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	K.Dufrat	🇵🇱 POLAND	256	+0.86	+219.0
2	J.Zmuda	🇵🇱 POLAND	256	+0.86	+219.0
3	N.Wang	🇨🇳 CHINA	240	+0.75	+180.0
4	X.Zuo	🇨🇳 CHINA	240	+0.75	+180.0
5	A.Fuglestad	🇳🇴 NORWAY	208	+0.75	+155.0
6	M.Harding	🇳🇴 NORWAY	208	+0.75	+155.0
7	L.Grude	🇳🇴 NORWAY	272	+0.74	+201.0
8	B.Oigarden	🇳🇴 NORWAY	272	+0.74	+201.0
9	B.Bryant	🇨🇦 CANADA	336	+0.60	+202.0
10	H.Dhondy	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	256	+0.58	+149.0
11	N.Senior	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	256	+0.58	+149.0
12	I.Gronkvist	🇸🇪 SWEDEN	288	+0.51	+148.0
13	C.Rimstedt	🇸🇪 SWEDEN	288	+0.51	+148.0
14	Y.Liu	🇨🇳 CHINA	256	+0.51	+131.0
15	Y.Lu	🇨🇳 CHINA	256	+0.51	+131.0
16	L.Baker	🇺🇸 USA 1	224	+0.48	+108.0
17	K.Mccallum	🇺🇸 USA 1	224	+0.48	+108.0
18	O.Pavlushko	🇷🇺 RUSSIA	256	+0.47	+121.0
19	M.Yakovleva	🇷🇺 RUSSIA	256	+0.47	+121.0
20	W.Van Zwol	🇳🇱 NETHERLANDS	256	+0.42	+107.0
21	M.Verbeek	🇳🇱 NETHERLANDS	256	+0.42	+107.0
22	I.Levitina	🇺🇸 USA 1	288	+0.41	+117.0
23	K.Sanborn	🇺🇸 USA 1	288	+0.41	+117.0
24	H.Eythorsdottir	🇺🇸 USA 2	272	+0.38	+104.0
25	L.Lewis	🇺🇸 USA 2	272	+0.38	+104.0
26	T.Tang	🇭🇰 CHINA HONG KONG	256	+0.37	+95.0
27	S.Tung	🇭🇰 CHINA HONG KONG	256	+0.37	+95.0
28	M.Bruijnsteen	🇳🇱 NETHERLANDS	240	+0.37	+89.0
29	L.Dekkers	🇳🇱 NETHERLANDS	240	+0.37	+89.0
30	S.Clementsson	🇸🇪 SWEDEN	192	+0.36	+69.0
31	E.Ovelius	🇸🇪 SWEDEN	192	+0.36	+69.0
32	V.Liu	🇹🇼 CHINESE TAIPEI	240	+0.35	+84.0
33	M.Yang	🇹🇼 CHINESE TAIPEI	240	+0.35	+84.0
34	J.Mourgues	🇫🇷 FRANCE	240	+0.35	+83.0
35	A.Tartarin	🇫🇷 FRANCE	240	+0.35	+83.0
36	H.Koo	🇭🇰 CHINA HONG KONG	256	+0.34	+87.0
37	W.Wong	🇭🇰 CHINA HONG KONG	256	+0.34	+87.0
38	A.Houlberg	🇩🇰 DENMARK	224	+0.34	+76.0
39	C.Madsen	🇩🇰 DENMARK	224	+0.34	+76.0
40	Y.Fukuyoshi	🇯🇵 JAPAN	256	+0.34	+86.0
41	A.Yanagisawa	🇯🇵 JAPAN	256	+0.34	+86.0
42	D.Kazmucha	🇵🇱 POLAND	256	+0.31	+79.0
43	A.Sarniak	🇵🇱 POLAND	256	+0.31	+79.0
44	N.Smith	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	208	+0.31	+64.0
45	Y.Wiseman	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	208	+0.31	+64.0
46	P.Nisbet	🇨🇦 CANADA	320	+0.30	+96.0
47	S.Newton	🇳🇿 NEW ZEALAND	256	+0.29	+75.0
48	J.Wilkinson	🇳🇿 NEW ZEALAND	256	+0.29	+75.0
49	C.Gibbons	🇳🇿 NEW ZEALAND	240	+0.28	+68.0
50	J.Gibbons	🇳🇿 NEW ZEALAND	240	+0.28	+68.0
51	H.Kane	🏴󠁧󠁢󠁳󠁣󠁴󠁿 SCOTLAND	240	+0.28	+68.0
52	A.Symons	🏴󠁧󠁢󠁳󠁣󠁴󠁿 SCOTLAND	240	+0.28	+68.0
53	L.Deas	🇺🇸 USA 2	272	+0.27	+74.0
54	J.Seamon-Molson	🇺🇸 USA 2	272	+0.27	+74.0
55	E.Khonicheva	🇷🇺 RUSSIA	240	+0.21	+51.0
56	D.Rakhmani	🇷🇺 RUSSIA	240	+0.21	+51.0
57	Y.Chen	🇹🇼 CHINESE TAIPEI	256	+0.18	+46.0
58	Y.Lin	🇹🇼 CHINESE TAIPEI	256	+0.18	+46.0
59	T.Kaho	🇯🇵 JAPAN	224	+0.18	+40.0
60	M.Sato	🇯🇵 JAPAN	224	+0.18	+40.0
61	L.Bilde	🇩🇰 DENMARK	256	+0.17	+44.0
62	H.Rasmussen	🇩🇰 DENMARK	256	+0.17	+44.0
63	V.Bessis	🇫🇷 FRANCE	256	+0.14	+36.0
64	C.Puillet	🇫🇷 FRANCE	256	+0.14	+36.0
65	F.Trabelsi	🇹🇳 TUNISIA	247	+0.14	+34.0
66	R.Kato(Ote)	🇯🇵 JAPAN	256	+0.14	+35.0
67	A.Miyakuni	🇯🇵 JAPAN	256	+0.14	+35.0
68	V.Reess	🇫🇷 FRANCE	240	+0.13	+31.0
69	J.Zochowska	🇫🇷 FRANCE	240	+0.13	+31.0
70	K.Hsiao	🇹🇼 CHINESE TAIPEI	240	+0.12	+29.0
71	C.Lin	🇹🇼 CHINESE TAIPEI	240	+0.12	+29.0
72	C.Draper	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	272	+0.12	+32.0
73	G.Fawcett	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	272	+0.12	+32.0
74	C.Baldysz	🇵🇱 POLAND	224	+0.09	+20.0
75	S.Baldysz	🇵🇱 POLAND	224	+0.09	+20.0
76	SHEN (1) Qi	🇨🇳 CHINA	240	+0.07	+17.0
77	W.Wang	🇨🇳 CHINA	240	+0.07	+17.0
78	F.Raza	🇵🇰 PAKISTAN	343	+0.06	+21.0
79	P.Leslie	🏴󠁧󠁢󠁳󠁣󠁴󠁿 SCOTLAND	256	+0.05	+12.0
80	S.Punch	🏴󠁧󠁢󠁳󠁣󠁴󠁿 SCOTLAND	256	+0.05	+12.0
81	C.Bernstein	🇺🇸 USA 2	192	+0.03	+6.0
82	S.Wheeler	🇺🇸 USA 2	192	+0.03	+6.0
83	H.Sellami	🇹🇳 TUNISIA	263	-0.02	-6.0
84	T.Dikhnova	🇷🇺 RUSSIA	240	-0.03	-6.0
85	V.Gromova	🇷🇺 RUSSIA	240	-0.03	-6.0
86	H.Dawson	🇦🇺 AUSTRALIA	240	-0.03	-6.0
87	H.Pitt	🇦🇺 AUSTRALIA	240	-0.03	-6.0
88	E.Mcgowan	🏴󠁧󠁢󠁳󠁣󠁴󠁿 SCOTLAND	240	-0.03	-8.0
89	F.Mcquaker	🏴󠁧󠁢󠁳󠁣󠁴󠁿 SCOTLAND	240	-0.03	-8.0
90	H.Wolpert	🇨🇦 CANADA	352	-0.04	-14.0
91	K.Bertheau	🇸🇪 SWEDEN	256	-0.06	-16.0
92	J.Larsson	🇸🇪 SWEDEN	256	-0.06	-16.0
93	S.Shi	🇺🇸 USA 1	224	-0.11	-24.0
94	J.Stansby	🇺🇸 USA 1	224	-0.11	-24.0
95	S.Blank	🇨🇦 CANADA	336	-0.12	-39.0
96	R.Bakeri	🇮🇳 INDIA	256	-0.13	-34.0
97	A.Kshirsagar	🇮🇳 INDIA	256	-0.13	-34.0
98	R.Agha	🇵🇰 PAKISTAN	295	-0.14	-40.0
99	T.Heskje	🇳🇴 NORWAY	256	-0.15	-39.0
100	G.Vist	🇳🇴 NORWAY	256	-0.15	-39.0
101	J.Pasman	🇳🇱 NETHERLANDS	240	-0.17	-40.0
102	A.Simons	🇳🇱 NETHERLANDS	240	-0.17	-40.0
103	L.Menezes	🇧🇷 BRAZIL	368	-0.20	-75.0
104	A.Vidigal	🇧🇷 BRAZIL	368	-0.20	-75.0
105	S.Buus Thomsen	🇩🇰 DENMARK	256	-0.21	-53.0
106	B.Houmoller	🇩🇰 DENMARK	256	-0.21	-53.0
107	J.Meireles	🇧🇷 BRAZIL	368	-0.24	-89.0
108	J.Pacheco	🇧🇷 BRAZIL	368	-0.24	-89.0
109	M.Thakur	🇮🇳 INDIA	208	-0.34	-70.0
110	G.Mundell	🇦🇺 AUSTRALIA	256	-0.41	-106.0
111	A.Zets	🇦🇺 AUSTRALIA	256	-0.41	-106.0
112	L.Ichilcik	🇦🇺 AUSTRALIA	240	-0.42	-100.0
113	R.Kaplan	🇦🇺 AUSTRALIA	240	-0.42	-100.0
114	N.Kamal	🇮🇳 INDIA	240	-0.48	-115.0
115	P.Crosse	🇿🇦 SOUTH AFRICA	240	-0.50	-119.0
116	B.Hewitt	🇿🇦 SOUTH AFRICA	240	-0.50	-119.0
117	K.Howard	🇹🇹 TRINIDAD & TOBAGO	240	-0.57	-136.0
118	S.Parmanan	🇹🇹 TRINIDAD & TOBAGO	240	-0.57	-136.0
119	Q.Dossa	🇵🇰 PAKISTAN	165	-0.58	-95.0
120	N.Sfar	🇹🇳 TUNISIA	213	-0.60	-128.0
121	P.Batra	🇮🇳 INDIA	240	-0.63	-151.0
122	P.Howard	🇹🇹 TRINIDAD & TOBAGO	256	-0.67	-171.0
123	D.Josa	🇹🇹 TRINIDAD & TOBAGO	256	-0.67	-171.0
124	D.Rosslee	🇿🇦 SOUTH AFRICA	256	-0.68	-175.0
125	C.Stanton	🇿🇦 SOUTH AFRICA	256	-0.68	-175.0
126	A.Sharma	🇮🇳 INDIA	272	-0.72	-196.0
127	N.Abid	🇵🇰 PAKISTAN	224	-0.81	-182.0
128	R.Hai	🇵🇰 PAKISTAN	165	-0.82	-136.0
129	H.Baccar	🇹🇳 TUNISIA	245	-0.82	-202.0
130	V.Armstrong	🇿🇦 SOUTH AFRICA	240	-0.87	-209.0
131	T.Rawson	🇿🇦 SOUTH AFRICA	240	-0.87	-209.0
132	S.Pirzada	🇵🇰 PAKISTAN	240	-1.02	-244.0
133	L.Cartner	🇳🇿 NEW ZEALAND	240	-1.12	-268.0
134	G.Palmer	🇳🇿 NEW ZEALAND	240	-1.12	-268.0
135	M.Dorai	🇹🇳 TUNISIA	224	-1.15	-258.0
136	A.Daldoul	🇹🇳 TUNISIA	240	-1.22	-292.0
137	C.Booth	🇭🇰 CHINA HONG KONG	224	-1.27	-284.0
138	P.Chan	🇭🇰 CHINA HONG KONG	224	-1.27	-284.0
139	D.Fletcher	🇹🇹 TRINIDAD & TOBAGO	240	-1.42	-340.0
140	A.Xavier	🇹🇹 TRINIDAD & TOBAGO	240	-1.42	-340.0
141	J.Smith	🇨🇦 CANADA	128	-0.48	-61.0

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.Baldysz	🇵🇱 POLAND	48	87.5%	0.12
2	D.Fletcher	🇹🇹 TRINIDAD & TOBAGO	63	87.3%	0.16
3	V.Liu	🇹🇼 CHINESE TAIPEI	51	86.3%	0.14
4	M.Bruijnsteen	🇳🇱 NETHERLANDS	65	86.2%	0.15
5	H.Koo	🇭🇰 CHINA HONG KONG	55	85.5%	0.16
6	B.Houmoller	🇩🇰 DENMARK	74	85.1%	0.18
7	I.Gronkvist	🇸🇪 SWEDEN	66	84.8%	0.17
8	A.Yanagisawa	🇯🇵 JAPAN	65	84.6%	0.18
9	V.Armstrong	🇿🇦 SOUTH AFRICA	51	84.3%	0.18
10	S.Buus Thomsen	🇩🇰 DENMARK	51	84.3%	0.20
11	L.Dekkers	🇳🇱 NETHERLANDS	69	84.1%	0.19
12	C.Draper	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	67	83.6%	0.16
13	C.Madsen	🇩🇰 DENMARK	55	83.6%	0.22
14	S.Baldysz	🇵🇱 POLAND	54	83.3%	0.22
15	A.Sharma	🇮🇳 INDIA	60	83.3%	0.23
16	Y.Lu	🇨🇳 CHINA	70	82.9%	0.19
17	S.Clementsson	🇸🇪 SWEDEN	35	82.9%	0.20
18	N.Abid	🇵🇰 PAKISTAN	46	82.6%	0.17
19	P.Nisbet	🇨🇦 CANADA	86	82.6%	0.21
20	Y.Liu	🇨🇳 CHINA	57	82.5%	0.19
21	G.Mundell	🇦🇺 AUSTRALIA	68	82.4%	0.21
22	C.Rimstedt	🇸🇪 SWEDEN	74	82.4%	0.24
23	A.Miyakuni	🇯🇵 JAPAN	62	82.3%	0.18
24	J.Zochowska	🇫🇷 FRANCE	67	82.1%	0.19
25	G.Fawcett	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	78	82.1%	0.20
26	J.Zmuda	🇵🇱 POLAND	50	82.0%	0.20
27	R.Bakeri	🇮🇳 INDIA	72	81.9%	0.19
28	A.Sarniak	🇵🇱 POLAND	66	81.8%	0.23
29	A.Symons	🏴󠁧󠁢󠁳󠁣󠁴󠁿 SCOTLAND	71	81.7%	0.25
30	W.Wang	🇨🇳 CHINA	76	81.6%	0.20
31	N.Senior	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	65	81.5%	0.20
32	C.Bernstein	🇺🇸 USA 2	70	81.4%	0.19
33	H.Sellami	🇹🇳 TUNISIA	59	81.4%	0.22
34	D.Kazmucha	🇵🇱 POLAND	70	81.4%	0.23
35	R.Hai	🇵🇰 PAKISTAN	43	81.4%	0.23
36	E.Mcgowan	🏴󠁧󠁢󠁳󠁣󠁴󠁿 SCOTLAND	53	81.1%	0.21
37	H.Dhondy	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	58	81.0%	0.19
38	S.Punch	🏴󠁧󠁢󠁳󠁣󠁴󠁿 SCOTLAND	52	80.8%	0.19
39	O.Pavlushko	🇷🇺 RUSSIA	62	80.6%	0.26
40	Y.Chen	🇹🇼 CHINESE TAIPEI	56	80.4%	0.20
41	H.Pitt	🇦🇺 AUSTRALIA	56	80.4%	0.23
42	J.Stansby	🇺🇸 USA 1	51	80.4%	0.23
43	L.Grude	🇳🇴 NORWAY	66	80.3%	0.20
44	V.Reess	🇫🇷 FRANCE	45	80.0%	0.20
45	J.Meireles	🇧🇷 BRAZIL	95	80.0%	0.22
46	N.Kamal	🇮🇳 INDIA	45	80.0%	0.24
47	V.Bessis	🇫🇷 FRANCE	69	79.7%	0.22
48	K.Dufrat	🇵🇱 POLAND	59	79.7%	0.22
49	SHEN (1) Qi	🇨🇳 CHINA	44	79.5%	0.23
50	T.Tang	🇭🇰 CHINA HONG KONG	68	79.4%	0.21
51	H.Dawson	🇦🇺 AUSTRALIA	63	79.4%	0.22
52	A.Kshirsagar	🇮🇳 INDIA	68	79.4%	0.23
53	S.Shi	🇺🇸 USA 1	48	79.2%	0.23
54	A.Tartarin	🇫🇷 FRANCE	53	79.2%	0.24
55	P.Chan	🇭🇰 CHINA HONG KONG	48	79.2%	0.25
56	C.Puillet	🇫🇷 FRANCE	67	79.1%	0.28
57	P.Howard	🇹🇹 TRINIDAD & TOBAGO	52	78.8%	0.21
58	L.Cartner	🇳🇿 NEW ZEALAND	61	78.7%	0.21
59	E.Khonicheva	🇷🇺 RUSSIA	47	78.7%	0.23
60	Y.Fukuyoshi	🇯🇵 JAPAN	56	78.6%	0.25
61	J.Gibbons	🇳🇿 NEW ZEALAND	51	78.4%	0.23
62	Y.Wiseman	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	51	78.4%	0.23
63	A.Daldoul	🇹🇳 TUNISIA	69	78.3%	0.22
64	T.Kaho	🇯🇵 JAPAN	69	78.3%	0.26
65	F.Raza	🇵🇰 PAKISTAN	92	78.3%	0.26
66	T.Heskje	🇳🇴 NORWAY	60	78.3%	0.28
67	J.Mourgues	🇫🇷 FRANCE	78	78.2%	0.24
68	J.Pasman	🇳🇱 NETHERLANDS	63	77.8%	0.24
69	P.Crosse	🇿🇦 SOUTH AFRICA	63	77.8%	0.24
70	S.Pirzada	🇵🇰 PAKISTAN	71	77.5%	0.25
71	H.Baccar	🇹🇳 TUNISIA	62	77.4%	0.23
72	Y.Lin	🇹🇼 CHINESE TAIPEI	62	77.4%	0.27
73	K.Mccallum	🇺🇸 USA 1	53	77.4%	0.28
74	N.Sfar	🇹🇳 TUNISIA	31	77.4%	0.35
75	L.Bilde	🇩🇰 DENMARK	66	77.3%	0.26
76	H.Rasmussen	🇩🇰 DENMARK	57	77.2%	0.30
77	A.Simons	🇳🇱 NETHERLANDS	64	76.6%	0.27
78	J.Wilkinson	🇳🇿 NEW ZEALAND	68	76.5%	0.25
79	V.Gromova	🇷🇺 RUSSIA	68	76.5%	0.29
80	L.Menezes	🇧🇷 BRAZIL	89	76.4%	0.28
81	S.Blank	🇨🇦 CANADA	76	76.3%	0.26
82	M.Yang	🇹🇼 CHINESE TAIPEI	63	76.2%	0.24
83	A.Houlberg	🇩🇰 DENMARK	42	76.2%	0.26
84	B.Hewitt	🇿🇦 SOUTH AFRICA	67	76.1%	0.25
85	S.Tung	🇭🇰 CHINA HONG KONG	58	75.9%	0.28
86	H.Wolpert	🇨🇦 CANADA	99	75.8%	0.25
87	B.Oigarden	🇳🇴 NORWAY	74	75.7%	0.26
88	J.Seamon-Molson	🇺🇸 USA 2	69	75.4%	0.25
89	C.Gibbons	🇳🇿 NEW ZEALAND	61	75.4%	0.29
90	N.Wang	🇨🇳 CHINA	60	75.0%	0.27
91	H.Kane	🏴󠁧󠁢󠁳󠁣󠁴󠁿 SCOTLAND	60	75.0%	0.27
92	M.Dorai	🇹🇳 TUNISIA	52	75.0%	0.27
93	R.Kaplan	🇦🇺 AUSTRALIA	48	75.0%	0.27
94	B.Bryant	🇨🇦 CANADA	84	75.0%	0.27
95	P.Leslie	🏴󠁧󠁢󠁳󠁣󠁴󠁿 SCOTLAND	68	75.0%	0.32
96	L.Baker	🇺🇸 USA 1	59	74.6%	0.27
97	D.Josa	🇹🇹 TRINIDAD & TOBAGO	63	74.6%	0.29
98	F.Mcquaker	🏴󠁧󠁢󠁳󠁣󠁴󠁿 SCOTLAND	67	74.6%	0.33
99	W.Wong	🇭🇰 CHINA HONG KONG	78	74.4%	0.28
100	M.Thakur	🇮🇳 INDIA	62	74.2%	0.31
101	A.Fuglestad	🇳🇴 NORWAY	50	74.0%	0.26
102	R.Kato(Ote)	🇯🇵 JAPAN	69	73.9%	0.30
103	D.Rosslee	🇿🇦 SOUTH AFRICA	57	73.7%	0.33
104	G.Vist	🇳🇴 NORWAY	72	73.6%	0.28
105	D.Rakhmani	🇷🇺 RUSSIA	72	73.6%	0.31
106	F.Trabelsi	🇹🇳 TUNISIA	68	73.5%	0.29
107	C.Booth	🇭🇰 CHINA HONG KONG	64	73.4%	0.33
108	P.Batra	🇮🇳 INDIA	60	73.3%	0.27
109	M.Yakovleva	🇷🇺 RUSSIA	60	73.3%	0.28
110	A.Xavier	🇹🇹 TRINIDAD & TOBAGO	56	73.2%	0.29
111	T.Rawson	🇿🇦 SOUTH AFRICA	52	73.1%	0.29
112	Q.Dossa	🇵🇰 PAKISTAN	37	73.0%	0.27
113	S.Newton	🇳🇿 NEW ZEALAND	63	73.0%	0.29
114	L.Deas	🇺🇸 USA 2	63	73.0%	0.32
115	A.Vidigal	🇧🇷 BRAZIL	101	72.3%	0.35
116	J.Pacheco	🇧🇷 BRAZIL	93	72.0%	0.30
117	J.Larsson	🇸🇪 SWEDEN	64	71.9%	0.28
118	H.Eythorsdottir	🇺🇸 USA 2	64	71.9%	0.36
119	K.Bertheau	🇸🇪 SWEDEN	71	71.8%	0.32
120	M.Sato	🇯🇵 JAPAN	60	71.7%	0.30
121	C.Lin	🇹🇼 CHINESE TAIPEI	73	71.2%	0.33
122	R.Agha	🇵🇰 PAKISTAN	69	71.0%	0.32
123	W.Van Zwol	🇳🇱 NETHERLANDS	61	70.5%	0.31
124	K.Sanborn	🇺🇸 USA 1	63	69.8%	0.35
125	A.Zets	🇦🇺 AUSTRALIA	66	69.7%	0.32
126	M.Verbeek	🇳🇱 NETHERLANDS	56	69.6%	0.39
127	K.Hsiao	🇹🇼 CHINESE TAIPEI	59	69.5%	0.34
128	X.Zuo	🇨🇳 CHINA	62	69.4%	0.31
129	S.Wheeler	🇺🇸 USA 2	36	69.4%	0.31
130	N.Smith	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	52	69.2%	0.39
131	K.Howard	🇹🇹 TRINIDAD & TOBAGO	55	69.1%	0.33
132	T.Dikhnova	🇷🇺 RUSSIA	55	69.1%	0.34
133	I.Levitina	🇺🇸 USA 1	87	69.0%	0.37
134	C.Stanton	🇿🇦 SOUTH AFRICA	70	68.6%	0.36
135	M.Harding	🇳🇴 NORWAY	57	68.4%	0.33
136	G.Palmer	🇳🇿 NEW ZEALAND	60	68.3%	0.33
137	L.Ichilcik	🇦🇺 AUSTRALIA	60	68.3%	0.35
138	L.Lewis	🇺🇸 USA 2	73	67.1%	0.40
139	E.Ovelius	🇸🇪 SWEDEN	51	64.7%	0.41
140	S.Parmanan	🇹🇹 TRINIDAD & TOBAGO	62	59.7%	0.42
141	J.Smith	🇨🇦 CANADA	37	83.8%	0.22

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	V.Liu	🇹🇼 CHINESE TAIPEI	51	88.2%	0.20
2	X.Zuo	🇨🇳 CHINA	68	86.8%	0.21
3	D.Kazmucha	🇵🇱 POLAND	63	85.7%	0.24
4	S.Baldysz	🇵🇱 POLAND	66	84.8%	0.15
5	J.Mourgues	🇫🇷 FRANCE	58	84.5%	0.31
6	T.Kaho	🇯🇵 JAPAN	44	84.1%	0.20
7	N.Senior	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	74	83.8%	0.19
8	H.Eythorsdottir	🇺🇸 USA 2	49	83.7%	0.16
9	C.Rimstedt	🇸🇪 SWEDEN	78	83.3%	0.22
10	G.Vist	🇳🇴 NORWAY	51	82.4%	0.26
11	C.Madsen	🇩🇰 DENMARK	67	82.1%	0.21
12	E.Khonicheva	🇷🇺 RUSSIA	61	82.0%	0.18
13	K.Dufrat	🇵🇱 POLAND	77	81.8%	0.21
14	K.Mccallum	🇺🇸 USA 1	53	81.1%	0.23
15	I.Gronkvist	🇸🇪 SWEDEN	68	80.9%	0.22
16	S.Shi	🇺🇸 USA 1	67	80.6%	0.24
17	H.Rasmussen	🇩🇰 DENMARK	62	80.6%	0.24
18	R.Agha	🇵🇰 PAKISTAN	77	80.5%	0.27
19	M.Verbeek	🇳🇱 NETHERLANDS	61	80.3%	0.26
20	J.Seamon-Molson	🇺🇸 USA 2	60	80.0%	0.23
21	M.Yang	🇹🇼 CHINESE TAIPEI	75	80.0%	0.29
22	C.Draper	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	63	79.4%	0.30
23	L.Ichilcik	🇦🇺 AUSTRALIA	67	79.1%	0.27
24	A.Yanagisawa	🇯🇵 JAPAN	66	78.8%	0.23
25	A.Sarniak	🇵🇱 POLAND	56	78.6%	0.29
26	Y.Chen	🇹🇼 CHINESE TAIPEI	69	78.3%	0.23
27	S.Clementsson	🇸🇪 SWEDEN	46	78.3%	0.26
28	A.Fuglestad	🇳🇴 NORWAY	49	77.6%	0.29
29	A.Miyakuni	🇯🇵 JAPAN	62	77.4%	0.31
30	K.Sanborn	🇺🇸 USA 1	66	77.3%	0.26
31	L.Deas	🇺🇸 USA 2	79	77.2%	0.27
32	P.Howard	🇹🇹 TRINIDAD & TOBAGO	74	77.0%	0.24
33	Y.Lin	🇹🇼 CHINESE TAIPEI	69	76.8%	0.30
34	A.Simons	🇳🇱 NETHERLANDS	60	76.7%	0.23
35	P.Batra	🇮🇳 INDIA	60	76.7%	0.33
36	W.Wang	🇨🇳 CHINA	64	76.6%	0.30
37	B.Houmoller	🇩🇰 DENMARK	68	76.5%	0.28
38	H.Dhondy	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	59	76.3%	0.29
39	V.Gromova	🇷🇺 RUSSIA	59	76.3%	0.32
40	S.Punch	🏴󠁧󠁢󠁳󠁣󠁴󠁿 SCOTLAND	67	76.1%	0.34
41	E.Mcgowan	🏴󠁧󠁢󠁳󠁣󠁴󠁿 SCOTLAND	58	75.9%	0.28
42	K.Bertheau	🇸🇪 SWEDEN	62	75.8%	0.26
43	F.Mcquaker	🏴󠁧󠁢󠁳󠁣󠁴󠁿 SCOTLAND	62	75.8%	0.26
44	I.Levitina	🇺🇸 USA 1	70	75.7%	0.30
45	M.Bruijnsteen	🇳🇱 NETHERLANDS	49	75.5%	0.31
46	L.Cartner	🇳🇿 NEW ZEALAND	49	75.5%	0.33
47	J.Gibbons	🇳🇿 NEW ZEALAND	65	75.4%	0.34
48	H.Wolpert	🇨🇦 CANADA	81	75.3%	0.30
49	J.Stansby	🇺🇸 USA 1	56	75.0%	0.30
50	J.Pacheco	🇧🇷 BRAZIL	88	75.0%	0.36
51	J.Larsson	🇸🇪 SWEDEN	59	74.6%	0.27
52	F.Trabelsi	🇹🇳 TUNISIA	59	74.6%	0.29
53	E.Ovelius	🇸🇪 SWEDEN	59	74.6%	0.30
54	L.Bilde	🇩🇰 DENMARK	71	74.6%	0.31
55	A.Xavier	🇹🇹 TRINIDAD & TOBAGO	55	74.5%	0.38
56	S.Blank	🇨🇦 CANADA	86	74.4%	0.31
57	M.Yakovleva	🇷🇺 RUSSIA	74	74.3%	0.27
58	A.Kshirsagar	🇮🇳 INDIA	66	74.2%	0.30
59	O.Pavlushko	🇷🇺 RUSSIA	58	74.1%	0.34
60	H.Koo	🇭🇰 CHINA HONG KONG	73	74.0%	0.33
61	N.Wang	🇨🇳 CHINA	50	74.0%	0.36
62	Y.Lu	🇨🇳 CHINA	61	73.8%	0.29
63	R.Kato(Ote)	🇯🇵 JAPAN	61	73.8%	0.29
64	V.Bessis	🇫🇷 FRANCE	61	73.8%	0.33
65	N.Smith	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	53	73.6%	0.30
66	L.Lewis	🇺🇸 USA 2	83	73.5%	0.33
67	C.Bernstein	🇺🇸 USA 2	45	73.3%	0.49
68	SHEN (1) Qi	🇨🇳 CHINA	56	73.2%	0.36
69	W.Van Zwol	🇳🇱 NETHERLANDS	78	73.1%	0.33
70	M.Harding	🇳🇴 NORWAY	52	73.1%	0.35
71	G.Fawcett	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	63	73.0%	0.32
72	A.Houlberg	🇩🇰 DENMARK	59	72.9%	0.32
73	F.Raza	🇵🇰 PAKISTAN	88	72.7%	0.29
74	V.Reess	🇫🇷 FRANCE	66	72.7%	0.32
75	B.Bryant	🇨🇦 CANADA	77	72.7%	0.42
76	K.Hsiao	🇹🇼 CHINESE TAIPEI	51	72.5%	0.31
77	J.Meireles	🇧🇷 BRAZIL	91	72.5%	0.33
78	P.Nisbet	🇨🇦 CANADA	76	72.4%	0.35
79	A.Symons	🏴󠁧󠁢󠁳󠁣󠁴󠁿 SCOTLAND	54	72.2%	0.35
80	C.Lin	🇹🇼 CHINESE TAIPEI	57	71.9%	0.30
81	S.Tung	🇭🇰 CHINA HONG KONG	64	71.9%	0.33
82	H.Pitt	🇦🇺 AUSTRALIA	64	71.9%	0.36
83	R.Kaplan	🇦🇺 AUSTRALIA	64	71.9%	0.36
84	T.Dikhnova	🇷🇺 RUSSIA	57	71.9%	0.37
85	D.Rakhmani	🇷🇺 RUSSIA	60	71.7%	0.33
86	N.Sfar	🇹🇳 TUNISIA	67	71.6%	0.37
87	B.Oigarden	🇳🇴 NORWAY	63	71.4%	0.33
88	C.Baldysz	🇵🇱 POLAND	56	71.4%	0.36
89	L.Dekkers	🇳🇱 NETHERLANDS	56	71.4%	0.36
90	A.Tartarin	🇫🇷 FRANCE	49	71.4%	0.43
91	T.Heskje	🇳🇴 NORWAY	73	71.2%	0.32
92	S.Wheeler	🇺🇸 USA 2	38	71.1%	0.40
93	P.Leslie	🏴󠁧󠁢󠁳󠁣󠁴󠁿 SCOTLAND	69	71.0%	0.35
94	T.Tang	🇭🇰 CHINA HONG KONG	65	70.8%	0.34
95	P.Crosse	🇿🇦 SOUTH AFRICA	51	70.6%	0.37
96	D.Josa	🇹🇹 TRINIDAD & TOBAGO	67	70.1%	0.36
97	M.Sato	🇯🇵 JAPAN	50	70.0%	0.40
98	C.Gibbons	🇳🇿 NEW ZEALAND	63	69.8%	0.36
99	H.Sellami	🇹🇳 TUNISIA	69	69.6%	0.33
100	L.Baker	🇺🇸 USA 1	59	69.5%	0.36
101	M.Thakur	🇮🇳 INDIA	36	69.4%	0.39
102	S.Buus Thomsen	🇩🇰 DENMARK	62	69.4%	0.40
103	Y.Fukuyoshi	🇯🇵 JAPAN	65	69.2%	0.39
104	D.Rosslee	🇿🇦 SOUTH AFRICA	55	69.1%	0.49
105	A.Sharma	🇮🇳 INDIA	74	68.9%	0.38
106	N.Abid	🇵🇰 PAKISTAN	48	68.8%	0.40
107	J.Zmuda	🇵🇱 POLAND	70	68.6%	0.34
108	N.Kamal	🇮🇳 INDIA	82	68.3%	0.39
109	V.Armstrong	🇿🇦 SOUTH AFRICA	66	68.2%	0.39
110	H.Dawson	🇦🇺 AUSTRALIA	56	67.9%	0.52
111	C.Puillet	🇫🇷 FRANCE	59	67.8%	0.39
112	Q.Dossa	🇵🇰 PAKISTAN	31	67.7%	0.35
113	G.Mundell	🇦🇺 AUSTRALIA	62	67.7%	0.39
114	L.Grude	🇳🇴 NORWAY	68	67.6%	0.41
115	Y.Wiseman	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	52	67.3%	0.39
116	J.Pasman	🇳🇱 NETHERLANDS	52	67.3%	0.39
117	C.Booth	🇭🇰 CHINA HONG KONG	58	67.2%	0.38
118	J.Wilkinson	🇳🇿 NEW ZEALAND	66	66.7%	0.39
119	P.Chan	🇭🇰 CHINA HONG KONG	54	66.7%	0.41
120	W.Wong	🇭🇰 CHINA HONG KONG	50	66.0%	0.42
121	L.Menezes	🇧🇷 BRAZIL	87	65.5%	0.45
122	R.Bakeri	🇮🇳 INDIA	49	65.3%	0.43
123	J.Zochowska	🇫🇷 FRANCE	62	64.5%	0.39
124	T.Rawson	🇿🇦 SOUTH AFRICA	70	64.3%	0.43
125	G.Palmer	🇳🇿 NEW ZEALAND	70	64.3%	0.44
126	A.Vidigal	🇧🇷 BRAZIL	89	64.0%	0.42
127	A.Zets	🇦🇺 AUSTRALIA	58	63.8%	0.47
128	Y.Liu	🇨🇳 CHINA	68	63.2%	0.47
129	K.Howard	🇹🇹 TRINIDAD & TOBAGO	57	63.2%	0.47
130	A.Daldoul	🇹🇳 TUNISIA	54	63.0%	0.63
131	S.Newton	🇳🇿 NEW ZEALAND	59	62.7%	0.44
132	B.Hewitt	🇿🇦 SOUTH AFRICA	59	62.7%	0.46
133	S.Pirzada	🇵🇰 PAKISTAN	64	62.5%	0.45
134	H.Baccar	🇹🇳 TUNISIA	63	61.9%	0.40
135	S.Parmanan	🇹🇹 TRINIDAD & TOBAGO	65	61.5%	0.48
136	M.Dorai	🇹🇳 TUNISIA	56	60.7%	0.50
137	C.Stanton	🇿🇦 SOUTH AFRICA	71	59.2%	0.55
138	D.Fletcher	🇹🇹 TRINIDAD & TOBAGO	65	58.5%	0.49
139	H.Kane	🏴󠁧󠁢󠁳󠁣󠁴󠁿 SCOTLAND	53	58.5%	0.60
140	R.Hai	🇵🇰 PAKISTAN	41	53.7%	0.58
141	J.Smith	🇨🇦 CANADA	33	78.8%	0.24

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	N.Smith	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	103	94.2%	0.06
2	Y.Wiseman	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	103	94.2%	0.06
3	A.Fuglestad	🇳🇴 NORWAY	107	91.6%	0.10
4	M.Harding	🇳🇴 NORWAY	107	91.6%	0.10
5	L.Deas	🇺🇸 USA 2	132	90.9%	0.10
6	J.Seamon-Molson	🇺🇸 USA 2	132	90.9%	0.10
7	K.Dufrat	🇵🇱 POLAND	109	90.8%	0.10
8	J.Zmuda	🇵🇱 POLAND	109	90.8%	0.10
9	I.Gronkvist	🇸🇪 SWEDEN	140	90.7%	0.09
10	C.Rimstedt	🇸🇪 SWEDEN	140	90.7%	0.09
11	V.Reess	🇫🇷 FRANCE	112	90.2%	0.12
12	J.Zochowska	🇫🇷 FRANCE	112	90.2%	0.12
13	I.Levitina	🇺🇸 USA 1	150	90.0%	0.11
14	K.Sanborn	🇺🇸 USA 1	150	90.0%	0.11
15	A.Houlberg	🇩🇰 DENMARK	97	89.7%	0.12
16	C.Madsen	🇩🇰 DENMARK	97	89.7%	0.12
17	W.Van Zwol	🇳🇱 NETHERLANDS	117	89.7%	0.13
18	M.Verbeek	🇳🇱 NETHERLANDS	117	89.7%	0.13
19	T.Dikhnova	🇷🇺 RUSSIA	123	89.4%	0.11
20	V.Gromova	🇷🇺 RUSSIA	123	89.4%	0.11
21	L.Bilde	🇩🇰 DENMARK	123	89.4%	0.14
22	H.Rasmussen	🇩🇰 DENMARK	123	89.4%	0.14
23	C.Gibbons	🇳🇿 NEW ZEALAND	112	89.3%	0.13
24	J.Gibbons	🇳🇿 NEW ZEALAND	112	89.3%	0.13
25	T.Tang	🇭🇰 CHINA HONG KONG	126	88.9%	0.14
26	S.Tung	🇭🇰 CHINA HONG KONG	126	88.9%	0.14
27	S.Newton	🇳🇿 NEW ZEALAND	131	88.5%	0.14
28	J.Wilkinson	🇳🇿 NEW ZEALAND	131	88.5%	0.14
29	Y.Fukuyoshi	🇯🇵 JAPAN	121	88.4%	0.13
30	A.Yanagisawa	🇯🇵 JAPAN	121	88.4%	0.13
31	SHEN (1) Qi	🇨🇳 CHINA	120	88.3%	0.12
32	W.Wang	🇨🇳 CHINA	120	88.3%	0.12
33	B.Bryant	🇨🇦 CANADA	180	88.3%	0.15
34	Y.Liu	🇨🇳 CHINA	127	88.2%	0.12
35	Y.Lu	🇨🇳 CHINA	127	88.2%	0.12
36	D.Kazmucha	🇵🇱 POLAND	136	88.2%	0.12
37	A.Sarniak	🇵🇱 POLAND	136	88.2%	0.12
38	C.Baldysz	🇵🇱 POLAND	102	88.2%	0.17
39	S.Baldysz	🇵🇱 POLAND	102	88.2%	0.17
40	Y.Chen	🇹🇼 CHINESE TAIPEI	118	88.1%	0.14
41	Y.Lin	🇹🇼 CHINESE TAIPEI	118	88.1%	0.14
42	E.Mcgowan	🏴󠁧󠁢󠁳󠁣󠁴󠁿 SCOTLAND	120	87.5%	0.14
43	F.Mcquaker	🏴󠁧󠁢󠁳󠁣󠁴󠁿 SCOTLAND	120	87.5%	0.14
44	J.Pasman	🇳🇱 NETHERLANDS	127	87.4%	0.13
45	A.Simons	🇳🇱 NETHERLANDS	127	87.4%	0.13
46	P.Batra	🇮🇳 INDIA	111	87.4%	0.14
47	D.Rosslee	🇿🇦 SOUTH AFRICA	127	87.4%	0.17
48	C.Stanton	🇿🇦 SOUTH AFRICA	127	87.4%	0.17
49	M.Bruijnsteen	🇳🇱 NETHERLANDS	134	87.3%	0.13
50	L.Dekkers	🇳🇱 NETHERLANDS	134	87.3%	0.13
51	A.Sharma	🇮🇳 INDIA	131	87.0%	0.14
52	H.Dhondy	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	123	87.0%	0.15
53	N.Senior	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	123	87.0%	0.15
54	C.Draper	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	145	86.9%	0.14
55	G.Fawcett	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	145	86.9%	0.14
56	O.Pavlushko	🇷🇺 RUSSIA	122	86.9%	0.18
57	M.Yakovleva	🇷🇺 RUSSIA	122	86.9%	0.18
58	S.Shi	🇺🇸 USA 1	99	86.9%	0.21
59	J.Stansby	🇺🇸 USA 1	99	86.9%	0.21
60	P.Nisbet	🇨🇦 CANADA	166	86.7%	0.16
61	H.Wolpert	🇨🇦 CANADA	179	86.6%	0.17
62	S.Buus Thomsen	🇩🇰 DENMARK	125	86.4%	0.15
63	B.Houmoller	🇩🇰 DENMARK	125	86.4%	0.15
64	P.Howard	🇹🇹 TRINIDAD & TOBAGO	115	86.1%	0.16
65	D.Josa	🇹🇹 TRINIDAD & TOBAGO	115	86.1%	0.16
66	N.Wang	🇨🇳 CHINA	122	86.1%	0.16
67	X.Zuo	🇨🇳 CHINA	122	86.1%	0.16
68	P.Leslie	🏴󠁧󠁢󠁳󠁣󠁴󠁿 SCOTLAND	120	85.8%	0.19
69	S.Punch	🏴󠁧󠁢󠁳󠁣󠁴󠁿 SCOTLAND	120	85.8%	0.19
70	R.Agha	🇵🇰 PAKISTAN	147	85.7%	0.16
71	K.Hsiao	🇹🇼 CHINESE TAIPEI	132	85.6%	0.17
72	C.Lin	🇹🇼 CHINESE TAIPEI	132	85.6%	0.17
73	S.Blank	🇨🇦 CANADA	172	85.5%	0.18
74	V.Liu	🇹🇼 CHINESE TAIPEI	114	85.1%	0.16
75	M.Yang	🇹🇼 CHINESE TAIPEI	114	85.1%	0.16
76	C.Bernstein	🇺🇸 USA 2	106	84.9%	0.17
77	S.Wheeler	🇺🇸 USA 2	106	84.9%	0.17
78	L.Baker	🇺🇸 USA 1	112	84.8%	0.17
79	K.Mccallum	🇺🇸 USA 1	112	84.8%	0.17
80	N.Abid	🇵🇰 PAKISTAN	112	84.8%	0.19
81	J.Mourgues	🇫🇷 FRANCE	131	84.7%	0.18
82	A.Tartarin	🇫🇷 FRANCE	131	84.7%	0.18
83	H.Eythorsdottir	🇺🇸 USA 2	137	84.7%	0.19
84	L.Lewis	🇺🇸 USA 2	137	84.7%	0.19
85	V.Bessis	🇫🇷 FRANCE	136	84.6%	0.19
86	C.Puillet	🇫🇷 FRANCE	136	84.6%	0.19
87	T.Kaho	🇯🇵 JAPAN	129	84.5%	0.23
88	M.Sato	🇯🇵 JAPAN	129	84.5%	0.23
89	K.Bertheau	🇸🇪 SWEDEN	135	84.4%	0.16
90	J.Larsson	🇸🇪 SWEDEN	135	84.4%	0.16
91	G.Mundell	🇦🇺 AUSTRALIA	134	84.3%	0.16
92	A.Zets	🇦🇺 AUSTRALIA	134	84.3%	0.16
93	S.Pirzada	🇵🇰 PAKISTAN	120	84.2%	0.19
94	F.Raza	🇵🇰 PAKISTAN	170	84.1%	0.18
95	R.Kato(Ote)	🇯🇵 JAPAN	131	84.0%	0.18
96	A.Miyakuni	🇯🇵 JAPAN	131	84.0%	0.18
97	H.Kane	🏴󠁧󠁢󠁳󠁣󠁴󠁿 SCOTLAND	131	84.0%	0.19
98	A.Symons	🏴󠁧󠁢󠁳󠁣󠁴󠁿 SCOTLAND	131	84.0%	0.19
99	E.Khonicheva	🇷🇺 RUSSIA	119	84.0%	0.21
100	D.Rakhmani	🇷🇺 RUSSIA	119	84.0%	0.21
101	C.Booth	🇭🇰 CHINA HONG KONG	112	83.9%	0.20
102	P.Chan	🇭🇰 CHINA HONG KONG	112	83.9%	0.20
103	A.Daldoul	🇹🇳 TUNISIA	123	83.7%	0.18
104	M.Dorai	🇹🇳 TUNISIA	115	83.5%	0.18
105	L.Cartner	🇳🇿 NEW ZEALAND	121	83.5%	0.20
106	G.Palmer	🇳🇿 NEW ZEALAND	121	83.5%	0.20
107	S.Clementsson	🇸🇪 SWEDEN	86	82.6%	0.22
108	E.Ovelius	🇸🇪 SWEDEN	86	82.6%	0.22
109	T.Heskje	🇳🇴 NORWAY	132	82.6%	0.23
110	G.Vist	🇳🇴 NORWAY	132	82.6%	0.23
111	L.Grude	🇳🇴 NORWAY	140	82.1%	0.23
112	B.Oigarden	🇳🇴 NORWAY	140	82.1%	0.23
113	R.Bakeri	🇮🇳 INDIA	140	82.1%	0.26
114	A.Kshirsagar	🇮🇳 INDIA	140	82.1%	0.26
115	H.Koo	🇭🇰 CHINA HONG KONG	133	82.0%	0.23
116	W.Wong	🇭🇰 CHINA HONG KONG	133	82.0%	0.23
117	V.Armstrong	🇿🇦 SOUTH AFRICA	103	81.6%	0.22
118	T.Rawson	🇿🇦 SOUTH AFRICA	103	81.6%	0.22
119	H.Baccar	🇹🇳 TUNISIA	103	81.6%	0.22
120	N.Sfar	🇹🇳 TUNISIA	87	81.6%	0.23
121	L.Ichilcik	🇦🇺 AUSTRALIA	108	81.5%	0.19
122	R.Kaplan	🇦🇺 AUSTRALIA	108	81.5%	0.19
123	J.Meireles	🇧🇷 BRAZIL	188	81.4%	0.26
124	J.Pacheco	🇧🇷 BRAZIL	188	81.4%	0.26
125	F.Trabelsi	🇹🇳 TUNISIA	123	81.3%	0.28
126	N.Kamal	🇮🇳 INDIA	116	81.0%	0.21
127	H.Sellami	🇹🇳 TUNISIA	131	80.9%	0.28
128	L.Menezes	🇧🇷 BRAZIL	190	80.5%	0.23
129	A.Vidigal	🇧🇷 BRAZIL	190	80.5%	0.23
130	M.Thakur	🇮🇳 INDIA	96	80.2%	0.22
131	D.Fletcher	🇹🇹 TRINIDAD & TOBAGO	119	79.8%	0.27
132	A.Xavier	🇹🇹 TRINIDAD & TOBAGO	119	79.8%	0.27
133	H.Dawson	🇦🇺 AUSTRALIA	119	77.3%	0.26
134	H.Pitt	🇦🇺 AUSTRALIA	119	77.3%	0.26
135	P.Crosse	🇿🇦 SOUTH AFRICA	130	76.9%	0.28
136	B.Hewitt	🇿🇦 SOUTH AFRICA	130	76.9%	0.28
137	K.Howard	🇹🇹 TRINIDAD & TOBAGO	117	76.1%	0.27
138	S.Parmanan	🇹🇹 TRINIDAD & TOBAGO	117	76.1%	0.27
139	R.Hai	🇵🇰 PAKISTAN	85	75.3%	0.31
140	Q.Dossa	🇵🇰 PAKISTAN	82	72.0%	0.34
141	J.Smith	🇨🇦 CANADA	67	85.1%	0.16

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	K.Dufrat	🇵🇱 POLAND	256	+0.09	+0.60	+0.68	·
2	J.Zmuda	🇵🇱 POLAND	256	+0.09	+0.60	+0.68	·
3	SHEN (1) Qi	🇨🇳 CHINA	240	+0.06	+0.58	+0.64	·
4	W.Wang	🇨🇳 CHINA	240	+0.06	+0.58	+0.64	·
5	I.Levitina	🇺🇸 USA 1	288	+0.07	+0.55	+0.62	▲2
6	K.Sanborn	🇺🇸 USA 1	288	+0.07	+0.55	+0.62	▲2
7	A.Fuglestad	🇳🇴 NORWAY	208	+0.01	+0.52	+0.52	▲4
8	M.Harding	🇳🇴 NORWAY	208	+0.01	+0.52	+0.52	▲4
9	L.Grude	🇳🇴 NORWAY	272	-0.04	+0.48	+0.45	▲8
10	B.Oigarden	🇳🇴 NORWAY	272	-0.04	+0.48	+0.45	▲8
11	V.Liu	🇹🇼 CHINESE TAIPEI	240	-0.01	+0.45	+0.44	▲10
12	M.Yang	🇹🇼 CHINESE TAIPEI	240	-0.01	+0.45	+0.44	▲10
13	N.Wang	🇨🇳 CHINA	240	-0.12	+0.56	+0.44	▼8
14	X.Zuo	🇨🇳 CHINA	240	-0.12	+0.56	+0.44	▼8
15	H.Dhondy	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	256	+0.03	+0.39	+0.42	▲12
16	N.Senior	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	256	+0.03	+0.39	+0.42	▲12
17	R.Kato(Ote)	🇯🇵 JAPAN	256	+0.25	+0.15	+0.40	▲51
18	A.Miyakuni	🇯🇵 JAPAN	256	+0.25	+0.15	+0.40	▲51
19	Y.Fukuyoshi	🇯🇵 JAPAN	256	-0.16	+0.55	+0.39	▼10
20	A.Yanagisawa	🇯🇵 JAPAN	256	-0.16	+0.55	+0.39	▼10
21	L.Deas	🇺🇸 USA 2	272	-0.05	+0.42	+0.37	▲2
22	J.Seamon-Molson	🇺🇸 USA 2	272	-0.05	+0.42	+0.37	▲2
23	I.Gronkvist	🇸🇪 SWEDEN	288	-0.01	+0.37	+0.36	▲8
24	C.Rimstedt	🇸🇪 SWEDEN	288	-0.01	+0.37	+0.36	▲8
25	W.Van Zwol	🇳🇱 NETHERLANDS	256	-0.14	+0.50	+0.36	▼12
26	M.Verbeek	🇳🇱 NETHERLANDS	256	-0.14	+0.50	+0.36	▼12
27	V.Bessis	🇫🇷 FRANCE	256	+0.11	+0.24	+0.35	▲21
28	C.Puillet	🇫🇷 FRANCE	256	+0.11	+0.24	+0.35	▲21
29	V.Reess	🇫🇷 FRANCE	240	+0.01	+0.34	+0.34	▲4
30	J.Zochowska	🇫🇷 FRANCE	240	+0.01	+0.34	+0.34	▲4
31	C.Baldysz	🇵🇱 POLAND	224	-0.15	+0.49	+0.34	▼16
32	S.Baldysz	🇵🇱 POLAND	224	-0.15	+0.49	+0.34	▼16
33	C.Draper	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	272	-0.06	+0.37	+0.32	▼4
34	G.Fawcett	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	272	-0.06	+0.37	+0.32	▼4
35	C.Gibbons	🇳🇿 NEW ZEALAND	240	-0.15	+0.47	+0.31	▼16
36	J.Gibbons	🇳🇿 NEW ZEALAND	240	-0.15	+0.47	+0.31	▼16
37	H.Kane	🏴󠁧󠁢󠁳󠁣󠁴󠁿 SCOTLAND	240	-0.10	+0.40	+0.30	▼12
38	A.Symons	🏴󠁧󠁢󠁳󠁣󠁴󠁿 SCOTLAND	240	-0.10	+0.40	+0.30	▼12
39	S.Clementsson	🇸🇪 SWEDEN	192	+0.03	+0.26	+0.30	▲6
40	E.Ovelius	🇸🇪 SWEDEN	192	+0.03	+0.26	+0.30	▲6
41	J.Pasman	🇳🇱 NETHERLANDS	240	+0.03	+0.24	+0.27	▲9
42	A.Simons	🇳🇱 NETHERLANDS	240	+0.03	+0.24	+0.27	▲9
43	P.Nisbet	🇨🇦 CANADA	320	+0.12	+0.14	+0.27	▲29
44	O.Pavlushko	🇷🇺 RUSSIA	256	+0.07	+0.20	+0.27	▲14
45	M.Yakovleva	🇷🇺 RUSSIA	256	+0.07	+0.20	+0.27	▲14
46	Y.Liu	🇨🇳 CHINA	256	-0.04	+0.30	+0.26	▼7
47	Y.Lu	🇨🇳 CHINA	256	-0.04	+0.30	+0.26	▼7
48	D.Kazmucha	🇵🇱 POLAND	256	+0.03	+0.23	+0.26	▲4
49	A.Sarniak	🇵🇱 POLAND	256	+0.03	+0.23	+0.26	▲4
50	E.Khonicheva	🇷🇺 RUSSIA	240	-0.05	+0.31	+0.26	▼15
51	D.Rakhmani	🇷🇺 RUSSIA	240	-0.05	+0.31	+0.26	▼15
52	S.Buus Thomsen	🇩🇰 DENMARK	256	+0.02	+0.22	+0.24	▲2
53	B.Houmoller	🇩🇰 DENMARK	256	+0.02	+0.22	+0.24	▲2
54	H.Koo	🇭🇰 CHINA HONG KONG	256	+0.04	+0.19	+0.23	▲6
55	W.Wong	🇭🇰 CHINA HONG KONG	256	+0.04	+0.19	+0.23	▲6
56	L.Baker	🇺🇸 USA 1	224	-0.09	+0.28	+0.19	▼15
57	K.Mccallum	🇺🇸 USA 1	224	-0.09	+0.28	+0.19	▼15
58	N.Smith	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	208	-0.10	+0.27	+0.17	▼15
59	Y.Wiseman	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	208	-0.10	+0.27	+0.17	▼15
60	B.Bryant	🇨🇦 CANADA	336	-0.02	+0.19	+0.17	▲2
61	T.Heskje	🇳🇴 NORWAY	256	-0.14	+0.31	+0.16	▼24
62	G.Vist	🇳🇴 NORWAY	256	-0.14	+0.31	+0.16	▼24
63	K.Bertheau	🇸🇪 SWEDEN	256	-0.03	+0.18	+0.14	·
64	J.Larsson	🇸🇪 SWEDEN	256	-0.03	+0.18	+0.14	·
65	C.Bernstein	🇺🇸 USA 2	192	-0.06	+0.20	+0.14	▼9
66	S.Wheeler	🇺🇸 USA 2	192	-0.06	+0.20	+0.14	▼9
67	M.Bruijnsteen	🇳🇱 NETHERLANDS	240	+0.01	+0.12	+0.13	▲6
68	L.Dekkers	🇳🇱 NETHERLANDS	240	+0.01	+0.12	+0.13	▲6
69	H.Wolpert	🇨🇦 CANADA	352	-0.12	+0.25	+0.13	▼22
70	S.Shi	🇺🇸 USA 1	224	-0.01	+0.12	+0.12	▲5
71	J.Stansby	🇺🇸 USA 1	224	-0.01	+0.12	+0.12	▲5
72	S.Blank	🇨🇦 CANADA	336	-0.07	+0.15	+0.08	▼5
73	L.Menezes	🇧🇷 BRAZIL	368	-0.06	+0.14	+0.08	▼3
74	A.Vidigal	🇧🇷 BRAZIL	368	-0.06	+0.14	+0.08	▼3
75	S.Newton	🇳🇿 NEW ZEALAND	256	-0.01	+0.07	+0.06	▲2
76	J.Wilkinson	🇳🇿 NEW ZEALAND	256	-0.01	+0.07	+0.06	▲2
77	T.Kaho	🇯🇵 JAPAN	224	-0.10	+0.15	+0.05	▼12
78	M.Sato	🇯🇵 JAPAN	224	-0.10	+0.15	+0.05	▼12
79	H.Eythorsdottir	🇺🇸 USA 2	272	+0.06	-0.01	+0.05	▲6
80	L.Lewis	🇺🇸 USA 2	272	+0.06	-0.01	+0.05	▲6
81	Y.Chen	🇹🇼 CHINESE TAIPEI	256	+0.01	+0.02	+0.04	▼2
82	Y.Lin	🇹🇼 CHINESE TAIPEI	256	+0.01	+0.02	+0.04	▼2
83	K.Hsiao	🇹🇼 CHINESE TAIPEI	240	-0.00	+0.02	+0.01	▼2
84	C.Lin	🇹🇼 CHINESE TAIPEI	240	-0.00	+0.02	+0.01	▼2
85	P.Leslie	🏴󠁧󠁢󠁳󠁣󠁴󠁿 SCOTLAND	256	+0.05	-0.04	+0.01	▲8
86	S.Punch	🏴󠁧󠁢󠁳󠁣󠁴󠁿 SCOTLAND	256	+0.05	-0.04	+0.01	▲8
87	J.Mourgues	🇫🇷 FRANCE	240	-0.03	-0.03	-0.05	▲2
88	A.Tartarin	🇫🇷 FRANCE	240	-0.03	-0.03	-0.05	▲2
89	A.Houlberg	🇩🇰 DENMARK	224	-0.04	-0.03	-0.07	▲2
90	C.Madsen	🇩🇰 DENMARK	224	-0.04	-0.03	-0.07	▲2
91	P.Batra	🇮🇳 INDIA	240	+0.06	-0.14	-0.08	▲6
92	L.Bilde	🇩🇰 DENMARK	256	-0.08	-0.02	-0.10	▼5
93	H.Rasmussen	🇩🇰 DENMARK	256	-0.08	-0.02	-0.10	▼5
94	T.Dikhnova	🇷🇺 RUSSIA	240	-0.10	-0.00	-0.10	▼11
95	V.Gromova	🇷🇺 RUSSIA	240	-0.10	-0.00	-0.10	▼11
96	F.Raza	🇵🇰 PAKISTAN	352	+0.05	-0.17	-0.13	▲2
97	T.Tang	🇭🇰 CHINA HONG KONG	256	-0.06	-0.08	-0.14	▼2
98	S.Tung	🇭🇰 CHINA HONG KONG	256	-0.06	-0.08	-0.14	▼2
99	G.Mundell	🇦🇺 AUSTRALIA	256	+0.11	-0.26	-0.15	▲6
100	A.Zets	🇦🇺 AUSTRALIA	256	+0.11	-0.26	-0.15	▲6
101	E.Mcgowan	🏴󠁧󠁢󠁳󠁣󠁴󠁿 SCOTLAND	240	+0.01	-0.18	-0.17	▼2
102	F.Mcquaker	🏴󠁧󠁢󠁳󠁣󠁴󠁿 SCOTLAND	240	+0.01	-0.18	-0.17	▼2
103	A.Sharma	🇮🇳 INDIA	272	+0.10	-0.29	-0.20	▲5
104	R.Agha	🇵🇰 PAKISTAN	304	+0.01	-0.26	-0.25	·
105	M.Thakur	🇮🇳 INDIA	208	+0.01	-0.27	-0.26	▲2
106	L.Ichilcik	🇦🇺 AUSTRALIA	240	+0.02	-0.34	-0.32	▲3
107	R.Kaplan	🇦🇺 AUSTRALIA	240	+0.02	-0.34	-0.32	▲3
108	F.Trabelsi	🇹🇳 TUNISIA	256	-0.11	-0.21	-0.32	▼7
109	H.Dawson	🇦🇺 AUSTRALIA	240	-0.07	-0.25	-0.32	▼7
110	H.Pitt	🇦🇺 AUSTRALIA	240	-0.07	-0.25	-0.32	▼7
111	N.Kamal	🇮🇳 INDIA	240	+0.06	-0.43	-0.37	▲1
112	H.Sellami	🇹🇳 TUNISIA	272	-0.09	-0.34	-0.43	▼1
113	N.Abid	🇵🇰 PAKISTAN	224	+0.02	-0.50	-0.48	·
114	J.Meireles	🇧🇷 BRAZIL	368	+0.07	-0.55	-0.48	·
115	J.Pacheco	🇧🇷 BRAZIL	368	+0.07	-0.55	-0.48	·
116	P.Howard	🇹🇹 TRINIDAD & TOBAGO	256	+0.04	-0.59	-0.54	·
117	D.Josa	🇹🇹 TRINIDAD & TOBAGO	256	+0.04	-0.59	-0.54	·
118	D.Rosslee	🇿🇦 SOUTH AFRICA	256	+0.17	-0.72	-0.55	▲8
119	C.Stanton	🇿🇦 SOUTH AFRICA	256	+0.17	-0.72	-0.55	▲8
120	R.Bakeri	🇮🇳 INDIA	256	+0.02	-0.62	-0.60	▼2
121	A.Kshirsagar	🇮🇳 INDIA	256	+0.02	-0.62	-0.60	▼2
122	Q.Dossa	🇵🇰 PAKISTAN	176	+0.16	-0.78	-0.62	▲8
123	C.Booth	🇭🇰 CHINA HONG KONG	224	+0.05	-0.67	-0.63	▼2
124	P.Chan	🇭🇰 CHINA HONG KONG	224	+0.05	-0.67	-0.63	▼2
125	R.Hai	🇵🇰 PAKISTAN	176	+0.17	-0.82	-0.65	▲6
126	S.Pirzada	🇵🇰 PAKISTAN	240	+0.02	-0.67	-0.66	▼6
127	P.Crosse	🇿🇦 SOUTH AFRICA	240	-0.02	-0.69	-0.71	▼4
128	B.Hewitt	🇿🇦 SOUTH AFRICA	240	-0.02	-0.69	-0.71	▼4
129	N.Sfar	🇹🇳 TUNISIA	224	-0.02	-0.70	-0.72	▼4
130	V.Armstrong	🇿🇦 SOUTH AFRICA	240	+0.02	-0.74	-0.72	▼2
131	T.Rawson	🇿🇦 SOUTH AFRICA	240	+0.02	-0.74	-0.72	▼2
132	L.Cartner	🇳🇿 NEW ZEALAND	240	+0.21	-0.98	-0.78	▲3
133	G.Palmer	🇳🇿 NEW ZEALAND	240	+0.21	-0.98	-0.78	▲3
134	M.Dorai	🇹🇳 TUNISIA	224	+0.10	-0.89	-0.79	▼1
135	A.Daldoul	🇹🇳 TUNISIA	240	+0.09	-0.93	-0.84	▼1
136	H.Baccar	🇹🇳 TUNISIA	256	-0.00	-0.85	-0.85	▼4
137	D.Fletcher	🇹🇹 TRINIDAD & TOBAGO	240	+0.09	-0.99	-0.90	·
138	A.Xavier	🇹🇹 TRINIDAD & TOBAGO	240	+0.09	-0.99	-0.90	·
139	K.Howard	🇹🇹 TRINIDAD & TOBAGO	240	+0.02	-1.13	-1.11	·
140	S.Parmanan	🇹🇹 TRINIDAD & TOBAGO	240	+0.02	-1.13	-1.11	·

Stages

Statistics