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	X.Yuan	🇨🇳 CHINA	210	+1.43	+300.0
2	X.Zuo	🇨🇳 CHINA	210	+1.43	+300.0
3	F.Brown	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	210	+1.22	+256.0
4	H.Erichsen	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	210	+1.22	+256.0
5	I.Ozbay	🇹🇷 TURKIYE	238	+1.21	+289.0
6	D.Yavas	🇹🇷 TURKIYE	238	+1.21	+289.0
7	L.Bilde	🇩🇰 DENMARK	238	+1.20	+285.0
8	H.Rasmussen	🇩🇰 DENMARK	238	+1.20	+285.0
9	P.Chan	🇭🇰 HONG KONG CHINA	252	+1.15	+290.0
10	S.Tung	🇭🇰 HONG KONG CHINA	252	+1.15	+290.0
11	J.Meyers	🇺🇸 USA2	238	+1.08	+258.0
12	K.Sanborn	🇺🇸 USA2	238	+1.08	+258.0
13	J.Duursma	🇳🇱 NETHERLANDS	210	+0.98	+206.0
14	M.Ticha	🇳🇱 NETHERLANDS	210	+0.98	+206.0
15	Z.Liao	🇨🇳 CHINA	224	+0.92	+207.0
16	J.Wang	🇨🇳 CHINA	224	+0.92	+207.0
17	D.Neumann	🇦🇺 AUSTRALIA	224	+0.88	+197.0
18	J.Tutty	🇦🇺 AUSTRALIA	224	+0.88	+197.0
19	A.Fuglestad	🇳🇴 NORWAY	210	+0.87	+182.0
20	M.Harding	🇳🇴 NORWAY	210	+0.87	+182.0
21	A.Jarosz	🇵🇱 POLAND	182	+0.74	+134.0
22	E.Morawska	🇵🇱 POLAND	182	+0.74	+134.0
23	C.Baldysz	🇵🇱 POLAND	238	+0.73	+174.0
24	S.Baldysz	🇵🇱 POLAND	238	+0.73	+174.0
25	C.Golin	🇮🇹 ITALY	210	+0.66	+139.0
26	C.Pomares Y De Morant	🇮🇹 ITALY	210	+0.66	+139.0
27	M.Canonne	🇫🇷 FRANCE	238	+0.63	+149.0
28	D.Halfon	🇫🇷 FRANCE	238	+0.63	+149.0
29	M.Bruijnsteen	🇳🇱 NETHERLANDS	224	+0.60	+134.0
30	D.Van Delft	🇳🇱 NETHERLANDS	224	+0.60	+134.0
31	J.Bello	🇦🇷 ARGENTINA	196	+0.59	+116.0
32	C.Nunez	🇦🇷 ARGENTINA	196	+0.59	+116.0
33	L.Baker	🇺🇸 USA1	168	+0.56	+94.0
34	O.Schireson	🇺🇸 USA1	168	+0.56	+94.0
35	A.Sarniak	🇵🇱 POLAND	224	+0.43	+96.0
36	J.Zalewska	🇵🇱 POLAND	224	+0.43	+96.0
37	O.Seker	🇹🇷 TURKIYE	168	+0.39	+65.0
38	P.Tekir Dogan	🇹🇷 TURKIYE	168	+0.39	+65.0
39	M.Bjoerk Heed	🇸🇪 SWEDEN	196	+0.37	+72.0
40	A.Nilsson	🇸🇪 SWEDEN	196	+0.37	+72.0
41	E.Rosthoej	🇩🇰 DENMARK	182	+0.30	+55.0
42	J.Sigsgaard	🇩🇰 DENMARK	182	+0.30	+55.0
43	A.Lin	🇺🇸 USA1	238	+0.27	+64.0
44	D.Rosenberg	🇺🇸 USA1	238	+0.27	+64.0
45	R.Cooper	🇦🇺 AUSTRALIA	224	+0.26	+58.0
46	E.Jacob	🇦🇺 AUSTRALIA	224	+0.26	+58.0
47	C.Puillet	🇫🇷 FRANCE	238	+0.25	+59.0
48	A.Tartarin	🇫🇷 FRANCE	238	+0.25	+59.0
49	M.Chavarria	🇮🇹 ITALY	238	+0.20	+48.0
50	S.Paoluzi	🇮🇹 ITALY	238	+0.20	+48.0
51	A.Zalai	🇭🇺 HUNGARY	294	+0.17	+50.0
52	S.Csipka	🇭🇺 HUNGARY	210	+0.15	+31.0
53	W.Van Zwol	🇳🇱 NETHERLANDS	210	+0.14	+30.0
54	M.Verbeek	🇳🇱 NETHERLANDS	210	+0.14	+30.0
55	E.Tichy	🇭🇺 HUNGARY	294	+0.13	+37.0
56	A.Nestoridis	🇿🇦 SOUTH AFRICA	224	+0.11	+25.0
57	L.Sorensen	🇿🇦 SOUTH AFRICA	224	+0.11	+25.0
58	Y.Cao	🇨🇦 CANADA	224	+0.10	+22.0
59	J.Gong	🇨🇦 CANADA	224	+0.10	+22.0
60	T.Heskje	🇳🇴 NORWAY	224	+0.04	+10.0
61	G.Vist	🇳🇴 NORWAY	224	+0.04	+10.0
62	J.Seamon-Molson	🇺🇸 USA2	252	+0.02	+5.0
63	M.Zur-Campanile	🇺🇸 USA2	252	+0.02	+5.0
64	P.Balasubramanian	🇮🇳 INDIA	224	+0.00	+1.0
65	B.Kohli	🇮🇳 INDIA	224	+0.00	+1.0
66	M.Espinosa-Paz	🇦🇷 ARGENTINA	224	+0.00	+1.0
67	M.Previde	🇦🇷 ARGENTINA	224	+0.00	+1.0
68	M.Costa	🇮🇹 ITALY	196	-0.02	-4.0
69	E.Ruscalla	🇮🇹 ITALY	196	-0.02	-4.0
70	A.Acar	🇹🇷 TURKIYE	238	-0.04	-9.0
71	B.Erkan	🇹🇷 TURKIYE	238	-0.04	-9.0
72	F.Raza	🇵🇰 PAKISTAN	238	-0.04	-9.0
73	A.Boughey	🇳🇿 NEW ZEALAND	210	-0.05	-11.0
74	C.Richardson	🇳🇿 NEW ZEALAND	210	-0.05	-11.0
75	N.Senior	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	224	-0.06	-13.0
76	N.Smith	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	224	-0.06	-13.0
77	J.Alabaster	🇳🇿 NEW ZEALAND	210	-0.07	-15.0
78	A.Lennon	🇳🇿 NEW ZEALAND	210	-0.07	-15.0
79	S.Shi	🇺🇸 USA2	154	-0.08	-13.0
80	S.Zhang	🇺🇸 USA2	154	-0.08	-13.0
81	B.Dey	🇮🇳 INDIA	196	-0.09	-18.0
82	A.Kshirsagar	🇮🇳 INDIA	196	-0.09	-18.0
83	A.Couteaux	🇧🇪 BELGIUM	210	-0.10	-21.0
84	N.Marechal	🇧🇪 BELGIUM	210	-0.10	-21.0
85	L.Chen	🇨🇦 CANADA	224	-0.10	-23.0
86	Y.Chen	🇨🇦 CANADA	224	-0.10	-23.0
87	E.Kolesnik	🇺🇸 USA1	238	-0.11	-27.0
88	J.Stansby	🇺🇸 USA1	238	-0.11	-27.0
89	K.Guo	🇨🇳 CHINA	210	-0.16	-34.0
90	N.Wang	🇨🇳 CHINA	210	-0.16	-34.0
91	M.Kurek Beaulieu	🇫🇷 FRANCE	168	-0.19	-32.0
92	A.Leleu	🇫🇷 FRANCE	168	-0.19	-32.0
93	C.Gibbons	🇳🇿 NEW ZEALAND	224	-0.20	-45.0
94	J.Gibbons	🇳🇿 NEW ZEALAND	224	-0.20	-45.0
95	R.Agha	🇵🇰 PAKISTAN	322	-0.22	-72.0
96	J.Borg	🇸🇪 SWEDEN	224	-0.23	-51.0
97	M.Johansson	🇸🇪 SWEDEN	224	-0.23	-51.0
98	T.Demarco	🇦🇺 AUSTRALIA	196	-0.24	-47.0
99	S.Lusk	🇦🇺 AUSTRALIA	196	-0.24	-47.0
100	M.Farhani Goncalves	🇹🇳 TUNISIA	322	-0.29	-93.0
101	L.Grude	🇳🇴 NORWAY	210	-0.35	-74.0
102	B.Oigarden	🇳🇴 NORWAY	210	-0.35	-74.0
103	O.Hegedus	🇭🇺 HUNGARY	308	-0.37	-115.0
104	H.Sellami	🇹🇳 TUNISIA	266	-0.48	-127.0
105	J.Ghodhbane	🇹🇳 TUNISIA	224	-0.50	-113.0
106	S.Brock	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	210	-0.52	-110.0
107	D.Nettleton	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	210	-0.52	-110.0
108	A.Biondillo	🇧🇷 BRAZIL	210	-0.58	-121.0
109	L.Doria	🇧🇷 BRAZIL	210	-0.58	-121.0
110	D.Bilde	🇩🇰 DENMARK	224	-0.58	-130.0
111	A.Buus Thomsen	🇩🇰 DENMARK	224	-0.58	-130.0
112	J.Hegedus	🇭🇺 HUNGARY	182	-0.59	-107.0
113	M.Stas	🇧🇪 BELGIUM	224	-0.59	-132.0
114	C.Vandenbossche	🇧🇪 BELGIUM	224	-0.59	-132.0
115	L.Menezes	🇧🇷 BRAZIL	210	-0.59	-124.0
116	A.Vidigal	🇧🇷 BRAZIL	210	-0.59	-124.0
117	N.Landa	🇹🇳 TUNISIA	224	-0.65	-145.0
118	L.Hallqvist	🇸🇪 SWEDEN	224	-0.65	-146.0
119	Y.Johansson	🇸🇪 SWEDEN	224	-0.65	-146.0
120	P.Batra	🇮🇳 INDIA	224	-0.67	-149.0
121	A.Sharma	🇮🇳 INDIA	224	-0.67	-149.0
122	V.Armstrong	🇿🇦 SOUTH AFRICA	210	-0.67	-140.0
123	C.Stanton	🇿🇦 SOUTH AFRICA	210	-0.67	-140.0
124	S.Cauwels	🇧🇪 BELGIUM	210	-0.83	-174.0
125	B.Uskup	🇧🇪 BELGIUM	210	-0.83	-174.0
126	C.Booth	🇭🇰 HONG KONG CHINA	154	-0.83	-128.0
127	S.Li	🇭🇰 HONG KONG CHINA	154	-0.83	-128.0
128	M.Falk	🇧🇷 BRAZIL	224	-0.92	-207.0
129	L.Ferreira	🇧🇷 BRAZIL	224	-0.92	-207.0
130	S.Bamboat	🇵🇰 PAKISTAN	210	-0.94	-198.0
131	F.Trabelsi	🇹🇳 TUNISIA	252	-0.94	-238.0
132	R.Bernstein	🇿🇦 SOUTH AFRICA	210	-1.05	-221.0
133	S.Lang	🇿🇦 SOUTH AFRICA	210	-1.05	-221.0
134	E.Alegre	🇦🇷 ARGENTINA	224	-1.05	-236.0
135	F.Herrera	🇦🇷 ARGENTINA	224	-1.05	-236.0
136	W.Chen	🇨🇦 CANADA	196	-1.28	-251.0
137	X.Hong	🇨🇦 CANADA	196	-1.28	-251.0
138	K.Cheung	🇭🇰 HONG KONG CHINA	238	-1.49	-354.0
139	H.Yeung	🇭🇰 HONG KONG CHINA	238	-1.49	-354.0
140	R.Saigol	🇵🇰 PAKISTAN	308	-1.58	-488.0
141	S.Raza	🇵🇰 PAKISTAN	210	-1.60	-335.0

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	S.Shi	🇺🇸 USA2	39	92.3%	0.10
2	W.Chen	🇨🇦 CANADA	51	92.2%	0.10
3	D.Yavas	🇹🇷 TURKIYE	64	92.2%	0.12
4	H.Rasmussen	🇩🇰 DENMARK	56	91.1%	0.11
5	M.Johansson	🇸🇪 SWEDEN	53	90.6%	0.11
6	C.Vandenbossche	🇧🇪 BELGIUM	59	89.8%	0.12
7	K.Guo	🇨🇳 CHINA	29	89.7%	0.10
8	A.Acar	🇹🇷 TURKIYE	48	89.6%	0.15
9	M.Kurek Beaulieu	🇫🇷 FRANCE	38	89.5%	0.10
10	S.Tung	🇭🇰 HONG KONG CHINA	74	89.2%	0.12
11	Y.Chen	🇨🇦 CANADA	46	89.1%	0.15
12	S.Brock	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	43	88.4%	0.12
13	N.Landa	🇹🇳 TUNISIA	59	88.1%	0.12
14	P.Batra	🇮🇳 INDIA	49	87.8%	0.14
15	B.Erkan	🇹🇷 TURKIYE	57	87.7%	0.19
16	A.Biondillo	🇧🇷 BRAZIL	48	87.5%	0.15
17	M.Verbeek	🇳🇱 NETHERLANDS	47	87.2%	0.15
18	K.Sanborn	🇺🇸 USA2	62	87.1%	0.16
19	D.Rosenberg	🇺🇸 USA1	54	87.0%	0.13
20	I.Ozbay	🇹🇷 TURKIYE	53	86.8%	0.15
21	H.Sellami	🇹🇳 TUNISIA	67	86.6%	0.15
22	M.Costa	🇮🇹 ITALY	44	86.4%	0.20
23	N.Senior	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	49	85.7%	0.18
24	A.Nestoridis	🇿🇦 SOUTH AFRICA	69	85.5%	0.16
25	B.Dey	🇮🇳 INDIA	55	85.5%	0.20
26	S.Zhang	🇺🇸 USA2	41	85.4%	0.17
27	D.Nettleton	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	48	85.4%	0.19
28	C.Gibbons	🇳🇿 NEW ZEALAND	61	85.2%	0.16
29	A.Sharma	🇮🇳 INDIA	61	85.2%	0.20
30	L.Menezes	🇧🇷 BRAZIL	54	85.2%	0.20
31	F.Raza	🇵🇰 PAKISTAN	60	85.0%	0.18
32	Z.Liao	🇨🇳 CHINA	53	84.9%	0.19
33	L.Baker	🇺🇸 USA1	46	84.8%	0.17
34	L.Sorensen	🇿🇦 SOUTH AFRICA	59	84.7%	0.17
35	J.Stansby	🇺🇸 USA1	59	84.7%	0.20
36	A.Nilsson	🇸🇪 SWEDEN	59	84.7%	0.22
37	O.Schireson	🇺🇸 USA1	39	84.6%	0.15
38	A.Kshirsagar	🇮🇳 INDIA	50	84.0%	0.22
39	M.Previde	🇦🇷 ARGENTINA	62	83.9%	0.21
40	N.Wang	🇨🇳 CHINA	62	83.9%	0.23
41	J.Bello	🇦🇷 ARGENTINA	68	83.8%	0.19
42	S.Lusk	🇦🇺 AUSTRALIA	43	83.7%	0.21
43	S.Li	🇭🇰 HONG KONG CHINA	42	83.3%	0.17
44	P.Chan	🇭🇰 HONG KONG CHINA	66	83.3%	0.18
45	J.Gibbons	🇳🇿 NEW ZEALAND	54	83.3%	0.18
46	A.Leleu	🇫🇷 FRANCE	36	83.3%	0.19
47	C.Puillet	🇫🇷 FRANCE	60	83.3%	0.22
48	T.Demarco	🇦🇺 AUSTRALIA	36	83.3%	0.22
49	S.Csipka	🇭🇺 HUNGARY	54	83.3%	0.26
50	A.Tartarin	🇫🇷 FRANCE	47	83.0%	0.17
51	A.Boughey	🇳🇿 NEW ZEALAND	47	83.0%	0.21
52	F.Herrera	🇦🇷 ARGENTINA	47	83.0%	0.26
53	S.Raza	🇵🇰 PAKISTAN	41	82.9%	0.20
54	J.Seamon-Molson	🇺🇸 USA2	58	82.8%	0.19
55	A.Fuglestad	🇳🇴 NORWAY	52	82.7%	0.21
56	R.Bernstein	🇿🇦 SOUTH AFRICA	56	82.1%	0.25
57	W.Van Zwol	🇳🇱 NETHERLANDS	50	82.0%	0.30
58	E.Rosthoej	🇩🇰 DENMARK	33	81.8%	0.30
59	F.Trabelsi	🇹🇳 TUNISIA	71	81.7%	0.25
60	Y.Cao	🇨🇦 CANADA	54	81.5%	0.20
61	E.Kolesnik	🇺🇸 USA1	53	81.1%	0.19
62	J.Zalewska	🇵🇱 POLAND	63	81.0%	0.21
63	X.Zuo	🇨🇳 CHINA	58	81.0%	0.24
64	C.Pomares Y De Morant	🇮🇹 ITALY	58	81.0%	0.29
65	R.Cooper	🇦🇺 AUSTRALIA	63	81.0%	0.32
66	A.Jarosz	🇵🇱 POLAND	47	80.9%	0.19
67	C.Baldysz	🇵🇱 POLAND	68	80.9%	0.25
68	C.Nunez	🇦🇷 ARGENTINA	47	80.9%	0.32
69	X.Yuan	🇨🇳 CHINA	52	80.8%	0.21
70	L.Bilde	🇩🇰 DENMARK	78	80.8%	0.23
71	L.Chen	🇨🇦 CANADA	56	80.4%	0.21
72	A.Buus Thomsen	🇩🇰 DENMARK	56	80.4%	0.23
73	E.Morawska	🇵🇱 POLAND	46	80.4%	0.24
74	J.Tutty	🇦🇺 AUSTRALIA	60	80.0%	0.23
75	S.Baldysz	🇵🇱 POLAND	60	80.0%	0.25
76	C.Stanton	🇿🇦 SOUTH AFRICA	45	80.0%	0.27
77	D.Neumann	🇦🇺 AUSTRALIA	70	80.0%	0.27
78	J.Gong	🇨🇦 CANADA	59	79.7%	0.24
79	L.Ferreira	🇧🇷 BRAZIL	59	79.7%	0.24
80	B.Kohli	🇮🇳 INDIA	59	79.7%	0.25
81	E.Tichy	🇭🇺 HUNGARY	69	79.7%	0.26
82	M.Canonne	🇫🇷 FRANCE	49	79.6%	0.24
83	M.Zur-Campanile	🇺🇸 USA2	49	79.6%	0.33
84	N.Smith	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	63	79.4%	0.25
85	M.Stas	🇧🇪 BELGIUM	58	79.3%	0.29
86	Y.Johansson	🇸🇪 SWEDEN	57	78.9%	0.25
87	D.Van Delft	🇳🇱 NETHERLANDS	66	78.8%	0.26
88	J.Hegedus	🇭🇺 HUNGARY	47	78.7%	0.23
89	J.Wang	🇨🇳 CHINA	61	78.7%	0.25
90	T.Heskje	🇳🇴 NORWAY	61	78.7%	0.26
91	R.Saigol	🇵🇰 PAKISTAN	70	78.6%	0.31
92	A.Couteaux	🇧🇪 BELGIUM	51	78.4%	0.22
93	B.Oigarden	🇳🇴 NORWAY	51	78.4%	0.23
94	M.Ticha	🇳🇱 NETHERLANDS	55	78.2%	0.26
95	A.Zalai	🇭🇺 HUNGARY	78	78.2%	0.28
96	M.Falk	🇧🇷 BRAZIL	59	78.0%	0.25
97	J.Duursma	🇳🇱 NETHERLANDS	54	77.8%	0.28
98	E.Alegre	🇦🇷 ARGENTINA	53	77.4%	0.26
99	J.Alabaster	🇳🇿 NEW ZEALAND	53	77.4%	0.32
100	A.Lennon	🇳🇿 NEW ZEALAND	53	77.4%	0.32
101	C.Golin	🇮🇹 ITALY	66	77.3%	0.29
102	M.Espinosa-Paz	🇦🇷 ARGENTINA	48	77.1%	0.25
103	M.Bruijnsteen	🇳🇱 NETHERLANDS	60	76.7%	0.25
104	F.Brown	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	60	76.7%	0.27
105	L.Grude	🇳🇴 NORWAY	43	76.7%	0.28
106	S.Paoluzi	🇮🇹 ITALY	51	76.5%	0.23
107	L.Hallqvist	🇸🇪 SWEDEN	51	76.5%	0.28
108	J.Ghodhbane	🇹🇳 TUNISIA	51	76.5%	0.28
109	A.Lin	🇺🇸 USA1	55	76.4%	0.34
110	D.Halfon	🇫🇷 FRANCE	67	76.1%	0.30
111	V.Armstrong	🇿🇦 SOUTH AFRICA	54	75.9%	0.24
112	L.Doria	🇧🇷 BRAZIL	54	75.9%	0.32
113	K.Cheung	🇭🇰 HONG KONG CHINA	58	75.9%	0.34
114	C.Booth	🇭🇰 HONG KONG CHINA	33	75.8%	0.27
115	M.Harding	🇳🇴 NORWAY	62	75.8%	0.32
116	P.Tekir Dogan	🇹🇷 TURKIYE	37	75.7%	0.27
117	O.Seker	🇹🇷 TURKIYE	45	75.6%	0.27
118	S.Bamboat	🇵🇰 PAKISTAN	53	75.5%	0.30
119	D.Bilde	🇩🇰 DENMARK	61	75.4%	0.34
120	J.Sigsgaard	🇩🇰 DENMARK	32	75.0%	0.28
121	H.Erichsen	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	56	75.0%	0.29
122	N.Marechal	🇧🇪 BELGIUM	52	75.0%	0.31
123	S.Lang	🇿🇦 SOUTH AFRICA	56	75.0%	0.38
124	O.Hegedus	🇭🇺 HUNGARY	79	74.7%	0.27
125	A.Vidigal	🇧🇷 BRAZIL	54	74.1%	0.33
126	R.Agha	🇵🇰 PAKISTAN	92	73.9%	0.32
127	G.Vist	🇳🇴 NORWAY	53	73.6%	0.34
128	J.Meyers	🇺🇸 USA2	68	73.5%	0.34
129	C.Richardson	🇳🇿 NEW ZEALAND	62	72.6%	0.32
130	B.Uskup	🇧🇪 BELGIUM	54	72.2%	0.35
131	E.Jacob	🇦🇺 AUSTRALIA	49	71.4%	0.33
132	X.Hong	🇨🇦 CANADA	49	71.4%	0.33
133	M.Bjoerk Heed	🇸🇪 SWEDEN	56	71.4%	0.36
134	M.Farhani Goncalves	🇹🇳 TUNISIA	76	71.1%	0.33
135	A.Sarniak	🇵🇱 POLAND	45	71.1%	0.49
136	J.Borg	🇸🇪 SWEDEN	55	70.9%	0.40
137	P.Balasubramanian	🇮🇳 INDIA	54	70.4%	0.37
138	H.Yeung	🇭🇰 HONG KONG CHINA	64	70.3%	0.44
139	E.Ruscalla	🇮🇹 ITALY	63	69.8%	0.40
140	S.Cauwels	🇧🇪 BELGIUM	46	69.6%	0.33
141	M.Chavarria	🇮🇹 ITALY	48	68.8%	0.35

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	K.Sanborn	🇺🇸 USA2	53	86.8%	0.13
2	X.Zuo	🇨🇳 CHINA	45	86.7%	0.18
3	L.Bilde	🇩🇰 DENMARK	56	85.7%	0.16
4	Y.Johansson	🇸🇪 SWEDEN	49	85.7%	0.18
5	S.Shi	🇺🇸 USA2	40	85.0%	0.20
6	M.Harding	🇳🇴 NORWAY	40	85.0%	0.23
7	J.Wang	🇨🇳 CHINA	50	84.0%	0.28
8	A.Boughey	🇳🇿 NEW ZEALAND	49	83.7%	0.16
9	A.Sarniak	🇵🇱 POLAND	61	83.6%	0.23
10	M.Kurek Beaulieu	🇫🇷 FRANCE	52	82.7%	0.23
11	D.Rosenberg	🇺🇸 USA1	69	82.6%	0.22
12	E.Tichy	🇭🇺 HUNGARY	74	82.4%	0.20
13	J.Zalewska	🇵🇱 POLAND	55	81.8%	0.26
14	A.Biondillo	🇧🇷 BRAZIL	58	81.0%	0.21
15	C.Baldysz	🇵🇱 POLAND	58	81.0%	0.22
16	S.Baldysz	🇵🇱 POLAND	52	80.8%	0.19
17	C.Golin	🇮🇹 ITALY	36	80.6%	0.22
18	D.Halfon	🇫🇷 FRANCE	77	80.5%	0.23
19	J.Gibbons	🇳🇿 NEW ZEALAND	56	80.4%	0.25
20	E.Rosthoej	🇩🇰 DENMARK	56	80.4%	0.29
21	M.Zur-Campanile	🇺🇸 USA2	65	80.0%	0.23
22	A.Acar	🇹🇷 TURKIYE	64	79.7%	0.25
23	D.Bilde	🇩🇰 DENMARK	59	79.7%	0.25
24	H.Yeung	🇭🇰 HONG KONG CHINA	54	79.6%	0.24
25	A.Buus Thomsen	🇩🇰 DENMARK	48	79.2%	0.25
26	M.Johansson	🇸🇪 SWEDEN	62	79.0%	0.24
27	A.Nilsson	🇸🇪 SWEDEN	38	78.9%	0.21
28	J.Bello	🇦🇷 ARGENTINA	38	78.9%	0.29
29	A.Tartarin	🇫🇷 FRANCE	75	78.7%	0.29
30	J.Sigsgaard	🇩🇰 DENMARK	61	78.7%	0.29
31	K.Guo	🇨🇳 CHINA	61	78.7%	0.29
32	B.Oigarden	🇳🇴 NORWAY	56	78.6%	0.27
33	N.Smith	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	56	78.6%	0.30
34	V.Armstrong	🇿🇦 SOUTH AFRICA	51	78.4%	0.29
35	L.Grude	🇳🇴 NORWAY	60	78.3%	0.22
36	J.Meyers	🇺🇸 USA2	55	78.2%	0.27
37	C.Pomares Y De Morant	🇮🇹 ITALY	50	78.0%	0.24
38	L.Sorensen	🇿🇦 SOUTH AFRICA	50	78.0%	0.38
39	F.Brown	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	54	77.8%	0.26
40	N.Wang	🇨🇳 CHINA	58	77.6%	0.22
41	O.Schireson	🇺🇸 USA1	49	77.6%	0.35
42	H.Erichsen	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	40	77.5%	0.25
43	J.Seamon-Molson	🇺🇸 USA2	80	77.5%	0.30
44	O.Seker	🇹🇷 TURKIYE	44	77.3%	0.32
45	M.Previde	🇦🇷 ARGENTINA	57	77.2%	0.32
46	J.Duursma	🇳🇱 NETHERLANDS	48	77.1%	0.31
47	A.Zalai	🇭🇺 HUNGARY	70	77.1%	0.31
48	S.Lusk	🇦🇺 AUSTRALIA	48	77.1%	0.33
49	S.Cauwels	🇧🇪 BELGIUM	48	77.1%	0.33
50	D.Yavas	🇹🇷 TURKIYE	61	77.0%	0.26
51	B.Kohli	🇮🇳 INDIA	52	76.9%	0.27
52	N.Senior	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	56	76.8%	0.23
53	J.Tutty	🇦🇺 AUSTRALIA	43	76.7%	0.28
54	D.Neumann	🇦🇺 AUSTRALIA	51	76.5%	0.29
55	L.Baker	🇺🇸 USA1	34	76.5%	0.32
56	S.Tung	🇭🇰 HONG KONG CHINA	55	76.4%	0.31
57	P.Tekir Dogan	🇹🇷 TURKIYE	42	76.2%	0.29
58	A.Kshirsagar	🇮🇳 INDIA	42	76.2%	0.33
59	D.Van Delft	🇳🇱 NETHERLANDS	46	76.1%	0.28
60	L.Doria	🇧🇷 BRAZIL	50	76.0%	0.28
61	R.Cooper	🇦🇺 AUSTRALIA	54	75.9%	0.28
62	A.Jarosz	🇵🇱 POLAND	54	75.9%	0.32
63	J.Borg	🇸🇪 SWEDEN	54	75.9%	0.32
64	M.Ticha	🇳🇱 NETHERLANDS	53	75.5%	0.32
65	W.Van Zwol	🇳🇱 NETHERLANDS	57	75.4%	0.30
66	A.Lin	🇺🇸 USA1	60	75.0%	0.25
67	E.Kolesnik	🇺🇸 USA1	68	75.0%	0.27
68	M.Bruijnsteen	🇳🇱 NETHERLANDS	52	75.0%	0.29
69	M.Chavarria	🇮🇹 ITALY	68	75.0%	0.29
70	C.Puillet	🇫🇷 FRANCE	56	75.0%	0.32
71	H.Rasmussen	🇩🇰 DENMARK	48	75.0%	0.33
72	C.Stanton	🇿🇦 SOUTH AFRICA	60	75.0%	0.33
73	F.Raza	🇵🇰 PAKISTAN	60	75.0%	0.38
74	X.Yuan	🇨🇳 CHINA	55	74.5%	0.31
75	M.Costa	🇮🇹 ITALY	39	74.4%	0.28
76	R.Agha	🇵🇰 PAKISTAN	82	74.4%	0.38
77	E.Morawska	🇵🇱 POLAND	35	74.3%	0.34
78	A.Couteaux	🇧🇪 BELGIUM	54	74.1%	0.28
79	L.Ferreira	🇧🇷 BRAZIL	58	74.1%	0.36
80	B.Erkan	🇹🇷 TURKIYE	69	73.9%	0.32
81	T.Demarco	🇦🇺 AUSTRALIA	69	73.9%	0.33
82	P.Chan	🇭🇰 HONG KONG CHINA	57	73.7%	0.28
83	A.Sharma	🇮🇳 INDIA	76	73.7%	0.33
84	B.Dey	🇮🇳 INDIA	49	73.5%	0.29
85	S.Brock	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	68	73.5%	0.31
86	L.Menezes	🇧🇷 BRAZIL	49	73.5%	0.39
87	I.Ozbay	🇹🇷 TURKIYE	60	73.3%	0.27
88	M.Canonne	🇫🇷 FRANCE	45	73.3%	0.36
89	M.Verbeek	🇳🇱 NETHERLANDS	56	73.2%	0.27
90	S.Paoluzi	🇮🇹 ITALY	71	73.2%	0.34
91	J.Gong	🇨🇦 CANADA	54	72.2%	0.39
92	C.Booth	🇭🇰 HONG KONG CHINA	43	72.1%	0.35
93	M.Bjoerk Heed	🇸🇪 SWEDEN	43	72.1%	0.37
94	O.Hegedus	🇭🇺 HUNGARY	82	72.0%	0.33
95	G.Vist	🇳🇴 NORWAY	53	71.7%	0.34
96	N.Marechal	🇧🇪 BELGIUM	53	71.7%	0.36
97	A.Nestoridis	🇿🇦 SOUTH AFRICA	46	71.7%	0.50
98	E.Alegre	🇦🇷 ARGENTINA	59	71.2%	0.34
99	C.Richardson	🇳🇿 NEW ZEALAND	52	71.2%	0.35
100	P.Balasubramanian	🇮🇳 INDIA	59	71.2%	0.36
101	B.Uskup	🇧🇪 BELGIUM	62	71.0%	0.35
102	J.Ghodhbane	🇹🇳 TUNISIA	51	70.6%	0.33
103	H.Sellami	🇹🇳 TUNISIA	78	70.5%	0.40
104	C.Nunez	🇦🇷 ARGENTINA	43	69.8%	0.47
105	S.Li	🇭🇰 HONG KONG CHINA	36	69.4%	0.36
106	K.Cheung	🇭🇰 HONG KONG CHINA	62	69.4%	0.37
107	J.Alabaster	🇳🇿 NEW ZEALAND	62	69.4%	0.39
108	A.Lennon	🇳🇿 NEW ZEALAND	42	69.0%	0.38
109	A.Leleu	🇫🇷 FRANCE	42	69.0%	0.43
110	W.Chen	🇨🇦 CANADA	35	68.6%	0.34
111	M.Farhani Goncalves	🇹🇳 TUNISIA	92	68.5%	0.42
112	Y.Cao	🇨🇦 CANADA	57	68.4%	0.37
113	T.Heskje	🇳🇴 NORWAY	57	68.4%	0.44
114	Z.Liao	🇨🇳 CHINA	60	68.3%	0.37
115	E.Ruscalla	🇮🇹 ITALY	50	68.0%	0.38
116	A.Fuglestad	🇳🇴 NORWAY	56	67.9%	0.41
117	A.Vidigal	🇧🇷 BRAZIL	53	67.9%	0.45
118	J.Hegedus	🇭🇺 HUNGARY	37	67.6%	0.43
119	S.Raza	🇵🇰 PAKISTAN	52	67.3%	0.42
120	L.Hallqvist	🇸🇪 SWEDEN	67	67.2%	0.37
121	L.Chen	🇨🇦 CANADA	61	67.2%	0.39
122	Y.Chen	🇨🇦 CANADA	61	67.2%	0.41
123	J.Stansby	🇺🇸 USA1	58	67.2%	0.43
124	M.Stas	🇧🇪 BELGIUM	48	66.7%	0.40
125	F.Trabelsi	🇹🇳 TUNISIA	54	66.7%	0.44
126	D.Nettleton	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	51	66.7%	0.47
127	S.Zhang	🇺🇸 USA2	34	64.7%	0.50
128	N.Landa	🇹🇳 TUNISIA	45	64.4%	0.44
129	M.Espinosa-Paz	🇦🇷 ARGENTINA	57	63.2%	0.42
130	C.Vandenbossche	🇧🇪 BELGIUM	59	62.7%	0.41
131	E.Jacob	🇦🇺 AUSTRALIA	58	62.1%	0.41
132	S.Bamboat	🇵🇰 PAKISTAN	58	62.1%	0.57
133	F.Herrera	🇦🇷 ARGENTINA	65	61.5%	0.52
134	S.Csipka	🇭🇺 HUNGARY	54	61.1%	0.43
135	P.Batra	🇮🇳 INDIA	38	60.5%	0.50
136	X.Hong	🇨🇦 CANADA	61	59.0%	0.59
137	M.Falk	🇧🇷 BRAZIL	48	58.3%	0.46
138	S.Lang	🇿🇦 SOUTH AFRICA	43	58.1%	0.58
139	R.Saigol	🇵🇰 PAKISTAN	76	57.9%	0.62
140	C.Gibbons	🇳🇿 NEW ZEALAND	53	54.7%	0.60
141	R.Bernstein	🇿🇦 SOUTH AFRICA	55	54.5%	0.55

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	T.Demarco	🇦🇺 AUSTRALIA	79	92.4%	0.09
2	S.Lusk	🇦🇺 AUSTRALIA	79	92.4%	0.09
3	A.Fuglestad	🇳🇴 NORWAY	114	92.1%	0.09
4	M.Harding	🇳🇴 NORWAY	114	92.1%	0.09
5	A.Lin	🇺🇸 USA1	109	91.7%	0.09
6	D.Rosenberg	🇺🇸 USA1	109	91.7%	0.09
7	J.Meyers	🇺🇸 USA2	130	91.5%	0.12
8	K.Sanborn	🇺🇸 USA2	130	91.5%	0.12
9	P.Balasubramanian	🇮🇳 INDIA	113	91.2%	0.09
10	B.Kohli	🇮🇳 INDIA	113	91.2%	0.09
11	C.Golin	🇮🇹 ITALY	124	90.3%	0.11
12	C.Pomares Y De Morant	🇮🇹 ITALY	124	90.3%	0.11
13	J.Borg	🇸🇪 SWEDEN	108	89.8%	0.10
14	M.Johansson	🇸🇪 SWEDEN	108	89.8%	0.10
15	L.Hallqvist	🇸🇪 SWEDEN	108	89.8%	0.15
16	Y.Johansson	🇸🇪 SWEDEN	108	89.8%	0.15
17	C.Puillet	🇫🇷 FRANCE	107	89.7%	0.11
18	A.Tartarin	🇫🇷 FRANCE	107	89.7%	0.11
19	J.Seamon-Molson	🇺🇸 USA2	107	89.7%	0.12
20	M.Zur-Campanile	🇺🇸 USA2	107	89.7%	0.12
21	Z.Liao	🇨🇳 CHINA	114	89.5%	0.10
22	J.Wang	🇨🇳 CHINA	114	89.5%	0.10
23	L.Grude	🇳🇴 NORWAY	94	89.4%	0.14
24	B.Oigarden	🇳🇴 NORWAY	94	89.4%	0.14
25	C.Booth	🇭🇰 HONG KONG CHINA	75	89.3%	0.11
26	S.Li	🇭🇰 HONG KONG CHINA	75	89.3%	0.11
27	P.Chan	🇭🇰 HONG KONG CHINA	140	89.3%	0.12
28	S.Tung	🇭🇰 HONG KONG CHINA	140	89.3%	0.12
29	M.Kurek Beaulieu	🇫🇷 FRANCE	74	89.2%	0.16
30	A.Leleu	🇫🇷 FRANCE	74	89.2%	0.16
31	A.Boughey	🇳🇿 NEW ZEALAND	109	89.0%	0.12
32	C.Richardson	🇳🇿 NEW ZEALAND	109	89.0%	0.12
33	E.Alegre	🇦🇷 ARGENTINA	100	89.0%	0.17
34	F.Herrera	🇦🇷 ARGENTINA	100	89.0%	0.17
35	M.Chavarria	🇮🇹 ITALY	99	88.9%	0.12
36	S.Paoluzi	🇮🇹 ITALY	99	88.9%	0.12
37	A.Acar	🇹🇷 TURKIYE	105	88.6%	0.11
38	B.Erkan	🇹🇷 TURKIYE	105	88.6%	0.11
39	A.Couteaux	🇧🇪 BELGIUM	103	88.3%	0.12
40	N.Marechal	🇧🇪 BELGIUM	103	88.3%	0.12
41	A.Sarniak	🇵🇱 POLAND	108	88.0%	0.13
42	J.Zalewska	🇵🇱 POLAND	108	88.0%	0.13
43	I.Ozbay	🇹🇷 TURKIYE	117	88.0%	0.14
44	D.Yavas	🇹🇷 TURKIYE	117	88.0%	0.14
45	K.Guo	🇨🇳 CHINA	91	87.9%	0.12
46	N.Wang	🇨🇳 CHINA	91	87.9%	0.12
47	S.Brock	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	91	87.9%	0.14
48	D.Nettleton	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	91	87.9%	0.14
49	J.Alabaster	🇳🇿 NEW ZEALAND	106	87.7%	0.15
50	A.Lennon	🇳🇿 NEW ZEALAND	106	87.7%	0.15
51	M.Bruijnsteen	🇳🇱 NETHERLANDS	126	87.3%	0.14
52	D.Van Delft	🇳🇱 NETHERLANDS	126	87.3%	0.14
53	D.Bilde	🇩🇰 DENMARK	117	87.2%	0.14
54	A.Buus Thomsen	🇩🇰 DENMARK	117	87.2%	0.14
55	L.Baker	🇺🇸 USA1	85	87.1%	0.13
56	O.Schireson	🇺🇸 USA1	85	87.1%	0.13
57	A.Jarosz	🇵🇱 POLAND	93	87.1%	0.17
58	E.Morawska	🇵🇱 POLAND	93	87.1%	0.17
59	M.Costa	🇮🇹 ITALY	107	86.9%	0.13
60	E.Ruscalla	🇮🇹 ITALY	107	86.9%	0.13
61	T.Heskje	🇳🇴 NORWAY	114	86.8%	0.13
62	G.Vist	🇳🇴 NORWAY	114	86.8%	0.13
63	L.Bilde	🇩🇰 DENMARK	134	86.6%	0.15
64	H.Rasmussen	🇩🇰 DENMARK	134	86.6%	0.15
65	M.Canonne	🇫🇷 FRANCE	116	86.2%	0.17
66	D.Halfon	🇫🇷 FRANCE	116	86.2%	0.17
67	S.Cauwels	🇧🇪 BELGIUM	100	86.0%	0.15
68	B.Uskup	🇧🇪 BELGIUM	100	86.0%	0.15
69	N.Senior	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	112	85.7%	0.16
70	N.Smith	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	112	85.7%	0.16
71	W.Van Zwol	🇳🇱 NETHERLANDS	97	85.6%	0.17
72	M.Verbeek	🇳🇱 NETHERLANDS	97	85.6%	0.17
73	X.Yuan	🇨🇳 CHINA	110	85.5%	0.15
74	X.Zuo	🇨🇳 CHINA	110	85.5%	0.15
75	F.Raza	🇵🇰 PAKISTAN	124	85.5%	0.22
76	O.Seker	🇹🇷 TURKIYE	82	85.4%	0.16
77	P.Tekir Dogan	🇹🇷 TURKIYE	82	85.4%	0.16
78	D.Neumann	🇦🇺 AUSTRALIA	130	85.4%	0.18
79	J.Tutty	🇦🇺 AUSTRALIA	130	85.4%	0.18
80	J.Bello	🇦🇷 ARGENTINA	115	85.2%	0.16
81	C.Nunez	🇦🇷 ARGENTINA	115	85.2%	0.16
82	A.Zalai	🇭🇺 HUNGARY	152	84.9%	0.17
83	R.Agha	🇵🇰 PAKISTAN	166	84.9%	0.21
84	E.Kolesnik	🇺🇸 USA1	112	84.8%	0.17
85	J.Stansby	🇺🇸 USA1	112	84.8%	0.17
86	E.Rosthoej	🇩🇰 DENMARK	65	84.6%	0.15
87	J.Sigsgaard	🇩🇰 DENMARK	65	84.6%	0.15
88	J.Hegedus	🇭🇺 HUNGARY	91	84.6%	0.18
89	M.Espinosa-Paz	🇦🇷 ARGENTINA	110	84.5%	0.20
90	M.Previde	🇦🇷 ARGENTINA	110	84.5%	0.20
91	J.Duursma	🇳🇱 NETHERLANDS	109	84.4%	0.17
92	M.Ticha	🇳🇱 NETHERLANDS	109	84.4%	0.17
93	C.Baldysz	🇵🇱 POLAND	128	84.4%	0.18
94	S.Baldysz	🇵🇱 POLAND	128	84.4%	0.18
95	L.Menezes	🇧🇷 BRAZIL	108	84.3%	0.19
96	A.Vidigal	🇧🇷 BRAZIL	108	84.3%	0.19
97	A.Biondillo	🇧🇷 BRAZIL	102	84.3%	0.23
98	L.Doria	🇧🇷 BRAZIL	102	84.3%	0.23
99	Y.Cao	🇨🇦 CANADA	113	84.1%	0.20
100	J.Gong	🇨🇦 CANADA	113	84.1%	0.20
101	R.Cooper	🇦🇺 AUSTRALIA	112	83.9%	0.20
102	E.Jacob	🇦🇺 AUSTRALIA	112	83.9%	0.20
103	V.Armstrong	🇿🇦 SOUTH AFRICA	99	83.8%	0.17
104	C.Stanton	🇿🇦 SOUTH AFRICA	99	83.8%	0.17
105	S.Raza	🇵🇰 PAKISTAN	98	83.7%	0.20
106	F.Brown	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	116	83.6%	0.18
107	H.Erichsen	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	116	83.6%	0.18
108	K.Cheung	🇭🇰 HONG KONG CHINA	122	83.6%	0.19
109	H.Yeung	🇭🇰 HONG KONG CHINA	122	83.6%	0.19
110	E.Tichy	🇭🇺 HUNGARY	147	83.0%	0.20
111	A.Nestoridis	🇿🇦 SOUTH AFRICA	128	82.8%	0.19
112	L.Sorensen	🇿🇦 SOUTH AFRICA	128	82.8%	0.19
113	C.Gibbons	🇳🇿 NEW ZEALAND	115	82.6%	0.20
114	J.Gibbons	🇳🇿 NEW ZEALAND	115	82.6%	0.20
115	M.Bjoerk Heed	🇸🇪 SWEDEN	115	82.6%	0.21
116	A.Nilsson	🇸🇪 SWEDEN	115	82.6%	0.21
117	O.Hegedus	🇭🇺 HUNGARY	160	82.5%	0.21
118	M.Stas	🇧🇪 BELGIUM	117	82.1%	0.21
119	C.Vandenbossche	🇧🇪 BELGIUM	117	82.1%	0.21
120	B.Dey	🇮🇳 INDIA	105	81.9%	0.22
121	A.Kshirsagar	🇮🇳 INDIA	105	81.9%	0.22
122	R.Saigol	🇵🇰 PAKISTAN	141	80.9%	0.24
123	S.Csipka	🇭🇺 HUNGARY	104	80.8%	0.24
124	J.Ghodhbane	🇹🇳 TUNISIA	100	80.0%	0.21
125	L.Chen	🇨🇦 CANADA	102	79.4%	0.23
126	Y.Chen	🇨🇦 CANADA	102	79.4%	0.23
127	M.Farhani Goncalves	🇹🇳 TUNISIA	157	79.0%	0.23
128	S.Bamboat	🇵🇰 PAKISTAN	103	78.6%	0.25
129	P.Batra	🇮🇳 INDIA	110	77.3%	0.29
130	A.Sharma	🇮🇳 INDIA	110	77.3%	0.29
131	H.Sellami	🇹🇳 TUNISIA	136	77.2%	0.25
132	R.Bernstein	🇿🇦 SOUTH AFRICA	112	76.8%	0.25
133	S.Lang	🇿🇦 SOUTH AFRICA	112	76.8%	0.25
134	S.Shi	🇺🇸 USA2	80	76.2%	0.29
135	S.Zhang	🇺🇸 USA2	80	76.2%	0.29
136	W.Chen	🇨🇦 CANADA	100	76.0%	0.31
137	X.Hong	🇨🇦 CANADA	100	76.0%	0.31
138	M.Falk	🇧🇷 BRAZIL	118	75.4%	0.28
139	L.Ferreira	🇧🇷 BRAZIL	118	75.4%	0.28
140	N.Landa	🇹🇳 TUNISIA	120	75.0%	0.31
141	F.Trabelsi	🇹🇳 TUNISIA	135	74.8%	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	E.Rosthoej	🇩🇰 DENMARK	526	283	53.8%
2	J.Sigsgaard	🇩🇰 DENMARK	532	285	53.6%
3	E.Jacob	🇦🇺 AUSTRALIA	620	314	50.6%
4	L.Grude	🇳🇴 NORWAY	598	300	50.2%
5	S.Paoluzi	🇮🇹 ITALY	691	346	50.1%
6	M.Chavarria	🇮🇹 ITALY	693	346	49.9%
7	A.Acar	🇹🇷 TURKIYE	670	332	49.6%
8	B.Oigarden	🇳🇴 NORWAY	602	296	49.2%
9	M.Zur-Campanile	🇺🇸 USA2	687	337	49.1%
10	R.Cooper	🇦🇺 AUSTRALIA	621	304	49.0%
11	J.Seamon-Molson	🇺🇸 USA2	700	342	48.9%
12	M.Verbeek	🇳🇱 NETHERLANDS	579	283	48.9%
13	A.Sarniak	🇵🇱 POLAND	616	299	48.5%
14	D.Halfon	🇫🇷 FRANCE	655	317	48.4%
15	K.Guo	🇨🇳 CHINA	591	286	48.4%
16	W.Van Zwol	🇳🇱 NETHERLANDS	569	275	48.3%
17	N.Wang	🇨🇳 CHINA	602	290	48.2%
18	B.Erkan	🇹🇷 TURKIYE	670	321	47.9%
19	A.Lin	🇺🇸 USA1	664	318	47.9%
20	S.Brock	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	577	276	47.8%
21	M.Johansson	🇸🇪 SWEDEN	627	299	47.7%
22	A.Leleu	🇫🇷 FRANCE	465	221	47.5%
23	A.Tartarin	🇫🇷 FRANCE	632	298	47.2%
24	E.Kolesnik	🇺🇸 USA1	673	316	47.0%
25	T.Demarco	🇦🇺 AUSTRALIA	553	259	46.8%
26	O.Seker	🇹🇷 TURKIYE	461	215	46.6%
27	J.Stansby	🇺🇸 USA1	663	307	46.3%
28	C.Stanton	🇿🇦 SOUTH AFRICA	561	260	46.3%
29	J.Borg	🇸🇪 SWEDEN	615	284	46.2%
30	D.Rosenberg	🇺🇸 USA1	671	309	46.1%
31	V.Armstrong	🇿🇦 SOUTH AFRICA	563	259	46.0%
32	A.Jarosz	🇵🇱 POLAND	485	223	46.0%
33	F.Herrera	🇦🇷 ARGENTINA	627	288	45.9%
34	D.Nettleton	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	573	263	45.9%
35	B.Uskup	🇧🇪 BELGIUM	573	263	45.9%
36	M.Harding	🇳🇴 NORWAY	555	255	45.9%
37	X.Yuan	🇨🇳 CHINA	572	262	45.8%
38	M.Kurek Beaulieu	🇫🇷 FRANCE	478	218	45.6%
39	J.Zalewska	🇵🇱 POLAND	631	287	45.5%
40	L.Doria	🇧🇷 BRAZIL	574	261	45.5%
41	N.Smith	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	575	260	45.2%
42	S.Lusk	🇦🇺 AUSTRALIA	546	247	45.2%
43	I.Ozbay	🇹🇷 TURKIYE	669	300	44.8%
44	A.Biondillo	🇧🇷 BRAZIL	581	259	44.6%
45	M.Canonne	🇫🇷 FRANCE	671	298	44.4%
46	D.Bilde	🇩🇰 DENMARK	629	279	44.4%
47	M.Stas	🇧🇪 BELGIUM	591	262	44.3%
48	K.Cheung	🇭🇰 HONG KONG CHINA	668	295	44.2%
49	H.Yeung	🇭🇰 HONG KONG CHINA	660	292	44.2%
50	A.Sharma	🇮🇳 INDIA	583	257	44.1%
51	E.Alegre	🇦🇷 ARGENTINA	632	278	44.0%
52	C.Booth	🇭🇰 HONG KONG CHINA	407	179	44.0%
53	M.Bruijnsteen	🇳🇱 NETHERLANDS	627	275	43.9%
54	S.Baldysz	🇵🇱 POLAND	658	288	43.8%
55	B.Dey	🇮🇳 INDIA	560	245	43.8%
56	D.Yavas	🇹🇷 TURKIYE	667	290	43.5%
57	Y.Chen	🇨🇦 CANADA	612	266	43.5%
58	M.Espinosa-Paz	🇦🇷 ARGENTINA	611	266	43.5%
59	N.Senior	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	573	249	43.5%
60	M.Farhani Goncalves	🇹🇳 TUNISIA	864	375	43.4%
61	C.Baldysz	🇵🇱 POLAND	656	285	43.4%
62	J.Alabaster	🇳🇿 NEW ZEALAND	548	238	43.4%
63	Z.Liao	🇨🇳 CHINA	628	272	43.3%
64	Y.Cao	🇨🇦 CANADA	619	268	43.3%
65	C.Puillet	🇫🇷 FRANCE	634	274	43.2%
66	A.Vidigal	🇧🇷 BRAZIL	570	246	43.2%
67	S.Shi	🇺🇸 USA2	407	176	43.2%
68	L.Hallqvist	🇸🇪 SWEDEN	638	275	43.1%
69	M.Previde	🇦🇷 ARGENTINA	619	267	43.1%
70	H.Sellami	🇹🇳 TUNISIA	693	298	43.0%
71	J.Duursma	🇳🇱 NETHERLANDS	563	242	43.0%
72	O.Schireson	🇺🇸 USA1	433	186	43.0%
73	S.Zhang	🇺🇸 USA2	400	171	42.8%
74	E.Tichy	🇭🇺 HUNGARY	768	328	42.7%
75	A.Boughey	🇳🇿 NEW ZEALAND	586	250	42.7%
76	X.Hong	🇨🇦 CANADA	548	234	42.7%
77	O.Hegedus	🇭🇺 HUNGARY	827	352	42.6%
78	J.Wang	🇨🇳 CHINA	624	266	42.6%
79	E.Ruscalla	🇮🇹 ITALY	575	245	42.6%
80	L.Baker	🇺🇸 USA1	432	184	42.6%
81	A.Couteaux	🇧🇪 BELGIUM	559	237	42.4%
82	J.Gong	🇨🇦 CANADA	624	264	42.3%
83	A.Zalai	🇭🇺 HUNGARY	772	325	42.1%
84	C.Richardson	🇳🇿 NEW ZEALAND	583	244	41.9%
85	E.Morawska	🇵🇱 POLAND	495	207	41.8%
86	J.Ghodhbane	🇹🇳 TUNISIA	618	258	41.7%
87	S.Cauwels	🇧🇪 BELGIUM	575	240	41.7%
88	A.Kshirsagar	🇮🇳 INDIA	564	235	41.7%
89	N.Marechal	🇧🇪 BELGIUM	563	235	41.7%
90	W.Chen	🇨🇦 CANADA	544	227	41.7%
91	T.Heskje	🇳🇴 NORWAY	611	254	41.6%
92	S.Lang	🇿🇦 SOUTH AFRICA	586	244	41.6%
93	M.Ticha	🇳🇱 NETHERLANDS	551	229	41.6%
94	S.Raza	🇵🇰 PAKISTAN	549	228	41.5%
95	A.Fuglestad	🇳🇴 NORWAY	567	235	41.4%
96	L.Ferreira	🇧🇷 BRAZIL	626	257	41.1%
97	J.Gibbons	🇳🇿 NEW ZEALAND	581	239	41.1%
98	Y.Johansson	🇸🇪 SWEDEN	632	259	41.0%
99	C.Vandenbossche	🇧🇪 BELGIUM	600	246	41.0%
100	S.Li	🇭🇰 HONG KONG CHINA	411	168	40.9%
101	S.Csipka	🇭🇺 HUNGARY	564	230	40.8%
102	P.Balasubramanian	🇮🇳 INDIA	612	249	40.7%
103	J.Meyers	🇺🇸 USA2	643	261	40.6%
104	A.Nilsson	🇸🇪 SWEDEN	530	215	40.6%
105	M.Costa	🇮🇹 ITALY	574	232	40.4%
106	G.Vist	🇳🇴 NORWAY	631	254	40.3%
107	A.Buus Thomsen	🇩🇰 DENMARK	632	254	40.2%
108	F.Brown	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	605	242	40.0%
109	J.Bello	🇦🇷 ARGENTINA	541	216	39.9%
110	P.Batra	🇮🇳 INDIA	603	240	39.8%
111	A.Lennon	🇳🇿 NEW ZEALAND	558	222	39.8%
112	C.Golin	🇮🇹 ITALY	594	236	39.7%
113	M.Falk	🇧🇷 BRAZIL	621	246	39.6%
114	P.Tekir Dogan	🇹🇷 TURKIYE	472	187	39.6%
115	S.Bamboat	🇵🇰 PAKISTAN	547	216	39.5%
116	S.Tung	🇭🇰 HONG KONG CHINA	678	266	39.2%
117	D.Van Delft	🇳🇱 NETHERLANDS	630	247	39.2%
118	R.Agha	🇵🇰 PAKISTAN	855	334	39.1%
119	H.Erichsen	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	616	241	39.1%
120	C.Pomares Y De Morant	🇮🇹 ITALY	591	231	39.1%
121	R.Saigol	🇵🇰 PAKISTAN	801	312	39.0%
122	K.Sanborn	🇺🇸 USA2	651	254	39.0%
123	L.Bilde	🇩🇰 DENMARK	651	252	38.7%
124	C.Nunez	🇦🇷 ARGENTINA	545	211	38.7%
125	A.Nestoridis	🇿🇦 SOUTH AFRICA	607	234	38.6%
126	L.Chen	🇨🇦 CANADA	624	240	38.5%
127	B.Kohli	🇮🇳 INDIA	603	232	38.5%
128	X.Zuo	🇨🇳 CHINA	577	220	38.1%
129	L.Sorensen	🇿🇦 SOUTH AFRICA	614	232	37.8%
130	H.Rasmussen	🇩🇰 DENMARK	657	247	37.6%
131	J.Tutty	🇦🇺 AUSTRALIA	607	227	37.4%
132	D.Neumann	🇦🇺 AUSTRALIA	602	225	37.4%
133	M.Bjoerk Heed	🇸🇪 SWEDEN	533	199	37.3%
134	J.Hegedus	🇭🇺 HUNGARY	493	184	37.3%
135	P.Chan	🇭🇰 HONG KONG CHINA	693	258	37.2%
136	F.Raza	🇵🇰 PAKISTAN	658	245	37.2%
137	F.Trabelsi	🇹🇳 TUNISIA	655	242	36.9%
138	R.Bernstein	🇿🇦 SOUTH AFRICA	592	218	36.8%
139	L.Menezes	🇧🇷 BRAZIL	579	208	35.9%
140	N.Landa	🇹🇳 TUNISIA	591	207	35.0%
141	C.Gibbons	🇳🇿 NEW ZEALAND	591	206	34.9%

Strength of schedule — opponent-adjusted Butler↑ top

On every board a player meets a specific opposing pair, and strong opponents defend and bid well — which quietly depresses your cross-IMP. Opp /bd is the mean cumulative Butler of the pairs faced, i.e. the strength of the draw (+ tough, − easy). Adj /bd adds it back — a tough draw is credited, an easy one discounted — and Δ is the resulting move against the raw Butler order. Regulars only (≥ 40% of the boards). Click a column header to sort; filter by name or team.

#	Player	Team	Boards	Opp /bd	Raw /bd	Adj /bd	Δ
1	Z.Liao	🇨🇳 CHINA	224	+0.01	+0.86	+0.87	▲2
2	J.Wang	🇨🇳 CHINA	224	+0.01	+0.86	+0.87	▲2
3	C.Baldysz	🇵🇱 POLAND	238	+0.03	+0.73	+0.75	▲8
4	S.Baldysz	🇵🇱 POLAND	238	+0.03	+0.73	+0.75	▲8
5	I.Ozbay	🇹🇷 TURKIYE	238	-0.06	+0.78	+0.72	·
6	D.Yavas	🇹🇷 TURKIYE	238	-0.06	+0.78	+0.72	·
7	A.Sarniak	🇵🇱 POLAND	224	-0.04	+0.74	+0.70	·
8	J.Zalewska	🇵🇱 POLAND	224	-0.04	+0.74	+0.70	·
9	X.Yuan	🇨🇳 CHINA	210	-0.22	+0.91	+0.69	▼8
10	X.Zuo	🇨🇳 CHINA	210	-0.22	+0.91	+0.69	▼8
11	J.Seamon-Molson	🇺🇸 USA2	252	+0.04	+0.63	+0.67	▲6
12	M.Zur-Campanile	🇺🇸 USA2	252	+0.04	+0.63	+0.67	▲6
13	J.Duursma	🇳🇱 NETHERLANDS	210	-0.06	+0.71	+0.65	▲2
14	M.Ticha	🇳🇱 NETHERLANDS	210	-0.06	+0.71	+0.65	▲2
15	M.Chavarria	🇮🇹 ITALY	238	+0.08	+0.56	+0.64	▲8
16	S.Paoluzi	🇮🇹 ITALY	238	+0.08	+0.56	+0.64	▲8
17	W.Van Zwol	🇳🇱 NETHERLANDS	210	-0.10	+0.73	+0.63	▼8
18	M.Verbeek	🇳🇱 NETHERLANDS	210	-0.10	+0.73	+0.63	▼8
19	E.Rosthoej	🇩🇰 DENMARK	182	-0.09	+0.72	+0.63	▼6
20	J.Sigsgaard	🇩🇰 DENMARK	182	-0.09	+0.72	+0.63	▼6
21	A.Lin	🇺🇸 USA1	238	+0.15	+0.48	+0.63	▲8
22	D.Rosenberg	🇺🇸 USA1	238	+0.15	+0.48	+0.63	▲8
23	M.Canonne	🇫🇷 FRANCE	238	+0.04	+0.58	+0.62	▼2
24	D.Halfon	🇫🇷 FRANCE	238	+0.04	+0.58	+0.62	▼2
25	A.Acar	🇹🇷 TURKIYE	238	+0.04	+0.58	+0.62	▼6
26	B.Erkan	🇹🇷 TURKIYE	238	+0.04	+0.58	+0.62	▼6
27	M.Bruijnsteen	🇳🇱 NETHERLANDS	224	+0.09	+0.50	+0.59	·
28	D.Van Delft	🇳🇱 NETHERLANDS	224	+0.09	+0.50	+0.59	·
29	A.Fuglestad	🇳🇴 NORWAY	210	-0.01	+0.51	+0.50	▼4
30	M.Harding	🇳🇴 NORWAY	210	-0.01	+0.51	+0.50	▼4
31	L.Bilde	🇩🇰 DENMARK	238	+0.00	+0.45	+0.45	▲2
32	H.Rasmussen	🇩🇰 DENMARK	238	+0.00	+0.45	+0.45	▲2
33	N.Senior	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	224	+0.05	+0.38	+0.43	▲4
34	N.Smith	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	224	+0.05	+0.38	+0.43	▲4
35	T.Demarco	🇦🇺 AUSTRALIA	196	+0.00	+0.43	+0.43	·
36	S.Lusk	🇦🇺 AUSTRALIA	196	+0.00	+0.43	+0.43	·
37	D.Neumann	🇦🇺 AUSTRALIA	224	-0.05	+0.46	+0.41	▼6
38	J.Tutty	🇦🇺 AUSTRALIA	224	-0.05	+0.46	+0.41	▼6
39	A.Boughey	🇳🇿 NEW ZEALAND	210	+0.15	+0.24	+0.40	▲10
40	C.Richardson	🇳🇿 NEW ZEALAND	210	+0.15	+0.24	+0.40	▲10
41	J.Meyers	🇺🇸 USA2	238	+0.05	+0.34	+0.39	▼2
42	K.Sanborn	🇺🇸 USA2	238	+0.05	+0.34	+0.39	▼2
43	A.Couteaux	🇧🇪 BELGIUM	210	+0.14	+0.19	+0.33	▲14
44	N.Marechal	🇧🇪 BELGIUM	210	+0.14	+0.19	+0.33	▲14
45	P.Chan	🇭🇰 HONG KONG CHINA	252	+0.01	+0.31	+0.32	▼2
46	S.Tung	🇭🇰 HONG KONG CHINA	252	+0.01	+0.31	+0.32	▼2
47	F.Brown	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	210	-0.02	+0.32	+0.30	▼6
48	H.Erichsen	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	210	-0.02	+0.32	+0.30	▼6
49	D.Bilde	🇩🇰 DENMARK	224	+0.08	+0.21	+0.29	▲2
50	A.Buus Thomsen	🇩🇰 DENMARK	224	+0.08	+0.21	+0.29	▲2
51	C.Puillet	🇫🇷 FRANCE	238	+0.07	+0.20	+0.27	▲2
52	A.Tartarin	🇫🇷 FRANCE	238	+0.07	+0.20	+0.27	▲2
53	P.Balasubramanian	🇮🇳 INDIA	224	+0.09	+0.16	+0.25	▲8
54	B.Kohli	🇮🇳 INDIA	224	+0.09	+0.16	+0.25	▲10
55	A.Jarosz	🇵🇱 POLAND	182	-0.04	+0.29	+0.24	▼10
56	E.Morawska	🇵🇱 POLAND	182	-0.04	+0.29	+0.24	▼10
57	E.Tichy	🇭🇺 HUNGARY	294	+0.05	+0.14	+0.19	▲8
58	R.Cooper	🇦🇺 AUSTRALIA	224	+0.00	+0.16	+0.17	▲4
59	E.Jacob	🇦🇺 AUSTRALIA	224	+0.00	+0.16	+0.17	▲4
60	O.Seker	🇹🇷 TURKIYE	168	+0.08	+0.08	+0.17	▲11
61	P.Tekir Dogan	🇹🇷 TURKIYE	168	+0.08	+0.08	+0.17	▲11
62	E.Kolesnik	🇺🇸 USA1	238	+0.12	+0.01	+0.14	▲20
63	J.Stansby	🇺🇸 USA1	238	+0.12	+0.01	+0.14	▲20
64	K.Guo	🇨🇳 CHINA	210	+0.02	+0.11	+0.12	▲4
65	N.Wang	🇨🇳 CHINA	210	+0.02	+0.11	+0.12	▲4
66	A.Zalai	🇭🇺 HUNGARY	294	+0.03	+0.09	+0.12	▲4
67	C.Golin	🇮🇹 ITALY	210	-0.17	+0.28	+0.11	▼20
68	C.Pomares Y De Morant	🇮🇹 ITALY	210	-0.17	+0.28	+0.11	▼20
69	T.Heskje	🇳🇴 NORWAY	224	-0.07	+0.17	+0.11	▼10
70	G.Vist	🇳🇴 NORWAY	224	-0.07	+0.17	+0.11	▼10
71	M.Espinosa-Paz	🇦🇷 ARGENTINA	224	+0.07	+0.02	+0.09	▲7
72	M.Previde	🇦🇷 ARGENTINA	224	+0.07	+0.02	+0.09	▲7
73	Y.Cao	🇨🇦 CANADA	224	-0.05	+0.05	+0.01	▲2
74	J.Gong	🇨🇦 CANADA	224	-0.05	+0.05	+0.01	▲2
75	M.Costa	🇮🇹 ITALY	196	-0.01	-0.01	-0.02	▲9
76	E.Ruscalla	🇮🇹 ITALY	196	-0.01	-0.01	-0.02	▲9
77	S.Shi	🇺🇸 USA2	154	-0.25	+0.20	-0.05	▼22
78	S.Zhang	🇺🇸 USA2	154	-0.25	+0.20	-0.05	▼22
79	S.Brock	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	210	+0.04	-0.11	-0.07	▲9
80	D.Nettleton	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	210	+0.04	-0.11	-0.07	▲9
81	L.Hallqvist	🇸🇪 SWEDEN	224	+0.14	-0.22	-0.08	▲9
82	Y.Johansson	🇸🇪 SWEDEN	224	+0.14	-0.22	-0.08	▲9
83	L.Grude	🇳🇴 NORWAY	210	-0.11	+0.02	-0.09	▼3
84	B.Oigarden	🇳🇴 NORWAY	210	-0.11	+0.02	-0.09	▼3
85	M.Kurek Beaulieu	🇫🇷 FRANCE	168	-0.21	+0.12	-0.10	▼19
86	A.Leleu	🇫🇷 FRANCE	168	-0.21	+0.12	-0.10	▼19
87	J.Hegedus	🇭🇺 HUNGARY	182	+0.10	-0.31	-0.21	▲15
88	M.Bjoerk Heed	🇸🇪 SWEDEN	196	-0.14	-0.11	-0.24	▼2
89	A.Nilsson	🇸🇪 SWEDEN	196	-0.14	-0.11	-0.24	▼2
90	M.Farhani Goncalves	🇹🇳 TUNISIA	322	+0.01	-0.26	-0.25	▲7
91	E.Alegre	🇦🇷 ARGENTINA	224	+0.00	-0.26	-0.26	▲4
92	F.Herrera	🇦🇷 ARGENTINA	224	+0.00	-0.26	-0.26	▲4
93	J.Alabaster	🇳🇿 NEW ZEALAND	210	+0.01	-0.27	-0.26	▲5
94	A.Lennon	🇳🇿 NEW ZEALAND	210	+0.01	-0.27	-0.26	▲5
95	J.Borg	🇸🇪 SWEDEN	224	+0.14	-0.40	-0.26	▲13
96	M.Johansson	🇸🇪 SWEDEN	224	+0.14	-0.40	-0.26	▲13
97	S.Csipka	🇭🇺 HUNGARY	210	-0.33	+0.03	-0.30	▼20
98	L.Baker	🇺🇸 USA1	168	-0.38	+0.06	-0.31	▼25
99	O.Schireson	🇺🇸 USA1	168	-0.38	+0.06	-0.31	▼25
100	L.Menezes	🇧🇷 BRAZIL	210	+0.12	-0.45	-0.32	▲13
101	A.Vidigal	🇧🇷 BRAZIL	210	+0.12	-0.45	-0.32	▲13
102	J.Ghodhbane	🇹🇳 TUNISIA	224	-0.09	-0.24	-0.33	▼10
103	V.Armstrong	🇿🇦 SOUTH AFRICA	210	-0.09	-0.24	-0.33	▼10
104	C.Stanton	🇿🇦 SOUTH AFRICA	210	-0.09	-0.24	-0.33	▼10
105	L.Chen	🇨🇦 CANADA	224	+0.10	-0.47	-0.37	▲10
106	Y.Chen	🇨🇦 CANADA	224	+0.10	-0.47	-0.37	▲10
107	R.Agha	🇵🇰 PAKISTAN	322	+0.03	-0.41	-0.38	▲3
108	J.Bello	🇦🇷 ARGENTINA	196	+0.02	-0.42	-0.40	▲3
109	C.Nunez	🇦🇷 ARGENTINA	196	+0.02	-0.42	-0.40	▲3
110	B.Dey	🇮🇳 INDIA	196	-0.04	-0.37	-0.41	▼6
111	A.Kshirsagar	🇮🇳 INDIA	196	-0.04	-0.37	-0.41	▼6
112	P.Batra	🇮🇳 INDIA	224	+0.10	-0.52	-0.42	▲5
113	A.Sharma	🇮🇳 INDIA	224	+0.10	-0.52	-0.42	▲5
114	C.Gibbons	🇳🇿 NEW ZEALAND	224	-0.05	-0.40	-0.44	▼8
115	J.Gibbons	🇳🇿 NEW ZEALAND	224	-0.05	-0.40	-0.44	▼8
116	O.Hegedus	🇭🇺 HUNGARY	308	-0.10	-0.34	-0.45	▼13
117	A.Nestoridis	🇿🇦 SOUTH AFRICA	224	+0.01	-0.54	-0.53	▲2
118	L.Sorensen	🇿🇦 SOUTH AFRICA	224	+0.01	-0.54	-0.53	▲2
119	F.Raza	🇵🇰 PAKISTAN	238	+0.03	-0.56	-0.53	▲2
120	H.Sellami	🇹🇳 TUNISIA	266	-0.00	-0.60	-0.60	▲2
121	C.Booth	🇭🇰 HONG KONG CHINA	154	-0.32	-0.28	-0.60	▼21
122	S.Li	🇭🇰 HONG KONG CHINA	154	-0.32	-0.28	-0.60	▼21
123	M.Falk	🇧🇷 BRAZIL	224	+0.01	-0.74	-0.73	▲2
124	L.Ferreira	🇧🇷 BRAZIL	224	+0.01	-0.74	-0.73	▲2
125	M.Stas	🇧🇪 BELGIUM	224	-0.09	-0.68	-0.77	▼2
126	C.Vandenbossche	🇧🇪 BELGIUM	224	-0.09	-0.68	-0.77	▼2
127	N.Landa	🇹🇳 TUNISIA	224	+0.03	-0.82	-0.79	·
128	K.Cheung	🇭🇰 HONG KONG CHINA	238	+0.15	-0.94	-0.79	▲5
129	H.Yeung	🇭🇰 HONG KONG CHINA	238	+0.15	-0.94	-0.79	▲5
130	S.Raza	🇵🇰 PAKISTAN	210	+0.06	-0.91	-0.85	·
131	W.Chen	🇨🇦 CANADA	196	+0.05	-0.91	-0.86	·
132	X.Hong	🇨🇦 CANADA	196	+0.05	-0.91	-0.86	·
133	F.Trabelsi	🇹🇳 TUNISIA	252	+0.15	-1.04	-0.89	▲6
134	R.Bernstein	🇿🇦 SOUTH AFRICA	210	-0.04	-0.89	-0.93	▼6
135	S.Lang	🇿🇦 SOUTH AFRICA	210	-0.04	-0.89	-0.93	▼6
136	S.Cauwels	🇧🇪 BELGIUM	210	-0.01	-1.04	-1.05	▲1
137	B.Uskup	🇧🇪 BELGIUM	210	-0.01	-1.04	-1.05	▲1
138	S.Bamboat	🇵🇰 PAKISTAN	210	+0.13	-1.21	-1.08	▲2
139	A.Biondillo	🇧🇷 BRAZIL	210	-0.14	-0.94	-1.09	▼4
140	L.Doria	🇧🇷 BRAZIL	210	-0.14	-0.94	-1.09	▼4
141	R.Saigol	🇵🇰 PAKISTAN	308	+0.11	-1.38	-1.27	·

Stages

Statistics

Tables