Istanbul 2014 — 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	M.Bielawski	🇵🇱 POLAND	140	+1.54	+215.0
2	S.Niajko	🇵🇱 POLAND	140	+1.54	+215.0
3	G.Herman	🇺🇸 USA 2	210	+1.10	+231.0
4	A.Hudson	🇺🇸 USA 2	210	+1.10	+231.0
5	Y.Tao	🇨🇳 CHINA	280	+1.08	+302.0
6	Z.Tang	🇨🇳 CHINA	266	+1.03	+273.0
7	Z.Brescoll	🇺🇸 USA 1	196	+1.00	+196.0
8	A.Kaplan	🇺🇸 USA 1	196	+1.00	+196.0
9	K.Hegge	🇳🇴 NORWAY	280	+0.91	+254.0
10	M.Klukowski	🇵🇱 POLAND	224	+0.87	+195.0
11	P.Tuczynski	🇵🇱 POLAND	224	+0.87	+195.0
12	T.Grude	🇳🇴 NORWAY	280	+0.87	+243.0
13	E.Wackwitz	🇳🇱 NETHERLANDS	224	+0.87	+194.0
14	C.Westerbeek	🇳🇱 NETHERLANDS	224	+0.87	+194.0
15	T.Coudert	🇫🇷 FRANCE	294	+0.82	+240.0
16	C.Lorenzini	🇫🇷 FRANCE	294	+0.82	+240.0
17	S.Hult	🇸🇪 SWEDEN	238	+0.74	+175.0
18	M.Gronkvist	🇸🇪 SWEDEN	252	+0.71	+179.0
19	A.Aimala	🇫🇮 FINLAND	294	+0.67	+198.0
20	V.Fagerlund	🇫🇮 FINLAND	294	+0.67	+198.0
21	A.Altindag	🇹🇷 TURKEY	140	+0.67	+94.0
22	Y.Kapusuz	🇹🇷 TURKEY	140	+0.67	+94.0
23	A.Edgtton	🇦🇺 AUSTRALIA	252	+0.65	+164.0
24	N.Edgtton	🇦🇺 AUSTRALIA	252	+0.65	+164.0
25	M.Agica	🇺🇸 USA 1	182	+0.63	+115.0
26	O.Lien	🇺🇸 USA 1	182	+0.63	+115.0
27	T.Polak	🇳🇱 NETHERLANDS	182	+0.61	+111.0
28	T.Van Overbeeke	🇳🇱 NETHERLANDS	182	+0.61	+111.0
29	B.Lui	🇭🇰 CHINA HONG KONG	196	+0.56	+110.0
30	C.Wai	🇭🇰 CHINA HONG KONG	196	+0.56	+110.0
31	A.Stokka	🇸🇪 SWEDEN	210	+0.56	+117.0
32	G.Coutts	🇳🇿 NEW ZEALAND	252	+0.55	+138.0
33	N.Jacob	🇳🇿 NEW ZEALAND	252	+0.55	+138.0
34	D.Gullberg	🇸🇪 SWEDEN	238	+0.52	+124.0
35	S.Ekenberg	🇸🇪 SWEDEN	238	+0.50	+119.0
36	L.Ginnan	🇦🇺 AUSTRALIA	154	+0.49	+76.0
37	J.Howard	🇦🇺 AUSTRALIA	154	+0.49	+76.0
38	A.Grossack	🇺🇸 USA 1	210	+0.46	+96.0
39	Z.Grossack	🇺🇸 USA 1	210	+0.46	+96.0
40	S.Huang	🇨🇦 CANADA	252	+0.39	+98.0
41	T.Walsh	🇨🇦 CANADA	252	+0.39	+98.0
42	E.Aydogdu	🇹🇷 TURKEY	210	+0.32	+68.0
43	B.Ozen	🇹🇷 TURKEY	210	+0.32	+68.0
44	A.Koclar	🇹🇷 TURKEY	238	+0.32	+77.0
45	U.Suzer	🇹🇷 TURKEY	238	+0.32	+77.0
46	S.Liu	🇨🇳 CHINA	280	+0.29	+82.0
47	P.Jassem	🇵🇱 POLAND	224	+0.28	+63.0
48	J.Wojcieszek	🇵🇱 POLAND	224	+0.28	+63.0
49	J.Van Lankveld	🇳🇱 NETHERLANDS	182	+0.26	+48.0
50	R.Westerbeek	🇳🇱 NETHERLANDS	182	+0.26	+48.0
51	H.Huang	🇹🇼 CHINESE TAIPEI	210	+0.25	+52.0
52	Y.Tai	🇹🇼 CHINESE TAIPEI	210	+0.25	+52.0
53	L.Zhang	🇨🇳 CHINA	294	+0.22	+66.0
54	D.Bilde	🇩🇰 DENMARK	238	+0.13	+32.0
55	R.Jepsen	🇩🇰 DENMARK	238	+0.13	+32.0
56	E.Macaulay	🇨🇦 CANADA	252	+0.12	+29.0
57	J.Tsang	🇨🇦 CANADA	252	+0.12	+29.0
58	K.Ellingsen	🇳🇴 NORWAY	280	+0.02	+5.0
59	G.Ho	🇭🇰 CHINA HONG KONG	196	-0.01	-1.0
60	R.Tam	🇭🇰 CHINA HONG KONG	196	-0.01	-1.0
61	H.Eide	🇳🇴 NORWAY	238	-0.02	-5.0
62	P.Chan	🇭🇰 CHINA HONG KONG	196	-0.03	-5.0
63	L.Lam	🇭🇰 CHINA HONG KONG	196	-0.03	-5.0
64	A.Morgiel	🇩🇪 GERMANY	294	-0.06	-17.0
65	V.Vikjord	🇩🇪 GERMANY	294	-0.06	-17.0
66	W.Mamdouh	🇪🇬 EGYPT	238	-0.08	-19.0
67	J.Thompson	🇦🇺 AUSTRALIA	182	-0.10	-18.0
68	S.Williams	🇦🇺 AUSTRALIA	182	-0.10	-18.0
69	R.Chan	🇸🇬 SINGAPORE	196	-0.11	-21.0
70	D.Lee	🇸🇬 SINGAPORE	196	-0.11	-21.0
71	M.Nashaat	🇪🇬 EGYPT	224	-0.17	-37.0
72	K.Lazar	🇩🇪 GERMANY	294	-0.17	-51.0
73	B.Szirmay-Kalos	🇩🇪 GERMANY	294	-0.17	-51.0
74	E.Wu	🇺🇸 USA 2	196	-0.19	-38.0
75	W.Zhu	🇺🇸 USA 2	196	-0.19	-38.0
76	J.Bernard	🇫🇷 FRANCE	210	-0.23	-49.0
77	B.Combescure	🇫🇷 FRANCE	210	-0.23	-49.0
78	S.Ng	🇸🇬 SINGAPORE	210	-0.35	-73.0
79	J.Ong	🇸🇬 SINGAPORE	210	-0.35	-73.0
80	K.Lim	🇸🇬 SINGAPORE	182	-0.37	-68.0
81	S.Shan	🇸🇬 SINGAPORE	182	-0.37	-68.0
82	S.Mitra	🇮🇳 INDIA	294	-0.37	-110.0
83	SARKAR ANINDRA	🇮🇳 INDIA	294	-0.37	-110.0
84	M.Abdel-Aziz	🇪🇬 EGYPT	266	-0.38	-101.0
85	A.Alselehdar	🇪🇬 EGYPT	266	-0.38	-101.0
86	M.Bilde	🇩🇰 DENMARK	168	-0.38	-64.0
87	P.Jepsen	🇩🇰 DENMARK	168	-0.38	-64.0
88	S.Kabra	🇮🇳 INDIA	294	-0.44	-130.0
89	R.Ravichandran	🇮🇳 INDIA	294	-0.44	-130.0
90	E.Buus Thomsen	🇩🇰 DENMARK	182	-0.47	-85.0
91	S.Buus Thomsen	🇩🇰 DENMARK	182	-0.47	-85.0
92	F.Von Brudersdorff	🇦🇷 ARGENTINA	238	-0.66	-158.0
93	S.Bailey	🇳🇿 NEW ZEALAND	210	-0.68	-143.0
94	S.Coutts	🇳🇿 NEW ZEALAND	210	-0.68	-143.0
95	S.Rueda	🇦🇷 ARGENTINA	224	-0.72	-161.0
96	Y.Chen	🇹🇼 CHINESE TAIPEI	196	-0.76	-149.0
97	J.Wang	🇹🇼 CHINESE TAIPEI	196	-0.76	-149.0
98	A.Koivu	🇫🇮 FINLAND	168	-0.80	-135.0
99	M.Santa Ana	🇦🇷 ARGENTINA	196	-0.81	-158.0
100	V.Bouton	🇳🇿 NEW ZEALAND	126	-0.83	-105.0
101	M.Brown	🇳🇿 NEW ZEALAND	126	-0.83	-105.0
102	O.Koivu	🇫🇮 FINLAND	210	-0.83	-175.0
103	M.Myllaeri	🇫🇮 FINLAND	210	-0.97	-204.0
104	T.Chung	🇹🇼 CHINESE TAIPEI	182	-1.02	-186.0
105	S.Lee	🇹🇼 CHINESE TAIPEI	182	-1.02	-186.0
106	Z.Wang	🇺🇸 USA 2	182	-1.23	-224.0
107	E.Zhou	🇺🇸 USA 2	182	-1.23	-224.0
108	A.Argain	🇦🇷 ARGENTINA	210	-1.36	-285.0
109	N.Sengiali	🇦🇷 ARGENTINA	210	-1.36	-285.0
110	M.Malilo	BOTSWANA	210	-2.18	-457.0
111	P.Ramoseki	BOTSWANA	210	-2.18	-457.0
112	B.Ellece	BOTSWANA	196	-2.27	-445.0
113	G.Maele	BOTSWANA	196	-2.27	-445.0
114	M.Moji	BOTSWANA	182	-2.68	-487.0
115	K.Moleta	BOTSWANA	182	-2.68	-487.0
116	F.Charignon	🇫🇷 FRANCE	84	+1.36	+114.0
117	C.Laloubeyre	🇫🇷 FRANCE	84	+1.36	+114.0
118	X.Xia	🇨🇳 CHINA	56	+0.70	+39.0
119	M.Eide	🇳🇴 NORWAY	98	+0.36	+35.0
120	M.Tharwat	🇪🇬 EGYPT	98	-0.15	-15.0
121	K.Fady	🇪🇬 EGYPT	84	-0.39	-33.0
122	F.Vallecillo	🇦🇷 ARGENTINA	98	-0.66	-65.0
123	D.Cozart	🇨🇦 CANADA	84	-0.79	-66.0
124	J.Tessarolo	🇨🇦 CANADA	84	-0.79	-66.0

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	R.Tam	🇭🇰 CHINA HONG KONG	46	93.5%	0.07
2	T.Grude	🇳🇴 NORWAY	63	88.9%	0.13
3	B.Lui	🇭🇰 CHINA HONG KONG	51	88.2%	0.16
4	A.Grossack	🇺🇸 USA 1	42	88.1%	0.12
5	C.Westerbeek	🇳🇱 NETHERLANDS	41	87.8%	0.20
6	R.Chan	🇸🇬 SINGAPORE	52	86.5%	0.15
7	P.Jassem	🇵🇱 POLAND	51	86.3%	0.18
8	T.Chung	🇹🇼 CHINESE TAIPEI	43	86.0%	0.21
9	B.Szirmay-Kalos	🇩🇪 GERMANY	90	85.6%	0.18
10	Y.Tao	🇨🇳 CHINA	62	85.5%	0.19
11	A.Kaplan	🇺🇸 USA 1	54	85.2%	0.17
12	H.Huang	🇹🇼 CHINESE TAIPEI	53	84.9%	0.15
13	A.Alselehdar	🇪🇬 EGYPT	73	84.9%	0.16
14	J.Tsang	🇨🇦 CANADA	78	84.6%	0.17
15	J.Howard	🇦🇺 AUSTRALIA	39	84.6%	0.18
16	L.Zhang	🇨🇳 CHINA	71	84.5%	0.17
17	R.Westerbeek	🇳🇱 NETHERLANDS	44	84.1%	0.27
18	M.Malilo	BOTSWANA	50	84.0%	0.18
19	V.Bouton	🇳🇿 NEW ZEALAND	31	83.9%	0.23
20	R.Ravichandran	🇮🇳 INDIA	73	83.6%	0.18
21	G.Ho	🇭🇰 CHINA HONG KONG	48	83.3%	0.17
22	D.Gullberg	🇸🇪 SWEDEN	60	83.3%	0.18
23	S.Niajko	🇵🇱 POLAND	36	83.3%	0.19
24	V.Fagerlund	🇫🇮 FINLAND	66	83.3%	0.21
25	Y.Chen	🇹🇼 CHINESE TAIPEI	36	83.3%	0.25
26	E.Wackwitz	🇳🇱 NETHERLANDS	59	83.1%	0.20
27	S.Hult	🇸🇪 SWEDEN	47	83.0%	0.19
28	P.Ramoseki	BOTSWANA	47	83.0%	0.19
29	A.Stokka	🇸🇪 SWEDEN	47	83.0%	0.26
30	M.Bilde	🇩🇰 DENMARK	41	82.9%	0.24
31	M.Abdel-Aziz	🇪🇬 EGYPT	58	82.8%	0.22
32	S.Ekenberg	🇸🇪 SWEDEN	63	82.5%	0.24
33	S.Coutts	🇳🇿 NEW ZEALAND	51	82.4%	0.20
34	B.Ozen	🇹🇷 TURKEY	51	82.4%	0.22
35	A.Aimala	🇫🇮 FINLAND	79	82.3%	0.18
36	T.Polak	🇳🇱 NETHERLANDS	39	82.1%	0.20
37	E.Buus Thomsen	🇩🇰 DENMARK	50	82.0%	0.18
38	W.Zhu	🇺🇸 USA 2	60	81.7%	0.25
39	SARKAR ANINDRA	🇮🇳 INDIA	76	81.6%	0.20
40	G.Herman	🇺🇸 USA 2	54	81.5%	0.18
41	C.Lorenzini	🇫🇷 FRANCE	75	81.3%	0.21
42	M.Nashaat	🇪🇬 EGYPT	53	81.1%	0.23
43	T.Van Overbeeke	🇳🇱 NETHERLANDS	47	80.9%	0.21
44	S.Rueda	🇦🇷 ARGENTINA	52	80.8%	0.23
45	K.Lim	🇸🇬 SINGAPORE	51	80.4%	0.20
46	A.Hudson	🇺🇸 USA 2	56	80.4%	0.27
47	E.Wu	🇺🇸 USA 2	45	80.0%	0.20
48	N.Sengiali	🇦🇷 ARGENTINA	55	80.0%	0.22
49	D.Bilde	🇩🇰 DENMARK	45	80.0%	0.22
50	A.Koivu	🇫🇮 FINLAND	45	80.0%	0.22
51	U.Suzer	🇹🇷 TURKEY	49	79.6%	0.27
52	Z.Wang	🇺🇸 USA 2	44	79.5%	0.23
53	K.Ellingsen	🇳🇴 NORWAY	73	79.5%	0.23
54	Z.Tang	🇨🇳 CHINA	72	79.2%	0.21
55	D.Lee	🇸🇬 SINGAPORE	48	79.2%	0.27
56	L.Lam	🇭🇰 CHINA HONG KONG	52	78.8%	0.21
57	E.Aydogdu	🇹🇷 TURKEY	47	78.7%	0.21
58	H.Eide	🇳🇴 NORWAY	56	78.6%	0.21
59	J.Van Lankveld	🇳🇱 NETHERLANDS	42	78.6%	0.24
60	L.Ginnan	🇦🇺 AUSTRALIA	42	78.6%	0.33
61	S.Ng	🇸🇬 SINGAPORE	46	78.3%	0.24
62	S.Kabra	🇮🇳 INDIA	83	78.3%	0.25
63	J.Wojcieszek	🇵🇱 POLAND	55	78.2%	0.27
64	E.Macaulay	🇨🇦 CANADA	59	78.0%	0.27
65	A.Altindag	🇹🇷 TURKEY	36	77.8%	0.25
66	A.Koclar	🇹🇷 TURKEY	63	77.8%	0.25
67	V.Vikjord	🇩🇪 GERMANY	63	77.8%	0.27
68	O.Koivu	🇫🇮 FINLAND	54	77.8%	0.37
69	N.Jacob	🇳🇿 NEW ZEALAND	58	77.6%	0.24
70	M.Klukowski	🇵🇱 POLAND	49	77.6%	0.24
71	B.Ellece	BOTSWANA	49	77.6%	0.24
72	O.Lien	🇺🇸 USA 1	35	77.1%	0.23
73	T.Walsh	🇨🇦 CANADA	70	77.1%	0.27
74	W.Mamdouh	🇪🇬 EGYPT	61	77.0%	0.23
75	A.Morgiel	🇩🇪 GERMANY	74	77.0%	0.31
76	M.Myllaeri	🇫🇮 FINLAND	60	76.7%	0.23
77	K.Hegge	🇳🇴 NORWAY	73	76.7%	0.27
78	C.Wai	🇭🇰 CHINA HONG KONG	51	76.5%	0.28
79	T.Coudert	🇫🇷 FRANCE	76	76.3%	0.29
80	S.Shan	🇸🇬 SINGAPORE	42	76.2%	0.26
81	J.Thompson	🇦🇺 AUSTRALIA	42	76.2%	0.31
82	S.Huang	🇨🇦 CANADA	46	76.1%	0.33
83	A.Argain	🇦🇷 ARGENTINA	50	76.0%	0.30
84	J.Bernard	🇫🇷 FRANCE	58	75.9%	0.24
85	M.Gronkvist	🇸🇪 SWEDEN	62	75.8%	0.32
86	B.Combescure	🇫🇷 FRANCE	37	75.7%	0.38
87	M.Agica	🇺🇸 USA 1	53	75.5%	0.24
88	S.Bailey	🇳🇿 NEW ZEALAND	49	75.5%	0.27
89	J.Ong	🇸🇬 SINGAPORE	57	75.4%	0.25
90	Z.Grossack	🇺🇸 USA 1	48	75.0%	0.25
91	K.Lazar	🇩🇪 GERMANY	72	75.0%	0.25
92	P.Jepsen	🇩🇰 DENMARK	44	75.0%	0.27
93	N.Edgtton	🇦🇺 AUSTRALIA	64	75.0%	0.30
94	S.Lee	🇹🇼 CHINESE TAIPEI	40	75.0%	0.30
95	M.Brown	🇳🇿 NEW ZEALAND	28	75.0%	0.32
96	R.Jepsen	🇩🇰 DENMARK	63	74.6%	0.38
97	P.Tuczynski	🇵🇱 POLAND	46	73.9%	0.26
98	S.Liu	🇨🇳 CHINA	76	73.7%	0.26
99	Y.Kapusuz	🇹🇷 TURKEY	38	73.7%	0.32
100	F.Von Brudersdorff	🇦🇷 ARGENTINA	68	73.5%	0.27
101	S.Buus Thomsen	🇩🇰 DENMARK	49	73.5%	0.29
102	Z.Brescoll	🇺🇸 USA 1	52	73.1%	0.33
103	E.Zhou	🇺🇸 USA 2	48	72.9%	0.31
104	K.Moleta	BOTSWANA	48	72.9%	0.33
105	M.Bielawski	🇵🇱 POLAND	29	72.4%	0.41
106	S.Mitra	🇮🇳 INDIA	72	72.2%	0.33
107	M.Moji	BOTSWANA	50	72.0%	0.36
108	M.Santa Ana	🇦🇷 ARGENTINA	49	71.4%	0.35
109	P.Chan	🇭🇰 CHINA HONG KONG	41	70.7%	0.37
110	G.Maele	BOTSWANA	51	70.6%	0.47
111	J.Wang	🇹🇼 CHINESE TAIPEI	54	70.4%	0.37
112	Y.Tai	🇹🇼 CHINESE TAIPEI	61	68.9%	0.39
113	A.Edgtton	🇦🇺 AUSTRALIA	48	68.8%	0.33
114	S.Williams	🇦🇺 AUSTRALIA	53	66.0%	0.40
115	G.Coutts	🇳🇿 NEW ZEALAND	66	65.2%	0.38
116	F.Charignon	🇫🇷 FRANCE	19	89.5%	0.10
117	M.Tharwat	🇪🇬 EGYPT	36	86.1%	0.14
118	C.Laloubeyre	🇫🇷 FRANCE	21	85.7%	0.19
119	X.Xia	🇨🇳 CHINA	18	83.3%	0.17
120	M.Eide	🇳🇴 NORWAY	21	81.0%	0.24
121	F.Vallecillo	🇦🇷 ARGENTINA	30	80.0%	0.20
122	D.Cozart	🇨🇦 CANADA	19	68.4%	0.32
123	K.Fady	🇪🇬 EGYPT	19	68.4%	0.32
124	J.Tessarolo	🇨🇦 CANADA	19	57.9%	0.63

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	M.Klukowski	🇵🇱 POLAND	53	88.7%	0.11
2	S.Niajko	🇵🇱 POLAND	35	88.6%	0.17
3	A.Stokka	🇸🇪 SWEDEN	54	87.0%	0.13
4	A.Kaplan	🇺🇸 USA 1	43	86.0%	0.19
5	K.Hegge	🇳🇴 NORWAY	77	85.7%	0.14
6	S.Huang	🇨🇦 CANADA	75	84.0%	0.19
7	Z.Brescoll	🇺🇸 USA 1	43	83.7%	0.16
8	L.Lam	🇭🇰 CHINA HONG KONG	60	83.3%	0.22
9	E.Zhou	🇺🇸 USA 2	48	83.3%	0.23
10	C.Westerbeek	🇳🇱 NETHERLANDS	58	82.8%	0.21
11	A.Grossack	🇺🇸 USA 1	57	82.5%	0.23
12	M.Bielawski	🇵🇱 POLAND	39	82.1%	0.18
13	U.Suzer	🇹🇷 TURKEY	67	82.1%	0.18
14	S.Hult	🇸🇪 SWEDEN	61	82.0%	0.23
15	N.Edgtton	🇦🇺 AUSTRALIA	72	81.9%	0.21
16	J.Van Lankveld	🇳🇱 NETHERLANDS	43	81.4%	0.28
17	M.Brown	🇳🇿 NEW ZEALAND	32	81.2%	0.19
18	K.Ellingsen	🇳🇴 NORWAY	69	81.2%	0.25
19	N.Jacob	🇳🇿 NEW ZEALAND	57	80.7%	0.19
20	C.Lorenzini	🇫🇷 FRANCE	72	80.6%	0.25
21	A.Edgtton	🇦🇺 AUSTRALIA	67	80.6%	0.27
22	V.Fagerlund	🇫🇮 FINLAND	82	80.5%	0.22
23	S.Ekenberg	🇸🇪 SWEDEN	60	80.0%	0.23
24	D.Gullberg	🇸🇪 SWEDEN	59	79.7%	0.32
25	P.Jepsen	🇩🇰 DENMARK	39	79.5%	0.31
26	K.Lazar	🇩🇪 GERMANY	72	79.2%	0.29
27	L.Zhang	🇨🇳 CHINA	67	79.1%	0.25
28	W.Zhu	🇺🇸 USA 2	38	78.9%	0.26
29	Y.Tao	🇨🇳 CHINA	61	78.7%	0.23
30	T.Coudert	🇫🇷 FRANCE	70	78.6%	0.26
31	L.Ginnan	🇦🇺 AUSTRALIA	28	78.6%	0.29
32	P.Chan	🇭🇰 CHINA HONG KONG	42	78.6%	0.29
33	D.Lee	🇸🇬 SINGAPORE	37	78.4%	0.32
34	G.Ho	🇭🇰 CHINA HONG KONG	46	78.3%	0.28
35	Y.Chen	🇹🇼 CHINESE TAIPEI	60	78.3%	0.28
36	P.Jassem	🇵🇱 POLAND	50	78.0%	0.28
37	T.Van Overbeeke	🇳🇱 NETHERLANDS	40	77.5%	0.30
38	W.Mamdouh	🇪🇬 EGYPT	53	77.4%	0.28
39	M.Myllaeri	🇫🇮 FINLAND	48	77.1%	0.31
40	Z.Grossack	🇺🇸 USA 1	61	77.0%	0.26
41	E.Macaulay	🇨🇦 CANADA	52	76.9%	0.29
42	B.Lui	🇭🇰 CHINA HONG KONG	47	76.6%	0.30
43	B.Combescure	🇫🇷 FRANCE	51	76.5%	0.26
44	Y.Kapusuz	🇹🇷 TURKEY	29	75.9%	0.24
45	P.Tuczynski	🇵🇱 POLAND	66	75.8%	0.27
46	M.Gronkvist	🇸🇪 SWEDEN	66	75.8%	0.32
47	J.Bernard	🇫🇷 FRANCE	61	75.4%	0.25
48	H.Eide	🇳🇴 NORWAY	60	75.0%	0.32
49	O.Lien	🇺🇸 USA 1	44	75.0%	0.32
50	T.Polak	🇳🇱 NETHERLANDS	44	75.0%	0.32
51	E.Wackwitz	🇳🇱 NETHERLANDS	59	74.6%	0.27
52	A.Aimala	🇫🇮 FINLAND	66	74.2%	0.27
53	A.Alselehdar	🇪🇬 EGYPT	62	74.2%	0.34
54	R.Jepsen	🇩🇰 DENMARK	54	74.1%	0.30
55	M.Bilde	🇩🇰 DENMARK	38	73.7%	0.34
56	A.Hudson	🇺🇸 USA 2	53	73.6%	0.36
57	S.Lee	🇹🇼 CHINESE TAIPEI	49	73.5%	0.29
58	J.Wojcieszek	🇵🇱 POLAND	64	73.4%	0.31
59	S.Coutts	🇳🇿 NEW ZEALAND	64	73.4%	0.31
60	S.Liu	🇨🇳 CHINA	66	72.7%	0.29
61	O.Koivu	🇫🇮 FINLAND	51	72.5%	0.37
62	S.Buus Thomsen	🇩🇰 DENMARK	40	72.5%	0.40
63	R.Chan	🇸🇬 SINGAPORE	58	72.4%	0.31
64	J.Howard	🇦🇺 AUSTRALIA	43	72.1%	0.30
65	S.Shan	🇸🇬 SINGAPORE	39	71.8%	0.33
66	J.Tsang	🇨🇦 CANADA	60	71.7%	0.40
67	Z.Wang	🇺🇸 USA 2	42	71.4%	0.33
68	R.Tam	🇭🇰 CHINA HONG KONG	56	71.4%	0.38
69	S.Ng	🇸🇬 SINGAPORE	52	71.2%	0.33
70	D.Bilde	🇩🇰 DENMARK	69	71.0%	0.32
71	Z.Tang	🇨🇳 CHINA	72	70.8%	0.31
72	V.Vikjord	🇩🇪 GERMANY	89	70.8%	0.42
73	S.Williams	🇦🇺 AUSTRALIA	41	70.7%	0.37
74	M.Santa Ana	🇦🇷 ARGENTINA	41	70.7%	0.46
75	E.Aydogdu	🇹🇷 TURKEY	51	70.6%	0.33
76	SARKAR ANINDRA	🇮🇳 INDIA	68	70.6%	0.43
77	A.Morgiel	🇩🇪 GERMANY	64	70.3%	0.33
78	S.Kabra	🇮🇳 INDIA	74	70.3%	0.38
79	T.Grude	🇳🇴 NORWAY	64	70.3%	0.44
80	A.Altindag	🇹🇷 TURKEY	36	69.4%	0.36
81	J.Wang	🇹🇼 CHINESE TAIPEI	45	68.9%	0.33
82	E.Wu	🇺🇸 USA 2	51	68.6%	0.33
83	A.Koclar	🇹🇷 TURKEY	57	68.4%	0.47
84	B.Szirmay-Kalos	🇩🇪 GERMANY	59	67.8%	0.37
85	G.Coutts	🇳🇿 NEW ZEALAND	68	67.6%	0.40
86	Y.Tai	🇹🇼 CHINESE TAIPEI	46	67.4%	0.39
87	C.Wai	🇭🇰 CHINA HONG KONG	45	66.7%	0.42
88	M.Nashaat	🇪🇬 EGYPT	60	66.7%	0.45
89	H.Huang	🇹🇼 CHINESE TAIPEI	48	66.7%	0.50
90	G.Herman	🇺🇸 USA 2	47	66.0%	0.38
91	K.Lim	🇸🇬 SINGAPORE	50	66.0%	0.40
92	A.Koivu	🇫🇮 FINLAND	35	65.7%	0.46
93	R.Ravichandran	🇮🇳 INDIA	61	65.6%	0.47
94	B.Ozen	🇹🇷 TURKEY	52	65.4%	0.40
95	V.Bouton	🇳🇿 NEW ZEALAND	34	64.7%	0.47
96	N.Sengiali	🇦🇷 ARGENTINA	53	64.2%	0.45
97	S.Rueda	🇦🇷 ARGENTINA	50	64.0%	0.38
98	T.Walsh	🇨🇦 CANADA	58	63.8%	0.50
99	J.Thompson	🇦🇺 AUSTRALIA	44	63.6%	0.43
100	M.Abdel-Aziz	🇪🇬 EGYPT	71	63.4%	0.47
101	S.Mitra	🇮🇳 INDIA	76	63.2%	0.50
102	E.Buus Thomsen	🇩🇰 DENMARK	42	61.9%	0.50
103	M.Agica	🇺🇸 USA 1	47	61.7%	0.49
104	R.Westerbeek	🇳🇱 NETHERLANDS	52	61.5%	0.46
105	T.Chung	🇹🇼 CHINESE TAIPEI	49	61.2%	0.53
106	B.Ellece	BOTSWANA	45	60.0%	0.73
107	A.Argain	🇦🇷 ARGENTINA	51	58.8%	0.59
108	J.Ong	🇸🇬 SINGAPORE	55	58.2%	0.58
109	P.Ramoseki	BOTSWANA	52	57.7%	0.61
110	M.Malilo	BOTSWANA	61	55.7%	0.69
111	S.Bailey	🇳🇿 NEW ZEALAND	45	55.6%	0.56
112	G.Maele	BOTSWANA	49	51.0%	0.69
113	F.Von Brudersdorff	🇦🇷 ARGENTINA	59	49.2%	0.66
114	M.Moji	BOTSWANA	40	47.5%	0.80
115	K.Moleta	BOTSWANA	44	36.4%	1.00
116	F.Charignon	🇫🇷 FRANCE	18	88.9%	0.11
117	M.Tharwat	🇪🇬 EGYPT	16	81.2%	0.19
118	C.Laloubeyre	🇫🇷 FRANCE	24	79.2%	0.21
119	F.Vallecillo	🇦🇷 ARGENTINA	27	74.1%	0.41
120	K.Fady	🇪🇬 EGYPT	23	69.6%	0.43
121	M.Eide	🇳🇴 NORWAY	24	66.7%	0.46
122	J.Tessarolo	🇨🇦 CANADA	19	63.2%	0.58
123	D.Cozart	🇨🇦 CANADA	27	63.0%	0.41
124	X.Xia	🇨🇳 CHINA	16	62.5%	0.50

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	B.Lui	🇭🇰 CHINA HONG KONG	102	91.2%	0.11
2	C.Wai	🇭🇰 CHINA HONG KONG	102	91.2%	0.11
3	E.Wackwitz	🇳🇱 NETHERLANDS	100	91.0%	0.15
4	C.Westerbeek	🇳🇱 NETHERLANDS	100	91.0%	0.15
5	M.Klukowski	🇵🇱 POLAND	95	90.5%	0.16
6	P.Tuczynski	🇵🇱 POLAND	95	90.5%	0.16
7	D.Bilde	🇩🇰 DENMARK	108	89.8%	0.11
8	R.Jepsen	🇩🇰 DENMARK	108	89.8%	0.11
9	Z.Brescoll	🇺🇸 USA 1	106	89.6%	0.16
10	A.Kaplan	🇺🇸 USA 1	106	89.6%	0.16
11	M.Bielawski	🇵🇱 POLAND	65	89.2%	0.12
12	S.Niajko	🇵🇱 POLAND	65	89.2%	0.12
13	A.Grossack	🇺🇸 USA 1	90	88.9%	0.13
14	Z.Grossack	🇺🇸 USA 1	90	88.9%	0.13
15	K.Ellingsen	🇳🇴 NORWAY	143	88.8%	0.15
16	J.Van Lankveld	🇳🇱 NETHERLANDS	86	88.4%	0.14
17	R.Westerbeek	🇳🇱 NETHERLANDS	86	88.4%	0.14
18	A.Stokka	🇸🇪 SWEDEN	102	88.2%	0.14
19	L.Zhang	🇨🇳 CHINA	152	88.2%	0.14
20	S.Liu	🇨🇳 CHINA	146	87.7%	0.15
21	M.Agica	🇺🇸 USA 1	88	87.5%	0.15
22	O.Lien	🇺🇸 USA 1	88	87.5%	0.15
23	H.Eide	🇳🇴 NORWAY	120	87.5%	0.17
24	S.Ng	🇸🇬 SINGAPORE	103	87.4%	0.14
25	J.Ong	🇸🇬 SINGAPORE	103	87.4%	0.14
26	M.Bilde	🇩🇰 DENMARK	85	87.1%	0.27
27	P.Jepsen	🇩🇰 DENMARK	85	87.1%	0.27
28	A.Morgiel	🇩🇪 GERMANY	137	86.9%	0.20
29	V.Vikjord	🇩🇪 GERMANY	137	86.9%	0.20
30	Y.Chen	🇹🇼 CHINESE TAIPEI	90	86.7%	0.17
31	J.Wang	🇹🇼 CHINESE TAIPEI	90	86.7%	0.17
32	A.Edgtton	🇦🇺 AUSTRALIA	112	86.6%	0.15
33	N.Edgtton	🇦🇺 AUSTRALIA	112	86.6%	0.15
34	A.Altindag	🇹🇷 TURKEY	74	86.5%	0.16
35	Y.Kapusuz	🇹🇷 TURKEY	74	86.5%	0.16
36	G.Herman	🇺🇸 USA 2	110	86.4%	0.22
37	A.Hudson	🇺🇸 USA 2	110	86.4%	0.22
38	G.Ho	🇭🇰 CHINA HONG KONG	94	86.2%	0.23
39	R.Tam	🇭🇰 CHINA HONG KONG	94	86.2%	0.23
40	E.Buus Thomsen	🇩🇰 DENMARK	99	85.9%	0.15
41	S.Buus Thomsen	🇩🇰 DENMARK	99	85.9%	0.15
42	P.Jassem	🇵🇱 POLAND	106	85.8%	0.16
43	J.Wojcieszek	🇵🇱 POLAND	106	85.8%	0.16
44	M.Gronkvist	🇸🇪 SWEDEN	119	85.7%	0.18
45	M.Abdel-Aziz	🇪🇬 EGYPT	131	85.5%	0.18
46	A.Alselehdar	🇪🇬 EGYPT	131	85.5%	0.18
47	T.Coudert	🇫🇷 FRANCE	151	85.4%	0.16
48	C.Lorenzini	🇫🇷 FRANCE	151	85.4%	0.16
49	S.Huang	🇨🇦 CANADA	116	85.3%	0.16
50	T.Walsh	🇨🇦 CANADA	116	85.3%	0.16
51	K.Lazar	🇩🇪 GERMANY	162	85.2%	0.17
52	B.Szirmay-Kalos	🇩🇪 GERMANY	162	85.2%	0.17
53	P.Chan	🇭🇰 CHINA HONG KONG	93	84.9%	0.15
54	L.Lam	🇭🇰 CHINA HONG KONG	93	84.9%	0.15
55	T.Polak	🇳🇱 NETHERLANDS	86	84.9%	0.22
56	T.Van Overbeeke	🇳🇱 NETHERLANDS	86	84.9%	0.22
57	A.Aimala	🇫🇮 FINLAND	145	84.8%	0.17
58	V.Fagerlund	🇫🇮 FINLAND	145	84.8%	0.17
59	D.Gullberg	🇸🇪 SWEDEN	112	84.8%	0.19
60	V.Bouton	🇳🇿 NEW ZEALAND	59	84.7%	0.19
61	M.Brown	🇳🇿 NEW ZEALAND	59	84.7%	0.19
62	T.Grude	🇳🇴 NORWAY	136	84.6%	0.18
63	M.Malilo	BOTSWANA	97	84.5%	0.19
64	P.Ramoseki	BOTSWANA	97	84.5%	0.19
65	K.Hegge	🇳🇴 NORWAY	133	84.2%	0.19
66	S.Hult	🇸🇪 SWEDEN	113	84.1%	0.23
67	S.Ekenberg	🇸🇪 SWEDEN	112	83.9%	0.21
68	Y.Tao	🇨🇳 CHINA	141	83.0%	0.23
69	Z.Tang	🇨🇳 CHINA	132	82.6%	0.24
70	A.Koclar	🇹🇷 TURKEY	112	82.1%	0.20
71	U.Suzer	🇹🇷 TURKEY	112	82.1%	0.20
72	A.Koivu	🇫🇮 FINLAND	95	82.1%	0.23
73	E.Wu	🇺🇸 USA 2	105	81.9%	0.25
74	W.Zhu	🇺🇸 USA 2	105	81.9%	0.25
75	S.Kabra	🇮🇳 INDIA	156	81.4%	0.28
76	R.Ravichandran	🇮🇳 INDIA	156	81.4%	0.28
77	M.Nashaat	🇪🇬 EGYPT	111	81.1%	0.21
78	W.Mamdouh	🇪🇬 EGYPT	121	81.0%	0.21
79	K.Lim	🇸🇬 SINGAPORE	93	80.6%	0.21
80	S.Shan	🇸🇬 SINGAPORE	93	80.6%	0.21
81	E.Aydogdu	🇹🇷 TURKEY	98	80.6%	0.23
82	B.Ozen	🇹🇷 TURKEY	98	80.6%	0.23
83	G.Coutts	🇳🇿 NEW ZEALAND	124	80.6%	0.25
84	N.Jacob	🇳🇿 NEW ZEALAND	124	80.6%	0.25
85	Z.Wang	🇺🇸 USA 2	92	80.4%	0.29
86	E.Zhou	🇺🇸 USA 2	92	80.4%	0.29
87	J.Bernard	🇫🇷 FRANCE	95	80.0%	0.27
88	B.Combescure	🇫🇷 FRANCE	95	80.0%	0.27
89	S.Mitra	🇮🇳 INDIA	148	79.7%	0.22
90	SARKAR ANINDRA	🇮🇳 INDIA	148	79.7%	0.22
91	S.Rueda	🇦🇷 ARGENTINA	113	79.6%	0.25
92	F.Von Brudersdorff	🇦🇷 ARGENTINA	127	79.5%	0.26
93	L.Ginnan	🇦🇺 AUSTRALIA	81	79.0%	0.21
94	J.Howard	🇦🇺 AUSTRALIA	81	79.0%	0.21
95	S.Bailey	🇳🇿 NEW ZEALAND	100	79.0%	0.26
96	S.Coutts	🇳🇿 NEW ZEALAND	100	79.0%	0.26
97	E.Macaulay	🇨🇦 CANADA	137	78.8%	0.26
98	J.Tsang	🇨🇦 CANADA	137	78.8%	0.26
99	O.Koivu	🇫🇮 FINLAND	112	78.6%	0.26
100	R.Chan	🇸🇬 SINGAPORE	100	78.0%	0.28
101	D.Lee	🇸🇬 SINGAPORE	100	78.0%	0.28
102	J.Thompson	🇦🇺 AUSTRALIA	95	77.9%	0.24
103	S.Williams	🇦🇺 AUSTRALIA	95	77.9%	0.24
104	M.Myllaeri	🇫🇮 FINLAND	111	77.5%	0.30
105	H.Huang	🇹🇼 CHINESE TAIPEI	114	77.2%	0.30
106	Y.Tai	🇹🇼 CHINESE TAIPEI	114	77.2%	0.30
107	A.Argain	🇦🇷 ARGENTINA	105	76.2%	0.30
108	N.Sengiali	🇦🇷 ARGENTINA	105	76.2%	0.30
109	M.Santa Ana	🇦🇷 ARGENTINA	104	76.0%	0.33
110	T.Chung	🇹🇼 CHINESE TAIPEI	83	75.9%	0.31
111	S.Lee	🇹🇼 CHINESE TAIPEI	83	75.9%	0.31
112	B.Ellece	BOTSWANA	100	68.0%	0.47
113	G.Maele	BOTSWANA	100	68.0%	0.47
114	M.Moji	BOTSWANA	98	67.3%	0.52
115	K.Moleta	BOTSWANA	98	67.3%	0.52
116	X.Xia	🇨🇳 CHINA	27	96.3%	0.04
117	D.Cozart	🇨🇦 CANADA	38	89.5%	0.10
118	J.Tessarolo	🇨🇦 CANADA	38	89.5%	0.10
119	M.Eide	🇳🇴 NORWAY	40	87.5%	0.15
120	K.Fady	🇪🇬 EGYPT	48	83.3%	0.27
121	M.Tharwat	🇪🇬 EGYPT	58	82.8%	0.26
122	F.Vallecillo	🇦🇷 ARGENTINA	54	77.8%	0.28
123	F.Charignon	🇫🇷 FRANCE	40	77.5%	0.28
124	C.Laloubeyre	🇫🇷 FRANCE	40	77.5%	0.28

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	E.Wackwitz	🇳🇱 NETHERLANDS	224	+0.19	+0.79	+0.98	▲6
2	C.Westerbeek	🇳🇱 NETHERLANDS	224	+0.19	+0.79	+0.98	▲6
3	A.Grossack	🇺🇸 USA 1	210	-0.07	+1.03	+0.96	▼2
4	Z.Grossack	🇺🇸 USA 1	210	-0.07	+1.03	+0.96	▼2
5	M.Klukowski	🇵🇱 POLAND	224	+0.20	+0.75	+0.95	▲7
6	P.Tuczynski	🇵🇱 POLAND	224	+0.20	+0.75	+0.95	▲7
7	P.Jassem	🇵🇱 POLAND	224	+0.02	+0.80	+0.82	▼2
8	J.Wojcieszek	🇵🇱 POLAND	224	+0.02	+0.80	+0.82	▼2
9	A.Edgtton	🇦🇺 AUSTRALIA	252	-0.01	+0.78	+0.76	▲1
10	N.Edgtton	🇦🇺 AUSTRALIA	252	-0.01	+0.78	+0.76	▲1
11	S.Hult	🇸🇪 SWEDEN	238	-0.06	+0.78	+0.72	▼2
12	Y.Tao	🇨🇳 CHINA	280	+0.07	+0.63	+0.70	▲8
13	A.Altindag	🇹🇷 TURKEY	140	-0.03	+0.69	+0.66	▲3
14	Y.Kapusuz	🇹🇷 TURKEY	140	-0.03	+0.69	+0.66	▲3
15	J.Bernard	🇫🇷 FRANCE	210	+0.24	+0.40	+0.65	▲20
16	B.Combescure	🇫🇷 FRANCE	210	+0.24	+0.40	+0.65	▲20
17	T.Coudert	🇫🇷 FRANCE	294	+0.01	+0.61	+0.62	▲4
18	C.Lorenzini	🇫🇷 FRANCE	294	+0.01	+0.61	+0.62	▲4
19	Z.Tang	🇨🇳 CHINA	266	-0.01	+0.63	+0.61	·
20	M.Gronkvist	🇸🇪 SWEDEN	252	-0.05	+0.63	+0.58	▼2
21	K.Hegge	🇳🇴 NORWAY	280	-0.02	+0.60	+0.58	▲2
22	S.Liu	🇨🇳 CHINA	280	+0.01	+0.56	+0.57	▲5
23	Z.Brescoll	🇺🇸 USA 1	196	+0.18	+0.39	+0.57	▲14
24	A.Kaplan	🇺🇸 USA 1	196	+0.18	+0.39	+0.57	▲14
25	S.Ekenberg	🇸🇪 SWEDEN	238	-0.06	+0.59	+0.53	▼1
26	L.Zhang	🇨🇳 CHINA	294	-0.01	+0.53	+0.52	▲4
27	T.Grude	🇳🇴 NORWAY	280	-0.03	+0.54	+0.52	▲1
28	A.Stokka	🇸🇪 SWEDEN	210	-0.04	+0.53	+0.49	▲1
29	J.Van Lankveld	🇳🇱 NETHERLANDS	182	-0.10	+0.59	+0.49	▼4
30	R.Westerbeek	🇳🇱 NETHERLANDS	182	-0.10	+0.59	+0.49	▼4
31	M.Agica	🇺🇸 USA 1	182	-0.23	+0.72	+0.48	▼17
32	O.Lien	🇺🇸 USA 1	182	-0.23	+0.72	+0.48	▼17
33	D.Gullberg	🇸🇪 SWEDEN	238	+0.12	+0.35	+0.47	▲6
34	A.Koclar	🇹🇷 TURKEY	238	+0.19	+0.24	+0.43	▲13
35	U.Suzer	🇹🇷 TURKEY	238	+0.19	+0.24	+0.43	▲13
36	M.Bielawski	🇵🇱 POLAND	140	-0.45	+0.86	+0.41	▼33
37	S.Niajko	🇵🇱 POLAND	140	-0.45	+0.86	+0.41	▼33
38	S.Huang	🇨🇦 CANADA	252	+0.17	+0.20	+0.37	▲15
39	T.Walsh	🇨🇦 CANADA	252	+0.17	+0.20	+0.37	▲15
40	A.Aimala	🇫🇮 FINLAND	294	-0.05	+0.40	+0.35	▼7
41	V.Fagerlund	🇫🇮 FINLAND	294	-0.05	+0.40	+0.35	▼7
42	K.Ellingsen	🇳🇴 NORWAY	280	+0.10	+0.26	+0.35	▲2
43	G.Ho	🇭🇰 CHINA HONG KONG	196	+0.14	+0.19	+0.33	▲12
44	R.Tam	🇭🇰 CHINA HONG KONG	196	+0.14	+0.19	+0.33	▲12
45	G.Herman	🇺🇸 USA 2	210	+0.08	+0.24	+0.33	·
46	A.Hudson	🇺🇸 USA 2	210	+0.08	+0.24	+0.33	·
47	P.Chan	🇭🇰 CHINA HONG KONG	196	+0.01	+0.23	+0.24	▲2
48	L.Lam	🇭🇰 CHINA HONG KONG	196	+0.01	+0.23	+0.24	▲2
49	H.Eide	🇳🇴 NORWAY	238	+0.10	+0.09	+0.19	▲12
50	E.Macaulay	🇨🇦 CANADA	252	-0.01	+0.18	+0.17	▲7
51	J.Tsang	🇨🇦 CANADA	252	-0.01	+0.18	+0.17	▲7
52	D.Bilde	🇩🇰 DENMARK	238	-0.13	+0.20	+0.08	▼1
53	R.Jepsen	🇩🇰 DENMARK	238	-0.13	+0.20	+0.08	▼1
54	E.Aydogdu	🇹🇷 TURKEY	210	-0.34	+0.40	+0.06	▼23
55	B.Ozen	🇹🇷 TURKEY	210	-0.34	+0.40	+0.06	▼23
56	T.Polak	🇳🇱 NETHERLANDS	182	-0.24	+0.29	+0.05	▼14
57	T.Van Overbeeke	🇳🇱 NETHERLANDS	182	-0.24	+0.29	+0.05	▼14
58	J.Thompson	🇦🇺 AUSTRALIA	182	+0.19	-0.15	+0.04	▲15
59	S.Williams	🇦🇺 AUSTRALIA	182	+0.19	-0.15	+0.04	▲15
60	Y.Chen	🇹🇼 CHINESE TAIPEI	196	+0.14	-0.11	+0.03	▲6
61	J.Wang	🇹🇼 CHINESE TAIPEI	196	+0.14	-0.11	+0.03	▲6
62	L.Ginnan	🇦🇺 AUSTRALIA	154	-0.29	+0.30	+0.01	▼22
63	J.Howard	🇦🇺 AUSTRALIA	154	-0.29	+0.30	+0.01	▼22
64	B.Lui	🇭🇰 CHINA HONG KONG	196	-0.17	+0.18	+0.01	▼5
65	C.Wai	🇭🇰 CHINA HONG KONG	196	-0.17	+0.18	+0.01	▼5
66	S.Bailey	🇳🇿 NEW ZEALAND	210	+0.18	-0.21	-0.03	▲10
67	S.Coutts	🇳🇿 NEW ZEALAND	210	+0.18	-0.21	-0.03	▲10
68	W.Mamdouh	🇪🇬 EGYPT	238	+0.11	-0.15	-0.04	▲4
69	E.Wu	🇺🇸 USA 2	196	+0.02	-0.08	-0.05	▼5
70	W.Zhu	🇺🇸 USA 2	196	+0.02	-0.08	-0.05	▼5
71	M.Nashaat	🇪🇬 EGYPT	224	+0.09	-0.17	-0.09	▲4
72	K.Lazar	🇩🇪 GERMANY	294	+0.01	-0.11	-0.10	▼4
73	B.Szirmay-Kalos	🇩🇪 GERMANY	294	+0.01	-0.11	-0.10	▼4
74	A.Morgiel	🇩🇪 GERMANY	294	-0.01	-0.13	-0.13	▼4
75	V.Vikjord	🇩🇪 GERMANY	294	-0.01	-0.13	-0.13	▼4
76	Z.Wang	🇺🇸 USA 2	182	-0.12	-0.02	-0.14	▼14
77	E.Zhou	🇺🇸 USA 2	182	-0.12	-0.02	-0.14	▼14
78	G.Coutts	🇳🇿 NEW ZEALAND	252	+0.11	-0.25	-0.14	▲4
79	N.Jacob	🇳🇿 NEW ZEALAND	252	+0.11	-0.25	-0.14	▲4
80	K.Lim	🇸🇬 SINGAPORE	182	+0.07	-0.23	-0.16	▼2
81	S.Shan	🇸🇬 SINGAPORE	182	+0.07	-0.23	-0.16	▼2
82	M.Abdel-Aziz	🇪🇬 EGYPT	266	+0.09	-0.30	-0.21	▲4
83	A.Alselehdar	🇪🇬 EGYPT	266	+0.09	-0.30	-0.21	▲4
84	M.Myllaeri	🇫🇮 FINLAND	210	+0.27	-0.50	-0.23	▲16
85	S.Ng	🇸🇬 SINGAPORE	210	+0.01	-0.30	-0.29	▼1
86	J.Ong	🇸🇬 SINGAPORE	210	+0.01	-0.30	-0.29	▼1
87	E.Buus Thomsen	🇩🇰 DENMARK	182	+0.12	-0.49	-0.37	▲11
88	S.Buus Thomsen	🇩🇰 DENMARK	182	+0.12	-0.49	-0.37	▲11
89	M.Bilde	🇩🇰 DENMARK	168	-0.07	-0.32	-0.39	▲1
90	P.Jepsen	🇩🇰 DENMARK	168	-0.07	-0.32	-0.39	▲1
91	S.Kabra	🇮🇳 INDIA	294	+0.05	-0.46	-0.41	▲5
92	R.Ravichandran	🇮🇳 INDIA	294	+0.05	-0.46	-0.41	▲5
93	S.Mitra	🇮🇳 INDIA	294	+0.02	-0.44	-0.42	▲1
94	SARKAR ANINDRA	🇮🇳 INDIA	294	+0.02	-0.44	-0.42	▲1
95	R.Chan	🇸🇬 SINGAPORE	196	-0.11	-0.32	-0.43	▼7
96	D.Lee	🇸🇬 SINGAPORE	196	-0.11	-0.32	-0.43	▼7
97	O.Koivu	🇫🇮 FINLAND	210	+0.10	-0.56	-0.46	▲5
98	H.Huang	🇹🇼 CHINESE TAIPEI	210	-0.08	-0.38	-0.46	▼6
99	Y.Tai	🇹🇼 CHINESE TAIPEI	210	-0.08	-0.38	-0.46	▼6
100	S.Rueda	🇦🇷 ARGENTINA	224	+0.32	-0.83	-0.52	▲7
101	A.Koivu	🇫🇮 FINLAND	168	-0.07	-0.52	-0.59	·
102	T.Chung	🇹🇼 CHINESE TAIPEI	182	+0.03	-0.67	-0.64	▲1
103	S.Lee	🇹🇼 CHINESE TAIPEI	182	+0.03	-0.67	-0.64	▲1
104	V.Bouton	🇳🇿 NEW ZEALAND	126	-0.41	-0.24	-0.65	▼24
105	M.Brown	🇳🇿 NEW ZEALAND	126	-0.41	-0.24	-0.65	▼24
106	F.Von Brudersdorff	🇦🇷 ARGENTINA	238	+0.06	-0.81	-0.75	·
107	M.Santa Ana	🇦🇷 ARGENTINA	196	-0.12	-0.79	-0.91	▼2
108	A.Argain	🇦🇷 ARGENTINA	210	+0.06	-1.39	-1.34	·
109	N.Sengiali	🇦🇷 ARGENTINA	210	+0.06	-1.39	-1.34	·
110	M.Malilo	BOTSWANA	210	+0.08	-2.13	-2.06	·
111	P.Ramoseki	BOTSWANA	210	+0.08	-2.13	-2.06	·
112	M.Moji	BOTSWANA	182	+0.33	-2.70	-2.36	·
113	K.Moleta	BOTSWANA	182	+0.33	-2.70	-2.36	·
114	B.Ellece	BOTSWANA	196	+0.07	-2.94	-2.87	·
115	G.Maele	BOTSWANA	196	+0.07	-2.94	-2.87	·

Stages

Statistics