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	J.Meyers	🇺🇸 USA 1	199	+1.30	+259.0
2	J.Levin	🇺🇸 USA 1	199	+1.30	+259.0
3	Y.Liu	🇨🇳 CHINA GLOBAL TIMES	135	+0.61	+82.0
4	W.Wang	🇨🇳 CHINA GLOBAL TIMES	135	+0.61	+82.0
5	M.Sun	🇨🇳 CHINA GLOBAL TIMES	144	+0.54	+78.0
6	H.Wang	🇨🇳 CHINA GLOBAL TIMES	144	+0.54	+78.0
7	S.Auken	🇩🇪 GERMANY	256	+0.52	+133.0
8	D.Von Arnim	🇩🇪 GERMANY	256	+0.52	+133.0
9	B.Cronier	🇫🇷 FRANCE	186	+0.27	+51.0
10	S.Willard	🇫🇷 FRANCE	186	+0.27	+51.0
11	J.Stansby	🇺🇸 USA 1	224	-0.30	-68.0
12	D.Rosenberg	🇺🇸 USA 1	224	-0.30	-68.0
13	L.Gu	🇨🇳 CHINA GLOBAL TIMES	128	-0.40	-51.0
14	Y.Zhang	🇨🇳 CHINA GLOBAL TIMES	128	-0.40	-51.0
15	B.Hackett	🇩🇪 GERMANY	122	-0.43	-52.0
16	P.Nehmert	🇩🇪 GERMANY	122	-0.43	-52.0
17	C.D'Ovidio	🇫🇷 FRANCE	192	-0.98	-189.0
18	D.Gaviard	🇫🇷 FRANCE	192	-0.98	-189.0
19	C.Fishpool	🇫🇷 FRANCE	32	+1.69	+54.0
20	F.Pigeaud	🇫🇷 FRANCE	32	+1.69	+54.0
21	C.Jagger	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	48	+1.29	+62.0
22	S.Teshome	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	48	+1.29	+62.0
23	I.Levitina	🇺🇸 USA 1	80	+0.69	+55.0
24	H.Narasimhan	🇺🇸 USA 1	80	+0.69	+55.0
25	H.Eythorsdottir	🇺🇸 USA 2	64	+0.53	+34.0
26	R.Pollack	🇺🇸 USA 2	64	+0.53	+34.0
27	I.Brisebois	🇨🇦 CANADA	64	+0.47	+30.0
28	S.Summers-Caley	🇨🇦 CANADA	64	+0.47	+30.0
29	M.Brunner	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	48	+0.40	+19.0
30	R.Goldenfield	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	48	+0.40	+19.0
31	C.Bjerkan	🇺🇸 USA 2	48	+0.31	+15.0
32	K.Sanborn	🇺🇸 USA 2	48	+0.31	+15.0
33	F.Cimon	🇨🇦 CANADA	80	-0.16	-13.0
34	J.Fajgelzon	🇨🇦 CANADA	80	-0.16	-13.0
35	M.Khouri	🇪🇬 EGYPT	64	-0.22	-14.0
36	L.Khalil	🇪🇬 EGYPT	64	-0.22	-14.0
37	N.Ezz El-Din	🇪🇬 EGYPT	48	-0.29	-14.0
38	N.Omar	🇪🇬 EGYPT	48	-0.29	-14.0
39	S.Picus	🇺🇸 USA 2	48	-0.46	-22.0
40	S.Quinn	🇺🇸 USA 2	48	-0.46	-22.0
41	A.Alberti	🇩🇪 GERMANY	128	-1.46	-187.0
42	M.Schraverus-Meuer	🇩🇪 GERMANY	128	-1.46	-187.0
43	H.Dhondy	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	64	-1.81	-116.0
44	N.Smith	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	64	-1.81	-116.0
45	L.Lee	🇨🇦 CANADA	16	-2.12	-34.0
46	P.Nisbet	🇨🇦 CANADA	16	-2.12	-34.0
47	S.Sarwat	🇪🇬 EGYPT	48	-2.33	-112.0
48	N.Hamdy	🇪🇬 EGYPT	48	-2.33	-112.0

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	J.Meyers	🇺🇸 USA 1	33	93.9%	0.06
2	Y.Zhang	🇨🇳 CHINA GLOBAL TIMES	26	92.3%	0.08
3	P.Nehmert	🇩🇪 GERMANY	27	88.9%	0.11
4	C.D'Ovidio	🇫🇷 FRANCE	31	87.1%	0.13
5	D.Rosenberg	🇺🇸 USA 1	30	86.7%	0.13
6	D.Gaviard	🇫🇷 FRANCE	30	86.7%	0.13
7	B.Hackett	🇩🇪 GERMANY	27	85.2%	0.15
8	S.Auken	🇩🇪 GERMANY	42	83.3%	0.17
9	B.Cronier	🇫🇷 FRANCE	34	82.4%	0.23
10	Y.Liu	🇨🇳 CHINA GLOBAL TIMES	28	82.1%	0.18
11	S.Willard	🇫🇷 FRANCE	27	81.5%	0.18
12	J.Levin	🇺🇸 USA 1	31	80.6%	0.19
13	D.Von Arnim	🇩🇪 GERMANY	36	80.6%	0.19
14	L.Gu	🇨🇳 CHINA GLOBAL TIMES	22	77.3%	0.23
15	M.Sun	🇨🇳 CHINA GLOBAL TIMES	29	75.9%	0.24
16	W.Wang	🇨🇳 CHINA GLOBAL TIMES	26	73.1%	0.27
17	J.Stansby	🇺🇸 USA 1	37	73.0%	0.27
18	H.Wang	🇨🇳 CHINA GLOBAL TIMES	33	69.7%	0.30
19	S.Picus	🇺🇸 USA 2	9	100.0%	0.00
20	S.Summers-Caley	🇨🇦 CANADA	6	100.0%	0.00
21	S.Teshome	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	9	100.0%	0.00
22	L.Lee	🇨🇦 CANADA	1	100.0%	0.00
23	P.Nisbet	🇨🇦 CANADA	4	100.0%	0.00
24	I.Levitina	🇺🇸 USA 1	15	93.3%	0.07
25	I.Brisebois	🇨🇦 CANADA	15	93.3%	0.07
26	N.Ezz El-Din	🇪🇬 EGYPT	15	93.3%	0.07
27	L.Khalil	🇪🇬 EGYPT	15	93.3%	0.07
28	H.Narasimhan	🇺🇸 USA 1	14	92.9%	0.07
29	J.Fajgelzon	🇨🇦 CANADA	13	92.3%	0.08
30	H.Eythorsdottir	🇺🇸 USA 2	13	92.3%	0.08
31	A.Alberti	🇩🇪 GERMANY	24	91.7%	0.08
32	R.Goldenfield	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	11	90.9%	0.09
33	N.Omar	🇪🇬 EGYPT	9	88.9%	0.11
34	R.Pollack	🇺🇸 USA 2	8	87.5%	0.12
35	F.Cimon	🇨🇦 CANADA	14	85.7%	0.14
36	C.Jagger	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	7	85.7%	0.14
37	C.Fishpool	🇫🇷 FRANCE	6	83.3%	0.17
38	C.Bjerkan	🇺🇸 USA 2	5	80.0%	0.20
39	N.Smith	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	13	76.9%	0.23
40	M.Schraverus-Meuer	🇩🇪 GERMANY	21	76.2%	0.24
41	S.Sarwat	🇪🇬 EGYPT	8	75.0%	0.25
42	S.Quinn	🇺🇸 USA 2	10	70.0%	0.30
43	H.Dhondy	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	9	66.7%	0.33
44	K.Sanborn	🇺🇸 USA 2	12	66.7%	0.42
45	M.Khouri	🇪🇬 EGYPT	8	62.5%	0.38
46	N.Hamdy	🇪🇬 EGYPT	8	62.5%	0.38
47	F.Pigeaud	🇫🇷 FRANCE	5	60.0%	0.40
48	M.Brunner	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	7	57.1%	0.43

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	🇨🇳 CHINA GLOBAL TIMES	23	91.3%	0.09
2	J.Meyers	🇺🇸 USA 1	38	86.8%	0.13
3	S.Auken	🇩🇪 GERMANY	45	84.4%	0.18
4	W.Wang	🇨🇳 CHINA GLOBAL TIMES	23	82.6%	0.17
5	D.Von Arnim	🇩🇪 GERMANY	38	81.6%	0.21
6	S.Willard	🇫🇷 FRANCE	31	80.6%	0.26
7	J.Levin	🇺🇸 USA 1	28	78.6%	0.21
8	B.Hackett	🇩🇪 GERMANY	14	78.6%	0.21
9	D.Rosenberg	🇺🇸 USA 1	42	76.2%	0.29
10	B.Cronier	🇫🇷 FRANCE	37	73.0%	0.32
11	Y.Zhang	🇨🇳 CHINA GLOBAL TIMES	18	72.2%	0.33
12	D.Gaviard	🇫🇷 FRANCE	36	72.2%	0.36
13	C.D'Ovidio	🇫🇷 FRANCE	37	67.6%	0.35
14	J.Stansby	🇺🇸 USA 1	48	64.6%	0.38
15	P.Nehmert	🇩🇪 GERMANY	25	64.0%	0.40
16	L.Gu	🇨🇳 CHINA GLOBAL TIMES	21	61.9%	0.48
17	M.Sun	🇨🇳 CHINA GLOBAL TIMES	19	57.9%	0.42
18	H.Wang	🇨🇳 CHINA GLOBAL TIMES	20	50.0%	0.60
19	K.Sanborn	🇺🇸 USA 2	8	100.0%	0.00
20	S.Picus	🇺🇸 USA 2	7	100.0%	0.00
21	S.Teshome	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	14	100.0%	0.00
22	N.Ezz El-Din	🇪🇬 EGYPT	8	100.0%	0.00
23	I.Levitina	🇺🇸 USA 1	22	90.9%	0.14
24	N.Hamdy	🇪🇬 EGYPT	9	88.9%	0.11
25	R.Pollack	🇺🇸 USA 2	14	85.7%	0.14
26	H.Eythorsdottir	🇺🇸 USA 2	13	84.6%	0.23
27	F.Pigeaud	🇫🇷 FRANCE	6	83.3%	0.17
28	L.Khalil	🇪🇬 EGYPT	11	81.8%	0.18
29	M.Brunner	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	16	81.2%	0.31
30	C.Bjerkan	🇺🇸 USA 2	9	77.8%	0.22
31	H.Narasimhan	🇺🇸 USA 1	9	77.8%	0.22
32	J.Fajgelzon	🇨🇦 CANADA	21	76.2%	0.33
33	I.Brisebois	🇨🇦 CANADA	8	75.0%	0.25
34	S.Summers-Caley	🇨🇦 CANADA	8	75.0%	0.25
35	L.Lee	🇨🇦 CANADA	4	75.0%	0.25
36	H.Dhondy	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	16	75.0%	0.25
37	A.Alberti	🇩🇪 GERMANY	19	73.7%	0.26
38	C.Jagger	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	7	71.4%	0.29
39	N.Smith	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	10	70.0%	0.40
40	M.Khouri	🇪🇬 EGYPT	16	68.8%	0.31
41	R.Goldenfield	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	3	66.7%	0.33
42	F.Cimon	🇨🇦 CANADA	15	66.7%	0.47
43	S.Quinn	🇺🇸 USA 2	8	62.5%	0.50
44	M.Schraverus-Meuer	🇩🇪 GERMANY	20	60.0%	0.40
45	N.Omar	🇪🇬 EGYPT	5	60.0%	0.40
46	C.Fishpool	🇫🇷 FRANCE	4	50.0%	0.50
47	S.Sarwat	🇪🇬 EGYPT	9	44.4%	0.78
48	P.Nisbet	🇨🇦 CANADA	1	0.0%	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	B.Cronier	🇫🇷 FRANCE	61	95.1%	0.07
2	S.Willard	🇫🇷 FRANCE	61	95.1%	0.07
3	J.Stansby	🇺🇸 USA 1	67	92.5%	0.07
4	D.Rosenberg	🇺🇸 USA 1	67	92.5%	0.07
5	J.Meyers	🇺🇸 USA 1	64	90.6%	0.14
6	J.Levin	🇺🇸 USA 1	64	90.6%	0.14
7	L.Gu	🇨🇳 CHINA GLOBAL TIMES	48	89.6%	0.10
8	Y.Zhang	🇨🇳 CHINA GLOBAL TIMES	48	89.6%	0.10
9	Y.Liu	🇨🇳 CHINA GLOBAL TIMES	54	88.9%	0.13
10	W.Wang	🇨🇳 CHINA GLOBAL TIMES	54	88.9%	0.13
11	C.D'Ovidio	🇫🇷 FRANCE	61	88.5%	0.13
12	D.Gaviard	🇫🇷 FRANCE	61	88.5%	0.13
13	S.Auken	🇩🇪 GERMANY	78	85.9%	0.14
14	D.Von Arnim	🇩🇪 GERMANY	78	85.9%	0.14
15	B.Hackett	🇩🇪 GERMANY	54	85.2%	0.18
16	P.Nehmert	🇩🇪 GERMANY	54	85.2%	0.18
17	M.Sun	🇨🇳 CHINA GLOBAL TIMES	62	83.9%	0.19
18	H.Wang	🇨🇳 CHINA GLOBAL TIMES	62	83.9%	0.19
19	C.Fishpool	🇫🇷 FRANCE	11	100.0%	0.00
20	F.Pigeaud	🇫🇷 FRANCE	11	100.0%	0.00
21	C.Bjerkan	🇺🇸 USA 2	17	94.1%	0.47
22	K.Sanborn	🇺🇸 USA 2	17	94.1%	0.47
23	I.Brisebois	🇨🇦 CANADA	21	90.5%	0.10
24	S.Summers-Caley	🇨🇦 CANADA	21	90.5%	0.10
25	H.Eythorsdottir	🇺🇸 USA 2	21	90.5%	0.10
26	R.Pollack	🇺🇸 USA 2	21	90.5%	0.10
27	F.Cimon	🇨🇦 CANADA	27	88.9%	0.18
28	J.Fajgelzon	🇨🇦 CANADA	27	88.9%	0.18
29	S.Sarwat	🇪🇬 EGYPT	16	87.5%	0.12
30	N.Hamdy	🇪🇬 EGYPT	16	87.5%	0.12
31	C.Jagger	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	16	87.5%	0.19
32	S.Teshome	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	16	87.5%	0.19
33	M.Khouri	🇪🇬 EGYPT	23	87.0%	0.13
34	L.Khalil	🇪🇬 EGYPT	23	87.0%	0.13
35	H.Dhondy	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	22	86.4%	0.18
36	N.Smith	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	22	86.4%	0.18
37	I.Levitina	🇺🇸 USA 1	29	86.2%	0.14
38	H.Narasimhan	🇺🇸 USA 1	29	86.2%	0.14
39	S.Picus	🇺🇸 USA 2	19	84.2%	0.16
40	S.Quinn	🇺🇸 USA 2	19	84.2%	0.16
41	M.Brunner	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	18	83.3%	0.33
42	R.Goldenfield	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	18	83.3%	0.33
43	N.Ezz El-Din	🇪🇬 EGYPT	24	79.2%	0.21
44	N.Omar	🇪🇬 EGYPT	24	79.2%	0.21
45	A.Alberti	🇩🇪 GERMANY	45	77.8%	0.24
46	M.Schraverus-Meuer	🇩🇪 GERMANY	45	77.8%	0.24
47	L.Lee	🇨🇦 CANADA	5	60.0%	0.40
48	P.Nisbet	🇨🇦 CANADA	5	60.0%	0.40

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.Liu	🇨🇳 CHINA GLOBAL TIMES	176	+0.17	+0.59	+0.75	▲4
2	W.Wang	🇨🇳 CHINA GLOBAL TIMES	176	+0.17	+0.59	+0.75	▲4
3	J.Meyers	🇺🇸 USA 1	224	-0.20	+0.88	+0.68	·
4	J.Stansby	🇺🇸 USA 1	224	-0.45	+1.06	+0.61	▼3
5	J.Levin	🇺🇸 USA 1	240	-0.26	+0.84	+0.58	▼1
6	D.Rosenberg	🇺🇸 USA 1	240	-0.49	+1.01	+0.52	▼4
7	S.Auken	🇩🇪 GERMANY	288	+0.21	-0.05	+0.15	▲4
8	D.Von Arnim	🇩🇪 GERMANY	288	+0.21	-0.05	+0.15	▲4
9	M.Sun	🇨🇳 CHINA GLOBAL TIMES	160	+0.48	-0.39	+0.09	▲4
10	H.Wang	🇨🇳 CHINA GLOBAL TIMES	160	+0.48	-0.39	+0.09	▲4
11	L.Gu	🇨🇳 CHINA GLOBAL TIMES	144	-0.67	+0.54	-0.13	▼4
12	Y.Zhang	🇨🇳 CHINA GLOBAL TIMES	144	-0.67	+0.54	-0.13	▼4
13	C.D'Ovidio	🇫🇷 FRANCE	224	-0.39	+0.21	-0.18	▼4
14	D.Gaviard	🇫🇷 FRANCE	224	-0.39	+0.21	-0.18	▼4
15	B.Cronier	🇫🇷 FRANCE	224	+0.26	-0.61	-0.35	▲2
16	S.Willard	🇫🇷 FRANCE	224	+0.26	-0.61	-0.35	▲2
17	B.Hackett	🇩🇪 GERMANY	160	-0.01	-0.56	-0.57	▼2
18	P.Nehmert	🇩🇪 GERMANY	160	-0.01	-0.56	-0.57	▼2

Stages

Statistics