Shanghai 2007 — 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	G.Helgemo	🇳🇴 NORWAY	235	+1.39	+326.0
2	T.Helness	🇳🇴 NORWAY	235	+1.39	+326.0
3	S.Brink	🇳🇱 NETHERLANDS	171	+1.13	+193.0
4	B.Drijver	🇳🇱 NETHERLANDS	171	+1.13	+193.0
5	Z.Mahmood	🇺🇸 USA 1	217	+0.08	+18.0
6	M.Rosenberg	🇺🇸 USA 1	217	+0.08	+18.0
7	S.De Wijs	🇳🇱 NETHERLANDS	144	+0.06	+9.0
8	B.Muller	🇳🇱 NETHERLANDS	144	+0.06	+9.0
9	B.Brogeland	🇳🇴 NORWAY	208	-0.02	-5.0
10	E.Saelensminde	🇳🇴 NORWAY	208	-0.02	-5.0
11	T.Cope	🇿🇦 SOUTH AFRICA	144	-0.11	-16.0
12	G.Holman	🇿🇦 SOUTH AFRICA	144	-0.11	-16.0
13	S.Garner	🇺🇸 USA 1	224	-0.26	-59.0
14	H.Weinstein	🇺🇸 USA 1	224	-0.26	-59.0
15	C.Bosenberg	🇿🇦 SOUTH AFRICA	137	-0.32	-44.0
16	N.Eber	🇿🇦 SOUTH AFRICA	137	-0.32	-44.0
17	G.Groetheim	🇳🇴 NORWAY	128	-0.89	-114.0
18	U.Tundal	🇳🇴 NORWAY	128	-0.89	-114.0
19	S.Sun	🇨🇳 CHINA SMEG	64	+0.98	+63.0
20	X.Wang	🇨🇳 CHINA SMEG	64	+0.98	+63.0
21	M.Green	🇦🇺 AUSTRALIA	64	+0.70	+45.0
22	A.Peake	🇦🇺 AUSTRALIA	64	+0.70	+45.0
23	N.Bocchi	🇮🇹 ITALY	64	+0.12	+8.0
24	G.Duboin	🇮🇹 ITALY	64	+0.12	+8.0
25	A.Apteker	🇿🇦 SOUTH AFRICA	128	+0.11	+14.0
26	C.Gower	🇿🇦 SOUTH AFRICA	128	+0.11	+14.0
27	T.Bakkeren	🇳🇱 NETHERLANDS	96	+0.08	+8.0
28	H.Bertens	🇳🇱 NETHERLANDS	96	+0.08	+8.0
29	G.Jacobs	🇺🇸 USA 1	128	-0.05	-6.0
30	R.Katz	🇺🇸 USA 1	128	-0.05	-6.0
31	L.Lauria	🇮🇹 ITALY	64	-0.28	-18.0
32	A.Versace	🇮🇹 ITALY	64	-0.28	-18.0
33	R.Jedrychowski	🇦🇺 AUSTRALIA	64	-0.50	-32.0
34	B.Neill	🇦🇺 AUSTRALIA	64	-0.50	-32.0
35	P.Bertheau	🇸🇪 SWEDEN	64	-0.52	-33.0
36	F.Nystrom	🇸🇪 SWEDEN	64	-0.52	-33.0
37	P.Cullin	🇸🇪 SWEDEN	48	-0.67	-32.0
38	J.Upmark	🇸🇪 SWEDEN	48	-0.67	-32.0
39	F.Fantoni	🇮🇹 ITALY	32	-0.94	-30.0
40	C.Nunes	🇮🇹 ITALY	32	-0.94	-30.0
41	Z.Fu	🇨🇳 CHINA SMEG	48	-1.48	-71.0
42	J.Zhao	🇨🇳 CHINA SMEG	48	-1.48	-71.0
43	P.Gumby	🇦🇺 AUSTRALIA	32	-1.53	-49.0
44	W.Lazer	🇦🇺 AUSTRALIA	32	-1.53	-49.0
45	H.Shi	🇨🇳 CHINA SMEG	48	-1.71	-82.0
46	Z.Zhuang	🇨🇳 CHINA SMEG	48	-1.71	-82.0
47	B.Efraimsson	🇸🇪 SWEDEN	48	-1.94	-93.0
48	A.Morath	🇸🇪 SWEDEN	48	-1.94	-93.0

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	C.Bosenberg	🇿🇦 SOUTH AFRICA	18	100.0%	0.00
2	E.Saelensminde	🇳🇴 NORWAY	35	91.4%	0.09
3	B.Muller	🇳🇱 NETHERLANDS	28	89.3%	0.18
4	S.Brink	🇳🇱 NETHERLANDS	26	88.5%	0.12
5	G.Holman	🇿🇦 SOUTH AFRICA	19	84.2%	0.16
6	G.Helgemo	🇳🇴 NORWAY	30	83.3%	0.17
7	B.Drijver	🇳🇱 NETHERLANDS	38	81.6%	0.18
8	T.Helness	🇳🇴 NORWAY	42	81.0%	0.19
9	S.De Wijs	🇳🇱 NETHERLANDS	21	81.0%	0.19
10	H.Weinstein	🇺🇸 USA 1	36	80.6%	0.19
11	G.Groetheim	🇳🇴 NORWAY	25	80.0%	0.24
12	T.Cope	🇿🇦 SOUTH AFRICA	25	80.0%	0.28
13	N.Eber	🇿🇦 SOUTH AFRICA	26	76.9%	0.23
14	U.Tundal	🇳🇴 NORWAY	21	76.2%	0.24
15	B.Brogeland	🇳🇴 NORWAY	37	75.7%	0.32
16	M.Rosenberg	🇺🇸 USA 1	45	73.3%	0.29
17	Z.Mahmood	🇺🇸 USA 1	42	71.4%	0.29
18	S.Garner	🇺🇸 USA 1	42	64.3%	0.36
19	G.Duboin	🇮🇹 ITALY	4	100.0%	0.00
20	W.Lazer	🇦🇺 AUSTRALIA	4	100.0%	0.00
21	L.Lauria	🇮🇹 ITALY	12	100.0%	0.00
22	H.Shi	🇨🇳 CHINA SMEG	9	100.0%	0.00
23	Z.Zhuang	🇨🇳 CHINA SMEG	2	100.0%	0.00
24	B.Efraimsson	🇸🇪 SWEDEN	8	100.0%	0.00
25	A.Morath	🇸🇪 SWEDEN	13	100.0%	0.00
26	F.Nystrom	🇸🇪 SWEDEN	14	92.9%	0.07
27	R.Jedrychowski	🇦🇺 AUSTRALIA	14	92.9%	0.07
28	G.Jacobs	🇺🇸 USA 1	25	92.0%	0.08
29	P.Gumby	🇦🇺 AUSTRALIA	12	91.7%	0.08
30	A.Apteker	🇿🇦 SOUTH AFRICA	12	91.7%	0.08
31	J.Upmark	🇸🇪 SWEDEN	9	88.9%	0.11
32	F.Fantoni	🇮🇹 ITALY	9	88.9%	0.11
33	Z.Fu	🇨🇳 CHINA SMEG	8	87.5%	0.12
34	A.Peake	🇦🇺 AUSTRALIA	15	86.7%	0.13
35	C.Nunes	🇮🇹 ITALY	7	85.7%	0.14
36	H.Bertens	🇳🇱 NETHERLANDS	19	84.2%	0.16
37	A.Versace	🇮🇹 ITALY	6	83.3%	0.17
38	T.Bakkeren	🇳🇱 NETHERLANDS	11	81.8%	0.18
39	P.Bertheau	🇸🇪 SWEDEN	11	81.8%	0.18
40	N.Bocchi	🇮🇹 ITALY	10	80.0%	0.20
41	M.Green	🇦🇺 AUSTRALIA	10	80.0%	0.20
42	S.Sun	🇨🇳 CHINA SMEG	20	80.0%	0.20
43	C.Gower	🇿🇦 SOUTH AFRICA	25	76.0%	0.24
44	R.Katz	🇺🇸 USA 1	25	76.0%	0.28
45	X.Wang	🇨🇳 CHINA SMEG	8	75.0%	0.25
46	P.Cullin	🇸🇪 SWEDEN	8	75.0%	0.25
47	B.Neill	🇦🇺 AUSTRALIA	11	72.7%	0.27
48	J.Zhao	🇨🇳 CHINA SMEG	7	71.4%	0.29

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	N.Eber	🇿🇦 SOUTH AFRICA	32	87.5%	0.22
2	H.Weinstein	🇺🇸 USA 1	41	85.4%	0.15
3	M.Rosenberg	🇺🇸 USA 1	32	84.4%	0.19
4	S.Brink	🇳🇱 NETHERLANDS	31	83.9%	0.23
5	Z.Mahmood	🇺🇸 USA 1	40	80.0%	0.23
6	S.Garner	🇺🇸 USA 1	43	79.1%	0.23
7	T.Helness	🇳🇴 NORWAY	41	78.0%	0.29
8	G.Helgemo	🇳🇴 NORWAY	34	76.5%	0.27
9	S.De Wijs	🇳🇱 NETHERLANDS	25	76.0%	0.32
10	B.Drijver	🇳🇱 NETHERLANDS	33	75.8%	0.27
11	B.Brogeland	🇳🇴 NORWAY	45	75.6%	0.33
12	B.Muller	🇳🇱 NETHERLANDS	23	73.9%	0.30
13	T.Cope	🇿🇦 SOUTH AFRICA	19	73.7%	0.37
14	G.Holman	🇿🇦 SOUTH AFRICA	17	70.6%	0.35
15	E.Saelensminde	🇳🇴 NORWAY	37	70.3%	0.35
16	C.Bosenberg	🇿🇦 SOUTH AFRICA	19	68.4%	0.37
17	U.Tundal	🇳🇴 NORWAY	25	68.0%	0.40
18	G.Groetheim	🇳🇴 NORWAY	25	56.0%	0.60
19	S.Sun	🇨🇳 CHINA SMEG	8	100.0%	0.00
20	J.Upmark	🇸🇪 SWEDEN	7	100.0%	0.00
21	Z.Fu	🇨🇳 CHINA SMEG	9	100.0%	0.00
22	N.Bocchi	🇮🇹 ITALY	8	87.5%	0.12
23	C.Nunes	🇮🇹 ITALY	7	85.7%	0.29
24	R.Jedrychowski	🇦🇺 AUSTRALIA	13	84.6%	0.23
25	M.Green	🇦🇺 AUSTRALIA	12	83.3%	0.17
26	F.Nystrom	🇸🇪 SWEDEN	12	83.3%	0.17
27	A.Apteker	🇿🇦 SOUTH AFRICA	23	82.6%	0.17
28	R.Katz	🇺🇸 USA 1	31	80.6%	0.23
29	H.Bertens	🇳🇱 NETHERLANDS	20	80.0%	0.30
30	X.Wang	🇨🇳 CHINA SMEG	10	80.0%	0.30
31	A.Peake	🇦🇺 AUSTRALIA	14	78.6%	0.21
32	C.Gower	🇿🇦 SOUTH AFRICA	27	77.8%	0.22
33	B.Neill	🇦🇺 AUSTRALIA	13	76.9%	0.31
34	A.Morath	🇸🇪 SWEDEN	13	76.9%	0.31
35	P.Gumby	🇦🇺 AUSTRALIA	4	75.0%	0.25
36	F.Fantoni	🇮🇹 ITALY	4	75.0%	0.25
37	G.Jacobs	🇺🇸 USA 1	11	72.7%	0.27
38	G.Duboin	🇮🇹 ITALY	11	72.7%	0.55
39	T.Bakkeren	🇳🇱 NETHERLANDS	18	72.2%	0.28
40	A.Versace	🇮🇹 ITALY	7	71.4%	0.29
41	H.Shi	🇨🇳 CHINA SMEG	7	71.4%	0.29
42	L.Lauria	🇮🇹 ITALY	10	70.0%	0.30
43	P.Cullin	🇸🇪 SWEDEN	10	70.0%	0.30
44	J.Zhao	🇨🇳 CHINA SMEG	10	70.0%	0.30
45	P.Bertheau	🇸🇪 SWEDEN	9	66.7%	0.67
46	B.Efraimsson	🇸🇪 SWEDEN	5	60.0%	0.40
47	W.Lazer	🇦🇺 AUSTRALIA	4	50.0%	0.50
48	Z.Zhuang	🇨🇳 CHINA SMEG	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	S.Garner	🇺🇸 USA 1	78	93.6%	0.06
2	H.Weinstein	🇺🇸 USA 1	78	93.6%	0.06
3	B.Brogeland	🇳🇴 NORWAY	72	91.7%	0.08
4	E.Saelensminde	🇳🇴 NORWAY	72	91.7%	0.08
5	G.Helgemo	🇳🇴 NORWAY	72	90.3%	0.10
6	T.Helness	🇳🇴 NORWAY	72	90.3%	0.10
7	S.De Wijs	🇳🇱 NETHERLANDS	49	89.8%	0.10
8	B.Muller	🇳🇱 NETHERLANDS	49	89.8%	0.10
9	T.Cope	🇿🇦 SOUTH AFRICA	44	88.6%	0.11
10	G.Holman	🇿🇦 SOUTH AFRICA	44	88.6%	0.11
11	Z.Mahmood	🇺🇸 USA 1	87	88.5%	0.13
12	M.Rosenberg	🇺🇸 USA 1	87	88.5%	0.13
13	G.Groetheim	🇳🇴 NORWAY	46	84.8%	0.17
14	U.Tundal	🇳🇴 NORWAY	46	84.8%	0.17
15	S.Brink	🇳🇱 NETHERLANDS	64	84.4%	0.19
16	B.Drijver	🇳🇱 NETHERLANDS	64	84.4%	0.19
17	C.Bosenberg	🇿🇦 SOUTH AFRICA	44	81.8%	0.20
18	N.Eber	🇿🇦 SOUTH AFRICA	44	81.8%	0.20
19	Z.Fu	🇨🇳 CHINA SMEG	15	100.0%	0.00
20	J.Zhao	🇨🇳 CHINA SMEG	15	100.0%	0.00
21	F.Fantoni	🇮🇹 ITALY	16	93.8%	0.06
22	C.Nunes	🇮🇹 ITALY	16	93.8%	0.06
23	N.Bocchi	🇮🇹 ITALY	14	92.9%	0.07
24	G.Duboin	🇮🇹 ITALY	14	92.9%	0.07
25	M.Green	🇦🇺 AUSTRALIA	25	92.0%	0.08
26	A.Peake	🇦🇺 AUSTRALIA	25	92.0%	0.08
27	G.Jacobs	🇺🇸 USA 1	50	92.0%	0.08
28	R.Katz	🇺🇸 USA 1	50	92.0%	0.08
29	P.Bertheau	🇸🇪 SWEDEN	25	92.0%	0.08
30	F.Nystrom	🇸🇪 SWEDEN	25	92.0%	0.08
31	S.Sun	🇨🇳 CHINA SMEG	28	89.3%	0.14
32	X.Wang	🇨🇳 CHINA SMEG	28	89.3%	0.14
33	P.Cullin	🇸🇪 SWEDEN	17	88.2%	0.12
34	J.Upmark	🇸🇪 SWEDEN	17	88.2%	0.12
35	R.Jedrychowski	🇦🇺 AUSTRALIA	25	88.0%	0.12
36	B.Neill	🇦🇺 AUSTRALIA	25	88.0%	0.12
37	T.Bakkeren	🇳🇱 NETHERLANDS	30	86.7%	0.13
38	H.Bertens	🇳🇱 NETHERLANDS	30	86.7%	0.13
39	A.Apteker	🇿🇦 SOUTH AFRICA	37	83.8%	0.16
40	C.Gower	🇿🇦 SOUTH AFRICA	37	83.8%	0.16
41	L.Lauria	🇮🇹 ITALY	18	83.3%	0.22
42	A.Versace	🇮🇹 ITALY	18	83.3%	0.22
43	H.Shi	🇨🇳 CHINA SMEG	11	81.8%	0.18
44	Z.Zhuang	🇨🇳 CHINA SMEG	11	81.8%	0.18
45	P.Gumby	🇦🇺 AUSTRALIA	16	81.2%	0.19
46	W.Lazer	🇦🇺 AUSTRALIA	16	81.2%	0.19
47	B.Efraimsson	🇸🇪 SWEDEN	21	81.0%	0.19
48	A.Morath	🇸🇪 SWEDEN	21	81.0%	0.19

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	G.Helgemo	🇳🇴 NORWAY	256	-0.06	+0.75	+0.70	▲2
2	T.Helness	🇳🇴 NORWAY	256	-0.06	+0.75	+0.70	▲2
3	B.Brogeland	🇳🇴 NORWAY	224	+0.03	+0.44	+0.47	▲4
4	E.Saelensminde	🇳🇴 NORWAY	224	+0.03	+0.44	+0.47	▲4
5	G.Groetheim	🇳🇴 NORWAY	160	-0.22	+0.69	+0.46	·
6	U.Tundal	🇳🇴 NORWAY	160	-0.22	+0.69	+0.46	·
7	S.Brink	🇳🇱 NETHERLANDS	192	-0.31	+0.77	+0.46	▼6
8	B.Drijver	🇳🇱 NETHERLANDS	192	-0.31	+0.77	+0.46	▼6
9	S.De Wijs	🇳🇱 NETHERLANDS	160	-0.29	+0.44	+0.15	·
10	B.Muller	🇳🇱 NETHERLANDS	160	-0.29	+0.44	+0.15	·
11	Z.Mahmood	🇺🇸 USA 1	256	-0.03	+0.04	+0.01	·
12	M.Rosenberg	🇺🇸 USA 1	256	-0.03	+0.04	+0.01	·
13	S.Garner	🇺🇸 USA 1	256	+0.23	-0.24	-0.01	▲2
14	H.Weinstein	🇺🇸 USA 1	256	+0.23	-0.24	-0.01	▲2
15	C.Bosenberg	🇿🇦 SOUTH AFRICA	160	+0.39	-0.69	-0.30	▲2
16	N.Eber	🇿🇦 SOUTH AFRICA	160	+0.39	-0.69	-0.30	▲2
17	T.Cope	🇿🇦 SOUTH AFRICA	176	-0.35	-0.00	-0.35	▼4
18	G.Holman	🇿🇦 SOUTH AFRICA	176	-0.35	-0.00	-0.35	▼4

Stages

Statistics