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	Y.Niu	🇨🇳 CHINA1	56	+2.86	+160.0
2	B.Jiang	🇨🇳 CHINA1	70	+2.61	+183.0
3	C.Smith	🇺🇸 USA	56	+2.34	+131.0
4	K.Vohra	🇺🇸 USA	56	+2.34	+131.0
5	R.Goor	🇳🇱 NETHERLANDS	70	+0.99	+69.0
6	D.Goudzwaard	🇳🇱 NETHERLANDS	70	+0.99	+69.0
7	Y.Liu	🇨🇳 CHINA2	70	+0.81	+57.0
8	P.Wang	🇨🇳 CHINA2	70	+0.81	+57.0
9	H.Madden	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	70	+0.74	+52.0
10	O.Selby	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	70	+0.74	+52.0
11	J.Bakhshi	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	42	+0.69	+29.0
12	N.Khutorsky	🇮🇱 ISRAEL	84	+0.64	+54.0
13	G.Matatyahou	🇮🇱 ISRAEL	84	+0.64	+54.0
14	R.Guth	🇫🇷 FRANCE	84	+0.54	+45.0
15	H.Rabourdin	🇫🇷 FRANCE	84	+0.54	+45.0
16	T.Loonstein	🇮🇱 ISRAEL	84	+0.12	+10.0
17	A.Zeitak	🇮🇱 ISRAEL	84	+0.12	+10.0
18	A.Pigulski	🇵🇱 POLAND	70	+0.07	+5.0
19	RACEWICZ MACIEJ	🇵🇱 POLAND	70	+0.07	+5.0
20	C.Deng	🇨🇳 CHINA2	84	-0.01	-1.0
21	R.Wang	🇨🇳 CHINA2	84	-0.01	-1.0
22	S.Qiu	🇨🇳 CHINA1	70	-0.17	-12.0
23	H.Yu	🇨🇳 CHINA1	70	-0.17	-12.0
24	M.Kedzierski	🇵🇱 POLAND	56	-0.36	-20.0
25	M.Sluszniak	🇵🇱 POLAND	56	-0.36	-20.0
26	K.Kopka	🇵🇱 POLAND	42	-0.36	-15.0
27	M.Maszenda	🇵🇱 POLAND	42	-0.36	-15.0
28	E.Gahan	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	56	-0.50	-28.0
29	B.Zhang	🇨🇳 CHINA1	42	-0.55	-23.0
30	M.Hu	🇺🇸 USA	70	-0.90	-63.0
31	A.Zhou	🇺🇸 USA	70	-0.90	-63.0
32	J.Blom	🇳🇱 NETHERLANDS	84	-1.25	-105.0
33	T.Van De Paverd	🇳🇱 NETHERLANDS	84	-1.25	-105.0
34	M.Fragola	🇫🇷 FRANCE	84	-1.56	-131.0
35	C.Teil	🇫🇷 FRANCE	84	-1.56	-131.0
36	M.Jones	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	42	-1.57	-66.0
37	H.Rose	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	56	-2.20	-123.0
38	S.Campbell	🇺🇸 USA	42	-2.83	-119.0
39	R.Xiao	🇺🇸 USA	42	-2.83	-119.0
40	K.Hartsuiker	🇳🇱 NETHERLANDS	14	+0.29	+4.0
41	T.Westerveld	🇳🇱 NETHERLANDS	14	+0.29	+4.0
42	Y.Chen	🇨🇳 CHINA2	14	-0.29	-4.0
43	X.Ruan	🇨🇳 CHINA2	14	-0.29	-4.0
44	J.Bai	🇨🇳 CHINA1	28	-1.64	-46.0

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	Y.Niu	🇨🇳 CHINA1	11	100.0%	0.00
2	M.Jones	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	17	94.1%	0.06
3	H.Yu	🇨🇳 CHINA1	14	92.9%	0.07
4	M.Sluszniak	🇵🇱 POLAND	13	92.3%	0.15
5	D.Goudzwaard	🇳🇱 NETHERLANDS	13	92.3%	0.15
6	A.Zhou	🇺🇸 USA	13	92.3%	0.15
7	J.Blom	🇳🇱 NETHERLANDS	20	90.0%	0.15
8	R.Wang	🇨🇳 CHINA2	18	88.9%	0.11
9	P.Wang	🇨🇳 CHINA2	17	88.2%	0.18
10	T.Van De Paverd	🇳🇱 NETHERLANDS	21	85.7%	0.14
11	M.Fragola	🇫🇷 FRANCE	21	85.7%	0.14
12	S.Qiu	🇨🇳 CHINA1	19	84.2%	0.16
13	K.Vohra	🇺🇸 USA	11	81.8%	0.18
14	A.Zeitak	🇮🇱 ISRAEL	22	81.8%	0.18
15	H.Rose	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	11	81.8%	0.18
16	M.Hu	🇺🇸 USA	16	81.2%	0.25
17	C.Deng	🇨🇳 CHINA2	15	80.0%	0.20
18	R.Xiao	🇺🇸 USA	15	80.0%	0.20
19	G.Matatyahou	🇮🇱 ISRAEL	24	79.2%	0.25
20	N.Khutorsky	🇮🇱 ISRAEL	23	78.3%	0.30
21	M.Maszenda	🇵🇱 POLAND	13	76.9%	0.23
22	E.Gahan	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	17	76.5%	0.29
23	O.Selby	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	17	76.5%	0.29
24	T.Loonstein	🇮🇱 ISRAEL	21	76.2%	0.24
25	B.Jiang	🇨🇳 CHINA1	16	75.0%	0.25
26	M.Kedzierski	🇵🇱 POLAND	12	75.0%	0.33
27	R.Goor	🇳🇱 NETHERLANDS	22	72.7%	0.32
28	R.Guth	🇫🇷 FRANCE	18	72.2%	0.39
29	J.Bakhshi	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	7	71.4%	0.29
30	H.Madden	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	21	71.4%	0.29
31	S.Campbell	🇺🇸 USA	7	71.4%	0.43
32	RACEWICZ MACIEJ	🇵🇱 POLAND	24	70.8%	0.46
33	C.Smith	🇺🇸 USA	20	70.0%	0.30
34	Y.Liu	🇨🇳 CHINA2	20	70.0%	0.40
35	B.Zhang	🇨🇳 CHINA1	12	66.7%	0.42
36	C.Teil	🇫🇷 FRANCE	18	66.7%	0.44
37	K.Kopka	🇵🇱 POLAND	11	63.6%	0.36
38	H.Rabourdin	🇫🇷 FRANCE	29	62.1%	0.38
39	A.Pigulski	🇵🇱 POLAND	9	55.6%	0.44
40	J.Bai	🇨🇳 CHINA1	8	100.0%	0.00
41	Y.Chen	🇨🇳 CHINA2	3	100.0%	0.00
42	X.Ruan	🇨🇳 CHINA2	4	75.0%	0.25
43	K.Hartsuiker	🇳🇱 NETHERLANDS	7	71.4%	0.43
44	T.Westerveld	🇳🇱 NETHERLANDS	1	0.0%	2.00

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.Maszenda	🇵🇱 POLAND	6	100.0%	0.00
2	M.Fragola	🇫🇷 FRANCE	19	89.5%	0.16
3	M.Hu	🇺🇸 USA	18	88.9%	0.17
4	S.Qiu	🇨🇳 CHINA1	17	88.2%	0.12
5	R.Guth	🇫🇷 FRANCE	20	85.0%	0.30
6	R.Wang	🇨🇳 CHINA2	26	84.6%	0.15
7	B.Zhang	🇨🇳 CHINA1	13	84.6%	0.15
8	H.Rose	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	13	84.6%	0.15
9	T.Loonstein	🇮🇱 ISRAEL	19	84.2%	0.21
10	R.Xiao	🇺🇸 USA	12	83.3%	0.25
11	G.Matatyahou	🇮🇱 ISRAEL	15	80.0%	0.20
12	RACEWICZ MACIEJ	🇵🇱 POLAND	18	77.8%	0.33
13	A.Zeitak	🇮🇱 ISRAEL	22	77.3%	0.32
14	B.Jiang	🇨🇳 CHINA1	13	76.9%	0.23
15	P.Wang	🇨🇳 CHINA2	17	76.5%	0.35
16	Y.Niu	🇨🇳 CHINA1	21	76.2%	0.38
17	T.Van De Paverd	🇳🇱 NETHERLANDS	24	75.0%	0.29
18	Y.Liu	🇨🇳 CHINA2	16	75.0%	0.31
19	A.Zhou	🇺🇸 USA	23	73.9%	0.35
20	K.Vohra	🇺🇸 USA	11	72.7%	0.36
21	C.Deng	🇨🇳 CHINA2	25	72.0%	0.40
22	D.Goudzwaard	🇳🇱 NETHERLANDS	21	71.4%	0.29
23	R.Goor	🇳🇱 NETHERLANDS	14	71.4%	0.50
24	E.Gahan	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	16	68.8%	0.38
25	H.Rabourdin	🇫🇷 FRANCE	16	68.8%	0.62
26	H.Madden	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	21	66.7%	0.33
27	J.Bakhshi	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	6	66.7%	0.67
28	M.Sluszniak	🇵🇱 POLAND	17	64.7%	0.41
29	C.Smith	🇺🇸 USA	14	64.3%	0.43
30	O.Selby	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	11	63.6%	0.55
31	N.Khutorsky	🇮🇱 ISRAEL	22	63.6%	0.64
32	A.Pigulski	🇵🇱 POLAND	19	63.2%	0.42
33	J.Blom	🇳🇱 NETHERLANDS	19	63.2%	0.53
34	S.Campbell	🇺🇸 USA	8	62.5%	0.62
35	C.Teil	🇫🇷 FRANCE	26	61.5%	0.46
36	M.Kedzierski	🇵🇱 POLAND	13	61.5%	0.69
37	K.Kopka	🇵🇱 POLAND	12	58.3%	0.42
38	H.Yu	🇨🇳 CHINA1	20	55.0%	0.50
39	M.Jones	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	11	36.4%	1.09
40	K.Hartsuiker	🇳🇱 NETHERLANDS	3	100.0%	0.00
41	J.Bai	🇨🇳 CHINA1	4	75.0%	0.25
42	T.Westerveld	🇳🇱 NETHERLANDS	3	66.7%	0.33
43	Y.Chen	🇨🇳 CHINA2	2	50.0%	0.50
44	X.Ruan	🇨🇳 CHINA2	5	40.0%	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	H.Madden	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	38	92.1%	0.08
2	O.Selby	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	38	92.1%	0.08
3	Y.Liu	🇨🇳 CHINA2	37	91.9%	0.08
4	P.Wang	🇨🇳 CHINA2	37	91.9%	0.08
5	C.Deng	🇨🇳 CHINA2	33	90.9%	0.09
6	R.Wang	🇨🇳 CHINA2	33	90.9%	0.09
7	C.Smith	🇺🇸 USA	31	90.3%	0.10
8	K.Vohra	🇺🇸 USA	31	90.3%	0.10
9	R.Goor	🇳🇱 NETHERLANDS	35	88.6%	0.14
10	D.Goudzwaard	🇳🇱 NETHERLANDS	35	88.6%	0.14
11	Y.Niu	🇨🇳 CHINA1	25	88.0%	0.12
12	K.Kopka	🇵🇱 POLAND	24	87.5%	0.12
13	M.Maszenda	🇵🇱 POLAND	24	87.5%	0.12
14	T.Loonstein	🇮🇱 ISRAEL	43	86.0%	0.14
15	A.Zeitak	🇮🇱 ISRAEL	43	86.0%	0.14
16	S.Qiu	🇨🇳 CHINA1	33	84.8%	0.18
17	H.Yu	🇨🇳 CHINA1	33	84.8%	0.18
18	B.Jiang	🇨🇳 CHINA1	32	84.4%	0.16
19	N.Khutorsky	🇮🇱 ISRAEL	47	83.0%	0.28
20	G.Matatyahou	🇮🇱 ISRAEL	47	83.0%	0.28
21	M.Hu	🇺🇸 USA	29	82.8%	0.34
22	A.Zhou	🇺🇸 USA	29	82.8%	0.34
23	R.Guth	🇫🇷 FRANCE	47	80.9%	0.21
24	H.Rabourdin	🇫🇷 FRANCE	47	80.9%	0.21
25	M.Kedzierski	🇵🇱 POLAND	25	80.0%	0.24
26	M.Sluszniak	🇵🇱 POLAND	25	80.0%	0.24
27	J.Blom	🇳🇱 NETHERLANDS	41	78.0%	0.22
28	T.Van De Paverd	🇳🇱 NETHERLANDS	41	78.0%	0.22
29	M.Fragola	🇫🇷 FRANCE	39	76.9%	0.33
30	C.Teil	🇫🇷 FRANCE	39	76.9%	0.33
31	E.Gahan	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	29	69.0%	0.38
32	B.Zhang	🇨🇳 CHINA1	22	68.2%	0.32
33	H.Rose	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	28	67.9%	0.39
34	J.Bakhshi	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	24	66.7%	0.42
35	A.Pigulski	🇵🇱 POLAND	33	66.7%	0.48
36	RACEWICZ MACIEJ	🇵🇱 POLAND	33	66.7%	0.48
37	M.Jones	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	23	65.2%	0.43
38	S.Campbell	🇺🇸 USA	22	59.1%	0.50
39	R.Xiao	🇺🇸 USA	22	59.1%	0.50
40	Y.Chen	🇨🇳 CHINA2	7	100.0%	0.00
41	X.Ruan	🇨🇳 CHINA2	7	100.0%	0.00
42	K.Hartsuiker	🇳🇱 NETHERLANDS	8	75.0%	0.25
43	T.Westerveld	🇳🇱 NETHERLANDS	8	75.0%	0.25
44	J.Bai	🇨🇳 CHINA1	15	66.7%	0.33

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	Y.Niu	🇨🇳 CHINA1	56	-0.39	+1.28	+0.90	·
2	B.Jiang	🇨🇳 CHINA1	70	-0.22	+1.07	+0.85	▲1
3	C.Deng	🇨🇳 CHINA2	84	-0.22	+1.05	+0.82	▲1
4	R.Wang	🇨🇳 CHINA2	84	-0.22	+1.05	+0.82	▲1
5	C.Smith	🇺🇸 USA	56	-0.34	+1.04	+0.69	▲1
6	K.Vohra	🇺🇸 USA	56	-0.34	+1.04	+0.69	▲1
7	J.Blom	🇳🇱 NETHERLANDS	84	+0.18	+0.45	+0.63	▲5
8	T.Van De Paverd	🇳🇱 NETHERLANDS	84	+0.18	+0.45	+0.63	▲5
9	N.Khutorsky	🇮🇱 ISRAEL	84	+0.29	+0.24	+0.53	▲8
10	G.Matatyahou	🇮🇱 ISRAEL	84	+0.29	+0.24	+0.53	▲8
11	S.Qiu	🇨🇳 CHINA1	70	-0.63	+1.03	+0.40	▼3
12	H.Yu	🇨🇳 CHINA1	70	-0.63	+1.03	+0.40	▼3
13	B.Zhang	🇨🇳 CHINA1	42	+0.23	+0.10	+0.32	▲8
14	J.Bakhshi	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	42	-0.97	+1.28	+0.30	▼12
15	T.Loonstein	🇮🇱 ISRAEL	84	-0.54	+0.72	+0.18	▼5
16	A.Zeitak	🇮🇱 ISRAEL	84	-0.54	+0.72	+0.18	▼5
17	M.Kedzierski	🇵🇱 POLAND	56	-0.18	+0.27	+0.09	▼3
18	M.Sluszniak	🇵🇱 POLAND	56	-0.18	+0.27	+0.09	▼3
19	Y.Liu	🇨🇳 CHINA2	70	+0.51	-0.54	-0.03	▲7
20	P.Wang	🇨🇳 CHINA2	70	+0.51	-0.54	-0.03	▲7
21	M.Fragola	🇫🇷 FRANCE	84	+0.25	-0.40	-0.15	▲3
22	C.Teil	🇫🇷 FRANCE	84	+0.25	-0.40	-0.15	▲3
23	E.Gahan	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	56	-0.47	+0.26	-0.21	▼7
24	R.Goor	🇳🇱 NETHERLANDS	70	+0.38	-0.64	-0.25	▲6
25	D.Goudzwaard	🇳🇱 NETHERLANDS	70	+0.38	-0.64	-0.25	▲6
26	H.Madden	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	70	-0.30	-0.09	-0.40	▼4
27	O.Selby	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	70	-0.30	-0.09	-0.40	▼4
28	R.Guth	🇫🇷 FRANCE	84	+0.18	-0.61	-0.44	·
29	H.Rabourdin	🇫🇷 FRANCE	84	+0.18	-0.61	-0.44	·
30	A.Pigulski	🇵🇱 POLAND	70	-0.62	+0.10	-0.52	▼11
31	RACEWICZ MACIEJ	🇵🇱 POLAND	70	-0.62	+0.10	-0.52	▼11
32	M.Hu	🇺🇸 USA	70	+0.19	-0.81	-0.62	·
33	A.Zhou	🇺🇸 USA	70	+0.19	-0.81	-0.62	·
34	S.Campbell	🇺🇸 USA	42	+0.99	-1.65	-0.66	▲3
35	R.Xiao	🇺🇸 USA	42	+0.99	-1.65	-0.66	▲3
36	K.Kopka	🇵🇱 POLAND	42	+0.49	-1.17	-0.68	▼2
37	M.Maszenda	🇵🇱 POLAND	42	+0.49	-1.17	-0.68	▼2
38	M.Jones	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	42	+0.28	-1.52	-1.24	▼2
39	H.Rose	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	56	+0.47	-1.84	-1.37	·

Stages

Statistics