Wroclaw 2016 — 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	S.Brink	🇳🇱 NETHERLANDS	160	+1.25	+200.0
2	B.Drijver	🇳🇱 NETHERLANDS	160	+1.25	+200.0
3	J.Sylvan	🇸🇪 SWEDEN	208	+0.89	+186.0
4	F.Wrang	🇸🇪 SWEDEN	208	+0.89	+186.0
5	W.Bieder	🇦🇹 AUSTRIA	176	+0.77	+136.0
6	F.Terraneo	🇦🇹 AUSTRIA	176	+0.77	+136.0
7	G.Goded Merino	🇪🇸 SPAIN	160	+0.76	+121.0
8	J.Sabate	🇪🇸 SPAIN	160	+0.76	+121.0
9	R.Amiry	🇪🇬 EGYPT	256	+0.67	+171.0
10	A.Samir	🇪🇬 EGYPT	256	+0.67	+171.0
11	S.De Wijs	🇳🇱 NETHERLANDS	192	+0.64	+123.0
12	B.Muller	🇳🇱 NETHERLANDS	192	+0.64	+123.0
13	A.Arlovich	🇱🇹 LITHUANIA	144	+0.62	+90.0
14	E.Vainikonis	🇱🇹 LITHUANIA	144	+0.62	+90.0
15	T.Hanlon	🇮🇪 IRELAND	208	+0.62	+130.0
16	H.Mcgann	🇮🇪 IRELAND	208	+0.62	+130.0
17	M.Brown	🇳🇿 NEW ZEALAND	192	+0.59	+113.0
18	M.Whibley	🇳🇿 NEW ZEALAND	192	+0.59	+113.0
19	P.Clemmensen	🇩🇰 DENMARK	176	+0.53	+94.0
20	H.Graversen	🇩🇰 DENMARK	176	+0.53	+94.0
21	J.Simon	🇦🇹 AUSTRIA	160	+0.52	+83.0
22	C.Terraneo	🇦🇹 AUSTRIA	160	+0.52	+83.0
23	G.Hegedus	🇭🇺 HUNGARY	192	+0.49	+95.0
24	B.Szegedi	🇭🇺 HUNGARY	192	+0.49	+95.0
25	B.Gierulski	🇱🇹 LITHUANIA	208	+0.49	+101.0
26	J.Skrzypczak	🇱🇹 LITHUANIA	208	+0.49	+101.0
27	A.Babsch	🇦🇹 AUSTRIA	176	+0.46	+81.0
28	A.Lindermann	🇦🇹 AUSTRIA	176	+0.46	+81.0
29	M.Askgaard	🇩🇰 DENMARK	144	+0.39	+56.0
30	K.Konow	🇩🇰 DENMARK	144	+0.39	+56.0
31	N.L'Ecuyer	🇨🇦 CANADA	192	+0.32	+62.0
32	Z.Marcinski	🇨🇦 CANADA	192	+0.32	+62.0
33	T.Bergdahl	🇸🇪 SWEDEN	144	+0.32	+46.0
34	N.Warne	🇸🇪 SWEDEN	144	+0.32	+46.0
35	A.Bach	🇳🇿 NEW ZEALAND	176	+0.31	+54.0
36	M.Cornell	🇳🇿 NEW ZEALAND	176	+0.31	+54.0
37	M.Elagamawy	🇦🇪 UNITED ARAB EMIRATES	160	+0.28	+45.0
38	H.Ghonem	🇦🇪 UNITED ARAB EMIRATES	160	+0.28	+45.0
39	B.Drijver	🇳🇱 NETHERLANDS	160	+0.26	+41.0
40	B.Nab	🇳🇱 NETHERLANDS	160	+0.26	+41.0
41	J.Gartaganis	🇨🇦 CANADA	160	+0.21	+34.0
42	N.Gartaganis	🇨🇦 CANADA	160	+0.21	+34.0
43	A.Knap	🇪🇸 SPAIN	176	+0.18	+32.0
44	A.Wasik	🇪🇸 SPAIN	176	+0.18	+32.0
45	J.Carroll	🇮🇪 IRELAND	192	+0.18	+34.0
46	T.Garvey	🇮🇪 IRELAND	192	+0.18	+34.0
47	D.Bilde	🇩🇰 DENMARK	192	+0.17	+32.0
48	M.Bilde	🇩🇰 DENMARK	192	+0.17	+32.0
49	G.Tislevoll	🇳🇿 NEW ZEALAND	144	+0.12	+18.0
50	M.Ware	🇳🇿 NEW ZEALAND	144	+0.12	+18.0
51	F.Nystrom	🇸🇪 SWEDEN	160	+0.11	+18.0
52	J.Upmark	🇸🇪 SWEDEN	160	+0.11	+18.0
53	F.Goded	🇪🇸 SPAIN	176	+0.10	+17.0
54	L.Lantaron	🇪🇸 SPAIN	176	+0.10	+17.0
55	K.Fergani	🇨🇦 CANADA	160	+0.08	+13.0
56	F.Pollack	🇨🇦 CANADA	160	+0.08	+13.0
57	D.Gulyas	🇭🇺 HUNGARY	160	+0.06	+10.0
58	B.Kotanyi	🇭🇺 HUNGARY	160	+0.06	+10.0
59	J.Li	🇨🇳 CHINA	160	-0.02	-3.0
60	B.Zhang	🇨🇳 CHINA	160	-0.02	-3.0
61	Y.Chen	🇨🇳 CHINA	160	-0.03	-5.0
62	W.Wang	🇨🇳 CHINA	160	-0.03	-5.0
63	K.Nabil	🇪🇬 EGYPT	208	-0.05	-10.0
64	M.Dumbovich	🇭🇺 HUNGARY	160	-0.14	-23.0
65	L.Szilagyi	🇭🇺 HUNGARY	160	-0.14	-23.0
66	J.Dai	🇨🇳 CHINA	192	-0.16	-30.0
67	L.Yang	🇨🇳 CHINA	192	-0.16	-30.0
68	J.Bouveresse	🇬🇵 GUADELOUPE	176	-0.24	-43.0
69	P.Mathieu	🇬🇵 GUADELOUPE	176	-0.24	-43.0
70	A.Omran	🇪🇬 EGYPT	256	-0.29	-73.0
71	J.Cassin	🇬🇵 GUADELOUPE	144	-0.34	-49.0
72	J.Pelletier	🇬🇵 GUADELOUPE	160	-0.42	-67.0
73	G.Fazzardi	🇸🇲 SAN MARINO	176	-0.43	-76.0
74	R.Soglia	🇸🇲 SAN MARINO	176	-0.43	-76.0
75	S.Ahamed	🇧🇩 BANGLADESH	192	-0.43	-83.0
76	D.Hanzala	🇧🇩 BANGLADESH	192	-0.43	-83.0
77	R.Boland	🇮🇪 IRELAND	112	-0.46	-52.0
78	M.Moran	🇮🇪 IRELAND	112	-0.46	-52.0
79	A.Adamson	🏴󠁧󠁢󠁳󠁣󠁴󠁿 SCOTLAND	256	-0.48	-124.0
80	S.Peterkin	🏴󠁧󠁢󠁳󠁣󠁴󠁿 SCOTLAND	256	-0.48	-124.0
81	S.Duncan	🏴󠁧󠁢󠁳󠁣󠁴󠁿 SCOTLAND	256	-0.68	-174.0
82	D.Kane	🏴󠁧󠁢󠁳󠁣󠁴󠁿 SCOTLAND	256	-0.68	-174.0
83	J.Sarrola	🇬🇵 GUADELOUPE	176	-0.83	-146.0
84	W.Olanski	🇱🇹 LITHUANIA	160	-0.84	-134.0
85	V.Vainikonis	🇱🇹 LITHUANIA	160	-0.84	-134.0
86	D.Gerin	🇬🇵 GUADELOUPE	192	-0.85	-164.0
87	B.Amin	🇧🇩 BANGLADESH	176	-0.94	-166.0
88	N.Hassan	🇧🇩 BANGLADESH	176	-0.94	-166.0
89	A.Almadi	🇦🇪 UNITED ARAB EMIRATES	176	-0.95	-167.0
90	H.Attef	🇦🇪 UNITED ARAB EMIRATES	176	-0.95	-167.0
91	M.Hindie	🇦🇪 UNITED ARAB EMIRATES	176	-1.01	-178.0
92	MEKKY AMR	🇦🇪 UNITED ARAB EMIRATES	176	-1.01	-178.0
93	R.Mieti	🇸🇲 SAN MARINO	160	-1.20	-192.0
94	A.Treossi	🇸🇲 SAN MARINO	160	-1.20	-192.0
95	G.Bartolacelli	🇸🇲 SAN MARINO	176	-1.44	-254.0
96	M.Bertazzoni	🇸🇲 SAN MARINO	176	-1.44	-254.0
97	S.Kamal N. H.	🇧🇩 BANGLADESH	144	-1.71	-246.0
98	M.Salahuddin	🇧🇩 BANGLADESH	144	-1.71	-246.0
99	H.Negm	🇪🇬 EGYPT	48	-1.31	-63.0

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	M.Salahuddin	🇧🇩 BANGLADESH	25	96.0%	0.04
2	E.Vainikonis	🇱🇹 LITHUANIA	40	92.5%	0.07
3	A.Babsch	🇦🇹 AUSTRIA	50	92.0%	0.08
4	F.Nystrom	🇸🇪 SWEDEN	39	89.7%	0.15
5	T.Bergdahl	🇸🇪 SWEDEN	38	89.5%	0.13
6	B.Amin	🇧🇩 BANGLADESH	45	88.9%	0.11
7	J.Sarrola	🇬🇵 GUADELOUPE	34	88.2%	0.18
8	J.Dai	🇨🇳 CHINA	48	87.5%	0.17
9	S.Brink	🇳🇱 NETHERLANDS	64	87.5%	0.20
10	A.Bach	🇳🇿 NEW ZEALAND	47	87.2%	0.13
11	N.Gartaganis	🇨🇦 CANADA	31	87.1%	0.19
12	M.Ware	🇳🇿 NEW ZEALAND	38	86.8%	0.16
13	Y.Chen	🇨🇳 CHINA	36	86.1%	0.19
14	H.Graversen	🇩🇰 DENMARK	50	86.0%	0.20
15	F.Wrang	🇸🇪 SWEDEN	49	85.7%	0.16
16	A.Lindermann	🇦🇹 AUSTRIA	42	85.7%	0.17
17	G.Fazzardi	🇸🇲 SAN MARINO	42	85.7%	0.17
18	T.Hanlon	🇮🇪 IRELAND	49	85.7%	0.18
19	J.Carroll	🇮🇪 IRELAND	55	85.5%	0.26
20	B.Szegedi	🇭🇺 HUNGARY	48	85.4%	0.19
21	C.Terraneo	🇦🇹 AUSTRIA	41	85.4%	0.24
22	Z.Marcinski	🇨🇦 CANADA	61	85.2%	0.16
23	P.Clemmensen	🇩🇰 DENMARK	33	84.8%	0.21
24	M.Hindie	🇦🇪 UNITED ARAB EMIRATES	39	84.6%	0.18
25	V.Vainikonis	🇱🇹 LITHUANIA	39	84.6%	0.20
26	A.Arlovich	🇱🇹 LITHUANIA	32	84.4%	0.16
27	J.Sylvan	🇸🇪 SWEDEN	70	84.3%	0.26
28	L.Szilagyi	🇭🇺 HUNGARY	38	84.2%	0.18
29	H.Mcgann	🇮🇪 IRELAND	57	84.2%	0.19
30	G.Goded Merino	🇪🇸 SPAIN	43	83.7%	0.16
31	G.Hegedus	🇭🇺 HUNGARY	49	83.7%	0.16
32	M.Bertazzoni	🇸🇲 SAN MARINO	43	83.7%	0.19
33	W.Wang	🇨🇳 CHINA	42	83.3%	0.24
34	K.Nabil	🇪🇬 EGYPT	47	83.0%	0.19
35	D.Hanzala	🇧🇩 BANGLADESH	41	82.9%	0.32
36	J.Simon	🇦🇹 AUSTRIA	40	82.5%	0.17
37	B.Zhang	🇨🇳 CHINA	40	82.5%	0.23
38	J.Li	🇨🇳 CHINA	34	82.4%	0.18
39	F.Terraneo	🇦🇹 AUSTRIA	45	82.2%	0.18
40	M.Cornell	🇳🇿 NEW ZEALAND	39	82.1%	0.20
41	G.Tislevoll	🇳🇿 NEW ZEALAND	28	82.1%	0.21
42	A.Omran	🇪🇬 EGYPT	78	82.1%	0.22
43	MEKKY AMR	🇦🇪 UNITED ARAB EMIRATES	50	82.0%	0.20
44	A.Samir	🇪🇬 EGYPT	77	81.8%	0.22
45	B.Kotanyi	🇭🇺 HUNGARY	48	81.2%	0.23
46	B.Gierulski	🇱🇹 LITHUANIA	48	81.2%	0.25
47	A.Treossi	🇸🇲 SAN MARINO	47	80.9%	0.28
48	S.Peterkin	🏴󠁧󠁢󠁳󠁣󠁴󠁿 SCOTLAND	57	80.7%	0.28
49	A.Wasik	🇪🇸 SPAIN	46	80.4%	0.22
50	B.Muller	🇳🇱 NETHERLANDS	40	80.0%	0.23
51	S.Duncan	🏴󠁧󠁢󠁳󠁣󠁴󠁿 SCOTLAND	50	80.0%	0.24
52	A.Knap	🇪🇸 SPAIN	35	80.0%	0.26
53	M.Askgaard	🇩🇰 DENMARK	40	80.0%	0.30
54	D.Kane	🏴󠁧󠁢󠁳󠁣󠁴󠁿 SCOTLAND	69	79.7%	0.29
55	L.Lantaron	🇪🇸 SPAIN	39	79.5%	0.26
56	W.Bieder	🇦🇹 AUSTRIA	34	79.4%	0.29
57	J.Skrzypczak	🇱🇹 LITHUANIA	62	79.0%	0.21
58	W.Olanski	🇱🇹 LITHUANIA	38	78.9%	0.32
59	J.Bouveresse	🇬🇵 GUADELOUPE	33	78.8%	0.24
60	M.Elagamawy	🇦🇪 UNITED ARAB EMIRATES	33	78.8%	0.30
61	A.Adamson	🏴󠁧󠁢󠁳󠁣󠁴󠁿 SCOTLAND	75	78.7%	0.24
62	H.Ghonem	🇦🇪 UNITED ARAB EMIRATES	47	78.7%	0.28
63	F.Pollack	🇨🇦 CANADA	42	78.6%	0.21
64	J.Gartaganis	🇨🇦 CANADA	42	78.6%	0.29
65	N.Hassan	🇧🇩 BANGLADESH	51	78.4%	0.23
66	N.Warne	🇸🇪 SWEDEN	32	78.1%	0.22
67	H.Attef	🇦🇪 UNITED ARAB EMIRATES	32	78.1%	0.22
68	K.Konow	🇩🇰 DENMARK	32	78.1%	0.28
69	K.Fergani	🇨🇦 CANADA	32	78.1%	0.31
70	J.Pelletier	🇬🇵 GUADELOUPE	41	78.0%	0.27
71	J.Upmark	🇸🇪 SWEDEN	41	78.0%	0.29
72	B.Nab	🇳🇱 NETHERLANDS	27	77.8%	0.33
73	M.Brown	🇳🇿 NEW ZEALAND	49	77.6%	0.33
74	A.Almadi	🇦🇪 UNITED ARAB EMIRATES	52	76.9%	0.27
75	M.Bilde	🇩🇰 DENMARK	77	76.6%	0.38
76	G.Bartolacelli	🇸🇲 SAN MARINO	51	76.5%	0.26
77	B.Drijver	🇳🇱 NETHERLANDS	37	75.7%	0.32
78	J.Sabate	🇪🇸 SPAIN	41	75.6%	0.27
79	D.Gulyas	🇭🇺 HUNGARY	41	75.6%	0.37
80	P.Mathieu	🇬🇵 GUADELOUPE	49	75.5%	0.33
81	D.Gerin	🇬🇵 GUADELOUPE	53	75.5%	0.34
82	B.Drijver	🇳🇱 NETHERLANDS	12	75.0%	0.25
83	R.Amiry	🇪🇬 EGYPT	64	75.0%	0.28
84	F.Goded	🇪🇸 SPAIN	51	74.5%	0.31
85	M.Dumbovich	🇭🇺 HUNGARY	47	74.5%	0.34
86	M.Moran	🇮🇪 IRELAND	27	74.1%	0.33
87	R.Mieti	🇸🇲 SAN MARINO	42	73.8%	0.29
88	S.Ahamed	🇧🇩 BANGLADESH	57	73.7%	0.32
89	S.De Wijs	🇳🇱 NETHERLANDS	57	73.7%	0.39
90	J.Cassin	🇬🇵 GUADELOUPE	37	73.0%	0.38
91	S.Kamal N. H.	🇧🇩 BANGLADESH	36	72.2%	0.36
92	N.L'Ecuyer	🇨🇦 CANADA	40	70.0%	0.33
93	T.Garvey	🇮🇪 IRELAND	43	69.8%	0.30
94	L.Yang	🇨🇳 CHINA	39	69.2%	0.33
95	M.Whibley	🇳🇿 NEW ZEALAND	48	68.8%	0.38
96	R.Boland	🇮🇪 IRELAND	22	68.2%	0.36
97	R.Soglia	🇸🇲 SAN MARINO	48	66.7%	0.38
98	D.Bilde	🇩🇰 DENMARK	10	60.0%	0.40
99	H.Negm	🇪🇬 EGYPT	3	100.0%	0.00

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	B.Muller	🇳🇱 NETHERLANDS	38	89.5%	0.10
2	K.Fergani	🇨🇦 CANADA	42	88.1%	0.17
3	T.Bergdahl	🇸🇪 SWEDEN	37	86.5%	0.16
4	W.Bieder	🇦🇹 AUSTRIA	55	85.5%	0.16
5	M.Ware	🇳🇿 NEW ZEALAND	33	84.8%	0.15
6	A.Omran	🇪🇬 EGYPT	58	84.5%	0.19
7	B.Szegedi	🇭🇺 HUNGARY	45	84.4%	0.16
8	H.Graversen	🇩🇰 DENMARK	38	84.2%	0.26
9	M.Elagamawy	🇦🇪 UNITED ARAB EMIRATES	44	84.1%	0.16
10	M.Moran	🇮🇪 IRELAND	24	83.3%	0.21
11	E.Vainikonis	🇱🇹 LITHUANIA	29	82.8%	0.17
12	M.Askgaard	🇩🇰 DENMARK	29	82.8%	0.21
13	F.Nystrom	🇸🇪 SWEDEN	34	82.4%	0.23
14	J.Carroll	🇮🇪 IRELAND	39	82.1%	0.26
15	L.Szilagyi	🇭🇺 HUNGARY	42	81.0%	0.19
16	A.Knap	🇪🇸 SPAIN	47	80.9%	0.26
17	D.Gulyas	🇭🇺 HUNGARY	31	80.6%	0.19
18	M.Whibley	🇳🇿 NEW ZEALAND	62	80.6%	0.24
19	C.Terraneo	🇦🇹 AUSTRIA	36	80.6%	0.25
20	K.Konow	🇩🇰 DENMARK	41	80.5%	0.27
21	J.Dai	🇨🇳 CHINA	46	80.4%	0.26
22	J.Bouveresse	🇬🇵 GUADELOUPE	45	80.0%	0.22
23	P.Clemmensen	🇩🇰 DENMARK	54	79.6%	0.24
24	W.Olanski	🇱🇹 LITHUANIA	34	79.4%	0.29
25	F.Wrang	🇸🇪 SWEDEN	48	79.2%	0.21
26	J.Pelletier	🇬🇵 GUADELOUPE	53	79.2%	0.26
27	N.L'Ecuyer	🇨🇦 CANADA	56	78.6%	0.29
28	S.Brink	🇳🇱 NETHERLANDS	41	78.0%	0.27
29	W.Wang	🇨🇳 CHINA	49	77.6%	0.27
30	L.Lantaron	🇪🇸 SPAIN	40	77.5%	0.33
31	G.Hegedus	🇭🇺 HUNGARY	48	77.1%	0.23
32	A.Babsch	🇦🇹 AUSTRIA	39	76.9%	0.28
33	T.Hanlon	🇮🇪 IRELAND	56	76.8%	0.27
34	S.De Wijs	🇳🇱 NETHERLANDS	56	76.8%	0.30
35	A.Arlovich	🇱🇹 LITHUANIA	43	76.7%	0.26
36	P.Mathieu	🇬🇵 GUADELOUPE	47	76.6%	0.32
37	Z.Marcinski	🇨🇦 CANADA	33	75.8%	0.27
38	N.Gartaganis	🇨🇦 CANADA	45	75.6%	0.29
39	D.Kane	🏴󠁧󠁢󠁳󠁣󠁴󠁿 SCOTLAND	72	75.0%	0.31
40	F.Pollack	🇨🇦 CANADA	44	75.0%	0.32
41	J.Sarrola	🇬🇵 GUADELOUPE	51	74.5%	0.28
42	V.Vainikonis	🇱🇹 LITHUANIA	47	74.5%	0.32
43	F.Goded	🇪🇸 SPAIN	43	74.4%	0.30
44	A.Wasik	🇪🇸 SPAIN	46	73.9%	0.28
45	J.Gartaganis	🇨🇦 CANADA	42	73.8%	0.31
46	S.Kamal N. H.	🇧🇩 BANGLADESH	34	73.5%	0.29
47	A.Adamson	🏴󠁧󠁢󠁳󠁣󠁴󠁿 SCOTLAND	68	73.5%	0.40
48	A.Bach	🇳🇿 NEW ZEALAND	49	73.5%	0.41
49	A.Lindermann	🇦🇹 AUSTRIA	45	73.3%	0.27
50	B.Nab	🇳🇱 NETHERLANDS	45	73.3%	0.33
51	F.Terraneo	🇦🇹 AUSTRIA	41	73.2%	0.34
52	S.Ahamed	🇧🇩 BANGLADESH	51	72.5%	0.31
53	R.Amiry	🇪🇬 EGYPT	54	72.2%	0.33
54	B.Gierulski	🇱🇹 LITHUANIA	43	72.1%	0.30
55	D.Hanzala	🇧🇩 BANGLADESH	43	72.1%	0.30
56	J.Upmark	🇸🇪 SWEDEN	46	71.7%	0.30
57	A.Samir	🇪🇬 EGYPT	60	71.7%	0.32
58	J.Sabate	🇪🇸 SPAIN	35	71.4%	0.37
59	R.Soglia	🇸🇲 SAN MARINO	35	71.4%	0.37
60	H.Attef	🇦🇪 UNITED ARAB EMIRATES	49	71.4%	0.41
61	G.Tislevoll	🇳🇿 NEW ZEALAND	45	71.1%	0.29
62	M.Hindie	🇦🇪 UNITED ARAB EMIRATES	38	71.1%	0.29
63	Y.Chen	🇨🇳 CHINA	31	71.0%	0.39
64	T.Garvey	🇮🇪 IRELAND	55	70.9%	0.36
65	M.Cornell	🇳🇿 NEW ZEALAND	41	70.7%	0.41
66	B.Amin	🇧🇩 BANGLADESH	34	70.6%	0.38
67	R.Boland	🇮🇪 IRELAND	37	70.3%	0.35
68	L.Yang	🇨🇳 CHINA	57	70.2%	0.32
69	B.Zhang	🇨🇳 CHINA	47	70.2%	0.38
70	J.Sylvan	🇸🇪 SWEDEN	40	70.0%	0.38
71	G.Goded Merino	🇪🇸 SPAIN	40	70.0%	0.42
72	M.Dumbovich	🇭🇺 HUNGARY	30	70.0%	0.43
73	MEKKY AMR	🇦🇪 UNITED ARAB EMIRATES	49	69.4%	0.33
74	J.Li	🇨🇳 CHINA	39	69.2%	0.41
75	B.Kotanyi	🇭🇺 HUNGARY	39	69.2%	0.46
76	J.Skrzypczak	🇱🇹 LITHUANIA	55	69.1%	0.40
77	A.Almadi	🇦🇪 UNITED ARAB EMIRATES	42	69.0%	0.36
78	J.Simon	🇦🇹 AUSTRIA	42	69.0%	0.43
79	D.Bilde	🇩🇰 DENMARK	51	68.6%	0.47
80	B.Drijver	🇳🇱 NETHERLANDS	50	68.0%	0.34
81	H.Ghonem	🇦🇪 UNITED ARAB EMIRATES	34	67.6%	0.32
82	D.Gerin	🇬🇵 GUADELOUPE	40	67.5%	0.45
83	B.Drijver	🇳🇱 NETHERLANDS	43	67.4%	0.35
84	H.Mcgann	🇮🇪 IRELAND	46	67.4%	0.37
85	N.Hassan	🇧🇩 BANGLADESH	43	67.4%	0.37
86	M.Salahuddin	🇧🇩 BANGLADESH	46	67.4%	0.41
87	K.Nabil	🇪🇬 EGYPT	52	67.3%	0.42
88	M.Brown	🇳🇿 NEW ZEALAND	33	66.7%	0.36
89	G.Bartolacelli	🇸🇲 SAN MARINO	36	66.7%	0.42
90	S.Duncan	🏴󠁧󠁢󠁳󠁣󠁴󠁿 SCOTLAND	62	66.1%	0.43
91	N.Warne	🇸🇪 SWEDEN	37	64.9%	0.49
92	M.Bertazzoni	🇸🇲 SAN MARINO	45	64.4%	0.42
93	A.Treossi	🇸🇲 SAN MARINO	28	64.3%	0.61
94	J.Cassin	🇬🇵 GUADELOUPE	25	64.0%	0.44
95	S.Peterkin	🏴󠁧󠁢󠁳󠁣󠁴󠁿 SCOTLAND	54	63.0%	0.44
96	M.Bilde	🇩🇰 DENMARK	48	62.5%	0.44
97	G.Fazzardi	🇸🇲 SAN MARINO	50	62.0%	0.48
98	R.Mieti	🇸🇲 SAN MARINO	41	61.0%	0.44
99	H.Negm	🇪🇬 EGYPT	17	64.7%	0.35

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	D.Gulyas	🇭🇺 HUNGARY	89	95.5%	0.06
2	B.Kotanyi	🇭🇺 HUNGARY	89	95.5%	0.06
3	M.Askgaard	🇩🇰 DENMARK	72	94.4%	0.15
4	K.Konow	🇩🇰 DENMARK	72	94.4%	0.15
5	R.Boland	🇮🇪 IRELAND	49	93.9%	0.06
6	M.Moran	🇮🇪 IRELAND	49	93.9%	0.06
7	G.Goded Merino	🇪🇸 SPAIN	84	92.9%	0.07
8	J.Sabate	🇪🇸 SPAIN	84	92.9%	0.07
9	W.Bieder	🇦🇹 AUSTRIA	79	92.4%	0.08
10	F.Terraneo	🇦🇹 AUSTRIA	79	92.4%	0.08
11	A.Bach	🇳🇿 NEW ZEALAND	86	91.9%	0.08
12	M.Cornell	🇳🇿 NEW ZEALAND	86	91.9%	0.08
13	G.Hegedus	🇭🇺 HUNGARY	97	91.8%	0.08
14	B.Szegedi	🇭🇺 HUNGARY	97	91.8%	0.08
15	T.Bergdahl	🇸🇪 SWEDEN	70	91.4%	0.09
16	N.Warne	🇸🇪 SWEDEN	70	91.4%	0.09
17	S.De Wijs	🇳🇱 NETHERLANDS	97	90.7%	0.09
18	B.Muller	🇳🇱 NETHERLANDS	97	90.7%	0.09
19	M.Brown	🇳🇿 NEW ZEALAND	97	90.7%	0.13
20	M.Whibley	🇳🇿 NEW ZEALAND	97	90.7%	0.13
21	A.Arlovich	🇱🇹 LITHUANIA	72	90.3%	0.10
22	E.Vainikonis	🇱🇹 LITHUANIA	72	90.3%	0.10
23	R.Amiry	🇪🇬 EGYPT	141	90.1%	0.12
24	A.Samir	🇪🇬 EGYPT	141	90.1%	0.12
25	J.Dai	🇨🇳 CHINA	87	89.7%	0.13
26	L.Yang	🇨🇳 CHINA	87	89.7%	0.13
27	Y.Chen	🇨🇳 CHINA	78	89.7%	0.14
28	W.Wang	🇨🇳 CHINA	78	89.7%	0.14
29	W.Olanski	🇱🇹 LITHUANIA	77	89.6%	0.23
30	V.Vainikonis	🇱🇹 LITHUANIA	77	89.6%	0.23
31	S.Brink	🇳🇱 NETHERLANDS	76	89.5%	0.12
32	B.Drijver	🇳🇱 NETHERLANDS	76	89.5%	0.12
33	J.Gartaganis	🇨🇦 CANADA	73	89.0%	0.20
34	N.Gartaganis	🇨🇦 CANADA	73	89.0%	0.20
35	J.Carroll	🇮🇪 IRELAND	98	88.8%	0.15
36	T.Garvey	🇮🇪 IRELAND	98	88.8%	0.15
37	A.Almadi	🇦🇪 UNITED ARAB EMIRATES	84	88.1%	0.13
38	H.Attef	🇦🇪 UNITED ARAB EMIRATES	84	88.1%	0.13
39	P.Clemmensen	🇩🇰 DENMARK	83	88.0%	0.17
40	H.Graversen	🇩🇰 DENMARK	83	88.0%	0.17
41	J.Li	🇨🇳 CHINA	74	87.8%	0.12
42	B.Zhang	🇨🇳 CHINA	74	87.8%	0.12
43	F.Nystrom	🇸🇪 SWEDEN	80	87.5%	0.14
44	J.Upmark	🇸🇪 SWEDEN	80	87.5%	0.14
45	B.Drijver	🇳🇱 NETHERLANDS	64	87.5%	0.16
46	B.Nab	🇳🇱 NETHERLANDS	64	87.5%	0.16
47	J.Sylvan	🇸🇪 SWEDEN	119	87.4%	0.15
48	F.Wrang	🇸🇪 SWEDEN	119	87.4%	0.15
49	D.Bilde	🇩🇰 DENMARK	87	87.4%	0.16
50	M.Bilde	🇩🇰 DENMARK	87	87.4%	0.16
51	B.Gierulski	🇱🇹 LITHUANIA	110	87.3%	0.15
52	J.Skrzypczak	🇱🇹 LITHUANIA	110	87.3%	0.15
53	M.Dumbovich	🇭🇺 HUNGARY	85	87.1%	0.19
54	L.Szilagyi	🇭🇺 HUNGARY	85	87.1%	0.19
55	A.Babsch	🇦🇹 AUSTRIA	92	87.0%	0.17
56	A.Lindermann	🇦🇹 AUSTRIA	92	87.0%	0.17
57	T.Hanlon	🇮🇪 IRELAND	106	86.8%	0.15
58	H.Mcgann	🇮🇪 IRELAND	106	86.8%	0.15
59	F.Goded	🇪🇸 SPAIN	90	86.7%	0.14
60	L.Lantaron	🇪🇸 SPAIN	90	86.7%	0.14
61	A.Omran	🇪🇬 EGYPT	128	86.7%	0.25
62	J.Pelletier	🇬🇵 GUADELOUPE	80	86.2%	0.15
63	J.Cassin	🇬🇵 GUADELOUPE	72	86.1%	0.15
64	K.Nabil	🇪🇬 EGYPT	106	85.8%	0.28
65	R.Mieti	🇸🇲 SAN MARINO	89	85.4%	0.16
66	A.Treossi	🇸🇲 SAN MARINO	89	85.4%	0.16
67	J.Simon	🇦🇹 AUSTRIA	81	85.2%	0.18
68	C.Terraneo	🇦🇹 AUSTRIA	81	85.2%	0.18
69	A.Knap	🇪🇸 SPAIN	81	85.2%	0.21
70	A.Wasik	🇪🇸 SPAIN	81	85.2%	0.21
71	M.Elagamawy	🇦🇪 UNITED ARAB EMIRATES	80	85.0%	0.17
72	H.Ghonem	🇦🇪 UNITED ARAB EMIRATES	80	85.0%	0.17
73	D.Gerin	🇬🇵 GUADELOUPE	93	84.9%	0.18
74	J.Sarrola	🇬🇵 GUADELOUPE	85	84.7%	0.19
75	G.Tislevoll	🇳🇿 NEW ZEALAND	66	83.3%	0.18
76	M.Ware	🇳🇿 NEW ZEALAND	66	83.3%	0.18
77	K.Fergani	🇨🇦 CANADA	74	82.4%	0.36
78	F.Pollack	🇨🇦 CANADA	74	82.4%	0.36
79	N.L'Ecuyer	🇨🇦 CANADA	101	82.2%	0.21
80	Z.Marcinski	🇨🇦 CANADA	101	82.2%	0.21
81	A.Adamson	🏴󠁧󠁢󠁳󠁣󠁴󠁿 SCOTLAND	132	81.8%	0.20
82	S.Peterkin	🏴󠁧󠁢󠁳󠁣󠁴󠁿 SCOTLAND	132	81.8%	0.20
83	J.Bouveresse	🇬🇵 GUADELOUPE	82	81.7%	0.23
84	P.Mathieu	🇬🇵 GUADELOUPE	82	81.7%	0.23
85	S.Duncan	🏴󠁧󠁢󠁳󠁣󠁴󠁿 SCOTLAND	119	81.5%	0.24
86	D.Kane	🏴󠁧󠁢󠁳󠁣󠁴󠁿 SCOTLAND	119	81.5%	0.24
87	B.Amin	🇧🇩 BANGLADESH	96	81.2%	0.22
88	N.Hassan	🇧🇩 BANGLADESH	96	81.2%	0.22
89	S.Kamal N. H.	🇧🇩 BANGLADESH	61	80.3%	0.25
90	M.Salahuddin	🇧🇩 BANGLADESH	61	80.3%	0.25
91	G.Bartolacelli	🇸🇲 SAN MARINO	94	79.8%	0.26
92	M.Bertazzoni	🇸🇲 SAN MARINO	94	79.8%	0.26
93	S.Ahamed	🇧🇩 BANGLADESH	98	79.6%	0.24
94	D.Hanzala	🇧🇩 BANGLADESH	98	79.6%	0.24
95	G.Fazzardi	🇸🇲 SAN MARINO	90	75.6%	0.30
96	R.Soglia	🇸🇲 SAN MARINO	90	75.6%	0.30
97	M.Hindie	🇦🇪 UNITED ARAB EMIRATES	89	75.3%	0.33
98	MEKKY AMR	🇦🇪 UNITED ARAB EMIRATES	89	75.3%	0.33
99	H.Negm	🇪🇬 EGYPT	22	90.9%	0.09

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	S.Brink	🇳🇱 NETHERLANDS	160	-0.11	+1.49	+1.38	·
2	B.Drijver	🇳🇱 NETHERLANDS	160	-0.11	+1.49	+1.38	·
3	J.Sylvan	🇸🇪 SWEDEN	208	-0.20	+1.14	+0.94	·
4	F.Wrang	🇸🇪 SWEDEN	208	-0.20	+1.14	+0.94	·
5	W.Bieder	🇦🇹 AUSTRIA	176	+0.01	+0.88	+0.88	·
6	F.Terraneo	🇦🇹 AUSTRIA	176	+0.01	+0.88	+0.88	·
7	G.Goded Merino	🇪🇸 SPAIN	160	+0.06	+0.59	+0.66	▲2
8	J.Sabate	🇪🇸 SPAIN	160	+0.06	+0.59	+0.66	▲2
9	M.Brown	🇳🇿 NEW ZEALAND	192	-0.05	+0.59	+0.54	▲2
10	M.Whibley	🇳🇿 NEW ZEALAND	192	-0.05	+0.59	+0.54	▲2
11	A.Arlovich	🇱🇹 LITHUANIA	144	-0.14	+0.68	+0.54	▼4
12	E.Vainikonis	🇱🇹 LITHUANIA	144	-0.14	+0.68	+0.54	▼4
13	G.Hegedus	🇭🇺 HUNGARY	192	+0.19	+0.33	+0.52	▲19
14	B.Szegedi	🇭🇺 HUNGARY	192	+0.19	+0.33	+0.52	▲19
15	J.Simon	🇦🇹 AUSTRIA	160	-0.02	+0.53	+0.51	▲2
16	C.Terraneo	🇦🇹 AUSTRIA	160	-0.02	+0.53	+0.51	▲2
17	G.Tislevoll	🇳🇿 NEW ZEALAND	144	-0.04	+0.55	+0.51	▼4
18	M.Ware	🇳🇿 NEW ZEALAND	144	-0.04	+0.55	+0.51	▼4
19	M.Askgaard	🇩🇰 DENMARK	144	-0.04	+0.46	+0.43	·
20	K.Konow	🇩🇰 DENMARK	144	-0.04	+0.46	+0.43	·
21	K.Nabil	🇪🇬 EGYPT	208	-0.05	+0.46	+0.42	·
22	S.De Wijs	🇳🇱 NETHERLANDS	192	-0.01	+0.42	+0.41	·
23	B.Muller	🇳🇱 NETHERLANDS	192	-0.01	+0.42	+0.41	·
24	F.Goded	🇪🇸 SPAIN	176	-0.02	+0.39	+0.37	·
25	L.Lantaron	🇪🇸 SPAIN	176	-0.02	+0.39	+0.37	·
26	F.Nystrom	🇸🇪 SWEDEN	160	+0.24	+0.11	+0.34	▲27
27	J.Upmark	🇸🇪 SWEDEN	160	+0.24	+0.11	+0.34	▲27
28	K.Fergani	🇨🇦 CANADA	160	+0.04	+0.28	+0.32	▲10
29	F.Pollack	🇨🇦 CANADA	160	+0.04	+0.28	+0.32	▲10
30	A.Babsch	🇦🇹 AUSTRIA	176	-0.07	+0.37	+0.30	▼2
31	A.Lindermann	🇦🇹 AUSTRIA	176	-0.07	+0.37	+0.30	▼2
32	B.Drijver	🇳🇱 NETHERLANDS	160	-0.09	+0.39	+0.30	▼6
33	B.Nab	🇳🇱 NETHERLANDS	160	-0.09	+0.39	+0.30	▼6
34	T.Hanlon	🇮🇪 IRELAND	208	-0.03	+0.32	+0.29	▲2
35	H.Mcgann	🇮🇪 IRELAND	208	-0.03	+0.32	+0.29	▲2
36	P.Clemmensen	🇩🇰 DENMARK	176	-0.27	+0.54	+0.27	▼21
37	H.Graversen	🇩🇰 DENMARK	176	-0.27	+0.54	+0.27	▼21
38	A.Bach	🇳🇿 NEW ZEALAND	176	+0.01	+0.25	+0.26	▲4
39	M.Cornell	🇳🇿 NEW ZEALAND	176	+0.01	+0.25	+0.26	▲4
40	N.L'Ecuyer	🇨🇦 CANADA	192	-0.03	+0.28	+0.25	·
41	Z.Marcinski	🇨🇦 CANADA	192	-0.03	+0.28	+0.25	·
42	J.Carroll	🇮🇪 IRELAND	192	+0.14	+0.10	+0.24	▲13
43	T.Garvey	🇮🇪 IRELAND	192	+0.14	+0.10	+0.24	▲13
44	B.Gierulski	🇱🇹 LITHUANIA	208	+0.10	+0.12	+0.22	▲7
45	J.Skrzypczak	🇱🇹 LITHUANIA	208	+0.10	+0.12	+0.22	▲7
46	A.Omran	🇪🇬 EGYPT	256	-0.01	+0.23	+0.21	▼2
47	M.Dumbovich	🇭🇺 HUNGARY	160	+0.07	+0.12	+0.19	▲2
48	L.Szilagyi	🇭🇺 HUNGARY	160	+0.07	+0.12	+0.19	▲2
49	A.Knap	🇪🇸 SPAIN	176	-0.15	+0.32	+0.17	▼15
50	A.Wasik	🇪🇸 SPAIN	176	-0.15	+0.32	+0.17	▼15
51	J.Li	🇨🇳 CHINA	160	+0.32	-0.16	+0.17	▲16
52	B.Zhang	🇨🇳 CHINA	160	+0.32	-0.16	+0.17	▲16
53	J.Sarrola	🇬🇵 GUADELOUPE	176	+0.25	-0.09	+0.16	▲10
54	J.Gartaganis	🇨🇦 CANADA	160	-0.10	+0.22	+0.12	▼9
55	N.Gartaganis	🇨🇦 CANADA	160	-0.10	+0.22	+0.12	▼9
56	D.Gerin	🇬🇵 GUADELOUPE	192	+0.15	-0.12	+0.03	▲10
57	T.Bergdahl	🇸🇪 SWEDEN	144	-0.14	+0.16	+0.02	▼10
58	N.Warne	🇸🇪 SWEDEN	144	-0.14	+0.16	+0.02	▼10
59	D.Bilde	🇩🇰 DENMARK	192	+0.12	-0.12	-0.00	▲5
60	M.Bilde	🇩🇰 DENMARK	192	+0.12	-0.12	-0.00	▲5
61	R.Boland	🇮🇪 IRELAND	112	-0.39	+0.35	-0.04	▼31
62	M.Moran	🇮🇪 IRELAND	112	-0.39	+0.35	-0.04	▼31
63	R.Amiry	🇪🇬 EGYPT	256	-0.02	-0.06	-0.08	▼2
64	A.Samir	🇪🇬 EGYPT	256	-0.02	-0.06	-0.08	▼2
65	J.Dai	🇨🇳 CHINA	192	-0.17	+0.04	-0.13	▼8
66	L.Yang	🇨🇳 CHINA	192	-0.17	+0.04	-0.13	▼8
67	D.Gulyas	🇭🇺 HUNGARY	160	-0.18	+0.03	-0.15	▼8
68	B.Kotanyi	🇭🇺 HUNGARY	160	-0.18	+0.03	-0.15	▼8
69	Y.Chen	🇨🇳 CHINA	160	-0.06	-0.24	-0.30	·
70	W.Wang	🇨🇳 CHINA	160	-0.06	-0.24	-0.30	·
71	A.Adamson	🏴󠁧󠁢󠁳󠁣󠁴󠁿 SCOTLAND	256	-0.00	-0.33	-0.33	·
72	S.Peterkin	🏴󠁧󠁢󠁳󠁣󠁴󠁿 SCOTLAND	256	-0.00	-0.33	-0.33	·
73	G.Fazzardi	🇸🇲 SAN MARINO	176	+0.05	-0.47	-0.42	▲4
74	R.Soglia	🇸🇲 SAN MARINO	176	+0.05	-0.47	-0.42	▲4
75	M.Elagamawy	🇦🇪 UNITED ARAB EMIRATES	160	-0.03	-0.45	-0.48	·
76	H.Ghonem	🇦🇪 UNITED ARAB EMIRATES	160	-0.03	-0.45	-0.48	·
77	A.Almadi	🇦🇪 UNITED ARAB EMIRATES	176	-0.06	-0.44	-0.50	▼4
78	H.Attef	🇦🇪 UNITED ARAB EMIRATES	176	-0.06	-0.44	-0.50	▼4
79	W.Olanski	🇱🇹 LITHUANIA	160	-0.03	-0.49	-0.52	·
80	V.Vainikonis	🇱🇹 LITHUANIA	160	-0.03	-0.49	-0.52	·
81	J.Cassin	🇬🇵 GUADELOUPE	144	+0.12	-0.66	-0.54	▲3
82	J.Pelletier	🇬🇵 GUADELOUPE	160	+0.02	-0.64	-0.62	▲1
83	J.Bouveresse	🇬🇵 GUADELOUPE	176	-0.10	-0.63	-0.73	▼2
84	P.Mathieu	🇬🇵 GUADELOUPE	176	-0.10	-0.63	-0.73	▼2
85	M.Hindie	🇦🇪 UNITED ARAB EMIRATES	176	+0.23	-1.00	-0.77	▲6
86	MEKKY AMR	🇦🇪 UNITED ARAB EMIRATES	176	+0.23	-1.00	-0.77	▲6
87	S.Kamal N. H.	🇧🇩 BANGLADESH	144	+0.12	-0.90	-0.78	▼2
88	M.Salahuddin	🇧🇩 BANGLADESH	144	+0.12	-0.90	-0.78	▼2
89	S.Ahamed	🇧🇩 BANGLADESH	192	+0.05	-0.95	-0.90	▼2
90	D.Hanzala	🇧🇩 BANGLADESH	192	+0.05	-0.95	-0.90	▼2
91	S.Duncan	🏴󠁧󠁢󠁳󠁣󠁴󠁿 SCOTLAND	256	+0.05	-0.98	-0.93	▼2
92	D.Kane	🏴󠁧󠁢󠁳󠁣󠁴󠁿 SCOTLAND	256	+0.05	-0.98	-0.93	▼2
93	B.Amin	🇧🇩 BANGLADESH	176	+0.02	-1.04	-1.02	·
94	N.Hassan	🇧🇩 BANGLADESH	176	+0.02	-1.04	-1.02	·
95	G.Bartolacelli	🇸🇲 SAN MARINO	176	+0.20	-1.40	-1.20	▲2
96	M.Bertazzoni	🇸🇲 SAN MARINO	176	+0.20	-1.40	-1.20	▲2
97	R.Mieti	🇸🇲 SAN MARINO	160	+0.14	-1.39	-1.24	▼2
98	A.Treossi	🇸🇲 SAN MARINO	160	+0.14	-1.39	-1.24	▼2

Statistics