Salsomaggiore 2016 — 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	W.Wang	🇨🇳 CHINA	98	+1.81	+177.0
2	X.Yu	🇨🇳 CHINA	98	+1.81	+177.0
3	X.Deng	🇨🇳 CHINA	112	+1.75	+196.0
4	Z.Baldysz	🇵🇱 POLAND	140	+1.72	+241.0
5	A.Maduzia	🇵🇱 POLAND	140	+1.72	+241.0
6	I.Thapa	🇺🇸 USA	140	+1.44	+202.0
7	M.Xia	🇨🇳 CHINA	126	+1.43	+180.0
8	M.Van Ommen	🇳🇱 NETHERLANDS	98	+1.39	+136.0
9	E.Visser	🇳🇱 NETHERLANDS	98	+1.39	+136.0
10	A.Lin	🇺🇸 USA	126	+1.07	+135.0
11	G.Gan	🇸🇬 SINGAPORE	98	+1.05	+103.0
12	H.Yeo	🇸🇬 SINGAPORE	98	+1.05	+103.0
13	M.Bruijnsteen	🇳🇱 NETHERLANDS	112	+0.98	+110.0
14	J.Wackwitz	🇳🇱 NETHERLANDS	112	+0.98	+110.0
15	N.Banas	🇳🇱 NETHERLANDS	126	+0.87	+110.0
16	M.Ticha	🇳🇱 NETHERLANDS	126	+0.87	+110.0
17	R.Wernis	🇺🇸 USA	140	+0.59	+82.0
18	S.Gerstmann	🇨🇱 CHILE	140	+0.42	+59.0
19	R.Cooper	🇦🇺 AUSTRALIA	168	+0.37	+62.0
20	E.Pattison	🇦🇺 AUSTRALIA	168	+0.37	+62.0
21	A.Le Pensec	🇫🇷 FRANCE	126	+0.31	+39.0
22	E.Ningtias	🇮🇩 INDONESIA	140	+0.29	+40.0
23	F.Sibuea	🇮🇩 INDONESIA	140	+0.29	+40.0
24	K.Fuller	🇦🇺 AUSTRALIA	126	+0.27	+34.0
25	F.Nacrur	🇨🇱 CHILE	168	+0.21	+36.0
26	A.Di Mauro	🇮🇹 ITALY	112	+0.18	+20.0
27	F.Tanini	🇮🇹 ITALY	112	+0.18	+20.0
28	K.Ekren	🇳🇴 NORWAY	168	+0.11	+18.0
29	T.Hauge	🇳🇴 NORWAY	168	+0.11	+18.0
30	J.Brake	🇦🇺 AUSTRALIA	140	+0.09	+12.0
31	X.Ao	🇨🇳 CHINA	112	+0.02	+2.0
32	M.Thuillez	🇫🇷 FRANCE	84	+0.01	+1.0
33	G.Eva	🇮🇩 INDONESIA	112	-0.02	-2.0
34	F.Martanti	🇮🇩 INDONESIA	112	-0.02	-2.0
35	T.Indrebo	🇳🇴 NORWAY	154	-0.09	-14.0
36	C.Chang	🇹🇼 CHINESE TAIPEI	112	-0.10	-11.0
37	Y.Chen	🇹🇼 CHINESE TAIPEI	112	-0.10	-11.0
38	A.Guan	🇨🇳 CHINA	126	-0.11	-14.0
39	S.Thepaut-Ventos	🇫🇷 FRANCE	98	-0.12	-12.0
40	S.Sjodal	🇳🇴 NORWAY	168	-0.12	-21.0
41	H.Tsou	🇹🇼 CHINESE TAIPEI	112	-0.21	-24.0
42	M.Tsou	🇹🇼 CHINESE TAIPEI	112	-0.21	-24.0
43	L.Li	🇸🇬 SINGAPORE	126	-0.24	-30.0
44	J.Ong	🇸🇬 SINGAPORE	126	-0.24	-30.0
45	A.Hunt	🇺🇸 USA	140	-0.24	-34.0
46	M.Beko	🇭🇺 HUNGARY	140	-0.31	-43.0
47	H.Lajos	🇭🇺 HUNGARY	140	-0.31	-43.0
48	S.Capobianco	🇮🇹 ITALY	98	-0.52	-51.0
49	C.De Lutio	🇮🇹 ITALY	98	-0.52	-51.0
50	A.Leleu	🇫🇷 FRANCE	140	-0.54	-75.0
51	J.Mourgues	🇫🇷 FRANCE	154	-0.58	-90.0
52	A.Marriott	🇺🇸 USA	126	-0.71	-89.0
53	Z.Moszczynska	🇵🇱 POLAND	126	-0.80	-101.0
54	D.Piesiewicz	🇵🇱 POLAND	126	-0.80	-101.0
55	Y.Fytry	🇮🇩 INDONESIA	84	-0.88	-74.0
56	E.Sefita	🇮🇩 INDONESIA	84	-0.88	-74.0
57	S.Broccolino	🇮🇹 ITALY	126	-0.90	-114.0
58	E.Raffa	🇮🇹 ITALY	126	-0.90	-114.0
59	M.Dong	🇸🇬 SINGAPORE	112	-0.93	-104.0
60	J.Lim	🇸🇬 SINGAPORE	112	-0.93	-104.0
61	V.Roman	🇨🇱 CHILE	140	-1.16	-163.0
62	Z.Beko	🇭🇺 HUNGARY	98	-1.18	-116.0
63	L.Ersek	🇭🇺 HUNGARY	98	-1.18	-116.0
64	D.Molina	🇨🇱 CHILE	154	-1.22	-188.0
65	Z.Beko	🇭🇺 HUNGARY	98	-1.32	-129.0
66	H.Revai	🇭🇺 HUNGARY	98	-1.32	-129.0
67	K.Chen	🇹🇼 CHINESE TAIPEI	112	-2.16	-242.0
68	Y.Lee	🇹🇼 CHINESE TAIPEI	112	-2.16	-242.0
69	F.Mcgrath	🇦🇺 AUSTRALIA	70	+0.00	+0.0
70	J.Brede	🇵🇱 POLAND	70	-0.36	-25.0
71	M.Budzynska	🇵🇱 POLAND	70	-0.36	-25.0
72	A.Kjensli	🇳🇴 NORWAY	14	-0.50	-7.0
73	S.Combescure	🇫🇷 FRANCE	70	-0.93	-65.0
74	F.Villegas	🇨🇱 CHILE	70	-1.54	-108.0

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	G.Eva	🇮🇩 INDONESIA	22	95.5%	0.04
2	A.Hunt	🇺🇸 USA	30	93.3%	0.07
3	A.Lin	🇺🇸 USA	28	92.9%	0.07
4	X.Deng	🇨🇳 CHINA	26	92.3%	0.08
5	A.Marriott	🇺🇸 USA	24	91.7%	0.12
6	C.Chang	🇹🇼 CHINESE TAIPEI	34	91.2%	0.09
7	F.Sibuea	🇮🇩 INDONESIA	33	90.9%	0.12
8	M.Van Ommen	🇳🇱 NETHERLANDS	22	90.9%	0.14
9	M.Thuillez	🇫🇷 FRANCE	19	89.5%	0.10
10	H.Revai	🇭🇺 HUNGARY	25	88.0%	0.12
11	H.Tsou	🇹🇼 CHINESE TAIPEI	33	87.9%	0.12
12	K.Ekren	🇳🇴 NORWAY	49	87.8%	0.12
13	E.Raffa	🇮🇹 ITALY	31	87.1%	0.16
14	Z.Moszczynska	🇵🇱 POLAND	30	86.7%	0.17
15	R.Cooper	🇦🇺 AUSTRALIA	37	86.5%	0.14
16	D.Molina	🇨🇱 CHILE	27	85.2%	0.18
17	T.Indrebo	🇳🇴 NORWAY	39	84.6%	0.20
18	R.Wernis	🇺🇸 USA	45	84.4%	0.22
19	E.Ningtias	🇮🇩 INDONESIA	31	83.9%	0.16
20	A.Maduzia	🇵🇱 POLAND	31	83.9%	0.19
21	F.Nacrur	🇨🇱 CHILE	43	83.7%	0.19
22	Y.Chen	🇹🇼 CHINESE TAIPEI	24	83.3%	0.17
23	L.Li	🇸🇬 SINGAPORE	30	83.3%	0.20
24	J.Brake	🇦🇺 AUSTRALIA	39	82.1%	0.20
25	T.Hauge	🇳🇴 NORWAY	44	81.8%	0.23
26	L.Ersek	🇭🇺 HUNGARY	22	81.8%	0.23
27	J.Wackwitz	🇳🇱 NETHERLANDS	32	81.2%	0.22
28	I.Thapa	🇺🇸 USA	32	81.2%	0.25
29	D.Piesiewicz	🇵🇱 POLAND	31	80.6%	0.19
30	H.Lajos	🇭🇺 HUNGARY	36	80.6%	0.22
31	J.Mourgues	🇫🇷 FRANCE	41	80.5%	0.22
32	M.Ticha	🇳🇱 NETHERLANDS	30	80.0%	0.27
33	Y.Fytry	🇮🇩 INDONESIA	15	80.0%	0.27
34	C.De Lutio	🇮🇹 ITALY	25	80.0%	0.28
35	F.Martanti	🇮🇩 INDONESIA	39	79.5%	0.26
36	E.Pattison	🇦🇺 AUSTRALIA	34	79.4%	0.21
37	X.Ao	🇨🇳 CHINA	29	79.3%	0.21
38	H.Yeo	🇸🇬 SINGAPORE	29	79.3%	0.24
39	S.Broccolino	🇮🇹 ITALY	24	79.2%	0.21
40	K.Chen	🇹🇼 CHINESE TAIPEI	28	78.6%	0.25
41	A.Guan	🇨🇳 CHINA	27	77.8%	0.22
42	S.Gerstmann	🇨🇱 CHILE	36	77.8%	0.31
43	F.Tanini	🇮🇹 ITALY	18	77.8%	0.33
44	S.Capobianco	🇮🇹 ITALY	22	77.3%	0.27
45	A.Leleu	🇫🇷 FRANCE	30	76.7%	0.23
46	V.Roman	🇨🇱 CHILE	30	76.7%	0.30
47	S.Sjodal	🇳🇴 NORWAY	42	76.2%	0.24
48	Z.Baldysz	🇵🇱 POLAND	44	75.0%	0.29
49	A.Di Mauro	🇮🇹 ITALY	44	75.0%	0.36
50	M.Xia	🇨🇳 CHINA	31	74.2%	0.29
51	J.Ong	🇸🇬 SINGAPORE	31	74.2%	0.32
52	E.Sefita	🇮🇩 INDONESIA	30	73.3%	0.30
53	W.Wang	🇨🇳 CHINA	26	73.1%	0.31
54	S.Thepaut-Ventos	🇫🇷 FRANCE	26	73.1%	0.31
55	Y.Lee	🇹🇼 CHINESE TAIPEI	26	73.1%	0.31
56	N.Banas	🇳🇱 NETHERLANDS	22	72.7%	0.36
57	M.Dong	🇸🇬 SINGAPORE	35	71.4%	0.40
58	K.Fuller	🇦🇺 AUSTRALIA	38	71.1%	0.29
59	E.Visser	🇳🇱 NETHERLANDS	34	70.6%	0.38
60	A.Le Pensec	🇫🇷 FRANCE	37	70.3%	0.32
61	G.Gan	🇸🇬 SINGAPORE	23	69.6%	0.35
62	M.Beko	🇭🇺 HUNGARY	32	68.8%	0.41
63	Z.Beko	🇭🇺 HUNGARY	32	68.8%	0.44
64	X.Yu	🇨🇳 CHINA	24	66.7%	0.46
65	M.Bruijnsteen	🇳🇱 NETHERLANDS	26	65.4%	0.42
66	M.Tsou	🇹🇼 CHINESE TAIPEI	31	64.5%	0.39
67	J.Lim	🇸🇬 SINGAPORE	25	64.0%	0.44
68	Z.Beko	🇭🇺 HUNGARY	26	57.7%	0.46
69	F.Villegas	🇨🇱 CHILE	12	91.7%	0.08
70	J.Brede	🇵🇱 POLAND	18	88.9%	0.22
71	M.Budzynska	🇵🇱 POLAND	18	88.9%	0.22
72	S.Combescure	🇫🇷 FRANCE	19	78.9%	0.21
73	F.Mcgrath	🇦🇺 AUSTRALIA	18	77.8%	0.33
74	A.Kjensli	🇳🇴 NORWAY	1	0.0%	1.00

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	G.Gan	🇸🇬 SINGAPORE	23	87.0%	0.17
2	J.Ong	🇸🇬 SINGAPORE	30	86.7%	0.13
3	L.Ersek	🇭🇺 HUNGARY	22	86.4%	0.14
4	S.Sjodal	🇳🇴 NORWAY	44	86.4%	0.18
5	S.Thepaut-Ventos	🇫🇷 FRANCE	14	85.7%	0.14
6	W.Wang	🇨🇳 CHINA	20	85.0%	0.20
7	J.Mourgues	🇫🇷 FRANCE	53	84.9%	0.17
8	Z.Moszczynska	🇵🇱 POLAND	25	84.0%	0.20
9	Y.Chen	🇹🇼 CHINESE TAIPEI	30	83.3%	0.33
10	A.Guan	🇨🇳 CHINA	29	82.8%	0.24
11	E.Ningtias	🇮🇩 INDONESIA	40	82.5%	0.20
12	M.Xia	🇨🇳 CHINA	33	81.8%	0.18
13	F.Nacrur	🇨🇱 CHILE	44	81.8%	0.18
14	A.Marriott	🇺🇸 USA	33	81.8%	0.30
15	J.Brake	🇦🇺 AUSTRALIA	38	81.6%	0.24
16	T.Indrebo	🇳🇴 NORWAY	38	81.6%	0.47
17	I.Thapa	🇺🇸 USA	27	81.5%	0.26
18	G.Eva	🇮🇩 INDONESIA	27	81.5%	0.26
19	Z.Baldysz	🇵🇱 POLAND	35	80.0%	0.20
20	A.Maduzia	🇵🇱 POLAND	30	80.0%	0.20
21	Y.Lee	🇹🇼 CHINESE TAIPEI	30	80.0%	0.27
22	M.Van Ommen	🇳🇱 NETHERLANDS	25	80.0%	0.32
23	R.Cooper	🇦🇺 AUSTRALIA	57	78.9%	0.25
24	H.Lajos	🇭🇺 HUNGARY	33	78.8%	0.36
25	J.Wackwitz	🇳🇱 NETHERLANDS	23	78.3%	0.22
26	A.Leleu	🇫🇷 FRANCE	32	78.1%	0.22
27	X.Yu	🇨🇳 CHINA	27	77.8%	0.22
28	F.Sibuea	🇮🇩 INDONESIA	36	77.8%	0.28
29	E.Sefita	🇮🇩 INDONESIA	22	77.3%	0.36
30	E.Visser	🇳🇱 NETHERLANDS	17	76.5%	0.29
31	E.Raffa	🇮🇹 ITALY	29	75.9%	0.48
32	T.Hauge	🇳🇴 NORWAY	45	75.6%	0.31
33	N.Banas	🇳🇱 NETHERLANDS	49	75.5%	0.27
34	A.Hunt	🇺🇸 USA	49	75.5%	0.27
35	D.Molina	🇨🇱 CHILE	57	75.4%	0.28
36	Y.Fytry	🇮🇩 INDONESIA	16	75.0%	0.25
37	M.Ticha	🇳🇱 NETHERLANDS	24	75.0%	0.29
38	K.Chen	🇹🇼 CHINESE TAIPEI	28	75.0%	0.32
39	A.Lin	🇺🇸 USA	35	74.3%	0.29
40	X.Ao	🇨🇳 CHINA	35	74.3%	0.34
41	C.De Lutio	🇮🇹 ITALY	26	73.1%	0.46
42	E.Pattison	🇦🇺 AUSTRALIA	39	71.8%	0.31
43	M.Bruijnsteen	🇳🇱 NETHERLANDS	31	71.0%	0.32
44	S.Gerstmann	🇨🇱 CHILE	33	69.7%	0.30
45	S.Capobianco	🇮🇹 ITALY	23	69.6%	0.39
46	J.Lim	🇸🇬 SINGAPORE	32	68.8%	0.44
47	A.Di Mauro	🇮🇹 ITALY	22	68.2%	0.46
48	F.Tanini	🇮🇹 ITALY	28	67.9%	0.39
49	A.Le Pensec	🇫🇷 FRANCE	27	66.7%	0.37
50	M.Beko	🇭🇺 HUNGARY	39	66.7%	0.44
51	M.Thuillez	🇫🇷 FRANCE	12	66.7%	0.50
52	H.Yeo	🇸🇬 SINGAPORE	23	65.2%	0.39
53	M.Dong	🇸🇬 SINGAPORE	20	65.0%	0.45
54	R.Wernis	🇺🇸 USA	31	64.5%	0.48
55	V.Roman	🇨🇱 CHILE	41	63.4%	0.39
56	K.Ekren	🇳🇴 NORWAY	30	63.3%	0.40
57	H.Tsou	🇹🇼 CHINESE TAIPEI	19	63.2%	0.37
58	L.Li	🇸🇬 SINGAPORE	35	62.9%	0.51
59	F.Martanti	🇮🇩 INDONESIA	24	62.5%	0.50
60	K.Fuller	🇦🇺 AUSTRALIA	30	60.0%	0.57
61	S.Broccolino	🇮🇹 ITALY	41	58.5%	0.54
62	X.Deng	🇨🇳 CHINA	28	57.1%	0.46
63	M.Tsou	🇹🇼 CHINESE TAIPEI	28	57.1%	0.61
64	D.Piesiewicz	🇵🇱 POLAND	39	56.4%	0.64
65	C.Chang	🇹🇼 CHINESE TAIPEI	24	54.2%	0.46
66	Z.Beko	🇭🇺 HUNGARY	28	53.6%	0.61
67	Z.Beko	🇭🇺 HUNGARY	21	47.6%	0.71
68	H.Revai	🇭🇺 HUNGARY	20	35.0%	0.90
69	J.Brede	🇵🇱 POLAND	16	93.8%	0.06
70	M.Budzynska	🇵🇱 POLAND	17	82.4%	0.18
71	S.Combescure	🇫🇷 FRANCE	25	80.0%	0.28
72	A.Kjensli	🇳🇴 NORWAY	4	75.0%	0.25
73	F.Villegas	🇨🇱 CHILE	13	61.5%	0.39
74	F.Mcgrath	🇦🇺 AUSTRALIA	4	50.0%	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	M.Xia	🇨🇳 CHINA	59	96.6%	0.03
2	X.Deng	🇨🇳 CHINA	54	96.3%	0.04
3	S.Thepaut-Ventos	🇫🇷 FRANCE	58	94.8%	0.09
4	N.Banas	🇳🇱 NETHERLANDS	52	94.2%	0.06
5	M.Ticha	🇳🇱 NETHERLANDS	52	94.2%	0.06
6	R.Wernis	🇺🇸 USA	70	90.0%	0.14
7	A.Guan	🇨🇳 CHINA	59	89.8%	0.10
8	I.Thapa	🇺🇸 USA	73	89.0%	0.15
9	X.Ao	🇨🇳 CHINA	54	88.9%	0.11
10	R.Cooper	🇦🇺 AUSTRALIA	71	88.7%	0.13
11	E.Pattison	🇦🇺 AUSTRALIA	71	88.7%	0.13
12	G.Gan	🇸🇬 SINGAPORE	52	88.5%	0.17
13	H.Yeo	🇸🇬 SINGAPORE	52	88.5%	0.17
14	Z.Baldysz	🇵🇱 POLAND	75	88.0%	0.15
15	A.Maduzia	🇵🇱 POLAND	75	88.0%	0.15
16	M.Bruijnsteen	🇳🇱 NETHERLANDS	58	87.9%	0.12
17	J.Wackwitz	🇳🇱 NETHERLANDS	58	87.9%	0.12
18	A.Leleu	🇫🇷 FRANCE	66	87.9%	0.12
19	A.Lin	🇺🇸 USA	66	87.9%	0.18
20	K.Chen	🇹🇼 CHINESE TAIPEI	54	87.0%	0.15
21	Y.Lee	🇹🇼 CHINESE TAIPEI	54	87.0%	0.15
22	L.Li	🇸🇬 SINGAPORE	61	85.2%	0.16
23	J.Ong	🇸🇬 SINGAPORE	61	85.2%	0.16
24	V.Roman	🇨🇱 CHILE	53	84.9%	0.21
25	A.Marriott	🇺🇸 USA	52	84.6%	0.15
26	H.Tsou	🇹🇼 CHINESE TAIPEI	64	84.4%	0.16
27	M.Tsou	🇹🇼 CHINESE TAIPEI	64	84.4%	0.16
28	Y.Fytry	🇮🇩 INDONESIA	45	84.4%	0.16
29	E.Sefita	🇮🇩 INDONESIA	45	84.4%	0.16
30	K.Fuller	🇦🇺 AUSTRALIA	70	84.3%	0.20
31	J.Mourgues	🇫🇷 FRANCE	69	84.1%	0.20
32	A.Le Pensec	🇫🇷 FRANCE	69	84.1%	0.23
33	M.Beko	🇭🇺 HUNGARY	68	83.8%	0.18
34	H.Lajos	🇭🇺 HUNGARY	68	83.8%	0.18
35	S.Broccolino	🇮🇹 ITALY	55	83.6%	0.20
36	E.Raffa	🇮🇹 ITALY	55	83.6%	0.20
37	D.Molina	🇨🇱 CHILE	55	83.6%	0.24
38	M.Dong	🇸🇬 SINGAPORE	60	83.3%	0.22
39	J.Lim	🇸🇬 SINGAPORE	60	83.3%	0.22
40	E.Ningtias	🇮🇩 INDONESIA	64	82.8%	0.20
41	F.Sibuea	🇮🇩 INDONESIA	64	82.8%	0.20
42	A.Di Mauro	🇮🇹 ITALY	62	82.3%	0.21
43	F.Tanini	🇮🇹 ITALY	62	82.3%	0.21
44	M.Thuillez	🇫🇷 FRANCE	45	82.2%	0.18
45	M.Van Ommen	🇳🇱 NETHERLANDS	56	82.1%	0.18
46	E.Visser	🇳🇱 NETHERLANDS	56	82.1%	0.18
47	Z.Moszczynska	🇵🇱 POLAND	61	82.0%	0.20
48	D.Piesiewicz	🇵🇱 POLAND	61	82.0%	0.20
49	Z.Beko	🇭🇺 HUNGARY	48	81.2%	0.21
50	L.Ersek	🇭🇺 HUNGARY	48	81.2%	0.21
51	J.Brake	🇦🇺 AUSTRALIA	78	80.8%	0.24
52	A.Hunt	🇺🇸 USA	57	80.7%	0.23
53	S.Sjodal	🇳🇴 NORWAY	82	79.3%	0.28
54	T.Indrebo	🇳🇴 NORWAY	77	79.2%	0.29
55	G.Eva	🇮🇩 INDONESIA	61	78.7%	0.23
56	F.Martanti	🇮🇩 INDONESIA	61	78.7%	0.23
57	W.Wang	🇨🇳 CHINA	50	78.0%	0.28
58	X.Yu	🇨🇳 CHINA	50	78.0%	0.28
59	S.Gerstmann	🇨🇱 CHILE	72	77.8%	0.25
60	F.Nacrur	🇨🇱 CHILE	86	76.7%	0.27
61	K.Ekren	🇳🇴 NORWAY	93	76.3%	0.29
62	T.Hauge	🇳🇴 NORWAY	93	76.3%	0.29
63	C.Chang	🇹🇼 CHINESE TAIPEI	58	75.9%	0.29
64	Y.Chen	🇹🇼 CHINESE TAIPEI	58	75.9%	0.29
65	Z.Beko	🇭🇺 HUNGARY	57	73.7%	0.32
66	H.Revai	🇭🇺 HUNGARY	57	73.7%	0.32
67	S.Capobianco	🇮🇹 ITALY	47	70.2%	0.34
68	C.De Lutio	🇮🇹 ITALY	47	70.2%	0.34
69	S.Combescure	🇫🇷 FRANCE	37	91.9%	0.08
70	J.Brede	🇵🇱 POLAND	36	80.6%	0.19
71	M.Budzynska	🇵🇱 POLAND	36	80.6%	0.19
72	A.Kjensli	🇳🇴 NORWAY	5	80.0%	0.20
73	F.Villegas	🇨🇱 CHILE	30	76.7%	0.30
74	F.Mcgrath	🇦🇺 AUSTRALIA	42	71.4%	0.36

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	N.Banas	🇳🇱 NETHERLANDS	126	+0.08	+1.35	+1.43	▲2
2	M.Ticha	🇳🇱 NETHERLANDS	126	+0.08	+1.35	+1.43	▲2
3	A.Guan	🇨🇳 CHINA	126	-0.06	+1.42	+1.36	▼1
4	X.Ao	🇨🇳 CHINA	112	-0.19	+1.46	+1.27	▼3
5	M.Xia	🇨🇳 CHINA	126	+0.03	+0.94	+0.98	▲4
6	W.Wang	🇨🇳 CHINA	98	-0.27	+1.23	+0.96	▼1
7	X.Yu	🇨🇳 CHINA	98	-0.27	+1.23	+0.96	▼1
8	M.Bruijnsteen	🇳🇱 NETHERLANDS	112	-0.10	+0.99	+0.89	▼1
9	J.Wackwitz	🇳🇱 NETHERLANDS	112	-0.10	+0.99	+0.89	▼1
10	X.Deng	🇨🇳 CHINA	112	-0.09	+0.92	+0.84	·
11	Z.Baldysz	🇵🇱 POLAND	140	-0.13	+0.85	+0.72	▲2
12	A.Maduzia	🇵🇱 POLAND	140	-0.13	+0.85	+0.72	▲2
13	M.Van Ommen	🇳🇱 NETHERLANDS	98	-0.20	+0.88	+0.69	▼2
14	E.Visser	🇳🇱 NETHERLANDS	98	-0.20	+0.88	+0.69	▼2
15	A.Hunt	🇺🇸 USA	140	+0.11	+0.45	+0.56	▲4
16	A.Marriott	🇺🇸 USA	126	+0.18	+0.34	+0.52	▲8
17	E.Ningtias	🇮🇩 INDONESIA	140	-0.21	+0.70	+0.49	▼2
18	F.Sibuea	🇮🇩 INDONESIA	140	-0.21	+0.70	+0.49	▼2
19	I.Thapa	🇺🇸 USA	140	-0.02	+0.48	+0.46	▼1
20	R.Cooper	🇦🇺 AUSTRALIA	168	+0.02	+0.43	+0.45	·
21	E.Pattison	🇦🇺 AUSTRALIA	168	+0.02	+0.43	+0.45	·
22	R.Wernis	🇺🇸 USA	140	+0.04	+0.34	+0.37	▲3
23	A.Lin	🇺🇸 USA	126	-0.31	+0.62	+0.31	▼6
24	Z.Moszczynska	🇵🇱 POLAND	126	+0.09	+0.17	+0.26	▲3
25	D.Piesiewicz	🇵🇱 POLAND	126	+0.09	+0.17	+0.26	▲3
26	A.Le Pensec	🇫🇷 FRANCE	126	+0.21	-0.01	+0.21	▲7
27	K.Ekren	🇳🇴 NORWAY	168	+0.03	+0.09	+0.11	▲2
28	T.Hauge	🇳🇴 NORWAY	168	+0.03	+0.09	+0.11	▲2
29	J.Brake	🇦🇺 AUSTRALIA	140	+0.21	-0.11	+0.10	▲6
30	G.Gan	🇸🇬 SINGAPORE	98	-0.30	+0.35	+0.05	▼8
31	H.Yeo	🇸🇬 SINGAPORE	98	-0.30	+0.35	+0.05	▼8
32	K.Fuller	🇦🇺 AUSTRALIA	126	-0.16	+0.18	+0.02	▼6
33	G.Eva	🇮🇩 INDONESIA	112	+0.29	-0.28	+0.01	▲8
34	F.Martanti	🇮🇩 INDONESIA	112	+0.29	-0.28	+0.01	▲8
35	J.Mourgues	🇫🇷 FRANCE	154	+0.01	-0.02	-0.01	▼1
36	T.Indrebo	🇳🇴 NORWAY	154	-0.10	+0.06	-0.04	▼5
37	L.Li	🇸🇬 SINGAPORE	126	+0.06	-0.13	-0.06	▼1
38	J.Ong	🇸🇬 SINGAPORE	126	+0.06	-0.13	-0.06	▼1
39	A.Di Mauro	🇮🇹 ITALY	112	+0.09	-0.15	-0.06	▼1
40	F.Tanini	🇮🇹 ITALY	112	+0.09	-0.15	-0.06	▼1
41	M.Dong	🇸🇬 SINGAPORE	112	+0.30	-0.40	-0.10	▲4
42	J.Lim	🇸🇬 SINGAPORE	112	+0.30	-0.40	-0.10	▲4
43	S.Sjodal	🇳🇴 NORWAY	168	-0.14	+0.01	-0.13	▼11
44	S.Thepaut-Ventos	🇫🇷 FRANCE	98	+0.08	-0.27	-0.20	▼4
45	D.Molina	🇨🇱 CHILE	154	-0.10	-0.31	-0.41	▼1
46	A.Leleu	🇫🇷 FRANCE	140	-0.20	-0.28	-0.48	▼3
47	V.Roman	🇨🇱 CHILE	140	+0.07	-0.59	-0.52	·
48	H.Tsou	🇹🇼 CHINESE TAIPEI	112	+0.14	-0.72	-0.58	▲6
49	M.Tsou	🇹🇼 CHINESE TAIPEI	112	+0.14	-0.72	-0.58	▲6
50	S.Broccolino	🇮🇹 ITALY	126	+0.02	-0.65	-0.62	▼1
51	E.Raffa	🇮🇹 ITALY	126	+0.02	-0.65	-0.62	▼1
52	M.Beko	🇭🇺 HUNGARY	140	+0.26	-0.93	-0.67	▲9
53	H.Lajos	🇭🇺 HUNGARY	140	+0.26	-0.93	-0.67	▲9
54	C.Chang	🇹🇼 CHINESE TAIPEI	112	+0.00	-0.70	-0.70	▼2
55	Y.Chen	🇹🇼 CHINESE TAIPEI	112	+0.00	-0.70	-0.70	▼2
56	S.Capobianco	🇮🇹 ITALY	98	+0.15	-0.84	-0.70	▲2
57	C.De Lutio	🇮🇹 ITALY	98	+0.15	-0.84	-0.70	▲2
58	S.Gerstmann	🇨🇱 CHILE	140	-0.09	-0.64	-0.73	▼10
59	M.Thuillez	🇫🇷 FRANCE	84	-0.10	-0.65	-0.75	▼8
60	F.Nacrur	🇨🇱 CHILE	168	+0.06	-0.85	-0.79	·
61	Z.Beko	🇭🇺 HUNGARY	98	+0.02	-0.82	-0.79	▼5
62	L.Ersek	🇭🇺 HUNGARY	98	+0.02	-0.82	-0.79	▼5
63	K.Chen	🇹🇼 CHINESE TAIPEI	112	+0.18	-1.01	-0.82	·
64	Y.Lee	🇹🇼 CHINESE TAIPEI	112	+0.18	-1.01	-0.82	·
65	Y.Fytry	🇮🇩 INDONESIA	84	-0.01	-1.32	-1.33	▲2
66	E.Sefita	🇮🇩 INDONESIA	84	-0.01	-1.32	-1.33	▲2
67	Z.Beko	🇭🇺 HUNGARY	98	-0.21	-1.18	-1.39	▼2
68	H.Revai	🇭🇺 HUNGARY	98	-0.21	-1.18	-1.39	▼2

Stages

Statistics