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	T.Bessis	🇫🇷 FRANCE	266	+1.17	+310.0
2	C.Lorenzini	🇫🇷 FRANCE	266	+1.17	+310.0
3	D.Gold	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	252	+1.11	+280.0
4	A.Robson	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	252	+1.11	+280.0
5	C.Bakke	🇳🇴 NORWAY	266	+1.02	+271.0
6	B.Brogeland	🇳🇴 NORWAY	266	+1.02	+271.0
7	D.Bilde	🇩🇰 DENMARK	308	+1.01	+312.0
8	M.Schaltz	🇩🇰 DENMARK	308	+1.01	+312.0
9	E.Ginossar	🇺🇸 USA2	252	+0.85	+215.0
10	C.Willenken	🇺🇸 USA2	252	+0.85	+215.0
11	F.Nystrom	🇸🇪 SWEDEN	238	+0.80	+190.0
12	J.Upmark	🇸🇪 SWEDEN	238	+0.80	+190.0
13	M.Di Franco	🇮🇹 ITALY	210	+0.70	+146.0
14	A.Manno	🇮🇹 ITALY	210	+0.70	+146.0
15	O.Toledano	🇮🇱 ISRAEL	252	+0.66	+167.0
16	A.Zamir	🇮🇱 ISRAEL	252	+0.66	+167.0
17	A.Madala	🇦🇷 ARGENTINA	322	+0.64	+205.0
18	S.Brink	🇨🇭 SWITZERLAND	224	+0.58	+130.0
19	B.Drijver	🇨🇭 SWITZERLAND	224	+0.58	+130.0
20	G.Donati	🇮🇹 ITALY	224	+0.54	+122.0
21	G.Percario	🇮🇹 ITALY	224	+0.54	+122.0
22	M.Rimstedt	🇸🇪 SWEDEN	224	+0.54	+121.0
23	O.Rimstedt	🇸🇪 SWEDEN	224	+0.54	+121.0
24	A.Sementa	🇮🇹 ITALY	210	+0.53	+112.0
25	A.Versace	🇮🇹 ITALY	210	+0.53	+112.0
26	J.Feldman	🇨🇦 CANADA	210	+0.52	+110.0
27	D.Miles	🇨🇦 CANADA	210	+0.52	+110.0
28	M.Toma	🇧🇷 BRAZIL	252	+0.52	+131.0
29	K.Bathurst	🇺🇸 USA1	266	+0.51	+135.0
30	J.Hurd	🇺🇸 USA1	266	+0.51	+135.0
31	N.Apteker	🇿🇦 SOUTH AFRICA	224	+0.50	+112.0
32	R.Stephens	🇿🇦 SOUTH AFRICA	224	+0.50	+112.0
33	A.Kaplan	🇺🇸 USA1	168	+0.49	+83.0
34	F.Kolesnik	🇺🇸 USA1	168	+0.49	+83.0
35	B.Dehaye	🇧🇪 BELGIUM	224	+0.43	+97.0
36	C.Dehaye	🇧🇪 BELGIUM	224	+0.43	+97.0
37	A.Birman	🇮🇱 ISRAEL	252	+0.43	+108.0
38	D.Padon	🇮🇱 ISRAEL	252	+0.43	+108.0
39	M.Figueiredo	🇧🇷 BRAZIL	252	+0.39	+98.0
40	A.Grossack	🇺🇸 USA1	210	+0.35	+74.0
41	E.Wold	🇺🇸 USA1	210	+0.35	+74.0
42	B.Norton	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	182	+0.35	+63.0
43	S.Tommasini	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	182	+0.35	+63.0
44	Z.Grossack	🇺🇸 USA2	238	+0.34	+81.0
45	M.Rosenberg	🇺🇸 USA2	238	+0.34	+81.0
46	M.Brown	🇳🇿 NEW ZEALAND	238	+0.34	+81.0
47	M.Whibley	🇳🇿 NEW ZEALAND	238	+0.34	+81.0
48	J.Haffer	🇦🇺 AUSTRALIA	224	+0.34	+76.0
49	P.Markey	🇦🇺 AUSTRALIA	224	+0.34	+76.0
50	A.Bianchedi	🇦🇷 ARGENTINA	280	+0.32	+89.0
51	J.Kalita	🇨🇭 SWITZERLAND	266	+0.30	+80.0
52	M.Klukowski	🇨🇭 SWITZERLAND	266	+0.30	+80.0
53	C.Garnier	🇬🇵 GUADELOUPE	238	+0.29	+69.0
54	D.Gerin	🇬🇵 GUADELOUPE	238	+0.29	+69.0
55	S.Haque	🇧🇩 BANGLADESH	238	+0.23	+55.0
56	M.Hossain	🇧🇩 BANGLADESH	238	+0.23	+55.0
57	M.Villas-Boas	🇧🇷 BRAZIL	252	+0.21	+54.0
58	C.Pellegrini	🇦🇷 ARGENTINA	238	+0.21	+50.0
59	S.Bahbout	🇧🇪 BELGIUM	252	+0.18	+45.0
60	S.De Donder	🇧🇪 BELGIUM	252	+0.18	+45.0
61	F.Pollack	🇨🇦 CANADA	224	+0.14	+32.0
62	J.Smith	🇨🇦 CANADA	224	+0.14	+32.0
63	K.Bendre	🇮🇳 INDIA	252	+0.11	+27.0
64	S.Kushari	🇮🇳 INDIA	252	+0.11	+27.0
65	C.Lahrmann	🇩🇰 DENMARK	168	+0.10	+17.0
66	A.Plejdrup-Meister	🇩🇰 DENMARK	168	+0.10	+17.0
67	Y.Cai	🇨🇳 CHINA	238	+0.08	+19.0
68	G.Sun	🇨🇳 CHINA	238	+0.08	+19.0
69	M.Nowosadzki	🇨🇭 SWITZERLAND	154	+0.03	+4.0
70	P.Zimmermann	🇨🇭 SWITZERLAND	154	+0.03	+4.0
71	J.Li	🇨🇳 CHINA	224	+0.01	+3.0
72	Y.Zhang	🇨🇳 CHINA	224	+0.01	+3.0
73	R.Lian	🇨🇳 CHINA	182	-0.04	-7.0
74	Y.Lian	🇨🇳 CHINA	182	-0.04	-7.0
75	S.Kang	🇰🇷 KOREA	322	-0.04	-14.0
76	S.Roh	🇰🇷 KOREA	322	-0.04	-14.0
77	M.Fourati	🇹🇳 TUNISIA	210	-0.13	-27.0
78	M.Ghodhbane	🇹🇳 TUNISIA	210	-0.13	-27.0
79	L.Kuo	🇹🇼 CHINESE TAIPEI	266	-0.16	-43.0
80	H.So	🇹🇼 CHINESE TAIPEI	266	-0.16	-43.0
81	J.Coutts	🇦🇺 AUSTRALIA	224	-0.18	-40.0
82	L.Milne	🇦🇺 AUSTRALIA	224	-0.18	-40.0
83	J.Campos	🇧🇷 BRAZIL	266	-0.23	-62.0
84	N.Kvangraven	🇳🇴 NORWAY	154	-0.27	-41.0
85	U.Tundal	🇳🇴 NORWAY	154	-0.27	-41.0
86	B.Combescure	🇫🇷 FRANCE	168	-0.27	-46.0
87	P.Franceschetti	🇫🇷 FRANCE	168	-0.27	-46.0
88	G.Arts	🇧🇪 BELGIUM	168	-0.29	-49.0
89	S.De Roos	🇧🇪 BELGIUM	168	-0.29	-49.0
90	K.Nandi	🇮🇳 INDIA	182	-0.31	-56.0
91	S.Roy	🇮🇳 INDIA	182	-0.31	-56.0
92	D.Kim	🇰🇷 KOREA	322	-0.32	-103.0
93	S.Lee	🇰🇷 KOREA	322	-0.32	-103.0
94	P.Mathieu	🇬🇵 GUADELOUPE	238	-0.33	-79.0
95	L.Soudan	🇬🇵 GUADELOUPE	238	-0.33	-79.0
96	W.Bellazreg	🇹🇳 TUNISIA	223	-0.34	-76.0
97	A.Mestiri	🇹🇳 TUNISIA	223	-0.34	-76.0
98	A.Rosenthal	🇺🇸 USA2	154	-0.36	-56.0
99	A.Silverstein	🇺🇸 USA2	154	-0.36	-56.0
100	A.Rodrigues	🇧🇷 BRAZIL	266	-0.40	-107.0
101	M.Askgaard	🇩🇰 DENMARK	168	-0.46	-78.0
102	K.Konow	🇩🇰 DENMARK	168	-0.46	-78.0
103	A.Apteker	🇿🇦 SOUTH AFRICA	210	-0.48	-101.0
104	C.Gower	🇿🇦 SOUTH AFRICA	210	-0.48	-101.0
105	T.Grude	🇳🇴 NORWAY	224	-0.51	-115.0
106	G.Helgemo	🇳🇴 NORWAY	224	-0.51	-115.0
107	B.Handley-Pritchard	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	210	-0.54	-113.0
108	T.Townsend	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	210	-0.54	-113.0
109	S.Mukherjee	🇮🇳 INDIA	210	-0.54	-114.0
110	R.Tewari	🇮🇳 INDIA	210	-0.54	-114.0
111	C.Chou	🇹🇼 CHINESE TAIPEI	182	-0.54	-99.0
112	E.Huang	🇹🇼 CHINESE TAIPEI	182	-0.54	-99.0
113	B.Mace	🇳🇿 NEW ZEALAND	196	-0.55	-108.0
114	M.Mayer	🇳🇿 NEW ZEALAND	196	-0.55	-108.0
115	P.Cullin	🇸🇪 SWEDEN	182	-0.60	-110.0
116	M.Michielsen	🇸🇪 SWEDEN	182	-0.60	-110.0
117	L.Rizzo	🇦🇷 ARGENTINA	224	-0.62	-138.0
118	J.Rombaut	🇫🇷 FRANCE	210	-0.73	-154.0
119	L.Rombaut	🇫🇷 FRANCE	210	-0.73	-154.0
120	M.Ispahani	🇧🇩 BANGLADESH	182	-0.83	-151.0
121	M.Rahman	🇧🇩 BANGLADESH	182	-0.83	-151.0
122	S.Ashton	🇦🇺 AUSTRALIA	196	-0.83	-163.0
123	D.Wiltshire	🇦🇺 AUSTRALIA	196	-0.83	-163.0
124	ALAUDDIN MD	🇧🇩 BANGLADESH	224	-0.89	-199.0
125	KAMRUZZAMAN A H M	🇧🇩 BANGLADESH	224	-0.89	-199.0
126	N.L'Ecuyer	🇨🇦 CANADA	210	-0.92	-193.0
127	D.Wolpert	🇨🇦 CANADA	210	-0.92	-193.0
128	N.Eber	🇿🇦 SOUTH AFRICA	210	-0.92	-194.0
129	H.Fick	🇿🇦 SOUTH AFRICA	210	-0.92	-194.0
130	I.Herbst	🇮🇱 ISRAEL	140	-1.10	-154.0
131	O.Herbst	🇮🇱 ISRAEL	140	-1.10	-154.0
132	T.Kuo	🇹🇼 CHINESE TAIPEI	196	-1.12	-219.0
133	Y.Lee	🇹🇼 CHINESE TAIPEI	196	-1.12	-219.0
134	I.Berrington	🇳🇿 NEW ZEALAND	209	-1.32	-275.0
135	G.Tuffnell	🇳🇿 NEW ZEALAND	209	-1.32	-275.0
136	A.Meddeb	🇹🇳 TUNISIA	210	-1.33	-280.0
137	O.Meddeb	🇹🇳 TUNISIA	210	-1.33	-280.0
138	F.Dufau	🇬🇵 GUADELOUPE	168	-2.48	-416.0
139	O.Tolza	🇬🇵 GUADELOUPE	168	-2.48	-416.0
140	J.Popowsky	🇦🇷 ARGENTINA	112	+0.06	+7.0
141	M.Cloppet	🇦🇷 ARGENTINA	112	-0.67	-75.0

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	D.Gold	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	54	94.4%	0.06
2	C.Lahrmann	🇩🇰 DENMARK	36	91.7%	0.14
3	J.Feldman	🇨🇦 CANADA	45	91.1%	0.11
4	G.Sun	🇨🇳 CHINA	44	90.9%	0.16
5	M.Villas-Boas	🇧🇷 BRAZIL	65	90.8%	0.11
6	C.Gower	🇿🇦 SOUTH AFRICA	50	90.0%	0.12
7	J.Kalita	🇨🇭 SWITZERLAND	69	89.9%	0.13
8	M.Nowosadzki	🇨🇭 SWITZERLAND	28	89.3%	0.14
9	M.Rimstedt	🇸🇪 SWEDEN	53	88.7%	0.11
10	D.Gerin	🇬🇵 GUADELOUPE	62	88.7%	0.11
11	A.Birman	🇮🇱 ISRAEL	62	88.7%	0.14
12	M.Michielsen	🇸🇪 SWEDEN	44	88.6%	0.11
13	J.Coutts	🇦🇺 AUSTRALIA	44	88.6%	0.14
14	S.Kang	🇰🇷 KOREA	85	88.2%	0.14
15	T.Bessis	🇫🇷 FRANCE	64	87.5%	0.17
16	Y.Lee	🇹🇼 CHINESE TAIPEI	55	87.3%	0.20
17	N.Kvangraven	🇳🇴 NORWAY	39	87.2%	0.13
18	M.Whibley	🇳🇿 NEW ZEALAND	69	87.0%	0.17
19	J.Upmark	🇸🇪 SWEDEN	76	86.8%	0.14
20	R.Lian	🇨🇳 CHINA	44	86.4%	0.14
21	B.Drijver	🇨🇭 SWITZERLAND	51	86.3%	0.14
22	S.De Roos	🇧🇪 BELGIUM	36	86.1%	0.17
23	G.Donati	🇮🇹 ITALY	50	86.0%	0.14
24	U.Tundal	🇳🇴 NORWAY	35	85.7%	0.17
25	Z.Grossack	🇺🇸 USA2	63	85.7%	0.17
26	E.Huang	🇹🇼 CHINESE TAIPEI	41	85.4%	0.20
27	A.Versace	🇮🇹 ITALY	61	85.2%	0.15
28	T.Townsend	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	47	85.1%	0.15
29	L.Milne	🇦🇺 AUSTRALIA	67	85.1%	0.19
30	A.Apteker	🇿🇦 SOUTH AFRICA	47	85.1%	0.23
31	A.Bianchedi	🇦🇷 ARGENTINA	72	84.7%	0.17
32	F.Kolesnik	🇺🇸 USA1	39	84.6%	0.18
33	K.Bathurst	🇺🇸 USA1	69	84.1%	0.20
34	S.Roy	🇮🇳 INDIA	44	84.1%	0.20
35	D.Bilde	🇩🇰 DENMARK	68	83.8%	0.18
36	H.Fick	🇿🇦 SOUTH AFRICA	55	83.6%	0.18
37	C.Bakke	🇳🇴 NORWAY	73	83.6%	0.19
38	A.Sementa	🇮🇹 ITALY	48	83.3%	0.23
39	D.Kim	🇰🇷 KOREA	72	83.3%	0.24
40	K.Nandi	🇮🇳 INDIA	42	83.3%	0.31
41	O.Toledano	🇮🇱 ISRAEL	65	83.1%	0.17
42	B.Handley-Pritchard	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	53	83.0%	0.19
43	J.Rombaut	🇫🇷 FRANCE	47	83.0%	0.19
44	A.Rodrigues	🇧🇷 BRAZIL	70	82.9%	0.20
45	KAMRUZZAMAN A H M	🇧🇩 BANGLADESH	52	82.7%	0.29
46	A.Robson	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	69	82.6%	0.20
47	D.Wiltshire	🇦🇺 AUSTRALIA	40	82.5%	0.17
48	M.Klukowski	🇨🇭 SWITZERLAND	57	82.5%	0.21
49	A.Grossack	🇺🇸 USA1	57	82.5%	0.21
50	R.Tewari	🇮🇳 INDIA	57	82.5%	0.21
51	G.Arts	🇧🇪 BELGIUM	40	82.5%	0.23
52	A.Zamir	🇮🇱 ISRAEL	57	82.5%	0.23
53	C.Lorenzini	🇫🇷 FRANCE	74	82.4%	0.20
54	B.Brogeland	🇳🇴 NORWAY	78	82.1%	0.19
55	R.Stephens	🇿🇦 SOUTH AFRICA	67	82.1%	0.19
56	M.Brown	🇳🇿 NEW ZEALAND	61	82.0%	0.18
57	C.Pellegrini	🇦🇷 ARGENTINA	55	81.8%	0.20
58	P.Mathieu	🇬🇵 GUADELOUPE	60	81.7%	0.27
59	L.Rizzo	🇦🇷 ARGENTINA	54	81.5%	0.20
60	J.Smith	🇨🇦 CANADA	54	81.5%	0.26
61	F.Nystrom	🇸🇪 SWEDEN	54	81.5%	0.33
62	C.Garnier	🇬🇵 GUADELOUPE	70	81.4%	0.23
63	A.Plejdrup-Meister	🇩🇰 DENMARK	37	81.1%	0.24
64	D.Miles	🇨🇦 CANADA	52	80.8%	0.29
65	C.Chou	🇹🇼 CHINESE TAIPEI	36	80.6%	0.19
66	L.Kuo	🇹🇼 CHINESE TAIPEI	67	80.6%	0.22
67	Y.Lian	🇨🇳 CHINA	41	80.5%	0.20
68	P.Franceschetti	🇫🇷 FRANCE	41	80.5%	0.22
69	M.Toma	🇧🇷 BRAZIL	66	80.3%	0.24
70	A.Meddeb	🇹🇳 TUNISIA	61	80.3%	0.26
71	S.Haque	🇧🇩 BANGLADESH	50	80.0%	0.22
72	M.Ispahani	🇧🇩 BANGLADESH	45	80.0%	0.22
73	K.Konow	🇩🇰 DENMARK	35	80.0%	0.23
74	S.Bahbout	🇧🇪 BELGIUM	50	80.0%	0.24
75	C.Dehaye	🇧🇪 BELGIUM	59	79.7%	0.29
76	M.Figueiredo	🇧🇷 BRAZIL	54	79.6%	0.24
77	A.Mestiri	🇹🇳 TUNISIA	49	79.6%	0.24
78	K.Bendre	🇮🇳 INDIA	78	79.5%	0.23
79	S.Mukherjee	🇮🇳 INDIA	44	79.5%	0.27
80	S.Lee	🇰🇷 KOREA	88	79.5%	0.28
81	M.Rosenberg	🇺🇸 USA2	58	79.3%	0.21
82	M.Ghodhbane	🇹🇳 TUNISIA	58	79.3%	0.22
83	L.Rombaut	🇫🇷 FRANCE	48	79.2%	0.25
84	M.Mayer	🇳🇿 NEW ZEALAND	48	79.2%	0.27
85	P.Markey	🇦🇺 AUSTRALIA	77	79.2%	0.27
86	J.Hurd	🇺🇸 USA1	62	79.0%	0.27
87	S.Kushari	🇮🇳 INDIA	57	78.9%	0.26
88	T.Grude	🇳🇴 NORWAY	52	78.8%	0.21
89	W.Bellazreg	🇹🇳 TUNISIA	60	78.3%	0.25
90	M.Rahman	🇧🇩 BANGLADESH	46	78.3%	0.28
91	N.Eber	🇿🇦 SOUTH AFRICA	46	78.3%	0.30
92	G.Helgemo	🇳🇴 NORWAY	55	78.2%	0.26
93	N.Apteker	🇿🇦 SOUTH AFRICA	55	78.2%	0.27
94	S.De Donder	🇧🇪 BELGIUM	86	77.9%	0.22
95	Y.Cai	🇨🇳 CHINA	77	77.9%	0.30
96	E.Ginossar	🇺🇸 USA2	63	77.8%	0.24
97	S.Brink	🇨🇭 SWITZERLAND	63	77.8%	0.24
98	F.Dufau	🇬🇵 GUADELOUPE	45	77.8%	0.29
99	P.Cullin	🇸🇪 SWEDEN	49	77.6%	0.31
100	M.Schaltz	🇩🇰 DENMARK	89	77.5%	0.24
101	M.Hossain	🇧🇩 BANGLADESH	71	77.5%	0.24
102	A.Madala	🇦🇷 ARGENTINA	84	77.4%	0.27
103	A.Silverstein	🇺🇸 USA2	44	77.3%	0.23
104	B.Norton	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	44	77.3%	0.29
105	M.Askgaard	🇩🇰 DENMARK	44	77.3%	0.34
106	H.So	🇹🇼 CHINESE TAIPEI	70	77.1%	0.29
107	F.Pollack	🇨🇦 CANADA	61	77.0%	0.25
108	O.Herbst	🇮🇱 ISRAEL	26	76.9%	0.35
109	I.Herbst	🇮🇱 ISRAEL	30	76.7%	0.27
110	J.Li	🇨🇳 CHINA	47	76.6%	0.30
111	S.Roh	🇰🇷 KOREA	85	76.5%	0.28
112	O.Meddeb	🇹🇳 TUNISIA	51	76.5%	0.29
113	A.Rosenthal	🇺🇸 USA2	38	76.3%	0.34
114	I.Berrington	🇳🇿 NEW ZEALAND	54	75.9%	0.30
115	P.Zimmermann	🇨🇭 SWITZERLAND	45	75.6%	0.31
116	E.Wold	🇺🇸 USA1	49	75.5%	0.29
117	M.Di Franco	🇮🇹 ITALY	49	75.5%	0.29
118	J.Haffer	🇦🇺 AUSTRALIA	44	75.0%	0.25
119	G.Percario	🇮🇹 ITALY	52	75.0%	0.27
120	B.Dehaye	🇧🇪 BELGIUM	60	75.0%	0.32
121	D.Padon	🇮🇱 ISRAEL	72	75.0%	0.32
122	C.Willenken	🇺🇸 USA2	56	75.0%	0.32
123	J.Campos	🇧🇷 BRAZIL	63	74.6%	0.32
124	A.Kaplan	🇺🇸 USA1	47	74.5%	0.28
125	S.Tommasini	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	51	74.5%	0.29
126	ALAUDDIN MD	🇧🇩 BANGLADESH	55	74.5%	0.31
127	M.Fourati	🇹🇳 TUNISIA	55	74.5%	0.34
128	Y.Zhang	🇨🇳 CHINA	66	74.2%	0.32
129	O.Rimstedt	🇸🇪 SWEDEN	65	73.8%	0.32
130	S.Ashton	🇦🇺 AUSTRALIA	56	73.2%	0.32
131	L.Soudan	🇬🇵 GUADELOUPE	59	72.9%	0.30
132	B.Mace	🇳🇿 NEW ZEALAND	53	69.8%	0.40
133	O.Tolza	🇬🇵 GUADELOUPE	39	69.2%	0.33
134	T.Kuo	🇹🇼 CHINESE TAIPEI	44	68.2%	0.36
135	N.L'Ecuyer	🇨🇦 CANADA	53	67.9%	0.38
136	B.Combescure	🇫🇷 FRANCE	37	67.6%	0.43
137	D.Wolpert	🇨🇦 CANADA	43	67.4%	0.33
138	A.Manno	🇮🇹 ITALY	54	66.7%	0.39
139	G.Tuffnell	🇳🇿 NEW ZEALAND	43	60.5%	0.49
140	M.Cloppet	🇦🇷 ARGENTINA	27	88.9%	0.15
141	J.Popowsky	🇦🇷 ARGENTINA	26	88.5%	0.15

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	A.Silverstein	🇺🇸 USA2	32	87.5%	0.12
2	Z.Grossack	🇺🇸 USA2	61	86.9%	0.20
3	F.Kolesnik	🇺🇸 USA1	44	86.4%	0.16
4	M.Schaltz	🇩🇰 DENMARK	73	86.3%	0.14
5	F.Nystrom	🇸🇪 SWEDEN	57	86.0%	0.14
6	J.Upmark	🇸🇪 SWEDEN	50	86.0%	0.18
7	Y.Lian	🇨🇳 CHINA	50	86.0%	0.18
8	I.Herbst	🇮🇱 ISRAEL	35	85.7%	0.20
9	C.Gower	🇿🇦 SOUTH AFRICA	67	85.1%	0.19
10	M.Nowosadzki	🇨🇭 SWITZERLAND	46	84.8%	0.20
11	G.Percario	🇮🇹 ITALY	59	84.7%	0.15
12	T.Grude	🇳🇴 NORWAY	59	84.7%	0.24
13	M.Figueiredo	🇧🇷 BRAZIL	64	84.4%	0.22
14	B.Mace	🇳🇿 NEW ZEALAND	44	84.1%	0.20
15	O.Herbst	🇮🇱 ISRAEL	49	83.7%	0.20
16	C.Lorenzini	🇫🇷 FRANCE	67	83.6%	0.18
17	S.Brink	🇨🇭 SWITZERLAND	53	83.0%	0.17
18	J.Campos	🇧🇷 BRAZIL	64	82.8%	0.23
19	Y.Zhang	🇨🇳 CHINA	52	82.7%	0.17
20	B.Norton	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	40	82.5%	0.23
21	B.Drijver	🇨🇭 SWITZERLAND	57	82.5%	0.23
22	M.Rimstedt	🇸🇪 SWEDEN	51	82.4%	0.23
23	A.Plejdrup-Meister	🇩🇰 DENMARK	45	82.2%	0.18
24	B.Brogeland	🇳🇴 NORWAY	53	81.1%	0.19
25	F.Pollack	🇨🇦 CANADA	47	80.9%	0.19
26	M.Klukowski	🇨🇭 SWITZERLAND	68	80.9%	0.25
27	J.Hurd	🇺🇸 USA1	73	80.8%	0.23
28	T.Townsend	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	51	80.4%	0.23
29	O.Toledano	🇮🇱 ISRAEL	56	80.4%	0.25
30	S.Haque	🇧🇩 BANGLADESH	51	80.4%	0.28
31	B.Dehaye	🇧🇪 BELGIUM	51	80.4%	0.29
32	S.Mukherjee	🇮🇳 INDIA	61	80.3%	0.21
33	M.Hossain	🇧🇩 BANGLADESH	66	80.3%	0.23
34	C.Lahrmann	🇩🇰 DENMARK	50	80.0%	0.24
35	M.Toma	🇧🇷 BRAZIL	60	80.0%	0.27
36	A.Robson	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	50	80.0%	0.28
37	D.Padon	🇮🇱 ISRAEL	69	79.7%	0.20
38	D.Gold	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	79	79.7%	0.21
39	E.Huang	🇹🇼 CHINESE TAIPEI	54	79.6%	0.24
40	M.Askgaard	🇩🇰 DENMARK	39	79.5%	0.26
41	L.Soudan	🇬🇵 GUADELOUPE	58	79.3%	0.24
42	Y.Cai	🇨🇳 CHINA	58	79.3%	0.28
43	A.Grossack	🇺🇸 USA1	48	79.2%	0.23
44	A.Versace	🇮🇹 ITALY	48	79.2%	0.25
45	A.Manno	🇮🇹 ITALY	48	79.2%	0.33
46	KAMRUZZAMAN A H M	🇧🇩 BANGLADESH	57	78.9%	0.23
47	S.De Roos	🇧🇪 BELGIUM	47	78.7%	0.26
48	J.Haffer	🇦🇺 AUSTRALIA	47	78.7%	0.26
49	S.De Donder	🇧🇪 BELGIUM	61	78.7%	0.26
50	J.Rombaut	🇫🇷 FRANCE	61	78.7%	0.28
51	S.Ashton	🇦🇺 AUSTRALIA	47	78.7%	0.30
52	M.Brown	🇳🇿 NEW ZEALAND	51	78.4%	0.23
53	C.Chou	🇹🇼 CHINESE TAIPEI	51	78.4%	0.23
54	A.Madala	🇦🇷 ARGENTINA	88	78.4%	0.26
55	M.Ghodhbane	🇹🇳 TUNISIA	50	78.0%	0.24
56	U.Tundal	🇳🇴 NORWAY	41	78.0%	0.27
57	D.Bilde	🇩🇰 DENMARK	77	77.9%	0.27
58	M.Michielsen	🇸🇪 SWEDEN	45	77.8%	0.22
59	G.Donati	🇮🇹 ITALY	63	77.8%	0.24
60	M.Di Franco	🇮🇹 ITALY	58	77.6%	0.26
61	C.Bakke	🇳🇴 NORWAY	62	77.4%	0.26
62	M.Villas-Boas	🇧🇷 BRAZIL	66	77.3%	0.27
63	R.Tewari	🇮🇳 INDIA	48	77.1%	0.29
64	N.Kvangraven	🇳🇴 NORWAY	39	76.9%	0.26
65	C.Pellegrini	🇦🇷 ARGENTINA	56	76.8%	0.29
66	K.Bendre	🇮🇳 INDIA	56	76.8%	0.29
67	M.Fourati	🇹🇳 TUNISIA	47	76.6%	0.28
68	E.Wold	🇺🇸 USA1	55	76.4%	0.26
69	J.Kalita	🇨🇭 SWITZERLAND	72	76.4%	0.31
70	N.L'Ecuyer	🇨🇦 CANADA	63	76.2%	0.27
71	R.Lian	🇨🇳 CHINA	46	76.1%	0.28
72	A.Apteker	🇿🇦 SOUTH AFRICA	46	76.1%	0.33
73	D.Miles	🇨🇦 CANADA	50	76.0%	0.30
74	K.Konow	🇩🇰 DENMARK	50	76.0%	0.32
75	R.Stephens	🇿🇦 SOUTH AFRICA	58	75.9%	0.28
76	G.Helgemo	🇳🇴 NORWAY	58	75.9%	0.31
77	J.Coutts	🇦🇺 AUSTRALIA	58	75.9%	0.33
78	A.Sementa	🇮🇹 ITALY	53	75.5%	0.32
79	M.Whibley	🇳🇿 NEW ZEALAND	57	75.4%	0.28
80	M.Rosenberg	🇺🇸 USA2	56	75.0%	0.29
81	W.Bellazreg	🇹🇳 TUNISIA	56	75.0%	0.32
82	S.Roh	🇰🇷 KOREA	80	75.0%	0.33
83	A.Rosenthal	🇺🇸 USA2	40	75.0%	0.33
84	A.Bianchedi	🇦🇷 ARGENTINA	76	75.0%	0.33
85	J.Feldman	🇨🇦 CANADA	63	74.6%	0.32
86	D.Gerin	🇬🇵 GUADELOUPE	51	74.5%	0.33
87	P.Zimmermann	🇨🇭 SWITZERLAND	35	74.3%	0.29
88	J.Smith	🇨🇦 CANADA	62	74.2%	0.40
89	P.Markey	🇦🇺 AUSTRALIA	54	74.1%	0.28
90	A.Mestiri	🇹🇳 TUNISIA	58	74.1%	0.41
91	E.Ginossar	🇺🇸 USA2	69	73.9%	0.28
92	B.Combescure	🇫🇷 FRANCE	46	73.9%	0.30
93	S.Tommasini	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	46	73.9%	0.37
94	P.Mathieu	🇬🇵 GUADELOUPE	61	73.8%	0.33
95	F.Dufau	🇬🇵 GUADELOUPE	42	73.8%	0.33
96	S.Kushari	🇮🇳 INDIA	61	73.8%	0.36
97	B.Handley-Pritchard	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	57	73.7%	0.30
98	D.Kim	🇰🇷 KOREA	87	73.6%	0.29
99	A.Rodrigues	🇧🇷 BRAZIL	72	73.6%	0.32
100	P.Franceschetti	🇫🇷 FRANCE	44	72.7%	0.32
101	C.Garnier	🇬🇵 GUADELOUPE	55	72.7%	0.33
102	K.Bathurst	🇺🇸 USA1	62	72.6%	0.34
103	G.Sun	🇨🇳 CHINA	58	72.4%	0.36
104	C.Dehaye	🇧🇪 BELGIUM	54	72.2%	0.32
105	H.So	🇹🇼 CHINESE TAIPEI	68	72.1%	0.32
106	T.Bessis	🇫🇷 FRANCE	60	71.7%	0.32
107	A.Birman	🇮🇱 ISRAEL	49	71.4%	0.37
108	L.Milne	🇦🇺 AUSTRALIA	55	70.9%	0.38
109	S.Kang	🇰🇷 KOREA	72	70.8%	0.29
110	M.Rahman	🇧🇩 BANGLADESH	41	70.7%	0.32
111	L.Rizzo	🇦🇷 ARGENTINA	58	70.7%	0.38
112	N.Eber	🇿🇦 SOUTH AFRICA	51	70.6%	0.33
113	N.Apteker	🇿🇦 SOUTH AFRICA	44	70.5%	0.32
114	S.Roy	🇮🇳 INDIA	54	70.4%	0.33
115	L.Kuo	🇹🇼 CHINESE TAIPEI	60	70.0%	0.42
116	M.Mayer	🇳🇿 NEW ZEALAND	50	70.0%	0.54
117	A.Zamir	🇮🇱 ISRAEL	73	69.9%	0.37
118	I.Berrington	🇳🇿 NEW ZEALAND	53	69.8%	0.38
119	J.Li	🇨🇳 CHINA	59	69.5%	0.39
120	O.Rimstedt	🇸🇪 SWEDEN	55	69.1%	0.47
121	H.Fick	🇿🇦 SOUTH AFRICA	58	69.0%	0.52
122	C.Willenken	🇺🇸 USA2	64	68.8%	0.34
123	L.Rombaut	🇫🇷 FRANCE	54	68.5%	0.35
124	P.Cullin	🇸🇪 SWEDEN	44	68.2%	0.41
125	M.Ispahani	🇧🇩 BANGLADESH	50	68.0%	0.36
126	D.Wiltshire	🇦🇺 AUSTRALIA	53	67.9%	0.38
127	Y.Lee	🇹🇼 CHINESE TAIPEI	56	67.9%	0.48
128	G.Tuffnell	🇳🇿 NEW ZEALAND	59	67.8%	0.36
129	A.Meddeb	🇹🇳 TUNISIA	64	67.2%	0.47
130	ALAUDDIN MD	🇧🇩 BANGLADESH	60	66.7%	0.38
131	S.Lee	🇰🇷 KOREA	74	66.2%	0.45
132	A.Kaplan	🇺🇸 USA1	38	65.8%	0.42
133	D.Wolpert	🇨🇦 CANADA	51	64.7%	0.49
134	G.Arts	🇧🇪 BELGIUM	45	64.4%	0.42
135	K.Nandi	🇮🇳 INDIA	42	64.3%	0.48
136	T.Kuo	🇹🇼 CHINESE TAIPEI	41	63.4%	0.44
137	O.Tolza	🇬🇵 GUADELOUPE	41	63.4%	0.46
138	S.Bahbout	🇧🇪 BELGIUM	55	61.8%	0.44
139	O.Meddeb	🇹🇳 TUNISIA	34	58.8%	0.68
140	M.Cloppet	🇦🇷 ARGENTINA	28	78.6%	0.32
141	J.Popowsky	🇦🇷 ARGENTINA	19	73.7%	0.32

Defensive accuracy↑ top

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

#	Player	Team	Boards	On target	Conceded
1	J.Kalita	🇨🇭 SWITZERLAND	126	94.4%	0.06
2	M.Klukowski	🇨🇭 SWITZERLAND	126	94.4%	0.06
3	A.Grossack	🇺🇸 USA1	106	93.4%	0.07
4	E.Wold	🇺🇸 USA1	106	93.4%	0.07
5	C.Lahrmann	🇩🇰 DENMARK	73	93.2%	0.07
6	A.Plejdrup-Meister	🇩🇰 DENMARK	73	93.2%	0.07
7	M.Rimstedt	🇸🇪 SWEDEN	118	92.4%	0.08
8	O.Rimstedt	🇸🇪 SWEDEN	118	92.4%	0.08
9	E.Ginossar	🇺🇸 USA2	119	92.4%	0.09
10	C.Willenken	🇺🇸 USA2	119	92.4%	0.09
11	G.Donati	🇮🇹 ITALY	102	92.2%	0.08
12	G.Percario	🇮🇹 ITALY	102	92.2%	0.08
13	L.Rizzo	🇦🇷 ARGENTINA	103	92.2%	0.08
14	B.Mace	🇳🇿 NEW ZEALAND	101	92.1%	0.09
15	M.Mayer	🇳🇿 NEW ZEALAND	101	92.1%	0.09
16	T.Bessis	🇫🇷 FRANCE	138	92.0%	0.08
17	C.Lorenzini	🇫🇷 FRANCE	138	92.0%	0.08
18	A.Kaplan	🇺🇸 USA1	86	91.9%	0.08
19	F.Kolesnik	🇺🇸 USA1	86	91.9%	0.08
20	A.Apteker	🇿🇦 SOUTH AFRICA	97	91.8%	0.08
21	C.Gower	🇿🇦 SOUTH AFRICA	97	91.8%	0.08
22	Z.Grossack	🇺🇸 USA2	121	91.7%	0.09
23	M.Rosenberg	🇺🇸 USA2	121	91.7%	0.09
24	T.Grude	🇳🇴 NORWAY	107	91.6%	0.09
25	G.Helgemo	🇳🇴 NORWAY	107	91.6%	0.09
26	C.Bakke	🇳🇴 NORWAY	151	91.4%	0.10
27	B.Brogeland	🇳🇴 NORWAY	151	91.4%	0.10
28	M.Di Franco	🇮🇹 ITALY	103	91.3%	0.09
29	A.Manno	🇮🇹 ITALY	103	91.3%	0.09
30	A.Birman	🇮🇱 ISRAEL	134	90.3%	0.10
31	D.Padon	🇮🇱 ISRAEL	134	90.3%	0.10
32	J.Li	🇨🇳 CHINA	113	90.3%	0.12
33	Y.Zhang	🇨🇳 CHINA	113	90.3%	0.12
34	P.Cullin	🇸🇪 SWEDEN	93	90.3%	0.13
35	M.Michielsen	🇸🇪 SWEDEN	93	90.3%	0.13
36	D.Gold	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	123	90.2%	0.11
37	A.Robson	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	123	90.2%	0.11
38	A.Madala	🇦🇷 ARGENTINA	162	90.1%	0.10
39	J.Coutts	🇦🇺 AUSTRALIA	111	90.1%	0.11
40	L.Milne	🇦🇺 AUSTRALIA	111	90.1%	0.11
41	B.Dehaye	🇧🇪 BELGIUM	119	89.9%	0.14
42	C.Dehaye	🇧🇪 BELGIUM	119	89.9%	0.14
43	C.Pellegrini	🇦🇷 ARGENTINA	118	89.8%	0.11
44	I.Berrington	🇳🇿 NEW ZEALAND	97	89.7%	0.14
45	G.Tuffnell	🇳🇿 NEW ZEALAND	97	89.7%	0.14
46	K.Bathurst	🇺🇸 USA1	131	89.3%	0.11
47	J.Hurd	🇺🇸 USA1	131	89.3%	0.11
48	I.Herbst	🇮🇱 ISRAEL	56	89.3%	0.11
49	O.Herbst	🇮🇱 ISRAEL	56	89.3%	0.11
50	F.Nystrom	🇸🇪 SWEDEN	130	89.2%	0.12
51	J.Upmark	🇸🇪 SWEDEN	130	89.2%	0.12
52	L.Kuo	🇹🇼 CHINESE TAIPEI	137	89.1%	0.12
53	H.So	🇹🇼 CHINESE TAIPEI	137	89.1%	0.12
54	K.Bendre	🇮🇳 INDIA	135	88.9%	0.13
55	S.Kushari	🇮🇳 INDIA	135	88.9%	0.13
56	B.Norton	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	95	88.4%	0.12
57	S.Tommasini	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	95	88.4%	0.12
58	Y.Cai	🇨🇳 CHINA	121	88.4%	0.13
59	G.Sun	🇨🇳 CHINA	121	88.4%	0.13
60	D.Bilde	🇩🇰 DENMARK	157	87.9%	0.12
61	M.Schaltz	🇩🇰 DENMARK	157	87.9%	0.12
62	F.Pollack	🇨🇦 CANADA	115	87.8%	0.14
63	J.Smith	🇨🇦 CANADA	115	87.8%	0.14
64	N.Apteker	🇿🇦 SOUTH AFRICA	122	87.7%	0.14
65	R.Stephens	🇿🇦 SOUTH AFRICA	122	87.7%	0.14
66	M.Nowosadzki	🇨🇭 SWITZERLAND	73	87.7%	0.15
67	P.Zimmermann	🇨🇭 SWITZERLAND	73	87.7%	0.15
68	M.Fourati	🇹🇳 TUNISIA	113	87.6%	0.17
69	M.Ghodhbane	🇹🇳 TUNISIA	113	87.6%	0.17
70	S.Bahbout	🇧🇪 BELGIUM	136	87.5%	0.13
71	S.De Donder	🇧🇪 BELGIUM	136	87.5%	0.13
72	K.Nandi	🇮🇳 INDIA	86	87.2%	0.15
73	S.Roy	🇮🇳 INDIA	86	87.2%	0.15
74	A.Bianchedi	🇦🇷 ARGENTINA	139	87.1%	0.17
75	C.Garnier	🇬🇵 GUADELOUPE	132	87.1%	0.17
76	D.Gerin	🇬🇵 GUADELOUPE	132	87.1%	0.17
77	S.Mukherjee	🇮🇳 INDIA	101	87.1%	0.17
78	R.Tewari	🇮🇳 INDIA	101	87.1%	0.17
79	G.Arts	🇧🇪 BELGIUM	76	86.8%	0.13
80	S.De Roos	🇧🇪 BELGIUM	76	86.8%	0.13
81	N.Kvangraven	🇳🇴 NORWAY	74	86.5%	0.18
82	U.Tundal	🇳🇴 NORWAY	74	86.5%	0.18
83	S.Ashton	🇦🇺 AUSTRALIA	96	86.5%	0.18
84	D.Wiltshire	🇦🇺 AUSTRALIA	96	86.5%	0.18
85	M.Brown	🇳🇿 NEW ZEALAND	130	86.2%	0.15
86	M.Whibley	🇳🇿 NEW ZEALAND	130	86.2%	0.15
87	O.Toledano	🇮🇱 ISRAEL	122	86.1%	0.16
88	A.Zamir	🇮🇱 ISRAEL	122	86.1%	0.16
89	S.Brink	🇨🇭 SWITZERLAND	114	86.0%	0.15
90	B.Drijver	🇨🇭 SWITZERLAND	114	86.0%	0.15
91	T.Kuo	🇹🇼 CHINESE TAIPEI	99	85.9%	0.14
92	Y.Lee	🇹🇼 CHINESE TAIPEI	99	85.9%	0.14
93	S.Kang	🇰🇷 KOREA	170	85.9%	0.16
94	S.Roh	🇰🇷 KOREA	170	85.9%	0.16
95	R.Lian	🇨🇳 CHINA	85	85.9%	0.23
96	Y.Lian	🇨🇳 CHINA	85	85.9%	0.23
97	N.Eber	🇿🇦 SOUTH AFRICA	101	85.1%	0.17
98	H.Fick	🇿🇦 SOUTH AFRICA	101	85.1%	0.17
99	M.Askgaard	🇩🇰 DENMARK	79	84.8%	0.17
100	K.Konow	🇩🇰 DENMARK	79	84.8%	0.17
101	A.Rosenthal	🇺🇸 USA2	82	84.1%	0.20
102	A.Silverstein	🇺🇸 USA2	82	84.1%	0.20
103	M.Villas-Boas	🇧🇷 BRAZIL	128	83.6%	0.20
104	A.Sementa	🇮🇹 ITALY	109	83.5%	0.18
105	A.Versace	🇮🇹 ITALY	109	83.5%	0.18
106	S.Haque	🇧🇩 BANGLADESH	121	83.5%	0.19
107	M.Hossain	🇧🇩 BANGLADESH	121	83.5%	0.19
108	W.Bellazreg	🇹🇳 TUNISIA	109	83.5%	0.21
109	A.Mestiri	🇹🇳 TUNISIA	109	83.5%	0.21
110	N.L'Ecuyer	🇨🇦 CANADA	96	83.3%	0.24
111	D.Wolpert	🇨🇦 CANADA	96	83.3%	0.24
112	D.Kim	🇰🇷 KOREA	160	83.1%	0.19
113	S.Lee	🇰🇷 KOREA	160	83.1%	0.19
114	C.Chou	🇹🇼 CHINESE TAIPEI	77	83.1%	0.21
115	E.Huang	🇹🇼 CHINESE TAIPEI	77	83.1%	0.21
116	M.Figueiredo	🇧🇷 BRAZIL	122	82.8%	0.22
117	J.Feldman	🇨🇦 CANADA	97	82.5%	0.17
118	D.Miles	🇨🇦 CANADA	97	82.5%	0.17
119	J.Campos	🇧🇷 BRAZIL	127	81.9%	0.24
120	A.Rodrigues	🇧🇷 BRAZIL	131	81.7%	0.24
121	M.Ispahani	🇧🇩 BANGLADESH	91	81.3%	0.21
122	M.Rahman	🇧🇩 BANGLADESH	91	81.3%	0.21
123	J.Rombaut	🇫🇷 FRANCE	95	81.1%	0.24
124	L.Rombaut	🇫🇷 FRANCE	95	81.1%	0.24
125	P.Mathieu	🇬🇵 GUADELOUPE	119	80.7%	0.23
126	L.Soudan	🇬🇵 GUADELOUPE	119	80.7%	0.23
127	M.Toma	🇧🇷 BRAZIL	128	80.5%	0.24
128	ALAUDDIN MD	🇧🇩 BANGLADESH	107	80.4%	0.23
129	KAMRUZZAMAN A H M	🇧🇩 BANGLADESH	107	80.4%	0.23
130	J.Haffer	🇦🇺 AUSTRALIA	121	80.2%	0.21
131	P.Markey	🇦🇺 AUSTRALIA	121	80.2%	0.21
132	B.Combescure	🇫🇷 FRANCE	78	79.5%	0.22
133	P.Franceschetti	🇫🇷 FRANCE	78	79.5%	0.22
134	B.Handley-Pritchard	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	100	78.0%	0.25
135	T.Townsend	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	100	78.0%	0.25
136	A.Meddeb	🇹🇳 TUNISIA	112	75.9%	0.28
137	O.Meddeb	🇹🇳 TUNISIA	112	75.9%	0.28
138	F.Dufau	🇬🇵 GUADELOUPE	84	70.2%	0.37
139	O.Tolza	🇬🇵 GUADELOUPE	84	70.2%	0.37
140	M.Cloppet	🇦🇷 ARGENTINA	55	90.9%	0.09
141	J.Popowsky	🇦🇷 ARGENTINA	59	81.4%	0.27

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	I.Herbst	🇮🇱 ISRAEL	377	207	54.9%
2	O.Herbst	🇮🇱 ISRAEL	380	199	52.4%
3	P.Franceschetti	🇫🇷 FRANCE	464	238	51.3%
4	L.Rombaut	🇫🇷 FRANCE	596	295	49.5%
5	D.Wiltshire	🇦🇺 AUSTRALIA	552	273	49.5%
6	L.Milne	🇦🇺 AUSTRALIA	615	303	49.3%
7	G.Percario	🇮🇹 ITALY	679	332	48.9%
8	K.Konow	🇩🇰 DENMARK	487	238	48.9%
9	B.Combescure	🇫🇷 FRANCE	456	223	48.9%
10	J.Kalita	🇨🇭 SWITZERLAND	761	366	48.1%
11	H.Fick	🇿🇦 SOUTH AFRICA	569	273	48.0%
12	J.Rombaut	🇫🇷 FRANCE	617	295	47.8%
13	C.Chou	🇹🇼 CHINESE TAIPEI	499	238	47.7%
14	P.Zimmermann	🇨🇭 SWITZERLAND	403	192	47.6%
15	M.Nowosadzki	🇨🇭 SWITZERLAND	400	190	47.5%
16	M.Rimstedt	🇸🇪 SWEDEN	645	306	47.4%
17	G.Donati	🇮🇹 ITALY	688	325	47.2%
18	S.De Roos	🇧🇪 BELGIUM	463	218	47.1%
19	N.Kvangraven	🇳🇴 NORWAY	440	207	47.0%
20	M.Di Franco	🇮🇹 ITALY	586	275	46.9%
21	P.Cullin	🇸🇪 SWEDEN	523	245	46.8%
22	S.Roy	🇮🇳 INDIA	515	241	46.8%
23	M.Whibley	🇳🇿 NEW ZEALAND	669	312	46.6%
24	E.Huang	🇹🇼 CHINESE TAIPEI	487	227	46.6%
25	J.Coutts	🇦🇺 AUSTRALIA	619	288	46.5%
26	D.Kim	🇰🇷 KOREA	946	439	46.4%
27	G.Tuffnell	🇳🇿 NEW ZEALAND	577	268	46.4%
28	M.Michielsen	🇸🇪 SWEDEN	526	243	46.2%
29	A.Plejdrup-Meister	🇩🇰 DENMARK	479	221	46.1%
30	S.Ashton	🇦🇺 AUSTRALIA	564	259	45.9%
31	U.Tundal	🇳🇴 NORWAY	440	202	45.9%
32	M.Brown	🇳🇿 NEW ZEALAND	666	305	45.8%
33	I.Berrington	🇳🇿 NEW ZEALAND	581	266	45.8%
34	G.Arts	🇧🇪 BELGIUM	455	208	45.7%
35	A.Madala	🇦🇷 ARGENTINA	888	405	45.6%
36	G.Sun	🇨🇳 CHINA	688	314	45.6%
37	N.Eber	🇿🇦 SOUTH AFRICA	586	267	45.6%
38	J.Hurd	🇺🇸 USA1	745	338	45.4%
39	O.Toledano	🇮🇱 ISRAEL	712	323	45.4%
40	J.Feldman	🇨🇦 CANADA	586	266	45.4%
41	Z.Grossack	🇺🇸 USA2	680	308	45.3%
42	KAMRUZZAMAN A H M	🇧🇩 BANGLADESH	623	282	45.3%
43	S.Mukherjee	🇮🇳 INDIA	554	251	45.3%
44	A.Robson	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	710	321	45.2%
45	A.Sementa	🇮🇹 ITALY	617	279	45.2%
46	M.Hossain	🇧🇩 BANGLADESH	654	295	45.1%
47	Y.Lian	🇨🇳 CHINA	526	237	45.1%
48	M.Askgaard	🇩🇰 DENMARK	493	222	45.0%
49	M.Klukowski	🇨🇭 SWITZERLAND	764	343	44.9%
50	Y.Zhang	🇨🇳 CHINA	637	286	44.9%
51	J.Smith	🇨🇦 CANADA	626	281	44.9%
52	A.Versace	🇮🇹 ITALY	613	275	44.9%
53	A.Apteker	🇿🇦 SOUTH AFRICA	593	266	44.9%
54	D.Miles	🇨🇦 CANADA	584	262	44.9%
55	K.Bathurst	🇺🇸 USA1	745	334	44.8%
56	R.Lian	🇨🇳 CHINA	511	229	44.8%
57	Y.Cai	🇨🇳 CHINA	693	310	44.7%
58	F.Pollack	🇨🇦 CANADA	631	282	44.7%
59	B.Handley-Pritchard	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	570	255	44.7%
60	L.Kuo	🇹🇼 CHINESE TAIPEI	748	333	44.5%
61	A.Manno	🇮🇹 ITALY	593	263	44.4%
62	A.Grossack	🇺🇸 USA1	554	246	44.4%
63	A.Zamir	🇮🇱 ISRAEL	701	310	44.2%
64	D.Bilde	🇩🇰 DENMARK	892	393	44.1%
65	F.Nystrom	🇸🇪 SWEDEN	714	315	44.1%
66	C.Gower	🇿🇦 SOUTH AFRICA	592	261	44.1%
67	C.Lahrmann	🇩🇰 DENMARK	485	214	44.1%
68	O.Rimstedt	🇸🇪 SWEDEN	655	288	44.0%
69	B.Norton	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	498	219	44.0%
70	J.Campos	🇧🇷 BRAZIL	752	329	43.8%
71	A.Bianchedi	🇦🇷 ARGENTINA	783	342	43.7%
72	J.Upmark	🇸🇪 SWEDEN	721	315	43.7%
73	D.Gold	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	714	312	43.7%
74	E.Ginossar	🇺🇸 USA2	710	310	43.7%
75	S.Brink	🇨🇭 SWITZERLAND	636	278	43.7%
76	N.L'Ecuyer	🇨🇦 CANADA	574	251	43.7%
77	A.Rodrigues	🇧🇷 BRAZIL	750	327	43.6%
78	L.Soudan	🇬🇵 GUADELOUPE	661	288	43.6%
79	Y.Lee	🇹🇼 CHINESE TAIPEI	514	224	43.6%
80	S.Lee	🇰🇷 KOREA	941	409	43.5%
81	S.Tommasini	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	506	220	43.5%
82	R.Tewari	🇮🇳 INDIA	562	244	43.4%
83	L.Rizzo	🇦🇷 ARGENTINA	637	274	43.0%
84	F.Kolesnik	🇺🇸 USA1	483	207	42.9%
85	C.Pellegrini	🇦🇷 ARGENTINA	670	287	42.8%
86	D.Wolpert	🇨🇦 CANADA	566	242	42.8%
87	M.Schaltz	🇩🇰 DENMARK	889	380	42.7%
88	B.Drijver	🇨🇭 SWITZERLAND	640	273	42.7%
89	C.Dehaye	🇧🇪 BELGIUM	623	266	42.7%
90	K.Nandi	🇮🇳 INDIA	510	218	42.7%
91	G.Helgemo	🇳🇴 NORWAY	627	267	42.6%
92	T.Townsend	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	574	244	42.5%
93	E.Wold	🇺🇸 USA1	556	236	42.4%
94	A.Silverstein	🇺🇸 USA2	415	176	42.4%
95	T.Kuo	🇹🇼 CHINESE TAIPEI	522	221	42.3%
96	S.Kang	🇰🇷 KOREA	970	409	42.2%
97	S.Roh	🇰🇷 KOREA	958	403	42.1%
98	M.Toma	🇧🇷 BRAZIL	703	296	42.1%
99	S.Haque	🇧🇩 BANGLADESH	660	277	42.0%
100	M.Figueiredo	🇧🇷 BRAZIL	704	295	41.9%
101	D.Padon	🇮🇱 ISRAEL	705	295	41.8%
102	ALAUDDIN MD	🇧🇩 BANGLADESH	633	264	41.7%
103	C.Bakke	🇳🇴 NORWAY	757	315	41.6%
104	H.So	🇹🇼 CHINESE TAIPEI	753	312	41.4%
105	M.Rosenberg	🇺🇸 USA2	677	280	41.4%
106	J.Li	🇨🇳 CHINA	649	269	41.4%
107	M.Mayer	🇳🇿 NEW ZEALAND	570	236	41.4%
108	C.Lorenzini	🇫🇷 FRANCE	774	320	41.3%
109	W.Bellazreg	🇹🇳 TUNISIA	617	255	41.3%
110	A.Rosenthal	🇺🇸 USA2	419	173	41.3%
111	T.Grude	🇳🇴 NORWAY	629	259	41.2%
112	P.Mathieu	🇬🇵 GUADELOUPE	659	271	41.1%
113	T.Bessis	🇫🇷 FRANCE	768	315	41.0%
114	S.Bahbout	🇧🇪 BELGIUM	727	298	41.0%
115	S.Kushari	🇮🇳 INDIA	709	291	41.0%
116	C.Willenken	🇺🇸 USA2	707	290	41.0%
117	M.Villas-Boas	🇧🇷 BRAZIL	723	295	40.8%
118	A.Kaplan	🇺🇸 USA1	490	200	40.8%
119	M.Ghodhbane	🇹🇳 TUNISIA	585	238	40.7%
120	J.Haffer	🇦🇺 AUSTRALIA	578	235	40.7%
121	F.Dufau	🇬🇵 GUADELOUPE	482	196	40.7%
122	M.Fourati	🇹🇳 TUNISIA	579	235	40.6%
123	B.Brogeland	🇳🇴 NORWAY	758	306	40.4%
124	A.Meddeb	🇹🇳 TUNISIA	589	238	40.4%
125	C.Garnier	🇬🇵 GUADELOUPE	645	259	40.2%
126	D.Gerin	🇬🇵 GUADELOUPE	648	259	40.0%
127	O.Meddeb	🇹🇳 TUNISIA	578	231	40.0%
128	M.Ispahani	🇧🇩 BANGLADESH	494	197	39.9%
129	S.De Donder	🇧🇪 BELGIUM	718	286	39.8%
130	A.Birman	🇮🇱 ISRAEL	716	284	39.7%
131	A.Mestiri	🇹🇳 TUNISIA	620	246	39.7%
132	N.Apteker	🇿🇦 SOUTH AFRICA	645	254	39.4%
133	M.Rahman	🇧🇩 BANGLADESH	505	197	39.0%
134	O.Tolza	🇬🇵 GUADELOUPE	480	186	38.8%
135	B.Dehaye	🇧🇪 BELGIUM	634	245	38.6%
136	P.Markey	🇦🇺 AUSTRALIA	587	226	38.5%
137	B.Mace	🇳🇿 NEW ZEALAND	574	220	38.3%
138	K.Bendre	🇮🇳 INDIA	711	270	38.0%
139	R.Stephens	🇿🇦 SOUTH AFRICA	651	239	36.7%
140	J.Popowsky	🇦🇷 ARGENTINA	295	117	39.7%
141	M.Cloppet	🇦🇷 ARGENTINA	318	121	38.1%

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	G.Donati	🇮🇹 ITALY	224	-0.05	+1.24	+1.19	·
2	G.Percario	🇮🇹 ITALY	224	-0.05	+1.24	+1.19	·
3	J.Kalita	🇨🇭 SWITZERLAND	266	+0.18	+0.56	+0.75	▲10
4	M.Klukowski	🇨🇭 SWITZERLAND	266	+0.18	+0.56	+0.75	▲10
5	E.Ginossar	🇺🇸 USA2	252	-0.17	+0.83	+0.65	▼2
6	C.Willenken	🇺🇸 USA2	252	-0.17	+0.83	+0.65	▼2
7	D.Bilde	🇩🇰 DENMARK	308	-0.09	+0.74	+0.65	▼2
8	M.Schaltz	🇩🇰 DENMARK	308	-0.09	+0.74	+0.65	▼2
9	C.Bakke	🇳🇴 NORWAY	266	-0.04	+0.61	+0.57	▼2
10	B.Brogeland	🇳🇴 NORWAY	266	-0.04	+0.61	+0.57	▼2
11	K.Bathurst	🇺🇸 USA1	266	-0.01	+0.57	+0.55	▼2
12	J.Hurd	🇺🇸 USA1	266	-0.01	+0.57	+0.55	▼2
13	O.Toledano	🇮🇱 ISRAEL	252	+0.08	+0.47	+0.55	▲8
14	A.Zamir	🇮🇱 ISRAEL	252	+0.08	+0.47	+0.55	▲8
15	M.Rimstedt	🇸🇪 SWEDEN	224	-0.02	+0.57	+0.54	▼4
16	O.Rimstedt	🇸🇪 SWEDEN	224	-0.02	+0.57	+0.54	▼4
17	D.Gold	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	252	+0.11	+0.41	+0.52	▲8
18	A.Robson	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	252	+0.11	+0.41	+0.52	▲8
19	S.Bahbout	🇧🇪 BELGIUM	252	+0.04	+0.45	+0.50	▲4
20	S.De Donder	🇧🇪 BELGIUM	252	+0.04	+0.45	+0.50	▲4
21	C.Lahrmann	🇩🇰 DENMARK	168	+0.09	+0.40	+0.48	▲7
22	A.Plejdrup-Meister	🇩🇰 DENMARK	168	+0.09	+0.40	+0.48	▲7
23	S.Brink	🇨🇭 SWITZERLAND	224	-0.01	+0.48	+0.47	▼4
24	B.Drijver	🇨🇭 SWITZERLAND	224	-0.01	+0.48	+0.47	▼4
25	F.Nystrom	🇸🇪 SWEDEN	238	-0.09	+0.54	+0.45	▼8
26	J.Upmark	🇸🇪 SWEDEN	238	-0.09	+0.54	+0.45	▼8
27	A.Grossack	🇺🇸 USA1	210	-0.14	+0.56	+0.42	▼12
28	E.Wold	🇺🇸 USA1	210	-0.14	+0.56	+0.42	▼12
29	T.Bessis	🇫🇷 FRANCE	266	+0.00	+0.36	+0.36	▲1
30	C.Lorenzini	🇫🇷 FRANCE	266	+0.00	+0.36	+0.36	▲1
31	A.Madala	🇦🇷 ARGENTINA	322	-0.05	+0.41	+0.35	▼4
32	A.Sementa	🇮🇹 ITALY	210	+0.01	+0.31	+0.32	·
33	A.Versace	🇮🇹 ITALY	210	+0.01	+0.31	+0.32	·
34	J.Feldman	🇨🇦 CANADA	210	+0.00	+0.25	+0.25	▲7
35	D.Miles	🇨🇦 CANADA	210	+0.00	+0.25	+0.25	▲7
36	J.Coutts	🇦🇺 AUSTRALIA	224	+0.06	+0.19	+0.25	▲10
37	L.Milne	🇦🇺 AUSTRALIA	224	+0.06	+0.19	+0.25	▲10
38	B.Handley-Pritchard	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	210	-0.03	+0.27	+0.24	▲1
39	T.Townsend	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	210	-0.03	+0.27	+0.24	▲1
40	Z.Grossack	🇺🇸 USA2	238	+0.01	+0.20	+0.21	▲4
41	M.Rosenberg	🇺🇸 USA2	238	+0.01	+0.20	+0.21	▲4
42	M.Figueiredo	🇧🇷 BRAZIL	252	-0.12	+0.30	+0.18	▼8
43	J.Campos	🇧🇷 BRAZIL	266	+0.12	+0.03	+0.15	▲26
44	M.Fourati	🇹🇳 TUNISIA	210	+0.16	-0.02	+0.14	▲30
45	M.Ghodhbane	🇹🇳 TUNISIA	210	+0.16	-0.02	+0.14	▲30
46	M.Toma	🇧🇷 BRAZIL	252	-0.10	+0.24	+0.14	▼3
47	A.Bianchedi	🇦🇷 ARGENTINA	280	-0.01	+0.15	+0.14	▲3
48	A.Kaplan	🇺🇸 USA1	168	+0.07	+0.06	+0.12	▲11
49	F.Kolesnik	🇺🇸 USA1	168	+0.07	+0.06	+0.12	▲11
50	M.Di Franco	🇮🇹 ITALY	210	-0.19	+0.29	+0.10	▼15
51	A.Manno	🇮🇹 ITALY	210	-0.19	+0.29	+0.10	▼15
52	J.Rombaut	🇫🇷 FRANCE	210	+0.16	-0.10	+0.07	▲30
53	L.Rombaut	🇫🇷 FRANCE	210	+0.16	-0.10	+0.07	▲30
54	A.Birman	🇮🇱 ISRAEL	252	+0.02	+0.05	+0.06	▲7
55	D.Padon	🇮🇱 ISRAEL	252	+0.02	+0.05	+0.06	▲7
56	C.Pellegrini	🇦🇷 ARGENTINA	238	-0.06	+0.12	+0.06	▼3
57	G.Arts	🇧🇪 BELGIUM	168	+0.12	-0.07	+0.05	▲21
58	S.De Roos	🇧🇪 BELGIUM	168	+0.12	-0.07	+0.05	▲21
59	C.Garnier	🇬🇵 GUADELOUPE	238	+0.01	+0.04	+0.05	▲4
60	D.Gerin	🇬🇵 GUADELOUPE	238	+0.01	+0.04	+0.05	▲4
61	Y.Cai	🇨🇳 CHINA	238	-0.00	-0.01	-0.01	▲11
62	G.Sun	🇨🇳 CHINA	238	-0.00	-0.01	-0.01	▲11
63	B.Combescure	🇫🇷 FRANCE	168	-0.20	+0.19	-0.02	▼15
64	P.Franceschetti	🇫🇷 FRANCE	168	-0.20	+0.19	-0.02	▼15
65	B.Norton	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	182	-0.31	+0.29	-0.02	▼28
66	S.Tommasini	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	182	-0.31	+0.29	-0.02	▼28
67	P.Cullin	🇸🇪 SWEDEN	182	+0.08	-0.11	-0.02	▲17
68	M.Michielsen	🇸🇪 SWEDEN	182	+0.08	-0.11	-0.02	▲17
69	R.Lian	🇨🇳 CHINA	182	-0.06	+0.03	-0.03	▼2
70	Y.Lian	🇨🇳 CHINA	182	-0.06	+0.03	-0.03	▼2
71	M.Brown	🇳🇿 NEW ZEALAND	238	-0.18	+0.14	-0.04	▼20
72	M.Whibley	🇳🇿 NEW ZEALAND	238	-0.18	+0.14	-0.04	▼20
73	M.Villas-Boas	🇧🇷 BRAZIL	252	-0.13	+0.07	-0.06	▼15
74	A.Apteker	🇿🇦 SOUTH AFRICA	210	-0.19	+0.11	-0.08	▼20
75	C.Gower	🇿🇦 SOUTH AFRICA	210	-0.19	+0.11	-0.08	▼20
76	B.Dehaye	🇧🇪 BELGIUM	224	-0.13	+0.04	-0.09	▼11
77	C.Dehaye	🇧🇪 BELGIUM	224	-0.13	+0.04	-0.09	▼11
78	N.Kvangraven	🇳🇴 NORWAY	154	-0.21	+0.11	-0.10	▼22
79	U.Tundal	🇳🇴 NORWAY	154	-0.21	+0.11	-0.10	▼22
80	D.Kim	🇰🇷 KOREA	322	+0.11	-0.21	-0.11	▲14
81	S.Lee	🇰🇷 KOREA	322	+0.11	-0.21	-0.11	▲14
82	F.Pollack	🇨🇦 CANADA	224	+0.19	-0.30	-0.11	▲29
83	J.Smith	🇨🇦 CANADA	224	+0.19	-0.30	-0.11	▲29
84	J.Li	🇨🇳 CHINA	224	+0.04	-0.17	-0.13	▲8
85	Y.Zhang	🇨🇳 CHINA	224	+0.04	-0.17	-0.13	▲8
86	T.Grude	🇳🇴 NORWAY	224	+0.08	-0.23	-0.14	▲11
87	G.Helgemo	🇳🇴 NORWAY	224	+0.08	-0.23	-0.14	▲11
88	L.Kuo	🇹🇼 CHINESE TAIPEI	266	+0.13	-0.29	-0.16	▲17
89	H.So	🇹🇼 CHINESE TAIPEI	266	+0.13	-0.29	-0.16	▲17
90	M.Nowosadzki	🇨🇭 SWITZERLAND	154	-0.18	+0.02	-0.16	▼20
91	P.Zimmermann	🇨🇭 SWITZERLAND	154	-0.18	+0.02	-0.16	▼20
92	A.Rodrigues	🇧🇷 BRAZIL	266	+0.04	-0.21	-0.17	▲4
93	K.Nandi	🇮🇳 INDIA	182	+0.12	-0.29	-0.17	▲10
94	S.Roy	🇮🇳 INDIA	182	+0.12	-0.29	-0.17	▲10
95	M.Askgaard	🇩🇰 DENMARK	168	-0.03	-0.14	-0.17	▼7
96	K.Konow	🇩🇰 DENMARK	168	-0.03	-0.14	-0.17	▼7
97	A.Rosenthal	🇺🇸 USA2	154	+0.11	-0.29	-0.18	▲10
98	A.Silverstein	🇺🇸 USA2	154	+0.11	-0.29	-0.18	▲10
99	L.Rizzo	🇦🇷 ARGENTINA	224	+0.12	-0.34	-0.22	▲16
100	J.Haffer	🇦🇺 AUSTRALIA	224	+0.08	-0.30	-0.23	▲13
101	P.Markey	🇦🇺 AUSTRALIA	224	+0.08	-0.30	-0.23	▲13
102	N.L'Ecuyer	🇨🇦 CANADA	210	-0.01	-0.25	-0.25	▼3
103	D.Wolpert	🇨🇦 CANADA	210	-0.01	-0.25	-0.25	▼3
104	I.Herbst	🇮🇱 ISRAEL	140	-0.17	-0.09	-0.27	▼24
105	O.Herbst	🇮🇱 ISRAEL	140	-0.17	-0.09	-0.27	▼24
106	S.Kang	🇰🇷 KOREA	322	-0.13	-0.14	-0.27	▼20
107	S.Roh	🇰🇷 KOREA	322	-0.13	-0.14	-0.27	▼20
108	S.Mukherjee	🇮🇳 INDIA	210	-0.15	-0.15	-0.30	▼18
109	R.Tewari	🇮🇳 INDIA	210	-0.15	-0.15	-0.30	▼18
110	S.Haque	🇧🇩 BANGLADESH	238	-0.26	-0.06	-0.32	▼34
111	M.Hossain	🇧🇩 BANGLADESH	238	-0.26	-0.06	-0.32	▼34
112	P.Mathieu	🇬🇵 GUADELOUPE	238	-0.05	-0.28	-0.33	▼11
113	L.Soudan	🇬🇵 GUADELOUPE	238	-0.05	-0.28	-0.33	▼11
114	W.Bellazreg	🇹🇳 TUNISIA	224	+0.00	-0.34	-0.34	▲2
115	A.Mestiri	🇹🇳 TUNISIA	224	+0.00	-0.34	-0.34	▲2
116	S.Ashton	🇦🇺 AUSTRALIA	196	+0.15	-0.50	-0.36	▲8
117	D.Wiltshire	🇦🇺 AUSTRALIA	196	+0.15	-0.50	-0.36	▲8
118	N.Apteker	🇿🇦 SOUTH AFRICA	224	+0.07	-0.43	-0.36	▲2
119	R.Stephens	🇿🇦 SOUTH AFRICA	224	+0.07	-0.43	-0.36	▲2
120	K.Bendre	🇮🇳 INDIA	252	-0.00	-0.36	-0.36	▼2
121	S.Kushari	🇮🇳 INDIA	252	-0.00	-0.36	-0.36	▼2
122	C.Chou	🇹🇼 CHINESE TAIPEI	182	-0.08	-0.29	-0.37	▼13
123	E.Huang	🇹🇼 CHINESE TAIPEI	182	-0.08	-0.29	-0.37	▼13
124	I.Berrington	🇳🇿 NEW ZEALAND	210	+0.17	-0.55	-0.38	▲2
125	G.Tuffnell	🇳🇿 NEW ZEALAND	210	+0.17	-0.55	-0.38	▲2
126	M.Ispahani	🇧🇩 BANGLADESH	182	+0.06	-0.48	-0.42	▼4
127	M.Rahman	🇧🇩 BANGLADESH	182	+0.06	-0.48	-0.42	▼4
128	N.Eber	🇿🇦 SOUTH AFRICA	210	+0.10	-0.61	-0.51	·
129	H.Fick	🇿🇦 SOUTH AFRICA	210	+0.10	-0.61	-0.51	·
130	ALAUDDIN MD	🇧🇩 BANGLADESH	224	+0.14	-0.84	-0.70	·
131	KAMRUZZAMAN A H M	🇧🇩 BANGLADESH	224	+0.14	-0.84	-0.70	·
132	T.Kuo	🇹🇼 CHINESE TAIPEI	196	+0.12	-1.07	-0.96	·
133	Y.Lee	🇹🇼 CHINESE TAIPEI	196	+0.12	-1.07	-0.96	·
134	B.Mace	🇳🇿 NEW ZEALAND	196	+0.17	-1.20	-1.03	·
135	M.Mayer	🇳🇿 NEW ZEALAND	196	+0.17	-1.20	-1.03	·
136	A.Meddeb	🇹🇳 TUNISIA	210	+0.08	-1.31	-1.23	·
137	O.Meddeb	🇹🇳 TUNISIA	210	+0.08	-1.31	-1.23	·
138	F.Dufau	🇬🇵 GUADELOUPE	168	+0.28	-2.21	-1.93	·
139	O.Tolza	🇬🇵 GUADELOUPE	168	+0.28	-2.21	-1.93	·

Stages

Statistics

Tables