Istanbul 2014 — 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	B.Fu	🇨🇳 CHINA	140	+1.54	+216.0
2	H.Li	🇨🇳 CHINA	140	+1.54	+216.0
3	E.Moskovsky	🇦🇺 AUSTRALIA	168	+1.30	+219.0
4	L.Travis	🇦🇺 AUSTRALIA	168	+1.30	+219.0
5	A.Jarosz	🇵🇱 POLAND	126	+1.13	+142.0
6	J.Zmuda	🇵🇱 POLAND	126	+1.13	+142.0
7	N.Banas	🇳🇱 NETHERLANDS	84	+1.11	+93.0
8	C.Groenland	🇳🇱 NETHERLANDS	84	+1.11	+93.0
9	M.Chavarria	🇮🇹 ITALY	112	+1.00	+112.0
10	M.Salvato	🇮🇹 ITALY	112	+1.00	+112.0
11	A.Huberschwiller	🇫🇷 FRANCE	126	+0.96	+121.0
12	J.Mourgues	🇫🇷 FRANCE	126	+0.96	+121.0
13	G.Botta	🇮🇹 ITALY	126	+0.88	+111.0
14	M.Costa	🇮🇹 ITALY	126	+0.88	+111.0
15	A.Tebha	🇺🇸 USA	140	+0.76	+106.0
16	L.Leufkens	🇳🇱 NETHERLANDS	140	+0.66	+92.0
17	M.Ticha	🇳🇱 NETHERLANDS	140	+0.66	+92.0
18	L.Ersek	🇭🇺 HUNGARY	168	+0.65	+110.0
19	B.Fischer	🇭🇺 HUNGARY	168	+0.65	+110.0
20	R.Wernis	🇺🇸 USA	126	+0.58	+73.0
21	J.Arbit	🇺🇸 USA	154	+0.51	+78.0
22	J.De Tessieres	🇫🇷 FRANCE	126	+0.37	+47.0
23	A.Thizy	🇫🇷 FRANCE	126	+0.37	+47.0
24	C.Burgio	🇮🇹 ITALY	98	+0.35	+34.0
25	F.Butto	🇮🇹 ITALY	98	+0.35	+34.0
26	Q.Wu	🇨🇳 CHINA	154	+0.19	+29.0
27	B.Zhao	🇨🇳 CHINA	154	+0.19	+29.0
28	M.Klingen	🇳🇴 NORWAY	112	+0.16	+18.0
29	Z.Baldysz	🇵🇱 POLAND	84	+0.15	+13.0
30	A.Maduzia	🇵🇱 POLAND	84	+0.15	+13.0
31	K.Fuller	🇦🇺 AUSTRALIA	98	+0.15	+15.0
32	E.Pattison	🇦🇺 AUSTRALIA	98	+0.15	+15.0
33	O.Dlugosz	🇵🇱 POLAND	126	+0.14	+18.0
34	A.Szczypczyk	🇵🇱 POLAND	126	+0.14	+18.0
35	M.Linz	🇺🇸 USA	98	+0.13	+13.0
36	T.Hauge	🇳🇴 NORWAY	126	+0.13	+16.0
37	O.Seker	🇹🇷 TURKEY	168	+0.11	+19.0
38	B.Uskup	🇹🇷 TURKEY	168	+0.11	+19.0
39	K.Chen	🇹🇼 CHINESE TAIPEI	140	+0.08	+11.0
40	Y.Chiu	🇹🇼 CHINESE TAIPEI	140	+0.08	+11.0
41	T.Indrebo	🇳🇴 NORWAY	98	+0.07	+7.0
42	A.Leleu	🇫🇷 FRANCE	84	+0.05	+4.0
43	M.Thuillez	🇫🇷 FRANCE	84	+0.05	+4.0
44	M.Bruijnsteen	🇳🇱 NETHERLANDS	112	-0.04	-4.0
45	D.Van Delft	🇳🇱 NETHERLANDS	112	-0.04	-4.0
46	H.Ozsema	🇹🇷 TURKEY	140	-0.11	-16.0
47	T.Tugrul	🇹🇷 TURKEY	140	-0.11	-16.0
48	C.Mikkelsen	🇳🇴 NORWAY	98	-0.28	-27.0
49	I.Thapa	🇺🇸 USA	98	-0.34	-33.0
50	H.Yang	🇹🇼 CHINESE TAIPEI	98	-0.40	-39.0
51	W.Yao	🇹🇼 CHINESE TAIPEI	98	-0.40	-39.0
52	H.Tsou	🇹🇼 CHINESE TAIPEI	98	-0.52	-51.0
53	M.Tsou	🇹🇼 CHINESE TAIPEI	98	-0.52	-51.0
54	Z.Beko	🇭🇺 HUNGARY	98	-0.61	-60.0
55	SRIDAR HINDU SREE	🇮🇳 INDIA	168	-0.62	-104.0
56	SRIDAR JAYASHREE	🇮🇳 INDIA	168	-0.62	-104.0
57	A.Fischer	🇭🇺 HUNGARY	168	-0.68	-115.0
58	SATHE SHRUTI	🇮🇳 INDIA	168	-0.71	-120.0
59	VORA NIYATI	🇮🇳 INDIA	168	-0.71	-120.0
60	S.Sjodal	🇳🇴 NORWAY	112	-0.96	-108.0
61	S.Froyse	🇳🇴 NORWAY	126	-1.14	-144.0
62	K.Diporo	BOTSWANA	154	-2.21	-340.0
63	O.Molome	BOTSWANA	154	-2.27	-349.0
64	O.Gaolatlhwe	BOTSWANA	84	-2.45	-206.0
65	T.Caiphus	BOTSWANA	140	-2.66	-372.0
66	A.Badi	BOTSWANA	140	-2.66	-373.0
67	O.Engin	🇹🇷 TURKEY	28	-0.29	-8.0
68	N.Ozecoglu	🇹🇷 TURKEY	28	-0.29	-8.0
69	M.Beko	🇭🇺 HUNGARY	70	-0.79	-55.0
70	L.Chen	🇨🇳 CHINA	42	-0.83	-35.0
71	X.Li	🇨🇳 CHINA	42	-0.83	-35.0
72	J.Brake	🇦🇺 AUSTRALIA	70	-0.87	-61.0
73	R.Cooper	🇦🇺 AUSTRALIA	70	-0.87	-61.0
74	A.Ladyzhensky	🇺🇸 USA	56	-1.16	-65.0

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.Costa	🇮🇹 ITALY	30	96.7%	0.07
2	M.Klingen	🇳🇴 NORWAY	28	96.4%	0.04
3	J.Zmuda	🇵🇱 POLAND	25	96.0%	0.04
4	R.Wernis	🇺🇸 USA	31	93.5%	0.07
5	B.Fischer	🇭🇺 HUNGARY	46	91.3%	0.09
6	I.Thapa	🇺🇸 USA	22	90.9%	0.14
7	C.Groenland	🇳🇱 NETHERLANDS	20	90.0%	0.10
8	B.Fu	🇨🇳 CHINA	36	88.9%	0.17
9	O.Dlugosz	🇵🇱 POLAND	35	88.6%	0.11
10	M.Tsou	🇹🇼 CHINESE TAIPEI	25	88.0%	0.12
11	Z.Beko	🇭🇺 HUNGARY	24	87.5%	0.12
12	E.Pattison	🇦🇺 AUSTRALIA	24	87.5%	0.17
13	A.Leleu	🇫🇷 FRANCE	16	87.5%	0.25
14	C.Mikkelsen	🇳🇴 NORWAY	22	86.4%	0.14
15	Z.Baldysz	🇵🇱 POLAND	22	86.4%	0.18
16	L.Travis	🇦🇺 AUSTRALIA	57	86.0%	0.14
17	F.Butto	🇮🇹 ITALY	28	85.7%	0.25
18	T.Tugrul	🇹🇷 TURKEY	34	85.3%	0.15
19	O.Seker	🇹🇷 TURKEY	33	84.8%	0.15
20	Y.Chiu	🇹🇼 CHINESE TAIPEI	26	84.6%	0.15
21	J.De Tessieres	🇫🇷 FRANCE	32	84.4%	0.16
22	SATHE SHRUTI	🇮🇳 INDIA	45	84.4%	0.16
23	E.Moskovsky	🇦🇺 AUSTRALIA	25	84.0%	0.16
24	L.Leufkens	🇳🇱 NETHERLANDS	31	83.9%	0.19
25	A.Thizy	🇫🇷 FRANCE	30	83.3%	0.17
26	J.Mourgues	🇫🇷 FRANCE	36	83.3%	0.22
27	H.Ozsema	🇹🇷 TURKEY	36	83.3%	0.22
28	M.Salvato	🇮🇹 ITALY	34	82.4%	0.21
29	J.Arbit	🇺🇸 USA	38	81.6%	0.24
30	S.Sjodal	🇳🇴 NORWAY	32	81.2%	0.34
31	VORA NIYATI	🇮🇳 INDIA	42	81.0%	0.38
32	B.Zhao	🇨🇳 CHINA	36	80.6%	0.22
33	N.Banas	🇳🇱 NETHERLANDS	25	80.0%	0.20
34	A.Badi	BOTSWANA	30	80.0%	0.23
35	A.Huberschwiller	🇫🇷 FRANCE	20	80.0%	0.25
36	A.Szczypczyk	🇵🇱 POLAND	29	79.3%	0.21
37	M.Linz	🇺🇸 USA	29	79.3%	0.21
38	M.Chavarria	🇮🇹 ITALY	29	79.3%	0.24
39	Q.Wu	🇨🇳 CHINA	33	78.8%	0.24
40	A.Fischer	🇭🇺 HUNGARY	42	78.6%	0.29
41	H.Yang	🇹🇼 CHINESE TAIPEI	28	78.6%	0.39
42	M.Ticha	🇳🇱 NETHERLANDS	41	78.0%	0.22
43	O.Molome	BOTSWANA	36	77.8%	0.25
44	K.Fuller	🇦🇺 AUSTRALIA	27	77.8%	0.26
45	H.Tsou	🇹🇼 CHINESE TAIPEI	18	77.8%	0.28
46	A.Jarosz	🇵🇱 POLAND	40	77.5%	0.23
47	S.Froyse	🇳🇴 NORWAY	31	77.4%	0.23
48	T.Indrebo	🇳🇴 NORWAY	22	77.3%	0.23
49	SRIDAR HINDU SREE	🇮🇳 INDIA	48	77.1%	0.25
50	T.Hauge	🇳🇴 NORWAY	26	76.9%	0.31
51	B.Uskup	🇹🇷 TURKEY	51	76.5%	0.28
52	G.Botta	🇮🇹 ITALY	25	76.0%	0.24
53	C.Burgio	🇮🇹 ITALY	24	75.0%	0.25
54	A.Tebha	🇺🇸 USA	43	74.4%	0.28
55	SRIDAR JAYASHREE	🇮🇳 INDIA	35	74.3%	0.29
56	H.Li	🇨🇳 CHINA	38	73.7%	0.29
57	M.Bruijnsteen	🇳🇱 NETHERLANDS	30	73.3%	0.37
58	L.Ersek	🇭🇺 HUNGARY	36	72.2%	0.36
59	W.Yao	🇹🇼 CHINESE TAIPEI	21	71.4%	0.33
60	K.Chen	🇹🇼 CHINESE TAIPEI	41	70.7%	0.29
61	O.Gaolatlhwe	BOTSWANA	23	69.6%	0.30
62	K.Diporo	BOTSWANA	48	68.8%	0.38
63	M.Thuillez	🇫🇷 FRANCE	28	67.9%	0.46
64	T.Caiphus	BOTSWANA	34	64.7%	0.50
65	D.Van Delft	🇳🇱 NETHERLANDS	27	63.0%	0.41
66	A.Maduzia	🇵🇱 POLAND	19	47.4%	0.58
67	N.Ozecoglu	🇹🇷 TURKEY	6	100.0%	0.00
68	L.Chen	🇨🇳 CHINA	10	100.0%	0.00
69	R.Cooper	🇦🇺 AUSTRALIA	10	80.0%	0.30
70	M.Beko	🇭🇺 HUNGARY	19	78.9%	0.26
71	A.Ladyzhensky	🇺🇸 USA	4	75.0%	0.25
72	X.Li	🇨🇳 CHINA	11	72.7%	0.36
73	O.Engin	🇹🇷 TURKEY	7	71.4%	0.29
74	J.Brake	🇦🇺 AUSTRALIA	26	65.4%	0.39

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	M.Klingen	🇳🇴 NORWAY	20	95.0%	0.10
2	Q.Wu	🇨🇳 CHINA	38	89.5%	0.16
3	J.De Tessieres	🇫🇷 FRANCE	32	87.5%	0.12
4	G.Botta	🇮🇹 ITALY	33	84.8%	0.15
5	J.Zmuda	🇵🇱 POLAND	30	83.3%	0.23
6	B.Zhao	🇨🇳 CHINA	47	83.0%	0.21
7	L.Travis	🇦🇺 AUSTRALIA	41	80.5%	0.22
8	E.Moskovsky	🇦🇺 AUSTRALIA	45	80.0%	0.22
9	M.Tsou	🇹🇼 CHINESE TAIPEI	24	79.2%	0.25
10	H.Li	🇨🇳 CHINA	33	78.8%	0.21
11	A.Leleu	🇫🇷 FRANCE	14	78.6%	0.21
12	M.Ticha	🇳🇱 NETHERLANDS	14	78.6%	0.29
13	A.Huberschwiller	🇫🇷 FRANCE	37	78.4%	0.24
14	N.Banas	🇳🇱 NETHERLANDS	18	77.8%	0.22
15	A.Maduzia	🇵🇱 POLAND	18	77.8%	0.22
16	K.Fuller	🇦🇺 AUSTRALIA	26	76.9%	0.27
17	D.Van Delft	🇳🇱 NETHERLANDS	30	76.7%	0.27
18	E.Pattison	🇦🇺 AUSTRALIA	21	76.2%	0.33
19	I.Thapa	🇺🇸 USA	29	75.9%	0.24
20	C.Groenland	🇳🇱 NETHERLANDS	20	75.0%	0.25
21	SRIDAR JAYASHREE	🇮🇳 INDIA	40	75.0%	0.30
22	A.Jarosz	🇵🇱 POLAND	28	75.0%	0.36
23	A.Tebha	🇺🇸 USA	51	74.5%	0.26
24	A.Fischer	🇭🇺 HUNGARY	35	74.3%	0.34
25	Z.Beko	🇭🇺 HUNGARY	31	74.2%	0.42
26	A.Szczypczyk	🇵🇱 POLAND	27	74.1%	0.30
27	L.Leufkens	🇳🇱 NETHERLANDS	54	74.1%	0.32
28	M.Chavarria	🇮🇹 ITALY	23	73.9%	0.30
29	Y.Chiu	🇹🇼 CHINESE TAIPEI	38	73.7%	0.32
30	F.Butto	🇮🇹 ITALY	26	73.1%	0.39
31	M.Salvato	🇮🇹 ITALY	26	73.1%	0.39
32	O.Dlugosz	🇵🇱 POLAND	33	72.7%	0.27
33	B.Fischer	🇭🇺 HUNGARY	40	72.5%	0.28
34	H.Tsou	🇹🇼 CHINESE TAIPEI	29	72.4%	0.38
35	J.Arbit	🇺🇸 USA	32	71.9%	0.31
36	M.Bruijnsteen	🇳🇱 NETHERLANDS	24	70.8%	0.38
37	H.Ozsema	🇹🇷 TURKEY	37	70.3%	0.38
38	A.Thizy	🇫🇷 FRANCE	30	70.0%	0.30
39	J.Mourgues	🇫🇷 FRANCE	33	69.7%	0.39
40	L.Ersek	🇭🇺 HUNGARY	46	69.6%	0.30
41	O.Seker	🇹🇷 TURKEY	42	69.0%	0.50
42	S.Froyse	🇳🇴 NORWAY	34	67.6%	0.47
43	T.Hauge	🇳🇴 NORWAY	43	67.4%	0.40
44	M.Thuillez	🇫🇷 FRANCE	24	66.7%	0.50
45	S.Sjodal	🇳🇴 NORWAY	30	66.7%	0.50
46	H.Yang	🇹🇼 CHINESE TAIPEI	20	65.0%	0.45
47	C.Burgio	🇮🇹 ITALY	20	65.0%	0.55
48	M.Costa	🇮🇹 ITALY	34	64.7%	0.38
49	VORA NIYATI	🇮🇳 INDIA	39	64.1%	0.46
50	Z.Baldysz	🇵🇱 POLAND	25	64.0%	0.44
51	SRIDAR HINDU SREE	🇮🇳 INDIA	44	63.6%	0.39
52	C.Mikkelsen	🇳🇴 NORWAY	24	62.5%	0.46
53	B.Uskup	🇹🇷 TURKEY	42	61.9%	0.45
54	T.Tugrul	🇹🇷 TURKEY	33	60.6%	0.48
55	B.Fu	🇨🇳 CHINA	32	59.4%	0.50
56	R.Wernis	🇺🇸 USA	29	58.6%	0.55
57	K.Chen	🇹🇼 CHINESE TAIPEI	33	57.6%	0.52
58	M.Linz	🇺🇸 USA	23	56.5%	0.56
59	T.Indrebo	🇳🇴 NORWAY	23	56.5%	0.61
60	O.Molome	BOTSWANA	37	54.1%	0.78
61	SATHE SHRUTI	🇮🇳 INDIA	41	51.2%	0.63
62	T.Caiphus	BOTSWANA	43	48.8%	0.88
63	W.Yao	🇹🇼 CHINESE TAIPEI	29	48.3%	0.76
64	A.Badi	BOTSWANA	34	47.1%	0.94
65	K.Diporo	BOTSWANA	34	41.2%	1.03
66	O.Gaolatlhwe	BOTSWANA	17	35.3%	1.12
67	A.Ladyzhensky	🇺🇸 USA	4	100.0%	0.00
68	O.Engin	🇹🇷 TURKEY	8	87.5%	0.12
69	N.Ozecoglu	🇹🇷 TURKEY	7	85.7%	0.29
70	L.Chen	🇨🇳 CHINA	7	85.7%	0.29
71	X.Li	🇨🇳 CHINA	14	71.4%	0.43
72	R.Cooper	🇦🇺 AUSTRALIA	18	61.1%	0.44
73	J.Brake	🇦🇺 AUSTRALIA	14	57.1%	0.57
74	M.Beko	🇭🇺 HUNGARY	17	47.1%	0.71

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	M.Bruijnsteen	🇳🇱 NETHERLANDS	57	93.0%	0.07
2	D.Van Delft	🇳🇱 NETHERLANDS	57	93.0%	0.07
3	B.Fu	🇨🇳 CHINA	74	91.9%	0.08
4	H.Li	🇨🇳 CHINA	74	91.9%	0.08
5	H.Yang	🇹🇼 CHINESE TAIPEI	49	91.8%	0.14
6	W.Yao	🇹🇼 CHINESE TAIPEI	49	91.8%	0.14
7	Q.Wu	🇨🇳 CHINA	69	91.3%	0.10
8	B.Zhao	🇨🇳 CHINA	69	91.3%	0.10
9	J.De Tessieres	🇫🇷 FRANCE	62	90.3%	0.11
10	A.Thizy	🇫🇷 FRANCE	62	90.3%	0.11
11	Z.Baldysz	🇵🇱 POLAND	41	90.2%	0.12
12	A.Maduzia	🇵🇱 POLAND	41	90.2%	0.12
13	Z.Beko	🇭🇺 HUNGARY	48	89.6%	0.15
14	M.Chavarria	🇮🇹 ITALY	63	88.9%	0.11
15	M.Salvato	🇮🇹 ITALY	63	88.9%	0.11
16	N.Banas	🇳🇱 NETHERLANDS	45	88.9%	0.16
17	C.Groenland	🇳🇱 NETHERLANDS	45	88.9%	0.16
18	A.Fischer	🇭🇺 HUNGARY	85	88.2%	0.15
19	A.Tebha	🇺🇸 USA	66	87.9%	0.17
20	A.Huberschwiller	🇫🇷 FRANCE	56	87.5%	0.12
21	J.Mourgues	🇫🇷 FRANCE	56	87.5%	0.12
22	G.Botta	🇮🇹 ITALY	55	87.3%	0.18
23	M.Costa	🇮🇹 ITALY	55	87.3%	0.18
24	E.Moskovsky	🇦🇺 AUSTRALIA	82	86.6%	0.18
25	L.Travis	🇦🇺 AUSTRALIA	82	86.6%	0.18
26	C.Burgio	🇮🇹 ITALY	52	86.5%	0.27
27	F.Butto	🇮🇹 ITALY	52	86.5%	0.27
28	M.Klingen	🇳🇴 NORWAY	51	86.3%	0.22
29	A.Jarosz	🇵🇱 POLAND	65	86.2%	0.14
30	J.Zmuda	🇵🇱 POLAND	65	86.2%	0.14
31	K.Chen	🇹🇼 CHINESE TAIPEI	67	85.1%	0.19
32	Y.Chiu	🇹🇼 CHINESE TAIPEI	67	85.1%	0.19
33	L.Leufkens	🇳🇱 NETHERLANDS	72	84.7%	0.15
34	M.Ticha	🇳🇱 NETHERLANDS	72	84.7%	0.15
35	T.Hauge	🇳🇴 NORWAY	57	84.2%	0.23
36	A.Leleu	🇫🇷 FRANCE	44	84.1%	0.20
37	M.Thuillez	🇫🇷 FRANCE	44	84.1%	0.20
38	O.Dlugosz	🇵🇱 POLAND	64	82.8%	0.25
39	A.Szczypczyk	🇵🇱 POLAND	64	82.8%	0.25
40	J.Arbit	🇺🇸 USA	75	82.7%	0.23
41	L.Ersek	🇭🇺 HUNGARY	82	81.7%	0.22
42	B.Fischer	🇭🇺 HUNGARY	82	81.7%	0.22
43	H.Tsou	🇹🇼 CHINESE TAIPEI	43	81.4%	0.23
44	M.Tsou	🇹🇼 CHINESE TAIPEI	43	81.4%	0.23
45	H.Ozsema	🇹🇷 TURKEY	70	81.4%	0.24
46	T.Tugrul	🇹🇷 TURKEY	70	81.4%	0.24
47	I.Thapa	🇺🇸 USA	48	81.2%	0.21
48	SRIDAR HINDU SREE	🇮🇳 INDIA	83	79.5%	0.27
49	SRIDAR JAYASHREE	🇮🇳 INDIA	83	79.5%	0.27
50	SATHE SHRUTI	🇮🇳 INDIA	87	79.3%	0.28
51	VORA NIYATI	🇮🇳 INDIA	87	79.3%	0.28
52	T.Indrebo	🇳🇴 NORWAY	48	79.2%	0.23
53	S.Sjodal	🇳🇴 NORWAY	57	78.9%	0.30
54	C.Mikkelsen	🇳🇴 NORWAY	47	78.7%	0.28
55	O.Seker	🇹🇷 TURKEY	84	78.6%	0.27
56	B.Uskup	🇹🇷 TURKEY	84	78.6%	0.27
57	S.Froyse	🇳🇴 NORWAY	62	77.4%	0.34
58	R.Wernis	🇺🇸 USA	66	75.8%	0.39
59	K.Fuller	🇦🇺 AUSTRALIA	51	74.5%	0.37
60	E.Pattison	🇦🇺 AUSTRALIA	51	74.5%	0.37
61	M.Linz	🇺🇸 USA	53	71.7%	0.47
62	O.Gaolatlhwe	BOTSWANA	43	69.8%	0.51
63	A.Badi	BOTSWANA	66	68.2%	0.42
64	O.Molome	BOTSWANA	84	67.9%	0.41
65	K.Diporo	BOTSWANA	85	65.9%	0.48
66	T.Caiphus	BOTSWANA	64	65.6%	0.45
67	A.Ladyzhensky	🇺🇸 USA	26	88.5%	0.12
68	M.Beko	🇭🇺 HUNGARY	37	86.5%	0.16
69	O.Engin	🇹🇷 TURKEY	13	84.6%	0.15
70	N.Ozecoglu	🇹🇷 TURKEY	13	84.6%	0.15
71	J.Brake	🇦🇺 AUSTRALIA	36	83.3%	0.19
72	R.Cooper	🇦🇺 AUSTRALIA	36	83.3%	0.19
73	L.Chen	🇨🇳 CHINA	21	71.4%	0.48
74	X.Li	🇨🇳 CHINA	21	71.4%	0.48

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	C.Burgio	🇮🇹 ITALY	98	-0.06	+1.20	+1.14	▲2
2	F.Butto	🇮🇹 ITALY	98	-0.06	+1.20	+1.14	▲2
3	G.Botta	🇮🇹 ITALY	126	+0.02	+1.05	+1.07	▲6
4	M.Costa	🇮🇹 ITALY	126	+0.02	+1.05	+1.07	▲6
5	A.Jarosz	🇵🇱 POLAND	126	-0.05	+1.11	+1.06	▲2
6	J.Zmuda	🇵🇱 POLAND	126	-0.05	+1.11	+1.06	▲2
7	E.Moskovsky	🇦🇺 AUSTRALIA	168	-0.03	+1.01	+0.98	▲4
8	L.Travis	🇦🇺 AUSTRALIA	168	-0.03	+1.01	+0.98	▲4
9	B.Fu	🇨🇳 CHINA	140	-0.19	+1.11	+0.92	▼4
10	H.Li	🇨🇳 CHINA	140	-0.19	+1.11	+0.92	▼4
11	M.Chavarria	🇮🇹 ITALY	112	+0.08	+0.83	+0.91	▲5
12	M.Salvato	🇮🇹 ITALY	112	+0.08	+0.83	+0.91	▲5
13	A.Huberschwiller	🇫🇷 FRANCE	126	+0.27	+0.58	+0.85	▲5
14	J.Mourgues	🇫🇷 FRANCE	126	+0.27	+0.58	+0.85	▲5
15	Q.Wu	🇨🇳 CHINA	154	-0.15	+0.94	+0.80	▼2
16	B.Zhao	🇨🇳 CHINA	154	-0.15	+0.94	+0.80	▼2
17	N.Banas	🇳🇱 NETHERLANDS	84	-0.45	+1.23	+0.77	▼16
18	C.Groenland	🇳🇱 NETHERLANDS	84	-0.45	+1.23	+0.77	▼16
19	M.Bruijnsteen	🇳🇱 NETHERLANDS	112	+0.20	+0.51	+0.71	▲8
20	D.Van Delft	🇳🇱 NETHERLANDS	112	+0.20	+0.51	+0.71	▲8
21	K.Chen	🇹🇼 CHINESE TAIPEI	140	+0.24	+0.37	+0.61	▲10
22	Y.Chiu	🇹🇼 CHINESE TAIPEI	140	+0.24	+0.37	+0.61	▲10
23	L.Leufkens	🇳🇱 NETHERLANDS	140	+0.08	+0.53	+0.61	·
24	M.Ticha	🇳🇱 NETHERLANDS	140	+0.08	+0.53	+0.61	·
25	A.Tebha	🇺🇸 USA	140	+0.01	+0.56	+0.58	▼5
26	J.De Tessieres	🇫🇷 FRANCE	126	-0.06	+0.55	+0.50	▼5
27	A.Thizy	🇫🇷 FRANCE	126	-0.06	+0.55	+0.50	▼5
28	J.Arbit	🇺🇸 USA	154	-0.41	+0.85	+0.44	▼13
29	K.Fuller	🇦🇺 AUSTRALIA	98	-0.15	+0.42	+0.27	·
30	E.Pattison	🇦🇺 AUSTRALIA	98	-0.15	+0.42	+0.27	·
31	O.Dlugosz	🇵🇱 POLAND	126	+0.26	+0.00	+0.26	▲12
32	A.Szczypczyk	🇵🇱 POLAND	126	+0.26	+0.00	+0.26	▲12
33	R.Wernis	🇺🇸 USA	126	+0.06	+0.08	+0.15	▲8
34	I.Thapa	🇺🇸 USA	98	-0.12	+0.18	+0.05	▲6
35	L.Ersek	🇭🇺 HUNGARY	168	-0.25	+0.27	+0.02	·
36	B.Fischer	🇭🇺 HUNGARY	168	-0.25	+0.27	+0.02	·
37	Z.Beko	🇭🇺 HUNGARY	98	+0.15	-0.13	+0.02	▲11
38	O.Seker	🇹🇷 TURKEY	168	-0.24	+0.26	+0.01	▼1
39	B.Uskup	🇹🇷 TURKEY	168	-0.24	+0.26	+0.01	▼1
40	A.Leleu	🇫🇷 FRANCE	84	-0.35	+0.35	+0.00	▼7
41	M.Thuillez	🇫🇷 FRANCE	84	-0.35	+0.35	+0.00	▼7
42	Z.Baldysz	🇵🇱 POLAND	84	-0.54	+0.53	-0.01	▼17
43	A.Maduzia	🇵🇱 POLAND	84	-0.54	+0.53	-0.01	▼17
44	SRIDAR HINDU SREE	🇮🇳 INDIA	168	+0.21	-0.29	-0.08	▲5
45	SRIDAR JAYASHREE	🇮🇳 INDIA	168	+0.21	-0.29	-0.08	▲5
46	M.Klingen	🇳🇴 NORWAY	112	-0.30	+0.20	-0.10	▼7
47	S.Sjodal	🇳🇴 NORWAY	112	+0.19	-0.31	-0.12	▲4
48	H.Ozsema	🇹🇷 TURKEY	140	+0.34	-0.47	-0.13	▲6
49	T.Tugrul	🇹🇷 TURKEY	140	+0.34	-0.47	-0.13	▲6
50	M.Linz	🇺🇸 USA	98	-0.16	-0.06	-0.22	▼3
51	A.Fischer	🇭🇺 HUNGARY	168	+0.09	-0.32	-0.22	▲1
52	T.Hauge	🇳🇴 NORWAY	126	-0.26	+0.02	-0.25	▼10
53	H.Tsou	🇹🇼 CHINESE TAIPEI	98	-0.28	-0.00	-0.28	▼8
54	M.Tsou	🇹🇼 CHINESE TAIPEI	98	-0.28	-0.00	-0.28	▼8
55	T.Indrebo	🇳🇴 NORWAY	98	+0.04	-0.34	-0.31	▼2
56	S.Froyse	🇳🇴 NORWAY	126	+0.40	-0.98	-0.58	·
57	C.Mikkelsen	🇳🇴 NORWAY	98	+0.33	-1.05	-0.72	·
58	H.Yang	🇹🇼 CHINESE TAIPEI	98	+0.06	-1.13	-1.08	·
59	W.Yao	🇹🇼 CHINESE TAIPEI	98	+0.06	-1.13	-1.08	·
60	SATHE SHRUTI	🇮🇳 INDIA	168	+0.05	-1.19	-1.14	·
61	VORA NIYATI	🇮🇳 INDIA	168	+0.05	-1.19	-1.14	·
62	O.Molome	BOTSWANA	154	+0.12	-2.34	-2.21	·
63	K.Diporo	BOTSWANA	154	+0.12	-2.43	-2.31	·
64	O.Gaolatlhwe	BOTSWANA	84	+0.29	-3.15	-2.85	·
65	T.Caiphus	BOTSWANA	140	+0.48	-3.39	-2.91	·
66	A.Badi	BOTSWANA	140	+0.49	-3.49	-3.00	·

Stages

Statistics