Buenosaires 2024 — 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.Grue	🇺🇸 U.S.A.	192	+1.32	+254.0
2	B.Moss	🇺🇸 U.S.A.	192	+1.32	+254.0
3	M.Rimstedt	🇸🇪 SWEDEN	192	+1.17	+225.0
4	O.Rimstedt	🇸🇪 SWEDEN	192	+1.17	+225.0
5	A.Black	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	144	+1.01	+146.0
6	D.Gold	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	144	+1.01	+146.0
7	C.Boland	🇮🇪 IRELAND	192	+0.95	+183.0
8	T.Hanlon	🇮🇪 IRELAND	192	+0.95	+183.0
9	K.Bathurst	🇺🇸 U.S.A.	176	+0.95	+167.0
10	J.Hurd	🇺🇸 U.S.A.	176	+0.95	+167.0
11	I.Bacalu	🇷🇴 ROMANIA	176	+0.91	+161.0
12	I.Coldea	🇷🇴 ROMANIA	176	+0.91	+161.0
13	C.Lucena	🇦🇷 ARGENTINA	144	+0.80	+115.0
14	O.Toledano	🇮🇱 ISRAEL	176	+0.77	+136.0
15	A.Zamir	🇮🇱 ISRAEL	176	+0.77	+136.0
16	B.Tarnovski	🇮🇱 ISRAEL	160	+0.74	+119.0
17	A.Yekutieli	🇮🇱 ISRAEL	160	+0.74	+119.0
18	J.Carroll	🇮🇪 IRELAND	176	+0.73	+129.0
19	M.Moran	🇮🇪 IRELAND	176	+0.73	+129.0
20	G.Fractman	🇪🇸 SPAIN	176	+0.73	+128.0
21	J.Sabate	🇪🇸 SPAIN	176	+0.73	+128.0
22	M.Brown	🇳🇿 NEW ZEALAND	224	+0.68	+153.0
23	M.Whibley	🇳🇿 NEW ZEALAND	224	+0.68	+153.0
24	B.Drijver	🇳🇱 NETHERLANDS	176	+0.57	+101.0
25	R.Van Prooijen	🇳🇱 NETHERLANDS	176	+0.57	+101.0
26	A.Bianchedi	🇦🇷 ARGENTINA	256	+0.54	+137.0
27	A.Madala	🇦🇷 ARGENTINA	256	+0.54	+137.0
28	L.Rizzo	🇦🇷 ARGENTINA	256	+0.38	+97.0
29	J.Pacareu	🇨🇱 CHILE	256	+0.33	+84.0
30	B.Robles	🇨🇱 CHILE	256	+0.33	+84.0
31	N.Eber	🇿🇦 SOUTH AFRICA	160	+0.26	+42.0
32	H.Fick	🇿🇦 SOUTH AFRICA	160	+0.26	+42.0
33	J.Fritsche	🇩🇪 GERMANY	192	+0.24	+47.0
34	K.Reps	🇩🇪 GERMANY	192	+0.24	+47.0
35	Y.Hung	🇹🇼 CHINESE TAIPEI	208	+0.24	+49.0
36	H.So	🇹🇼 CHINESE TAIPEI	208	+0.24	+49.0
37	P.Bertheau	🇸🇪 SWEDEN	144	+0.15	+22.0
38	S.Hult	🇸🇪 SWEDEN	144	+0.15	+22.0
39	V.Kiljan	🇳🇱 NETHERLANDS	160	+0.11	+18.0
40	B.Nab	🇳🇱 NETHERLANDS	160	+0.11	+18.0
41	M.Bascunan	🇨🇱 CHILE	112	+0.08	+9.0
42	G.Hopfenheit	🇩🇪 GERMANY	160	+0.07	+12.0
43	S.Reim	🇩🇪 GERMANY	160	+0.07	+12.0
44	B.Van Den Bos	🇳🇱 NETHERLANDS	176	+0.07	+12.0
45	J.Van Lankveld	🇳🇱 NETHERLANDS	176	+0.07	+12.0
46	N.Apteker	🇿🇦 SOUTH AFRICA	176	+0.05	+9.0
47	R.Stephens	🇿🇦 SOUTH AFRICA	176	+0.05	+9.0
48	D.Gerin	🇬🇵 GUADELOUPE	176	-0.02	-3.0
49	J.Linde	🇩🇪 GERMANY	160	-0.06	-9.0
50	C.Schwerdt	🇩🇪 GERMANY	160	-0.06	-9.0
51	F.Nystrom	🇸🇪 SWEDEN	176	-0.06	-11.0
52	J.Upmark	🇸🇪 SWEDEN	176	-0.06	-11.0
53	J.Pelletier	🇬🇵 GUADELOUPE	160	-0.07	-11.0
54	P.Mathieu	🇬🇵 GUADELOUPE	192	-0.12	-23.0
55	H.Camberos	🇦🇷 ARGENTINA	112	-0.16	-18.0
56	L.Soudan	🇬🇵 GUADELOUPE	160	-0.16	-26.0
57	J.Robles	🇨🇱 CHILE	224	-0.18	-41.0
58	I.Herbst	🇮🇱 ISRAEL	176	-0.22	-39.0
59	O.Herbst	🇮🇱 ISRAEL	176	-0.22	-39.0
60	C.Ng	🇭🇰 HONG KONG CHINA	160	-0.25	-40.0
61	C.Wai	🇭🇰 HONG KONG CHINA	160	-0.25	-40.0
62	C.Hung	🇹🇼 CHINESE TAIPEI	144	-0.25	-36.0
63	M.Wu	🇹🇼 CHINESE TAIPEI	144	-0.25	-36.0
64	Y.Mohammad	🇵🇰 PAKISTAN	176	-0.27	-47.0
65	S.Sarki	🇵🇰 PAKISTAN	176	-0.27	-47.0
66	W.Chiu	🇭🇰 HONG KONG CHINA	176	-0.28	-49.0
67	S.Sze	🇭🇰 HONG KONG CHINA	176	-0.28	-49.0
68	D.Calipetre	🇷🇴 ROMANIA	160	-0.28	-45.0
69	C.Teodorescu	🇷🇴 ROMANIA	160	-0.28	-45.0
70	J.Smith	🇨🇱 CHILE	176	-0.40	-70.0
71	A.Apteker	🇿🇦 SOUTH AFRICA	176	-0.40	-71.0
72	C.Gower	🇿🇦 SOUTH AFRICA	176	-0.40	-71.0
73	S.Donciu	🇷🇴 ROMANIA	176	-0.48	-85.0
74	M.Grigoriu	🇷🇴 ROMANIA	176	-0.48	-85.0
75	M.Mcmanus	🇳🇿 NEW ZEALAND	160	-0.53	-84.0
76	M.Ware	🇳🇿 NEW ZEALAND	160	-0.53	-84.0
77	G.Ho	🇭🇰 HONG KONG CHINA	176	-0.57	-100.0
78	W.Ho	🇭🇰 HONG KONG CHINA	176	-0.57	-100.0
79	J.Chen	🇹🇼 CHINESE TAIPEI	160	-0.61	-97.0
80	H.Lin	🇹🇼 CHINESE TAIPEI	160	-0.61	-97.0
81	L.Meier	🇳🇿 NEW ZEALAND	128	-0.68	-87.0
82	G.Tislevoll	🇳🇿 NEW ZEALAND	128	-0.68	-87.0
83	A.Mcintosh	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	208	-0.72	-149.0
84	T.Paske	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	208	-0.72	-149.0
85	S.Cope	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	160	-0.75	-120.0
86	P.Crouch	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	160	-0.75	-120.0
87	R.Gomez	🇪🇸 SPAIN	160	-0.79	-126.0
88	P.Goncalves	🇪🇸 SPAIN	160	-0.79	-126.0
89	M.Fleisher	🇺🇸 U.S.A.	144	-0.85	-123.0
90	C.Martel	🇺🇸 U.S.A.	144	-0.85	-123.0
91	F.Goded	🇪🇸 SPAIN	176	-0.88	-154.0
92	G.Goded	🇪🇸 SPAIN	176	-0.88	-154.0
93	Z.Hai	🇵🇰 PAKISTAN	176	-1.11	-195.0
94	A.Kizilbash	🇵🇰 PAKISTAN	176	-1.11	-195.0
95	C.Garnier	🇬🇵 GUADELOUPE	176	-1.25	-220.0
96	F.Picard	🇬🇵 GUADELOUPE	160	-1.34	-215.0
97	N.Fitzgibbon	🇮🇪 IRELAND	144	-1.45	-209.0
98	A.Mesbur	🇮🇪 IRELAND	144	-1.45	-209.0
99	G.Bilal	🇵🇰 PAKISTAN	160	-1.59	-255.0
100	I.Syed	🇵🇰 PAKISTAN	160	-1.59	-255.0

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.Ho	🇭🇰 HONG KONG CHINA	40	95.0%	0.10
2	A.Black	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	44	90.9%	0.09
3	A.Mcintosh	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	54	90.7%	0.15
4	J.Hurd	🇺🇸 U.S.A.	49	89.8%	0.22
5	B.Van Den Bos	🇳🇱 NETHERLANDS	38	89.5%	0.10
6	C.Ng	🇭🇰 HONG KONG CHINA	35	88.6%	0.14
7	A.Kizilbash	🇵🇰 PAKISTAN	43	88.4%	0.19
8	O.Rimstedt	🇸🇪 SWEDEN	40	87.5%	0.15
9	I.Coldea	🇷🇴 ROMANIA	55	87.3%	0.13
10	J.Robles	🇨🇱 CHILE	53	86.8%	0.17
11	H.Camberos	🇦🇷 ARGENTINA	30	86.7%	0.13
12	J.Linde	🇩🇪 GERMANY	52	86.5%	0.25
13	C.Boland	🇮🇪 IRELAND	55	85.5%	0.14
14	T.Hanlon	🇮🇪 IRELAND	55	85.5%	0.14
15	I.Herbst	🇮🇱 ISRAEL	48	85.4%	0.15
16	H.Fick	🇿🇦 SOUTH AFRICA	41	85.4%	0.15
17	C.Garnier	🇬🇵 GUADELOUPE	41	85.4%	0.17
18	J.Pacareu	🇨🇱 CHILE	75	85.3%	0.15
19	J.Fritsche	🇩🇪 GERMANY	47	85.1%	0.17
20	W.Chiu	🇭🇰 HONG KONG CHINA	40	85.0%	0.15
21	J.Pelletier	🇬🇵 GUADELOUPE	46	84.8%	0.17
22	M.Rimstedt	🇸🇪 SWEDEN	58	84.5%	0.17
23	A.Mesbur	🇮🇪 IRELAND	32	84.4%	0.16
24	B.Drijver	🇳🇱 NETHERLANDS	38	84.2%	0.16
25	C.Teodorescu	🇷🇴 ROMANIA	37	83.8%	0.19
26	A.Apteker	🇿🇦 SOUTH AFRICA	42	83.3%	0.17
27	C.Hung	🇹🇼 CHINESE TAIPEI	36	83.3%	0.19
28	M.Fleisher	🇺🇸 U.S.A.	30	83.3%	0.20
29	P.Crouch	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	47	83.0%	0.19
30	H.So	🇹🇼 CHINESE TAIPEI	46	82.6%	0.20
31	R.Gomez	🇪🇸 SPAIN	46	82.6%	0.20
32	A.Yekutieli	🇮🇱 ISRAEL	40	82.5%	0.17
33	B.Robles	🇨🇱 CHILE	62	82.3%	0.18
34	J.Upmark	🇸🇪 SWEDEN	45	82.2%	0.18
35	V.Kiljan	🇳🇱 NETHERLANDS	39	82.1%	0.20
36	F.Goded	🇪🇸 SPAIN	39	82.1%	0.20
37	I.Syed	🇵🇰 PAKISTAN	28	82.1%	0.21
38	J.Grue	🇺🇸 U.S.A.	50	82.0%	0.18
39	G.Goded	🇪🇸 SPAIN	50	82.0%	0.22
40	M.Grigoriu	🇷🇴 ROMANIA	44	81.8%	0.18
41	K.Bathurst	🇺🇸 U.S.A.	48	81.2%	0.25
42	M.Mcmanus	🇳🇿 NEW ZEALAND	37	81.1%	0.19
43	Y.Mohammad	🇵🇰 PAKISTAN	53	81.1%	0.19
44	S.Sarki	🇵🇰 PAKISTAN	53	81.1%	0.21
45	A.Zamir	🇮🇱 ISRAEL	42	81.0%	0.24
46	L.Meier	🇳🇿 NEW ZEALAND	26	80.8%	0.19
47	Y.Hung	🇹🇼 CHINESE TAIPEI	52	80.8%	0.21
48	L.Soudan	🇬🇵 GUADELOUPE	31	80.6%	0.19
49	S.Cope	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	31	80.6%	0.23
50	O.Toledano	🇮🇱 ISRAEL	46	80.4%	0.22
51	R.Stephens	🇿🇦 SOUTH AFRICA	46	80.4%	0.22
52	R.Van Prooijen	🇳🇱 NETHERLANDS	40	80.0%	0.20
53	J.Carroll	🇮🇪 IRELAND	40	80.0%	0.23
54	A.Madala	🇦🇷 ARGENTINA	69	79.7%	0.23
55	L.Rizzo	🇦🇷 ARGENTINA	64	79.7%	0.28
56	B.Tarnovski	🇮🇱 ISRAEL	39	79.5%	0.20
57	C.Lucena	🇦🇷 ARGENTINA	44	79.5%	0.20
58	I.Bacalu	🇷🇴 ROMANIA	39	79.5%	0.23
59	M.Moran	🇮🇪 IRELAND	48	79.2%	0.25
60	C.Gower	🇿🇦 SOUTH AFRICA	48	79.2%	0.38
61	J.Chen	🇹🇼 CHINESE TAIPEI	43	79.1%	0.23
62	N.Eber	🇿🇦 SOUTH AFRICA	38	78.9%	0.21
63	C.Schwerdt	🇩🇪 GERMANY	33	78.8%	0.24
64	G.Hopfenheit	🇩🇪 GERMANY	47	78.7%	0.26
65	A.Bianchedi	🇦🇷 ARGENTINA	47	78.7%	0.28
66	O.Herbst	🇮🇱 ISRAEL	37	78.4%	0.24
67	K.Reps	🇩🇪 GERMANY	41	78.0%	0.24
68	D.Calipetre	🇷🇴 ROMANIA	41	78.0%	0.24
69	M.Whibley	🇳🇿 NEW ZEALAND	50	78.0%	0.26
70	S.Donciu	🇷🇴 ROMANIA	45	77.8%	0.24
71	D.Gold	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	31	77.4%	0.26
72	M.Bascunan	🇨🇱 CHILE	22	77.3%	0.23
73	P.Mathieu	🇬🇵 GUADELOUPE	52	76.9%	0.27
74	J.Smith	🇨🇱 CHILE	43	76.7%	0.26
75	D.Gerin	🇬🇵 GUADELOUPE	43	76.7%	0.26
76	M.Ware	🇳🇿 NEW ZEALAND	38	76.3%	0.24
77	H.Lin	🇹🇼 CHINESE TAIPEI	38	76.3%	0.42
78	J.Sabate	🇪🇸 SPAIN	50	76.0%	0.30
79	G.Tislevoll	🇳🇿 NEW ZEALAND	37	75.7%	0.24
80	N.Apteker	🇿🇦 SOUTH AFRICA	36	75.0%	0.25
81	G.Fractman	🇪🇸 SPAIN	44	75.0%	0.27
82	T.Paske	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	48	75.0%	0.33
83	G.Bilal	🇵🇰 PAKISTAN	47	74.5%	0.28
84	C.Wai	🇭🇰 HONG KONG CHINA	51	74.5%	0.39
85	B.Moss	🇺🇸 U.S.A.	39	74.4%	0.28
86	J.Van Lankveld	🇳🇱 NETHERLANDS	43	74.4%	0.30
87	P.Bertheau	🇸🇪 SWEDEN	39	74.4%	0.33
88	B.Nab	🇳🇱 NETHERLANDS	42	73.8%	0.31
89	S.Reim	🇩🇪 GERMANY	37	73.0%	0.27
90	S.Sze	🇭🇰 HONG KONG CHINA	37	73.0%	0.30
91	M.Brown	🇳🇿 NEW ZEALAND	61	72.1%	0.31
92	P.Goncalves	🇪🇸 SPAIN	39	71.8%	0.28
93	F.Picard	🇬🇵 GUADELOUPE	40	70.0%	0.38
94	N.Fitzgibbon	🇮🇪 IRELAND	43	69.8%	0.33
95	S.Hult	🇸🇪 SWEDEN	33	69.7%	0.33
96	Z.Hai	🇵🇰 PAKISTAN	37	67.6%	0.38
97	G.Ho	🇭🇰 HONG KONG CHINA	43	67.4%	0.37
98	F.Nystrom	🇸🇪 SWEDEN	42	66.7%	0.36
99	M.Wu	🇹🇼 CHINESE TAIPEI	42	64.3%	0.38
100	C.Martel	🇺🇸 U.S.A.	37	62.2%	0.49

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	J.Hurd	🇺🇸 U.S.A.	35	88.6%	0.11
2	M.Whibley	🇳🇿 NEW ZEALAND	63	87.3%	0.16
3	C.Hung	🇹🇼 CHINESE TAIPEI	30	86.7%	0.17
4	O.Rimstedt	🇸🇪 SWEDEN	47	85.1%	0.15
5	S.Sarki	🇵🇰 PAKISTAN	38	84.2%	0.18
6	D.Gold	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	31	83.9%	0.19
7	G.Fractman	🇪🇸 SPAIN	41	82.9%	0.17
8	I.Bacalu	🇷🇴 ROMANIA	41	82.9%	0.20
9	J.Pelletier	🇬🇵 GUADELOUPE	40	82.5%	0.17
10	C.Lucena	🇦🇷 ARGENTINA	28	82.1%	0.21
11	A.Zamir	🇮🇱 ISRAEL	44	81.8%	0.20
12	J.Grue	🇺🇸 U.S.A.	44	81.8%	0.23
13	M.Brown	🇳🇿 NEW ZEALAND	49	81.6%	0.18
14	R.Van Prooijen	🇳🇱 NETHERLANDS	43	81.4%	0.23
15	F.Nystrom	🇸🇪 SWEDEN	45	80.0%	0.24
16	B.Moss	🇺🇸 U.S.A.	59	79.7%	0.22
17	T.Hanlon	🇮🇪 IRELAND	48	79.2%	0.25
18	G.Hopfenheit	🇩🇪 GERMANY	38	78.9%	0.24
19	A.Yekutieli	🇮🇱 ISRAEL	42	78.6%	0.24
20	C.Martel	🇺🇸 U.S.A.	37	78.4%	0.27
21	Y.Mohammad	🇵🇰 PAKISTAN	32	78.1%	0.22
22	B.Robles	🇨🇱 CHILE	59	78.0%	0.25
23	B.Nab	🇳🇱 NETHERLANDS	41	78.0%	0.27
24	A.Bianchedi	🇦🇷 ARGENTINA	72	77.8%	0.26
25	M.Wu	🇹🇼 CHINESE TAIPEI	36	77.8%	0.36
26	P.Goncalves	🇪🇸 SPAIN	40	77.5%	0.23
27	S.Cope	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	35	77.1%	0.26
28	B.Tarnovski	🇮🇱 ISRAEL	39	76.9%	0.26
29	H.So	🇹🇼 CHINESE TAIPEI	64	76.6%	0.28
30	H.Fick	🇿🇦 SOUTH AFRICA	34	76.5%	0.23
31	A.Mesbur	🇮🇪 IRELAND	34	76.5%	0.35
32	B.Drijver	🇳🇱 NETHERLANDS	55	76.4%	0.27
33	M.Moran	🇮🇪 IRELAND	38	76.3%	0.26
34	D.Gerin	🇬🇵 GUADELOUPE	38	76.3%	0.29
35	R.Stephens	🇿🇦 SOUTH AFRICA	46	76.1%	0.26
36	F.Goded	🇪🇸 SPAIN	50	76.0%	0.28
37	S.Reim	🇩🇪 GERMANY	37	75.7%	0.27
38	C.Wai	🇭🇰 HONG KONG CHINA	37	75.7%	0.35
39	O.Herbst	🇮🇱 ISRAEL	45	75.6%	0.24
40	I.Coldea	🇷🇴 ROMANIA	41	75.6%	0.37
41	T.Paske	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	53	75.5%	0.26
42	N.Apteker	🇿🇦 SOUTH AFRICA	48	75.0%	0.27
43	J.Linde	🇩🇪 GERMANY	36	75.0%	0.28
44	C.Ng	🇭🇰 HONG KONG CHINA	36	75.0%	0.28
45	K.Bathurst	🇺🇸 U.S.A.	44	75.0%	0.39
46	S.Donciu	🇷🇴 ROMANIA	47	74.5%	0.26
47	N.Eber	🇿🇦 SOUTH AFRICA	47	74.5%	0.30
48	W.Ho	🇭🇰 HONG KONG CHINA	50	74.0%	0.30
49	A.Mcintosh	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	53	73.6%	0.28
50	J.Fritsche	🇩🇪 GERMANY	60	73.3%	0.30
51	J.Sabate	🇪🇸 SPAIN	41	73.2%	0.37
52	H.Camberos	🇦🇷 ARGENTINA	26	73.1%	0.31
53	J.Robles	🇨🇱 CHILE	59	72.9%	0.27
54	J.Pacareu	🇨🇱 CHILE	59	72.9%	0.37
55	M.Rimstedt	🇸🇪 SWEDEN	47	72.3%	0.28
56	P.Bertheau	🇸🇪 SWEDEN	36	72.2%	0.31
57	B.Van Den Bos	🇳🇱 NETHERLANDS	43	72.1%	0.30
58	A.Madala	🇦🇷 ARGENTINA	68	72.1%	0.31
59	K.Reps	🇩🇪 GERMANY	43	72.1%	0.40
60	Z.Hai	🇵🇰 PAKISTAN	50	72.0%	0.30
61	L.Rizzo	🇦🇷 ARGENTINA	64	71.9%	0.34
62	C.Schwerdt	🇩🇪 GERMANY	39	71.8%	0.28
63	M.Grigoriu	🇷🇴 ROMANIA	39	71.8%	0.36
64	C.Garnier	🇬🇵 GUADELOUPE	46	71.7%	0.43
65	S.Sze	🇭🇰 HONG KONG CHINA	56	71.4%	0.34
66	A.Black	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	38	71.1%	0.34
67	V.Kiljan	🇳🇱 NETHERLANDS	38	71.1%	0.34
68	H.Lin	🇹🇼 CHINESE TAIPEI	38	71.1%	0.34
69	I.Herbst	🇮🇱 ISRAEL	45	71.1%	0.36
70	L.Soudan	🇬🇵 GUADELOUPE	45	71.1%	0.44
71	G.Goded	🇪🇸 SPAIN	37	70.3%	0.35
72	D.Calipetre	🇷🇴 ROMANIA	40	70.0%	0.30
73	L.Meier	🇳🇿 NEW ZEALAND	30	70.0%	0.37
74	J.Chen	🇹🇼 CHINESE TAIPEI	40	70.0%	0.38
75	A.Apteker	🇿🇦 SOUTH AFRICA	40	70.0%	0.42
76	G.Ho	🇭🇰 HONG KONG CHINA	43	69.8%	0.42
77	J.Smith	🇨🇱 CHILE	46	69.6%	0.37
78	W.Chiu	🇭🇰 HONG KONG CHINA	42	69.0%	0.36
79	J.Carroll	🇮🇪 IRELAND	48	68.8%	0.38
80	G.Tislevoll	🇳🇿 NEW ZEALAND	35	68.6%	0.37
81	C.Teodorescu	🇷🇴 ROMANIA	41	68.3%	0.37
82	R.Gomez	🇪🇸 SPAIN	34	67.6%	0.44
83	C.Boland	🇮🇪 IRELAND	34	67.6%	0.47
84	C.Gower	🇿🇦 SOUTH AFRICA	44	65.9%	0.39
85	N.Fitzgibbon	🇮🇪 IRELAND	35	65.7%	0.40
86	M.Fleisher	🇺🇸 U.S.A.	40	65.0%	0.42
87	P.Mathieu	🇬🇵 GUADELOUPE	51	64.7%	0.41
88	M.Ware	🇳🇿 NEW ZEALAND	36	63.9%	0.42
89	J.Upmark	🇸🇪 SWEDEN	44	63.6%	0.39
90	O.Toledano	🇮🇱 ISRAEL	44	63.6%	0.43
91	J.Van Lankveld	🇳🇱 NETHERLANDS	52	63.5%	0.42
92	M.Bascunan	🇨🇱 CHILE	32	62.5%	0.47
93	M.Mcmanus	🇳🇿 NEW ZEALAND	49	61.2%	0.47
94	S.Hult	🇸🇪 SWEDEN	36	61.1%	0.42
95	Y.Hung	🇹🇼 CHINESE TAIPEI	46	60.9%	0.43
96	P.Crouch	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	46	60.9%	0.52
97	F.Picard	🇬🇵 GUADELOUPE	38	60.5%	0.63
98	A.Kizilbash	🇵🇰 PAKISTAN	44	59.1%	0.55
99	I.Syed	🇵🇰 PAKISTAN	39	59.0%	0.51
100	G.Bilal	🇵🇰 PAKISTAN	46	54.3%	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	L.Soudan	🇬🇵 GUADELOUPE	75	96.0%	0.04
2	M.Rimstedt	🇸🇪 SWEDEN	98	94.9%	0.05
3	O.Rimstedt	🇸🇪 SWEDEN	98	94.9%	0.05
4	B.Tarnovski	🇮🇱 ISRAEL	79	93.7%	0.06
5	A.Yekutieli	🇮🇱 ISRAEL	79	93.7%	0.06
6	N.Eber	🇿🇦 SOUTH AFRICA	79	93.7%	0.09
7	H.Fick	🇿🇦 SOUTH AFRICA	79	93.7%	0.09
8	P.Mathieu	🇬🇵 GUADELOUPE	92	93.5%	0.08
9	W.Chiu	🇭🇰 HONG KONG CHINA	77	93.5%	0.08
10	S.Sze	🇭🇰 HONG KONG CHINA	77	93.5%	0.08
11	O.Toledano	🇮🇱 ISRAEL	88	93.2%	0.08
12	A.Zamir	🇮🇱 ISRAEL	88	93.2%	0.08
13	J.Grue	🇺🇸 U.S.A.	89	92.1%	0.09
14	B.Moss	🇺🇸 U.S.A.	89	92.1%	0.09
15	A.Black	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	75	92.0%	0.08
16	D.Gold	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	75	92.0%	0.08
17	J.Smith	🇨🇱 CHILE	86	91.9%	0.08
18	I.Herbst	🇮🇱 ISRAEL	85	91.8%	0.08
19	O.Herbst	🇮🇱 ISRAEL	85	91.8%	0.08
20	G.Hopfenheit	🇩🇪 GERMANY	84	91.7%	0.10
21	S.Reim	🇩🇪 GERMANY	84	91.7%	0.10
22	A.Bianchedi	🇦🇷 ARGENTINA	116	91.4%	0.09
23	A.Madala	🇦🇷 ARGENTINA	116	91.4%	0.09
24	B.Drijver	🇳🇱 NETHERLANDS	78	91.0%	0.09
25	R.Van Prooijen	🇳🇱 NETHERLANDS	78	91.0%	0.09
26	M.Brown	🇳🇿 NEW ZEALAND	111	91.0%	0.12
27	M.Whibley	🇳🇿 NEW ZEALAND	111	91.0%	0.12
28	J.Carroll	🇮🇪 IRELAND	88	90.9%	0.10
29	M.Moran	🇮🇪 IRELAND	88	90.9%	0.10
30	J.Fritsche	🇩🇪 GERMANY	88	90.9%	0.10
31	K.Reps	🇩🇪 GERMANY	88	90.9%	0.10
32	K.Bathurst	🇺🇸 U.S.A.	97	90.7%	0.11
33	J.Hurd	🇺🇸 U.S.A.	97	90.7%	0.11
34	N.Apteker	🇿🇦 SOUTH AFRICA	82	90.2%	0.10
35	R.Stephens	🇿🇦 SOUTH AFRICA	82	90.2%	0.10
36	V.Kiljan	🇳🇱 NETHERLANDS	81	90.1%	0.10
37	B.Nab	🇳🇱 NETHERLANDS	81	90.1%	0.10
38	C.Lucena	🇦🇷 ARGENTINA	80	90.0%	0.12
39	R.Gomez	🇪🇸 SPAIN	85	89.4%	0.15
40	P.Goncalves	🇪🇸 SPAIN	85	89.4%	0.15
41	M.Mcmanus	🇳🇿 NEW ZEALAND	75	89.3%	0.12
42	M.Ware	🇳🇿 NEW ZEALAND	75	89.3%	0.12
43	A.Mcintosh	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	102	89.2%	0.12
44	T.Paske	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	102	89.2%	0.12
45	G.Ho	🇭🇰 HONG KONG CHINA	83	89.2%	0.22
46	W.Ho	🇭🇰 HONG KONG CHINA	83	89.2%	0.22
47	P.Bertheau	🇸🇪 SWEDEN	72	88.9%	0.12
48	S.Hult	🇸🇪 SWEDEN	72	88.9%	0.12
49	F.Goded	🇪🇸 SPAIN	89	88.8%	0.12
50	G.Goded	🇪🇸 SPAIN	89	88.8%	0.12
51	L.Rizzo	🇦🇷 ARGENTINA	138	88.4%	0.13
52	I.Bacalu	🇷🇴 ROMANIA	94	88.3%	0.14
53	I.Coldea	🇷🇴 ROMANIA	94	88.3%	0.14
54	C.Boland	🇮🇪 IRELAND	110	88.2%	0.14
55	T.Hanlon	🇮🇪 IRELAND	110	88.2%	0.14
56	D.Gerin	🇬🇵 GUADELOUPE	93	88.2%	0.14
57	J.Linde	🇩🇪 GERMANY	85	88.2%	0.14
58	C.Schwerdt	🇩🇪 GERMANY	85	88.2%	0.14
59	J.Pelletier	🇬🇵 GUADELOUPE	84	88.1%	0.13
60	J.Robles	🇨🇱 CHILE	103	87.4%	0.14
61	J.Pacareu	🇨🇱 CHILE	137	86.9%	0.16
62	B.Robles	🇨🇱 CHILE	137	86.9%	0.16
63	M.Fleisher	🇺🇸 U.S.A.	67	86.6%	0.15
64	C.Martel	🇺🇸 U.S.A.	67	86.6%	0.15
65	B.Van Den Bos	🇳🇱 NETHERLANDS	81	86.4%	0.15
66	J.Van Lankveld	🇳🇱 NETHERLANDS	81	86.4%	0.15
67	H.Camberos	🇦🇷 ARGENTINA	58	86.2%	0.14
68	C.Ng	🇭🇰 HONG KONG CHINA	86	86.0%	0.15
69	C.Wai	🇭🇰 HONG KONG CHINA	86	86.0%	0.15
70	Y.Hung	🇹🇼 CHINESE TAIPEI	98	85.7%	0.14
71	H.So	🇹🇼 CHINESE TAIPEI	98	85.7%	0.14
72	F.Nystrom	🇸🇪 SWEDEN	87	85.1%	0.16
73	J.Upmark	🇸🇪 SWEDEN	87	85.1%	0.16
74	G.Fractman	🇪🇸 SPAIN	94	85.1%	0.17
75	J.Sabate	🇪🇸 SPAIN	94	85.1%	0.17
76	F.Picard	🇬🇵 GUADELOUPE	77	84.4%	0.17
77	Z.Hai	🇵🇰 PAKISTAN	80	83.8%	0.19
78	A.Kizilbash	🇵🇰 PAKISTAN	80	83.8%	0.19
79	C.Garnier	🇬🇵 GUADELOUPE	85	83.5%	0.18
80	M.Bascunan	🇨🇱 CHILE	47	83.0%	0.19
81	Y.Mohammad	🇵🇰 PAKISTAN	106	83.0%	0.23
82	S.Sarki	🇵🇰 PAKISTAN	106	83.0%	0.23
83	S.Cope	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	78	82.1%	0.23
84	P.Crouch	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	78	82.1%	0.23
85	J.Chen	🇹🇼 CHINESE TAIPEI	81	81.5%	0.20
86	H.Lin	🇹🇼 CHINESE TAIPEI	81	81.5%	0.20
87	N.Fitzgibbon	🇮🇪 IRELAND	75	81.3%	0.21
88	A.Mesbur	🇮🇪 IRELAND	75	81.3%	0.21
89	S.Donciu	🇷🇴 ROMANIA	89	79.8%	0.24
90	M.Grigoriu	🇷🇴 ROMANIA	89	79.8%	0.24
91	C.Hung	🇹🇼 CHINESE TAIPEI	78	78.2%	0.24
92	M.Wu	🇹🇼 CHINESE TAIPEI	78	78.2%	0.24
93	A.Apteker	🇿🇦 SOUTH AFRICA	90	77.8%	0.22
94	C.Gower	🇿🇦 SOUTH AFRICA	90	77.8%	0.22
95	L.Meier	🇳🇿 NEW ZEALAND	63	77.8%	0.32
96	G.Tislevoll	🇳🇿 NEW ZEALAND	63	77.8%	0.32
97	G.Bilal	🇵🇰 PAKISTAN	75	77.3%	0.37
98	I.Syed	🇵🇰 PAKISTAN	75	77.3%	0.37
99	D.Calipetre	🇷🇴 ROMANIA	78	76.9%	0.23
100	C.Teodorescu	🇷🇴 ROMANIA	78	76.9%	0.23

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	J.Carroll	🇮🇪 IRELAND	176	-0.17	+0.94	+0.77	·
2	M.Moran	🇮🇪 IRELAND	176	-0.17	+0.94	+0.77	·
3	I.Bacalu	🇷🇴 ROMANIA	176	+0.00	+0.69	+0.69	▲6
4	I.Coldea	🇷🇴 ROMANIA	176	+0.00	+0.69	+0.69	▲6
5	A.Bianchedi	🇦🇷 ARGENTINA	256	-0.10	+0.71	+0.61	▲2
6	A.Madala	🇦🇷 ARGENTINA	256	-0.10	+0.71	+0.61	▲2
7	M.Fleisher	🇺🇸 U.S.A.	144	-0.11	+0.72	+0.61	▼2
8	C.Martel	🇺🇸 U.S.A.	144	-0.11	+0.72	+0.61	▼2
9	J.Grue	🇺🇸 U.S.A.	192	-0.16	+0.74	+0.58	▼6
10	B.Moss	🇺🇸 U.S.A.	192	-0.16	+0.74	+0.58	▼6
11	M.Rimstedt	🇸🇪 SWEDEN	192	-0.09	+0.66	+0.57	▲4
12	O.Rimstedt	🇸🇪 SWEDEN	192	-0.09	+0.66	+0.57	▲4
13	B.Tarnovski	🇮🇱 ISRAEL	160	-0.13	+0.68	+0.55	▼2
14	A.Yekutieli	🇮🇱 ISRAEL	160	-0.13	+0.68	+0.55	▼2
15	O.Toledano	🇮🇱 ISRAEL	176	+0.07	+0.46	+0.53	▲6
16	A.Zamir	🇮🇱 ISRAEL	176	+0.07	+0.46	+0.53	▲6
17	K.Bathurst	🇺🇸 U.S.A.	176	+0.08	+0.44	+0.52	▲6
18	J.Hurd	🇺🇸 U.S.A.	176	+0.08	+0.44	+0.52	▲6
19	J.Linde	🇩🇪 GERMANY	160	+0.17	+0.31	+0.47	▲14
20	C.Schwerdt	🇩🇪 GERMANY	160	+0.17	+0.31	+0.47	▲14
21	F.Nystrom	🇸🇪 SWEDEN	176	+0.06	+0.35	+0.41	▲6
22	J.Upmark	🇸🇪 SWEDEN	176	+0.06	+0.35	+0.41	▲6
23	A.Black	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	144	-0.27	+0.68	+0.41	▼10
24	D.Gold	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	144	-0.27	+0.68	+0.41	▼10
25	B.Drijver	🇳🇱 NETHERLANDS	176	-0.11	+0.49	+0.38	▼6
26	R.Van Prooijen	🇳🇱 NETHERLANDS	176	-0.11	+0.49	+0.38	▼6
27	H.Camberos	🇦🇷 ARGENTINA	112	+0.17	+0.17	+0.34	▲11
28	P.Bertheau	🇸🇪 SWEDEN	144	-0.24	+0.55	+0.32	▼11
29	S.Hult	🇸🇪 SWEDEN	144	-0.24	+0.55	+0.32	▼11
30	N.Apteker	🇿🇦 SOUTH AFRICA	176	-0.05	+0.32	+0.27	▲1
31	R.Stephens	🇿🇦 SOUTH AFRICA	176	-0.05	+0.32	+0.27	▲1
32	J.Fritsche	🇩🇪 GERMANY	192	-0.17	+0.44	+0.27	▼7
33	K.Reps	🇩🇪 GERMANY	192	-0.17	+0.44	+0.27	▼7
34	J.Robles	🇨🇱 CHILE	224	+0.15	+0.07	+0.22	▲8
35	B.Van Den Bos	🇳🇱 NETHERLANDS	176	-0.04	+0.25	+0.21	·
36	J.Van Lankveld	🇳🇱 NETHERLANDS	176	-0.04	+0.25	+0.21	·
37	I.Herbst	🇮🇱 ISRAEL	176	-0.14	+0.34	+0.20	▼8
38	O.Herbst	🇮🇱 ISRAEL	176	-0.14	+0.34	+0.20	▼8
39	L.Rizzo	🇦🇷 ARGENTINA	256	+0.02	+0.10	+0.12	▲2
40	M.Bascunan	🇨🇱 CHILE	112	-0.17	+0.18	+0.02	▼3
41	G.Hopfenheit	🇩🇪 GERMANY	160	+0.07	-0.06	+0.01	▲14
42	S.Reim	🇩🇪 GERMANY	160	+0.07	-0.06	+0.01	▲14
43	Y.Hung	🇹🇼 CHINESE TAIPEI	208	+0.06	-0.05	+0.01	▲9
44	H.So	🇹🇼 CHINESE TAIPEI	208	+0.06	-0.05	+0.01	▲9
45	J.Pacareu	🇨🇱 CHILE	256	+0.00	-0.00	+0.00	▲5
46	B.Robles	🇨🇱 CHILE	256	+0.00	-0.00	+0.00	▲5
47	M.Mcmanus	🇳🇿 NEW ZEALAND	160	+0.10	-0.12	-0.03	▲13
48	M.Ware	🇳🇿 NEW ZEALAND	160	+0.10	-0.12	-0.03	▲13
49	M.Brown	🇳🇿 NEW ZEALAND	224	-0.14	+0.11	-0.03	▼10
50	M.Whibley	🇳🇿 NEW ZEALAND	224	-0.14	+0.11	-0.03	▼10
51	V.Kiljan	🇳🇱 NETHERLANDS	160	-0.07	+0.03	-0.05	▼5
52	B.Nab	🇳🇱 NETHERLANDS	160	-0.07	+0.03	-0.05	▼5
53	N.Eber	🇿🇦 SOUTH AFRICA	160	-0.11	+0.06	-0.05	▼10
54	H.Fick	🇿🇦 SOUTH AFRICA	160	-0.11	+0.06	-0.05	▼10
55	J.Smith	🇨🇱 CHILE	176	+0.01	-0.06	-0.05	▼1
56	C.Lucena	🇦🇷 ARGENTINA	144	-0.10	+0.04	-0.05	▼11
57	G.Ho	🇭🇰 HONG KONG CHINA	176	+0.12	-0.17	-0.06	▲6
58	W.Ho	🇭🇰 HONG KONG CHINA	176	+0.12	-0.17	-0.06	▲6
59	P.Mathieu	🇬🇵 GUADELOUPE	192	+0.02	-0.10	-0.07	·
60	C.Boland	🇮🇪 IRELAND	192	+0.11	-0.22	-0.10	▲7
61	T.Hanlon	🇮🇪 IRELAND	192	+0.11	-0.22	-0.10	▲7
62	J.Chen	🇹🇼 CHINESE TAIPEI	160	-0.12	+0.01	-0.11	▼14
63	H.Lin	🇹🇼 CHINESE TAIPEI	160	-0.12	+0.01	-0.11	▼14
64	N.Fitzgibbon	🇮🇪 IRELAND	144	-0.10	-0.09	-0.19	▼7
65	A.Mesbur	🇮🇪 IRELAND	144	-0.10	-0.09	-0.19	▼7
66	G.Fractman	🇪🇸 SPAIN	176	+0.14	-0.34	-0.20	▲7
67	J.Sabate	🇪🇸 SPAIN	176	+0.14	-0.34	-0.20	▲7
68	R.Gomez	🇪🇸 SPAIN	160	+0.04	-0.26	-0.22	▲1
69	P.Goncalves	🇪🇸 SPAIN	160	+0.04	-0.26	-0.22	▲1
70	C.Hung	🇹🇼 CHINESE TAIPEI	144	+0.23	-0.46	-0.23	▲13
71	M.Wu	🇹🇼 CHINESE TAIPEI	144	+0.23	-0.46	-0.23	▲13
72	F.Goded	🇪🇸 SPAIN	176	+0.10	-0.36	-0.25	▲3
73	G.Goded	🇪🇸 SPAIN	176	+0.10	-0.36	-0.25	▲3
74	L.Soudan	🇬🇵 GUADELOUPE	160	-0.11	-0.17	-0.28	▼12
75	S.Donciu	🇷🇴 ROMANIA	176	-0.10	-0.18	-0.28	▼10
76	M.Grigoriu	🇷🇴 ROMANIA	176	-0.10	-0.18	-0.28	▼10
77	A.Mcintosh	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	208	+0.10	-0.45	-0.35	▲2
78	T.Paske	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	208	+0.10	-0.45	-0.35	▲2
79	A.Apteker	🇿🇦 SOUTH AFRICA	176	+0.27	-0.64	-0.37	▲6
80	C.Gower	🇿🇦 SOUTH AFRICA	176	+0.27	-0.64	-0.37	▲6
81	D.Calipetre	🇷🇴 ROMANIA	160	-0.11	-0.27	-0.38	▼10
82	C.Teodorescu	🇷🇴 ROMANIA	160	-0.11	-0.27	-0.38	▼10
83	L.Meier	🇳🇿 NEW ZEALAND	128	-0.00	-0.39	-0.39	▼6
84	G.Tislevoll	🇳🇿 NEW ZEALAND	128	-0.00	-0.39	-0.39	▼6
85	C.Ng	🇭🇰 HONG KONG CHINA	160	+0.01	-0.45	-0.45	▼4
86	C.Wai	🇭🇰 HONG KONG CHINA	160	+0.01	-0.45	-0.45	▼4
87	S.Cope	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	160	+0.16	-0.65	-0.49	·
88	P.Crouch	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	160	+0.16	-0.65	-0.49	·
89	W.Chiu	🇭🇰 HONG KONG CHINA	176	+0.10	-0.75	-0.65	·
90	S.Sze	🇭🇰 HONG KONG CHINA	176	+0.10	-0.75	-0.65	·
91	G.Bilal	🇵🇰 PAKISTAN	160	+0.17	-0.86	-0.69	▲1
92	I.Syed	🇵🇰 PAKISTAN	160	+0.17	-0.86	-0.69	▲1
93	C.Garnier	🇬🇵 GUADELOUPE	176	+0.16	-0.86	-0.70	▲1
94	D.Gerin	🇬🇵 GUADELOUPE	176	+0.00	-0.80	-0.80	▼3
95	Z.Hai	🇵🇰 PAKISTAN	176	+0.18	-1.06	-0.88	▲4
96	A.Kizilbash	🇵🇰 PAKISTAN	176	+0.18	-1.06	-0.88	▲4
97	F.Picard	🇬🇵 GUADELOUPE	160	+0.08	-0.99	-0.90	▲1
98	Y.Mohammad	🇵🇰 PAKISTAN	176	+0.05	-0.96	-0.91	▼2
99	S.Sarki	🇵🇰 PAKISTAN	176	+0.05	-0.96	-0.91	▼2
100	J.Pelletier	🇬🇵 GUADELOUPE	160	-0.04	-0.88	-0.93	▼5

Statistics