Orlando 2018 — 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	S.Winestock	KODA	40	+1.35	+54.0
2	J.Wolpert	KODA	40	+1.35	+54.0
3	D.Kazmucha	POLAND	100	+1.30	+130.0
4	A.Sarniak	POLAND	100	+1.30	+130.0
5	K.Dufrat	WESTHEIMER	90	+1.26	+113.0
6	J.Zmuda	WESTHEIMER	90	+1.26	+113.0
7	I.Baroni	BARONI	100	+1.14	+114.0
8	S.Paoluzi	BARONI	100	+1.14	+114.0
9	Y.Liu	CHINA LADIES	50	+0.84	+42.0
10	Y.Lu	CHINA LADIES	50	+0.84	+42.0
11	M.Bruijnsteen	NETHERLANDS WOMEN	80	+0.82	+66.0
12	L.Dekkers	NETHERLANDS WOMEN	80	+0.82	+66.0
13	T.Dikhnova	APEROL	50	+0.78	+39.0
14	A.Gulevich	APEROL	50	+0.78	+39.0
15	A.Howard	ALLINA AND MAK	90	+0.73	+66.0
16	K.Shimamura	ALLINA AND MAK	90	+0.73	+66.0
17	C.Bjerkan	QUINN	80	+0.62	+50.0
18	R.Pollack	QUINN	80	+0.62	+50.0
19	C.D'Ovidio	APEROL	70	+0.61	+43.0
20	S.Willard	APEROL	70	+0.61	+43.0
21	J.Pasman	NETHERLANDS WOMEN	50	+0.44	+22.0
22	A.Simons	NETHERLANDS WOMEN	50	+0.44	+22.0
23	Y.Huang	CHINA LADIES	60	+0.33	+20.0
24	N.Wang	CHINA LADIES	60	+0.33	+20.0
25	S.Quinn	QUINN	80	+0.30	+24.0
26	P.Wittes	QUINN	80	+0.30	+24.0
27	S.Brock	BAKER	90	+0.29	+26.0
28	F.Brown	BAKER	90	+0.29	+26.0
29	P.Leslie	SMITH	60	+0.23	+14.0
30	S.Remen	SMITH	60	+0.23	+14.0
31	C.Baldysz	POLAND	100	+0.23	+23.0
32	Z.Baldysz	POLAND	100	+0.23	+23.0
33	I.Levitina	BAKER	80	+0.20	+16.0
34	K.Sanborn	BAKER	80	+0.20	+16.0
35	M.Michielsen	KODA	80	+0.14	+11.0
36	M.Wortel	KODA	80	+0.14	+11.0
37	K.Bertheau	SMITH	60	+0.08	+5.0
38	J.Larsson	SMITH	60	+0.08	+5.0
39	I.Gronkvist	KODA	80	+0.06	+5.0
40	C.Rimstedt	KODA	80	+0.06	+5.0
41	E.Ovelius	WESTHEIMER	70	+0.04	+3.0
42	S.Rimstedt	WESTHEIMER	70	+0.04	+3.0
43	N.Smith	SMITH	60	-0.03	-2.0
44	Y.Wiseman	SMITH	60	-0.03	-2.0
45	K.Onsgard	BLOOM	60	-0.05	-3.0
46	L.Weinger	BLOOM	60	-0.05	-3.0
47	V.Bloom	BLOOM	60	-0.08	-5.0
48	A.Nestoridis	BLOOM	60	-0.08	-5.0
49	J.Seamon-Molson	JOEL	70	-0.13	-9.0
50	T.Sokolow	JOEL	70	-0.13	-9.0
51	Y.Lu	CHINA XHJT	80	-0.17	-14.0
52	D.Balkin	ROSSLEE	90	-0.24	-22.0
53	K.Driver	ROSSLEE	90	-0.24	-22.0
54	S.Friedman	BLOOM	60	-0.27	-16.0
55	O.Lourie	BLOOM	60	-0.27	-16.0
56	N.Nishida	ALLINA AND MAK	90	-0.32	-29.0
57	M.Sato	ALLINA AND MAK	90	-0.32	-29.0
58	P.Mcleish	AUSTRALIA WOMEN	90	-0.39	-35.0
59	D.Smart	AUSTRALIA WOMEN	90	-0.39	-35.0
60	P.Hamman	QUINN	40	-0.47	-19.0
61	N.Passell	QUINN	40	-0.47	-19.0
62	K.Frazer	AUSTRALIA WOMEN	90	-0.53	-48.0
63	A.St Clair	AUSTRALIA WOMEN	90	-0.53	-48.0
64	Y.Zheng	CHINA XHJT	90	-0.56	-50.0
65	V.Bessis	BARONI	100	-0.58	-58.0
66	A.Huberschwiller	BARONI	100	-0.58	-58.0
67	SHEN (1) Qi	CHINA LADIES	70	-0.70	-49.0
68	W.Wang	CHINA LADIES	70	-0.70	-49.0
69	L.Berkowitz	STRUL	90	-0.72	-65.0
70	S.Strul	STRUL	90	-0.72	-65.0
71	V.Gromova	APEROL	80	-0.93	-74.0
72	T.Ponomareva	APEROL	80	-0.93	-74.0
73	D.Rosslee	ROSSLEE	90	-0.94	-85.0
74	D.Stamm	ROSSLEE	90	-0.94	-85.0
75	D.Rosenberg	JOEL	80	-0.99	-79.0
76	J.Stansby	JOEL	80	-0.99	-79.0
77	W.Bao	CHINA XHJT	90	-1.10	-99.0
78	J.Li	CHINA XHJT	70	-1.10	-77.0
79	J.Radin	WESTHEIMER	40	-1.20	-48.0
80	V.Westheimer	WESTHEIMER	40	-1.20	-48.0
81	M.Oneill	STRUL	90	-1.39	-125.0
82	J.Weingold	STRUL	90	-1.39	-125.0
83	C.Arnolds	NETHERLANDS WOMEN	50	-1.72	-86.0
84	S.Kolen	NETHERLANDS WOMEN	50	-1.72	-86.0
85	G.Joel	JOEL	30	+3.37	+101.0
86	D.Von Arnim	JOEL	30	+3.37	+101.0
87	L.Baker	BAKER	30	-0.10	-3.0
88	K.Mccallum	BAKER	30	-0.10	-3.0
89	J.Bao	CHINA XHJT	30	-0.47	-14.0

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	S.Winestock	KODA	6	100.0%	0.00
2	S.Willard	APEROL	10	100.0%	0.00
3	J.Seamon-Molson	JOEL	16	100.0%	0.00
4	T.Sokolow	JOEL	19	94.7%	0.05
5	N.Wang	CHINA LADIES	15	93.3%	0.07
6	J.Pasman	NETHERLANDS WOMEN	13	92.3%	0.08
7	A.Sarniak	POLAND	26	92.3%	0.12
8	P.Leslie	SMITH	12	91.7%	0.17
9	P.Mcleish	AUSTRALIA WOMEN	27	88.9%	0.15
10	S.Strul	STRUL	27	88.9%	0.15
11	Y.Lu	CHINA XHJT	25	88.0%	0.12
12	P.Hamman	QUINN	8	87.5%	0.12
13	A.Gulevich	APEROL	16	87.5%	0.12
14	Y.Lu	CHINA LADIES	16	87.5%	0.19
15	A.Nestoridis	BLOOM	15	86.7%	0.13
16	J.Zmuda	WESTHEIMER	21	85.7%	0.14
17	M.Bruijnsteen	NETHERLANDS WOMEN	21	85.7%	0.14
18	A.Simons	NETHERLANDS WOMEN	14	85.7%	0.14
19	D.Kazmucha	POLAND	27	85.2%	0.15
20	J.Wolpert	KODA	13	84.6%	0.15
21	N.Smith	SMITH	13	84.6%	0.15
22	P.Wittes	QUINN	13	84.6%	0.15
23	T.Ponomareva	APEROL	26	84.6%	0.15
24	K.Bertheau	SMITH	13	84.6%	0.15
25	S.Brock	BAKER	26	84.6%	0.15
26	I.Gronkvist	KODA	26	84.6%	0.19
27	S.Kolen	NETHERLANDS WOMEN	13	84.6%	0.23
28	C.Bjerkan	QUINN	19	84.2%	0.21
29	J.Radin	WESTHEIMER	6	83.3%	0.17
30	N.Nishida	ALLINA AND MAK	18	83.3%	0.22
31	I.Levitina	BAKER	17	82.4%	0.18
32	R.Pollack	QUINN	17	82.4%	0.18
33	K.Onsgard	BLOOM	17	82.4%	0.18
34	T.Dikhnova	APEROL	11	81.8%	0.18
35	K.Dufrat	WESTHEIMER	27	81.5%	0.18
36	K.Sanborn	BAKER	16	81.2%	0.25
37	V.Gromova	APEROL	16	81.2%	0.25
38	D.Balkin	ROSSLEE	21	81.0%	0.24
39	A.Howard	ALLINA AND MAK	26	80.8%	0.23
40	I.Baroni	BARONI	26	80.8%	0.27
41	SHEN (1) Qi	CHINA LADIES	15	80.0%	0.20
42	J.Larsson	SMITH	20	80.0%	0.25
43	M.Sato	ALLINA AND MAK	24	79.2%	0.25
44	M.Wortel	KODA	19	78.9%	0.21
45	V.Bloom	BLOOM	19	78.9%	0.26
46	D.Smart	AUSTRALIA WOMEN	19	78.9%	0.26
47	A.Huberschwiller	BARONI	23	78.3%	0.22
48	C.Baldysz	POLAND	27	77.8%	0.26
49	L.Dekkers	NETHERLANDS WOMEN	21	76.2%	0.24
50	K.Shimamura	ALLINA AND MAK	21	76.2%	0.29
51	J.Stansby	JOEL	21	76.2%	0.29
52	S.Remen	SMITH	21	76.2%	0.29
53	Z.Baldysz	POLAND	25	76.0%	0.28
54	M.Michielsen	KODA	16	75.0%	0.25
55	K.Frazer	AUSTRALIA WOMEN	24	75.0%	0.29
56	L.Weinger	BLOOM	16	75.0%	0.31
57	N.Passell	QUINN	8	75.0%	0.38
58	F.Brown	BAKER	23	73.9%	0.26
59	Y.Zheng	CHINA XHJT	23	73.9%	0.48
60	O.Lourie	BLOOM	15	73.3%	0.27
61	D.Rosenberg	JOEL	15	73.3%	0.27
62	Y.Liu	CHINA LADIES	11	72.7%	0.36
63	E.Ovelius	WESTHEIMER	18	72.2%	0.33
64	Y.Huang	CHINA LADIES	18	72.2%	0.33
65	Y.Wiseman	SMITH	14	71.4%	0.29
66	C.D'Ovidio	APEROL	21	71.4%	0.33
67	W.Bao	CHINA XHJT	21	71.4%	0.33
68	S.Rimstedt	WESTHEIMER	14	71.4%	0.36
69	W.Wang	CHINA LADIES	17	70.6%	0.29
70	L.Berkowitz	STRUL	27	70.4%	0.30
71	D.Rosslee	ROSSLEE	22	68.2%	0.36
72	C.Rimstedt	KODA	22	68.2%	0.41
73	K.Driver	ROSSLEE	25	68.0%	0.32
74	S.Paoluzi	BARONI	25	68.0%	0.36
75	S.Friedman	BLOOM	9	66.7%	0.56
76	S.Quinn	QUINN	29	65.5%	0.38
77	D.Stamm	ROSSLEE	23	65.2%	0.52
78	V.Bessis	BARONI	25	64.0%	0.44
79	C.Arnolds	NETHERLANDS WOMEN	11	63.6%	0.36
80	J.Li	CHINA XHJT	11	63.6%	0.64
81	J.Weingold	STRUL	19	63.2%	0.37
82	M.Oneill	STRUL	23	60.9%	0.65
83	A.St Clair	AUSTRALIA WOMEN	19	57.9%	0.47
84	V.Westheimer	WESTHEIMER	12	50.0%	0.58
85	G.Joel	JOEL	4	100.0%	0.00
86	D.Von Arnim	JOEL	12	91.7%	0.08
87	L.Baker	BAKER	5	80.0%	0.20
88	K.Mccallum	BAKER	8	50.0%	0.62
89	J.Bao	CHINA XHJT	5	40.0%	0.80

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	A.Nestoridis	BLOOM	14	92.9%	0.07
2	V.Bloom	BLOOM	12	91.7%	0.08
3	S.Paoluzi	BARONI	22	90.9%	0.14
4	J.Wolpert	KODA	10	90.0%	0.10
5	J.Radin	WESTHEIMER	10	90.0%	0.10
6	C.Rimstedt	KODA	9	88.9%	0.11
7	I.Baroni	BARONI	27	88.9%	0.15
8	S.Willard	APEROL	18	88.9%	0.22
9	R.Pollack	QUINN	26	88.5%	0.12
10	P.Leslie	SMITH	15	86.7%	0.13
11	A.Howard	ALLINA AND MAK	22	86.4%	0.14
12	L.Dekkers	NETHERLANDS WOMEN	20	85.0%	0.20
13	N.Passell	QUINN	13	84.6%	0.23
14	S.Kolen	NETHERLANDS WOMEN	13	84.6%	0.31
15	M.Bruijnsteen	NETHERLANDS WOMEN	18	83.3%	0.17
16	Y.Lu	CHINA LADIES	12	83.3%	0.25
17	C.Bjerkan	QUINN	18	83.3%	0.28
18	S.Remen	SMITH	12	83.3%	0.33
19	S.Brock	BAKER	24	83.3%	0.38
20	D.Kazmucha	POLAND	23	82.6%	0.17
21	A.Sarniak	POLAND	23	82.6%	0.17
22	D.Rosenberg	JOEL	22	81.8%	0.18
23	A.Huberschwiller	BARONI	22	81.8%	0.23
24	Y.Liu	CHINA LADIES	11	81.8%	0.27
25	N.Wang	CHINA LADIES	10	80.0%	0.20
26	I.Levitina	BAKER	30	80.0%	0.23
27	T.Ponomareva	APEROL	24	79.2%	0.21
28	P.Mcleish	AUSTRALIA WOMEN	24	79.2%	0.21
29	C.Baldysz	POLAND	24	79.2%	0.29
30	SHEN (1) Qi	CHINA LADIES	19	78.9%	0.26
31	K.Bertheau	SMITH	14	78.6%	0.36
32	S.Quinn	QUINN	18	77.8%	0.22
33	S.Rimstedt	WESTHEIMER	26	76.9%	0.23
34	F.Brown	BAKER	17	76.5%	0.23
35	T.Sokolow	JOEL	17	76.5%	0.23
36	N.Smith	SMITH	17	76.5%	0.35
37	J.Zmuda	WESTHEIMER	21	76.2%	0.24
38	K.Shimamura	ALLINA AND MAK	21	76.2%	0.24
39	K.Dufrat	WESTHEIMER	21	76.2%	0.33
40	K.Frazer	AUSTRALIA WOMEN	25	76.0%	0.24
41	E.Ovelius	WESTHEIMER	12	75.0%	0.25
42	M.Wortel	KODA	20	75.0%	0.25
43	A.Simons	NETHERLANDS WOMEN	12	75.0%	0.25
44	Y.Wiseman	SMITH	16	75.0%	0.31
45	O.Lourie	BLOOM	19	73.7%	0.26
46	V.Bessis	BARONI	30	73.3%	0.27
47	J.Stansby	JOEL	22	72.7%	0.32
48	M.Sato	ALLINA AND MAK	22	72.7%	0.36
49	A.St Clair	AUSTRALIA WOMEN	22	72.7%	0.50
50	K.Driver	ROSSLEE	18	72.2%	0.28
51	M.Michielsen	KODA	25	72.0%	0.48
52	S.Strul	STRUL	21	71.4%	0.29
53	L.Weinger	BLOOM	14	71.4%	0.36
54	D.Stamm	ROSSLEE	24	70.8%	0.29
55	Z.Baldysz	POLAND	24	70.8%	0.33
56	S.Friedman	BLOOM	17	70.6%	0.35
57	D.Smart	AUSTRALIA WOMEN	20	70.0%	0.30
58	I.Gronkvist	KODA	23	69.6%	0.43
59	K.Onsgard	BLOOM	13	69.2%	0.31
60	D.Balkin	ROSSLEE	26	69.2%	0.39
61	W.Wang	CHINA LADIES	19	68.4%	0.32
62	Y.Lu	CHINA XHJT	22	68.2%	0.32
63	J.Weingold	STRUL	28	67.9%	0.36
64	W.Bao	CHINA XHJT	31	67.7%	0.35
65	C.D'Ovidio	APEROL	21	66.7%	0.38
66	V.Westheimer	WESTHEIMER	12	66.7%	0.42
67	J.Li	CHINA XHJT	18	66.7%	0.44
68	J.Seamon-Molson	JOEL	18	66.7%	0.50
69	N.Nishida	ALLINA AND MAK	26	65.4%	0.42
70	P.Wittes	QUINN	20	65.0%	0.40
71	M.Oneill	STRUL	20	65.0%	0.45
72	K.Sanborn	BAKER	17	64.7%	0.41
73	J.Pasman	NETHERLANDS WOMEN	11	63.6%	0.36
74	V.Gromova	APEROL	13	61.5%	0.39
75	J.Larsson	SMITH	13	61.5%	0.39
76	C.Arnolds	NETHERLANDS WOMEN	13	61.5%	0.39
77	Y.Huang	CHINA LADIES	17	58.8%	0.47
78	T.Dikhnova	APEROL	14	57.1%	0.50
79	D.Rosslee	ROSSLEE	21	57.1%	0.52
80	P.Hamman	QUINN	11	54.5%	0.46
81	S.Winestock	KODA	11	54.5%	0.64
82	L.Berkowitz	STRUL	15	53.3%	0.53
83	Y.Zheng	CHINA XHJT	17	52.9%	0.71
84	A.Gulevich	APEROL	9	44.4%	0.67
85	G.Joel	JOEL	10	90.0%	0.10
86	L.Baker	BAKER	10	90.0%	0.10
87	J.Bao	CHINA XHJT	7	57.1%	0.43
88	K.Mccallum	BAKER	7	57.1%	0.57
89	D.Von Arnim	JOEL	4	50.0%	0.50

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	I.Baroni	BARONI	51	94.1%	0.08
2	S.Paoluzi	BARONI	51	94.1%	0.08
3	K.Bertheau	SMITH	33	93.9%	0.09
4	J.Larsson	SMITH	33	93.9%	0.09
5	P.Hamman	QUINN	16	93.8%	0.06
6	N.Passell	QUINN	16	93.8%	0.06
7	I.Gronkvist	KODA	48	91.7%	0.08
8	C.Rimstedt	KODA	48	91.7%	0.08
9	D.Kazmucha	POLAND	53	90.6%	0.15
10	A.Sarniak	POLAND	53	90.6%	0.15
11	S.Quinn	QUINN	42	90.5%	0.10
12	P.Wittes	QUINN	42	90.5%	0.10
13	C.D'Ovidio	APEROL	31	90.3%	0.13
14	S.Willard	APEROL	31	90.3%	0.13
15	S.Brock	BAKER	49	89.8%	0.14
16	F.Brown	BAKER	49	89.8%	0.14
17	K.Dufrat	WESTHEIMER	48	89.6%	0.19
18	J.Zmuda	WESTHEIMER	48	89.6%	0.19
19	Y.Liu	CHINA LADIES	27	88.9%	0.11
20	Y.Lu	CHINA LADIES	27	88.9%	0.11
21	M.Michielsen	KODA	35	88.6%	0.14
22	M.Wortel	KODA	35	88.6%	0.14
23	C.Baldysz	POLAND	52	88.5%	0.14
24	Z.Baldysz	POLAND	52	88.5%	0.14
25	K.Onsgard	BLOOM	33	87.9%	0.30
26	L.Weinger	BLOOM	33	87.9%	0.30
27	E.Ovelius	WESTHEIMER	32	87.5%	0.19
28	S.Rimstedt	WESTHEIMER	32	87.5%	0.19
29	V.Bessis	BARONI	48	87.5%	0.19
30	A.Huberschwiller	BARONI	48	87.5%	0.19
31	Y.Zheng	CHINA XHJT	45	86.7%	0.22
32	Y.Lu	CHINA XHJT	44	86.4%	0.25
33	M.Bruijnsteen	NETHERLANDS WOMEN	42	85.7%	0.14
34	L.Dekkers	NETHERLANDS WOMEN	42	85.7%	0.14
35	N.Smith	SMITH	27	85.2%	0.18
36	Y.Wiseman	SMITH	27	85.2%	0.18
37	A.Howard	ALLINA AND MAK	47	85.1%	0.19
38	K.Shimamura	ALLINA AND MAK	47	85.1%	0.19
39	S.Winestock	KODA	19	84.2%	0.16
40	J.Wolpert	KODA	19	84.2%	0.16
41	V.Gromova	APEROL	42	83.3%	0.17
42	T.Ponomareva	APEROL	42	83.3%	0.17
43	S.Friedman	BLOOM	24	83.3%	0.17
44	O.Lourie	BLOOM	24	83.3%	0.17
45	J.Radin	WESTHEIMER	18	83.3%	0.17
46	V.Westheimer	WESTHEIMER	18	83.3%	0.17
47	D.Rosenberg	JOEL	36	83.3%	0.22
48	J.Stansby	JOEL	36	83.3%	0.22
49	D.Rosslee	ROSSLEE	45	82.2%	0.29
50	D.Stamm	ROSSLEE	45	82.2%	0.29
51	I.Levitina	BAKER	33	81.8%	0.21
52	K.Sanborn	BAKER	33	81.8%	0.21
53	T.Dikhnova	APEROL	27	81.5%	0.18
54	A.Gulevich	APEROL	27	81.5%	0.18
55	J.Li	CHINA XHJT	27	81.5%	0.22
56	K.Frazer	AUSTRALIA WOMEN	43	81.4%	0.19
57	A.St Clair	AUSTRALIA WOMEN	43	81.4%	0.19
58	M.Oneill	STRUL	42	81.0%	0.24
59	J.Weingold	STRUL	42	81.0%	0.24
60	C.Bjerkan	QUINN	36	80.6%	0.33
61	R.Pollack	QUINN	36	80.6%	0.33
62	P.Mcleish	AUSTRALIA WOMEN	46	80.4%	0.26
63	D.Smart	AUSTRALIA WOMEN	46	80.4%	0.26
64	W.Bao	CHINA XHJT	38	78.9%	0.24
65	P.Leslie	SMITH	33	78.8%	0.24
66	S.Remen	SMITH	33	78.8%	0.24
67	Y.Huang	CHINA LADIES	33	78.8%	0.27
68	N.Wang	CHINA LADIES	33	78.8%	0.27
69	N.Nishida	ALLINA AND MAK	42	78.6%	0.24
70	M.Sato	ALLINA AND MAK	42	78.6%	0.24
71	J.Pasman	NETHERLANDS WOMEN	27	77.8%	0.41
72	A.Simons	NETHERLANDS WOMEN	27	77.8%	0.41
73	J.Seamon-Molson	JOEL	35	77.1%	0.26
74	T.Sokolow	JOEL	35	77.1%	0.26
75	L.Berkowitz	STRUL	54	75.9%	0.26
76	S.Strul	STRUL	54	75.9%	0.26
77	SHEN (1) Qi	CHINA LADIES	32	75.0%	0.41
78	W.Wang	CHINA LADIES	32	75.0%	0.41
79	V.Bloom	BLOOM	34	73.5%	0.29
80	A.Nestoridis	BLOOM	34	73.5%	0.29
81	D.Balkin	ROSSLEE	46	67.4%	0.46
82	K.Driver	ROSSLEE	46	67.4%	0.46
83	C.Arnolds	NETHERLANDS WOMEN	24	66.7%	0.38
84	S.Kolen	NETHERLANDS WOMEN	24	66.7%	0.38
85	G.Joel	JOEL	16	93.8%	0.06
86	D.Von Arnim	JOEL	16	93.8%	0.06
87	L.Baker	BAKER	13	84.6%	0.15
88	K.Mccallum	BAKER	13	84.6%	0.15
89	J.Bao	CHINA XHJT	16	81.2%	0.25

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	D.Kazmucha	POLAND	100	+0.09	+1.07	+1.16	·
2	A.Sarniak	POLAND	100	+0.09	+1.07	+1.16	·
3	N.Smith	SMITH	60	+0.04	+0.82	+0.87	▲2
4	Y.Wiseman	SMITH	60	+0.04	+0.82	+0.87	▲2
5	S.Winestock	KODA	40	-0.20	+1.03	+0.83	▼2
6	J.Wolpert	KODA	40	-0.20	+1.03	+0.83	▼2
7	C.Baldysz	POLAND	100	+0.20	+0.62	+0.81	▲4
8	Z.Baldysz	POLAND	100	+0.20	+0.62	+0.81	▲4
9	K.Dufrat	WESTHEIMER	90	-0.04	+0.79	+0.74	▼2
10	J.Zmuda	WESTHEIMER	90	-0.04	+0.79	+0.74	▼2
11	I.Baroni	BARONI	100	-0.07	+0.78	+0.71	▼2
12	S.Paoluzi	BARONI	100	-0.07	+0.78	+0.71	▼2
13	I.Levitina	BAKER	80	+0.16	+0.53	+0.68	·
14	K.Sanborn	BAKER	80	+0.16	+0.53	+0.68	·
15	M.Bruijnsteen	NETHERLANDS WOMEN	80	+0.27	+0.40	+0.66	▲6
16	L.Dekkers	NETHERLANDS WOMEN	80	+0.27	+0.40	+0.66	▲6
17	M.Michielsen	KODA	80	+0.34	+0.26	+0.60	▲16
18	M.Wortel	KODA	80	+0.34	+0.26	+0.60	▲16
19	I.Gronkvist	KODA	80	+0.23	+0.29	+0.52	▲12
20	C.Rimstedt	KODA	80	+0.23	+0.29	+0.52	▲12
21	C.D'Ovidio	APEROL	70	-0.09	+0.52	+0.44	▼6
22	S.Willard	APEROL	70	-0.09	+0.52	+0.44	▼6
23	C.Bjerkan	QUINN	80	-0.04	+0.46	+0.42	▼6
24	R.Pollack	QUINN	80	-0.04	+0.46	+0.42	▼6
25	Y.Liu	CHINA LADIES	50	-0.10	+0.45	+0.35	▼6
26	Y.Lu	CHINA LADIES	50	-0.10	+0.45	+0.35	▼6
27	C.Arnolds	NETHERLANDS WOMEN	50	+0.36	-0.03	+0.34	▲18
28	S.Kolen	NETHERLANDS WOMEN	50	+0.36	-0.03	+0.34	▲18
29	J.Radin	WESTHEIMER	40	+0.33	-0.03	+0.30	▲14
30	V.Westheimer	WESTHEIMER	40	+0.33	-0.03	+0.30	▲14
31	V.Gromova	APEROL	80	+0.25	+0.03	+0.28	▲6
32	T.Ponomareva	APEROL	80	+0.25	+0.03	+0.28	▲6
33	P.Hamman	QUINN	40	-0.09	+0.34	+0.24	▼10
34	N.Passell	QUINN	40	-0.09	+0.34	+0.24	▼10
35	A.Howard	ALLINA AND MAK	90	-0.08	+0.29	+0.22	▼6
36	K.Shimamura	ALLINA AND MAK	90	-0.08	+0.29	+0.22	▼6
37	E.Ovelius	WESTHEIMER	70	-0.11	+0.30	+0.19	▼10
38	S.Rimstedt	WESTHEIMER	70	-0.11	+0.30	+0.19	▼10
39	T.Dikhnova	APEROL	50	+0.31	-0.23	+0.07	▲14
40	A.Gulevich	APEROL	50	+0.31	-0.23	+0.07	▲14
41	D.Rosenberg	JOEL	80	+0.24	-0.18	+0.06	▲10
42	J.Stansby	JOEL	80	+0.24	-0.18	+0.06	▲10
43	S.Brock	BAKER	90	+0.29	-0.26	+0.03	▲12
44	F.Brown	BAKER	90	+0.29	-0.26	+0.03	▲12
45	SHEN (1) Qi	CHINA LADIES	70	-0.32	+0.32	-0.00	▼20
46	W.Wang	CHINA LADIES	70	-0.32	+0.32	-0.00	▼20
47	K.Bertheau	SMITH	60	-0.04	+0.03	-0.01	▼8
48	J.Larsson	SMITH	60	-0.04	+0.03	-0.01	▼8
49	S.Quinn	QUINN	80	-0.13	+0.05	-0.09	▼14
50	P.Wittes	QUINN	80	-0.13	+0.05	-0.09	▼14
51	V.Bessis	BARONI	100	+0.17	-0.31	-0.15	▲10
52	A.Huberschwiller	BARONI	100	+0.17	-0.31	-0.15	▲10
53	J.Pasman	NETHERLANDS WOMEN	50	+0.31	-0.51	-0.20	▲14
54	A.Simons	NETHERLANDS WOMEN	50	+0.31	-0.51	-0.20	▲14
55	J.Seamon-Molson	JOEL	70	+0.10	-0.34	-0.24	▲8
56	T.Sokolow	JOEL	70	+0.10	-0.34	-0.24	▲8
57	N.Nishida	ALLINA AND MAK	90	-0.22	-0.08	-0.30	▼8
58	M.Sato	ALLINA AND MAK	90	-0.22	-0.08	-0.30	▼8
59	S.Friedman	BLOOM	60	-0.31	+0.00	-0.31	▼18
60	O.Lourie	BLOOM	60	-0.31	+0.00	-0.31	▼18
61	K.Onsgard	BLOOM	60	-0.24	-0.08	-0.32	▼14
62	L.Weinger	BLOOM	60	-0.24	-0.08	-0.32	▼14
63	P.Leslie	SMITH	60	-0.02	-0.31	-0.33	▼4
64	S.Remen	SMITH	60	-0.02	-0.31	-0.33	▼4
65	Y.Huang	CHINA LADIES	60	+0.25	-0.67	-0.42	▲13
66	N.Wang	CHINA LADIES	60	+0.25	-0.67	-0.42	▲13
67	D.Balkin	ROSSLEE	90	-0.27	-0.31	-0.57	▼10
68	K.Driver	ROSSLEE	90	-0.27	-0.31	-0.57	▼10
69	V.Bloom	BLOOM	60	-0.26	-0.37	-0.63	▼4
70	A.Nestoridis	BLOOM	60	-0.26	-0.37	-0.63	▼4
71	P.Mcleish	AUSTRALIA WOMEN	90	-0.10	-0.54	-0.64	▼2
72	D.Smart	AUSTRALIA WOMEN	90	-0.10	-0.54	-0.64	▼2
73	Y.Zheng	CHINA XHJT	90	-0.01	-0.63	-0.64	▲2
74	D.Rosslee	ROSSLEE	90	-0.08	-0.64	-0.72	▲2
75	D.Stamm	ROSSLEE	90	-0.08	-0.64	-0.72	▲2
76	K.Frazer	AUSTRALIA WOMEN	90	-0.26	-0.55	-0.81	▼4
77	A.St Clair	AUSTRALIA WOMEN	90	-0.26	-0.55	-0.81	▼4
78	W.Bao	CHINA XHJT	90	-0.35	-0.55	-0.90	▼7
79	J.Li	CHINA XHJT	70	-0.38	-0.57	-0.95	▼5
80	Y.Lu	CHINA XHJT	80	+0.08	-1.06	-0.98	·
81	L.Berkowitz	STRUL	90	-0.07	-1.13	-1.21	·
82	S.Strul	STRUL	90	-0.07	-1.13	-1.21	·
83	M.Oneill	STRUL	90	+0.00	-1.26	-1.26	·
84	J.Weingold	STRUL	90	+0.00	-1.26	-1.26	·

Stages

Statistics