Lille 2012 — 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	A.Kaminski	🇮🇱 ISRAEL	176	+1.27	+223.0
2	A.Schwartz	🇮🇱 ISRAEL	176	+1.27	+223.0
3	M.Elinescu	🇩🇪 GERMANY	176	+1.17	+206.0
4	E.Wladow	🇩🇪 GERMANY	176	+1.17	+206.0
5	P.Grenthe	🇫🇷 FRANCE	192	+0.99	+191.0
6	P.Vanhoutte	🇫🇷 FRANCE	192	+0.99	+191.0
7	J.Choo	🇸🇬 SINGAPORE	144	+0.95	+137.0
8	D.Price	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	192	+0.89	+170.0
9	C.Simpson	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	192	+0.89	+170.0
10	J.Carruthers	🇨🇦 CANADA	192	+0.80	+153.0
11	J.Silver	🇨🇦 CANADA	192	+0.80	+153.0
12	F.Leenhardt	🇫🇷 FRANCE	160	+0.71	+113.0
13	P.Piganeau	🇫🇷 FRANCE	160	+0.71	+113.0
14	F.Bigdeli	🇧🇪 BELGIUM	192	+0.64	+122.0
15	H.Janssens	🇧🇪 BELGIUM	192	+0.64	+122.0
16	H.Lasut	🇮🇩 INDONESIA	192	+0.63	+121.0
17	E.Manoppo	🇮🇩 INDONESIA	192	+0.63	+121.0
18	G.Gaspar	🇦🇺 AUSTRALIA	160	+0.61	+98.0
19	B.Richman	🇦🇺 AUSTRALIA	160	+0.61	+98.0
20	G.Chai	🇸🇬 SINGAPORE	160	+0.61	+98.0
21	G.Driver	🇿🇦 SOUTH AFRICA	176	+0.59	+103.0
22	K.Driver	🇿🇦 SOUTH AFRICA	176	+0.59	+103.0
23	K.Fu	🇭🇰 CHINA HONG KONG	160	+0.51	+82.0
24	A.Leigh	🇭🇰 CHINA HONG KONG	160	+0.51	+82.0
25	A.Mukherjee	🇮🇳 INDIA	176	+0.39	+68.0
26	K.Mukherjee	🇮🇳 INDIA	176	+0.39	+68.0
27	P.Choy	🇸🇬 SINGAPORE	176	+0.27	+47.0
28	O.Ekinci	🇹🇷 TURKEY	256	+0.23	+58.0
29	F.Falay	🇹🇷 TURKEY	256	+0.23	+58.0
30	A.Djajanegara	🇮🇩 INDONESIA	176	+0.22	+39.0
31	D.Tuerah	🇮🇩 INDONESIA	176	+0.22	+39.0
32	M.Ghamrawy	🇪🇬 EGYPT	192	+0.21	+41.0
33	M.Kamel	🇪🇬 EGYPT	192	+0.21	+41.0
34	A.Tan	🇸🇬 SINGAPORE	192	+0.17	+32.0
35	R.Ling	🇭🇰 CHINA HONG KONG	192	+0.14	+26.0
36	E.Tse	🇭🇰 CHINA HONG KONG	192	+0.14	+26.0
37	P.Romik	🇮🇱 ISRAEL	176	+0.11	+19.0
38	S.Zeligman	🇮🇱 ISRAEL	176	+0.11	+19.0
39	U.Kratz	🇩🇪 GERMANY	160	+0.04	+6.0
40	B.Strater	🇩🇪 GERMANY	160	+0.04	+6.0
41	J.Guoba	🇨🇦 CANADA	160	+0.03	+5.0
42	M.Kirr	🇨🇦 CANADA	160	+0.03	+5.0
43	P.Gangal	🇮🇳 INDIA	192	-0.01	-2.0
44	S.Gupta	🇮🇳 INDIA	192	-0.01	-2.0
45	P.Hackett	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	160	-0.04	-7.0
46	T.Waterlow	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	160	-0.04	-7.0
47	A.De Livera	🇦🇺 AUSTRALIA	176	-0.05	-9.0
48	B.Neill	🇦🇺 AUSTRALIA	176	-0.05	-9.0
49	R.Marsal	🇩🇪 GERMANY	176	-0.11	-19.0
50	U.Wenning	🇩🇪 GERMANY	176	-0.11	-19.0
51	M.Aloi	🇧🇷 BRAZIL	240	-0.12	-28.0
52	G.Chagas	🇧🇷 BRAZIL	240	-0.12	-28.0
53	J.Murdoch	🏴󠁧󠁢󠁳󠁣󠁴󠁿 SCOTLAND	176	-0.12	-22.0
54	I.Sime	🏴󠁧󠁢󠁳󠁣󠁴󠁿 SCOTLAND	176	-0.12	-22.0
55	M.Copur	🇹🇷 TURKEY	256	-0.13	-33.0
56	C.Gebeceli	🇹🇷 TURKEY	256	-0.13	-33.0
57	M.Adly	🇪🇬 EGYPT	144	-0.13	-19.0
58	W.Haughie	🇦🇺 AUSTRALIA	176	-0.14	-24.0
59	R.Klinger	🇦🇺 AUSTRALIA	176	-0.14	-24.0
60	M.Hartono	🇮🇩 INDONESIA	144	-0.15	-21.0
61	M.Sawiruddin	🇮🇩 INDONESIA	144	-0.15	-21.0
62	A.Goodman	🏴󠁧󠁢󠁳󠁣󠁴󠁿 SCOTLAND	176	-0.18	-32.0
63	B.Short	🏴󠁧󠁢󠁳󠁣󠁴󠁿 SCOTLAND	176	-0.18	-32.0
64	W.Coyle	🏴󠁧󠁢󠁳󠁣󠁴󠁿 SCOTLAND	160	-0.21	-34.0
65	J.Matheson	🏴󠁧󠁢󠁳󠁣󠁴󠁿 SCOTLAND	160	-0.21	-34.0
66	G.Hallberg	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	160	-0.27	-43.0
67	J.Holland	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	160	-0.27	-43.0
68	A.Magalhaes	🇧🇷 BRAZIL	128	-0.29	-37.0
69	P.Molina	🇲🇦 MOROCCO	176	-0.30	-52.0
70	R.Yans	🇲🇦 MOROCCO	176	-0.30	-52.0
71	L.Samie	🇪🇬 EGYPT	160	-0.31	-49.0
72	K.Bensouda	🇲🇦 MOROCCO	176	-0.43	-76.0
73	A.Cadi Tazi	🇲🇦 MOROCCO	176	-0.43	-76.0
74	J.Dorfan	🇿🇦 SOUTH AFRICA	160	-0.46	-73.0
75	N.Vorster	🇿🇦 SOUTH AFRICA	160	-0.46	-73.0
76	J.Rayner	🇨🇦 CANADA	160	-0.47	-75.0
77	M.Roche	🇨🇦 CANADA	160	-0.47	-75.0
78	J.Stas	🇧🇪 BELGIUM	208	-0.48	-100.0
79	P.Mandelot	🇧🇷 BRAZIL	144	-0.52	-75.0
80	G.Lasserre	🇫🇷 FRANCE	160	-0.53	-84.0
81	P.Poizat	🇫🇷 FRANCE	160	-0.53	-84.0
82	D.Birman	🇮🇱 ISRAEL	160	-0.53	-84.0
83	D.Birman	🇮🇱 ISRAEL	160	-0.53	-84.0
84	D.Johnson	🇧🇪 BELGIUM	128	-0.59	-76.0
85	K.Fung	🇭🇰 CHINA HONG KONG	160	-0.61	-97.0
86	H.Lam	🇭🇰 CHINA HONG KONG	160	-0.61	-97.0
87	M.Hooda	🇮🇳 INDIA	144	-0.65	-93.0
88	A.Vaidya	🇮🇳 INDIA	144	-0.65	-93.0
89	L.Rocha	🇧🇷 BRAZIL	128	-0.68	-87.0
90	A.El Askalani	🇪🇬 EGYPT	160	-0.81	-130.0
91	R.Amoedo	🇧🇷 BRAZIL	144	-0.87	-125.0
92	R.Benzakour	🇲🇦 MOROCCO	160	-0.91	-145.0
93	L.Kabbaj	🇲🇦 MOROCCO	160	-0.91	-145.0
94	M.Khedr	🇪🇬 EGYPT	176	-0.91	-160.0
95	V.Bloom	🇿🇦 SOUTH AFRICA	176	-0.92	-162.0
96	A.Nestoridis	🇿🇦 SOUTH AFRICA	176	-0.92	-162.0
97	J.Lafourcade	🇧🇪 BELGIUM	192	-0.95	-182.0
98	Y.Tan	🇸🇬 SINGAPORE	160	-1.00	-160.0
99	HENG A. K.	🇸🇬 SINGAPORE	192	-1.11	-214.0
100	J.Henri	🇧🇪 BELGIUM	112	-1.41	-158.0

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	J.Silver	🇨🇦 CANADA	37	94.6%	0.08
2	T.Waterlow	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	33	93.9%	0.06
3	C.Simpson	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	49	91.8%	0.08
4	H.Janssens	🇧🇪 BELGIUM	36	91.7%	0.08
5	K.Fung	🇭🇰 CHINA HONG KONG	42	90.5%	0.14
6	M.Aloi	🇧🇷 BRAZIL	75	89.3%	0.12
7	G.Lasserre	🇫🇷 FRANCE	27	88.9%	0.11
8	L.Rocha	🇧🇷 BRAZIL	35	88.6%	0.11
9	J.Stas	🇧🇪 BELGIUM	52	88.5%	0.19
10	E.Manoppo	🇮🇩 INDONESIA	51	88.2%	0.16
11	S.Gupta	🇮🇳 INDIA	49	87.8%	0.14
12	K.Fu	🇭🇰 CHINA HONG KONG	43	86.0%	0.14
13	O.Ekinci	🇹🇷 TURKEY	57	86.0%	0.16
14	A.Tan	🇸🇬 SINGAPORE	43	86.0%	0.16
15	I.Sime	🏴󠁧󠁢󠁳󠁣󠁴󠁿 SCOTLAND	35	85.7%	0.14
16	W.Haughie	🇦🇺 AUSTRALIA	35	85.7%	0.17
17	A.El Askalani	🇪🇬 EGYPT	34	85.3%	0.15
18	M.Khedr	🇪🇬 EGYPT	54	85.2%	0.15
19	E.Wladow	🇩🇪 GERMANY	47	85.1%	0.15
20	G.Chagas	🇧🇷 BRAZIL	47	85.1%	0.21
21	H.Lasut	🇮🇩 INDONESIA	53	84.9%	0.19
22	R.Amoedo	🇧🇷 BRAZIL	33	84.8%	0.21
23	P.Poizat	🇫🇷 FRANCE	45	84.4%	0.22
24	P.Molina	🇲🇦 MOROCCO	57	84.2%	0.19
25	Y.Tan	🇸🇬 SINGAPORE	44	84.1%	0.16
26	E.Tse	🇭🇰 CHINA HONG KONG	44	84.1%	0.25
27	K.Driver	🇿🇦 SOUTH AFRICA	49	83.7%	0.20
28	A.Kaminski	🇮🇱 ISRAEL	43	83.7%	0.21
29	F.Leenhardt	🇫🇷 FRANCE	48	83.3%	0.17
30	W.Coyle	🏴󠁧󠁢󠁳󠁣󠁴󠁿 SCOTLAND	42	83.3%	0.17
31	A.Goodman	🏴󠁧󠁢󠁳󠁣󠁴󠁿 SCOTLAND	42	83.3%	0.17
32	A.Cadi Tazi	🇲🇦 MOROCCO	48	83.3%	0.19
33	U.Wenning	🇩🇪 GERMANY	48	83.3%	0.21
34	B.Richman	🇦🇺 AUSTRALIA	36	83.3%	0.22
35	R.Klinger	🇦🇺 AUSTRALIA	47	83.0%	0.21
36	A.De Livera	🇦🇺 AUSTRALIA	47	83.0%	0.23
37	K.Bensouda	🇲🇦 MOROCCO	52	82.7%	0.19
38	K.Mukherjee	🇮🇳 INDIA	46	82.6%	0.24
39	A.Schwartz	🇮🇱 ISRAEL	40	82.5%	0.17
40	J.Choo	🇸🇬 SINGAPORE	40	82.5%	0.17
41	B.Short	🏴󠁧󠁢󠁳󠁣󠁴󠁿 SCOTLAND	40	82.5%	0.23
42	G.Driver	🇿🇦 SOUTH AFRICA	51	82.4%	0.23
43	P.Gangal	🇮🇳 INDIA	45	82.2%	0.18
44	D.Tuerah	🇮🇩 INDONESIA	45	82.2%	0.22
45	J.Rayner	🇨🇦 CANADA	39	82.1%	0.26
46	A.Nestoridis	🇿🇦 SOUTH AFRICA	50	82.0%	0.18
47	J.Carruthers	🇨🇦 CANADA	55	81.8%	0.24
48	F.Bigdeli	🇧🇪 BELGIUM	60	81.7%	0.18
49	J.Lafourcade	🇧🇪 BELGIUM	38	81.6%	0.18
50	M.Elinescu	🇩🇪 GERMANY	43	81.4%	0.19
51	A.Djajanegara	🇮🇩 INDONESIA	48	81.2%	0.19
52	P.Choy	🇸🇬 SINGAPORE	57	80.7%	0.25
53	A.Vaidya	🇮🇳 INDIA	36	80.6%	0.19
54	A.Leigh	🇭🇰 CHINA HONG KONG	31	80.6%	0.23
55	M.Roche	🇨🇦 CANADA	40	80.0%	0.20
56	G.Gaspar	🇦🇺 AUSTRALIA	40	80.0%	0.23
57	G.Chai	🇸🇬 SINGAPORE	25	80.0%	0.24
58	R.Ling	🇭🇰 CHINA HONG KONG	60	80.0%	0.25
59	P.Grenthe	🇫🇷 FRANCE	35	80.0%	0.26
60	M.Ghamrawy	🇪🇬 EGYPT	58	79.3%	0.26
61	J.Dorfan	🇿🇦 SOUTH AFRICA	38	78.9%	0.26
62	N.Vorster	🇿🇦 SOUTH AFRICA	33	78.8%	0.21
63	L.Kabbaj	🇲🇦 MOROCCO	42	78.6%	0.21
64	D.Birman	🇮🇱 ISRAEL	28	78.6%	0.25
65	R.Benzakour	🇲🇦 MOROCCO	37	78.4%	0.32
66	R.Marsal	🇩🇪 GERMANY	37	78.4%	0.35
67	P.Hackett	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	46	78.3%	0.24
68	C.Gebeceli	🇹🇷 TURKEY	64	78.1%	0.22
69	D.Johnson	🇧🇪 BELGIUM	36	77.8%	0.22
70	A.Mukherjee	🇮🇳 INDIA	45	77.8%	0.27
71	P.Mandelot	🇧🇷 BRAZIL	40	77.5%	0.25
72	J.Holland	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	44	77.3%	0.27
73	M.Copur	🇹🇷 TURKEY	57	77.2%	0.26
74	F.Falay	🇹🇷 TURKEY	70	77.1%	0.27
75	J.Henri	🇧🇪 BELGIUM	39	76.9%	0.26
76	M.Adly	🇪🇬 EGYPT	26	76.9%	0.27
77	D.Price	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	43	76.7%	0.37
78	P.Vanhoutte	🇫🇷 FRANCE	51	76.5%	0.29
79	D.Birman	🇮🇱 ISRAEL	46	76.1%	0.28
80	H.Lam	🇭🇰 CHINA HONG KONG	46	76.1%	0.33
81	B.Strater	🇩🇪 GERMANY	29	75.9%	0.28
82	V.Bloom	🇿🇦 SOUTH AFRICA	37	75.7%	0.24
83	G.Hallberg	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	37	75.7%	0.32
84	U.Kratz	🇩🇪 GERMANY	45	75.6%	0.24
85	L.Samie	🇪🇬 EGYPT	45	75.6%	0.31
86	P.Romik	🇮🇱 ISRAEL	36	75.0%	0.36
87	P.Piganeau	🇫🇷 FRANCE	39	74.4%	0.28
88	J.Murdoch	🏴󠁧󠁢󠁳󠁣󠁴󠁿 SCOTLAND	50	74.0%	0.26
89	HENG A. K.	🇸🇬 SINGAPORE	38	73.7%	0.34
90	S.Zeligman	🇮🇱 ISRAEL	53	73.6%	0.32
91	A.Magalhaes	🇧🇷 BRAZIL	26	73.1%	0.31
92	B.Neill	🇦🇺 AUSTRALIA	52	73.1%	0.35
93	M.Kamel	🇪🇬 EGYPT	25	72.0%	0.36
94	J.Guoba	🇨🇦 CANADA	39	71.8%	0.36
95	M.Hooda	🇮🇳 INDIA	37	70.3%	0.38
96	M.Kirr	🇨🇦 CANADA	49	69.4%	0.35
97	J.Matheson	🏴󠁧󠁢󠁳󠁣󠁴󠁿 SCOTLAND	36	69.4%	0.36
98	R.Yans	🇲🇦 MOROCCO	29	69.0%	0.34
99	M.Hartono	🇮🇩 INDONESIA	42	64.3%	0.43
100	M.Sawiruddin	🇮🇩 INDONESIA	28	60.7%	0.50

Declarer-play accuracy↑ top

How often declarer took at least the double-dummy makeable tricks after the actual opening lead — i.e. didn’t leave tricks on the table. Players with few boards are greyed. Click a column header to sort; filter by name or team.

#	Player	Team	Contracts	On target	Conceded
1	W.Coyle	🏴󠁧󠁢󠁳󠁣󠁴󠁿 SCOTLAND	36	91.7%	0.08
2	U.Kratz	🇩🇪 GERMANY	44	90.9%	0.11
3	P.Poizat	🇫🇷 FRANCE	41	87.8%	0.15
4	J.Murdoch	🏴󠁧󠁢󠁳󠁣󠁴󠁿 SCOTLAND	45	86.7%	0.13
5	F.Leenhardt	🇫🇷 FRANCE	37	86.5%	0.14
6	A.De Livera	🇦🇺 AUSTRALIA	34	85.3%	0.21
7	P.Vanhoutte	🇫🇷 FRANCE	61	85.2%	0.16
8	C.Simpson	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	53	84.9%	0.19
9	M.Kirr	🇨🇦 CANADA	33	84.8%	0.24
10	Y.Tan	🇸🇬 SINGAPORE	32	84.4%	0.16
11	D.Birman	🇮🇱 ISRAEL	51	84.3%	0.20
12	E.Wladow	🇩🇪 GERMANY	49	83.7%	0.22
13	S.Zeligman	🇮🇱 ISRAEL	47	83.0%	0.26
14	P.Piganeau	🇫🇷 FRANCE	35	82.9%	0.26
15	A.Leigh	🇭🇰 CHINA HONG KONG	38	81.6%	0.29
16	K.Fu	🇭🇰 CHINA HONG KONG	48	81.2%	0.23
17	G.Chai	🇸🇬 SINGAPORE	53	81.1%	0.26
18	D.Johnson	🇧🇪 BELGIUM	26	80.8%	0.27
19	B.Richman	🇦🇺 AUSTRALIA	36	80.6%	0.22
20	E.Tse	🇭🇰 CHINA HONG KONG	55	80.0%	0.26
21	A.Schwartz	🇮🇱 ISRAEL	59	79.7%	0.20
22	P.Grenthe	🇫🇷 FRANCE	44	79.5%	0.25
23	H.Lasut	🇮🇩 INDONESIA	58	79.3%	0.24
24	J.Choo	🇸🇬 SINGAPORE	33	78.8%	0.27
25	A.Tan	🇸🇬 SINGAPORE	47	78.7%	0.28
26	G.Driver	🇿🇦 SOUTH AFRICA	47	78.7%	0.30
27	M.Kamel	🇪🇬 EGYPT	70	78.6%	0.26
28	U.Wenning	🇩🇪 GERMANY	42	78.6%	0.29
29	D.Price	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	46	78.3%	0.33
30	B.Short	🏴󠁧󠁢󠁳󠁣󠁴󠁿 SCOTLAND	50	78.0%	0.26
31	M.Roche	🇨🇦 CANADA	41	78.0%	0.34
32	V.Bloom	🇿🇦 SOUTH AFRICA	39	76.9%	0.26
33	S.Gupta	🇮🇳 INDIA	52	76.9%	0.33
34	R.Amoedo	🇧🇷 BRAZIL	34	76.5%	0.35
35	W.Haughie	🇦🇺 AUSTRALIA	42	76.2%	0.26
36	G.Chagas	🇧🇷 BRAZIL	71	76.1%	0.31
37	R.Ling	🇭🇰 CHINA HONG KONG	33	75.8%	0.36
38	J.Holland	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	33	75.8%	0.39
39	P.Hackett	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	45	75.6%	0.36
40	R.Marsal	🇩🇪 GERMANY	48	75.0%	0.29
41	D.Tuerah	🇮🇩 INDONESIA	36	75.0%	0.31
42	A.Vaidya	🇮🇳 INDIA	32	75.0%	0.34
43	F.Falay	🇹🇷 TURKEY	63	74.6%	0.38
44	B.Neill	🇦🇺 AUSTRALIA	43	74.4%	0.30
45	J.Matheson	🏴󠁧󠁢󠁳󠁣󠁴󠁿 SCOTLAND	45	73.3%	0.36
46	M.Sawiruddin	🇮🇩 INDONESIA	30	73.3%	0.40
47	O.Ekinci	🇹🇷 TURKEY	63	73.0%	0.35
48	P.Romik	🇮🇱 ISRAEL	37	73.0%	0.41
49	F.Bigdeli	🇧🇪 BELGIUM	55	72.7%	0.29
50	A.Kaminski	🇮🇱 ISRAEL	33	72.7%	0.33
51	HENG A. K.	🇸🇬 SINGAPORE	62	72.6%	0.32
52	P.Molina	🇲🇦 MOROCCO	40	72.5%	0.35
53	K.Mukherjee	🇮🇳 INDIA	47	72.3%	0.30
54	T.Waterlow	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	36	72.2%	0.36
55	G.Hallberg	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	46	71.7%	0.30
56	M.Copur	🇹🇷 TURKEY	63	71.4%	0.35
57	A.Magalhaes	🇧🇷 BRAZIL	42	71.4%	0.41
58	R.Benzakour	🇲🇦 MOROCCO	48	70.8%	0.38
59	B.Strater	🇩🇪 GERMANY	41	70.7%	0.34
60	A.El Askalani	🇪🇬 EGYPT	41	70.7%	0.41
61	M.Hartono	🇮🇩 INDONESIA	44	70.5%	0.41
62	R.Yans	🇲🇦 MOROCCO	49	69.4%	0.41
63	M.Ghamrawy	🇪🇬 EGYPT	39	69.2%	0.33
64	P.Mandelot	🇧🇷 BRAZIL	26	69.2%	0.35
65	J.Carruthers	🇨🇦 CANADA	42	69.0%	0.45
66	G.Lasserre	🇫🇷 FRANCE	45	68.9%	0.33
67	M.Khedr	🇪🇬 EGYPT	38	68.4%	0.34
68	J.Silver	🇨🇦 CANADA	57	68.4%	0.35
69	A.Goodman	🏴󠁧󠁢󠁳󠁣󠁴󠁿 SCOTLAND	41	68.3%	0.41
70	M.Adly	🇪🇬 EGYPT	56	67.9%	0.36
71	M.Hooda	🇮🇳 INDIA	37	67.6%	0.46
72	A.Cadi Tazi	🇲🇦 MOROCCO	30	66.7%	0.40
73	P.Gangal	🇮🇳 INDIA	45	66.7%	0.42
74	D.Birman	🇮🇱 ISRAEL	33	66.7%	0.42
75	R.Klinger	🇦🇺 AUSTRALIA	51	66.7%	0.45
76	L.Rocha	🇧🇷 BRAZIL	33	66.7%	0.46
77	J.Henri	🇧🇪 BELGIUM	24	66.7%	0.46
78	E.Manoppo	🇮🇩 INDONESIA	30	66.7%	0.47
79	K.Bensouda	🇲🇦 MOROCCO	45	66.7%	0.49
80	C.Gebeceli	🇹🇷 TURKEY	71	66.2%	0.44
81	J.Guoba	🇨🇦 CANADA	38	65.8%	0.42
82	J.Dorfan	🇿🇦 SOUTH AFRICA	52	65.4%	0.48
83	J.Rayner	🇨🇦 CANADA	37	64.9%	0.41
84	J.Stas	🇧🇪 BELGIUM	48	64.6%	0.58
85	G.Gaspar	🇦🇺 AUSTRALIA	45	64.4%	0.47
86	M.Elinescu	🇩🇪 GERMANY	36	63.9%	0.39
87	N.Vorster	🇿🇦 SOUTH AFRICA	36	63.9%	0.53
88	L.Kabbaj	🇲🇦 MOROCCO	30	63.3%	0.40
89	J.Lafourcade	🇧🇪 BELGIUM	49	63.3%	0.47
90	A.Mukherjee	🇮🇳 INDIA	38	63.2%	0.40
91	A.Djajanegara	🇮🇩 INDONESIA	47	61.7%	0.49
92	H.Lam	🇭🇰 CHINA HONG KONG	39	61.5%	0.44
93	A.Nestoridis	🇿🇦 SOUTH AFRICA	49	61.2%	0.61
94	H.Janssens	🇧🇪 BELGIUM	41	61.0%	0.49
95	I.Sime	🏴󠁧󠁢󠁳󠁣󠁴󠁿 SCOTLAND	45	60.0%	0.49
96	P.Choy	🇸🇬 SINGAPORE	36	58.3%	0.53
97	M.Aloi	🇧🇷 BRAZIL	45	57.8%	0.51
98	K.Fung	🇭🇰 CHINA HONG KONG	31	54.8%	0.65
99	L.Samie	🇪🇬 EGYPT	25	52.0%	0.64
100	K.Driver	🇿🇦 SOUTH AFRICA	27	51.9%	0.81

Defensive accuracy↑ top

How often the defenders held declarer to the double-dummy makeable (or fewer) — charged to both defenders on the board. Players with few boards are greyed. Click a column header to sort; filter by name or team.

#	Player	Team	Boards	On target	Conceded
1	H.Lasut	🇮🇩 INDONESIA	104	95.2%	0.05
2	E.Manoppo	🇮🇩 INDONESIA	104	95.2%	0.05
3	G.Hallberg	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	81	92.6%	0.14
4	J.Holland	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	81	92.6%	0.14
5	P.Romik	🇮🇱 ISRAEL	89	92.1%	0.10
6	S.Zeligman	🇮🇱 ISRAEL	89	92.1%	0.10
7	M.Elinescu	🇩🇪 GERMANY	90	91.1%	0.09
8	E.Wladow	🇩🇪 GERMANY	90	91.1%	0.09
9	J.Rayner	🇨🇦 CANADA	79	91.1%	0.10
10	M.Roche	🇨🇦 CANADA	79	91.1%	0.10
11	J.Carruthers	🇨🇦 CANADA	92	90.2%	0.11
12	J.Silver	🇨🇦 CANADA	92	90.2%	0.11
13	A.De Livera	🇦🇺 AUSTRALIA	99	89.9%	0.12
14	B.Neill	🇦🇺 AUSTRALIA	99	89.9%	0.12
15	F.Bigdeli	🇧🇪 BELGIUM	96	89.6%	0.14
16	H.Janssens	🇧🇪 BELGIUM	96	89.6%	0.14
17	A.Goodman	🏴󠁧󠁢󠁳󠁣󠁴󠁿 SCOTLAND	82	89.0%	0.13
18	B.Short	🏴󠁧󠁢󠁳󠁣󠁴󠁿 SCOTLAND	82	89.0%	0.13
19	M.Ghamrawy	🇪🇬 EGYPT	83	88.0%	0.12
20	M.Kamel	🇪🇬 EGYPT	83	88.0%	0.12
21	D.Price	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	92	88.0%	0.16
22	C.Simpson	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	92	88.0%	0.16
23	J.Guoba	🇨🇦 CANADA	88	87.5%	0.17
24	M.Kirr	🇨🇦 CANADA	88	87.5%	0.17
25	W.Coyle	🏴󠁧󠁢󠁳󠁣󠁴󠁿 SCOTLAND	78	87.2%	0.17
26	J.Matheson	🏴󠁧󠁢󠁳󠁣󠁴󠁿 SCOTLAND	78	87.2%	0.17
27	M.Hartono	🇮🇩 INDONESIA	70	87.1%	0.27
28	M.Sawiruddin	🇮🇩 INDONESIA	70	87.1%	0.27
29	A.Kaminski	🇮🇱 ISRAEL	83	86.7%	0.17
30	A.Schwartz	🇮🇱 ISRAEL	83	86.7%	0.17
31	A.El Askalani	🇪🇬 EGYPT	82	86.6%	0.16
32	G.Lasserre	🇫🇷 FRANCE	72	86.1%	0.22
33	P.Poizat	🇫🇷 FRANCE	72	86.1%	0.22
34	A.Djajanegara	🇮🇩 INDONESIA	93	86.0%	0.23
35	D.Tuerah	🇮🇩 INDONESIA	93	86.0%	0.23
36	J.Murdoch	🏴󠁧󠁢󠁳󠁣󠁴󠁿 SCOTLAND	85	85.9%	0.14
37	I.Sime	🏴󠁧󠁢󠁳󠁣󠁴󠁿 SCOTLAND	85	85.9%	0.14
38	G.Gaspar	🇦🇺 AUSTRALIA	76	85.5%	0.22
39	B.Richman	🇦🇺 AUSTRALIA	76	85.5%	0.22
40	M.Khedr	🇪🇬 EGYPT	88	85.2%	0.18
41	M.Copur	🇹🇷 TURKEY	121	85.1%	0.17
42	C.Gebeceli	🇹🇷 TURKEY	121	85.1%	0.17
43	U.Kratz	🇩🇪 GERMANY	74	85.1%	0.19
44	B.Strater	🇩🇪 GERMANY	74	85.1%	0.19
45	O.Ekinci	🇹🇷 TURKEY	127	85.0%	0.16
46	F.Falay	🇹🇷 TURKEY	127	85.0%	0.16
47	P.Grenthe	🇫🇷 FRANCE	86	84.9%	0.20
48	P.Vanhoutte	🇫🇷 FRANCE	86	84.9%	0.20
49	P.Hackett	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	79	84.8%	0.19
50	T.Waterlow	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	79	84.8%	0.19
51	J.Lafourcade	🇧🇪 BELGIUM	101	84.2%	0.22
52	J.Henri	🇧🇪 BELGIUM	57	84.2%	0.26
53	P.Gangal	🇮🇳 INDIA	94	84.0%	0.20
54	S.Gupta	🇮🇳 INDIA	94	84.0%	0.20
55	R.Ling	🇭🇰 CHINA HONG KONG	104	83.7%	0.19
56	E.Tse	🇭🇰 CHINA HONG KONG	104	83.7%	0.19
57	P.Molina	🇲🇦 MOROCCO	86	83.7%	0.27
58	R.Yans	🇲🇦 MOROCCO	86	83.7%	0.27
59	M.Adly	🇪🇬 EGYPT	71	83.1%	0.23
60	F.Leenhardt	🇫🇷 FRANCE	87	82.8%	0.26
61	P.Piganeau	🇫🇷 FRANCE	87	82.8%	0.26
62	J.Stas	🇧🇪 BELGIUM	108	82.4%	0.18
63	R.Marsal	🇩🇪 GERMANY	85	82.4%	0.21
64	U.Wenning	🇩🇪 GERMANY	85	82.4%	0.21
65	D.Birman	🇮🇱 ISRAEL	74	82.4%	0.22
66	D.Birman	🇮🇱 ISRAEL	74	82.4%	0.22
67	L.Samie	🇪🇬 EGYPT	77	81.8%	0.25
68	W.Haughie	🇦🇺 AUSTRALIA	82	81.7%	0.21
69	R.Klinger	🇦🇺 AUSTRALIA	82	81.7%	0.21
70	J.Dorfan	🇿🇦 SOUTH AFRICA	71	81.7%	0.23
71	N.Vorster	🇿🇦 SOUTH AFRICA	71	81.7%	0.23
72	D.Johnson	🇧🇪 BELGIUM	64	81.2%	0.20
73	K.Fu	🇭🇰 CHINA HONG KONG	74	81.1%	0.24
74	A.Leigh	🇭🇰 CHINA HONG KONG	74	81.1%	0.24
75	M.Aloi	🇧🇷 BRAZIL	122	81.1%	0.26
76	G.Chagas	🇧🇷 BRAZIL	122	81.1%	0.26
77	R.Benzakour	🇲🇦 MOROCCO	79	81.0%	0.29
78	L.Kabbaj	🇲🇦 MOROCCO	79	81.0%	0.29
79	A.Mukherjee	🇮🇳 INDIA	91	80.2%	0.21
80	K.Mukherjee	🇮🇳 INDIA	91	80.2%	0.21
81	K.Bensouda	🇲🇦 MOROCCO	100	79.0%	0.27
82	A.Cadi Tazi	🇲🇦 MOROCCO	100	79.0%	0.27
83	V.Bloom	🇿🇦 SOUTH AFRICA	87	78.2%	0.24
84	A.Nestoridis	🇿🇦 SOUTH AFRICA	87	78.2%	0.24
85	M.Hooda	🇮🇳 INDIA	73	78.1%	0.27
86	A.Vaidya	🇮🇳 INDIA	73	78.1%	0.27
87	G.Driver	🇿🇦 SOUTH AFRICA	100	78.0%	0.27
88	K.Driver	🇿🇦 SOUTH AFRICA	100	78.0%	0.27
89	Y.Tan	🇸🇬 SINGAPORE	76	77.6%	0.29
90	P.Mandelot	🇧🇷 BRAZIL	70	77.1%	0.39
91	HENG A. K.	🇸🇬 SINGAPORE	87	77.0%	0.30
92	A.Magalhaes	🇧🇷 BRAZIL	61	77.0%	0.41
93	R.Amoedo	🇧🇷 BRAZIL	73	76.7%	0.25
94	L.Rocha	🇧🇷 BRAZIL	64	76.6%	0.25
95	A.Tan	🇸🇬 SINGAPORE	103	75.7%	0.29
96	P.Choy	🇸🇬 SINGAPORE	97	75.3%	0.30
97	J.Choo	🇸🇬 SINGAPORE	63	74.6%	0.35
98	K.Fung	🇭🇰 CHINA HONG KONG	88	73.9%	0.34
99	H.Lam	🇭🇰 CHINA HONG KONG	88	73.9%	0.34
100	G.Chai	🇸🇬 SINGAPORE	68	73.5%	0.37

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.Kaminski	🇮🇱 ISRAEL	176	-0.04	+0.96	+0.92	▲2
2	A.Schwartz	🇮🇱 ISRAEL	176	-0.04	+0.96	+0.92	▲2
3	M.Elinescu	🇩🇪 GERMANY	176	-0.19	+1.10	+0.91	▼2
4	E.Wladow	🇩🇪 GERMANY	176	-0.19	+1.10	+0.91	▼2
5	H.Lasut	🇮🇩 INDONESIA	192	-0.11	+0.91	+0.80	·
6	E.Manoppo	🇮🇩 INDONESIA	192	-0.11	+0.91	+0.80	·
7	J.Choo	🇸🇬 SINGAPORE	144	-0.07	+0.85	+0.77	·
8	G.Gaspar	🇦🇺 AUSTRALIA	160	-0.06	+0.68	+0.63	·
9	B.Richman	🇦🇺 AUSTRALIA	160	-0.06	+0.68	+0.63	·
10	G.Lasserre	🇫🇷 FRANCE	160	-0.06	+0.67	+0.61	·
11	P.Poizat	🇫🇷 FRANCE	160	-0.06	+0.67	+0.61	·
12	G.Chai	🇸🇬 SINGAPORE	160	+0.00	+0.54	+0.54	·
13	P.Grenthe	🇫🇷 FRANCE	192	+0.09	+0.41	+0.50	▲2
14	P.Vanhoutte	🇫🇷 FRANCE	192	+0.09	+0.41	+0.50	▲2
15	K.Fu	🇭🇰 CHINA HONG KONG	160	-0.08	+0.53	+0.45	▼2
16	A.Leigh	🇭🇰 CHINA HONG KONG	160	-0.08	+0.53	+0.45	▼2
17	D.Price	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	192	+0.04	+0.33	+0.37	▲2
18	C.Simpson	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	192	+0.04	+0.33	+0.37	▲2
19	W.Haughie	🇦🇺 AUSTRALIA	176	+0.07	+0.28	+0.35	▲8
20	R.Klinger	🇦🇺 AUSTRALIA	176	+0.07	+0.28	+0.35	▲8
21	U.Kratz	🇩🇪 GERMANY	160	-0.00	+0.33	+0.33	·
22	B.Strater	🇩🇪 GERMANY	160	-0.00	+0.33	+0.33	·
23	J.Guoba	🇨🇦 CANADA	160	+0.08	+0.24	+0.32	▲8
24	M.Kirr	🇨🇦 CANADA	160	+0.08	+0.24	+0.32	▲8
25	P.Choy	🇸🇬 SINGAPORE	176	+0.03	+0.29	+0.31	▲1
26	J.Carruthers	🇨🇦 CANADA	192	+0.06	+0.23	+0.28	▲7
27	J.Silver	🇨🇦 CANADA	192	+0.06	+0.23	+0.28	▲7
28	F.Leenhardt	🇫🇷 FRANCE	160	-0.06	+0.33	+0.27	▼11
29	P.Piganeau	🇫🇷 FRANCE	160	-0.06	+0.33	+0.27	▼11
30	A.Tan	🇸🇬 SINGAPORE	192	-0.05	+0.29	+0.24	▼5
31	P.Hackett	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	160	-0.03	+0.25	+0.22	▼2
32	T.Waterlow	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	160	-0.03	+0.25	+0.22	▼2
33	G.Hallberg	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	160	-0.04	+0.22	+0.18	▲2
34	J.Holland	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	160	-0.04	+0.22	+0.18	▲2
35	M.Ghamrawy	🇪🇬 EGYPT	192	-0.12	+0.29	+0.17	▼12
36	M.Kamel	🇪🇬 EGYPT	192	-0.12	+0.29	+0.17	▼12
37	P.Romik	🇮🇱 ISRAEL	176	+0.00	+0.14	+0.15	▲6
38	S.Zeligman	🇮🇱 ISRAEL	176	+0.00	+0.14	+0.15	▲6
39	O.Ekinci	🇹🇷 TURKEY	256	-0.01	+0.15	+0.14	▲2
40	F.Falay	🇹🇷 TURKEY	256	-0.01	+0.15	+0.14	▲2
41	M.Aloi	🇧🇷 BRAZIL	240	+0.10	+0.04	+0.14	▲10
42	G.Chagas	🇧🇷 BRAZIL	240	+0.10	+0.04	+0.14	▲10
43	W.Coyle	🏴󠁧󠁢󠁳󠁣󠁴󠁿 SCOTLAND	160	+0.14	-0.04	+0.10	▲14
44	J.Matheson	🏴󠁧󠁢󠁳󠁣󠁴󠁿 SCOTLAND	160	+0.14	-0.04	+0.10	▲14
45	G.Driver	🇿🇦 SOUTH AFRICA	176	+0.17	-0.09	+0.08	▲16
46	K.Driver	🇿🇦 SOUTH AFRICA	176	+0.17	-0.09	+0.08	▲16
47	A.Djajanegara	🇮🇩 INDONESIA	176	+0.05	+0.01	+0.07	▲6
48	D.Tuerah	🇮🇩 INDONESIA	176	+0.05	+0.01	+0.07	▲6
49	M.Copur	🇹🇷 TURKEY	256	+0.08	-0.02	+0.06	▲6
50	C.Gebeceli	🇹🇷 TURKEY	256	+0.08	-0.02	+0.06	▲6
51	R.Ling	🇭🇰 CHINA HONG KONG	192	-0.12	+0.17	+0.06	▼12
52	E.Tse	🇭🇰 CHINA HONG KONG	192	-0.12	+0.17	+0.06	▼12
53	F.Bigdeli	🇧🇪 BELGIUM	192	-0.18	+0.22	+0.04	▼16
54	H.Janssens	🇧🇪 BELGIUM	192	-0.18	+0.22	+0.04	▼16
55	M.Hooda	🇮🇳 INDIA	144	+0.48	-0.48	+0.00	▲22
56	A.Vaidya	🇮🇳 INDIA	144	+0.48	-0.48	+0.00	▲22
57	P.Gangal	🇮🇳 INDIA	192	-0.14	+0.14	-0.00	▼12
58	S.Gupta	🇮🇳 INDIA	192	-0.14	+0.14	-0.00	▼12
59	K.Bensouda	🇲🇦 MOROCCO	176	+0.19	-0.28	-0.09	▲10
60	A.Cadi Tazi	🇲🇦 MOROCCO	176	+0.19	-0.28	-0.09	▲10
61	A.Mukherjee	🇮🇳 INDIA	176	-0.14	+0.05	-0.09	▼12
62	K.Mukherjee	🇮🇳 INDIA	176	-0.14	+0.05	-0.09	▼12
63	A.Goodman	🏴󠁧󠁢󠁳󠁣󠁴󠁿 SCOTLAND	176	+0.15	-0.27	-0.12	▲4
64	B.Short	🏴󠁧󠁢󠁳󠁣󠁴󠁿 SCOTLAND	176	+0.15	-0.27	-0.12	▲4
65	M.Hartono	🇮🇩 INDONESIA	144	-0.26	+0.10	-0.16	▼18
66	M.Sawiruddin	🇮🇩 INDONESIA	144	-0.26	+0.10	-0.16	▼18
67	D.Birman	🇮🇱 ISRAEL	160	+0.23	-0.39	-0.16	▲8
68	D.Birman	🇮🇱 ISRAEL	160	+0.23	-0.39	-0.16	▲8
69	J.Lafourcade	🇧🇪 BELGIUM	192	+0.06	-0.33	-0.27	▲4
70	R.Marsal	🇩🇪 GERMANY	176	+0.01	-0.31	-0.29	▲1
71	U.Wenning	🇩🇪 GERMANY	176	+0.01	-0.31	-0.29	▲1
72	J.Rayner	🇨🇦 CANADA	160	-0.25	-0.05	-0.30	▼13
73	M.Roche	🇨🇦 CANADA	160	-0.25	-0.05	-0.30	▼13
74	J.Murdoch	🏴󠁧󠁢󠁳󠁣󠁴󠁿 SCOTLAND	176	-0.17	-0.16	-0.33	▼11
75	I.Sime	🏴󠁧󠁢󠁳󠁣󠁴󠁿 SCOTLAND	176	-0.17	-0.16	-0.33	▼11
76	J.Henri	🇧🇪 BELGIUM	112	+0.24	-0.58	-0.34	▲7
77	J.Dorfan	🇿🇦 SOUTH AFRICA	160	-0.15	-0.20	-0.35	▼12
78	N.Vorster	🇿🇦 SOUTH AFRICA	160	-0.15	-0.20	-0.35	▼12
79	M.Adly	🇪🇬 EGYPT	144	+0.08	-0.52	-0.44	▲2
80	P.Molina	🇲🇦 MOROCCO	176	+0.06	-0.52	-0.46	▼1
81	R.Yans	🇲🇦 MOROCCO	176	+0.06	-0.52	-0.46	▼1
82	A.Magalhaes	🇧🇷 BRAZIL	128	-0.13	-0.36	-0.49	▼8
83	P.Mandelot	🇧🇷 BRAZIL	144	-0.01	-0.53	-0.54	▼1
84	K.Fung	🇭🇰 CHINA HONG KONG	160	+0.14	-0.68	-0.54	▲2
85	H.Lam	🇭🇰 CHINA HONG KONG	160	+0.14	-0.68	-0.54	▲2
86	L.Samie	🇪🇬 EGYPT	160	+0.06	-0.60	-0.54	▼2
87	A.De Livera	🇦🇺 AUSTRALIA	176	+0.03	-0.69	-0.65	▲1
88	B.Neill	🇦🇺 AUSTRALIA	176	+0.03	-0.69	-0.65	▲1
89	J.Stas	🇧🇪 BELGIUM	208	-0.04	-0.64	-0.68	▼4
90	Y.Tan	🇸🇬 SINGAPORE	160	+0.01	-0.72	-0.72	▲2
91	V.Bloom	🇿🇦 SOUTH AFRICA	176	-0.02	-0.70	-0.72	▼1
92	A.Nestoridis	🇿🇦 SOUTH AFRICA	176	-0.02	-0.70	-0.72	▼1
93	L.Rocha	🇧🇷 BRAZIL	128	+0.11	-0.88	-0.77	▲3
94	HENG A. K.	🇸🇬 SINGAPORE	192	-0.01	-0.76	-0.77	▼1
95	R.Amoedo	🇧🇷 BRAZIL	144	+0.20	-0.99	-0.79	▲4
96	A.El Askalani	🇪🇬 EGYPT	160	-0.09	-0.79	-0.87	▼2
97	M.Khedr	🇪🇬 EGYPT	176	-0.09	-0.84	-0.93	▼2
98	R.Benzakour	🇲🇦 MOROCCO	160	-0.08	-0.89	-0.96	▼1
99	L.Kabbaj	🇲🇦 MOROCCO	160	-0.08	-0.89	-0.96	▼1
100	D.Johnson	🇧🇪 BELGIUM	128	+0.06	-1.05	-0.99	·

Statistics