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	J.Bai	🇨🇳 CHINA1	98	+2.44	+239.0
2	B.Zhang	🇨🇳 CHINA1	112	+1.94	+217.0
3	A.Pigulski	🇵🇱 POLAND	112	+1.93	+216.0
4	RACEWICZ MACIEJ	🇵🇱 POLAND	112	+1.93	+216.0
5	Y.Liu	🇨🇳 CHINA2	140	+1.69	+237.0
6	P.Wang	🇨🇳 CHINA2	140	+1.69	+237.0
7	C.Deng	🇨🇳 CHINA2	126	+1.37	+172.0
8	R.Wang	🇨🇳 CHINA2	126	+1.37	+172.0
9	M.Fragola	🇫🇷 FRANCE	182	+1.19	+217.0
10	C.Teil	🇫🇷 FRANCE	182	+1.19	+217.0
11	J.Blom	🇳🇱 NETHERLANDS	182	+1.01	+184.0
12	T.Van De Paverd	🇳🇱 NETHERLANDS	182	+1.01	+184.0
13	N.Khutorsky	🇮🇱 ISRAEL	112	+1.01	+113.0
14	G.Matatyahou	🇮🇱 ISRAEL	112	+1.01	+113.0
15	R.Guth	🇫🇷 FRANCE	182	+0.82	+150.0
16	H.Rabourdin	🇫🇷 FRANCE	182	+0.82	+150.0
17	O.Selby	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	168	+0.71	+119.0
18	T.Loonstein	🇮🇱 ISRAEL	168	+0.65	+110.0
19	A.Zeitak	🇮🇱 ISRAEL	168	+0.65	+110.0
20	M.Kedzierski	🇵🇱 POLAND	112	+0.62	+69.0
21	M.Sluszniak	🇵🇱 POLAND	112	+0.62	+69.0
22	H.Madden	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	154	+0.60	+93.0
23	C.He	🇨🇦 CANADA	112	+0.60	+67.0
24	J.Xiong	🇨🇦 CANADA	112	+0.60	+67.0
25	S.Dank	🇮🇱 ISRAEL	84	+0.58	+49.0
26	G.Lifshitz	🇮🇱 ISRAEL	84	+0.58	+49.0
27	O.Laufer	🇨🇦 CANADA	112	+0.45	+50.0
28	A.Vassileva	🇨🇦 CANADA	112	+0.45	+50.0
29	C.Smith	🇺🇸 USA	126	+0.35	+44.0
30	K.Vohra	🇺🇸 USA	126	+0.35	+44.0
31	S.Campbell	🇺🇸 USA	112	+0.34	+38.0
32	R.Xiao	🇺🇸 USA	112	+0.34	+38.0
33	Y.Niu	🇨🇳 CHINA1	140	+0.26	+36.0
34	A.Carletti	🇮🇹 ITALY	112	+0.12	+14.0
35	M.Meregalli	🇮🇹 ITALY	112	+0.12	+14.0
36	K.Kopka	🇵🇱 POLAND	140	+0.12	+17.0
37	M.Maszenda	🇵🇱 POLAND	140	+0.12	+17.0
38	B.Jiang	🇨🇳 CHINA1	154	+0.09	+14.0
39	R.Goor	🇳🇱 NETHERLANDS	126	+0.06	+8.0
40	D.Goudzwaard	🇳🇱 NETHERLANDS	126	+0.06	+8.0
41	Y.Chen	🇨🇳 CHINA2	98	+0.05	+5.0
42	X.Ruan	🇨🇳 CHINA2	98	+0.05	+5.0
43	W.Berner	🇸🇪 SWEDEN	140	-0.01	-1.0
44	H.Sandblom	🇸🇪 SWEDEN	140	-0.01	-1.0
45	M.Alhanif	🇮🇩 INDONESIA	126	-0.06	-7.0
46	D.Fikriaza	🇮🇩 INDONESIA	126	-0.06	-7.0
47	M.Hu	🇺🇸 USA	126	-0.16	-20.0
48	A.Zhou	🇺🇸 USA	126	-0.16	-20.0
49	T.Fridrich	🇨🇿 CZECH REPUBLIC	182	-0.21	-38.0
50	Z.Otradovcova	🇨🇿 CZECH REPUBLIC	182	-0.21	-38.0
51	J.Bakhshi	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	112	-0.21	-24.0
52	E.Gahan	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	112	-0.21	-24.0
53	S.Qiu	🇨🇳 CHINA1	112	-0.29	-32.0
54	H.Yu	🇨🇳 CHINA1	112	-0.29	-32.0
55	H.Dong	🇨🇦 CANADA	140	-0.60	-84.0
56	B.Zhu	🇨🇦 CANADA	140	-0.60	-84.0
57	A.Prochazka	🇨🇿 CZECH REPUBLIC	182	-0.67	-122.0
58	P.Volhejn	🇨🇿 CZECH REPUBLIC	182	-0.67	-122.0
59	M.Bertheau	🇸🇪 SWEDEN	154	-0.72	-111.0
60	E.Wiberg	🇸🇪 SWEDEN	154	-0.72	-111.0
61	D.Nugraha	🇮🇩 INDONESIA	84	-0.88	-74.0
62	A.Permana	🇮🇩 INDONESIA	84	-0.88	-74.0
63	H.Rose	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	98	-0.89	-87.0
64	A.Lombardi	🇮🇹 ITALY	126	-1.07	-135.0
65	M.Lombardi	🇮🇹 ITALY	126	-1.07	-135.0
66	F.Dalpozzo	🇮🇹 ITALY	126	-1.13	-143.0
67	V.Dalpozzo	🇮🇹 ITALY	126	-1.13	-143.0
68	L.Gunardi	🇮🇩 INDONESIA	154	-1.14	-176.0
69	A.Imawan	🇮🇩 INDONESIA	154	-1.14	-176.0
70	M.Jones	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	84	-1.35	-113.0
71	B.Palinkas	🇭🇺 HUNGARY	154	-1.75	-270.0
72	S.Rozsa	🇭🇺 HUNGARY	154	-1.88	-289.0
73	B.Hollos	🇭🇺 HUNGARY	140	-2.57	-360.0
74	M.Lenhardt	🇭🇺 HUNGARY	140	-2.69	-377.0
75	L.Beko	🇭🇺 HUNGARY	140	-3.69	-516.0
76	I.Lundqvist	🇸🇪 SWEDEN	70	-0.57	-40.0
77	T.Lundqvist	🇸🇪 SWEDEN	70	-0.57	-40.0
78	K.Hartsuiker	🇳🇱 NETHERLANDS	56	-1.89	-106.0
79	T.Westerveld	🇳🇱 NETHERLANDS	56	-1.89	-106.0

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	P.Wang	🇨🇳 CHINA2	37	91.9%	0.11
2	J.Bai	🇨🇳 CHINA1	18	88.9%	0.22
3	C.Teil	🇫🇷 FRANCE	44	88.6%	0.14
4	K.Vohra	🇺🇸 USA	26	88.5%	0.12
5	A.Zhou	🇺🇸 USA	24	87.5%	0.12
6	C.He	🇨🇦 CANADA	31	87.1%	0.13
7	A.Pigulski	🇵🇱 POLAND	31	87.1%	0.19
8	L.Gunardi	🇮🇩 INDONESIA	35	85.7%	0.14
9	J.Xiong	🇨🇦 CANADA	34	85.3%	0.15
10	G.Lifshitz	🇮🇱 ISRAEL	27	85.2%	0.15
11	M.Alhanif	🇮🇩 INDONESIA	38	84.2%	0.16
12	S.Rozsa	🇭🇺 HUNGARY	38	84.2%	0.18
13	R.Goor	🇳🇱 NETHERLANDS	25	84.0%	0.24
14	C.Deng	🇨🇳 CHINA2	31	83.9%	0.19
15	M.Hu	🇺🇸 USA	37	83.8%	0.16
16	J.Blom	🇳🇱 NETHERLANDS	43	83.7%	0.19
17	C.Smith	🇺🇸 USA	30	83.3%	0.23
18	T.Loonstein	🇮🇱 ISRAEL	47	83.0%	0.17
19	F.Dalpozzo	🇮🇹 ITALY	35	82.9%	0.23
20	B.Jiang	🇨🇳 CHINA1	35	82.9%	0.26
21	RACEWICZ MACIEJ	🇵🇱 POLAND	28	82.1%	0.18
22	R.Guth	🇫🇷 FRANCE	44	81.8%	0.18
23	N.Khutorsky	🇮🇱 ISRAEL	33	81.8%	0.18
24	P.Volhejn	🇨🇿 CZECH REPUBLIC	48	81.2%	0.19
25	X.Ruan	🇨🇳 CHINA2	21	81.0%	0.19
26	A.Vassileva	🇨🇦 CANADA	26	80.8%	0.23
27	R.Xiao	🇺🇸 USA	31	80.6%	0.23
28	A.Lombardi	🇮🇹 ITALY	41	80.5%	0.24
29	T.Van De Paverd	🇳🇱 NETHERLANDS	40	80.0%	0.20
30	A.Permana	🇮🇩 INDONESIA	25	80.0%	0.24
31	M.Sluszniak	🇵🇱 POLAND	20	80.0%	0.25
32	B.Zhang	🇨🇳 CHINA1	35	80.0%	0.26
33	A.Zeitak	🇮🇱 ISRAEL	44	79.5%	0.27
34	E.Gahan	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	24	79.2%	0.25
35	H.Rabourdin	🇫🇷 FRANCE	38	78.9%	0.21
36	D.Goudzwaard	🇳🇱 NETHERLANDS	38	78.9%	0.26
37	W.Berner	🇸🇪 SWEDEN	33	78.8%	0.27
38	O.Laufer	🇨🇦 CANADA	33	78.8%	0.36
39	M.Lombardi	🇮🇹 ITALY	23	78.3%	0.22
40	M.Jones	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	23	78.3%	0.26
41	B.Zhu	🇨🇦 CANADA	27	77.8%	0.22
42	K.Kopka	🇵🇱 POLAND	36	77.8%	0.22
43	Y.Chen	🇨🇳 CHINA2	18	77.8%	0.33
44	O.Selby	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	40	77.5%	0.25
45	G.Matatyahou	🇮🇱 ISRAEL	35	77.1%	0.29
46	S.Dank	🇮🇱 ISRAEL	26	76.9%	0.27
47	D.Fikriaza	🇮🇩 INDONESIA	39	76.9%	0.28
48	M.Kedzierski	🇵🇱 POLAND	26	76.9%	0.31
49	D.Nugraha	🇮🇩 INDONESIA	21	76.2%	0.24
50	B.Hollos	🇭🇺 HUNGARY	33	75.8%	0.27
51	Z.Otradovcova	🇨🇿 CZECH REPUBLIC	48	75.0%	0.29
52	T.Fridrich	🇨🇿 CZECH REPUBLIC	48	75.0%	0.31
53	M.Meregalli	🇮🇹 ITALY	20	75.0%	0.35
54	A.Prochazka	🇨🇿 CZECH REPUBLIC	43	74.4%	0.33
55	H.Madden	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	39	74.4%	0.33
56	E.Wiberg	🇸🇪 SWEDEN	35	74.3%	0.31
57	A.Imawan	🇮🇩 INDONESIA	35	74.3%	0.31
58	S.Campbell	🇺🇸 USA	27	74.1%	0.33
59	B.Palinkas	🇭🇺 HUNGARY	45	73.3%	0.29
60	H.Sandblom	🇸🇪 SWEDEN	37	73.0%	0.35
61	M.Fragola	🇫🇷 FRANCE	47	72.3%	0.38
62	L.Beko	🇭🇺 HUNGARY	43	72.1%	0.30
63	H.Dong	🇨🇦 CANADA	25	72.0%	0.32
64	M.Maszenda	🇵🇱 POLAND	32	71.9%	0.47
65	R.Wang	🇨🇳 CHINA2	30	70.0%	0.30
66	Y.Niu	🇨🇳 CHINA1	23	69.6%	0.30
67	A.Carletti	🇮🇹 ITALY	35	68.6%	0.40
68	S.Qiu	🇨🇳 CHINA1	25	68.0%	0.40
69	M.Bertheau	🇸🇪 SWEDEN	32	65.6%	0.41
70	H.Rose	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	29	65.5%	0.38
71	H.Yu	🇨🇳 CHINA1	26	65.4%	0.39
72	Y.Liu	🇨🇳 CHINA2	34	64.7%	0.44
73	V.Dalpozzo	🇮🇹 ITALY	34	64.7%	0.47
74	M.Lenhardt	🇭🇺 HUNGARY	34	61.8%	0.47
75	J.Bakhshi	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	28	60.7%	0.54
76	T.Lundqvist	🇸🇪 SWEDEN	19	89.5%	0.16
77	K.Hartsuiker	🇳🇱 NETHERLANDS	14	85.7%	0.14
78	I.Lundqvist	🇸🇪 SWEDEN	20	85.0%	0.20
79	T.Westerveld	🇳🇱 NETHERLANDS	20	75.0%	0.45

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.Chen	🇨🇳 CHINA2	28	89.3%	0.11
2	S.Dank	🇮🇱 ISRAEL	17	88.2%	0.12
3	Y.Liu	🇨🇳 CHINA2	37	86.5%	0.14
4	N.Khutorsky	🇮🇱 ISRAEL	20	85.0%	0.15
5	P.Wang	🇨🇳 CHINA2	32	84.4%	0.16
6	T.Loonstein	🇮🇱 ISRAEL	33	81.8%	0.21
7	R.Goor	🇳🇱 NETHERLANDS	27	81.5%	0.22
8	O.Laufer	🇨🇦 CANADA	31	80.6%	0.23
9	C.Deng	🇨🇳 CHINA2	31	80.6%	0.29
10	H.Madden	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	41	80.5%	0.20
11	R.Guth	🇫🇷 FRANCE	51	80.4%	0.22
12	B.Jiang	🇨🇳 CHINA1	46	80.4%	0.28
13	K.Vohra	🇺🇸 USA	25	80.0%	0.28
14	H.Rose	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	25	80.0%	0.28
15	J.Blom	🇳🇱 NETHERLANDS	54	79.6%	0.26
16	B.Zhang	🇨🇳 CHINA1	19	78.9%	0.21
17	M.Kedzierski	🇵🇱 POLAND	33	78.8%	0.21
18	A.Permana	🇮🇩 INDONESIA	14	78.6%	0.43
19	S.Qiu	🇨🇳 CHINA1	37	78.4%	0.27
20	E.Gahan	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	32	78.1%	0.25
21	A.Pigulski	🇵🇱 POLAND	32	78.1%	0.41
22	B.Zhu	🇨🇦 CANADA	54	77.8%	0.33
23	H.Rabourdin	🇫🇷 FRANCE	49	77.6%	0.29
24	A.Vassileva	🇨🇦 CANADA	22	77.3%	0.23
25	Z.Otradovcova	🇨🇿 CZECH REPUBLIC	50	76.0%	0.28
26	M.Maszenda	🇵🇱 POLAND	33	75.8%	0.30
27	Y.Niu	🇨🇳 CHINA1	45	75.6%	0.29
28	D.Nugraha	🇮🇩 INDONESIA	24	75.0%	0.25
29	T.Van De Paverd	🇳🇱 NETHERLANDS	44	75.0%	0.32
30	K.Kopka	🇵🇱 POLAND	39	74.4%	0.33
31	M.Sluszniak	🇵🇱 POLAND	31	74.2%	0.26
32	M.Fragola	🇫🇷 FRANCE	42	73.8%	0.31
33	L.Gunardi	🇮🇩 INDONESIA	44	72.7%	0.39
34	E.Wiberg	🇸🇪 SWEDEN	36	72.2%	0.39
35	A.Zhou	🇺🇸 USA	28	71.4%	0.32
36	C.Teil	🇫🇷 FRANCE	49	71.4%	0.33
37	A.Zeitak	🇮🇱 ISRAEL	42	71.4%	0.41
38	S.Campbell	🇺🇸 USA	28	71.4%	0.54
39	R.Wang	🇨🇳 CHINA2	34	70.6%	0.32
40	M.Bertheau	🇸🇪 SWEDEN	51	70.6%	0.39
41	H.Yu	🇨🇳 CHINA1	23	69.6%	0.35
42	A.Prochazka	🇨🇿 CZECH REPUBLIC	56	69.6%	0.36
43	A.Carletti	🇮🇹 ITALY	32	68.8%	0.34
44	J.Bai	🇨🇳 CHINA1	31	67.7%	0.48
45	H.Sandblom	🇸🇪 SWEDEN	34	67.6%	0.41
46	M.Hu	🇺🇸 USA	37	67.6%	0.51
47	RACEWICZ MACIEJ	🇵🇱 POLAND	21	66.7%	0.33
48	X.Ruan	🇨🇳 CHINA2	30	66.7%	0.43
49	H.Dong	🇨🇦 CANADA	33	66.7%	0.48
50	T.Fridrich	🇨🇿 CZECH REPUBLIC	36	66.7%	0.50
51	D.Goudzwaard	🇳🇱 NETHERLANDS	36	63.9%	0.44
52	C.He	🇨🇦 CANADA	27	63.0%	0.52
53	W.Berner	🇸🇪 SWEDEN	35	62.9%	0.46
54	A.Imawan	🇮🇩 INDONESIA	40	62.5%	0.53
55	D.Fikriaza	🇮🇩 INDONESIA	29	62.1%	0.45
56	M.Jones	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	13	61.5%	0.69
57	J.Xiong	🇨🇦 CANADA	20	60.0%	0.40
58	V.Dalpozzo	🇮🇹 ITALY	30	60.0%	0.50
59	C.Smith	🇺🇸 USA	45	60.0%	0.51
60	F.Dalpozzo	🇮🇹 ITALY	27	59.3%	0.56
61	G.Lifshitz	🇮🇱 ISRAEL	14	57.1%	0.43
62	G.Matatyahou	🇮🇱 ISRAEL	23	56.5%	0.61
63	M.Lenhardt	🇭🇺 HUNGARY	23	56.5%	0.87
64	S.Rozsa	🇭🇺 HUNGARY	41	56.1%	0.58
65	M.Meregalli	🇮🇹 ITALY	25	56.0%	0.56
66	M.Lombardi	🇮🇹 ITALY	27	55.6%	0.59
67	M.Alhanif	🇮🇩 INDONESIA	20	55.0%	0.60
68	P.Volhejn	🇨🇿 CZECH REPUBLIC	35	54.3%	0.54
69	A.Lombardi	🇮🇹 ITALY	35	54.3%	0.63
70	R.Xiao	🇺🇸 USA	26	53.8%	0.46
71	J.Bakhshi	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	27	51.9%	0.63
72	O.Selby	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	42	50.0%	0.52
73	B.Hollos	🇭🇺 HUNGARY	35	45.7%	0.97
74	B.Palinkas	🇭🇺 HUNGARY	31	38.7%	1.00
75	L.Beko	🇭🇺 HUNGARY	40	27.5%	1.30
76	T.Westerveld	🇳🇱 NETHERLANDS	10	60.0%	0.50
77	T.Lundqvist	🇸🇪 SWEDEN	12	58.3%	0.42
78	K.Hartsuiker	🇳🇱 NETHERLANDS	12	58.3%	0.50
79	I.Lundqvist	🇸🇪 SWEDEN	19	42.1%	1.00

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	Y.Niu	🇨🇳 CHINA1	54	96.3%	0.04
2	J.Bai	🇨🇳 CHINA1	50	96.0%	0.06
3	B.Jiang	🇨🇳 CHINA1	61	93.4%	0.07
4	B.Zhang	🇨🇳 CHINA1	57	93.0%	0.09
5	R.Guth	🇫🇷 FRANCE	82	91.5%	0.10
6	H.Rabourdin	🇫🇷 FRANCE	82	91.5%	0.10
7	F.Dalpozzo	🇮🇹 ITALY	69	89.9%	0.16
8	V.Dalpozzo	🇮🇹 ITALY	69	89.9%	0.16
9	Y.Chen	🇨🇳 CHINA2	39	89.7%	0.10
10	X.Ruan	🇨🇳 CHINA2	39	89.7%	0.10
11	N.Khutorsky	🇮🇱 ISRAEL	68	89.7%	0.12
12	G.Matatyahou	🇮🇱 ISRAEL	68	89.7%	0.12
13	M.Hu	🇺🇸 USA	61	88.5%	0.12
14	A.Zhou	🇺🇸 USA	61	88.5%	0.12
15	C.Smith	🇺🇸 USA	56	87.5%	0.12
16	K.Vohra	🇺🇸 USA	56	87.5%	0.12
17	Y.Liu	🇨🇳 CHINA2	71	87.3%	0.13
18	P.Wang	🇨🇳 CHINA2	71	87.3%	0.13
19	M.Kedzierski	🇵🇱 POLAND	46	87.0%	0.13
20	M.Sluszniak	🇵🇱 POLAND	46	87.0%	0.13
21	T.Fridrich	🇨🇿 CZECH REPUBLIC	96	86.5%	0.17
22	Z.Otradovcova	🇨🇿 CZECH REPUBLIC	96	86.5%	0.17
23	S.Qiu	🇨🇳 CHINA1	51	86.3%	0.14
24	H.Yu	🇨🇳 CHINA1	51	86.3%	0.14
25	T.Loonstein	🇮🇱 ISRAEL	91	85.7%	0.17
26	A.Zeitak	🇮🇱 ISRAEL	91	85.7%	0.17
27	J.Blom	🇳🇱 NETHERLANDS	83	85.5%	0.20
28	T.Van De Paverd	🇳🇱 NETHERLANDS	83	85.5%	0.20
29	C.Deng	🇨🇳 CHINA2	61	85.2%	0.16
30	R.Wang	🇨🇳 CHINA2	61	85.2%	0.16
31	C.He	🇨🇦 CANADA	65	84.6%	0.20
32	J.Xiong	🇨🇦 CANADA	65	84.6%	0.20
33	A.Lombardi	🇮🇹 ITALY	64	84.4%	0.16
34	M.Lombardi	🇮🇹 ITALY	64	84.4%	0.16
35	K.Kopka	🇵🇱 POLAND	68	83.8%	0.18
36	M.Maszenda	🇵🇱 POLAND	68	83.8%	0.18
37	M.Bertheau	🇸🇪 SWEDEN	67	83.6%	0.16
38	E.Wiberg	🇸🇪 SWEDEN	67	83.6%	0.16
39	A.Carletti	🇮🇹 ITALY	55	83.6%	0.22
40	M.Meregalli	🇮🇹 ITALY	55	83.6%	0.22
41	A.Pigulski	🇵🇱 POLAND	59	83.1%	0.25
42	RACEWICZ MACIEJ	🇵🇱 POLAND	59	83.1%	0.25
43	H.Dong	🇨🇦 CANADA	52	82.7%	0.23
44	B.Zhu	🇨🇦 CANADA	52	82.7%	0.23
45	R.Goor	🇳🇱 NETHERLANDS	63	82.5%	0.21
46	D.Goudzwaard	🇳🇱 NETHERLANDS	63	82.5%	0.21
47	O.Selby	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	84	82.1%	0.20
48	O.Laufer	🇨🇦 CANADA	59	81.4%	0.22
49	A.Vassileva	🇨🇦 CANADA	59	81.4%	0.22
50	M.Fragola	🇫🇷 FRANCE	91	81.3%	0.20
51	C.Teil	🇫🇷 FRANCE	91	81.3%	0.20
52	S.Dank	🇮🇱 ISRAEL	53	81.1%	0.19
53	G.Lifshitz	🇮🇱 ISRAEL	53	81.1%	0.19
54	M.Alhanif	🇮🇩 INDONESIA	77	80.5%	0.29
55	D.Fikriaza	🇮🇩 INDONESIA	77	80.5%	0.29
56	H.Madden	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	75	80.0%	0.23
57	S.Campbell	🇺🇸 USA	58	79.3%	0.21
58	R.Xiao	🇺🇸 USA	58	79.3%	0.21
59	H.Rose	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	56	78.6%	0.32
60	W.Berner	🇸🇪 SWEDEN	70	77.1%	0.30
61	H.Sandblom	🇸🇪 SWEDEN	70	77.1%	0.30
62	L.Gunardi	🇮🇩 INDONESIA	70	75.7%	0.31
63	A.Imawan	🇮🇩 INDONESIA	70	75.7%	0.31
64	J.Bakhshi	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	52	75.0%	0.36
65	E.Gahan	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	52	75.0%	0.36
66	A.Prochazka	🇨🇿 CZECH REPUBLIC	91	74.7%	0.31
67	P.Volhejn	🇨🇿 CZECH REPUBLIC	91	74.7%	0.31
68	M.Jones	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	47	74.5%	0.38
69	D.Nugraha	🇮🇩 INDONESIA	46	73.9%	0.35
70	A.Permana	🇮🇩 INDONESIA	46	73.9%	0.35
71	B.Palinkas	🇭🇺 HUNGARY	81	69.1%	0.37
72	M.Lenhardt	🇭🇺 HUNGARY	78	65.4%	0.46
73	S.Rozsa	🇭🇺 HUNGARY	83	62.7%	0.47
74	B.Hollos	🇭🇺 HUNGARY	70	61.4%	0.47
75	L.Beko	🇭🇺 HUNGARY	74	56.8%	0.54
76	I.Lundqvist	🇸🇪 SWEDEN	39	82.1%	0.20
77	T.Lundqvist	🇸🇪 SWEDEN	39	82.1%	0.20
78	K.Hartsuiker	🇳🇱 NETHERLANDS	34	70.6%	0.29
79	T.Westerveld	🇳🇱 NETHERLANDS	34	70.6%	0.29

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	M.Kedzierski	🇵🇱 POLAND	112	-0.02	+1.41	+1.40	·
2	M.Sluszniak	🇵🇱 POLAND	112	-0.02	+1.41	+1.40	·
3	C.Deng	🇨🇳 CHINA2	126	-0.03	+1.38	+1.35	▲2
4	R.Wang	🇨🇳 CHINA2	126	-0.03	+1.38	+1.35	▲2
5	Y.Liu	🇨🇳 CHINA2	140	-0.14	+1.41	+1.27	▼2
6	P.Wang	🇨🇳 CHINA2	140	-0.14	+1.41	+1.27	▼2
7	M.Fragola	🇫🇷 FRANCE	182	-0.04	+1.06	+1.02	▲5
8	C.Teil	🇫🇷 FRANCE	182	-0.04	+1.06	+1.02	▲5
9	J.Blom	🇳🇱 NETHERLANDS	182	-0.04	+0.96	+0.92	▲8
10	T.Van De Paverd	🇳🇱 NETHERLANDS	182	-0.04	+0.96	+0.92	▲8
11	N.Khutorsky	🇮🇱 ISRAEL	112	+0.27	+0.64	+0.91	▲12
12	G.Matatyahou	🇮🇱 ISRAEL	112	+0.27	+0.64	+0.91	▲12
13	A.Pigulski	🇵🇱 POLAND	112	-0.36	+1.24	+0.88	▼5
14	RACEWICZ MACIEJ	🇵🇱 POLAND	112	-0.36	+1.24	+0.88	▼5
15	J.Bai	🇨🇳 CHINA1	98	-0.44	+1.28	+0.84	▼8
16	T.Loonstein	🇮🇱 ISRAEL	168	-0.11	+0.93	+0.82	▲3
17	A.Zeitak	🇮🇱 ISRAEL	168	-0.11	+0.93	+0.82	▲3
18	Y.Niu	🇨🇳 CHINA1	140	+0.15	+0.60	+0.75	▲9
19	R.Guth	🇫🇷 FRANCE	182	-0.48	+1.21	+0.73	▼9
20	H.Rabourdin	🇫🇷 FRANCE	182	-0.48	+1.21	+0.73	▼9
21	B.Zhang	🇨🇳 CHINA1	112	-0.27	+0.99	+0.73	▼5
22	B.Jiang	🇨🇳 CHINA1	154	+0.22	+0.45	+0.68	▲10
23	K.Kopka	🇵🇱 POLAND	140	+0.00	+0.51	+0.51	▲5
24	M.Maszenda	🇵🇱 POLAND	140	+0.00	+0.51	+0.51	▲5
25	C.Smith	🇺🇸 USA	126	-0.22	+0.71	+0.48	▼4
26	K.Vohra	🇺🇸 USA	126	-0.22	+0.71	+0.48	▼4
27	H.Dong	🇨🇦 CANADA	140	-0.22	+0.63	+0.41	▼2
28	B.Zhu	🇨🇦 CANADA	140	-0.22	+0.63	+0.41	▼2
29	S.Dank	🇮🇱 ISRAEL	84	-0.69	+1.05	+0.37	▼15
30	G.Lifshitz	🇮🇱 ISRAEL	84	-0.69	+1.05	+0.37	▼15
31	M.Hu	🇺🇸 USA	126	+0.27	+0.09	+0.37	▲10
32	A.Zhou	🇺🇸 USA	126	+0.27	+0.09	+0.37	▲10
33	O.Selby	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	168	-0.01	+0.27	+0.26	▲2
34	H.Madden	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	154	+0.07	+0.17	+0.24	▲2
35	S.Qiu	🇨🇳 CHINA1	112	-0.09	+0.27	+0.19	▼2
36	H.Yu	🇨🇳 CHINA1	112	-0.09	+0.27	+0.19	▼2
37	Y.Chen	🇨🇳 CHINA2	98	-0.33	+0.47	+0.13	▼7
38	X.Ruan	🇨🇳 CHINA2	98	-0.33	+0.47	+0.13	▼7
39	S.Campbell	🇺🇸 USA	112	+0.17	-0.07	+0.09	▲6
40	R.Xiao	🇺🇸 USA	112	+0.17	-0.07	+0.09	▲6
41	C.He	🇨🇦 CANADA	112	-0.07	+0.14	+0.06	▼4
42	J.Xiong	🇨🇦 CANADA	112	-0.07	+0.14	+0.06	▼4
43	R.Goor	🇳🇱 NETHERLANDS	126	-0.06	+0.11	+0.05	▼4
44	D.Goudzwaard	🇳🇱 NETHERLANDS	126	-0.06	+0.11	+0.05	▼4
45	O.Laufer	🇨🇦 CANADA	112	+0.56	-0.54	+0.01	▲9
46	A.Vassileva	🇨🇦 CANADA	112	+0.56	-0.54	+0.01	▲9
47	M.Bertheau	🇸🇪 SWEDEN	154	+0.18	-0.33	-0.15	▲2
48	E.Wiberg	🇸🇪 SWEDEN	154	+0.18	-0.33	-0.15	▲2
49	H.Rose	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	98	+0.22	-0.39	-0.17	▲4
50	A.Prochazka	🇨🇿 CZECH REPUBLIC	182	-0.01	-0.20	-0.22	▼3
51	P.Volhejn	🇨🇿 CZECH REPUBLIC	182	-0.01	-0.20	-0.22	▼3
52	M.Jones	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	84	+0.40	-0.68	-0.28	▲8
53	F.Dalpozzo	🇮🇹 ITALY	126	+0.56	-0.89	-0.33	▲14
54	V.Dalpozzo	🇮🇹 ITALY	126	+0.56	-0.89	-0.33	▲14
55	L.Gunardi	🇮🇩 INDONESIA	154	-0.00	-0.34	-0.34	▼4
56	A.Imawan	🇮🇩 INDONESIA	154	-0.00	-0.34	-0.34	▼4
57	W.Berner	🇸🇪 SWEDEN	140	+0.43	-0.79	-0.36	▲8
58	H.Sandblom	🇸🇪 SWEDEN	140	+0.43	-0.79	-0.36	▲8
59	J.Bakhshi	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	112	-0.46	+0.05	-0.40	▼16
60	E.Gahan	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	112	-0.46	+0.05	-0.40	▼16
61	T.Fridrich	🇨🇿 CZECH REPUBLIC	182	+0.10	-0.75	-0.66	▲2
62	Z.Otradovcova	🇨🇿 CZECH REPUBLIC	182	+0.10	-0.75	-0.66	▲2
63	A.Carletti	🇮🇹 ITALY	112	-0.08	-0.60	-0.68	▼7
64	M.Meregalli	🇮🇹 ITALY	112	-0.08	-0.60	-0.68	▼7
65	A.Lombardi	🇮🇹 ITALY	126	-0.18	-0.62	-0.79	▼7
66	M.Lombardi	🇮🇹 ITALY	126	-0.18	-0.62	-0.79	▼7
67	M.Alhanif	🇮🇩 INDONESIA	126	-0.10	-0.70	-0.80	▼6
68	D.Fikriaza	🇮🇩 INDONESIA	126	-0.10	-0.70	-0.80	▼6
69	D.Nugraha	🇮🇩 INDONESIA	84	+0.40	-1.35	-0.95	·
70	A.Permana	🇮🇩 INDONESIA	84	+0.40	-1.35	-0.95	·
71	B.Palinkas	🇭🇺 HUNGARY	154	+0.01	-2.15	-2.14	·
72	M.Lenhardt	🇭🇺 HUNGARY	140	+0.12	-2.45	-2.33	·
73	S.Rozsa	🇭🇺 HUNGARY	154	+0.14	-2.71	-2.57	·
74	B.Hollos	🇭🇺 HUNGARY	140	+0.25	-3.06	-2.80	·
75	L.Beko	🇭🇺 HUNGARY	140	+0.62	-3.64	-3.02	·

Stages

Statistics