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	A.Abragi	🇸🇪 SWEDEN	168	+1.40	+236.0
2	M.Bertheau	🇸🇪 SWEDEN	168	+1.40	+236.0
3	T.Toesse	🇳🇴 NORWAY	132	+1.36	+179.0
4	Z.Cui	🇨🇳 CHINA 3	144	+1.22	+175.0
5	M.Hu	🇺🇸 USA	156	+1.10	+172.0
6	A.Zhou	🇺🇸 USA	156	+1.10	+172.0
7	DZIUBA JAKUB	🇵🇱 POLAND	120	+1.08	+130.0
8	A.Grochowski	🇵🇱 POLAND	120	+1.08	+130.0
9	D.Msika	🇮🇱 ISRAEL	180	+0.90	+162.0
10	O.Sabbah	🇮🇱 ISRAEL	180	+0.90	+162.0
11	A.Gallard	🇫🇷 FRANCE	204	+0.80	+164.0
12	L.Rombaut	🇫🇷 FRANCE	204	+0.80	+164.0
13	MALLOSIS AIMILIANOS	🇬🇷 GREECE	144	+0.76	+109.0
14	M.Soumplis	🇬🇷 GREECE	144	+0.76	+109.0
15	Y.Ai	🇨🇳 CHINA 1	204	+0.75	+153.0
16	Y.Jin	🇨🇳 CHINA 1	204	+0.75	+153.0
17	K.Dransfeld	🇩🇪 GERMANY	204	+0.74	+151.0
18	M.Guendel	🇩🇪 GERMANY	204	+0.74	+151.0
19	S.Liu	🇨🇳 CHINA 3	192	+0.72	+138.0
20	K.Brekke	🇳🇴 NORWAY	120	+0.72	+86.0
21	N.Berger	🇮🇱 ISRAEL	168	+0.64	+107.0
22	S.Zur	🇮🇱 ISRAEL	168	+0.64	+107.0
23	A.Bune	🇩🇰 DENMARK	180	+0.59	+106.0
24	C.Pedersen	🇩🇰 DENMARK	180	+0.59	+106.0
25	J.Fegarty	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	132	+0.58	+77.0
26	L.Fegarty	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	132	+0.58	+77.0
27	C.Johnsen	🇳🇴 NORWAY	132	+0.54	+71.0
28	M.Saetre	🇳🇴 NORWAY	132	+0.54	+71.0
29	H.Dong	🇨🇦 CANADA	204	+0.47	+96.0
30	M.Zhao	🇨🇦 CANADA	204	+0.47	+96.0
31	Z.Cheng	🇨🇦 CANADA	204	+0.46	+93.0
32	C.He	🇨🇦 CANADA	204	+0.46	+93.0
33	R.Xiao	🇺🇸 USA	156	+0.42	+65.0
34	J.Yue	🇺🇸 USA	156	+0.42	+65.0
35	Y.Wang	🇨🇳 CHINA 2	144	+0.42	+60.0
36	Y.Xie	🇨🇳 CHINA 2	144	+0.42	+60.0
37	J.Bakhshi	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	132	+0.38	+50.0
38	J.Miao	🇨🇳 CHINA 1	144	+0.36	+52.0
39	R.Song	🇨🇳 CHINA 1	144	+0.36	+52.0
40	K.Kuflowski	🇵🇱 POLAND	156	+0.36	+56.0
41	F.Kurlit	🇵🇱 POLAND	156	+0.36	+56.0
42	R.Bloch	🇫🇷 FRANCE	204	+0.30	+62.0
43	T.Zobel	🇫🇷 FRANCE	204	+0.30	+62.0
44	I.Er	🇹🇷 TURKEY	132	+0.22	+29.0
45	Q.Gan	🇨🇳 CHINA 2	156	+0.17	+26.0
46	X.Wang	🇨🇳 CHINA 2	156	+0.17	+26.0
47	H.Rose	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	144	+0.16	+23.0
48	A.Cope	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	132	+0.16	+21.0
49	M.Austad	🇳🇴 NORWAY	168	+0.11	+18.0
50	T.Chen	🇨🇳 CHINA 3	204	+0.09	+19.0
51	L.Hsu	🇹🇼 CHINESE TAIPEI	144	+0.08	+11.0
52	R.Xie	🇹🇼 CHINESE TAIPEI	144	+0.08	+11.0
53	A.Tylvad	🇩🇰 DENMARK	192	+0.07	+13.0
54	D.Tylvad	🇩🇰 DENMARK	192	+0.07	+13.0
55	X.Dai	🇨🇳 CHINA 3	180	+0.02	+3.0
56	T.Altun	🇹🇷 TURKEY	204	-0.00	-1.0
57	I.Lundqvist	🇸🇪 SWEDEN	132	-0.01	-1.0
58	T.Lundqvist	🇸🇪 SWEDEN	132	-0.01	-1.0
59	O.Selby	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	144	-0.04	-6.0
60	U.Eren	🇹🇷 TURKEY	180	-0.04	-8.0
61	S.Bora	🇹🇷 TURKEY	168	-0.09	-15.0
62	H.Luba	🇺🇸 USA	96	-0.17	-16.0
63	M.Xu	🇺🇸 USA	96	-0.17	-16.0
64	N.Mallosi	🇬🇷 GREECE	108	-0.24	-26.0
65	I.Virvidakis	🇬🇷 GREECE	108	-0.24	-26.0
66	E.Langer	🇩🇪 GERMANY	204	-0.30	-61.0
67	F.Paolella	🇩🇪 GERMANY	204	-0.30	-61.0
68	A.Brogeland	🇳🇴 NORWAY	132	-0.36	-47.0
69	M.Bjoerk Heed	🇸🇪 SWEDEN	108	-0.38	-41.0
70	A.Nilsson	🇸🇪 SWEDEN	108	-0.38	-41.0
71	PATEL KUNAL	🇮🇳 INDIA	144	-0.42	-60.0
72	PATEL VINAY	🇮🇳 INDIA	144	-0.42	-60.0
73	K.Ciborowski	🇵🇱 POLAND	132	-0.51	-67.0
74	K.Kowal	🇵🇱 POLAND	132	-0.51	-67.0
75	J.Feng	🇨🇳 CHINA 2	108	-0.64	-69.0
76	H.Ma	🇨🇳 CHINA 2	108	-0.64	-69.0
77	I.Foteinakis	🇬🇷 GREECE	156	-0.76	-119.0
78	I.Papaspyrou	🇬🇷 GREECE	156	-0.76	-119.0
79	K.Lo	🇹🇼 CHINESE TAIPEI	108	-0.80	-86.0
80	C.Wang	🇹🇼 CHINESE TAIPEI	108	-0.80	-86.0
81	T.Chen	🇹🇼 CHINESE TAIPEI	156	-1.21	-188.0
82	C.Lu	🇹🇼 CHINESE TAIPEI	156	-1.21	-188.0
83	W.Phatshwane	BOTSWANA	108	-1.78	-192.0
84	G.Gosalamang	BOTSWANA	132	-2.08	-274.0
85	C.Kengaletswe	BOTSWANA	120	-2.09	-251.0
86	MENEZES KAMRYN	🇮🇳 INDIA	132	-2.50	-330.0
87	PINTO JOHANN JOSE	🇮🇳 INDIA	132	-2.50	-330.0
88	L.Onkutlule	BOTSWANA	144	-2.69	-388.0
89	M.Mokgethi	BOTSWANA	168	-2.85	-479.0
90	INDHU MANOJ SHASHANK	🇮🇳 INDIA	132	-3.10	-409.0
91	S.Jaiswal	🇮🇳 INDIA	132	-3.10	-409.0
92	R.Lentswe	BOTSWANA	144	-3.19	-460.0
93	Z.Wang	🇨🇳 CHINA 3	24	+1.79	+43.0
94	Y.Lu	🇨🇳 CHINA 3	72	+0.83	+60.0
95	D.Muti	🇹🇷 TURKEY	60	+0.55	+33.0
96	T.Fu	🇨🇳 CHINA 1	60	+0.20	+12.0
97	L.Tang	🇨🇳 CHINA 1	60	+0.20	+12.0
98	L.Batzia Greenberg	🇮🇱 ISRAEL	60	-0.13	-8.0
99	Y.Fixel	🇮🇱 ISRAEL	60	-0.13	-8.0
100	E.Civici	🇹🇷 TURKEY	72	-0.25	-18.0
101	F.Altenburg	🇩🇰 DENMARK	36	-2.00	-72.0
102	L.Thrane Jacobsen	🇩🇰 DENMARK	36	-2.00	-72.0

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	N.Mallosi	🇬🇷 GREECE	28	92.9%	0.07
2	MALLOSIS AIMILIANOS	🇬🇷 GREECE	34	91.2%	0.21
3	T.Lundqvist	🇸🇪 SWEDEN	37	89.2%	0.16
4	H.Luba	🇺🇸 USA	18	88.9%	0.11
5	A.Nilsson	🇸🇪 SWEDEN	25	88.0%	0.16
6	M.Xu	🇺🇸 USA	25	88.0%	0.32
7	A.Abragi	🇸🇪 SWEDEN	33	87.9%	0.12
8	T.Altun	🇹🇷 TURKEY	46	87.0%	0.17
9	M.Guendel	🇩🇪 GERMANY	57	86.0%	0.14
10	A.Grochowski	🇵🇱 POLAND	28	85.7%	0.18
11	K.Dransfeld	🇩🇪 GERMANY	49	85.7%	0.18
12	J.Yue	🇺🇸 USA	33	84.8%	0.15
13	A.Cope	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	26	84.6%	0.19
14	A.Gallard	🇫🇷 FRANCE	45	84.4%	0.27
15	R.Lentswe	BOTSWANA	44	84.1%	0.18
16	Y.Ai	🇨🇳 CHINA 1	50	84.0%	0.18
17	K.Kuflowski	🇵🇱 POLAND	31	83.9%	0.16
18	K.Ciborowski	🇵🇱 POLAND	43	83.7%	0.16
19	Z.Cheng	🇨🇦 CANADA	43	83.7%	0.23
20	Q.Gan	🇨🇳 CHINA 2	48	83.3%	0.19
21	Z.Cui	🇨🇳 CHINA 3	47	83.0%	0.21
22	O.Sabbah	🇮🇱 ISRAEL	41	82.9%	0.20
23	PATEL VINAY	🇮🇳 INDIA	29	82.8%	0.24
24	Y.Xie	🇨🇳 CHINA 2	34	82.4%	0.27
25	K.Brekke	🇳🇴 NORWAY	33	81.8%	0.18
26	M.Soumplis	🇬🇷 GREECE	33	81.8%	0.21
27	X.Wang	🇨🇳 CHINA 2	43	81.4%	0.21
28	R.Bloch	🇫🇷 FRANCE	48	81.2%	0.21
29	F.Paolella	🇩🇪 GERMANY	64	81.2%	0.25
30	S.Liu	🇨🇳 CHINA 3	52	80.8%	0.21
31	T.Chen	🇨🇳 CHINA 3	46	80.4%	0.24
32	M.Zhao	🇨🇦 CANADA	46	80.4%	0.30
33	D.Msika	🇮🇱 ISRAEL	45	80.0%	0.22
34	Y.Jin	🇨🇳 CHINA 1	35	80.0%	0.29
35	H.Ma	🇨🇳 CHINA 2	20	80.0%	0.30
36	S.Bora	🇹🇷 TURKEY	49	79.6%	0.27
37	R.Xie	🇹🇼 CHINESE TAIPEI	48	79.2%	0.27
38	PATEL KUNAL	🇮🇳 INDIA	43	79.1%	0.28
39	F.Kurlit	🇵🇱 POLAND	37	78.4%	0.22
40	K.Kowal	🇵🇱 POLAND	37	78.4%	0.27
41	H.Rose	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	32	78.1%	0.22
42	E.Langer	🇩🇪 GERMANY	41	78.0%	0.29
43	T.Chen	🇹🇼 CHINESE TAIPEI	41	78.0%	0.37
44	H.Dong	🇨🇦 CANADA	36	77.8%	0.22
45	M.Austad	🇳🇴 NORWAY	36	77.8%	0.31
46	A.Bune	🇩🇰 DENMARK	58	77.6%	0.31
47	R.Xiao	🇺🇸 USA	39	76.9%	0.23
48	M.Saetre	🇳🇴 NORWAY	39	76.9%	0.28
49	A.Tylvad	🇩🇰 DENMARK	43	76.7%	0.26
50	R.Song	🇨🇳 CHINA 1	38	76.3%	0.24
51	I.Lundqvist	🇸🇪 SWEDEN	38	76.3%	0.26
52	J.Bakhshi	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	38	76.3%	0.29
53	L.Rombaut	🇫🇷 FRANCE	42	76.2%	0.26
54	K.Lo	🇹🇼 CHINESE TAIPEI	29	75.9%	0.24
55	C.He	🇨🇦 CANADA	62	75.8%	0.26
56	A.Brogeland	🇳🇴 NORWAY	33	75.8%	0.27
57	DZIUBA JAKUB	🇵🇱 POLAND	41	75.6%	0.41
58	O.Selby	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	36	75.0%	0.31
59	M.Bjoerk Heed	🇸🇪 SWEDEN	24	75.0%	0.33
60	S.Jaiswal	🇮🇳 INDIA	39	74.4%	0.46
61	INDHU MANOJ SHASHANK	🇮🇳 INDIA	35	74.3%	0.31
62	J.Feng	🇨🇳 CHINA 2	31	74.2%	0.26
63	T.Toesse	🇳🇴 NORWAY	27	74.1%	0.37
64	L.Onkutlule	BOTSWANA	46	73.9%	0.35
65	L.Hsu	🇹🇼 CHINESE TAIPEI	41	73.2%	0.39
66	C.Wang	🇹🇼 CHINESE TAIPEI	26	73.1%	0.39
67	I.Virvidakis	🇬🇷 GREECE	33	72.7%	0.30
68	A.Zhou	🇺🇸 USA	33	72.7%	0.48
69	S.Zur	🇮🇱 ISRAEL	40	72.5%	0.30
70	M.Hu	🇺🇸 USA	39	71.8%	0.41
71	X.Dai	🇨🇳 CHINA 3	39	71.8%	0.41
72	D.Tylvad	🇩🇰 DENMARK	53	71.7%	0.28
73	M.Mokgethi	BOTSWANA	49	71.4%	0.39
74	PINTO JOHANN JOSE	🇮🇳 INDIA	35	71.4%	0.40
75	U.Eren	🇹🇷 TURKEY	28	71.4%	0.43
76	M.Bertheau	🇸🇪 SWEDEN	38	71.1%	0.42
77	J.Miao	🇨🇳 CHINA 1	38	71.1%	0.47
78	J.Fegarty	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	31	71.0%	0.32
79	C.Pedersen	🇩🇰 DENMARK	31	71.0%	0.39
80	I.Papaspyrou	🇬🇷 GREECE	34	70.6%	0.32
81	Y.Wang	🇨🇳 CHINA 2	34	70.6%	0.38
82	N.Berger	🇮🇱 ISRAEL	44	70.5%	0.39
83	C.Lu	🇹🇼 CHINESE TAIPEI	30	70.0%	0.37
84	I.Foteinakis	🇬🇷 GREECE	33	69.7%	0.30
85	I.Er	🇹🇷 TURKEY	33	69.7%	0.30
86	T.Zobel	🇫🇷 FRANCE	36	69.4%	0.42
87	C.Kengaletswe	BOTSWANA	34	67.6%	0.44
88	L.Fegarty	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	39	66.7%	0.41
89	G.Gosalamang	BOTSWANA	44	65.9%	0.41
90	MENEZES KAMRYN	🇮🇳 INDIA	42	64.3%	0.43
91	C.Johnsen	🇳🇴 NORWAY	27	59.3%	0.44
92	W.Phatshwane	BOTSWANA	37	56.8%	0.54
93	Z.Wang	🇨🇳 CHINA 3	1	100.0%	0.00
94	F.Altenburg	🇩🇰 DENMARK	7	100.0%	0.00
95	Y.Lu	🇨🇳 CHINA 3	16	93.8%	0.06
96	T.Fu	🇨🇳 CHINA 1	17	88.2%	0.12
97	L.Batzia Greenberg	🇮🇱 ISRAEL	16	87.5%	0.12
98	L.Tang	🇨🇳 CHINA 1	17	82.4%	0.23
99	Y.Fixel	🇮🇱 ISRAEL	11	81.8%	0.18
100	E.Civici	🇹🇷 TURKEY	22	77.3%	0.27
101	D.Muti	🇹🇷 TURKEY	15	73.3%	0.33
102	L.Thrane Jacobsen	🇩🇰 DENMARK	9	44.4%	0.67

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	T.Toesse	🇳🇴 NORWAY	29	86.2%	0.24
2	M.Hu	🇺🇸 USA	41	85.4%	0.17
3	L.Hsu	🇹🇼 CHINESE TAIPEI	34	85.3%	0.15
4	J.Fegarty	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	32	84.4%	0.22
5	Z.Cheng	🇨🇦 CANADA	61	83.6%	0.26
6	M.Austad	🇳🇴 NORWAY	47	83.0%	0.19
7	A.Gallard	🇫🇷 FRANCE	58	82.8%	0.22
8	I.Er	🇹🇷 TURKEY	29	82.8%	0.24
9	O.Selby	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	34	82.4%	0.21
10	A.Brogeland	🇳🇴 NORWAY	33	81.8%	0.33
11	Y.Xie	🇨🇳 CHINA 2	33	81.8%	0.36
12	A.Zhou	🇺🇸 USA	43	81.4%	0.21
13	A.Grochowski	🇵🇱 POLAND	26	80.8%	0.31
14	T.Altun	🇹🇷 TURKEY	76	80.3%	0.32
15	DZIUBA JAKUB	🇵🇱 POLAND	25	80.0%	0.24
16	H.Luba	🇺🇸 USA	25	80.0%	0.24
17	C.Pedersen	🇩🇰 DENMARK	44	79.5%	0.23
18	A.Cope	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	39	79.5%	0.39
19	D.Msika	🇮🇱 ISRAEL	44	79.5%	0.39
20	N.Berger	🇮🇱 ISRAEL	48	79.2%	0.25
21	R.Song	🇨🇳 CHINA 1	28	78.6%	0.32
22	R.Xiao	🇺🇸 USA	37	78.4%	0.27
23	M.Bertheau	🇸🇪 SWEDEN	50	78.0%	0.26
24	M.Xu	🇺🇸 USA	27	77.8%	0.26
25	C.Johnsen	🇳🇴 NORWAY	36	77.8%	0.31
26	C.Wang	🇹🇼 CHINESE TAIPEI	27	77.8%	0.37
27	F.Kurlit	🇵🇱 POLAND	53	77.4%	0.41
28	M.Bjoerk Heed	🇸🇪 SWEDEN	22	77.3%	0.36
29	S.Zur	🇮🇱 ISRAEL	35	77.1%	0.31
30	I.Virvidakis	🇬🇷 GREECE	26	76.9%	0.27
31	I.Papaspyrou	🇬🇷 GREECE	47	76.6%	0.28
32	K.Dransfeld	🇩🇪 GERMANY	55	76.4%	0.40
33	O.Sabbah	🇮🇱 ISRAEL	46	76.1%	0.26
34	Y.Ai	🇨🇳 CHINA 1	62	75.8%	0.31
35	K.Brekke	🇳🇴 NORWAY	37	75.7%	0.32
36	S.Liu	🇨🇳 CHINA 3	41	75.6%	0.24
37	T.Zobel	🇫🇷 FRANCE	69	75.4%	0.30
38	L.Rombaut	🇫🇷 FRANCE	59	74.6%	0.32
39	C.He	🇨🇦 CANADA	38	73.7%	0.37
40	D.Tylvad	🇩🇰 DENMARK	53	73.6%	0.36
41	MALLOSIS AIMILIANOS	🇬🇷 GREECE	34	73.5%	0.41
42	A.Abragi	🇸🇪 SWEDEN	45	73.3%	0.47
43	M.Guendel	🇩🇪 GERMANY	41	73.2%	0.27
44	PATEL VINAY	🇮🇳 INDIA	37	73.0%	0.27
45	R.Bloch	🇫🇷 FRANCE	48	72.9%	0.38
46	X.Wang	🇨🇳 CHINA 2	33	72.7%	0.39
47	M.Zhao	🇨🇦 CANADA	65	72.3%	0.41
48	A.Nilsson	🇸🇪 SWEDEN	36	72.2%	0.33
49	J.Miao	🇨🇳 CHINA 1	39	71.8%	0.33
50	J.Feng	🇨🇳 CHINA 2	28	71.4%	0.32
51	N.Mallosi	🇬🇷 GREECE	21	71.4%	0.38
52	E.Langer	🇩🇪 GERMANY	45	71.1%	0.36
53	Q.Gan	🇨🇳 CHINA 2	31	71.0%	0.35
54	I.Lundqvist	🇸🇪 SWEDEN	24	70.8%	0.33
55	X.Dai	🇨🇳 CHINA 3	41	70.7%	0.37
56	U.Eren	🇹🇷 TURKEY	44	70.5%	0.39
57	H.Ma	🇨🇳 CHINA 2	27	70.4%	0.37
58	J.Bakhshi	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	30	70.0%	0.43
59	F.Paolella	🇩🇪 GERMANY	53	69.8%	0.43
60	Y.Jin	🇨🇳 CHINA 1	56	69.6%	0.36
61	K.Lo	🇹🇼 CHINESE TAIPEI	26	69.2%	0.46
62	M.Soumplis	🇬🇷 GREECE	42	69.0%	0.33
63	A.Tylvad	🇩🇰 DENMARK	41	68.3%	0.51
64	K.Kowal	🇵🇱 POLAND	25	68.0%	0.40
65	T.Chen	🇨🇳 CHINA 3	62	67.7%	0.48
66	R.Xie	🇹🇼 CHINESE TAIPEI	21	66.7%	0.43
67	K.Kuflowski	🇵🇱 POLAND	33	66.7%	0.46
68	H.Dong	🇨🇦 CANADA	57	66.7%	0.47
69	I.Foteinakis	🇬🇷 GREECE	41	65.9%	0.54
70	M.Saetre	🇳🇴 NORWAY	29	65.5%	0.38
71	S.Bora	🇹🇷 TURKEY	37	64.9%	0.46
72	Y.Wang	🇨🇳 CHINA 2	42	64.3%	0.48
73	A.Bune	🇩🇰 DENMARK	47	63.8%	0.45
74	J.Yue	🇺🇸 USA	47	63.8%	0.49
75	PATEL KUNAL	🇮🇳 INDIA	35	62.9%	0.54
76	MENEZES KAMRYN	🇮🇳 INDIA	24	62.5%	0.54
77	C.Lu	🇹🇼 CHINESE TAIPEI	38	60.5%	0.50
78	H.Rose	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	38	60.5%	0.58
79	L.Fegarty	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	30	56.7%	0.57
80	T.Lundqvist	🇸🇪 SWEDEN	31	54.8%	0.52
81	K.Ciborowski	🇵🇱 POLAND	26	53.8%	0.61
82	Z.Cui	🇨🇳 CHINA 3	32	53.1%	0.62
83	T.Chen	🇹🇼 CHINESE TAIPEI	46	52.2%	0.74
84	S.Jaiswal	🇮🇳 INDIA	35	48.6%	0.91
85	PINTO JOHANN JOSE	🇮🇳 INDIA	30	46.7%	0.93
86	W.Phatshwane	BOTSWANA	13	46.2%	1.00
87	M.Mokgethi	BOTSWANA	39	43.6%	1.10
88	INDHU MANOJ SHASHANK	🇮🇳 INDIA	21	38.1%	1.29
89	C.Kengaletswe	BOTSWANA	22	36.4%	1.04
90	L.Onkutlule	BOTSWANA	31	35.5%	1.16
91	R.Lentswe	BOTSWANA	23	34.8%	1.22
92	G.Gosalamang	BOTSWANA	24	33.3%	0.96
93	Y.Lu	🇨🇳 CHINA 3	19	84.2%	0.16
94	T.Fu	🇨🇳 CHINA 1	11	81.8%	0.36
95	L.Batzia Greenberg	🇮🇱 ISRAEL	16	81.2%	0.19
96	L.Tang	🇨🇳 CHINA 1	15	80.0%	0.27
97	Z.Wang	🇨🇳 CHINA 3	10	80.0%	0.30
98	L.Thrane Jacobsen	🇩🇰 DENMARK	10	80.0%	0.50
99	F.Altenburg	🇩🇰 DENMARK	10	70.0%	0.30
100	E.Civici	🇹🇷 TURKEY	16	68.8%	0.31
101	Y.Fixel	🇮🇱 ISRAEL	17	58.8%	0.65
102	D.Muti	🇹🇷 TURKEY	10	50.0%	0.60

Defensive accuracy↑ top

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

#	Player	Team	Boards	On target	Conceded
1	D.Msika	🇮🇱 ISRAEL	86	90.7%	0.10
2	O.Sabbah	🇮🇱 ISRAEL	86	90.7%	0.10
3	A.Abragi	🇸🇪 SWEDEN	71	90.1%	0.11
4	M.Bertheau	🇸🇪 SWEDEN	71	90.1%	0.11
5	Y.Wang	🇨🇳 CHINA 2	68	89.7%	0.10
6	Y.Xie	🇨🇳 CHINA 2	68	89.7%	0.10
7	J.Bakhshi	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	65	89.2%	0.11
8	M.Hu	🇺🇸 USA	72	88.9%	0.11
9	A.Zhou	🇺🇸 USA	72	88.9%	0.11
10	A.Tylvad	🇩🇰 DENMARK	96	88.5%	0.16
11	D.Tylvad	🇩🇰 DENMARK	96	88.5%	0.16
12	H.Rose	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	71	87.3%	0.13
13	MALLOSIS AIMILIANOS	🇬🇷 GREECE	67	86.6%	0.16
14	M.Soumplis	🇬🇷 GREECE	67	86.6%	0.16
15	S.Liu	🇨🇳 CHINA 3	108	86.1%	0.18
16	PATEL KUNAL	🇮🇳 INDIA	72	86.1%	0.25
17	PATEL VINAY	🇮🇳 INDIA	72	86.1%	0.25
18	H.Luba	🇺🇸 USA	43	86.0%	0.21
19	M.Xu	🇺🇸 USA	43	86.0%	0.21
20	N.Berger	🇮🇱 ISRAEL	84	85.7%	0.17
21	S.Zur	🇮🇱 ISRAEL	84	85.7%	0.17
22	A.Gallard	🇫🇷 FRANCE	87	85.1%	0.21
23	L.Rombaut	🇫🇷 FRANCE	87	85.1%	0.21
24	K.Brekke	🇳🇴 NORWAY	60	85.0%	0.22
25	T.Chen	🇹🇼 CHINESE TAIPEI	71	84.5%	0.20
26	C.Lu	🇹🇼 CHINESE TAIPEI	71	84.5%	0.20
27	R.Bloch	🇫🇷 FRANCE	84	84.5%	0.23
28	T.Zobel	🇫🇷 FRANCE	84	84.5%	0.23
29	A.Bune	🇩🇰 DENMARK	89	84.3%	0.17
30	C.Pedersen	🇩🇰 DENMARK	89	84.3%	0.17
31	Z.Cui	🇨🇳 CHINA 3	82	84.1%	0.21
32	T.Toesse	🇳🇴 NORWAY	63	84.1%	0.22
33	I.Foteinakis	🇬🇷 GREECE	67	83.6%	0.18
34	I.Papaspyrou	🇬🇷 GREECE	67	83.6%	0.18
35	Y.Ai	🇨🇳 CHINA 1	85	83.5%	0.19
36	Y.Jin	🇨🇳 CHINA 1	85	83.5%	0.19
37	H.Dong	🇨🇦 CANADA	82	82.9%	0.20
38	M.Zhao	🇨🇦 CANADA	82	82.9%	0.20
39	J.Feng	🇨🇳 CHINA 2	51	82.4%	0.20
40	H.Ma	🇨🇳 CHINA 2	51	82.4%	0.20
41	K.Dransfeld	🇩🇪 GERMANY	106	82.1%	0.22
42	M.Guendel	🇩🇪 GERMANY	106	82.1%	0.22
43	E.Langer	🇩🇪 GERMANY	105	81.9%	0.21
44	F.Paolella	🇩🇪 GERMANY	105	81.9%	0.21
45	C.Johnsen	🇳🇴 NORWAY	66	81.8%	0.26
46	M.Saetre	🇳🇴 NORWAY	66	81.8%	0.26
47	J.Miao	🇨🇳 CHINA 1	76	81.6%	0.26
48	R.Song	🇨🇳 CHINA 1	76	81.6%	0.26
49	X.Dai	🇨🇳 CHINA 3	81	81.5%	0.20
50	K.Kuflowski	🇵🇱 POLAND	68	80.9%	0.19
51	F.Kurlit	🇵🇱 POLAND	68	80.9%	0.19
52	T.Chen	🇨🇳 CHINA 3	94	80.9%	0.20
53	A.Cope	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	61	80.3%	0.25
54	M.Austad	🇳🇴 NORWAY	74	79.7%	0.24
55	DZIUBA JAKUB	🇵🇱 POLAND	69	79.7%	0.32
56	A.Grochowski	🇵🇱 POLAND	69	79.7%	0.32
57	M.Bjoerk Heed	🇸🇪 SWEDEN	49	79.6%	0.27
58	A.Nilsson	🇸🇪 SWEDEN	49	79.6%	0.27
59	R.Xiao	🇺🇸 USA	72	79.2%	0.28
60	J.Yue	🇺🇸 USA	72	79.2%	0.28
61	O.Selby	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	67	79.1%	0.25
62	S.Bora	🇹🇷 TURKEY	90	78.9%	0.29
63	K.Ciborowski	🇵🇱 POLAND	80	78.8%	0.26
64	K.Kowal	🇵🇱 POLAND	80	78.8%	0.26
65	J.Fegarty	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	70	78.6%	0.24
66	L.Fegarty	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	70	78.6%	0.24
67	Z.Cheng	🇨🇦 CANADA	105	78.1%	0.35
68	C.He	🇨🇦 CANADA	105	78.1%	0.35
69	A.Brogeland	🇳🇴 NORWAY	61	77.0%	0.28
70	Q.Gan	🇨🇳 CHINA 2	91	76.9%	0.32
71	X.Wang	🇨🇳 CHINA 2	91	76.9%	0.32
72	T.Altun	🇹🇷 TURKEY	78	75.6%	0.33
73	C.Kengaletswe	BOTSWANA	72	75.0%	0.32
74	I.Er	🇹🇷 TURKEY	72	75.0%	0.33
75	N.Mallosi	🇬🇷 GREECE	61	73.8%	0.26
76	I.Virvidakis	🇬🇷 GREECE	61	73.8%	0.26
77	U.Eren	🇹🇷 TURKEY	68	73.5%	0.35
78	I.Lundqvist	🇸🇪 SWEDEN	75	73.3%	0.32
79	T.Lundqvist	🇸🇪 SWEDEN	75	73.3%	0.32
80	K.Lo	🇹🇼 CHINESE TAIPEI	55	72.7%	0.34
81	C.Wang	🇹🇼 CHINESE TAIPEI	55	72.7%	0.34
82	INDHU MANOJ SHASHANK	🇮🇳 INDIA	74	71.6%	0.43
83	S.Jaiswal	🇮🇳 INDIA	74	71.6%	0.43
84	L.Hsu	🇹🇼 CHINESE TAIPEI	89	69.7%	0.34
85	R.Xie	🇹🇼 CHINESE TAIPEI	89	69.7%	0.34
86	MENEZES KAMRYN	🇮🇳 INDIA	77	68.8%	0.38
87	PINTO JOHANN JOSE	🇮🇳 INDIA	77	68.8%	0.38
88	M.Mokgethi	BOTSWANA	96	66.7%	0.43
89	L.Onkutlule	BOTSWANA	91	65.9%	0.48
90	W.Phatshwane	BOTSWANA	71	63.4%	0.56
91	G.Gosalamang	BOTSWANA	88	62.5%	0.59
92	R.Lentswe	BOTSWANA	90	55.6%	0.64
93	Z.Wang	🇨🇳 CHINA 3	5	100.0%	0.00
94	E.Civici	🇹🇷 TURKEY	43	86.0%	0.14
95	Y.Lu	🇨🇳 CHINA 3	32	84.4%	0.16
96	D.Muti	🇹🇷 TURKEY	35	82.9%	0.17
97	L.Batzia Greenberg	🇮🇱 ISRAEL	27	81.5%	0.26
98	Y.Fixel	🇮🇱 ISRAEL	27	81.5%	0.26
99	F.Altenburg	🇩🇰 DENMARK	16	81.2%	0.19
100	L.Thrane Jacobsen	🇩🇰 DENMARK	16	81.2%	0.19
101	T.Fu	🇨🇳 CHINA 1	34	79.4%	0.21
102	L.Tang	🇨🇳 CHINA 1	34	79.4%	0.21

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.Abragi	🇸🇪 SWEDEN	168	-0.15	+1.51	+1.36	·
2	M.Bertheau	🇸🇪 SWEDEN	168	-0.15	+1.51	+1.36	·
3	Z.Cui	🇨🇳 CHINA 3	144	+0.44	+0.56	+1.00	▲19
4	D.Msika	🇮🇱 ISRAEL	180	-0.20	+1.16	+0.95	▼1
5	O.Sabbah	🇮🇱 ISRAEL	180	-0.20	+1.16	+0.95	▼1
6	Y.Ai	🇨🇳 CHINA 1	204	-0.08	+1.01	+0.93	·
7	Y.Jin	🇨🇳 CHINA 1	204	-0.08	+1.01	+0.93	·
8	R.Xiao	🇺🇸 USA	156	+0.29	+0.59	+0.88	▲8
9	J.Yue	🇺🇸 USA	156	+0.29	+0.59	+0.88	▲8
10	S.Liu	🇨🇳 CHINA 3	192	+0.35	+0.48	+0.83	▲15
11	A.Cope	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	132	+0.13	+0.68	+0.81	▲4
12	H.Dong	🇨🇦 CANADA	204	-0.06	+0.85	+0.80	▼2
13	M.Zhao	🇨🇦 CANADA	204	-0.06	+0.85	+0.80	▼2
14	M.Hu	🇺🇸 USA	156	-0.18	+0.93	+0.75	▼6
15	A.Zhou	🇺🇸 USA	156	-0.18	+0.93	+0.75	▼6
16	O.Selby	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	144	+0.16	+0.52	+0.68	▲7
17	T.Toesse	🇳🇴 NORWAY	132	-0.45	+1.10	+0.64	▼12
18	H.Luba	🇺🇸 USA	96	+0.17	+0.45	+0.63	▲14
19	M.Xu	🇺🇸 USA	96	+0.17	+0.45	+0.63	▲14
20	R.Bloch	🇫🇷 FRANCE	204	-0.05	+0.57	+0.53	·
21	T.Zobel	🇫🇷 FRANCE	204	-0.05	+0.57	+0.53	·
22	A.Brogeland	🇳🇴 NORWAY	132	+0.03	+0.50	+0.52	▲2
23	M.Austad	🇳🇴 NORWAY	168	-0.20	+0.72	+0.52	▼11
24	K.Kuflowski	🇵🇱 POLAND	156	-0.23	+0.70	+0.48	▼11
25	F.Kurlit	🇵🇱 POLAND	156	-0.23	+0.70	+0.48	▼11
26	I.Foteinakis	🇬🇷 GREECE	156	+0.19	+0.24	+0.43	▲14
27	I.Papaspyrou	🇬🇷 GREECE	156	+0.19	+0.24	+0.43	▲14
28	A.Gallard	🇫🇷 FRANCE	204	-0.22	+0.58	+0.36	▼10
29	L.Rombaut	🇫🇷 FRANCE	204	-0.22	+0.58	+0.36	▼10
30	A.Bune	🇩🇰 DENMARK	180	-0.10	+0.46	+0.36	▼2
31	C.Pedersen	🇩🇰 DENMARK	180	-0.10	+0.46	+0.36	▼2
32	C.Johnsen	🇳🇴 NORWAY	132	+0.21	+0.10	+0.31	▲18
33	M.Saetre	🇳🇴 NORWAY	132	+0.21	+0.10	+0.31	▲18
34	Y.Wang	🇨🇳 CHINA 2	144	-0.12	+0.39	+0.26	▲1
35	Y.Xie	🇨🇳 CHINA 2	144	-0.12	+0.39	+0.26	▲1
36	N.Berger	🇮🇱 ISRAEL	168	+0.05	+0.21	+0.25	▲7
37	S.Zur	🇮🇱 ISRAEL	168	+0.05	+0.21	+0.25	▲7
38	K.Brekke	🇳🇴 NORWAY	120	-0.15	+0.39	+0.25	▼4
39	DZIUBA JAKUB	🇵🇱 POLAND	120	-0.23	+0.46	+0.23	▼9
40	A.Grochowski	🇵🇱 POLAND	120	-0.23	+0.46	+0.23	▼9
41	Z.Cheng	🇨🇦 CANADA	204	+0.04	+0.18	+0.22	▲7
42	C.He	🇨🇦 CANADA	204	+0.04	+0.18	+0.22	▲7
43	K.Dransfeld	🇩🇪 GERMANY	204	-0.26	+0.47	+0.22	▼17
44	M.Guendel	🇩🇪 GERMANY	204	-0.26	+0.47	+0.22	▼17
45	MALLOSIS AIMILIANOS	🇬🇷 GREECE	144	+0.00	+0.20	+0.21	·
46	M.Soumplis	🇬🇷 GREECE	144	+0.00	+0.20	+0.21	·
47	A.Tylvad	🇩🇰 DENMARK	192	+0.17	+0.03	+0.20	▲8
48	D.Tylvad	🇩🇰 DENMARK	192	+0.17	+0.03	+0.20	▲8
49	J.Miao	🇨🇳 CHINA 1	144	+0.21	-0.03	+0.18	▲8
50	R.Song	🇨🇳 CHINA 1	144	+0.21	-0.03	+0.18	▲8
51	J.Bakhshi	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	132	-0.03	+0.19	+0.17	▼4
52	K.Ciborowski	🇵🇱 POLAND	132	+0.47	-0.32	+0.15	▲15
53	K.Kowal	🇵🇱 POLAND	132	+0.47	-0.32	+0.15	▲15
54	U.Eren	🇹🇷 TURKEY	180	-0.14	+0.29	+0.14	▼15
55	T.Chen	🇨🇳 CHINA 3	204	-0.27	+0.39	+0.12	▼18
56	H.Rose	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	144	+0.01	+0.07	+0.09	▼2
57	Q.Gan	🇨🇳 CHINA 2	156	+0.21	-0.13	+0.08	▲6
58	X.Wang	🇨🇳 CHINA 2	156	+0.21	-0.13	+0.08	▲6
59	T.Altun	🇹🇷 TURKEY	204	-0.23	+0.29	+0.06	▼21
60	M.Bjoerk Heed	🇸🇪 SWEDEN	108	-0.03	+0.08	+0.06	▼8
61	A.Nilsson	🇸🇪 SWEDEN	108	-0.03	+0.08	+0.06	▼8
62	X.Dai	🇨🇳 CHINA 3	180	-0.21	+0.23	+0.01	▼20
63	I.Er	🇹🇷 TURKEY	132	+0.36	-0.39	-0.03	▲6
64	S.Bora	🇹🇷 TURKEY	168	+0.35	-0.42	-0.07	▲6
65	E.Langer	🇩🇪 GERMANY	204	-0.00	-0.10	-0.10	▼4
66	F.Paolella	🇩🇪 GERMANY	204	-0.00	-0.10	-0.10	▼4
67	J.Fegarty	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	132	-0.09	-0.08	-0.17	▼8
68	L.Fegarty	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	132	-0.09	-0.08	-0.17	▼8
69	T.Chen	🇹🇼 CHINESE TAIPEI	156	+0.32	-0.88	-0.56	▲10
70	C.Lu	🇹🇼 CHINESE TAIPEI	156	+0.32	-0.88	-0.56	▲10
71	J.Feng	🇨🇳 CHINA 2	108	-0.33	-0.23	-0.57	▼6
72	H.Ma	🇨🇳 CHINA 2	108	-0.33	-0.23	-0.57	▼6
73	I.Lundqvist	🇸🇪 SWEDEN	132	+0.11	-0.70	-0.59	▲2
74	T.Lundqvist	🇸🇪 SWEDEN	132	+0.11	-0.70	-0.59	▲2
75	K.Lo	🇹🇼 CHINESE TAIPEI	108	-0.20	-0.47	-0.66	▼4
76	C.Wang	🇹🇼 CHINESE TAIPEI	108	-0.20	-0.47	-0.66	▼4
77	L.Hsu	🇹🇼 CHINESE TAIPEI	144	+0.09	-0.80	-0.71	·
78	R.Xie	🇹🇼 CHINESE TAIPEI	144	+0.09	-0.80	-0.71	·
79	N.Mallosi	🇬🇷 GREECE	108	-0.14	-0.57	-0.71	▼6
80	I.Virvidakis	🇬🇷 GREECE	108	-0.14	-0.57	-0.71	▼6
81	PATEL KUNAL	🇮🇳 INDIA	144	+0.03	-0.89	-0.85	·
82	PATEL VINAY	🇮🇳 INDIA	144	+0.03	-0.89	-0.85	·
83	C.Kengaletswe	BOTSWANA	120	+0.26	-2.12	-1.86	·
84	MENEZES KAMRYN	🇮🇳 INDIA	132	+0.36	-2.25	-1.89	·
85	PINTO JOHANN JOSE	🇮🇳 INDIA	132	+0.36	-2.25	-1.89	·
86	G.Gosalamang	BOTSWANA	132	+0.51	-2.54	-2.03	·
87	W.Phatshwane	BOTSWANA	108	+0.07	-2.55	-2.48	·
88	L.Onkutlule	BOTSWANA	144	+0.34	-2.87	-2.52	▲3
89	M.Mokgethi	BOTSWANA	168	+0.05	-2.71	-2.66	▼1
90	INDHU MANOJ SHASHANK	🇮🇳 INDIA	132	-0.03	-2.75	-2.77	▼1
91	S.Jaiswal	🇮🇳 INDIA	132	-0.03	-2.75	-2.77	▼1
92	R.Lentswe	BOTSWANA	144	+0.15	-3.13	-2.98	·

Stages

Statistics