Veldhoven 2023 — 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	I.Baniri	🇮🇱 ISRAEL	180	+1.43	+257.0
2	T.Loonstein	🇮🇱 ISRAEL	180	+1.43	+257.0
3	Z.Grossack	🇺🇸 USA1	216	+1.29	+279.0
4	F.Kolesnik	🇺🇸 USA1	216	+1.29	+279.0
5	A.Boulin	🇫🇷 FRANCE	180	+1.22	+219.0
6	T.Guillemin	🇫🇷 FRANCE	180	+1.22	+219.0
7	N.Apteker	🇺🇸 USA1	132	+1.07	+141.0
8	E.Kolesnik	🇺🇸 USA1	132	+1.07	+141.0
9	G.Donati	🇮🇹 ITALY	240	+1.03	+247.0
10	S.Thorpe	🇳🇱 NETHERLANDS	180	+0.98	+177.0
11	S.Van Oosten	🇳🇱 NETHERLANDS	180	+0.98	+177.0
12	J.Bazyluk	🇵🇱 POLAND	168	+0.95	+160.0
13	T.Kielbasa	🇵🇱 POLAND	168	+0.95	+160.0
14	S.Gu	🇨🇳 CHINA	204	+0.93	+189.0
15	B.Miao	🇨🇳 CHINA	204	+0.93	+189.0
16	I.Papaspyrou	🇬🇷 GREECE	120	+0.91	+109.0
17	I.Pollatou	🇬🇷 GREECE	120	+0.91	+109.0
18	F.Porta	🇮🇹 ITALY	216	+0.89	+192.0
19	Y.Song	🇯🇵 JAPAN	216	+0.87	+187.0
20	N.Yamamoto	🇯🇵 JAPAN	216	+0.87	+187.0
21	B.Xiao	🇺🇸 USA2	240	+0.73	+176.0
22	E.Hansson	🇸🇪 SWEDEN	216	+0.72	+155.0
23	C.Mann	🇸🇪 SWEDEN	216	+0.72	+155.0
24	P.Pabst	🇩🇪 GERMANY	216	+0.72	+155.0
25	R.Jeng	🇺🇸 USA2	240	+0.71	+171.0
26	B.Jiang	🇨🇳 CHINA	228	+0.69	+158.0
27	Y.Wen	🇨🇳 CHINA	228	+0.69	+158.0
28	H.Hjorth Warlenius	🇸🇪 SWEDEN	132	+0.66	+87.0
29	I.Lichtenstein	🇸🇪 SWEDEN	132	+0.66	+87.0
30	M.Ferenca	🇭🇷 CROATIA	276	+0.65	+179.0
31	V.Leskovar	🇭🇷 CROATIA	276	+0.65	+179.0
32	M.Eker	🇹🇷 TURKIYE	168	+0.60	+100.0
33	C.Gulez	🇹🇷 TURKIYE	168	+0.60	+100.0
34	N.Khutorsky	🇮🇱 ISRAEL	168	+0.57	+95.0
35	A.Zeitak	🇮🇱 ISRAEL	168	+0.57	+95.0
36	M.Litterst	🇩🇪 GERMANY	204	+0.47	+95.0
37	F.Doermer	🇩🇪 GERMANY	156	+0.46	+72.0
38	S.Farwig	🇩🇪 GERMANY	156	+0.46	+72.0
39	A.Hutton	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	180	+0.42	+76.0
40	L.Sanderson	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	180	+0.42	+76.0
41	O.Toledano	🇮🇱 ISRAEL	204	+0.40	+82.0
42	A.Zamir	🇮🇱 ISRAEL	204	+0.40	+82.0
43	V.Lamoureux	🇨🇦 CANADA	216	+0.35	+76.0
44	L.Lee	🇸🇬 SINGAPORE	228	+0.34	+77.0
45	B.Yang	🇸🇬 SINGAPORE	228	+0.34	+77.0
46	Y.Lin	🇹🇼 CHINESE TAIPEI	192	+0.32	+61.0
47	W.Ye	🇹🇼 CHINESE TAIPEI	192	+0.32	+61.0
48	B.Kristensen	🇺🇸 USA1	204	+0.28	+57.0
49	K.Rosenberg	🇺🇸 USA1	204	+0.28	+57.0
50	D.Gue	🇦🇺 AUSTRALIA	192	+0.28	+53.0
51	J.Tomlin	🇦🇺 AUSTRALIA	192	+0.28	+53.0
52	H.Coban	🇹🇷 TURKIYE	216	+0.26	+56.0
53	M.Kalayci	🇹🇷 TURKIYE	216	+0.26	+56.0
54	J.Freeman	🇨🇦 CANADA	228	+0.25	+56.0
55	D.Kapiris	🇬🇷 GREECE	192	+0.24	+46.0
56	M.Soumplis	🇬🇷 GREECE	192	+0.24	+46.0
57	K.Cichy	🇵🇱 POLAND	192	+0.23	+45.0
58	K.Kopka	🇵🇱 POLAND	192	+0.23	+45.0
59	L.Chan	🇭🇰 HONG KONG CHINA	204	+0.22	+44.0
60	W.Cheung	🇭🇰 HONG KONG CHINA	204	+0.22	+44.0
61	L.Bonin	🇫🇷 FRANCE	180	+0.16	+29.0
62	T.Guichet	🇫🇷 FRANCE	180	+0.16	+29.0
63	X.Teo	🇸🇬 SINGAPORE	252	+0.15	+39.0
64	T.Wu	🇸🇬 SINGAPORE	252	+0.15	+39.0
65	S.Basu	🇮🇳 INDIA	192	+0.09	+18.0
66	S.Sarkar	🇮🇳 INDIA	192	+0.09	+18.0
67	G.Giubilo	🇮🇹 ITALY	156	+0.08	+13.0
68	G.Giubilo	🇮🇹 ITALY	156	+0.08	+13.0
69	F.Kritsalis	🇬🇷 GREECE	240	+0.07	+18.0
70	P.Skordas	🇬🇷 GREECE	240	+0.07	+18.0
71	M.Kedzierski	🇵🇱 POLAND	192	+0.07	+14.0
72	B.Krawczyk	🇵🇱 POLAND	192	+0.07	+14.0
73	K.Chang	🇹🇼 CHINESE TAIPEI	156	+0.04	+7.0
74	X.Lin	🇹🇼 CHINESE TAIPEI	156	+0.04	+7.0
75	Y.Caris	🇳🇱 NETHERLANDS	156	+0.03	+4.0
76	P.Dupont	🇳🇱 NETHERLANDS	156	+0.03	+4.0
77	A.Lin	🇺🇸 USA2	216	-0.02	-5.0
78	R.Nunez	🇦🇷 ARGENTINA	192	-0.03	-5.0
79	S.Semberoiz	🇦🇷 ARGENTINA	192	-0.03	-5.0
80	M.Nakamuta	🇯🇵 JAPAN	192	-0.03	-6.0
81	F.Nishita	🇯🇵 JAPAN	192	-0.03	-6.0
82	B.Etchepareborda	🇦🇷 ARGENTINA	180	-0.06	-11.0
83	F.Guerra	🇦🇷 ARGENTINA	180	-0.06	-11.0
84	Y.Tse	🇭🇰 HONG KONG CHINA	120	-0.12	-14.0
85	S.Clementsson	🇸🇪 SWEDEN	204	-0.15	-31.0
86	A.Sandin	🇸🇪 SWEDEN	204	-0.15	-31.0
87	I.Bilusic	🇭🇷 CROATIA	276	-0.23	-63.0
88	E.Evacic	🇭🇷 CROATIA	276	-0.23	-63.0
89	J.Clark	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	168	-0.27	-46.0
90	H.Madden	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	168	-0.27	-46.0
91	H.Kuscu	🇹🇷 TURKIYE	168	-0.28	-47.0
92	T.Sari	🇹🇷 TURKIYE	168	-0.28	-47.0
93	R.Toom	🇪🇪 ESTONIA	180	-0.31	-56.0
94	R.Zvorovski	🇪🇪 ESTONIA	180	-0.31	-56.0
95	S.Anoyrkatis	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	204	-0.37	-76.0
96	D.Winter	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	204	-0.37	-76.0
97	K.Baliram Gurjar	🇮🇳 INDIA	168	-0.38	-63.0
98	V.Patel	🇮🇳 INDIA	168	-0.38	-63.0
99	M.Zhao	🇨🇦 CANADA	144	-0.48	-69.0
100	S.Scata	🇮🇹 ITALY	180	-0.48	-87.0
101	R.Luhaorg	🇪🇪 ESTONIA	180	-0.49	-88.0
102	R.Piirisild	🇪🇪 ESTONIA	180	-0.49	-88.0
103	F.Chen	🇹🇼 CHINESE TAIPEI	204	-0.51	-105.0
104	C.Yang	🇹🇼 CHINESE TAIPEI	204	-0.51	-105.0
105	C.Havens	🇨🇦 CANADA	156	-0.52	-81.0
106	ACHARYA SHUBHAM	🇮🇳 INDIA	192	-0.55	-105.0
107	A.Prakash	🇮🇳 INDIA	192	-0.55	-105.0
108	D.Flicker	🇦🇺 AUSTRALIA	180	-0.55	-99.0
109	S.Wright	🇦🇺 AUSTRALIA	180	-0.55	-99.0
110	Z.Li	🇨🇳 CHINA	120	-0.72	-87.0
111	Y.Liao	🇨🇳 CHINA	120	-0.72	-87.0
112	S.Langdon-Macmillan	🇦🇺 AUSTRALIA	180	-0.73	-131.0
113	T.Libman	🇦🇺 AUSTRALIA	180	-0.73	-131.0
114	J.Kaasik	🇪🇪 ESTONIA	192	-0.73	-140.0
115	R.Maide	🇪🇪 ESTONIA	192	-0.73	-140.0
116	L.Vornkahl	🇩🇪 GERMANY	192	-0.74	-142.0
117	Q.Wan	🇺🇸 USA2	192	-0.78	-149.0
118	O.Laufer	🇨🇦 CANADA	180	-0.79	-142.0
119	D.Li	🇨🇦 CANADA	180	-0.83	-150.0
120	A.Gaiotti	🇮🇹 ITALY	156	-0.91	-142.0
121	Y.Poon	🇭🇰 HONG KONG CHINA	240	-0.94	-225.0
122	C.Hui	🇭🇰 HONG KONG CHINA	228	-1.11	-253.0
123	S.Jesse	🇩🇪 GERMANY	180	-1.12	-202.0
124	C.Duffie	🇺🇸 USA2	216	-1.13	-245.0
125	M.Fragola	🇫🇷 FRANCE	192	-1.27	-243.0
126	N.Tabata	🇫🇷 FRANCE	192	-1.27	-243.0
127	C.Feintuch	🇦🇷 ARGENTINA	180	-1.34	-241.0
128	T.Popowsky	🇦🇷 ARGENTINA	180	-1.34	-241.0
129	R.Kondo	🇯🇵 JAPAN	144	-1.44	-208.0
130	H.Yonekura	🇯🇵 JAPAN	144	-1.44	-208.0
131	R.Lorde	🇧🇧 BARBADOS	276	-2.16	-597.0
132	P.Nicholls	🇧🇧 BARBADOS	276	-2.16	-597.0
133	E.Edwards	🇧🇧 BARBADOS	276	-2.54	-700.0
134	J.Parsons	🇧🇧 BARBADOS	276	-2.54	-700.0
135	H.Gao	🇸🇬 SINGAPORE	72	-0.33	-24.0
136	N.Xu	🇸🇬 SINGAPORE	72	-0.33	-24.0
137	Y.Chung	🇭🇰 HONG KONG CHINA	108	-0.39	-42.0

Opening-lead accuracy↑ top

How often a player’s opening lead held declarer to the same tricks as the best defensive lead double-dummy. Players with few boards are greyed. Click a column header to sort; filter by name or team.

#	Player	Team	Leads	On target	Conceded
1	J.Clark	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	39	94.9%	0.05
2	S.Basu	🇮🇳 INDIA	35	94.3%	0.06
3	G.Giubilo	🇮🇹 ITALY	44	93.2%	0.09
4	M.Kedzierski	🇵🇱 POLAND	50	92.0%	0.08
5	T.Sari	🇹🇷 TURKIYE	49	91.8%	0.10
6	F.Guerra	🇦🇷 ARGENTINA	44	90.9%	0.11
7	I.Pollatou	🇬🇷 GREECE	31	90.3%	0.10
8	L.Bonin	🇫🇷 FRANCE	40	90.0%	0.10
9	M.Soumplis	🇬🇷 GREECE	49	89.8%	0.12
10	S.Anoyrkatis	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	47	89.4%	0.15
11	N.Apteker	🇺🇸 USA1	37	89.2%	0.11
12	F.Chen	🇹🇼 CHINESE TAIPEI	37	89.2%	0.14
13	S.Semberoiz	🇦🇷 ARGENTINA	46	89.1%	0.11
14	A.Prakash	🇮🇳 INDIA	35	88.6%	0.11
15	J.Bazyluk	🇵🇱 POLAND	43	88.4%	0.12
16	Q.Wan	🇺🇸 USA2	51	88.2%	0.16
17	T.Loonstein	🇮🇱 ISRAEL	42	88.1%	0.14
18	S.Sarkar	🇮🇳 INDIA	49	87.8%	0.12
19	S.Scata	🇮🇹 ITALY	40	87.5%	0.12
20	T.Libman	🇦🇺 AUSTRALIA	40	87.5%	0.15
21	L.Chan	🇭🇰 HONG KONG CHINA	55	87.3%	0.13
22	I.Lichtenstein	🇸🇪 SWEDEN	39	87.2%	0.15
23	B.Yang	🇸🇬 SINGAPORE	54	87.0%	0.20
24	T.Guillemin	🇫🇷 FRANCE	60	86.7%	0.15
25	M.Ferenca	🇭🇷 CROATIA	75	86.7%	0.17
26	A.Hutton	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	44	86.4%	0.16
27	S.Van Oosten	🇳🇱 NETHERLANDS	51	86.3%	0.16
28	F.Kritsalis	🇬🇷 GREECE	58	86.2%	0.15
29	R.Nunez	🇦🇷 ARGENTINA	58	86.2%	0.17
30	A.Zeitak	🇮🇱 ISRAEL	43	86.0%	0.14
31	M.Zhao	🇨🇦 CANADA	42	85.7%	0.17
32	V.Patel	🇮🇳 INDIA	42	85.7%	0.17
33	E.Evacic	🇭🇷 CROATIA	63	85.7%	0.17
34	F.Porta	🇮🇹 ITALY	55	85.5%	0.29
35	B.Miao	🇨🇳 CHINA	54	85.2%	0.15
36	D.Gue	🇦🇺 AUSTRALIA	54	85.2%	0.15
37	Y.Song	🇯🇵 JAPAN	61	85.2%	0.16
38	Y.Poon	🇭🇰 HONG KONG CHINA	61	85.2%	0.18
39	T.Popowsky	🇦🇷 ARGENTINA	47	85.1%	0.15
40	A.Zamir	🇮🇱 ISRAEL	40	85.0%	0.20
41	H.Coban	🇹🇷 TURKIYE	53	84.9%	0.15
42	S.Thorpe	🇳🇱 NETHERLANDS	46	84.8%	0.17
43	Y.Liao	🇨🇳 CHINA	33	84.8%	0.18
44	O.Laufer	🇨🇦 CANADA	46	84.8%	0.22
45	A.Boulin	🇫🇷 FRANCE	46	84.8%	0.24
46	W.Cheung	🇭🇰 HONG KONG CHINA	39	84.6%	0.18
47	K.Baliram Gurjar	🇮🇳 INDIA	52	84.6%	0.19
48	W.Ye	🇹🇼 CHINESE TAIPEI	64	84.4%	0.19
49	P.Dupont	🇳🇱 NETHERLANDS	45	84.4%	0.22
50	V.Lamoureux	🇨🇦 CANADA	51	84.3%	0.16
51	L.Lee	🇸🇬 SINGAPORE	70	84.3%	0.17
52	S.Langdon-Macmillan	🇦🇺 AUSTRALIA	31	83.9%	0.16
53	I.Bilusic	🇭🇷 CROATIA	62	83.9%	0.21
54	C.Duffie	🇺🇸 USA2	43	83.7%	0.16
55	F.Kolesnik	🇺🇸 USA1	49	83.7%	0.22
56	T.Wu	🇸🇬 SINGAPORE	60	83.3%	0.20
57	R.Kondo	🇯🇵 JAPAN	47	83.0%	0.17
58	F.Doermer	🇩🇪 GERMANY	35	82.9%	0.17
59	V.Leskovar	🇭🇷 CROATIA	70	82.9%	0.17
60	R.Luhaorg	🇪🇪 ESTONIA	35	82.9%	0.17
61	T.Guichet	🇫🇷 FRANCE	41	82.9%	0.22
62	M.Nakamuta	🇯🇵 JAPAN	52	82.7%	0.21
63	K.Kopka	🇵🇱 POLAND	46	82.6%	0.17
64	Z.Grossack	🇺🇸 USA1	46	82.6%	0.22
65	A.Lin	🇺🇸 USA2	57	82.5%	0.21
66	L.Vornkahl	🇩🇪 GERMANY	51	82.4%	0.18
67	C.Yang	🇹🇼 CHINESE TAIPEI	45	82.2%	0.18
68	C.Havens	🇨🇦 CANADA	39	82.1%	0.26
69	R.Jeng	🇺🇸 USA2	61	82.0%	0.23
70	M.Litterst	🇩🇪 GERMANY	61	82.0%	0.25
71	P.Pabst	🇩🇪 GERMANY	54	81.5%	0.20
72	D.Li	🇨🇦 CANADA	43	81.4%	0.21
73	S.Farwig	🇩🇪 GERMANY	43	81.4%	0.26
74	A.Sandin	🇸🇪 SWEDEN	48	81.2%	0.19
75	M.Kalayci	🇹🇷 TURKIYE	48	81.2%	0.23
76	Y.Tse	🇭🇰 HONG KONG CHINA	32	81.2%	0.25
77	S.Wright	🇦🇺 AUSTRALIA	53	81.1%	0.21
78	ACHARYA SHUBHAM	🇮🇳 INDIA	42	81.0%	0.19
79	G.Donati	🇮🇹 ITALY	58	81.0%	0.21
80	B.Kristensen	🇺🇸 USA1	58	81.0%	0.21
81	B.Etchepareborda	🇦🇷 ARGENTINA	47	80.9%	0.19
82	I.Baniri	🇮🇱 ISRAEL	57	80.7%	0.26
83	C.Gulez	🇹🇷 TURKIYE	36	80.6%	0.22
84	N.Tabata	🇫🇷 FRANCE	41	80.5%	0.24
85	S.Gu	🇨🇳 CHINA	51	80.4%	0.22
86	R.Zvorovski	🇪🇪 ESTONIA	46	80.4%	0.22
87	H.Kuscu	🇹🇷 TURKIYE	40	80.0%	0.20
88	J.Tomlin	🇦🇺 AUSTRALIA	50	80.0%	0.20
89	R.Maide	🇪🇪 ESTONIA	40	80.0%	0.20
90	M.Eker	🇹🇷 TURKIYE	35	80.0%	0.26
91	K.Cichy	🇵🇱 POLAND	54	79.6%	0.20
92	S.Jesse	🇩🇪 GERMANY	44	79.5%	0.27
93	B.Krawczyk	🇵🇱 POLAND	44	79.5%	0.32
94	H.Hjorth Warlenius	🇸🇪 SWEDEN	34	79.4%	0.23
95	J.Freeman	🇨🇦 CANADA	53	79.2%	0.23
96	C.Mann	🇸🇪 SWEDEN	47	78.7%	0.26
97	P.Skordas	🇬🇷 GREECE	55	78.2%	0.29
98	P.Nicholls	🇧🇧 BARBADOS	67	77.6%	0.25
99	X.Lin	🇹🇼 CHINESE TAIPEI	40	77.5%	0.33
100	D.Winter	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	62	77.4%	0.23
101	D.Kapiris	🇬🇷 GREECE	53	77.4%	0.24
102	E.Hansson	🇸🇪 SWEDEN	44	77.3%	0.25
103	H.Madden	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	39	76.9%	0.26
104	D.Flicker	🇦🇺 AUSTRALIA	56	76.8%	0.29
105	L.Sanderson	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	43	76.7%	0.33
106	C.Hui	🇭🇰 HONG KONG CHINA	51	76.5%	0.29
107	X.Teo	🇸🇬 SINGAPORE	59	76.3%	0.29
108	R.Lorde	🇧🇧 BARBADOS	75	76.0%	0.28
109	E.Kolesnik	🇺🇸 USA1	33	75.8%	0.36
110	O.Toledano	🇮🇱 ISRAEL	45	75.6%	0.24
111	J.Parsons	🇧🇧 BARBADOS	76	75.0%	0.28
112	Y.Lin	🇹🇼 CHINESE TAIPEI	44	75.0%	0.29
113	F.Nishita	🇯🇵 JAPAN	51	74.5%	0.28
114	G.Giubilo	🇮🇹 ITALY	43	74.4%	0.26
115	C.Feintuch	🇦🇷 ARGENTINA	43	74.4%	0.30
116	B.Jiang	🇨🇳 CHINA	58	74.1%	0.29
117	B.Xiao	🇺🇸 USA2	54	74.1%	0.30
118	K.Rosenberg	🇺🇸 USA1	46	73.9%	0.26
119	T.Kielbasa	🇵🇱 POLAND	42	73.8%	0.26
120	N.Yamamoto	🇯🇵 JAPAN	61	73.8%	0.34
121	J.Kaasik	🇪🇪 ESTONIA	53	73.6%	0.32
122	Y.Wen	🇨🇳 CHINA	52	73.1%	0.35
123	Z.Li	🇨🇳 CHINA	37	73.0%	0.27
124	R.Piirisild	🇪🇪 ESTONIA	48	72.9%	0.38
125	I.Papaspyrou	🇬🇷 GREECE	14	71.4%	0.43
126	A.Gaiotti	🇮🇹 ITALY	38	71.1%	0.29
127	R.Toom	🇪🇪 ESTONIA	44	70.5%	0.34
128	M.Fragola	🇫🇷 FRANCE	53	67.9%	0.40
129	H.Yonekura	🇯🇵 JAPAN	31	67.7%	0.35
130	S.Clementsson	🇸🇪 SWEDEN	46	67.4%	0.41
131	E.Edwards	🇧🇧 BARBADOS	82	64.6%	0.40
132	Y.Caris	🇳🇱 NETHERLANDS	25	64.0%	0.44
133	N.Khutorsky	🇮🇱 ISRAEL	46	63.0%	0.37
134	K.Chang	🇹🇼 CHINESE TAIPEI	42	61.9%	0.45
135	H.Gao	🇸🇬 SINGAPORE	20	85.0%	0.15
136	Y.Chung	🇭🇰 HONG KONG CHINA	27	81.5%	0.22
137	N.Xu	🇸🇬 SINGAPORE	14	71.4%	0.29

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	N.Apteker	🇺🇸 USA1	29	93.1%	0.07
2	O.Laufer	🇨🇦 CANADA	47	89.4%	0.17
3	T.Wu	🇸🇬 SINGAPORE	63	87.3%	0.14
4	F.Doermer	🇩🇪 GERMANY	39	87.2%	0.18
5	F.Kolesnik	🇺🇸 USA1	62	87.1%	0.14
6	O.Toledano	🇮🇱 ISRAEL	66	86.4%	0.15
7	S.Thorpe	🇳🇱 NETHERLANDS	36	86.1%	0.28
8	ACHARYA SHUBHAM	🇮🇳 INDIA	63	85.7%	0.21
9	C.Duffie	🇺🇸 USA2	61	85.2%	0.21
10	J.Freeman	🇨🇦 CANADA	67	85.1%	0.19
11	K.Cichy	🇵🇱 POLAND	52	84.6%	0.21
12	C.Mann	🇸🇪 SWEDEN	63	84.1%	0.17
13	C.Yang	🇹🇼 CHINESE TAIPEI	50	84.0%	0.24
14	G.Giubilo	🇮🇹 ITALY	37	83.8%	0.24
15	L.Bonin	🇫🇷 FRANCE	49	83.7%	0.18
16	G.Donati	🇮🇹 ITALY	60	83.3%	0.22
17	I.Bilusic	🇭🇷 CROATIA	77	83.1%	0.21
18	A.Zamir	🇮🇱 ISRAEL	53	83.0%	0.19
19	F.Chen	🇹🇼 CHINESE TAIPEI	69	82.6%	0.22
20	T.Sari	🇹🇷 TURKIYE	40	82.5%	0.20
21	Y.Liao	🇨🇳 CHINA	17	82.4%	0.23
22	A.Sandin	🇸🇪 SWEDEN	62	82.3%	0.19
23	K.Baliram Gurjar	🇮🇳 INDIA	45	82.2%	0.24
24	K.Kopka	🇵🇱 POLAND	39	82.1%	0.20
25	V.Patel	🇮🇳 INDIA	28	82.1%	0.21
26	J.Bazyluk	🇵🇱 POLAND	39	82.1%	0.26
27	B.Yang	🇸🇬 SINGAPORE	50	82.0%	0.18
28	T.Guichet	🇫🇷 FRANCE	50	82.0%	0.28
29	T.Kielbasa	🇵🇱 POLAND	44	81.8%	0.20
30	E.Kolesnik	🇺🇸 USA1	33	81.8%	0.21
31	B.Etchepareborda	🇦🇷 ARGENTINA	33	81.8%	0.27
32	N.Khutorsky	🇮🇱 ISRAEL	38	81.6%	0.18
33	S.Scata	🇮🇹 ITALY	48	81.2%	0.19
34	E.Evacic	🇭🇷 CROATIA	74	81.1%	0.22
35	S.Gu	🇨🇳 CHINA	53	81.1%	0.24
36	M.Nakamuta	🇯🇵 JAPAN	42	81.0%	0.24
37	X.Lin	🇹🇼 CHINESE TAIPEI	36	80.6%	0.22
38	P.Skordas	🇬🇷 GREECE	67	80.6%	0.22
39	I.Papaspyrou	🇬🇷 GREECE	46	80.4%	0.22
40	V.Leskovar	🇭🇷 CROATIA	61	80.3%	0.25
41	J.Clark	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	45	80.0%	0.20
42	I.Lichtenstein	🇸🇪 SWEDEN	35	80.0%	0.23
43	Z.Grossack	🇺🇸 USA1	59	79.7%	0.24
44	F.Porta	🇮🇹 ITALY	54	79.6%	0.26
45	B.Jiang	🇨🇳 CHINA	58	79.3%	0.29
46	P.Dupont	🇳🇱 NETHERLANDS	42	78.6%	0.21
47	W.Cheung	🇭🇰 HONG KONG CHINA	56	78.6%	0.21
48	R.Jeng	🇺🇸 USA2	65	78.5%	0.34
49	R.Piirisild	🇪🇪 ESTONIA	46	78.3%	0.26
50	A.Lin	🇺🇸 USA2	55	78.2%	0.27
51	G.Giubilo	🇮🇹 ITALY	32	78.1%	0.28
52	L.Sanderson	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	50	78.0%	0.28
53	S.Semberoiz	🇦🇷 ARGENTINA	45	77.8%	0.31
54	L.Lee	🇸🇬 SINGAPORE	53	77.4%	0.26
55	Y.Caris	🇳🇱 NETHERLANDS	44	77.3%	0.27
56	M.Ferenca	🇭🇷 CROATIA	70	77.1%	0.27
57	V.Lamoureux	🇨🇦 CANADA	48	77.1%	0.27
58	N.Tabata	🇫🇷 FRANCE	48	77.1%	0.31
59	K.Rosenberg	🇺🇸 USA1	52	76.9%	0.27
60	D.Gue	🇦🇺 AUSTRALIA	43	76.7%	0.33
61	R.Maide	🇪🇪 ESTONIA	51	76.5%	0.28
62	B.Krawczyk	🇵🇱 POLAND	38	76.3%	0.26
63	L.Vornkahl	🇩🇪 GERMANY	42	76.2%	0.29
64	R.Nunez	🇦🇷 ARGENTINA	42	76.2%	0.29
65	I.Pollatou	🇬🇷 GREECE	29	75.9%	0.34
66	M.Kalayci	🇹🇷 TURKIYE	62	75.8%	0.39
67	J.Tomlin	🇦🇺 AUSTRALIA	45	75.6%	0.29
68	A.Zeitak	🇮🇱 ISRAEL	41	75.6%	0.29
69	M.Soumplis	🇬🇷 GREECE	49	75.5%	0.33
70	H.Coban	🇹🇷 TURKIYE	53	75.5%	0.36
71	M.Litterst	🇩🇪 GERMANY	52	75.0%	0.31
72	B.Miao	🇨🇳 CHINA	44	75.0%	0.32
73	C.Gulez	🇹🇷 TURKIYE	44	75.0%	0.34
74	C.Feintuch	🇦🇷 ARGENTINA	48	75.0%	0.38
75	F.Guerra	🇦🇷 ARGENTINA	55	74.5%	0.34
76	H.Kuscu	🇹🇷 TURKIYE	39	74.4%	0.26
77	H.Madden	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	43	74.4%	0.30
78	T.Loonstein	🇮🇱 ISRAEL	39	74.4%	0.31
79	D.Winter	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	43	74.4%	0.33
80	S.Sarkar	🇮🇳 INDIA	66	74.2%	0.32
81	M.Zhao	🇨🇦 CANADA	31	74.2%	0.42
82	L.Chan	🇭🇰 HONG KONG CHINA	54	74.1%	0.35
83	S.Clementsson	🇸🇪 SWEDEN	46	73.9%	0.35
84	Q.Wan	🇺🇸 USA2	42	73.8%	0.29
85	M.Eker	🇹🇷 TURKIYE	53	73.6%	0.28
86	P.Pabst	🇩🇪 GERMANY	45	73.3%	0.36
87	N.Yamamoto	🇯🇵 JAPAN	52	73.1%	0.29
88	A.Prakash	🇮🇳 INDIA	52	73.1%	0.33
89	S.Anoyrkatis	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	52	73.1%	0.33
90	A.Boulin	🇫🇷 FRANCE	37	73.0%	0.35
91	F.Kritsalis	🇬🇷 GREECE	59	72.9%	0.34
92	X.Teo	🇸🇬 SINGAPORE	70	72.9%	0.36
93	D.Kapiris	🇬🇷 GREECE	40	72.5%	0.30
94	R.Luhaorg	🇪🇪 ESTONIA	51	72.5%	0.39
95	H.Yonekura	🇯🇵 JAPAN	36	72.2%	0.36
96	M.Fragola	🇫🇷 FRANCE	50	72.0%	0.42
97	S.Farwig	🇩🇪 GERMANY	39	71.8%	0.28
98	T.Popowsky	🇦🇷 ARGENTINA	42	71.4%	0.33
99	T.Libman	🇦🇺 AUSTRALIA	56	71.4%	0.38
100	M.Kedzierski	🇵🇱 POLAND	59	71.2%	0.39
101	W.Ye	🇹🇼 CHINESE TAIPEI	45	71.1%	0.33
102	Y.Tse	🇭🇰 HONG KONG CHINA	31	71.0%	0.32
103	B.Kristensen	🇺🇸 USA1	48	70.8%	0.33
104	Y.Song	🇯🇵 JAPAN	41	70.7%	0.41
105	B.Xiao	🇺🇸 USA2	61	70.5%	0.38
106	J.Kaasik	🇪🇪 ESTONIA	47	70.2%	0.34
107	C.Havens	🇨🇦 CANADA	40	70.0%	0.42
108	A.Hutton	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	43	69.8%	0.37
109	C.Hui	🇭🇰 HONG KONG CHINA	53	69.8%	0.47
110	Z.Li	🇨🇳 CHINA	33	69.7%	0.46
111	S.Jesse	🇩🇪 GERMANY	46	69.6%	0.33
112	I.Baniri	🇮🇱 ISRAEL	42	69.0%	0.31
113	F.Nishita	🇯🇵 JAPAN	47	68.1%	0.38
114	S.Van Oosten	🇳🇱 NETHERLANDS	47	68.1%	0.47
115	Y.Wen	🇨🇳 CHINA	59	67.8%	0.46
116	E.Hansson	🇸🇪 SWEDEN	62	67.7%	0.35
117	S.Basu	🇮🇳 INDIA	40	67.5%	0.40
118	Y.Poon	🇭🇰 HONG KONG CHINA	70	67.1%	0.47
119	Y.Lin	🇹🇼 CHINESE TAIPEI	39	66.7%	0.46
120	H.Hjorth Warlenius	🇸🇪 SWEDEN	24	66.7%	0.50
121	R.Zvorovski	🇪🇪 ESTONIA	50	66.0%	0.42
122	S.Langdon-Macmillan	🇦🇺 AUSTRALIA	53	64.2%	0.60
123	R.Kondo	🇯🇵 JAPAN	30	63.3%	0.40
124	K.Chang	🇹🇼 CHINESE TAIPEI	38	63.2%	0.47
125	R.Toom	🇪🇪 ESTONIA	40	62.5%	0.53
126	E.Edwards	🇧🇧 BARBADOS	77	61.0%	0.58
127	R.Lorde	🇧🇧 BARBADOS	70	60.0%	0.56
128	A.Gaiotti	🇮🇹 ITALY	42	59.5%	0.50
129	P.Nicholls	🇧🇧 BARBADOS	63	58.7%	0.57
130	D.Flicker	🇦🇺 AUSTRALIA	31	54.8%	0.61
131	T.Guillemin	🇫🇷 FRANCE	35	54.3%	0.54
132	D.Li	🇨🇦 CANADA	45	53.3%	0.53
133	S.Wright	🇦🇺 AUSTRALIA	40	52.5%	0.65
134	J.Parsons	🇧🇧 BARBADOS	41	34.1%	1.10
135	H.Gao	🇸🇬 SINGAPORE	22	86.4%	0.14
136	N.Xu	🇸🇬 SINGAPORE	15	80.0%	0.20
137	Y.Chung	🇭🇰 HONG KONG CHINA	23	65.2%	0.48

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	O.Toledano	🇮🇱 ISRAEL	85	90.6%	0.13
2	A.Zamir	🇮🇱 ISRAEL	85	90.6%	0.13
3	C.Havens	🇨🇦 CANADA	80	90.0%	0.11
4	B.Jiang	🇨🇳 CHINA	110	90.0%	0.13
5	Y.Wen	🇨🇳 CHINA	110	90.0%	0.13
6	N.Khutorsky	🇮🇱 ISRAEL	89	89.9%	0.10
7	A.Zeitak	🇮🇱 ISRAEL	89	89.9%	0.10
8	I.Baniri	🇮🇱 ISRAEL	99	89.9%	0.12
9	T.Loonstein	🇮🇱 ISRAEL	99	89.9%	0.12
10	S.Thorpe	🇳🇱 NETHERLANDS	97	89.7%	0.15
11	S.Van Oosten	🇳🇱 NETHERLANDS	97	89.7%	0.15
12	Z.Grossack	🇺🇸 USA1	95	89.5%	0.13
13	F.Kolesnik	🇺🇸 USA1	95	89.5%	0.13
14	M.Kedzierski	🇵🇱 POLAND	94	89.4%	0.12
15	B.Krawczyk	🇵🇱 POLAND	94	89.4%	0.12
16	D.Gue	🇦🇺 AUSTRALIA	104	89.4%	0.15
17	J.Tomlin	🇦🇺 AUSTRALIA	104	89.4%	0.15
18	G.Donati	🇮🇹 ITALY	119	89.1%	0.13
19	M.Zhao	🇨🇦 CANADA	80	88.8%	0.12
20	S.Gu	🇨🇳 CHINA	105	88.6%	0.14
21	B.Miao	🇨🇳 CHINA	105	88.6%	0.14
22	B.Kristensen	🇺🇸 USA1	104	88.5%	0.14
23	K.Rosenberg	🇺🇸 USA1	104	88.5%	0.14
24	P.Pabst	🇩🇪 GERMANY	118	88.1%	0.14
25	F.Porta	🇮🇹 ITALY	109	88.1%	0.14
26	B.Xiao	🇺🇸 USA2	111	87.4%	0.14
27	M.Litterst	🇩🇪 GERMANY	111	87.4%	0.14
28	F.Doermer	🇩🇪 GERMANY	78	87.2%	0.14
29	S.Farwig	🇩🇪 GERMANY	78	87.2%	0.14
30	J.Bazyluk	🇵🇱 POLAND	85	87.1%	0.15
31	T.Kielbasa	🇵🇱 POLAND	85	87.1%	0.15
32	M.Nakamuta	🇯🇵 JAPAN	103	86.4%	0.15
33	F.Nishita	🇯🇵 JAPAN	103	86.4%	0.15
34	H.Coban	🇹🇷 TURKIYE	101	86.1%	0.18
35	M.Kalayci	🇹🇷 TURKIYE	101	86.1%	0.18
36	A.Boulin	🇫🇷 FRANCE	106	85.8%	0.15
37	T.Guillemin	🇫🇷 FRANCE	106	85.8%	0.15
38	B.Etchepareborda	🇦🇷 ARGENTINA	91	85.7%	0.15
39	F.Guerra	🇦🇷 ARGENTINA	91	85.7%	0.15
40	ACHARYA SHUBHAM	🇮🇳 INDIA	77	85.7%	0.16
41	A.Prakash	🇮🇳 INDIA	77	85.7%	0.16
42	Y.Caris	🇳🇱 NETHERLANDS	70	85.7%	0.16
43	P.Dupont	🇳🇱 NETHERLANDS	70	85.7%	0.16
44	S.Clementsson	🇸🇪 SWEDEN	94	85.1%	0.19
45	A.Sandin	🇸🇪 SWEDEN	94	85.1%	0.19
46	K.Cichy	🇵🇱 POLAND	100	85.0%	0.16
47	K.Kopka	🇵🇱 POLAND	100	85.0%	0.16
48	F.Kritsalis	🇬🇷 GREECE	113	85.0%	0.20
49	P.Skordas	🇬🇷 GREECE	113	85.0%	0.20
50	X.Teo	🇸🇬 SINGAPORE	119	84.9%	0.16
51	T.Wu	🇸🇬 SINGAPORE	119	84.9%	0.16
52	R.Jeng	🇺🇸 USA2	117	84.6%	0.17
53	J.Clark	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	78	84.6%	0.26
54	H.Madden	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	78	84.6%	0.26
55	I.Papaspyrou	🇬🇷 GREECE	45	84.4%	0.20
56	I.Pollatou	🇬🇷 GREECE	45	84.4%	0.20
57	R.Luhaorg	🇪🇪 ESTONIA	83	84.3%	0.18
58	R.Piirisild	🇪🇪 ESTONIA	83	84.3%	0.18
59	S.Scata	🇮🇹 ITALY	82	84.1%	0.18
60	A.Lin	🇺🇸 USA2	107	84.1%	0.19
61	L.Vornkahl	🇩🇪 GERMANY	99	83.8%	0.22
62	R.Kondo	🇯🇵 JAPAN	78	83.3%	0.18
63	H.Yonekura	🇯🇵 JAPAN	78	83.3%	0.18
64	S.Jesse	🇩🇪 GERMANY	92	82.6%	0.24
65	I.Bilusic	🇭🇷 CROATIA	125	82.4%	0.21
66	E.Evacic	🇭🇷 CROATIA	125	82.4%	0.21
67	E.Hansson	🇸🇪 SWEDEN	91	82.4%	0.22
68	C.Mann	🇸🇪 SWEDEN	91	82.4%	0.22
69	L.Lee	🇸🇬 SINGAPORE	124	82.3%	0.21
70	B.Yang	🇸🇬 SINGAPORE	124	82.3%	0.21
71	Q.Wan	🇺🇸 USA2	96	82.3%	0.23
72	M.Ferenca	🇭🇷 CROATIA	145	82.1%	0.21
73	V.Leskovar	🇭🇷 CROATIA	145	82.1%	0.21
74	Y.Song	🇯🇵 JAPAN	122	82.0%	0.22
75	N.Yamamoto	🇯🇵 JAPAN	122	82.0%	0.22
76	A.Gaiotti	🇮🇹 ITALY	72	81.9%	0.21
77	K.Baliram Gurjar	🇮🇳 INDIA	94	81.9%	0.26
78	V.Patel	🇮🇳 INDIA	94	81.9%	0.26
79	S.Anoyrkatis	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	109	81.7%	0.22
80	D.Winter	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	109	81.7%	0.22
81	O.Laufer	🇨🇦 CANADA	86	81.4%	0.23
82	N.Apteker	🇺🇸 USA1	70	81.4%	0.24
83	E.Kolesnik	🇺🇸 USA1	70	81.4%	0.24
84	L.Chan	🇭🇰 HONG KONG CHINA	94	80.9%	0.22
85	W.Cheung	🇭🇰 HONG KONG CHINA	94	80.9%	0.22
86	D.Li	🇨🇦 CANADA	89	80.9%	0.24
87	A.Hutton	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	87	80.5%	0.21
88	L.Sanderson	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	87	80.5%	0.21
89	G.Giubilo	🇮🇹 ITALY	87	80.5%	0.25
90	G.Giubilo	🇮🇹 ITALY	87	80.5%	0.25
91	M.Eker	🇹🇷 TURKIYE	71	80.3%	0.27
92	C.Gulez	🇹🇷 TURKIYE	71	80.3%	0.27
93	Z.Li	🇨🇳 CHINA	70	80.0%	0.27
94	Y.Liao	🇨🇳 CHINA	70	80.0%	0.27
95	D.Kapiris	🇬🇷 GREECE	102	79.4%	0.24
96	M.Soumplis	🇬🇷 GREECE	102	79.4%	0.24
97	K.Chang	🇹🇼 CHINESE TAIPEI	82	79.3%	0.27
98	X.Lin	🇹🇼 CHINESE TAIPEI	82	79.3%	0.27
99	L.Bonin	🇫🇷 FRANCE	81	79.0%	0.22
100	T.Guichet	🇫🇷 FRANCE	81	79.0%	0.22
101	R.Toom	🇪🇪 ESTONIA	90	78.9%	0.21
102	R.Zvorovski	🇪🇪 ESTONIA	90	78.9%	0.21
103	S.Langdon-Macmillan	🇦🇺 AUSTRALIA	71	78.9%	0.25
104	T.Libman	🇦🇺 AUSTRALIA	71	78.9%	0.25
105	J.Freeman	🇨🇦 CANADA	108	78.7%	0.23
106	H.Kuscu	🇹🇷 TURKIYE	89	78.7%	0.28
107	T.Sari	🇹🇷 TURKIYE	89	78.7%	0.28
108	S.Basu	🇮🇳 INDIA	84	78.6%	0.27
109	S.Sarkar	🇮🇳 INDIA	84	78.6%	0.27
110	C.Duffie	🇺🇸 USA2	101	78.2%	0.26
111	H.Hjorth Warlenius	🇸🇪 SWEDEN	73	78.1%	0.23
112	I.Lichtenstein	🇸🇪 SWEDEN	73	78.1%	0.23
113	V.Lamoureux	🇨🇦 CANADA	105	78.1%	0.24
114	C.Feintuch	🇦🇷 ARGENTINA	90	77.8%	0.29
115	T.Popowsky	🇦🇷 ARGENTINA	90	77.8%	0.29
116	M.Fragola	🇫🇷 FRANCE	94	76.6%	0.28
117	N.Tabata	🇫🇷 FRANCE	94	76.6%	0.28
118	F.Chen	🇹🇼 CHINESE TAIPEI	82	75.6%	0.32
119	C.Yang	🇹🇼 CHINESE TAIPEI	82	75.6%	0.32
120	Y.Lin	🇹🇼 CHINESE TAIPEI	108	75.0%	0.27
121	W.Ye	🇹🇼 CHINESE TAIPEI	108	75.0%	0.27
122	J.Kaasik	🇪🇪 ESTONIA	93	74.2%	0.32
123	R.Maide	🇪🇪 ESTONIA	93	74.2%	0.32
124	Y.Tse	🇭🇰 HONG KONG CHINA	62	74.2%	0.32
125	C.Hui	🇭🇰 HONG KONG CHINA	109	72.5%	0.34
126	R.Lorde	🇧🇧 BARBADOS	142	71.8%	0.32
127	P.Nicholls	🇧🇧 BARBADOS	142	71.8%	0.32
128	Y.Poon	🇭🇰 HONG KONG CHINA	113	71.7%	0.34
129	D.Flicker	🇦🇺 AUSTRALIA	109	71.6%	0.30
130	S.Wright	🇦🇺 AUSTRALIA	109	71.6%	0.30
131	R.Nunez	🇦🇷 ARGENTINA	104	71.2%	0.38
132	S.Semberoiz	🇦🇷 ARGENTINA	104	71.2%	0.38
133	E.Edwards	🇧🇧 BARBADOS	158	64.6%	0.48
134	J.Parsons	🇧🇧 BARBADOS	158	64.6%	0.48
135	H.Gao	🇸🇬 SINGAPORE	34	79.4%	0.21
136	N.Xu	🇸🇬 SINGAPORE	34	79.4%	0.21
137	Y.Chung	🇭🇰 HONG KONG CHINA	58	75.9%	0.31

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	O.Toledano	🇮🇱 ISRAEL	543	292	53.8%
2	F.Chen	🇹🇼 CHINESE TAIPEI	574	304	53.0%
3	T.Libman	🇦🇺 AUSTRALIA	466	245	52.6%
4	S.Scata	🇮🇹 ITALY	515	267	51.8%
5	I.Bilusic	🇭🇷 CROATIA	729	375	51.4%
6	E.Evacic	🇭🇷 CROATIA	726	367	50.6%
7	A.Prakash	🇮🇳 INDIA	547	275	50.3%
8	I.Papaspyrou	🇬🇷 GREECE	333	167	50.2%
9	M.Eker	🇹🇷 TURKIYE	465	233	50.1%
10	ACHARYA SHUBHAM	🇮🇳 INDIA	535	264	49.3%
11	A.Gaiotti	🇮🇹 ITALY	458	226	49.3%
12	W.Cheung	🇭🇰 HONG KONG CHINA	589	289	49.1%
13	M.Kedzierski	🇵🇱 POLAND	564	277	49.1%
14	S.Sarkar	🇮🇳 INDIA	544	267	49.1%
15	S.Langdon-Macmillan	🇦🇺 AUSTRALIA	479	235	49.1%
16	R.Piirisild	🇪🇪 ESTONIA	498	242	48.6%
17	C.Mann	🇸🇪 SWEDEN	639	310	48.5%
18	Z.Grossack	🇺🇸 USA1	618	300	48.5%
19	C.Hui	🇭🇰 HONG KONG CHINA	623	300	48.2%
20	A.Zamir	🇮🇱 ISRAEL	547	263	48.1%
21	J.Kaasik	🇪🇪 ESTONIA	520	250	48.1%
22	Y.Caris	🇳🇱 NETHERLANDS	438	210	47.9%
23	Y.Poon	🇭🇰 HONG KONG CHINA	659	311	47.2%
24	C.Duffie	🇺🇸 USA2	627	294	46.9%
25	A.Sandin	🇸🇪 SWEDEN	582	271	46.6%
26	J.Clark	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	451	210	46.6%
27	P.Skordas	🇬🇷 GREECE	680	316	46.5%
28	J.Bazyluk	🇵🇱 POLAND	467	217	46.5%
29	S.Clementsson	🇸🇪 SWEDEN	584	271	46.4%
30	R.Luhaorg	🇪🇪 ESTONIA	504	234	46.4%
31	L.Chan	🇭🇰 HONG KONG CHINA	589	273	46.3%
32	T.Guichet	🇫🇷 FRANCE	497	230	46.3%
33	V.Leskovar	🇭🇷 CROATIA	751	346	46.1%
34	B.Jiang	🇨🇳 CHINA	653	301	46.1%
35	M.Fragola	🇫🇷 FRANCE	536	247	46.1%
36	B.Krawczyk	🇵🇱 POLAND	568	261	46.0%
37	P.Dupont	🇳🇱 NETHERLANDS	435	200	46.0%
38	L.Bonin	🇫🇷 FRANCE	492	226	45.9%
39	F.Kolesnik	🇺🇸 USA1	627	286	45.6%
40	C.Gulez	🇹🇷 TURKIYE	476	217	45.6%
41	C.Yang	🇹🇼 CHINESE TAIPEI	578	263	45.5%
42	G.Donati	🇮🇹 ITALY	692	314	45.4%
43	B.Kristensen	🇺🇸 USA1	570	259	45.4%
44	N.Tabata	🇫🇷 FRANCE	539	244	45.3%
45	B.Miao	🇨🇳 CHINA	595	269	45.2%
46	S.Gu	🇨🇳 CHINA	586	265	45.2%
47	K.Rosenberg	🇺🇸 USA1	568	257	45.2%
48	S.Jesse	🇩🇪 GERMANY	522	236	45.2%
49	H.Madden	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	460	208	45.2%
50	X.Teo	🇸🇬 SINGAPORE	700	316	45.1%
51	F.Kritsalis	🇬🇷 GREECE	680	306	45.0%
52	R.Maide	🇪🇪 ESTONIA	515	232	45.0%
53	T.Popowsky	🇦🇷 ARGENTINA	515	232	45.0%
54	R.Toom	🇪🇪 ESTONIA	509	229	45.0%
55	J.Freeman	🇨🇦 CANADA	630	282	44.8%
56	C.Feintuch	🇦🇷 ARGENTINA	516	230	44.6%
57	E.Hansson	🇸🇪 SWEDEN	640	285	44.5%
58	E.Kolesnik	🇺🇸 USA1	373	166	44.5%
59	Y.Wen	🇨🇳 CHINA	651	289	44.4%
60	F.Porta	🇮🇹 ITALY	626	278	44.4%
61	Q.Wan	🇺🇸 USA2	547	243	44.4%
62	H.Coban	🇹🇷 TURKIYE	602	266	44.2%
63	N.Apteker	🇺🇸 USA1	378	167	44.2%
64	I.Pollatou	🇬🇷 GREECE	340	150	44.1%
65	R.Zvorovski	🇪🇪 ESTONIA	513	225	43.9%
66	T.Sari	🇹🇷 TURKIYE	482	210	43.6%
67	T.Kielbasa	🇵🇱 POLAND	466	203	43.6%
68	M.Kalayci	🇹🇷 TURKIYE	607	264	43.5%
69	F.Doermer	🇩🇪 GERMANY	439	191	43.5%
70	M.Ferenca	🇭🇷 CROATIA	755	328	43.4%
71	V.Lamoureux	🇨🇦 CANADA	601	259	43.1%
72	I.Baniri	🇮🇱 ISRAEL	502	216	43.0%
73	C.Havens	🇨🇦 CANADA	419	180	43.0%
74	B.Xiao	🇺🇸 USA2	700	300	42.9%
75	O.Laufer	🇨🇦 CANADA	506	217	42.9%
76	D.Li	🇨🇦 CANADA	506	217	42.9%
77	H.Kuscu	🇹🇷 TURKIYE	480	206	42.9%
78	A.Hutton	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	509	217	42.6%
79	L.Sanderson	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	500	213	42.6%
80	A.Zeitak	🇮🇱 ISRAEL	448	189	42.2%
81	S.Anoyrkatis	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	580	244	42.1%
82	R.Jeng	🇺🇸 USA2	704	296	42.0%
83	Z.Li	🇨🇳 CHINA	348	146	42.0%
84	T.Wu	🇸🇬 SINGAPORE	713	298	41.8%
85	S.Thorpe	🇳🇱 NETHERLANDS	498	208	41.8%
86	M.Litterst	🇩🇪 GERMANY	545	227	41.7%
87	S.Farwig	🇩🇪 GERMANY	445	185	41.6%
88	X.Lin	🇹🇼 CHINESE TAIPEI	428	178	41.6%
89	L.Vornkahl	🇩🇪 GERMANY	552	229	41.5%
90	A.Lin	🇺🇸 USA2	614	254	41.4%
91	Y.Tse	🇭🇰 HONG KONG CHINA	345	143	41.4%
92	B.Yang	🇸🇬 SINGAPORE	648	267	41.2%
93	S.Semberoiz	🇦🇷 ARGENTINA	575	236	41.0%
94	M.Soumplis	🇬🇷 GREECE	554	226	40.8%
95	H.Yonekura	🇯🇵 JAPAN	422	172	40.8%
96	Y.Liao	🇨🇳 CHINA	344	140	40.7%
97	D.Kapiris	🇬🇷 GREECE	569	231	40.6%
98	T.Loonstein	🇮🇱 ISRAEL	507	206	40.6%
99	V.Patel	🇮🇳 INDIA	493	200	40.6%
100	K.Baliram Gurjar	🇮🇳 INDIA	488	198	40.6%
101	L.Lee	🇸🇬 SINGAPORE	645	261	40.5%
102	W.Ye	🇹🇼 CHINESE TAIPEI	517	209	40.4%
103	S.Van Oosten	🇳🇱 NETHERLANDS	497	200	40.2%
104	D.Gue	🇦🇺 AUSTRALIA	529	212	40.1%
105	H.Hjorth Warlenius	🇸🇪 SWEDEN	390	156	40.0%
106	K.Kopka	🇵🇱 POLAND	556	222	39.9%
107	K.Cichy	🇵🇱 POLAND	551	220	39.9%
108	D.Winter	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	583	232	39.8%
109	Y.Lin	🇹🇼 CHINESE TAIPEI	521	207	39.7%
110	R.Kondo	🇯🇵 JAPAN	416	165	39.7%
111	F.Guerra	🇦🇷 ARGENTINA	510	202	39.6%
112	R.Nunez	🇦🇷 ARGENTINA	579	228	39.4%
113	S.Basu	🇮🇳 INDIA	554	218	39.4%
114	K.Chang	🇹🇼 CHINESE TAIPEI	430	168	39.1%
115	B.Etchepareborda	🇦🇷 ARGENTINA	509	198	38.9%
116	M.Zhao	🇨🇦 CANADA	398	155	38.9%
117	R.Lorde	🇧🇧 BARBADOS	779	301	38.6%
118	P.Pabst	🇩🇪 GERMANY	590	228	38.6%
119	J.Tomlin	🇦🇺 AUSTRALIA	528	204	38.6%
120	Y.Song	🇯🇵 JAPAN	595	229	38.5%
121	M.Nakamuta	🇯🇵 JAPAN	540	207	38.3%
122	I.Lichtenstein	🇸🇪 SWEDEN	388	148	38.1%
123	N.Khutorsky	🇮🇱 ISRAEL	457	173	37.9%
124	S.Wright	🇦🇺 AUSTRALIA	491	183	37.3%
125	F.Nishita	🇯🇵 JAPAN	545	201	36.9%
126	T.Guillemin	🇫🇷 FRANCE	524	191	36.5%
127	N.Yamamoto	🇯🇵 JAPAN	599	213	35.6%
128	P.Nicholls	🇧🇧 BARBADOS	774	273	35.3%
129	G.Giubilo	🇮🇹 ITALY	442	156	35.3%
130	J.Parsons	🇧🇧 BARBADOS	771	271	35.1%
131	A.Boulin	🇫🇷 FRANCE	530	184	34.7%
132	D.Flicker	🇦🇺 AUSTRALIA	488	166	34.0%
133	E.Edwards	🇧🇧 BARBADOS	763	257	33.7%
134	G.Giubilo	🇮🇹 ITALY	443	144	32.5%
135	H.Gao	🇸🇬 SINGAPORE	195	100	51.3%
136	N.Xu	🇸🇬 SINGAPORE	202	92	45.5%
137	Y.Chung	🇭🇰 HONG KONG CHINA	318	112	35.2%

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	Z.Grossack	🇺🇸 USA1	204	+0.15	+0.88	+1.03	▲7
2	F.Kolesnik	🇺🇸 USA1	204	+0.15	+0.88	+1.03	▲7
3	G.Donati	🇮🇹 ITALY	240	-0.06	+0.96	+0.91	▲2
4	I.Baniri	🇮🇱 ISRAEL	180	-0.14	+1.03	+0.89	▼1
5	T.Loonstein	🇮🇱 ISRAEL	180	-0.14	+1.03	+0.89	▼1
6	S.Gu	🇨🇳 CHINA	204	+0.10	+0.79	+0.89	▲4
7	B.Miao	🇨🇳 CHINA	204	+0.10	+0.79	+0.89	▲4
8	N.Khutorsky	🇮🇱 ISRAEL	168	-0.18	+1.06	+0.88	▼7
9	A.Zeitak	🇮🇱 ISRAEL	168	-0.18	+1.06	+0.88	▼7
10	F.Porta	🇮🇹 ITALY	216	+0.07	+0.77	+0.84	▲4
11	B.Kristensen	🇺🇸 USA1	204	-0.08	+0.90	+0.82	▼5
12	K.Rosenberg	🇺🇸 USA1	204	-0.08	+0.90	+0.82	▼5
13	O.Toledano	🇮🇱 ISRAEL	192	+0.03	+0.79	+0.81	▼1
14	A.Zamir	🇮🇱 ISRAEL	192	+0.03	+0.79	+0.81	▼1
15	E.Hansson	🇸🇪 SWEDEN	204	-0.05	+0.68	+0.63	▲2
16	C.Mann	🇸🇪 SWEDEN	204	-0.05	+0.68	+0.63	▲2
17	B.Jiang	🇨🇳 CHINA	216	-0.11	+0.73	+0.62	▼2
18	Y.Wen	🇨🇳 CHINA	216	-0.11	+0.73	+0.62	▼2
19	S.Thorpe	🇳🇱 NETHERLANDS	180	+0.01	+0.47	+0.48	▲6
20	S.Van Oosten	🇳🇱 NETHERLANDS	180	+0.01	+0.47	+0.48	▲6
21	Y.Caris	🇳🇱 NETHERLANDS	156	-0.12	+0.57	+0.45	·
22	P.Dupont	🇳🇱 NETHERLANDS	156	-0.12	+0.57	+0.45	·
23	M.Kedzierski	🇵🇱 POLAND	180	+0.03	+0.39	+0.42	▲6
24	B.Krawczyk	🇵🇱 POLAND	180	+0.03	+0.39	+0.42	▲6
25	L.Lee	🇸🇬 SINGAPORE	216	+0.17	+0.24	+0.41	▲20
26	B.Yang	🇸🇬 SINGAPORE	216	+0.17	+0.24	+0.41	▲20
27	A.Boulin	🇫🇷 FRANCE	180	-0.07	+0.46	+0.40	·
28	T.Guillemin	🇫🇷 FRANCE	180	-0.07	+0.46	+0.40	·
29	F.Kritsalis	🇬🇷 GREECE	240	+0.19	+0.18	+0.38	▲26
30	P.Skordas	🇬🇷 GREECE	240	+0.19	+0.18	+0.38	▲26
31	K.Cichy	🇵🇱 POLAND	192	+0.01	+0.35	+0.36	·
32	K.Kopka	🇵🇱 POLAND	192	+0.01	+0.35	+0.36	·
33	S.Clementsson	🇸🇪 SWEDEN	204	+0.20	+0.10	+0.31	▲26
34	A.Sandin	🇸🇪 SWEDEN	204	+0.20	+0.10	+0.31	▲26
35	S.Scata	🇮🇹 ITALY	180	+0.09	+0.20	+0.29	▲16
36	J.Bazyluk	🇵🇱 POLAND	168	-0.24	+0.53	+0.29	▼13
37	T.Kielbasa	🇵🇱 POLAND	168	-0.24	+0.53	+0.29	▼13
38	Y.Lin	🇹🇼 CHINESE TAIPEI	192	+0.10	+0.19	+0.29	▲15
39	W.Ye	🇹🇼 CHINESE TAIPEI	192	+0.10	+0.19	+0.29	▲15
40	B.Xiao	🇺🇸 USA2	240	-0.04	+0.32	+0.28	▼4
41	M.Eker	🇹🇷 TURKIYE	168	+0.04	+0.23	+0.28	▲6
42	C.Gulez	🇹🇷 TURKIYE	168	+0.04	+0.23	+0.28	▲6
43	Y.Song	🇯🇵 JAPAN	204	+0.14	+0.14	+0.27	▲14
44	N.Yamamoto	🇯🇵 JAPAN	204	+0.14	+0.14	+0.27	▲14
45	D.Kapiris	🇬🇷 GREECE	180	-0.03	+0.30	+0.27	▼6
46	M.Soumplis	🇬🇷 GREECE	180	-0.03	+0.30	+0.27	▼6
47	M.Ferenca	🇭🇷 CROATIA	276	-0.02	+0.27	+0.25	▼4
48	V.Leskovar	🇭🇷 CROATIA	276	-0.02	+0.27	+0.25	▼4
49	F.Doermer	🇩🇪 GERMANY	156	-0.04	+0.27	+0.23	▼8
50	S.Farwig	🇩🇪 GERMANY	156	-0.04	+0.27	+0.23	▼8
51	L.Vornkahl	🇩🇪 GERMANY	192	+0.02	+0.20	+0.22	▲1
52	A.Lin	🇺🇸 USA2	216	-0.14	+0.33	+0.20	▼17
53	H.Kuscu	🇹🇷 TURKIYE	168	-0.04	+0.22	+0.19	▼4
54	T.Sari	🇹🇷 TURKIYE	168	-0.04	+0.22	+0.19	▼4
55	N.Apteker	🇺🇸 USA1	132	-0.48	+0.66	+0.18	▼36
56	E.Kolesnik	🇺🇸 USA1	132	-0.48	+0.66	+0.18	▼36
57	M.Fragola	🇫🇷 FRANCE	192	+0.12	+0.05	+0.17	▲13
58	N.Tabata	🇫🇷 FRANCE	192	+0.12	+0.05	+0.17	▲13
59	R.Jeng	🇺🇸 USA2	240	+0.06	+0.07	+0.13	▲4
60	S.Jesse	🇩🇪 GERMANY	180	+0.07	+0.06	+0.13	▲5
61	A.Gaiotti	🇮🇹 ITALY	156	+0.29	-0.17	+0.12	▲28
62	V.Lamoureux	🇨🇦 CANADA	204	-0.03	+0.07	+0.04	▲2
63	I.Bilusic	🇭🇷 CROATIA	264	-0.07	+0.10	+0.03	▼2
64	E.Evacic	🇭🇷 CROATIA	264	-0.07	+0.10	+0.03	▼2
65	X.Teo	🇸🇬 SINGAPORE	252	-0.03	+0.06	+0.02	▲3
66	T.Wu	🇸🇬 SINGAPORE	252	-0.03	+0.06	+0.02	▲3
67	M.Nakamuta	🇯🇵 JAPAN	192	-0.03	+0.04	+0.01	▲5
68	F.Nishita	🇯🇵 JAPAN	192	-0.03	+0.04	+0.01	▲5
69	J.Freeman	🇨🇦 CANADA	216	+0.06	-0.06	+0.00	▲15
70	H.Hjorth Warlenius	🇸🇪 SWEDEN	132	-0.33	+0.32	-0.01	▼33
71	I.Lichtenstein	🇸🇪 SWEDEN	132	-0.33	+0.32	-0.01	▼33
72	H.Coban	🇹🇷 TURKIYE	204	-0.02	-0.00	-0.02	▲4
73	M.Kalayci	🇹🇷 TURKIYE	204	-0.02	-0.00	-0.02	▲4
74	J.Clark	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	168	+0.03	-0.06	-0.03	▲8
75	H.Madden	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	168	+0.03	-0.06	-0.03	▲8
76	L.Chan	🇭🇰 HONG KONG CHINA	204	-0.04	+0.02	-0.03	▼2
77	W.Cheung	🇭🇰 HONG KONG CHINA	204	-0.04	+0.02	-0.03	▼2
78	I.Papaspyrou	🇬🇷 GREECE	120	-0.37	+0.34	-0.03	▼45
79	I.Pollatou	🇬🇷 GREECE	120	-0.37	+0.34	-0.03	▼45
80	S.Anoyrkatis	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	204	+0.18	-0.25	-0.07	▲13
81	D.Winter	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	204	+0.18	-0.25	-0.07	▲13
82	A.Hutton	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	180	-0.16	+0.06	-0.10	▼16
83	L.Sanderson	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	180	-0.16	+0.06	-0.10	▼16
84	L.Bonin	🇫🇷 FRANCE	168	-0.07	-0.05	-0.13	▼4
85	T.Guichet	🇫🇷 FRANCE	168	-0.07	-0.05	-0.13	▼4
86	C.Havens	🇨🇦 CANADA	156	-0.05	-0.11	-0.16	▼1
87	D.Flicker	🇦🇺 AUSTRALIA	180	+0.24	-0.40	-0.17	▲16
88	S.Wright	🇦🇺 AUSTRALIA	180	+0.24	-0.40	-0.17	▲16
89	P.Pabst	🇩🇪 GERMANY	216	-0.09	-0.12	-0.21	▼3
90	ACHARYA SHUBHAM	🇮🇳 INDIA	192	-0.03	-0.19	-0.22	▲1
91	A.Prakash	🇮🇳 INDIA	192	-0.03	-0.19	-0.22	▲1
92	Q.Wan	🇺🇸 USA2	192	-0.06	-0.18	-0.24	▼2
93	F.Chen	🇹🇼 CHINESE TAIPEI	204	-0.27	-0.01	-0.27	▼15
94	C.Yang	🇹🇼 CHINESE TAIPEI	204	-0.27	-0.01	-0.27	▼15
95	D.Gue	🇦🇺 AUSTRALIA	180	-0.14	-0.15	-0.28	▼8
96	J.Tomlin	🇦🇺 AUSTRALIA	180	-0.14	-0.15	-0.28	▼8
97	K.Chang	🇹🇼 CHINESE TAIPEI	156	+0.13	-0.43	-0.30	▲10
98	X.Lin	🇹🇼 CHINESE TAIPEI	156	+0.13	-0.43	-0.30	▲10
99	S.Basu	🇮🇳 INDIA	180	+0.18	-0.49	-0.31	▲10
100	S.Sarkar	🇮🇳 INDIA	180	+0.18	-0.49	-0.31	▲10
101	M.Litterst	🇩🇪 GERMANY	204	-0.06	-0.26	-0.31	▼6
102	Y.Tse	🇭🇰 HONG KONG CHINA	120	+0.27	-0.58	-0.32	▲18
103	S.Langdon-Macmillan	🇦🇺 AUSTRALIA	180	-0.04	-0.34	-0.38	▼6
104	T.Libman	🇦🇺 AUSTRALIA	180	-0.04	-0.34	-0.38	▼6
105	J.Kaasik	🇪🇪 ESTONIA	192	-0.02	-0.37	-0.39	▼4
106	R.Maide	🇪🇪 ESTONIA	192	-0.02	-0.37	-0.39	▼4
107	R.Luhaorg	🇪🇪 ESTONIA	180	+0.09	-0.50	-0.41	▲4
108	R.Piirisild	🇪🇪 ESTONIA	180	+0.09	-0.50	-0.41	▲4
109	C.Feintuch	🇦🇷 ARGENTINA	180	+0.05	-0.52	-0.47	▲6
110	T.Popowsky	🇦🇷 ARGENTINA	180	+0.05	-0.52	-0.47	▲6
111	C.Duffie	🇺🇸 USA2	216	+0.13	-0.61	-0.48	▲11
112	B.Etchepareborda	🇦🇷 ARGENTINA	168	-0.14	-0.36	-0.49	▼13
113	F.Guerra	🇦🇷 ARGENTINA	168	-0.14	-0.36	-0.49	▼13
114	K.Baliram Gurjar	🇮🇳 INDIA	168	-0.09	-0.41	-0.50	▼9
115	V.Patel	🇮🇳 INDIA	168	-0.09	-0.41	-0.50	▼9
116	M.Zhao	🇨🇦 CANADA	144	-0.22	-0.28	-0.51	▼20
117	R.Nunez	🇦🇷 ARGENTINA	192	+0.04	-0.58	-0.55	▲1
118	S.Semberoiz	🇦🇷 ARGENTINA	192	+0.04	-0.58	-0.55	▲1
119	O.Laufer	🇨🇦 CANADA	180	-0.04	-0.55	-0.58	▼2
120	Y.Poon	🇭🇰 HONG KONG CHINA	228	-0.08	-0.59	-0.67	▲1
121	R.Toom	🇪🇪 ESTONIA	180	-0.01	-0.72	-0.73	▲5
122	R.Zvorovski	🇪🇪 ESTONIA	180	-0.01	-0.72	-0.73	▲5
123	C.Hui	🇭🇰 HONG KONG CHINA	216	-0.08	-0.65	-0.73	·
124	G.Giubilo	🇮🇹 ITALY	144	-0.36	-0.50	-0.86	▼11
125	G.Giubilo	🇮🇹 ITALY	144	-0.36	-0.50	-0.86	▼11
126	Z.Li	🇨🇳 CHINA	120	-0.18	-0.69	-0.87	▼2
127	Y.Liao	🇨🇳 CHINA	120	-0.18	-0.69	-0.87	▼2
128	D.Li	🇨🇦 CANADA	180	-0.06	-0.84	-0.91	▲2
129	R.Kondo	🇯🇵 JAPAN	144	-0.32	-0.73	-1.04	▼1
130	H.Yonekura	🇯🇵 JAPAN	144	-0.32	-0.73	-1.04	▼1
131	R.Lorde	🇧🇧 BARBADOS	276	+0.07	-2.31	-2.24	·
132	P.Nicholls	🇧🇧 BARBADOS	276	+0.07	-2.31	-2.24	·
133	E.Edwards	🇧🇧 BARBADOS	264	+0.07	-2.44	-2.38	·
134	J.Parsons	🇧🇧 BARBADOS	264	+0.07	-2.44	-2.38	·

Stages

Statistics

Tables