Marrakech 2023 — player statistics

Four double-dummy measures per player plus bidding activity, over every board they played, and an opponent-adjusted (strength-of-schedule) Butler. Each table lists all players and is sortable by any column. Double-dummy is idealised — the true best play needs all four hands — so read these as tendencies, not verdicts.

Butler vs double-dummy par↑ top

IMPs per board scored above (+) or below (−) the board’s minimax par — what real bidding and play (theirs and the opponents’) added or gave away against perfect double-dummy play. Players with few boards are greyed. Click a column header to sort; filter by name or team.

#	Player	Team	Boards	/board	Total
1	M.Kwiecien	🇵🇱 POLAND	336	+1.09	+365.0
2	W.Starkowski	🇵🇱 POLAND	336	+1.09	+365.0
3	D.Cohen	🇮🇱 ISRAEL	304	+0.95	+290.0
4	J.Engel	🇮🇱 ISRAEL	304	+0.95	+290.0
5	D.Schaltz	🇩🇰 DENMARK	224	+0.95	+213.0
6	P.Schaltz	🇩🇰 DENMARK	224	+0.95	+213.0
7	J.Kolen	🇳🇱 NETHERLANDS	272	+0.93	+252.0
8	A.Mulder	🇳🇱 NETHERLANDS	272	+0.93	+252.0
9	F.Bigdeli	🇧🇪 BELGIUM	288	+0.87	+250.0
10	P.Coenraets	🇧🇪 BELGIUM	288	+0.87	+250.0
11	A.Kanetkar	🇦🇺 AUSTRALIA	272	+0.87	+236.0
12	D.Casen	🇺🇸 USA1	240	+0.83	+200.0
13	J.Krekorian	🇺🇸 USA1	240	+0.83	+200.0
14	D.Beauchamp	🇦🇺 AUSTRALIA	256	+0.83	+212.0
15	B.Hamman	🇺🇸 USA2	255	+0.60	+152.0
16	P.Weichsel	🇺🇸 USA2	255	+0.60	+152.0
17	P.Chottin	🇫🇷 FRANCE	256	+0.56	+143.0
18	H.Fleury	🇫🇷 FRANCE	256	+0.56	+143.0
19	G.Sellden	🇸🇪 SWEDEN	240	+0.55	+133.0
20	B.Wenneberg	🇸🇪 SWEDEN	240	+0.55	+133.0
21	S.Basak	🇮🇳 INDIA	224	+0.47	+105.0
22	H.Jalan	🇮🇳 INDIA	224	+0.47	+105.0
23	S.Johnsen	🇳🇴 NORWAY	256	+0.47	+120.0
24	A.Stokkeland	🇳🇴 NORWAY	256	+0.47	+120.0
25	N.Hanna	🇨🇦 CANADA	240	+0.46	+110.0
26	J.Rayner	🇨🇦 CANADA	240	+0.46	+110.0
27	V.Koneru	🇺🇸 USA1	288	+0.43	+125.0
28	P.Rajadhyaksha	🇺🇸 USA1	288	+0.43	+125.0
29	R.Lin	🇨🇳 CHINA	252	+0.43	+108.0
30	J.Tao	🇨🇳 CHINA	252	+0.43	+108.0
31	P.Eliasson	🇸🇪 SWEDEN	224	+0.42	+93.0
32	G.Elmroth	🇸🇪 SWEDEN	224	+0.42	+93.0
33	J.Hansen	🇩🇰 DENMARK	256	+0.39	+100.0
34	S.Schou	🇩🇰 DENMARK	256	+0.39	+100.0
35	D.Baxter	🇨🇦 CANADA	256	+0.36	+93.0
36	D.Lindop	🇨🇦 CANADA	256	+0.36	+93.0
37	M.Dunitz	🇺🇸 USA2	240	+0.30	+71.0
38	R.Grabel	🇺🇸 USA2	240	+0.30	+71.0
39	W.Fornasari	🇦🇷 ARGENTINA	255	+0.29	+75.0
40	L.Palazzo	🇦🇷 ARGENTINA	255	+0.29	+75.0
41	A.Mina	🇮🇹 ITALY	320	+0.29	+93.0
42	R.Pulga	🇮🇹 ITALY	320	+0.29	+93.0
43	M.Hussain	🇵🇰 PAKISTAN	320	+0.29	+92.0
44	A.Farstad	🇳🇴 NORWAY	240	+0.27	+65.0
45	J.Mikkelsen	🇳🇴 NORWAY	240	+0.27	+65.0
46	H.Camberos	🇦🇷 ARGENTINA	256	+0.27	+69.0
47	E.Muzzio	🇦🇷 ARGENTINA	256	+0.27	+69.0
48	Y.Liang	🇨🇳 CHINA	220	+0.27	+59.0
49	X.Shen	🇨🇳 CHINA	220	+0.27	+59.0
50	A.Goodman	🇺🇸 USA1	208	+0.23	+48.0
51	M.Passell	🇺🇸 USA1	208	+0.23	+48.0
52	S.Chan	🇭🇰 HONG KONG CHINA	256	+0.23	+59.0
53	R.Ling	🇭🇰 HONG KONG CHINA	256	+0.23	+59.0
54	J.Chung	🇹🇼 CHINESE TAIPEI	367	+0.21	+77.0
55	C.Lin	🇹🇼 CHINESE TAIPEI	367	+0.21	+77.0
56	N.Chambers	🇺🇸 USA2	240	+0.20	+47.0
57	J.Schermer	🇺🇸 USA2	240	+0.20	+47.0
58	L.Eide	🇳🇴 NORWAY	240	+0.19	+45.0
59	O.Frydenberg	🇳🇴 NORWAY	240	+0.19	+45.0
60	S.Akhtar	🇵🇰 PAKISTAN	256	+0.15	+38.0
61	A.Buratti	🇮🇹 ITALY	284	+0.13	+36.0
62	G.Failla	🇮🇹 ITALY	284	+0.13	+36.0
63	M.Claret	🇫🇷 FRANCE	240	+0.10	+23.0
64	J.Rocafort	🇫🇷 FRANCE	240	+0.10	+23.0
65	M.Ahmed	🇵🇰 PAKISTAN	352	+0.08	+28.0
66	P.Dordhain	🇷🇪 REUNION	304	+0.08	+23.0
67	P.Bizon	🇵🇱 POLAND	272	+0.07	+19.0
68	M.Blat	🇵🇱 POLAND	272	+0.07	+19.0
69	J.Palmieri	🇷🇪 REUNION	288	+0.07	+20.0
70	W.Gosschalk	🇳🇱 NETHERLANDS	224	+0.07	+15.0
71	W.Van Eijck	🇳🇱 NETHERLANDS	224	+0.07	+15.0
72	P.Bardhan	🇮🇳 INDIA	256	+0.07	+17.0
73	B.Das	🇮🇳 INDIA	256	+0.07	+17.0
74	L.Hofland	🇳🇱 NETHERLANDS	240	-0.02	-4.0
75	B.Van Der Hoek	🇳🇱 NETHERLANDS	240	-0.02	-4.0
76	K.Cheng	🇹🇼 CHINESE TAIPEI	367	-0.05	-19.0
77	J.Shih	🇹🇼 CHINESE TAIPEI	367	-0.05	-19.0
78	A.Kaplan	🇧🇪 BELGIUM	272	-0.10	-28.0
79	G.Polet	🇧🇪 BELGIUM	272	-0.10	-28.0
80	J.Carrera	🇨🇴 COLOMBIA	271	-0.11	-31.0
81	P.Lavings	🇦🇺 AUSTRALIA	192	-0.13	-25.0
82	M.Gustawsson	🇸🇪 SWEDEN	272	-0.15	-40.0
83	J.Sylvan	🇸🇪 SWEDEN	272	-0.15	-40.0
84	D.Johnson	🇧🇪 BELGIUM	176	-0.15	-26.0
85	J.Stas	🇧🇪 BELGIUM	176	-0.15	-26.0
86	A.Bitran	🇫🇷 FRANCE	240	-0.24	-58.0
87	F.Stretz	🇫🇷 FRANCE	240	-0.24	-58.0
88	L.Chemaly	🇿🇦 SOUTH AFRICA	240	-0.27	-64.0
89	J.Grant	🇿🇦 SOUTH AFRICA	240	-0.27	-64.0
90	K.Adamsen	🇩🇰 DENMARK	256	-0.27	-70.0
91	D.Koch-Palmund	🇩🇰 DENMARK	256	-0.27	-70.0
92	P.Lambardi	🇦🇷 ARGENTINA	223	-0.28	-62.0
93	M.Macri	🇦🇷 ARGENTINA	223	-0.28	-62.0
94	R.Krochmalik	🇦🇺 AUSTRALIA	176	-0.28	-49.0
95	M.Berrada	🇲🇦 MOROCCO	272	-0.28	-77.0
96	M.Shen	🇨🇳 CHINA	256	-0.29	-73.0
97	M.Sun	🇨🇳 CHINA	256	-0.29	-73.0
98	E.Orenstein	🇮🇱 ISRAEL	256	-0.30	-78.0
99	D.Yadlin	🇮🇱 ISRAEL	256	-0.30	-78.0
100	D.Minwalla	🇿🇦 SOUTH AFRICA	256	-0.32	-81.0
101	B.Pincus	🇿🇦 SOUTH AFRICA	256	-0.32	-81.0
102	S.Das	🇮🇳 INDIA	256	-0.33	-84.0
103	S.Saha	🇮🇳 INDIA	256	-0.33	-84.0
104	K.Bensouda	🇲🇦 MOROCCO	240	-0.36	-86.0
105	S.Gardezi	🇵🇰 PAKISTAN	272	-0.46	-125.0
106	S.Burgess	🇦🇺 AUSTRALIA	288	-0.47	-135.0
107	G.Lorentz	🇦🇺 AUSTRALIA	288	-0.47	-135.0
108	H.Jordan	🇨🇴 COLOMBIA	192	-0.53	-101.0
109	S.Fabbricatore	🇬🇵 GUADELOUPE	256	-0.55	-141.0
110	G.Lopez	🇬🇵 GUADELOUPE	256	-0.55	-141.0
111	R.Dalton	🇨🇦 CANADA	240	-0.58	-140.0
112	V.Oddy	🇨🇦 CANADA	240	-0.58	-140.0
113	A.Rivas	🇨🇴 COLOMBIA	272	-0.71	-192.0
114	P.Hamel	🇷🇪 REUNION	304	-0.72	-220.0
115	A.Rerhaye	🇲🇦 MOROCCO	256	-0.75	-192.0
116	S.Hamid	🇵🇰 PAKISTAN	272	-0.75	-205.0
117	J.Breslaw	🇷🇪 REUNION	272	-0.78	-212.0
118	P.Bonnet	🇬🇵 GUADELOUPE	224	-0.79	-178.0
119	J.Grenie	🇬🇵 GUADELOUPE	224	-0.79	-178.0
120	K.Fung	🇭🇰 HONG KONG CHINA	240	-0.87	-208.0
121	H.Lam	🇭🇰 HONG KONG CHINA	240	-0.87	-208.0
122	A.Belkouch	🇲🇦 MOROCCO	304	-0.90	-273.0
123	Y.Lubinski	🇮🇱 ISRAEL	176	-0.91	-160.0
124	M.Mark	🇮🇱 ISRAEL	176	-0.91	-160.0
125	M.Dinia	🇲🇦 MOROCCO	272	-0.92	-250.0
126	A.Hoyos	🇨🇴 COLOMBIA	240	-0.93	-222.0
127	P.Gilliocq	🇬🇵 GUADELOUPE	256	-0.93	-237.0
128	F.Mondor	🇬🇵 GUADELOUPE	256	-0.93	-237.0
129	A.Leigh	🇭🇰 HONG KONG CHINA	240	-0.95	-229.0
130	P.Ling	🇭🇰 HONG KONG CHINA	240	-0.95	-229.0
131	M.Alexander	🇿🇦 SOUTH AFRICA	240	-1.10	-264.0
132	M.Narunsky	🇿🇦 SOUTH AFRICA	240	-1.10	-264.0
133	R.Nino	🇨🇴 COLOMBIA	271	-1.16	-314.0
134	C.Giraud	🇷🇪 REUNION	304	-1.32	-401.0
135	C.Barrientos	🇨🇴 COLOMBIA	224	-1.58	-354.0
136	A.Comella	🇮🇹 ITALY	124	+0.60	+74.0
137	S.Sabbatini	🇮🇹 ITALY	124	+0.60	+74.0
138	V.Markowicz	🇵🇱 POLAND	128	+0.28	+36.0
139	K.Moszczynski	🇵🇱 POLAND	128	+0.28	+36.0
140	A.El Ghrari	🇲🇦 MOROCCO	128	-0.95	-122.0

Opening-lead accuracy↑ top

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

#	Player	Team	Leads	On target	Conceded
1	J.Tao	🇨🇳 CHINA	65	92.3%	0.08
2	P.Hamel	🇷🇪 REUNION	68	91.2%	0.10
3	H.Jalan	🇮🇳 INDIA	51	90.2%	0.12
4	S.Akhtar	🇵🇰 PAKISTAN	59	89.8%	0.12
5	A.Stokkeland	🇳🇴 NORWAY	74	89.2%	0.16
6	J.Krekorian	🇺🇸 USA1	46	89.1%	0.13
7	X.Shen	🇨🇳 CHINA	54	88.9%	0.13
8	H.Jordan	🇨🇴 COLOMBIA	43	88.4%	0.12
9	A.Goodman	🇺🇸 USA1	57	87.7%	0.12
10	F.Bigdeli	🇧🇪 BELGIUM	65	87.7%	0.15
11	J.Palmieri	🇷🇪 REUNION	80	87.5%	0.14
12	P.Lavings	🇦🇺 AUSTRALIA	47	87.2%	0.13
13	L.Palazzo	🇦🇷 ARGENTINA	62	87.1%	0.13
14	Y.Lubinski	🇮🇱 ISRAEL	38	86.8%	0.18
15	W.Starkowski	🇵🇱 POLAND	76	86.8%	0.20
16	V.Koneru	🇺🇸 USA1	60	86.7%	0.13
17	R.Ling	🇭🇰 HONG KONG CHINA	60	86.7%	0.18
18	G.Elmroth	🇸🇪 SWEDEN	66	86.4%	0.14
19	D.Beauchamp	🇦🇺 AUSTRALIA	59	86.4%	0.29
20	P.Coenraets	🇧🇪 BELGIUM	58	86.2%	0.14
21	J.Stas	🇧🇪 BELGIUM	57	86.0%	0.19
22	A.Kanetkar	🇦🇺 AUSTRALIA	78	85.9%	0.18
23	D.Cohen	🇮🇱 ISRAEL	83	85.5%	0.20
24	R.Krochmalik	🇦🇺 AUSTRALIA	41	85.4%	0.15
25	J.Hansen	🇩🇰 DENMARK	68	85.3%	0.16
26	S.Gardezi	🇵🇰 PAKISTAN	61	85.2%	0.16
27	B.Das	🇮🇳 INDIA	61	85.2%	0.21
28	M.Kwiecien	🇵🇱 POLAND	87	85.1%	0.15
29	J.Rayner	🇨🇦 CANADA	60	85.0%	0.17
30	G.Sellden	🇸🇪 SWEDEN	59	84.7%	0.15
31	J.Rocafort	🇫🇷 FRANCE	59	84.7%	0.15
32	B.Hamman	🇺🇸 USA2	59	84.7%	0.19
33	L.Chemaly	🇿🇦 SOUTH AFRICA	58	84.5%	0.22
34	W.Van Eijck	🇳🇱 NETHERLANDS	51	84.3%	0.22
35	A.Rerhaye	🇲🇦 MOROCCO	70	84.3%	0.23
36	D.Lindop	🇨🇦 CANADA	57	84.2%	0.16
37	G.Failla	🇮🇹 ITALY	76	84.2%	0.24
38	P.Bardhan	🇮🇳 INDIA	63	84.1%	0.16
39	S.Basak	🇮🇳 INDIA	56	83.9%	0.23
40	P.Ling	🇭🇰 HONG KONG CHINA	67	83.6%	0.18
41	O.Frydenberg	🇳🇴 NORWAY	55	83.6%	0.20
42	N.Hanna	🇨🇦 CANADA	55	83.6%	0.24
43	W.Fornasari	🇦🇷 ARGENTINA	66	83.3%	0.27
44	N.Chambers	🇺🇸 USA2	59	83.1%	0.17
45	E.Muzzio	🇦🇷 ARGENTINA	71	83.1%	0.20
46	R.Lin	🇨🇳 CHINA	65	83.1%	0.20
47	A.Mulder	🇳🇱 NETHERLANDS	80	82.5%	0.21
48	L.Eide	🇳🇴 NORWAY	57	82.5%	0.26
49	J.Schermer	🇺🇸 USA2	51	82.4%	0.20
50	J.Kolen	🇳🇱 NETHERLANDS	68	82.4%	0.23
51	M.Dinia	🇲🇦 MOROCCO	62	82.3%	0.18
52	P.Bizon	🇵🇱 POLAND	79	82.3%	0.25
53	S.Saha	🇮🇳 INDIA	67	82.1%	0.21
54	V.Oddy	🇨🇦 CANADA	56	82.1%	0.21
55	K.Cheng	🇹🇼 CHINESE TAIPEI	95	82.1%	0.23
56	S.Johnsen	🇳🇴 NORWAY	61	82.0%	0.20
57	K.Bensouda	🇲🇦 MOROCCO	61	82.0%	0.23
58	S.Fabbricatore	🇬🇵 GUADELOUPE	83	81.9%	0.20
59	A.Belkouch	🇲🇦 MOROCCO	72	81.9%	0.21
60	J.Shih	🇹🇼 CHINESE TAIPEI	88	81.8%	0.19
61	D.Baxter	🇨🇦 CANADA	71	81.7%	0.18
62	G.Lorentz	🇦🇺 AUSTRALIA	60	81.7%	0.20
63	D.Johnson	🇧🇪 BELGIUM	38	81.6%	0.32
64	A.Leigh	🇭🇰 HONG KONG CHINA	54	81.5%	0.18
65	M.Alexander	🇿🇦 SOUTH AFRICA	65	81.5%	0.23
66	G.Polet	🇧🇪 BELGIUM	59	81.4%	0.24
67	G.Lopez	🇬🇵 GUADELOUPE	59	81.4%	0.24
68	A.Hoyos	🇨🇴 COLOMBIA	48	81.2%	0.19
69	P.Chottin	🇫🇷 FRANCE	64	81.2%	0.20
70	W.Gosschalk	🇳🇱 NETHERLANDS	64	81.2%	0.27
71	M.Ahmed	🇵🇰 PAKISTAN	90	81.1%	0.28
72	C.Giraud	🇷🇪 REUNION	78	80.8%	0.24
73	M.Sun	🇨🇳 CHINA	57	80.7%	0.19
74	J.Chung	🇹🇼 CHINESE TAIPEI	114	80.7%	0.25
75	K.Adamsen	🇩🇰 DENMARK	57	80.7%	0.30
76	J.Grant	🇿🇦 SOUTH AFRICA	62	80.6%	0.24
77	A.Bitran	🇫🇷 FRANCE	56	80.4%	0.21
78	D.Schaltz	🇩🇰 DENMARK	56	80.4%	0.27
79	F.Stretz	🇫🇷 FRANCE	51	80.4%	0.28
80	E.Orenstein	🇮🇱 ISRAEL	71	80.3%	0.23
81	D.Minwalla	🇿🇦 SOUTH AFRICA	70	80.0%	0.21
82	J.Grenie	🇬🇵 GUADELOUPE	65	80.0%	0.25
83	R.Pulga	🇮🇹 ITALY	85	80.0%	0.26
84	M.Claret	🇫🇷 FRANCE	64	79.7%	0.23
85	K.Fung	🇭🇰 HONG KONG CHINA	59	79.7%	0.29
86	M.Hussain	🇵🇰 PAKISTAN	87	79.3%	0.22
87	R.Grabel	🇺🇸 USA2	58	79.3%	0.22
88	M.Mark	🇮🇱 ISRAEL	43	79.1%	0.21
89	A.Buratti	🇮🇹 ITALY	67	79.1%	0.31
90	R.Nino	🇨🇴 COLOMBIA	66	78.8%	0.26
91	P.Gilliocq	🇬🇵 GUADELOUPE	66	78.8%	0.27
92	C.Barrientos	🇨🇴 COLOMBIA	52	78.8%	0.29
93	H.Lam	🇭🇰 HONG KONG CHINA	61	78.7%	0.25
94	B.Wenneberg	🇸🇪 SWEDEN	56	78.6%	0.29
95	D.Casen	🇺🇸 USA1	65	78.5%	0.23
96	A.Mina	🇮🇹 ITALY	79	78.5%	0.24
97	S.Chan	🇭🇰 HONG KONG CHINA	79	78.5%	0.29
98	M.Gustawsson	🇸🇪 SWEDEN	60	78.3%	0.25
99	J.Carrera	🇨🇴 COLOMBIA	55	78.2%	0.33
100	F.Mondor	🇬🇵 GUADELOUPE	55	78.2%	0.34
101	L.Hofland	🇳🇱 NETHERLANDS	59	78.0%	0.25
102	A.Kaplan	🇧🇪 BELGIUM	77	77.9%	0.27
103	H.Fleury	🇫🇷 FRANCE	63	77.8%	0.24
104	P.Bonnet	🇬🇵 GUADELOUPE	54	77.8%	0.30
105	D.Yadlin	🇮🇱 ISRAEL	63	77.8%	0.30
106	B.Van Der Hoek	🇳🇱 NETHERLANDS	58	77.6%	0.26
107	S.Schou	🇩🇰 DENMARK	58	77.6%	0.28
108	J.Engel	🇮🇱 ISRAEL	75	77.3%	0.31
109	C.Lin	🇹🇼 CHINESE TAIPEI	70	77.1%	0.27
110	P.Rajadhyaksha	🇺🇸 USA1	78	76.9%	0.27
111	P.Eliasson	🇸🇪 SWEDEN	56	76.8%	0.30
112	M.Dunitz	🇺🇸 USA2	77	76.6%	0.35
113	S.Das	🇮🇳 INDIA	62	75.8%	0.27
114	M.Berrada	🇲🇦 MOROCCO	66	75.8%	0.32
115	B.Pincus	🇿🇦 SOUTH AFRICA	62	75.8%	0.34
116	S.Burgess	🇦🇺 AUSTRALIA	82	75.6%	0.34
117	P.Weichsel	🇺🇸 USA2	65	75.4%	0.31
118	P.Dordhain	🇷🇪 REUNION	68	75.0%	0.31
119	R.Dalton	🇨🇦 CANADA	64	75.0%	0.34
120	D.Koch-Palmund	🇩🇰 DENMARK	72	75.0%	0.35
121	Y.Liang	🇨🇳 CHINA	48	75.0%	0.35
122	S.Hamid	🇵🇰 PAKISTAN	80	73.8%	0.35
123	M.Narunsky	🇿🇦 SOUTH AFRICA	57	73.7%	0.33
124	P.Lambardi	🇦🇷 ARGENTINA	72	73.6%	0.31
125	H.Camberos	🇦🇷 ARGENTINA	60	73.3%	0.32
126	P.Schaltz	🇩🇰 DENMARK	56	73.2%	0.32
127	J.Breslaw	🇷🇪 REUNION	63	73.0%	0.30
128	M.Blat	🇵🇱 POLAND	66	72.7%	0.29
129	J.Sylvan	🇸🇪 SWEDEN	66	72.7%	0.29
130	J.Mikkelsen	🇳🇴 NORWAY	61	72.1%	0.38
131	M.Passell	🇺🇸 USA1	53	71.7%	0.34
132	M.Macri	🇦🇷 ARGENTINA	58	70.7%	0.38
133	A.Rivas	🇨🇴 COLOMBIA	77	70.1%	0.35
134	M.Shen	🇨🇳 CHINA	74	67.6%	0.43
135	A.Farstad	🇳🇴 NORWAY	62	66.1%	0.35
136	K.Moszczynski	🇵🇱 POLAND	30	86.7%	0.13
137	V.Markowicz	🇵🇱 POLAND	33	78.8%	0.24
138	A.El Ghrari	🇲🇦 MOROCCO	31	77.4%	0.26
139	S.Sabbatini	🇮🇹 ITALY	28	75.0%	0.39
140	A.Comella	🇮🇹 ITALY	31	71.0%	0.39

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.Kaplan	🇧🇪 BELGIUM	64	89.1%	0.16
2	P.Lambardi	🇦🇷 ARGENTINA	52	88.5%	0.15
3	M.Passell	🇺🇸 USA1	61	85.2%	0.15
4	P.Bardhan	🇮🇳 INDIA	74	85.1%	0.22
5	D.Cohen	🇮🇱 ISRAEL	56	83.9%	0.18
6	J.Mikkelsen	🇳🇴 NORWAY	62	83.9%	0.21
7	J.Tao	🇨🇳 CHINA	61	83.6%	0.23
8	S.Schou	🇩🇰 DENMARK	60	83.3%	0.23
9	D.Koch-Palmund	🇩🇰 DENMARK	58	82.8%	0.21
10	S.Burgess	🇦🇺 AUSTRALIA	67	82.1%	0.18
11	D.Lindop	🇨🇦 CANADA	66	81.8%	0.23
12	P.Lavings	🇦🇺 AUSTRALIA	44	81.8%	0.25
13	P.Schaltz	🇩🇰 DENMARK	60	81.7%	0.18
14	X.Shen	🇨🇳 CHINA	60	81.7%	0.23
15	S.Saha	🇮🇳 INDIA	54	81.5%	0.20
16	J.Kolen	🇳🇱 NETHERLANDS	69	81.2%	0.19
17	G.Sellden	🇸🇪 SWEDEN	64	81.2%	0.19
18	D.Casen	🇺🇸 USA1	64	81.2%	0.25
19	D.Beauchamp	🇦🇺 AUSTRALIA	58	81.0%	0.24
20	P.Coenraets	🇧🇪 BELGIUM	89	80.9%	0.24
21	G.Elmroth	🇸🇪 SWEDEN	52	80.8%	0.27
22	B.Wenneberg	🇸🇪 SWEDEN	61	80.3%	0.23
23	A.Kanetkar	🇦🇺 AUSTRALIA	71	80.3%	0.25
24	S.Johnsen	🇳🇴 NORWAY	66	80.3%	0.27
25	P.Rajadhyaksha	🇺🇸 USA1	81	80.2%	0.23
26	P.Chottin	🇫🇷 FRANCE	70	80.0%	0.20
27	J.Shih	🇹🇼 CHINESE TAIPEI	95	80.0%	0.23
28	M.Kwiecien	🇵🇱 POLAND	95	80.0%	0.24
29	E.Orenstein	🇮🇱 ISRAEL	59	79.7%	0.20
30	H.Fleury	🇫🇷 FRANCE	59	79.7%	0.27
31	A.Buratti	🇮🇹 ITALY	73	79.5%	0.25
32	L.Eide	🇳🇴 NORWAY	63	79.4%	0.22
33	J.Palmieri	🇷🇪 REUNION	68	79.4%	0.27
34	J.Carrera	🇨🇴 COLOMBIA	92	79.3%	0.29
35	M.Hussain	🇵🇰 PAKISTAN	76	78.9%	0.24
36	W.Van Eijck	🇳🇱 NETHERLANDS	52	78.8%	0.25
37	M.Gustawsson	🇸🇪 SWEDEN	74	78.4%	0.24
38	M.Dinia	🇲🇦 MOROCCO	51	78.4%	0.28
39	A.Mulder	🇳🇱 NETHERLANDS	55	78.2%	0.26
40	B.Hamman	🇺🇸 USA2	64	78.1%	0.27
41	N.Hanna	🇨🇦 CANADA	63	77.8%	0.24
42	J.Engel	🇮🇱 ISRAEL	90	77.8%	0.26
43	Y.Liang	🇨🇳 CHINA	58	77.6%	0.24
44	F.Bigdeli	🇧🇪 BELGIUM	76	77.6%	0.26
45	K.Cheng	🇹🇼 CHINESE TAIPEI	88	77.3%	0.25
46	A.Bitran	🇫🇷 FRANCE	66	77.3%	0.30
47	Y.Lubinski	🇮🇱 ISRAEL	57	77.2%	0.32
48	S.Gardezi	🇵🇰 PAKISTAN	74	77.0%	0.24
49	R.Pulga	🇮🇹 ITALY	78	76.9%	0.32
50	S.Basak	🇮🇳 INDIA	56	76.8%	0.27
51	N.Chambers	🇺🇸 USA2	64	76.6%	0.27
52	G.Failla	🇮🇹 ITALY	68	76.5%	0.29
53	C.Lin	🇹🇼 CHINESE TAIPEI	93	76.3%	0.25
54	R.Dalton	🇨🇦 CANADA	59	76.3%	0.29
55	M.Blat	🇵🇱 POLAND	63	76.2%	0.24
56	R.Ling	🇭🇰 HONG KONG CHINA	67	76.1%	0.27
57	G.Lorentz	🇦🇺 AUSTRALIA	79	75.9%	0.28
58	A.Rerhaye	🇲🇦 MOROCCO	54	75.9%	0.33
59	M.Alexander	🇿🇦 SOUTH AFRICA	58	75.9%	0.36
60	J.Rayner	🇨🇦 CANADA	62	75.8%	0.27
61	A.Mina	🇮🇹 ITALY	78	75.6%	0.27
62	J.Chung	🇹🇼 CHINESE TAIPEI	90	75.6%	0.34
63	J.Grant	🇿🇦 SOUTH AFRICA	61	75.4%	0.26
64	J.Hansen	🇩🇰 DENMARK	69	75.4%	0.35
65	W.Gosschalk	🇳🇱 NETHERLANDS	57	75.4%	0.39
66	P.Bizon	🇵🇱 POLAND	64	75.0%	0.31
67	M.Ahmed	🇵🇰 PAKISTAN	78	74.4%	0.32
68	D.Baxter	🇨🇦 CANADA	62	74.2%	0.35
69	W.Fornasari	🇦🇷 ARGENTINA	58	74.1%	0.29
70	B.Das	🇮🇳 INDIA	58	74.1%	0.31
71	K.Adamsen	🇩🇰 DENMARK	69	73.9%	0.30
72	H.Jalan	🇮🇳 INDIA	61	73.8%	0.34
73	R.Grabel	🇺🇸 USA2	57	73.7%	0.30
74	M.Mark	🇮🇱 ISRAEL	38	73.7%	0.32
75	D.Minwalla	🇿🇦 SOUTH AFRICA	74	73.0%	0.32
76	S.Akhtar	🇵🇰 PAKISTAN	63	73.0%	0.35
77	M.Dunitz	🇺🇸 USA2	48	72.9%	0.29
78	E.Muzzio	🇦🇷 ARGENTINA	70	72.9%	0.31
79	L.Chemaly	🇿🇦 SOUTH AFRICA	59	72.9%	0.41
80	L.Hofland	🇳🇱 NETHERLANDS	62	72.6%	0.35
81	J.Stas	🇧🇪 BELGIUM	51	72.5%	0.31
82	V.Koneru	🇺🇸 USA1	69	72.5%	0.32
83	C.Barrientos	🇨🇴 COLOMBIA	50	72.0%	0.34
84	B.Pincus	🇿🇦 SOUTH AFRICA	50	72.0%	0.42
85	W.Starkowski	🇵🇱 POLAND	78	71.8%	0.31
86	P.Weichsel	🇺🇸 USA2	67	71.6%	0.30
87	J.Grenie	🇬🇵 GUADELOUPE	49	71.4%	0.35
88	D.Schaltz	🇩🇰 DENMARK	52	71.2%	0.29
89	J.Schermer	🇺🇸 USA2	66	71.2%	0.32
90	A.Leigh	🇭🇰 HONG KONG CHINA	52	71.2%	0.39
91	A.Farstad	🇳🇴 NORWAY	55	70.9%	0.29
92	O.Frydenberg	🇳🇴 NORWAY	65	70.8%	0.37
93	M.Shen	🇨🇳 CHINA	68	70.6%	0.35
94	L.Palazzo	🇦🇷 ARGENTINA	68	70.6%	0.37
95	R.Lin	🇨🇳 CHINA	61	70.5%	0.38
96	A.Stokkeland	🇳🇴 NORWAY	54	70.4%	0.37
97	A.Hoyos	🇨🇴 COLOMBIA	67	70.1%	0.34
98	P.Eliasson	🇸🇪 SWEDEN	50	70.0%	0.34
99	H.Lam	🇭🇰 HONG KONG CHINA	70	70.0%	0.34
100	M.Narunsky	🇿🇦 SOUTH AFRICA	60	70.0%	0.38
101	M.Macri	🇦🇷 ARGENTINA	40	70.0%	0.40
102	S.Das	🇮🇳 INDIA	73	69.9%	0.36
103	J.Rocafort	🇫🇷 FRANCE	56	69.6%	0.36
104	P.Bonnet	🇬🇵 GUADELOUPE	56	69.6%	0.43
105	V.Oddy	🇨🇦 CANADA	59	69.5%	0.41
106	P.Dordhain	🇷🇪 REUNION	81	69.1%	0.40
107	D.Johnson	🇧🇪 BELGIUM	29	69.0%	0.45
108	M.Claret	🇫🇷 FRANCE	61	68.9%	0.43
109	F.Mondor	🇬🇵 GUADELOUPE	67	68.7%	0.39
110	P.Hamel	🇷🇪 REUNION	86	68.6%	0.41
111	G.Lopez	🇬🇵 GUADELOUPE	54	68.5%	0.37
112	D.Yadlin	🇮🇱 ISRAEL	63	68.3%	0.36
113	F.Stretz	🇫🇷 FRANCE	66	68.2%	0.41
114	J.Sylvan	🇸🇪 SWEDEN	72	68.1%	0.35
115	K.Bensouda	🇲🇦 MOROCCO	56	67.9%	0.39
116	S.Chan	🇭🇰 HONG KONG CHINA	49	67.3%	0.37
117	P.Ling	🇭🇰 HONG KONG CHINA	67	67.2%	0.42
118	M.Berrada	🇲🇦 MOROCCO	73	67.1%	0.41
119	J.Krekorian	🇺🇸 USA1	63	66.7%	0.38
120	M.Sun	🇨🇳 CHINA	57	66.7%	0.39
121	H.Jordan	🇨🇴 COLOMBIA	51	66.7%	0.43
122	K.Fung	🇭🇰 HONG KONG CHINA	50	66.0%	0.46
123	R.Nino	🇨🇴 COLOMBIA	73	65.8%	0.44
124	A.Belkouch	🇲🇦 MOROCCO	105	65.7%	0.40
125	J.Breslaw	🇷🇪 REUNION	70	65.7%	0.40
126	A.Goodman	🇺🇸 USA1	37	64.9%	0.51
127	B.Van Der Hoek	🇳🇱 NETHERLANDS	61	63.9%	0.46
128	H.Camberos	🇦🇷 ARGENTINA	55	63.6%	0.46
129	S.Hamid	🇵🇰 PAKISTAN	65	63.1%	0.54
130	G.Polet	🇧🇪 BELGIUM	72	62.5%	0.40
131	R.Krochmalik	🇦🇺 AUSTRALIA	50	62.0%	0.54
132	P.Gilliocq	🇬🇵 GUADELOUPE	66	60.6%	0.52
133	C.Giraud	🇷🇪 REUNION	73	57.5%	0.57
134	S.Fabbricatore	🇬🇵 GUADELOUPE	60	56.7%	0.53
135	A.Rivas	🇨🇴 COLOMBIA	60	56.7%	0.58
136	K.Moszczynski	🇵🇱 POLAND	31	80.6%	0.23
137	A.Comella	🇮🇹 ITALY	31	77.4%	0.23
138	S.Sabbatini	🇮🇹 ITALY	34	73.5%	0.29
139	V.Markowicz	🇵🇱 POLAND	34	73.5%	0.32
140	A.El Ghrari	🇲🇦 MOROCCO	34	70.6%	0.29

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	D.Casen	🇺🇸 USA1	111	94.6%	0.06
2	J.Krekorian	🇺🇸 USA1	111	94.6%	0.06
3	D.Schaltz	🇩🇰 DENMARK	112	93.8%	0.07
4	P.Schaltz	🇩🇰 DENMARK	112	93.8%	0.07
5	F.Bigdeli	🇧🇪 BELGIUM	123	93.5%	0.08
6	P.Coenraets	🇧🇪 BELGIUM	123	93.5%	0.08
7	M.Claret	🇫🇷 FRANCE	123	91.1%	0.10
8	J.Rocafort	🇫🇷 FRANCE	123	91.1%	0.10
9	L.Eide	🇳🇴 NORWAY	112	91.1%	0.11
10	O.Frydenberg	🇳🇴 NORWAY	112	91.1%	0.11
11	M.Kwiecien	🇵🇱 POLAND	163	90.2%	0.11
12	W.Starkowski	🇵🇱 POLAND	163	90.2%	0.11
13	K.Cheng	🇹🇼 CHINESE TAIPEI	183	89.6%	0.14
14	J.Shih	🇹🇼 CHINESE TAIPEI	183	89.6%	0.14
15	A.Buratti	🇮🇹 ITALY	143	89.5%	0.13
16	G.Failla	🇮🇹 ITALY	143	89.5%	0.13
17	V.Koneru	🇺🇸 USA1	138	89.1%	0.11
18	P.Rajadhyaksha	🇺🇸 USA1	138	89.1%	0.11
19	J.Hansen	🇩🇰 DENMARK	126	88.9%	0.12
20	S.Schou	🇩🇰 DENMARK	126	88.9%	0.12
21	M.Gustawsson	🇸🇪 SWEDEN	126	88.9%	0.13
22	J.Sylvan	🇸🇪 SWEDEN	126	88.9%	0.13
23	M.Hussain	🇵🇰 PAKISTAN	170	88.8%	0.14
24	G.Sellden	🇸🇪 SWEDEN	115	88.7%	0.18
25	B.Wenneberg	🇸🇪 SWEDEN	115	88.7%	0.18
26	D.Cohen	🇮🇱 ISRAEL	158	88.6%	0.13
27	J.Engel	🇮🇱 ISRAEL	158	88.6%	0.13
28	J.Carrera	🇨🇴 COLOMBIA	114	88.6%	0.19
29	R.Lin	🇨🇳 CHINA	130	88.5%	0.15
30	J.Tao	🇨🇳 CHINA	130	88.5%	0.15
31	M.Ahmed	🇵🇰 PAKISTAN	189	88.4%	0.15
32	A.Bitran	🇫🇷 FRANCE	107	87.9%	0.15
33	F.Stretz	🇫🇷 FRANCE	107	87.9%	0.15
34	W.Gosschalk	🇳🇱 NETHERLANDS	115	87.8%	0.13
35	W.Van Eijck	🇳🇱 NETHERLANDS	115	87.8%	0.13
36	S.Das	🇮🇳 INDIA	129	87.6%	0.15
37	S.Saha	🇮🇳 INDIA	129	87.6%	0.15
38	P.Chottin	🇫🇷 FRANCE	127	87.4%	0.15
39	H.Fleury	🇫🇷 FRANCE	127	87.4%	0.15
40	A.Goodman	🇺🇸 USA1	110	87.3%	0.13
41	M.Passell	🇺🇸 USA1	110	87.3%	0.13
42	N.Chambers	🇺🇸 USA2	110	87.3%	0.13
43	J.Schermer	🇺🇸 USA2	110	87.3%	0.13
44	A.Mina	🇮🇹 ITALY	164	87.2%	0.13
45	R.Pulga	🇮🇹 ITALY	164	87.2%	0.13
46	L.Hofland	🇳🇱 NETHERLANDS	117	87.2%	0.14
47	B.Van Der Hoek	🇳🇱 NETHERLANDS	117	87.2%	0.14
48	J.Kolen	🇳🇱 NETHERLANDS	148	87.2%	0.14
49	A.Mulder	🇳🇱 NETHERLANDS	148	87.2%	0.14
50	N.Hanna	🇨🇦 CANADA	115	87.0%	0.15
51	J.Rayner	🇨🇦 CANADA	115	87.0%	0.15
52	H.Jordan	🇨🇴 COLOMBIA	77	87.0%	0.23
53	P.Bizon	🇵🇱 POLAND	145	86.9%	0.16
54	M.Blat	🇵🇱 POLAND	145	86.9%	0.16
55	P.Eliasson	🇸🇪 SWEDEN	122	86.9%	0.16
56	G.Elmroth	🇸🇪 SWEDEN	122	86.9%	0.16
57	D.Beauchamp	🇦🇺 AUSTRALIA	128	86.7%	0.16
58	Y.Lubinski	🇮🇱 ISRAEL	81	86.4%	0.15
59	M.Mark	🇮🇱 ISRAEL	81	86.4%	0.15
60	A.Kanetkar	🇦🇺 AUSTRALIA	140	86.4%	0.16
61	H.Camberos	🇦🇷 ARGENTINA	131	86.3%	0.17
62	E.Muzzio	🇦🇷 ARGENTINA	131	86.3%	0.17
63	B.Hamman	🇺🇸 USA2	124	86.3%	0.17
64	P.Weichsel	🇺🇸 USA2	124	86.3%	0.17
65	W.Fornasari	🇦🇷 ARGENTINA	128	85.9%	0.15
66	L.Palazzo	🇦🇷 ARGENTINA	128	85.9%	0.15
67	J.Chung	🇹🇼 CHINESE TAIPEI	184	85.9%	0.20
68	C.Lin	🇹🇼 CHINESE TAIPEI	184	85.9%	0.20
69	M.Shen	🇨🇳 CHINA	131	85.5%	0.19
70	M.Sun	🇨🇳 CHINA	131	85.5%	0.19
71	A.Kaplan	🇧🇪 BELGIUM	136	85.3%	0.18
72	G.Polet	🇧🇪 BELGIUM	136	85.3%	0.18
73	S.Burgess	🇦🇺 AUSTRALIA	142	85.2%	0.18
74	G.Lorentz	🇦🇺 AUSTRALIA	142	85.2%	0.18
75	R.Krochmalik	🇦🇺 AUSTRALIA	85	84.7%	0.18
76	P.Bardhan	🇮🇳 INDIA	124	84.7%	0.18
77	B.Das	🇮🇳 INDIA	124	84.7%	0.18
78	R.Nino	🇨🇴 COLOMBIA	130	84.6%	0.20
79	P.Lavings	🇦🇺 AUSTRALIA	97	84.5%	0.17
80	S.Johnsen	🇳🇴 NORWAY	135	84.4%	0.18
81	A.Stokkeland	🇳🇴 NORWAY	135	84.4%	0.18
82	M.Dunitz	🇺🇸 USA2	135	84.4%	0.18
83	R.Grabel	🇺🇸 USA2	135	84.4%	0.18
84	D.Baxter	🇨🇦 CANADA	128	84.4%	0.20
85	D.Lindop	🇨🇦 CANADA	128	84.4%	0.20
86	Y.Liang	🇨🇳 CHINA	102	84.3%	0.18
87	X.Shen	🇨🇳 CHINA	102	84.3%	0.18
88	K.Adamsen	🇩🇰 DENMARK	129	83.7%	0.19
89	D.Koch-Palmund	🇩🇰 DENMARK	129	83.7%	0.19
90	J.Palmieri	🇷🇪 REUNION	140	83.6%	0.21
91	C.Barrientos	🇨🇴 COLOMBIA	109	83.5%	0.21
92	S.Basak	🇮🇳 INDIA	107	83.2%	0.22
93	H.Jalan	🇮🇳 INDIA	107	83.2%	0.22
94	A.Farstad	🇳🇴 NORWAY	123	82.9%	0.18
95	J.Mikkelsen	🇳🇴 NORWAY	123	82.9%	0.18
96	C.Giraud	🇷🇪 REUNION	152	82.9%	0.20
97	R.Dalton	🇨🇦 CANADA	120	82.5%	0.23
98	V.Oddy	🇨🇦 CANADA	120	82.5%	0.23
99	P.Bonnet	🇬🇵 GUADELOUPE	119	82.4%	0.20
100	J.Grenie	🇬🇵 GUADELOUPE	119	82.4%	0.20
101	M.Dinia	🇲🇦 MOROCCO	129	82.2%	0.25
102	M.Berrada	🇲🇦 MOROCCO	140	82.1%	0.21
103	E.Orenstein	🇮🇱 ISRAEL	134	82.1%	0.21
104	D.Yadlin	🇮🇱 ISRAEL	134	82.1%	0.21
105	A.Belkouch	🇲🇦 MOROCCO	140	82.1%	0.24
106	D.Johnson	🇧🇪 BELGIUM	95	82.1%	0.24
107	J.Stas	🇧🇪 BELGIUM	95	82.1%	0.24
108	P.Dordhain	🇷🇪 REUNION	148	81.8%	0.23
109	L.Chemaly	🇿🇦 SOUTH AFRICA	120	81.7%	0.20
110	J.Grant	🇿🇦 SOUTH AFRICA	120	81.7%	0.20
111	P.Lambardi	🇦🇷 ARGENTINA	130	81.5%	0.21
112	M.Macri	🇦🇷 ARGENTINA	130	81.5%	0.21
113	J.Breslaw	🇷🇪 REUNION	133	81.2%	0.21
114	K.Bensouda	🇲🇦 MOROCCO	122	81.1%	0.22
115	S.Gardezi	🇵🇰 PAKISTAN	132	81.1%	0.26
116	P.Hamel	🇷🇪 REUNION	141	80.9%	0.23
117	A.Rivas	🇨🇴 COLOMBIA	134	80.6%	0.28
118	S.Akhtar	🇵🇰 PAKISTAN	123	80.5%	0.24
119	A.Rerhaye	🇲🇦 MOROCCO	130	80.0%	0.22
120	K.Fung	🇭🇰 HONG KONG CHINA	120	80.0%	0.23
121	H.Lam	🇭🇰 HONG KONG CHINA	120	80.0%	0.23
122	D.Minwalla	🇿🇦 SOUTH AFRICA	132	79.5%	0.27
123	B.Pincus	🇿🇦 SOUTH AFRICA	132	79.5%	0.27
124	S.Fabbricatore	🇬🇵 GUADELOUPE	142	78.9%	0.24
125	G.Lopez	🇬🇵 GUADELOUPE	142	78.9%	0.24
126	A.Hoyos	🇨🇴 COLOMBIA	118	78.8%	0.30
127	S.Hamid	🇵🇰 PAKISTAN	140	78.6%	0.26
128	S.Chan	🇭🇰 HONG KONG CHINA	139	77.7%	0.27
129	R.Ling	🇭🇰 HONG KONG CHINA	139	77.7%	0.27
130	A.Leigh	🇭🇰 HONG KONG CHINA	121	77.7%	0.32
131	P.Ling	🇭🇰 HONG KONG CHINA	121	77.7%	0.32
132	M.Alexander	🇿🇦 SOUTH AFRICA	122	77.0%	0.29
133	M.Narunsky	🇿🇦 SOUTH AFRICA	122	77.0%	0.29
134	P.Gilliocq	🇬🇵 GUADELOUPE	121	76.9%	0.26
135	F.Mondor	🇬🇵 GUADELOUPE	121	76.9%	0.26
136	A.Comella	🇮🇹 ITALY	59	93.2%	0.09
137	S.Sabbatini	🇮🇹 ITALY	59	93.2%	0.09
138	A.El Ghrari	🇲🇦 MOROCCO	63	84.1%	0.16
139	V.Markowicz	🇵🇱 POLAND	63	84.1%	0.19
140	K.Moszczynski	🇵🇱 POLAND	63	84.1%	0.19

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	P.Bizon	🇵🇱 POLAND	272	+0.08	+1.02	+1.10	·
2	M.Blat	🇵🇱 POLAND	272	+0.08	+1.02	+1.10	·
3	V.Koneru	🇺🇸 USA1	288	+0.16	+0.73	+0.89	▲2
4	P.Rajadhyaksha	🇺🇸 USA1	288	+0.16	+0.73	+0.89	▲2
5	A.Mina	🇮🇹 ITALY	320	+0.11	+0.70	+0.80	▲2
6	R.Pulga	🇮🇹 ITALY	320	+0.11	+0.70	+0.80	▲2
7	B.Hamman	🇺🇸 USA2	256	-0.06	+0.74	+0.68	▼4
8	P.Weichsel	🇺🇸 USA2	256	-0.06	+0.74	+0.68	▼4
9	J.Kolen	🇳🇱 NETHERLANDS	272	+0.07	+0.55	+0.61	▲4
10	A.Mulder	🇳🇱 NETHERLANDS	272	+0.07	+0.55	+0.61	▲4
11	N.Chambers	🇺🇸 USA2	240	+0.21	+0.39	+0.59	▲17
12	J.Schermer	🇺🇸 USA2	240	+0.21	+0.39	+0.59	▲17
13	W.Fornasari	🇦🇷 ARGENTINA	256	+0.10	+0.48	+0.58	▲8
14	L.Palazzo	🇦🇷 ARGENTINA	256	+0.10	+0.48	+0.58	▲8
15	J.Hansen	🇩🇰 DENMARK	256	+0.08	+0.49	+0.57	▲4
16	S.Schou	🇩🇰 DENMARK	256	+0.08	+0.49	+0.57	▲4
17	D.Cohen	🇮🇱 ISRAEL	304	-0.02	+0.56	+0.54	▼6
18	J.Engel	🇮🇱 ISRAEL	304	-0.02	+0.56	+0.54	▼6
19	A.Farstad	🇳🇴 NORWAY	240	+0.01	+0.52	+0.54	▼2
20	J.Mikkelsen	🇳🇴 NORWAY	240	+0.01	+0.52	+0.54	▼2
21	M.Kwiecien	🇵🇱 POLAND	336	+0.05	+0.41	+0.46	▲4
22	W.Starkowski	🇵🇱 POLAND	336	+0.05	+0.41	+0.46	▲4
23	N.Hanna	🇨🇦 CANADA	240	+0.07	+0.35	+0.42	▲11
24	J.Rayner	🇨🇦 CANADA	240	+0.07	+0.35	+0.42	▲11
25	A.Kaplan	🇧🇪 BELGIUM	272	+0.09	+0.32	+0.41	▲12
26	G.Polet	🇧🇪 BELGIUM	272	+0.09	+0.32	+0.41	▲12
27	R.Lin	🇨🇳 CHINA	256	-0.04	+0.42	+0.39	▼4
28	J.Tao	🇨🇳 CHINA	256	-0.04	+0.42	+0.39	▼4
29	D.Schaltz	🇩🇰 DENMARK	224	-0.20	+0.58	+0.38	▼20
30	P.Schaltz	🇩🇰 DENMARK	224	-0.20	+0.58	+0.38	▼20
31	D.Baxter	🇨🇦 CANADA	256	+0.20	+0.14	+0.34	▲28
32	D.Lindop	🇨🇦 CANADA	256	+0.20	+0.14	+0.34	▲28
33	M.Gustawsson	🇸🇪 SWEDEN	272	+0.09	+0.24	+0.33	▲16
34	J.Sylvan	🇸🇪 SWEDEN	272	+0.09	+0.24	+0.33	▲16
35	D.Casen	🇺🇸 USA1	240	+0.07	+0.26	+0.32	▲10
36	J.Krekorian	🇺🇸 USA1	240	+0.07	+0.26	+0.32	▲10
37	P.Chottin	🇫🇷 FRANCE	256	+0.10	+0.22	+0.31	▲16
38	H.Fleury	🇫🇷 FRANCE	256	+0.10	+0.22	+0.31	▲16
39	D.Beauchamp	🇦🇺 AUSTRALIA	256	-0.08	+0.39	+0.31	▼12
40	G.Sellden	🇸🇪 SWEDEN	240	-0.06	+0.37	+0.30	▼10
41	B.Wenneberg	🇸🇪 SWEDEN	240	-0.06	+0.37	+0.30	▼10
42	S.Basak	🇮🇳 INDIA	224	+0.03	+0.25	+0.28	▲5
43	H.Jalan	🇮🇳 INDIA	224	+0.03	+0.25	+0.28	▲5
44	A.Kanetkar	🇦🇺 AUSTRALIA	272	-0.07	+0.34	+0.27	▼8
45	F.Bigdeli	🇧🇪 BELGIUM	288	-0.01	+0.26	+0.26	▼6
46	P.Coenraets	🇧🇪 BELGIUM	288	-0.01	+0.26	+0.26	▼6
47	S.Johnsen	🇳🇴 NORWAY	256	+0.02	+0.22	+0.25	▲4
48	A.Stokkeland	🇳🇴 NORWAY	256	+0.02	+0.22	+0.25	▲4
49	L.Hofland	🇳🇱 NETHERLANDS	240	-0.11	+0.35	+0.24	▼17
50	B.Van Der Hoek	🇳🇱 NETHERLANDS	240	-0.11	+0.35	+0.24	▼17
51	S.Burgess	🇦🇺 AUSTRALIA	288	-0.02	+0.26	+0.24	▼8
52	G.Lorentz	🇦🇺 AUSTRALIA	288	-0.02	+0.26	+0.24	▼8
53	A.Goodman	🇺🇸 USA1	208	-0.34	+0.54	+0.21	▼38
54	M.Passell	🇺🇸 USA1	208	-0.34	+0.54	+0.21	▼38
55	P.Bardhan	🇮🇳 INDIA	256	+0.00	+0.16	+0.16	▲2
56	B.Das	🇮🇳 INDIA	256	+0.00	+0.16	+0.16	▲2
57	M.Hussain	🇵🇰 PAKISTAN	320	+0.01	+0.13	+0.14	▲8
58	K.Cheng	🇹🇼 CHINESE TAIPEI	368	-0.08	+0.20	+0.12	▼3
59	J.Shih	🇹🇼 CHINESE TAIPEI	368	-0.08	+0.20	+0.12	▼3
60	W.Gosschalk	🇳🇱 NETHERLANDS	224	-0.03	+0.14	+0.11	▲1
61	W.Van Eijck	🇳🇱 NETHERLANDS	224	-0.03	+0.14	+0.11	▲1
62	M.Claret	🇫🇷 FRANCE	240	-0.15	+0.26	+0.11	▼21
63	J.Rocafort	🇫🇷 FRANCE	240	-0.15	+0.26	+0.11	▼21
64	P.Eliasson	🇸🇪 SWEDEN	224	-0.04	+0.11	+0.07	▲2
65	G.Elmroth	🇸🇪 SWEDEN	224	-0.04	+0.11	+0.07	▲2
66	K.Adamsen	🇩🇰 DENMARK	256	-0.01	+0.08	+0.06	▲4
67	D.Koch-Palmund	🇩🇰 DENMARK	256	-0.01	+0.08	+0.06	▲4
68	J.Chung	🇹🇼 CHINESE TAIPEI	368	+0.09	-0.04	+0.05	▲14
69	C.Lin	🇹🇼 CHINESE TAIPEI	368	+0.09	-0.04	+0.05	▲14
70	L.Eide	🇳🇴 NORWAY	240	-0.05	+0.07	+0.02	▲2
71	O.Frydenberg	🇳🇴 NORWAY	240	-0.05	+0.07	+0.02	▲2
72	M.Ahmed	🇵🇰 PAKISTAN	352	+0.03	-0.02	+0.01	▲7
73	M.Dunitz	🇺🇸 USA2	240	-0.11	+0.10	-0.00	▼5
74	R.Grabel	🇺🇸 USA2	240	-0.11	+0.10	-0.00	▼5
75	H.Camberos	🇦🇷 ARGENTINA	256	+0.04	-0.05	-0.00	▲11
76	E.Muzzio	🇦🇷 ARGENTINA	256	+0.04	-0.05	-0.00	▲11
77	M.Shen	🇨🇳 CHINA	256	+0.07	-0.09	-0.02	▲11
78	M.Sun	🇨🇳 CHINA	256	+0.07	-0.09	-0.02	▲11
79	S.Akhtar	🇵🇰 PAKISTAN	256	-0.04	-0.01	-0.05	▼1
80	Y.Liang	🇨🇳 CHINA	224	-0.08	+0.03	-0.05	▼6
81	X.Shen	🇨🇳 CHINA	224	-0.08	+0.03	-0.05	▼6
82	S.Chan	🇭🇰 HONG KONG CHINA	256	-0.03	-0.04	-0.07	▼2
83	R.Ling	🇭🇰 HONG KONG CHINA	256	-0.03	-0.04	-0.07	▼2
84	L.Chemaly	🇿🇦 SOUTH AFRICA	240	+0.10	-0.18	-0.08	▲10
85	J.Grant	🇿🇦 SOUTH AFRICA	240	+0.10	-0.18	-0.08	▲10
86	A.Bitran	🇫🇷 FRANCE	240	+0.05	-0.14	-0.08	▲6
87	F.Stretz	🇫🇷 FRANCE	240	+0.05	-0.14	-0.08	▲6
88	S.Das	🇮🇳 INDIA	256	+0.07	-0.20	-0.13	▲10
89	S.Saha	🇮🇳 INDIA	256	+0.07	-0.20	-0.13	▲10
90	E.Orenstein	🇮🇱 ISRAEL	256	-0.05	-0.09	-0.14	·
91	D.Yadlin	🇮🇱 ISRAEL	256	-0.05	-0.09	-0.14	·
92	A.Buratti	🇮🇹 ITALY	288	-0.10	-0.05	-0.14	▼8
93	G.Failla	🇮🇹 ITALY	288	-0.10	-0.05	-0.14	▼8
94	D.Johnson	🇧🇪 BELGIUM	176	-0.19	+0.02	-0.17	▼18
95	J.Stas	🇧🇪 BELGIUM	176	-0.19	+0.02	-0.17	▼18
96	P.Lambardi	🇦🇷 ARGENTINA	224	-0.32	+0.13	-0.19	▼33
97	M.Macri	🇦🇷 ARGENTINA	224	-0.32	+0.13	-0.19	▼33
98	M.Dinia	🇲🇦 MOROCCO	272	+0.03	-0.26	-0.24	▲2
99	R.Dalton	🇨🇦 CANADA	240	-0.08	-0.20	-0.28	▼3
100	V.Oddy	🇨🇦 CANADA	240	-0.08	-0.20	-0.28	▼3
101	A.Belkouch	🇲🇦 MOROCCO	304	+0.06	-0.35	-0.29	▲2
102	J.Palmieri	🇷🇪 REUNION	288	+0.02	-0.32	-0.31	·
103	S.Gardezi	🇵🇰 PAKISTAN	272	+0.06	-0.42	-0.36	▲1
104	P.Dordhain	🇷🇪 REUNION	304	-0.07	-0.31	-0.38	▼3
105	P.Lavings	🇦🇺 AUSTRALIA	192	+0.07	-0.47	-0.40	·
106	R.Krochmalik	🇦🇺 AUSTRALIA	176	+0.06	-0.47	-0.41	·
107	P.Bonnet	🇬🇵 GUADELOUPE	224	+0.08	-0.50	-0.42	▲4
108	J.Grenie	🇬🇵 GUADELOUPE	224	+0.08	-0.50	-0.42	▲4
109	Y.Lubinski	🇮🇱 ISRAEL	176	+0.10	-0.52	-0.42	▲4
110	M.Mark	🇮🇱 ISRAEL	176	+0.10	-0.52	-0.42	▲4
111	D.Minwalla	🇿🇦 SOUTH AFRICA	256	-0.07	-0.48	-0.55	▼4
112	B.Pincus	🇿🇦 SOUTH AFRICA	256	-0.07	-0.48	-0.55	▼4
113	P.Hamel	🇷🇪 REUNION	304	-0.03	-0.54	-0.58	▲2
114	S.Hamid	🇵🇰 PAKISTAN	272	+0.01	-0.59	-0.58	▲2
115	K.Fung	🇭🇰 HONG KONG CHINA	240	-0.11	-0.48	-0.60	▼6
116	H.Lam	🇭🇰 HONG KONG CHINA	240	-0.11	-0.48	-0.60	▼6
117	S.Fabbricatore	🇬🇵 GUADELOUPE	256	+0.02	-0.64	-0.62	·
118	G.Lopez	🇬🇵 GUADELOUPE	256	+0.02	-0.64	-0.62	·
119	A.Rivas	🇨🇴 COLOMBIA	272	+0.02	-0.78	-0.76	▲1
120	M.Berrada	🇲🇦 MOROCCO	272	-0.07	-0.71	-0.78	▼1
121	J.Breslaw	🇷🇪 REUNION	272	-0.03	-0.78	-0.81	·
122	J.Carrera	🇨🇴 COLOMBIA	272	-0.03	-0.78	-0.81	·
123	R.Nino	🇨🇴 COLOMBIA	272	+0.08	-0.95	-0.86	▲4
124	A.Hoyos	🇨🇴 COLOMBIA	240	+0.15	-1.02	-0.87	▲5
125	A.Leigh	🇭🇰 HONG KONG CHINA	240	+0.05	-0.93	-0.88	·
126	P.Ling	🇭🇰 HONG KONG CHINA	240	+0.05	-0.93	-0.88	·
127	C.Giraud	🇷🇪 REUNION	304	-0.02	-0.87	-0.89	▼4
128	K.Bensouda	🇲🇦 MOROCCO	240	-0.04	-0.89	-0.93	▼4
129	C.Barrientos	🇨🇴 COLOMBIA	224	+0.06	-1.01	-0.95	▼1
130	A.Rerhaye	🇲🇦 MOROCCO	256	+0.07	-1.07	-0.99	·
131	M.Alexander	🇿🇦 SOUTH AFRICA	240	+0.09	-1.12	-1.02	·
132	M.Narunsky	🇿🇦 SOUTH AFRICA	240	+0.09	-1.12	-1.02	·
133	H.Jordan	🇨🇴 COLOMBIA	192	+0.08	-1.12	-1.05	·
134	P.Gilliocq	🇬🇵 GUADELOUPE	256	+0.02	-1.15	-1.13	·
135	F.Mondor	🇬🇵 GUADELOUPE	256	+0.02	-1.15	-1.13	·

Stages

Statistics