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	A.Pedmanson	🇪🇪 ESTONIA	152	+1.55	+235.0
2	J.Vahk	🇪🇪 ESTONIA	152	+1.55	+235.0
3	B.Ge	🇺🇸 USA2	96	+1.14	+109.0
4	A.Gong	🇺🇸 USA2	96	+1.14	+109.0
5	N.Hammelev	🇩🇰 DENMARK	152	+0.94	+143.0
6	A.Tylvad	🇩🇰 DENMARK	152	+0.94	+143.0
7	I.Moskovitz	🇮🇱 ISRAEL	112	+0.90	+101.0
8	A.Petelko	🇮🇱 ISRAEL	112	+0.90	+101.0
9	C.Saisith	🇹🇭 THAILAND	128	+0.89	+114.0
10	H.Tsai	🇹🇼 CHINESE TAIPEI	88	+0.85	+75.0
11	S.Saengtuen	🇹🇭 THAILAND	136	+0.82	+111.0
12	C.Chen	🇹🇼 CHINESE TAIPEI	88	+0.80	+70.0
13	D.Biborka	🇭🇺 HUNGARY	136	+0.79	+108.0
14	A.Brogeland	🇳🇴 NORWAY	112	+0.71	+80.0
15	N.Heiberg-Evenstad	🇳🇴 NORWAY	112	+0.71	+80.0
16	A.Bukat	🇵🇱 POLAND	96	+0.70	+67.0
17	F.Kurlit	🇵🇱 POLAND	96	+0.70	+67.0
18	T.Zheng	🇨🇳 CHINA	96	+0.69	+66.0
19	J.Ma	🇨🇳 CHINA	104	+0.67	+70.0
20	M.Haas	🇺🇸 USA1	104	+0.64	+67.0
21	S.Pahk	🇺🇸 USA1	104	+0.64	+67.0
22	J.Chiang	🇭🇰 HONG KONG CHINA	136	+0.62	+84.0
23	A.Shek	🇭🇰 HONG KONG CHINA	136	+0.62	+84.0
24	Y.Shor	🇮🇱 ISRAEL	64	+0.53	+34.0
25	S.Zaidenberg Gatt	🇮🇱 ISRAEL	64	+0.53	+34.0
26	C.Bens	🇫🇷 FRANCE	112	+0.52	+58.0
27	M.Roches	🇫🇷 FRANCE	112	+0.52	+58.0
28	D.Tokes	🇭🇺 HUNGARY	144	+0.49	+71.0
29	C.Ben Guigui	🇫🇷 FRANCE	120	+0.47	+57.0
30	E.Bonin	🇫🇷 FRANCE	120	+0.47	+57.0
31	C.Bedford	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	96	+0.47	+45.0
32	L.Norman	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	96	+0.47	+45.0
33	J.Bjoerkan	🇳🇴 NORWAY	80	+0.42	+34.0
34	J.Nordby	🇳🇴 NORWAY	80	+0.42	+34.0
35	J.Fegarty	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	120	+0.38	+46.0
36	T.Gardner	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	120	+0.38	+46.0
37	M.De Haan	🇳🇱 NETHERLANDS	96	+0.34	+33.0
38	R.Van Zandbeek	🇳🇱 NETHERLANDS	96	+0.34	+33.0
39	M.Brocken	🇳🇱 NETHERLANDS	112	+0.34	+38.0
40	R.Brocken	🇳🇱 NETHERLANDS	112	+0.34	+38.0
41	K.Allas	🇪🇪 ESTONIA	128	+0.30	+38.0
42	J.Gusson	🇪🇪 ESTONIA	128	+0.30	+38.0
43	M.Bjoerk Heed	🇸🇪 SWEDEN	144	+0.29	+42.0
44	L.Petelko	🇮🇱 ISRAEL	128	+0.29	+37.0
45	K.Retter	🇮🇱 ISRAEL	128	+0.29	+37.0
46	K.Ge	🇺🇸 USA2	104	+0.29	+30.0
47	B.Zhang	🇺🇸 USA2	104	+0.29	+30.0
48	M.Bertheau	🇸🇪 SWEDEN	152	+0.28	+43.0
49	A.Nilsson	🇸🇪 SWEDEN	152	+0.25	+38.0
50	F.Asplund Sivelind	🇸🇪 SWEDEN	152	+0.25	+38.0
51	E.Derman	🇺🇸 USA1	104	+0.23	+24.0
52	B.Zabradi	🇭🇺 HUNGARY	152	+0.21	+32.0
53	T.Crosnier	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	88	+0.20	+18.0
54	D.Sargent	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	88	+0.20	+18.0
55	Z.Zabradi	🇭🇺 HUNGARY	64	+0.19	+12.0
56	J.Boge	🇺🇸 USA1	96	+0.17	+16.0
57	K.Chheda	🇮🇳 INDIA	104	+0.06	+6.0
58	V.Nandu	🇮🇳 INDIA	104	+0.06	+6.0
59	K.Kuflowski	🇵🇱 POLAND	128	+0.04	+5.0
60	W.Okrzesik	🇵🇱 POLAND	128	+0.04	+5.0
61	Y.Xiao	🇯🇵 JAPAN	104	+0.04	+4.0
62	Y.Mashino	🇯🇵 JAPAN	120	-0.03	-3.0
63	P.Hammelev	🇩🇰 DENMARK	152	-0.03	-4.0
64	M.Larsen	🇩🇰 DENMARK	152	-0.03	-4.0
65	A.Silverstein	🇺🇸 USA1	104	-0.03	-3.0
66	D.Balof	🇺🇸 USA1	96	-0.11	-11.0
67	H.Asano	🇯🇵 JAPAN	128	-0.16	-20.0
68	S.Chan	🇭🇰 HONG KONG CHINA	136	-0.18	-25.0
69	C.Hui	🇭🇰 HONG KONG CHINA	136	-0.18	-25.0
70	H.Tsuchiya	🇯🇵 JAPAN	128	-0.22	-28.0
71	X.Yan	🇨🇳 CHINA	120	-0.25	-30.0
72	X.Zhang	🇨🇳 CHINA	120	-0.25	-30.0
73	J.Kot	🇵🇱 POLAND	80	-0.26	-21.0
74	W.Wnuk	🇵🇱 POLAND	80	-0.26	-21.0
75	T.Chen	🇹🇼 CHINESE TAIPEI	104	-0.29	-30.0
76	J.Wilkinson	🇦🇺 AUSTRALIA	104	-0.37	-38.0
77	A.Wilsmore	🇦🇺 AUSTRALIA	104	-0.37	-38.0
78	K.Austad	🇳🇴 NORWAY	112	-0.40	-45.0
79	E.Osen	🇳🇴 NORWAY	112	-0.40	-45.0
80	X.Lin	🇹🇼 CHINESE TAIPEI	128	-0.48	-62.0
81	N.Matsuda	🇯🇵 JAPAN	128	-0.55	-71.0
82	C.Chen	🇺🇸 USA2	104	-0.61	-63.0
83	E.Xiao	🇺🇸 USA2	104	-0.61	-63.0
84	L.Hakvoort	🇳🇱 NETHERLANDS	96	-0.66	-63.0
85	P.Ter Maat	🇳🇱 NETHERLANDS	96	-0.66	-63.0
86	J.Shen	🇹🇼 CHINESE TAIPEI	96	-0.78	-75.0
87	Y.Liu	🇨🇳 CHINA	88	-0.78	-69.0
88	G.Gupta	🇮🇳 INDIA	88	-0.81	-71.0
89	A.Mehta	🇮🇳 INDIA	88	-0.81	-71.0
90	M.Chanal	🇫🇷 FRANCE	72	-0.82	-59.0
91	C.Fragola Jarjaille	🇫🇷 FRANCE	72	-0.82	-59.0
92	P.Jindakul	🇹🇭 THAILAND	128	-0.84	-108.0
93	R.Kongsattra	🇹🇭 THAILAND	136	-0.88	-120.0
94	J.Yan	🇨🇳 CHINA	80	-0.91	-73.0
95	I.Chen	🇹🇼 CHINESE TAIPEI	104	-0.94	-98.0
96	B.Ochoa	🇺🇾 URUGUAY	152	-1.05	-160.0
97	D.Salaverri Bottaro	🇺🇾 URUGUAY	152	-1.05	-160.0
98	A.Hariharan	🇦🇺 AUSTRALIA	104	-1.19	-124.0
99	A.Le	🇦🇺 AUSTRALIA	104	-1.19	-124.0
100	T.Chowdhury	🇮🇳 INDIA	112	-1.70	-190.0
101	M.Prakash	🇮🇳 INDIA	112	-1.70	-190.0
102	B.Alberti Carcabelos	🇺🇾 URUGUAY	152	-2.01	-305.0
103	T.Pejacsevich	🇺🇾 URUGUAY	152	-2.01	-305.0
104	T.Gold	🇦🇺 AUSTRALIA	96	-2.39	-229.0
105	T.Langdon Macmillan	🇦🇺 AUSTRALIA	96	-2.39	-229.0
106	G.Szabo	🇭🇺 HUNGARY	56	+1.46	+82.0
107	S.Chan	🇭🇰 HONG KONG CHINA	32	+0.44	+14.0
108	C.Leung	🇭🇰 HONG KONG CHINA	32	+0.44	+14.0
109	S.Allas	🇪🇪 ESTONIA	24	+0.21	+5.0
110	E.Orma	🇪🇪 ESTONIA	24	+0.21	+5.0
111	H.Larhnimi	🇸🇪 SWEDEN	8	+0.12	+1.0
112	M.Juhasz-Molnar	🇭🇺 HUNGARY	56	-0.70	-39.0
113	K.Konsen	🇹🇭 THAILAND	40	-1.40	-56.0
114	Y.Kamporn	🇹🇭 THAILAND	40	-1.62	-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	Y.Mashino	🇯🇵 JAPAN	18	100.0%	0.00
2	T.Chen	🇹🇼 CHINESE TAIPEI	26	96.2%	0.04
3	K.Kuflowski	🇵🇱 POLAND	23	95.7%	0.04
4	R.Van Zandbeek	🇳🇱 NETHERLANDS	22	95.5%	0.04
5	B.Ochoa	🇺🇾 URUGUAY	30	93.3%	0.07
6	A.Pedmanson	🇪🇪 ESTONIA	31	90.3%	0.13
7	C.Hui	🇭🇰 HONG KONG CHINA	30	90.0%	0.10
8	N.Hammelev	🇩🇰 DENMARK	39	89.7%	0.10
9	A.Bukat	🇵🇱 POLAND	29	89.7%	0.17
10	J.Vahk	🇪🇪 ESTONIA	37	89.2%	0.14
11	P.Jindakul	🇹🇭 THAILAND	37	89.2%	0.16
12	H.Tsai	🇹🇼 CHINESE TAIPEI	26	88.5%	0.12
13	M.Brocken	🇳🇱 NETHERLANDS	26	88.5%	0.12
14	A.Brogeland	🇳🇴 NORWAY	26	88.5%	0.12
15	L.Norman	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	26	88.5%	0.12
16	T.Gold	🇦🇺 AUSTRALIA	17	88.2%	0.12
17	R.Brocken	🇳🇱 NETHERLANDS	25	88.0%	0.12
18	C.Chen	🇹🇼 CHINESE TAIPEI	25	88.0%	0.12
19	K.Chheda	🇮🇳 INDIA	25	88.0%	0.12
20	Z.Zabradi	🇭🇺 HUNGARY	16	87.5%	0.12
21	J.Nordby	🇳🇴 NORWAY	16	87.5%	0.12
22	B.Ge	🇺🇸 USA2	24	87.5%	0.17
23	M.Bjoerk Heed	🇸🇪 SWEDEN	31	87.1%	0.19
24	J.Fegarty	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	30	86.7%	0.17
25	X.Yan	🇨🇳 CHINA	30	86.7%	0.17
26	J.Chiang	🇭🇰 HONG KONG CHINA	22	86.4%	0.14
27	J.Boge	🇺🇸 USA1	29	86.2%	0.14
28	D.Sargent	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	29	86.2%	0.17
29	X.Lin	🇹🇼 CHINESE TAIPEI	29	86.2%	0.17
30	M.Prakash	🇮🇳 INDIA	21	85.7%	0.14
31	E.Xiao	🇺🇸 USA2	27	85.2%	0.15
32	T.Langdon Macmillan	🇦🇺 AUSTRALIA	27	85.2%	0.18
33	B.Zhang	🇺🇸 USA2	20	85.0%	0.15
34	M.Larsen	🇩🇰 DENMARK	33	84.8%	0.15
35	C.Chen	🇺🇸 USA2	33	84.8%	0.15
36	Y.Shor	🇮🇱 ISRAEL	13	84.6%	0.15
37	P.Hammelev	🇩🇰 DENMARK	39	84.6%	0.18
38	A.Petelko	🇮🇱 ISRAEL	32	84.4%	0.16
39	C.Fragola Jarjaille	🇫🇷 FRANCE	19	84.2%	0.16
40	D.Tokes	🇭🇺 HUNGARY	25	84.0%	0.16
41	C.Ben Guigui	🇫🇷 FRANCE	37	83.8%	0.22
42	H.Asano	🇯🇵 JAPAN	30	83.3%	0.17
43	Y.Liu	🇨🇳 CHINA	30	83.3%	0.17
44	N.Matsuda	🇯🇵 JAPAN	42	83.3%	0.19
45	A.Silverstein	🇺🇸 USA1	24	83.3%	0.29
46	A.Nilsson	🇸🇪 SWEDEN	41	82.9%	0.24
47	J.Wilkinson	🇦🇺 AUSTRALIA	29	82.8%	0.21
48	B.Zabradi	🇭🇺 HUNGARY	29	82.8%	0.24
49	J.Ma	🇨🇳 CHINA	23	82.6%	0.17
50	A.Wilsmore	🇦🇺 AUSTRALIA	23	82.6%	0.30
51	W.Okrzesik	🇵🇱 POLAND	34	82.4%	0.18
52	T.Crosnier	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	17	82.4%	0.18
53	C.Bens	🇫🇷 FRANCE	34	82.4%	0.27
54	M.Roches	🇫🇷 FRANCE	22	81.8%	0.18
55	M.Haas	🇺🇸 USA1	27	81.5%	0.18
56	A.Hariharan	🇦🇺 AUSTRALIA	32	81.2%	0.19
57	D.Biborka	🇭🇺 HUNGARY	37	81.1%	0.19
58	J.Kot	🇵🇱 POLAND	21	81.0%	0.19
59	A.Gong	🇺🇸 USA2	26	80.8%	0.19
60	G.Gupta	🇮🇳 INDIA	26	80.8%	0.39
61	A.Tylvad	🇩🇰 DENMARK	41	80.5%	0.20
62	S.Zaidenberg Gatt	🇮🇱 ISRAEL	15	80.0%	0.20
63	S.Pahk	🇺🇸 USA1	30	80.0%	0.23
64	E.Osen	🇳🇴 NORWAY	30	80.0%	0.23
65	R.Kongsattra	🇹🇭 THAILAND	39	79.5%	0.26
66	K.Austad	🇳🇴 NORWAY	24	79.2%	0.21
67	C.Saisith	🇹🇭 THAILAND	43	79.1%	0.21
68	M.Bertheau	🇸🇪 SWEDEN	38	78.9%	0.29
69	K.Retter	🇮🇱 ISRAEL	28	78.6%	0.21
70	L.Hakvoort	🇳🇱 NETHERLANDS	28	78.6%	0.36
71	J.Yan	🇨🇳 CHINA	18	77.8%	0.22
72	J.Shen	🇹🇼 CHINESE TAIPEI	27	77.8%	0.22
73	F.Asplund Sivelind	🇸🇪 SWEDEN	45	77.8%	0.24
74	D.Balof	🇺🇸 USA1	22	77.3%	0.27
75	S.Saengtuen	🇹🇭 THAILAND	26	76.9%	0.23
76	D.Salaverri Bottaro	🇺🇾 URUGUAY	39	76.9%	0.36
77	L.Petelko	🇮🇱 ISRAEL	38	76.3%	0.47
78	N.Heiberg-Evenstad	🇳🇴 NORWAY	21	76.2%	0.38
79	E.Bonin	🇫🇷 FRANCE	25	76.0%	0.24
80	E.Derman	🇺🇸 USA1	29	75.9%	0.24
81	K.Allas	🇪🇪 ESTONIA	29	75.9%	0.24
82	H.Tsuchiya	🇯🇵 JAPAN	41	75.6%	0.24
83	T.Pejacsevich	🇺🇾 URUGUAY	49	75.5%	0.27
84	J.Gusson	🇪🇪 ESTONIA	28	75.0%	0.25
85	J.Bjoerkan	🇳🇴 NORWAY	16	75.0%	0.25
86	I.Chen	🇹🇼 CHINESE TAIPEI	24	75.0%	0.25
87	C.Bedford	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	24	75.0%	0.29
88	V.Nandu	🇮🇳 INDIA	20	75.0%	0.30
89	A.Shek	🇭🇰 HONG KONG CHINA	39	74.4%	0.31
90	T.Gardner	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	27	74.1%	0.26
91	A.Le	🇦🇺 AUSTRALIA	27	74.1%	0.33
92	X.Zhang	🇨🇳 CHINA	26	73.1%	0.27
93	B.Alberti Carcabelos	🇺🇾 URUGUAY	43	72.1%	0.28
94	T.Zheng	🇨🇳 CHINA	25	72.0%	0.40
95	A.Mehta	🇮🇳 INDIA	14	71.4%	0.29
96	T.Chowdhury	🇮🇳 INDIA	28	71.4%	0.32
97	S.Chan	🇭🇰 HONG KONG CHINA	38	71.1%	0.29
98	M.Chanal	🇫🇷 FRANCE	24	70.8%	0.42
99	Y.Xiao	🇯🇵 JAPAN	20	70.0%	0.35
100	P.Ter Maat	🇳🇱 NETHERLANDS	26	69.2%	0.31
101	W.Wnuk	🇵🇱 POLAND	23	65.2%	0.43
102	K.Ge	🇺🇸 USA2	31	64.5%	0.42
103	F.Kurlit	🇵🇱 POLAND	19	63.2%	0.42
104	I.Moskovitz	🇮🇱 ISRAEL	32	62.5%	0.38
105	M.De Haan	🇳🇱 NETHERLANDS	24	58.3%	0.50
106	S.Allas	🇪🇪 ESTONIA	9	100.0%	0.00
107	E.Orma	🇪🇪 ESTONIA	4	100.0%	0.00
108	H.Larhnimi	🇸🇪 SWEDEN	2	100.0%	0.00
109	M.Juhasz-Molnar	🇭🇺 HUNGARY	10	90.0%	0.10
110	C.Leung	🇭🇰 HONG KONG CHINA	7	85.7%	0.14
111	G.Szabo	🇭🇺 HUNGARY	23	78.3%	0.22
112	K.Konsen	🇹🇭 THAILAND	12	75.0%	0.25
113	S.Chan	🇭🇰 HONG KONG CHINA	11	72.7%	0.55
114	Y.Kamporn	🇹🇭 THAILAND	10	60.0%	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	C.Chen	🇹🇼 CHINESE TAIPEI	13	92.3%	0.15
2	J.Ma	🇨🇳 CHINA	23	91.3%	0.09
3	S.Saengtuen	🇹🇭 THAILAND	32	90.6%	0.09
4	I.Moskovitz	🇮🇱 ISRAEL	26	88.5%	0.12
5	Y.Shor	🇮🇱 ISRAEL	16	87.5%	0.12
6	T.Gardner	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	27	85.2%	0.18
7	C.Ben Guigui	🇫🇷 FRANCE	33	84.8%	0.18
8	C.Hui	🇭🇰 HONG KONG CHINA	33	84.8%	0.18
9	Z.Zabradi	🇭🇺 HUNGARY	13	84.6%	0.15
10	N.Heiberg-Evenstad	🇳🇴 NORWAY	31	83.9%	0.23
11	P.Hammelev	🇩🇰 DENMARK	37	83.8%	0.16
12	X.Lin	🇹🇼 CHINESE TAIPEI	37	83.8%	0.19
13	J.Kot	🇵🇱 POLAND	18	83.3%	0.22
14	A.Bukat	🇵🇱 POLAND	28	82.1%	0.32
15	M.Bjoerk Heed	🇸🇪 SWEDEN	38	81.6%	0.26
16	R.Van Zandbeek	🇳🇱 NETHERLANDS	26	80.8%	0.19
17	L.Petelko	🇮🇱 ISRAEL	26	80.8%	0.23
18	J.Fegarty	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	36	80.6%	0.22
19	B.Zabradi	🇭🇺 HUNGARY	51	80.4%	0.26
20	J.Vahk	🇪🇪 ESTONIA	35	80.0%	0.20
21	M.Bertheau	🇸🇪 SWEDEN	35	80.0%	0.20
22	D.Biborka	🇭🇺 HUNGARY	35	80.0%	0.23
23	M.Haas	🇺🇸 USA1	30	80.0%	0.23
24	C.Bedford	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	20	80.0%	0.25
25	H.Asano	🇯🇵 JAPAN	29	79.3%	0.21
26	K.Austad	🇳🇴 NORWAY	29	79.3%	0.24
27	B.Zhang	🇺🇸 USA2	37	78.4%	0.24
28	B.Ge	🇺🇸 USA2	18	77.8%	0.22
29	N.Hammelev	🇩🇰 DENMARK	27	77.8%	0.22
30	C.Bens	🇫🇷 FRANCE	27	77.8%	0.22
31	W.Wnuk	🇵🇱 POLAND	18	77.8%	0.28
32	D.Salaverri Bottaro	🇺🇾 URUGUAY	36	77.8%	0.31
33	J.Bjoerkan	🇳🇴 NORWAY	27	77.8%	0.33
34	H.Tsuchiya	🇯🇵 JAPAN	35	77.1%	0.29
35	S.Chan	🇭🇰 HONG KONG CHINA	35	77.1%	0.31
36	W.Okrzesik	🇵🇱 POLAND	39	76.9%	0.28
37	S.Pahk	🇺🇸 USA1	17	76.5%	0.35
38	A.Nilsson	🇸🇪 SWEDEN	38	76.3%	0.24
39	X.Yan	🇨🇳 CHINA	21	76.2%	0.24
40	C.Chen	🇺🇸 USA2	21	76.2%	0.43
41	H.Tsai	🇹🇼 CHINESE TAIPEI	25	76.0%	0.28
42	E.Bonin	🇫🇷 FRANCE	25	76.0%	0.28
43	J.Wilkinson	🇦🇺 AUSTRALIA	25	76.0%	0.28
44	F.Asplund Sivelind	🇸🇪 SWEDEN	33	75.8%	0.30
45	J.Gusson	🇪🇪 ESTONIA	37	75.7%	0.35
46	K.Kuflowski	🇵🇱 POLAND	32	75.0%	0.25
47	F.Kurlit	🇵🇱 POLAND	20	75.0%	0.25
48	D.Tokes	🇭🇺 HUNGARY	44	75.0%	0.27
49	V.Nandu	🇮🇳 INDIA	32	75.0%	0.28
50	A.Gong	🇺🇸 USA2	28	75.0%	0.29
51	E.Derman	🇺🇸 USA1	24	75.0%	0.38
52	M.Larsen	🇩🇰 DENMARK	43	74.4%	0.35
53	J.Boge	🇺🇸 USA1	19	73.7%	0.26
54	T.Crosnier	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	19	73.7%	0.32
55	Y.Liu	🇨🇳 CHINA	19	73.7%	0.37
56	L.Hakvoort	🇳🇱 NETHERLANDS	19	73.7%	0.42
57	A.Pedmanson	🇪🇪 ESTONIA	49	73.5%	0.31
58	K.Allas	🇪🇪 ESTONIA	33	72.7%	0.33
59	A.Petelko	🇮🇱 ISRAEL	22	72.7%	0.36
60	A.Shek	🇭🇰 HONG KONG CHINA	40	72.5%	0.33
61	C.Saisith	🇹🇭 THAILAND	29	72.4%	0.28
62	M.Roches	🇫🇷 FRANCE	29	72.4%	0.31
63	M.Brocken	🇳🇱 NETHERLANDS	29	72.4%	0.41
64	R.Brocken	🇳🇱 NETHERLANDS	32	71.9%	0.28
65	J.Nordby	🇳🇴 NORWAY	21	71.4%	0.43
66	A.Tylvad	🇩🇰 DENMARK	45	71.1%	0.31
67	T.Zheng	🇨🇳 CHINA	27	70.4%	0.41
68	P.Jindakul	🇹🇭 THAILAND	27	70.4%	0.44
69	X.Zhang	🇨🇳 CHINA	43	69.8%	0.33
70	D.Sargent	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	23	69.6%	0.39
71	E.Xiao	🇺🇸 USA2	23	69.6%	0.39
72	L.Norman	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	26	69.2%	0.35
73	Y.Xiao	🇯🇵 JAPAN	26	69.2%	0.39
74	R.Kongsattra	🇹🇭 THAILAND	29	69.0%	0.34
75	E.Osen	🇳🇴 NORWAY	29	69.0%	0.38
76	T.Chen	🇹🇼 CHINESE TAIPEI	22	68.2%	0.41
77	D.Balof	🇺🇸 USA1	28	67.9%	0.39
78	A.Brogeland	🇳🇴 NORWAY	34	67.6%	0.35
79	K.Retter	🇮🇱 ISRAEL	36	66.7%	0.42
80	K.Chheda	🇮🇳 INDIA	27	66.7%	0.44
81	J.Shen	🇹🇼 CHINESE TAIPEI	18	66.7%	0.50
82	G.Gupta	🇮🇳 INDIA	21	66.7%	0.52
83	M.De Haan	🇳🇱 NETHERLANDS	23	65.2%	0.39
84	P.Ter Maat	🇳🇱 NETHERLANDS	23	65.2%	0.43
85	B.Ochoa	🇺🇾 URUGUAY	46	65.2%	0.46
86	S.Zaidenberg Gatt	🇮🇱 ISRAEL	20	65.0%	0.40
87	C.Fragola Jarjaille	🇫🇷 FRANCE	17	64.7%	0.35
88	A.Silverstein	🇺🇸 USA1	25	64.0%	0.40
89	A.Le	🇦🇺 AUSTRALIA	22	63.6%	0.46
90	J.Chiang	🇭🇰 HONG KONG CHINA	35	62.9%	0.46
91	N.Matsuda	🇯🇵 JAPAN	29	62.1%	0.41
92	A.Hariharan	🇦🇺 AUSTRALIA	23	60.9%	0.48
93	T.Pejacsevich	🇺🇾 URUGUAY	30	60.0%	0.47
94	A.Mehta	🇮🇳 INDIA	27	59.3%	0.44
95	T.Gold	🇦🇺 AUSTRALIA	34	58.8%	0.71
96	M.Prakash	🇮🇳 INDIA	29	58.6%	0.45
97	K.Ge	🇺🇸 USA2	16	56.2%	0.44
98	T.Chowdhury	🇮🇳 INDIA	34	55.9%	0.53
99	T.Langdon Macmillan	🇦🇺 AUSTRALIA	18	55.6%	0.78
100	J.Yan	🇨🇳 CHINA	19	52.6%	0.63
101	A.Wilsmore	🇦🇺 AUSTRALIA	27	51.9%	0.59
102	Y.Mashino	🇯🇵 JAPAN	34	50.0%	0.65
103	I.Chen	🇹🇼 CHINESE TAIPEI	31	48.4%	0.58
104	M.Chanal	🇫🇷 FRANCE	12	41.7%	0.83
105	B.Alberti Carcabelos	🇺🇾 URUGUAY	30	36.7%	0.80
106	M.Juhasz-Molnar	🇭🇺 HUNGARY	10	100.0%	0.00
107	Y.Kamporn	🇹🇭 THAILAND	9	88.9%	0.11
108	S.Allas	🇪🇪 ESTONIA	5	80.0%	0.20
109	G.Szabo	🇭🇺 HUNGARY	11	72.7%	0.82
110	S.Chan	🇭🇰 HONG KONG CHINA	7	71.4%	0.29
111	E.Orma	🇪🇪 ESTONIA	6	66.7%	0.50
112	C.Leung	🇭🇰 HONG KONG CHINA	7	57.1%	0.57
113	K.Konsen	🇹🇭 THAILAND	11	45.5%	0.64
114	H.Larhnimi	🇸🇪 SWEDEN	3	33.3%	0.67

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	J.Chiang	🇭🇰 HONG KONG CHINA	61	91.8%	0.13
2	A.Shek	🇭🇰 HONG KONG CHINA	61	91.8%	0.13
3	A.Brogeland	🇳🇴 NORWAY	47	91.5%	0.15
4	N.Heiberg-Evenstad	🇳🇴 NORWAY	47	91.5%	0.15
5	J.Kot	🇵🇱 POLAND	44	90.9%	0.11
6	W.Wnuk	🇵🇱 POLAND	44	90.9%	0.11
7	J.Ma	🇨🇳 CHINA	52	90.4%	0.14
8	J.Fegarty	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	57	89.5%	0.10
9	T.Gardner	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	57	89.5%	0.10
10	T.Zheng	🇨🇳 CHINA	47	89.4%	0.15
11	Y.Shor	🇮🇱 ISRAEL	28	89.3%	0.18
12	S.Zaidenberg Gatt	🇮🇱 ISRAEL	28	89.3%	0.18
13	C.Ben Guigui	🇫🇷 FRANCE	62	88.7%	0.18
14	E.Bonin	🇫🇷 FRANCE	62	88.7%	0.18
15	C.Chen	🇺🇸 USA2	60	88.3%	0.12
16	E.Xiao	🇺🇸 USA2	60	88.3%	0.12
17	S.Chan	🇭🇰 HONG KONG CHINA	68	88.2%	0.13
18	C.Hui	🇭🇰 HONG KONG CHINA	68	88.2%	0.13
19	A.Pedmanson	🇪🇪 ESTONIA	68	88.2%	0.16
20	J.Vahk	🇪🇪 ESTONIA	68	88.2%	0.16
21	C.Bedford	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	50	88.0%	0.14
22	L.Norman	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	50	88.0%	0.14
23	K.Kuflowski	🇵🇱 POLAND	57	87.7%	0.12
24	W.Okrzesik	🇵🇱 POLAND	57	87.7%	0.12
25	M.Haas	🇺🇸 USA1	57	87.7%	0.16
26	S.Pahk	🇺🇸 USA1	57	87.7%	0.16
27	X.Yan	🇨🇳 CHINA	56	87.5%	0.14
28	X.Zhang	🇨🇳 CHINA	56	87.5%	0.14
29	J.Shen	🇹🇼 CHINESE TAIPEI	48	87.5%	0.15
30	N.Hammelev	🇩🇰 DENMARK	80	87.5%	0.15
31	A.Tylvad	🇩🇰 DENMARK	80	87.5%	0.15
32	J.Bjoerkan	🇳🇴 NORWAY	32	87.5%	0.16
33	J.Nordby	🇳🇴 NORWAY	32	87.5%	0.16
34	M.Bjoerk Heed	🇸🇪 SWEDEN	70	87.1%	0.14
35	K.Chheda	🇮🇳 INDIA	45	86.7%	0.24
36	V.Nandu	🇮🇳 INDIA	45	86.7%	0.24
37	A.Nilsson	🇸🇪 SWEDEN	74	86.5%	0.16
38	D.Balof	🇺🇸 USA1	44	86.4%	0.20
39	B.Ge	🇺🇸 USA2	50	86.0%	0.14
40	A.Gong	🇺🇸 USA2	50	86.0%	0.14
41	I.Moskovitz	🇮🇱 ISRAEL	64	85.9%	0.16
42	A.Petelko	🇮🇱 ISRAEL	64	85.9%	0.16
43	A.Silverstein	🇺🇸 USA1	49	85.7%	0.20
44	D.Tokes	🇭🇺 HUNGARY	55	85.5%	0.16
45	B.Zabradi	🇭🇺 HUNGARY	62	85.5%	0.19
46	J.Boge	🇺🇸 USA1	55	85.5%	0.20
47	A.Bukat	🇵🇱 POLAND	48	85.4%	0.21
48	F.Kurlit	🇵🇱 POLAND	48	85.4%	0.21
49	E.Derman	🇺🇸 USA1	60	85.0%	0.20
50	M.De Haan	🇳🇱 NETHERLANDS	46	84.8%	0.20
51	R.Van Zandbeek	🇳🇱 NETHERLANDS	46	84.8%	0.20
52	P.Hammelev	🇩🇰 DENMARK	72	84.7%	0.21
53	M.Larsen	🇩🇰 DENMARK	72	84.7%	0.21
54	I.Chen	🇹🇼 CHINESE TAIPEI	52	84.6%	0.17
55	K.Allas	🇪🇪 ESTONIA	57	84.2%	0.16
56	J.Gusson	🇪🇪 ESTONIA	57	84.2%	0.16
57	M.Chanal	🇫🇷 FRANCE	43	83.7%	0.19
58	C.Fragola Jarjaille	🇫🇷 FRANCE	43	83.7%	0.19
59	Y.Liu	🇨🇳 CHINA	49	83.7%	0.20
60	S.Saengtuen	🇹🇭 THAILAND	73	83.6%	0.20
61	D.Biborka	🇭🇺 HUNGARY	66	83.3%	0.24
62	M.Bertheau	🇸🇪 SWEDEN	83	83.1%	0.17
63	F.Asplund Sivelind	🇸🇪 SWEDEN	82	82.9%	0.18
64	Z.Zabradi	🇭🇺 HUNGARY	29	82.8%	0.24
65	T.Crosnier	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	46	82.6%	0.28
66	D.Sargent	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	46	82.6%	0.28
67	M.Brocken	🇳🇱 NETHERLANDS	51	82.4%	0.20
68	R.Brocken	🇳🇱 NETHERLANDS	51	82.4%	0.20
69	C.Saisith	🇹🇭 THAILAND	68	82.4%	0.22
70	K.Ge	🇺🇸 USA2	51	82.4%	0.29
71	B.Zhang	🇺🇸 USA2	51	82.4%	0.29
72	R.Kongsattra	🇹🇭 THAILAND	78	82.1%	0.22
73	J.Yan	🇨🇳 CHINA	44	81.8%	0.23
74	Y.Xiao	🇯🇵 JAPAN	49	81.6%	0.20
75	K.Austad	🇳🇴 NORWAY	54	81.5%	0.20
76	E.Osen	🇳🇴 NORWAY	54	81.5%	0.20
77	P.Jindakul	🇹🇭 THAILAND	74	81.1%	0.23
78	J.Wilkinson	🇦🇺 AUSTRALIA	52	78.8%	0.23
79	A.Wilsmore	🇦🇺 AUSTRALIA	52	78.8%	0.23
80	G.Gupta	🇮🇳 INDIA	40	77.5%	0.28
81	A.Mehta	🇮🇳 INDIA	40	77.5%	0.28
82	T.Gold	🇦🇺 AUSTRALIA	44	77.3%	0.32
83	T.Langdon Macmillan	🇦🇺 AUSTRALIA	44	77.3%	0.32
84	H.Tsuchiya	🇯🇵 JAPAN	65	76.9%	0.31
85	N.Matsuda	🇯🇵 JAPAN	69	76.8%	0.33
86	A.Hariharan	🇦🇺 AUSTRALIA	59	76.3%	0.32
87	A.Le	🇦🇺 AUSTRALIA	59	76.3%	0.32
88	L.Hakvoort	🇳🇱 NETHERLANDS	54	75.9%	0.26
89	P.Ter Maat	🇳🇱 NETHERLANDS	54	75.9%	0.26
90	X.Lin	🇹🇼 CHINESE TAIPEI	62	75.8%	0.26
91	L.Petelko	🇮🇱 ISRAEL	66	75.8%	0.35
92	K.Retter	🇮🇱 ISRAEL	66	75.8%	0.35
93	B.Ochoa	🇺🇾 URUGUAY	69	75.4%	0.33
94	D.Salaverri Bottaro	🇺🇾 URUGUAY	69	75.4%	0.33
95	T.Chen	🇹🇼 CHINESE TAIPEI	52	75.0%	0.27
96	C.Bens	🇫🇷 FRANCE	56	75.0%	0.34
97	M.Roches	🇫🇷 FRANCE	56	75.0%	0.34
98	H.Asano	🇯🇵 JAPAN	59	74.6%	0.37
99	H.Tsai	🇹🇼 CHINESE TAIPEI	50	74.0%	0.32
100	C.Chen	🇹🇼 CHINESE TAIPEI	50	74.0%	0.32
101	Y.Mashino	🇯🇵 JAPAN	60	71.7%	0.38
102	T.Chowdhury	🇮🇳 INDIA	49	69.4%	0.37
103	M.Prakash	🇮🇳 INDIA	49	69.4%	0.37
104	B.Alberti Carcabelos	🇺🇾 URUGUAY	92	67.4%	0.38
105	T.Pejacsevich	🇺🇾 URUGUAY	92	67.4%	0.38
106	S.Chan	🇭🇰 HONG KONG CHINA	18	94.4%	0.06
107	C.Leung	🇭🇰 HONG KONG CHINA	18	94.4%	0.06
108	S.Allas	🇪🇪 ESTONIA	13	92.3%	0.08
109	E.Orma	🇪🇪 ESTONIA	13	92.3%	0.08
110	G.Szabo	🇭🇺 HUNGARY	38	86.8%	0.18
111	M.Juhasz-Molnar	🇭🇺 HUNGARY	30	86.7%	0.23
112	H.Larhnimi	🇸🇪 SWEDEN	5	80.0%	0.20
113	K.Konsen	🇹🇭 THAILAND	21	76.2%	0.24
114	Y.Kamporn	🇹🇭 THAILAND	20	75.0%	0.25

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	N.Heiberg-Evenstad	🇳🇴 NORWAY	309	161	52.1%
2	S.Zaidenberg Gatt	🇮🇱 ISRAEL	181	93	51.4%
3	P.Hammelev	🇩🇰 DENMARK	435	223	51.3%
4	X.Yan	🇨🇳 CHINA	327	165	50.5%
5	A.Pedmanson	🇪🇪 ESTONIA	427	215	50.4%
6	W.Okrzesik	🇵🇱 POLAND	348	175	50.3%
7	K.Austad	🇳🇴 NORWAY	312	156	50.0%
8	G.Gupta	🇮🇳 INDIA	254	123	48.4%
9	D.Tokes	🇭🇺 HUNGARY	391	189	48.3%
10	M.Larsen	🇩🇰 DENMARK	431	204	47.3%
11	K.Allas	🇪🇪 ESTONIA	370	175	47.3%
12	J.Gusson	🇪🇪 ESTONIA	370	175	47.3%
13	T.Chowdhury	🇮🇳 INDIA	315	149	47.3%
14	M.Brocken	🇳🇱 NETHERLANDS	301	142	47.2%
15	B.Zhang	🇺🇸 USA2	310	146	47.1%
16	J.Vahk	🇪🇪 ESTONIA	428	199	46.5%
17	B.Zabradi	🇭🇺 HUNGARY	424	197	46.5%
18	X.Lin	🇹🇼 CHINESE TAIPEI	340	158	46.5%
19	H.Tsuchiya	🇯🇵 JAPAN	373	173	46.4%
20	A.Brogeland	🇳🇴 NORWAY	319	148	46.4%
21	J.Ma	🇨🇳 CHINA	283	131	46.3%
22	B.Ochoa	🇺🇾 URUGUAY	431	199	46.2%
23	T.Crosnier	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	240	110	45.8%
24	K.Kuflowski	🇵🇱 POLAND	351	160	45.6%
25	D.Biborka	🇭🇺 HUNGARY	393	179	45.5%
26	X.Zhang	🇨🇳 CHINA	336	153	45.5%
27	R.Van Zandbeek	🇳🇱 NETHERLANDS	275	125	45.5%
28	A.Silverstein	🇺🇸 USA1	284	129	45.4%
29	M.De Haan	🇳🇱 NETHERLANDS	271	123	45.4%
30	R.Brocken	🇳🇱 NETHERLANDS	300	136	45.3%
31	D.Sargent	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	234	106	45.3%
32	A.Nilsson	🇸🇪 SWEDEN	437	197	45.1%
33	A.Hariharan	🇦🇺 AUSTRALIA	286	129	45.1%
34	D.Balof	🇺🇸 USA1	268	121	45.1%
35	A.Shek	🇭🇰 HONG KONG CHINA	373	168	45.0%
36	Y.Shor	🇮🇱 ISRAEL	180	81	45.0%
37	S.Chan	🇭🇰 HONG KONG CHINA	374	168	44.9%
38	A.Bukat	🇵🇱 POLAND	283	127	44.9%
39	A.Le	🇦🇺 AUSTRALIA	274	123	44.9%
40	T.Zheng	🇨🇳 CHINA	266	119	44.7%
41	M.Bjoerk Heed	🇸🇪 SWEDEN	410	183	44.6%
42	T.Chen	🇹🇼 CHINESE TAIPEI	280	125	44.6%
43	J.Nordby	🇳🇴 NORWAY	218	97	44.5%
44	C.Ben Guigui	🇫🇷 FRANCE	336	149	44.3%
45	J.Kot	🇵🇱 POLAND	235	104	44.3%
46	N.Hammelev	🇩🇰 DENMARK	419	185	44.2%
47	A.Tylvad	🇩🇰 DENMARK	424	187	44.1%
48	W.Wnuk	🇵🇱 POLAND	238	105	44.1%
49	F.Kurlit	🇵🇱 POLAND	285	125	43.9%
50	Z.Zabradi	🇭🇺 HUNGARY	180	79	43.9%
51	J.Fegarty	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	338	148	43.8%
52	K.Ge	🇺🇸 USA2	313	137	43.8%
53	T.Langdon Macmillan	🇦🇺 AUSTRALIA	267	117	43.8%
54	J.Boge	🇺🇸 USA1	262	114	43.5%
55	C.Bedford	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	253	110	43.5%
56	A.Mehta	🇮🇳 INDIA	253	110	43.5%
57	E.Xiao	🇺🇸 USA2	281	122	43.4%
58	C.Bens	🇫🇷 FRANCE	312	135	43.3%
59	R.Kongsattra	🇹🇭 THAILAND	389	168	43.2%
60	C.Hui	🇭🇰 HONG KONG CHINA	375	162	43.2%
61	D.Salaverri Bottaro	🇺🇾 URUGUAY	432	186	43.1%
62	C.Saisith	🇹🇭 THAILAND	344	148	43.0%
63	Y.Liu	🇨🇳 CHINA	244	105	43.0%
64	E.Osen	🇳🇴 NORWAY	319	137	42.9%
65	M.Prakash	🇮🇳 INDIA	319	137	42.9%
66	I.Moskovitz	🇮🇱 ISRAEL	308	132	42.9%
67	P.Ter Maat	🇳🇱 NETHERLANDS	261	112	42.9%
68	F.Asplund Sivelind	🇸🇪 SWEDEN	432	184	42.6%
69	M.Bertheau	🇸🇪 SWEDEN	425	181	42.6%
70	L.Petelko	🇮🇱 ISRAEL	335	142	42.4%
71	J.Chiang	🇭🇰 HONG KONG CHINA	385	163	42.3%
72	N.Matsuda	🇯🇵 JAPAN	366	154	42.1%
73	I.Chen	🇹🇼 CHINESE TAIPEI	304	128	42.1%
74	A.Petelko	🇮🇱 ISRAEL	312	131	42.0%
75	L.Hakvoort	🇳🇱 NETHERLANDS	255	106	41.6%
76	T.Gold	🇦🇺 AUSTRALIA	270	112	41.5%
77	H.Asano	🇯🇵 JAPAN	366	151	41.3%
78	S.Pahk	🇺🇸 USA1	286	118	41.3%
79	L.Norman	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	255	105	41.2%
80	M.Haas	🇺🇸 USA1	290	118	40.7%
81	J.Wilkinson	🇦🇺 AUSTRALIA	269	109	40.5%
82	Y.Mashino	🇯🇵 JAPAN	354	143	40.4%
83	V.Nandu	🇮🇳 INDIA	313	126	40.3%
84	E.Bonin	🇫🇷 FRANCE	341	137	40.2%
85	Y.Xiao	🇯🇵 JAPAN	291	117	40.2%
86	S.Saengtuen	🇹🇭 THAILAND	374	150	40.1%
87	T.Gardner	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	344	138	40.1%
88	J.Bjoerkan	🇳🇴 NORWAY	222	89	40.1%
89	J.Shen	🇹🇼 CHINESE TAIPEI	276	110	39.9%
90	K.Retter	🇮🇱 ISRAEL	342	136	39.8%
91	C.Fragola Jarjaille	🇫🇷 FRANCE	194	77	39.7%
92	A.Gong	🇺🇸 USA2	261	103	39.5%
93	C.Chen	🇺🇸 USA2	271	106	39.1%
94	K.Chheda	🇮🇳 INDIA	305	119	39.0%
95	P.Jindakul	🇹🇭 THAILAND	363	141	38.8%
96	A.Wilsmore	🇦🇺 AUSTRALIA	268	104	38.8%
97	C.Chen	🇹🇼 CHINESE TAIPEI	242	92	38.0%
98	E.Derman	🇺🇸 USA1	290	109	37.6%
99	J.Yan	🇨🇳 CHINA	224	84	37.5%
100	B.Ge	🇺🇸 USA2	259	96	37.1%
101	M.Roches	🇫🇷 FRANCE	319	117	36.7%
102	B.Alberti Carcabelos	🇺🇾 URUGUAY	416	152	36.5%
103	H.Tsai	🇹🇼 CHINESE TAIPEI	250	90	36.0%
104	T.Pejacsevich	🇺🇾 URUGUAY	415	135	32.5%
105	M.Chanal	🇫🇷 FRANCE	190	61	32.1%
106	M.Juhasz-Molnar	🇭🇺 HUNGARY	151	65	43.0%
107	K.Konsen	🇹🇭 THAILAND	124	53	42.7%
108	Y.Kamporn	🇹🇭 THAILAND	131	52	39.7%
109	S.Chan	🇭🇰 HONG KONG CHINA	84	33	39.3%
110	E.Orma	🇪🇪 ESTONIA	57	22	38.6%
111	G.Szabo	🇭🇺 HUNGARY	168	60	35.7%
112	S.Allas	🇪🇪 ESTONIA	54	17	31.5%
113	C.Leung	🇭🇰 HONG KONG CHINA	85	26	30.6%
114	H.Larhnimi	🇸🇪 SWEDEN	20	6	30.0%

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.Pedmanson	🇪🇪 ESTONIA	152	-0.13	+1.47	+1.34	·
2	J.Vahk	🇪🇪 ESTONIA	152	-0.13	+1.47	+1.34	·
3	J.Fegarty	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	120	-0.02	+0.94	+0.93	▲2
4	T.Gardner	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	120	-0.02	+0.94	+0.93	▲2
5	I.Moskovitz	🇮🇱 ISRAEL	112	-0.11	+0.99	+0.88	▼2
6	A.Petelko	🇮🇱 ISRAEL	112	-0.11	+0.99	+0.88	▼2
7	D.Biborka	🇭🇺 HUNGARY	136	-0.03	+0.78	+0.76	·
8	D.Tokes	🇭🇺 HUNGARY	144	+0.11	+0.56	+0.67	▲12
9	M.Brocken	🇳🇱 NETHERLANDS	112	+0.09	+0.58	+0.67	▲6
10	R.Brocken	🇳🇱 NETHERLANDS	112	+0.09	+0.58	+0.67	▲6
11	K.Ge	🇺🇸 USA2	104	-0.04	+0.71	+0.67	▼3
12	B.Zhang	🇺🇸 USA2	104	-0.04	+0.71	+0.67	▼3
13	K.Kuflowski	🇵🇱 POLAND	128	+0.15	+0.49	+0.64	▲11
14	W.Okrzesik	🇵🇱 POLAND	128	+0.15	+0.49	+0.64	▲11
15	H.Tsai	🇹🇼 CHINESE TAIPEI	88	+0.01	+0.58	+0.59	▼3
16	K.Allas	🇪🇪 ESTONIA	128	+0.28	+0.31	+0.59	▲20
17	J.Gusson	🇪🇪 ESTONIA	128	+0.28	+0.31	+0.59	▲20
18	P.Hammelev	🇩🇰 DENMARK	152	-0.00	+0.58	+0.58	▼5
19	M.Larsen	🇩🇰 DENMARK	152	-0.00	+0.58	+0.58	▼5
20	M.Haas	🇺🇸 USA1	104	+0.01	+0.53	+0.55	▲1
21	S.Pahk	🇺🇸 USA1	104	+0.01	+0.53	+0.55	▲1
22	J.Chiang	🇭🇰 HONG KONG CHINA	136	-0.08	+0.62	+0.54	▼12
23	A.Shek	🇭🇰 HONG KONG CHINA	136	-0.08	+0.62	+0.54	▼12
24	A.Brogeland	🇳🇴 NORWAY	112	-0.05	+0.57	+0.52	▼6
25	N.Heiberg-Evenstad	🇳🇴 NORWAY	112	-0.05	+0.57	+0.52	▼6
26	C.Chen	🇹🇼 CHINESE TAIPEI	88	+0.02	+0.44	+0.47	▲3
27	Z.Zabradi	🇭🇺 HUNGARY	64	+0.12	+0.31	+0.44	▲8
28	C.Ben Guigui	🇫🇷 FRANCE	120	+0.12	+0.30	+0.42	▲10
29	E.Bonin	🇫🇷 FRANCE	120	+0.12	+0.30	+0.42	▲10
30	E.Derman	🇺🇸 USA1	104	-0.19	+0.57	+0.38	▼13
31	B.Ge	🇺🇸 USA2	96	-0.11	+0.48	+0.37	▼5
32	A.Gong	🇺🇸 USA2	96	-0.11	+0.48	+0.37	▼5
33	Y.Shor	🇮🇱 ISRAEL	64	-0.03	+0.37	+0.34	▼3
34	S.Zaidenberg Gatt	🇮🇱 ISRAEL	64	-0.03	+0.37	+0.34	▼3
35	K.Austad	🇳🇴 NORWAY	112	+0.06	+0.27	+0.33	▲11
36	E.Osen	🇳🇴 NORWAY	112	+0.06	+0.27	+0.33	▲11
37	M.Bjoerk Heed	🇸🇪 SWEDEN	144	-0.00	+0.33	+0.33	▼3
38	A.Nilsson	🇸🇪 SWEDEN	152	-0.03	+0.36	+0.33	▼6
39	L.Petelko	🇮🇱 ISRAEL	128	+0.04	+0.28	+0.33	▲2
40	K.Retter	🇮🇱 ISRAEL	128	+0.04	+0.28	+0.33	▲2
41	B.Zabradi	🇭🇺 HUNGARY	152	+0.03	+0.30	+0.32	▼1
42	J.Boge	🇺🇸 USA1	96	-0.23	+0.50	+0.27	▼19
43	T.Zheng	🇨🇳 CHINA	96	-0.19	+0.45	+0.26	▼15
44	N.Hammelev	🇩🇰 DENMARK	152	-0.02	+0.28	+0.25	·
45	A.Tylvad	🇩🇰 DENMARK	152	-0.02	+0.28	+0.25	·
46	Y.Xiao	🇯🇵 JAPAN	104	+0.25	-0.02	+0.23	▲18
47	T.Crosnier	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	88	+0.04	+0.18	+0.22	▲6
48	D.Sargent	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	88	+0.04	+0.18	+0.22	▲6
49	J.Ma	🇨🇳 CHINA	104	-0.13	+0.33	+0.20	▼16
50	F.Asplund Sivelind	🇸🇪 SWEDEN	152	-0.07	+0.25	+0.18	▲1
51	K.Chheda	🇮🇳 INDIA	104	+0.27	-0.12	+0.15	▲18
52	V.Nandu	🇮🇳 INDIA	104	+0.27	-0.12	+0.15	▲18
53	J.Kot	🇵🇱 POLAND	80	+0.07	+0.07	+0.14	▲7
54	W.Wnuk	🇵🇱 POLAND	80	+0.07	+0.07	+0.14	▲7
55	M.Bertheau	🇸🇪 SWEDEN	152	-0.01	+0.15	+0.14	▲4
56	H.Asano	🇯🇵 JAPAN	128	-0.16	+0.28	+0.13	▼13
57	M.De Haan	🇳🇱 NETHERLANDS	96	-0.14	+0.26	+0.12	▼8
58	R.Van Zandbeek	🇳🇱 NETHERLANDS	96	-0.14	+0.26	+0.12	▼8
59	X.Yan	🇨🇳 CHINA	120	+0.22	-0.11	+0.10	▲8
60	X.Zhang	🇨🇳 CHINA	120	+0.22	-0.11	+0.10	▲8
61	C.Chen	🇺🇸 USA2	104	+0.17	-0.19	-0.01	▲12
62	E.Xiao	🇺🇸 USA2	104	+0.17	-0.19	-0.01	▲12
63	C.Bedford	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	96	+0.02	-0.04	-0.02	▲2
64	L.Norman	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	96	+0.02	-0.04	-0.02	▲2
65	A.Silverstein	🇺🇸 USA1	104	+0.14	-0.18	-0.04	▲7
66	C.Bens	🇫🇷 FRANCE	112	-0.22	+0.17	-0.05	▼11
67	M.Roches	🇫🇷 FRANCE	112	-0.22	+0.17	-0.05	▼11
68	M.Chanal	🇫🇷 FRANCE	72	+0.16	-0.23	-0.08	▲8
69	C.Fragola Jarjaille	🇫🇷 FRANCE	72	+0.16	-0.23	-0.08	▲8
70	P.Jindakul	🇹🇭 THAILAND	128	+0.18	-0.27	-0.09	▲8
71	C.Saisith	🇹🇭 THAILAND	128	-0.35	+0.26	-0.09	▼23
72	S.Saengtuen	🇹🇭 THAILAND	136	-0.31	+0.22	-0.10	▼20
73	J.Bjoerkan	🇳🇴 NORWAY	80	-0.27	+0.17	-0.10	▼16
74	J.Nordby	🇳🇴 NORWAY	80	-0.27	+0.17	-0.10	▼16
75	S.Chan	🇭🇰 HONG KONG CHINA	136	-0.12	+0.00	-0.12	▼13
76	C.Hui	🇭🇰 HONG KONG CHINA	136	-0.12	+0.00	-0.12	▼13
77	R.Kongsattra	🇹🇭 THAILAND	136	+0.10	-0.23	-0.13	▼2
78	D.Balof	🇺🇸 USA1	96	+0.13	-0.31	-0.18	▲3
79	X.Lin	🇹🇼 CHINESE TAIPEI	128	-0.12	-0.16	-0.28	▼8
80	A.Bukat	🇵🇱 POLAND	96	-0.13	-0.28	-0.41	▼1
81	F.Kurlit	🇵🇱 POLAND	96	-0.13	-0.28	-0.41	▼1
82	N.Matsuda	🇯🇵 JAPAN	128	-0.10	-0.32	-0.42	▲1
83	H.Tsuchiya	🇯🇵 JAPAN	128	+0.08	-0.53	-0.45	▲2
84	T.Chen	🇹🇼 CHINESE TAIPEI	104	-0.18	-0.31	-0.49	▼2
85	G.Gupta	🇮🇳 INDIA	88	+0.11	-0.62	-0.51	▲3
86	A.Mehta	🇮🇳 INDIA	88	+0.11	-0.62	-0.51	▲3
87	Y.Mashino	🇯🇵 JAPAN	120	-0.10	-0.43	-0.54	▼3
88	I.Chen	🇹🇼 CHINESE TAIPEI	104	+0.13	-0.77	-0.64	▲4
89	Y.Liu	🇨🇳 CHINA	88	+0.01	-0.67	-0.66	▲2
90	J.Yan	🇨🇳 CHINA	80	-0.04	-0.64	-0.68	·
91	J.Shen	🇹🇼 CHINESE TAIPEI	96	+0.11	-0.83	-0.72	▲2
92	J.Wilkinson	🇦🇺 AUSTRALIA	104	-0.27	-0.57	-0.84	▼6
93	A.Wilsmore	🇦🇺 AUSTRALIA	104	-0.27	-0.57	-0.84	▼6
94	L.Hakvoort	🇳🇱 NETHERLANDS	96	+0.06	-0.90	-0.84	·
95	P.Ter Maat	🇳🇱 NETHERLANDS	96	+0.06	-0.90	-0.84	·
96	A.Hariharan	🇦🇺 AUSTRALIA	104	+0.26	-1.22	-0.96	▲2
97	A.Le	🇦🇺 AUSTRALIA	104	+0.26	-1.22	-0.96	▲2
98	B.Ochoa	🇺🇾 URUGUAY	152	-0.05	-1.11	-1.16	▼2
99	D.Salaverri Bottaro	🇺🇾 URUGUAY	152	-0.05	-1.11	-1.16	▼2
100	T.Chowdhury	🇮🇳 INDIA	112	-0.20	-1.62	-1.82	·
101	M.Prakash	🇮🇳 INDIA	112	-0.20	-1.62	-1.82	·
102	B.Alberti Carcabelos	🇺🇾 URUGUAY	152	+0.22	-2.11	-1.89	·
103	T.Pejacsevich	🇺🇾 URUGUAY	152	+0.22	-2.11	-1.89	·
104	T.Gold	🇦🇺 AUSTRALIA	96	+0.31	-2.38	-2.07	·
105	T.Langdon Macmillan	🇦🇺 AUSTRALIA	96	+0.31	-2.38	-2.07	·

Stages

Statistics

Tables