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	Y.Chen	🇨🇳 CHINA	285	+0.88	+250.0
2	B.Fu	🇨🇳 CHINA	285	+0.88	+250.0
3	K.Dufrat	🇵🇱 POLAND	222	+0.72	+160.0
4	P.Zatorski	🇵🇱 POLAND	222	+0.72	+160.0
5	S.Auken	🇩🇪 GERMANY	253	+0.61	+155.0
6	R.Welland	🇩🇪 GERMANY	253	+0.61	+155.0
7	P.Marcinowski	🇵🇱 POLAND	270	+0.51	+138.0
8	J.Zmuda	🇵🇱 POLAND	270	+0.51	+138.0
9	A.Asulin	🇮🇱 ISRAEL	141	+0.38	+53.0
10	R.Pachtman	🇮🇱 ISRAEL	141	+0.38	+53.0
11	C.Froehner	🇩🇪 GERMANY	190	+0.24	+45.0
12	P.Nehmert	🇩🇪 GERMANY	190	+0.24	+45.0
13	L.Cima	🇮🇹 ITALY	206	+0.09	+19.0
14	B.Dessi	🇮🇹 ITALY	206	+0.09	+19.0
15	D.Attanasio	🇮🇹 ITALY	158	+0.09	+14.0
16	G.Manara	🇮🇹 ITALY	158	+0.09	+14.0
17	Y.Sun	🇨🇳 CHINA	285	+0.01	+2.0
18	I.Baroni	🇮🇹 ITALY	236	-0.06	-15.0
19	A.Gandoglia	🇮🇹 ITALY	236	-0.06	-15.0
20	N.Heiberg-Evenstad	🇳🇴 NORWAY	156	-0.15	-23.0
21	S.Sjodal	🇳🇴 NORWAY	156	-0.15	-23.0
22	R.Sivertsvik	🇳🇴 NORWAY	156	-0.28	-44.0
23	M.Hutyra	🇵🇱 POLAND	174	-0.40	-70.0
24	D.Kazmucha	🇵🇱 POLAND	174	-0.40	-70.0
25	Y.Liu	🇨🇳 CHINA	348	-0.56	-195.0
26	K.Asplund	🇸🇪 SWEDEN	45	+2.24	+101.0
27	S.Asplund Sivelind	🇸🇪 SWEDEN	45	+2.24	+101.0
28	D.Korbel	🇺🇸 U.S.A.	125	+1.18	+148.0
29	S.Shi	🇺🇸 U.S.A.	125	+1.18	+148.0
30	M.Gold	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	45	+0.89	+40.0
31	S.Tommasini	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	45	+0.89	+40.0
32	M.Drogemuller	🇩🇰 DENMARK	45	+0.64	+29.0
33	A.Rolf-Larsen	🇩🇰 DENMARK	45	+0.64	+29.0
34	K.Nadar	🇮🇳 INDIA	45	+0.62	+28.0
35	B.Satyanarayana	🇮🇳 INDIA	45	+0.62	+28.0
36	Y.Kuang	🇨🇳 CHINA	63	+0.57	+36.0
37	D.Diklic	🇭🇷 CROATIA	45	+0.38	+17.0
38	M.Pilipovic	🇭🇷 CROATIA	45	+0.38	+17.0
39	W.Lai	🇭🇰 HONG KONG CHINA	60	+0.30	+18.0
40	W.Wang	🇭🇰 HONG KONG CHINA	60	+0.30	+18.0
41	V.Reess	🇫🇷 FRANCE	109	+0.14	+15.0
42	L.Thuillez	🇫🇷 FRANCE	109	+0.14	+15.0
43	D.Nettleton	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	30	+0.13	+4.0
44	B.Norton	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	30	+0.13	+4.0
45	S.Evenstad	🇳🇴 NORWAY	78	-0.10	-8.0
46	A.Gladiator	🇩🇪 GERMANY	127	-0.16	-20.0
47	M.Gromoeller	🇩🇪 GERMANY	127	-0.16	-20.0
48	G.Hampson	🇺🇸 U.S.A.	109	-0.17	-19.0
49	J.Seamon-Molson	🇺🇸 U.S.A.	109	-0.17	-19.0
50	N.Sver	🇭🇷 CROATIA	60	-0.33	-20.0
51	V.Zoric	🇭🇷 CROATIA	60	-0.33	-20.0
52	R.Benin-Barr	🇮🇱 ISRAEL	46	-0.41	-19.0
53	Y.Zack	🇮🇱 ISRAEL	46	-0.41	-19.0
54	I.Bareket	🇮🇱 ISRAEL	125	-0.42	-52.0
55	N.Saada	🇮🇱 ISRAEL	125	-0.42	-52.0
56	K.Bogo	🇳🇴 NORWAY	78	-0.46	-36.0
57	B.Cronier	🇫🇷 FRANCE	109	-0.54	-59.0
58	P.Cronier	🇫🇷 FRANCE	109	-0.54	-59.0
59	K.Mak	🇭🇰 HONG KONG CHINA	60	-0.57	-34.0
60	T.Tang	🇭🇰 HONG KONG CHINA	60	-0.57	-34.0
61	N.Bekkouche	🇩🇰 DENMARK	45	-0.64	-29.0
62	F.Danielsen	🇩🇰 DENMARK	45	-0.64	-29.0
63	P.Schmidt	🇫🇷 FRANCE	94	-0.70	-66.0
64	J.Zochowska	🇫🇷 FRANCE	94	-0.70	-66.0
65	D.Bernal	🇨🇴 COLOMBIA	30	-0.73	-22.0
66	C.Hoyos	🇨🇴 COLOMBIA	30	-0.73	-22.0
67	J.Barrera	🇨🇴 COLOMBIA	30	-0.73	-22.0
68	J.Ochoa	🇨🇴 COLOMBIA	30	-0.73	-22.0
69	B.Fisher	🇳🇿 NEW ZEALAND	30	-0.87	-26.0
70	E.Fisher	🇳🇿 NEW ZEALAND	30	-0.87	-26.0
71	E.Wold	🇺🇸 U.S.A.	78	-0.91	-71.0
72	S.Zhang	🇺🇸 U.S.A.	78	-0.91	-71.0
73	K.Martensen-Larsen	🇩🇰 DENMARK	30	-1.00	-30.0
74	F.Poulsen	🇩🇰 DENMARK	30	-1.00	-30.0
75	B.Jones	🇳🇿 NEW ZEALAND	30	-1.07	-32.0
76	J.Millington	🇳🇿 NEW ZEALAND	30	-1.07	-32.0
77	F.Hinden	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	45	-1.13	-51.0
78	G.Osborne	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	45	-1.13	-51.0
79	C.Ahlesved	🇸🇪 SWEDEN	45	-1.27	-57.0
80	K.Ahlesved	🇸🇪 SWEDEN	45	-1.27	-57.0
81	Y.Lu	🇨🇳 CHINA	126	-1.28	-161.0
82	J.Atkinson	🇳🇿 NEW ZEALAND	30	-1.30	-39.0
83	P.Carter	🇳🇿 NEW ZEALAND	30	-1.30	-39.0
84	F.Jarlvik	🇸🇪 SWEDEN	30	-1.33	-40.0
85	T.Trendafilova	🇸🇪 SWEDEN	30	-1.33	-40.0
86	B.Kohli	🇮🇳 INDIA	30	-1.47	-44.0
87	T.Ramani	🇮🇳 INDIA	30	-1.47	-44.0
88	T.Brkljacic	🇭🇷 CROATIA	15	-1.60	-24.0
89	M.Mestric	🇭🇷 CROATIA	15	-1.60	-24.0
90	J.Castillo	🇨🇴 COLOMBIA	30	-1.67	-50.0
91	L.Madueno	🇨🇴 COLOMBIA	30	-1.67	-50.0
92	H.Khandelwal	🇮🇳 INDIA	45	-2.16	-97.0
93	R.Khandelwal	🇮🇳 INDIA	45	-2.16	-97.0

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	M.Hutyra	🇵🇱 POLAND	5	100.0%	0.00
2	R.Pachtman	🇮🇱 ISRAEL	13	92.3%	0.15
3	N.Heiberg-Evenstad	🇳🇴 NORWAY	28	89.3%	0.18
4	D.Kazmucha	🇵🇱 POLAND	9	88.9%	0.22
5	Y.Chen	🇨🇳 CHINA	42	88.1%	0.14
6	R.Sivertsvik	🇳🇴 NORWAY	7	85.7%	0.29
7	B.Fu	🇨🇳 CHINA	34	85.3%	0.29
8	P.Nehmert	🇩🇪 GERMANY	42	83.3%	0.19
9	B.Dessi	🇮🇹 ITALY	26	80.8%	0.31
10	A.Asulin	🇮🇱 ISRAEL	15	80.0%	0.20
11	A.Gandoglia	🇮🇹 ITALY	34	79.4%	0.27
12	P.Zatorski	🇵🇱 POLAND	29	79.3%	0.21
13	S.Sjodal	🇳🇴 NORWAY	24	79.2%	0.21
14	L.Cima	🇮🇹 ITALY	27	77.8%	0.26
15	Y.Liu	🇨🇳 CHINA	38	76.3%	0.26
16	C.Froehner	🇩🇪 GERMANY	42	76.2%	0.36
17	J.Zmuda	🇵🇱 POLAND	49	75.5%	0.24
18	D.Attanasio	🇮🇹 ITALY	16	75.0%	0.25
19	P.Marcinowski	🇵🇱 POLAND	43	74.4%	0.33
20	K.Dufrat	🇵🇱 POLAND	33	72.7%	0.36
21	Y.Sun	🇨🇳 CHINA	36	72.2%	0.36
22	I.Baroni	🇮🇹 ITALY	34	70.6%	0.32
23	R.Welland	🇩🇪 GERMANY	17	70.6%	0.47
24	G.Manara	🇮🇹 ITALY	18	55.6%	0.61
25	S.Auken	🇩🇪 GERMANY	17	47.1%	0.65
26	S.Asplund Sivelind	🇸🇪 SWEDEN	6	100.0%	0.00
27	Y.Kuang	🇨🇳 CHINA	9	100.0%	0.00
28	F.Hinden	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	3	100.0%	0.00
29	G.Osborne	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	4	100.0%	0.00
30	B.Cronier	🇫🇷 FRANCE	7	100.0%	0.00
31	D.Nettleton	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	2	100.0%	0.00
32	B.Norton	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	5	100.0%	0.00
33	A.Rolf-Larsen	🇩🇰 DENMARK	2	100.0%	0.00
34	Y.Zack	🇮🇱 ISRAEL	10	100.0%	0.00
35	W.Wang	🇭🇰 HONG KONG CHINA	6	100.0%	0.00
36	F.Poulsen	🇩🇰 DENMARK	5	100.0%	0.00
37	N.Sver	🇭🇷 CROATIA	13	100.0%	0.00
38	J.Millington	🇳🇿 NEW ZEALAND	5	100.0%	0.00
39	B.Fisher	🇳🇿 NEW ZEALAND	6	100.0%	0.00
40	E.Fisher	🇳🇿 NEW ZEALAND	6	100.0%	0.00
41	J.Castillo	🇨🇴 COLOMBIA	6	100.0%	0.00
42	J.Barrera	🇨🇴 COLOMBIA	3	100.0%	0.00
43	J.Ochoa	🇨🇴 COLOMBIA	3	100.0%	0.00
44	R.Khandelwal	🇮🇳 INDIA	3	100.0%	0.00
45	V.Zoric	🇭🇷 CROATIA	15	93.3%	0.07
46	S.Zhang	🇺🇸 U.S.A.	14	92.9%	0.07
47	L.Thuillez	🇫🇷 FRANCE	20	90.0%	0.15
48	W.Lai	🇭🇰 HONG KONG CHINA	10	90.0%	0.20
49	K.Mak	🇭🇰 HONG KONG CHINA	9	88.9%	0.11
50	Y.Lu	🇨🇳 CHINA	9	88.9%	0.11
51	M.Gold	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	9	88.9%	0.22
52	T.Tang	🇭🇰 HONG KONG CHINA	8	87.5%	0.12
53	E.Wold	🇺🇸 U.S.A.	24	87.5%	0.17
54	M.Drogemuller	🇩🇰 DENMARK	7	85.7%	0.14
55	I.Bareket	🇮🇱 ISRAEL	7	85.7%	0.14
56	N.Saada	🇮🇱 ISRAEL	14	85.7%	0.14
57	J.Seamon-Molson	🇺🇸 U.S.A.	13	84.6%	0.15
58	P.Cronier	🇫🇷 FRANCE	13	84.6%	0.15
59	F.Danielsen	🇩🇰 DENMARK	6	83.3%	0.17
60	J.Zochowska	🇫🇷 FRANCE	6	83.3%	0.17
61	L.Madueno	🇨🇴 COLOMBIA	6	83.3%	0.17
62	K.Asplund	🇸🇪 SWEDEN	11	81.8%	0.18
63	D.Korbel	🇺🇸 U.S.A.	11	81.8%	0.18
64	G.Hampson	🇺🇸 U.S.A.	5	80.0%	0.20
65	A.Gladiator	🇩🇪 GERMANY	15	80.0%	0.20
66	S.Evenstad	🇳🇴 NORWAY	5	80.0%	0.20
67	R.Benin-Barr	🇮🇱 ISRAEL	10	80.0%	0.20
68	T.Ramani	🇮🇳 INDIA	5	80.0%	0.20
69	M.Gromoeller	🇩🇪 GERMANY	25	80.0%	0.24
70	K.Bogo	🇳🇴 NORWAY	9	77.8%	0.22
71	N.Bekkouche	🇩🇰 DENMARK	9	77.8%	0.33
72	S.Shi	🇺🇸 U.S.A.	13	76.9%	0.23
73	K.Nadar	🇮🇳 INDIA	4	75.0%	0.25
74	F.Jarlvik	🇸🇪 SWEDEN	7	71.4%	0.29
75	B.Kohli	🇮🇳 INDIA	7	71.4%	0.29
76	S.Tommasini	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	7	71.4%	0.43
77	V.Reess	🇫🇷 FRANCE	22	68.2%	0.36
78	K.Martensen-Larsen	🇩🇰 DENMARK	6	66.7%	0.33
79	H.Khandelwal	🇮🇳 INDIA	6	66.7%	0.33
80	T.Trendafilova	🇸🇪 SWEDEN	11	63.6%	0.55
81	P.Schmidt	🇫🇷 FRANCE	2	50.0%	0.50
82	B.Satyanarayana	🇮🇳 INDIA	4	50.0%	0.50
83	B.Jones	🇳🇿 NEW ZEALAND	2	50.0%	0.50

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	S.Sjodal	🇳🇴 NORWAY	19	89.5%	0.10
2	R.Welland	🇩🇪 GERMANY	18	88.9%	0.11
3	Y.Chen	🇨🇳 CHINA	34	88.2%	0.15
4	R.Pachtman	🇮🇱 ISRAEL	23	87.0%	0.17
5	M.Hutyra	🇵🇱 POLAND	7	85.7%	0.14
6	B.Fu	🇨🇳 CHINA	33	84.8%	0.21
7	P.Marcinowski	🇵🇱 POLAND	53	83.0%	0.19
8	A.Gandoglia	🇮🇹 ITALY	33	81.8%	0.24
9	D.Kazmucha	🇵🇱 POLAND	10	80.0%	0.30
10	P.Nehmert	🇩🇪 GERMANY	29	79.3%	0.24
11	L.Cima	🇮🇹 ITALY	19	78.9%	0.26
12	N.Heiberg-Evenstad	🇳🇴 NORWAY	38	78.9%	0.26
13	P.Zatorski	🇵🇱 POLAND	28	78.6%	0.21
14	Y.Liu	🇨🇳 CHINA	54	77.8%	0.33
15	Y.Sun	🇨🇳 CHINA	36	75.0%	0.28
16	A.Asulin	🇮🇱 ISRAEL	12	75.0%	0.42
17	D.Attanasio	🇮🇹 ITALY	15	73.3%	0.47
18	G.Manara	🇮🇹 ITALY	14	71.4%	0.36
19	I.Baroni	🇮🇹 ITALY	41	68.3%	0.49
20	B.Dessi	🇮🇹 ITALY	22	68.2%	0.41
21	J.Zmuda	🇵🇱 POLAND	46	67.4%	0.37
22	C.Froehner	🇩🇪 GERMANY	28	64.3%	0.46
23	R.Sivertsvik	🇳🇴 NORWAY	11	63.6%	0.55
24	K.Dufrat	🇵🇱 POLAND	21	61.9%	0.48
25	S.Auken	🇩🇪 GERMANY	12	58.3%	0.67
26	D.Nettleton	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	1	100.0%	0.00
27	M.Drogemuller	🇩🇰 DENMARK	2	100.0%	0.00
28	N.Saada	🇮🇱 ISRAEL	12	100.0%	0.00
29	J.Zochowska	🇫🇷 FRANCE	2	100.0%	0.00
30	K.Nadar	🇮🇳 INDIA	2	100.0%	0.00
31	J.Millington	🇳🇿 NEW ZEALAND	3	100.0%	0.00
32	N.Sver	🇭🇷 CROATIA	11	90.9%	0.09
33	T.Tang	🇭🇰 HONG KONG CHINA	9	88.9%	0.11
34	W.Wang	🇭🇰 HONG KONG CHINA	9	88.9%	0.33
35	S.Asplund Sivelind	🇸🇪 SWEDEN	7	85.7%	0.14
36	P.Cronier	🇫🇷 FRANCE	14	85.7%	0.14
37	B.Norton	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	7	85.7%	0.14
38	S.Shi	🇺🇸 U.S.A.	13	84.6%	0.15
39	F.Hinden	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	6	83.3%	0.17
40	P.Schmidt	🇫🇷 FRANCE	6	83.3%	0.17
41	Y.Kuang	🇨🇳 CHINA	6	83.3%	0.33
42	E.Wold	🇺🇸 U.S.A.	22	81.8%	0.27
43	B.Satyanarayana	🇮🇳 INDIA	5	80.0%	0.20
44	M.Gromoeller	🇩🇪 GERMANY	19	78.9%	0.21
45	A.Gladiator	🇩🇪 GERMANY	19	78.9%	0.42
46	G.Hampson	🇺🇸 U.S.A.	9	77.8%	0.22
47	L.Thuillez	🇫🇷 FRANCE	31	77.4%	0.26
48	J.Seamon-Molson	🇺🇸 U.S.A.	4	75.0%	0.25
49	S.Evenstad	🇳🇴 NORWAY	4	75.0%	0.25
50	V.Reess	🇫🇷 FRANCE	20	75.0%	0.25
51	T.Trendafilova	🇸🇪 SWEDEN	8	75.0%	0.25
52	J.Barrera	🇨🇴 COLOMBIA	4	75.0%	0.25
53	R.Benin-Barr	🇮🇱 ISRAEL	8	75.0%	0.38
54	K.Bogo	🇳🇴 NORWAY	11	72.7%	0.27
55	T.Ramani	🇮🇳 INDIA	11	72.7%	0.36
56	I.Bareket	🇮🇱 ISRAEL	14	71.4%	0.36
57	M.Gold	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	7	71.4%	0.43
58	D.Korbel	🇺🇸 U.S.A.	10	70.0%	0.30
59	B.Cronier	🇫🇷 FRANCE	13	69.2%	0.46
60	N.Bekkouche	🇩🇰 DENMARK	6	66.7%	0.33
61	H.Khandelwal	🇮🇳 INDIA	3	66.7%	0.33
62	K.Asplund	🇸🇪 SWEDEN	6	66.7%	0.67
63	F.Danielsen	🇩🇰 DENMARK	9	66.7%	0.89
64	E.Fisher	🇳🇿 NEW ZEALAND	8	62.5%	0.62
65	V.Zoric	🇭🇷 CROATIA	21	61.9%	0.48
66	Y.Zack	🇮🇱 ISRAEL	18	61.1%	0.50
67	W.Lai	🇭🇰 HONG KONG CHINA	5	60.0%	0.40
68	B.Fisher	🇳🇿 NEW ZEALAND	10	60.0%	0.60
69	J.Ochoa	🇨🇴 COLOMBIA	5	60.0%	0.60
70	S.Zhang	🇺🇸 U.S.A.	18	55.6%	0.44
71	G.Osborne	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	2	50.0%	0.50
72	K.Mak	🇭🇰 HONG KONG CHINA	4	50.0%	0.50
73	F.Jarlvik	🇸🇪 SWEDEN	4	50.0%	0.50
74	K.Martensen-Larsen	🇩🇰 DENMARK	4	50.0%	0.50
75	L.Madueno	🇨🇴 COLOMBIA	8	50.0%	0.50
76	A.Rolf-Larsen	🇩🇰 DENMARK	4	50.0%	0.75
77	Y.Lu	🇨🇳 CHINA	16	50.0%	0.88
78	S.Tommasini	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	7	42.9%	0.86
79	B.Kohli	🇮🇳 INDIA	7	42.9%	0.86
80	J.Castillo	🇨🇴 COLOMBIA	10	40.0%	0.70
81	R.Khandelwal	🇮🇳 INDIA	3	33.3%	0.67
82	B.Jones	🇳🇿 NEW ZEALAND	5	20.0%	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	A.Asulin	🇮🇱 ISRAEL	28	92.9%	0.11
2	R.Pachtman	🇮🇱 ISRAEL	28	92.9%	0.11
3	P.Marcinowski	🇵🇱 POLAND	92	89.1%	0.20
4	J.Zmuda	🇵🇱 POLAND	92	89.1%	0.20
5	L.Cima	🇮🇹 ITALY	53	88.7%	0.13
6	B.Dessi	🇮🇹 ITALY	53	88.7%	0.13
7	D.Attanasio	🇮🇹 ITALY	34	88.2%	0.15
8	G.Manara	🇮🇹 ITALY	34	88.2%	0.15
9	C.Froehner	🇩🇪 GERMANY	84	85.7%	0.18
10	P.Nehmert	🇩🇪 GERMANY	84	85.7%	0.18
11	M.Hutyra	🇵🇱 POLAND	14	85.7%	0.21
12	D.Kazmucha	🇵🇱 POLAND	14	85.7%	0.21
13	K.Dufrat	🇵🇱 POLAND	62	85.5%	0.14
14	P.Zatorski	🇵🇱 POLAND	62	85.5%	0.14
15	Y.Sun	🇨🇳 CHINA	67	85.1%	0.18
16	Y.Liu	🇨🇳 CHINA	77	84.4%	0.21
17	I.Baroni	🇮🇹 ITALY	68	83.8%	0.19
18	A.Gandoglia	🇮🇹 ITALY	68	83.8%	0.19
19	Y.Chen	🇨🇳 CHINA	76	82.9%	0.17
20	B.Fu	🇨🇳 CHINA	76	82.9%	0.17
21	N.Heiberg-Evenstad	🇳🇴 NORWAY	52	82.7%	0.21
22	S.Sjodal	🇳🇴 NORWAY	52	82.7%	0.21
23	S.Auken	🇩🇪 GERMANY	34	79.4%	0.27
24	R.Welland	🇩🇪 GERMANY	34	79.4%	0.27
25	R.Sivertsvik	🇳🇴 NORWAY	21	66.7%	0.38
26	P.Schmidt	🇫🇷 FRANCE	8	100.0%	0.00
27	J.Zochowska	🇫🇷 FRANCE	8	100.0%	0.00
28	B.Jones	🇳🇿 NEW ZEALAND	7	100.0%	0.00
29	J.Millington	🇳🇿 NEW ZEALAND	7	100.0%	0.00
30	G.Hampson	🇺🇸 U.S.A.	18	94.4%	0.11
31	J.Seamon-Molson	🇺🇸 U.S.A.	18	94.4%	0.11
32	B.Fisher	🇳🇿 NEW ZEALAND	12	91.7%	0.08
33	E.Fisher	🇳🇿 NEW ZEALAND	12	91.7%	0.08
34	J.Castillo	🇨🇴 COLOMBIA	12	91.7%	0.08
35	L.Madueno	🇨🇴 COLOMBIA	12	91.7%	0.08
36	M.Drogemuller	🇩🇰 DENMARK	9	88.9%	0.11
37	A.Rolf-Larsen	🇩🇰 DENMARK	9	88.9%	0.11
38	F.Jarlvik	🇸🇪 SWEDEN	18	88.9%	0.11
39	T.Trendafilova	🇸🇪 SWEDEN	18	88.9%	0.11
40	H.Khandelwal	🇮🇳 INDIA	9	88.9%	0.11
41	R.Khandelwal	🇮🇳 INDIA	9	88.9%	0.11
42	K.Mak	🇭🇰 HONG KONG CHINA	17	88.2%	0.12
43	T.Tang	🇭🇰 HONG KONG CHINA	17	88.2%	0.12
44	V.Reess	🇫🇷 FRANCE	42	88.1%	0.14
45	L.Thuillez	🇫🇷 FRANCE	42	88.1%	0.14
46	A.Gladiator	🇩🇪 GERMANY	40	87.5%	0.12
47	M.Gromoeller	🇩🇪 GERMANY	40	87.5%	0.12
48	M.Gold	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	16	87.5%	0.12
49	S.Tommasini	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	16	87.5%	0.12
50	K.Nadar	🇮🇳 INDIA	8	87.5%	0.12
51	B.Satyanarayana	🇮🇳 INDIA	8	87.5%	0.12
52	I.Bareket	🇮🇱 ISRAEL	21	85.7%	0.14
53	N.Saada	🇮🇱 ISRAEL	21	85.7%	0.14
54	N.Sver	🇭🇷 CROATIA	28	85.7%	0.14
55	V.Zoric	🇭🇷 CROATIA	28	85.7%	0.14
56	E.Wold	🇺🇸 U.S.A.	38	84.2%	0.26
57	S.Zhang	🇺🇸 U.S.A.	38	84.2%	0.26
58	D.Korbel	🇺🇸 U.S.A.	24	83.3%	0.17
59	S.Shi	🇺🇸 U.S.A.	24	83.3%	0.17
60	K.Asplund	🇸🇪 SWEDEN	17	82.4%	0.18
61	S.Asplund Sivelind	🇸🇪 SWEDEN	17	82.4%	0.18
62	W.Lai	🇭🇰 HONG KONG CHINA	16	81.2%	0.19
63	W.Wang	🇭🇰 HONG KONG CHINA	16	81.2%	0.19
64	B.Cronier	🇫🇷 FRANCE	20	80.0%	0.20
65	P.Cronier	🇫🇷 FRANCE	20	80.0%	0.20
66	S.Evenstad	🇳🇴 NORWAY	10	80.0%	0.20
67	Y.Lu	🇨🇳 CHINA	25	76.0%	0.32
68	Y.Kuang	🇨🇳 CHINA	15	73.3%	0.27
69	N.Bekkouche	🇩🇰 DENMARK	15	73.3%	0.27
70	F.Danielsen	🇩🇰 DENMARK	15	73.3%	0.27
71	K.Martensen-Larsen	🇩🇰 DENMARK	11	72.7%	0.27
72	F.Poulsen	🇩🇰 DENMARK	11	72.7%	0.27
73	F.Hinden	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	7	71.4%	0.29
74	G.Osborne	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	7	71.4%	0.29
75	D.Nettleton	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	7	71.4%	0.29
76	B.Norton	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	7	71.4%	0.29
77	J.Barrera	🇨🇴 COLOMBIA	6	66.7%	0.33
78	J.Ochoa	🇨🇴 COLOMBIA	6	66.7%	0.33
79	B.Kohli	🇮🇳 INDIA	12	66.7%	0.42
80	T.Ramani	🇮🇳 INDIA	12	66.7%	0.42
81	R.Benin-Barr	🇮🇱 ISRAEL	20	65.0%	0.40
82	Y.Zack	🇮🇱 ISRAEL	20	65.0%	0.40
83	K.Bogo	🇳🇴 NORWAY	11	54.5%	0.55

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	Y.Liu	🇨🇳 CHINA	1012	487	48.1%
2	I.Baroni	🇮🇹 ITALY	710	341	48.0%
3	R.Pachtman	🇮🇱 ISRAEL	388	179	46.1%
4	S.Auken	🇩🇪 GERMANY	775	352	45.4%
5	A.Gandoglia	🇮🇹 ITALY	716	323	45.1%
6	L.Cima	🇮🇹 ITALY	625	281	45.0%
7	D.Kazmucha	🇵🇱 POLAND	503	226	44.9%
8	J.Zmuda	🇵🇱 POLAND	802	359	44.8%
9	R.Welland	🇩🇪 GERMANY	770	345	44.8%
10	D.Attanasio	🇮🇹 ITALY	435	195	44.8%
11	B.Dessi	🇮🇹 ITALY	637	280	44.0%
12	N.Heiberg-Evenstad	🇳🇴 NORWAY	455	200	44.0%
13	Y.Sun	🇨🇳 CHINA	822	361	43.9%
14	P.Marcinowski	🇵🇱 POLAND	798	350	43.9%
15	B.Fu	🇨🇳 CHINA	843	368	43.7%
16	S.Sjodal	🇳🇴 NORWAY	442	193	43.7%
17	Y.Chen	🇨🇳 CHINA	843	355	42.1%
18	P.Zatorski	🇵🇱 POLAND	656	274	41.8%
19	R.Sivertsvik	🇳🇴 NORWAY	422	176	41.7%
20	M.Hutyra	🇵🇱 POLAND	510	211	41.4%
21	A.Asulin	🇮🇱 ISRAEL	396	162	40.9%
22	G.Manara	🇮🇹 ITALY	435	176	40.5%
23	K.Dufrat	🇵🇱 POLAND	666	268	40.2%
24	P.Nehmert	🇩🇪 GERMANY	534	195	36.5%
25	C.Froehner	🇩🇪 GERMANY	544	194	35.7%
26	T.Ramani	🇮🇳 INDIA	84	46	54.8%
27	B.Fisher	🇳🇿 NEW ZEALAND	86	47	54.7%
28	E.Fisher	🇳🇿 NEW ZEALAND	91	48	52.7%
29	J.Castillo	🇨🇴 COLOMBIA	84	44	52.4%
30	Y.Lu	🇨🇳 CHINA	367	181	49.3%
31	L.Madueno	🇨🇴 COLOMBIA	88	43	48.9%
32	F.Hinden	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	140	68	48.6%
33	F.Danielsen	🇩🇰 DENMARK	132	64	48.5%
34	B.Kohli	🇮🇳 INDIA	84	40	47.6%
35	G.Osborne	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	139	66	47.5%
36	C.Ahlesved	🇸🇪 SWEDEN	133	63	47.4%
37	L.Thuillez	🇫🇷 FRANCE	288	136	47.2%
38	K.Bogo	🇳🇴 NORWAY	225	106	47.1%
39	K.Mak	🇭🇰 HONG KONG CHINA	175	81	46.3%
40	D.Nettleton	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	81	37	45.7%
41	T.Tang	🇭🇰 HONG KONG CHINA	174	79	45.4%
42	M.Gromoeller	🇩🇪 GERMANY	356	161	45.2%
43	N.Bekkouche	🇩🇰 DENMARK	133	60	45.1%
44	J.Ochoa	🇨🇴 COLOMBIA	98	44	44.9%
45	V.Zoric	🇭🇷 CROATIA	183	82	44.8%
46	S.Shi	🇺🇸 U.S.A.	375	167	44.5%
47	G.Hampson	🇺🇸 U.S.A.	310	137	44.2%
48	N.Sver	🇭🇷 CROATIA	179	79	44.1%
49	K.Ahlesved	🇸🇪 SWEDEN	136	60	44.1%
50	D.Korbel	🇺🇸 U.S.A.	382	168	44.0%
51	P.Cronier	🇫🇷 FRANCE	317	139	43.8%
52	T.Trendafilova	🇸🇪 SWEDEN	83	36	43.4%
53	E.Wold	🇺🇸 U.S.A.	203	88	43.3%
54	S.Zhang	🇺🇸 U.S.A.	206	89	43.2%
55	A.Gladiator	🇩🇪 GERMANY	357	154	43.1%
56	M.Drogemuller	🇩🇰 DENMARK	128	55	43.0%
57	W.Wang	🇭🇰 HONG KONG CHINA	177	76	42.9%
58	B.Norton	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	84	36	42.9%
59	B.Cronier	🇫🇷 FRANCE	315	134	42.5%
60	J.Seamon-Molson	🇺🇸 U.S.A.	317	130	41.0%
61	J.Barrera	🇨🇴 COLOMBIA	98	40	40.8%
62	W.Lai	🇭🇰 HONG KONG CHINA	177	72	40.7%
63	K.Asplund	🇸🇪 SWEDEN	135	55	40.7%
64	F.Jarlvik	🇸🇪 SWEDEN	86	35	40.7%
65	B.Jones	🇳🇿 NEW ZEALAND	84	34	40.5%
66	R.Khandelwal	🇮🇳 INDIA	145	58	40.0%
67	R.Benin-Barr	🇮🇱 ISRAEL	125	50	40.0%
68	H.Khandelwal	🇮🇳 INDIA	143	57	39.9%
69	S.Evenstad	🇳🇴 NORWAY	201	80	39.8%
70	N.Saada	🇮🇱 ISRAEL	353	139	39.4%
71	A.Rolf-Larsen	🇩🇰 DENMARK	127	50	39.4%
72	P.Schmidt	🇫🇷 FRANCE	257	101	39.3%
73	J.Millington	🇳🇿 NEW ZEALAND	84	33	39.3%
74	K.Martensen-Larsen	🇩🇰 DENMARK	82	32	39.0%
75	V.Reess	🇫🇷 FRANCE	296	114	38.5%
76	I.Bareket	🇮🇱 ISRAEL	359	138	38.4%
77	Y.Zack	🇮🇱 ISRAEL	129	49	38.0%
78	M.Gold	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	121	46	38.0%
79	S.Asplund Sivelind	🇸🇪 SWEDEN	138	51	37.0%
80	K.Nadar	🇮🇳 INDIA	135	50	37.0%
81	B.Satyanarayana	🇮🇳 INDIA	134	49	36.6%
82	P.Carter	🇳🇿 NEW ZEALAND	93	34	36.6%
83	J.Zochowska	🇫🇷 FRANCE	255	91	35.7%
84	M.Mestric	🇭🇷 CROATIA	42	15	35.7%
85	J.Atkinson	🇳🇿 NEW ZEALAND	91	32	35.2%
86	Y.Kuang	🇨🇳 CHINA	177	62	35.0%
87	T.Brkljacic	🇭🇷 CROATIA	40	14	35.0%
88	C.Hoyos	🇨🇴 COLOMBIA	96	33	34.4%
89	M.Pilipovic	🇭🇷 CROATIA	138	47	34.1%
90	D.Bernal	🇨🇴 COLOMBIA	95	32	33.7%
91	S.Tommasini	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	123	41	33.3%
92	F.Poulsen	🇩🇰 DENMARK	89	29	32.6%
93	D.Diklic	🇭🇷 CROATIA	140	43	30.7%

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.Sun	🇨🇳 CHINA	285	+0.30	+0.32	+0.62	▲10
2	A.Asulin	🇮🇱 ISRAEL	141	-0.03	+0.52	+0.49	▲1
3	R.Pachtman	🇮🇱 ISRAEL	141	-0.03	+0.52	+0.49	▲1
4	Y.Chen	🇨🇳 CHINA	285	+0.13	+0.34	+0.47	▲5
5	B.Fu	🇨🇳 CHINA	285	+0.13	+0.34	+0.47	▲5
6	I.Baroni	🇮🇹 ITALY	236	+0.20	+0.21	+0.41	▲6
7	A.Gandoglia	🇮🇹 ITALY	236	+0.20	+0.21	+0.41	▲6
8	P.Marcinowski	🇵🇱 POLAND	270	-0.09	+0.46	+0.37	▼3
9	J.Zmuda	🇵🇱 POLAND	270	-0.09	+0.46	+0.37	▼3
10	Y.Liu	🇨🇳 CHINA	348	+0.36	-0.10	+0.27	▲10
11	S.Auken	🇩🇪 GERMANY	253	-0.30	+0.55	+0.25	▼10
12	R.Welland	🇩🇪 GERMANY	253	-0.30	+0.55	+0.25	▼10
13	K.Dufrat	🇵🇱 POLAND	222	-0.18	+0.37	+0.19	▼6
14	P.Zatorski	🇵🇱 POLAND	222	-0.18	+0.37	+0.19	▼6
15	L.Cima	🇮🇹 ITALY	206	+0.11	+0.03	+0.14	▲3
16	B.Dessi	🇮🇹 ITALY	206	+0.11	+0.03	+0.14	▲3
17	C.Froehner	🇩🇪 GERMANY	190	-0.14	+0.17	+0.03	▼1
18	P.Nehmert	🇩🇪 GERMANY	190	-0.14	+0.17	+0.03	▼1
19	M.Hutyra	🇵🇱 POLAND	174	-0.18	+0.20	+0.02	▼5
20	D.Kazmucha	🇵🇱 POLAND	174	-0.18	+0.20	+0.02	▼5
21	N.Heiberg-Evenstad	🇳🇴 NORWAY	156	+0.15	-0.19	-0.04	·
22	S.Sjodal	🇳🇴 NORWAY	156	+0.15	-0.19	-0.04	·
23	D.Attanasio	🇮🇹 ITALY	158	+0.13	-0.30	-0.17	▲1
24	G.Manara	🇮🇹 ITALY	158	+0.13	-0.30	-0.17	▲1
25	R.Sivertsvik	🇳🇴 NORWAY	156	+0.05	-0.24	-0.19	▼2

Stages

Statistics

Tables