Salsomaggiore 2025 — 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	R.Guth	🇫🇷 FRANCE	88	+1.52	+134.0
2	M.Kurek Beaulieu	🇫🇷 FRANCE	88	+1.52	+134.0
3	K.Cichy	🇵🇱 POLAND	104	+1.24	+129.0
4	K.Kopka	🇵🇱 POLAND	104	+1.24	+129.0
5	C.He	🇨🇦 CANADA	104	+1.12	+117.0
6	C.Duffie	🇺🇸 USA2	128	+1.12	+143.0
7	J.Freeman	🇺🇸 USA2	128	+1.12	+143.0
8	O.Sabbah	🇮🇱 ISRAEL	104	+1.12	+116.0
9	Y.Sliwowicz	🇮🇱 ISRAEL	104	+1.12	+116.0
10	O.Nijssen	🇳🇱 NETHERLANDS	144	+1.03	+148.0
11	T.Van De Paverd	🇳🇱 NETHERLANDS	144	+1.03	+148.0
12	E.Hansson	🇸🇪 SWEDEN	112	+0.98	+110.0
13	C.Mann	🇸🇪 SWEDEN	112	+0.98	+110.0
14	A.Carletti	🇮🇹 ITALY	144	+0.96	+138.0
15	F.Porta	🇮🇹 ITALY	152	+0.95	+145.0
16	T.Guillemin	🇫🇷 FRANCE	104	+0.94	+98.0
17	L.Rombaut	🇫🇷 FRANCE	104	+0.94	+98.0
18	Z.Cheng	🇨🇦 CANADA	104	+0.85	+88.0
19	W.Bak	🇵🇱 POLAND	112	+0.77	+86.0
20	J.Bazyluk	🇵🇱 POLAND	112	+0.77	+86.0
21	Y.Poon	🇭🇰 HONG KONG CHINA	104	+0.48	+50.0
22	Y.Yun	🇭🇰 HONG KONG CHINA	104	+0.48	+50.0
23	D.Kapiris	🇬🇷 GREECE	136	+0.46	+62.0
24	I.Baniri	🇮🇱 ISRAEL	104	+0.41	+43.0
25	T.Loonstein	🇮🇱 ISRAEL	104	+0.41	+43.0
26	P.Skordas	🇬🇷 GREECE	144	+0.38	+54.0
27	C.Lahrmann	🇩🇰 DENMARK	152	+0.35	+53.0
28	D.Tylvad	🇩🇰 DENMARK	152	+0.35	+53.0
29	A.Rolf-Larsen	🇩🇰 DENMARK	144	+0.31	+45.0
30	G.Bartley	🇦🇺 AUSTRALIA	104	+0.31	+32.0
31	G.Morgan	🇦🇺 AUSTRALIA	104	+0.31	+32.0
32	F.Kolesnik	🇺🇸 USA1	120	+0.29	+35.0
33	M.Xu	🇺🇸 USA1	120	+0.29	+35.0
34	J.Chen	🇨🇳 CHINA	96	+0.29	+28.0
35	Y.Wen	🇨🇳 CHINA	96	+0.29	+28.0
36	B.Jiang	🇨🇳 CHINA	104	+0.25	+26.0
37	Y.Niu	🇨🇳 CHINA	104	+0.25	+26.0
38	A.Abragi	🇸🇪 SWEDEN	88	+0.16	+14.0
39	I.Lichtenstein	🇸🇪 SWEDEN	88	+0.16	+14.0
40	D.Brandgaard	🇩🇰 DENMARK	152	+0.15	+23.0
41	Z.Li	🇨🇳 CHINA	104	+0.13	+14.0
42	Z.Wang	🇨🇳 CHINA	104	+0.13	+14.0
43	H.Luba	🇺🇸 USA1	120	+0.07	+8.0
44	B.Zhu	🇺🇸 USA1	120	+0.07	+8.0
45	A.Seto	🇭🇰 HONG KONG CHINA	104	+0.05	+5.0
46	L.To	🇭🇰 HONG KONG CHINA	104	+0.05	+5.0
47	P.Kongngern	🇹🇭 THAILAND	96	+0.03	+3.0
48	P.Phansamdaeng	🇹🇭 THAILAND	96	+0.03	+3.0
49	M.Fragola	🇫🇷 FRANCE	112	+0.00	+0.0
50	N.Tabata	🇫🇷 FRANCE	112	+0.00	+0.0
51	K.Yagishita	🇯🇵 JAPAN	112	-0.02	-2.0
52	T.Inami	🇯🇵 JAPAN	128	-0.05	-7.0
53	S.Anoyrkatis	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	88	-0.06	-5.0
54	L.Fegarty	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	88	-0.06	-5.0
55	S.Clementsson	🇸🇪 SWEDEN	104	-0.06	-6.0
56	A.Sandin	🇸🇪 SWEDEN	104	-0.06	-6.0
57	D.Molina	🇦🇷 ARGENTINA	152	-0.10	-15.0
58	C.Yanez	🇦🇷 ARGENTINA	152	-0.10	-15.0
59	M.Kedzierski	🇵🇱 POLAND	88	-0.12	-11.0
60	R.Madej	🇵🇱 POLAND	88	-0.12	-11.0
61	R.Jeng	🇺🇸 USA2	128	-0.13	-17.0
62	B.Xiao	🇺🇸 USA2	128	-0.13	-17.0
63	S.Kocharoen	🇹🇭 THAILAND	120	-0.15	-18.0
64	P.Promjan	🇹🇭 THAILAND	120	-0.15	-18.0
65	M.Lombardi	🇮🇹 ITALY	152	-0.15	-23.0
66	K.Takizawa	🇯🇵 JAPAN	128	-0.16	-21.0
67	T.Chowdhury	🇮🇳 INDIA	136	-0.18	-24.0
68	T.Rodrigues	🇮🇳 INDIA	136	-0.18	-24.0
69	Y.Song	🇯🇵 JAPAN	128	-0.18	-23.0
70	L.Sanderson	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	120	-0.28	-34.0
71	D.Winter	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	120	-0.28	-34.0
72	M.Soumplis	🇬🇷 GREECE	136	-0.32	-44.0
73	I.Papaspyrou	🇬🇷 GREECE	136	-0.32	-44.0
74	M.Sieredzinski	🇦🇺 AUSTRALIA	96	-0.33	-32.0
75	H.Watkins	🇦🇺 AUSTRALIA	96	-0.33	-32.0
76	N.Khutorsky	🇮🇱 ISRAEL	96	-0.35	-34.0
77	A.Zeitak	🇮🇱 ISRAEL	96	-0.35	-34.0
78	L.Draghi	🇮🇹 ITALY	136	-0.37	-50.0
79	S.Ballav	🇮🇳 INDIA	96	-0.40	-38.0
80	D.Banerjee	🇮🇳 INDIA	96	-0.40	-38.0
81	E.Ng	🇭🇰 HONG KONG CHINA	96	-0.45	-43.0
82	J.Yan	🇭🇰 HONG KONG CHINA	96	-0.45	-43.0
83	A.Cope	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	96	-0.46	-44.0
84	O.Selby	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	96	-0.46	-44.0
85	G.Biondillo Rodrigues	🇧🇷 BRAZIL	88	-0.55	-48.0
86	M.Hu	🇺🇸 USA1	64	-0.56	-36.0
87	E.Wood	🇺🇸 USA1	64	-0.56	-36.0
88	H.Martins Fortes	🇧🇷 BRAZIL	96	-0.56	-54.0
89	Q.Chen	🇨🇦 CANADA	112	-0.61	-68.0
90	H.Salomao	🇧🇷 BRAZIL	152	-0.73	-111.0
91	O.Laufer	🇨🇦 CANADA	104	-0.79	-82.0
92	L.Ceglia	🇧🇷 BRAZIL	96	-0.82	-79.0
93	X.Friesen	🇳🇱 NETHERLANDS	136	-0.82	-112.0
94	R.Goor	🇳🇱 NETHERLANDS	136	-0.82	-112.0
95	K.Macdonald	🇦🇺 AUSTRALIA	104	-0.85	-88.0
96	Z.Ross	🇦🇺 AUSTRALIA	104	-0.85	-88.0
97	K.Noguchi	🇯🇵 JAPAN	112	-0.97	-109.0
98	S.Schuschny	🇦🇷 ARGENTINA	152	-0.97	-148.0
99	A.Thomas	🇦🇷 ARGENTINA	152	-0.97	-148.0
100	M.Zhao	🇨🇦 CANADA	96	-1.02	-98.0
101	C.Havens	🇨🇦 CANADA	88	-1.06	-93.0
102	D.Nilchay	🇹🇭 THAILAND	88	-1.31	-115.0
103	S.Sonyindee	🇹🇭 THAILAND	88	-1.31	-115.0
104	M.De Almeida Vasconcelos	🇧🇷 BRAZIL	88	-1.72	-151.0
105	M.Frei Malta Castro	🇧🇷 BRAZIL	88	-1.72	-151.0
106	R.Jahagirdar	🇮🇳 INDIA	72	-1.82	-131.0
107	V.Patel	🇮🇳 INDIA	72	-1.82	-131.0
108	C.Brusotti	🇮🇹 ITALY	24	+1.42	+34.0
109	S.Goor	🇳🇱 NETHERLANDS	24	+0.88	+21.0
110	T.Westerveld	🇳🇱 NETHERLANDS	24	+0.88	+21.0
111	O.Schireson	🇺🇸 USA2	48	-0.65	-31.0
112	R.Xiao	🇺🇸 USA2	48	-0.65	-31.0
113	E.Petraki	🇬🇷 GREECE	16	-0.81	-13.0
114	I.Pollatou	🇬🇷 GREECE	40	-1.02	-41.0
115	V.Kolding	🇩🇰 DENMARK	8	-2.75	-22.0

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	T.Guillemin	🇫🇷 FRANCE	22	95.5%	0.04
2	O.Selby	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	20	95.0%	0.05
3	M.Xu	🇺🇸 USA1	31	93.5%	0.07
4	R.Goor	🇳🇱 NETHERLANDS	31	93.5%	0.07
5	R.Madej	🇵🇱 POLAND	15	93.3%	0.07
6	Z.Ross	🇦🇺 AUSTRALIA	27	92.6%	0.07
7	K.Noguchi	🇯🇵 JAPAN	24	91.7%	0.08
8	H.Martins Fortes	🇧🇷 BRAZIL	24	91.7%	0.08
9	T.Loonstein	🇮🇱 ISRAEL	23	91.3%	0.09
10	Y.Sliwowicz	🇮🇱 ISRAEL	32	90.6%	0.09
11	A.Cope	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	21	90.5%	0.14
12	M.Lombardi	🇮🇹 ITALY	29	89.7%	0.10
13	Y.Niu	🇨🇳 CHINA	29	89.7%	0.24
14	R.Jeng	🇺🇸 USA2	18	88.9%	0.11
15	Z.Cheng	🇨🇦 CANADA	26	88.5%	0.12
16	M.De Almeida Vasconcelos	🇧🇷 BRAZIL	17	88.2%	0.12
17	I.Papaspyrou	🇬🇷 GREECE	41	87.8%	0.15
18	M.Soumplis	🇬🇷 GREECE	24	87.5%	0.12
19	A.Abragi	🇸🇪 SWEDEN	24	87.5%	0.12
20	G.Morgan	🇦🇺 AUSTRALIA	24	87.5%	0.12
21	H.Salomao	🇧🇷 BRAZIL	32	87.5%	0.12
22	P.Promjan	🇹🇭 THAILAND	32	87.5%	0.16
23	L.Draghi	🇮🇹 ITALY	31	87.1%	0.16
24	L.To	🇭🇰 HONG KONG CHINA	23	87.0%	0.17
25	J.Chen	🇨🇳 CHINA	29	86.2%	0.21
26	D.Kapiris	🇬🇷 GREECE	36	86.1%	0.14
27	N.Khutorsky	🇮🇱 ISRAEL	35	85.7%	0.14
28	I.Lichtenstein	🇸🇪 SWEDEN	14	85.7%	0.14
29	A.Seto	🇭🇰 HONG KONG CHINA	21	85.7%	0.14
30	C.He	🇨🇦 CANADA	28	85.7%	0.21
31	Q.Chen	🇨🇦 CANADA	27	85.2%	0.15
32	M.Frei Malta Castro	🇧🇷 BRAZIL	27	85.2%	0.15
33	C.Yanez	🇦🇷 ARGENTINA	47	85.1%	0.17
34	E.Ng	🇭🇰 HONG KONG CHINA	20	85.0%	0.15
35	S.Anoyrkatis	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	20	85.0%	0.15
36	M.Hu	🇺🇸 USA1	20	85.0%	0.15
37	J.Yan	🇭🇰 HONG KONG CHINA	33	84.8%	0.15
38	A.Carletti	🇮🇹 ITALY	39	84.6%	0.15
39	D.Brandgaard	🇩🇰 DENMARK	39	84.6%	0.20
40	Y.Poon	🇭🇰 HONG KONG CHINA	38	84.2%	0.16
41	R.Jahagirdar	🇮🇳 INDIA	19	84.2%	0.16
42	G.Biondillo Rodrigues	🇧🇷 BRAZIL	25	84.0%	0.16
43	N.Tabata	🇫🇷 FRANCE	31	83.9%	0.16
44	F.Porta	🇮🇹 ITALY	37	83.8%	0.19
45	D.Banerjee	🇮🇳 INDIA	18	83.3%	0.17
46	T.Inami	🇯🇵 JAPAN	42	83.3%	0.21
47	J.Bazyluk	🇵🇱 POLAND	24	83.3%	0.25
48	M.Kedzierski	🇵🇱 POLAND	29	82.8%	0.17
49	M.Zhao	🇨🇦 CANADA	22	81.8%	0.18
50	Y.Yun	🇭🇰 HONG KONG CHINA	22	81.8%	0.23
51	K.Kopka	🇵🇱 POLAND	27	81.5%	0.18
52	S.Sonyindee	🇹🇭 THAILAND	16	81.2%	0.19
53	K.Cichy	🇵🇱 POLAND	32	81.2%	0.31
54	D.Nilchay	🇹🇭 THAILAND	21	81.0%	0.19
55	Y.Wen	🇨🇳 CHINA	21	81.0%	0.29
56	B.Jiang	🇨🇳 CHINA	20	80.0%	0.20
57	K.Yagishita	🇯🇵 JAPAN	30	80.0%	0.20
58	L.Ceglia	🇧🇷 BRAZIL	30	80.0%	0.20
59	F.Kolesnik	🇺🇸 USA1	35	80.0%	0.23
60	H.Luba	🇺🇸 USA1	25	80.0%	0.24
61	D.Molina	🇦🇷 ARGENTINA	45	80.0%	0.24
62	M.Sieredzinski	🇦🇺 AUSTRALIA	20	80.0%	0.25
63	O.Sabbah	🇮🇱 ISRAEL	25	80.0%	0.28
64	D.Winter	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	39	79.5%	0.20
65	C.Duffie	🇺🇸 USA2	34	79.4%	0.23
66	K.Macdonald	🇦🇺 AUSTRALIA	34	79.4%	0.23
67	R.Guth	🇫🇷 FRANCE	24	79.2%	0.21
68	E.Hansson	🇸🇪 SWEDEN	24	79.2%	0.21
69	P.Kongngern	🇹🇭 THAILAND	24	79.2%	0.21
70	S.Clementsson	🇸🇪 SWEDEN	24	79.2%	0.25
71	A.Rolf-Larsen	🇩🇰 DENMARK	33	78.8%	0.24
72	J.Freeman	🇺🇸 USA2	37	78.4%	0.24
73	T.Van De Paverd	🇳🇱 NETHERLANDS	37	78.4%	0.30
74	I.Baniri	🇮🇱 ISRAEL	23	78.3%	0.22
75	Z.Li	🇨🇳 CHINA	23	78.3%	0.22
76	S.Kocharoen	🇹🇭 THAILAND	32	78.1%	0.22
77	L.Rombaut	🇫🇷 FRANCE	31	77.4%	0.29
78	W.Bak	🇵🇱 POLAND	22	77.3%	0.36
79	G.Bartley	🇦🇺 AUSTRALIA	35	77.1%	0.23
80	D.Tylvad	🇩🇰 DENMARK	35	77.1%	0.26
81	A.Zeitak	🇮🇱 ISRAEL	13	76.9%	0.23
82	S.Ballav	🇮🇳 INDIA	26	76.9%	0.23
83	X.Friesen	🇳🇱 NETHERLANDS	26	76.9%	0.23
84	B.Xiao	🇺🇸 USA2	39	76.9%	0.31
85	Z.Wang	🇨🇳 CHINA	26	76.9%	0.31
86	B.Zhu	🇺🇸 USA1	30	76.7%	0.23
87	C.Mann	🇸🇪 SWEDEN	34	76.5%	0.23
88	V.Patel	🇮🇳 INDIA	17	76.5%	0.23
89	H.Watkins	🇦🇺 AUSTRALIA	21	76.2%	0.33
90	M.Kurek Beaulieu	🇫🇷 FRANCE	25	76.0%	0.24
91	O.Nijssen	🇳🇱 NETHERLANDS	25	76.0%	0.24
92	P.Skordas	🇬🇷 GREECE	41	75.6%	0.24
93	O.Laufer	🇨🇦 CANADA	24	75.0%	0.29
94	Y.Song	🇯🇵 JAPAN	32	75.0%	0.31
95	M.Fragola	🇫🇷 FRANCE	28	75.0%	0.36
96	K.Takizawa	🇯🇵 JAPAN	31	74.2%	0.29
97	S.Schuschny	🇦🇷 ARGENTINA	46	73.9%	0.35
98	C.Lahrmann	🇩🇰 DENMARK	37	73.0%	0.35
99	L.Sanderson	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	29	72.4%	0.38
100	A.Thomas	🇦🇷 ARGENTINA	39	71.8%	0.39
101	C.Havens	🇨🇦 CANADA	21	71.4%	0.29
102	L.Fegarty	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	23	69.6%	0.39
103	P.Phansamdaeng	🇹🇭 THAILAND	29	69.0%	0.31
104	T.Chowdhury	🇮🇳 INDIA	42	69.0%	0.41
105	T.Rodrigues	🇮🇳 INDIA	32	68.8%	0.34
106	A.Sandin	🇸🇪 SWEDEN	18	66.7%	0.33
107	E.Wood	🇺🇸 USA1	14	64.3%	0.36
108	T.Westerveld	🇳🇱 NETHERLANDS	5	100.0%	0.00
109	V.Kolding	🇩🇰 DENMARK	2	100.0%	0.00
110	R.Xiao	🇺🇸 USA2	15	86.7%	0.20
111	O.Schireson	🇺🇸 USA2	6	83.3%	0.17
112	C.Brusotti	🇮🇹 ITALY	4	75.0%	0.25
113	S.Goor	🇳🇱 NETHERLANDS	8	75.0%	0.25
114	I.Pollatou	🇬🇷 GREECE	8	62.5%	0.50
115	E.Petraki	🇬🇷 GREECE	3	33.3%	1.33

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	Z.Wang	🇨🇳 CHINA	27	92.6%	0.07
2	F.Kolesnik	🇺🇸 USA1	25	92.0%	0.08
3	C.Mann	🇸🇪 SWEDEN	25	92.0%	0.08
4	L.Draghi	🇮🇹 ITALY	36	88.9%	0.14
5	D.Brandgaard	🇩🇰 DENMARK	41	87.8%	0.17
6	J.Chen	🇨🇳 CHINA	24	87.5%	0.12
7	V.Patel	🇮🇳 INDIA	16	87.5%	0.12
8	T.Van De Paverd	🇳🇱 NETHERLANDS	40	87.5%	0.15
9	Y.Sliwowicz	🇮🇱 ISRAEL	24	87.5%	0.17
10	P.Phansamdaeng	🇹🇭 THAILAND	23	87.0%	0.13
11	J.Freeman	🇺🇸 USA2	30	86.7%	0.17
12	W.Bak	🇵🇱 POLAND	29	86.2%	0.24
13	A.Rolf-Larsen	🇩🇰 DENMARK	34	85.3%	0.18
14	R.Guth	🇫🇷 FRANCE	20	85.0%	0.20
15	L.Fegarty	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	19	84.2%	0.21
16	B.Zhu	🇺🇸 USA1	25	84.0%	0.20
17	A.Abragi	🇸🇪 SWEDEN	24	83.3%	0.21
18	L.Rombaut	🇫🇷 FRANCE	29	82.8%	0.17
19	K.Yagishita	🇯🇵 JAPAN	23	82.6%	0.17
20	J.Yan	🇭🇰 HONG KONG CHINA	22	81.8%	0.18
21	A.Carletti	🇮🇹 ITALY	38	81.6%	0.21
22	M.Fragola	🇫🇷 FRANCE	27	81.5%	0.18
23	A.Zeitak	🇮🇱 ISRAEL	27	81.5%	0.18
24	D.Banerjee	🇮🇳 INDIA	16	81.2%	0.25
25	J.Bazyluk	🇵🇱 POLAND	37	81.1%	0.32
26	N.Tabata	🇫🇷 FRANCE	26	80.8%	0.23
27	G.Bartley	🇦🇺 AUSTRALIA	25	80.0%	0.20
28	M.Hu	🇺🇸 USA1	10	80.0%	0.20
29	O.Selby	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	25	80.0%	0.20
30	K.Kopka	🇵🇱 POLAND	20	80.0%	0.25
31	D.Nilchay	🇹🇭 THAILAND	30	80.0%	0.30
32	G.Morgan	🇦🇺 AUSTRALIA	20	80.0%	0.35
33	D.Kapiris	🇬🇷 GREECE	33	78.8%	0.33
34	O.Sabbah	🇮🇱 ISRAEL	23	78.3%	0.22
35	C.Lahrmann	🇩🇰 DENMARK	46	78.3%	0.26
36	C.Duffie	🇺🇸 USA2	27	77.8%	0.26
37	H.Luba	🇺🇸 USA1	40	77.5%	0.30
38	I.Lichtenstein	🇸🇪 SWEDEN	26	76.9%	0.23
39	D.Molina	🇦🇷 ARGENTINA	26	76.9%	0.35
40	T.Rodrigues	🇮🇳 INDIA	26	76.9%	0.39
41	I.Baniri	🇮🇱 ISRAEL	30	76.7%	0.33
42	R.Goor	🇳🇱 NETHERLANDS	42	76.2%	0.29
43	L.Ceglia	🇧🇷 BRAZIL	21	76.2%	0.29
44	M.Lombardi	🇮🇹 ITALY	46	76.1%	0.33
45	K.Cichy	🇵🇱 POLAND	25	76.0%	0.28
46	M.Zhao	🇨🇦 CANADA	29	75.9%	0.34
47	A.Seto	🇭🇰 HONG KONG CHINA	37	75.7%	0.30
48	F.Porta	🇮🇹 ITALY	40	75.0%	0.25
49	Z.Ross	🇦🇺 AUSTRALIA	20	75.0%	0.25
50	Z.Li	🇨🇳 CHINA	28	75.0%	0.29
51	B.Jiang	🇨🇳 CHINA	24	75.0%	0.29
52	D.Winter	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	24	75.0%	0.29
53	H.Watkins	🇦🇺 AUSTRALIA	24	75.0%	0.29
54	T.Chowdhury	🇮🇳 INDIA	36	75.0%	0.31
55	I.Papaspyrou	🇬🇷 GREECE	39	74.4%	0.39
56	L.To	🇭🇰 HONG KONG CHINA	23	73.9%	0.30
57	D.Tylvad	🇩🇰 DENMARK	34	73.5%	0.35
58	M.Sieredzinski	🇦🇺 AUSTRALIA	30	73.3%	0.30
59	X.Friesen	🇳🇱 NETHERLANDS	37	73.0%	0.27
60	S.Clementsson	🇸🇪 SWEDEN	33	72.7%	0.27
61	Y.Yun	🇭🇰 HONG KONG CHINA	22	72.7%	0.41
62	E.Hansson	🇸🇪 SWEDEN	29	72.4%	0.31
63	S.Ballav	🇮🇳 INDIA	36	72.2%	0.31
64	H.Martins Fortes	🇧🇷 BRAZIL	25	72.0%	0.28
65	O.Nijssen	🇳🇱 NETHERLANDS	42	71.4%	0.29
66	C.Havens	🇨🇦 CANADA	28	71.4%	0.29
67	L.Sanderson	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	28	71.4%	0.32
68	S.Sonyindee	🇹🇭 THAILAND	21	71.4%	0.33
69	B.Xiao	🇺🇸 USA2	35	71.4%	0.37
70	N.Khutorsky	🇮🇱 ISRAEL	21	71.4%	0.38
71	E.Ng	🇭🇰 HONG KONG CHINA	21	71.4%	0.38
72	K.Noguchi	🇯🇵 JAPAN	31	71.0%	0.29
73	M.Kedzierski	🇵🇱 POLAND	17	70.6%	0.29
74	M.Soumplis	🇬🇷 GREECE	34	70.6%	0.32
75	R.Madej	🇵🇱 POLAND	27	70.4%	0.33
76	O.Laufer	🇨🇦 CANADA	27	70.4%	0.33
77	A.Cope	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	30	70.0%	0.30
78	P.Skordas	🇬🇷 GREECE	30	70.0%	0.33
79	P.Kongngern	🇹🇭 THAILAND	20	70.0%	0.35
80	Z.Cheng	🇨🇦 CANADA	30	70.0%	0.37
81	R.Jeng	🇺🇸 USA2	36	69.4%	0.47
82	M.Kurek Beaulieu	🇫🇷 FRANCE	19	68.4%	0.37
83	Y.Poon	🇭🇰 HONG KONG CHINA	22	68.2%	0.36
84	Y.Wen	🇨🇳 CHINA	22	68.2%	0.41
85	T.Guillemin	🇫🇷 FRANCE	22	68.2%	0.55
86	S.Schuschny	🇦🇷 ARGENTINA	31	67.7%	0.35
87	C.Yanez	🇦🇷 ARGENTINA	34	67.6%	0.41
88	C.He	🇨🇦 CANADA	18	66.7%	0.39
89	T.Inami	🇯🇵 JAPAN	27	66.7%	0.41
90	M.Xu	🇺🇸 USA1	29	65.5%	0.41
91	K.Macdonald	🇦🇺 AUSTRALIA	23	65.2%	0.48
92	Y.Song	🇯🇵 JAPAN	34	64.7%	0.38
93	Y.Niu	🇨🇳 CHINA	31	64.5%	0.42
94	T.Loonstein	🇮🇱 ISRAEL	28	64.3%	0.39
95	P.Promjan	🇹🇭 THAILAND	28	64.3%	0.46
96	S.Kocharoen	🇹🇭 THAILAND	28	64.3%	0.57
97	H.Salomao	🇧🇷 BRAZIL	47	63.8%	0.51
98	K.Takizawa	🇯🇵 JAPAN	30	63.3%	0.43
99	E.Wood	🇺🇸 USA1	19	63.2%	0.53
100	A.Sandin	🇸🇪 SWEDEN	29	62.1%	0.52
101	S.Anoyrkatis	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	26	57.7%	0.42
102	M.De Almeida Vasconcelos	🇧🇷 BRAZIL	23	56.5%	0.65
103	A.Thomas	🇦🇷 ARGENTINA	36	55.6%	0.67
104	Q.Chen	🇨🇦 CANADA	24	50.0%	0.67
105	G.Biondillo Rodrigues	🇧🇷 BRAZIL	19	47.4%	0.63
106	R.Jahagirdar	🇮🇳 INDIA	20	40.0%	0.85
107	M.Frei Malta Castro	🇧🇷 BRAZIL	14	35.7%	0.86
108	C.Brusotti	🇮🇹 ITALY	4	100.0%	0.00
109	S.Goor	🇳🇱 NETHERLANDS	6	100.0%	0.00
110	T.Westerveld	🇳🇱 NETHERLANDS	5	100.0%	0.00
111	O.Schireson	🇺🇸 USA2	11	72.7%	0.36
112	I.Pollatou	🇬🇷 GREECE	11	72.7%	0.55
113	R.Xiao	🇺🇸 USA2	16	68.8%	0.50
114	V.Kolding	🇩🇰 DENMARK	3	33.3%	0.67
115	E.Petraki	🇬🇷 GREECE	4	25.0%	1.50

Defensive accuracy↑ top

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

#	Player	Team	Boards	On target	Conceded
1	M.Fragola	🇫🇷 FRANCE	59	96.6%	0.03
2	N.Tabata	🇫🇷 FRANCE	59	96.6%	0.03
3	E.Hansson	🇸🇪 SWEDEN	58	94.8%	0.05
4	C.Mann	🇸🇪 SWEDEN	58	94.8%	0.05
5	O.Nijssen	🇳🇱 NETHERLANDS	62	93.5%	0.07
6	T.Van De Paverd	🇳🇱 NETHERLANDS	62	93.5%	0.07
7	I.Baniri	🇮🇱 ISRAEL	46	93.5%	0.07
8	T.Loonstein	🇮🇱 ISRAEL	46	93.5%	0.07
9	M.Kedzierski	🇵🇱 POLAND	44	93.2%	0.09
10	R.Madej	🇵🇱 POLAND	44	93.2%	0.09
11	R.Guth	🇫🇷 FRANCE	49	91.8%	0.08
12	M.Kurek Beaulieu	🇫🇷 FRANCE	49	91.8%	0.08
13	O.Laufer	🇨🇦 CANADA	48	91.7%	0.15
14	W.Bak	🇵🇱 POLAND	46	91.3%	0.13
15	J.Bazyluk	🇵🇱 POLAND	46	91.3%	0.13
16	S.Anoyrkatis	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	43	90.7%	0.12
17	L.Fegarty	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	43	90.7%	0.12
18	M.Zhao	🇨🇦 CANADA	43	90.7%	0.16
19	C.Lahrmann	🇩🇰 DENMARK	72	90.3%	0.11
20	D.Tylvad	🇩🇰 DENMARK	72	90.3%	0.11
21	N.Khutorsky	🇮🇱 ISRAEL	48	89.6%	0.12
22	A.Zeitak	🇮🇱 ISRAEL	48	89.6%	0.12
23	F.Kolesnik	🇺🇸 USA1	66	89.4%	0.12
24	M.Xu	🇺🇸 USA1	66	89.4%	0.12
25	I.Papaspyrou	🇬🇷 GREECE	65	89.2%	0.14
26	T.Inami	🇯🇵 JAPAN	72	88.9%	0.14
27	Y.Song	🇯🇵 JAPAN	61	88.5%	0.12
28	M.Hu	🇺🇸 USA1	34	88.2%	0.18
29	E.Wood	🇺🇸 USA1	34	88.2%	0.18
30	F.Porta	🇮🇹 ITALY	75	88.0%	0.15
31	Z.Li	🇨🇳 CHINA	49	87.8%	0.12
32	Z.Wang	🇨🇳 CHINA	49	87.8%	0.12
33	T.Chowdhury	🇮🇳 INDIA	74	87.8%	0.14
34	T.Rodrigues	🇮🇳 INDIA	74	87.8%	0.14
35	B.Jiang	🇨🇳 CHINA	49	87.8%	0.14
36	Y.Niu	🇨🇳 CHINA	49	87.8%	0.14
37	R.Jeng	🇺🇸 USA2	57	87.7%	0.12
38	B.Xiao	🇺🇸 USA2	57	87.7%	0.12
39	X.Friesen	🇳🇱 NETHERLANDS	57	87.7%	0.17
40	R.Goor	🇳🇱 NETHERLANDS	57	87.7%	0.17
41	H.Luba	🇺🇸 USA1	55	87.3%	0.14
42	B.Zhu	🇺🇸 USA1	55	87.3%	0.14
43	M.Soumplis	🇬🇷 GREECE	63	87.3%	0.16
44	A.Carletti	🇮🇹 ITALY	68	86.8%	0.15
45	P.Kongngern	🇹🇭 THAILAND	53	86.8%	0.15
46	P.Phansamdaeng	🇹🇭 THAILAND	53	86.8%	0.15
47	K.Takizawa	🇯🇵 JAPAN	68	86.8%	0.16
48	A.Abragi	🇸🇪 SWEDEN	38	86.8%	0.18
49	I.Lichtenstein	🇸🇪 SWEDEN	38	86.8%	0.18
50	K.Cichy	🇵🇱 POLAND	59	86.4%	0.19
51	K.Kopka	🇵🇱 POLAND	59	86.4%	0.19
52	O.Sabbah	🇮🇱 ISRAEL	57	86.0%	0.16
53	Y.Sliwowicz	🇮🇱 ISRAEL	57	86.0%	0.16
54	S.Kocharoen	🇹🇭 THAILAND	64	85.9%	0.17
55	P.Promjan	🇹🇭 THAILAND	64	85.9%	0.17
56	Q.Chen	🇨🇦 CANADA	54	85.2%	0.15
57	K.Yagishita	🇯🇵 JAPAN	66	84.8%	0.18
58	K.Noguchi	🇯🇵 JAPAN	51	84.3%	0.20
59	S.Ballav	🇮🇳 INDIA	44	84.1%	0.16
60	D.Banerjee	🇮🇳 INDIA	44	84.1%	0.16
61	J.Chen	🇨🇳 CHINA	50	84.0%	0.20
62	Y.Wen	🇨🇳 CHINA	50	84.0%	0.20
63	S.Clementsson	🇸🇪 SWEDEN	42	83.3%	0.19
64	A.Sandin	🇸🇪 SWEDEN	42	83.3%	0.19
65	P.Skordas	🇬🇷 GREECE	77	83.1%	0.21
66	A.Rolf-Larsen	🇩🇰 DENMARK	70	82.9%	0.23
67	L.Draghi	🇮🇹 ITALY	57	82.5%	0.23
68	L.Sanderson	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	68	82.4%	0.19
69	D.Winter	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	68	82.4%	0.19
70	K.Macdonald	🇦🇺 AUSTRALIA	61	82.0%	0.21
71	Z.Ross	🇦🇺 AUSTRALIA	61	82.0%	0.21
72	C.Duffie	🇺🇸 USA2	71	81.7%	0.21
73	J.Freeman	🇺🇸 USA2	71	81.7%	0.21
74	G.Bartley	🇦🇺 AUSTRALIA	59	81.4%	0.20
75	G.Morgan	🇦🇺 AUSTRALIA	59	81.4%	0.20
76	D.Brandgaard	🇩🇰 DENMARK	74	81.1%	0.24
77	T.Guillemin	🇫🇷 FRANCE	53	81.1%	0.24
78	L.Rombaut	🇫🇷 FRANCE	53	81.1%	0.24
79	D.Kapiris	🇬🇷 GREECE	72	80.6%	0.24
80	R.Jahagirdar	🇮🇳 INDIA	36	80.6%	0.31
81	V.Patel	🇮🇳 INDIA	36	80.6%	0.31
82	C.Havens	🇨🇦 CANADA	41	80.5%	0.20
83	D.Molina	🇦🇷 ARGENTINA	92	80.4%	0.25
84	C.Yanez	🇦🇷 ARGENTINA	92	80.4%	0.25
85	M.Frei Malta Castro	🇧🇷 BRAZIL	51	80.4%	0.28
86	M.Lombardi	🇮🇹 ITALY	65	80.0%	0.26
87	D.Nilchay	🇹🇭 THAILAND	37	78.4%	0.22
88	S.Sonyindee	🇹🇭 THAILAND	37	78.4%	0.22
89	S.Schuschny	🇦🇷 ARGENTINA	85	77.6%	0.26
90	A.Thomas	🇦🇷 ARGENTINA	85	77.6%	0.26
91	L.Ceglia	🇧🇷 BRAZIL	52	76.9%	0.29
92	Y.Poon	🇭🇰 HONG KONG CHINA	60	76.7%	0.27
93	Y.Yun	🇭🇰 HONG KONG CHINA	60	76.7%	0.27
94	C.He	🇨🇦 CANADA	55	76.4%	0.27
95	Z.Cheng	🇨🇦 CANADA	55	76.4%	0.27
96	A.Cope	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	41	75.6%	0.32
97	O.Selby	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	41	75.6%	0.32
98	A.Seto	🇭🇰 HONG KONG CHINA	44	75.0%	0.32
99	L.To	🇭🇰 HONG KONG CHINA	44	75.0%	0.32
100	H.Salomao	🇧🇷 BRAZIL	73	74.0%	0.30
101	E.Ng	🇭🇰 HONG KONG CHINA	53	73.6%	0.28
102	J.Yan	🇭🇰 HONG KONG CHINA	53	73.6%	0.28
103	M.Sieredzinski	🇦🇺 AUSTRALIA	41	73.2%	0.34
104	H.Watkins	🇦🇺 AUSTRALIA	41	73.2%	0.34
105	H.Martins Fortes	🇧🇷 BRAZIL	48	72.9%	0.42
106	M.De Almeida Vasconcelos	🇧🇷 BRAZIL	44	70.5%	0.39
107	G.Biondillo Rodrigues	🇧🇷 BRAZIL	42	69.0%	0.43
108	S.Goor	🇳🇱 NETHERLANDS	13	100.0%	0.00
109	T.Westerveld	🇳🇱 NETHERLANDS	13	100.0%	0.00
110	E.Petraki	🇬🇷 GREECE	7	100.0%	0.00
111	I.Pollatou	🇬🇷 GREECE	22	100.0%	0.00
112	O.Schireson	🇺🇸 USA2	21	90.5%	0.10
113	R.Xiao	🇺🇸 USA2	21	90.5%	0.10
114	C.Brusotti	🇮🇹 ITALY	15	80.0%	0.33
115	V.Kolding	🇩🇰 DENMARK	4	50.0%	0.50

Bidding activity↑ top

Share of a player’s bids that were not a pass — contract bids, doubles and redoubles, over every auction they sat in. High = active, low = quiet. Players with few boards are greyed. Click a column header to sort; filter by name or team.

#	Player	Team	Bids	Not pass	Active %
1	L.Draghi	🇮🇹 ITALY	397	204	51.4%
2	S.Clementsson	🇸🇪 SWEDEN	294	151	51.4%
3	A.Cope	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	270	136	50.4%
4	R.Jeng	🇺🇸 USA2	372	187	50.3%
5	T.Van De Paverd	🇳🇱 NETHERLANDS	391	196	50.1%
6	A.Abragi	🇸🇪 SWEDEN	260	129	49.6%
7	W.Bak	🇵🇱 POLAND	330	163	49.4%
8	J.Bazyluk	🇵🇱 POLAND	327	161	49.2%
9	A.Sandin	🇸🇪 SWEDEN	298	146	49.0%
10	H.Watkins	🇦🇺 AUSTRALIA	262	128	48.9%
11	I.Baniri	🇮🇱 ISRAEL	289	141	48.8%
12	B.Xiao	🇺🇸 USA2	374	182	48.7%
13	R.Goor	🇳🇱 NETHERLANDS	386	187	48.4%
14	Y.Niu	🇨🇳 CHINA	290	140	48.3%
15	R.Madej	🇵🇱 POLAND	242	117	48.3%
16	O.Laufer	🇨🇦 CANADA	299	144	48.2%
17	C.Lahrmann	🇩🇰 DENMARK	458	220	48.0%
18	F.Porta	🇮🇹 ITALY	442	212	48.0%
19	D.Nilchay	🇹🇭 THAILAND	281	135	48.0%
20	T.Guillemin	🇫🇷 FRANCE	284	136	47.9%
21	P.Promjan	🇹🇭 THAILAND	340	162	47.6%
22	K.Noguchi	🇯🇵 JAPAN	317	151	47.6%
23	L.To	🇭🇰 HONG KONG CHINA	296	141	47.6%
24	H.Luba	🇺🇸 USA1	348	164	47.1%
25	S.Sonyindee	🇹🇭 THAILAND	278	131	47.1%
26	I.Papaspyrou	🇬🇷 GREECE	381	179	47.0%
27	M.Lombardi	🇮🇹 ITALY	439	205	46.7%
28	D.Brandgaard	🇩🇰 DENMARK	453	211	46.6%
29	X.Friesen	🇳🇱 NETHERLANDS	394	182	46.2%
30	L.Sanderson	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	357	165	46.2%
31	L.Rombaut	🇫🇷 FRANCE	291	134	46.0%
32	M.Kedzierski	🇵🇱 POLAND	248	114	46.0%
33	M.Zhao	🇨🇦 CANADA	282	129	45.7%
34	I.Lichtenstein	🇸🇪 SWEDEN	267	122	45.7%
35	R.Jahagirdar	🇮🇳 INDIA	223	102	45.7%
36	Y.Wen	🇨🇳 CHINA	285	130	45.6%
37	L.Ceglia	🇧🇷 BRAZIL	277	126	45.5%
38	A.Zeitak	🇮🇱 ISRAEL	268	122	45.5%
39	E.Wood	🇺🇸 USA1	185	84	45.4%
40	A.Carletti	🇮🇹 ITALY	433	196	45.3%
41	M.Sieredzinski	🇦🇺 AUSTRALIA	259	117	45.2%
42	H.Salomao	🇧🇷 BRAZIL	427	192	45.0%
43	M.Soumplis	🇬🇷 GREECE	382	172	45.0%
44	A.Rolf-Larsen	🇩🇰 DENMARK	428	192	44.9%
45	O.Nijssen	🇳🇱 NETHERLANDS	401	180	44.9%
46	F.Kolesnik	🇺🇸 USA1	336	150	44.6%
47	N.Khutorsky	🇮🇱 ISRAEL	267	119	44.6%
48	D.Tylvad	🇩🇰 DENMARK	467	208	44.5%
49	Z.Li	🇨🇳 CHINA	314	139	44.3%
50	C.Mann	🇸🇪 SWEDEN	307	136	44.3%
51	T.Inami	🇯🇵 JAPAN	369	163	44.2%
52	A.Seto	🇭🇰 HONG KONG CHINA	297	131	44.1%
53	Y.Song	🇯🇵 JAPAN	357	157	44.0%
54	B.Jiang	🇨🇳 CHINA	300	132	44.0%
55	C.Havens	🇨🇦 CANADA	248	109	44.0%
56	D.Winter	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	358	157	43.9%
57	J.Chen	🇨🇳 CHINA	285	125	43.9%
58	M.Hu	🇺🇸 USA1	189	83	43.9%
59	B.Zhu	🇺🇸 USA1	345	151	43.8%
60	Z.Wang	🇨🇳 CHINA	313	137	43.8%
61	D.Banerjee	🇮🇳 INDIA	251	110	43.8%
62	S.Ballav	🇮🇳 INDIA	254	111	43.7%
63	O.Selby	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	271	117	43.2%
64	T.Chowdhury	🇮🇳 INDIA	383	165	43.1%
65	R.Guth	🇫🇷 FRANCE	254	109	42.9%
66	D.Kapiris	🇬🇷 GREECE	387	165	42.6%
67	E.Hansson	🇸🇪 SWEDEN	310	132	42.6%
68	O.Sabbah	🇮🇱 ISRAEL	295	125	42.4%
69	P.Phansamdaeng	🇹🇭 THAILAND	276	117	42.4%
70	M.Fragola	🇫🇷 FRANCE	318	134	42.1%
71	T.Rodrigues	🇮🇳 INDIA	388	163	42.0%
72	N.Tabata	🇫🇷 FRANCE	319	134	42.0%
73	M.Kurek Beaulieu	🇫🇷 FRANCE	252	105	41.7%
74	M.Xu	🇺🇸 USA1	339	140	41.3%
75	L.Fegarty	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	255	105	41.2%
76	K.Takizawa	🇯🇵 JAPAN	375	154	41.1%
77	T.Loonstein	🇮🇱 ISRAEL	297	122	41.1%
78	S.Kocharoen	🇹🇭 THAILAND	351	143	40.7%
79	J.Yan	🇭🇰 HONG KONG CHINA	266	108	40.6%
80	P.Skordas	🇬🇷 GREECE	410	166	40.5%
81	E.Ng	🇭🇰 HONG KONG CHINA	264	107	40.5%
82	M.De Almeida Vasconcelos	🇧🇷 BRAZIL	260	105	40.4%
83	G.Morgan	🇦🇺 AUSTRALIA	300	121	40.3%
84	C.Yanez	🇦🇷 ARGENTINA	435	174	40.0%
85	K.Cichy	🇵🇱 POLAND	283	113	39.9%
86	V.Patel	🇮🇳 INDIA	224	89	39.7%
87	J.Freeman	🇺🇸 USA2	361	143	39.6%
88	P.Kongngern	🇹🇭 THAILAND	274	108	39.4%
89	Y.Sliwowicz	🇮🇱 ISRAEL	301	116	38.5%
90	Z.Cheng	🇨🇦 CANADA	296	113	38.2%
91	Z.Ross	🇦🇺 AUSTRALIA	291	110	37.8%
92	S.Anoyrkatis	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	259	98	37.8%
93	G.Bartley	🇦🇺 AUSTRALIA	298	112	37.6%
94	S.Schuschny	🇦🇷 ARGENTINA	406	152	37.4%
95	K.Kopka	🇵🇱 POLAND	281	105	37.4%
96	G.Biondillo Rodrigues	🇧🇷 BRAZIL	246	92	37.4%
97	Y.Poon	🇭🇰 HONG KONG CHINA	312	116	37.2%
98	Y.Yun	🇭🇰 HONG KONG CHINA	307	113	36.8%
99	D.Molina	🇦🇷 ARGENTINA	441	162	36.7%
100	C.He	🇨🇦 CANADA	287	105	36.6%
101	Q.Chen	🇨🇦 CANADA	318	116	36.5%
102	A.Thomas	🇦🇷 ARGENTINA	416	151	36.3%
103	K.Macdonald	🇦🇺 AUSTRALIA	286	103	36.0%
104	H.Martins Fortes	🇧🇷 BRAZIL	261	94	36.0%
105	C.Duffie	🇺🇸 USA2	364	130	35.7%
106	K.Yagishita	🇯🇵 JAPAN	328	112	34.1%
107	M.Frei Malta Castro	🇧🇷 BRAZIL	240	81	33.8%
108	S.Goor	🇳🇱 NETHERLANDS	71	36	50.7%
109	V.Kolding	🇩🇰 DENMARK	22	11	50.0%
110	R.Xiao	🇺🇸 USA2	138	68	49.3%
111	E.Petraki	🇬🇷 GREECE	40	18	45.0%
112	T.Westerveld	🇳🇱 NETHERLANDS	71	31	43.7%
113	O.Schireson	🇺🇸 USA2	140	60	42.9%
114	I.Pollatou	🇬🇷 GREECE	116	42	36.2%
115	C.Brusotti	🇮🇹 ITALY	64	23	35.9%

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	W.Bak	🇵🇱 POLAND	112	+0.12	+1.00	+1.12	·
2	J.Bazyluk	🇵🇱 POLAND	112	+0.12	+1.00	+1.12	·
3	A.Carletti	🇮🇹 ITALY	144	+0.01	+0.86	+0.87	▲4
4	T.Guillemin	🇫🇷 FRANCE	104	+0.02	+0.75	+0.77	▲4
5	L.Rombaut	🇫🇷 FRANCE	104	+0.02	+0.75	+0.77	▲4
6	R.Guth	🇫🇷 FRANCE	88	-0.16	+0.92	+0.76	▼3
7	M.Kurek Beaulieu	🇫🇷 FRANCE	88	-0.16	+0.92	+0.76	▼3
8	O.Nijssen	🇳🇱 NETHERLANDS	144	+0.02	+0.74	+0.76	▲2
9	T.Van De Paverd	🇳🇱 NETHERLANDS	144	+0.02	+0.74	+0.76	▲2
10	F.Porta	🇮🇹 ITALY	152	+0.02	+0.65	+0.67	▲4
11	O.Sabbah	🇮🇱 ISRAEL	104	-0.20	+0.86	+0.66	▼6
12	Y.Sliwowicz	🇮🇱 ISRAEL	104	-0.20	+0.86	+0.66	▼6
13	E.Hansson	🇸🇪 SWEDEN	112	+0.04	+0.56	+0.60	▲8
14	C.Mann	🇸🇪 SWEDEN	112	+0.04	+0.56	+0.60	▲8
15	K.Cichy	🇵🇱 POLAND	104	-0.06	+0.66	+0.60	▼3
16	K.Kopka	🇵🇱 POLAND	104	-0.06	+0.66	+0.60	▼3
17	F.Kolesnik	🇺🇸 USA1	120	+0.01	+0.59	+0.60	·
18	M.Xu	🇺🇸 USA1	120	+0.01	+0.59	+0.60	·
19	M.Soumplis	🇬🇷 GREECE	136	+0.04	+0.53	+0.57	▲6
20	M.Fragola	🇫🇷 FRANCE	112	-0.06	+0.62	+0.56	▼5
21	N.Tabata	🇫🇷 FRANCE	112	-0.06	+0.62	+0.56	▼5
22	C.Lahrmann	🇩🇰 DENMARK	152	-0.05	+0.58	+0.53	▼3
23	D.Tylvad	🇩🇰 DENMARK	152	-0.05	+0.58	+0.53	▼3
24	B.Jiang	🇨🇳 CHINA	104	+0.00	+0.52	+0.52	▲2
25	Y.Niu	🇨🇳 CHINA	104	+0.00	+0.52	+0.52	▲2
26	R.Jeng	🇺🇸 USA2	128	+0.02	+0.48	+0.50	▲2
27	B.Xiao	🇺🇸 USA2	128	+0.02	+0.48	+0.50	▲2
28	N.Khutorsky	🇮🇱 ISRAEL	96	+0.36	+0.14	+0.50	▲7
29	A.Zeitak	🇮🇱 ISRAEL	96	+0.36	+0.14	+0.50	▲7
30	I.Papaspyrou	🇬🇷 GREECE	136	+0.00	+0.47	+0.47	·
31	I.Baniri	🇮🇱 ISRAEL	104	-0.08	+0.54	+0.46	▼8
32	T.Loonstein	🇮🇱 ISRAEL	104	-0.08	+0.54	+0.46	▼8
33	C.Duffie	🇺🇸 USA2	128	-0.17	+0.44	+0.27	▼2
34	J.Freeman	🇺🇸 USA2	128	-0.17	+0.44	+0.27	▼2
35	M.Lombardi	🇮🇹 ITALY	152	-0.06	+0.29	+0.23	▼2
36	A.Rolf-Larsen	🇩🇰 DENMARK	144	+0.16	-0.02	+0.14	▲26
37	Z.Li	🇨🇳 CHINA	104	+0.13	-0.01	+0.13	▲21
38	Z.Wang	🇨🇳 CHINA	104	+0.13	-0.01	+0.13	▲21
39	L.Sanderson	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	120	+0.18	-0.07	+0.11	▲27
40	D.Winter	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	120	+0.18	-0.07	+0.11	▲27
41	J.Chen	🇨🇳 CHINA	96	-0.04	+0.13	+0.09	▼4
42	Y.Wen	🇨🇳 CHINA	96	-0.04	+0.13	+0.09	▼4
43	L.Draghi	🇮🇹 ITALY	136	+0.04	+0.05	+0.09	▲5
44	Y.Song	🇯🇵 JAPAN	128	-0.14	+0.23	+0.08	▼10
45	P.Kongngern	🇹🇭 THAILAND	96	+0.07	-0.00	+0.06	▲9
46	P.Phansamdaeng	🇹🇭 THAILAND	96	+0.07	-0.00	+0.06	▲9
47	H.Luba	🇺🇸 USA1	120	+0.01	+0.03	+0.04	▲3
48	B.Zhu	🇺🇸 USA1	120	+0.01	+0.03	+0.04	▲3
49	S.Clementsson	🇸🇪 SWEDEN	104	-0.02	+0.06	+0.04	▼7
50	A.Sandin	🇸🇪 SWEDEN	104	-0.02	+0.06	+0.04	▼7
51	T.Inami	🇯🇵 JAPAN	128	+0.09	-0.06	+0.03	▲14
52	C.He	🇨🇦 CANADA	104	-0.02	+0.04	+0.02	▼3
53	E.Ng	🇭🇰 HONG KONG CHINA	96	+0.00	+0.02	+0.02	▼1
54	J.Yan	🇭🇰 HONG KONG CHINA	96	+0.00	+0.02	+0.02	▼1
55	K.Takizawa	🇯🇵 JAPAN	128	-0.11	+0.12	+0.01	▼16
56	M.Kedzierski	🇵🇱 POLAND	88	-0.07	+0.07	+0.01	▼16
57	R.Madej	🇵🇱 POLAND	88	-0.07	+0.07	+0.01	▼16
58	A.Seto	🇭🇰 HONG KONG CHINA	104	+0.01	-0.00	+0.00	▼2
59	L.To	🇭🇰 HONG KONG CHINA	104	+0.01	-0.00	+0.00	▼2
60	S.Ballav	🇮🇳 INDIA	96	-0.06	+0.05	-0.01	▼14
61	D.Banerjee	🇮🇳 INDIA	96	-0.06	+0.05	-0.01	▼14
62	A.Abragi	🇸🇪 SWEDEN	88	-0.10	+0.05	-0.05	▼18
63	I.Lichtenstein	🇸🇪 SWEDEN	88	-0.10	+0.05	-0.05	▼18
64	D.Brandgaard	🇩🇰 DENMARK	152	+0.12	-0.20	-0.08	▲6
65	D.Kapiris	🇬🇷 GREECE	136	+0.07	-0.16	-0.09	▲3
66	D.Molina	🇦🇷 ARGENTINA	152	-0.09	-0.01	-0.10	▼6
67	C.Yanez	🇦🇷 ARGENTINA	152	-0.09	-0.01	-0.10	▼6
68	G.Bartley	🇦🇺 AUSTRALIA	104	-0.05	-0.05	-0.10	▼5
69	G.Morgan	🇦🇺 AUSTRALIA	104	-0.05	-0.05	-0.10	▼5
70	P.Skordas	🇬🇷 GREECE	144	+0.05	-0.24	-0.19	▲2
71	K.Yagishita	🇯🇵 JAPAN	112	+0.10	-0.34	-0.24	▲9
72	A.Cope	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	96	+0.28	-0.53	-0.24	▲18
73	O.Selby	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	96	+0.28	-0.53	-0.24	▲18
74	M.Hu	🇺🇸 USA1	64	+0.16	-0.42	-0.26	▲10
75	E.Wood	🇺🇸 USA1	64	+0.16	-0.42	-0.26	▲10
76	Q.Chen	🇨🇦 CANADA	112	+0.04	-0.30	-0.26	▲1
77	T.Chowdhury	🇮🇳 INDIA	136	+0.18	-0.46	-0.28	▲9
78	T.Rodrigues	🇮🇳 INDIA	136	+0.18	-0.46	-0.28	▲9
79	Z.Cheng	🇨🇦 CANADA	104	-0.08	-0.22	-0.30	▼8
80	M.Sieredzinski	🇦🇺 AUSTRALIA	96	-0.06	-0.25	-0.31	▼7
81	H.Watkins	🇦🇺 AUSTRALIA	96	-0.06	-0.25	-0.31	▼7
82	S.Kocharoen	🇹🇭 THAILAND	120	+0.02	-0.33	-0.32	▼4
83	P.Promjan	🇹🇭 THAILAND	120	+0.02	-0.33	-0.32	▼4
84	X.Friesen	🇳🇱 NETHERLANDS	136	+0.15	-0.47	-0.32	▲4
85	R.Goor	🇳🇱 NETHERLANDS	136	+0.15	-0.47	-0.32	▲4
86	K.Noguchi	🇯🇵 JAPAN	112	-0.18	-0.19	-0.37	▼17
87	C.Havens	🇨🇦 CANADA	88	-0.03	-0.35	-0.37	▼6
88	Y.Poon	🇭🇰 HONG KONG CHINA	104	-0.15	-0.26	-0.41	▼13
89	Y.Yun	🇭🇰 HONG KONG CHINA	104	-0.15	-0.26	-0.41	▼13
90	O.Laufer	🇨🇦 CANADA	104	+0.06	-0.57	-0.50	▲2
91	M.Zhao	🇨🇦 CANADA	96	+0.02	-0.63	-0.61	▲5
92	K.Macdonald	🇦🇺 AUSTRALIA	104	-0.02	-0.61	-0.63	▲2
93	Z.Ross	🇦🇺 AUSTRALIA	104	-0.02	-0.61	-0.63	▲2
94	S.Anoyrkatis	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	88	-0.25	-0.39	-0.64	▼12
95	L.Fegarty	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	88	-0.25	-0.39	-0.64	▼12
96	L.Ceglia	🇧🇷 BRAZIL	96	+0.11	-0.76	-0.65	▲3
97	H.Salomao	🇧🇷 BRAZIL	152	-0.11	-0.57	-0.68	▼4
98	H.Martins Fortes	🇧🇷 BRAZIL	96	-0.01	-0.86	-0.87	▲2
99	D.Nilchay	🇹🇭 THAILAND	88	-0.19	-0.73	-0.93	▼2
100	S.Sonyindee	🇹🇭 THAILAND	88	-0.19	-0.73	-0.93	▼2
101	S.Schuschny	🇦🇷 ARGENTINA	152	+0.05	-1.10	-1.05	▲1
102	A.Thomas	🇦🇷 ARGENTINA	152	+0.05	-1.10	-1.05	▲1
103	G.Biondillo Rodrigues	🇧🇷 BRAZIL	88	-0.11	-0.97	-1.08	▼2
104	M.De Almeida Vasconcelos	🇧🇷 BRAZIL	88	+0.28	-1.56	-1.27	·
105	R.Jahagirdar	🇮🇳 INDIA	72	-0.04	-1.65	-1.70	·
106	V.Patel	🇮🇳 INDIA	72	-0.04	-1.65	-1.70	·
107	M.Frei Malta Castro	🇧🇷 BRAZIL	88	+0.28	-2.12	-1.83	·

Stages

Statistics

Tables