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	C.Baldysz	🇵🇱 POLAND	224	+1.00	+225.0
2	E.Banaszkiewicz	🇵🇱 POLAND	224	+1.00	+225.0
3	L.Bojoh	🇮🇩 INDONESIA	192	+0.83	+159.0
4	J.Tueje	🇮🇩 INDONESIA	192	+0.83	+159.0
5	V.Gromova	🇷🇺 RUSSIA	272	+0.73	+198.0
6	T.Ponomareva	🇷🇺 RUSSIA	272	+0.73	+198.0
7	S.Brock	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	272	+0.70	+191.0
8	N.Smith	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	272	+0.70	+191.0
9	S.Dauvergne	🇫🇷 FRANCE	240	+0.38	+92.0
10	E.Hugon	🇫🇷 FRANCE	240	+0.38	+92.0
11	H.Dhondy	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	256	+0.06	+16.0
12	N.Senior	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	256	+0.06	+16.0
13	S.Chubarova	🇷🇺 RUSSIA	240	-0.02	-5.0
14	O.Vorobeychikova	🇷🇺 RUSSIA	240	-0.02	-5.0
15	F.Brown	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	240	-0.07	-16.0
16	S.Stockdale	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	240	-0.07	-16.0
17	D.Kazmucha	🇵🇱 POLAND	272	-0.07	-20.0
18	N.Sakowska	🇵🇱 POLAND	272	-0.07	-20.0
19	A.Gulevich	🇷🇺 RUSSIA	256	-0.20	-51.0
20	E.Khonicheva	🇷🇺 RUSSIA	256	-0.20	-51.0
21	V.Bessis	🇫🇷 FRANCE	256	-0.30	-77.0
22	C.Puillet	🇫🇷 FRANCE	256	-0.30	-77.0
23	C.Mus	🇫🇷 FRANCE	240	-0.35	-83.0
24	R.Poizat	🇫🇷 FRANCE	240	-0.35	-83.0
25	K.Dufrat	🇵🇱 POLAND	240	-0.45	-108.0
26	J.Zmuda	🇵🇱 POLAND	240	-0.45	-108.0
27	S.Dewi	🇮🇩 INDONESIA	192	-1.11	-213.0
28	K.Murniati	🇮🇩 INDONESIA	192	-1.11	-213.0
29	O.Kandolu	🇹🇷 TURKEY	80	+1.38	+110.0
30	D.Yavas	🇹🇷 TURKEY	80	+1.38	+110.0
31	S.Adamson	🏴󠁧󠁢󠁳󠁣󠁴󠁿 SCOTLAND	64	+1.11	+71.0
32	A.Symons	🏴󠁧󠁢󠁳󠁣󠁴󠁿 SCOTLAND	64	+1.11	+71.0
33	C.Arnolds	🇳🇱 NETHERLANDS	144	+0.81	+117.0
34	W.Van Zwol	🇳🇱 NETHERLANDS	144	+0.81	+117.0
35	L.Pain	🇧🇷 BRAZIL	144	+0.74	+106.0
36	I.Vargas De Andrade	🇧🇷 BRAZIL	144	+0.74	+106.0
37	L.Wang	🇨🇳 CHINA	64	+0.67	+43.0
38	Y.Zhang	🇨🇳 CHINA	64	+0.67	+43.0
39	C.Golin	🇮🇹 ITALY	80	+0.65	+52.0
40	G.Olivieri	🇮🇹 ITALY	80	+0.65	+52.0
41	A.Houlberg	🇩🇰 DENMARK	96	+0.53	+51.0
42	C.Madsen	🇩🇰 DENMARK	96	+0.53	+51.0
43	N.Djurovic	🇦🇺 AUSTRALIA	80	+0.40	+32.0
44	E.Havas	🇦🇺 AUSTRALIA	80	+0.40	+32.0
45	J.Pasman	🇳🇱 NETHERLANDS	112	+0.38	+42.0
46	A.Simons	🇳🇱 NETHERLANDS	112	+0.38	+42.0
47	J.Radin	🇺🇸 USA	64	+0.38	+24.0
48	S.Rimstedt	🇸🇪 SWEDEN	128	+0.37	+47.0
49	E.Sjoberg	🇸🇪 SWEDEN	128	+0.37	+47.0
50	M.Bourke	🇦🇺 AUSTRALIA	64	+0.28	+18.0
51	S.Lusk	🇦🇺 AUSTRALIA	64	+0.28	+18.0
52	I.Grumm	🇦🇹 AUSTRIA	96	+0.22	+21.0
53	T.Weigkricht	🇦🇹 AUSTRIA	96	+0.22	+21.0
54	J.Stansby	🇺🇸 USA	64	+0.05	+3.0
55	M.Zur-Campanile	🇺🇸 USA	64	+0.05	+3.0
56	L.Deas	🇺🇸 USA	80	+0.01	+1.0
57	A.Gogoman	🇦🇹 AUSTRIA	96	-0.06	-6.0
58	U.Wanha	🇦🇹 AUSTRIA	96	-0.06	-6.0
59	S.Moss	🇺🇸 USA	48	-0.17	-8.0
60	I.Gronkvist	🇸🇪 SWEDEN	144	-0.20	-29.0
61	C.Rimstedt	🇸🇪 SWEDEN	144	-0.20	-29.0
62	H.Wang	🇨🇳 CHINA	80	-0.25	-20.0
63	W.Wang	🇨🇳 CHINA	80	-0.25	-20.0
64	C.Forsberg	🇸🇪 SWEDEN	112	-0.31	-35.0
65	M.Gronkvist	🇸🇪 SWEDEN	112	-0.31	-35.0
66	P.Correa	🇧🇷 BRAZIL	128	-0.33	-42.0
67	S.Mello	🇧🇷 BRAZIL	128	-0.33	-42.0
68	C.Ferlazzo	🇮🇹 ITALY	80	-0.45	-36.0
69	G.Manara	🇮🇹 ITALY	80	-0.45	-36.0
70	B.Palmer	🇺🇸 USA	64	-0.48	-31.0
71	M.Grant	🏴󠁧󠁢󠁳󠁣󠁴󠁿 SCOTLAND	48	-0.71	-34.0
72	S.Mcdonald	🏴󠁧󠁢󠁳󠁣󠁴󠁿 SCOTLAND	48	-0.71	-34.0
73	L.Gu	🇨🇳 CHINA	48	-0.71	-34.0
74	Y.Lu	🇨🇳 CHINA	48	-0.71	-34.0
75	A.Acar	🇹🇷 TURKEY	64	-0.88	-56.0
76	B.Erkan	🇹🇷 TURKEY	64	-0.88	-56.0
77	L.Dekkers	🇳🇱 NETHERLANDS	128	-0.90	-115.0
78	M.Michielsen	🇳🇱 NETHERLANDS	128	-0.90	-115.0
79	E.Mcgowan	🏴󠁧󠁢󠁳󠁣󠁴󠁿 SCOTLAND	80	-1.00	-80.0
80	S.Punch	🏴󠁧󠁢󠁳󠁣󠁴󠁿 SCOTLAND	80	-1.00	-80.0
81	V.Adut	🇹🇷 TURKEY	48	-1.29	-62.0
82	B.Atalay	🇹🇷 TURKEY	48	-1.29	-62.0
83	A.Mandelot	🇧🇷 BRAZIL	112	-1.48	-166.0
84	H.Nogueira	🇧🇷 BRAZIL	112	-1.48	-166.0
85	N.Bekkouche	🇩🇰 DENMARK	96	-1.52	-146.0
86	D.Schaltz	🇩🇰 DENMARK	96	-1.52	-146.0
87	C.Ginsberg	🇦🇺 AUSTRALIA	48	-1.83	-88.0
88	B.Travis	🇦🇺 AUSTRALIA	48	-1.83	-88.0
89	A.Rosetta	🇮🇹 ITALY	32	-2.03	-65.0
90	M.Vanuzzi	🇮🇹 ITALY	32	-2.03	-65.0

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	V.Gromova	🇷🇺 RUSSIA	58	84.5%	0.21
2	D.Kazmucha	🇵🇱 POLAND	64	84.4%	0.16
3	E.Khonicheva	🇷🇺 RUSSIA	57	84.2%	0.26
4	S.Dewi	🇮🇩 INDONESIA	44	84.1%	0.16
5	H.Dhondy	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	68	83.8%	0.18
6	S.Dauvergne	🇫🇷 FRANCE	67	83.6%	0.18
7	R.Poizat	🇫🇷 FRANCE	61	83.6%	0.23
8	E.Hugon	🇫🇷 FRANCE	66	83.3%	0.20
9	J.Tueje	🇮🇩 INDONESIA	48	81.2%	0.27
10	O.Vorobeychikova	🇷🇺 RUSSIA	76	80.3%	0.22
11	N.Senior	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	61	80.3%	0.29
12	C.Baldysz	🇵🇱 POLAND	64	79.7%	0.25
13	N.Smith	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	78	79.5%	0.22
14	E.Banaszkiewicz	🇵🇱 POLAND	54	77.8%	0.22
15	K.Dufrat	🇵🇱 POLAND	63	77.8%	0.32
16	T.Ponomareva	🇷🇺 RUSSIA	76	77.6%	0.26
17	L.Bojoh	🇮🇩 INDONESIA	49	77.6%	0.31
18	S.Brock	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	60	76.7%	0.27
19	J.Zmuda	🇵🇱 POLAND	53	75.5%	0.28
20	S.Chubarova	🇷🇺 RUSSIA	54	74.1%	0.26
21	V.Bessis	🇫🇷 FRANCE	61	73.8%	0.29
22	N.Sakowska	🇵🇱 POLAND	57	73.7%	0.32
23	S.Stockdale	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	49	73.5%	0.31
24	F.Brown	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	67	73.1%	0.36
25	C.Puillet	🇫🇷 FRANCE	71	71.8%	0.28
26	K.Murniati	🇮🇩 INDONESIA	52	71.2%	0.36
27	A.Gulevich	🇷🇺 RUSSIA	66	69.7%	0.33
28	C.Mus	🇫🇷 FRANCE	61	63.9%	0.44
29	M.Zur-Campanile	🇺🇸 USA	13	100.0%	0.00
30	S.Moss	🇺🇸 USA	10	100.0%	0.00
31	B.Erkan	🇹🇷 TURKEY	16	100.0%	0.00
32	N.Djurovic	🇦🇺 AUSTRALIA	19	94.7%	0.05
33	C.Golin	🇮🇹 ITALY	17	94.1%	0.12
34	V.Adut	🇹🇷 TURKEY	13	92.3%	0.08
35	L.Wang	🇨🇳 CHINA	11	90.9%	0.09
36	N.Bekkouche	🇩🇰 DENMARK	20	90.0%	0.10
37	M.Vanuzzi	🇮🇹 ITALY	9	88.9%	0.11
38	B.Travis	🇦🇺 AUSTRALIA	9	88.9%	0.11
39	O.Kandolu	🇹🇷 TURKEY	17	88.2%	0.12
40	J.Stansby	🇺🇸 USA	17	88.2%	0.12
41	H.Wang	🇨🇳 CHINA	25	88.0%	0.12
42	A.Mandelot	🇧🇷 BRAZIL	25	88.0%	0.28
43	A.Gogoman	🇦🇹 AUSTRIA	24	87.5%	0.21
44	S.Lusk	🇦🇺 AUSTRALIA	23	87.0%	0.22
45	C.Arnolds	🇳🇱 NETHERLANDS	38	86.8%	0.29
46	A.Symons	🏴󠁧󠁢󠁳󠁣󠁴󠁿 SCOTLAND	15	86.7%	0.13
47	C.Madsen	🇩🇰 DENMARK	29	86.2%	0.17
48	W.Van Zwol	🇳🇱 NETHERLANDS	36	86.1%	0.14
49	S.Rimstedt	🇸🇪 SWEDEN	35	85.7%	0.17
50	G.Olivieri	🇮🇹 ITALY	21	85.7%	0.19
51	M.Michielsen	🇳🇱 NETHERLANDS	27	85.2%	0.26
52	W.Wang	🇨🇳 CHINA	19	84.2%	0.16
53	E.Havas	🇦🇺 AUSTRALIA	19	84.2%	0.26
54	I.Grumm	🇦🇹 AUSTRIA	18	83.3%	0.17
55	A.Acar	🇹🇷 TURKEY	18	83.3%	0.17
56	B.Palmer	🇺🇸 USA	12	83.3%	0.25
57	Y.Lu	🇨🇳 CHINA	12	83.3%	0.25
58	D.Schaltz	🇩🇰 DENMARK	18	83.3%	0.28
59	S.Mcdonald	🏴󠁧󠁢󠁳󠁣󠁴󠁿 SCOTLAND	11	81.8%	0.18
60	G.Manara	🇮🇹 ITALY	22	81.8%	0.27
61	D.Yavas	🇹🇷 TURKEY	22	81.8%	0.32
62	C.Forsberg	🇸🇪 SWEDEN	21	81.0%	0.24
63	I.Gronkvist	🇸🇪 SWEDEN	31	80.6%	0.35
64	L.Pain	🇧🇷 BRAZIL	33	78.8%	0.24
65	U.Wanha	🇦🇹 AUSTRIA	28	78.6%	0.25
66	S.Mello	🇧🇷 BRAZIL	45	77.8%	0.22
67	M.Grant	🏴󠁧󠁢󠁳󠁣󠁴󠁿 SCOTLAND	9	77.8%	0.33
68	L.Dekkers	🇳🇱 NETHERLANDS	35	77.1%	0.49
69	J.Radin	🇺🇸 USA	21	76.2%	0.29
70	H.Nogueira	🇧🇷 BRAZIL	25	76.0%	0.24
71	I.Vargas De Andrade	🇧🇷 BRAZIL	41	75.6%	0.29
72	B.Atalay	🇹🇷 TURKEY	8	75.0%	0.25
73	C.Rimstedt	🇸🇪 SWEDEN	31	74.2%	0.26
74	E.Sjoberg	🇸🇪 SWEDEN	27	74.1%	0.33
75	S.Adamson	🏴󠁧󠁢󠁳󠁣󠁴󠁿 SCOTLAND	19	73.7%	0.32
76	A.Houlberg	🇩🇰 DENMARK	19	73.7%	0.32
77	L.Deas	🇺🇸 USA	19	73.7%	0.37
78	E.Mcgowan	🏴󠁧󠁢󠁳󠁣󠁴󠁿 SCOTLAND	19	73.7%	0.42
79	Y.Zhang	🇨🇳 CHINA	25	72.0%	0.40
80	C.Ferlazzo	🇮🇹 ITALY	28	71.4%	0.32
81	J.Pasman	🇳🇱 NETHERLANDS	17	70.6%	0.47
82	M.Gronkvist	🇸🇪 SWEDEN	37	70.3%	0.38
83	L.Gu	🇨🇳 CHINA	10	70.0%	0.40
84	T.Weigkricht	🇦🇹 AUSTRIA	23	69.6%	0.35
85	S.Punch	🏴󠁧󠁢󠁳󠁣󠁴󠁿 SCOTLAND	13	69.2%	0.31
86	C.Ginsberg	🇦🇺 AUSTRALIA	13	69.2%	0.39
87	P.Correa	🇧🇷 BRAZIL	25	68.0%	0.40
88	A.Simons	🇳🇱 NETHERLANDS	24	66.7%	0.42
89	M.Bourke	🇦🇺 AUSTRALIA	13	61.5%	0.46
90	A.Rosetta	🇮🇹 ITALY	5	60.0%	0.40

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	J.Tueje	🇮🇩 INDONESIA	47	83.0%	0.28
2	C.Baldysz	🇵🇱 POLAND	67	79.1%	0.24
3	S.Chubarova	🇷🇺 RUSSIA	45	77.8%	0.27
4	N.Smith	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	61	77.0%	0.36
5	L.Bojoh	🇮🇩 INDONESIA	47	76.6%	0.28
6	T.Ponomareva	🇷🇺 RUSSIA	58	75.9%	0.24
7	D.Kazmucha	🇵🇱 POLAND	61	75.4%	0.31
8	E.Khonicheva	🇷🇺 RUSSIA	58	74.1%	0.29
9	S.Brock	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	70	72.9%	0.30
10	F.Brown	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	61	72.1%	0.38
11	J.Zmuda	🇵🇱 POLAND	70	71.4%	0.37
12	R.Poizat	🇫🇷 FRANCE	59	71.2%	0.30
13	S.Stockdale	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	58	70.7%	0.31
14	N.Senior	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	61	70.5%	0.33
15	E.Banaszkiewicz	🇵🇱 POLAND	37	70.3%	0.35
16	A.Gulevich	🇷🇺 RUSSIA	74	70.3%	0.46
17	E.Hugon	🇫🇷 FRANCE	47	70.2%	0.36
18	K.Murniati	🇮🇩 INDONESIA	51	68.6%	0.39
19	S.Dewi	🇮🇩 INDONESIA	45	66.7%	0.40
20	K.Dufrat	🇵🇱 POLAND	51	66.7%	0.41
21	C.Puillet	🇫🇷 FRANCE	66	66.7%	0.42
22	H.Dhondy	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	62	66.1%	0.50
23	V.Gromova	🇷🇺 RUSSIA	73	64.4%	0.49
24	S.Dauvergne	🇫🇷 FRANCE	58	63.8%	0.53
25	V.Bessis	🇫🇷 FRANCE	55	63.6%	0.44
26	O.Vorobeychikova	🇷🇺 RUSSIA	63	63.5%	0.44
27	C.Mus	🇫🇷 FRANCE	57	63.2%	0.47
28	N.Sakowska	🇵🇱 POLAND	86	61.6%	0.44
29	G.Olivieri	🇮🇹 ITALY	23	91.3%	0.09
30	M.Grant	🏴󠁧󠁢󠁳󠁣󠁴󠁿 SCOTLAND	17	88.2%	0.18
31	B.Erkan	🇹🇷 TURKEY	12	83.3%	0.17
32	M.Gronkvist	🇸🇪 SWEDEN	28	82.1%	0.25
33	C.Madsen	🇩🇰 DENMARK	22	81.8%	0.23
34	W.Van Zwol	🇳🇱 NETHERLANDS	26	80.8%	0.19
35	D.Yavas	🇹🇷 TURKEY	25	80.0%	0.28
36	S.Adamson	🏴󠁧󠁢󠁳󠁣󠁴󠁿 SCOTLAND	14	78.6%	0.29
37	C.Forsberg	🇸🇪 SWEDEN	23	78.3%	0.26
38	M.Vanuzzi	🇮🇹 ITALY	9	77.8%	0.22
39	A.Acar	🇹🇷 TURKEY	18	77.8%	0.33
40	M.Zur-Campanile	🇺🇸 USA	13	76.9%	0.23
41	N.Djurovic	🇦🇺 AUSTRALIA	13	76.9%	0.23
42	I.Vargas De Andrade	🇧🇷 BRAZIL	26	76.9%	0.35
43	C.Ginsberg	🇦🇺 AUSTRALIA	13	76.9%	0.46
44	M.Michielsen	🇳🇱 NETHERLANDS	34	76.5%	0.27
45	J.Stansby	🇺🇸 USA	21	76.2%	0.29
46	C.Rimstedt	🇸🇪 SWEDEN	46	76.1%	0.24
47	B.Palmer	🇺🇸 USA	16	75.0%	0.25
48	L.Dekkers	🇳🇱 NETHERLANDS	32	75.0%	0.28
49	A.Simons	🇳🇱 NETHERLANDS	24	75.0%	0.38
50	G.Manara	🇮🇹 ITALY	12	75.0%	0.42
51	W.Wang	🇨🇳 CHINA	23	73.9%	0.26
52	L.Deas	🇺🇸 USA	23	73.9%	0.39
53	C.Golin	🇮🇹 ITALY	19	73.7%	0.26
54	O.Kandolu	🇹🇷 TURKEY	15	73.3%	0.33
55	V.Adut	🇹🇷 TURKEY	15	73.3%	0.33
56	S.Mcdonald	🏴󠁧󠁢󠁳󠁣󠁴󠁿 SCOTLAND	11	72.7%	0.36
57	Y.Zhang	🇨🇳 CHINA	11	72.7%	0.36
58	S.Moss	🇺🇸 USA	7	71.4%	0.29
59	T.Weigkricht	🇦🇹 AUSTRIA	21	71.4%	0.33
60	S.Punch	🏴󠁧󠁢󠁳󠁣󠁴󠁿 SCOTLAND	28	71.4%	0.36
61	H.Nogueira	🇧🇷 BRAZIL	27	70.4%	0.33
62	M.Bourke	🇦🇺 AUSTRALIA	10	70.0%	0.40
63	E.Sjoberg	🇸🇪 SWEDEN	36	69.4%	0.50
64	A.Houlberg	🇩🇰 DENMARK	26	69.2%	0.31
65	S.Lusk	🇦🇺 AUSTRALIA	16	68.8%	0.38
66	I.Gronkvist	🇸🇪 SWEDEN	35	68.6%	0.37
67	A.Gogoman	🇦🇹 AUSTRIA	25	68.0%	0.40
68	S.Rimstedt	🇸🇪 SWEDEN	28	67.9%	0.50
69	D.Schaltz	🇩🇰 DENMARK	34	67.6%	0.38
70	L.Pain	🇧🇷 BRAZIL	43	67.4%	0.35
71	J.Pasman	🇳🇱 NETHERLANDS	46	65.2%	0.41
72	L.Wang	🇨🇳 CHINA	17	64.7%	0.41
73	A.Mandelot	🇧🇷 BRAZIL	35	62.9%	0.60
74	C.Arnolds	🇳🇱 NETHERLANDS	43	62.8%	0.51
75	L.Gu	🇨🇳 CHINA	16	62.5%	0.44
76	E.Havas	🇦🇺 AUSTRALIA	29	62.1%	0.38
77	I.Grumm	🇦🇹 AUSTRIA	34	61.8%	0.41
78	B.Travis	🇦🇺 AUSTRALIA	13	61.5%	0.39
79	N.Bekkouche	🇩🇰 DENMARK	23	60.9%	0.65
80	Y.Lu	🇨🇳 CHINA	10	60.0%	0.40
81	B.Atalay	🇹🇷 TURKEY	12	58.3%	0.42
82	S.Mello	🇧🇷 BRAZIL	19	57.9%	0.47
83	A.Symons	🏴󠁧󠁢󠁳󠁣󠁴󠁿 SCOTLAND	14	57.1%	0.79
84	C.Ferlazzo	🇮🇹 ITALY	16	56.2%	0.50
85	U.Wanha	🇦🇹 AUSTRIA	18	55.6%	0.44
86	A.Rosetta	🇮🇹 ITALY	9	55.6%	0.44
87	P.Correa	🇧🇷 BRAZIL	37	54.1%	0.54
88	H.Wang	🇨🇳 CHINA	13	53.8%	0.69
89	E.Mcgowan	🏴󠁧󠁢󠁳󠁣󠁴󠁿 SCOTLAND	19	52.6%	0.68
90	J.Radin	🇺🇸 USA	18	44.4%	0.56

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	V.Gromova	🇷🇺 RUSSIA	134	91.0%	0.12
2	T.Ponomareva	🇷🇺 RUSSIA	134	91.0%	0.12
3	F.Brown	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	116	88.8%	0.13
4	S.Stockdale	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	116	88.8%	0.13
5	S.Chubarova	🇷🇺 RUSSIA	130	87.7%	0.15
6	O.Vorobeychikova	🇷🇺 RUSSIA	130	87.7%	0.15
7	L.Bojoh	🇮🇩 INDONESIA	97	87.6%	0.14
8	J.Tueje	🇮🇩 INDONESIA	97	87.6%	0.14
9	K.Dufrat	🇵🇱 POLAND	116	87.1%	0.15
10	J.Zmuda	🇵🇱 POLAND	116	87.1%	0.15
11	S.Brock	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	138	87.0%	0.16
12	N.Smith	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	138	87.0%	0.16
13	D.Kazmucha	🇵🇱 POLAND	121	86.8%	0.14
14	N.Sakowska	🇵🇱 POLAND	121	86.8%	0.14
15	C.Baldysz	🇵🇱 POLAND	118	86.4%	0.14
16	E.Banaszkiewicz	🇵🇱 POLAND	118	86.4%	0.14
17	S.Dauvergne	🇫🇷 FRANCE	133	84.2%	0.19
18	E.Hugon	🇫🇷 FRANCE	133	84.2%	0.19
19	A.Gulevich	🇷🇺 RUSSIA	123	83.7%	0.19
20	E.Khonicheva	🇷🇺 RUSSIA	123	83.7%	0.19
21	C.Mus	🇫🇷 FRANCE	122	83.6%	0.20
22	R.Poizat	🇫🇷 FRANCE	122	83.6%	0.20
23	V.Bessis	🇫🇷 FRANCE	132	83.3%	0.17
24	C.Puillet	🇫🇷 FRANCE	132	83.3%	0.17
25	H.Dhondy	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	129	82.9%	0.22
26	N.Senior	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	129	82.9%	0.22
27	S.Dewi	🇮🇩 INDONESIA	96	80.2%	0.23
28	K.Murniati	🇮🇩 INDONESIA	96	80.2%	0.23
29	L.Gu	🇨🇳 CHINA	22	95.5%	0.09
30	Y.Lu	🇨🇳 CHINA	22	95.5%	0.09
31	V.Adut	🇹🇷 TURKEY	21	95.2%	0.05
32	B.Atalay	🇹🇷 TURKEY	21	95.2%	0.05
33	M.Grant	🏴󠁧󠁢󠁳󠁣󠁴󠁿 SCOTLAND	20	95.0%	0.05
34	S.Mcdonald	🏴󠁧󠁢󠁳󠁣󠁴󠁿 SCOTLAND	20	95.0%	0.05
35	A.Houlberg	🇩🇰 DENMARK	48	91.7%	0.08
36	C.Madsen	🇩🇰 DENMARK	48	91.7%	0.08
37	C.Ginsberg	🇦🇺 AUSTRALIA	22	90.9%	0.09
38	B.Travis	🇦🇺 AUSTRALIA	22	90.9%	0.09
39	L.Dekkers	🇳🇱 NETHERLANDS	62	90.3%	0.10
40	M.Michielsen	🇳🇱 NETHERLANDS	62	90.3%	0.10
41	J.Pasman	🇳🇱 NETHERLANDS	41	90.2%	0.10
42	A.Simons	🇳🇱 NETHERLANDS	41	90.2%	0.10
43	N.Bekkouche	🇩🇰 DENMARK	38	89.5%	0.13
44	D.Schaltz	🇩🇰 DENMARK	38	89.5%	0.13
45	B.Palmer	🇺🇸 USA	28	89.3%	0.11
46	L.Deas	🇺🇸 USA	37	89.2%	0.11
47	C.Forsberg	🇸🇪 SWEDEN	58	87.9%	0.12
48	M.Gronkvist	🇸🇪 SWEDEN	58	87.9%	0.12
49	C.Arnolds	🇳🇱 NETHERLANDS	74	87.8%	0.12
50	W.Van Zwol	🇳🇱 NETHERLANDS	74	87.8%	0.12
51	O.Kandolu	🇹🇷 TURKEY	39	87.2%	0.13
52	D.Yavas	🇹🇷 TURKEY	39	87.2%	0.13
53	P.Correa	🇧🇷 BRAZIL	70	87.1%	0.13
54	S.Mello	🇧🇷 BRAZIL	70	87.1%	0.13
55	S.Rimstedt	🇸🇪 SWEDEN	62	87.1%	0.21
56	E.Sjoberg	🇸🇪 SWEDEN	62	87.1%	0.21
57	I.Gronkvist	🇸🇪 SWEDEN	62	87.1%	0.26
58	C.Rimstedt	🇸🇪 SWEDEN	62	87.1%	0.26
59	M.Bourke	🇦🇺 AUSTRALIA	36	86.1%	0.14
60	S.Lusk	🇦🇺 AUSTRALIA	36	86.1%	0.14
61	S.Adamson	🏴󠁧󠁢󠁳󠁣󠁴󠁿 SCOTLAND	34	85.3%	0.15
62	A.Symons	🏴󠁧󠁢󠁳󠁣󠁴󠁿 SCOTLAND	34	85.3%	0.15
63	J.Radin	🇺🇸 USA	34	85.3%	0.15
64	A.Gogoman	🇦🇹 AUSTRIA	52	84.6%	0.27
65	U.Wanha	🇦🇹 AUSTRIA	52	84.6%	0.27
66	S.Moss	🇺🇸 USA	25	84.0%	0.16
67	C.Ferlazzo	🇮🇹 ITALY	50	84.0%	0.18
68	G.Manara	🇮🇹 ITALY	50	84.0%	0.18
69	L.Pain	🇧🇷 BRAZIL	74	83.8%	0.20
70	I.Vargas De Andrade	🇧🇷 BRAZIL	74	83.8%	0.20
71	L.Wang	🇨🇳 CHINA	36	83.3%	0.25
72	Y.Zhang	🇨🇳 CHINA	36	83.3%	0.25
73	I.Grumm	🇦🇹 AUSTRIA	41	82.9%	0.20
74	T.Weigkricht	🇦🇹 AUSTRIA	41	82.9%	0.20
75	H.Wang	🇨🇳 CHINA	44	81.8%	0.25
76	W.Wang	🇨🇳 CHINA	44	81.8%	0.25
77	C.Golin	🇮🇹 ITALY	38	81.6%	0.21
78	G.Olivieri	🇮🇹 ITALY	38	81.6%	0.21
79	N.Djurovic	🇦🇺 AUSTRALIA	38	81.6%	0.24
80	E.Havas	🇦🇺 AUSTRALIA	38	81.6%	0.24
81	E.Mcgowan	🏴󠁧󠁢󠁳󠁣󠁴󠁿 SCOTLAND	32	81.2%	0.22
82	S.Punch	🏴󠁧󠁢󠁳󠁣󠁴󠁿 SCOTLAND	32	81.2%	0.22
83	A.Rosetta	🇮🇹 ITALY	14	78.6%	0.43
84	M.Vanuzzi	🇮🇹 ITALY	14	78.6%	0.43
85	A.Mandelot	🇧🇷 BRAZIL	50	78.0%	0.24
86	H.Nogueira	🇧🇷 BRAZIL	50	78.0%	0.24
87	J.Stansby	🇺🇸 USA	30	76.7%	0.27
88	M.Zur-Campanile	🇺🇸 USA	30	76.7%	0.27
89	A.Acar	🇹🇷 TURKEY	34	76.5%	0.35
90	B.Erkan	🇹🇷 TURKEY	34	76.5%	0.35

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	F.Brown	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	272	+0.07	+0.47	+0.53	·
2	S.Stockdale	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	272	+0.07	+0.47	+0.53	·
3	S.Brock	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	304	-0.02	+0.35	+0.33	▲2
4	N.Smith	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	304	-0.02	+0.35	+0.33	▲2
5	D.Kazmucha	🇵🇱 POLAND	272	+0.08	+0.23	+0.30	▲4
6	N.Sakowska	🇵🇱 POLAND	272	+0.08	+0.23	+0.30	▲4
7	S.Chubarova	🇷🇺 RUSSIA	272	-0.11	+0.35	+0.24	▼4
8	O.Vorobeychikova	🇷🇺 RUSSIA	272	-0.11	+0.35	+0.24	▼4
9	L.Bojoh	🇮🇩 INDONESIA	192	+0.10	+0.09	+0.19	▲10
10	J.Tueje	🇮🇩 INDONESIA	192	+0.10	+0.09	+0.19	▲10
11	V.Gromova	🇷🇺 RUSSIA	304	-0.03	+0.21	+0.18	·
12	T.Ponomareva	🇷🇺 RUSSIA	304	-0.03	+0.21	+0.18	·
13	C.Baldysz	🇵🇱 POLAND	272	-0.12	+0.30	+0.18	▼6
14	E.Banaszkiewicz	🇵🇱 POLAND	272	-0.12	+0.30	+0.18	▼6
15	A.Gulevich	🇷🇺 RUSSIA	256	+0.01	+0.16	+0.17	▼2
16	E.Khonicheva	🇷🇺 RUSSIA	256	+0.01	+0.16	+0.17	▼2
17	S.Dauvergne	🇫🇷 FRANCE	288	+0.03	+0.13	+0.16	·
18	E.Hugon	🇫🇷 FRANCE	288	+0.03	+0.13	+0.16	·
19	H.Dhondy	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	256	+0.02	+0.13	+0.16	▼4
20	N.Senior	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	256	+0.02	+0.13	+0.16	▼4
21	V.Bessis	🇫🇷 FRANCE	256	+0.09	-0.20	-0.11	·
22	C.Puillet	🇫🇷 FRANCE	256	+0.09	-0.20	-0.11	·
23	C.Mus	🇫🇷 FRANCE	288	+0.10	-0.23	-0.13	·
24	R.Poizat	🇫🇷 FRANCE	288	+0.10	-0.23	-0.13	·
25	S.Dewi	🇮🇩 INDONESIA	192	+0.06	-0.39	-0.33	▲2
26	K.Murniati	🇮🇩 INDONESIA	192	+0.06	-0.39	-0.33	▲2
27	K.Dufrat	🇵🇱 POLAND	288	-0.05	-0.33	-0.38	▼2
28	J.Zmuda	🇵🇱 POLAND	288	-0.05	-0.33	-0.38	▼2

Statistics