Wuhan 2019 — player statistics

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

Butler vs double-dummy par↑ top

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

#	Player	Team	Boards	/board	Total
1	J.Kalita	🇵🇱 POLAND	320	+0.94	+302.0
2	M.Nowosadzki	🇵🇱 POLAND	320	+0.94	+302.0
3	L.Hu	🇨🇳 CHINA	256	+0.86	+220.0
4	Y.Liu	🇨🇳 CHINA	256	+0.86	+220.0
5	S.De Wijs	🇳🇱 NETHERLANDS	240	+0.82	+197.0
6	B.Muller	🇳🇱 NETHERLANDS	240	+0.82	+197.0
7	J.Meckstroth	🇺🇸 USA 1	288	+0.80	+230.0
8	E.Rodwell	🇺🇸 USA 1	288	+0.80	+230.0
9	S.Wan	🇭🇰 CHINA HONG KONG	240	+0.78	+188.0
10	D.Zen	🇭🇰 CHINA HONG KONG	240	+0.78	+188.0
11	A.Birman	🇮🇱 ISRAEL	272	+0.77	+209.0
12	D.Padon	🇮🇱 ISRAEL	272	+0.77	+209.0
13	K.Anklesaria	🇮🇳 INDIA	288	+0.74	+213.0
14	R.Tewari	🇮🇳 INDIA	288	+0.74	+213.0
15	T.Aa	🇳🇴 NORWAY	224	+0.73	+164.0
16	A.Livgard	🇳🇴 NORWAY	224	+0.73	+164.0
17	G.Duboin	🇮🇹 ITALY	160	+0.73	+117.0
18	R.Levin	🇺🇸 USA 1	288	+0.72	+207.0
19	S.Weinstein	🇺🇸 USA 1	288	+0.72	+207.0
20	D.Bakhshi	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	272	+0.70	+191.0
21	A.Malinowski	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	272	+0.70	+191.0
22	B.Brogeland	🇳🇴 NORWAY	336	+0.66	+223.0
23	E.Lindqvist	🇳🇴 NORWAY	336	+0.66	+223.0
24	C.Ju	🇨🇳 CHINA	240	+0.63	+151.0
25	Z.Shi	🇨🇳 CHINA	240	+0.63	+151.0
26	A.Bach	🇳🇿 NEW ZEALAND	288	+0.60	+173.0
27	M.Cornell	🇳🇿 NEW ZEALAND	288	+0.60	+173.0
28	R.Van Prooijen	🇳🇱 NETHERLANDS	256	+0.60	+153.0
29	J.Verhees	🇳🇱 NETHERLANDS	256	+0.60	+153.0
30	T.Salah	🇪🇬 EGYPT	224	+0.52	+117.0
31	A.Zein	🇪🇬 EGYPT	224	+0.52	+117.0
32	N.Edgtton	🇦🇺 AUSTRALIA	304	+0.48	+147.0
33	A.Hung	🇦🇺 AUSTRALIA	304	+0.48	+147.0
34	F.Nystrom	🇸🇪 SWEDEN	240	+0.48	+115.0
35	J.Upmark	🇸🇪 SWEDEN	240	+0.48	+115.0
36	L.Milne	🇦🇺 AUSTRALIA	160	+0.46	+73.0
37	T.Nunn	🇦🇺 AUSTRALIA	160	+0.46	+73.0
38	M.Rimstedt	🇸🇪 SWEDEN	256	+0.42	+107.0
39	O.Rimstedt	🇸🇪 SWEDEN	256	+0.42	+107.0
40	S.Ekenberg	🇸🇪 SWEDEN	240	+0.37	+89.0
41	S.Hult	🇸🇪 SWEDEN	240	+0.37	+89.0
42	K.Buras	🇵🇱 POLAND	288	+0.36	+105.0
43	G.Narkiewicz	🇵🇱 POLAND	288	+0.36	+105.0
44	G.Tislevoll	🇳🇿 NEW ZEALAND	160	+0.36	+57.0
45	M.Ware	🇳🇿 NEW ZEALAND	160	+0.36	+57.0
46	Z.Marcinski	🇨🇦 CANADA	336	+0.32	+109.0
47	A.Versace	🇮🇹 ITALY	368	+0.32	+119.0
48	N.Bocchi	🇮🇹 ITALY	304	+0.27	+81.0
49	A.Sementa	🇮🇹 ITALY	304	+0.27	+81.0
50	M.Ahasan	🇧🇩 BANGLADESH	192	+0.24	+46.0
51	N.L'Ecuyer	🇨🇦 CANADA	368	+0.20	+73.0
52	J.Pacareu	🇨🇱 CHILE	320	+0.16	+52.0
53	B.Robles	🇨🇱 CHILE	320	+0.16	+52.0
54	G.Chen	🇨🇳 CHINA	240	+0.15	+36.0
55	Z.Zhuang	🇨🇳 CHINA	240	+0.15	+36.0
56	M.Fleisher	🇺🇸 USA 2	224	+0.14	+31.0
57	C.Martel	🇺🇸 USA 2	224	+0.14	+31.0
58	R.Angeleri	🇦🇷 ARGENTINA	240	+0.13	+31.0
59	R.Poleschi	🇦🇷 ARGENTINA	240	+0.13	+31.0
60	L.Gontha	🇮🇩 INDONESIA	240	+0.10	+25.0
61	S.Suhendro	🇮🇩 INDONESIA	240	+0.10	+25.0
62	T.Forrester	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	256	+0.09	+24.0
63	A.Robson	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	256	+0.09	+24.0
64	L.Lauria	🇮🇹 ITALY	272	+0.05	+13.0
65	E.Greco	🇺🇸 USA 2	288	-0.00	-1.0
66	G.Hampson	🇺🇸 USA 2	288	-0.00	-1.0
67	Y.Liu	🇸🇬 SINGAPORE	256	-0.00	-1.0
68	C.Luo	🇸🇬 SINGAPORE	256	-0.00	-1.0
69	I.Bareket	🇮🇱 ISRAEL	208	-0.00	-1.0
70	A.Lengy	🇮🇱 ISRAEL	208	-0.00	-1.0
71	K.Fergani	🇨🇦 CANADA	256	-0.05	-13.0
72	J.Bojoh	🇮🇩 INDONESIA	240	-0.07	-16.0
73	F.Karwur	🇮🇩 INDONESIA	240	-0.07	-16.0
74	M.Brown	🇳🇿 NEW ZEALAND	288	-0.08	-23.0
75	M.Whibley	🇳🇿 NEW ZEALAND	288	-0.08	-23.0
76	A.Levin	🇮🇱 ISRAEL	256	-0.09	-23.0
77	J.Roll	🇮🇱 ISRAEL	256	-0.09	-23.0
78	R.Katz	🇺🇸 USA 1	160	-0.11	-17.0
79	N.Nickell	🇺🇸 USA 1	160	-0.11	-17.0
80	K.Fong	🇸🇬 SINGAPORE	240	-0.12	-28.0
81	Y.Zhang	🇸🇬 SINGAPORE	240	-0.12	-28.0
82	P.Cazabon	🇨🇱 CHILE	160	-0.12	-19.0
83	D.Ramirez	🇨🇱 CHILE	160	-0.12	-19.0
84	F.Pollack	🇨🇦 CANADA	288	-0.15	-43.0
85	P.Lau	🇭🇰 CHINA HONG KONG	240	-0.18	-44.0
86	C.Ng	🇭🇰 CHINA HONG KONG	240	-0.18	-44.0
87	J.Allerton	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	208	-0.19	-39.0
88	C.Jagger	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	208	-0.19	-39.0
89	M.Krasnosselski	🇷🇺 RUSSIA	240	-0.20	-47.0
90	S.Orlov	🇷🇺 RUSSIA	240	-0.20	-47.0
91	N.Kvangraven	🇳🇴 NORWAY	176	-0.22	-38.0
92	U.Tundal	🇳🇴 NORWAY	176	-0.22	-38.0
93	J.George	🇮🇩 INDONESIA	256	-0.22	-56.0
94	R.Parasian	🇮🇩 INDONESIA	256	-0.22	-56.0
95	B.Drijver	🇳🇱 NETHERLANDS	240	-0.23	-55.0
96	B.Nab	🇳🇱 NETHERLANDS	240	-0.23	-55.0
97	Y.Khiuppenen	🇷🇺 RUSSIA	240	-0.23	-55.0
98	V.Kholomeev	🇷🇺 RUSSIA	240	-0.23	-55.0
99	W.Lai	🇭🇰 CHINA HONG KONG	256	-0.25	-63.0
100	K.Mak	🇭🇰 CHINA HONG KONG	256	-0.25	-63.0
101	M.Caracci	🇨🇱 CHILE	256	-0.34	-86.0
102	J.Robles	🇨🇱 CHILE	256	-0.34	-86.0
103	J.Khokhlov	🇷🇺 RUSSIA	256	-0.35	-89.0
104	G.Matushko	🇷🇺 RUSSIA	256	-0.35	-89.0
105	J.Lall	🇺🇸 USA 2	224	-0.39	-88.0
106	B.Moss	🇺🇸 USA 2	224	-0.39	-88.0
107	C.Garnier	🇬🇵 GUADELOUPE	240	-0.41	-99.0
108	A.Kempczynski	🇬🇵 GUADELOUPE	240	-0.41	-99.0
109	C.Lam	🇸🇬 SINGAPORE	240	-0.45	-107.0
110	W.Tan	🇸🇬 SINGAPORE	240	-0.45	-107.0
111	A.Bhattacharjee	🇮🇳 INDIA	256	-0.47	-121.0
112	D.Santra	🇮🇳 INDIA	256	-0.47	-121.0
113	M.Rahman	🇧🇩 BANGLADESH	304	-0.47	-144.0
114	M.Fourcaudot	🇨🇦 CANADA	224	-0.52	-116.0
115	U.Gupta	🇮🇳 INDIA	192	-0.55	-105.0
116	N.Kirubakaramoorthy	🇮🇳 INDIA	192	-0.55	-105.0
117	S.Haque	🇧🇩 BANGLADESH	272	-0.55	-149.0
118	P.Gill	🇦🇺 AUSTRALIA	272	-0.56	-152.0
119	S.Hans	🇦🇺 AUSTRALIA	272	-0.56	-152.0
120	A.Pejacsevich	🇦🇷 ARGENTINA	272	-0.57	-156.0
121	C.Pellegrini	🇦🇷 ARGENTINA	272	-0.57	-156.0
122	KAMRUZZAMAN A H M	🇧🇩 BANGLADESH	272	-0.62	-168.0
123	F.Tiscornia	🇦🇷 ARGENTINA	224	-0.69	-155.0
124	M.Zonca	🇦🇷 ARGENTINA	224	-0.69	-155.0
125	P.Mathieu	🇬🇵 GUADELOUPE	256	-0.79	-202.0
126	L.Soudan	🇬🇵 GUADELOUPE	256	-0.79	-202.0
127	M.Chowdhury	🇧🇩 BANGLADESH	304	-0.79	-241.0
128	P.Sibony	🇲🇦 MOROCCO	256	-0.79	-203.0
129	J.Botbol	🇲🇦 MOROCCO	272	-0.83	-227.0
130	F.Lahlou	🇲🇦 MOROCCO	224	-0.87	-195.0
131	S.Dahan	🇲🇦 MOROCCO	240	-0.91	-219.0
132	D.Gerin	🇬🇵 GUADELOUPE	240	-0.97	-232.0
133	J.Pelletier	🇬🇵 GUADELOUPE	240	-0.97	-232.0
134	R.Amiry	🇪🇬 EGYPT	256	-0.98	-250.0
135	A.Samir	🇪🇬 EGYPT	256	-0.98	-250.0
136	B.Ramadan	🇪🇬 EGYPT	256	-0.98	-250.0
137	A.Salah	🇪🇬 EGYPT	256	-0.98	-250.0
138	A.Belkouch	🇲🇦 MOROCCO	240	-2.15	-516.0
139	M.Dinia	🇲🇦 MOROCCO	240	-2.15	-516.0
140	A.Madala	🇮🇹 ITALY	64	+0.17	+11.0
141	B.Chmurski	🇵🇱 POLAND	128	-0.38	-49.0
142	P.Tuczynski	🇵🇱 POLAND	128	-0.38	-49.0
143	M.Islam	🇧🇩 BANGLADESH	128	-1.77	-226.0

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	C.Ju	🇨🇳 CHINA	24	91.7%	0.08
2	R.Poleschi	🇦🇷 ARGENTINA	57	89.5%	0.16
3	C.Luo	🇸🇬 SINGAPORE	66	89.4%	0.14
4	B.Muller	🇳🇱 NETHERLANDS	63	88.9%	0.11
5	A.Kempczynski	🇬🇵 GUADELOUPE	72	87.5%	0.18
6	N.Bocchi	🇮🇹 ITALY	83	86.7%	0.14
7	A.Belkouch	🇲🇦 MOROCCO	52	86.5%	0.14
8	E.Rodwell	🇺🇸 USA 1	72	86.1%	0.17
9	U.Tundal	🇳🇴 NORWAY	36	86.1%	0.17
10	G.Tislevoll	🇳🇿 NEW ZEALAND	35	85.7%	0.17
11	A.Salah	🇪🇬 EGYPT	62	85.5%	0.14
12	A.Versace	🇮🇹 ITALY	73	84.9%	0.15
13	J.Allerton	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	59	84.7%	0.15
14	R.Amiry	🇪🇬 EGYPT	59	84.7%	0.17
15	R.Parasian	🇮🇩 INDONESIA	65	84.6%	0.17
16	R.Katz	🇺🇸 USA 1	32	84.4%	0.16
17	G.Chen	🇨🇳 CHINA	51	84.3%	0.16
18	M.Ahasan	🇧🇩 BANGLADESH	44	84.1%	0.16
19	U.Gupta	🇮🇳 INDIA	50	84.0%	0.16
20	A.Hung	🇦🇺 AUSTRALIA	75	84.0%	0.20
21	R.Van Prooijen	🇳🇱 NETHERLANDS	68	83.8%	0.19
22	Y.Liu	🇸🇬 SINGAPORE	65	83.1%	0.18
23	W.Lai	🇭🇰 CHINA HONG KONG	63	82.5%	0.24
24	C.Pellegrini	🇦🇷 ARGENTINA	73	82.2%	0.22
25	J.Pelletier	🇬🇵 GUADELOUPE	56	82.1%	0.20
26	T.Nunn	🇦🇺 AUSTRALIA	38	81.6%	0.21
27	J.George	🇮🇩 INDONESIA	54	81.5%	0.22
28	C.Martel	🇺🇸 USA 2	59	81.4%	0.19
29	B.Drijver	🇳🇱 NETHERLANDS	69	81.2%	0.19
30	D.Zen	🇭🇰 CHINA HONG KONG	69	81.2%	0.22
31	L.Hu	🇨🇳 CHINA	64	81.2%	0.28
32	A.Levin	🇮🇱 ISRAEL	53	81.1%	0.23
33	A.Birman	🇮🇱 ISRAEL	84	81.0%	0.23
34	N.L'Ecuyer	🇨🇦 CANADA	99	80.8%	0.21
35	J.Bojoh	🇮🇩 INDONESIA	78	80.8%	0.22
36	D.Padon	🇮🇱 ISRAEL	72	80.6%	0.19
37	Y.Khiuppenen	🇷🇺 RUSSIA	67	80.6%	0.22
38	C.Jagger	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	46	80.4%	0.20
39	A.Lengy	🇮🇱 ISRAEL	51	80.4%	0.22
40	E.Greco	🇺🇸 USA 2	71	80.3%	0.23
41	N.Nickell	🇺🇸 USA 1	45	80.0%	0.20
42	C.Ng	🇭🇰 CHINA HONG KONG	65	80.0%	0.23
43	F.Karwur	🇮🇩 INDONESIA	60	80.0%	0.25
44	L.Soudan	🇬🇵 GUADELOUPE	60	80.0%	0.25
45	O.Rimstedt	🇸🇪 SWEDEN	54	79.6%	0.20
46	S.Dahan	🇲🇦 MOROCCO	54	79.6%	0.22
47	A.Livgard	🇳🇴 NORWAY	49	79.6%	0.24
48	J.Kalita	🇵🇱 POLAND	78	79.5%	0.26
49	K.Fergani	🇨🇦 CANADA	68	79.4%	0.21
50	Y.Liu	🇨🇳 CHINA	63	79.4%	0.22
51	T.Forrester	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	63	79.4%	0.24
52	L.Lauria	🇮🇹 ITALY	63	79.4%	0.24
53	D.Santra	🇮🇳 INDIA	63	79.4%	0.24
54	J.Pacareu	🇨🇱 CHILE	53	79.2%	0.21
55	S.Orlov	🇷🇺 RUSSIA	53	79.2%	0.24
56	W.Tan	🇸🇬 SINGAPORE	67	79.1%	0.24
57	M.Rahman	🇧🇩 BANGLADESH	81	79.0%	0.21
58	A.Zein	🇪🇬 EGYPT	38	78.9%	0.24
59	F.Pollack	🇨🇦 CANADA	66	78.8%	0.26
60	D.Gerin	🇬🇵 GUADELOUPE	61	78.7%	0.21
61	B.Moss	🇺🇸 USA 2	47	78.7%	0.28
62	P.Lau	🇭🇰 CHINA HONG KONG	56	78.6%	0.27
63	A.Bach	🇳🇿 NEW ZEALAND	65	78.5%	0.23
64	J.Roll	🇮🇱 ISRAEL	74	78.4%	0.24
65	M.Fleisher	🇺🇸 USA 2	60	78.3%	0.23
66	M.Cornell	🇳🇿 NEW ZEALAND	69	78.3%	0.28
67	F.Tiscornia	🇦🇷 ARGENTINA	64	78.1%	0.23
68	C.Garnier	🇬🇵 GUADELOUPE	64	78.1%	0.25
69	J.Meckstroth	🇺🇸 USA 1	68	77.9%	0.23
70	A.Malinowski	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	72	77.8%	0.24
71	P.Gill	🇦🇺 AUSTRALIA	63	77.8%	0.24
72	J.Robles	🇨🇱 CHILE	63	77.8%	0.25
73	M.Whibley	🇳🇿 NEW ZEALAND	72	77.8%	0.28
74	A.Robson	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	63	77.8%	0.29
75	N.Edgtton	🇦🇺 AUSTRALIA	81	77.8%	0.31
76	J.Khokhlov	🇷🇺 RUSSIA	58	77.6%	0.24
77	L.Gontha	🇮🇩 INDONESIA	66	77.3%	0.26
78	V.Kholomeev	🇷🇺 RUSSIA	61	77.0%	0.29
79	B.Robles	🇨🇱 CHILE	108	76.9%	0.28
80	D.Ramirez	🇨🇱 CHILE	39	76.9%	0.28
81	M.Brown	🇳🇿 NEW ZEALAND	69	76.8%	0.26
82	S.Hans	🇦🇺 AUSTRALIA	60	76.7%	0.32
83	P.Mathieu	🇬🇵 GUADELOUPE	64	76.6%	0.25
84	B.Ramadan	🇪🇬 EGYPT	64	76.6%	0.30
85	A.Samir	🇪🇬 EGYPT	81	76.5%	0.30
86	E.Lindqvist	🇳🇴 NORWAY	72	76.4%	0.25
87	M.Rimstedt	🇸🇪 SWEDEN	76	76.3%	0.29
88	G.Matushko	🇷🇺 RUSSIA	63	76.2%	0.24
89	Y.Zhang	🇸🇬 SINGAPORE	58	75.9%	0.24
90	KAMRUZZAMAN A H M	🇧🇩 BANGLADESH	62	75.8%	0.24
91	M.Chowdhury	🇧🇩 BANGLADESH	78	75.6%	0.26
92	Z.Zhuang	🇨🇳 CHINA	57	75.4%	0.28
93	M.Zonca	🇦🇷 ARGENTINA	57	75.4%	0.32
94	S.Hult	🇸🇪 SWEDEN	56	75.0%	0.27
95	R.Tewari	🇮🇳 INDIA	76	75.0%	0.28
96	S.De Wijs	🇳🇱 NETHERLANDS	60	75.0%	0.28
97	I.Bareket	🇮🇱 ISRAEL	48	75.0%	0.29
98	K.Buras	🇵🇱 POLAND	64	75.0%	0.30
99	L.Milne	🇦🇺 AUSTRALIA	48	75.0%	0.31
100	F.Lahlou	🇲🇦 MOROCCO	64	75.0%	0.34
101	M.Nowosadzki	🇵🇱 POLAND	87	74.7%	0.31
102	S.Ekenberg	🇸🇪 SWEDEN	55	74.5%	0.29
103	J.Botbol	🇲🇦 MOROCCO	74	74.3%	0.28
104	G.Hampson	🇺🇸 USA 2	62	74.2%	0.29
105	J.Upmark	🇸🇪 SWEDEN	62	74.2%	0.35
106	S.Haque	🇧🇩 BANGLADESH	69	73.9%	0.29
107	N.Kirubakaramoorthy	🇮🇳 INDIA	42	73.8%	0.26
108	K.Mak	🇭🇰 CHINA HONG KONG	61	73.8%	0.28
109	S.Suhendro	🇮🇩 INDONESIA	65	73.8%	0.35
110	M.Ware	🇳🇿 NEW ZEALAND	38	73.7%	0.26
111	Z.Marcinski	🇨🇦 CANADA	72	73.6%	0.33
112	P.Sibony	🇲🇦 MOROCCO	64	73.4%	0.30
113	M.Krasnosselski	🇷🇺 RUSSIA	60	73.3%	0.33
114	G.Narkiewicz	🇵🇱 POLAND	71	73.2%	0.31
115	R.Levin	🇺🇸 USA 1	78	73.1%	0.35
116	J.Verhees	🇳🇱 NETHERLANDS	63	73.0%	0.29
117	K.Anklesaria	🇮🇳 INDIA	70	72.9%	0.36
118	S.Weinstein	🇺🇸 USA 1	66	72.7%	0.30
119	G.Duboin	🇮🇹 ITALY	44	72.7%	0.34
120	M.Caracci	🇨🇱 CHILE	62	72.6%	0.27
121	A.Pejacsevich	🇦🇷 ARGENTINA	62	72.6%	0.31
122	A.Sementa	🇮🇹 ITALY	83	72.3%	0.28
123	D.Bakhshi	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	54	72.2%	0.33
124	Z.Shi	🇨🇳 CHINA	100	72.0%	0.35
125	F.Nystrom	🇸🇪 SWEDEN	64	71.9%	0.28
126	M.Fourcaudot	🇨🇦 CANADA	57	71.9%	0.33
127	P.Cazabon	🇨🇱 CHILE	49	71.4%	0.29
128	R.Angeleri	🇦🇷 ARGENTINA	70	71.4%	0.36
129	S.Wan	🇭🇰 CHINA HONG KONG	61	70.5%	0.33
130	A.Bhattacharjee	🇮🇳 INDIA	64	70.3%	0.31
131	J.Lall	🇺🇸 USA 2	60	70.0%	0.47
132	N.Kvangraven	🇳🇴 NORWAY	33	69.7%	0.39
133	B.Nab	🇳🇱 NETHERLANDS	55	69.1%	0.34
134	B.Brogeland	🇳🇴 NORWAY	94	69.1%	0.36
135	T.Salah	🇪🇬 EGYPT	74	68.9%	0.34
136	M.Dinia	🇲🇦 MOROCCO	61	67.2%	0.46
137	K.Fong	🇸🇬 SINGAPORE	60	66.7%	0.33
138	T.Aa	🇳🇴 NORWAY	72	66.7%	0.35
139	C.Lam	🇸🇬 SINGAPORE	54	66.7%	0.35
140	A.Madala	🇮🇹 ITALY	15	93.3%	0.07
141	P.Tuczynski	🇵🇱 POLAND	24	79.2%	0.21
142	M.Islam	🇧🇩 BANGLADESH	28	67.9%	0.39
143	B.Chmurski	🇵🇱 POLAND	31	67.7%	0.45

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	A.Malinowski	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	72	90.3%	0.12
2	C.Pellegrini	🇦🇷 ARGENTINA	72	90.3%	0.14
3	A.Lengy	🇮🇱 ISRAEL	45	88.9%	0.11
4	W.Tan	🇸🇬 SINGAPORE	62	88.7%	0.16
5	N.Kvangraven	🇳🇴 NORWAY	51	88.2%	0.12
6	S.Weinstein	🇺🇸 USA 1	76	88.2%	0.18
7	A.Versace	🇮🇹 ITALY	97	86.6%	0.15
8	M.Nowosadzki	🇵🇱 POLAND	70	84.3%	0.19
9	A.Birman	🇮🇱 ISRAEL	57	84.2%	0.19
10	T.Nunn	🇦🇺 AUSTRALIA	31	83.9%	0.26
11	L.Milne	🇦🇺 AUSTRALIA	43	83.7%	0.28
12	Y.Liu	🇨🇳 CHINA	55	83.6%	0.20
13	G.Matushko	🇷🇺 RUSSIA	65	83.1%	0.20
14	S.Ekenberg	🇸🇪 SWEDEN	59	83.1%	0.20
15	B.Muller	🇳🇱 NETHERLANDS	53	83.0%	0.19
16	S.De Wijs	🇳🇱 NETHERLANDS	64	82.8%	0.22
17	T.Aa	🇳🇴 NORWAY	51	82.4%	0.26
18	R.Levin	🇺🇸 USA 1	67	82.1%	0.19
19	U.Tundal	🇳🇴 NORWAY	56	82.1%	0.20
20	F.Karwur	🇮🇩 INDONESIA	43	81.4%	0.33
21	E.Lindqvist	🇳🇴 NORWAY	93	80.6%	0.25
22	A.Livgard	🇳🇴 NORWAY	51	80.4%	0.22
23	R.Parasian	🇮🇩 INDONESIA	66	80.3%	0.27
24	L.Lauria	🇮🇹 ITALY	80	80.0%	0.21
25	B.Moss	🇺🇸 USA 2	60	80.0%	0.22
26	K.Fong	🇸🇬 SINGAPORE	65	80.0%	0.23
27	N.Bocchi	🇮🇹 ITALY	80	80.0%	0.24
28	K.Fergani	🇨🇦 CANADA	60	80.0%	0.28
29	T.Forrester	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	64	79.7%	0.22
30	K.Mak	🇭🇰 CHINA HONG KONG	59	79.7%	0.24
31	E.Rodwell	🇺🇸 USA 1	64	79.7%	0.27
32	R.Van Prooijen	🇳🇱 NETHERLANDS	68	79.4%	0.23
33	J.Robles	🇨🇱 CHILE	68	79.4%	0.23
34	M.Caracci	🇨🇱 CHILE	63	79.4%	0.35
35	V.Kholomeev	🇷🇺 RUSSIA	61	78.7%	0.25
36	M.Cornell	🇳🇿 NEW ZEALAND	84	78.6%	0.24
37	J.Meckstroth	🇺🇸 USA 1	83	78.3%	0.29
38	S.Hult	🇸🇪 SWEDEN	69	78.3%	0.29
39	A.Bhattacharjee	🇮🇳 INDIA	69	78.3%	0.29
40	A.Hung	🇦🇺 AUSTRALIA	78	78.2%	0.26
41	F.Nystrom	🇸🇪 SWEDEN	55	78.2%	0.29
42	N.L'Ecuyer	🇨🇦 CANADA	110	78.2%	0.29
43	O.Rimstedt	🇸🇪 SWEDEN	63	77.8%	0.24
44	J.Roll	🇮🇱 ISRAEL	76	77.6%	0.22
45	M.Fleisher	🇺🇸 USA 2	58	77.6%	0.28
46	U.Gupta	🇮🇳 INDIA	53	77.4%	0.23
47	B.Ramadan	🇪🇬 EGYPT	62	77.4%	0.27
48	D.Padon	🇮🇱 ISRAEL	57	77.2%	0.30
49	A.Bach	🇳🇿 NEW ZEALAND	70	77.1%	0.26
50	R.Poleschi	🇦🇷 ARGENTINA	65	76.9%	0.37
51	B.Nab	🇳🇱 NETHERLANDS	56	76.8%	0.25
52	B.Robles	🇨🇱 CHILE	69	76.8%	0.26
53	W.Lai	🇭🇰 CHINA HONG KONG	73	76.7%	0.25
54	I.Bareket	🇮🇱 ISRAEL	64	76.6%	0.30
55	M.Ahasan	🇧🇩 BANGLADESH	47	76.6%	0.32
56	R.Tewari	🇮🇳 INDIA	51	76.5%	0.29
57	M.Krasnosselski	🇷🇺 RUSSIA	68	76.5%	0.31
58	C.Jagger	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	51	76.5%	0.31
59	M.Whibley	🇳🇿 NEW ZEALAND	75	76.0%	0.32
60	K.Buras	🇵🇱 POLAND	83	75.9%	0.29
61	G.Narkiewicz	🇵🇱 POLAND	70	75.7%	0.34
62	C.Lam	🇸🇬 SINGAPORE	57	75.4%	0.28
63	J.Lall	🇺🇸 USA 2	57	75.4%	0.30
64	B.Brogeland	🇳🇴 NORWAY	77	75.3%	0.33
65	L.Hu	🇨🇳 CHINA	73	75.3%	0.33
66	Z.Zhuang	🇨🇳 CHINA	64	75.0%	0.30
67	J.Kalita	🇵🇱 POLAND	84	75.0%	0.32
68	A.Pejacsevich	🇦🇷 ARGENTINA	64	75.0%	0.34
69	T.Salah	🇪🇬 EGYPT	60	75.0%	0.35
70	M.Ware	🇳🇿 NEW ZEALAND	40	75.0%	0.38
71	M.Fourcaudot	🇨🇦 CANADA	55	74.5%	0.33
72	J.Bojoh	🇮🇩 INDONESIA	58	74.1%	0.33
73	D.Gerin	🇬🇵 GUADELOUPE	50	74.0%	0.32
74	N.Edgtton	🇦🇺 AUSTRALIA	69	73.9%	0.26
75	C.Martel	🇺🇸 USA 2	46	73.9%	0.35
76	A.Robson	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	65	73.8%	0.31
77	P.Gill	🇦🇺 AUSTRALIA	76	73.7%	0.30
78	E.Greco	🇺🇸 USA 2	83	73.5%	0.29
79	C.Luo	🇸🇬 SINGAPORE	49	73.5%	0.35
80	S.Wan	🇭🇰 CHINA HONG KONG	45	73.3%	0.40
81	M.Brown	🇳🇿 NEW ZEALAND	71	73.2%	0.32
82	Z.Shi	🇨🇳 CHINA	26	73.1%	0.31
83	C.Garnier	🇬🇵 GUADELOUPE	44	72.7%	0.32
84	S.Hans	🇦🇺 AUSTRALIA	73	72.6%	0.37
85	Y.Khiuppenen	🇷🇺 RUSSIA	51	72.5%	0.28
86	P.Lau	🇭🇰 CHINA HONG KONG	58	72.4%	0.31
87	P.Sibony	🇲🇦 MOROCCO	58	72.4%	0.34
88	J.Pelletier	🇬🇵 GUADELOUPE	72	72.2%	0.29
89	R.Katz	🇺🇸 USA 1	32	71.9%	0.28
90	S.Orlov	🇷🇺 RUSSIA	57	71.9%	0.40
91	S.Suhendro	🇮🇩 INDONESIA	53	71.7%	0.36
92	L.Gontha	🇮🇩 INDONESIA	53	71.7%	0.41
93	Y.Liu	🇸🇬 SINGAPORE	74	71.6%	0.42
94	M.Rimstedt	🇸🇪 SWEDEN	63	71.4%	0.36
95	A.Samir	🇪🇬 EGYPT	63	71.4%	0.36
96	J.Pacareu	🇨🇱 CHILE	90	71.1%	0.30
97	F.Pollack	🇨🇦 CANADA	76	71.1%	0.37
98	J.Khokhlov	🇷🇺 RUSSIA	69	71.0%	0.38
99	D.Zen	🇭🇰 CHINA HONG KONG	65	70.8%	0.35
100	G.Chen	🇨🇳 CHINA	68	70.6%	0.35
101	C.Ng	🇭🇰 CHINA HONG KONG	61	70.5%	0.31
102	J.George	🇮🇩 INDONESIA	71	70.4%	0.37
103	F.Lahlou	🇲🇦 MOROCCO	54	70.4%	0.37
104	S.Haque	🇧🇩 BANGLADESH	74	70.3%	0.35
105	N.Kirubakaramoorthy	🇮🇳 INDIA	47	70.2%	0.34
106	D.Santra	🇮🇳 INDIA	60	70.0%	0.37
107	N.Nickell	🇺🇸 USA 1	50	70.0%	0.42
108	Z.Marcinski	🇨🇦 CANADA	73	69.9%	0.42
109	D.Ramirez	🇨🇱 CHILE	33	69.7%	0.42
110	G.Tislevoll	🇳🇿 NEW ZEALAND	46	69.6%	0.33
111	F.Tiscornia	🇦🇷 ARGENTINA	56	69.6%	0.36
112	Y.Zhang	🇸🇬 SINGAPORE	56	69.6%	0.38
113	B.Drijver	🇳🇱 NETHERLANDS	59	69.5%	0.34
114	G.Duboin	🇮🇹 ITALY	39	69.2%	0.33
115	A.Salah	🇪🇬 EGYPT	68	69.1%	0.41
116	C.Ju	🇨🇳 CHINA	90	68.9%	0.33
117	J.Verhees	🇳🇱 NETHERLANDS	57	68.4%	0.33
118	KAMRUZZAMAN A H M	🇧🇩 BANGLADESH	76	68.4%	0.42
119	A.Levin	🇮🇱 ISRAEL	53	67.9%	0.41
120	D.Bakhshi	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	74	67.6%	0.41
121	M.Chowdhury	🇧🇩 BANGLADESH	77	67.5%	0.38
122	J.Upmark	🇸🇪 SWEDEN	58	67.2%	0.43
123	S.Dahan	🇲🇦 MOROCCO	60	66.7%	0.40
124	G.Hampson	🇺🇸 USA 2	72	66.7%	0.40
125	A.Zein	🇪🇬 EGYPT	50	66.0%	0.44
126	R.Angeleri	🇦🇷 ARGENTINA	47	66.0%	0.45
127	R.Amiry	🇪🇬 EGYPT	53	66.0%	0.47
128	A.Belkouch	🇲🇦 MOROCCO	58	65.5%	0.40
129	A.Sementa	🇮🇹 ITALY	58	65.5%	0.43
130	K.Anklesaria	🇮🇳 INDIA	90	64.4%	0.44
131	P.Cazabon	🇨🇱 CHILE	39	64.1%	0.46
132	J.Allerton	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	52	63.5%	0.42
133	M.Dinia	🇲🇦 MOROCCO	69	62.3%	0.43
134	M.Rahman	🇧🇩 BANGLADESH	69	62.3%	0.48
135	P.Mathieu	🇬🇵 GUADELOUPE	67	61.2%	0.46
136	M.Zonca	🇦🇷 ARGENTINA	46	60.9%	0.52
137	L.Soudan	🇬🇵 GUADELOUPE	63	60.3%	0.49
138	A.Kempczynski	🇬🇵 GUADELOUPE	60	55.0%	0.60
139	J.Botbol	🇲🇦 MOROCCO	65	49.2%	0.71
140	B.Chmurski	🇵🇱 POLAND	37	94.6%	0.05
141	A.Madala	🇮🇹 ITALY	21	81.0%	0.24
142	M.Islam	🇧🇩 BANGLADESH	31	80.6%	0.42
143	P.Tuczynski	🇵🇱 POLAND	36	75.0%	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	J.Meckstroth	🇺🇸 USA 1	140	95.0%	0.06
2	E.Rodwell	🇺🇸 USA 1	140	95.0%	0.06
3	J.Kalita	🇵🇱 POLAND	165	92.7%	0.07
4	M.Nowosadzki	🇵🇱 POLAND	165	92.7%	0.07
5	M.Rimstedt	🇸🇪 SWEDEN	130	92.3%	0.09
6	O.Rimstedt	🇸🇪 SWEDEN	130	92.3%	0.09
7	B.Brogeland	🇳🇴 NORWAY	166	92.2%	0.08
8	E.Lindqvist	🇳🇴 NORWAY	166	92.2%	0.08
9	Y.Khiuppenen	🇷🇺 RUSSIA	128	92.2%	0.09
10	V.Kholomeev	🇷🇺 RUSSIA	128	92.2%	0.09
11	N.Bocchi	🇮🇹 ITALY	166	92.2%	0.10
12	A.Sementa	🇮🇹 ITALY	166	92.2%	0.10
13	A.Versace	🇮🇹 ITALY	165	92.1%	0.09
14	P.Cazabon	🇨🇱 CHILE	88	92.0%	0.10
15	D.Ramirez	🇨🇱 CHILE	88	92.0%	0.10
16	L.Lauria	🇮🇹 ITALY	116	91.4%	0.10
17	F.Nystrom	🇸🇪 SWEDEN	126	91.3%	0.09
18	J.Upmark	🇸🇪 SWEDEN	126	91.3%	0.09
19	T.Salah	🇪🇬 EGYPT	112	91.1%	0.10
20	A.Zein	🇪🇬 EGYPT	112	91.1%	0.10
21	G.Duboin	🇮🇹 ITALY	79	91.1%	0.10
22	K.Buras	🇵🇱 POLAND	135	91.1%	0.10
23	G.Narkiewicz	🇵🇱 POLAND	135	91.1%	0.10
24	S.De Wijs	🇳🇱 NETHERLANDS	123	91.1%	0.11
25	B.Muller	🇳🇱 NETHERLANDS	123	91.1%	0.11
26	L.Milne	🇦🇺 AUSTRALIA	86	90.7%	0.10
27	T.Nunn	🇦🇺 AUSTRALIA	86	90.7%	0.10
28	J.Pacareu	🇨🇱 CHILE	161	90.7%	0.12
29	B.Robles	🇨🇱 CHILE	161	90.7%	0.12
30	A.Birman	🇮🇱 ISRAEL	156	90.4%	0.11
31	D.Padon	🇮🇱 ISRAEL	156	90.4%	0.11
32	J.Khokhlov	🇷🇺 RUSSIA	121	90.1%	0.12
33	G.Matushko	🇷🇺 RUSSIA	121	90.1%	0.12
34	N.Kvangraven	🇳🇴 NORWAY	69	89.9%	0.12
35	U.Tundal	🇳🇴 NORWAY	69	89.9%	0.12
36	E.Greco	🇺🇸 USA 2	133	89.5%	0.11
37	G.Hampson	🇺🇸 USA 2	133	89.5%	0.11
38	J.Allerton	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	105	89.5%	0.12
39	C.Jagger	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	105	89.5%	0.12
40	M.Ahasan	🇧🇩 BANGLADESH	94	89.4%	0.11
41	P.Lau	🇭🇰 CHINA HONG KONG	121	89.3%	0.12
42	C.Ng	🇭🇰 CHINA HONG KONG	121	89.3%	0.12
43	F.Pollack	🇨🇦 CANADA	146	88.4%	0.14
44	T.Aa	🇳🇴 NORWAY	121	88.4%	0.14
45	A.Livgard	🇳🇴 NORWAY	121	88.4%	0.14
46	R.Katz	🇺🇸 USA 1	77	88.3%	0.13
47	N.Nickell	🇺🇸 USA 1	77	88.3%	0.13
48	M.Fourcaudot	🇨🇦 CANADA	110	88.2%	0.13
49	L.Hu	🇨🇳 CHINA	127	88.2%	0.13
50	Y.Liu	🇨🇳 CHINA	127	88.2%	0.13
51	J.George	🇮🇩 INDONESIA	119	88.2%	0.14
52	R.Parasian	🇮🇩 INDONESIA	119	88.2%	0.14
53	A.Bach	🇳🇿 NEW ZEALAND	134	88.1%	0.14
54	M.Cornell	🇳🇿 NEW ZEALAND	134	88.1%	0.14
55	N.L'Ecuyer	🇨🇦 CANADA	176	88.1%	0.15
56	Z.Marcinski	🇨🇦 CANADA	160	88.1%	0.15
57	G.Chen	🇨🇳 CHINA	108	88.0%	0.14
58	Z.Zhuang	🇨🇳 CHINA	108	88.0%	0.14
59	K.Anklesaria	🇮🇳 INDIA	146	87.7%	0.14
60	R.Tewari	🇮🇳 INDIA	146	87.7%	0.14
61	R.Levin	🇺🇸 USA 1	144	87.5%	0.12
62	S.Weinstein	🇺🇸 USA 1	144	87.5%	0.12
63	D.Bakhshi	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	126	87.3%	0.14
64	A.Malinowski	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	126	87.3%	0.14
65	M.Rahman	🇧🇩 BANGLADESH	150	87.3%	0.15
66	M.Caracci	🇨🇱 CHILE	125	87.2%	0.14
67	J.Robles	🇨🇱 CHILE	125	87.2%	0.14
68	M.Chowdhury	🇧🇩 BANGLADESH	148	87.2%	0.15
69	B.Drijver	🇳🇱 NETHERLANDS	124	87.1%	0.14
70	B.Nab	🇳🇱 NETHERLANDS	124	87.1%	0.14
71	KAMRUZZAMAN A H M	🇧🇩 BANGLADESH	132	87.1%	0.17
72	R.Van Prooijen	🇳🇱 NETHERLANDS	131	87.0%	0.14
73	J.Verhees	🇳🇱 NETHERLANDS	131	87.0%	0.14
74	S.Haque	🇧🇩 BANGLADESH	137	86.9%	0.17
75	A.Bhattacharjee	🇮🇳 INDIA	127	86.6%	0.15
76	D.Santra	🇮🇳 INDIA	127	86.6%	0.15
77	B.Ramadan	🇪🇬 EGYPT	126	86.5%	0.17
78	A.Salah	🇪🇬 EGYPT	126	86.5%	0.17
79	K.Fergani	🇨🇦 CANADA	132	86.4%	0.15
80	P.Mathieu	🇬🇵 GUADELOUPE	124	86.3%	0.18
81	L.Soudan	🇬🇵 GUADELOUPE	124	86.3%	0.18
82	G.Tislevoll	🇳🇿 NEW ZEALAND	73	86.3%	0.30
83	M.Ware	🇳🇿 NEW ZEALAND	73	86.3%	0.30
84	U.Gupta	🇮🇳 INDIA	92	85.9%	0.15
85	N.Kirubakaramoorthy	🇮🇳 INDIA	92	85.9%	0.15
86	T.Forrester	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	126	85.7%	0.15
87	A.Robson	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	126	85.7%	0.15
88	M.Fleisher	🇺🇸 USA 2	119	85.7%	0.16
89	C.Martel	🇺🇸 USA 2	119	85.7%	0.16
90	D.Gerin	🇬🇵 GUADELOUPE	117	85.5%	0.17
91	J.Pelletier	🇬🇵 GUADELOUPE	117	85.5%	0.17
92	Y.Liu	🇸🇬 SINGAPORE	131	85.5%	0.19
93	C.Luo	🇸🇬 SINGAPORE	131	85.5%	0.19
94	C.Ju	🇨🇳 CHINA	124	85.5%	0.22
95	Z.Shi	🇨🇳 CHINA	124	85.5%	0.22
96	S.Wan	🇭🇰 CHINA HONG KONG	130	85.4%	0.18
97	D.Zen	🇭🇰 CHINA HONG KONG	130	85.4%	0.18
98	A.Levin	🇮🇱 ISRAEL	127	85.0%	0.17
99	J.Roll	🇮🇱 ISRAEL	127	85.0%	0.17
100	J.Lall	🇺🇸 USA 2	107	85.0%	0.18
101	B.Moss	🇺🇸 USA 2	107	85.0%	0.18
102	J.Bojoh	🇮🇩 INDONESIA	138	84.8%	0.19
103	F.Karwur	🇮🇩 INDONESIA	138	84.8%	0.19
104	S.Ekenberg	🇸🇪 SWEDEN	111	84.7%	0.16
105	S.Hult	🇸🇪 SWEDEN	111	84.7%	0.16
106	R.Angeleri	🇦🇷 ARGENTINA	127	84.3%	0.19
107	R.Poleschi	🇦🇷 ARGENTINA	127	84.3%	0.19
108	N.Edgtton	🇦🇺 AUSTRALIA	156	84.0%	0.16
109	A.Hung	🇦🇺 AUSTRALIA	156	84.0%	0.16
110	L.Gontha	🇮🇩 INDONESIA	131	84.0%	0.19
111	S.Suhendro	🇮🇩 INDONESIA	131	84.0%	0.19
112	W.Lai	🇭🇰 CHINA HONG KONG	124	83.9%	0.16
113	K.Mak	🇭🇰 CHINA HONG KONG	124	83.9%	0.16
114	K.Fong	🇸🇬 SINGAPORE	118	83.9%	0.17
115	Y.Zhang	🇸🇬 SINGAPORE	118	83.9%	0.17
116	S.Dahan	🇲🇦 MOROCCO	124	83.9%	0.23
117	F.Lahlou	🇲🇦 MOROCCO	116	83.6%	0.23
118	C.Lam	🇸🇬 SINGAPORE	121	82.6%	0.21
119	W.Tan	🇸🇬 SINGAPORE	121	82.6%	0.21
120	M.Krasnosselski	🇷🇺 RUSSIA	113	82.3%	0.21
121	S.Orlov	🇷🇺 RUSSIA	113	82.3%	0.21
122	R.Amiry	🇪🇬 EGYPT	140	82.1%	0.21
123	A.Samir	🇪🇬 EGYPT	140	82.1%	0.21
124	F.Tiscornia	🇦🇷 ARGENTINA	121	81.8%	0.23
125	M.Zonca	🇦🇷 ARGENTINA	121	81.8%	0.23
126	J.Botbol	🇲🇦 MOROCCO	140	81.4%	0.29
127	P.Gill	🇦🇺 AUSTRALIA	123	81.3%	0.21
128	S.Hans	🇦🇺 AUSTRALIA	123	81.3%	0.21
129	P.Sibony	🇲🇦 MOROCCO	132	81.1%	0.29
130	M.Brown	🇳🇿 NEW ZEALAND	141	80.9%	0.22
131	M.Whibley	🇳🇿 NEW ZEALAND	141	80.9%	0.22
132	C.Garnier	🇬🇵 GUADELOUPE	136	80.9%	0.24
133	A.Kempczynski	🇬🇵 GUADELOUPE	136	80.9%	0.24
134	A.Belkouch	🇲🇦 MOROCCO	113	80.5%	0.22
135	M.Dinia	🇲🇦 MOROCCO	113	80.5%	0.22
136	A.Pejacsevich	🇦🇷 ARGENTINA	135	79.3%	0.21
137	C.Pellegrini	🇦🇷 ARGENTINA	135	79.3%	0.21
138	I.Bareket	🇮🇱 ISRAEL	99	77.8%	0.26
139	A.Lengy	🇮🇱 ISRAEL	99	77.8%	0.26
140	B.Chmurski	🇵🇱 POLAND	55	89.1%	0.11
141	P.Tuczynski	🇵🇱 POLAND	55	89.1%	0.11
142	A.Madala	🇮🇹 ITALY	30	86.7%	0.13
143	M.Islam	🇧🇩 BANGLADESH	63	82.5%	0.30

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.Meckstroth	🇺🇸 USA 1	288	-0.03	+0.98	+0.95	·
2	E.Rodwell	🇺🇸 USA 1	288	-0.03	+0.98	+0.95	·
3	F.Nystrom	🇸🇪 SWEDEN	240	+0.11	+0.75	+0.86	·
4	J.Upmark	🇸🇪 SWEDEN	240	+0.11	+0.75	+0.86	·
5	S.De Wijs	🇳🇱 NETHERLANDS	240	+0.08	+0.69	+0.77	▲6
6	B.Muller	🇳🇱 NETHERLANDS	240	+0.08	+0.69	+0.77	▲6
7	C.Ju	🇨🇳 CHINA	240	+0.01	+0.72	+0.73	▲2
8	Z.Shi	🇨🇳 CHINA	240	+0.01	+0.72	+0.73	▲2
9	J.Kalita	🇵🇱 POLAND	320	-0.03	+0.74	+0.72	▼4
10	M.Nowosadzki	🇵🇱 POLAND	320	-0.03	+0.74	+0.72	▼4
11	B.Brogeland	🇳🇴 NORWAY	336	-0.04	+0.73	+0.69	▼4
12	E.Lindqvist	🇳🇴 NORWAY	336	-0.04	+0.73	+0.69	▼4
13	A.Bach	🇳🇿 NEW ZEALAND	288	+0.08	+0.57	+0.65	▲2
14	M.Cornell	🇳🇿 NEW ZEALAND	288	+0.08	+0.57	+0.65	▲2
15	T.Forrester	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	256	-0.01	+0.53	+0.52	▲2
16	A.Robson	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	256	-0.01	+0.53	+0.52	▲2
17	R.Levin	🇺🇸 USA 1	288	+0.07	+0.43	+0.50	▲6
18	S.Weinstein	🇺🇸 USA 1	288	+0.07	+0.43	+0.50	▲6
19	L.Hu	🇨🇳 CHINA	256	+0.07	+0.42	+0.49	▲8
20	Y.Liu	🇨🇳 CHINA	256	+0.07	+0.42	+0.49	▲8
21	T.Aa	🇳🇴 NORWAY	224	-0.14	+0.63	+0.48	▼8
22	A.Livgard	🇳🇴 NORWAY	224	-0.14	+0.63	+0.48	▼8
23	A.Birman	🇮🇱 ISRAEL	272	+0.07	+0.39	+0.45	▲8
24	D.Padon	🇮🇱 ISRAEL	272	+0.07	+0.39	+0.45	▲8
25	N.Edgtton	🇦🇺 AUSTRALIA	304	+0.01	+0.43	+0.43	▼4
26	A.Hung	🇦🇺 AUSTRALIA	304	+0.01	+0.43	+0.43	▼4
27	K.Buras	🇵🇱 POLAND	288	+0.06	+0.35	+0.41	▲8
28	G.Narkiewicz	🇵🇱 POLAND	288	+0.06	+0.35	+0.41	▲8
29	A.Levin	🇮🇱 ISRAEL	256	+0.13	+0.27	+0.41	▲17
30	J.Roll	🇮🇱 ISRAEL	256	+0.13	+0.27	+0.41	▲17
31	A.Versace	🇮🇹 ITALY	368	+0.01	+0.39	+0.39	▲2
32	L.Lauria	🇮🇹 ITALY	272	+0.07	+0.29	+0.37	▲11
33	R.Van Prooijen	🇳🇱 NETHERLANDS	256	-0.07	+0.42	+0.35	▼8
34	J.Verhees	🇳🇱 NETHERLANDS	256	-0.07	+0.42	+0.35	▼8
35	G.Chen	🇨🇳 CHINA	240	-0.10	+0.44	+0.35	▼16
36	Z.Zhuang	🇨🇳 CHINA	240	-0.10	+0.44	+0.35	▼16
37	N.Bocchi	🇮🇹 ITALY	304	+0.01	+0.26	+0.27	▲13
38	A.Sementa	🇮🇹 ITALY	304	+0.01	+0.26	+0.27	▲13
39	E.Greco	🇺🇸 USA 2	288	-0.07	+0.33	+0.27	▼2
40	G.Hampson	🇺🇸 USA 2	288	-0.07	+0.33	+0.27	▼2
41	M.Rimstedt	🇸🇪 SWEDEN	256	-0.02	+0.29	+0.26	▲3
42	O.Rimstedt	🇸🇪 SWEDEN	256	-0.02	+0.29	+0.26	▲3
43	G.Duboin	🇮🇹 ITALY	160	-0.11	+0.37	+0.26	▼9
44	S.Ekenberg	🇸🇪 SWEDEN	240	-0.16	+0.41	+0.25	▼15
45	S.Hult	🇸🇪 SWEDEN	240	-0.16	+0.41	+0.25	▼15
46	P.Lau	🇭🇰 CHINA HONG KONG	240	+0.01	+0.19	+0.20	▲13
47	C.Ng	🇭🇰 CHINA HONG KONG	240	+0.01	+0.19	+0.20	▲13
48	J.Allerton	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	208	-0.13	+0.32	+0.19	▼7
49	C.Jagger	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	208	-0.13	+0.32	+0.19	▼7
50	M.Fleisher	🇺🇸 USA 2	224	+0.10	+0.07	+0.16	▲20
51	C.Martel	🇺🇸 USA 2	224	+0.10	+0.07	+0.16	▲20
52	K.Anklesaria	🇮🇳 INDIA	288	-0.17	+0.32	+0.16	▼13
53	R.Tewari	🇮🇳 INDIA	288	-0.17	+0.32	+0.16	▼13
54	S.Wan	🇭🇰 CHINA HONG KONG	240	-0.09	+0.23	+0.14	▼2
55	D.Zen	🇭🇰 CHINA HONG KONG	240	-0.09	+0.23	+0.14	▼2
56	D.Bakhshi	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	272	+0.02	+0.07	+0.09	▲16
57	A.Malinowski	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	272	+0.02	+0.07	+0.09	▲16
58	N.Kvangraven	🇳🇴 NORWAY	176	+0.00	+0.07	+0.07	▲8
59	U.Tundal	🇳🇴 NORWAY	176	+0.00	+0.07	+0.07	▲8
60	J.George	🇮🇩 INDONESIA	256	-0.15	+0.22	+0.07	▼6
61	R.Parasian	🇮🇩 INDONESIA	256	-0.15	+0.22	+0.07	▼6
62	B.Drijver	🇳🇱 NETHERLANDS	240	-0.06	+0.13	+0.07	▼1
63	B.Nab	🇳🇱 NETHERLANDS	240	-0.06	+0.13	+0.07	▼1
64	M.Ahasan	🇧🇩 BANGLADESH	192	-0.15	+0.20	+0.05	▼8
65	M.Caracci	🇨🇱 CHILE	256	+0.04	+0.01	+0.05	▲10
66	J.Robles	🇨🇱 CHILE	256	+0.04	+0.01	+0.05	▲10
67	Z.Marcinski	🇨🇦 CANADA	336	-0.00	+0.05	+0.04	▲7
68	A.Bhattacharjee	🇮🇳 INDIA	256	+0.18	-0.15	+0.03	▲22
69	D.Santra	🇮🇳 INDIA	256	+0.18	-0.15	+0.03	▲22
70	N.L'Ecuyer	🇨🇦 CANADA	368	-0.05	+0.08	+0.02	▼7
71	G.Tislevoll	🇳🇿 NEW ZEALAND	160	-0.25	+0.27	+0.02	▼23
72	M.Ware	🇳🇿 NEW ZEALAND	160	-0.25	+0.27	+0.02	▼23
73	L.Gontha	🇮🇩 INDONESIA	240	+0.27	-0.27	+0.01	▲29
74	S.Suhendro	🇮🇩 INDONESIA	240	+0.27	-0.27	+0.01	▲29
75	W.Lai	🇭🇰 CHINA HONG KONG	256	+0.10	-0.10	-0.00	▲9
76	K.Mak	🇭🇰 CHINA HONG KONG	256	+0.10	-0.10	-0.00	▲9
77	M.Brown	🇳🇿 NEW ZEALAND	288	-0.00	-0.00	-0.00	·
78	M.Whibley	🇳🇿 NEW ZEALAND	288	-0.00	-0.00	-0.00	·
79	L.Milne	🇦🇺 AUSTRALIA	160	-0.21	+0.20	-0.01	▼22
80	T.Nunn	🇦🇺 AUSTRALIA	160	-0.21	+0.20	-0.01	▼22
81	R.Angeleri	🇦🇷 ARGENTINA	240	+0.03	-0.05	-0.02	▼1
82	R.Poleschi	🇦🇷 ARGENTINA	240	+0.03	-0.05	-0.02	▼1
83	R.Katz	🇺🇸 USA 1	160	-0.14	+0.07	-0.07	▼19
84	N.Nickell	🇺🇸 USA 1	160	-0.14	+0.07	-0.07	▼19
85	K.Fergani	🇨🇦 CANADA	256	+0.08	-0.19	-0.12	▲9
86	J.Pacareu	🇨🇱 CHILE	320	-0.05	-0.07	-0.12	▼4
87	B.Robles	🇨🇱 CHILE	320	-0.05	-0.07	-0.12	▼4
88	Y.Khiuppenen	🇷🇺 RUSSIA	240	+0.04	-0.17	-0.13	▲4
89	V.Kholomeev	🇷🇺 RUSSIA	240	+0.04	-0.17	-0.13	▲4
90	F.Pollack	🇨🇦 CANADA	288	+0.07	-0.22	-0.15	▲9
91	C.Lam	🇸🇬 SINGAPORE	240	-0.04	-0.11	-0.15	▼5
92	W.Tan	🇸🇬 SINGAPORE	240	-0.04	-0.11	-0.15	▼5
93	M.Fourcaudot	🇨🇦 CANADA	224	-0.16	-0.01	-0.17	▼14
94	Y.Liu	🇸🇬 SINGAPORE	256	-0.04	-0.13	-0.17	▼6
95	C.Luo	🇸🇬 SINGAPORE	256	-0.04	-0.13	-0.17	▼6
96	J.Khokhlov	🇷🇺 RUSSIA	256	+0.03	-0.21	-0.18	▲1
97	G.Matushko	🇷🇺 RUSSIA	256	+0.03	-0.21	-0.18	▲1
98	I.Bareket	🇮🇱 ISRAEL	208	-0.27	+0.07	-0.20	▼30
99	A.Lengy	🇮🇱 ISRAEL	208	-0.27	+0.07	-0.20	▼30
100	U.Gupta	🇮🇳 INDIA	192	-0.09	-0.21	-0.30	▼5
101	N.Kirubakaramoorthy	🇮🇳 INDIA	192	-0.09	-0.21	-0.30	▼5
102	R.Amiry	🇪🇬 EGYPT	256	+0.24	-0.54	-0.30	▲16
103	A.Samir	🇪🇬 EGYPT	256	+0.24	-0.54	-0.30	▲16
104	K.Fong	🇸🇬 SINGAPORE	240	+0.09	-0.39	-0.31	▲2
105	Y.Zhang	🇸🇬 SINGAPORE	240	+0.09	-0.39	-0.31	▲2
106	P.Gill	🇦🇺 AUSTRALIA	272	+0.20	-0.51	-0.31	▲8
107	S.Hans	🇦🇺 AUSTRALIA	272	+0.20	-0.51	-0.31	▲8
108	J.Bojoh	🇮🇩 INDONESIA	240	-0.09	-0.27	-0.36	▼4
109	F.Karwur	🇮🇩 INDONESIA	240	-0.09	-0.27	-0.36	▼4
110	A.Pejacsevich	🇦🇷 ARGENTINA	272	+0.02	-0.42	-0.39	▼2
111	C.Pellegrini	🇦🇷 ARGENTINA	272	+0.02	-0.42	-0.39	▼2
112	T.Salah	🇪🇬 EGYPT	224	-0.17	-0.22	-0.40	▼12
113	A.Zein	🇪🇬 EGYPT	224	-0.17	-0.22	-0.40	▼12
114	P.Cazabon	🇨🇱 CHILE	160	+0.03	-0.43	-0.40	▼4
115	D.Ramirez	🇨🇱 CHILE	160	+0.03	-0.43	-0.40	▼4
116	M.Krasnosselski	🇷🇺 RUSSIA	240	+0.02	-0.49	-0.47	▼4
117	S.Orlov	🇷🇺 RUSSIA	240	+0.02	-0.49	-0.47	▼4
118	J.Lall	🇺🇸 USA 2	224	+0.07	-0.57	-0.50	▲2
119	B.Moss	🇺🇸 USA 2	224	+0.07	-0.57	-0.50	▲2
120	P.Mathieu	🇬🇵 GUADELOUPE	256	-0.04	-0.54	-0.58	▼4
121	L.Soudan	🇬🇵 GUADELOUPE	256	-0.04	-0.54	-0.58	▼4
122	S.Haque	🇧🇩 BANGLADESH	272	-0.00	-0.59	-0.59	·
123	B.Ramadan	🇪🇬 EGYPT	256	-0.04	-0.60	-0.64	·
124	A.Salah	🇪🇬 EGYPT	256	-0.04	-0.60	-0.64	·
125	M.Rahman	🇧🇩 BANGLADESH	304	+0.02	-0.68	-0.66	·
126	M.Chowdhury	🇧🇩 BANGLADESH	304	+0.01	-0.70	-0.69	·
127	D.Gerin	🇬🇵 GUADELOUPE	240	+0.20	-0.94	-0.74	▲5
128	J.Pelletier	🇬🇵 GUADELOUPE	240	+0.20	-0.94	-0.74	▲5
129	F.Tiscornia	🇦🇷 ARGENTINA	224	-0.04	-0.74	-0.78	▼2
130	M.Zonca	🇦🇷 ARGENTINA	224	-0.04	-0.74	-0.78	▼2
131	KAMRUZZAMAN A H M	🇧🇩 BANGLADESH	272	-0.00	-0.82	-0.82	▼2
132	C.Garnier	🇬🇵 GUADELOUPE	240	-0.03	-0.86	-0.89	▼2
133	A.Kempczynski	🇬🇵 GUADELOUPE	240	-0.03	-0.86	-0.89	▼2
134	P.Sibony	🇲🇦 MOROCCO	256	+0.14	-1.31	-1.17	▲2
135	J.Botbol	🇲🇦 MOROCCO	272	+0.13	-1.32	-1.19	▲3
136	F.Lahlou	🇲🇦 MOROCCO	224	+0.12	-1.32	-1.20	▲1
137	S.Dahan	🇲🇦 MOROCCO	240	+0.11	-1.33	-1.22	▲2
138	A.Belkouch	🇲🇦 MOROCCO	240	-0.03	-1.20	-1.23	▼4
139	M.Dinia	🇲🇦 MOROCCO	240	-0.03	-1.20	-1.23	▼4

Stages

Statistics