Taicang 2012 — 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	A.Helmich	🇳🇱 NETHERLANDS	208	+2.03	+422.0
2	G.Hop	🇳🇱 NETHERLANDS	208	+2.03	+422.0
3	K.Dwyer Rimstedt	🇺🇸 USA1	256	+1.37	+351.0
4	O.Lien	🇺🇸 USA1	256	+1.37	+351.0
5	G.Gerstner	🇮🇱 ISRAEL	224	+1.37	+306.0
6	T.Coudert	🇫🇷 FRANCE	192	+1.21	+232.0
7	C.Lorenzini	🇫🇷 FRANCE	192	+1.21	+232.0
8	L.Fisher	🇮🇱 ISRAEL	240	+1.20	+289.0
9	N.Edgtton	🇦🇺 AUSTRALIA	224	+1.07	+240.0
10	A.Hung	🇦🇺 AUSTRALIA	224	+1.07	+240.0
11	Y.Chen	🇨🇳 CHINA	272	+1.04	+282.0
12	Y.Jiang	🇨🇳 CHINA	272	+1.04	+282.0
13	B.Van Den Bos	🇳🇱 NETHERLANDS	208	+0.96	+199.0
14	J.Van Lankveld	🇳🇱 NETHERLANDS	208	+0.96	+199.0
15	F.Ferro	🇦🇷 ARGENTINA	272	+0.85	+231.0
16	F.Montes De Oca	🇦🇷 ARGENTINA	272	+0.85	+231.0
17	F.Oh	🇸🇬 SINGAPORE	224	+0.70	+157.0
18	Y.Tham	🇸🇬 SINGAPORE	224	+0.70	+157.0
19	J.Hu	🇨🇳 CHINA	256	+0.70	+178.0
20	Y.Shao	🇨🇳 CHINA	256	+0.70	+178.0
21	P.Hollands	🇦🇺 AUSTRALIA	176	+0.68	+120.0
22	J.Mill	🇦🇺 AUSTRALIA	176	+0.68	+120.0
23	D.Bilde	🇩🇰 DENMARK	288	+0.64	+183.0
24	E.Jepsen	🇩🇰 DENMARK	288	+0.64	+183.0
25	K.Hashimoto	🇯🇵 JAPAN	192	+0.59	+113.0
26	M.Di Franco	🇮🇹 ITALY	304	+0.50	+151.0
27	G.Zanasi	🇮🇹 ITALY	304	+0.50	+151.0
28	A.Kilani	🇫🇷 FRANCE	208	+0.47	+98.0
29	A.Lebatteux	🇫🇷 FRANCE	208	+0.47	+98.0
30	M.Meyouhas	🇮🇱 ISRAEL	240	+0.46	+110.0
31	L.Jin	🇺🇸 USA2	176	+0.44	+78.0
32	E.Zhou	🇺🇸 USA2	176	+0.44	+78.0
33	D.Sugimoto	🇯🇵 JAPAN	208	+0.43	+89.0
34	D.Padon	🇮🇱 ISRAEL	256	+0.36	+93.0
35	A.Gandoglia	🇮🇹 ITALY	224	+0.36	+80.0
36	G.Ho	🇭🇰 CHINA HONG KONG	208	+0.30	+63.0
37	R.Tam	🇭🇰 CHINA HONG KONG	208	+0.30	+63.0
38	G.Delle Cave	🇮🇹 ITALY	304	+0.27	+83.0
39	M.Agica	🇺🇸 USA1	192	+0.21	+40.0
40	M.Towner	🇺🇸 USA1	192	+0.21	+40.0
41	E.Lim	🇸🇬 SINGAPORE	160	+0.21	+33.0
42	J.Ong	🇸🇬 SINGAPORE	160	+0.21	+33.0
43	S.Skorchev	🇧🇬 BULGARIA	288	+0.20	+58.0
44	D.Spasov	🇧🇬 BULGARIA	288	+0.20	+58.0
45	P.Franceschetti	🇫🇷 FRANCE	208	+0.09	+19.0
46	N.Lhuissier	🇫🇷 FRANCE	208	+0.09	+19.0
47	E.Erez	🇮🇱 ISRAEL	128	+0.03	+4.0
48	L.Rosenthal	🇮🇱 ISRAEL	128	+0.03	+4.0
49	O.Bashir	🇵🇰 PAKISTAN	304	-0.00	-1.0
50	A.Tebha	🇵🇰 PAKISTAN	304	-0.00	-1.0
51	W.Tan	🇸🇬 SINGAPORE	224	-0.00	-1.0
52	Y.You	🇸🇬 SINGAPORE	224	-0.00	-1.0
53	C.Chalcraft	🇨🇦 CANADA	160	-0.01	-2.0
54	M.Nashaat	🇪🇬 EGYPT	192	-0.06	-11.0
55	S.Huang	🇨🇦 CANADA	288	-0.06	-17.0
56	T.Walsh	🇨🇦 CANADA	288	-0.06	-17.0
57	A.Edgtton	🇦🇺 AUSTRALIA	208	-0.08	-17.0
58	L.Milne	🇦🇺 AUSTRALIA	208	-0.08	-17.0
59	K.Morcos	🇪🇬 EGYPT	224	-0.08	-19.0
60	L.Lee	🇭🇰 CHINA HONG KONG	192	-0.12	-24.0
61	L.Yip	🇭🇰 CHINA HONG KONG	192	-0.12	-24.0
62	E.Wackwitz	🇳🇱 NETHERLANDS	192	-0.15	-29.0
63	C.Westerbeek	🇳🇱 NETHERLANDS	192	-0.15	-29.0
64	Z.Wang	🇺🇸 USA2	224	-0.15	-34.0
65	Z.Wang	🇺🇸 USA2	224	-0.15	-34.0
66	Z.Siderov	🇧🇬 BULGARIA	208	-0.23	-48.0
67	N.Vasilev	🇧🇬 BULGARIA	208	-0.23	-48.0
68	B.Lui	🇭🇰 CHINA HONG KONG	208	-0.26	-55.0
69	P.Tsang	🇭🇰 CHINA HONG KONG	208	-0.26	-55.0
70	J.Mullick	🇮🇳 INDIA	240	-0.27	-64.0
71	P.Satya	🇮🇳 INDIA	240	-0.27	-64.0
72	N.Ege	🇩🇰 DENMARK	192	-0.27	-52.0
73	L.Tofte	🇩🇰 DENMARK	192	-0.27	-52.0
74	G.Zind	🇨🇦 CANADA	176	-0.38	-67.0
75	M.Hussain	🇵🇰 PAKISTAN	304	-0.39	-120.0
76	Z.Khan	🇵🇰 PAKISTAN	304	-0.39	-120.0
77	M.Dam Mortensen	🇩🇰 DENMARK	128	-0.43	-55.0
78	M.Rohrberg	🇩🇰 DENMARK	128	-0.43	-55.0
79	F.Vasallo	🇧🇷 BRAZIL	240	-0.43	-104.0
80	S.Drodge	🇺🇸 USA2	208	-0.44	-92.0
81	S.Gannon	🇺🇸 USA2	208	-0.44	-92.0
82	J.Tsang	🇨🇦 CANADA	144	-0.45	-65.0
83	P.Da Rosa	🇧🇷 BRAZIL	240	-0.57	-136.0
84	S.Kabra	🇮🇳 INDIA	192	-0.60	-115.0
85	R.Ravichandran	🇮🇳 INDIA	192	-0.60	-115.0
86	T.Battaggia	🇧🇷 BRAZIL	240	-0.63	-151.0
87	A.Bhattacharya	🇮🇳 INDIA	176	-0.71	-125.0
88	S.Mitra	🇮🇳 INDIA	176	-0.71	-125.0
89	R.Dias	🇧🇷 BRAZIL	256	-0.73	-187.0
90	S.Aita	🇯🇵 JAPAN	192	-0.80	-153.0
91	A.Iaboni	🇨🇦 CANADA	160	-0.81	-130.0
92	R.Lee	🇺🇸 USA1	160	-0.82	-131.0
93	R.Rajkumar	🇺🇸 USA1	160	-0.82	-131.0
94	M.Crusizio	🇦🇷 ARGENTINA	256	-0.83	-213.0
95	R.Garcia Da Rosa	🇦🇷 ARGENTINA	256	-0.83	-213.0
96	T.Matsuda	🇯🇵 JAPAN	208	-0.85	-177.0
97	W.Brown	COSTA RICA	304	-0.93	-283.0
98	K.Howard	COSTA RICA	304	-0.93	-283.0
99	A.Darwish	🇪🇬 EGYPT	256	-1.14	-293.0
100	K.Ito	🇯🇵 JAPAN	208	-1.17	-244.0
101	T.Seshimo	🇯🇵 JAPAN	208	-1.17	-244.0
102	M.Moustafa Shedid	🇪🇬 EGYPT	272	-1.33	-362.0
103	W.Mamdouh	🇪🇬 EGYPT	176	-1.56	-275.0
104	S.Tommasini	🇧🇷 BRAZIL	240	-1.62	-388.0
105	L.Arguedas	COSTA RICA	304	-1.71	-521.0
106	C.Castillo	COSTA RICA	304	-1.71	-521.0
107	P.Ivanov	🇧🇬 BULGARIA	112	+0.14	+16.0
108	I.Syusyukin	🇧🇬 BULGARIA	112	+0.14	+16.0
109	F.De Leo	🇮🇹 ITALY	80	+0.04	+3.0
110	L.Licciardo	🇦🇷 ARGENTINA	80	-0.29	-23.0
111	T.Licciardo	🇦🇷 ARGENTINA	80	-0.29	-23.0
112	K.Lu	🇨🇳 CHINA	80	-0.97	-78.0
113	J.Shen	🇨🇳 CHINA	80	-0.97	-78.0
114	K.Fady	🇪🇬 EGYPT	96	-2.83	-272.0

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	M.Agica	🇺🇸 USA1	33	93.9%	0.06
2	G.Gerstner	🇮🇱 ISRAEL	48	89.6%	0.10
3	T.Matsuda	🇯🇵 JAPAN	53	88.7%	0.11
4	Z.Siderov	🇧🇬 BULGARIA	51	88.2%	0.16
5	Y.Jiang	🇨🇳 CHINA	67	88.1%	0.16
6	O.Lien	🇺🇸 USA1	58	87.9%	0.12
7	P.Tsang	🇭🇰 CHINA HONG KONG	47	87.2%	0.13
8	J.Van Lankveld	🇳🇱 NETHERLANDS	47	87.2%	0.15
9	L.Tofte	🇩🇰 DENMARK	36	86.1%	0.19
10	C.Westerbeek	🇳🇱 NETHERLANDS	43	86.0%	0.16
11	B.Van Den Bos	🇳🇱 NETHERLANDS	49	85.7%	0.14
12	A.Iaboni	🇨🇦 CANADA	35	85.7%	0.20
13	N.Vasilev	🇧🇬 BULGARIA	46	84.8%	0.15
14	M.Rohrberg	🇩🇰 DENMARK	26	84.6%	0.15
15	Z.Wang	🇺🇸 USA2	52	84.6%	0.19
16	N.Edgtton	🇦🇺 AUSTRALIA	64	84.4%	0.17
17	A.Helmich	🇳🇱 NETHERLANDS	51	84.3%	0.20
18	E.Zhou	🇺🇸 USA2	38	84.2%	0.16
19	P.Franceschetti	🇫🇷 FRANCE	57	84.2%	0.17
20	R.Rajkumar	🇺🇸 USA1	44	84.1%	0.18
21	S.Kabra	🇮🇳 INDIA	55	83.6%	0.16
22	E.Jepsen	🇩🇰 DENMARK	60	83.3%	0.20
23	Z.Khan	🇵🇰 PAKISTAN	77	83.1%	0.18
24	C.Chalcraft	🇨🇦 CANADA	47	83.0%	0.21
25	L.Rosenthal	🇮🇱 ISRAEL	41	82.9%	0.17
26	E.Lim	🇸🇬 SINGAPORE	40	82.5%	0.17
27	D.Padon	🇮🇱 ISRAEL	68	82.4%	0.21
28	L.Lee	🇭🇰 CHINA HONG KONG	39	82.1%	0.20
29	A.Bhattacharya	🇮🇳 INDIA	50	82.0%	0.18
30	W.Tan	🇸🇬 SINGAPORE	55	81.8%	0.22
31	A.Lebatteux	🇫🇷 FRANCE	33	81.8%	0.24
32	C.Lorenzini	🇫🇷 FRANCE	38	81.6%	0.21
33	D.Sugimoto	🇯🇵 JAPAN	53	81.1%	0.36
34	K.Dwyer Rimstedt	🇺🇸 USA1	68	80.9%	0.23
35	M.Di Franco	🇮🇹 ITALY	73	80.8%	0.26
36	M.Nashaat	🇪🇬 EGYPT	57	80.7%	0.30
37	J.Ong	🇸🇬 SINGAPORE	46	80.4%	0.20
38	J.Mullick	🇮🇳 INDIA	46	80.4%	0.22
39	B.Lui	🇭🇰 CHINA HONG KONG	46	80.4%	0.30
40	F.Montes De Oca	🇦🇷 ARGENTINA	70	80.0%	0.24
41	O.Bashir	🇵🇰 PAKISTAN	84	79.8%	0.25
42	A.Darwish	🇪🇬 EGYPT	59	79.7%	0.24
43	W.Brown	COSTA RICA	77	79.2%	0.21
44	T.Battaggia	🇧🇷 BRAZIL	48	79.2%	0.25
45	G.Zind	🇨🇦 CANADA	42	78.6%	0.24
46	N.Lhuissier	🇫🇷 FRANCE	56	78.6%	0.25
47	T.Walsh	🇨🇦 CANADA	74	78.4%	0.24
48	J.Mill	🇦🇺 AUSTRALIA	51	78.4%	0.28
49	F.Vasallo	🇧🇷 BRAZIL	69	78.3%	0.26
50	M.Crusizio	🇦🇷 ARGENTINA	58	77.6%	0.24
51	M.Hussain	🇵🇰 PAKISTAN	80	77.5%	0.30
52	D.Bilde	🇩🇰 DENMARK	75	77.3%	0.27
53	G.Delle Cave	🇮🇹 ITALY	83	77.1%	0.28
54	F.Oh	🇸🇬 SINGAPORE	61	77.0%	0.28
55	D.Spasov	🇧🇬 BULGARIA	61	77.0%	0.28
56	G.Hop	🇳🇱 NETHERLANDS	52	76.9%	0.25
57	N.Ege	🇩🇰 DENMARK	39	76.9%	0.26
58	A.Tebha	🇵🇰 PAKISTAN	65	76.9%	0.28
59	L.Jin	🇺🇸 USA2	56	76.8%	0.27
60	M.Dam Mortensen	🇩🇰 DENMARK	34	76.5%	0.29
61	R.Ravichandran	🇮🇳 INDIA	55	76.4%	0.27
62	Y.Tham	🇸🇬 SINGAPORE	72	76.4%	0.31
63	P.Satya	🇮🇳 INDIA	59	76.3%	0.27
64	S.Huang	🇨🇦 CANADA	63	76.2%	0.30
65	A.Edgtton	🇦🇺 AUSTRALIA	46	76.1%	0.26
66	R.Lee	🇺🇸 USA1	29	75.9%	0.24
67	M.Towner	🇺🇸 USA1	58	75.9%	0.28
68	S.Drodge	🇺🇸 USA2	54	75.9%	0.30
69	R.Dias	🇧🇷 BRAZIL	83	74.7%	0.30
70	Y.Chen	🇨🇳 CHINA	67	74.6%	0.28
71	C.Castillo	COSTA RICA	67	74.6%	0.33
72	K.Hashimoto	🇯🇵 JAPAN	55	74.5%	0.27
73	S.Tommasini	🇧🇷 BRAZIL	55	74.5%	0.34
74	A.Hung	🇦🇺 AUSTRALIA	62	74.2%	0.34
75	S.Gannon	🇺🇸 USA2	54	74.1%	0.32
76	R.Tam	🇭🇰 CHINA HONG KONG	54	74.1%	0.33
77	P.Da Rosa	🇧🇷 BRAZIL	54	74.1%	0.41
78	G.Ho	🇭🇰 CHINA HONG KONG	61	73.8%	0.29
79	L.Milne	🇦🇺 AUSTRALIA	38	73.7%	0.29
80	G.Zanasi	🇮🇹 ITALY	57	73.7%	0.32
81	F.Ferro	🇦🇷 ARGENTINA	53	73.6%	0.28
82	Z.Wang	🇺🇸 USA2	53	73.6%	0.34
83	K.Morcos	🇪🇬 EGYPT	64	73.4%	0.38
84	Y.Shao	🇨🇳 CHINA	60	73.3%	0.30
85	M.Meyouhas	🇮🇱 ISRAEL	56	73.2%	0.32
86	S.Skorchev	🇧🇬 BULGARIA	73	72.6%	0.36
87	E.Wackwitz	🇳🇱 NETHERLANDS	40	72.5%	0.35
88	T.Seshimo	🇯🇵 JAPAN	50	72.0%	0.32
89	A.Gandoglia	🇮🇹 ITALY	53	71.7%	0.28
90	K.Ito	🇯🇵 JAPAN	60	71.7%	0.28
91	L.Arguedas	COSTA RICA	88	71.6%	0.36
92	S.Mitra	🇮🇳 INDIA	52	71.2%	0.33
93	K.Howard	COSTA RICA	79	70.9%	0.32
94	T.Coudert	🇫🇷 FRANCE	48	70.8%	0.33
95	L.Yip	🇭🇰 CHINA HONG KONG	44	70.5%	0.29
96	J.Hu	🇨🇳 CHINA	61	70.5%	0.31
97	E.Erez	🇮🇱 ISRAEL	30	70.0%	0.30
98	L.Fisher	🇮🇱 ISRAEL	60	70.0%	0.42
99	W.Mamdouh	🇪🇬 EGYPT	33	69.7%	0.30
100	R.Garcia Da Rosa	🇦🇷 ARGENTINA	44	68.2%	0.34
101	P.Hollands	🇦🇺 AUSTRALIA	31	67.7%	0.35
102	S.Aita	🇯🇵 JAPAN	45	66.7%	0.49
103	Y.You	🇸🇬 SINGAPORE	55	65.5%	0.34
104	M.Moustafa Shedid	🇪🇬 EGYPT	72	65.3%	0.38
105	J.Tsang	🇨🇦 CANADA	37	64.9%	0.38
106	A.Kilani	🇫🇷 FRANCE	50	64.0%	0.48
107	I.Syusyukin	🇧🇬 BULGARIA	40	92.5%	0.12
108	T.Licciardo	🇦🇷 ARGENTINA	20	90.0%	0.10
109	F.De Leo	🇮🇹 ITALY	17	76.5%	0.23
110	J.Shen	🇨🇳 CHINA	17	76.5%	0.35
111	L.Licciardo	🇦🇷 ARGENTINA	23	69.6%	0.43
112	K.Lu	🇨🇳 CHINA	19	68.4%	0.32
113	P.Ivanov	🇧🇬 BULGARIA	17	64.7%	0.35
114	K.Fady	🇪🇬 EGYPT	39	61.5%	0.51

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	Y.Shao	🇨🇳 CHINA	59	91.5%	0.12
2	T.Coudert	🇫🇷 FRANCE	53	88.7%	0.17
3	Y.Jiang	🇨🇳 CHINA	67	88.1%	0.13
4	G.Hop	🇳🇱 NETHERLANDS	50	86.0%	0.16
5	W.Tan	🇸🇬 SINGAPORE	60	85.0%	0.17
6	D.Padon	🇮🇱 ISRAEL	63	84.1%	0.19
7	D.Bilde	🇩🇰 DENMARK	81	84.0%	0.17
8	M.Rohrberg	🇩🇰 DENMARK	37	83.8%	0.24
9	T.Seshimo	🇯🇵 JAPAN	57	82.5%	0.21
10	O.Bashir	🇵🇰 PAKISTAN	68	82.4%	0.28
11	L.Lee	🇭🇰 CHINA HONG KONG	45	82.2%	0.20
12	L.Fisher	🇮🇱 ISRAEL	61	82.0%	0.25
13	J.Mill	🇦🇺 AUSTRALIA	44	81.8%	0.18
14	Z.Wang	🇺🇸 USA2	68	80.9%	0.23
15	G.Gerstner	🇮🇱 ISRAEL	47	80.9%	0.26
16	S.Skorchev	🇧🇬 BULGARIA	70	80.0%	0.24
17	L.Jin	🇺🇸 USA2	35	80.0%	0.29
18	N.Lhuissier	🇫🇷 FRANCE	45	80.0%	0.29
19	M.Towner	🇺🇸 USA1	53	79.2%	0.24
20	A.Kilani	🇫🇷 FRANCE	53	79.2%	0.36
21	Y.Chen	🇨🇳 CHINA	67	79.1%	0.25
22	M.Meyouhas	🇮🇱 ISRAEL	52	78.8%	0.23
23	M.Agica	🇺🇸 USA1	47	78.7%	0.23
24	A.Gandoglia	🇮🇹 ITALY	47	78.7%	0.26
25	N.Ege	🇩🇰 DENMARK	47	78.7%	0.26
26	O.Lien	🇺🇸 USA1	61	78.7%	0.29
27	G.Zanasi	🇮🇹 ITALY	84	78.6%	0.26
28	W.Brown	COSTA RICA	79	78.5%	0.32
29	N.Edgtton	🇦🇺 AUSTRALIA	50	78.0%	0.28
30	J.Hu	🇨🇳 CHINA	68	77.9%	0.32
31	N.Vasilev	🇧🇬 BULGARIA	58	77.6%	0.29
32	M.Nashaat	🇪🇬 EGYPT	40	77.5%	0.40
33	M.Dam Mortensen	🇩🇰 DENMARK	31	77.4%	0.23
34	G.Delle Cave	🇮🇹 ITALY	83	77.1%	0.27
35	M.Di Franco	🇮🇹 ITALY	74	77.0%	0.26
36	F.Ferro	🇦🇷 ARGENTINA	69	76.8%	0.32
37	A.Hung	🇦🇺 AUSTRALIA	43	76.7%	0.28
38	M.Crusizio	🇦🇷 ARGENTINA	81	76.5%	0.30
39	G.Ho	🇭🇰 CHINA HONG KONG	51	76.5%	0.33
40	E.Wackwitz	🇳🇱 NETHERLANDS	50	76.0%	0.32
41	C.Westerbeek	🇳🇱 NETHERLANDS	53	75.5%	0.36
42	L.Milne	🇦🇺 AUSTRALIA	60	75.0%	0.28
43	E.Jepsen	🇩🇰 DENMARK	68	75.0%	0.31
44	D.Spasov	🇧🇬 BULGARIA	80	75.0%	0.31
45	J.Ong	🇸🇬 SINGAPORE	32	75.0%	0.31
46	A.Lebatteux	🇫🇷 FRANCE	56	75.0%	0.34
47	B.Van Den Bos	🇳🇱 NETHERLANDS	56	75.0%	0.39
48	M.Hussain	🇵🇰 PAKISTAN	75	74.7%	0.31
49	F.Montes De Oca	🇦🇷 ARGENTINA	71	74.6%	0.30
50	P.Satya	🇮🇳 INDIA	66	74.2%	0.32
51	A.Edgtton	🇦🇺 AUSTRALIA	54	74.1%	0.37
52	A.Bhattacharya	🇮🇳 INDIA	38	73.7%	0.34
53	A.Helmich	🇳🇱 NETHERLANDS	49	73.5%	0.29
54	K.Morcos	🇪🇬 EGYPT	49	73.5%	0.49
55	L.Yip	🇭🇰 CHINA HONG KONG	64	73.4%	0.34
56	B.Lui	🇭🇰 CHINA HONG KONG	64	73.4%	0.38
57	F.Oh	🇸🇬 SINGAPORE	41	73.2%	0.41
58	K.Dwyer Rimstedt	🇺🇸 USA1	56	73.2%	0.43
59	Z.Siderov	🇧🇬 BULGARIA	52	73.1%	0.33
60	T.Walsh	🇨🇦 CANADA	70	72.9%	0.34
61	W.Mamdouh	🇪🇬 EGYPT	48	72.9%	0.35
62	D.Sugimoto	🇯🇵 JAPAN	44	72.7%	0.29
63	S.Aita	🇯🇵 JAPAN	47	72.3%	0.34
64	Y.You	🇸🇬 SINGAPORE	54	72.2%	0.28
65	P.Hollands	🇦🇺 AUSTRALIA	43	72.1%	0.37
66	Y.Tham	🇸🇬 SINGAPORE	50	72.0%	0.34
67	A.Iaboni	🇨🇦 CANADA	39	71.8%	0.33
68	E.Zhou	🇺🇸 USA2	46	71.7%	0.33
69	J.Van Lankveld	🇳🇱 NETHERLANDS	42	71.4%	0.36
70	R.Lee	🇺🇸 USA1	35	71.4%	0.40
71	L.Rosenthal	🇮🇱 ISRAEL	31	71.0%	0.39
72	K.Hashimoto	🇯🇵 JAPAN	48	70.8%	0.42
73	J.Mullick	🇮🇳 INDIA	68	70.6%	0.34
74	P.Tsang	🇭🇰 CHINA HONG KONG	50	70.0%	0.30
75	R.Dias	🇧🇷 BRAZIL	53	69.8%	0.38
76	L.Tofte	🇩🇰 DENMARK	62	69.4%	0.42
77	T.Matsuda	🇯🇵 JAPAN	52	69.2%	0.44
78	Z.Khan	🇵🇰 PAKISTAN	71	69.0%	0.39
79	R.Rajkumar	🇺🇸 USA1	38	68.4%	0.50
80	C.Lorenzini	🇫🇷 FRANCE	47	68.1%	0.43
81	E.Erez	🇮🇱 ISRAEL	25	68.0%	0.36
82	S.Huang	🇨🇦 CANADA	80	67.5%	0.44
83	P.Franceschetti	🇫🇷 FRANCE	40	67.5%	0.45
84	R.Ravichandran	🇮🇳 INDIA	43	67.4%	0.47
85	M.Moustafa Shedid	🇪🇬 EGYPT	73	67.1%	0.45
86	T.Battaggia	🇧🇷 BRAZIL	66	66.7%	0.39
87	S.Drodge	🇺🇸 USA2	51	66.7%	0.41
88	R.Tam	🇭🇰 CHINA HONG KONG	41	65.9%	0.41
89	E.Lim	🇸🇬 SINGAPORE	41	65.9%	0.44
90	F.Vasallo	🇧🇷 BRAZIL	58	65.5%	0.52
91	G.Zind	🇨🇦 CANADA	46	65.2%	0.54
92	J.Tsang	🇨🇦 CANADA	37	64.9%	0.43
93	C.Chalcraft	🇨🇦 CANADA	37	64.9%	0.43
94	A.Tebha	🇵🇰 PAKISTAN	87	64.4%	0.46
95	A.Darwish	🇪🇬 EGYPT	57	63.2%	0.44
96	R.Garcia Da Rosa	🇦🇷 ARGENTINA	73	63.0%	0.53
97	Z.Wang	🇺🇸 USA2	51	62.7%	0.49
98	L.Arguedas	COSTA RICA	77	62.3%	0.57
99	S.Gannon	🇺🇸 USA2	49	61.2%	0.47
100	C.Castillo	COSTA RICA	72	61.1%	0.47
101	S.Mitra	🇮🇳 INDIA	36	61.1%	0.56
102	S.Kabra	🇮🇳 INDIA	38	60.5%	0.47
103	P.Da Rosa	🇧🇷 BRAZIL	53	58.5%	0.55
104	K.Ito	🇯🇵 JAPAN	40	52.5%	0.62
105	S.Tommasini	🇧🇷 BRAZIL	54	51.9%	0.59
106	K.Howard	COSTA RICA	66	47.0%	0.82
107	K.Lu	🇨🇳 CHINA	17	82.4%	0.23
108	T.Licciardo	🇦🇷 ARGENTINA	20	80.0%	0.25
109	J.Shen	🇨🇳 CHINA	20	70.0%	0.45
110	I.Syusyukin	🇧🇬 BULGARIA	35	65.7%	0.40
111	P.Ivanov	🇧🇬 BULGARIA	19	63.2%	0.58
112	K.Fady	🇪🇬 EGYPT	16	62.5%	0.75
113	L.Licciardo	🇦🇷 ARGENTINA	11	54.5%	0.64
114	F.De Leo	🇮🇹 ITALY	8	12.5%	1.12

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	M.Meyouhas	🇮🇱 ISRAEL	118	93.2%	0.07
2	R.Lee	🇺🇸 USA1	73	93.2%	0.07
3	R.Rajkumar	🇺🇸 USA1	73	93.2%	0.07
4	S.Skorchev	🇧🇬 BULGARIA	134	92.5%	0.11
5	D.Spasov	🇧🇬 BULGARIA	134	92.5%	0.11
6	D.Padon	🇮🇱 ISRAEL	127	92.1%	0.08
7	D.Bilde	🇩🇰 DENMARK	135	91.9%	0.10
8	E.Jepsen	🇩🇰 DENMARK	135	91.9%	0.10
9	B.Van Den Bos	🇳🇱 NETHERLANDS	96	91.7%	0.12
10	J.Van Lankveld	🇳🇱 NETHERLANDS	96	91.7%	0.12
11	A.Kilani	🇫🇷 FRANCE	83	91.6%	0.14
12	A.Lebatteux	🇫🇷 FRANCE	83	91.6%	0.14
13	T.Coudert	🇫🇷 FRANCE	86	90.7%	0.12
14	C.Lorenzini	🇫🇷 FRANCE	86	90.7%	0.12
15	Y.Chen	🇨🇳 CHINA	134	90.3%	0.11
16	Y.Jiang	🇨🇳 CHINA	134	90.3%	0.11
17	P.Franceschetti	🇫🇷 FRANCE	113	90.3%	0.13
18	N.Lhuissier	🇫🇷 FRANCE	113	90.3%	0.13
19	J.Hu	🇨🇳 CHINA	121	90.1%	0.12
20	Y.Shao	🇨🇳 CHINA	121	90.1%	0.12
21	G.Ho	🇭🇰 CHINA HONG KONG	115	89.6%	0.14
22	R.Tam	🇭🇰 CHINA HONG KONG	115	89.6%	0.14
23	A.Helmich	🇳🇱 NETHERLANDS	103	89.3%	0.12
24	G.Hop	🇳🇱 NETHERLANDS	103	89.3%	0.12
25	S.Aita	🇯🇵 JAPAN	93	89.2%	0.18
26	N.Edgtton	🇦🇺 AUSTRALIA	126	88.9%	0.14
27	A.Hung	🇦🇺 AUSTRALIA	126	88.9%	0.14
28	E.Erez	🇮🇱 ISRAEL	71	88.7%	0.18
29	L.Rosenthal	🇮🇱 ISRAEL	71	88.7%	0.18
30	T.Matsuda	🇯🇵 JAPAN	103	88.3%	0.23
31	A.Gandoglia	🇮🇹 ITALY	115	87.8%	0.17
32	P.Hollands	🇦🇺 AUSTRALIA	82	86.6%	0.20
33	J.Mill	🇦🇺 AUSTRALIA	82	86.6%	0.20
34	G.Delle Cave	🇮🇹 ITALY	153	86.3%	0.19
35	M.Crusizio	🇦🇷 ARGENTINA	102	86.3%	0.23
36	R.Garcia Da Rosa	🇦🇷 ARGENTINA	102	86.3%	0.23
37	J.Tsang	🇨🇦 CANADA	71	85.9%	0.15
38	A.Edgtton	🇦🇺 AUSTRALIA	84	85.7%	0.17
39	L.Milne	🇦🇺 AUSTRALIA	84	85.7%	0.17
40	M.Di Franco	🇮🇹 ITALY	130	85.4%	0.15
41	G.Zanasi	🇮🇹 ITALY	130	85.4%	0.15
42	B.Lui	🇭🇰 CHINA HONG KONG	93	84.9%	0.17
43	P.Tsang	🇭🇰 CHINA HONG KONG	93	84.9%	0.17
44	E.Lim	🇸🇬 SINGAPORE	86	84.9%	0.17
45	J.Ong	🇸🇬 SINGAPORE	86	84.9%	0.17
46	A.Iaboni	🇨🇦 CANADA	79	84.8%	0.17
47	G.Gerstner	🇮🇱 ISRAEL	105	84.8%	0.17
48	M.Agica	🇺🇸 USA1	91	84.6%	0.17
49	M.Towner	🇺🇸 USA1	91	84.6%	0.17
50	W.Tan	🇸🇬 SINGAPORE	110	84.5%	0.18
51	Y.You	🇸🇬 SINGAPORE	110	84.5%	0.18
52	Z.Siderov	🇧🇬 BULGARIA	97	84.5%	0.22
53	N.Vasilev	🇧🇬 BULGARIA	97	84.5%	0.22
54	E.Wackwitz	🇳🇱 NETHERLANDS	83	84.3%	0.19
55	C.Westerbeek	🇳🇱 NETHERLANDS	83	84.3%	0.19
56	L.Fisher	🇮🇱 ISRAEL	114	84.2%	0.17
57	F.Oh	🇸🇬 SINGAPORE	133	84.2%	0.18
58	Y.Tham	🇸🇬 SINGAPORE	133	84.2%	0.18
59	O.Bashir	🇵🇰 PAKISTAN	149	83.9%	0.21
60	A.Tebha	🇵🇰 PAKISTAN	149	83.9%	0.21
61	F.Ferro	🇦🇷 ARGENTINA	123	83.7%	0.20
62	F.Montes De Oca	🇦🇷 ARGENTINA	123	83.7%	0.20
63	K.Dwyer Rimstedt	🇺🇸 USA1	126	83.3%	0.18
64	O.Lien	🇺🇸 USA1	126	83.3%	0.18
65	S.Drodge	🇺🇸 USA2	108	83.3%	0.23
66	S.Gannon	🇺🇸 USA2	108	83.3%	0.23
67	L.Jin	🇺🇸 USA2	94	83.0%	0.26
68	E.Zhou	🇺🇸 USA2	94	83.0%	0.26
69	N.Ege	🇩🇰 DENMARK	75	82.7%	0.17
70	L.Tofte	🇩🇰 DENMARK	75	82.7%	0.17
71	R.Dias	🇧🇷 BRAZIL	133	82.7%	0.20
72	K.Hashimoto	🇯🇵 JAPAN	103	82.5%	0.23
73	D.Sugimoto	🇯🇵 JAPAN	113	82.3%	0.27
74	K.Ito	🇯🇵 JAPAN	110	81.8%	0.19
75	T.Seshimo	🇯🇵 JAPAN	110	81.8%	0.19
76	M.Dam Mortensen	🇩🇰 DENMARK	60	81.7%	0.23
77	M.Rohrberg	🇩🇰 DENMARK	60	81.7%	0.23
78	S.Huang	🇨🇦 CANADA	137	81.0%	0.26
79	T.Walsh	🇨🇦 CANADA	137	81.0%	0.26
80	P.Da Rosa	🇧🇷 BRAZIL	109	80.7%	0.22
81	L.Lee	🇭🇰 CHINA HONG KONG	83	80.7%	0.28
82	L.Yip	🇭🇰 CHINA HONG KONG	83	80.7%	0.28
83	S.Kabra	🇮🇳 INDIA	110	80.0%	0.24
84	R.Ravichandran	🇮🇳 INDIA	110	80.0%	0.24
85	T.Battaggia	🇧🇷 BRAZIL	129	79.8%	0.21
86	W.Mamdouh	🇪🇬 EGYPT	93	79.6%	0.23
87	A.Darwish	🇪🇬 EGYPT	130	79.2%	0.25
88	M.Moustafa Shedid	🇪🇬 EGYPT	137	78.8%	0.27
89	F.Vasallo	🇧🇷 BRAZIL	125	78.4%	0.26
90	J.Mullick	🇮🇳 INDIA	105	78.1%	0.26
91	P.Satya	🇮🇳 INDIA	105	78.1%	0.26
92	Z.Wang	🇺🇸 USA2	105	78.1%	0.28
93	Z.Wang	🇺🇸 USA2	105	78.1%	0.28
94	M.Hussain	🇵🇰 PAKISTAN	157	77.7%	0.32
95	Z.Khan	🇵🇰 PAKISTAN	157	77.7%	0.32
96	G.Zind	🇨🇦 CANADA	90	75.6%	0.30
97	C.Chalcraft	🇨🇦 CANADA	82	75.6%	0.30
98	W.Brown	COSTA RICA	156	73.7%	0.30
99	K.Howard	COSTA RICA	156	73.7%	0.30
100	A.Bhattacharya	🇮🇳 INDIA	102	73.5%	0.35
101	S.Mitra	🇮🇳 INDIA	102	73.5%	0.35
102	K.Morcos	🇪🇬 EGYPT	123	72.4%	0.40
103	L.Arguedas	COSTA RICA	155	72.3%	0.40
104	C.Castillo	COSTA RICA	155	72.3%	0.40
105	S.Tommasini	🇧🇷 BRAZIL	122	71.3%	0.34
106	M.Nashaat	🇪🇬 EGYPT	113	69.9%	0.44
107	K.Lu	🇨🇳 CHINA	36	94.4%	0.06
108	J.Shen	🇨🇳 CHINA	36	94.4%	0.06
109	F.De Leo	🇮🇹 ITALY	38	81.6%	0.26
110	K.Fady	🇪🇬 EGYPT	52	78.8%	0.27
111	P.Ivanov	🇧🇬 BULGARIA	57	77.2%	0.32
112	I.Syusyukin	🇧🇬 BULGARIA	57	77.2%	0.32
113	L.Licciardo	🇦🇷 ARGENTINA	43	74.4%	0.30
114	T.Licciardo	🇦🇷 ARGENTINA	43	74.4%	0.30

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	A.Helmich	🇳🇱 NETHERLANDS	208	-0.10	+1.47	+1.37	·
2	G.Hop	🇳🇱 NETHERLANDS	208	-0.10	+1.47	+1.37	·
3	J.Hu	🇨🇳 CHINA	256	+0.08	+0.98	+1.06	·
4	Y.Shao	🇨🇳 CHINA	256	+0.08	+0.98	+1.06	·
5	M.Meyouhas	🇮🇱 ISRAEL	240	+0.10	+0.95	+1.05	·
6	N.Edgtton	🇦🇺 AUSTRALIA	224	+0.16	+0.89	+1.05	·
7	A.Hung	🇦🇺 AUSTRALIA	224	+0.16	+0.89	+1.05	·
8	D.Padon	🇮🇱 ISRAEL	256	+0.05	+0.89	+0.94	·
9	T.Coudert	🇫🇷 FRANCE	192	+0.22	+0.71	+0.93	▲9
10	C.Lorenzini	🇫🇷 FRANCE	192	+0.22	+0.71	+0.93	▲9
11	K.Dwyer Rimstedt	🇺🇸 USA1	256	-0.02	+0.82	+0.80	·
12	O.Lien	🇺🇸 USA1	256	-0.02	+0.82	+0.80	·
13	G.Gerstner	🇮🇱 ISRAEL	224	+0.02	+0.72	+0.74	▲4
14	B.Van Den Bos	🇳🇱 NETHERLANDS	208	-0.10	+0.85	+0.74	▼5
15	J.Van Lankveld	🇳🇱 NETHERLANDS	208	-0.10	+0.85	+0.74	▼5
16	L.Fisher	🇮🇱 ISRAEL	240	-0.03	+0.67	+0.65	▲4
17	P.Franceschetti	🇫🇷 FRANCE	208	-0.13	+0.76	+0.63	▼2
18	N.Lhuissier	🇫🇷 FRANCE	208	-0.13	+0.76	+0.63	▼2
19	Y.Chen	🇨🇳 CHINA	272	+0.04	+0.57	+0.61	▲2
20	Y.Jiang	🇨🇳 CHINA	272	+0.04	+0.57	+0.61	▲2
21	A.Edgtton	🇦🇺 AUSTRALIA	208	+0.10	+0.46	+0.56	▲7
22	L.Milne	🇦🇺 AUSTRALIA	208	+0.10	+0.46	+0.56	▲7
23	D.Bilde	🇩🇰 DENMARK	288	+0.05	+0.51	+0.56	·
24	E.Jepsen	🇩🇰 DENMARK	288	+0.05	+0.51	+0.56	·
25	E.Wackwitz	🇳🇱 NETHERLANDS	192	+0.10	+0.46	+0.56	▲5
26	C.Westerbeek	🇳🇱 NETHERLANDS	192	+0.10	+0.46	+0.56	▲5
27	S.Skorchev	🇧🇬 BULGARIA	288	+0.09	+0.43	+0.52	▲7
28	D.Spasov	🇧🇬 BULGARIA	288	+0.09	+0.43	+0.52	▲7
29	E.Lim	🇸🇬 SINGAPORE	160	+0.08	+0.42	+0.51	▲7
30	J.Ong	🇸🇬 SINGAPORE	160	+0.08	+0.42	+0.51	▲7
31	M.Di Franco	🇮🇹 ITALY	304	+0.03	+0.41	+0.44	▲7
32	G.Zanasi	🇮🇹 ITALY	304	+0.03	+0.41	+0.44	▲7
33	P.Hollands	🇦🇺 AUSTRALIA	176	-0.37	+0.81	+0.43	▼20
34	J.Mill	🇦🇺 AUSTRALIA	176	-0.37	+0.81	+0.43	▼20
35	M.Agica	🇺🇸 USA1	192	+0.11	+0.30	+0.41	▲10
36	M.Towner	🇺🇸 USA1	192	+0.11	+0.30	+0.41	▲10
37	F.Oh	🇸🇬 SINGAPORE	224	-0.04	+0.45	+0.40	▼5
38	Y.Tham	🇸🇬 SINGAPORE	224	-0.04	+0.45	+0.40	▼5
39	Z.Wang	🇺🇸 USA2	224	-0.01	+0.41	+0.40	▲1
40	Z.Wang	🇺🇸 USA2	224	-0.01	+0.41	+0.40	▲1
41	A.Gandoglia	🇮🇹 ITALY	224	-0.17	+0.51	+0.33	▼16
42	B.Lui	🇭🇰 CHINA HONG KONG	208	+0.05	+0.27	+0.32	▲5
43	P.Tsang	🇭🇰 CHINA HONG KONG	208	+0.05	+0.27	+0.32	▲5
44	J.Mullick	🇮🇳 INDIA	240	+0.16	+0.14	+0.30	▲9
45	P.Satya	🇮🇳 INDIA	240	+0.16	+0.14	+0.30	▲9
46	G.Delle Cave	🇮🇹 ITALY	304	-0.14	+0.39	+0.24	▼4
47	F.Ferro	🇦🇷 ARGENTINA	272	-0.05	+0.24	+0.18	▲2
48	F.Montes De Oca	🇦🇷 ARGENTINA	272	-0.05	+0.24	+0.18	▲2
49	A.Kilani	🇫🇷 FRANCE	208	-0.18	+0.32	+0.14	▼6
50	A.Lebatteux	🇫🇷 FRANCE	208	-0.18	+0.32	+0.14	▼6
51	S.Aita	🇯🇵 JAPAN	192	+0.27	-0.24	+0.03	▲17
52	W.Tan	🇸🇬 SINGAPORE	224	-0.10	+0.11	+0.01	▲5
53	Y.You	🇸🇬 SINGAPORE	224	-0.10	+0.11	+0.01	▲5
54	M.Dam Mortensen	🇩🇰 DENMARK	128	-0.50	+0.49	-0.01	▼28
55	M.Rohrberg	🇩🇰 DENMARK	128	-0.50	+0.49	-0.01	▼28
56	S.Huang	🇨🇦 CANADA	288	-0.07	+0.01	-0.06	▲5
57	T.Walsh	🇨🇦 CANADA	288	-0.07	+0.01	-0.06	▲5
58	R.Lee	🇺🇸 USA1	160	-0.25	+0.17	-0.08	▼7
59	R.Rajkumar	🇺🇸 USA1	160	-0.25	+0.17	-0.08	▼7
60	S.Drodge	🇺🇸 USA2	208	+0.20	-0.32	-0.12	▲13
61	S.Gannon	🇺🇸 USA2	208	+0.20	-0.32	-0.12	▲13
62	L.Lee	🇭🇰 CHINA HONG KONG	192	-0.32	+0.14	-0.18	▼7
63	L.Yip	🇭🇰 CHINA HONG KONG	192	-0.32	+0.14	-0.18	▼7
64	O.Bashir	🇵🇰 PAKISTAN	304	+0.02	-0.19	-0.18	▲2
65	A.Tebha	🇵🇰 PAKISTAN	304	+0.02	-0.19	-0.18	▲2
66	T.Matsuda	🇯🇵 JAPAN	208	+0.20	-0.40	-0.19	▲11
67	Z.Siderov	🇧🇬 BULGARIA	208	-0.01	-0.19	-0.20	▼3
68	N.Vasilev	🇧🇬 BULGARIA	208	-0.01	-0.19	-0.20	▼3
69	M.Crusizio	🇦🇷 ARGENTINA	256	+0.07	-0.31	-0.24	▲2
70	R.Garcia Da Rosa	🇦🇷 ARGENTINA	256	+0.07	-0.31	-0.24	▲2
71	R.Dias	🇧🇷 BRAZIL	256	+0.14	-0.43	-0.29	▲7
72	G.Ho	🇭🇰 CHINA HONG KONG	208	+0.19	-0.52	-0.33	▲10
73	R.Tam	🇭🇰 CHINA HONG KONG	208	+0.19	-0.52	-0.33	▲10
74	E.Erez	🇮🇱 ISRAEL	128	-0.39	+0.06	-0.33	▼15
75	L.Rosenthal	🇮🇱 ISRAEL	128	-0.39	+0.06	-0.33	▼15
76	J.Tsang	🇨🇦 CANADA	144	-0.03	-0.31	-0.33	▼7
77	N.Ege	🇩🇰 DENMARK	192	+0.25	-0.60	-0.35	▲7
78	L.Tofte	🇩🇰 DENMARK	192	+0.25	-0.60	-0.35	▲7
79	M.Hussain	🇵🇰 PAKISTAN	304	+0.09	-0.43	-0.35	·
80	Z.Khan	🇵🇰 PAKISTAN	304	+0.09	-0.43	-0.35	·
81	K.Hashimoto	🇯🇵 JAPAN	192	-0.21	-0.15	-0.36	▼18
82	L.Jin	🇺🇸 USA2	176	-0.01	-0.35	-0.36	▼7
83	E.Zhou	🇺🇸 USA2	176	-0.01	-0.35	-0.36	▼7
84	C.Chalcraft	🇨🇦 CANADA	160	+0.17	-0.65	-0.48	▲2
85	A.Iaboni	🇨🇦 CANADA	160	-0.07	-0.44	-0.50	▼4
86	D.Sugimoto	🇯🇵 JAPAN	208	-0.24	-0.31	-0.55	▼16
87	G.Zind	🇨🇦 CANADA	176	+0.11	-0.73	-0.62	▲1
88	P.Da Rosa	🇧🇷 BRAZIL	240	+0.14	-0.83	-0.69	▲7
89	A.Darwish	🇪🇬 EGYPT	256	-0.00	-0.70	-0.70	▼2
90	K.Ito	🇯🇵 JAPAN	208	+0.03	-0.79	-0.76	▲2
91	T.Seshimo	🇯🇵 JAPAN	208	+0.03	-0.79	-0.76	▲2
92	T.Battaggia	🇧🇷 BRAZIL	240	-0.01	-0.78	-0.78	▼1
93	S.Kabra	🇮🇳 INDIA	192	-0.05	-0.74	-0.79	▼4
94	R.Ravichandran	🇮🇳 INDIA	192	-0.05	-0.74	-0.79	▼4
95	M.Nashaat	🇪🇬 EGYPT	192	+0.13	-0.95	-0.82	▲2
96	M.Moustafa Shedid	🇪🇬 EGYPT	272	-0.02	-0.83	-0.85	▼2
97	K.Morcos	🇪🇬 EGYPT	224	+0.03	-0.93	-0.90	▼1
98	F.Vasallo	🇧🇷 BRAZIL	240	+0.03	-1.04	-1.00	▲1
99	W.Mamdouh	🇪🇬 EGYPT	176	-0.01	-1.01	-1.02	▼1
100	L.Arguedas	COSTA RICA	304	+0.04	-1.27	-1.24	·
101	C.Castillo	COSTA RICA	304	+0.04	-1.27	-1.24	·
102	A.Bhattacharya	🇮🇳 INDIA	176	-0.05	-1.29	-1.34	·
103	S.Mitra	🇮🇳 INDIA	176	-0.05	-1.29	-1.34	·
104	S.Tommasini	🇧🇷 BRAZIL	240	+0.08	-1.49	-1.41	·
105	W.Brown	COSTA RICA	304	+0.04	-1.53	-1.49	·
106	K.Howard	COSTA RICA	304	+0.04	-1.53	-1.49	·

Stages

Statistics