Veldhoven 2023 — 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	L.Ciborowska	🇵🇱 POLAND	154	+1.31	+201.0
2	K.Ciborowski	🇵🇱 POLAND	154	+1.31	+201.0
3	Y.Inamura	🇯🇵 JAPAN	140	+1.18	+165.0
4	Y.Miura	🇯🇵 JAPAN	140	+1.18	+165.0
5	M.Haas	🇺🇸 USA2	154	+1.07	+165.0
6	S.Pahk	🇺🇸 USA2	154	+1.07	+165.0
7	O.Sabbah	🇮🇱 ISRAEL	210	+1.00	+211.0
8	Y.Sliwowicz	🇮🇱 ISRAEL	210	+1.00	+211.0
9	O.Manzur	🇮🇱 ISRAEL	126	+0.99	+125.0
10	S.Zur	🇮🇱 ISRAEL	126	+0.99	+125.0
11	K.Dezso	🇭🇺 HUNGARY	154	+0.92	+142.0
12	B.Zabradi	🇭🇺 HUNGARY	154	+0.92	+142.0
13	C.Lahrmann	🇩🇰 DENMARK	252	+0.90	+227.0
14	T.Furness	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	182	+0.87	+159.0
15	H.Rose	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	182	+0.87	+159.0
16	D.Tylvad	🇩🇰 DENMARK	238	+0.82	+195.0
17	H.Ma	🇨🇳 CHINA	196	+0.80	+157.0
18	Z.Wang	🇨🇳 CHINA	196	+0.80	+157.0
19	LUKE - PAREDI Jack	🇦🇺 AUSTRALIA	224	+0.78	+175.0
20	C.Johnsen	🇳🇴 NORWAY	182	+0.75	+136.0
21	T.Toesse	🇳🇴 NORWAY	182	+0.75	+136.0
22	R.Bloch	🇫🇷 FRANCE	252	+0.72	+181.0
23	E.Vallet	🇫🇷 FRANCE	252	+0.72	+181.0
24	R.Quennell	🇳🇿 NEW ZEALAND	154	+0.68	+105.0
25	G.Bartley	🇦🇺 AUSTRALIA	210	+0.64	+135.0
26	K.Kuflowski	🇵🇱 POLAND	224	+0.60	+135.0
27	W.Okrzesik	🇵🇱 POLAND	224	+0.60	+135.0
28	X.Friesen	🇳🇱 NETHERLANDS	266	+0.58	+153.0
29	R.Goor	🇳🇱 NETHERLANDS	266	+0.58	+153.0
30	O.Schireson	🇺🇸 USA1	196	+0.57	+111.0
31	M.Xu	🇺🇸 USA1	196	+0.57	+111.0
32	A.Cope	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	182	+0.54	+98.0
33	T.Gardner	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	182	+0.54	+98.0
34	Y.Niu	🇨🇳 CHINA	182	+0.42	+77.0
35	Z.Wang	🇨🇳 CHINA	182	+0.42	+77.0
36	L.Meier	🇳🇿 NEW ZEALAND	266	+0.40	+107.0
37	J.Xiong	🇨🇦 CANADA	168	+0.40	+67.0
38	K.Yang	🇨🇦 CANADA	168	+0.40	+67.0
39	R.Xiao	🇺🇸 USA2	182	+0.37	+68.0
40	J.Yue	🇺🇸 USA2	182	+0.37	+68.0
41	J.Chiang	🇭🇰 HONG KONG CHINA	224	+0.37	+83.0
42	D.Ko	🇭🇰 HONG KONG CHINA	224	+0.37	+83.0
43	M.Hu	🇺🇸 USA2	196	+0.37	+72.0
44	A.Zhou	🇺🇸 USA2	196	+0.37	+72.0
45	J.Essink	🇳🇱 NETHERLANDS	126	+0.36	+45.0
46	G.Friesen	🇳🇱 NETHERLANDS	126	+0.36	+45.0
47	N.Hammelev	🇩🇰 DENMARK	140	+0.34	+48.0
48	M.Janosik	🇭🇺 HUNGARY	126	+0.25	+32.0
49	J.Marki-Zay	🇭🇺 HUNGARY	126	+0.25	+32.0
50	H.Luba	🇺🇸 USA1	238	+0.25	+59.0
51	B.Zhu	🇺🇸 USA1	238	+0.25	+59.0
52	A.Tylvad	🇩🇰 DENMARK	140	+0.24	+34.0
53	A.Gallard	🇫🇷 FRANCE	252	+0.23	+58.0
54	L.Rombaut	🇫🇷 FRANCE	252	+0.23	+58.0
55	W.Bak	🇵🇱 POLAND	154	+0.16	+24.0
56	F.Kurlit	🇵🇱 POLAND	154	+0.16	+24.0
57	G.Morgan	🇦🇺 AUSTRALIA	224	+0.12	+26.0
58	L.Topper	🇦🇺 AUSTRALIA	182	+0.08	+14.0
59	A.Goss	🇦🇺 AUSTRALIA	224	+0.06	+14.0
60	A.Brogeland	🇳🇴 NORWAY	182	+0.04	+8.0
61	M.Saetre	🇳🇴 NORWAY	182	+0.04	+8.0
62	A.Rolf-Larsen	🇩🇰 DENMARK	154	+0.03	+5.0
63	M.Goor	🇳🇱 NETHERLANDS	140	+0.03	+4.0
64	W.Klarenbeek	🇳🇱 NETHERLANDS	140	+0.03	+4.0
65	Y.Inoue	🇯🇵 JAPAN	238	-0.03	-6.0
66	K.Takizawa	🇯🇵 JAPAN	238	-0.03	-6.0
67	I.Moskovitz	🇮🇱 ISRAEL	196	-0.03	-5.0
68	D.Msika	🇮🇱 ISRAEL	196	-0.03	-5.0
69	N.Zeeberg	🇩🇰 DENMARK	140	-0.09	-13.0
70	H.Cai	🇨🇳 CHINA	154	-0.12	-18.0
71	J.Chen	🇨🇳 CHINA	154	-0.12	-18.0
72	J.Pinto	🇮🇳 INDIA	154	-0.20	-31.0
73	K.Hasegawa	🇯🇵 JAPAN	154	-0.24	-37.0
74	T.Inami	🇯🇵 JAPAN	154	-0.24	-37.0
75	T.Chowdhury	🇮🇳 INDIA	224	-0.27	-60.0
76	K.Kung	🇭🇰 HONG KONG CHINA	112	-0.29	-33.0
77	T.Yip	🇭🇰 HONG KONG CHINA	112	-0.29	-33.0
78	R.Arend	🇩🇪 GERMANY	182	-0.34	-61.0
79	Z.Cheng	🇨🇦 CANADA	154	-0.40	-61.0
80	C.He	🇨🇦 CANADA	154	-0.40	-61.0
81	Z.Argay	🇭🇺 HUNGARY	252	-0.48	-121.0
82	M.Kemeny	🇭🇺 HUNGARY	252	-0.48	-121.0
83	PRAJJWAL -	🇮🇳 INDIA	210	-0.50	-104.0
84	B.Doerdelmann	🇩🇪 GERMANY	196	-0.53	-104.0
85	R.Song	🇳🇿 NEW ZEALAND	252	-0.54	-135.0
86	Z.Yan	🇳🇿 NEW ZEALAND	252	-0.58	-146.0
87	A.Seto	🇭🇰 HONG KONG CHINA	196	-0.62	-122.0
88	L.To	🇭🇰 HONG KONG CHINA	196	-0.62	-122.0
89	J.Fegarty	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	168	-0.63	-106.0
90	L.Fegarty	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	168	-0.63	-106.0
91	K.Chheda	🇮🇳 INDIA	210	-0.63	-133.0
92	Q.Chen	🇨🇦 CANADA	210	-0.68	-143.0
93	G.Liu	🇨🇦 CANADA	210	-0.68	-143.0
94	A.Dravitzki	🇳🇿 NEW ZEALAND	140	-0.71	-99.0
95	V.Nandu	🇮🇳 INDIA	182	-0.78	-142.0
96	Y.Pong	🇸🇬 SINGAPORE	196	-0.97	-191.0
97	Y.Goh	🇸🇬 SINGAPORE	182	-0.98	-178.0
98	E.Langer	🇩🇪 GERMANY	196	-1.02	-200.0
99	M.Austad	🇳🇴 NORWAY	168	-1.03	-173.0
100	N.Heiberg-Evenstad	🇳🇴 NORWAY	168	-1.03	-173.0
101	L.Oh	🇸🇬 SINGAPORE	224	-1.07	-239.0
102	R.Siew	🇸🇬 SINGAPORE	238	-1.07	-254.0
103	A.Armstrong	🇮🇪 IRELAND	210	-1.24	-261.0
104	B.Koerner	🇩🇪 GERMANY	196	-1.24	-244.0
105	C.Baumgart	🇩🇪 GERMANY	140	-1.49	-209.0
106	J.Tioh	🇸🇬 SINGAPORE	224	-1.54	-346.0
107	K.Flanagan	🇮🇪 IRELAND	210	-1.66	-349.0
108	D.Hoyne	🇮🇪 IRELAND	210	-1.70	-358.0
109	P.Kingston	🇮🇪 IRELAND	224	-1.77	-397.0
110	S.Ridou	🇩🇪 GERMANY	154	-1.92	-296.0
111	E.Connell	🇮🇪 IRELAND	210	-2.20	-463.0
112	C.Bens	🇫🇷 FRANCE	28	+1.07	+30.0
113	A.Libbrecht	🇫🇷 FRANCE	28	+1.07	+30.0
114	A.Gong	🇺🇸 USA1	98	+0.51	+50.0
115	N.Gong	🇺🇸 USA1	98	+0.51	+50.0
116	VIGNESHWARAN .	🇮🇳 INDIA	84	-0.64	-54.0

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	O.Manzur	🇮🇱 ISRAEL	33	93.9%	0.06
2	M.Xu	🇺🇸 USA1	34	91.2%	0.12
3	T.Yip	🇭🇰 HONG KONG CHINA	22	90.9%	0.09
4	H.Ma	🇨🇳 CHINA	43	90.7%	0.09
5	F.Kurlit	🇵🇱 POLAND	38	89.5%	0.10
6	O.Schireson	🇺🇸 USA1	58	87.9%	0.12
7	J.Essink	🇳🇱 NETHERLANDS	33	87.9%	0.12
8	PRAJJWAL -	🇮🇳 INDIA	49	87.8%	0.14
9	Y.Niu	🇨🇳 CHINA	48	87.5%	0.23
10	J.Xiong	🇨🇦 CANADA	38	86.8%	0.18
11	Y.Inamura	🇯🇵 JAPAN	45	86.7%	0.16
12	S.Zur	🇮🇱 ISRAEL	36	86.1%	0.19
13	Y.Inoue	🇯🇵 JAPAN	57	86.0%	0.16
14	L.To	🇭🇰 HONG KONG CHINA	49	85.7%	0.14
15	D.Tylvad	🇩🇰 DENMARK	55	85.5%	0.16
16	R.Xiao	🇺🇸 USA2	34	85.3%	0.21
17	R.Goor	🇳🇱 NETHERLANDS	58	84.5%	0.17
18	T.Gardner	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	51	84.3%	0.16
19	M.Janosik	🇭🇺 HUNGARY	38	84.2%	0.18
20	J.Fegarty	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	31	83.9%	0.23
21	A.Goss	🇦🇺 AUSTRALIA	49	83.7%	0.18
22	L.Ciborowska	🇵🇱 POLAND	43	83.7%	0.28
23	B.Zhu	🇺🇸 USA1	48	83.3%	0.17
24	J.Marki-Zay	🇭🇺 HUNGARY	30	83.3%	0.20
25	J.Chen	🇨🇳 CHINA	29	82.8%	0.21
26	H.Luba	🇺🇸 USA1	63	82.5%	0.21
27	W.Bak	🇵🇱 POLAND	34	82.4%	0.18
28	K.Kuflowski	🇵🇱 POLAND	51	82.4%	0.23
29	M.Haas	🇺🇸 USA2	34	82.4%	0.27
30	LUKE - PAREDI Jack	🇦🇺 AUSTRALIA	56	82.1%	0.20
31	M.Kemeny	🇭🇺 HUNGARY	61	82.0%	0.21
32	L.Rombaut	🇫🇷 FRANCE	66	81.8%	0.18
33	K.Chheda	🇮🇳 INDIA	55	81.8%	0.18
34	R.Quennell	🇳🇿 NEW ZEALAND	44	81.8%	0.23
35	C.Johnsen	🇳🇴 NORWAY	49	81.6%	0.20
36	A.Dravitzki	🇳🇿 NEW ZEALAND	27	81.5%	0.18
37	Y.Goh	🇸🇬 SINGAPORE	59	81.4%	0.19
38	L.Topper	🇦🇺 AUSTRALIA	42	81.0%	0.24
39	M.Saetre	🇳🇴 NORWAY	41	80.5%	0.39
40	A.Armstrong	🇮🇪 IRELAND	61	80.3%	0.26
41	K.Hasegawa	🇯🇵 JAPAN	45	80.0%	0.20
42	C.He	🇨🇦 CANADA	40	80.0%	0.20
43	D.Msika	🇮🇱 ISRAEL	40	80.0%	0.23
44	Z.Cheng	🇨🇦 CANADA	40	80.0%	0.23
45	E.Vallet	🇫🇷 FRANCE	65	80.0%	0.25
46	M.Hu	🇺🇸 USA2	60	80.0%	0.25
47	Z.Yan	🇳🇿 NEW ZEALAND	59	79.7%	0.22
48	O.Sabbah	🇮🇱 ISRAEL	54	79.6%	0.26
49	K.Takizawa	🇯🇵 JAPAN	68	79.4%	0.28
50	M.Goor	🇳🇱 NETHERLANDS	43	79.1%	0.23
51	Z.Wang	🇨🇳 CHINA	38	78.9%	0.24
52	S.Ridou	🇩🇪 GERMANY	33	78.8%	0.21
53	E.Connell	🇮🇪 IRELAND	66	78.8%	0.23
54	Y.Pong	🇸🇬 SINGAPORE	42	78.6%	0.26
55	K.Yang	🇨🇦 CANADA	42	78.6%	0.29
56	S.Pahk	🇺🇸 USA2	51	78.4%	0.28
57	J.Yue	🇺🇸 USA2	55	78.2%	0.26
58	B.Zabradi	🇭🇺 HUNGARY	41	78.0%	0.24
59	J.Chiang	🇭🇰 HONG KONG CHINA	63	77.8%	0.22
60	Y.Sliwowicz	🇮🇱 ISRAEL	54	77.8%	0.24
61	A.Gallard	🇫🇷 FRANCE	54	77.8%	0.26
62	K.Ciborowski	🇵🇱 POLAND	40	77.5%	0.23
63	T.Furness	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	44	77.3%	0.27
64	I.Moskovitz	🇮🇱 ISRAEL	48	77.1%	0.23
65	L.Oh	🇸🇬 SINGAPORE	61	77.0%	0.25
66	V.Nandu	🇮🇳 INDIA	39	76.9%	0.23
67	P.Kingston	🇮🇪 IRELAND	39	76.9%	0.26
68	Y.Miura	🇯🇵 JAPAN	39	76.9%	0.28
69	X.Friesen	🇳🇱 NETHERLANDS	56	76.8%	0.27
70	N.Hammelev	🇩🇰 DENMARK	30	76.7%	0.27
71	J.Pinto	🇮🇳 INDIA	43	76.7%	0.28
72	E.Langer	🇩🇪 GERMANY	43	76.7%	0.35
73	D.Ko	🇭🇰 HONG KONG CHINA	47	76.6%	0.30
74	R.Siew	🇸🇬 SINGAPORE	59	76.3%	0.29
75	A.Cope	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	46	76.1%	0.24
76	Z.Wang	🇨🇳 CHINA	50	76.0%	0.28
77	W.Okrzesik	🇵🇱 POLAND	65	75.4%	0.29
78	K.Dezso	🇭🇺 HUNGARY	40	75.0%	0.25
79	B.Doerdelmann	🇩🇪 GERMANY	52	75.0%	0.27
80	Q.Chen	🇨🇦 CANADA	36	75.0%	0.28
81	K.Flanagan	🇮🇪 IRELAND	67	74.6%	0.30
82	A.Brogeland	🇳🇴 NORWAY	47	74.5%	0.30
83	A.Rolf-Larsen	🇩🇰 DENMARK	39	74.4%	0.39
84	Z.Argay	🇭🇺 HUNGARY	58	74.1%	0.29
85	B.Koerner	🇩🇪 GERMANY	42	73.8%	0.31
86	N.Zeeberg	🇩🇰 DENMARK	41	73.2%	0.29
87	T.Toesse	🇳🇴 NORWAY	52	73.1%	0.31
88	W.Klarenbeek	🇳🇱 NETHERLANDS	26	73.1%	0.35
89	H.Rose	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	44	72.7%	0.27
90	A.Zhou	🇺🇸 USA2	44	72.7%	0.27
91	A.Seto	🇭🇰 HONG KONG CHINA	44	72.7%	0.34
92	T.Chowdhury	🇮🇳 INDIA	58	72.4%	0.38
93	L.Fegarty	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	43	72.1%	0.30
94	H.Cai	🇨🇳 CHINA	43	72.1%	0.30
95	R.Song	🇳🇿 NEW ZEALAND	68	72.1%	0.38
96	K.Kung	🇭🇰 HONG KONG CHINA	28	71.4%	0.39
97	C.Baumgart	🇩🇪 GERMANY	45	71.1%	0.29
98	T.Inami	🇯🇵 JAPAN	38	71.1%	0.37
99	A.Tylvad	🇩🇰 DENMARK	31	71.0%	0.29
100	D.Hoyne	🇮🇪 IRELAND	69	71.0%	0.35
101	L.Meier	🇳🇿 NEW ZEALAND	68	70.6%	0.31
102	J.Tioh	🇸🇬 SINGAPORE	61	70.5%	0.36
103	N.Heiberg-Evenstad	🇳🇴 NORWAY	33	69.7%	0.33
104	M.Austad	🇳🇴 NORWAY	53	67.9%	0.40
105	R.Bloch	🇫🇷 FRANCE	59	67.8%	0.37
106	R.Arend	🇩🇪 GERMANY	51	66.7%	0.35
107	G.Morgan	🇦🇺 AUSTRALIA	60	66.7%	0.45
108	G.Bartley	🇦🇺 AUSTRALIA	50	66.0%	0.46
109	G.Liu	🇨🇦 CANADA	49	65.3%	0.41
110	G.Friesen	🇳🇱 NETHERLANDS	34	64.7%	0.44
111	C.Lahrmann	🇩🇰 DENMARK	48	64.6%	0.42
112	C.Bens	🇫🇷 FRANCE	9	88.9%	0.11
113	A.Libbrecht	🇫🇷 FRANCE	9	88.9%	0.11
114	N.Gong	🇺🇸 USA1	24	79.2%	0.25
115	VIGNESHWARAN .	🇮🇳 INDIA	17	76.5%	0.23
116	A.Gong	🇺🇸 USA1	30	73.3%	0.30

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	O.Manzur	🇮🇱 ISRAEL	28	92.9%	0.07
2	M.Haas	🇺🇸 USA2	32	87.5%	0.16
3	N.Hammelev	🇩🇰 DENMARK	38	86.8%	0.16
4	S.Pahk	🇺🇸 USA2	37	86.5%	0.19
5	E.Vallet	🇫🇷 FRANCE	57	86.0%	0.19
6	H.Cai	🇨🇳 CHINA	32	84.4%	0.16
7	K.Dezso	🇭🇺 HUNGARY	32	84.4%	0.25
8	O.Sabbah	🇮🇱 ISRAEL	51	84.3%	0.18
9	Y.Miura	🇯🇵 JAPAN	31	83.9%	0.16
10	L.Ciborowska	🇵🇱 POLAND	31	83.9%	0.23
11	L.Rombaut	🇫🇷 FRANCE	72	83.3%	0.25
12	F.Kurlit	🇵🇱 POLAND	47	83.0%	0.21
13	W.Bak	🇵🇱 POLAND	35	82.9%	0.17
14	B.Zabradi	🇭🇺 HUNGARY	41	82.9%	0.17
15	A.Cope	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	52	82.7%	0.23
16	Y.Sliwowicz	🇮🇱 ISRAEL	51	82.4%	0.20
17	H.Luba	🇺🇸 USA1	73	82.2%	0.20
18	K.Ciborowski	🇵🇱 POLAND	39	82.1%	0.23
19	M.Hu	🇺🇸 USA2	33	81.8%	0.18
20	X.Friesen	🇳🇱 NETHERLANDS	65	81.5%	0.20
21	J.Yue	🇺🇸 USA2	43	81.4%	0.23
22	L.Meier	🇳🇿 NEW ZEALAND	85	81.2%	0.23
23	Y.Inoue	🇯🇵 JAPAN	53	81.1%	0.21
24	H.Ma	🇨🇳 CHINA	47	80.9%	0.23
25	T.Chowdhury	🇮🇳 INDIA	61	80.3%	0.26
26	A.Brogeland	🇳🇴 NORWAY	50	80.0%	0.20
27	J.Chen	🇨🇳 CHINA	50	80.0%	0.22
28	J.Xiong	🇨🇦 CANADA	35	80.0%	0.26
29	B.Zhu	🇺🇸 USA1	54	79.6%	0.20
30	A.Rolf-Larsen	🇩🇰 DENMARK	39	79.5%	0.26
31	R.Bloch	🇫🇷 FRANCE	70	78.6%	0.27
32	O.Schireson	🇺🇸 USA1	51	78.4%	0.23
33	Z.Argay	🇭🇺 HUNGARY	60	78.3%	0.25
34	K.Kuflowski	🇵🇱 POLAND	60	78.3%	0.27
35	R.Goor	🇳🇱 NETHERLANDS	87	78.2%	0.30
36	T.Inami	🇯🇵 JAPAN	41	78.0%	0.34
37	T.Furness	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	45	77.8%	0.27
38	Z.Wang	🇨🇳 CHINA	56	76.8%	0.34
39	T.Toesse	🇳🇴 NORWAY	38	76.3%	0.29
40	H.Rose	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	46	76.1%	0.33
41	Z.Yan	🇳🇿 NEW ZEALAND	50	76.0%	0.32
42	J.Marki-Zay	🇭🇺 HUNGARY	33	75.8%	0.30
43	Q.Chen	🇨🇦 CANADA	70	75.7%	0.36
44	M.Xu	🇺🇸 USA1	53	75.5%	0.30
45	R.Xiao	🇺🇸 USA2	49	75.5%	0.33
46	A.Goss	🇦🇺 AUSTRALIA	57	75.4%	0.33
47	Y.Niu	🇨🇳 CHINA	52	75.0%	0.27
48	D.Ko	🇭🇰 HONG KONG CHINA	64	75.0%	0.31
49	D.Tylvad	🇩🇰 DENMARK	64	75.0%	0.33
50	M.Saetre	🇳🇴 NORWAY	44	75.0%	0.34
51	A.Zhou	🇺🇸 USA2	59	74.6%	0.27
52	K.Takizawa	🇯🇵 JAPAN	59	74.6%	0.29
53	B.Koerner	🇩🇪 GERMANY	59	74.6%	0.34
54	N.Zeeberg	🇩🇰 DENMARK	27	74.1%	0.30
55	C.Lahrmann	🇩🇰 DENMARK	77	74.0%	0.30
56	A.Tylvad	🇩🇰 DENMARK	42	73.8%	0.31
57	W.Klarenbeek	🇳🇱 NETHERLANDS	42	73.8%	0.31
58	PRAJJWAL -	🇮🇳 INDIA	72	73.6%	0.29
59	J.Chiang	🇭🇰 HONG KONG CHINA	49	73.5%	0.29
60	G.Friesen	🇳🇱 NETHERLANDS	34	73.5%	0.35
61	B.Doerdelmann	🇩🇪 GERMANY	45	73.3%	0.38
62	G.Bartley	🇦🇺 AUSTRALIA	66	72.7%	0.33
63	Z.Wang	🇨🇳 CHINA	44	72.7%	0.34
64	Y.Pong	🇸🇬 SINGAPORE	51	72.5%	0.31
65	L.Topper	🇦🇺 AUSTRALIA	43	72.1%	0.37
66	L.Fegarty	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	50	72.0%	0.32
67	R.Song	🇳🇿 NEW ZEALAND	75	72.0%	0.32
68	T.Yip	🇭🇰 HONG KONG CHINA	32	71.9%	0.38
69	A.Gallard	🇫🇷 FRANCE	57	71.9%	0.39
70	N.Heiberg-Evenstad	🇳🇴 NORWAY	46	71.7%	0.33
71	P.Kingston	🇮🇪 IRELAND	46	71.7%	0.41
72	D.Msika	🇮🇱 ISRAEL	56	71.4%	0.39
73	Y.Goh	🇸🇬 SINGAPORE	38	71.1%	0.53
74	K.Yang	🇨🇦 CANADA	53	69.8%	0.32
75	L.To	🇭🇰 HONG KONG CHINA	53	69.8%	0.40
76	LUKE - PAREDI Jack	🇦🇺 AUSTRALIA	46	69.6%	0.39
77	I.Moskovitz	🇮🇱 ISRAEL	52	69.2%	0.35
78	G.Liu	🇨🇦 CANADA	55	69.1%	0.47
79	M.Kemeny	🇭🇺 HUNGARY	71	69.0%	0.37
80	K.Kung	🇭🇰 HONG KONG CHINA	29	69.0%	0.38
81	M.Goor	🇳🇱 NETHERLANDS	29	69.0%	0.45
82	K.Chheda	🇮🇳 INDIA	57	68.4%	0.37
83	R.Arend	🇩🇪 GERMANY	41	68.3%	0.37
84	R.Quennell	🇳🇿 NEW ZEALAND	25	68.0%	0.44
85	C.Baumgart	🇩🇪 GERMANY	42	66.7%	0.36
86	M.Austad	🇳🇴 NORWAY	36	66.7%	0.36
87	J.Essink	🇳🇱 NETHERLANDS	24	66.7%	0.42
88	V.Nandu	🇮🇳 INDIA	42	66.7%	0.48
89	G.Morgan	🇦🇺 AUSTRALIA	62	66.1%	0.39
90	Z.Cheng	🇨🇦 CANADA	47	66.0%	0.49
91	C.Johnsen	🇳🇴 NORWAY	41	65.9%	0.44
92	R.Siew	🇸🇬 SINGAPORE	54	64.8%	0.50
93	W.Okrzesik	🇵🇱 POLAND	48	64.6%	0.44
94	Y.Inamura	🇯🇵 JAPAN	25	64.0%	0.40
95	M.Janosik	🇭🇺 HUNGARY	25	64.0%	0.40
96	A.Seto	🇭🇰 HONG KONG CHINA	50	64.0%	0.48
97	J.Fegarty	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	44	63.6%	0.50
98	K.Hasegawa	🇯🇵 JAPAN	29	62.1%	0.45
99	T.Gardner	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	33	60.6%	0.46
100	S.Zur	🇮🇱 ISRAEL	29	58.6%	0.48
101	A.Dravitzki	🇳🇿 NEW ZEALAND	29	58.6%	0.55
102	C.He	🇨🇦 CANADA	26	57.7%	0.50
103	J.Tioh	🇸🇬 SINGAPORE	52	57.7%	0.61
104	S.Ridou	🇩🇪 GERMANY	37	56.8%	0.73
105	E.Langer	🇩🇪 GERMANY	39	56.4%	0.51
106	A.Armstrong	🇮🇪 IRELAND	51	54.9%	0.55
107	J.Pinto	🇮🇳 INDIA	24	54.2%	0.62
108	K.Flanagan	🇮🇪 IRELAND	39	53.8%	0.61
109	D.Hoyne	🇮🇪 IRELAND	51	52.9%	0.65
110	E.Connell	🇮🇪 IRELAND	40	50.0%	0.72
111	L.Oh	🇸🇬 SINGAPORE	53	43.4%	0.77
112	A.Libbrecht	🇫🇷 FRANCE	6	83.3%	0.17
113	A.Gong	🇺🇸 USA1	24	75.0%	0.25
114	N.Gong	🇺🇸 USA1	20	75.0%	0.25
115	VIGNESHWARAN .	🇮🇳 INDIA	14	64.3%	0.50
116	C.Bens	🇫🇷 FRANCE	4	25.0%	0.75

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	C.Lahrmann	🇩🇰 DENMARK	111	91.9%	0.09
2	D.Tylvad	🇩🇰 DENMARK	99	91.9%	0.09
3	T.Furness	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	88	89.8%	0.12
4	H.Rose	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	88	89.8%	0.12
5	Y.Inoue	🇯🇵 JAPAN	125	89.6%	0.16
6	K.Takizawa	🇯🇵 JAPAN	125	89.6%	0.16
7	N.Hammelev	🇩🇰 DENMARK	62	88.7%	0.11
8	A.Tylvad	🇩🇰 DENMARK	58	87.9%	0.12
9	Y.Niu	🇨🇳 CHINA	86	87.2%	0.13
10	Z.Wang	🇨🇳 CHINA	86	87.2%	0.13
11	C.Johnsen	🇳🇴 NORWAY	101	87.1%	0.16
12	T.Toesse	🇳🇴 NORWAY	101	87.1%	0.16
13	K.Dezso	🇭🇺 HUNGARY	81	86.4%	0.15
14	B.Zabradi	🇭🇺 HUNGARY	81	86.4%	0.15
15	J.Xiong	🇨🇦 CANADA	80	86.2%	0.24
16	K.Yang	🇨🇦 CANADA	80	86.2%	0.24
17	A.Rolf-Larsen	🇩🇰 DENMARK	83	85.5%	0.16
18	N.Zeeberg	🇩🇰 DENMARK	75	85.3%	0.16
19	O.Sabbah	🇮🇱 ISRAEL	108	85.2%	0.17
20	Y.Sliwowicz	🇮🇱 ISRAEL	108	85.2%	0.17
21	A.Gallard	🇫🇷 FRANCE	120	85.0%	0.20
22	L.Rombaut	🇫🇷 FRANCE	120	85.0%	0.20
23	H.Ma	🇨🇳 CHINA	93	84.9%	0.19
24	Z.Wang	🇨🇳 CHINA	93	84.9%	0.19
25	R.Bloch	🇫🇷 FRANCE	124	84.7%	0.17
26	E.Vallet	🇫🇷 FRANCE	124	84.7%	0.17
27	H.Luba	🇺🇸 USA1	111	84.7%	0.18
28	B.Zhu	🇺🇸 USA1	111	84.7%	0.18
29	M.Austad	🇳🇴 NORWAY	86	83.7%	0.20
30	N.Heiberg-Evenstad	🇳🇴 NORWAY	86	83.7%	0.20
31	J.Essink	🇳🇱 NETHERLANDS	67	83.6%	0.16
32	G.Friesen	🇳🇱 NETHERLANDS	67	83.6%	0.16
33	W.Bak	🇵🇱 POLAND	72	83.3%	0.19
34	F.Kurlit	🇵🇱 POLAND	72	83.3%	0.19
35	T.Chowdhury	🇮🇳 INDIA	119	83.2%	0.21
36	R.Xiao	🇺🇸 USA2	89	83.1%	0.19
37	J.Yue	🇺🇸 USA2	89	83.1%	0.19
38	M.Goor	🇳🇱 NETHERLANDS	69	82.6%	0.17
39	W.Klarenbeek	🇳🇱 NETHERLANDS	69	82.6%	0.17
40	R.Song	🇳🇿 NEW ZEALAND	125	82.4%	0.20
41	K.Kung	🇭🇰 HONG KONG CHINA	50	82.0%	0.18
42	T.Yip	🇭🇰 HONG KONG CHINA	50	82.0%	0.18
43	L.Ciborowska	🇵🇱 POLAND	83	81.9%	0.22
44	K.Ciborowski	🇵🇱 POLAND	83	81.9%	0.22
45	H.Cai	🇨🇳 CHINA	72	81.9%	0.31
46	J.Chen	🇨🇳 CHINA	72	81.9%	0.31
47	A.Brogeland	🇳🇴 NORWAY	88	81.8%	0.19
48	M.Saetre	🇳🇴 NORWAY	88	81.8%	0.19
49	Z.Yan	🇳🇿 NEW ZEALAND	125	81.6%	0.22
50	Z.Argay	🇭🇺 HUNGARY	119	81.5%	0.23
51	M.Kemeny	🇭🇺 HUNGARY	119	81.5%	0.23
52	PRAJJWAL -	🇮🇳 INDIA	100	81.0%	0.24
53	I.Moskovitz	🇮🇱 ISRAEL	88	80.7%	0.23
54	D.Msika	🇮🇱 ISRAEL	88	80.7%	0.23
55	V.Nandu	🇮🇳 INDIA	87	80.5%	0.23
56	Q.Chen	🇨🇦 CANADA	85	80.0%	0.23
57	G.Liu	🇨🇦 CANADA	85	80.0%	0.23
58	M.Haas	🇺🇸 USA2	85	80.0%	0.25
59	S.Pahk	🇺🇸 USA2	85	80.0%	0.25
60	X.Friesen	🇳🇱 NETHERLANDS	114	79.8%	0.25
61	R.Goor	🇳🇱 NETHERLANDS	114	79.8%	0.25
62	O.Manzur	🇮🇱 ISRAEL	69	79.7%	0.20
63	S.Zur	🇮🇱 ISRAEL	69	79.7%	0.20
64	J.Fegarty	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	74	79.7%	0.27
65	L.Fegarty	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	74	79.7%	0.27
66	A.Cope	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	97	79.4%	0.23
67	T.Gardner	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	97	79.4%	0.23
68	M.Janosik	🇭🇺 HUNGARY	68	79.4%	0.25
69	J.Marki-Zay	🇭🇺 HUNGARY	68	79.4%	0.25
70	K.Kuflowski	🇵🇱 POLAND	116	79.3%	0.28
71	W.Okrzesik	🇵🇱 POLAND	116	79.3%	0.28
72	A.Goss	🇦🇺 AUSTRALIA	104	78.8%	0.23
73	M.Hu	🇺🇸 USA2	104	78.8%	0.26
74	A.Zhou	🇺🇸 USA2	104	78.8%	0.26
75	O.Schireson	🇺🇸 USA1	92	78.3%	0.23
76	M.Xu	🇺🇸 USA1	92	78.3%	0.23
77	L.Topper	🇦🇺 AUSTRALIA	87	78.2%	0.25
78	LUKE - PAREDI Jack	🇦🇺 AUSTRALIA	109	78.0%	0.28
79	B.Koerner	🇩🇪 GERMANY	91	78.0%	0.29
80	R.Quennell	🇳🇿 NEW ZEALAND	85	77.6%	0.29
81	G.Morgan	🇦🇺 AUSTRALIA	111	77.5%	0.24
82	Z.Cheng	🇨🇦 CANADA	80	77.5%	0.29
83	C.He	🇨🇦 CANADA	80	77.5%	0.29
84	Y.Inamura	🇯🇵 JAPAN	84	77.4%	0.31
85	Y.Miura	🇯🇵 JAPAN	84	77.4%	0.31
86	K.Chheda	🇮🇳 INDIA	96	77.1%	0.30
87	J.Pinto	🇮🇳 INDIA	82	76.8%	0.29
88	E.Langer	🇩🇪 GERMANY	98	76.5%	0.28
89	J.Chiang	🇭🇰 HONG KONG CHINA	110	76.4%	0.26
90	D.Ko	🇭🇰 HONG KONG CHINA	110	76.4%	0.26
91	A.Seto	🇭🇰 HONG KONG CHINA	93	76.3%	0.31
92	L.To	🇭🇰 HONG KONG CHINA	93	76.3%	0.31
93	L.Meier	🇳🇿 NEW ZEALAND	133	75.9%	0.31
94	J.Tioh	🇸🇬 SINGAPORE	119	75.6%	0.34
95	P.Kingston	🇮🇪 IRELAND	114	75.4%	0.31
96	R.Siew	🇸🇬 SINGAPORE	130	75.4%	0.36
97	Y.Pong	🇸🇬 SINGAPORE	100	75.0%	0.33
98	G.Bartley	🇦🇺 AUSTRALIA	103	74.8%	0.31
99	K.Hasegawa	🇯🇵 JAPAN	83	74.7%	0.31
100	T.Inami	🇯🇵 JAPAN	83	74.7%	0.31
101	B.Doerdelmann	🇩🇪 GERMANY	105	73.3%	0.31
102	R.Arend	🇩🇪 GERMANY	101	73.3%	0.32
103	D.Hoyne	🇮🇪 IRELAND	108	73.1%	0.33
104	S.Ridou	🇩🇪 GERMANY	67	71.6%	0.37
105	A.Armstrong	🇮🇪 IRELAND	124	71.0%	0.37
106	C.Baumgart	🇩🇪 GERMANY	70	70.0%	0.36
107	L.Oh	🇸🇬 SINGAPORE	115	69.6%	0.46
108	A.Dravitzki	🇳🇿 NEW ZEALAND	64	68.8%	0.38
109	Y.Goh	🇸🇬 SINGAPORE	100	65.0%	0.51
110	E.Connell	🇮🇪 IRELAND	126	61.9%	0.53
111	K.Flanagan	🇮🇪 IRELAND	132	59.8%	0.55
112	C.Bens	🇫🇷 FRANCE	18	83.3%	0.17
113	A.Libbrecht	🇫🇷 FRANCE	18	83.3%	0.17
114	A.Gong	🇺🇸 USA1	54	79.6%	0.24
115	N.Gong	🇺🇸 USA1	54	79.6%	0.24
116	VIGNESHWARAN .	🇮🇳 INDIA	38	76.3%	0.26

Bidding activity↑ top

Share of a player’s bids that were not a pass — contract bids, doubles and redoubles, over every auction they sat in. High = active, low = quiet. Players with few boards are greyed. Click a column header to sort; filter by name or team.

#	Player	Team	Bids	Not pass	Active %
1	A.Tylvad	🇩🇰 DENMARK	386	196	50.8%
2	L.To	🇭🇰 HONG KONG CHINA	517	262	50.7%
3	L.Rombaut	🇫🇷 FRANCE	677	330	48.7%
4	D.Ko	🇭🇰 HONG KONG CHINA	599	292	48.7%
5	C.Lahrmann	🇩🇰 DENMARK	704	341	48.4%
6	B.Zhu	🇺🇸 USA1	663	320	48.3%
7	X.Friesen	🇳🇱 NETHERLANDS	713	344	48.2%
8	H.Luba	🇺🇸 USA1	666	321	48.2%
9	F.Kurlit	🇵🇱 POLAND	438	211	48.2%
10	W.Bak	🇵🇱 POLAND	432	208	48.1%
11	A.Seto	🇭🇰 HONG KONG CHINA	523	251	48.0%
12	A.Brogeland	🇳🇴 NORWAY	496	237	47.8%
13	Q.Chen	🇨🇦 CANADA	554	263	47.5%
14	O.Schireson	🇺🇸 USA1	541	257	47.5%
15	D.Tylvad	🇩🇰 DENMARK	669	315	47.1%
16	Z.Wang	🇨🇳 CHINA	541	255	47.1%
17	L.Fegarty	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	433	204	47.1%
18	R.Goor	🇳🇱 NETHERLANDS	726	340	46.8%
19	Y.Niu	🇨🇳 CHINA	497	232	46.7%
20	Z.Cheng	🇨🇦 CANADA	412	192	46.6%
21	B.Koerner	🇩🇪 GERMANY	535	249	46.5%
22	A.Goss	🇦🇺 AUSTRALIA	589	273	46.3%
23	S.Ridou	🇩🇪 GERMANY	432	199	46.1%
24	D.Msika	🇮🇱 ISRAEL	515	237	46.0%
25	I.Moskovitz	🇮🇱 ISRAEL	518	238	45.9%
26	G.Friesen	🇳🇱 NETHERLANDS	341	156	45.7%
27	K.Kung	🇭🇰 HONG KONG CHINA	293	133	45.4%
28	J.Chiang	🇭🇰 HONG KONG CHINA	608	275	45.2%
29	M.Kemeny	🇭🇺 HUNGARY	678	303	44.7%
30	T.Furness	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	476	213	44.7%
31	J.Chen	🇨🇳 CHINA	427	191	44.7%
32	G.Liu	🇨🇦 CANADA	567	253	44.6%
33	N.Heiberg-Evenstad	🇳🇴 NORWAY	471	210	44.6%
34	O.Sabbah	🇮🇱 ISRAEL	573	255	44.5%
35	M.Xu	🇺🇸 USA1	544	242	44.5%
36	M.Saetre	🇳🇴 NORWAY	501	223	44.5%
37	J.Tioh	🇸🇬 SINGAPORE	595	264	44.4%
38	A.Zhou	🇺🇸 USA2	543	241	44.4%
39	R.Xiao	🇺🇸 USA2	498	221	44.4%
40	Y.Pong	🇸🇬 SINGAPORE	516	228	44.2%
41	LUKE - PAREDI Jack	🇦🇺 AUSTRALIA	571	252	44.1%
42	PRAJJWAL -	🇮🇳 INDIA	555	245	44.1%
43	K.Kuflowski	🇵🇱 POLAND	616	271	44.0%
44	V.Nandu	🇮🇳 INDIA	473	208	44.0%
45	J.Fegarty	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	445	196	44.0%
46	N.Hammelev	🇩🇰 DENMARK	382	168	44.0%
47	J.Yue	🇺🇸 USA2	497	218	43.9%
48	A.Gallard	🇫🇷 FRANCE	695	304	43.7%
49	W.Okrzesik	🇵🇱 POLAND	609	266	43.7%
50	R.Bloch	🇫🇷 FRANCE	680	296	43.5%
51	L.Topper	🇦🇺 AUSTRALIA	434	189	43.5%
52	M.Haas	🇺🇸 USA2	423	184	43.5%
53	Y.Goh	🇸🇬 SINGAPORE	493	213	43.2%
54	G.Morgan	🇦🇺 AUSTRALIA	577	248	43.0%
55	T.Yip	🇭🇰 HONG KONG CHINA	300	129	43.0%
56	D.Hoyne	🇮🇪 IRELAND	546	234	42.9%
57	H.Ma	🇨🇳 CHINA	538	231	42.9%
58	K.Yang	🇨🇦 CANADA	435	186	42.8%
59	K.Takizawa	🇯🇵 JAPAN	670	286	42.7%
60	B.Zabradi	🇭🇺 HUNGARY	398	169	42.5%
61	R.Song	🇳🇿 NEW ZEALAND	710	301	42.4%
62	K.Chheda	🇮🇳 INDIA	553	234	42.3%
63	Z.Wang	🇨🇳 CHINA	513	217	42.3%
64	A.Cope	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	507	214	42.2%
65	Y.Inoue	🇯🇵 JAPAN	666	279	41.9%
66	L.Meier	🇳🇿 NEW ZEALAND	735	307	41.8%
67	K.Dezso	🇭🇺 HUNGARY	403	168	41.7%
68	Z.Argay	🇭🇺 HUNGARY	678	282	41.6%
69	L.Oh	🇸🇬 SINGAPORE	603	250	41.5%
70	M.Hu	🇺🇸 USA2	542	225	41.5%
71	H.Rose	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	475	197	41.5%
72	C.He	🇨🇦 CANADA	414	171	41.3%
73	C.Baumgart	🇩🇪 GERMANY	373	154	41.3%
74	J.Essink	🇳🇱 NETHERLANDS	342	141	41.2%
75	Y.Sliwowicz	🇮🇱 ISRAEL	587	241	41.1%
76	K.Ciborowski	🇵🇱 POLAND	431	177	41.1%
77	W.Klarenbeek	🇳🇱 NETHERLANDS	382	157	41.1%
78	M.Janosik	🇭🇺 HUNGARY	350	144	41.1%
79	G.Bartley	🇦🇺 AUSTRALIA	537	220	41.0%
80	M.Austad	🇳🇴 NORWAY	483	198	41.0%
81	M.Goor	🇳🇱 NETHERLANDS	385	158	41.0%
82	K.Hasegawa	🇯🇵 JAPAN	410	167	40.7%
83	J.Xiong	🇨🇦 CANADA	442	179	40.5%
84	T.Chowdhury	🇮🇳 INDIA	591	238	40.3%
85	S.Pahk	🇺🇸 USA2	439	177	40.3%
86	E.Vallet	🇫🇷 FRANCE	684	273	39.9%
87	J.Marki-Zay	🇭🇺 HUNGARY	347	138	39.8%
88	Z.Yan	🇳🇿 NEW ZEALAND	703	279	39.7%
89	R.Siew	🇸🇬 SINGAPORE	635	252	39.7%
90	L.Ciborowska	🇵🇱 POLAND	433	172	39.7%
91	H.Cai	🇨🇳 CHINA	433	172	39.7%
92	T.Inami	🇯🇵 JAPAN	418	166	39.7%
93	J.Pinto	🇮🇳 INDIA	403	159	39.5%
94	T.Toesse	🇳🇴 NORWAY	483	190	39.3%
95	E.Langer	🇩🇪 GERMANY	529	207	39.1%
96	C.Johnsen	🇳🇴 NORWAY	484	189	39.0%
97	P.Kingston	🇮🇪 IRELAND	585	226	38.6%
98	B.Doerdelmann	🇩🇪 GERMANY	533	206	38.6%
99	S.Zur	🇮🇱 ISRAEL	311	120	38.6%
100	R.Arend	🇩🇪 GERMANY	485	186	38.4%
101	T.Gardner	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	509	194	38.1%
102	N.Zeeberg	🇩🇰 DENMARK	389	148	38.0%
103	O.Manzur	🇮🇱 ISRAEL	315	119	37.8%
104	A.Dravitzki	🇳🇿 NEW ZEALAND	376	141	37.5%
105	R.Quennell	🇳🇿 NEW ZEALAND	435	162	37.2%
106	A.Rolf-Larsen	🇩🇰 DENMARK	429	156	36.4%
107	K.Flanagan	🇮🇪 IRELAND	545	192	35.2%
108	Y.Inamura	🇯🇵 JAPAN	397	138	34.8%
109	A.Armstrong	🇮🇪 IRELAND	556	192	34.5%
110	Y.Miura	🇯🇵 JAPAN	396	134	33.8%
111	E.Connell	🇮🇪 IRELAND	536	161	30.0%
112	N.Gong	🇺🇸 USA1	260	109	41.9%
113	A.Gong	🇺🇸 USA1	259	106	40.9%
114	VIGNESHWARAN .	🇮🇳 INDIA	232	86	37.1%
115	C.Bens	🇫🇷 FRANCE	74	26	35.1%
116	A.Libbrecht	🇫🇷 FRANCE	73	22	30.1%

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	O.Sabbah	🇮🇱 ISRAEL	210	+0.16	+1.25	+1.41	·
2	Y.Sliwowicz	🇮🇱 ISRAEL	210	+0.16	+1.25	+1.41	·
3	Y.Niu	🇨🇳 CHINA	182	+0.08	+0.90	+0.98	▲6
4	Z.Wang	🇨🇳 CHINA	182	+0.08	+0.90	+0.98	▲6
5	T.Furness	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	182	-0.19	+1.16	+0.97	▼2
6	H.Rose	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	182	-0.19	+1.16	+0.97	▼2
7	X.Friesen	🇳🇱 NETHERLANDS	266	-0.02	+0.97	+0.95	·
8	R.Goor	🇳🇱 NETHERLANDS	266	-0.02	+0.97	+0.95	·
9	R.Bloch	🇫🇷 FRANCE	252	+0.01	+0.89	+0.90	▲2
10	E.Vallet	🇫🇷 FRANCE	252	+0.01	+0.89	+0.90	▲2
11	K.Kuflowski	🇵🇱 POLAND	224	+0.13	+0.74	+0.87	▲4
12	W.Okrzesik	🇵🇱 POLAND	224	+0.13	+0.74	+0.87	▲4
13	O.Schireson	🇺🇸 USA1	196	+0.20	+0.63	+0.83	▲6
14	M.Xu	🇺🇸 USA1	196	+0.20	+0.63	+0.83	▲6
15	W.Bak	🇵🇱 POLAND	154	+0.25	+0.53	+0.78	▲9
16	F.Kurlit	🇵🇱 POLAND	154	+0.25	+0.53	+0.78	▲9
17	R.Xiao	🇺🇸 USA2	182	+0.09	+0.64	+0.73	·
18	J.Yue	🇺🇸 USA2	182	+0.09	+0.64	+0.73	·
19	C.Lahrmann	🇩🇰 DENMARK	252	-0.19	+0.88	+0.69	▼6
20	D.Tylvad	🇩🇰 DENMARK	238	-0.16	+0.84	+0.68	▼6
21	L.Ciborowska	🇵🇱 POLAND	154	-0.54	+1.13	+0.59	▼16
22	K.Ciborowski	🇵🇱 POLAND	154	-0.54	+1.13	+0.59	▼16
23	LUKE - PAREDI Jack	🇦🇺 AUSTRALIA	224	-0.07	+0.55	+0.48	▼2
24	I.Moskovitz	🇮🇱 ISRAEL	196	-0.00	+0.47	+0.46	▲4
25	D.Msika	🇮🇱 ISRAEL	196	-0.00	+0.47	+0.46	▲4
26	M.Hu	🇺🇸 USA2	196	-0.14	+0.54	+0.41	▼4
27	A.Zhou	🇺🇸 USA2	196	-0.14	+0.54	+0.41	▼4
28	A.Goss	🇦🇺 AUSTRALIA	224	+0.12	+0.27	+0.39	▲11
29	H.Ma	🇨🇳 CHINA	196	+0.03	+0.36	+0.38	▲3
30	Z.Wang	🇨🇳 CHINA	196	+0.03	+0.36	+0.38	▲3
31	A.Brogeland	🇳🇴 NORWAY	182	-0.04	+0.42	+0.38	▼1
32	M.Saetre	🇳🇴 NORWAY	182	-0.04	+0.42	+0.38	▼1
33	Y.Inoue	🇯🇵 JAPAN	238	+0.17	+0.20	+0.36	▲15
34	K.Takizawa	🇯🇵 JAPAN	238	+0.17	+0.20	+0.36	▲15
35	A.Gallard	🇫🇷 FRANCE	252	+0.13	+0.21	+0.34	▲11
36	L.Rombaut	🇫🇷 FRANCE	252	+0.13	+0.21	+0.34	▲11
37	M.Haas	🇺🇸 USA2	154	-0.14	+0.48	+0.34	▼11
38	S.Pahk	🇺🇸 USA2	154	-0.14	+0.48	+0.34	▼11
39	K.Dezso	🇭🇺 HUNGARY	154	+0.01	+0.33	+0.33	▼4
40	B.Zabradi	🇭🇺 HUNGARY	154	+0.01	+0.33	+0.33	▼4
41	J.Chiang	🇭🇰 HONG KONG CHINA	224	+0.15	+0.14	+0.29	▲13
42	D.Ko	🇭🇰 HONG KONG CHINA	224	+0.15	+0.14	+0.29	▲13
43	Z.Argay	🇭🇺 HUNGARY	252	+0.08	+0.18	+0.26	▲7
44	M.Kemeny	🇭🇺 HUNGARY	252	+0.08	+0.18	+0.26	▲7
45	G.Morgan	🇦🇺 AUSTRALIA	224	+0.18	+0.06	+0.24	▲18
46	G.Bartley	🇦🇺 AUSTRALIA	210	-0.12	+0.34	+0.22	▼12
47	H.Luba	🇺🇸 USA1	238	-0.04	+0.24	+0.20	▼4
48	B.Zhu	🇺🇸 USA1	238	-0.04	+0.24	+0.20	▼4
49	A.Rolf-Larsen	🇩🇰 DENMARK	154	+0.24	-0.07	+0.17	▲21
50	N.Hammelev	🇩🇰 DENMARK	140	-0.09	+0.21	+0.13	▼5
51	A.Tylvad	🇩🇰 DENMARK	140	+0.03	+0.08	+0.11	▲11
52	N.Zeeberg	🇩🇰 DENMARK	140	+0.21	-0.10	+0.11	▲21
53	Y.Inamura	🇯🇵 JAPAN	140	-0.20	+0.30	+0.09	▼16
54	Y.Miura	🇯🇵 JAPAN	140	-0.20	+0.30	+0.09	▼16
55	A.Seto	🇭🇰 HONG KONG CHINA	196	+0.04	+0.01	+0.05	▲13
56	L.To	🇭🇰 HONG KONG CHINA	196	+0.04	+0.01	+0.05	▲13
57	L.Topper	🇦🇺 AUSTRALIA	182	-0.21	+0.25	+0.04	▼15
58	C.Johnsen	🇳🇴 NORWAY	182	-0.26	+0.25	-0.01	▼18
59	T.Toesse	🇳🇴 NORWAY	182	-0.26	+0.25	-0.01	▼18
60	K.Hasegawa	🇯🇵 JAPAN	154	-0.10	+0.09	-0.01	·
61	T.Inami	🇯🇵 JAPAN	154	-0.10	+0.09	-0.01	·
62	R.Song	🇳🇿 NEW ZEALAND	252	+0.08	-0.10	-0.02	▲12
63	J.Fegarty	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	168	-0.17	+0.14	-0.04	▼5
64	L.Fegarty	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	168	-0.17	+0.14	-0.04	▼5
65	R.Quennell	🇳🇿 NEW ZEALAND	154	+0.29	-0.34	-0.05	▲12
66	M.Janosik	🇭🇺 HUNGARY	126	+0.02	-0.08	-0.06	▲5
67	J.Marki-Zay	🇭🇺 HUNGARY	126	+0.02	-0.08	-0.06	▲5
68	Q.Chen	🇨🇦 CANADA	210	+0.30	-0.37	-0.07	▲14
69	G.Liu	🇨🇦 CANADA	210	+0.30	-0.37	-0.07	▲14
70	J.Essink	🇳🇱 NETHERLANDS	126	-0.23	+0.14	-0.08	▼14
71	G.Friesen	🇳🇱 NETHERLANDS	126	-0.23	+0.14	-0.08	▼14
72	Z.Yan	🇳🇿 NEW ZEALAND	252	-0.01	-0.12	-0.12	▲3
73	A.Cope	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	182	+0.19	-0.37	-0.18	▲7
74	T.Gardner	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	182	+0.19	-0.37	-0.18	▲7
75	O.Manzur	🇮🇱 ISRAEL	126	-0.38	+0.17	-0.21	▼23
76	S.Zur	🇮🇱 ISRAEL	126	-0.38	+0.17	-0.21	▼23
77	H.Cai	🇨🇳 CHINA	154	-0.22	+0.01	-0.21	▼11
78	J.Chen	🇨🇳 CHINA	154	-0.22	+0.01	-0.21	▼11
79	L.Meier	🇳🇿 NEW ZEALAND	266	-0.07	-0.17	-0.24	▼3
80	M.Goor	🇳🇱 NETHERLANDS	140	+0.12	-0.37	-0.24	▼2
81	W.Klarenbeek	🇳🇱 NETHERLANDS	140	+0.12	-0.37	-0.24	▼2
82	J.Xiong	🇨🇦 CANADA	168	-0.27	+0.03	-0.24	▼18
83	K.Yang	🇨🇦 CANADA	168	-0.27	+0.03	-0.24	▼18
84	Z.Cheng	🇨🇦 CANADA	154	+0.08	-0.40	-0.32	·
85	C.He	🇨🇦 CANADA	154	+0.08	-0.40	-0.32	·
86	K.Chheda	🇮🇳 INDIA	210	-0.01	-0.44	-0.45	·
87	M.Austad	🇳🇴 NORWAY	168	+0.35	-0.82	-0.47	▲9
88	N.Heiberg-Evenstad	🇳🇴 NORWAY	168	+0.35	-0.82	-0.47	▲9
89	E.Langer	🇩🇪 GERMANY	196	-0.11	-0.44	-0.55	▼2
90	PRAJJWAL -	🇮🇳 INDIA	210	+0.09	-0.65	-0.56	▲4
91	V.Nandu	🇮🇳 INDIA	182	-0.08	-0.52	-0.60	▼1
92	J.Pinto	🇮🇳 INDIA	154	-0.12	-0.51	-0.62	▼3
93	Y.Pong	🇸🇬 SINGAPORE	196	+0.22	-0.87	-0.66	▲5
94	T.Chowdhury	🇮🇳 INDIA	224	-0.02	-0.65	-0.67	▲1
95	A.Dravitzki	🇳🇿 NEW ZEALAND	140	-0.29	-0.48	-0.77	▼7
96	C.Baumgart	🇩🇪 GERMANY	140	-0.30	-0.60	-0.91	▼3
97	Y.Goh	🇸🇬 SINGAPORE	182	+0.28	-1.23	-0.94	▲6
98	K.Kung	🇭🇰 HONG KONG CHINA	112	-0.37	-0.60	-0.97	▼7
99	T.Yip	🇭🇰 HONG KONG CHINA	112	-0.37	-0.60	-0.97	▼7
100	B.Doerdelmann	🇩🇪 GERMANY	196	+0.09	-1.06	-0.98	·
101	R.Arend	🇩🇪 GERMANY	182	+0.05	-1.06	-1.01	▼2
102	L.Oh	🇸🇬 SINGAPORE	224	+0.09	-1.14	-1.05	▼1
103	R.Siew	🇸🇬 SINGAPORE	238	-0.00	-1.17	-1.17	▼1
104	P.Kingston	🇮🇪 IRELAND	224	+0.03	-1.30	-1.27	▲1
105	J.Tioh	🇸🇬 SINGAPORE	224	+0.03	-1.38	-1.34	▲1
106	D.Hoyne	🇮🇪 IRELAND	210	-0.12	-1.28	-1.40	▼2
107	B.Koerner	🇩🇪 GERMANY	196	+0.07	-1.47	-1.40	·
108	A.Armstrong	🇮🇪 IRELAND	210	+0.11	-1.70	-1.60	·
109	K.Flanagan	🇮🇪 IRELAND	210	+0.46	-2.39	-1.93	▲1
110	S.Ridou	🇩🇪 GERMANY	154	+0.00	-1.96	-1.95	▼1
111	E.Connell	🇮🇪 IRELAND	210	+0.16	-2.43	-2.27	·

Stages

Statistics

Tables