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	B.Kristensen	🇺🇸 USA 1	182	+1.35	+245.0
2	K.Rosenberg	🇺🇸 USA 1	182	+1.35	+245.0
3	M.Schols	🇳🇱 NETHERLANDS	182	+1.34	+243.0
4	R.Westerbeek	🇳🇱 NETHERLANDS	182	+1.34	+243.0
5	Z.Grossack	🇺🇸 USA 1	196	+0.91	+179.0
6	O.Kriegel	🇺🇸 USA 1	196	+0.91	+179.0
7	G.Herman	🇺🇸 USA 2	210	+0.76	+159.0
8	B.Snowden	🇺🇸 USA 2	210	+0.76	+159.0
9	S.Hult	🇸🇪 SWEDEN	182	+0.75	+137.0
10	A.Stokka	🇸🇪 SWEDEN	182	+0.75	+137.0
11	P.Haw	🇸🇬 SINGAPORE	224	+0.73	+163.0
12	Y.Liu	🇸🇬 SINGAPORE	224	+0.73	+163.0
13	M.Rimstedt	🇸🇪 SWEDEN	210	+0.72	+152.0
14	O.Rimstedt	🇸🇪 SWEDEN	210	+0.72	+152.0
15	M.Chodacki	🇵🇱 POLAND	280	+0.70	+195.0
16	J.Bernard	🇫🇷 FRANCE	238	+0.65	+155.0
17	B.Combescure	🇫🇷 FRANCE	238	+0.65	+155.0
18	C.Jolly	🇺🇸 USA 1	210	+0.64	+135.0
19	A.Kaplan	🇺🇸 USA 1	210	+0.64	+135.0
20	M.Sobczak	🇵🇱 POLAND	252	+0.62	+157.0
21	A.Manganella	🇮🇹 ITALY	210	+0.60	+127.0
22	S.Scata	🇮🇹 ITALY	210	+0.60	+127.0
23	S.Gu	🇨🇳 CHINA	294	+0.51	+150.0
24	V.Kiljan	🇳🇱 NETHERLANDS	196	+0.50	+98.0
25	L.Tijssen	🇳🇱 NETHERLANDS	196	+0.50	+98.0
26	K.Lam	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	196	+0.49	+97.0
27	T.Nonnenmacher	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	196	+0.49	+97.0
28	B.Miao	🇨🇳 CHINA	266	+0.45	+121.0
29	S.Amer	🇺🇸 USA 2	196	+0.45	+88.0
30	Y.Yin	🇺🇸 USA 2	196	+0.45	+88.0
31	G.Percario	🇮🇹 ITALY	196	+0.44	+87.0
32	R.Sau	🇮🇹 ITALY	196	+0.44	+87.0
33	O.Toledano	🇮🇱 ISRAEL	294	+0.41	+122.0
34	A.Zamir	🇮🇱 ISRAEL	294	+0.41	+122.0
35	C.Deheeger	🇫🇷 FRANCE	168	+0.41	+69.0
36	G.Langlet	🇫🇷 FRANCE	168	+0.41	+69.0
37	A.Asulin	🇮🇱 ISRAEL	266	+0.39	+103.0
38	H.Levi	🇮🇱 ISRAEL	266	+0.39	+103.0
39	R.Narendra	🇮🇩 INDONESIA	210	+0.39	+81.0
40	S.Wijayanto	🇮🇩 INDONESIA	210	+0.39	+81.0
41	C.Zhao	🇨🇳 CHINA	140	+0.38	+53.0
42	J.Cuervo Lopera	🇨🇴 COLOMBIA	294	+0.29	+84.0
43	F.Von Brudersdorff	🇨🇴 COLOMBIA	294	+0.29	+84.0
44	R.Cooper	🇦🇺 AUSTRALIA	182	+0.23	+41.0
45	F.Mcgrath	🇦🇺 AUSTRALIA	182	+0.23	+41.0
46	T.Libman	🇦🇺 AUSTRALIA	182	+0.20	+36.0
47	A.Spooner	🇦🇺 AUSTRALIA	182	+0.20	+36.0
48	KUSHARI SAYANTAN	🇮🇳 INDIA	252	+0.18	+46.0
49	ROY SAGNIK	🇮🇳 INDIA	252	+0.18	+46.0
50	P.Marcinowski	🇵🇱 POLAND	266	+0.17	+45.0
51	I.Gronkvist	🇸🇪 SWEDEN	196	+0.14	+27.0
52	M.Gronkvist	🇸🇪 SWEDEN	196	+0.14	+27.0
53	M.Zhou	🇸🇬 SINGAPORE	252	+0.13	+34.0
54	X.Zhu	🇸🇬 SINGAPORE	252	+0.13	+34.0
55	M.Smith	🇦🇺 AUSTRALIA	224	+0.13	+30.0
56	J.Thompson	🇦🇺 AUSTRALIA	224	+0.13	+30.0
57	A.Majcher	🇵🇱 POLAND	266	+0.11	+30.0
58	H.Guo	🇹🇼 CHINESE TAIPEI	182	+0.11	+20.0
59	H.Huang	🇹🇼 CHINESE TAIPEI	182	+0.11	+20.0
60	Q.Wang	🇨🇳 CHINA	252	+0.08	+21.0
61	G.Lafont	🇫🇷 FRANCE	182	+0.01	+2.0
62	C.Laloubeyre	🇫🇷 FRANCE	182	+0.01	+2.0
63	S.Macdonald	🇨🇦 CANADA	154	-0.06	-9.0
64	P.Man	🇭🇰 CHINA HONG KONG	182	-0.07	-13.0
65	H.Tang	🇭🇰 CHINA HONG KONG	182	-0.07	-13.0
66	G.Guridi	🇨🇱 CHILE	294	-0.07	-22.0
67	D.Ramirez	🇨🇱 CHILE	294	-0.07	-22.0
68	T.Tseng	🇭🇰 CHINA HONG KONG	182	-0.09	-16.0
69	T.Wan	🇭🇰 CHINA HONG KONG	182	-0.09	-16.0
70	Y.Li	🇹🇼 CHINESE TAIPEI	210	-0.10	-20.0
71	K.Lin	🇹🇼 CHINESE TAIPEI	210	-0.10	-20.0
72	BOSE BABHRUBAHAN	🇮🇳 INDIA	238	-0.11	-26.0
73	KAR SOUVIK	🇮🇳 INDIA	238	-0.11	-26.0
74	A.Dhir	🇺🇸 USA 2	182	-0.12	-22.0
75	W.Zhu	🇺🇸 USA 2	182	-0.12	-22.0
76	T.Chan	🇭🇰 CHINA HONG KONG	224	-0.12	-28.0
77	E.Moo	🇭🇰 CHINA HONG KONG	224	-0.12	-28.0
78	H.Febriyanto	🇮🇩 INDONESIA	224	-0.16	-35.0
79	M.Satriawan	🇮🇩 INDONESIA	224	-0.16	-35.0
80	O.Shaheen	🇪🇬 EGYPT	294	-0.16	-46.0
81	X.Yang	🇨🇦 CANADA	140	-0.25	-35.0
82	M.Santoso	🇮🇩 INDONESIA	154	-0.26	-40.0
83	M.Solihin	🇮🇩 INDONESIA	154	-0.26	-40.0
84	A.Ashraf	🇪🇬 EGYPT	266	-0.26	-70.0
85	M.Alishaw	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	168	-0.27	-45.0
86	S.Kennedy	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	168	-0.27	-45.0
87	P.Chen	🇹🇼 CHINESE TAIPEI	196	-0.28	-54.0
88	Y.Wang	🇹🇼 CHINESE TAIPEI	196	-0.28	-54.0
89	A.Naser	🇪🇬 EGYPT	266	-0.34	-90.0
90	K.Jin	🇨🇳 CHINA	224	-0.34	-77.0
91	K.Ashraf	🇪🇬 EGYPT	294	-0.37	-109.0
92	G.Mendes De Leon	🇳🇱 NETHERLANDS	210	-0.39	-81.0
93	T.Sprinkhuizen	🇳🇱 NETHERLANDS	210	-0.39	-81.0
94	K.Bossonney	🇨🇱 CHILE	294	-0.45	-131.0
95	P.Cazabon	🇨🇱 CHILE	294	-0.45	-131.0
96	N.Correa Laguna	🇨🇴 COLOMBIA	294	-0.48	-142.0
97	J.Zamora Villamizar	🇨🇴 COLOMBIA	294	-0.48	-142.0
98	B.Johnston	🇳🇿 NEW ZEALAND	294	-0.55	-162.0
99	N.Mitchell	🇳🇿 NEW ZEALAND	294	-0.55	-162.0
100	S.Natt	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	224	-0.57	-127.0
101	B.Norton	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	224	-0.57	-127.0
102	X.Zhu	🇨🇦 CANADA	252	-0.58	-145.0
103	K.Jiang	🇨🇦 CANADA	238	-0.72	-171.0
104	D.Cozart	🇨🇦 CANADA	196	-1.15	-225.0
105	S.Mcilwain	🇨🇦 CANADA	196	-1.15	-225.0
106	C.Pelaelo	BOTSWANA	266	-1.16	-308.0
107	V.He	🇳🇿 NEW ZEALAND	294	-1.18	-348.0
108	Z.Yan	🇳🇿 NEW ZEALAND	294	-1.18	-348.0
109	F.Chiarandini	🇮🇹 ITALY	182	-1.26	-230.0
110	A.Gaiotti	🇮🇹 ITALY	182	-1.26	-230.0
111	O.Tshupelo	BOTSWANA	266	-1.41	-375.0
112	T.Makgosa	BOTSWANA	154	-1.44	-221.0
113	P.Ramoseki	BOTSWANA	182	-1.85	-336.0
114	L.Thee	BOTSWANA	140	-2.28	-319.0
115	K.Tabona	BOTSWANA	168	-3.16	-531.0
116	A.Ezion	🇮🇱 ISRAEL	28	+1.36	+38.0
117	A.Yekutieli	🇮🇱 ISRAEL	28	+1.36	+38.0
118	E.Sucharda	🇵🇱 POLAND	56	+0.75	+42.0
119	R.Chan	🇸🇬 SINGAPORE	112	+0.20	+22.0
120	J.Ong	🇸🇬 SINGAPORE	112	+0.20	+22.0
121	J.Zawada	🇵🇱 POLAND	56	+0.16	+9.0
122	M.Youssef	🇪🇬 EGYPT	28	+0.04	+1.0
123	ACHARYA SHUBHAM	🇮🇳 INDIA	98	-0.23	-23.0
124	PRAKASH ANIRUDH	🇮🇳 INDIA	98	-0.23	-23.0
125	A.Khamis	🇪🇬 EGYPT	28	-1.50	-42.0

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.Cuervo Lopera	🇨🇴 COLOMBIA	19	94.7%	0.05
2	P.Man	🇭🇰 CHINA HONG KONG	39	89.7%	0.15
3	K.Jin	🇨🇳 CHINA	55	89.1%	0.16
4	F.Mcgrath	🇦🇺 AUSTRALIA	43	88.4%	0.12
5	A.Kaplan	🇺🇸 USA 1	57	87.7%	0.12
6	L.Tijssen	🇳🇱 NETHERLANDS	46	87.0%	0.26
7	K.Jiang	🇨🇦 CANADA	61	86.9%	0.16
8	O.Rimstedt	🇸🇪 SWEDEN	45	86.7%	0.18
9	G.Lafont	🇫🇷 FRANCE	44	86.4%	0.20
10	G.Herman	🇺🇸 USA 2	58	86.2%	0.14
11	C.Zhao	🇨🇳 CHINA	40	85.0%	0.15
12	B.Snowden	🇺🇸 USA 2	58	84.5%	0.19
13	K.Lin	🇹🇼 CHINESE TAIPEI	54	83.3%	0.17
14	A.Manganella	🇮🇹 ITALY	59	83.1%	0.17
15	KUSHARI SAYANTAN	🇮🇳 INDIA	58	82.8%	0.24
16	S.Kennedy	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	45	82.2%	0.33
17	Y.Wang	🇹🇼 CHINESE TAIPEI	44	81.8%	0.23
18	H.Levi	🇮🇱 ISRAEL	71	81.7%	0.28
19	B.Norton	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	49	81.6%	0.18
20	S.Scata	🇮🇹 ITALY	43	81.4%	0.26
21	Y.Yin	🇺🇸 USA 2	48	81.2%	0.29
22	C.Jolly	🇺🇸 USA 1	53	81.1%	0.21
23	O.Kriegel	🇺🇸 USA 1	37	81.1%	0.22
24	R.Narendra	🇮🇩 INDONESIA	53	81.1%	0.24
25	B.Kristensen	🇺🇸 USA 1	37	81.1%	0.27
26	G.Guridi	🇨🇱 CHILE	79	81.0%	0.20
27	M.Rimstedt	🇸🇪 SWEDEN	58	81.0%	0.21
28	N.Mitchell	🇳🇿 NEW ZEALAND	73	80.8%	0.22
29	S.Amer	🇺🇸 USA 2	52	80.8%	0.29
30	K.Ashraf	🇪🇬 EGYPT	46	80.4%	0.24
31	Y.Li	🇹🇼 CHINESE TAIPEI	40	80.0%	0.25
32	B.Combescure	🇫🇷 FRANCE	55	80.0%	0.27
33	M.Gronkvist	🇸🇪 SWEDEN	50	80.0%	0.30
34	J.Zamora Villamizar	🇨🇴 COLOMBIA	70	80.0%	0.33
35	M.Smith	🇦🇺 AUSTRALIA	59	79.7%	0.24
36	K.Lam	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	59	79.7%	0.24
37	X.Zhu	🇨🇦 CANADA	74	79.7%	0.28
38	A.Majcher	🇵🇱 POLAND	68	79.4%	0.31
39	H.Tang	🇭🇰 CHINA HONG KONG	58	79.3%	0.29
40	K.Bossonney	🇨🇱 CHILE	76	78.9%	0.25
41	M.Satriawan	🇮🇩 INDONESIA	57	78.9%	0.28
42	D.Ramirez	🇨🇱 CHILE	57	78.9%	0.32
43	A.Spooner	🇦🇺 AUSTRALIA	52	78.8%	0.29
44	T.Wan	🇭🇰 CHINA HONG KONG	47	78.7%	0.23
45	C.Deheeger	🇫🇷 FRANCE	42	78.6%	0.21
46	S.Wijayanto	🇮🇩 INDONESIA	51	78.4%	0.22
47	M.Chodacki	🇵🇱 POLAND	74	78.4%	0.28
48	P.Haw	🇸🇬 SINGAPORE	46	78.3%	0.26
49	Y.Liu	🇸🇬 SINGAPORE	59	78.0%	0.29
50	S.Gu	🇨🇳 CHINA	68	77.9%	0.23
51	J.Bernard	🇫🇷 FRANCE	54	77.8%	0.26
52	A.Asulin	🇮🇱 ISRAEL	67	77.6%	0.31
53	KAR SOUVIK	🇮🇳 INDIA	58	77.6%	0.34
54	A.Naser	🇪🇬 EGYPT	71	77.5%	0.27
55	M.Sobczak	🇵🇱 POLAND	66	77.3%	0.29
56	ROY SAGNIK	🇮🇳 INDIA	65	76.9%	0.25
57	O.Shaheen	🇪🇬 EGYPT	65	76.9%	0.25
58	B.Miao	🇨🇳 CHINA	69	76.8%	0.35
59	G.Mendes De Leon	🇳🇱 NETHERLANDS	43	76.7%	0.28
60	T.Libman	🇦🇺 AUSTRALIA	43	76.7%	0.30
61	T.Chan	🇭🇰 CHINA HONG KONG	60	76.7%	0.33
62	X.Zhu	🇸🇬 SINGAPORE	68	76.5%	0.28
63	A.Gaiotti	🇮🇹 ITALY	51	76.5%	0.41
64	H.Febriyanto	🇮🇩 INDONESIA	55	76.4%	0.33
65	T.Nonnenmacher	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	38	76.3%	0.32
66	M.Schols	🇳🇱 NETHERLANDS	50	76.0%	0.24
67	D.Cozart	🇨🇦 CANADA	50	76.0%	0.34
68	O.Toledano	🇮🇱 ISRAEL	79	75.9%	0.29
69	Q.Wang	🇨🇳 CHINA	58	75.9%	0.29
70	P.Marcinowski	🇵🇱 POLAND	77	75.3%	0.36
71	S.Macdonald	🇨🇦 CANADA	40	75.0%	0.25
72	F.Chiarandini	🇮🇹 ITALY	32	75.0%	0.28
73	Z.Grossack	🇺🇸 USA 1	48	75.0%	0.31
74	V.Kiljan	🇳🇱 NETHERLANDS	48	75.0%	0.33
75	B.Johnston	🇳🇿 NEW ZEALAND	64	75.0%	0.34
76	W.Zhu	🇺🇸 USA 2	43	74.4%	0.33
77	R.Cooper	🇦🇺 AUSTRALIA	35	74.3%	0.31
78	T.Sprinkhuizen	🇳🇱 NETHERLANDS	58	74.1%	0.28
79	K.Rosenberg	🇺🇸 USA 1	46	73.9%	0.37
80	S.Natt	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	57	73.7%	0.32
81	X.Yang	🇨🇦 CANADA	38	73.7%	0.34
82	H.Huang	🇹🇼 CHINESE TAIPEI	49	73.5%	0.29
83	R.Sau	🇮🇹 ITALY	49	73.5%	0.29
84	M.Alishaw	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	49	73.5%	0.29
85	A.Dhir	🇺🇸 USA 2	49	73.5%	0.31
86	C.Laloubeyre	🇫🇷 FRANCE	49	73.5%	0.31
87	T.Tseng	🇭🇰 CHINA HONG KONG	45	73.3%	0.40
88	G.Percario	🇮🇹 ITALY	56	73.2%	0.30
89	P.Cazabon	🇨🇱 CHILE	77	72.7%	0.39
90	C.Pelaelo	BOTSWANA	80	72.5%	0.40
91	BOSE BABHRUBAHAN	🇮🇳 INDIA	68	72.1%	0.32
92	I.Gronkvist	🇸🇪 SWEDEN	43	72.1%	0.35
93	R.Westerbeek	🇳🇱 NETHERLANDS	43	72.1%	0.37
94	L.Thee	BOTSWANA	25	72.0%	0.28
95	E.Moo	🇭🇰 CHINA HONG KONG	50	72.0%	0.38
96	K.Tabona	BOTSWANA	32	71.9%	0.34
97	J.Thompson	🇦🇺 AUSTRALIA	57	71.9%	0.37
98	S.Hult	🇸🇪 SWEDEN	39	71.8%	0.33
99	G.Langlet	🇫🇷 FRANCE	39	71.8%	0.36
100	A.Stokka	🇸🇪 SWEDEN	60	71.7%	0.37
101	A.Zamir	🇮🇱 ISRAEL	67	71.6%	0.34
102	V.He	🇳🇿 NEW ZEALAND	84	71.4%	0.43
103	M.Santoso	🇮🇩 INDONESIA	44	70.5%	0.50
104	F.Von Brudersdorff	🇨🇴 COLOMBIA	127	70.1%	0.40
105	H.Guo	🇹🇼 CHINESE TAIPEI	50	70.0%	0.46
106	O.Tshupelo	BOTSWANA	59	69.5%	0.36
107	Z.Yan	🇳🇿 NEW ZEALAND	72	69.4%	0.40
108	P.Chen	🇹🇼 CHINESE TAIPEI	39	69.2%	0.36
109	M.Zhou	🇸🇬 SINGAPORE	61	68.9%	0.46
110	S.Mcilwain	🇨🇦 CANADA	37	67.6%	0.35
111	P.Ramoseki	BOTSWANA	46	67.4%	0.43
112	A.Ashraf	🇪🇬 EGYPT	73	67.1%	0.37
113	T.Makgosa	BOTSWANA	38	65.8%	0.37
114	N.Correa Laguna	🇨🇴 COLOMBIA	76	65.8%	0.46
115	M.Solihin	🇮🇩 INDONESIA	40	65.0%	0.35
116	J.Ong	🇸🇬 SINGAPORE	26	88.5%	0.19
117	E.Sucharda	🇵🇱 POLAND	15	86.7%	0.13
118	ACHARYA SHUBHAM	🇮🇳 INDIA	25	80.0%	0.20
119	M.Youssef	🇪🇬 EGYPT	15	80.0%	0.20
120	A.Ezion	🇮🇱 ISRAEL	5	80.0%	0.40
121	J.Zawada	🇵🇱 POLAND	16	75.0%	0.50
122	R.Chan	🇸🇬 SINGAPORE	29	72.4%	0.34
123	A.Yekutieli	🇮🇱 ISRAEL	10	70.0%	0.30
124	A.Khamis	🇪🇬 EGYPT	15	66.7%	0.53
125	PRAKASH ANIRUDH	🇮🇳 INDIA	18	55.6%	0.61

Declarer-play accuracy↑ top

How often declarer took at least the double-dummy makeable tricks after the actual opening lead — i.e. didn’t leave tricks on the table. Players with few boards are greyed. Click a column header to sort; filter by name or team.

#	Player	Team	Contracts	On target	Conceded
1	M.Schols	🇳🇱 NETHERLANDS	37	89.2%	0.11
2	O.Rimstedt	🇸🇪 SWEDEN	53	88.7%	0.15
3	Z.Grossack	🇺🇸 USA 1	57	87.7%	0.16
4	K.Lin	🇹🇼 CHINESE TAIPEI	45	86.7%	0.29
5	M.Gronkvist	🇸🇪 SWEDEN	48	85.4%	0.25
6	M.Smith	🇦🇺 AUSTRALIA	47	85.1%	0.17
7	T.Nonnenmacher	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	59	84.7%	0.19
8	M.Sobczak	🇵🇱 POLAND	56	83.9%	0.21
9	F.Chiarandini	🇮🇹 ITALY	42	83.3%	0.19
10	J.Bernard	🇫🇷 FRANCE	69	82.6%	0.20
11	R.Cooper	🇦🇺 AUSTRALIA	51	82.4%	0.18
12	B.Kristensen	🇺🇸 USA 1	45	82.2%	0.27
13	M.Chodacki	🇵🇱 POLAND	66	81.8%	0.27
14	K.Jin	🇨🇳 CHINA	60	81.7%	0.25
15	R.Westerbeek	🇳🇱 NETHERLANDS	49	81.6%	0.29
16	O.Kriegel	🇺🇸 USA 1	54	81.5%	0.24
17	T.Sprinkhuizen	🇳🇱 NETHERLANDS	54	81.5%	0.24
18	S.Gu	🇨🇳 CHINA	81	81.5%	0.25
19	Y.Yin	🇺🇸 USA 2	32	81.2%	0.25
20	E.Moo	🇭🇰 CHINA HONG KONG	47	80.9%	0.23
21	S.Wijayanto	🇮🇩 INDONESIA	52	80.8%	0.19
22	S.Natt	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	52	80.8%	0.19
23	M.Alishaw	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	36	80.6%	0.22
24	C.Jolly	🇺🇸 USA 1	41	80.5%	0.22
25	J.Thompson	🇦🇺 AUSTRALIA	59	79.7%	0.27
26	Y.Liu	🇸🇬 SINGAPORE	59	79.7%	0.29
27	B.Snowden	🇺🇸 USA 2	49	79.6%	0.27
28	K.Rosenberg	🇺🇸 USA 1	54	79.6%	0.28
29	C.Deheeger	🇫🇷 FRANCE	44	79.5%	0.23
30	H.Levi	🇮🇱 ISRAEL	68	79.4%	0.29
31	V.Kiljan	🇳🇱 NETHERLANDS	58	79.3%	0.24
32	M.Rimstedt	🇸🇪 SWEDEN	52	78.8%	0.23
33	Q.Wang	🇨🇳 CHINA	60	78.3%	0.30
34	I.Gronkvist	🇸🇪 SWEDEN	55	78.2%	0.26
35	A.Majcher	🇵🇱 POLAND	55	78.2%	0.27
36	B.Norton	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	64	78.1%	0.27
37	C.Zhao	🇨🇳 CHINA	32	78.1%	0.41
38	G.Langlet	🇫🇷 FRANCE	41	78.0%	0.24
39	H.Guo	🇹🇼 CHINESE TAIPEI	41	78.0%	0.32
40	J.Zamora Villamizar	🇨🇴 COLOMBIA	77	77.9%	0.35
41	A.Zamir	🇮🇱 ISRAEL	72	77.8%	0.22
42	S.Amer	🇺🇸 USA 2	63	77.8%	0.27
43	KUSHARI SAYANTAN	🇮🇳 INDIA	49	77.6%	0.31
44	R.Narendra	🇮🇩 INDONESIA	53	77.4%	0.28
45	G.Herman	🇺🇸 USA 2	44	77.3%	0.23
46	A.Kaplan	🇺🇸 USA 1	57	77.2%	0.32
47	A.Gaiotti	🇮🇹 ITALY	56	76.8%	0.32
48	H.Tang	🇭🇰 CHINA HONG KONG	47	76.6%	0.32
49	M.Solihin	🇮🇩 INDONESIA	34	76.5%	0.27
50	G.Mendes De Leon	🇳🇱 NETHERLANDS	55	76.4%	0.26
51	G.Percario	🇮🇹 ITALY	46	76.1%	0.30
52	P.Marcinowski	🇵🇱 POLAND	67	76.1%	0.31
53	T.Tseng	🇭🇰 CHINA HONG KONG	46	76.1%	0.39
54	ROY SAGNIK	🇮🇳 INDIA	79	75.9%	0.34
55	F.Von Brudersdorff	🇨🇴 COLOMBIA	41	75.6%	0.32
56	L.Tijssen	🇳🇱 NETHERLANDS	44	75.0%	0.27
57	B.Combescure	🇫🇷 FRANCE	60	75.0%	0.28
58	B.Miao	🇨🇳 CHINA	60	75.0%	0.32
59	D.Ramirez	🇨🇱 CHILE	80	75.0%	0.35
60	G.Guridi	🇨🇱 CHILE	78	74.4%	0.28
61	P.Cazabon	🇨🇱 CHILE	89	74.2%	0.30
62	S.Scata	🇮🇹 ITALY	62	74.2%	0.34
63	A.Stokka	🇸🇪 SWEDEN	34	73.5%	0.29
64	A.Asulin	🇮🇱 ISRAEL	60	73.3%	0.33
65	O.Toledano	🇮🇱 ISRAEL	75	73.3%	0.40
66	P.Haw	🇸🇬 SINGAPORE	56	73.2%	0.30
67	T.Chan	🇭🇰 CHINA HONG KONG	63	73.0%	0.40
68	R.Sau	🇮🇹 ITALY	44	72.7%	0.36
69	A.Ashraf	🇪🇬 EGYPT	69	72.5%	0.30
70	V.He	🇳🇿 NEW ZEALAND	57	71.9%	0.39
71	K.Ashraf	🇪🇬 EGYPT	71	71.8%	0.37
72	S.Hult	🇸🇪 SWEDEN	46	71.7%	0.30
73	C.Laloubeyre	🇫🇷 FRANCE	46	71.7%	0.30
74	H.Huang	🇹🇼 CHINESE TAIPEI	42	71.4%	0.43
75	J.Cuervo Lopera	🇨🇴 COLOMBIA	101	71.3%	0.39
76	K.Bossonney	🇨🇱 CHILE	52	71.2%	0.33
77	KAR SOUVIK	🇮🇳 INDIA	62	71.0%	0.34
78	Y.Wang	🇹🇼 CHINESE TAIPEI	51	70.6%	0.41
79	T.Makgosa	BOTSWANA	34	70.6%	0.50
80	W.Zhu	🇺🇸 USA 2	44	70.5%	0.34
81	O.Shaheen	🇪🇬 EGYPT	98	70.4%	0.34
82	N.Mitchell	🇳🇿 NEW ZEALAND	81	70.4%	0.36
83	S.Kennedy	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	37	70.3%	0.46
84	A.Spooner	🇦🇺 AUSTRALIA	50	70.0%	0.30
85	T.Wan	🇭🇰 CHINA HONG KONG	43	69.8%	0.40
86	A.Manganella	🇮🇹 ITALY	46	69.6%	0.39
87	X.Zhu	🇨🇦 CANADA	62	69.4%	0.39
88	H.Febriyanto	🇮🇩 INDONESIA	52	69.2%	0.36
89	Z.Yan	🇳🇿 NEW ZEALAND	81	69.1%	0.33
90	Y.Li	🇹🇼 CHINESE TAIPEI	68	69.1%	0.35
91	B.Johnston	🇳🇿 NEW ZEALAND	74	68.9%	0.41
92	C.Pelaelo	BOTSWANA	61	68.9%	0.47
93	BOSE BABHRUBAHAN	🇮🇳 INDIA	48	68.8%	0.38
94	P.Chen	🇹🇼 CHINESE TAIPEI	60	68.3%	0.37
95	P.Man	🇭🇰 CHINA HONG KONG	37	67.6%	0.32
96	O.Tshupelo	BOTSWANA	71	67.6%	0.49
97	G.Lafont	🇫🇷 FRANCE	43	67.4%	0.51
98	X.Zhu	🇸🇬 SINGAPORE	52	67.3%	0.39
99	M.Zhou	🇸🇬 SINGAPORE	69	66.7%	0.36
100	N.Correa Laguna	🇨🇴 COLOMBIA	70	65.7%	0.53
101	K.Lam	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	37	64.9%	0.46
102	F.Mcgrath	🇦🇺 AUSTRALIA	53	64.2%	0.43
103	M.Santoso	🇮🇩 INDONESIA	36	63.9%	0.39
104	T.Libman	🇦🇺 AUSTRALIA	36	63.9%	0.42
105	A.Naser	🇪🇬 EGYPT	59	62.7%	0.42
106	M.Satriawan	🇮🇩 INDONESIA	59	62.7%	0.47
107	A.Dhir	🇺🇸 USA 2	45	62.2%	0.56
108	S.Macdonald	🇨🇦 CANADA	36	61.1%	0.64
109	D.Cozart	🇨🇦 CANADA	51	60.8%	0.59
110	S.Mcilwain	🇨🇦 CANADA	55	60.0%	0.55
111	P.Ramoseki	BOTSWANA	55	60.0%	0.69
112	X.Yang	🇨🇦 CANADA	32	56.2%	0.62
113	K.Tabona	BOTSWANA	44	54.5%	0.50
114	L.Thee	BOTSWANA	40	52.5%	0.55
115	K.Jiang	🇨🇦 CANADA	44	52.3%	0.64
116	R.Chan	🇸🇬 SINGAPORE	28	85.7%	0.14
117	A.Ezion	🇮🇱 ISRAEL	7	85.7%	0.14
118	J.Ong	🇸🇬 SINGAPORE	29	79.3%	0.21
119	PRAKASH ANIRUDH	🇮🇳 INDIA	24	79.2%	0.21
120	M.Youssef	🇪🇬 EGYPT	4	75.0%	0.25
121	J.Zawada	🇵🇱 POLAND	13	69.2%	0.39
122	E.Sucharda	🇵🇱 POLAND	12	66.7%	0.33
123	A.Yekutieli	🇮🇱 ISRAEL	5	60.0%	0.60
124	ACHARYA SHUBHAM	🇮🇳 INDIA	31	54.8%	0.58

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.Rimstedt	🇸🇪 SWEDEN	103	95.1%	0.06
2	O.Rimstedt	🇸🇪 SWEDEN	103	95.1%	0.06
3	Z.Grossack	🇺🇸 USA 1	85	91.8%	0.11
4	O.Kriegel	🇺🇸 USA 1	85	91.8%	0.11
5	C.Zhao	🇨🇳 CHINA	72	91.7%	0.08
6	B.Kristensen	🇺🇸 USA 1	83	91.6%	0.10
7	K.Rosenberg	🇺🇸 USA 1	83	91.6%	0.10
8	V.Kiljan	🇳🇱 NETHERLANDS	94	90.4%	0.14
9	L.Tijssen	🇳🇱 NETHERLANDS	94	90.4%	0.14
10	S.Hult	🇸🇪 SWEDEN	99	89.9%	0.12
11	A.Stokka	🇸🇪 SWEDEN	99	89.9%	0.12
12	P.Haw	🇸🇬 SINGAPORE	105	89.5%	0.13
13	Y.Liu	🇸🇬 SINGAPORE	105	89.5%	0.13
14	KUSHARI SAYANTAN	🇮🇳 INDIA	123	89.4%	0.11
15	ROY SAGNIK	🇮🇳 INDIA	123	89.4%	0.11
16	I.Gronkvist	🇸🇪 SWEDEN	93	89.2%	0.12
17	M.Gronkvist	🇸🇪 SWEDEN	93	89.2%	0.12
18	A.Manganella	🇮🇹 ITALY	102	89.2%	0.14
19	S.Scata	🇮🇹 ITALY	102	89.2%	0.14
20	G.Herman	🇺🇸 USA 2	116	88.8%	0.14
21	B.Snowden	🇺🇸 USA 2	116	88.8%	0.14
22	K.Lam	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	97	88.7%	0.13
23	T.Nonnenmacher	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	97	88.7%	0.13
24	R.Narendra	🇮🇩 INDONESIA	104	88.5%	0.15
25	S.Wijayanto	🇮🇩 INDONESIA	104	88.5%	0.15
26	M.Schols	🇳🇱 NETHERLANDS	93	88.2%	0.15
27	R.Westerbeek	🇳🇱 NETHERLANDS	93	88.2%	0.15
28	G.Mendes De Leon	🇳🇱 NETHERLANDS	101	88.1%	0.14
29	T.Sprinkhuizen	🇳🇱 NETHERLANDS	101	88.1%	0.14
30	BOSE BABHRUBAHAN	🇮🇳 INDIA	126	88.1%	0.15
31	KAR SOUVIK	🇮🇳 INDIA	126	88.1%	0.15
32	A.Asulin	🇮🇱 ISRAEL	138	87.7%	0.14
33	H.Levi	🇮🇱 ISRAEL	138	87.7%	0.14
34	O.Toledano	🇮🇱 ISRAEL	146	87.7%	0.14
35	A.Zamir	🇮🇱 ISRAEL	146	87.7%	0.14
36	G.Percario	🇮🇹 ITALY	105	87.6%	0.13
37	R.Sau	🇮🇹 ITALY	105	87.6%	0.13
38	M.Chodacki	🇵🇱 POLAND	150	86.7%	0.15
39	B.Miao	🇨🇳 CHINA	132	86.4%	0.14
40	C.Deheeger	🇫🇷 FRANCE	81	86.4%	0.16
41	G.Langlet	🇫🇷 FRANCE	81	86.4%	0.16
42	M.Sobczak	🇵🇱 POLAND	140	86.4%	0.17
43	C.Jolly	🇺🇸 USA 1	110	85.5%	0.16
44	A.Kaplan	🇺🇸 USA 1	110	85.5%	0.16
45	S.Gu	🇨🇳 CHINA	144	85.4%	0.15
46	J.Bernard	🇫🇷 FRANCE	109	85.3%	0.17
47	B.Combescure	🇫🇷 FRANCE	109	85.3%	0.17
48	S.Macdonald	🇨🇦 CANADA	80	85.0%	0.17
49	K.Jin	🇨🇳 CHINA	113	85.0%	0.18
50	A.Ashraf	🇪🇬 EGYPT	119	84.9%	0.17
51	T.Tseng	🇭🇰 CHINA HONG KONG	92	84.8%	0.17
52	T.Wan	🇭🇰 CHINA HONG KONG	92	84.8%	0.17
53	X.Yang	🇨🇦 CANADA	72	84.7%	0.18
54	R.Cooper	🇦🇺 AUSTRALIA	78	84.6%	0.19
55	F.Mcgrath	🇦🇺 AUSTRALIA	78	84.6%	0.19
56	S.Natt	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	106	84.0%	0.21
57	B.Norton	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	106	84.0%	0.21
58	H.Guo	🇹🇼 CHINESE TAIPEI	99	83.8%	0.20
59	H.Huang	🇹🇼 CHINESE TAIPEI	99	83.8%	0.20
60	K.Bossonney	🇨🇱 CHILE	153	83.7%	0.18
61	P.Cazabon	🇨🇱 CHILE	153	83.7%	0.18
62	Q.Wang	🇨🇳 CHINA	119	83.2%	0.19
63	A.Majcher	🇵🇱 POLAND	142	83.1%	0.20
64	F.Chiarandini	🇮🇹 ITALY	83	83.1%	0.27
65	A.Gaiotti	🇮🇹 ITALY	83	83.1%	0.27
66	S.Amer	🇺🇸 USA 2	100	83.0%	0.22
67	Y.Yin	🇺🇸 USA 2	100	83.0%	0.22
68	G.Lafont	🇫🇷 FRANCE	93	82.8%	0.20
69	C.Laloubeyre	🇫🇷 FRANCE	93	82.8%	0.20
70	O.Shaheen	🇪🇬 EGYPT	127	82.7%	0.22
71	G.Guridi	🇨🇱 CHILE	136	82.4%	0.22
72	D.Ramirez	🇨🇱 CHILE	136	82.4%	0.22
73	M.Smith	🇦🇺 AUSTRALIA	116	81.9%	0.22
74	J.Thompson	🇦🇺 AUSTRALIA	116	81.9%	0.22
75	P.Chen	🇹🇼 CHINESE TAIPEI	83	81.9%	0.22
76	Y.Wang	🇹🇼 CHINESE TAIPEI	83	81.9%	0.22
77	M.Alishaw	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	94	81.9%	0.23
78	S.Kennedy	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	94	81.9%	0.23
79	P.Marcinowski	🇵🇱 POLAND	143	81.8%	0.22
80	P.Man	🇭🇰 CHINA HONG KONG	97	81.4%	0.22
81	H.Tang	🇭🇰 CHINA HONG KONG	97	81.4%	0.22
82	Y.Li	🇹🇼 CHINESE TAIPEI	94	80.9%	0.23
83	K.Lin	🇹🇼 CHINESE TAIPEI	94	80.9%	0.23
84	J.Cuervo Lopera	🇨🇴 COLOMBIA	146	80.8%	0.26
85	F.Von Brudersdorff	🇨🇴 COLOMBIA	146	80.8%	0.26
86	M.Zhou	🇸🇬 SINGAPORE	129	80.6%	0.26
87	X.Zhu	🇸🇬 SINGAPORE	129	80.6%	0.26
88	A.Naser	🇪🇬 EGYPT	143	80.4%	0.23
89	H.Febriyanto	🇮🇩 INDONESIA	112	80.4%	0.24
90	M.Satriawan	🇮🇩 INDONESIA	112	80.4%	0.24
91	N.Correa Laguna	🇨🇴 COLOMBIA	146	80.1%	0.24
92	J.Zamora Villamizar	🇨🇴 COLOMBIA	146	80.1%	0.24
93	T.Libman	🇦🇺 AUSTRALIA	95	80.0%	0.23
94	A.Spooner	🇦🇺 AUSTRALIA	95	80.0%	0.23
95	M.Santoso	🇮🇩 INDONESIA	84	79.8%	0.27
96	M.Solihin	🇮🇩 INDONESIA	84	79.8%	0.27
97	V.He	🇳🇿 NEW ZEALAND	156	79.5%	0.26
98	Z.Yan	🇳🇿 NEW ZEALAND	156	79.5%	0.26
99	L.Thee	BOTSWANA	63	79.4%	0.24
100	A.Dhir	🇺🇸 USA 2	92	79.3%	0.23
101	W.Zhu	🇺🇸 USA 2	92	79.3%	0.23
102	X.Zhu	🇨🇦 CANADA	141	78.7%	0.25
103	K.Jiang	🇨🇦 CANADA	133	78.2%	0.26
104	P.Ramoseki	BOTSWANA	90	77.8%	0.29
105	K.Ashraf	🇪🇬 EGYPT	151	77.5%	0.28
106	B.Johnston	🇳🇿 NEW ZEALAND	137	77.4%	0.29
107	N.Mitchell	🇳🇿 NEW ZEALAND	137	77.4%	0.29
108	T.Chan	🇭🇰 CHINA HONG KONG	110	77.3%	0.26
109	E.Moo	🇭🇰 CHINA HONG KONG	110	77.3%	0.26
110	K.Tabona	BOTSWANA	65	76.9%	0.28
111	T.Makgosa	BOTSWANA	78	76.9%	0.31
112	D.Cozart	🇨🇦 CANADA	87	75.9%	0.31
113	S.Mcilwain	🇨🇦 CANADA	87	75.9%	0.31
114	C.Pelaelo	BOTSWANA	138	75.4%	0.30
115	O.Tshupelo	BOTSWANA	126	74.6%	0.32
116	J.Zawada	🇵🇱 POLAND	30	96.7%	0.07
117	M.Youssef	🇪🇬 EGYPT	15	86.7%	0.13
118	R.Chan	🇸🇬 SINGAPORE	55	85.5%	0.14
119	J.Ong	🇸🇬 SINGAPORE	55	85.5%	0.14
120	E.Sucharda	🇵🇱 POLAND	27	85.2%	0.15
121	A.Ezion	🇮🇱 ISRAEL	15	80.0%	0.33
122	A.Yekutieli	🇮🇱 ISRAEL	15	80.0%	0.33
123	ACHARYA SHUBHAM	🇮🇳 INDIA	43	79.1%	0.28
124	PRAKASH ANIRUDH	🇮🇳 INDIA	43	79.1%	0.28
125	A.Khamis	🇪🇬 EGYPT	15	73.3%	0.27

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	B.Kristensen	🇺🇸 USA 1	182	-0.22	+1.61	+1.39	·
2	K.Rosenberg	🇺🇸 USA 1	182	-0.22	+1.61	+1.39	·
3	Z.Grossack	🇺🇸 USA 1	196	-0.03	+0.99	+0.96	·
4	O.Kriegel	🇺🇸 USA 1	196	-0.03	+0.99	+0.96	·
5	M.Sobczak	🇵🇱 POLAND	252	+0.06	+0.85	+0.92	▲2
6	M.Schols	🇳🇱 NETHERLANDS	182	-0.03	+0.88	+0.85	▼1
7	R.Westerbeek	🇳🇱 NETHERLANDS	182	-0.03	+0.88	+0.85	▼1
8	J.Bernard	🇫🇷 FRANCE	238	+0.01	+0.80	+0.82	·
9	B.Combescure	🇫🇷 FRANCE	238	+0.01	+0.80	+0.82	·
10	M.Rimstedt	🇸🇪 SWEDEN	210	+0.10	+0.66	+0.76	▲3
11	O.Rimstedt	🇸🇪 SWEDEN	210	+0.10	+0.66	+0.76	▲3
12	M.Chodacki	🇵🇱 POLAND	280	-0.05	+0.77	+0.73	▼2
13	P.Haw	🇸🇬 SINGAPORE	224	+0.01	+0.65	+0.65	▲2
14	Y.Liu	🇸🇬 SINGAPORE	224	+0.01	+0.65	+0.65	▲2
15	A.Asulin	🇮🇱 ISRAEL	266	-0.00	+0.61	+0.61	▲4
16	H.Levi	🇮🇱 ISRAEL	266	-0.00	+0.61	+0.61	▲4
17	G.Herman	🇺🇸 USA 2	210	-0.17	+0.71	+0.53	▼6
18	B.Snowden	🇺🇸 USA 2	210	-0.17	+0.71	+0.53	▼6
19	B.Miao	🇨🇳 CHINA	266	-0.08	+0.59	+0.51	▲2
20	I.Gronkvist	🇸🇪 SWEDEN	196	-0.13	+0.63	+0.51	▼3
21	M.Gronkvist	🇸🇪 SWEDEN	196	-0.13	+0.63	+0.51	▼3
22	S.Gu	🇨🇳 CHINA	294	-0.12	+0.55	+0.43	·
23	O.Toledano	🇮🇱 ISRAEL	294	-0.01	+0.43	+0.42	▲4
24	A.Zamir	🇮🇱 ISRAEL	294	-0.01	+0.43	+0.42	▲4
25	R.Narendra	🇮🇩 INDONESIA	210	-0.02	+0.42	+0.40	▲4
26	S.Wijayanto	🇮🇩 INDONESIA	210	-0.02	+0.42	+0.40	▲4
27	M.Zhou	🇸🇬 SINGAPORE	252	+0.04	+0.35	+0.39	▲10
28	X.Zhu	🇸🇬 SINGAPORE	252	+0.04	+0.35	+0.39	▲10
29	KUSHARI SAYANTAN	🇮🇳 INDIA	252	-0.12	+0.48	+0.36	▼4
30	ROY SAGNIK	🇮🇳 INDIA	252	-0.12	+0.48	+0.36	▼4
31	C.Jolly	🇺🇸 USA 1	210	-0.04	+0.38	+0.34	▲4
32	A.Kaplan	🇺🇸 USA 1	210	-0.04	+0.38	+0.34	▲4
33	P.Marcinowski	🇵🇱 POLAND	266	+0.17	+0.13	+0.30	▲22
34	V.Kiljan	🇳🇱 NETHERLANDS	196	-0.10	+0.40	+0.30	▼3
35	L.Tijssen	🇳🇱 NETHERLANDS	196	-0.10	+0.40	+0.30	▼3
36	S.Amer	🇺🇸 USA 2	196	-0.13	+0.40	+0.27	▼3
37	Y.Yin	🇺🇸 USA 2	196	-0.13	+0.40	+0.27	▼3
38	S.Hult	🇸🇪 SWEDEN	182	+0.10	+0.17	+0.27	▲15
39	A.Stokka	🇸🇪 SWEDEN	182	+0.10	+0.17	+0.27	▲15
40	C.Deheeger	🇫🇷 FRANCE	168	-0.28	+0.54	+0.26	▼17
41	G.Langlet	🇫🇷 FRANCE	168	-0.28	+0.54	+0.26	▼17
42	R.Cooper	🇦🇺 AUSTRALIA	182	+0.14	+0.09	+0.23	▲18
43	F.Mcgrath	🇦🇺 AUSTRALIA	182	+0.14	+0.09	+0.23	▲18
44	A.Dhir	🇺🇸 USA 2	182	+0.19	+0.03	+0.22	▲18
45	W.Zhu	🇺🇸 USA 2	182	+0.19	+0.03	+0.22	▲18
46	A.Majcher	🇵🇱 POLAND	266	+0.02	+0.20	+0.21	·
47	G.Mendes De Leon	🇳🇱 NETHERLANDS	210	+0.03	+0.17	+0.20	▲2
48	T.Sprinkhuizen	🇳🇱 NETHERLANDS	210	+0.03	+0.17	+0.20	▲2
49	J.Cuervo Lopera	🇨🇴 COLOMBIA	294	-0.00	+0.20	+0.20	▼9
50	F.Von Brudersdorff	🇨🇴 COLOMBIA	294	-0.00	+0.20	+0.20	▼9
51	T.Chan	🇭🇰 CHINA HONG KONG	224	+0.01	+0.18	+0.19	▼4
52	E.Moo	🇭🇰 CHINA HONG KONG	224	+0.01	+0.18	+0.19	▼4
53	M.Smith	🇦🇺 AUSTRALIA	224	-0.04	+0.20	+0.17	▼11
54	J.Thompson	🇦🇺 AUSTRALIA	224	-0.04	+0.20	+0.17	▼11
55	K.Lam	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	196	-0.04	+0.20	+0.16	▼11
56	T.Nonnenmacher	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	196	-0.04	+0.20	+0.16	▼11
57	S.Natt	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	224	+0.01	+0.12	+0.13	▼1
58	B.Norton	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	224	+0.01	+0.12	+0.13	▼1
59	C.Zhao	🇨🇳 CHINA	140	-0.21	+0.32	+0.11	▼20
60	G.Percario	🇮🇹 ITALY	196	+0.26	-0.16	+0.10	▲15
61	R.Sau	🇮🇹 ITALY	196	+0.26	-0.16	+0.10	▲15
62	Q.Wang	🇨🇳 CHINA	252	+0.05	-0.01	+0.04	▲3
63	T.Libman	🇦🇺 AUSTRALIA	182	-0.14	+0.17	+0.04	▼12
64	A.Spooner	🇦🇺 AUSTRALIA	182	-0.14	+0.17	+0.04	▼12
65	G.Lafont	🇫🇷 FRANCE	182	+0.11	-0.14	-0.03	▲7
66	C.Laloubeyre	🇫🇷 FRANCE	182	+0.11	-0.14	-0.03	▲7
67	H.Febriyanto	🇮🇩 INDONESIA	224	+0.16	-0.23	-0.07	▲15
68	M.Satriawan	🇮🇩 INDONESIA	224	+0.16	-0.23	-0.07	▲15
69	A.Manganella	🇮🇹 ITALY	210	-0.18	+0.11	-0.07	▼11
70	S.Scata	🇮🇹 ITALY	210	-0.18	+0.11	-0.07	▼11
71	K.Jin	🇨🇳 CHINA	224	+0.13	-0.22	-0.09	▲10
72	O.Shaheen	🇪🇬 EGYPT	294	+0.06	-0.15	-0.09	▲2
73	F.Chiarandini	🇮🇹 ITALY	182	-0.02	-0.09	-0.11	▼3
74	A.Gaiotti	🇮🇹 ITALY	182	-0.02	-0.09	-0.11	▼3
75	A.Ashraf	🇪🇬 EGYPT	266	-0.12	-0.01	-0.13	▼11
76	H.Guo	🇹🇼 CHINESE TAIPEI	182	-0.11	-0.02	-0.13	▼8
77	H.Huang	🇹🇼 CHINESE TAIPEI	182	-0.11	-0.02	-0.13	▼8
78	G.Guridi	🇨🇱 CHILE	294	+0.08	-0.24	-0.16	▲6
79	D.Ramirez	🇨🇱 CHILE	294	+0.08	-0.24	-0.16	▲6
80	Y.Li	🇹🇼 CHINESE TAIPEI	210	-0.16	-0.01	-0.18	▼14
81	K.Lin	🇹🇼 CHINESE TAIPEI	210	-0.16	-0.01	-0.18	▼14
82	BOSE BABHRUBAHAN	🇮🇳 INDIA	238	+0.14	-0.36	-0.22	▲6
83	KAR SOUVIK	🇮🇳 INDIA	238	+0.14	-0.36	-0.22	▲6
84	K.Bossonney	🇨🇱 CHILE	294	+0.09	-0.31	-0.22	▲2
85	P.Cazabon	🇨🇱 CHILE	294	+0.09	-0.31	-0.22	▲2
86	P.Chen	🇹🇼 CHINESE TAIPEI	196	+0.32	-0.57	-0.25	▲15
87	Y.Wang	🇹🇼 CHINESE TAIPEI	196	+0.32	-0.57	-0.25	▲15
88	M.Santoso	🇮🇩 INDONESIA	154	-0.06	-0.20	-0.27	▼9
89	M.Solihin	🇮🇩 INDONESIA	154	-0.06	-0.20	-0.27	▼9
90	T.Tseng	🇭🇰 CHINA HONG KONG	182	-0.12	-0.18	-0.29	▼13
91	T.Wan	🇭🇰 CHINA HONG KONG	182	-0.12	-0.18	-0.29	▼13
92	X.Zhu	🇨🇦 CANADA	252	+0.08	-0.46	-0.38	▲3
93	K.Jiang	🇨🇦 CANADA	238	+0.05	-0.45	-0.40	▲1
94	N.Correa Laguna	🇨🇴 COLOMBIA	294	+0.06	-0.49	-0.42	▲2
95	J.Zamora Villamizar	🇨🇴 COLOMBIA	294	+0.06	-0.49	-0.42	▲2
96	P.Man	🇭🇰 CHINA HONG KONG	182	-0.05	-0.38	-0.43	▼6
97	H.Tang	🇭🇰 CHINA HONG KONG	182	-0.05	-0.38	-0.43	▼6
98	M.Alishaw	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	168	-0.06	-0.40	-0.46	▼6
99	S.Kennedy	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	168	-0.06	-0.40	-0.46	▼6
100	S.Macdonald	🇨🇦 CANADA	154	+0.04	-0.53	-0.50	▼1
101	X.Yang	🇨🇦 CANADA	140	-0.02	-0.52	-0.55	▼3
102	B.Johnston	🇳🇿 NEW ZEALAND	294	+0.05	-0.60	-0.55	▲1
103	N.Mitchell	🇳🇿 NEW ZEALAND	294	+0.05	-0.60	-0.55	▲1
104	K.Ashraf	🇪🇬 EGYPT	294	+0.14	-0.72	-0.57	▲1
105	A.Naser	🇪🇬 EGYPT	266	-0.06	-0.54	-0.59	▼5
106	V.He	🇳🇿 NEW ZEALAND	294	+0.01	-1.10	-1.09	·
107	Z.Yan	🇳🇿 NEW ZEALAND	294	+0.01	-1.10	-1.09	·
108	D.Cozart	🇨🇦 CANADA	196	+0.18	-1.29	-1.11	·
109	S.Mcilwain	🇨🇦 CANADA	196	+0.18	-1.29	-1.11	·
110	T.Makgosa	BOTSWANA	154	+0.06	-1.36	-1.30	·
111	C.Pelaelo	BOTSWANA	266	+0.17	-1.52	-1.35	·
112	O.Tshupelo	BOTSWANA	266	+0.17	-1.66	-1.49	▲1
113	P.Ramoseki	BOTSWANA	182	-0.02	-1.53	-1.55	▼1
114	L.Thee	BOTSWANA	140	+0.22	-2.44	-2.22	·
115	K.Tabona	BOTSWANA	168	+0.16	-2.95	-2.78	·

Stages

Statistics