Salsomaggiore 2016 — 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.Bojarski	🇵🇱 POLAND	154	+1.28	+197.0
2	M.Chodacki	🇵🇱 POLAND	154	+1.28	+197.0
3	T.Grude	🇳🇴 NORWAY	294	+1.05	+309.0
4	A.Gundersen	🇳🇴 NORWAY	280	+0.95	+265.0
5	K.Chan	🇸🇬 SINGAPORE	140	+0.94	+132.0
6	S.Li	🇸🇬 SINGAPORE	140	+0.94	+132.0
7	A.Elselehdar	🇪🇬 EGYPT	238	+0.91	+217.0
8	M.Tharwat	🇪🇬 EGYPT	238	+0.91	+217.0
9	Z.Brescoll	🇺🇸 USA1	224	+0.82	+184.0
10	A.Kaplan	🇺🇸 USA1	224	+0.82	+184.0
11	C.Westerbeek	🇳🇱 NETHERLANDS	196	+0.82	+161.0
12	R.Westerbeek	🇳🇱 NETHERLANDS	196	+0.82	+161.0
13	S.Ekenberg	🇸🇪 SWEDEN	210	+0.81	+171.0
14	S.Hult	🇸🇪 SWEDEN	210	+0.81	+171.0
15	G.Donati	🇮🇹 ITALY	280	+0.75	+211.0
16	G.Percario	🇮🇹 ITALY	280	+0.75	+211.0
17	S.Sun	🇨🇳 CHINA	252	+0.74	+186.0
18	H.Wei	🇨🇳 CHINA	252	+0.74	+186.0
19	M.Klukowski	🇵🇱 POLAND	210	+0.67	+140.0
20	J.Zmuda	🇵🇱 POLAND	210	+0.67	+140.0
21	D.Braun	🇦🇺 AUSTRALIA	252	+0.64	+162.0
22	N.Edgtton	🇦🇺 AUSTRALIA	252	+0.64	+162.0
23	Y.Wiseman	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	168	+0.64	+107.0
24	J.Etchepareborda	🇦🇷 ARGENTINA	266	+0.53	+142.0
25	S.Rueda	🇦🇷 ARGENTINA	266	+0.53	+142.0
26	A.Calmanovici	🇮🇹 ITALY	154	+0.53	+81.0
27	R.Sau	🇮🇹 ITALY	154	+0.53	+81.0
28	A.Khandelwal	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	168	+0.46	+77.0
29	C.Deheeger	🇫🇷 FRANCE	224	+0.46	+102.0
30	A.Rouanet-Labe	🇫🇷 FRANCE	224	+0.46	+102.0
31	R.Chan	🇸🇬 SINGAPORE	224	+0.40	+89.0
32	P.Haw	🇸🇬 SINGAPORE	224	+0.40	+89.0
33	B.Kristensen	🇺🇸 USA1	196	+0.38	+75.0
34	K.Rosenberg	🇺🇸 USA1	196	+0.38	+75.0
35	M.Rimstedt	🇸🇪 SWEDEN	168	+0.38	+63.0
36	O.Rimstedt	🇸🇪 SWEDEN	168	+0.38	+63.0
37	V.Lamoureux	🇨🇦 CANADA	224	+0.37	+82.0
38	X.Chan	🇭🇰 CHINA HONG KONG	182	+0.35	+64.0
39	V.Wan	🇭🇰 CHINA HONG KONG	182	+0.35	+64.0
40	A.Tebha	🇺🇸 USA2	280	+0.35	+98.0
41	T.Polak	🇳🇱 NETHERLANDS	182	+0.35	+63.0
42	T.Van Overbeeke	🇳🇱 NETHERLANDS	182	+0.35	+63.0
43	M.Gronkvist	🇸🇪 SWEDEN	210	+0.33	+70.0
44	D.Gullberg	🇸🇪 SWEDEN	210	+0.33	+70.0
45	C.Konkoly	🇭🇺 HUNGARY	280	+0.33	+93.0
46	F.Charignon	🇫🇷 FRANCE	154	+0.32	+50.0
47	C.Laloubeyre	🇫🇷 FRANCE	154	+0.32	+50.0
48	M.Crusizio	🇦🇷 ARGENTINA	294	+0.31	+91.0
49	R.Garcia Da Rosa	🇦🇷 ARGENTINA	294	+0.31	+91.0
50	V.Fagerlund	🇫🇮 FINLAND	294	+0.30	+87.0
51	M.Myllaeri	🇫🇮 FINLAND	294	+0.30	+87.0
52	X.Feng	🇨🇦 CANADA	224	+0.27	+61.0
53	M.Vagi	🇭🇺 HUNGARY	224	+0.22	+50.0
54	A.Edgtton	🇦🇺 AUSTRALIA	196	+0.20	+40.0
55	M.Henbest	🇦🇺 AUSTRALIA	196	+0.20	+40.0
56	V.Kiljan	🇳🇱 NETHERLANDS	210	+0.17	+36.0
57	L.Tijssen	🇳🇱 NETHERLANDS	210	+0.17	+36.0
58	C.Jolly	🇺🇸 USA2	238	+0.16	+39.0
59	C.Bakke	🇳🇴 NORWAY	294	+0.16	+48.0
60	O.Kriegel	🇺🇸 USA2	280	+0.16	+44.0
61	W.Kazmierczak	🇵🇱 POLAND	224	+0.14	+31.0
62	K.Nowak	🇵🇱 POLAND	224	+0.14	+31.0
63	J.Kaye	🇺🇸 USA2	196	+0.12	+24.0
64	H.Eide	🇳🇴 NORWAY	280	+0.11	+31.0
65	B.Norton	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	140	+0.10	+14.0
66	G.Tang	🇭🇰 CHINA HONG KONG	210	+0.08	+17.0
67	C.Wai	🇭🇰 CHINA HONG KONG	210	+0.08	+17.0
68	M.Zhou	🇸🇬 SINGAPORE	224	+0.06	+13.0
69	X.Zhu	🇸🇬 SINGAPORE	224	+0.06	+13.0
70	A.Roberts	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	196	+0.06	+11.0
71	B.Szirmay-Kalos	🇭🇺 HUNGARY	294	+0.05	+14.0
72	B.Fischer	🇭🇺 HUNGARY	294	-0.07	-22.0
73	S.Shah	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	252	-0.10	-26.0
74	A.Grossack	🇺🇸 USA1	168	-0.11	-19.0
75	Z.Grossack	🇺🇸 USA1	168	-0.11	-19.0
76	G.Herman	🇺🇸 USA2	182	-0.15	-27.0
77	J.Bernard	🇫🇷 FRANCE	210	-0.16	-33.0
78	B.Combescure	🇫🇷 FRANCE	210	-0.16	-33.0
79	Z.Tang	🇨🇳 CHINA	238	-0.16	-39.0
80	K.Kobayashi	🇯🇵 JAPAN	196	-0.25	-49.0
81	R.Yamada	🇯🇵 JAPAN	196	-0.25	-49.0
82	Y.Tao	🇨🇳 CHINA	252	-0.32	-81.0
83	M.Chavarria	🇮🇹 ITALY	154	-0.44	-67.0
84	E.Montanelli	🇮🇹 ITALY	154	-0.44	-67.0
85	F.Chan	🇭🇰 CHINA HONG KONG	196	-0.44	-86.0
86	M.Ng	🇭🇰 CHINA HONG KONG	196	-0.44	-86.0
87	RIPON RASHEDUL HASAN	🇧🇩 BANGLADESH	294	-0.46	-136.0
88	B.Saha	🇧🇩 BANGLADESH	294	-0.46	-136.0
89	N.Katagiri	🇯🇵 JAPAN	182	-0.52	-95.0
90	K.Tsuruoka	🇯🇵 JAPAN	182	-0.52	-95.0
91	T.Kikuchi	🇯🇵 JAPAN	210	-0.54	-114.0
92	H.Tanabe	🇯🇵 JAPAN	210	-0.54	-114.0
93	J.Valenzuela Rivera	🇨🇴 COLOMBIA	280	-0.54	-152.0
94	A.Askari	🇨🇦 CANADA	182	-0.55	-101.0
95	S.Macdonald	🇨🇦 CANADA	182	-0.55	-101.0
96	J.Thompson	🇦🇺 AUSTRALIA	140	-0.57	-80.0
97	S.Williams	🇦🇺 AUSTRALIA	140	-0.57	-80.0
98	A.Aalto	🇫🇮 FINLAND	294	-0.58	-171.0
99	O.Koivu	🇫🇮 FINLAND	294	-0.58	-171.0
100	J.Cuervo Lopera	🇨🇴 COLOMBIA	280	-0.71	-198.0
101	M.Litterst	🇩🇪 GERMANY	252	-0.71	-180.0
102	F.Illingworth	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	252	-0.73	-185.0
103	V.Otto	🇩🇪 GERMANY	252	-0.78	-197.0
104	M.Islam	🇧🇩 BANGLADESH	294	-0.98	-288.0
105	R.Siddiqui	🇧🇩 BANGLADESH	294	-0.98	-288.0
106	N.Correa Laguna	🇨🇴 COLOMBIA	294	-1.02	-300.0
107	J.Zamora Villamizar	🇨🇴 COLOMBIA	280	-1.11	-310.0
108	D.Cozart	🇨🇦 CANADA	196	-1.36	-266.0
109	J.Tsang	🇨🇦 CANADA	168	-1.51	-253.0
110	F.Nordmann	🇩🇪 GERMANY	238	-1.53	-365.0
111	O.Shaheen	🇪🇬 EGYPT	126	-1.57	-198.0
112	M.Shouman	🇪🇬 EGYPT	126	-1.57	-198.0
113	J.Pieper	🇩🇪 GERMANY	168	-1.84	-309.0
114	K.Ashraf	🇪🇬 EGYPT	224	-1.99	-445.0
115	A.Naser	🇪🇬 EGYPT	224	-1.99	-445.0
116	F.Hahn	🇩🇪 GERMANY	266	-2.09	-557.0
117	M.Scheie	🇳🇴 NORWAY	28	+2.18	+61.0
118	Y.Chen	🇨🇳 CHINA	70	+1.94	+136.0
119	S.Liu	🇨🇳 CHINA	112	+1.14	+128.0
120	D.Tubak	🇭🇺 HUNGARY	84	-0.42	-35.0
121	M.Maglio	🇦🇷 ARGENTINA	28	-1.14	-32.0
122	F.Von Brudersdorff	🇦🇷 ARGENTINA	28	-1.14	-32.0
123	D.Cardenas Cardenas	🇨🇴 COLOMBIA	42	-2.67	-112.0

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	H.Wei	🇨🇳 CHINA	52	92.3%	0.10
2	J.Kaye	🇺🇸 USA2	60	91.7%	0.12
3	M.Ng	🇭🇰 CHINA HONG KONG	42	90.5%	0.10
4	K.Rosenberg	🇺🇸 USA1	59	89.8%	0.15
5	J.Zmuda	🇵🇱 POLAND	49	87.8%	0.18
6	G.Donati	🇮🇹 ITALY	65	87.7%	0.15
7	E.Montanelli	🇮🇹 ITALY	40	87.5%	0.15
8	A.Roberts	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	48	87.5%	0.17
9	K.Tsuruoka	🇯🇵 JAPAN	37	86.5%	0.14
10	A.Rouanet-Labe	🇫🇷 FRANCE	44	86.4%	0.18
11	B.Combescure	🇫🇷 FRANCE	57	86.0%	0.19
12	J.Cuervo Lopera	🇨🇴 COLOMBIA	61	85.2%	0.16
13	V.Lamoureux	🇨🇦 CANADA	59	84.7%	0.17
14	RIPON RASHEDUL HASAN	🇧🇩 BANGLADESH	77	84.4%	0.18
15	Z.Brescoll	🇺🇸 USA1	51	84.3%	0.16
16	C.Deheeger	🇫🇷 FRANCE	57	84.2%	0.16
17	T.Polak	🇳🇱 NETHERLANDS	44	84.1%	0.18
18	G.Herman	🇺🇸 USA2	49	83.7%	0.16
19	F.Nordmann	🇩🇪 GERMANY	61	83.6%	0.20
20	S.Li	🇸🇬 SINGAPORE	36	83.3%	0.19
21	B.Kristensen	🇺🇸 USA1	36	83.3%	0.25
22	G.Percario	🇮🇹 ITALY	59	83.1%	0.17
23	L.Tijssen	🇳🇱 NETHERLANDS	47	83.0%	0.19
24	J.Tsang	🇨🇦 CANADA	35	82.9%	0.17
25	R.Siddiqui	🇧🇩 BANGLADESH	76	82.9%	0.20
26	C.Konkoly	🇭🇺 HUNGARY	64	82.8%	0.19
27	K.Nowak	🇵🇱 POLAND	46	82.6%	0.17
28	C.Bakke	🇳🇴 NORWAY	73	82.2%	0.19
29	A.Calmanovici	🇮🇹 ITALY	45	82.2%	0.24
30	H.Tanabe	🇯🇵 JAPAN	45	82.2%	0.24
31	O.Koivu	🇫🇮 FINLAND	78	82.1%	0.20
32	J.Etchepareborda	🇦🇷 ARGENTINA	67	82.1%	0.27
33	S.Hult	🇸🇪 SWEDEN	55	81.8%	0.18
34	M.Rimstedt	🇸🇪 SWEDEN	48	81.2%	0.23
35	A.Tebha	🇺🇸 USA2	69	81.2%	0.26
36	X.Zhu	🇸🇬 SINGAPORE	48	81.2%	0.29
37	B.Norton	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	37	81.1%	0.19
38	S.Shah	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	53	81.1%	0.23
39	J.Pieper	🇩🇪 GERMANY	47	80.9%	0.23
40	F.Chan	🇭🇰 CHINA HONG KONG	47	80.9%	0.26
41	Z.Tang	🇨🇳 CHINA	73	80.8%	0.22
42	F.Illingworth	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	73	80.8%	0.26
43	B.Fischer	🇭🇺 HUNGARY	73	80.8%	0.30
44	A.Gundersen	🇳🇴 NORWAY	67	80.6%	0.22
45	R.Garcia Da Rosa	🇦🇷 ARGENTINA	66	80.3%	0.24
46	R.Chan	🇸🇬 SINGAPORE	65	80.0%	0.21
47	A.Aalto	🇫🇮 FINLAND	75	80.0%	0.24
48	K.Kobayashi	🇯🇵 JAPAN	54	79.6%	0.26
49	A.Askari	🇨🇦 CANADA	53	79.2%	0.21
50	M.Myllaeri	🇫🇮 FINLAND	86	79.1%	0.26
51	T.Grude	🇳🇴 NORWAY	81	79.0%	0.25
52	C.Westerbeek	🇳🇱 NETHERLANDS	57	78.9%	0.25
53	N.Correa Laguna	🇨🇴 COLOMBIA	76	78.9%	0.25
54	V.Kiljan	🇳🇱 NETHERLANDS	52	78.8%	0.23
55	X.Feng	🇨🇦 CANADA	52	78.8%	0.27
56	A.Khandelwal	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	42	78.6%	0.21
57	V.Wan	🇭🇰 CHINA HONG KONG	42	78.6%	0.24
58	J.Bernard	🇫🇷 FRANCE	42	78.6%	0.26
59	D.Braun	🇦🇺 AUSTRALIA	65	78.5%	0.25
60	M.Chodacki	🇵🇱 POLAND	37	78.4%	0.22
61	M.Islam	🇧🇩 BANGLADESH	73	78.1%	0.26
62	A.Grossack	🇺🇸 USA1	32	78.1%	0.28
63	X.Chan	🇭🇰 CHINA HONG KONG	50	78.0%	0.22
64	M.Henbest	🇦🇺 AUSTRALIA	41	78.0%	0.22
65	S.Sun	🇨🇳 CHINA	50	78.0%	0.30
66	B.Szirmay-Kalos	🇭🇺 HUNGARY	68	77.9%	0.32
67	M.Litterst	🇩🇪 GERMANY	77	77.9%	0.36
68	F.Hahn	🇩🇪 GERMANY	72	77.8%	0.26
69	W.Kazmierczak	🇵🇱 POLAND	45	77.8%	0.27
70	A.Edgtton	🇦🇺 AUSTRALIA	54	77.8%	0.28
71	C.Wai	🇭🇰 CHINA HONG KONG	54	77.8%	0.28
72	O.Shaheen	🇪🇬 EGYPT	27	77.8%	0.30
73	M.Klukowski	🇵🇱 POLAND	49	77.6%	0.31
74	T.Van Overbeeke	🇳🇱 NETHERLANDS	40	77.5%	0.28
75	M.Gronkvist	🇸🇪 SWEDEN	53	77.4%	0.26
76	A.Kaplan	🇺🇸 USA1	62	77.4%	0.27
77	A.Elselehdar	🇪🇬 EGYPT	66	77.3%	0.24
78	M.Chavarria	🇮🇹 ITALY	35	77.1%	0.31
79	N.Katagiri	🇯🇵 JAPAN	47	76.6%	0.28
80	P.Haw	🇸🇬 SINGAPORE	51	76.5%	0.26
81	S.Ekenberg	🇸🇪 SWEDEN	55	76.4%	0.27
82	C.Jolly	🇺🇸 USA2	59	76.3%	0.25
83	R.Sau	🇮🇹 ITALY	38	76.3%	0.29
84	M.Tharwat	🇪🇬 EGYPT	63	76.2%	0.27
85	M.Crusizio	🇦🇷 ARGENTINA	82	75.6%	0.28
86	V.Fagerlund	🇫🇮 FINLAND	69	75.4%	0.26
87	Y.Tao	🇨🇳 CHINA	57	75.4%	0.28
88	M.Bojarski	🇵🇱 POLAND	44	75.0%	0.27
89	N.Edgtton	🇦🇺 AUSTRALIA	64	75.0%	0.31
90	V.Otto	🇩🇪 GERMANY	67	74.6%	0.30
91	H.Eide	🇳🇴 NORWAY	63	74.6%	0.35
92	K.Ashraf	🇪🇬 EGYPT	47	74.5%	0.38
93	J.Thompson	🇦🇺 AUSTRALIA	39	74.4%	0.26
94	R.Yamada	🇯🇵 JAPAN	50	74.0%	0.26
95	M.Vagi	🇭🇺 HUNGARY	57	73.7%	0.32
96	B.Saha	🇧🇩 BANGLADESH	66	72.7%	0.32
97	R.Westerbeek	🇳🇱 NETHERLANDS	47	72.3%	0.34
98	K.Chan	🇸🇬 SINGAPORE	36	72.2%	0.31
99	J.Valenzuela Rivera	🇨🇴 COLOMBIA	78	71.8%	0.31
100	A.Naser	🇪🇬 EGYPT	60	71.7%	0.30
101	S.Macdonald	🇨🇦 CANADA	46	71.7%	0.33
102	O.Kriegel	🇺🇸 USA2	74	71.6%	0.35
103	D.Cozart	🇨🇦 CANADA	49	71.4%	0.35
104	S.Rueda	🇦🇷 ARGENTINA	65	70.8%	0.37
105	Z.Grossack	🇺🇸 USA1	37	70.3%	0.32
106	C.Laloubeyre	🇫🇷 FRANCE	33	69.7%	0.33
107	S.Williams	🇦🇺 AUSTRALIA	39	69.2%	0.46
108	Y.Wiseman	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	48	68.8%	0.35
109	G.Tang	🇭🇰 CHINA HONG KONG	48	68.8%	0.38
110	T.Kikuchi	🇯🇵 JAPAN	60	68.3%	0.42
111	F.Charignon	🇫🇷 FRANCE	50	68.0%	0.38
112	M.Shouman	🇪🇬 EGYPT	32	65.6%	0.38
113	J.Zamora Villamizar	🇨🇴 COLOMBIA	78	65.4%	0.40
114	D.Gullberg	🇸🇪 SWEDEN	48	64.6%	0.52
115	O.Rimstedt	🇸🇪 SWEDEN	42	64.3%	0.48
116	M.Zhou	🇸🇬 SINGAPORE	53	62.3%	0.53
117	F.Von Brudersdorff	🇦🇷 ARGENTINA	6	100.0%	0.00
118	D.Cardenas Cardenas	🇨🇴 COLOMBIA	16	93.8%	0.06
119	D.Tubak	🇭🇺 HUNGARY	24	87.5%	0.12
120	Y.Chen	🇨🇳 CHINA	19	84.2%	0.21
121	S.Liu	🇨🇳 CHINA	40	77.5%	0.25
122	M.Scheie	🇳🇴 NORWAY	4	75.0%	0.25
123	M.Maglio	🇦🇷 ARGENTINA	4	50.0%	0.50

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	Z.Grossack	🇺🇸 USA1	59	88.1%	0.12
2	Z.Brescoll	🇺🇸 USA1	53	86.8%	0.13
3	C.Bakke	🇳🇴 NORWAY	78	85.9%	0.14
4	X.Feng	🇨🇦 CANADA	49	85.7%	0.22
5	C.Laloubeyre	🇫🇷 FRANCE	48	85.4%	0.17
6	A.Grossack	🇺🇸 USA1	40	85.0%	0.20
7	B.Kristensen	🇺🇸 USA1	52	84.6%	0.19
8	S.Williams	🇦🇺 AUSTRALIA	32	84.4%	0.19
9	C.Westerbeek	🇳🇱 NETHERLANDS	44	84.1%	0.18
10	V.Wan	🇭🇰 CHINA HONG KONG	49	83.7%	0.20
11	P.Haw	🇸🇬 SINGAPORE	49	83.7%	0.20
12	G.Donati	🇮🇹 ITALY	77	83.1%	0.21
13	Y.Wiseman	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	39	82.1%	0.20
14	M.Chavarria	🇮🇹 ITALY	44	81.8%	0.20
15	M.Gronkvist	🇸🇪 SWEDEN	49	81.6%	0.18
16	O.Kriegel	🇺🇸 USA2	70	81.4%	0.21
17	O.Shaheen	🇪🇬 EGYPT	37	81.1%	0.24
18	M.Henbest	🇦🇺 AUSTRALIA	47	80.9%	0.28
19	S.Li	🇸🇬 SINGAPORE	36	80.6%	0.25
20	B.Combescure	🇫🇷 FRANCE	62	80.6%	0.27
21	M.Rimstedt	🇸🇪 SWEDEN	41	80.5%	0.24
22	M.Klukowski	🇵🇱 POLAND	61	80.3%	0.26
23	L.Tijssen	🇳🇱 NETHERLANDS	58	79.3%	0.21
24	A.Edgtton	🇦🇺 AUSTRALIA	53	79.2%	0.23
25	M.Ng	🇭🇰 CHINA HONG KONG	53	79.2%	0.30
26	A.Khandelwal	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	42	78.6%	0.26
27	N.Edgtton	🇦🇺 AUSTRALIA	65	78.5%	0.21
28	J.Zmuda	🇵🇱 POLAND	51	78.4%	0.26
29	O.Rimstedt	🇸🇪 SWEDEN	37	78.4%	0.32
30	A.Elselehdar	🇪🇬 EGYPT	50	78.0%	0.26
31	M.Tharwat	🇪🇬 EGYPT	59	78.0%	0.34
32	A.Gundersen	🇳🇴 NORWAY	77	77.9%	0.27
33	B.Norton	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	31	77.4%	0.23
34	M.Crusizio	🇦🇷 ARGENTINA	75	77.3%	0.29
35	R.Westerbeek	🇳🇱 NETHERLANDS	48	77.1%	0.27
36	J.Kaye	🇺🇸 USA2	30	76.7%	0.30
37	B.Fischer	🇭🇺 HUNGARY	76	76.3%	0.28
38	S.Sun	🇨🇳 CHINA	84	76.2%	0.25
39	T.Grude	🇳🇴 NORWAY	67	76.1%	0.28
40	B.Szirmay-Kalos	🇭🇺 HUNGARY	71	76.1%	0.31
41	A.Tebha	🇺🇸 USA2	67	76.1%	0.31
42	D.Braun	🇦🇺 AUSTRALIA	58	75.9%	0.28
43	M.Myllaeri	🇫🇮 FINLAND	66	75.8%	0.36
44	H.Wei	🇨🇳 CHINA	65	75.4%	0.26
45	S.Ekenberg	🇸🇪 SWEDEN	57	75.4%	0.32
46	G.Tang	🇭🇰 CHINA HONG KONG	57	75.4%	0.32
47	R.Yamada	🇯🇵 JAPAN	44	75.0%	0.32
48	R.Chan	🇸🇬 SINGAPORE	59	74.6%	0.32
49	F.Illingworth	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	63	74.6%	0.38
50	M.Bojarski	🇵🇱 POLAND	35	74.3%	0.37
51	R.Sau	🇮🇹 ITALY	35	74.3%	0.40
52	K.Chan	🇸🇬 SINGAPORE	31	74.2%	0.29
53	Y.Tao	🇨🇳 CHINA	62	74.2%	0.31
54	B.Saha	🇧🇩 BANGLADESH	77	74.0%	0.39
55	C.Jolly	🇺🇸 USA2	69	73.9%	0.32
56	S.Shah	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	61	73.8%	0.41
57	A.Aalto	🇫🇮 FINLAND	61	73.8%	0.41
58	J.Bernard	🇫🇷 FRANCE	49	73.5%	0.39
59	D.Gullberg	🇸🇪 SWEDEN	60	73.3%	0.30
60	V.Kiljan	🇳🇱 NETHERLANDS	51	72.5%	0.37
61	C.Deheeger	🇫🇷 FRANCE	54	72.2%	0.33
62	D.Cozart	🇨🇦 CANADA	50	72.0%	0.36
63	F.Nordmann	🇩🇪 GERMANY	50	72.0%	0.44
64	J.Etchepareborda	🇦🇷 ARGENTINA	64	71.9%	0.36
65	G.Percario	🇮🇹 ITALY	78	71.8%	0.33
66	Z.Tang	🇨🇳 CHINA	46	71.7%	0.33
67	S.Hult	🇸🇪 SWEDEN	42	71.4%	0.31
68	K.Tsuruoka	🇯🇵 JAPAN	49	71.4%	0.35
69	T.Kikuchi	🇯🇵 JAPAN	49	71.4%	0.35
70	T.Van Overbeeke	🇳🇱 NETHERLANDS	56	71.4%	0.38
71	K.Nowak	🇵🇱 POLAND	52	71.2%	0.31
72	W.Kazmierczak	🇵🇱 POLAND	80	71.2%	0.36
73	V.Fagerlund	🇫🇮 FINLAND	73	71.2%	0.37
74	H.Eide	🇳🇴 NORWAY	73	71.2%	0.38
75	O.Koivu	🇫🇮 FINLAND	80	71.2%	0.39
76	M.Chodacki	🇵🇱 POLAND	38	71.1%	0.40
77	X.Zhu	🇸🇬 SINGAPORE	55	70.9%	0.31
78	G.Herman	🇺🇸 USA2	41	70.7%	0.32
79	A.Kaplan	🇺🇸 USA1	58	70.7%	0.38
80	M.Zhou	🇸🇬 SINGAPORE	68	70.6%	0.38
81	A.Rouanet-Labe	🇫🇷 FRANCE	68	70.6%	0.38
82	A.Roberts	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	50	70.0%	0.32
83	M.Shouman	🇪🇬 EGYPT	30	70.0%	0.43
84	RIPON RASHEDUL HASAN	🇧🇩 BANGLADESH	73	69.9%	0.37
85	J.Cuervo Lopera	🇨🇴 COLOMBIA	66	69.7%	0.38
86	A.Calmanovici	🇮🇹 ITALY	36	69.4%	0.36
87	C.Konkoly	🇭🇺 HUNGARY	75	69.3%	0.44
88	C.Wai	🇭🇰 CHINA HONG KONG	51	68.6%	0.39
89	F.Chan	🇭🇰 CHINA HONG KONG	54	68.5%	0.39
90	A.Naser	🇪🇬 EGYPT	66	68.2%	0.58
91	K.Rosenberg	🇺🇸 USA1	49	67.3%	0.39
92	V.Lamoureux	🇨🇦 CANADA	67	67.2%	0.43
93	M.Islam	🇧🇩 BANGLADESH	85	67.1%	0.46
94	J.Thompson	🇦🇺 AUSTRALIA	30	66.7%	0.40
95	J.Valenzuela Rivera	🇨🇴 COLOMBIA	54	66.7%	0.41
96	J.Zamora Villamizar	🇨🇴 COLOMBIA	75	66.7%	0.45
97	R.Garcia Da Rosa	🇦🇷 ARGENTINA	71	66.2%	0.42
98	S.Macdonald	🇨🇦 CANADA	38	65.8%	0.45
99	M.Litterst	🇩🇪 GERMANY	67	65.7%	0.37
100	S.Rueda	🇦🇷 ARGENTINA	70	65.7%	0.44
101	H.Tanabe	🇯🇵 JAPAN	54	64.8%	0.46
102	F.Hahn	🇩🇪 GERMANY	68	64.7%	0.46
103	A.Askari	🇨🇦 CANADA	45	64.4%	0.42
104	V.Otto	🇩🇪 GERMANY	42	64.3%	0.57
105	K.Kobayashi	🇯🇵 JAPAN	47	63.8%	0.43
106	F.Charignon	🇫🇷 FRANCE	22	63.6%	0.55
107	M.Vagi	🇭🇺 HUNGARY	60	61.7%	0.48
108	N.Katagiri	🇯🇵 JAPAN	48	60.4%	0.48
109	N.Correa Laguna	🇨🇴 COLOMBIA	75	58.7%	0.56
110	R.Siddiqui	🇧🇩 BANGLADESH	60	58.3%	0.67
111	J.Tsang	🇨🇦 CANADA	43	58.1%	0.54
112	K.Ashraf	🇪🇬 EGYPT	50	58.0%	0.64
113	T.Polak	🇳🇱 NETHERLANDS	42	57.1%	0.52
114	X.Chan	🇭🇰 CHINA HONG KONG	41	56.1%	0.49
115	J.Pieper	🇩🇪 GERMANY	33	51.5%	0.70
116	E.Montanelli	🇮🇹 ITALY	35	51.4%	0.66
117	M.Maglio	🇦🇷 ARGENTINA	7	85.7%	0.14
118	D.Cardenas Cardenas	🇨🇴 COLOMBIA	9	77.8%	0.33
119	S.Liu	🇨🇳 CHINA	27	74.1%	0.30
120	F.Von Brudersdorff	🇦🇷 ARGENTINA	11	63.6%	0.82
121	M.Scheie	🇳🇴 NORWAY	5	60.0%	0.40
122	D.Tubak	🇭🇺 HUNGARY	20	55.0%	0.45
123	Y.Chen	🇨🇳 CHINA	11	54.5%	0.46

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.Klukowski	🇵🇱 POLAND	98	94.9%	0.05
2	J.Zmuda	🇵🇱 POLAND	98	94.9%	0.05
3	S.Ekenberg	🇸🇪 SWEDEN	110	92.7%	0.10
4	S.Hult	🇸🇪 SWEDEN	110	92.7%	0.10
5	S.Sun	🇨🇳 CHINA	102	92.2%	0.09
6	H.Wei	🇨🇳 CHINA	102	92.2%	0.09
7	C.Bakke	🇳🇴 NORWAY	138	91.3%	0.11
8	H.Eide	🇳🇴 NORWAY	132	90.9%	0.11
9	A.Khandelwal	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	83	90.4%	0.12
10	A.Grossack	🇺🇸 USA1	69	89.9%	0.12
11	Z.Grossack	🇺🇸 USA1	69	89.9%	0.12
12	J.Thompson	🇦🇺 AUSTRALIA	78	89.7%	0.10
13	S.Williams	🇦🇺 AUSTRALIA	78	89.7%	0.10
14	A.Roberts	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	95	89.5%	0.13
15	C.Deheeger	🇫🇷 FRANCE	101	89.1%	0.12
16	A.Rouanet-Labe	🇫🇷 FRANCE	101	89.1%	0.12
17	M.Gronkvist	🇸🇪 SWEDEN	101	89.1%	0.13
18	D.Gullberg	🇸🇪 SWEDEN	101	89.1%	0.13
19	W.Kazmierczak	🇵🇱 POLAND	91	89.0%	0.13
20	K.Nowak	🇵🇱 POLAND	91	89.0%	0.13
21	K.Chan	🇸🇬 SINGAPORE	72	88.9%	0.11
22	S.Li	🇸🇬 SINGAPORE	72	88.9%	0.11
23	M.Bojarski	🇵🇱 POLAND	81	88.9%	0.12
24	M.Chodacki	🇵🇱 POLAND	81	88.9%	0.12
25	D.Braun	🇦🇺 AUSTRALIA	129	88.4%	0.12
26	N.Edgtton	🇦🇺 AUSTRALIA	129	88.4%	0.12
27	A.Gundersen	🇳🇴 NORWAY	144	88.2%	0.15
28	T.Polak	🇳🇱 NETHERLANDS	84	88.1%	0.17
29	T.Van Overbeeke	🇳🇱 NETHERLANDS	84	88.1%	0.17
30	A.Tebha	🇺🇸 USA2	142	88.0%	0.13
31	X.Chan	🇭🇰 CHINA HONG KONG	92	88.0%	0.13
32	V.Wan	🇭🇰 CHINA HONG KONG	92	88.0%	0.13
33	T.Grude	🇳🇴 NORWAY	150	88.0%	0.15
34	J.Bernard	🇫🇷 FRANCE	99	87.9%	0.15
35	B.Combescure	🇫🇷 FRANCE	99	87.9%	0.15
36	S.Shah	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	131	87.8%	0.19
37	K.Kobayashi	🇯🇵 JAPAN	104	87.5%	0.18
38	R.Yamada	🇯🇵 JAPAN	104	87.5%	0.18
39	B.Kristensen	🇺🇸 USA1	95	87.4%	0.14
40	K.Rosenberg	🇺🇸 USA1	95	87.4%	0.14
41	M.Zhou	🇸🇬 SINGAPORE	101	87.1%	0.15
42	X.Zhu	🇸🇬 SINGAPORE	101	87.1%	0.15
43	J.Cuervo Lopera	🇨🇴 COLOMBIA	140	87.1%	0.16
44	F.Charignon	🇫🇷 FRANCE	83	86.7%	0.14
45	C.Laloubeyre	🇫🇷 FRANCE	83	86.7%	0.14
46	M.Rimstedt	🇸🇪 SWEDEN	90	86.7%	0.21
47	O.Rimstedt	🇸🇪 SWEDEN	90	86.7%	0.21
48	F.Illingworth	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	126	86.5%	0.21
49	O.Kriegel	🇺🇸 USA2	147	86.4%	0.14
50	Y.Tao	🇨🇳 CHINA	139	86.3%	0.16
51	G.Donati	🇮🇹 ITALY	124	86.3%	0.18
52	G.Percario	🇮🇹 ITALY	124	86.3%	0.18
53	R.Chan	🇸🇬 SINGAPORE	116	86.2%	0.15
54	P.Haw	🇸🇬 SINGAPORE	116	86.2%	0.15
55	M.Crusizio	🇦🇷 ARGENTINA	148	85.8%	0.18
56	R.Garcia Da Rosa	🇦🇷 ARGENTINA	148	85.8%	0.18
57	Z.Tang	🇨🇳 CHINA	132	85.6%	0.17
58	C.Westerbeek	🇳🇱 NETHERLANDS	104	85.6%	0.19
59	R.Westerbeek	🇳🇱 NETHERLANDS	104	85.6%	0.19
60	J.Etchepareborda	🇦🇷 ARGENTINA	132	85.6%	0.20
61	S.Rueda	🇦🇷 ARGENTINA	132	85.6%	0.20
62	C.Konkoly	🇭🇺 HUNGARY	136	85.3%	0.18
63	A.Elselehdar	🇪🇬 EGYPT	129	84.5%	0.19
64	M.Tharwat	🇪🇬 EGYPT	129	84.5%	0.19
65	A.Aalto	🇫🇮 FINLAND	153	84.3%	0.19
66	O.Koivu	🇫🇮 FINLAND	153	84.3%	0.19
67	J.Zamora Villamizar	🇨🇴 COLOMBIA	139	84.2%	0.19
68	Z.Brescoll	🇺🇸 USA1	113	84.1%	0.19
69	A.Kaplan	🇺🇸 USA1	113	84.1%	0.19
70	V.Fagerlund	🇫🇮 FINLAND	155	83.9%	0.17
71	M.Myllaeri	🇫🇮 FINLAND	155	83.9%	0.17
72	G.Tang	🇭🇰 CHINA HONG KONG	102	83.3%	0.23
73	C.Wai	🇭🇰 CHINA HONG KONG	102	83.3%	0.23
74	K.Ashraf	🇪🇬 EGYPT	107	83.2%	0.21
75	A.Naser	🇪🇬 EGYPT	107	83.2%	0.21
76	V.Otto	🇩🇪 GERMANY	147	83.0%	0.18
77	V.Kiljan	🇳🇱 NETHERLANDS	99	82.8%	0.20
78	L.Tijssen	🇳🇱 NETHERLANDS	99	82.8%	0.20
79	X.Feng	🇨🇦 CANADA	110	82.7%	0.24
80	V.Lamoureux	🇨🇦 CANADA	111	82.0%	0.23
81	C.Jolly	🇺🇸 USA2	128	82.0%	0.24
82	M.Litterst	🇩🇪 GERMANY	138	81.9%	0.19
83	A.Calmanovici	🇮🇹 ITALY	83	81.9%	0.20
84	R.Sau	🇮🇹 ITALY	83	81.9%	0.20
85	B.Szirmay-Kalos	🇭🇺 HUNGARY	137	81.8%	0.23
86	J.Kaye	🇺🇸 USA2	110	81.8%	0.23
87	M.Vagi	🇭🇺 HUNGARY	112	81.2%	0.22
88	A.Edgtton	🇦🇺 AUSTRALIA	95	81.1%	0.23
89	M.Henbest	🇦🇺 AUSTRALIA	95	81.1%	0.23
90	G.Herman	🇺🇸 USA2	95	81.1%	0.24
91	RIPON RASHEDUL HASAN	🇧🇩 BANGLADESH	143	80.4%	0.25
92	B.Saha	🇧🇩 BANGLADESH	143	80.4%	0.25
93	N.Katagiri	🇯🇵 JAPAN	84	79.8%	0.26
94	K.Tsuruoka	🇯🇵 JAPAN	84	79.8%	0.26
95	Y.Wiseman	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	92	79.3%	0.25
96	B.Fischer	🇭🇺 HUNGARY	143	79.0%	0.26
97	F.Chan	🇭🇰 CHINA HONG KONG	89	78.7%	0.23
98	M.Ng	🇭🇰 CHINA HONG KONG	89	78.7%	0.23
99	M.Chavarria	🇮🇹 ITALY	75	78.7%	0.28
100	E.Montanelli	🇮🇹 ITALY	75	78.7%	0.28
101	J.Valenzuela Rivera	🇨🇴 COLOMBIA	154	77.9%	0.30
102	F.Nordmann	🇩🇪 GERMANY	125	77.6%	0.25
103	N.Correa Laguna	🇨🇴 COLOMBIA	161	77.0%	0.32
104	A.Askari	🇨🇦 CANADA	99	76.8%	0.35
105	S.Macdonald	🇨🇦 CANADA	99	76.8%	0.35
106	B.Norton	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	75	76.0%	0.29
107	M.Islam	🇧🇩 BANGLADESH	149	75.2%	0.33
108	R.Siddiqui	🇧🇩 BANGLADESH	149	75.2%	0.33
109	O.Shaheen	🇪🇬 EGYPT	59	74.6%	0.30
110	M.Shouman	🇪🇬 EGYPT	59	74.6%	0.30
111	T.Kikuchi	🇯🇵 JAPAN	105	73.3%	0.31
112	H.Tanabe	🇯🇵 JAPAN	105	73.3%	0.31
113	D.Cozart	🇨🇦 CANADA	93	73.1%	0.33
114	J.Tsang	🇨🇦 CANADA	76	71.1%	0.35
115	F.Hahn	🇩🇪 GERMANY	142	70.4%	0.37
116	J.Pieper	🇩🇪 GERMANY	96	68.8%	0.40
117	M.Maglio	🇦🇷 ARGENTINA	10	100.0%	0.00
118	F.Von Brudersdorff	🇦🇷 ARGENTINA	10	100.0%	0.00
119	M.Scheie	🇳🇴 NORWAY	12	91.7%	0.08
120	D.Tubak	🇭🇺 HUNGARY	44	90.9%	0.14
121	S.Liu	🇨🇳 CHINA	65	90.8%	0.12
122	Y.Chen	🇨🇳 CHINA	42	85.7%	0.19
123	D.Cardenas Cardenas	🇨🇴 COLOMBIA	24	70.8%	0.38

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	S.Sun	🇨🇳 CHINA	252	-0.20	+1.19	+0.99	·
2	H.Wei	🇨🇳 CHINA	252	-0.20	+1.19	+0.99	·
3	W.Kazmierczak	🇵🇱 POLAND	224	-0.17	+1.08	+0.91	·
4	K.Nowak	🇵🇱 POLAND	224	-0.17	+1.08	+0.91	·
5	M.Zhou	🇸🇬 SINGAPORE	224	-0.06	+0.93	+0.86	·
6	X.Zhu	🇸🇬 SINGAPORE	224	-0.06	+0.93	+0.86	·
7	H.Eide	🇳🇴 NORWAY	280	+0.06	+0.69	+0.75	▲5
8	C.Bakke	🇳🇴 NORWAY	294	-0.01	+0.75	+0.75	▲3
9	M.Rimstedt	🇸🇪 SWEDEN	168	+0.33	+0.39	+0.72	▲22
10	O.Rimstedt	🇸🇪 SWEDEN	168	+0.33	+0.39	+0.72	▲22
11	Z.Brescoll	🇺🇸 USA1	224	+0.07	+0.63	+0.70	▲2
12	A.Kaplan	🇺🇸 USA1	224	+0.07	+0.63	+0.70	▲2
13	M.Gronkvist	🇸🇪 SWEDEN	210	-0.12	+0.79	+0.67	▼6
14	D.Gullberg	🇸🇪 SWEDEN	210	-0.12	+0.79	+0.67	▼6
15	V.Kiljan	🇳🇱 NETHERLANDS	210	-0.11	+0.78	+0.67	▼6
16	L.Tijssen	🇳🇱 NETHERLANDS	210	-0.11	+0.78	+0.67	▼6
17	G.Donati	🇮🇹 ITALY	280	-0.01	+0.62	+0.60	▼2
18	G.Percario	🇮🇹 ITALY	280	-0.01	+0.62	+0.60	▼2
19	B.Kristensen	🇺🇸 USA1	196	+0.08	+0.51	+0.59	▲1
20	K.Rosenberg	🇺🇸 USA1	196	+0.08	+0.51	+0.59	▲1
21	M.Klukowski	🇵🇱 POLAND	210	+0.22	+0.35	+0.57	▲16
22	J.Zmuda	🇵🇱 POLAND	210	+0.22	+0.35	+0.57	▲16
23	T.Polak	🇳🇱 NETHERLANDS	182	+0.27	+0.30	+0.57	▲21
24	T.Van Overbeeke	🇳🇱 NETHERLANDS	182	+0.27	+0.30	+0.57	▲21
25	A.Tebha	🇺🇸 USA2	280	-0.06	+0.56	+0.50	▼6
26	T.Grude	🇳🇴 NORWAY	294	-0.01	+0.50	+0.49	▼2
27	M.Crusizio	🇦🇷 ARGENTINA	294	-0.03	+0.51	+0.47	▼5
28	R.Garcia Da Rosa	🇦🇷 ARGENTINA	294	-0.03	+0.51	+0.47	▼5
29	D.Braun	🇦🇺 AUSTRALIA	252	-0.04	+0.50	+0.46	▼4
30	N.Edgtton	🇦🇺 AUSTRALIA	252	-0.04	+0.50	+0.46	▼4
31	A.Gundersen	🇳🇴 NORWAY	280	+0.03	+0.40	+0.43	▼1
32	O.Kriegel	🇺🇸 USA2	280	+0.01	+0.41	+0.42	▼3
33	J.Etchepareborda	🇦🇷 ARGENTINA	266	+0.10	+0.30	+0.40	▲13
34	S.Rueda	🇦🇷 ARGENTINA	266	+0.10	+0.30	+0.40	▲13
35	J.Bernard	🇫🇷 FRANCE	210	-0.12	+0.49	+0.37	▼8
36	B.Combescure	🇫🇷 FRANCE	210	-0.12	+0.49	+0.37	▼8
37	K.Chan	🇸🇬 SINGAPORE	140	-0.01	+0.34	+0.34	▲2
38	S.Li	🇸🇬 SINGAPORE	140	-0.01	+0.34	+0.34	▲2
39	M.Bojarski	🇵🇱 POLAND	154	-0.28	+0.62	+0.33	▼22
40	M.Chodacki	🇵🇱 POLAND	154	-0.28	+0.62	+0.33	▼22
41	C.Westerbeek	🇳🇱 NETHERLANDS	196	-0.07	+0.38	+0.31	▼8
42	R.Westerbeek	🇳🇱 NETHERLANDS	196	-0.07	+0.38	+0.31	▼8
43	G.Tang	🇭🇰 CHINA HONG KONG	210	+0.12	+0.17	+0.30	▲13
44	C.Wai	🇭🇰 CHINA HONG KONG	210	+0.12	+0.17	+0.30	▲13
45	M.Chavarria	🇮🇹 ITALY	154	+0.08	+0.21	+0.30	▲7
46	E.Montanelli	🇮🇹 ITALY	154	+0.08	+0.21	+0.30	▲7
47	C.Konkoly	🇭🇺 HUNGARY	280	-0.07	+0.31	+0.24	▼6
48	C.Deheeger	🇫🇷 FRANCE	224	+0.04	+0.20	+0.24	▲6
49	A.Rouanet-Labe	🇫🇷 FRANCE	224	+0.04	+0.20	+0.24	▲6
50	V.Fagerlund	🇫🇮 FINLAND	294	+0.10	+0.12	+0.22	▲10
51	M.Myllaeri	🇫🇮 FINLAND	294	+0.10	+0.12	+0.22	▲10
52	X.Chan	🇭🇰 CHINA HONG KONG	182	-0.08	+0.28	+0.20	▼4
53	V.Wan	🇭🇰 CHINA HONG KONG	182	-0.08	+0.28	+0.20	▼4
54	M.Vagi	🇭🇺 HUNGARY	224	+0.00	+0.16	+0.17	▲4
55	Y.Tao	🇨🇳 CHINA	252	+0.28	-0.13	+0.15	▲16
56	S.Shah	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	252	+0.07	+0.07	+0.14	▲7
57	A.Edgtton	🇦🇺 AUSTRALIA	196	-0.10	+0.22	+0.12	▼7
58	M.Henbest	🇦🇺 AUSTRALIA	196	-0.10	+0.22	+0.12	▼7
59	S.Ekenberg	🇸🇪 SWEDEN	210	-0.24	+0.35	+0.11	▼24
60	S.Hult	🇸🇪 SWEDEN	210	-0.24	+0.35	+0.11	▼24
61	B.Szirmay-Kalos	🇭🇺 HUNGARY	294	-0.03	+0.10	+0.07	▲1
62	B.Fischer	🇭🇺 HUNGARY	294	+0.02	+0.05	+0.07	▲2
63	J.Kaye	🇺🇸 USA2	196	+0.08	-0.02	+0.06	▲3
64	J.Thompson	🇦🇺 AUSTRALIA	140	+0.24	-0.19	+0.05	▲16
65	S.Williams	🇦🇺 AUSTRALIA	140	+0.24	-0.19	+0.05	▲16
66	A.Grossack	🇺🇸 USA1	168	-0.30	+0.31	+0.01	▼24
67	Z.Grossack	🇺🇸 USA1	168	-0.30	+0.31	+0.01	▼24
68	Z.Tang	🇨🇳 CHINA	238	+0.18	-0.19	-0.01	▲11
69	F.Illingworth	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	252	+0.04	-0.06	-0.02	·
70	Y.Wiseman	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	168	-0.15	+0.13	-0.02	▼11
71	C.Jolly	🇺🇸 USA2	238	-0.03	+0.00	-0.03	▼6
72	A.Khandelwal	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	168	-0.07	-0.04	-0.11	▼5
73	T.Kikuchi	🇯🇵 JAPAN	210	+0.24	-0.37	-0.13	▲14
74	H.Tanabe	🇯🇵 JAPAN	210	+0.24	-0.37	-0.13	▲14
75	G.Herman	🇺🇸 USA2	182	+0.01	-0.14	-0.13	▼3
76	V.Lamoureux	🇨🇦 CANADA	224	+0.12	-0.27	-0.15	▲6
77	A.Elselehdar	🇪🇬 EGYPT	238	+0.00	-0.16	-0.16	▼4
78	M.Tharwat	🇪🇬 EGYPT	238	+0.00	-0.16	-0.16	▼4
79	A.Roberts	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	196	-0.11	-0.05	-0.16	▼11
80	R.Chan	🇸🇬 SINGAPORE	224	-0.00	-0.18	-0.18	▼3
81	P.Haw	🇸🇬 SINGAPORE	224	-0.00	-0.18	-0.18	▼3
82	B.Norton	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	140	-0.17	-0.06	-0.23	▼12
83	F.Charignon	🇫🇷 FRANCE	154	+0.08	-0.44	-0.35	▲6
84	C.Laloubeyre	🇫🇷 FRANCE	154	+0.08	-0.44	-0.35	▲6
85	RIPON RASHEDUL HASAN	🇧🇩 BANGLADESH	294	+0.07	-0.44	-0.37	▲6
86	B.Saha	🇧🇩 BANGLADESH	294	+0.07	-0.44	-0.37	▲6
87	X.Feng	🇨🇦 CANADA	224	+0.14	-0.51	-0.37	▲9
88	A.Calmanovici	🇮🇹 ITALY	154	-0.21	-0.18	-0.38	▼13
89	R.Sau	🇮🇹 ITALY	154	-0.21	-0.18	-0.38	▼13
90	J.Cuervo Lopera	🇨🇴 COLOMBIA	280	+0.07	-0.48	-0.42	▲3
91	A.Aalto	🇫🇮 FINLAND	294	+0.03	-0.50	-0.47	▲3
92	O.Koivu	🇫🇮 FINLAND	294	+0.03	-0.50	-0.47	▲3
93	N.Katagiri	🇯🇵 JAPAN	182	-0.15	-0.33	-0.48	▼10
94	K.Tsuruoka	🇯🇵 JAPAN	182	-0.15	-0.33	-0.48	▼10
95	A.Askari	🇨🇦 CANADA	182	+0.06	-0.61	-0.55	▲3
96	S.Macdonald	🇨🇦 CANADA	182	+0.06	-0.61	-0.55	▲3
97	F.Chan	🇭🇰 CHINA HONG KONG	196	-0.25	-0.36	-0.61	▼12
98	M.Ng	🇭🇰 CHINA HONG KONG	196	-0.25	-0.36	-0.61	▼12
99	J.Zamora Villamizar	🇨🇴 COLOMBIA	280	+0.07	-0.72	-0.65	▲2
100	K.Kobayashi	🇯🇵 JAPAN	196	+0.05	-0.80	-0.75	▲2
101	R.Yamada	🇯🇵 JAPAN	196	+0.05	-0.80	-0.75	▲2
102	J.Tsang	🇨🇦 CANADA	168	-0.17	-0.60	-0.77	▼5
103	D.Cozart	🇨🇦 CANADA	196	-0.13	-0.69	-0.81	▼3
104	K.Ashraf	🇪🇬 EGYPT	224	+0.05	-0.87	-0.82	·
105	A.Naser	🇪🇬 EGYPT	224	+0.05	-0.87	-0.82	·
106	F.Nordmann	🇩🇪 GERMANY	238	+0.04	-1.01	-0.97	·
107	M.Islam	🇧🇩 BANGLADESH	294	+0.05	-1.08	-1.03	·
108	R.Siddiqui	🇧🇩 BANGLADESH	294	+0.05	-1.08	-1.03	·
109	V.Otto	🇩🇪 GERMANY	252	+0.22	-1.27	-1.05	▲1
110	J.Valenzuela Rivera	🇨🇴 COLOMBIA	280	-0.05	-1.09	-1.14	▼1
111	M.Litterst	🇩🇪 GERMANY	252	+0.17	-1.33	-1.16	▲1
112	N.Correa Laguna	🇨🇴 COLOMBIA	294	-0.04	-1.31	-1.36	▼1
113	O.Shaheen	🇪🇬 EGYPT	126	+0.17	-1.57	-1.39	·
114	M.Shouman	🇪🇬 EGYPT	126	+0.17	-1.57	-1.39	·
115	F.Hahn	🇩🇪 GERMANY	266	-0.09	-1.64	-1.73	·
116	J.Pieper	🇩🇪 GERMANY	168	+0.00	-1.82	-1.81	·

Stages

Statistics