Suzhou 2018 — 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	J.Patreuha	🇵🇱 POLAND	196	+1.68	+330.0
2	P.Patreuha	🇵🇱 POLAND	196	+1.68	+330.0
3	G.Teneva	🇧🇬 BULGARIA	238	+1.41	+335.0
4	I.Baniri	🇮🇱 ISRAEL	224	+1.28	+287.0
5	N.Khutorsky	🇮🇱 ISRAEL	224	+1.28	+287.0
6	G.Matatyahou	🇮🇱 ISRAEL	140	+1.15	+161.0
7	Y.Sliwowicz	🇮🇱 ISRAEL	140	+1.15	+161.0
8	P.Jasinski	🇵🇱 POLAND	182	+1.03	+188.0
9	T.Kielbasa	🇵🇱 POLAND	182	+1.03	+188.0
10	V.Yotov	🇧🇬 BULGARIA	238	+1.00	+238.0
11	F.Porta	🇮🇹 ITALY	266	+0.98	+260.0
12	G.Donati	🇮🇹 ITALY	280	+0.97	+271.0
13	T.Pavlov	🇧🇬 BULGARIA	280	+0.87	+244.0
14	P.Pabst	🇩🇪 GERMANY	266	+0.86	+230.0
15	S.Van Oosten	🇩🇪 GERMANY	266	+0.86	+230.0
16	C.Mann	🇸🇪 SWEDEN	280	+0.85	+239.0
17	C.Duffie	🇺🇸 USA	210	+0.85	+179.0
18	Q.Wan	🇺🇸 USA	210	+0.85	+179.0
19	O.Nijssen	🇳🇱 NETHERLANDS	280	+0.82	+230.0
20	T.Van De Paverd	🇳🇱 NETHERLANDS	280	+0.82	+230.0
21	E.Hansson	🇸🇪 SWEDEN	280	+0.79	+221.0
22	M.Fragola	🇫🇷 FRANCE	196	+0.77	+150.0
23	W.Cheung	🇭🇰 CHINA HONG KONG	210	+0.76	+160.0
24	T.Fong	🇭🇰 CHINA HONG KONG	210	+0.76	+160.0
25	M.Dufrene	🇫🇷 FRANCE	140	+0.72	+101.0
26	A.Boulin	🇫🇷 FRANCE	252	+0.65	+163.0
27	T.Guillemin	🇫🇷 FRANCE	252	+0.65	+163.0
28	Z.Cheng	🇨🇳 CHINA	182	+0.61	+111.0
29	X.Wang	🇨🇳 CHINA	182	+0.61	+111.0
30	J.Freeman	🇨🇦 CANADA	238	+0.60	+143.0
31	B.Zhu	🇨🇦 CANADA	238	+0.60	+143.0
32	G.Giubilo	🇮🇹 ITALY	280	+0.58	+163.0
33	T.Loonstein	🇮🇱 ISRAEL	224	+0.55	+124.0
34	A.Zeitak	🇮🇱 ISRAEL	224	+0.55	+124.0
35	G.Giubilo	🇮🇹 ITALY	252	+0.49	+123.0
36	A.Sandin	🇸🇪 SWEDEN	266	+0.48	+127.0
37	C.Lee	🇹🇼 CHINESE TAIPEI	196	+0.47	+93.0
38	S.Su	🇹🇼 CHINESE TAIPEI	196	+0.47	+93.0
39	R.Jeng	🇺🇸 USA	196	+0.47	+92.0
40	S.Youngquist	🇺🇸 USA	196	+0.47	+92.0
41	S.Clementsson	🇸🇪 SWEDEN	280	+0.38	+106.0
42	M.Litterst	🇩🇪 GERMANY	224	+0.37	+83.0
43	V.Otto	🇩🇪 GERMANY	224	+0.37	+83.0
44	L.Sanderson	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	252	+0.25	+64.0
45	D.Winter	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	252	+0.25	+64.0
46	B.Jiang	🇨🇳 CHINA	210	+0.24	+51.0
47	R.Pan	🇨🇳 CHINA	210	+0.24	+51.0
48	V.Lamoureux	🇨🇦 CANADA	168	+0.20	+34.0
49	J.Xiong	🇨🇦 CANADA	168	+0.20	+34.0
50	L.Bellicaud	🇫🇷 FRANCE	196	+0.20	+39.0
51	N.Yaninski	🇧🇬 BULGARIA	280	+0.18	+51.0
52	C.Wei	🇹🇼 CHINESE TAIPEI	196	+0.06	+12.0
53	C.Wei	🇹🇼 CHINESE TAIPEI	196	+0.06	+12.0
54	R.Goor	🇳🇱 NETHERLANDS	182	-0.04	-7.0
55	S.Goor	🇳🇱 NETHERLANDS	182	-0.04	-7.0
56	H.Koh	🇸🇬 SINGAPORE	210	-0.05	-11.0
57	S.Tan	🇸🇬 SINGAPORE	210	-0.05	-11.0
58	R.Basler	🇫🇷 FRANCE	140	-0.07	-10.0
59	H.Huhtamaki	🇫🇮 FINLAND	294	-0.07	-22.0
60	O.Koivu	🇫🇮 FINLAND	294	-0.07	-22.0
61	X.Guan	🇸🇬 SINGAPORE	182	-0.12	-21.0
62	J.Wu	🇸🇬 SINGAPORE	182	-0.12	-21.0
63	C.Chiu	🇹🇼 CHINESE TAIPEI	196	-0.18	-35.0
64	T.Liu	🇹🇼 CHINESE TAIPEI	196	-0.18	-35.0
65	K.Baliram Gurjar	🇮🇳 INDIA	224	-0.21	-47.0
66	V.Kamal Patel	🇮🇳 INDIA	224	-0.21	-47.0
67	B.Perez	🇨🇱 CHILE	280	-0.24	-66.0
68	GOKUL S	🇮🇳 INDIA	168	-0.28	-47.0
69	R.Vadumangudi Balasundaram	🇮🇳 INDIA	168	-0.28	-47.0
70	C.Curran	🇳🇴 NORWAY	294	-0.31	-91.0
71	A.Devik	🇳🇴 NORWAY	294	-0.31	-91.0
72	D.Goudzwaard	🇳🇱 NETHERLANDS	126	-0.32	-40.0
73	T.Westerveld	🇳🇱 NETHERLANDS	126	-0.32	-40.0
74	P.Kuysuwan	🇹🇭 THAILAND	252	-0.36	-90.0
75	K.Sianglio	🇹🇭 THAILAND	252	-0.36	-90.0
76	Y.Liao	🇨🇳 CHINA	196	-0.38	-74.0
77	Q.Sun	🇨🇳 CHINA	196	-0.38	-74.0
78	S.Helgeby	🇳🇴 NORWAY	294	-0.38	-113.0
79	M.Lund	🇳🇴 NORWAY	294	-0.38	-113.0
80	E.Vasquez	🇨🇱 CHILE	182	-0.42	-76.0
81	D.Lee	🇸🇬 SINGAPORE	196	-0.48	-95.0
82	G.Yang	🇸🇬 SINGAPORE	196	-0.48	-95.0
83	B.Wong	🇭🇰 CHINA HONG KONG	168	-0.50	-84.0
84	N.Davila	🇨🇱 CHILE	294	-0.52	-152.0
85	K.Jindai	🇯🇵 JAPAN	196	-0.54	-106.0
86	M.Sakaguchi	🇯🇵 JAPAN	196	-0.54	-106.0
87	A.Aalto	🇫🇮 FINLAND	294	-0.56	-164.0
88	T.Sammalisto	🇫🇮 FINLAND	294	-0.56	-164.0
89	F.Basoalto	🇨🇱 CHILE	294	-0.60	-175.0
90	K.Cichy	🇵🇱 POLAND	210	-0.60	-126.0
91	K.Kopka	🇵🇱 POLAND	210	-0.60	-126.0
92	Y.Nishimura	🇯🇵 JAPAN	196	-0.64	-126.0
93	T.Yamada	🇯🇵 JAPAN	196	-0.64	-126.0
94	T.Wong	🇭🇰 CHINA HONG KONG	210	-0.70	-146.0
95	L.Kostova	🇧🇬 BULGARIA	140	-0.70	-98.0
96	T.Hung	🇭🇰 CHINA HONG KONG	266	-0.80	-213.0
97	O.Laufer	🇨🇦 CANADA	182	-0.82	-149.0
98	A.Vassileva	🇨🇦 CANADA	182	-0.82	-149.0
99	K.Huang	🇺🇸 USA	182	-0.84	-152.0
100	B.Xiao	🇺🇸 USA	182	-0.84	-152.0
101	Y.Inoue	🇯🇵 JAPAN	196	-0.87	-171.0
102	K.Takizawa	🇯🇵 JAPAN	196	-0.87	-171.0
103	K.Kotha	🇹🇭 THAILAND	238	-0.90	-214.0
104	T.Sopak	🇹🇭 THAILAND	238	-0.90	-214.0
105	I.Perez	🇨🇱 CHILE	126	-0.93	-117.0
106	H.Madden	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	224	-1.00	-224.0
107	K.Panchagnula	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	224	-1.00	-224.0
108	R.Bhimanaik	🇮🇳 INDIA	196	-1.34	-262.0
109	SELVARAJ DINESH BABU	🇮🇳 INDIA	196	-1.34	-262.0
110	R.Gaosegelwe	BOTSWANA	224	-1.94	-435.0
111	T.Ofentse	BOTSWANA	224	-1.94	-435.0
112	A.Kelehatile	BOTSWANA	238	-1.96	-467.0
113	M.Mokgosi	BOTSWANA	238	-1.96	-467.0
114	J.Keabitsa	BOTSWANA	126	-3.26	-411.0
115	M.Waditsela	BOTSWANA	126	-3.26	-411.0
116	T.Bodin	🇸🇪 SWEDEN	70	+1.59	+111.0
117	N.Pimpisan	🇹🇭 THAILAND	98	+1.16	+114.0
118	R.Srisukha	🇹🇭 THAILAND	98	+1.16	+114.0
119	S.Anoyrkatis	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	112	+0.94	+105.0
120	T.Anoyrkatis	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	112	+0.94	+105.0
121	K.Loy	🇭🇰 CHINA HONG KONG	112	-0.15	-17.0
122	F.Doermer	🇩🇪 GERMANY	98	-0.43	-42.0
123	J.Lepper	🇩🇪 GERMANY	98	-0.43	-42.0
124	M.Lombardi	🇮🇹 ITALY	56	-0.45	-25.0
125	S.Capobianco	🇮🇹 ITALY	42	-0.57	-24.0

Opening-lead accuracy↑ top

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

#	Player	Team	Leads	On target	Conceded
1	S.Youngquist	🇺🇸 USA	39	94.9%	0.08
2	M.Dufrene	🇫🇷 FRANCE	25	92.0%	0.12
3	P.Patreuha	🇵🇱 POLAND	46	91.3%	0.11
4	I.Perez	🇨🇱 CHILE	31	90.3%	0.10
5	I.Baniri	🇮🇱 ISRAEL	49	89.8%	0.10
6	H.Madden	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	50	88.0%	0.18
7	J.Freeman	🇨🇦 CANADA	61	86.9%	0.18
8	T.Yamada	🇯🇵 JAPAN	45	86.7%	0.16
9	B.Zhu	🇨🇦 CANADA	65	86.2%	0.18
10	S.Tan	🇸🇬 SINGAPORE	48	85.4%	0.17
11	S.Clementsson	🇸🇪 SWEDEN	61	85.2%	0.25
12	D.Winter	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	65	84.6%	0.21
13	C.Wei	🇹🇼 CHINESE TAIPEI	58	84.5%	0.22
14	J.Keabitsa	BOTSWANA	38	84.2%	0.18
15	V.Otto	🇩🇪 GERMANY	56	83.9%	0.18
16	N.Khutorsky	🇮🇱 ISRAEL	56	83.9%	0.20
17	T.Pavlov	🇧🇬 BULGARIA	78	83.3%	0.18
18	O.Laufer	🇨🇦 CANADA	48	83.3%	0.21
19	P.Pabst	🇩🇪 GERMANY	69	82.6%	0.22
20	SELVARAJ DINESH BABU	🇮🇳 INDIA	40	82.5%	0.17
21	C.Mann	🇸🇪 SWEDEN	80	82.5%	0.20
22	T.Loonstein	🇮🇱 ISRAEL	57	82.5%	0.21
23	A.Vassileva	🇨🇦 CANADA	40	82.5%	0.35
24	O.Koivu	🇫🇮 FINLAND	62	82.3%	0.21
25	K.Kopka	🇵🇱 POLAND	45	82.2%	0.27
26	K.Takizawa	🇯🇵 JAPAN	56	82.1%	0.20
27	W.Cheung	🇭🇰 CHINA HONG KONG	56	82.1%	0.23
28	V.Lamoureux	🇨🇦 CANADA	50	82.0%	0.28
29	J.Patreuha	🇵🇱 POLAND	60	81.7%	0.23
30	G.Matatyahou	🇮🇱 ISRAEL	38	81.6%	0.24
31	T.Wong	🇭🇰 CHINA HONG KONG	48	81.2%	0.23
32	B.Perez	🇨🇱 CHILE	78	80.8%	0.20
33	G.Teneva	🇧🇬 BULGARIA	52	80.8%	0.23
34	A.Devik	🇳🇴 NORWAY	77	80.5%	0.25
35	T.Guillemin	🇫🇷 FRANCE	51	80.4%	0.22
36	C.Chiu	🇹🇼 CHINESE TAIPEI	51	80.4%	0.23
37	B.Jiang	🇨🇳 CHINA	56	80.4%	0.25
38	M.Litterst	🇩🇪 GERMANY	66	80.3%	0.23
39	H.Huhtamaki	🇫🇮 FINLAND	75	80.0%	0.21
40	T.Liu	🇹🇼 CHINESE TAIPEI	50	80.0%	0.24
41	K.Cichy	🇵🇱 POLAND	55	80.0%	0.26
42	A.Boulin	🇫🇷 FRANCE	65	80.0%	0.34
43	H.Koh	🇸🇬 SINGAPORE	59	79.7%	0.27
44	M.Lund	🇳🇴 NORWAY	74	79.7%	0.32
45	V.Kamal Patel	🇮🇳 INDIA	63	79.4%	0.25
46	Q.Wan	🇺🇸 USA	63	79.4%	0.27
47	K.Jindai	🇯🇵 JAPAN	58	79.3%	0.31
48	V.Yotov	🇧🇬 BULGARIA	53	79.2%	0.28
49	T.Ofentse	BOTSWANA	71	78.9%	0.25
50	S.Goor	🇳🇱 NETHERLANDS	38	78.9%	0.26
51	L.Sanderson	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	66	78.8%	0.27
52	M.Fragola	🇫🇷 FRANCE	52	78.8%	0.31
53	Y.Inoue	🇯🇵 JAPAN	47	78.7%	0.23
54	X.Wang	🇨🇳 CHINA	42	78.6%	0.21
55	N.Davila	🇨🇱 CHILE	70	78.6%	0.27
56	G.Giubilo	🇮🇹 ITALY	65	78.5%	0.25
57	M.Sakaguchi	🇯🇵 JAPAN	46	78.3%	0.28
58	A.Zeitak	🇮🇱 ISRAEL	59	78.0%	0.25
59	S.Helgeby	🇳🇴 NORWAY	72	77.8%	0.28
60	D.Lee	🇸🇬 SINGAPORE	45	77.8%	0.31
61	E.Vasquez	🇨🇱 CHILE	40	77.5%	0.40
62	K.Panchagnula	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	44	77.3%	0.39
63	O.Nijssen	🇳🇱 NETHERLANDS	74	77.0%	0.31
64	T.Van De Paverd	🇳🇱 NETHERLANDS	65	76.9%	0.26
65	R.Goor	🇳🇱 NETHERLANDS	39	76.9%	0.33
66	Q.Sun	🇨🇳 CHINA	43	76.7%	0.33
67	Z.Cheng	🇨🇳 CHINA	47	76.6%	0.28
68	K.Huang	🇺🇸 USA	47	76.6%	0.30
69	C.Lee	🇹🇼 CHINESE TAIPEI	55	76.4%	0.36
70	N.Yaninski	🇧🇬 BULGARIA	67	76.1%	0.28
71	C.Curran	🇳🇴 NORWAY	70	75.7%	0.29
72	G.Donati	🇮🇹 ITALY	82	75.6%	0.29
73	P.Kuysuwan	🇹🇭 THAILAND	53	75.5%	0.30
74	C.Duffie	🇺🇸 USA	64	75.0%	0.31
75	C.Wei	🇹🇼 CHINESE TAIPEI	40	75.0%	0.33
76	K.Kotha	🇹🇭 THAILAND	72	75.0%	0.33
77	S.Su	🇹🇼 CHINESE TAIPEI	52	75.0%	0.36
78	Y.Nishimura	🇯🇵 JAPAN	59	74.6%	0.36
79	R.Jeng	🇺🇸 USA	47	74.5%	0.28
80	B.Wong	🇭🇰 CHINA HONG KONG	47	74.5%	0.30
81	G.Giubilo	🇮🇹 ITALY	55	74.5%	0.31
82	J.Xiong	🇨🇦 CANADA	39	74.4%	0.26
83	T.Fong	🇭🇰 CHINA HONG KONG	39	74.4%	0.39
84	F.Porta	🇮🇹 ITALY	69	73.9%	0.30
85	G.Yang	🇸🇬 SINGAPORE	42	73.8%	0.29
86	L.Bellicaud	🇫🇷 FRANCE	49	73.5%	0.31
87	GOKUL S	🇮🇳 INDIA	45	73.3%	0.33
88	P.Jasinski	🇵🇱 POLAND	41	73.2%	0.34
89	A.Sandin	🇸🇪 SWEDEN	78	73.1%	0.31
90	B.Xiao	🇺🇸 USA	37	73.0%	0.27
91	F.Basoalto	🇨🇱 CHILE	59	72.9%	0.32
92	A.Aalto	🇫🇮 FINLAND	73	72.6%	0.37
93	T.Sammalisto	🇫🇮 FINLAND	72	72.2%	0.40
94	K.Sianglio	🇹🇭 THAILAND	61	72.1%	0.38
95	M.Mokgosi	BOTSWANA	50	72.0%	0.40
96	T.Westerveld	🇳🇱 NETHERLANDS	32	71.9%	0.31
97	R.Gaosegelwe	BOTSWANA	60	71.7%	0.32
98	E.Hansson	🇸🇪 SWEDEN	60	71.7%	0.37
99	A.Kelehatile	BOTSWANA	63	71.4%	0.32
100	L.Kostova	🇧🇬 BULGARIA	27	70.4%	0.30
101	R.Basler	🇫🇷 FRANCE	54	70.4%	0.33
102	R.Bhimanaik	🇮🇳 INDIA	40	70.0%	0.45
103	S.Van Oosten	🇩🇪 GERMANY	75	69.3%	0.41
104	R.Pan	🇨🇳 CHINA	39	69.2%	0.54
105	R.Vadumangudi Balasundaram	🇮🇳 INDIA	42	69.0%	0.41
106	T.Kielbasa	🇵🇱 POLAND	51	68.6%	0.37
107	K.Baliram Gurjar	🇮🇳 INDIA	54	68.5%	0.33
108	D.Goudzwaard	🇳🇱 NETHERLANDS	38	68.4%	0.42
109	T.Hung	🇭🇰 CHINA HONG KONG	68	67.6%	0.41
110	T.Sopak	🇹🇭 THAILAND	54	66.7%	0.41
111	Y.Sliwowicz	🇮🇱 ISRAEL	30	66.7%	0.43
112	J.Wu	🇸🇬 SINGAPORE	52	65.4%	0.39
113	M.Waditsela	BOTSWANA	31	64.5%	0.52
114	Y.Liao	🇨🇳 CHINA	55	61.8%	0.51
115	X.Guan	🇸🇬 SINGAPORE	42	57.1%	0.57
116	R.Srisukha	🇹🇭 THAILAND	22	90.9%	0.09
117	S.Capobianco	🇮🇹 ITALY	6	83.3%	0.17
118	T.Bodin	🇸🇪 SWEDEN	18	77.8%	0.33
119	K.Loy	🇭🇰 CHINA HONG KONG	31	77.4%	0.32
120	N.Pimpisan	🇹🇭 THAILAND	26	73.1%	0.35
121	M.Lombardi	🇮🇹 ITALY	11	72.7%	0.27
122	F.Doermer	🇩🇪 GERMANY	22	72.7%	0.27
123	J.Lepper	🇩🇪 GERMANY	27	66.7%	0.48
124	S.Anoyrkatis	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	35	62.9%	0.46
125	T.Anoyrkatis	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	22	50.0%	0.68

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	S.Van Oosten	🇩🇪 GERMANY	59	89.8%	0.12
2	R.Basler	🇫🇷 FRANCE	27	88.9%	0.15
3	R.Jeng	🇺🇸 USA	49	87.8%	0.20
4	O.Nijssen	🇳🇱 NETHERLANDS	70	87.1%	0.20
5	C.Duffie	🇺🇸 USA	39	84.6%	0.23
6	G.Matatyahou	🇮🇱 ISRAEL	32	84.4%	0.19
7	B.Zhu	🇨🇦 CANADA	57	84.2%	0.21
8	N.Khutorsky	🇮🇱 ISRAEL	68	83.8%	0.22
9	T.Liu	🇹🇼 CHINESE TAIPEI	43	83.7%	0.19
10	L.Bellicaud	🇫🇷 FRANCE	43	83.7%	0.23
11	P.Patreuha	🇵🇱 POLAND	42	83.3%	0.19
12	G.Yang	🇸🇬 SINGAPORE	54	83.3%	0.20
13	A.Boulin	🇫🇷 FRANCE	62	82.3%	0.27
14	C.Mann	🇸🇪 SWEDEN	84	82.1%	0.19
15	G.Teneva	🇧🇬 BULGARIA	61	82.0%	0.18
16	R.Pan	🇨🇳 CHINA	60	81.7%	0.28
17	R.Vadumangudi Balasundaram	🇮🇳 INDIA	32	81.2%	0.25
18	T.Van De Paverd	🇳🇱 NETHERLANDS	69	81.2%	0.30
19	G.Donati	🇮🇹 ITALY	58	81.0%	0.22
20	N.Yaninski	🇧🇬 BULGARIA	73	80.8%	0.19
21	F.Porta	🇮🇹 ITALY	67	80.6%	0.22
22	H.Madden	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	66	80.3%	0.21
23	Y.Sliwowicz	🇮🇱 ISRAEL	40	80.0%	0.20
24	K.Cichy	🇵🇱 POLAND	50	80.0%	0.20
25	P.Jasinski	🇵🇱 POLAND	50	80.0%	0.22
26	K.Kopka	🇵🇱 POLAND	59	79.7%	0.32
27	L.Kostova	🇧🇬 BULGARIA	44	79.5%	0.23
28	B.Wong	🇭🇰 CHINA HONG KONG	44	79.5%	0.34
29	Z.Cheng	🇨🇳 CHINA	53	79.2%	0.26
30	T.Guillemin	🇫🇷 FRANCE	71	78.9%	0.23
31	X.Wang	🇨🇳 CHINA	38	78.9%	0.34
32	J.Patreuha	🇵🇱 POLAND	47	78.7%	0.21
33	S.Goor	🇳🇱 NETHERLANDS	51	78.4%	0.26
34	P.Kuysuwan	🇹🇭 THAILAND	73	78.1%	0.30
35	T.Fong	🇭🇰 CHINA HONG KONG	50	78.0%	0.28
36	A.Sandin	🇸🇪 SWEDEN	61	77.0%	0.33
37	A.Aalto	🇫🇮 FINLAND	77	76.6%	0.33
38	K.Jindai	🇯🇵 JAPAN	38	76.3%	0.26
39	F.Basoalto	🇨🇱 CHILE	80	76.2%	0.35
40	L.Sanderson	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	54	75.9%	0.33
41	S.Clementsson	🇸🇪 SWEDEN	70	75.7%	0.31
42	E.Vasquez	🇨🇱 CHILE	45	75.6%	0.40
43	R.Goor	🇳🇱 NETHERLANDS	53	75.5%	0.38
44	P.Pabst	🇩🇪 GERMANY	61	75.4%	0.31
45	T.Pavlov	🇧🇬 BULGARIA	65	75.4%	0.32
46	T.Loonstein	🇮🇱 ISRAEL	61	75.4%	0.33
47	C.Wei	🇹🇼 CHINESE TAIPEI	48	75.0%	0.29
48	J.Wu	🇸🇬 SINGAPORE	40	75.0%	0.33
49	O.Koivu	🇫🇮 FINLAND	75	74.7%	0.32
50	E.Hansson	🇸🇪 SWEDEN	59	74.6%	0.36
51	D.Lee	🇸🇬 SINGAPORE	55	74.5%	0.34
52	Q.Wan	🇺🇸 USA	43	74.4%	0.33
53	K.Takizawa	🇯🇵 JAPAN	43	74.4%	0.33
54	A.Zeitak	🇮🇱 ISRAEL	46	73.9%	0.30
55	T.Hung	🇭🇰 CHINA HONG KONG	65	73.8%	0.43
56	S.Tan	🇸🇬 SINGAPORE	49	73.5%	0.31
57	C.Wei	🇹🇼 CHINESE TAIPEI	49	73.5%	0.45
58	K.Sianglio	🇹🇭 THAILAND	64	73.4%	0.36
59	Y.Inoue	🇯🇵 JAPAN	48	72.9%	0.33
60	T.Kielbasa	🇵🇱 POLAND	40	72.5%	0.33
61	C.Lee	🇹🇼 CHINESE TAIPEI	36	72.2%	0.33
62	W.Cheung	🇭🇰 CHINA HONG KONG	64	71.9%	0.31
63	M.Dufrene	🇫🇷 FRANCE	46	71.7%	0.48
64	D.Winter	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	67	71.6%	0.30
65	B.Perez	🇨🇱 CHILE	74	71.6%	0.34
66	H.Huhtamaki	🇫🇮 FINLAND	81	71.6%	0.38
67	G.Giubilo	🇮🇹 ITALY	63	71.4%	0.38
68	S.Su	🇹🇼 CHINESE TAIPEI	52	71.2%	0.36
69	T.Sopak	🇹🇭 THAILAND	66	71.2%	0.38
70	M.Litterst	🇩🇪 GERMANY	51	70.6%	0.35
71	B.Xiao	🇺🇸 USA	44	70.5%	0.39
72	J.Freeman	🇨🇦 CANADA	54	70.4%	0.39
73	K.Huang	🇺🇸 USA	54	70.4%	0.48
74	O.Laufer	🇨🇦 CANADA	47	70.2%	0.36
75	V.Lamoureux	🇨🇦 CANADA	40	70.0%	0.38
76	A.Devik	🇳🇴 NORWAY	70	70.0%	0.39
77	V.Otto	🇩🇪 GERMANY	50	70.0%	0.40
78	G.Giubilo	🇮🇹 ITALY	79	69.6%	0.42
79	Y.Liao	🇨🇳 CHINA	49	69.4%	0.41
80	V.Yotov	🇧🇬 BULGARIA	65	69.2%	0.35
81	J.Xiong	🇨🇦 CANADA	39	69.2%	0.36
82	S.Youngquist	🇺🇸 USA	61	68.9%	0.38
83	T.Wong	🇭🇰 CHINA HONG KONG	48	68.8%	0.33
84	M.Lund	🇳🇴 NORWAY	79	68.4%	0.43
85	S.Helgeby	🇳🇴 NORWAY	69	68.1%	0.38
86	M.Fragola	🇫🇷 FRANCE	40	67.5%	0.42
87	K.Baliram Gurjar	🇮🇳 INDIA	43	67.4%	0.42
88	I.Baniri	🇮🇱 ISRAEL	49	67.3%	0.37
89	Q.Sun	🇨🇳 CHINA	49	67.3%	0.49
90	T.Sammalisto	🇫🇮 FINLAND	72	66.7%	0.42
91	Y.Nishimura	🇯🇵 JAPAN	54	66.7%	0.43
92	D.Goudzwaard	🇳🇱 NETHERLANDS	27	66.7%	0.56
93	SELVARAJ DINESH BABU	🇮🇳 INDIA	53	66.0%	0.57
94	V.Kamal Patel	🇮🇳 INDIA	64	65.6%	0.41
95	T.Westerveld	🇳🇱 NETHERLANDS	29	65.5%	0.48
96	GOKUL S	🇮🇳 INDIA	49	65.3%	0.39
97	X.Guan	🇸🇬 SINGAPORE	46	65.2%	0.37
98	B.Jiang	🇨🇳 CHINA	54	64.8%	0.50
99	M.Sakaguchi	🇯🇵 JAPAN	51	64.7%	0.57
100	C.Curran	🇳🇴 NORWAY	76	64.5%	0.43
101	A.Vassileva	🇨🇦 CANADA	45	64.4%	0.40
102	I.Perez	🇨🇱 CHILE	28	64.3%	0.46
103	K.Kotha	🇹🇭 THAILAND	44	63.6%	0.55
104	C.Chiu	🇹🇼 CHINESE TAIPEI	51	62.7%	0.47
105	N.Davila	🇨🇱 CHILE	82	62.2%	0.49
106	H.Koh	🇸🇬 SINGAPORE	54	61.1%	0.44
107	T.Yamada	🇯🇵 JAPAN	38	60.5%	0.63
108	K.Panchagnula	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	64	59.4%	0.61
109	R.Bhimanaik	🇮🇳 INDIA	63	58.7%	0.64
110	A.Kelehatile	BOTSWANA	53	58.5%	0.68
111	T.Ofentse	BOTSWANA	53	54.7%	0.60
112	M.Waditsela	BOTSWANA	28	53.6%	0.75
113	M.Mokgosi	BOTSWANA	70	52.9%	0.71
114	J.Keabitsa	BOTSWANA	27	44.4%	1.04
115	R.Gaosegelwe	BOTSWANA	40	42.5%	0.85
116	S.Capobianco	🇮🇹 ITALY	9	88.9%	0.11
117	J.Lepper	🇩🇪 GERMANY	22	81.8%	0.32
118	T.Bodin	🇸🇪 SWEDEN	14	78.6%	0.21
119	M.Lombardi	🇮🇹 ITALY	21	76.2%	0.33
120	S.Anoyrkatis	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	36	72.2%	0.42
121	F.Doermer	🇩🇪 GERMANY	27	70.4%	0.33
122	T.Anoyrkatis	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	19	68.4%	0.63
123	K.Loy	🇭🇰 CHINA HONG KONG	26	65.4%	0.42
124	R.Srisukha	🇹🇭 THAILAND	19	63.2%	0.42
125	N.Pimpisan	🇹🇭 THAILAND	31	61.3%	0.55

Defensive accuracy↑ top

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

#	Player	Team	Boards	On target	Conceded
1	R.Jeng	🇺🇸 USA	86	90.7%	0.10
2	S.Youngquist	🇺🇸 USA	86	90.7%	0.10
3	O.Nijssen	🇳🇱 NETHERLANDS	139	90.6%	0.12
4	T.Van De Paverd	🇳🇱 NETHERLANDS	139	90.6%	0.12
5	P.Kuysuwan	🇹🇭 THAILAND	114	90.4%	0.13
6	K.Sianglio	🇹🇭 THAILAND	114	90.4%	0.13
7	G.Donati	🇮🇹 ITALY	153	90.2%	0.12
8	F.Porta	🇮🇹 ITALY	141	90.1%	0.13
9	Z.Cheng	🇨🇳 CHINA	89	89.9%	0.10
10	X.Wang	🇨🇳 CHINA	89	89.9%	0.10
11	M.Dufrene	🇫🇷 FRANCE	64	89.1%	0.12
12	A.Boulin	🇫🇷 FRANCE	116	88.8%	0.15
13	T.Guillemin	🇫🇷 FRANCE	116	88.8%	0.15
14	J.Patreuha	🇵🇱 POLAND	106	88.7%	0.11
15	P.Patreuha	🇵🇱 POLAND	106	88.7%	0.11
16	I.Baniri	🇮🇱 ISRAEL	105	88.6%	0.12
17	N.Khutorsky	🇮🇱 ISRAEL	105	88.6%	0.12
18	A.Sandin	🇸🇪 SWEDEN	138	88.4%	0.12
19	M.Fragola	🇫🇷 FRANCE	95	87.4%	0.15
20	G.Giubilo	🇮🇹 ITALY	131	87.0%	0.18
21	S.Clementsson	🇸🇪 SWEDEN	145	86.9%	0.13
22	P.Pabst	🇩🇪 GERMANY	144	86.8%	0.17
23	S.Van Oosten	🇩🇪 GERMANY	144	86.8%	0.17
24	G.Giubilo	🇮🇹 ITALY	114	86.8%	0.17
25	K.Jindai	🇯🇵 JAPAN	104	86.5%	0.23
26	M.Sakaguchi	🇯🇵 JAPAN	104	86.5%	0.23
27	B.Jiang	🇨🇳 CHINA	95	86.3%	0.25
28	R.Pan	🇨🇳 CHINA	95	86.3%	0.25
29	H.Huhtamaki	🇫🇮 FINLAND	137	86.1%	0.18
30	O.Koivu	🇫🇮 FINLAND	137	86.1%	0.18
31	P.Jasinski	🇵🇱 POLAND	92	85.9%	0.18
32	T.Kielbasa	🇵🇱 POLAND	92	85.9%	0.18
33	C.Mann	🇸🇪 SWEDEN	135	85.9%	0.23
34	C.Duffie	🇺🇸 USA	127	85.8%	0.17
35	Q.Wan	🇺🇸 USA	127	85.8%	0.17
36	E.Hansson	🇸🇪 SWEDEN	141	85.8%	0.23
37	G.Matatyahou	🇮🇱 ISRAEL	68	85.3%	0.16
38	Y.Sliwowicz	🇮🇱 ISRAEL	68	85.3%	0.16
39	K.Cichy	🇵🇱 POLAND	100	85.0%	0.16
40	K.Kopka	🇵🇱 POLAND	100	85.0%	0.16
41	R.Basler	🇫🇷 FRANCE	85	84.7%	0.19
42	T.Loonstein	🇮🇱 ISRAEL	116	84.5%	0.18
43	A.Zeitak	🇮🇱 ISRAEL	116	84.5%	0.18
44	L.Bellicaud	🇫🇷 FRANCE	116	84.5%	0.19
45	S.Helgeby	🇳🇴 NORWAY	146	84.2%	0.18
46	M.Lund	🇳🇴 NORWAY	146	84.2%	0.18
47	W.Cheung	🇭🇰 CHINA HONG KONG	95	84.2%	0.19
48	T.Fong	🇭🇰 CHINA HONG KONG	95	84.2%	0.19
49	GOKUL S	🇮🇳 INDIA	87	83.9%	0.22
50	R.Vadumangudi Balasundaram	🇮🇳 INDIA	87	83.9%	0.22
51	M.Litterst	🇩🇪 GERMANY	122	83.6%	0.22
52	V.Otto	🇩🇪 GERMANY	122	83.6%	0.22
53	G.Teneva	🇧🇬 BULGARIA	108	83.3%	0.19
54	C.Lee	🇹🇼 CHINESE TAIPEI	107	83.2%	0.22
55	S.Su	🇹🇼 CHINESE TAIPEI	107	83.2%	0.22
56	H.Madden	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	94	83.0%	0.22
57	K.Panchagnula	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	94	83.0%	0.22
58	D.Goudzwaard	🇳🇱 NETHERLANDS	70	82.9%	0.24
59	T.Westerveld	🇳🇱 NETHERLANDS	70	82.9%	0.24
60	C.Wei	🇹🇼 CHINESE TAIPEI	98	82.7%	0.24
61	C.Wei	🇹🇼 CHINESE TAIPEI	98	82.7%	0.24
62	C.Chiu	🇹🇼 CHINESE TAIPEI	101	82.2%	0.23
63	T.Liu	🇹🇼 CHINESE TAIPEI	101	82.2%	0.23
64	O.Laufer	🇨🇦 CANADA	88	81.8%	0.18
65	A.Vassileva	🇨🇦 CANADA	88	81.8%	0.18
66	R.Goor	🇳🇱 NETHERLANDS	77	81.8%	0.20
67	S.Goor	🇳🇱 NETHERLANDS	77	81.8%	0.20
68	J.Freeman	🇨🇦 CANADA	126	81.7%	0.22
69	B.Zhu	🇨🇦 CANADA	126	81.7%	0.22
70	L.Sanderson	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	131	81.7%	0.23
71	D.Winter	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	131	81.7%	0.23
72	Y.Liao	🇨🇳 CHINA	98	81.6%	0.21
73	Q.Sun	🇨🇳 CHINA	98	81.6%	0.21
74	T.Wong	🇭🇰 CHINA HONG KONG	103	81.6%	0.35
75	A.Aalto	🇫🇮 FINLAND	145	81.4%	0.23
76	T.Sammalisto	🇫🇮 FINLAND	145	81.4%	0.23
77	N.Davila	🇨🇱 CHILE	133	81.2%	0.22
78	H.Koh	🇸🇬 SINGAPORE	107	80.4%	0.29
79	S.Tan	🇸🇬 SINGAPORE	107	80.4%	0.29
80	X.Guan	🇸🇬 SINGAPORE	94	79.8%	0.26
81	J.Wu	🇸🇬 SINGAPORE	94	79.8%	0.26
82	K.Baliram Gurjar	🇮🇳 INDIA	117	79.5%	0.32
83	V.Kamal Patel	🇮🇳 INDIA	117	79.5%	0.32
84	K.Kotha	🇹🇭 THAILAND	126	79.4%	0.24
85	T.Sopak	🇹🇭 THAILAND	126	79.4%	0.24
86	F.Basoalto	🇨🇱 CHILE	131	79.4%	0.26
87	D.Lee	🇸🇬 SINGAPORE	87	79.3%	0.31
88	G.Yang	🇸🇬 SINGAPORE	87	79.3%	0.31
89	N.Yaninski	🇧🇬 BULGARIA	122	78.7%	0.26
90	K.Huang	🇺🇸 USA	84	78.6%	0.25
91	B.Xiao	🇺🇸 USA	84	78.6%	0.25
92	L.Kostova	🇧🇬 BULGARIA	65	78.5%	0.28
93	Y.Nishimura	🇯🇵 JAPAN	104	77.9%	0.28
94	T.Yamada	🇯🇵 JAPAN	104	77.9%	0.28
95	T.Pavlov	🇧🇬 BULGARIA	141	77.3%	0.26
96	V.Lamoureux	🇨🇦 CANADA	89	76.4%	0.25
97	J.Xiong	🇨🇦 CANADA	89	76.4%	0.25
98	V.Yotov	🇧🇬 BULGARIA	118	76.3%	0.27
99	C.Curran	🇳🇴 NORWAY	147	75.5%	0.29
100	A.Devik	🇳🇴 NORWAY	147	75.5%	0.29
101	R.Bhimanaik	🇮🇳 INDIA	80	73.8%	0.38
102	SELVARAJ DINESH BABU	🇮🇳 INDIA	80	73.8%	0.38
103	A.Kelehatile	BOTSWANA	113	73.5%	0.39
104	M.Mokgosi	BOTSWANA	113	73.5%	0.39
105	Y.Inoue	🇯🇵 JAPAN	103	72.8%	0.30
106	K.Takizawa	🇯🇵 JAPAN	103	72.8%	0.30
107	T.Hung	🇭🇰 CHINA HONG KONG	137	71.5%	0.41
108	I.Perez	🇨🇱 CHILE	66	71.2%	0.36
109	B.Perez	🇨🇱 CHILE	139	71.2%	0.38
110	B.Wong	🇭🇰 CHINA HONG KONG	91	70.3%	0.36
111	E.Vasquez	🇨🇱 CHILE	87	69.0%	0.41
112	R.Gaosegelwe	BOTSWANA	131	67.2%	0.48
113	T.Ofentse	BOTSWANA	131	67.2%	0.48
114	J.Keabitsa	BOTSWANA	69	46.4%	0.83
115	M.Waditsela	BOTSWANA	69	46.4%	0.83
116	S.Capobianco	🇮🇹 ITALY	15	93.3%	0.07
117	S.Anoyrkatis	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	57	91.2%	0.09
118	T.Anoyrkatis	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	57	91.2%	0.09
119	M.Lombardi	🇮🇹 ITALY	22	90.9%	0.09
120	K.Loy	🇭🇰 CHINA HONG KONG	57	87.7%	0.23
121	T.Bodin	🇸🇪 SWEDEN	35	82.9%	0.17
122	N.Pimpisan	🇹🇭 THAILAND	48	81.2%	0.33
123	R.Srisukha	🇹🇭 THAILAND	48	81.2%	0.33
124	F.Doermer	🇩🇪 GERMANY	49	75.5%	0.31
125	J.Lepper	🇩🇪 GERMANY	49	75.5%	0.31

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	I.Baniri	🇮🇱 ISRAEL	224	+0.10	+1.53	+1.63	·
2	N.Khutorsky	🇮🇱 ISRAEL	224	+0.10	+1.53	+1.63	·
3	J.Patreuha	🇵🇱 POLAND	196	-0.02	+1.16	+1.14	▲2
4	P.Patreuha	🇵🇱 POLAND	196	-0.02	+1.16	+1.14	▲2
5	G.Teneva	🇧🇬 BULGARIA	238	+0.03	+1.08	+1.11	▲2
6	S.Clementsson	🇸🇪 SWEDEN	280	+0.15	+0.91	+1.05	▲5
7	A.Sandin	🇸🇪 SWEDEN	266	+0.04	+1.01	+1.04	▲1
8	J.Freeman	🇨🇦 CANADA	238	+0.15	+0.87	+1.02	▲5
9	B.Zhu	🇨🇦 CANADA	238	+0.15	+0.87	+1.02	▲5
10	A.Boulin	🇫🇷 FRANCE	252	+0.08	+0.94	+1.02	▼1
11	T.Guillemin	🇫🇷 FRANCE	252	+0.08	+0.94	+1.02	▼1
12	G.Matatyahou	🇮🇱 ISRAEL	140	-0.45	+1.33	+0.88	▼9
13	Y.Sliwowicz	🇮🇱 ISRAEL	140	-0.45	+1.33	+0.88	▼9
14	P.Jasinski	🇵🇱 POLAND	182	+0.20	+0.68	+0.87	▲5
15	T.Kielbasa	🇵🇱 POLAND	182	+0.20	+0.68	+0.87	▲5
16	F.Porta	🇮🇹 ITALY	266	+0.03	+0.82	+0.85	▼1
17	N.Yaninski	🇧🇬 BULGARIA	280	-0.03	+0.82	+0.79	▼1
18	G.Donati	🇮🇹 ITALY	280	-0.02	+0.80	+0.78	▼1
19	P.Pabst	🇩🇪 GERMANY	266	+0.14	+0.64	+0.78	▲2
20	S.Van Oosten	🇩🇪 GERMANY	266	+0.14	+0.64	+0.78	▲2
21	T.Loonstein	🇮🇱 ISRAEL	224	+0.18	+0.45	+0.62	▲6
22	A.Zeitak	🇮🇱 ISRAEL	224	+0.18	+0.45	+0.62	▲6
23	C.Duffie	🇺🇸 USA	210	+0.17	+0.44	+0.61	▲7
24	Q.Wan	🇺🇸 USA	210	+0.17	+0.44	+0.61	▲7
25	M.Dufrene	🇫🇷 FRANCE	140	-0.30	+0.90	+0.60	▼13
26	M.Fragola	🇫🇷 FRANCE	196	-0.22	+0.76	+0.54	▼8
27	O.Nijssen	🇳🇱 NETHERLANDS	280	-0.06	+0.58	+0.53	▼4
28	T.Van De Paverd	🇳🇱 NETHERLANDS	280	-0.06	+0.58	+0.53	▼4
29	C.Mann	🇸🇪 SWEDEN	280	-0.03	+0.52	+0.49	▼3
30	C.Lee	🇹🇼 CHINESE TAIPEI	196	+0.10	+0.37	+0.48	▲4
31	S.Su	🇹🇼 CHINESE TAIPEI	196	+0.10	+0.37	+0.48	▲4
32	T.Pavlov	🇧🇬 BULGARIA	280	+0.04	+0.39	+0.43	▲1
33	V.Yotov	🇧🇬 BULGARIA	238	-0.12	+0.54	+0.42	▼8
34	R.Goor	🇳🇱 NETHERLANDS	182	+0.09	+0.32	+0.41	▲3
35	S.Goor	🇳🇱 NETHERLANDS	182	+0.09	+0.32	+0.41	▲3
36	G.Giubilo	🇮🇹 ITALY	252	-0.06	+0.44	+0.39	▼7
37	G.Giubilo	🇮🇹 ITALY	280	-0.02	+0.40	+0.38	▼5
38	E.Hansson	🇸🇪 SWEDEN	280	-0.01	+0.34	+0.34	▼2
39	M.Litterst	🇩🇪 GERMANY	224	-0.02	+0.29	+0.27	·
40	V.Otto	🇩🇪 GERMANY	224	-0.02	+0.29	+0.27	·
41	W.Cheung	🇭🇰 CHINA HONG KONG	210	-0.05	+0.18	+0.13	▲3
42	T.Fong	🇭🇰 CHINA HONG KONG	210	-0.05	+0.18	+0.13	▲3
43	B.Jiang	🇨🇳 CHINA	210	+0.08	+0.05	+0.12	▲13
44	R.Pan	🇨🇳 CHINA	210	+0.08	+0.05	+0.12	▲13
45	L.Sanderson	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	252	+0.09	+0.03	+0.12	▲13
46	D.Winter	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	252	+0.09	+0.03	+0.12	▲13
47	H.Huhtamaki	🇫🇮 FINLAND	294	+0.04	+0.05	+0.09	▲7
48	O.Koivu	🇫🇮 FINLAND	294	+0.04	+0.05	+0.09	▲7
49	K.Huang	🇺🇸 USA	182	-0.10	+0.17	+0.07	▼3
50	B.Xiao	🇺🇸 USA	182	-0.10	+0.17	+0.07	▼3
51	Y.Liao	🇨🇳 CHINA	196	+0.04	-0.07	-0.03	▲15
52	Q.Sun	🇨🇳 CHINA	196	+0.04	-0.07	-0.03	▲15
53	L.Kostova	🇧🇬 BULGARIA	140	-0.26	+0.23	-0.03	▼10
54	D.Goudzwaard	🇳🇱 NETHERLANDS	126	-0.16	+0.09	-0.07	▼4
55	T.Westerveld	🇳🇱 NETHERLANDS	126	-0.16	+0.09	-0.07	▼4
56	L.Bellicaud	🇫🇷 FRANCE	196	+0.07	-0.15	-0.08	▲13
57	C.Chiu	🇹🇼 CHINESE TAIPEI	196	-0.14	+0.06	-0.08	▼5
58	T.Liu	🇹🇼 CHINESE TAIPEI	196	-0.14	+0.06	-0.08	▼5
59	B.Wong	🇭🇰 CHINA HONG KONG	168	+0.01	-0.11	-0.10	▲9
60	C.Wei	🇹🇼 CHINESE TAIPEI	196	-0.08	-0.05	-0.13	▲2
61	C.Wei	🇹🇼 CHINESE TAIPEI	196	-0.08	-0.05	-0.13	▲2
62	R.Jeng	🇺🇸 USA	196	-0.09	-0.06	-0.15	▲2
63	S.Youngquist	🇺🇸 USA	196	-0.09	-0.06	-0.15	▲2
64	K.Cichy	🇵🇱 POLAND	210	-0.43	+0.26	-0.17	▼23
65	K.Kopka	🇵🇱 POLAND	210	-0.43	+0.26	-0.17	▼23
66	Z.Cheng	🇨🇳 CHINA	182	-0.35	+0.13	-0.22	▼18
67	X.Wang	🇨🇳 CHINA	182	-0.35	+0.13	-0.22	▼18
68	X.Guan	🇸🇬 SINGAPORE	182	+0.18	-0.40	-0.22	▲16
69	J.Wu	🇸🇬 SINGAPORE	182	+0.18	-0.40	-0.22	▲16
70	F.Basoalto	🇨🇱 CHILE	294	+0.11	-0.34	-0.23	▲2
71	H.Koh	🇸🇬 SINGAPORE	210	+0.11	-0.34	-0.23	▲2
72	S.Tan	🇸🇬 SINGAPORE	210	+0.11	-0.34	-0.23	▲2
73	D.Lee	🇸🇬 SINGAPORE	196	-0.20	-0.04	-0.23	▼13
74	G.Yang	🇸🇬 SINGAPORE	196	-0.20	-0.04	-0.23	▼13
75	N.Davila	🇨🇱 CHILE	294	+0.03	-0.28	-0.25	▼4
76	R.Basler	🇫🇷 FRANCE	140	+0.11	-0.37	-0.26	▲1
77	T.Wong	🇭🇰 CHINA HONG KONG	210	+0.16	-0.42	-0.26	▲9
78	T.Hung	🇭🇰 CHINA HONG KONG	266	-0.04	-0.25	-0.29	▼8
79	C.Curran	🇳🇴 NORWAY	294	+0.09	-0.40	-0.31	▲3
80	A.Devik	🇳🇴 NORWAY	294	+0.09	-0.40	-0.31	▲3
81	H.Madden	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	224	+0.14	-0.51	-0.37	▲13
82	K.Panchagnula	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	224	+0.14	-0.51	-0.37	▲13
83	S.Helgeby	🇳🇴 NORWAY	294	+0.01	-0.38	-0.37	▼3
84	M.Lund	🇳🇴 NORWAY	294	+0.01	-0.38	-0.37	▼3
85	K.Baliram Gurjar	🇮🇳 INDIA	224	-0.01	-0.37	-0.39	▼7
86	V.Kamal Patel	🇮🇳 INDIA	224	-0.01	-0.37	-0.39	▼7
87	B.Perez	🇨🇱 CHILE	280	+0.05	-0.46	-0.40	▲4
88	K.Kotha	🇹🇭 THAILAND	238	+0.03	-0.45	-0.42	▲1
89	T.Sopak	🇹🇭 THAILAND	238	+0.03	-0.45	-0.42	▲1
90	Y.Inoue	🇯🇵 JAPAN	196	+0.30	-0.73	-0.42	▲13
91	K.Takizawa	🇯🇵 JAPAN	196	+0.30	-0.73	-0.42	▲13
92	P.Kuysuwan	🇹🇭 THAILAND	252	-0.11	-0.34	-0.45	▼17
93	K.Sianglio	🇹🇭 THAILAND	252	-0.11	-0.34	-0.45	▼17
94	E.Vasquez	🇨🇱 CHILE	182	+0.06	-0.54	-0.48	▲4
95	A.Aalto	🇫🇮 FINLAND	294	+0.01	-0.56	-0.56	▲4
96	T.Sammalisto	🇫🇮 FINLAND	294	+0.01	-0.56	-0.56	▲4
97	O.Laufer	🇨🇦 CANADA	182	-0.13	-0.44	-0.57	▼10
98	A.Vassileva	🇨🇦 CANADA	182	-0.13	-0.44	-0.57	▼10
99	V.Lamoureux	🇨🇦 CANADA	168	-0.08	-0.50	-0.58	▼7
100	J.Xiong	🇨🇦 CANADA	168	-0.08	-0.50	-0.58	▼7
101	GOKUL S	🇮🇳 INDIA	168	+0.12	-0.71	-0.59	·
102	R.Vadumangudi Balasundaram	🇮🇳 INDIA	168	+0.12	-0.71	-0.59	·
103	K.Jindai	🇯🇵 JAPAN	196	-0.07	-0.54	-0.61	▼7
104	M.Sakaguchi	🇯🇵 JAPAN	196	-0.07	-0.54	-0.61	▼7
105	Y.Nishimura	🇯🇵 JAPAN	196	+0.11	-0.88	-0.76	·
106	T.Yamada	🇯🇵 JAPAN	196	+0.11	-0.88	-0.76	·
107	R.Bhimanaik	🇮🇳 INDIA	196	+0.08	-0.96	-0.89	·
108	SELVARAJ DINESH BABU	🇮🇳 INDIA	196	+0.08	-0.96	-0.89	·
109	I.Perez	🇨🇱 CHILE	126	-0.07	-1.10	-1.16	·
110	A.Kelehatile	BOTSWANA	238	+0.06	-1.89	-1.83	·
111	M.Mokgosi	BOTSWANA	238	+0.06	-1.89	-1.83	·
112	R.Gaosegelwe	BOTSWANA	224	+0.07	-2.23	-2.17	·
113	T.Ofentse	BOTSWANA	224	+0.07	-2.23	-2.17	·
114	J.Keabitsa	BOTSWANA	126	+0.15	-3.37	-3.22	·
115	M.Waditsela	BOTSWANA	126	+0.15	-3.37	-3.22	·

Stages

Statistics