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	A.Ezion	🇮🇱 ISRAEL	182	+1.74	+316.0
2	A.Zamir	🇮🇱 ISRAEL	182	+1.74	+316.0
3	C.Spencer	🇺🇸 USA	168	+1.23	+207.0
4	S.Caspersen	🇩🇰 DENMARK	126	+1.13	+143.0
5	C.Lahrmann	🇩🇰 DENMARK	126	+1.13	+143.0
6	L.Stougie	🇳🇱 NETHERLANDS	182	+1.04	+189.0
7	M.Stougie	🇳🇱 NETHERLANDS	182	+1.04	+189.0
8	S.Jesse	🇩🇪 GERMANY	98	+1.01	+99.0
9	L.Vornkahl	🇩🇪 GERMANY	98	+1.01	+99.0
10	A.Lam	🇭🇰 CHINA HONG KONG	126	+0.94	+119.0
11	M.Wu	🇭🇰 CHINA HONG KONG	126	+0.94	+119.0
12	P.Pabst	🇩🇪 GERMANY	140	+0.94	+131.0
13	S.Van Oosten	🇩🇪 GERMANY	140	+0.94	+131.0
14	N.Chang	🇺🇸 USA	210	+0.93	+195.0
15	R.Pan	🇨🇳 CHINA	154	+0.92	+142.0
16	X.Wang	🇨🇳 CHINA	154	+0.92	+142.0
17	C.Chan	🇭🇰 CHINA HONG KONG	196	+0.90	+176.0
18	J.Tsang	🇭🇰 CHINA HONG KONG	196	+0.90	+176.0
19	F.Chiarandini	🇮🇹 ITALY	140	+0.77	+108.0
20	A.Gaiotti	🇮🇹 ITALY	140	+0.77	+108.0
21	P.Godlewski	🇵🇱 POLAND	154	+0.75	+116.0
22	K.Majewski	🇵🇱 POLAND	154	+0.75	+116.0
23	A.Manganella	🇮🇹 ITALY	196	+0.69	+135.0
24	S.Scata	🇮🇹 ITALY	196	+0.69	+135.0
25	O.Nijssen	🇳🇱 NETHERLANDS	154	+0.61	+94.0
26	S.Overvelde	🇳🇱 NETHERLANDS	154	+0.61	+94.0
27	D.Lee	🇸🇬 SINGAPORE	154	+0.59	+91.0
28	Y.Ling	🇸🇬 SINGAPORE	154	+0.59	+91.0
29	J.Andruszkiewicz	🇵🇱 POLAND	168	+0.54	+90.0
30	E.Sucharda	🇵🇱 POLAND	168	+0.54	+90.0
31	BOSE BABHRUBAHAN	🇮🇳 INDIA	182	+0.53	+97.0
32	T.Bodin	🇸🇪 SWEDEN	112	+0.51	+57.0
33	I.Petersen	🇸🇪 SWEDEN	112	+0.51	+57.0
34	Z.Fang	🇨🇳 CHINA	182	+0.48	+87.0
35	J.Tan	🇨🇳 CHINA	182	+0.48	+87.0
36	H.Berk	🇺🇸 USA	196	+0.47	+93.0
37	A.Leung	🇸🇬 SINGAPORE	168	+0.47	+79.0
38	Y.Liu	🇸🇬 SINGAPORE	168	+0.47	+79.0
39	A.Boulin	🇫🇷 FRANCE	182	+0.44	+80.0
40	T.Guillemin	🇫🇷 FRANCE	182	+0.44	+80.0
41	C.Chiang	🇹🇼 CHINESE TAIPEI	154	+0.41	+63.0
42	KUSHARI SAYANTAN	🇮🇳 INDIA	238	+0.37	+88.0
43	Y.Wang	🇹🇼 CHINESE TAIPEI	168	+0.34	+57.0
44	S.Bune	🇩🇰 DENMARK	140	+0.28	+39.0
45	M.Christensen	🇩🇰 DENMARK	140	+0.28	+39.0
46	I.Stephani	🇺🇸 USA	182	+0.27	+50.0
47	F.Alter	🇩🇪 GERMANY	238	+0.16	+39.0
48	L.Streck	🇩🇪 GERMANY	238	+0.16	+39.0
49	S.Clementsson	🇸🇪 SWEDEN	196	+0.10	+19.0
50	A.Sandin	🇸🇪 SWEDEN	196	+0.10	+19.0
51	G.Giubilo	🇮🇹 ITALY	140	+0.09	+13.0
52	F.Porta	🇮🇹 ITALY	140	+0.09	+13.0
53	R.Basler	🇫🇷 FRANCE	182	+0.07	+13.0
54	L.Bellicaud	🇫🇷 FRANCE	182	+0.07	+13.0
55	S.Maczka	🇵🇱 POLAND	154	+0.07	+11.0
56	L.Trendak	🇵🇱 POLAND	154	+0.07	+11.0
57	F.Beugin	🇫🇷 FRANCE	112	+0.06	+7.0
58	M.Dufrene	🇫🇷 FRANCE	112	+0.06	+7.0
59	K.Siew	🇸🇬 SINGAPORE	154	-0.05	-7.0
60	G.Yang	🇸🇬 SINGAPORE	154	-0.05	-7.0
61	S.Avital	🇮🇱 ISRAEL	98	-0.09	-9.0
62	I.Baniri	🇮🇱 ISRAEL	98	-0.09	-9.0
63	S.Bune	🇩🇰 DENMARK	210	-0.11	-24.0
64	V.Todd-Moir	🇩🇰 DENMARK	210	-0.11	-24.0
65	W.Chen	🇹🇼 CHINESE TAIPEI	154	-0.12	-18.0
66	E.Hansson	🇸🇪 SWEDEN	168	-0.12	-20.0
67	C.Mann	🇸🇪 SWEDEN	168	-0.12	-20.0
68	C.Chang	🇹🇼 CHINESE TAIPEI	168	-0.14	-24.0
69	D.Soukup	🇺🇸 USA	196	-0.17	-33.0
70	O.Toledano	🇮🇱 ISRAEL	196	-0.27	-52.0
71	A.Yekutieli	🇮🇱 ISRAEL	196	-0.27	-52.0
72	M.Balodis	🇱🇻 LATVIA	238	-0.28	-66.0
73	G.Dreimanis	🇱🇻 LATVIA	238	-0.28	-66.0
74	E.Gavrilova	🇱🇻 LATVIA	238	-0.32	-75.0
75	V.Ildeikins	🇱🇻 LATVIA	238	-0.32	-75.0
76	G.Panfili	🇧🇷 BRAZIL	182	-0.39	-71.0
77	N.Man	🇭🇰 CHINA HONG KONG	154	-0.40	-62.0
78	S.Tseng	🇭🇰 CHINA HONG KONG	154	-0.40	-62.0
79	Z.Cai	🇨🇳 CHINA	140	-0.46	-65.0
80	F.Yuan	🇨🇳 CHINA	140	-0.46	-65.0
81	ROY SAGNIK	🇮🇳 INDIA	238	-0.47	-113.0
82	R.Giannotti	🇧🇷 BRAZIL	196	-0.48	-94.0
83	KAR SOUVIK	🇮🇳 INDIA	196	-0.49	-97.0
84	C.Chen	🇹🇼 CHINESE TAIPEI	154	-0.51	-79.0
85	C.Shi	🇹🇼 CHINESE TAIPEI	154	-0.51	-79.0
86	Y.Caris	🇳🇱 NETHERLANDS	140	-0.68	-95.0
87	P.Dupont	🇳🇱 NETHERLANDS	140	-0.68	-95.0
88	L.Cuevas	🇨🇱 CHILE	196	-1.00	-196.0
89	F.Basoalto	🇨🇱 CHILE	210	-1.02	-215.0
90	J.Mautone	🇧🇷 BRAZIL	182	-1.07	-195.0
91	H.Salomao	🇧🇷 BRAZIL	196	-1.10	-215.0
92	N.Davila	🇨🇱 CHILE	210	-1.15	-241.0
93	B.Perez	🇨🇱 CHILE	224	-1.56	-349.0
94	G.Cacace	🇧🇲 BERMUDA	238	-1.68	-401.0
95	T.Irby	🇧🇲 BERMUDA	238	-1.68	-401.0
96	R.Cave	🇧🇲 BERMUDA	238	-1.90	-451.0
97	W.Peniston	🇧🇲 BERMUDA	238	-1.90	-451.0
98	H.Paoli	🇧🇷 BRAZIL	196	-2.27	-445.0
99	C.Smith	🇨🇱 CHILE	112	-2.38	-267.0
100	R.Vadumangudi Balasundaram	🇮🇳 INDIA	56	-2.18	-122.0
101	M.Shabeer	🇮🇳 INDIA	42	-3.07	-129.0

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	W.Chen	🇹🇼 CHINESE TAIPEI	35	94.3%	0.06
2	N.Chang	🇺🇸 USA	40	90.0%	0.10
3	G.Yang	🇸🇬 SINGAPORE	28	89.3%	0.11
4	M.Dufrene	🇫🇷 FRANCE	28	89.3%	0.11
5	R.Basler	🇫🇷 FRANCE	41	87.8%	0.15
6	H.Salomao	🇧🇷 BRAZIL	39	87.2%	0.13
7	J.Tan	🇨🇳 CHINA	46	87.0%	0.13
8	C.Smith	🇨🇱 CHILE	22	86.4%	0.14
9	H.Berk	🇺🇸 USA	50	86.0%	0.16
10	O.Toledano	🇮🇱 ISRAEL	21	85.7%	0.24
11	B.Perez	🇨🇱 CHILE	53	84.9%	0.15
12	T.Bodin	🇸🇪 SWEDEN	33	84.8%	0.18
13	Y.Ling	🇸🇬 SINGAPORE	46	84.8%	0.22
14	L.Cuevas	🇨🇱 CHILE	52	84.6%	0.15
15	F.Porta	🇮🇹 ITALY	36	83.3%	0.17
16	S.Avital	🇮🇱 ISRAEL	30	83.3%	0.17
17	C.Chang	🇹🇼 CHINESE TAIPEI	42	83.3%	0.24
18	I.Stephani	🇺🇸 USA	48	83.3%	0.25
19	A.Sandin	🇸🇪 SWEDEN	47	83.0%	0.21
20	Z.Cai	🇨🇳 CHINA	28	82.1%	0.18
21	K.Siew	🇸🇬 SINGAPORE	39	82.1%	0.20
22	E.Gavrilova	🇱🇻 LATVIA	56	82.1%	0.23
23	I.Petersen	🇸🇪 SWEDEN	28	82.1%	0.25
24	L.Bellicaud	🇫🇷 FRANCE	50	82.0%	0.18
25	G.Panfili	🇧🇷 BRAZIL	54	81.5%	0.22
26	S.Maczka	🇵🇱 POLAND	48	81.2%	0.19
27	L.Streck	🇩🇪 GERMANY	64	81.2%	0.23
28	KUSHARI SAYANTAN	🇮🇳 INDIA	53	81.1%	0.21
29	A.Leung	🇸🇬 SINGAPORE	47	80.9%	0.23
30	G.Giubilo	🇮🇹 ITALY	31	80.6%	0.19
31	M.Wu	🇭🇰 CHINA HONG KONG	31	80.6%	0.23
32	M.Christensen	🇩🇰 DENMARK	31	80.6%	0.26
33	J.Andruszkiewicz	🇵🇱 POLAND	41	80.5%	0.24
34	C.Chan	🇭🇰 CHINA HONG KONG	51	80.4%	0.20
35	R.Cave	🇧🇲 BERMUDA	61	80.3%	0.23
36	Y.Caris	🇳🇱 NETHERLANDS	25	80.0%	0.20
37	Y.Liu	🇸🇬 SINGAPORE	30	80.0%	0.27
38	S.Van Oosten	🇩🇪 GERMANY	40	80.0%	0.28
39	F.Chiarandini	🇮🇹 ITALY	29	79.3%	0.31
40	KAR SOUVIK	🇮🇳 INDIA	38	78.9%	0.24
41	C.Shi	🇹🇼 CHINESE TAIPEI	38	78.9%	0.26
42	R.Giannotti	🇧🇷 BRAZIL	57	78.9%	0.28
43	O.Nijssen	🇳🇱 NETHERLANDS	33	78.8%	0.27
44	V.Ildeikins	🇱🇻 LATVIA	66	78.8%	0.27
45	BOSE BABHRUBAHAN	🇮🇳 INDIA	47	78.7%	0.21
46	L.Vornkahl	🇩🇪 GERMANY	28	78.6%	0.21
47	C.Lahrmann	🇩🇰 DENMARK	37	78.4%	0.24
48	R.Pan	🇨🇳 CHINA	37	78.4%	0.24
49	E.Sucharda	🇵🇱 POLAND	46	78.3%	0.28
50	V.Todd-Moir	🇩🇰 DENMARK	55	78.2%	0.27
51	L.Stougie	🇳🇱 NETHERLANDS	41	78.0%	0.22
52	S.Scata	🇮🇹 ITALY	54	77.8%	0.24
53	S.Overvelde	🇳🇱 NETHERLANDS	45	77.8%	0.24
54	J.Tsang	🇭🇰 CHINA HONG KONG	49	77.6%	0.24
55	T.Guillemin	🇫🇷 FRANCE	40	77.5%	0.30
56	P.Godlewski	🇵🇱 POLAND	40	77.5%	0.35
57	F.Yuan	🇨🇳 CHINA	31	77.4%	0.29
58	S.Caspersen	🇩🇰 DENMARK	22	77.3%	0.23
59	P.Dupont	🇳🇱 NETHERLANDS	35	77.1%	0.26
60	F.Beugin	🇫🇷 FRANCE	35	77.1%	0.29
61	H.Paoli	🇧🇷 BRAZIL	48	77.1%	0.33
62	C.Chen	🇹🇼 CHINESE TAIPEI	39	76.9%	0.31
63	C.Spencer	🇺🇸 USA	47	76.6%	0.26
64	D.Soukup	🇺🇸 USA	47	76.6%	0.26
65	M.Balodis	🇱🇻 LATVIA	64	76.6%	0.28
66	G.Cacace	🇧🇲 BERMUDA	51	76.5%	0.29
67	S.Clementsson	🇸🇪 SWEDEN	55	76.4%	0.26
68	J.Mautone	🇧🇷 BRAZIL	55	76.4%	0.27
69	S.Bune	🇩🇰 DENMARK	38	76.3%	0.24
70	A.Boulin	🇫🇷 FRANCE	46	76.1%	0.28
71	C.Mann	🇸🇪 SWEDEN	46	76.1%	0.28
72	A.Zamir	🇮🇱 ISRAEL	50	76.0%	0.24
73	A.Manganella	🇮🇹 ITALY	50	76.0%	0.32
74	E.Hansson	🇸🇪 SWEDEN	54	75.9%	0.28
75	M.Stougie	🇳🇱 NETHERLANDS	45	75.6%	0.27
76	T.Irby	🇧🇲 BERMUDA	73	75.3%	0.26
77	L.Trendak	🇵🇱 POLAND	36	75.0%	0.25
78	A.Lam	🇭🇰 CHINA HONG KONG	36	75.0%	0.28
79	X.Wang	🇨🇳 CHINA	40	75.0%	0.35
80	F.Basoalto	🇨🇱 CHILE	64	75.0%	0.39
81	G.Dreimanis	🇱🇻 LATVIA	55	74.5%	0.26
82	ROY SAGNIK	🇮🇳 INDIA	70	74.3%	0.30
83	A.Ezion	🇮🇱 ISRAEL	42	73.8%	0.26
84	N.Man	🇭🇰 CHINA HONG KONG	38	73.7%	0.32
85	K.Majewski	🇵🇱 POLAND	34	73.5%	0.32
86	P.Pabst	🇩🇪 GERMANY	30	73.3%	0.30
87	S.Tseng	🇭🇰 CHINA HONG KONG	37	73.0%	0.35
88	A.Yekutieli	🇮🇱 ISRAEL	61	72.1%	0.33
89	Z.Fang	🇨🇳 CHINA	38	71.1%	0.34
90	S.Jesse	🇩🇪 GERMANY	24	70.8%	0.29
91	N.Davila	🇨🇱 CHILE	51	70.6%	0.31
92	D.Lee	🇸🇬 SINGAPORE	34	70.6%	0.35
93	F.Alter	🇩🇪 GERMANY	52	69.2%	0.35
94	W.Peniston	🇧🇲 BERMUDA	59	67.8%	0.42
95	A.Gaiotti	🇮🇹 ITALY	40	67.5%	0.38
96	C.Chiang	🇹🇼 CHINESE TAIPEI	43	67.4%	0.40
97	I.Baniri	🇮🇱 ISRAEL	27	66.7%	0.52
98	Y.Wang	🇹🇼 CHINESE TAIPEI	38	65.8%	0.37
99	S.Bune	🇩🇰 DENMARK	37	64.9%	0.43
100	M.Shabeer	🇮🇳 INDIA	6	66.7%	0.33
101	R.Vadumangudi Balasundaram	🇮🇳 INDIA	22	63.6%	0.55

Declarer-play accuracy↑ top

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

#	Player	Team	Contracts	On target	Conceded
1	Y.Liu	🇸🇬 SINGAPORE	51	90.2%	0.14
2	A.Boulin	🇫🇷 FRANCE	53	88.7%	0.17
3	M.Wu	🇭🇰 CHINA HONG KONG	36	86.1%	0.14
4	A.Ezion	🇮🇱 ISRAEL	55	85.5%	0.26
5	M.Balodis	🇱🇻 LATVIA	60	85.0%	0.20
6	J.Tsang	🇭🇰 CHINA HONG KONG	53	84.9%	0.24
7	O.Toledano	🇮🇱 ISRAEL	65	84.6%	0.17
8	M.Stougie	🇳🇱 NETHERLANDS	45	84.4%	0.18
9	I.Baniri	🇮🇱 ISRAEL	19	84.2%	0.26
10	R.Basler	🇫🇷 FRANCE	49	83.7%	0.22
11	S.Scata	🇮🇹 ITALY	41	82.9%	0.20
12	A.Lam	🇭🇰 CHINA HONG KONG	23	82.6%	0.22
13	S.Overvelde	🇳🇱 NETHERLANDS	37	81.1%	0.22
14	W.Chen	🇹🇼 CHINESE TAIPEI	37	81.1%	0.24
15	F.Alter	🇩🇪 GERMANY	66	80.3%	0.20
16	C.Mann	🇸🇪 SWEDEN	30	80.0%	0.20
17	I.Stephani	🇺🇸 USA	54	79.6%	0.26
18	O.Nijssen	🇳🇱 NETHERLANDS	39	79.5%	0.26
19	D.Lee	🇸🇬 SINGAPORE	39	79.5%	0.31
20	P.Pabst	🇩🇪 GERMANY	29	79.3%	0.24
21	KUSHARI SAYANTAN	🇮🇳 INDIA	61	78.7%	0.25
22	S.Jesse	🇩🇪 GERMANY	28	78.6%	0.21
23	J.Andruszkiewicz	🇵🇱 POLAND	42	78.6%	0.26
24	C.Shi	🇹🇼 CHINESE TAIPEI	37	78.4%	0.35
25	M.Dufrene	🇫🇷 FRANCE	23	78.3%	0.26
26	KAR SOUVIK	🇮🇳 INDIA	54	77.8%	0.28
27	C.Chan	🇭🇰 CHINA HONG KONG	40	77.5%	0.23
28	X.Wang	🇨🇳 CHINA	40	77.5%	0.30
29	T.Bodin	🇸🇪 SWEDEN	22	77.3%	0.23
30	S.Avital	🇮🇱 ISRAEL	22	77.3%	0.27
31	BOSE BABHRUBAHAN	🇮🇳 INDIA	44	77.3%	0.29
32	S.Bune	🇩🇰 DENMARK	35	77.1%	0.26
33	K.Siew	🇸🇬 SINGAPORE	48	77.1%	0.27
34	F.Chiarandini	🇮🇹 ITALY	35	77.1%	0.34
35	F.Beugin	🇫🇷 FRANCE	26	76.9%	0.31
36	S.Maczka	🇵🇱 POLAND	39	76.9%	0.33
37	Z.Fang	🇨🇳 CHINA	51	76.5%	0.39
38	K.Majewski	🇵🇱 POLAND	42	76.2%	0.26
39	L.Stougie	🇳🇱 NETHERLANDS	50	76.0%	0.24
40	E.Hansson	🇸🇪 SWEDEN	37	75.7%	0.24
41	Z.Cai	🇨🇳 CHINA	37	75.7%	0.30
42	M.Christensen	🇩🇰 DENMARK	37	75.7%	0.30
43	F.Porta	🇮🇹 ITALY	37	75.7%	0.32
44	S.Bune	🇩🇰 DENMARK	61	75.4%	0.29
45	S.Caspersen	🇩🇰 DENMARK	32	75.0%	0.31
46	H.Berk	🇺🇸 USA	59	74.6%	0.34
47	C.Lahrmann	🇩🇰 DENMARK	35	74.3%	0.29
48	A.Zamir	🇮🇱 ISRAEL	35	74.3%	0.31
49	C.Chiang	🇹🇼 CHINESE TAIPEI	35	74.3%	0.34
50	Y.Ling	🇸🇬 SINGAPORE	35	74.3%	0.40
51	N.Chang	🇺🇸 USA	45	73.3%	0.31
52	S.Van Oosten	🇩🇪 GERMANY	41	73.2%	0.27
53	V.Ildeikins	🇱🇻 LATVIA	59	72.9%	0.34
54	A.Sandin	🇸🇪 SWEDEN	48	72.9%	0.35
55	P.Dupont	🇳🇱 NETHERLANDS	44	72.7%	0.36
56	C.Chen	🇹🇼 CHINESE TAIPEI	40	72.5%	0.30
57	N.Davila	🇨🇱 CHILE	58	72.4%	0.43
58	L.Vornkahl	🇩🇪 GERMANY	17	70.6%	0.41
59	P.Godlewski	🇵🇱 POLAND	37	70.3%	0.30
60	R.Pan	🇨🇳 CHINA	37	70.3%	0.38
61	ROY SAGNIK	🇮🇳 INDIA	60	70.0%	0.40
62	I.Petersen	🇸🇪 SWEDEN	29	69.0%	0.31
63	Y.Wang	🇹🇼 CHINESE TAIPEI	45	68.9%	0.40
64	C.Chang	🇹🇼 CHINESE TAIPEI	45	68.9%	0.40
65	E.Sucharda	🇵🇱 POLAND	38	68.4%	0.40
66	G.Dreimanis	🇱🇻 LATVIA	59	67.8%	0.47
67	F.Yuan	🇨🇳 CHINA	43	67.4%	0.42
68	V.Todd-Moir	🇩🇰 DENMARK	55	67.3%	0.47
69	A.Leung	🇸🇬 SINGAPORE	39	66.7%	0.41
70	J.Tan	🇨🇳 CHINA	45	66.7%	0.49
71	W.Peniston	🇧🇲 BERMUDA	57	66.7%	0.49
72	A.Gaiotti	🇮🇹 ITALY	36	66.7%	0.53
73	D.Soukup	🇺🇸 USA	47	66.0%	0.47
74	L.Bellicaud	🇫🇷 FRANCE	41	65.9%	0.37
75	T.Guillemin	🇫🇷 FRANCE	43	65.1%	0.44
76	F.Basoalto	🇨🇱 CHILE	43	65.1%	0.49
77	L.Streck	🇩🇪 GERMANY	54	64.8%	0.44
78	H.Paoli	🇧🇷 BRAZIL	54	64.8%	0.56
79	A.Yekutieli	🇮🇱 ISRAEL	48	64.6%	0.42
80	L.Trendak	🇵🇱 POLAND	31	64.5%	0.35
81	Y.Caris	🇳🇱 NETHERLANDS	36	63.9%	0.39
82	A.Manganella	🇮🇹 ITALY	49	63.3%	0.37
83	R.Giannotti	🇧🇷 BRAZIL	49	63.3%	0.47
84	T.Irby	🇧🇲 BERMUDA	60	63.3%	0.50
85	S.Tseng	🇭🇰 CHINA HONG KONG	38	63.2%	0.47
86	H.Salomao	🇧🇷 BRAZIL	50	62.0%	0.48
87	E.Gavrilova	🇱🇻 LATVIA	57	61.4%	0.47
88	S.Clementsson	🇸🇪 SWEDEN	46	60.9%	0.54
89	B.Perez	🇨🇱 CHILE	55	60.0%	0.55
90	G.Yang	🇸🇬 SINGAPORE	39	59.0%	0.59
91	G.Giubilo	🇮🇹 ITALY	36	58.3%	0.56
92	R.Cave	🇧🇲 BERMUDA	60	58.3%	0.65
93	J.Mautone	🇧🇷 BRAZIL	42	57.1%	0.55
94	N.Man	🇭🇰 CHINA HONG KONG	40	55.0%	0.60
95	G.Cacace	🇧🇲 BERMUDA	53	52.8%	0.77
96	C.Spencer	🇺🇸 USA	38	50.0%	0.58
97	L.Cuevas	🇨🇱 CHILE	43	48.8%	0.74
98	C.Smith	🇨🇱 CHILE	34	44.1%	0.82
99	G.Panfili	🇧🇷 BRAZIL	28	35.7%	0.79
100	M.Shabeer	🇮🇳 INDIA	6	50.0%	0.50
101	R.Vadumangudi Balasundaram	🇮🇳 INDIA	13	46.2%	0.61

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	S.Avital	🇮🇱 ISRAEL	57	94.7%	0.05
2	I.Baniri	🇮🇱 ISRAEL	57	94.7%	0.05
3	J.Andruszkiewicz	🇵🇱 POLAND	87	94.3%	0.07
4	E.Sucharda	🇵🇱 POLAND	87	94.3%	0.07
5	S.Bune	🇩🇰 DENMARK	68	92.6%	0.09
6	M.Christensen	🇩🇰 DENMARK	68	92.6%	0.09
7	A.Ezion	🇮🇱 ISRAEL	92	91.3%	0.10
8	A.Zamir	🇮🇱 ISRAEL	92	91.3%	0.10
9	A.Leung	🇸🇬 SINGAPORE	77	90.9%	0.12
10	Y.Liu	🇸🇬 SINGAPORE	77	90.9%	0.12
11	P.Pabst	🇩🇪 GERMANY	70	90.0%	0.14
12	S.Van Oosten	🇩🇪 GERMANY	70	90.0%	0.14
13	F.Chiarandini	🇮🇹 ITALY	69	89.9%	0.10
14	A.Gaiotti	🇮🇹 ITALY	69	89.9%	0.10
15	F.Alter	🇩🇪 GERMANY	116	89.7%	0.10
16	L.Streck	🇩🇪 GERMANY	116	89.7%	0.10
17	L.Stougie	🇳🇱 NETHERLANDS	86	89.5%	0.13
18	M.Stougie	🇳🇱 NETHERLANDS	86	89.5%	0.13
19	S.Clementsson	🇸🇪 SWEDEN	102	89.2%	0.12
20	A.Sandin	🇸🇪 SWEDEN	102	89.2%	0.12
21	C.Chiang	🇹🇼 CHINESE TAIPEI	79	88.6%	0.15
22	S.Jesse	🇩🇪 GERMANY	52	88.5%	0.12
23	L.Vornkahl	🇩🇪 GERMANY	52	88.5%	0.12
24	T.Bodin	🇸🇪 SWEDEN	61	88.5%	0.13
25	I.Petersen	🇸🇪 SWEDEN	61	88.5%	0.13
26	C.Chan	🇭🇰 CHINA HONG KONG	100	88.0%	0.14
27	J.Tsang	🇭🇰 CHINA HONG KONG	100	88.0%	0.14
28	KUSHARI SAYANTAN	🇮🇳 INDIA	116	87.9%	0.13
29	P.Godlewski	🇵🇱 POLAND	74	87.8%	0.14
30	K.Majewski	🇵🇱 POLAND	74	87.8%	0.14
31	BOSE BABHRUBAHAN	🇮🇳 INDIA	89	87.6%	0.14
32	A.Manganella	🇮🇹 ITALY	104	87.5%	0.15
33	S.Scata	🇮🇹 ITALY	104	87.5%	0.15
34	F.Beugin	🇫🇷 FRANCE	63	87.3%	0.13
35	M.Dufrene	🇫🇷 FRANCE	63	87.3%	0.13
36	Y.Wang	🇹🇼 CHINESE TAIPEI	86	87.2%	0.16
37	R.Basler	🇫🇷 FRANCE	91	86.8%	0.20
38	L.Bellicaud	🇫🇷 FRANCE	91	86.8%	0.20
39	K.Siew	🇸🇬 SINGAPORE	67	86.6%	0.19
40	G.Yang	🇸🇬 SINGAPORE	67	86.6%	0.19
41	O.Toledano	🇮🇱 ISRAEL	82	86.6%	0.20
42	A.Yekutieli	🇮🇱 ISRAEL	82	86.6%	0.20
43	G.Giubilo	🇮🇹 ITALY	67	85.1%	0.15
44	F.Porta	🇮🇹 ITALY	67	85.1%	0.15
45	C.Spencer	🇺🇸 USA	87	85.1%	0.17
46	D.Lee	🇸🇬 SINGAPORE	80	85.0%	0.17
47	Y.Ling	🇸🇬 SINGAPORE	80	85.0%	0.17
48	ROY SAGNIK	🇮🇳 INDIA	116	84.5%	0.18
49	N.Chang	🇺🇸 USA	104	83.7%	0.19
50	A.Lam	🇭🇰 CHINA HONG KONG	67	83.6%	0.18
51	M.Wu	🇭🇰 CHINA HONG KONG	67	83.6%	0.18
52	O.Nijssen	🇳🇱 NETHERLANDS	78	83.3%	0.19
53	S.Overvelde	🇳🇱 NETHERLANDS	78	83.3%	0.19
54	Y.Caris	🇳🇱 NETHERLANDS	60	83.3%	0.20
55	P.Dupont	🇳🇱 NETHERLANDS	60	83.3%	0.20
56	M.Balodis	🇱🇻 LATVIA	119	83.2%	0.22
57	G.Dreimanis	🇱🇻 LATVIA	119	83.2%	0.22
58	A.Boulin	🇫🇷 FRANCE	86	82.6%	0.20
59	T.Guillemin	🇫🇷 FRANCE	86	82.6%	0.20
60	KAR SOUVIK	🇮🇳 INDIA	95	82.1%	0.21
61	I.Stephani	🇺🇸 USA	89	82.0%	0.23
62	R.Pan	🇨🇳 CHINA	77	81.8%	0.22
63	X.Wang	🇨🇳 CHINA	77	81.8%	0.22
64	D.Soukup	🇺🇸 USA	93	81.7%	0.20
65	H.Berk	🇺🇸 USA	91	81.3%	0.20
66	Z.Fang	🇨🇳 CHINA	84	81.0%	0.23
67	J.Tan	🇨🇳 CHINA	84	81.0%	0.23
68	W.Chen	🇹🇼 CHINESE TAIPEI	72	80.6%	0.21
69	C.Chen	🇹🇼 CHINESE TAIPEI	77	80.5%	0.26
70	C.Shi	🇹🇼 CHINESE TAIPEI	77	80.5%	0.26
71	E.Gavrilova	🇱🇻 LATVIA	122	80.3%	0.23
72	V.Ildeikins	🇱🇻 LATVIA	122	80.3%	0.23
73	E.Hansson	🇸🇪 SWEDEN	100	80.0%	0.22
74	C.Mann	🇸🇪 SWEDEN	100	80.0%	0.22
75	N.Man	🇭🇰 CHINA HONG KONG	75	80.0%	0.24
76	S.Tseng	🇭🇰 CHINA HONG KONG	75	80.0%	0.24
77	C.Smith	🇨🇱 CHILE	45	80.0%	0.24
78	S.Maczka	🇵🇱 POLAND	84	79.8%	0.25
79	L.Trendak	🇵🇱 POLAND	84	79.8%	0.25
80	C.Chang	🇹🇼 CHINESE TAIPEI	79	79.7%	0.21
81	R.Giannotti	🇧🇷 BRAZIL	95	78.9%	0.25
82	S.Bune	🇩🇰 DENMARK	93	78.5%	0.37
83	V.Todd-Moir	🇩🇰 DENMARK	93	78.5%	0.37
84	L.Cuevas	🇨🇱 CHILE	106	78.3%	0.31
85	Z.Cai	🇨🇳 CHINA	59	78.0%	0.25
86	F.Yuan	🇨🇳 CHINA	59	78.0%	0.25
87	H.Salomao	🇧🇷 BRAZIL	95	76.8%	0.27
88	G.Panfili	🇧🇷 BRAZIL	110	76.4%	0.32
89	S.Caspersen	🇩🇰 DENMARK	59	76.3%	0.27
90	C.Lahrmann	🇩🇰 DENMARK	59	76.3%	0.27
91	F.Basoalto	🇨🇱 CHILE	112	75.9%	0.30
92	B.Perez	🇨🇱 CHILE	112	75.9%	0.35
93	J.Mautone	🇧🇷 BRAZIL	107	74.8%	0.31
94	N.Davila	🇨🇱 CHILE	109	74.3%	0.32
95	H.Paoli	🇧🇷 BRAZIL	99	72.7%	0.34
96	G.Cacace	🇧🇲 BERMUDA	124	71.8%	0.38
97	T.Irby	🇧🇲 BERMUDA	124	71.8%	0.38
98	R.Cave	🇧🇲 BERMUDA	120	71.7%	0.51
99	W.Peniston	🇧🇲 BERMUDA	120	71.7%	0.51
100	M.Shabeer	🇮🇳 INDIA	25	68.0%	0.48
101	R.Vadumangudi Balasundaram	🇮🇳 INDIA	31	67.7%	0.45

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	L.Stougie	🇳🇱 NETHERLANDS	182	+0.15	+0.97	+1.13	▲2
2	M.Stougie	🇳🇱 NETHERLANDS	182	+0.15	+0.97	+1.13	▲2
3	S.Caspersen	🇩🇰 DENMARK	126	-0.00	+0.94	+0.94	▲3
4	C.Lahrmann	🇩🇰 DENMARK	126	-0.00	+0.94	+0.94	▲3
5	C.Chan	🇭🇰 CHINA HONG KONG	196	+0.05	+0.79	+0.85	▲11
6	J.Tsang	🇭🇰 CHINA HONG KONG	196	+0.05	+0.79	+0.85	▲11
7	N.Chang	🇺🇸 USA	210	-0.01	+0.82	+0.81	▲8
8	S.Jesse	🇩🇪 GERMANY	98	-0.21	+0.98	+0.77	▼7
9	L.Vornkahl	🇩🇪 GERMANY	98	-0.21	+0.98	+0.77	▼7
10	G.Giubilo	🇮🇹 ITALY	140	+0.24	+0.50	+0.75	▲18
11	F.Porta	🇮🇹 ITALY	140	+0.24	+0.50	+0.75	▲18
12	C.Spencer	🇺🇸 USA	168	-0.23	+0.96	+0.74	▼7
13	I.Stephani	🇺🇸 USA	182	-0.24	+0.92	+0.68	▼5
14	F.Alter	🇩🇪 GERMANY	238	-0.15	+0.82	+0.67	▼3
15	L.Streck	🇩🇪 GERMANY	238	-0.15	+0.82	+0.67	▼3
16	A.Leung	🇸🇬 SINGAPORE	168	-0.06	+0.70	+0.64	▲4
17	Y.Liu	🇸🇬 SINGAPORE	168	-0.06	+0.70	+0.64	▲4
18	A.Ezion	🇮🇱 ISRAEL	182	-0.01	+0.62	+0.62	▲4
19	A.Zamir	🇮🇱 ISRAEL	182	-0.01	+0.62	+0.62	▲4
20	R.Basler	🇫🇷 FRANCE	182	+0.11	+0.48	+0.58	▲10
21	L.Bellicaud	🇫🇷 FRANCE	182	+0.11	+0.48	+0.58	▲10
22	J.Andruszkiewicz	🇵🇱 POLAND	168	-0.33	+0.86	+0.53	▼13
23	E.Sucharda	🇵🇱 POLAND	168	-0.33	+0.86	+0.53	▼13
24	O.Toledano	🇮🇱 ISRAEL	196	-0.03	+0.55	+0.52	▲2
25	A.Yekutieli	🇮🇱 ISRAEL	196	-0.03	+0.55	+0.52	▲2
26	Z.Fang	🇨🇳 CHINA	182	+0.27	+0.23	+0.49	▲20
27	J.Tan	🇨🇳 CHINA	182	+0.27	+0.23	+0.49	▲20
28	P.Godlewski	🇵🇱 POLAND	154	+0.17	+0.29	+0.46	▲11
29	K.Majewski	🇵🇱 POLAND	154	+0.17	+0.29	+0.46	▲11
30	F.Chiarandini	🇮🇹 ITALY	140	-0.20	+0.60	+0.40	▼6
31	A.Gaiotti	🇮🇹 ITALY	140	-0.20	+0.60	+0.40	▼6
32	A.Manganella	🇮🇹 ITALY	196	+0.03	+0.35	+0.37	▲4
33	S.Scata	🇮🇹 ITALY	196	+0.03	+0.35	+0.37	▲4
34	H.Berk	🇺🇸 USA	196	+0.04	+0.33	+0.37	▲4
35	A.Lam	🇭🇰 CHINA HONG KONG	126	-0.40	+0.77	+0.37	▼17
36	M.Wu	🇭🇰 CHINA HONG KONG	126	-0.40	+0.77	+0.37	▼17
37	Z.Cai	🇨🇳 CHINA	140	-0.46	+0.82	+0.36	▼24
38	F.Yuan	🇨🇳 CHINA	140	-0.46	+0.82	+0.36	▼24
39	O.Nijssen	🇳🇱 NETHERLANDS	154	-0.06	+0.38	+0.32	▼5
40	S.Overvelde	🇳🇱 NETHERLANDS	154	-0.06	+0.38	+0.32	▼5
41	A.Boulin	🇫🇷 FRANCE	182	+0.11	+0.20	+0.31	▲7
42	T.Guillemin	🇫🇷 FRANCE	182	+0.11	+0.20	+0.31	▲7
43	S.Maczka	🇵🇱 POLAND	154	+0.02	+0.26	+0.28	·
44	L.Trendak	🇵🇱 POLAND	154	+0.02	+0.26	+0.28	·
45	S.Clementsson	🇸🇪 SWEDEN	196	+0.15	+0.13	+0.28	▲12
46	A.Sandin	🇸🇪 SWEDEN	196	+0.15	+0.13	+0.28	▲12
47	D.Soukup	🇺🇸 USA	196	+0.22	+0.04	+0.26	▲19
48	S.Bune	🇩🇰 DENMARK	210	-0.04	+0.28	+0.24	▼7
49	V.Todd-Moir	🇩🇰 DENMARK	210	-0.04	+0.28	+0.24	▼7
50	Y.Wang	🇹🇼 CHINESE TAIPEI	168	-0.00	+0.24	+0.23	▼5
51	R.Pan	🇨🇳 CHINA	154	-0.21	+0.41	+0.20	▼19
52	X.Wang	🇨🇳 CHINA	154	-0.21	+0.41	+0.20	▼19
53	ROY SAGNIK	🇮🇳 INDIA	238	+0.08	+0.07	+0.15	▲11
54	D.Lee	🇸🇬 SINGAPORE	154	+0.02	+0.11	+0.13	▲6
55	Y.Ling	🇸🇬 SINGAPORE	154	+0.02	+0.11	+0.13	▲6
56	C.Chiang	🇹🇼 CHINESE TAIPEI	154	-0.07	+0.19	+0.12	▼6
57	K.Siew	🇸🇬 SINGAPORE	154	-0.06	+0.17	+0.12	▼6
58	G.Yang	🇸🇬 SINGAPORE	154	-0.06	+0.17	+0.12	▼6
59	C.Chang	🇹🇼 CHINESE TAIPEI	168	-0.03	+0.11	+0.08	·
60	E.Hansson	🇸🇪 SWEDEN	168	-0.00	+0.08	+0.08	▲2
61	C.Mann	🇸🇪 SWEDEN	168	-0.00	+0.08	+0.08	▲2
62	N.Man	🇭🇰 CHINA HONG KONG	154	+0.02	+0.03	+0.05	▲5
63	S.Tseng	🇭🇰 CHINA HONG KONG	154	+0.02	+0.03	+0.05	▲5
64	P.Pabst	🇩🇪 GERMANY	140	+0.20	-0.18	+0.03	▲14
65	S.Van Oosten	🇩🇪 GERMANY	140	+0.20	-0.18	+0.03	▲14
66	KUSHARI SAYANTAN	🇮🇳 INDIA	238	+0.06	-0.06	-0.00	▲5
67	S.Bune	🇩🇰 DENMARK	140	+0.07	-0.09	-0.02	▲8
68	M.Christensen	🇩🇰 DENMARK	140	+0.07	-0.09	-0.02	▲8
69	W.Chen	🇹🇼 CHINESE TAIPEI	154	-0.10	+0.05	-0.05	▼4
70	T.Bodin	🇸🇪 SWEDEN	112	-0.23	+0.17	-0.06	▼17
71	I.Petersen	🇸🇪 SWEDEN	112	-0.23	+0.17	-0.06	▼17
72	KAR SOUVIK	🇮🇳 INDIA	196	-0.00	-0.08	-0.08	·
73	M.Balodis	🇱🇻 LATVIA	238	-0.02	-0.08	-0.10	·
74	G.Dreimanis	🇱🇻 LATVIA	238	-0.02	-0.08	-0.10	·
75	BOSE BABHRUBAHAN	🇮🇳 INDIA	182	-0.08	-0.09	-0.17	▲2
76	F.Beugin	🇫🇷 FRANCE	112	-0.30	+0.02	-0.29	▼7
77	M.Dufrene	🇫🇷 FRANCE	112	-0.30	+0.02	-0.29	▼7
78	S.Avital	🇮🇱 ISRAEL	98	-0.55	+0.16	-0.39	▼23
79	I.Baniri	🇮🇱 ISRAEL	98	-0.55	+0.16	-0.39	▼23
80	Y.Caris	🇳🇱 NETHERLANDS	140	-0.23	-0.19	-0.42	·
81	P.Dupont	🇳🇱 NETHERLANDS	140	-0.23	-0.19	-0.42	·
82	E.Gavrilova	🇱🇻 LATVIA	238	-0.03	-0.43	-0.46	·
83	V.Ildeikins	🇱🇻 LATVIA	238	-0.03	-0.43	-0.46	·
84	C.Chen	🇹🇼 CHINESE TAIPEI	154	+0.23	-0.79	-0.56	▲2
85	C.Shi	🇹🇼 CHINESE TAIPEI	154	+0.23	-0.79	-0.56	▲2
86	R.Giannotti	🇧🇷 BRAZIL	196	+0.02	-0.74	-0.72	▼1
87	G.Panfili	🇧🇷 BRAZIL	182	-0.16	-0.63	-0.79	▼3
88	H.Salomao	🇧🇷 BRAZIL	196	+0.04	-0.87	-0.83	·
89	N.Davila	🇨🇱 CHILE	210	+0.05	-1.07	-1.02	·
90	C.Smith	🇨🇱 CHILE	112	+0.05	-1.19	-1.13	·
91	J.Mautone	🇧🇷 BRAZIL	182	+0.17	-1.50	-1.34	▲1
92	B.Perez	🇨🇱 CHILE	224	+0.16	-1.52	-1.36	▲1
93	F.Basoalto	🇨🇱 CHILE	210	+0.14	-1.52	-1.38	▲1
94	R.Cave	🇧🇲 BERMUDA	238	+0.20	-1.63	-1.42	▲1
95	W.Peniston	🇧🇲 BERMUDA	238	+0.20	-1.63	-1.42	▲1
96	L.Cuevas	🇨🇱 CHILE	196	+0.03	-1.46	-1.43	▼5
97	H.Paoli	🇧🇷 BRAZIL	196	+0.25	-1.75	-1.50	·
98	G.Cacace	🇧🇲 BERMUDA	238	+0.21	-2.25	-2.04	·
99	T.Irby	🇧🇲 BERMUDA	238	+0.21	-2.25	-2.04	·

Stages

Statistics