	W.Mohamed	🇪🇬 EGYPT	53	69.8%	0.45
115	J.Vega	PANAMA	85	69.4%	0.45
116	A.Villareal	PANAMA	80	68.8%	0.44
117	G.Arts	🇧🇪 BELGIUM	66	68.2%	0.39
118	E.Antosz	PANAMA	91	68.1%	0.47
119	P.Dalley	🇦🇺 AUSTRALIA	50	68.0%	0.38
120	T.Garvey	🇮🇪 IRELAND	62	67.7%	0.34
121	W.Chiu	🇭🇰 HONG KONG CHINA	65	67.7%	0.40
122	P.Klimowicz	🇨🇦 CANADA	62	67.7%	0.40
123	K.Kong	🇭🇰 HONG KONG CHINA	70	67.1%	0.40
124	EISSA TAMER	🇦🇪 UAE	54	66.7%	0.39
125	M.Fouda	🇪🇬 EGYPT	63	66.7%	0.41
126	M.Di Franco	🇮🇹 ITALY	51	66.7%	0.47
127	M.Paiva	🇧🇷 BRAZIL	58	65.5%	0.40
128	C.Varela	PANAMA	91	64.8%	0.43
129	C.Lam	🇸🇬 SINGAPORE	59	64.4%	0.39
130	S.Dahan	🇲🇦 MOROCCO	60	63.3%	0.50
131	M.Ammor	🇲🇦 MOROCCO	60	63.3%	0.53
132	G.Guridi	🇨🇱 CHILE	69	62.3%	0.43
133	A.Apteker	🇿🇦 SOUTH AFRICA	53	62.3%	0.55
134	H.Ghoneim	🇦🇪 UAE	66	62.1%	0.48
135	F.Nacrur	🇨🇱 CHILE	71	62.0%	0.48
136	M.Moran	🇮🇪 IRELAND	55	61.8%	0.47
137	A.Sanchez	🇨🇱 CHILE	46	58.7%	0.50
138	Y.Ip	🇭🇰 HONG KONG CHINA	57	56.1%	0.53
139	T.Leibowitz	🇦🇺 AUSTRALIA	59	55.9%	0.61

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	L.Hu	🇨🇳 CHINA	121	93.4%	0.07
2	Y.Liu	🇨🇳 CHINA	121	93.4%	0.07
3	W.Spector	🇺🇸 USA1	89	93.3%	0.08
4	G.Wolpert	🇺🇸 USA1	89	93.3%	0.08
5	A.Birman	🇮🇱 ISRAEL	142	93.0%	0.08
6	D.Padon	🇮🇱 ISRAEL	142	93.0%	0.08
7	D.Molenaar	🇳🇱 NETHERLANDS	122	92.6%	0.09
8	T.Verbeek	🇳🇱 NETHERLANDS	122	92.6%	0.09
9	C.Ju	🇨🇳 CHINA	105	92.4%	0.08
10	Z.Shi	🇨🇳 CHINA	105	92.4%	0.08
11	A.Sementa	🇮🇹 ITALY	141	92.2%	0.09
12	A.Versace	🇮🇹 ITALY	141	92.2%	0.09
13	K.Araszkiewicz	🇵🇱 POLAND	126	92.1%	0.09
14	K.Kotorowicz	🇵🇱 POLAND	126	92.1%	0.09
15	C.Bakke	🇳🇴 NORWAY	123	91.9%	0.09
16	B.Brogeland	🇳🇴 NORWAY	123	91.9%	0.09
17	G.Donati	🇮🇹 ITALY	112	91.1%	0.09
18	G.Percario	🇮🇹 ITALY	112	91.1%	0.09
19	S.Mukherjee	🇮🇳 INDIA	154	90.9%	0.12
20	R.Tewari	🇮🇳 INDIA	154	90.9%	0.12
21	K.Buras	🇵🇱 POLAND	129	90.7%	0.11
22	P.Lutostanski	🇵🇱 POLAND	129	90.7%	0.11
23	J.Grue	🇺🇸 USA2	126	90.5%	0.10
24	B.Moss	🇺🇸 USA2	126	90.5%	0.10
25	J.Liu	🇨🇳 CHINA	135	90.4%	0.10
26	Z.Zhuang	🇨🇳 CHINA	135	90.4%	0.10
27	S.Bahbout	🇧🇪 BELGIUM	137	89.8%	0.13
28	S.De Donder	🇧🇪 BELGIUM	137	89.8%	0.13
29	B.Van Den Bos	🇳🇱 NETHERLANDS	106	89.6%	0.13
30	J.Van Lankveld	🇳🇱 NETHERLANDS	106	89.6%	0.13
31	T.Aa	🇳🇴 NORWAY	104	89.4%	0.12
32	A.Livgard	🇳🇴 NORWAY	104	89.4%	0.12
33	T.Grude	🇳🇴 NORWAY	128	89.1%	0.13
34	G.Helgemo	🇳🇴 NORWAY	128	89.1%	0.13
35	M.Brown	🇳🇿 NEW ZEALAND	146	89.0%	0.12
36	M.Whibley	🇳🇿 NEW ZEALAND	146	89.0%	0.12
37	T.Garvey	🇮🇪 IRELAND	98	88.8%	0.13
38	A.Mesbur	🇮🇪 IRELAND	98	88.8%	0.13
39	B.Donde	🇿🇦 SOUTH AFRICA	125	88.8%	0.14
40	R.Stephens	🇿🇦 SOUTH AFRICA	125	88.8%	0.14
41	N.Eber	🇿🇦 SOUTH AFRICA	133	88.7%	0.11
42	H.Fick	🇿🇦 SOUTH AFRICA	133	88.7%	0.11
43	S.Brink	🇨🇭 SWITZERLAND	133	88.7%	0.14
44	B.Drijver	🇨🇭 SWITZERLAND	133	88.7%	0.14
45	W.Chiu	🇭🇰 HONG KONG CHINA	114	88.6%	0.15
46	K.Tam	🇭🇰 HONG KONG CHINA	114	88.6%	0.15
47	A.Apteker	🇿🇦 SOUTH AFRICA	123	88.6%	0.15
48	C.Gower	🇿🇦 SOUTH AFRICA	123	88.6%	0.15
49	H.Ghoneim	🇦🇪 UAE	173	88.4%	0.13
50	D.Lavee	🇨🇦 CANADA	110	88.2%	0.15
51	EISSA TAMER	🇦🇪 UAE	107	87.9%	0.13
52	P.Klimowicz	🇨🇦 CANADA	107	87.9%	0.16
53	K.Bathurst	🇺🇸 USA1	122	87.7%	0.16
54	J.Hurd	🇺🇸 USA1	122	87.7%	0.16
55	A.Mehilba	🇦🇪 UAE	168	87.5%	0.13
56	W.Gawel	🇵🇱 POLAND	112	87.5%	0.14
57	R.Jagniewski	🇵🇱 POLAND	112	87.5%	0.14
58	J.Kalita	🇨🇭 SWITZERLAND	141	87.2%	0.16
59	M.Klukowski	🇨🇭 SWITZERLAND	141	87.2%	0.16
60	A.Levin	🇮🇱 ISRAEL	124	87.1%	0.14
61	J.Roll	🇮🇱 ISRAEL	124	87.1%	0.14
62	Z.Mahmood	🇺🇸 USA2	131	87.0%	0.17
63	J.Meckstroth	🇺🇸 USA2	131	87.0%	0.17
64	M.Fleisher	🇺🇸 USA2	92	87.0%	0.22
65	C.Martel	🇺🇸 USA2	92	87.0%	0.22
66	R.Fruewirth	🇦🇺 AUSTRALIA	158	86.7%	0.18
67	J.Thompson	🇦🇺 AUSTRALIA	158	86.7%	0.18
68	P.Caputo	🇧🇪 BELGIUM	96	86.5%	0.14
69	M.Vandervorst	🇧🇪 BELGIUM	96	86.5%	0.14
70	J.Shivdasani	🇮🇳 INDIA	126	86.5%	0.16
71	S.Thakral	🇮🇳 INDIA	126	86.5%	0.16
72	Y.Ip	🇭🇰 HONG KONG CHINA	126	86.5%	0.16
73	Y.Mo	🇭🇰 HONG KONG CHINA	126	86.5%	0.16
74	J.Gosney	🇦🇺 AUSTRALIA	109	86.2%	0.17
75	T.Leibowitz	🇦🇺 AUSTRALIA	109	86.2%	0.17
76	V.Demuy	🇺🇸 USA1	151	86.1%	0.31
77	J.Kranyak	🇺🇸 USA1	151	86.1%	0.31
78	J.Feldman	🇨🇦 CANADA	114	86.0%	0.15
79	M.Hammam	🇪🇬 EGYPT	134	85.8%	0.17
80	S.Noshy	🇪🇬 EGYPT	134	85.8%	0.17
81	J.Carroll	🇮🇪 IRELAND	126	85.7%	0.16
82	M.Moran	🇮🇪 IRELAND	126	85.7%	0.16
83	A.Khare	🇮🇳 INDIA	105	85.7%	0.17
84	R.Tolani	🇮🇳 INDIA	105	85.7%	0.17
85	D.Wolpert	🇨🇦 CANADA	111	85.6%	0.15
86	S.De Wijs	🇳🇱 NETHERLANDS	138	85.5%	0.17
87	B.Muller	🇳🇱 NETHERLANDS	138	85.5%	0.17
88	M.Di Franco	🇮🇹 ITALY	127	85.0%	0.20
89	A.Manno	🇮🇹 ITALY	127	85.0%	0.20
90	P.Dalley	🇦🇺 AUSTRALIA	103	84.5%	0.18
91	T.Nunn	🇦🇺 AUSTRALIA	103	84.5%	0.18
92	G.Guridi	🇨🇱 CHILE	116	84.5%	0.22
93	F.Nacrur	🇨🇱 CHILE	116	84.5%	0.22
94	X.Teo	🇸🇬 SINGAPORE	141	84.4%	0.33
95	T.Wu	🇸🇬 SINGAPORE	141	84.4%	0.33
96	M.Nowosadzki	🇨🇭 SWITZERLAND	81	84.0%	0.18
97	P.Zimmermann	🇨🇭 SWITZERLAND	81	84.0%	0.18
98	K.Abdelateif	🇦🇪 UAE	174	83.9%	0.20
99	J.Hayet	🇲🇦 MOROCCO	131	83.2%	0.21
100	P.Sibony	🇲🇦 MOROCCO	131	83.2%	0.21
101	J.Ong	🇸🇬 SINGAPORE	107	83.2%	0.27
102	J.Xu	🇸🇬 SINGAPORE	107	83.2%	0.27
103	M.Mayer	🇳🇿 NEW ZEALAND	94	83.0%	0.20
104	M.Ware	🇳🇿 NEW ZEALAND	94	83.0%	0.20
105	T.Hanlon	🇮🇪 IRELAND	129	82.9%	0.19
106	H.Mcgann	🇮🇪 IRELAND	129	82.9%	0.19
107	A.Bach	🇳🇿 NEW ZEALAND	123	82.9%	0.21
108	M.Cornell	🇳🇿 NEW ZEALAND	123	82.9%	0.21
109	M.Figueiredo	🇧🇷 BRAZIL	117	82.9%	0.22
110	M.Paiva	🇧🇷 BRAZIL	117	82.9%	0.22
111	S.Dahan	🇲🇦 MOROCCO	110	82.7%	0.27
112	F.Lahlou	🇲🇦 MOROCCO	110	82.7%	0.27
113	J.Campos	🇧🇷 BRAZIL	137	82.5%	0.19
114	A.Rodrigues	🇧🇷 BRAZIL	137	82.5%	0.19
115	K.Kong	🇭🇰 HONG KONG CHINA	126	82.5%	0.21
116	N.Lee	🇭🇰 HONG KONG CHINA	126	82.5%	0.21
117	M.Caplan	🇨🇦 CANADA	136	82.4%	0.21
118	F.Gitelman	🇨🇦 CANADA	136	82.4%	0.21
119	G.Arts	🇧🇪 BELGIUM	124	82.3%	0.23
120	S.De Roos	🇧🇪 BELGIUM	124	82.3%	0.23
121	K.Fong	🇸🇬 SINGAPORE	123	82.1%	0.22
122	C.Lam	🇸🇬 SINGAPORE	123	82.1%	0.22
123	M.Ammor	🇲🇦 MOROCCO	124	81.5%	0.24
124	I.Chamar	🇲🇦 MOROCCO	124	81.5%	0.24
125	R.Dias	🇧🇷 BRAZIL	118	81.4%	0.22
126	M.Toma	🇧🇷 BRAZIL	118	81.4%	0.22
127	M.Mousa	🇦🇪 UAE	128	81.2%	0.24
128	M.Caracci	🇨🇱 CHILE	142	79.6%	0.24
129	J.Robles	🇨🇱 CHILE	142	79.6%	0.24
130	A.Bakly	🇪🇬 EGYPT	126	79.4%	0.24
131	M.Fouda	🇪🇬 EGYPT	126	79.4%	0.24
132	C.Varela	PANAMA	195	79.0%	0.28
133	A.Villareal	PANAMA	195	79.0%	0.28
134	E.Antosz	PANAMA	192	78.1%	0.23
135	J.Vega	PANAMA	192	78.1%	0.23
136	A.Sanchez	🇨🇱 CHILE	123	75.6%	0.30
137	J.Smith	🇨🇱 CHILE	123	75.6%	0.30
138	R.Elsayyad	🇪🇬 EGYPT	108	75.0%	0.31
139	W.Mohamed	🇪🇬 EGYPT	108	75.0%	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	J.Kalita	🇨🇭 SWITZERLAND	304	+0.05	+1.15	+1.21	·
2	M.Klukowski	🇨🇭 SWITZERLAND	304	+0.05	+1.15	+1.21	·
3	C.Bakke	🇳🇴 NORWAY	256	+0.10	+0.91	+1.01	·
4	B.Brogeland	🇳🇴 NORWAY	256	+0.10	+0.91	+1.01	·
5	A.Birman	🇮🇱 ISRAEL	288	-0.01	+0.77	+0.76	▲2
6	D.Padon	🇮🇱 ISRAEL	288	-0.01	+0.77	+0.76	▲2
7	V.Demuy	🇺🇸 USA1	288	+0.12	+0.61	+0.73	▲6
8	J.Kranyak	🇺🇸 USA1	288	+0.12	+0.61	+0.73	▲6
9	Z.Mahmood	🇺🇸 USA2	272	-0.22	+0.91	+0.69	▼4
10	J.Meckstroth	🇺🇸 USA2	272	-0.22	+0.91	+0.69	▼4
11	T.Grude	🇳🇴 NORWAY	256	-0.07	+0.69	+0.62	▼2
12	G.Helgemo	🇳🇴 NORWAY	256	-0.07	+0.69	+0.62	▼2
13	K.Buras	🇵🇱 POLAND	240	+0.05	+0.54	+0.58	▲2
14	P.Lutostanski	🇵🇱 POLAND	240	+0.05	+0.54	+0.58	▲2
15	S.De Wijs	🇳🇱 NETHERLANDS	272	+0.00	+0.49	+0.50	▲10
16	B.Muller	🇳🇱 NETHERLANDS	272	+0.00	+0.49	+0.50	▲10
17	A.Sementa	🇮🇹 ITALY	272	-0.06	+0.50	+0.45	▲6
18	A.Versace	🇮🇹 ITALY	272	-0.06	+0.50	+0.45	▲6
19	M.Brown	🇳🇿 NEW ZEALAND	304	-0.07	+0.52	+0.45	▲2
20	M.Whibley	🇳🇿 NEW ZEALAND	304	-0.07	+0.52	+0.45	▲2
21	J.Grue	🇺🇸 USA2	272	+0.13	+0.31	+0.43	▲18
22	B.Moss	🇺🇸 USA2	272	+0.13	+0.31	+0.43	▲18
23	D.Molenaar	🇳🇱 NETHERLANDS	224	-0.11	+0.52	+0.41	▼6
24	T.Verbeek	🇳🇱 NETHERLANDS	224	-0.11	+0.52	+0.41	▼6
25	J.Liu	🇨🇳 CHINA	256	-0.03	+0.42	+0.39	▲4
26	Z.Zhuang	🇨🇳 CHINA	256	-0.03	+0.42	+0.39	▲4
27	K.Araszkiewicz	🇵🇱 POLAND	240	-0.05	+0.43	+0.39	·
28	K.Kotorowicz	🇵🇱 POLAND	240	-0.05	+0.43	+0.39	·
29	S.Mukherjee	🇮🇳 INDIA	288	-0.05	+0.41	+0.36	▲2
30	R.Tewari	🇮🇳 INDIA	288	-0.05	+0.41	+0.36	▲2
31	M.Di Franco	🇮🇹 ITALY	240	+0.02	+0.33	+0.35	▲4
32	A.Manno	🇮🇹 ITALY	240	+0.02	+0.33	+0.35	▲4
33	W.Gawel	🇵🇱 POLAND	240	-0.05	+0.39	+0.34	·
34	R.Jagniewski	🇵🇱 POLAND	240	-0.05	+0.39	+0.34	·
35	M.Fleisher	🇺🇸 USA2	192	+0.03	+0.30	+0.33	▲6
36	C.Martel	🇺🇸 USA2	192	+0.03	+0.30	+0.33	▲6
37	L.Hu	🇨🇳 CHINA	256	+0.11	+0.21	+0.32	▲10
38	Y.Liu	🇨🇳 CHINA	256	+0.11	+0.21	+0.32	▲10
39	T.Aa	🇳🇴 NORWAY	224	-0.22	+0.52	+0.30	▼20
40	A.Livgard	🇳🇴 NORWAY	224	-0.22	+0.52	+0.30	▼20
41	A.Khare	🇮🇳 INDIA	192	+0.28	-0.00	+0.28	▲30
42	R.Tolani	🇮🇳 INDIA	192	+0.28	-0.00	+0.28	▲30
43	S.Bahbout	🇧🇪 BELGIUM	272	+0.17	+0.09	+0.26	▲22
44	S.De Donder	🇧🇪 BELGIUM	272	+0.17	+0.09	+0.26	▲22
45	M.Nowosadzki	🇨🇭 SWITZERLAND	176	-0.36	+0.61	+0.25	▼34
46	P.Zimmermann	🇨🇭 SWITZERLAND	176	-0.36	+0.61	+0.25	▼34
47	J.Carroll	🇮🇪 IRELAND	240	-0.10	+0.31	+0.21	▼10
48	M.Moran	🇮🇪 IRELAND	240	-0.10	+0.31	+0.21	▼10
49	R.Fruewirth	🇦🇺 AUSTRALIA	304	+0.03	+0.18	+0.21	▲2
50	J.Thompson	🇦🇺 AUSTRALIA	304	+0.03	+0.18	+0.21	▲2
51	A.Bach	🇳🇿 NEW ZEALAND	256	+0.10	+0.12	+0.21	▲8
52	M.Cornell	🇳🇿 NEW ZEALAND	256	+0.10	+0.12	+0.21	▲8
53	G.Arts	🇧🇪 BELGIUM	256	-0.07	+0.26	+0.19	▼10
54	S.De Roos	🇧🇪 BELGIUM	256	-0.07	+0.26	+0.19	▼10
55	K.Bathurst	🇺🇸 USA1	256	+0.07	+0.10	+0.18	▲8
56	J.Hurd	🇺🇸 USA1	256	+0.07	+0.10	+0.18	▲8
57	T.Garvey	🇮🇪 IRELAND	208	-0.02	+0.17	+0.15	▼4
58	A.Mesbur	🇮🇪 IRELAND	208	-0.02	+0.17	+0.15	▼4
59	C.Ju	🇨🇳 CHINA	224	-0.12	+0.25	+0.12	▼14
60	Z.Shi	🇨🇳 CHINA	224	-0.12	+0.25	+0.12	▼14
61	A.Bakly	🇪🇬 EGYPT	256	+0.23	-0.15	+0.07	▲27
62	M.Fouda	🇪🇬 EGYPT	256	+0.23	-0.15	+0.07	▲27
63	M.Caplan	🇨🇦 CANADA	256	-0.16	+0.21	+0.05	▼14
64	F.Gitelman	🇨🇦 CANADA	256	-0.16	+0.21	+0.05	▼14
65	B.Donde	🇿🇦 SOUTH AFRICA	224	+0.07	-0.05	+0.01	▲15
66	R.Stephens	🇿🇦 SOUTH AFRICA	224	+0.07	-0.05	+0.01	▲15
67	B.Van Den Bos	🇳🇱 NETHERLANDS	224	-0.07	+0.08	+0.01	▲2
68	J.Van Lankveld	🇳🇱 NETHERLANDS	224	-0.07	+0.08	+0.01	▲2
69	G.Donati	🇮🇹 ITALY	224	-0.08	+0.09	+0.01	▼2
70	G.Percario	🇮🇹 ITALY	224	-0.08	+0.09	+0.01	▼2
71	J.Shivdasani	🇮🇳 INDIA	256	-0.16	+0.13	-0.03	▼14
72	S.Thakral	🇮🇳 INDIA	256	-0.16	+0.13	-0.03	▼14
73	A.Levin	🇮🇱 ISRAEL	240	+0.01	-0.05	-0.04	▲5
74	J.Roll	🇮🇱 ISRAEL	240	+0.01	-0.05	-0.04	▲5
75	N.Eber	🇿🇦 SOUTH AFRICA	272	+0.00	-0.05	-0.04	·
76	H.Fick	🇿🇦 SOUTH AFRICA	272	+0.00	-0.05	-0.04	·
77	H.Ghoneim	🇦🇪 UAE	304	-0.00	-0.05	-0.05	·
78	S.Brink	🇨🇭 SWITZERLAND	256	+0.01	-0.08	-0.06	▲8
79	B.Drijver	🇨🇭 SWITZERLAND	256	+0.01	-0.08	-0.06	▲8
80	P.Caputo	🇧🇪 BELGIUM	192	-0.24	+0.16	-0.08	▼25
81	M.Vandervorst	🇧🇪 BELGIUM	192	-0.24	+0.16	-0.08	▼25
82	J.Campos	🇧🇷 BRAZIL	240	-0.06	-0.04	-0.11	▼9
83	A.Rodrigues	🇧🇷 BRAZIL	240	-0.06	-0.04	-0.11	▼9
84	A.Apteker	🇿🇦 SOUTH AFRICA	240	-0.07	-0.06	-0.13	▼2
85	C.Gower	🇿🇦 SOUTH AFRICA	240	-0.07	-0.06	-0.13	▼2
86	T.Hanlon	🇮🇪 IRELAND	272	+0.06	-0.22	-0.16	▲11
87	H.Mcgann	🇮🇪 IRELAND	272	+0.06	-0.22	-0.16	▲11
88	J.Feldman	🇨🇦 CANADA	240	+0.05	-0.21	-0.16	▲8
89	M.Figueiredo	🇧🇷 BRAZIL	240	+0.13	-0.33	-0.20	▲14
90	M.Paiva	🇧🇷 BRAZIL	240	+0.13	-0.33	-0.20	▲14
91	J.Hayet	🇲🇦 MOROCCO	240	-0.13	-0.07	-0.20	▼7
92	P.Sibony	🇲🇦 MOROCCO	240	-0.13	-0.07	-0.20	▼7
93	W.Spector	🇺🇸 USA1	176	-0.32	+0.11	-0.21	▼32
94	G.Wolpert	🇺🇸 USA1	176	-0.32	+0.11	-0.21	▼32
95	X.Teo	🇸🇬 SINGAPORE	256	+0.09	-0.31	-0.22	▲5
96	T.Wu	🇸🇬 SINGAPORE	256	+0.09	-0.31	-0.22	▲5
97	M.Mayer	🇳🇿 NEW ZEALAND	176	-0.05	-0.19	-0.24	▼3
98	M.Ware	🇳🇿 NEW ZEALAND	176	-0.05	-0.19	-0.24	▼3
99	K.Fong	🇸🇬 SINGAPORE	240	-0.08	-0.18	-0.27	▼7
100	C.Lam	🇸🇬 SINGAPORE	240	-0.08	-0.18	-0.27	▼7
101	A.Mehilba	🇦🇪 UAE	304	+0.02	-0.31	-0.29	▼2
102	K.Kong	🇭🇰 HONG KONG CHINA	240	-0.12	-0.17	-0.29	▼12
103	N.Lee	🇭🇰 HONG KONG CHINA	240	-0.12	-0.17	-0.29	▼12
104	D.Wolpert	🇨🇦 CANADA	224	+0.02	-0.33	-0.31	▼2
105	D.Lavee	🇨🇦 CANADA	240	+0.11	-0.45	-0.33	▲4
106	R.Dias	🇧🇷 BRAZIL	240	-0.05	-0.35	-0.40	▼1
107	M.Toma	🇧🇷 BRAZIL	240	-0.05	-0.35	-0.40	▼1
108	M.Caracci	🇨🇱 CHILE	256	+0.01	-0.43	-0.42	▼1
109	J.Robles	🇨🇱 CHILE	256	+0.01	-0.43	-0.42	▼1
110	J.Gosney	🇦🇺 AUSTRALIA	224	+0.11	-0.53	-0.42	▲6
111	T.Leibowitz	🇦🇺 AUSTRALIA	224	+0.11	-0.53	-0.42	▲6
112	M.Hammam	🇪🇬 EGYPT	272	+0.03	-0.48	-0.45	▲1
113	S.Noshy	🇪🇬 EGYPT	272	+0.03	-0.48	-0.45	▲1
114	M.Mousa	🇦🇪 UAE	256	+0.06	-0.52	-0.46	▲1
115	J.Ong	🇸🇬 SINGAPORE	240	+0.09	-0.56	-0.46	▲3
116	J.Xu	🇸🇬 SINGAPORE	240	+0.09	-0.56	-0.46	▲3
117	W.Chiu	🇭🇰 HONG KONG CHINA	240	-0.04	-0.45	-0.48	▼7
118	K.Tam	🇭🇰 HONG KONG CHINA	240	-0.04	-0.45	-0.48	▼7
119	P.Klimowicz	🇨🇦 CANADA	224	+0.09	-0.57	-0.49	▲1
120	Y.Ip	🇭🇰 HONG KONG CHINA	240	+0.11	-0.63	-0.52	▲5
121	Y.Mo	🇭🇰 HONG KONG CHINA	240	+0.11	-0.63	-0.52	▲5
122	A.Sanchez	🇨🇱 CHILE	208	+0.11	-0.66	-0.54	▲7
123	J.Smith	🇨🇱 CHILE	208	+0.11	-0.66	-0.54	▲7
124	K.Abdelateif	🇦🇪 UAE	352	-0.11	-0.47	-0.58	▼12
125	C.Varela	PANAMA	352	-0.00	-0.59	-0.59	▼2
126	A.Villareal	PANAMA	352	-0.00	-0.59	-0.59	▼2
127	P.Dalley	🇦🇺 AUSTRALIA	192	-0.06	-0.58	-0.64	▼6
128	T.Nunn	🇦🇺 AUSTRALIA	192	-0.06	-0.58	-0.64	▼6
129	R.Elsayyad	🇪🇬 EGYPT	208	-0.14	-0.63	-0.77	▼2
130	W.Mohamed	🇪🇬 EGYPT	208	-0.14	-0.63	-0.77	▼2
131	EISSA TAMER	🇦🇪 UAE	224	-0.04	-0.74	-0.78	·
132	M.Ammor	🇲🇦 MOROCCO	256	+0.06	-0.88	-0.82	·
133	I.Chamar	🇲🇦 MOROCCO	256	+0.06	-0.88	-0.82	·
134	G.Guridi	🇨🇱 CHILE	256	+0.12	-0.96	-0.84	·
135	F.Nacrur	🇨🇱 CHILE	256	+0.12	-0.96	-0.84	·
136	S.Dahan	🇲🇦 MOROCCO	224	+0.07	-1.25	-1.18	·
137	F.Lahlou	🇲🇦 MOROCCO	224	+0.07	-1.25	-1.18	·
138	E.Antosz	PANAMA	368	+0.10	-1.39	-1.29	·
139	J.Vega	PANAMA	368	+0.10	-1.39	-1.29	·

Stages

Statistics