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	D.Gaviard	🇫🇷 FRANCE	240	+1.11	+266.0
2	J.Rombaut	🇫🇷 FRANCE	240	+1.11	+266.0
3	F.Brown	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	239	+1.01	+241.0
4	M.Byrne	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	239	+1.01	+241.0
5	C.Henner	🇺🇸 USA 1	208	+0.87	+180.0
6	U.Ivatury	🇺🇸 USA 1	208	+0.87	+180.0
7	M.Ionita	🇷🇴 ROMANIA	256	+0.84	+215.0
8	M.Stegaroiu	🇷🇴 ROMANIA	256	+0.84	+215.0
9	K.Janebunjong	🇹🇭 THAILAND	256	+0.82	+209.0
10	K.Plengsap	🇹🇭 THAILAND	256	+0.82	+209.0
11	D.Rosenberg	🇺🇸 USA 2	192	+0.81	+156.0
12	A.Rosenthal	🇺🇸 USA 2	192	+0.81	+156.0
13	C.Willenken	🇺🇸 USA 2	272	+0.80	+217.0
14	M.Zur-Campanile	🇺🇸 USA 2	272	+0.80	+217.0
15	J.Alfejeva	🇱🇻 LATVIA	368	+0.78	+287.0
16	K.Rubins	🇱🇻 LATVIA	368	+0.78	+287.0
17	Y.Lu	🇹🇼 CHINESE TAIPEI	160	+0.71	+113.0
18	H.Yang	🇹🇼 CHINESE TAIPEI	160	+0.71	+113.0
19	A.Gromov	🇷🇺 RUSSIA	272	+0.68	+186.0
20	A.Gulevich	🇷🇺 RUSSIA	272	+0.68	+186.0
21	T.Asbi	🇮🇩 INDONESIA	368	+0.61	+226.0
22	L.Bojoh	🇮🇩 INDONESIA	368	+0.61	+226.0
23	A.Gerasimov	🇷🇺 RUSSIA	208	+0.61	+127.0
24	O.Vorobeychikova	🇷🇺 RUSSIA	208	+0.61	+127.0
25	D.Attanasio	🇮🇹 ITALY	272	+0.58	+157.0
26	G.Manara	🇮🇹 ITALY	272	+0.58	+157.0
27	A.Stokka	🇸🇪 SWEDEN	256	+0.57	+147.0
28	Y.Strandberg	🇸🇪 SWEDEN	256	+0.57	+147.0
29	J.Hammelev	🇩🇰 DENMARK	271	+0.56	+152.0
30	C.Krefeld	🇩🇰 DENMARK	271	+0.56	+152.0
31	S.Wu	🇨🇳 CHINA	240	+0.52	+125.0
32	K.Fan	🇹🇼 CHINESE TAIPEI	320	+0.52	+165.0
33	P.Tsai	🇹🇼 CHINESE TAIPEI	320	+0.52	+165.0
34	S.Brock	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	224	+0.50	+111.0
35	B.Myers	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	224	+0.50	+111.0
36	I.Grzejdziak	🇵🇱 POLAND	256	+0.47	+121.0
37	S.Grzejdziak	🇵🇱 POLAND	256	+0.47	+121.0
38	R.Marks	🇵🇱 POLAND	304	+0.43	+132.0
39	D.Ogloblin	🇵🇱 POLAND	304	+0.43	+132.0
40	H.Caspersen	🇩🇰 DENMARK	208	+0.40	+83.0
41	S.Farholt	🇩🇰 DENMARK	208	+0.40	+83.0
42	H.Nogueira	🇧🇷 BRAZIL	240	+0.38	+91.0
43	M.Thoma	🇧🇷 BRAZIL	240	+0.38	+91.0
44	J.Chen	🇨🇳 CHINA	320	+0.38	+120.0
45	B.Cronier	🇫🇷 FRANCE	256	+0.34	+88.0
46	P.Cronier	🇫🇷 FRANCE	256	+0.34	+88.0
47	P.Wang	🇨🇳 CHINA	256	+0.31	+79.0
48	G.Mihai	🇷🇴 ROMANIA	256	+0.30	+76.0
49	R.Mihai	🇷🇴 ROMANIA	256	+0.30	+76.0
50	F.Hinden	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	272	+0.29	+78.0
51	G.Osborne	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	272	+0.29	+78.0
52	D.Elawady	🇪🇬 EGYPT	272	+0.26	+70.0
53	R.Cooper	🇦🇺 AUSTRALIA	240	+0.24	+57.0
54	B.Thompson	🇦🇺 AUSTRALIA	240	+0.24	+57.0
55	A.Graves	🇺🇸 USA 1	304	+0.22	+67.0
56	J.Meyers	🇺🇸 USA 1	304	+0.22	+67.0
57	C.Mcavoy	🇨🇦 CANADA	240	+0.18	+43.0
58	J.Mcavoy	🇨🇦 CANADA	240	+0.18	+43.0
59	A.Audiche	🇪🇬 EGYPT	240	+0.17	+42.0
60	B.Naidoo	🇮🇳 INDIA	224	+0.07	+16.0
61	P.Sinha	🇮🇳 INDIA	224	+0.07	+16.0
62	M.Balint	🇷🇴 ROMANIA	224	+0.06	+14.0
63	B.Marina	🇷🇴 ROMANIA	224	+0.06	+14.0
64	Z.Liao	🇨🇳 CHINA	240	+0.06	+14.0
65	Z.Xie	🇨🇳 CHINA	288	+0.05	+15.0
66	M.Chavarria	🇮🇹 ITALY	304	-0.00	-1.0
67	A.Gandoglia	🇮🇹 ITALY	304	-0.00	-1.0
68	H.Khandelwal	🇮🇳 INDIA	272	-0.01	-3.0
69	R.Khandelwal	🇮🇳 INDIA	272	-0.01	-3.0
70	D.Eriksson	🇸🇪 SWEDEN	224	-0.01	-3.0
71	M.Helin	🇸🇪 SWEDEN	224	-0.01	-3.0
72	G.Andersson	🇸🇪 SWEDEN	256	-0.02	-6.0
73	G.Strandberg	🇸🇪 SWEDEN	256	-0.02	-6.0
74	P.Cummins	🇧🇧 BARBADOS	368	-0.04	-13.0
75	D.Rotchell	🇧🇧 BARBADOS	224	-0.04	-9.0
76	C.Davies	🇳🇿 NEW ZEALAND	272	-0.07	-18.0
77	J.Patterson	🇳🇿 NEW ZEALAND	272	-0.07	-18.0
78	K.Limsinsopon	🇹🇭 THAILAND	256	-0.11	-29.0
79	P.Sitthicharoensawat	🇹🇭 THAILAND	256	-0.11	-29.0
80	J.Bethers	🇱🇻 LATVIA	368	-0.14	-52.0
81	M.Romanovska	🇱🇻 LATVIA	368	-0.14	-52.0
82	D.Sacul	🇮🇩 INDONESIA	336	-0.16	-54.0
83	C.Sumampouw	🇮🇩 INDONESIA	336	-0.16	-54.0
84	D.Fraser	🇨🇦 CANADA	240	-0.17	-40.0
85	S.Fraser	🇨🇦 CANADA	240	-0.17	-40.0
86	S.Garafulic	🇧🇷 BRAZIL	240	-0.18	-44.0
87	P.Ravenna	🇧🇷 BRAZIL	240	-0.18	-44.0
88	C.Bjerkan	🇺🇸 USA 1	224	-0.20	-44.0
89	H.Weinstein	🇺🇸 USA 1	224	-0.20	-44.0
90	N.Frey	🇫🇷 FRANCE	240	-0.22	-52.0
91	F.Volcker	🇫🇷 FRANCE	240	-0.22	-52.0
92	D.Beauchamp	🇦🇺 AUSTRALIA	256	-0.25	-65.0
93	J.Tutty	🇦🇺 AUSTRALIA	256	-0.25	-65.0
94	P.Uggeri	🇮🇹 ITALY	160	-0.26	-41.0
95	M.Vanuzzi	🇮🇹 ITALY	160	-0.26	-41.0
96	W.El Ahmady	🇪🇬 EGYPT	288	-0.29	-83.0
97	H.Bertens	🇺🇸 USA 2	272	-0.29	-79.0
98	J.Wolpert	🇺🇸 USA 2	272	-0.29	-79.0
99	D.Blackman	🇧🇧 BARBADOS	288	-0.38	-110.0
100	S.Fischer	🇦🇺 AUSTRALIA	240	-0.39	-93.0
101	P.Rankin	🇦🇺 AUSTRALIA	240	-0.39	-93.0
102	J.Wojcieszek	🇵🇱 POLAND	176	-0.39	-69.0
103	M.Wojcik	🇵🇱 POLAND	176	-0.39	-69.0
104	N.Bekkouche	🇩🇰 DENMARK	256	-0.39	-101.0
105	L.Blakset	🇩🇰 DENMARK	256	-0.39	-101.0
106	J.Campos	🇧🇷 BRAZIL	256	-0.44	-112.0
107	S.De Mello	🇧🇷 BRAZIL	256	-0.44	-112.0
108	A.Dubinin	🇷🇺 RUSSIA	256	-0.45	-114.0
109	T.Ponomareva	🇷🇺 RUSSIA	256	-0.45	-114.0
110	A.Henry	🇳🇿 NEW ZEALAND	240	-0.48	-115.0
111	S.Henry	🇳🇿 NEW ZEALAND	240	-0.48	-115.0
112	L.Chen	🇹🇼 CHINESE TAIPEI	256	-0.49	-126.0
113	H.So	🇹🇼 CHINESE TAIPEI	256	-0.49	-126.0
114	M.Bandesha	🇵🇰 PAKISTAN	176	-0.59	-104.0
115	F.Benkirane	🇲🇦 MOROCCO	256	-0.60	-154.0
116	E.Said	🇲🇦 MOROCCO	256	-0.60	-154.0
117	D.Hachem	🇪🇬 EGYPT	176	-0.68	-120.0
118	R.Foster	🇨🇦 CANADA	256	-0.72	-185.0
119	G.Mccully	🇨🇦 CANADA	256	-0.72	-185.0
120	A.Grant	🇳🇿 NEW ZEALAND	224	-0.74	-165.0
121	A.Lennon	🇳🇿 NEW ZEALAND	224	-0.74	-165.0
122	C.Audiche	🇪🇬 EGYPT	288	-0.81	-232.0
123	S.Basu	🇮🇳 INDIA	240	-0.82	-198.0
124	B.Dey	🇮🇳 INDIA	240	-0.82	-198.0
125	H.Iraqi	🇲🇦 MOROCCO	240	-0.90	-215.0
126	M.Kacimi	🇲🇦 MOROCCO	240	-0.90	-215.0
127	R.Saigol	🇵🇰 PAKISTAN	368	-0.95	-351.0
128	T.Chodchoy	🇹🇭 THAILAND	224	-0.98	-220.0
129	T.Jitngamkusol	🇹🇭 THAILAND	224	-0.98	-220.0
130	R.Hinds	🇧🇧 BARBADOS	368	-1.06	-389.0
131	S.Shah	🇵🇰 PAKISTAN	336	-1.06	-356.0
132	F.Sarfraz	🇵🇰 PAKISTAN	368	-1.10	-403.0
133	K.Salama	🇪🇬 EGYPT	208	-1.16	-241.0
134	N.Rechtman	🇧🇧 BARBADOS	224	-1.26	-283.0
135	S.Malik	🇵🇰 PAKISTAN	224	-1.31	-294.0
136	A.El Awad	🇲🇦 MOROCCO	240	-1.41	-339.0
137	L.Lamrani	🇲🇦 MOROCCO	240	-1.41	-339.0
138	H.Wu	🇨🇳 CHINA	128	+0.65	+83.0
139	E.Sefita	🇮🇩 INDONESIA	32	-2.00	-64.0
140	A.Soebroto	🇮🇩 INDONESIA	32	-2.00	-64.0

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	S.Henry	🇳🇿 NEW ZEALAND	55	89.1%	0.16
2	A.Gerasimov	🇷🇺 RUSSIA	44	88.6%	0.14
3	B.Naidoo	🇮🇳 INDIA	58	87.9%	0.14
4	O.Vorobeychikova	🇷🇺 RUSSIA	63	87.3%	0.14
5	M.Wojcik	🇵🇱 POLAND	47	87.2%	0.17
6	D.Rotchell	🇧🇧 BARBADOS	39	87.2%	0.18
7	P.Wang	🇨🇳 CHINA	68	86.8%	0.15
8	G.Mihai	🇷🇴 ROMANIA	59	86.4%	0.19
9	A.Stokka	🇸🇪 SWEDEN	59	86.4%	0.19
10	D.Rosenberg	🇺🇸 USA 2	43	86.0%	0.14
11	S.Brock	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	50	86.0%	0.20
12	M.Thoma	🇧🇷 BRAZIL	53	84.9%	0.19
13	U.Ivatury	🇺🇸 USA 1	46	84.8%	0.17
14	R.Khandelwal	🇮🇳 INDIA	58	84.5%	0.17
15	A.Henry	🇳🇿 NEW ZEALAND	57	84.2%	0.16
16	M.Zur-Campanile	🇺🇸 USA 2	69	84.1%	0.19
17	S.Malik	🇵🇰 PAKISTAN	56	83.9%	0.18
18	J.Hammelev	🇩🇰 DENMARK	72	83.3%	0.18
19	P.Cronier	🇫🇷 FRANCE	60	83.3%	0.18
20	P.Tsai	🇹🇼 CHINESE TAIPEI	72	83.3%	0.19
21	C.Willenken	🇺🇸 USA 2	72	83.3%	0.21
22	D.Fraser	🇨🇦 CANADA	53	83.0%	0.19
23	F.Brown	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	63	82.5%	0.19
24	M.Vanuzzi	🇮🇹 ITALY	34	82.4%	0.18
25	W.El Ahmady	🇪🇬 EGYPT	51	82.4%	0.22
26	F.Benkirane	🇲🇦 MOROCCO	67	82.1%	0.21
27	F.Volcker	🇫🇷 FRANCE	61	82.0%	0.23
28	R.Marks	🇵🇱 POLAND	76	81.6%	0.22
29	M.Bandesha	🇵🇰 PAKISTAN	49	81.6%	0.27
30	F.Sarfraz	🇵🇰 PAKISTAN	92	81.5%	0.20
31	C.Bjerkan	🇺🇸 USA 1	59	81.4%	0.19
32	H.Yang	🇹🇼 CHINESE TAIPEI	37	81.1%	0.22
33	J.Alfejeva	🇱🇻 LATVIA	90	81.1%	0.26
34	P.Ravenna	🇧🇷 BRAZIL	47	80.9%	0.21
35	A.Rosenthal	🇺🇸 USA 2	57	80.7%	0.23
36	M.Ionita	🇷🇴 ROMANIA	31	80.6%	0.26
37	K.Fan	🇹🇼 CHINESE TAIPEI	82	80.5%	0.22
38	J.Tutty	🇦🇺 AUSTRALIA	56	80.4%	0.21
39	S.Fraser	🇨🇦 CANADA	56	80.4%	0.21
40	J.Rombaut	🇫🇷 FRANCE	56	80.4%	0.23
41	J.Bethers	🇱🇻 LATVIA	101	80.2%	0.23
42	B.Myers	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	55	80.0%	0.20
43	R.Mihai	🇷🇴 ROMANIA	70	80.0%	0.21
44	Y.Strandberg	🇸🇪 SWEDEN	70	80.0%	0.23
45	D.Gaviard	🇫🇷 FRANCE	65	80.0%	0.26
46	D.Ogloblin	🇵🇱 POLAND	84	79.8%	0.29
47	D.Attanasio	🇮🇹 ITALY	69	79.7%	0.22
48	A.El Awad	🇲🇦 MOROCCO	59	79.7%	0.22
49	S.Wu	🇨🇳 CHINA	74	79.7%	0.23
50	H.Nogueira	🇧🇷 BRAZIL	64	79.7%	0.23
51	A.Grant	🇳🇿 NEW ZEALAND	59	79.7%	0.25
52	I.Grzejdziak	🇵🇱 POLAND	73	79.5%	0.20
53	P.Uggeri	🇮🇹 ITALY	39	79.5%	0.28
54	Z.Liao	🇨🇳 CHINA	58	79.3%	0.22
55	M.Romanovska	🇱🇻 LATVIA	87	79.3%	0.23
56	A.Audiche	🇪🇬 EGYPT	29	79.3%	0.24
57	B.Cronier	🇫🇷 FRANCE	58	79.3%	0.28
58	L.Bojoh	🇮🇩 INDONESIA	91	79.1%	0.23
59	M.Kacimi	🇲🇦 MOROCCO	67	79.1%	0.31
60	C.Davies	🇳🇿 NEW ZEALAND	62	79.0%	0.24
61	R.Saigol	🇵🇰 PAKISTAN	100	79.0%	0.29
62	G.Mccully	🇨🇦 CANADA	76	78.9%	0.22
63	P.Sitthicharoensawat	🇹🇭 THAILAND	57	78.9%	0.26
64	K.Limsinsopon	🇹🇭 THAILAND	66	78.8%	0.21
65	H.Caspersen	🇩🇰 DENMARK	56	78.6%	0.23
66	D.Elawady	🇪🇬 EGYPT	98	78.6%	0.26
67	C.Krefeld	🇩🇰 DENMARK	65	78.5%	0.23
68	P.Cummins	🇧🇧 BARBADOS	106	78.3%	0.23
69	L.Lamrani	🇲🇦 MOROCCO	60	78.3%	0.23
70	T.Jitngamkusol	🇹🇭 THAILAND	46	78.3%	0.24
71	N.Rechtman	🇧🇧 BARBADOS	68	77.9%	0.23
72	M.Byrne	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	63	77.8%	0.24
73	K.Janebunjong	🇹🇭 THAILAND	72	77.8%	0.28
74	H.Khandelwal	🇮🇳 INDIA	84	77.4%	0.25
75	H.Weinstein	🇺🇸 USA 1	66	77.3%	0.24
76	S.Fischer	🇦🇺 AUSTRALIA	66	77.3%	0.27
77	K.Rubins	🇱🇻 LATVIA	83	77.1%	0.27
78	J.Meyers	🇺🇸 USA 1	61	77.0%	0.25
79	R.Cooper	🇦🇺 AUSTRALIA	61	77.0%	0.25
80	N.Bekkouche	🇩🇰 DENMARK	61	77.0%	0.26
81	R.Foster	🇨🇦 CANADA	65	76.9%	0.23
82	S.Farholt	🇩🇰 DENMARK	56	76.8%	0.23
83	A.Gromov	🇷🇺 RUSSIA	60	76.7%	0.25
84	T.Ponomareva	🇷🇺 RUSSIA	73	76.7%	0.29
85	A.Dubinin	🇷🇺 RUSSIA	47	76.6%	0.23
86	G.Strandberg	🇸🇪 SWEDEN	55	76.4%	0.27
87	A.Lennon	🇳🇿 NEW ZEALAND	54	75.9%	0.26
88	J.Mcavoy	🇨🇦 CANADA	62	75.8%	0.26
89	T.Chodchoy	🇹🇭 THAILAND	53	75.5%	0.30
90	S.Grzejdziak	🇵🇱 POLAND	61	75.4%	0.29
91	C.Mcavoy	🇨🇦 CANADA	73	75.3%	0.27
92	M.Chavarria	🇮🇹 ITALY	81	75.3%	0.28
93	D.Beauchamp	🇦🇺 AUSTRALIA	73	75.3%	0.33
94	S.Basu	🇮🇳 INDIA	68	75.0%	0.28
95	J.Patterson	🇳🇿 NEW ZEALAND	68	75.0%	0.29
96	P.Rankin	🇦🇺 AUSTRALIA	64	75.0%	0.30
97	L.Blakset	🇩🇰 DENMARK	56	75.0%	0.32
98	G.Osborne	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	72	75.0%	0.35
99	S.Garafulic	🇧🇷 BRAZIL	75	74.7%	0.29
100	B.Marina	🇷🇴 ROMANIA	59	74.6%	0.27
101	F.Hinden	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	58	74.1%	0.28
102	T.Asbi	🇮🇩 INDONESIA	100	74.0%	0.29
103	G.Manara	🇮🇹 ITALY	77	74.0%	0.31
104	J.Campos	🇧🇷 BRAZIL	69	73.9%	0.26
105	A.Gulevich	🇷🇺 RUSSIA	69	73.9%	0.30
106	M.Stegaroiu	🇷🇴 ROMANIA	101	73.3%	0.35
107	Z.Xie	🇨🇳 CHINA	56	73.2%	0.30
108	K.Salama	🇪🇬 EGYPT	52	73.1%	0.29
109	A.Gandoglia	🇮🇹 ITALY	78	73.1%	0.31
110	J.Wojcieszek	🇵🇱 POLAND	37	73.0%	0.30
111	K.Plengsap	🇹🇭 THAILAND	70	72.9%	0.30
112	E.Said	🇲🇦 MOROCCO	55	72.7%	0.31
113	H.Bertens	🇺🇸 USA 2	73	72.6%	0.37
114	J.Wolpert	🇺🇸 USA 2	58	72.4%	0.29
115	D.Sacul	🇮🇩 INDONESIA	76	72.4%	0.30
116	H.So	🇹🇼 CHINESE TAIPEI	61	72.1%	0.31
117	D.Blackman	🇧🇧 BARBADOS	61	72.1%	0.31
118	B.Dey	🇮🇳 INDIA	53	71.7%	0.34
119	S.Shah	🇵🇰 PAKISTAN	95	71.6%	0.33
120	P.Sinha	🇮🇳 INDIA	59	71.2%	0.37
121	C.Sumampouw	🇮🇩 INDONESIA	101	70.3%	0.38
122	M.Balint	🇷🇴 ROMANIA	47	70.2%	0.36
123	J.Chen	🇨🇳 CHINA	77	70.1%	0.33
124	G.Andersson	🇸🇪 SWEDEN	69	69.6%	0.36
125	H.Iraqi	🇲🇦 MOROCCO	55	69.1%	0.34
126	Y.Lu	🇹🇼 CHINESE TAIPEI	44	68.2%	0.32
127	D.Eriksson	🇸🇪 SWEDEN	50	68.0%	0.32
128	A.Graves	🇺🇸 USA 1	75	68.0%	0.39
129	D.Hachem	🇪🇬 EGYPT	61	67.2%	0.36
130	C.Henner	🇺🇸 USA 1	60	66.7%	0.37
131	S.De Mello	🇧🇷 BRAZIL	60	66.7%	0.40
132	M.Helin	🇸🇪 SWEDEN	57	66.7%	0.40
133	N.Frey	🇫🇷 FRANCE	50	66.0%	0.40
134	R.Hinds	🇧🇧 BARBADOS	88	65.9%	0.36
135	B.Thompson	🇦🇺 AUSTRALIA	45	64.4%	0.42
136	C.Audiche	🇪🇬 EGYPT	65	63.1%	0.40
137	L.Chen	🇹🇼 CHINESE TAIPEI	53	62.3%	0.43
138	A.Soebroto	🇮🇩 INDONESIA	6	83.3%	0.17
139	E.Sefita	🇮🇩 INDONESIA	10	80.0%	0.50
140	H.Wu	🇨🇳 CHINA	36	69.4%	0.36

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	H.Bertens	🇺🇸 USA 2	79	86.1%	0.17
2	J.Rombaut	🇫🇷 FRANCE	64	85.9%	0.16
3	N.Bekkouche	🇩🇰 DENMARK	54	85.2%	0.18
4	A.Gulevich	🇷🇺 RUSSIA	77	84.4%	0.17
5	K.Plengsap	🇹🇭 THAILAND	63	84.1%	0.16
6	H.Weinstein	🇺🇸 USA 1	55	83.6%	0.24
7	B.Thompson	🇦🇺 AUSTRALIA	65	83.1%	0.31
8	D.Eriksson	🇸🇪 SWEDEN	63	82.5%	0.21
9	M.Romanovska	🇱🇻 LATVIA	103	82.5%	0.21
10	T.Ponomareva	🇷🇺 RUSSIA	80	82.5%	0.24
11	M.Byrne	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	51	82.4%	0.18
12	R.Cooper	🇦🇺 AUSTRALIA	68	82.4%	0.23
13	A.Dubinin	🇷🇺 RUSSIA	55	81.8%	0.18
14	C.Davies	🇳🇿 NEW ZEALAND	66	81.8%	0.23
15	K.Rubins	🇱🇻 LATVIA	96	81.2%	0.23
16	H.Nogueira	🇧🇷 BRAZIL	64	81.2%	0.27
17	P.Cronier	🇫🇷 FRANCE	74	81.1%	0.20
18	J.Campos	🇧🇷 BRAZIL	79	81.0%	0.25
19	P.Wang	🇨🇳 CHINA	72	80.6%	0.22
20	R.Khandelwal	🇮🇳 INDIA	72	80.6%	0.25
21	C.Willenken	🇺🇸 USA 2	61	80.3%	0.20
22	G.Andersson	🇸🇪 SWEDEN	71	80.3%	0.21
23	D.Sacul	🇮🇩 INDONESIA	65	80.0%	0.20
24	Y.Lu	🇹🇼 CHINESE TAIPEI	50	80.0%	0.22
25	G.Mihai	🇷🇴 ROMANIA	60	80.0%	0.28
26	B.Cronier	🇫🇷 FRANCE	64	79.7%	0.28
27	A.Gromov	🇷🇺 RUSSIA	64	79.7%	0.30
28	M.Balint	🇷🇴 ROMANIA	73	79.5%	0.25
29	H.Caspersen	🇩🇰 DENMARK	48	79.2%	0.23
30	A.Gandoglia	🇮🇹 ITALY	72	79.2%	0.26
31	D.Fraser	🇨🇦 CANADA	67	79.1%	0.25
32	T.Asbi	🇮🇩 INDONESIA	95	78.9%	0.23
33	M.Bandesha	🇵🇰 PAKISTAN	33	78.8%	0.24
34	D.Elawady	🇪🇬 EGYPT	33	78.8%	0.27
35	T.Jitngamkusol	🇹🇭 THAILAND	66	78.8%	0.35
36	D.Hachem	🇪🇬 EGYPT	33	78.8%	0.42
37	N.Frey	🇫🇷 FRANCE	61	78.7%	0.25
38	I.Grzejdziak	🇵🇱 POLAND	61	78.7%	0.29
39	L.Chen	🇹🇼 CHINESE TAIPEI	64	78.1%	0.27
40	M.Wojcik	🇵🇱 POLAND	41	78.0%	0.27
41	S.Fischer	🇦🇺 AUSTRALIA	63	77.8%	0.24
42	M.Helin	🇸🇪 SWEDEN	54	77.8%	0.33
43	D.Attanasio	🇮🇹 ITALY	71	77.5%	0.25
44	R.Marks	🇵🇱 POLAND	71	77.5%	0.27
45	B.Myers	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	53	77.4%	0.26
46	C.Sumampouw	🇮🇩 INDONESIA	93	77.4%	0.30
47	J.Alfejeva	🇱🇻 LATVIA	99	76.8%	0.26
48	A.Graves	🇺🇸 USA 1	82	76.8%	0.28
49	A.Stokka	🇸🇪 SWEDEN	69	76.8%	0.32
50	S.Basu	🇮🇳 INDIA	60	76.7%	0.28
51	G.Osborne	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	73	76.7%	0.29
52	M.Chavarria	🇮🇹 ITALY	72	76.4%	0.28
53	O.Vorobeychikova	🇷🇺 RUSSIA	46	76.1%	0.30
54	S.Malik	🇵🇰 PAKISTAN	71	76.1%	0.31
55	M.Thoma	🇧🇷 BRAZIL	58	75.9%	0.26
56	C.Krefeld	🇩🇰 DENMARK	69	75.4%	0.28
57	K.Limsinsopon	🇹🇭 THAILAND	69	75.4%	0.29
58	F.Brown	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	61	75.4%	0.29
59	L.Blakset	🇩🇰 DENMARK	85	75.3%	0.26
60	M.Ionita	🇷🇴 ROMANIA	85	75.3%	0.29
61	D.Rosenberg	🇺🇸 USA 2	48	75.0%	0.29
62	A.Rosenthal	🇺🇸 USA 2	44	75.0%	0.32
63	W.El Ahmady	🇪🇬 EGYPT	88	75.0%	0.34
64	S.Wu	🇨🇳 CHINA	63	74.6%	0.29
65	F.Volcker	🇫🇷 FRANCE	67	74.6%	0.30
66	R.Mihai	🇷🇴 ROMANIA	67	74.6%	0.34
67	P.Ravenna	🇧🇷 BRAZIL	62	74.2%	0.27
68	D.Ogloblin	🇵🇱 POLAND	73	74.0%	0.33
69	L.Bojoh	🇮🇩 INDONESIA	80	73.8%	0.31
70	M.Kacimi	🇲🇦 MOROCCO	65	73.8%	0.32
71	J.Chen	🇨🇳 CHINA	72	73.6%	0.29
72	Z.Xie	🇨🇳 CHINA	78	73.1%	0.29
73	Z.Liao	🇨🇳 CHINA	63	73.0%	0.32
74	M.Vanuzzi	🇮🇹 ITALY	37	73.0%	0.43
75	C.Henner	🇺🇸 USA 1	48	72.9%	0.31
76	J.Meyers	🇺🇸 USA 1	85	72.9%	0.32
77	J.Mcavoy	🇨🇦 CANADA	55	72.7%	0.38
78	P.Sinha	🇮🇳 INDIA	62	72.6%	0.35
79	F.Hinden	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	69	72.5%	0.32
80	P.Rankin	🇦🇺 AUSTRALIA	47	72.3%	0.38
81	U.Ivatury	🇺🇸 USA 1	54	72.2%	0.35
82	G.Manara	🇮🇹 ITALY	54	72.2%	0.37
83	R.Hinds	🇧🇧 BARBADOS	93	72.0%	0.38
84	J.Bethers	🇱🇻 LATVIA	75	72.0%	0.39
85	H.Khandelwal	🇮🇳 INDIA	57	71.9%	0.32
86	M.Stegaroiu	🇷🇴 ROMANIA	39	71.8%	0.33
87	P.Uggeri	🇮🇹 ITALY	49	71.4%	0.33
88	P.Tsai	🇹🇼 CHINESE TAIPEI	84	71.4%	0.37
89	K.Salama	🇪🇬 EGYPT	52	71.2%	0.42
90	G.Mccully	🇨🇦 CANADA	62	71.0%	0.31
91	A.Grant	🇳🇿 NEW ZEALAND	55	70.9%	0.38
92	T.Chodchoy	🇹🇭 THAILAND	58	70.7%	0.34
93	K.Fan	🇹🇼 CHINESE TAIPEI	82	70.7%	0.35
94	P.Cummins	🇧🇧 BARBADOS	109	70.6%	0.39
95	J.Wolpert	🇺🇸 USA 2	61	70.5%	0.44
96	J.Hammelev	🇩🇰 DENMARK	64	70.3%	0.34
97	A.Henry	🇳🇿 NEW ZEALAND	64	70.3%	0.42
98	Y.Strandberg	🇸🇪 SWEDEN	57	70.2%	0.37
99	S.Grzejdziak	🇵🇱 POLAND	60	70.0%	0.40
100	J.Wojcieszek	🇵🇱 POLAND	50	70.0%	0.50
101	D.Gaviard	🇫🇷 FRANCE	53	69.8%	0.36
102	S.Fraser	🇨🇦 CANADA	63	69.8%	0.38
103	J.Patterson	🇳🇿 NEW ZEALAND	76	69.7%	0.38
104	B.Marina	🇷🇴 ROMANIA	45	68.9%	0.33
105	S.De Mello	🇧🇷 BRAZIL	48	68.8%	0.35
106	H.So	🇹🇼 CHINESE TAIPEI	77	68.8%	0.38
107	S.Farholt	🇩🇰 DENMARK	48	68.8%	0.46
108	K.Janebunjong	🇹🇭 THAILAND	51	68.6%	0.35
109	C.Bjerkan	🇺🇸 USA 1	44	68.2%	0.43
110	S.Brock	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	66	68.2%	0.48
111	F.Benkirane	🇲🇦 MOROCCO	64	67.2%	0.44
112	P.Sitthicharoensawat	🇹🇭 THAILAND	64	67.2%	0.47
113	D.Blackman	🇧🇧 BARBADOS	61	67.2%	0.47
114	B.Naidoo	🇮🇳 INDIA	45	66.7%	0.42
115	M.Zur-Campanile	🇺🇸 USA 2	69	66.7%	0.46
116	G.Strandberg	🇸🇪 SWEDEN	59	66.1%	0.47
117	S.Garafulic	🇧🇷 BRAZIL	56	66.1%	0.50
118	H.Yang	🇹🇼 CHINESE TAIPEI	29	65.5%	0.41
119	J.Tutty	🇦🇺 AUSTRALIA	51	64.7%	0.53
120	D.Beauchamp	🇦🇺 AUSTRALIA	76	64.5%	0.47
121	L.Lamrani	🇲🇦 MOROCCO	53	64.2%	0.43
122	A.Gerasimov	🇷🇺 RUSSIA	55	63.6%	0.42
123	F.Sarfraz	🇵🇰 PAKISTAN	64	62.5%	0.50
124	E.Said	🇲🇦 MOROCCO	69	62.3%	0.49
125	C.Mcavoy	🇨🇦 CANADA	50	62.0%	0.52
126	R.Saigol	🇵🇰 PAKISTAN	78	61.5%	0.53
127	A.Audiche	🇪🇬 EGYPT	91	61.5%	0.53
128	A.El Awad	🇲🇦 MOROCCO	67	61.2%	0.54
129	D.Rotchell	🇧🇧 BARBADOS	54	61.1%	0.50
130	A.Lennon	🇳🇿 NEW ZEALAND	54	61.1%	0.50
131	N.Rechtman	🇧🇧 BARBADOS	56	60.7%	0.46
132	S.Shah	🇵🇰 PAKISTAN	94	59.6%	0.58
133	C.Audiche	🇪🇬 EGYPT	81	59.3%	0.44
134	R.Foster	🇨🇦 CANADA	51	58.8%	0.45
135	S.Henry	🇳🇿 NEW ZEALAND	64	56.2%	0.50
136	B.Dey	🇮🇳 INDIA	57	56.1%	0.58
137	H.Iraqi	🇲🇦 MOROCCO	53	54.7%	0.70
138	E.Sefita	🇮🇩 INDONESIA	8	75.0%	0.38
139	H.Wu	🇨🇳 CHINA	18	66.7%	0.50
140	A.Soebroto	🇮🇩 INDONESIA	8	62.5%	0.50

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	A.Gerasimov	🇷🇺 RUSSIA	107	93.5%	0.07
2	O.Vorobeychikova	🇷🇺 RUSSIA	107	93.5%	0.07
3	J.Chen	🇨🇳 CHINA	159	93.1%	0.07
4	P.Wang	🇨🇳 CHINA	129	92.2%	0.09
5	D.Gaviard	🇫🇷 FRANCE	121	91.7%	0.11
6	J.Rombaut	🇫🇷 FRANCE	121	91.7%	0.11
7	B.Cronier	🇫🇷 FRANCE	118	91.5%	0.09
8	P.Cronier	🇫🇷 FRANCE	118	91.5%	0.09
9	M.Balint	🇷🇴 ROMANIA	106	90.6%	0.15
10	B.Marina	🇷🇴 ROMANIA	106	90.6%	0.15
11	A.Graves	🇺🇸 USA 1	136	90.4%	0.12
12	J.Meyers	🇺🇸 USA 1	136	90.4%	0.12
13	D.Attanasio	🇮🇹 ITALY	146	89.7%	0.15
14	G.Manara	🇮🇹 ITALY	146	89.7%	0.15
15	S.Wu	🇨🇳 CHINA	135	89.6%	0.14
16	L.Chen	🇹🇼 CHINESE TAIPEI	114	89.5%	0.12
17	H.So	🇹🇼 CHINESE TAIPEI	114	89.5%	0.12
18	F.Hinden	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	130	89.2%	0.18
19	G.Osborne	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	130	89.2%	0.18
20	P.Uggeri	🇮🇹 ITALY	73	89.0%	0.14
21	M.Vanuzzi	🇮🇹 ITALY	73	89.0%	0.14
22	D.Rosenberg	🇺🇸 USA 2	100	89.0%	0.18
23	A.Rosenthal	🇺🇸 USA 2	100	89.0%	0.18
24	C.Henner	🇺🇸 USA 1	106	88.7%	0.12
25	U.Ivatury	🇺🇸 USA 1	106	88.7%	0.12
26	S.Brock	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	105	88.6%	0.11
27	B.Myers	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	105	88.6%	0.11
28	M.Ionita	🇷🇴 ROMANIA	132	88.6%	0.12
29	M.Stegaroiu	🇷🇴 ROMANIA	132	88.6%	0.12
30	H.Bertens	🇺🇸 USA 2	131	88.5%	0.12
31	J.Wolpert	🇺🇸 USA 2	131	88.5%	0.12
32	A.Stokka	🇸🇪 SWEDEN	129	88.4%	0.13
33	Y.Strandberg	🇸🇪 SWEDEN	129	88.4%	0.13
34	Z.Xie	🇨🇳 CHINA	129	88.4%	0.14
35	N.Frey	🇫🇷 FRANCE	111	88.3%	0.14
36	F.Volcker	🇫🇷 FRANCE	111	88.3%	0.14
37	I.Grzejdziak	🇵🇱 POLAND	134	88.1%	0.13
38	S.Grzejdziak	🇵🇱 POLAND	134	88.1%	0.13
39	T.Asbi	🇮🇩 INDONESIA	191	88.0%	0.16
40	L.Bojoh	🇮🇩 INDONESIA	191	88.0%	0.16
41	J.Alfejeva	🇱🇻 LATVIA	173	87.9%	0.13
42	K.Rubins	🇱🇻 LATVIA	173	87.9%	0.13
43	K.Limsinsopon	🇹🇭 THAILAND	123	87.8%	0.12
44	P.Sitthicharoensawat	🇹🇭 THAILAND	123	87.8%	0.12
45	Y.Lu	🇹🇼 CHINESE TAIPEI	81	87.7%	0.14
46	H.Yang	🇹🇼 CHINESE TAIPEI	81	87.7%	0.14
47	K.Fan	🇹🇼 CHINESE TAIPEI	154	87.7%	0.15
48	P.Tsai	🇹🇼 CHINESE TAIPEI	154	87.7%	0.15
49	H.Caspersen	🇩🇰 DENMARK	112	87.5%	0.14
50	S.Farholt	🇩🇰 DENMARK	112	87.5%	0.14
51	C.Mcavoy	🇨🇦 CANADA	135	87.4%	0.16
52	J.Mcavoy	🇨🇦 CANADA	135	87.4%	0.16
53	D.Fraser	🇨🇦 CANADA	109	87.2%	0.15
54	S.Fraser	🇨🇦 CANADA	109	87.2%	0.15
55	D.Eriksson	🇸🇪 SWEDEN	107	86.9%	0.14
56	M.Helin	🇸🇪 SWEDEN	107	86.9%	0.14
57	J.Hammelev	🇩🇰 DENMARK	137	86.9%	0.15
58	C.Krefeld	🇩🇰 DENMARK	137	86.9%	0.15
59	A.Gromov	🇷🇺 RUSSIA	129	86.8%	0.14
60	A.Gulevich	🇷🇺 RUSSIA	129	86.8%	0.14
61	Z.Liao	🇨🇳 CHINA	105	86.7%	0.16
62	K.Janebunjong	🇹🇭 THAILAND	142	86.6%	0.15
63	K.Plengsap	🇹🇭 THAILAND	142	86.6%	0.15
64	D.Rotchell	🇧🇧 BARBADOS	97	86.6%	0.19
65	F.Brown	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	126	86.5%	0.15
66	M.Byrne	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	126	86.5%	0.15
67	C.Bjerkan	🇺🇸 USA 1	125	86.4%	0.15
68	H.Weinstein	🇺🇸 USA 1	125	86.4%	0.15
69	N.Bekkouche	🇩🇰 DENMARK	117	86.3%	0.14
70	L.Blakset	🇩🇰 DENMARK	117	86.3%	0.14
71	S.Garafulic	🇧🇷 BRAZIL	122	86.1%	0.18
72	P.Ravenna	🇧🇷 BRAZIL	122	86.1%	0.18
73	J.Campos	🇧🇷 BRAZIL	129	86.0%	0.18
74	S.De Mello	🇧🇷 BRAZIL	129	86.0%	0.18
75	H.Khandelwal	🇮🇳 INDIA	142	85.9%	0.14
76	R.Khandelwal	🇮🇳 INDIA	142	85.9%	0.14
77	P.Cummins	🇧🇧 BARBADOS	177	85.9%	0.17
78	C.Willenken	🇺🇸 USA 2	141	85.8%	0.15
79	M.Zur-Campanile	🇺🇸 USA 2	141	85.8%	0.15
80	M.Chavarria	🇮🇹 ITALY	159	85.5%	0.19
81	A.Gandoglia	🇮🇹 ITALY	159	85.5%	0.19
82	D.Hachem	🇪🇬 EGYPT	83	85.5%	0.20
83	R.Cooper	🇦🇺 AUSTRALIA	106	84.9%	0.16
84	B.Thompson	🇦🇺 AUSTRALIA	106	84.9%	0.16
85	J.Bethers	🇱🇻 LATVIA	188	84.6%	0.18
86	M.Romanovska	🇱🇻 LATVIA	188	84.6%	0.18
87	B.Naidoo	🇮🇳 INDIA	117	84.6%	0.20
88	P.Sinha	🇮🇳 INDIA	117	84.6%	0.20
89	H.Nogueira	🇧🇷 BRAZIL	117	84.6%	0.24
90	M.Thoma	🇧🇷 BRAZIL	117	84.6%	0.24
91	D.Beauchamp	🇦🇺 AUSTRALIA	129	84.5%	0.21
92	J.Tutty	🇦🇺 AUSTRALIA	129	84.5%	0.21
93	A.Henry	🇳🇿 NEW ZEALAND	112	83.9%	0.20
94	S.Henry	🇳🇿 NEW ZEALAND	112	83.9%	0.20
95	C.Davies	🇳🇿 NEW ZEALAND	130	83.8%	0.18
96	J.Patterson	🇳🇿 NEW ZEALAND	130	83.8%	0.18
97	G.Mihai	🇷🇴 ROMANIA	129	83.7%	0.16
98	R.Mihai	🇷🇴 ROMANIA	129	83.7%	0.16
99	D.Sacul	🇮🇩 INDONESIA	177	83.6%	0.17
100	C.Sumampouw	🇮🇩 INDONESIA	177	83.6%	0.17
101	R.Marks	🇵🇱 POLAND	160	83.1%	0.19
102	D.Ogloblin	🇵🇱 POLAND	160	83.1%	0.19
103	S.Fischer	🇦🇺 AUSTRALIA	130	83.1%	0.22
104	P.Rankin	🇦🇺 AUSTRALIA	130	83.1%	0.22
105	D.Blackman	🇧🇧 BARBADOS	149	82.6%	0.21
106	W.El Ahmady	🇪🇬 EGYPT	137	82.5%	0.19
107	N.Rechtman	🇧🇧 BARBADOS	116	81.9%	0.23
108	S.Basu	🇮🇳 INDIA	121	81.8%	0.23
109	B.Dey	🇮🇳 INDIA	121	81.8%	0.23
110	K.Salama	🇪🇬 EGYPT	97	81.4%	0.24
111	R.Hinds	🇧🇧 BARBADOS	185	81.1%	0.25
112	F.Benkirane	🇲🇦 MOROCCO	122	81.1%	0.25
113	E.Said	🇲🇦 MOROCCO	122	81.1%	0.25
114	H.Iraqi	🇲🇦 MOROCCO	122	81.1%	0.25
115	M.Kacimi	🇲🇦 MOROCCO	122	81.1%	0.25
116	A.Dubinin	🇷🇺 RUSSIA	120	80.8%	0.21
117	T.Ponomareva	🇷🇺 RUSSIA	120	80.8%	0.21
118	A.Grant	🇳🇿 NEW ZEALAND	113	80.5%	0.21
119	A.Lennon	🇳🇿 NEW ZEALAND	113	80.5%	0.21
120	D.Elawady	🇪🇬 EGYPT	136	80.1%	0.23
121	J.Wojcieszek	🇵🇱 POLAND	84	79.8%	0.21
122	M.Wojcik	🇵🇱 POLAND	84	79.8%	0.21
123	C.Audiche	🇪🇬 EGYPT	137	79.6%	0.22
124	A.Audiche	🇪🇬 EGYPT	122	79.5%	0.24
125	G.Andersson	🇸🇪 SWEDEN	124	79.0%	0.26
126	G.Strandberg	🇸🇪 SWEDEN	124	79.0%	0.26
127	S.Shah	🇵🇰 PAKISTAN	183	78.1%	0.29
128	T.Chodchoy	🇹🇭 THAILAND	99	77.8%	0.28
129	T.Jitngamkusol	🇹🇭 THAILAND	99	77.8%	0.28
130	A.El Awad	🇲🇦 MOROCCO	119	76.5%	0.33
131	L.Lamrani	🇲🇦 MOROCCO	119	76.5%	0.33
132	F.Sarfraz	🇵🇰 PAKISTAN	199	76.4%	0.32
133	R.Saigol	🇵🇰 PAKISTAN	193	76.2%	0.32
134	S.Malik	🇵🇰 PAKISTAN	111	74.8%	0.34
135	M.Bandesha	🇵🇰 PAKISTAN	98	74.5%	0.35
136	R.Foster	🇨🇦 CANADA	141	72.3%	0.34
137	G.Mccully	🇨🇦 CANADA	141	72.3%	0.34
138	H.Wu	🇨🇳 CHINA	81	85.2%	0.21
139	E.Sefita	🇮🇩 INDONESIA	16	81.2%	0.25
140	A.Soebroto	🇮🇩 INDONESIA	16	81.2%	0.25

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	A.Gromov	🇷🇺 RUSSIA	272	-0.02	+0.73	+0.71	▲2
2	A.Gulevich	🇷🇺 RUSSIA	272	-0.02	+0.73	+0.71	▲2
3	A.Graves	🇺🇸 USA 1	304	+0.10	+0.56	+0.67	▲6
4	J.Meyers	🇺🇸 USA 1	304	+0.10	+0.56	+0.67	▲6
5	F.Hinden	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	272	-0.04	+0.68	+0.64	·
6	G.Osborne	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	272	-0.04	+0.68	+0.64	·
7	J.Alfejeva	🇱🇻 LATVIA	368	-0.14	+0.77	+0.62	▼6
8	K.Rubins	🇱🇻 LATVIA	368	-0.14	+0.77	+0.62	▼6
9	S.Brock	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	224	+0.15	+0.44	+0.59	▲13
10	B.Myers	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	224	+0.15	+0.44	+0.59	▲13
11	Z.Liao	🇨🇳 CHINA	240	+0.06	+0.47	+0.53	▲6
12	F.Brown	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	240	-0.14	+0.59	+0.46	▼5
13	M.Byrne	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	240	-0.14	+0.59	+0.46	▼5
14	B.Cronier	🇫🇷 FRANCE	256	+0.02	+0.43	+0.45	▲10
15	P.Cronier	🇫🇷 FRANCE	256	+0.02	+0.43	+0.45	▲10
16	D.Gaviard	🇫🇷 FRANCE	240	+0.04	+0.39	+0.43	▲12
17	J.Rombaut	🇫🇷 FRANCE	240	+0.04	+0.39	+0.43	▲12
18	C.Willenken	🇺🇸 USA 2	272	+0.02	+0.41	+0.43	▲8
19	M.Zur-Campanile	🇺🇸 USA 2	272	+0.02	+0.41	+0.43	▲8
20	Z.Xie	🇨🇳 CHINA	288	+0.10	+0.31	+0.42	▲18
21	M.Balint	🇷🇴 ROMANIA	224	-0.11	+0.50	+0.38	▼6
22	B.Marina	🇷🇴 ROMANIA	224	-0.11	+0.50	+0.38	▼6
23	R.Marks	🇵🇱 POLAND	304	+0.08	+0.28	+0.36	▲20
24	D.Ogloblin	🇵🇱 POLAND	304	+0.08	+0.28	+0.36	▲20
25	G.Mihai	🇷🇴 ROMANIA	256	-0.08	+0.45	+0.36	▼7
26	R.Mihai	🇷🇴 ROMANIA	256	-0.08	+0.45	+0.36	▼7
27	M.Ionita	🇷🇴 ROMANIA	256	+0.11	+0.24	+0.35	▲21
28	M.Stegaroiu	🇷🇴 ROMANIA	256	+0.11	+0.24	+0.35	▲21
29	S.Wu	🇨🇳 CHINA	240	+0.06	+0.27	+0.33	▲16
30	G.Andersson	🇸🇪 SWEDEN	256	-0.05	+0.38	+0.33	·
31	G.Strandberg	🇸🇪 SWEDEN	256	-0.05	+0.38	+0.33	·
32	J.Hammelev	🇩🇰 DENMARK	272	+0.01	+0.30	+0.31	▲7
33	C.Krefeld	🇩🇰 DENMARK	272	+0.01	+0.30	+0.31	▲7
34	D.Rosenberg	🇺🇸 USA 2	192	-0.25	+0.56	+0.31	▼23
35	A.Rosenthal	🇺🇸 USA 2	192	-0.25	+0.56	+0.31	▼23
36	K.Fan	🇹🇼 CHINESE TAIPEI	320	+0.08	+0.22	+0.30	▲22
37	P.Tsai	🇹🇼 CHINESE TAIPEI	320	+0.08	+0.22	+0.30	▲22
38	D.Attanasio	🇮🇹 ITALY	272	-0.01	+0.30	+0.29	▲3
39	G.Manara	🇮🇹 ITALY	272	-0.01	+0.30	+0.29	▲3
40	A.Stokka	🇸🇪 SWEDEN	256	-0.05	+0.33	+0.29	▼4
41	Y.Strandberg	🇸🇪 SWEDEN	256	-0.05	+0.33	+0.29	▼4
42	J.Chen	🇨🇳 CHINA	320	-0.09	+0.37	+0.28	▼10
43	H.Bertens	🇺🇸 USA 2	272	+0.04	+0.23	+0.27	▲11
44	J.Wolpert	🇺🇸 USA 2	272	+0.04	+0.23	+0.27	▲11
45	I.Grzejdziak	🇵🇱 POLAND	256	+0.03	+0.24	+0.26	▲5
46	S.Grzejdziak	🇵🇱 POLAND	256	+0.03	+0.24	+0.26	▲5
47	Y.Lu	🇹🇼 CHINESE TAIPEI	160	-0.24	+0.51	+0.26	▼34
48	H.Yang	🇹🇼 CHINESE TAIPEI	160	-0.24	+0.51	+0.26	▼34
49	N.Bekkouche	🇩🇰 DENMARK	256	+0.02	+0.23	+0.25	▲3
50	L.Blakset	🇩🇰 DENMARK	256	+0.02	+0.23	+0.25	▲3
51	A.Gerasimov	🇷🇺 RUSSIA	208	-0.19	+0.44	+0.25	▼31
52	O.Vorobeychikova	🇷🇺 RUSSIA	208	-0.19	+0.44	+0.25	▼31
53	H.Nogueira	🇧🇷 BRAZIL	240	-0.09	+0.34	+0.24	▼20
54	M.Thoma	🇧🇷 BRAZIL	240	-0.09	+0.34	+0.24	▼20
55	M.Chavarria	🇮🇹 ITALY	304	+0.06	+0.17	+0.23	▲7
56	A.Gandoglia	🇮🇹 ITALY	304	+0.06	+0.17	+0.23	▲7
57	P.Wang	🇨🇳 CHINA	256	-0.16	+0.34	+0.18	▼22
58	N.Frey	🇫🇷 FRANCE	240	-0.10	+0.26	+0.16	▼12
59	F.Volcker	🇫🇷 FRANCE	240	-0.10	+0.26	+0.16	▼12
60	T.Asbi	🇮🇩 INDONESIA	368	-0.08	+0.23	+0.15	▼4
61	L.Bojoh	🇮🇩 INDONESIA	368	-0.08	+0.23	+0.15	▼4
62	D.Sacul	🇮🇩 INDONESIA	336	-0.01	+0.15	+0.13	▲4
63	C.Sumampouw	🇮🇩 INDONESIA	336	-0.01	+0.15	+0.13	▲4
64	C.Davies	🇳🇿 NEW ZEALAND	272	+0.05	+0.04	+0.09	▲8
65	J.Patterson	🇳🇿 NEW ZEALAND	272	+0.05	+0.04	+0.09	▲8
66	C.Henner	🇺🇸 USA 1	208	-0.09	+0.18	+0.09	▼6
67	U.Ivatury	🇺🇸 USA 1	208	-0.09	+0.18	+0.09	▼6
68	K.Limsinsopon	🇹🇭 THAILAND	256	+0.03	+0.05	+0.08	▲2
69	P.Sitthicharoensawat	🇹🇭 THAILAND	256	+0.03	+0.05	+0.08	▲2
70	H.Caspersen	🇩🇰 DENMARK	208	-0.10	+0.14	+0.04	▼2
71	S.Farholt	🇩🇰 DENMARK	208	-0.10	+0.14	+0.04	▼2
72	D.Beauchamp	🇦🇺 AUSTRALIA	256	+0.07	-0.04	+0.03	▲8
73	J.Tutty	🇦🇺 AUSTRALIA	256	+0.07	-0.04	+0.03	▲8
74	L.Chen	🇹🇼 CHINESE TAIPEI	256	+0.05	-0.04	+0.01	▲8
75	H.So	🇹🇼 CHINESE TAIPEI	256	+0.05	-0.04	+0.01	▲8
76	K.Janebunjong	🇹🇭 THAILAND	256	-0.17	+0.15	-0.02	▼12
77	K.Plengsap	🇹🇭 THAILAND	256	-0.17	+0.15	-0.02	▼12
78	A.Dubinin	🇷🇺 RUSSIA	256	+0.11	-0.13	-0.02	▲16
79	T.Ponomareva	🇷🇺 RUSSIA	256	+0.11	-0.13	-0.02	▲16
80	D.Eriksson	🇸🇪 SWEDEN	224	+0.08	-0.11	-0.03	▲10
81	M.Helin	🇸🇪 SWEDEN	224	+0.08	-0.11	-0.03	▲10
82	S.Garafulic	🇧🇷 BRAZIL	240	-0.06	+0.03	-0.03	▼8
83	P.Ravenna	🇧🇷 BRAZIL	240	-0.06	+0.03	-0.03	▼8
84	D.Fraser	🇨🇦 CANADA	240	+0.00	-0.05	-0.05	·
85	S.Fraser	🇨🇦 CANADA	240	+0.00	-0.05	-0.05	·
86	B.Naidoo	🇮🇳 INDIA	224	+0.22	-0.28	-0.07	▲20
87	P.Sinha	🇮🇳 INDIA	224	+0.22	-0.28	-0.07	▲20
88	P.Uggeri	🇮🇹 ITALY	160	-0.08	+0.01	-0.07	▼12
89	M.Vanuzzi	🇮🇹 ITALY	160	-0.08	+0.01	-0.07	▼12
90	C.Bjerkan	🇺🇸 USA 1	224	-0.07	-0.02	-0.08	▼12
91	H.Weinstein	🇺🇸 USA 1	224	-0.07	-0.02	-0.08	▼12
92	J.Bethers	🇱🇻 LATVIA	368	+0.02	-0.12	-0.10	·
93	M.Romanovska	🇱🇻 LATVIA	368	+0.02	-0.12	-0.10	·
94	J.Campos	🇧🇷 BRAZIL	256	+0.16	-0.31	-0.15	▲14
95	S.De Mello	🇧🇷 BRAZIL	256	+0.16	-0.31	-0.15	▲14
96	R.Cooper	🇦🇺 AUSTRALIA	240	-0.08	-0.09	-0.17	▼8
97	B.Thompson	🇦🇺 AUSTRALIA	240	-0.08	-0.09	-0.17	▼8
98	C.Mcavoy	🇨🇦 CANADA	240	+0.04	-0.22	-0.17	▲2
99	J.Mcavoy	🇨🇦 CANADA	240	+0.04	-0.22	-0.17	▲2
100	S.Fischer	🇦🇺 AUSTRALIA	240	-0.05	-0.20	-0.25	▼2
101	P.Rankin	🇦🇺 AUSTRALIA	240	-0.05	-0.20	-0.25	▼2
102	J.Wojcieszek	🇵🇱 POLAND	176	-0.20	-0.06	-0.26	▼16
103	M.Wojcik	🇵🇱 POLAND	176	-0.20	-0.06	-0.26	▼16
104	D.Elawady	🇪🇬 EGYPT	272	+0.01	-0.28	-0.26	▲1
105	S.Basu	🇮🇳 INDIA	240	+0.01	-0.28	-0.27	▼2
106	B.Dey	🇮🇳 INDIA	240	+0.01	-0.28	-0.27	▼2
107	A.Audiche	🇪🇬 EGYPT	240	-0.02	-0.25	-0.28	▼5
108	H.Khandelwal	🇮🇳 INDIA	272	-0.10	-0.18	-0.28	▼12
109	R.Khandelwal	🇮🇳 INDIA	272	-0.10	-0.18	-0.28	▼12
110	P.Cummins	🇧🇧 BARBADOS	368	-0.02	-0.36	-0.38	·
111	T.Chodchoy	🇹🇭 THAILAND	224	+0.09	-0.47	-0.38	▲4
112	T.Jitngamkusol	🇹🇭 THAILAND	224	+0.09	-0.47	-0.38	▲4
113	A.Grant	🇳🇿 NEW ZEALAND	224	+0.04	-0.44	-0.40	·
114	A.Lennon	🇳🇿 NEW ZEALAND	224	+0.04	-0.44	-0.40	·
115	D.Blackman	🇧🇧 BARBADOS	288	+0.09	-0.50	-0.42	▲3
116	K.Salama	🇪🇬 EGYPT	208	+0.17	-0.65	-0.48	▲5
117	C.Audiche	🇪🇬 EGYPT	288	+0.17	-0.67	-0.50	▲7
118	W.El Ahmady	🇪🇬 EGYPT	288	-0.03	-0.50	-0.52	▼1
119	D.Rotchell	🇧🇧 BARBADOS	224	-0.13	-0.39	-0.53	▼8
120	R.Foster	🇨🇦 CANADA	256	+0.04	-0.59	-0.56	▼1
121	G.Mccully	🇨🇦 CANADA	256	+0.04	-0.59	-0.56	▼1
122	D.Hachem	🇪🇬 EGYPT	176	-0.18	-0.40	-0.58	▼10
123	F.Benkirane	🇲🇦 MOROCCO	256	+0.04	-0.67	-0.63	▲2
124	E.Said	🇲🇦 MOROCCO	256	+0.04	-0.67	-0.63	▲2
125	A.Henry	🇳🇿 NEW ZEALAND	240	-0.03	-0.67	-0.70	▼3
126	S.Henry	🇳🇿 NEW ZEALAND	240	-0.03	-0.67	-0.70	▼3
127	R.Hinds	🇧🇧 BARBADOS	368	+0.11	-0.89	-0.78	▲3
128	S.Malik	🇵🇰 PAKISTAN	224	+0.12	-0.92	-0.80	▲4
129	H.Iraqi	🇲🇦 MOROCCO	240	+0.06	-0.87	-0.81	▼1
130	M.Kacimi	🇲🇦 MOROCCO	240	+0.06	-0.87	-0.81	▼1
131	R.Saigol	🇵🇰 PAKISTAN	368	+0.08	-0.90	-0.82	·
132	N.Rechtman	🇧🇧 BARBADOS	224	+0.17	-1.01	-0.84	▲1
133	M.Bandesha	🇵🇰 PAKISTAN	176	+0.03	-0.86	-0.84	▼6
134	F.Sarfraz	🇵🇰 PAKISTAN	368	+0.10	-1.23	-1.13	·
135	S.Shah	🇵🇰 PAKISTAN	336	+0.11	-1.26	-1.16	·
136	A.El Awad	🇲🇦 MOROCCO	240	+0.10	-1.41	-1.32	·
137	L.Lamrani	🇲🇦 MOROCCO	240	+0.10	-1.41	-1.32	·

Stages

Statistics