Herning 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	S.Christiansen	🇩🇰 DENMARK	196	+1.41	+277.0
2	J.Nicolajsen	🇩🇰 DENMARK	196	+1.41	+277.0
3	B.Satyanarayana	🇮🇳 INDIA	252	+1.36	+342.0
4	J.Shivdasani	🇮🇳 INDIA	252	+1.36	+342.0
5	Z.Mahmood	🇺🇸 USA2	238	+1.17	+279.0
6	A.Sontag	🇺🇸 USA2	238	+1.17	+279.0
7	M.Kwiecien	🇵🇱 POLAND	224	+1.11	+249.0
8	W.Starkowski	🇵🇱 POLAND	224	+1.11	+249.0
9	M.Kamil	🇺🇸 USA1	238	+1.03	+244.0
10	J.Meckstroth	🇺🇸 USA1	238	+1.03	+244.0
11	D.Berkowitz	🇺🇸 USA1	238	+0.87	+208.0
12	L.Cohen	🇺🇸 USA1	238	+0.87	+208.0
13	G.Hallberg	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	182	+0.85	+155.0
14	D.Mossop	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	182	+0.85	+155.0
15	L.Van Den Brom	🇳🇱 NETHERLANDS	224	+0.75	+167.0
16	R.Chamberlain	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	224	+0.75	+167.0
17	P.Shields	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	224	+0.75	+167.0
18	A.Mulder	🇳🇱 NETHERLANDS	238	+0.71	+170.0
19	P.Chottin	🇫🇷 FRANCE	210	+0.62	+131.0
20	D.Pilon	🇫🇷 FRANCE	210	+0.62	+131.0
21	B.Levin	🇺🇸 USA2	252	+0.62	+157.0
22	E.Rodwell	🇺🇸 USA2	252	+0.62	+157.0
23	L.Palazzo	🇦🇷 ARGENTINA	210	+0.52	+110.0
24	N.Buchlev	🇩🇪 GERMANY	224	+0.51	+114.0
25	N.Schilhart	🇩🇪 GERMANY	224	+0.51	+114.0
26	M.Gustawsson	🇸🇪 SWEDEN	224	+0.42	+93.0
27	J.Sylvan	🇸🇪 SWEDEN	224	+0.42	+93.0
28	K.Feichtinger	🇦🇹 AUSTRIA	182	+0.41	+75.0
29	S.Terraneo	🇦🇹 AUSTRIA	182	+0.41	+75.0
30	W.Fornasari	🇦🇷 ARGENTINA	210	+0.40	+85.0
31	M.Lanzarotti	🇮🇹 ITALY	252	+0.38	+96.0
32	A.Mortarotti	🇮🇹 ITALY	252	+0.38	+96.0
33	T.Bergdahl	🇸🇪 SWEDEN	210	+0.38	+79.0
34	J.Ostberg	🇸🇪 SWEDEN	210	+0.38	+79.0
35	H.Lall	🇺🇸 USA2	154	+0.31	+48.0
36	R.Milner	🇺🇸 USA2	154	+0.31	+48.0
37	R.Goenka	🇮🇳 INDIA	196	+0.28	+55.0
38	S.Gupta	🇮🇳 INDIA	196	+0.28	+55.0
39	D.Schaltz	🇩🇰 DENMARK	238	+0.26	+63.0
40	P.Schaltz	🇩🇰 DENMARK	238	+0.26	+63.0
41	M.Abaza	🇪🇬 EGYPT	238	+0.25	+60.0
42	A.Zein	🇪🇬 EGYPT	238	+0.25	+60.0
43	G.Duboin	🇮🇹 ITALY	266	+0.23	+62.0
44	G.Failla	🇮🇹 ITALY	266	+0.23	+62.0
45	D.Beauchamp	🇦🇺 AUSTRALIA	238	+0.23	+55.0
46	M.Van Der Vlugt	🇦🇺 AUSTRALIA	238	+0.23	+55.0
47	M.Hirata	🇯🇵 JAPAN	210	+0.22	+46.0
48	A.Omasa	🇯🇵 JAPAN	210	+0.22	+46.0
49	H.Grosvenor	🇦🇺 AUSTRALIA	224	+0.22	+49.0
50	G.Kozakos	🇦🇺 AUSTRALIA	224	+0.22	+49.0
51	J.Kolen	🇳🇱 NETHERLANDS	224	+0.17	+39.0
52	J.Verhees	🇳🇱 NETHERLANDS	210	+0.17	+36.0
53	A.Babsch	🇦🇹 AUSTRIA	252	+0.17	+42.0
54	F.Terraneo	🇦🇹 AUSTRIA	252	+0.17	+42.0
55	B.Efraimsson	🇸🇪 SWEDEN	210	+0.16	+34.0
56	A.Morath	🇸🇪 SWEDEN	210	+0.16	+34.0
57	Y.Cheng	🇹🇼 CHINESE TAIPEI	210	+0.15	+32.0
58	H.Lin	🇹🇼 CHINESE TAIPEI	210	+0.15	+32.0
59	J.Hayet	🇲🇦 MOROCCO	252	+0.13	+33.0
60	P.Sibony	🇲🇦 MOROCCO	252	+0.13	+33.0
61	H.Klumpp	🇩🇪 GERMANY	182	+0.10	+19.0
62	R.Marsal	🇩🇪 GERMANY	182	+0.10	+19.0
63	K.Chiu	🇭🇰 HONG KONG CHINA	210	+0.10	+20.0
64	P.Yeung	🇭🇰 HONG KONG CHINA	210	+0.10	+20.0
65	M.Bompis	🇫🇷 FRANCE	224	+0.08	+18.0
66	P.Soulet	🇫🇷 FRANCE	224	+0.08	+18.0
67	Y.Liang	🇨🇳 CHINA	224	+0.03	+6.0
68	Y.Zheng	🇨🇳 CHINA	224	+0.03	+6.0
69	M.Abecassis	🇫🇷 FRANCE	210	-0.00	-1.0
70	H.Vinciguerra	🇫🇷 FRANCE	210	-0.00	-1.0
71	S.Garner	🇺🇸 USA1	168	-0.02	-3.0
72	J.Wolfson	🇺🇸 USA1	168	-0.02	-3.0
73	S.Bjerkset	🇳🇴 NORWAY	224	-0.04	-9.0
74	J.Furunes	🇳🇴 NORWAY	224	-0.04	-9.0
75	H.Berger	🇦🇹 AUSTRIA	210	-0.05	-10.0
76	P.Zelnik	🇦🇹 AUSTRIA	210	-0.05	-10.0
77	A.Farstad	🇳🇴 NORWAY	210	-0.05	-10.0
78	E.Rynning	🇳🇴 NORWAY	210	-0.05	-10.0
79	D.Jacob	🇨🇦 CANADA	280	-0.07	-19.0
80	P.Klimowicz	🇨🇦 CANADA	280	-0.07	-19.0
81	A.Kowalski	🇵🇱 POLAND	224	-0.10	-22.0
82	P.Tuszynski	🇵🇱 POLAND	224	-0.10	-22.0
83	J.Atkinson	🇳🇿 NEW ZEALAND	224	-0.12	-28.0
84	P.Carter	🇳🇿 NEW ZEALAND	224	-0.12	-28.0
85	P.Bizon	🇵🇱 POLAND	196	-0.14	-28.0
86	M.Blat	🇵🇱 POLAND	196	-0.14	-28.0
87	M.Hussain Atm	🇧🇩 BANGLADESH	280	-0.17	-48.0
88	R.Geller	🇯🇵 JAPAN	224	-0.23	-52.0
89	M.Ino	🇯🇵 JAPAN	224	-0.23	-52.0
90	J.Weng	🇨🇳 CHINA	210	-0.23	-49.0
91	S.Zhou	🇨🇳 CHINA	210	-0.23	-49.0
92	R.Ling	🇭🇰 HONG KONG CHINA	238	-0.26	-62.0
93	S.Wan	🇭🇰 HONG KONG CHINA	238	-0.26	-62.0
94	M.Lorber	🇨🇦 CANADA	266	-0.29	-76.0
95	Z.Marcinski	🇨🇦 CANADA	266	-0.29	-76.0
96	C.Lucena	🇦🇷 ARGENTINA	224	-0.29	-66.0
97	G.Cohner	🇩🇪 GERMANY	238	-0.35	-84.0
98	C.Daehr	🇩🇪 GERMANY	238	-0.35	-84.0
99	A.Azzam	🇪🇬 EGYPT	224	-0.37	-83.0
100	M.El Baz	🇪🇬 EGYPT	224	-0.37	-83.0
101	A.Belkouch	🇲🇦 MOROCCO	210	-0.40	-83.0
102	G.Cambournac	🇲🇦 MOROCCO	210	-0.40	-83.0
103	H.Camberos	🇦🇷 ARGENTINA	224	-0.42	-93.0
104	J.Rueda	🇦🇷 ARGENTINA	224	-0.42	-93.0
105	W.Gosschalk	🇳🇱 NETHERLANDS	196	-0.45	-88.0
106	W.Van Eijck	🇳🇱 NETHERLANDS	196	-0.45	-88.0
107	C.Chang	🇹🇼 CHINESE TAIPEI	224	-0.50	-111.0
108	C.Chen	🇹🇼 CHINESE TAIPEI	224	-0.50	-111.0
109	J.Haque	🇧🇩 BANGLADESH	294	-0.50	-146.0
110	M.Macri	🇦🇷 ARGENTINA	196	-0.52	-101.0
111	C.Kuo	🇹🇼 CHINESE TAIPEI	210	-0.55	-115.0
112	C.Wu	🇹🇼 CHINESE TAIPEI	210	-0.55	-115.0
113	K.Belrhiti Alaoui	🇲🇦 MOROCCO	182	-0.55	-101.0
114	M.Berrada	🇲🇦 MOROCCO	182	-0.55	-101.0
115	S.Ahmed	🇧🇩 BANGLADESH	308	-0.62	-190.0
116	T.Brown	🇦🇺 AUSTRALIA	182	-0.64	-116.0
117	I.Thomson	🇦🇺 AUSTRALIA	182	-0.64	-116.0
118	M.Cornell	🇳🇿 NEW ZEALAND	196	-0.67	-132.0
119	G.Tislevoll	🇳🇿 NEW ZEALAND	196	-0.67	-132.0
120	D.Crombie	🇳🇿 NEW ZEALAND	224	-0.67	-151.0
121	N.Stuckey	🇳🇿 NEW ZEALAND	224	-0.67	-151.0
122	J.Holland	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	238	-0.69	-164.0
123	A.Mould	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	238	-0.69	-164.0
124	D.Hanzala	🇧🇩 BANGLADESH	294	-0.79	-233.0
125	J.Dai	🇨🇳 CHINA	210	-0.80	-169.0
126	Q.Li	🇨🇳 CHINA	210	-0.80	-169.0
127	O.Ludvigsen	🇳🇴 NORWAY	210	-0.81	-170.0
128	J.Mikkelsen	🇳🇴 NORWAY	210	-0.81	-170.0
129	T.Imakura	🇯🇵 JAPAN	210	-0.81	-170.0
130	K.Yamada	🇯🇵 JAPAN	210	-0.81	-170.0
131	W.El Ahmady	🇪🇬 EGYPT	182	-0.87	-158.0
132	A.Farrag	🇪🇬 EGYPT	182	-0.87	-158.0
133	J.Hansen	🇩🇰 DENMARK	210	-1.10	-232.0
134	S.Schou	🇩🇰 DENMARK	210	-1.10	-232.0
135	P.Balakrishnan	🇮🇳 INDIA	196	-1.11	-217.0
136	K.Ramaratnam	🇮🇳 INDIA	196	-1.11	-217.0
137	S.Chan	🇭🇰 HONG KONG CHINA	196	-1.47	-288.0
138	K.Lung	🇭🇰 HONG KONG CHINA	196	-1.47	-288.0
139	R.Hughes	🇨🇦 CANADA	98	-0.08	-8.0
140	D.Turner	🇨🇦 CANADA	98	-0.08	-8.0
141	A.Mina	🇮🇹 ITALY	126	-0.27	-34.0
142	R.Pulga	🇮🇹 ITALY	126	-0.27	-34.0
143	K.Haque	🇧🇩 BANGLADESH	112	-1.49	-167.0

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	P.Chottin	🇫🇷 FRANCE	55	92.7%	0.11
2	K.Belrhiti Alaoui	🇲🇦 MOROCCO	37	91.9%	0.08
3	A.Kowalski	🇵🇱 POLAND	49	91.8%	0.12
4	D.Pilon	🇫🇷 FRANCE	48	89.6%	0.15
5	H.Lin	🇹🇼 CHINESE TAIPEI	56	89.3%	0.11
6	L.Palazzo	🇦🇷 ARGENTINA	54	88.9%	0.13
7	B.Satyanarayana	🇮🇳 INDIA	59	88.1%	0.15
8	J.Furunes	🇳🇴 NORWAY	50	88.0%	0.12
9	K.Ramaratnam	🇮🇳 INDIA	41	87.8%	0.12
10	L.Cohen	🇺🇸 USA1	68	86.8%	0.13
11	T.Brown	🇦🇺 AUSTRALIA	45	86.7%	0.24
12	G.Cambournac	🇲🇦 MOROCCO	52	86.5%	0.14
13	M.Kamil	🇺🇸 USA1	59	86.4%	0.17
14	W.Starkowski	🇵🇱 POLAND	50	86.0%	0.14
15	D.Mossop	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	43	86.0%	0.16
16	W.El Ahmady	🇪🇬 EGYPT	42	85.7%	0.14
17	A.Morath	🇸🇪 SWEDEN	56	85.7%	0.16
18	A.Farrag	🇪🇬 EGYPT	42	85.7%	0.21
19	J.Meckstroth	🇺🇸 USA1	55	85.5%	0.14
20	J.Sylvan	🇸🇪 SWEDEN	54	85.2%	0.20
21	D.Beauchamp	🇦🇺 AUSTRALIA	60	85.0%	0.15
22	P.Balakrishnan	🇮🇳 INDIA	46	84.8%	0.15
23	N.Schilhart	🇩🇪 GERMANY	52	84.6%	0.23
24	C.Chang	🇹🇼 CHINESE TAIPEI	52	84.6%	0.23
25	G.Duboin	🇮🇹 ITALY	64	84.4%	0.23
26	R.Geller	🇯🇵 JAPAN	63	84.1%	0.17
27	J.Mikkelsen	🇳🇴 NORWAY	44	84.1%	0.25
28	D.Hanzala	🇧🇩 BANGLADESH	75	84.0%	0.19
29	Z.Mahmood	🇺🇸 USA2	56	83.9%	0.16
30	P.Soulet	🇫🇷 FRANCE	56	83.9%	0.16
31	S.Terraneo	🇦🇹 AUSTRIA	62	83.9%	0.19
32	S.Gupta	🇮🇳 INDIA	56	83.9%	0.20
33	S.Chan	🇭🇰 HONG KONG CHINA	49	83.7%	0.22
34	Y.Zheng	🇨🇳 CHINA	55	83.6%	0.18
35	M.Berrada	🇲🇦 MOROCCO	55	83.6%	0.18
36	H.Grosvenor	🇦🇺 AUSTRALIA	61	83.6%	0.26
37	G.Kozakos	🇦🇺 AUSTRALIA	54	83.3%	0.18
38	S.Schou	🇩🇰 DENMARK	42	83.3%	0.19
39	A.Babsch	🇦🇹 AUSTRIA	60	83.3%	0.20
40	M.Gustawsson	🇸🇪 SWEDEN	59	83.1%	0.20
41	A.Mulder	🇳🇱 NETHERLANDS	70	82.9%	0.26
42	M.Abecassis	🇫🇷 FRANCE	52	82.7%	0.19
43	R.Ling	🇭🇰 HONG KONG CHINA	52	82.7%	0.19
44	T.Imakura	🇯🇵 JAPAN	46	82.6%	0.22
45	M.Abaza	🇪🇬 EGYPT	69	82.6%	0.23
46	C.Lucena	🇦🇷 ARGENTINA	63	82.5%	0.21
47	I.Thomson	🇦🇺 AUSTRALIA	34	82.4%	0.21
48	J.Kolen	🇳🇱 NETHERLANDS	51	82.4%	0.22
49	M.El Baz	🇪🇬 EGYPT	51	82.4%	0.23
50	J.Hansen	🇩🇰 DENMARK	45	82.2%	0.22
51	J.Wolfson	🇺🇸 USA1	39	82.1%	0.31
52	W.Fornasari	🇦🇷 ARGENTINA	50	82.0%	0.20
53	J.Dai	🇨🇳 CHINA	49	81.6%	0.24
54	K.Yamada	🇯🇵 JAPAN	49	81.6%	0.27
55	P.Shields	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	65	81.5%	0.20
56	S.Zhou	🇨🇳 CHINA	54	81.5%	0.22
57	H.Klumpp	🇩🇪 GERMANY	64	81.2%	0.22
58	D.Crombie	🇳🇿 NEW ZEALAND	69	81.2%	0.28
59	Y.Liang	🇨🇳 CHINA	53	81.1%	0.19
60	K.Lung	🇭🇰 HONG KONG CHINA	53	81.1%	0.23
61	E.Rynning	🇳🇴 NORWAY	58	81.0%	0.19
62	D.Berkowitz	🇺🇸 USA1	58	81.0%	0.22
63	J.Shivdasani	🇮🇳 INDIA	68	80.9%	0.22
64	O.Ludvigsen	🇳🇴 NORWAY	68	80.9%	0.29
65	M.Blat	🇵🇱 POLAND	52	80.8%	0.21
66	A.Zein	🇪🇬 EGYPT	57	80.7%	0.25
67	S.Ahmed	🇧🇩 BANGLADESH	83	80.7%	0.27
68	G.Cohner	🇩🇪 GERMANY	60	80.0%	0.22
69	A.Farstad	🇳🇴 NORWAY	50	80.0%	0.22
70	A.Belkouch	🇲🇦 MOROCCO	55	80.0%	0.24
71	Y.Cheng	🇹🇼 CHINESE TAIPEI	55	80.0%	0.24
72	P.Schaltz	🇩🇰 DENMARK	65	80.0%	0.25
73	P.Sibony	🇲🇦 MOROCCO	55	80.0%	0.26
74	D.Schaltz	🇩🇰 DENMARK	60	80.0%	0.30
75	Z.Marcinski	🇨🇦 CANADA	64	79.7%	0.23
76	T.Bergdahl	🇸🇪 SWEDEN	59	79.7%	0.24
77	L.Van Den Brom	🇳🇱 NETHERLANDS	59	79.7%	0.27
78	H.Vinciguerra	🇫🇷 FRANCE	54	79.6%	0.24
79	C.Daehr	🇩🇪 GERMANY	49	79.6%	0.24
80	W.Gosschalk	🇳🇱 NETHERLANDS	44	79.5%	0.29
81	P.Carter	🇳🇿 NEW ZEALAND	58	79.3%	0.22
82	J.Holland	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	58	79.3%	0.31
83	C.Chen	🇹🇼 CHINESE TAIPEI	72	79.2%	0.25
84	R.Marsal	🇩🇪 GERMANY	43	79.1%	0.23
85	D.Jacob	🇨🇦 CANADA	71	78.9%	0.23
86	S.Garner	🇺🇸 USA1	38	78.9%	0.26
87	P.Bizon	🇵🇱 POLAND	52	78.8%	0.33
88	M.Lorber	🇨🇦 CANADA	75	78.7%	0.25
89	H.Lall	🇺🇸 USA2	47	78.7%	0.28
90	M.Macri	🇦🇷 ARGENTINA	42	78.6%	0.26
91	J.Haque	🇧🇩 BANGLADESH	79	78.5%	0.25
92	M.Kwiecien	🇵🇱 POLAND	65	78.5%	0.26
93	E.Rodwell	🇺🇸 USA2	65	78.5%	0.28
94	J.Rueda	🇦🇷 ARGENTINA	60	78.3%	0.25
95	A.Sontag	🇺🇸 USA2	55	78.2%	0.26
96	B.Levin	🇺🇸 USA2	55	78.2%	0.27
97	M.Van Der Vlugt	🇦🇺 AUSTRALIA	59	78.0%	0.29
98	A.Mortarotti	🇮🇹 ITALY	72	77.8%	0.24
99	C.Kuo	🇹🇼 CHINESE TAIPEI	54	77.8%	0.24
100	N.Buchlev	🇩🇪 GERMANY	62	77.4%	0.24
101	A.Omasa	🇯🇵 JAPAN	53	77.4%	0.26
102	J.Ostberg	🇸🇪 SWEDEN	44	77.3%	0.23
103	C.Wu	🇹🇼 CHINESE TAIPEI	44	77.3%	0.25
104	S.Wan	🇭🇰 HONG KONG CHINA	69	76.8%	0.28
105	R.Chamberlain	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	60	76.7%	0.23
106	F.Terraneo	🇦🇹 AUSTRIA	60	76.7%	0.27
107	P.Klimowicz	🇨🇦 CANADA	73	76.7%	0.29
108	R.Milner	🇺🇸 USA2	30	76.7%	0.37
109	P.Zelnik	🇦🇹 AUSTRIA	47	76.6%	0.30
110	M.Hussain Atm	🇧🇩 BANGLADESH	72	76.4%	0.25
111	G.Hallberg	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	55	76.4%	0.29
112	G.Failla	🇮🇹 ITALY	72	76.4%	0.32
113	H.Camberos	🇦🇷 ARGENTINA	55	76.4%	0.33
114	K.Feichtinger	🇦🇹 AUSTRIA	38	76.3%	0.47
115	P.Tuszynski	🇵🇱 POLAND	42	76.2%	0.26
116	Q.Li	🇨🇳 CHINA	42	76.2%	0.33
117	M.Cornell	🇳🇿 NEW ZEALAND	50	76.0%	0.38
118	A.Mould	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	54	75.9%	0.26
119	J.Nicolajsen	🇩🇰 DENMARK	62	75.8%	0.34
120	M.Ino	🇯🇵 JAPAN	45	75.6%	0.27
121	M.Hirata	🇯🇵 JAPAN	69	75.4%	0.30
122	H.Berger	🇦🇹 AUSTRIA	57	75.4%	0.33
123	G.Tislevoll	🇳🇿 NEW ZEALAND	36	75.0%	0.28
124	A.Azzam	🇪🇬 EGYPT	52	75.0%	0.29
125	M.Lanzarotti	🇮🇹 ITALY	59	74.6%	0.32
126	S.Christiansen	🇩🇰 DENMARK	47	74.5%	0.28
127	J.Weng	🇨🇳 CHINA	51	74.5%	0.31
128	R.Goenka	🇮🇳 INDIA	47	74.5%	0.32
129	J.Atkinson	🇳🇿 NEW ZEALAND	55	74.5%	0.34
130	B.Efraimsson	🇸🇪 SWEDEN	60	73.3%	0.37
131	P.Yeung	🇭🇰 HONG KONG CHINA	52	73.1%	0.33
132	K.Chiu	🇭🇰 HONG KONG CHINA	59	72.9%	0.30
133	J.Hayet	🇲🇦 MOROCCO	59	72.9%	0.36
134	J.Verhees	🇳🇱 NETHERLANDS	55	72.7%	0.29
135	S.Bjerkset	🇳🇴 NORWAY	55	70.9%	0.33
136	W.Van Eijck	🇳🇱 NETHERLANDS	45	68.9%	0.36
137	N.Stuckey	🇳🇿 NEW ZEALAND	54	68.5%	0.35
138	M.Bompis	🇫🇷 FRANCE	43	67.4%	0.44
139	R.Pulga	🇮🇹 ITALY	31	93.5%	0.07
140	R.Hughes	🇨🇦 CANADA	28	85.7%	0.18
141	D.Turner	🇨🇦 CANADA	22	81.8%	0.23
142	A.Mina	🇮🇹 ITALY	26	80.8%	0.19
143	K.Haque	🇧🇩 BANGLADESH	20	80.0%	0.30

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	L.Van Den Brom	🇳🇱 NETHERLANDS	47	87.2%	0.17
2	M.Kwiecien	🇵🇱 POLAND	58	86.2%	0.19
3	E.Rodwell	🇺🇸 USA2	67	85.1%	0.19
4	A.Babsch	🇦🇹 AUSTRIA	67	85.1%	0.19
5	H.Berger	🇦🇹 AUSTRIA	58	84.5%	0.24
6	W.Starkowski	🇵🇱 POLAND	51	84.3%	0.20
7	M.Lanzarotti	🇮🇹 ITALY	49	83.7%	0.18
8	M.Kamil	🇺🇸 USA1	55	83.6%	0.18
9	H.Vinciguerra	🇫🇷 FRANCE	47	83.0%	0.32
10	B.Efraimsson	🇸🇪 SWEDEN	41	82.9%	0.17
11	A.Sontag	🇺🇸 USA2	57	82.5%	0.19
12	S.Zhou	🇨🇳 CHINA	57	82.5%	0.26
13	J.Meckstroth	🇺🇸 USA1	68	82.4%	0.21
14	S.Gupta	🇮🇳 INDIA	51	82.4%	0.29
15	N.Schilhart	🇩🇪 GERMANY	45	82.2%	0.20
16	J.Ostberg	🇸🇪 SWEDEN	54	81.5%	0.24
17	G.Hallberg	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	43	81.4%	0.21
18	G.Duboin	🇮🇹 ITALY	70	81.4%	0.21
19	G.Failla	🇮🇹 ITALY	59	81.4%	0.22
20	D.Pilon	🇫🇷 FRANCE	43	81.4%	0.26
21	D.Berkowitz	🇺🇸 USA1	48	81.2%	0.19
22	C.Lucena	🇦🇷 ARGENTINA	63	81.0%	0.24
23	M.Abaza	🇪🇬 EGYPT	63	81.0%	0.25
24	D.Mossop	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	41	80.5%	0.24
25	W.Gosschalk	🇳🇱 NETHERLANDS	51	80.4%	0.29
26	M.Hussain Atm	🇧🇩 BANGLADESH	61	80.3%	0.23
27	Q.Li	🇨🇳 CHINA	50	80.0%	0.20
28	P.Balakrishnan	🇮🇳 INDIA	55	80.0%	0.24
29	J.Shivdasani	🇮🇳 INDIA	60	80.0%	0.28
30	B.Levin	🇺🇸 USA2	64	79.7%	0.25
31	Z.Mahmood	🇺🇸 USA2	69	79.7%	0.26
32	I.Thomson	🇦🇺 AUSTRALIA	49	79.6%	0.20
33	P.Tuszynski	🇵🇱 POLAND	63	79.4%	0.24
34	H.Lall	🇺🇸 USA2	48	79.2%	0.23
35	R.Chamberlain	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	43	79.1%	0.21
36	Y.Zheng	🇨🇳 CHINA	62	79.0%	0.32
37	S.Schou	🇩🇰 DENMARK	61	78.7%	0.26
38	W.Fornasari	🇦🇷 ARGENTINA	46	78.3%	0.26
39	A.Mould	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	64	78.1%	0.25
40	K.Belrhiti Alaoui	🇲🇦 MOROCCO	32	78.1%	0.31
41	W.El Ahmady	🇪🇬 EGYPT	58	77.6%	0.24
42	J.Hansen	🇩🇰 DENMARK	62	77.4%	0.26
43	J.Sylvan	🇸🇪 SWEDEN	53	77.4%	0.26
44	M.Abecassis	🇫🇷 FRANCE	57	77.2%	0.28
45	L.Cohen	🇺🇸 USA1	64	76.6%	0.33
46	G.Tislevoll	🇳🇿 NEW ZEALAND	64	76.6%	0.34
47	J.Verhees	🇳🇱 NETHERLANDS	51	76.5%	0.31
48	P.Klimowicz	🇨🇦 CANADA	72	76.4%	0.25
49	M.El Baz	🇪🇬 EGYPT	55	76.4%	0.26
50	M.Bompis	🇫🇷 FRANCE	55	76.4%	0.34
51	G.Cambournac	🇲🇦 MOROCCO	59	76.3%	0.30
52	S.Ahmed	🇧🇩 BANGLADESH	80	76.2%	0.30
53	M.Cornell	🇳🇿 NEW ZEALAND	46	76.1%	0.37
54	P.Schaltz	🇩🇰 DENMARK	58	75.9%	0.24
55	T.Brown	🇦🇺 AUSTRALIA	54	75.9%	0.28
56	K.Ramaratnam	🇮🇳 INDIA	54	75.9%	0.32
57	M.Gustawsson	🇸🇪 SWEDEN	58	75.9%	0.34
58	J.Holland	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	62	75.8%	0.27
59	A.Zein	🇪🇬 EGYPT	49	75.5%	0.33
60	N.Buchlev	🇩🇪 GERMANY	65	75.4%	0.29
61	M.Berrada	🇲🇦 MOROCCO	57	75.4%	0.37
62	M.Lorber	🇨🇦 CANADA	73	75.3%	0.29
63	J.Haque	🇧🇩 BANGLADESH	81	75.3%	0.33
64	L.Palazzo	🇦🇷 ARGENTINA	56	75.0%	0.27
65	A.Omasa	🇯🇵 JAPAN	44	75.0%	0.29
66	J.Wolfson	🇺🇸 USA1	44	75.0%	0.29
67	W.Van Eijck	🇳🇱 NETHERLANDS	56	75.0%	0.34
68	A.Farstad	🇳🇴 NORWAY	56	75.0%	0.34
69	P.Chottin	🇫🇷 FRANCE	63	74.6%	0.29
70	R.Ling	🇭🇰 HONG KONG CHINA	63	74.6%	0.29
71	P.Bizon	🇵🇱 POLAND	47	74.5%	0.32
72	O.Ludvigsen	🇳🇴 NORWAY	51	74.5%	0.37
73	M.Ino	🇯🇵 JAPAN	62	74.2%	0.35
74	D.Schaltz	🇩🇰 DENMARK	54	74.1%	0.30
75	S.Garner	🇺🇸 USA1	46	73.9%	0.26
76	C.Daehr	🇩🇪 GERMANY	64	73.4%	0.30
77	A.Morath	🇸🇪 SWEDEN	52	73.1%	0.29
78	D.Jacob	🇨🇦 CANADA	63	73.0%	0.30
79	P.Soulet	🇫🇷 FRANCE	70	72.9%	0.36
80	J.Weng	🇨🇳 CHINA	48	72.9%	0.40
81	S.Terraneo	🇦🇹 AUSTRIA	44	72.7%	0.32
82	J.Dai	🇨🇳 CHINA	69	72.5%	0.29
83	J.Furunes	🇳🇴 NORWAY	58	72.4%	0.29
84	R.Milner	🇺🇸 USA2	29	72.4%	0.31
85	Y.Cheng	🇹🇼 CHINESE TAIPEI	58	72.4%	0.34
86	B.Satyanarayana	🇮🇳 INDIA	65	72.3%	0.32
87	G.Cohner	🇩🇪 GERMANY	65	72.3%	0.35
88	T.Imakura	🇯🇵 JAPAN	61	72.1%	0.29
89	D.Hanzala	🇧🇩 BANGLADESH	64	71.9%	0.34
90	M.Van Der Vlugt	🇦🇺 AUSTRALIA	53	71.7%	0.36
91	C.Chang	🇹🇼 CHINESE TAIPEI	49	71.4%	0.33
92	C.Kuo	🇹🇼 CHINESE TAIPEI	49	71.4%	0.39
93	K.Feichtinger	🇦🇹 AUSTRIA	38	71.1%	0.29
94	H.Grosvenor	🇦🇺 AUSTRALIA	62	71.0%	0.39
95	K.Lung	🇭🇰 HONG KONG CHINA	48	70.8%	0.35
96	M.Hirata	🇯🇵 JAPAN	44	70.5%	0.32
97	R.Geller	🇯🇵 JAPAN	54	70.4%	0.46
98	S.Christiansen	🇩🇰 DENMARK	47	70.2%	0.36
99	J.Nicolajsen	🇩🇰 DENMARK	40	70.0%	0.35
100	S.Bjerkset	🇳🇴 NORWAY	60	70.0%	0.38
101	P.Shields	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	56	69.6%	0.38
102	J.Rueda	🇦🇷 ARGENTINA	56	69.6%	0.38
103	J.Atkinson	🇳🇿 NEW ZEALAND	59	69.5%	0.42
104	J.Kolen	🇳🇱 NETHERLANDS	62	69.4%	0.37
105	D.Crombie	🇳🇿 NEW ZEALAND	49	69.4%	0.43
106	F.Terraneo	🇦🇹 AUSTRIA	65	69.2%	0.35
107	N.Stuckey	🇳🇿 NEW ZEALAND	52	69.2%	0.40
108	P.Yeung	🇭🇰 HONG KONG CHINA	48	68.8%	0.38
109	A.Kowalski	🇵🇱 POLAND	70	68.6%	0.37
110	S.Wan	🇭🇰 HONG KONG CHINA	54	68.5%	0.37
111	Y.Liang	🇨🇳 CHINA	54	68.5%	0.39
112	A.Azzam	🇪🇬 EGYPT	66	68.2%	0.41
113	A.Mortarotti	🇮🇹 ITALY	72	68.1%	0.42
114	T.Bergdahl	🇸🇪 SWEDEN	53	67.9%	0.36
115	A.Mulder	🇳🇱 NETHERLANDS	53	67.9%	0.36
116	H.Camberos	🇦🇷 ARGENTINA	52	67.3%	0.40
117	J.Hayet	🇲🇦 MOROCCO	64	67.2%	0.45
118	R.Marsal	🇩🇪 GERMANY	33	66.7%	0.36
119	H.Klumpp	🇩🇪 GERMANY	42	66.7%	0.38
120	P.Zelnik	🇦🇹 AUSTRIA	48	66.7%	0.44
121	Z.Marcinski	🇨🇦 CANADA	54	66.7%	0.44
122	R.Goenka	🇮🇳 INDIA	41	65.9%	0.39
123	D.Beauchamp	🇦🇺 AUSTRALIA	66	65.2%	0.39
124	G.Kozakos	🇦🇺 AUSTRALIA	46	65.2%	0.56
125	K.Yamada	🇯🇵 JAPAN	54	64.8%	0.39
126	K.Chiu	🇭🇰 HONG KONG CHINA	51	64.7%	0.43
127	P.Sibony	🇲🇦 MOROCCO	73	63.0%	0.42
128	C.Chen	🇹🇼 CHINESE TAIPEI	51	62.7%	0.43
129	P.Carter	🇳🇿 NEW ZEALAND	51	62.7%	0.47
130	A.Farrag	🇪🇬 EGYPT	40	62.5%	0.47
131	M.Blat	🇵🇱 POLAND	45	62.2%	0.42
132	M.Macri	🇦🇷 ARGENTINA	45	62.2%	0.53
133	J.Mikkelsen	🇳🇴 NORWAY	47	61.7%	0.45
134	H.Lin	🇹🇼 CHINESE TAIPEI	41	61.0%	0.63
135	S.Chan	🇭🇰 HONG KONG CHINA	46	60.9%	0.56
136	E.Rynning	🇳🇴 NORWAY	45	60.0%	0.60
137	A.Belkouch	🇲🇦 MOROCCO	44	56.8%	0.52
138	C.Wu	🇹🇼 CHINESE TAIPEI	62	56.5%	0.48
139	D.Turner	🇨🇦 CANADA	27	85.2%	0.15
140	R.Pulga	🇮🇹 ITALY	32	84.4%	0.22
141	R.Hughes	🇨🇦 CANADA	21	76.2%	0.33
142	A.Mina	🇮🇹 ITALY	36	75.0%	0.28
143	K.Haque	🇧🇩 BANGLADESH	29	69.0%	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	Z.Mahmood	🇺🇸 USA2	111	94.6%	0.06
2	A.Sontag	🇺🇸 USA2	111	94.6%	0.06
3	B.Satyanarayana	🇮🇳 INDIA	127	93.7%	0.07
4	J.Shivdasani	🇮🇳 INDIA	127	93.7%	0.07
5	D.Schaltz	🇩🇰 DENMARK	125	93.6%	0.07
6	P.Schaltz	🇩🇰 DENMARK	125	93.6%	0.07
7	J.Hansen	🇩🇰 DENMARK	87	93.1%	0.08
8	S.Schou	🇩🇰 DENMARK	87	93.1%	0.08
9	M.Abecassis	🇫🇷 FRANCE	106	91.5%	0.11
10	H.Vinciguerra	🇫🇷 FRANCE	106	91.5%	0.11
11	M.Kamil	🇺🇸 USA1	114	91.2%	0.12
12	J.Meckstroth	🇺🇸 USA1	114	91.2%	0.12
13	H.Lall	🇺🇸 USA2	77	90.9%	0.10
14	R.Milner	🇺🇸 USA2	77	90.9%	0.10
15	B.Levin	🇺🇸 USA2	120	90.8%	0.09
16	E.Rodwell	🇺🇸 USA2	120	90.8%	0.09
17	L.Van Den Brom	🇳🇱 NETHERLANDS	127	90.6%	0.10
18	W.Fornasari	🇦🇷 ARGENTINA	106	90.6%	0.12
19	D.Berkowitz	🇺🇸 USA1	126	90.5%	0.10
20	L.Cohen	🇺🇸 USA1	126	90.5%	0.10
21	B.Efraimsson	🇸🇪 SWEDEN	116	90.5%	0.10
22	A.Morath	🇸🇪 SWEDEN	116	90.5%	0.10
23	N.Buchlev	🇩🇪 GERMANY	114	90.4%	0.10
24	N.Schilhart	🇩🇪 GERMANY	114	90.4%	0.10
25	J.Verhees	🇳🇱 NETHERLANDS	104	90.4%	0.10
26	M.Kwiecien	🇵🇱 POLAND	115	90.4%	0.10
27	W.Starkowski	🇵🇱 POLAND	115	90.4%	0.10
28	L.Palazzo	🇦🇷 ARGENTINA	104	90.4%	0.12
29	T.Bergdahl	🇸🇪 SWEDEN	103	90.3%	0.14
30	J.Ostberg	🇸🇪 SWEDEN	103	90.3%	0.14
31	A.Mulder	🇳🇱 NETHERLANDS	131	90.1%	0.11
32	K.Feichtinger	🇦🇹 AUSTRIA	100	90.0%	0.12
33	S.Terraneo	🇦🇹 AUSTRIA	100	90.0%	0.12
34	J.Kolen	🇳🇱 NETHERLANDS	108	89.8%	0.10
35	C.Lucena	🇦🇷 ARGENTINA	110	89.1%	0.11
36	Y.Liang	🇨🇳 CHINA	108	88.9%	0.13
37	Y.Zheng	🇨🇳 CHINA	108	88.9%	0.13
38	W.Gosschalk	🇳🇱 NETHERLANDS	89	88.8%	0.15
39	W.Van Eijck	🇳🇱 NETHERLANDS	89	88.8%	0.15
40	H.Camberos	🇦🇷 ARGENTINA	115	88.7%	0.12
41	J.Rueda	🇦🇷 ARGENTINA	115	88.7%	0.12
42	J.Holland	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	112	88.4%	0.12
43	A.Mould	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	112	88.4%	0.12
44	K.Chiu	🇭🇰 HONG KONG CHINA	111	88.3%	0.12
45	P.Yeung	🇭🇰 HONG KONG CHINA	111	88.3%	0.12
46	R.Chamberlain	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	125	88.0%	0.14
47	P.Shields	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	125	88.0%	0.14
48	M.Macri	🇦🇷 ARGENTINA	98	87.8%	0.12
49	M.Hirata	🇯🇵 JAPAN	122	87.7%	0.14
50	A.Omasa	🇯🇵 JAPAN	122	87.7%	0.14
51	G.Duboin	🇮🇹 ITALY	136	87.5%	0.14
52	G.Failla	🇮🇹 ITALY	136	87.5%	0.14
53	H.Berger	🇦🇹 AUSTRIA	104	87.5%	0.15
54	P.Zelnik	🇦🇹 AUSTRIA	104	87.5%	0.15
55	M.Bompis	🇫🇷 FRANCE	99	86.9%	0.13
56	P.Soulet	🇫🇷 FRANCE	99	86.9%	0.13
57	H.Klumpp	🇩🇪 GERMANY	107	86.9%	0.14
58	R.Marsal	🇩🇪 GERMANY	107	86.9%	0.14
59	D.Jacob	🇨🇦 CANADA	144	86.8%	0.15
60	P.Klimowicz	🇨🇦 CANADA	144	86.8%	0.15
61	P.Bizon	🇵🇱 POLAND	104	86.5%	0.18
62	M.Blat	🇵🇱 POLAND	104	86.5%	0.18
63	P.Chottin	🇫🇷 FRANCE	103	86.4%	0.17
64	D.Pilon	🇫🇷 FRANCE	103	86.4%	0.17
65	M.Lanzarotti	🇮🇹 ITALY	131	86.3%	0.16
66	A.Mortarotti	🇮🇹 ITALY	131	86.3%	0.16
67	R.Ling	🇭🇰 HONG KONG CHINA	121	86.0%	0.15
68	S.Wan	🇭🇰 HONG KONG CHINA	121	86.0%	0.15
69	A.Babsch	🇦🇹 AUSTRIA	120	85.8%	0.15
70	F.Terraneo	🇦🇹 AUSTRIA	120	85.8%	0.15
71	J.Atkinson	🇳🇿 NEW ZEALAND	113	85.8%	0.15
72	P.Carter	🇳🇿 NEW ZEALAND	113	85.8%	0.15
73	M.Gustawsson	🇸🇪 SWEDEN	113	85.8%	0.17
74	J.Sylvan	🇸🇪 SWEDEN	113	85.8%	0.17
75	M.Abaza	🇪🇬 EGYPT	126	85.7%	0.15
76	A.Zein	🇪🇬 EGYPT	126	85.7%	0.15
77	A.Kowalski	🇵🇱 POLAND	91	85.7%	0.15
78	P.Tuszynski	🇵🇱 POLAND	91	85.7%	0.15
79	W.El Ahmady	🇪🇬 EGYPT	84	85.7%	0.17
80	A.Farrag	🇪🇬 EGYPT	84	85.7%	0.17
81	S.Garner	🇺🇸 USA1	77	85.7%	0.18
82	J.Wolfson	🇺🇸 USA1	77	85.7%	0.18
83	M.Hussain Atm	🇧🇩 BANGLADESH	144	85.4%	0.18
84	G.Cohner	🇩🇪 GERMANY	109	85.3%	0.16
85	C.Daehr	🇩🇪 GERMANY	109	85.3%	0.16
86	S.Christiansen	🇩🇰 DENMARK	109	85.3%	0.17
87	J.Nicolajsen	🇩🇰 DENMARK	109	85.3%	0.17
88	M.Cornell	🇳🇿 NEW ZEALAND	86	84.9%	0.15
89	G.Tislevoll	🇳🇿 NEW ZEALAND	86	84.9%	0.15
90	T.Brown	🇦🇺 AUSTRALIA	79	84.8%	0.15
91	I.Thomson	🇦🇺 AUSTRALIA	79	84.8%	0.15
92	Y.Cheng	🇹🇼 CHINESE TAIPEI	111	84.7%	0.21
93	H.Lin	🇹🇼 CHINESE TAIPEI	111	84.7%	0.21
94	R.Geller	🇯🇵 JAPAN	108	84.3%	0.18
95	M.Ino	🇯🇵 JAPAN	108	84.3%	0.18
96	J.Weng	🇨🇳 CHINA	105	83.8%	0.20
97	S.Zhou	🇨🇳 CHINA	105	83.8%	0.20
98	G.Hallberg	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	98	83.7%	0.16
99	D.Mossop	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	98	83.7%	0.16
100	R.Goenka	🇮🇳 INDIA	103	83.5%	0.19
101	S.Gupta	🇮🇳 INDIA	103	83.5%	0.19
102	J.Dai	🇨🇳 CHINA	91	83.5%	0.25
103	Q.Li	🇨🇳 CHINA	91	83.5%	0.25
104	J.Haque	🇧🇩 BANGLADESH	151	83.4%	0.20
105	A.Farstad	🇳🇴 NORWAY	108	83.3%	0.19
106	E.Rynning	🇳🇴 NORWAY	108	83.3%	0.19
107	D.Beauchamp	🇦🇺 AUSTRALIA	119	83.2%	0.18
108	M.Van Der Vlugt	🇦🇺 AUSTRALIA	119	83.2%	0.18
109	M.Lorber	🇨🇦 CANADA	139	82.7%	0.21
110	Z.Marcinski	🇨🇦 CANADA	139	82.7%	0.21
111	S.Ahmed	🇧🇩 BANGLADESH	161	82.6%	0.19
112	H.Grosvenor	🇦🇺 AUSTRALIA	115	82.6%	0.23
113	G.Kozakos	🇦🇺 AUSTRALIA	115	82.6%	0.23
114	J.Hayet	🇲🇦 MOROCCO	114	82.5%	0.22
115	P.Sibony	🇲🇦 MOROCCO	114	82.5%	0.22
116	A.Belkouch	🇲🇦 MOROCCO	107	82.2%	0.22
117	G.Cambournac	🇲🇦 MOROCCO	107	82.2%	0.22
118	T.Imakura	🇯🇵 JAPAN	95	82.1%	0.19
119	K.Yamada	🇯🇵 JAPAN	95	82.1%	0.19
120	S.Bjerkset	🇳🇴 NORWAY	105	81.9%	0.19
121	J.Furunes	🇳🇴 NORWAY	105	81.9%	0.19
122	C.Kuo	🇹🇼 CHINESE TAIPEI	98	81.6%	0.23
123	C.Wu	🇹🇼 CHINESE TAIPEI	98	81.6%	0.23
124	S.Chan	🇭🇰 HONG KONG CHINA	102	81.4%	0.23
125	K.Lung	🇭🇰 HONG KONG CHINA	102	81.4%	0.23
126	P.Balakrishnan	🇮🇳 INDIA	87	80.5%	0.28
127	K.Ramaratnam	🇮🇳 INDIA	87	80.5%	0.28
128	D.Hanzala	🇧🇩 BANGLADESH	153	80.4%	0.21
129	A.Azzam	🇪🇬 EGYPT	103	79.6%	0.26
130	M.El Baz	🇪🇬 EGYPT	103	79.6%	0.26
131	C.Chang	🇹🇼 CHINESE TAIPEI	124	78.2%	0.31
132	C.Chen	🇹🇼 CHINESE TAIPEI	124	78.2%	0.31
133	K.Belrhiti Alaoui	🇲🇦 MOROCCO	92	77.2%	0.29
134	M.Berrada	🇲🇦 MOROCCO	92	77.2%	0.29
135	D.Crombie	🇳🇿 NEW ZEALAND	123	76.4%	0.32
136	N.Stuckey	🇳🇿 NEW ZEALAND	123	76.4%	0.32
137	O.Ludvigsen	🇳🇴 NORWAY	112	75.9%	0.25
138	J.Mikkelsen	🇳🇴 NORWAY	112	75.9%	0.25
139	R.Hughes	🇨🇦 CANADA	50	90.0%	0.18
140	D.Turner	🇨🇦 CANADA	50	90.0%	0.18
141	A.Mina	🇮🇹 ITALY	57	82.5%	0.19
142	R.Pulga	🇮🇹 ITALY	57	82.5%	0.19
143	K.Haque	🇧🇩 BANGLADESH	49	71.4%	0.35

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	W.Van Eijck	🇳🇱 NETHERLANDS	527	271	51.4%
2	A.Kowalski	🇵🇱 POLAND	640	326	50.9%
3	K.Ramaratnam	🇮🇳 INDIA	566	288	50.9%
4	S.Schou	🇩🇰 DENMARK	582	292	50.2%
5	W.Gosschalk	🇳🇱 NETHERLANDS	533	267	50.1%
6	J.Hansen	🇩🇰 DENMARK	576	285	49.5%
7	E.Rodwell	🇺🇸 USA2	685	338	49.3%
8	J.Dai	🇨🇳 CHINA	584	286	49.0%
9	P.Tuszynski	🇵🇱 POLAND	649	317	48.8%
10	P.Balakrishnan	🇮🇳 INDIA	552	268	48.6%
11	D.Jacob	🇨🇦 CANADA	788	379	48.1%
12	Z.Mahmood	🇺🇸 USA2	639	301	47.1%
13	M.El Baz	🇪🇬 EGYPT	627	294	46.9%
14	S.Bjerkset	🇳🇴 NORWAY	624	292	46.8%
15	T.Brown	🇦🇺 AUSTRALIA	480	224	46.7%
16	G.Failla	🇮🇹 ITALY	766	354	46.2%
17	B.Levin	🇺🇸 USA2	697	321	46.1%
18	G.Cohner	🇩🇪 GERMANY	647	298	46.1%
19	G.Tislevoll	🇳🇿 NEW ZEALAND	529	244	46.1%
20	T.Imakura	🇯🇵 JAPAN	580	267	46.0%
21	P.Soulet	🇫🇷 FRANCE	614	282	45.9%
22	M.Abecassis	🇫🇷 FRANCE	569	261	45.9%
23	P.Carter	🇳🇿 NEW ZEALAND	589	270	45.8%
24	J.Holland	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	667	305	45.7%
25	A.Azzam	🇪🇬 EGYPT	624	285	45.7%
26	M.Lorber	🇨🇦 CANADA	765	348	45.5%
27	F.Terraneo	🇦🇹 AUSTRIA	696	316	45.4%
28	A.Mould	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	679	308	45.4%
29	J.Meckstroth	🇺🇸 USA1	622	282	45.3%
30	A.Farstad	🇳🇴 NORWAY	592	268	45.3%
31	S.Garner	🇺🇸 USA1	464	210	45.3%
32	A.Farrag	🇪🇬 EGYPT	498	225	45.2%
33	M.Kamil	🇺🇸 USA1	618	279	45.1%
34	G.Duboin	🇮🇹 ITALY	769	346	45.0%
35	J.Ostberg	🇸🇪 SWEDEN	586	263	44.9%
36	H.Lin	🇹🇼 CHINESE TAIPEI	555	249	44.9%
37	P.Klimowicz	🇨🇦 CANADA	795	356	44.8%
38	J.Furunes	🇳🇴 NORWAY	625	280	44.8%
39	I.Thomson	🇦🇺 AUSTRALIA	474	211	44.5%
40	C.Daehr	🇩🇪 GERMANY	648	288	44.4%
41	Z.Marcinski	🇨🇦 CANADA	778	345	44.3%
42	J.Kolen	🇳🇱 NETHERLANDS	601	266	44.3%
43	J.Atkinson	🇳🇿 NEW ZEALAND	591	262	44.3%
44	H.Lall	🇺🇸 USA2	419	185	44.2%
45	Y.Liang	🇨🇳 CHINA	599	264	44.1%
46	Q.Li	🇨🇳 CHINA	586	258	44.0%
47	N.Buchlev	🇩🇪 GERMANY	601	264	43.9%
48	P.Sibony	🇲🇦 MOROCCO	682	298	43.7%
49	R.Ling	🇭🇰 HONG KONG CHINA	668	292	43.7%
50	T.Bergdahl	🇸🇪 SWEDEN	583	255	43.7%
51	C.Kuo	🇹🇼 CHINESE TAIPEI	579	253	43.7%
52	M.Ino	🇯🇵 JAPAN	594	259	43.6%
53	P.Schaltz	🇩🇰 DENMARK	669	291	43.5%
54	L.Cohen	🇺🇸 USA1	660	287	43.5%
55	M.Gustawsson	🇸🇪 SWEDEN	593	258	43.5%
56	M.Cornell	🇳🇿 NEW ZEALAND	542	236	43.5%
57	W.El Ahmady	🇪🇬 EGYPT	501	218	43.5%
58	A.Babsch	🇦🇹 AUSTRIA	702	305	43.4%
59	M.Lanzarotti	🇮🇹 ITALY	720	312	43.3%
60	M.Bompis	🇫🇷 FRANCE	621	268	43.2%
61	H.Vinciguerra	🇫🇷 FRANCE	570	246	43.2%
62	Y.Cheng	🇹🇼 CHINESE TAIPEI	560	242	43.2%
63	C.Wu	🇹🇼 CHINESE TAIPEI	589	254	43.1%
64	J.Verhees	🇳🇱 NETHERLANDS	572	246	43.0%
65	P.Bizon	🇵🇱 POLAND	544	234	43.0%
66	A.Mulder	🇳🇱 NETHERLANDS	651	279	42.9%
67	K.Feichtinger	🇦🇹 AUSTRIA	482	207	42.9%
68	M.Van Der Vlugt	🇦🇺 AUSTRALIA	659	282	42.8%
69	S.Wan	🇭🇰 HONG KONG CHINA	658	281	42.7%
70	H.Grosvenor	🇦🇺 AUSTRALIA	595	254	42.7%
71	P.Chottin	🇫🇷 FRANCE	555	237	42.7%
72	Y.Zheng	🇨🇳 CHINA	596	254	42.6%
73	M.Berrada	🇲🇦 MOROCCO	486	207	42.6%
74	W.Fornasari	🇦🇷 ARGENTINA	581	247	42.5%
75	D.Hanzala	🇧🇩 BANGLADESH	813	345	42.4%
76	A.Mortarotti	🇮🇹 ITALY	739	313	42.4%
77	J.Shivdasani	🇮🇳 INDIA	688	292	42.4%
78	C.Chen	🇹🇼 CHINESE TAIPEI	601	255	42.4%
79	S.Zhou	🇨🇳 CHINA	563	238	42.3%
80	E.Rynning	🇳🇴 NORWAY	584	246	42.1%
81	M.Macri	🇦🇷 ARGENTINA	514	216	42.0%
82	B.Satyanarayana	🇮🇳 INDIA	683	286	41.9%
83	P.Shields	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	616	258	41.9%
84	K.Yamada	🇯🇵 JAPAN	587	246	41.9%
85	O.Ludvigsen	🇳🇴 NORWAY	549	230	41.9%
86	A.Sontag	🇺🇸 USA2	648	271	41.8%
87	J.Rueda	🇦🇷 ARGENTINA	620	259	41.8%
88	R.Geller	🇯🇵 JAPAN	595	249	41.8%
89	S.Terraneo	🇦🇹 AUSTRIA	491	205	41.8%
90	M.Hussain Atm	🇧🇩 BANGLADESH	757	316	41.7%
91	J.Hayet	🇲🇦 MOROCCO	696	290	41.7%
92	M.Kwiecien	🇵🇱 POLAND	624	260	41.7%
93	J.Wolfson	🇺🇸 USA1	475	198	41.7%
94	S.Ahmed	🇧🇩 BANGLADESH	853	355	41.6%
95	J.Nicolajsen	🇩🇰 DENMARK	539	223	41.4%
96	K.Lung	🇭🇰 HONG KONG CHINA	516	213	41.3%
97	D.Berkowitz	🇺🇸 USA1	661	272	41.1%
98	N.Schilhart	🇩🇪 GERMANY	608	250	41.1%
99	R.Chamberlain	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	606	249	41.1%
100	J.Sylvan	🇸🇪 SWEDEN	594	244	41.1%
101	P.Zelnik	🇦🇹 AUSTRIA	586	241	41.1%
102	M.Blat	🇵🇱 POLAND	550	226	41.1%
103	S.Chan	🇭🇰 HONG KONG CHINA	514	211	41.1%
104	D.Crombie	🇳🇿 NEW ZEALAND	607	249	41.0%
105	H.Berger	🇦🇹 AUSTRIA	589	241	40.9%
106	D.Pilon	🇫🇷 FRANCE	551	225	40.8%
107	D.Beauchamp	🇦🇺 AUSTRALIA	673	273	40.6%
108	D.Schaltz	🇩🇰 DENMARK	667	271	40.6%
109	L.Van Den Brom	🇳🇱 NETHERLANDS	614	249	40.6%
110	L.Palazzo	🇦🇷 ARGENTINA	571	232	40.6%
111	G.Kozakos	🇦🇺 AUSTRALIA	598	242	40.5%
112	G.Hallberg	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	484	196	40.5%
113	R.Milner	🇺🇸 USA2	422	171	40.5%
114	W.Starkowski	🇵🇱 POLAND	628	253	40.3%
115	C.Chang	🇹🇼 CHINESE TAIPEI	607	244	40.2%
116	J.Haque	🇧🇩 BANGLADESH	794	318	40.1%
117	H.Camberos	🇦🇷 ARGENTINA	631	253	40.1%
118	C.Lucena	🇦🇷 ARGENTINA	582	233	40.0%
119	J.Mikkelsen	🇳🇴 NORWAY	563	225	40.0%
120	G.Cambournac	🇲🇦 MOROCCO	591	234	39.6%
121	K.Chiu	🇭🇰 HONG KONG CHINA	574	227	39.5%
122	S.Gupta	🇮🇳 INDIA	548	216	39.4%
123	A.Zein	🇪🇬 EGYPT	685	269	39.3%
124	S.Christiansen	🇩🇰 DENMARK	547	215	39.3%
125	A.Morath	🇸🇪 SWEDEN	585	228	39.0%
126	B.Efraimsson	🇸🇪 SWEDEN	579	225	38.9%
127	K.Belrhiti Alaoui	🇲🇦 MOROCCO	490	190	38.8%
128	P.Yeung	🇭🇰 HONG KONG CHINA	592	228	38.5%
129	N.Stuckey	🇳🇿 NEW ZEALAND	620	237	38.2%
130	A.Belkouch	🇲🇦 MOROCCO	581	222	38.2%
131	H.Klumpp	🇩🇪 GERMANY	502	191	38.0%
132	D.Mossop	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	486	178	36.6%
133	M.Hirata	🇯🇵 JAPAN	582	211	36.3%
134	A.Omasa	🇯🇵 JAPAN	591	213	36.0%
135	M.Abaza	🇪🇬 EGYPT	682	245	35.9%
136	R.Goenka	🇮🇳 INDIA	549	195	35.5%
137	J.Weng	🇨🇳 CHINA	580	201	34.7%
138	R.Marsal	🇩🇪 GERMANY	513	172	33.5%
139	R.Pulga	🇮🇹 ITALY	358	160	44.7%
140	K.Haque	🇧🇩 BANGLADESH	308	137	44.5%
141	A.Mina	🇮🇹 ITALY	354	153	43.2%
142	R.Hughes	🇨🇦 CANADA	286	111	38.8%
143	D.Turner	🇨🇦 CANADA	280	104	37.1%

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	M.Kamil	🇺🇸 USA1	238	-0.09	+1.31	+1.22	·
2	J.Meckstroth	🇺🇸 USA1	238	-0.09	+1.31	+1.22	·
3	B.Levin	🇺🇸 USA2	252	-0.08	+1.18	+1.10	·
4	E.Rodwell	🇺🇸 USA2	252	-0.08	+1.18	+1.10	·
5	Z.Mahmood	🇺🇸 USA2	238	+0.11	+0.65	+0.76	▲2
6	A.Sontag	🇺🇸 USA2	238	+0.11	+0.65	+0.76	▲2
7	K.Feichtinger	🇦🇹 AUSTRIA	182	+0.12	+0.60	+0.71	▲4
8	S.Terraneo	🇦🇹 AUSTRIA	182	+0.12	+0.60	+0.71	▲4
9	M.Kwiecien	🇵🇱 POLAND	224	+0.00	+0.69	+0.70	▼4
10	W.Starkowski	🇵🇱 POLAND	224	+0.00	+0.69	+0.70	▼4
11	M.Bompis	🇫🇷 FRANCE	224	+0.13	+0.47	+0.61	▲12
12	P.Soulet	🇫🇷 FRANCE	224	+0.13	+0.47	+0.61	▲12
13	N.Buchlev	🇩🇪 GERMANY	224	+0.01	+0.53	+0.55	▲4
14	N.Schilhart	🇩🇪 GERMANY	224	+0.01	+0.53	+0.55	▲4
15	D.Berkowitz	🇺🇸 USA1	238	-0.08	+0.61	+0.52	▼6
16	L.Cohen	🇺🇸 USA1	238	-0.08	+0.61	+0.52	▼6
17	G.Hallberg	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	182	-0.05	+0.56	+0.51	▼4
18	D.Mossop	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	182	-0.05	+0.56	+0.51	▼4
19	A.Babsch	🇦🇹 AUSTRIA	252	-0.03	+0.53	+0.50	·
20	F.Terraneo	🇦🇹 AUSTRIA	252	-0.03	+0.53	+0.50	·
21	B.Efraimsson	🇸🇪 SWEDEN	210	+0.14	+0.35	+0.49	▲11
22	A.Morath	🇸🇪 SWEDEN	210	+0.14	+0.35	+0.49	▲11
23	B.Satyanarayana	🇮🇳 INDIA	252	-0.02	+0.50	+0.48	▼2
24	J.Shivdasani	🇮🇳 INDIA	252	-0.02	+0.50	+0.48	▼2
25	J.Kolen	🇳🇱 NETHERLANDS	224	+0.18	+0.25	+0.43	▲21
26	A.Kowalski	🇵🇱 POLAND	224	+0.07	+0.34	+0.42	▲10
27	P.Tuszynski	🇵🇱 POLAND	224	+0.07	+0.34	+0.42	▲10
28	J.Verhees	🇳🇱 NETHERLANDS	210	+0.16	+0.24	+0.40	▲19
29	T.Bergdahl	🇸🇪 SWEDEN	210	-0.23	+0.54	+0.31	▼14
30	J.Ostberg	🇸🇪 SWEDEN	210	-0.23	+0.54	+0.31	▼14
31	L.Palazzo	🇦🇷 ARGENTINA	210	-0.08	+0.38	+0.30	·
32	M.Gustawsson	🇸🇪 SWEDEN	224	+0.02	+0.26	+0.29	▲12
33	J.Sylvan	🇸🇪 SWEDEN	224	+0.02	+0.26	+0.29	▲12
34	P.Chottin	🇫🇷 FRANCE	210	-0.06	+0.34	+0.27	▲4
35	D.Pilon	🇫🇷 FRANCE	210	-0.06	+0.34	+0.27	▲4
36	A.Mulder	🇳🇱 NETHERLANDS	238	-0.11	+0.38	+0.27	▼6
37	S.Christiansen	🇩🇰 DENMARK	196	-0.09	+0.35	+0.26	▼3
38	J.Nicolajsen	🇩🇰 DENMARK	196	-0.09	+0.35	+0.26	▼3
39	Y.Liang	🇨🇳 CHINA	224	+0.09	+0.16	+0.25	▲10
40	Y.Zheng	🇨🇳 CHINA	224	+0.09	+0.16	+0.25	▲10
41	R.Goenka	🇮🇳 INDIA	196	-0.15	+0.40	+0.25	▼14
42	S.Gupta	🇮🇳 INDIA	196	-0.15	+0.40	+0.25	▼14
43	L.Van Den Brom	🇳🇱 NETHERLANDS	224	-0.15	+0.39	+0.23	▼14
44	G.Duboin	🇮🇹 ITALY	266	-0.07	+0.29	+0.23	▼4
45	G.Failla	🇮🇹 ITALY	266	-0.07	+0.29	+0.23	▼4
46	H.Lall	🇺🇸 USA2	154	-0.23	+0.45	+0.22	▼21
47	R.Milner	🇺🇸 USA2	154	-0.23	+0.45	+0.22	▼21
48	J.Holland	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	238	-0.09	+0.27	+0.18	▼6
49	A.Mould	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	238	-0.09	+0.27	+0.18	▼6
50	M.Lanzarotti	🇮🇹 ITALY	252	+0.15	+0.01	+0.16	▲17
51	A.Mortarotti	🇮🇹 ITALY	252	+0.15	+0.01	+0.16	▲17
52	D.Schaltz	🇩🇰 DENMARK	238	+0.07	+0.07	+0.14	▲5
53	P.Schaltz	🇩🇰 DENMARK	238	+0.07	+0.07	+0.14	▲5
54	J.Hayet	🇲🇦 MOROCCO	252	+0.01	+0.12	+0.13	▼3
55	P.Sibony	🇲🇦 MOROCCO	252	+0.01	+0.12	+0.13	▼3
56	J.Hansen	🇩🇰 DENMARK	210	+0.10	+0.03	+0.12	▲9
57	S.Schou	🇩🇰 DENMARK	210	+0.10	+0.03	+0.12	▲9
58	S.Garner	🇺🇸 USA1	168	+0.05	+0.06	+0.11	▲3
59	J.Wolfson	🇺🇸 USA1	168	+0.05	+0.06	+0.11	▲3
60	W.Fornasari	🇦🇷 ARGENTINA	210	-0.12	+0.23	+0.11	▼12
61	W.Gosschalk	🇳🇱 NETHERLANDS	196	+0.06	+0.05	+0.11	▲2
62	W.Van Eijck	🇳🇱 NETHERLANDS	196	+0.06	+0.05	+0.11	▲2
63	H.Grosvenor	🇦🇺 AUSTRALIA	224	+0.10	-0.03	+0.07	▲10
64	G.Kozakos	🇦🇺 AUSTRALIA	224	+0.10	-0.03	+0.07	▲10
65	D.Beauchamp	🇦🇺 AUSTRALIA	238	+0.09	-0.04	+0.05	▲10
66	M.Van Der Vlugt	🇦🇺 AUSTRALIA	238	+0.09	-0.04	+0.05	▲10
67	S.Bjerkset	🇳🇴 NORWAY	224	+0.05	-0.00	+0.05	▲2
68	J.Furunes	🇳🇴 NORWAY	224	+0.05	-0.00	+0.05	▲2
69	G.Cohner	🇩🇪 GERMANY	238	+0.05	-0.05	+0.00	▲10
70	C.Daehr	🇩🇪 GERMANY	238	+0.05	-0.05	+0.00	▲10
71	A.Azzam	🇪🇬 EGYPT	224	+0.11	-0.14	-0.03	▲16
72	M.El Baz	🇪🇬 EGYPT	224	+0.11	-0.14	-0.03	▲16
73	P.Bizon	🇵🇱 POLAND	196	-0.11	+0.08	-0.03	▼18
74	M.Blat	🇵🇱 POLAND	196	-0.11	+0.08	-0.03	▼18
75	R.Ling	🇭🇰 HONG KONG CHINA	238	+0.07	-0.12	-0.04	▲10
76	S.Wan	🇭🇰 HONG KONG CHINA	238	+0.07	-0.12	-0.04	▲10
77	D.Jacob	🇨🇦 CANADA	280	-0.01	-0.04	-0.05	·
78	P.Klimowicz	🇨🇦 CANADA	280	-0.01	-0.04	-0.05	·
79	R.Chamberlain	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	224	-0.08	-0.02	-0.10	▼8
80	P.Shields	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	224	-0.08	-0.02	-0.10	▼8
81	A.Belkouch	🇲🇦 MOROCCO	210	+0.07	-0.17	-0.11	▲10
82	G.Cambournac	🇲🇦 MOROCCO	210	+0.07	-0.17	-0.11	▲10
83	T.Brown	🇦🇺 AUSTRALIA	182	-0.23	+0.09	-0.14	▼30
84	I.Thomson	🇦🇺 AUSTRALIA	182	-0.23	+0.09	-0.14	▼30
85	M.Hirata	🇯🇵 JAPAN	210	-0.22	+0.07	-0.14	▼26
86	A.Omasa	🇯🇵 JAPAN	210	-0.22	+0.07	-0.14	▼26
87	M.Abaza	🇪🇬 EGYPT	238	+0.02	-0.17	-0.15	▲2
88	A.Zein	🇪🇬 EGYPT	238	+0.02	-0.17	-0.15	▲2
89	M.Abecassis	🇫🇷 FRANCE	210	-0.10	-0.06	-0.16	▼8
90	H.Vinciguerra	🇫🇷 FRANCE	210	-0.10	-0.06	-0.16	▼8
91	J.Dai	🇨🇳 CHINA	210	-0.06	-0.10	-0.16	▼8
92	Q.Li	🇨🇳 CHINA	210	-0.06	-0.10	-0.16	▼8
93	H.Camberos	🇦🇷 ARGENTINA	224	-0.00	-0.18	-0.18	·
94	J.Rueda	🇦🇷 ARGENTINA	224	-0.00	-0.18	-0.18	·
95	A.Farstad	🇳🇴 NORWAY	210	+0.18	-0.36	-0.19	▲9
96	E.Rynning	🇳🇴 NORWAY	210	+0.18	-0.36	-0.19	▲9
97	Y.Cheng	🇹🇼 CHINESE TAIPEI	210	+0.00	-0.21	-0.21	▼2
98	H.Lin	🇹🇼 CHINESE TAIPEI	210	+0.00	-0.21	-0.21	▼2
99	J.Atkinson	🇳🇿 NEW ZEALAND	224	+0.10	-0.32	-0.22	▲3
100	P.Carter	🇳🇿 NEW ZEALAND	224	+0.10	-0.32	-0.22	▲3
101	K.Chiu	🇭🇰 HONG KONG CHINA	210	+0.01	-0.25	-0.24	▼4
102	P.Yeung	🇭🇰 HONG KONG CHINA	210	+0.01	-0.25	-0.24	▼4
103	C.Lucena	🇦🇷 ARGENTINA	224	+0.04	-0.30	-0.26	▼4
104	H.Berger	🇦🇹 AUSTRIA	210	-0.04	-0.30	-0.34	▼4
105	P.Zelnik	🇦🇹 AUSTRIA	210	-0.04	-0.30	-0.34	▼4
106	M.Macri	🇦🇷 ARGENTINA	196	+0.09	-0.47	-0.38	▲8
107	P.Balakrishnan	🇮🇳 INDIA	196	+0.07	-0.48	-0.40	▲8
108	K.Ramaratnam	🇮🇳 INDIA	196	+0.07	-0.48	-0.40	▲8
109	M.Lorber	🇨🇦 CANADA	266	+0.03	-0.45	-0.42	▲1
110	Z.Marcinski	🇨🇦 CANADA	266	+0.03	-0.45	-0.42	▲1
111	D.Hanzala	🇧🇩 BANGLADESH	294	+0.07	-0.50	-0.43	▲6
112	H.Klumpp	🇩🇪 GERMANY	182	-0.04	-0.39	-0.43	▼6
113	R.Marsal	🇩🇪 GERMANY	182	-0.04	-0.39	-0.43	▼6
114	M.Hussain Atm	🇧🇩 BANGLADESH	280	+0.05	-0.54	-0.49	▲4
115	C.Chang	🇹🇼 CHINESE TAIPEI	224	+0.05	-0.54	-0.49	▲4
116	C.Chen	🇹🇼 CHINESE TAIPEI	224	+0.05	-0.54	-0.49	▲4
117	T.Imakura	🇯🇵 JAPAN	210	+0.07	-0.57	-0.50	▲6
118	K.Yamada	🇯🇵 JAPAN	210	+0.07	-0.57	-0.50	▲6
119	R.Geller	🇯🇵 JAPAN	224	-0.07	-0.45	-0.51	▼11
120	M.Ino	🇯🇵 JAPAN	224	-0.07	-0.45	-0.51	▼11
121	J.Haque	🇧🇩 BANGLADESH	294	+0.06	-0.60	-0.53	▲4
122	C.Kuo	🇹🇼 CHINESE TAIPEI	210	-0.12	-0.45	-0.58	▼10
123	C.Wu	🇹🇼 CHINESE TAIPEI	210	-0.12	-0.45	-0.58	▼10
124	O.Ludvigsen	🇳🇴 NORWAY	210	-0.02	-0.56	-0.58	▼3
125	J.Mikkelsen	🇳🇴 NORWAY	210	-0.02	-0.56	-0.58	▼3
126	S.Ahmed	🇧🇩 BANGLADESH	308	+0.09	-0.68	-0.59	▲2
127	M.Cornell	🇳🇿 NEW ZEALAND	196	+0.04	-0.78	-0.74	▲4
128	G.Tislevoll	🇳🇿 NEW ZEALAND	196	+0.04	-0.78	-0.74	▲4
129	K.Belrhiti Alaoui	🇲🇦 MOROCCO	182	-0.02	-0.73	-0.74	·
130	M.Berrada	🇲🇦 MOROCCO	182	-0.02	-0.73	-0.74	·
131	D.Crombie	🇳🇿 NEW ZEALAND	224	-0.16	-0.68	-0.84	▼5
132	N.Stuckey	🇳🇿 NEW ZEALAND	224	-0.16	-0.68	-0.84	▼5
133	J.Weng	🇨🇳 CHINA	210	+0.01	-0.89	-0.88	▲2
134	S.Zhou	🇨🇳 CHINA	210	+0.01	-0.89	-0.88	▲2
135	W.El Ahmady	🇪🇬 EGYPT	182	-0.03	-0.86	-0.89	▼2
136	A.Farrag	🇪🇬 EGYPT	182	-0.03	-0.86	-0.89	▼2
137	S.Chan	🇭🇰 HONG KONG CHINA	196	+0.00	-1.27	-1.26	·
138	K.Lung	🇭🇰 HONG KONG CHINA	196	+0.00	-1.27	-1.26	·

Stages

Statistics

Tables