Salsomaggiore 2025 — 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.Bu	🇨🇳 CHINA	96	+1.80	+173.0
2	H.Hu	🇨🇳 CHINA	96	+1.80	+173.0
3	Y.Ji	🇨🇳 CHINA	88	+1.48	+130.0
4	X.Wu	🇨🇳 CHINA	88	+1.48	+130.0
5	M.Blicharz	🇵🇱 POLAND	96	+1.20	+115.0
6	H.Ozibko	🇵🇱 POLAND	96	+1.20	+115.0
7	J.Michalski	🇵🇱 POLAND	88	+1.10	+97.0
8	F.Stezala	🇵🇱 POLAND	88	+1.10	+97.0
9	L.Crepin	🇫🇷 FRANCE	96	+1.00	+96.0
10	E.Lyoen	🇫🇷 FRANCE	96	+1.00	+96.0
11	A.Hemmer	🇺🇸 USA1	80	+0.99	+79.0
12	Z.Meyer	🇺🇸 USA1	80	+0.99	+79.0
13	Y.Peng	🇹🇼 CHINESE TAIPEI	111	+0.94	+104.0
14	C.Wang	🇹🇼 CHINESE TAIPEI	111	+0.94	+104.0
15	M.Briedis	🇱🇻 LATVIA	136	+0.92	+125.0
16	S.Litvak	🇱🇻 LATVIA	136	+0.92	+125.0
17	W.Gu	🇨🇦 CANADA	112	+0.77	+86.0
18	W.Liu	🇨🇦 CANADA	112	+0.77	+86.0
19	A.Blicharz	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	96	+0.72	+69.0
20	W.Marshall	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	96	+0.72	+69.0
21	Y.Cai	🇭🇰 HONG KONG CHINA	96	+0.71	+68.0
22	O.Deng	🇭🇰 HONG KONG CHINA	96	+0.71	+68.0
23	Y.Ben Melech	🇮🇱 ISRAEL	88	+0.67	+59.0
24	O.Gal Or	🇮🇱 ISRAEL	88	+0.67	+59.0
25	T.Blomsteel	🇳🇱 NETHERLANDS	112	+0.67	+75.0
26	Y.Hiba	🇮🇱 ISRAEL	112	+0.62	+70.0
27	R.Khutorsky	🇮🇱 ISRAEL	112	+0.62	+70.0
28	A.Zodypache	🇮🇳 INDIA	72	+0.57	+41.0
29	A.Zodypache	🇮🇳 INDIA	72	+0.57	+41.0
30	A.Chen	🇺🇸 USA1	104	+0.49	+51.0
31	J.Xiao	🇺🇸 USA1	104	+0.49	+51.0
32	A.Mehta	🇮🇳 INDIA	120	+0.42	+51.0
33	J.Narang	🇮🇳 INDIA	120	+0.42	+51.0
34	T.Bernieri	🇫🇷 FRANCE	88	+0.38	+33.0
35	X.Roulle	🇫🇷 FRANCE	88	+0.38	+33.0
36	G.Chan	🇭🇰 HONG KONG CHINA	88	+0.36	+32.0
37	G.Chan	🇭🇰 HONG KONG CHINA	88	+0.36	+32.0
38	P.Bansal	🇮🇳 INDIA	80	+0.36	+29.0
39	V.Gahrotra	🇮🇳 INDIA	80	+0.36	+29.0
40	Y.Liu	🇹🇼 CHINESE TAIPEI	87	+0.32	+28.0
41	P.Wu	🇹🇼 CHINESE TAIPEI	87	+0.32	+28.0
42	Y.Liu	🇳🇱 NETHERLANDS	112	+0.27	+30.0
43	B.Legras	🇫🇷 FRANCE	88	+0.26	+23.0
44	C.Lejosne	🇫🇷 FRANCE	88	+0.26	+23.0
45	A.Bunaersa	🇹🇭 THAILAND	80	+0.24	+19.0
46	C.Thongnam	🇹🇭 THAILAND	72	+0.22	+16.0
47	T.Lillejord	🇳🇴 NORWAY	88	+0.14	+12.0
48	B.Moe	🇳🇴 NORWAY	88	+0.14	+12.0
49	S.Chen	🇹🇼 CHINESE TAIPEI	72	+0.11	+8.0
50	C.Chu	🇹🇼 CHINESE TAIPEI	72	+0.11	+8.0
51	P.Rodhuab	🇹🇭 THAILAND	72	+0.10	+7.0
52	M.De Wiljes	🇩🇪 GERMANY	96	+0.09	+9.0
53	A.Wlad	🇩🇪 GERMANY	96	+0.09	+9.0
54	J.Lee	🇺🇸 USA2	88	+0.02	+2.0
55	K.Lee	🇺🇸 USA2	88	+0.02	+2.0
56	N.Oikonomou	🇬🇷 GREECE	96	-0.01	-1.0
57	M.Vlachou	🇬🇷 GREECE	96	-0.01	-1.0
58	P.Ngarm-Ek	🇹🇭 THAILAND	96	-0.02	-2.0
59	J.Hedges	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	88	-0.08	-7.0
60	S.Morris	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	88	-0.08	-7.0
61	S.Vangdal	🇳🇴 NORWAY	64	-0.11	-7.0
62	P.Aramruang	🇹🇭 THAILAND	112	-0.16	-18.0
63	K.Roeangriwong	🇹🇭 THAILAND	112	-0.16	-18.0
64	B.Mroz	🇵🇱 POLAND	88	-0.18	-16.0
65	M.Prokopowicz	🇵🇱 POLAND	88	-0.18	-16.0
66	A.Jia	🇨🇦 CANADA	88	-0.22	-19.0
67	H.Xing	🇨🇦 CANADA	88	-0.22	-19.0
68	T.Holm Faxoee	🇩🇰 DENMARK	127	-0.22	-28.0
69	C.Zeeberg	🇩🇰 DENMARK	127	-0.22	-28.0
70	D.Katsakioris	🇬🇷 GREECE	104	-0.25	-26.0
71	T.Vellios	🇬🇷 GREECE	104	-0.25	-26.0
72	B.Bethere	🇱🇻 LATVIA	136	-0.34	-46.0
73	L.Straume	🇱🇻 LATVIA	136	-0.34	-46.0
74	E.Wang	🇭🇰 HONG KONG CHINA	88	-0.38	-33.0
75	Z.Yao	🇭🇰 HONG KONG CHINA	88	-0.38	-33.0
76	K.Chen	🇺🇸 USA1	88	-0.39	-34.0
77	A.Shih	🇺🇸 USA1	88	-0.39	-34.0
78	S.Draege	🇳🇴 NORWAY	72	-0.43	-31.0
79	Z.Zhao	🇨🇳 CHINA	88	-0.43	-38.0
80	Z.Zhu	🇨🇳 CHINA	88	-0.43	-38.0
81	D.De Rooij	🇳🇱 NETHERLANDS	112	-0.54	-61.0
82	S.Lahav	🇮🇱 ISRAEL	72	-0.60	-43.0
83	A.Zaidenberg Gatt	🇮🇱 ISRAEL	72	-0.60	-43.0
84	L.Blocher	🇺🇸 USA2	104	-0.75	-78.0
85	A.Xu	🇺🇸 USA2	104	-0.75	-78.0
86	F.Keim	🇩🇪 GERMANY	88	-0.95	-84.0
87	J.Rose	🇩🇪 GERMANY	88	-0.95	-84.0
88	T.Pothof	🇳🇱 NETHERLANDS	112	-0.97	-109.0
89	E.Olsen	🇳🇴 NORWAY	112	-1.22	-137.0
90	R.Cheng	🇨🇦 CANADA	72	-1.28	-92.0
91	J.Ke	🇨🇦 CANADA	72	-1.28	-92.0
92	M.Moe	🇳🇴 NORWAY	120	-1.34	-161.0
93	E.Knie-Andersen	🇩🇰 DENMARK	79	-1.42	-112.0
94	S.Akayan	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	88	-1.43	-126.0
95	C.Birdsall	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	88	-1.43	-126.0
96	I.Binderkrantz	🇩🇰 DENMARK	88	-1.44	-127.0
97	E.Kapidaki	🇬🇷 GREECE	72	-1.46	-105.0
98	I.Kapidakis	🇬🇷 GREECE	72	-1.46	-105.0
99	S.De Wiljes	🇩🇪 GERMANY	88	-1.53	-135.0
100	L.Hofmeister	🇩🇪 GERMANY	88	-1.53	-135.0
101	A.Chaunal	🇺🇸 USA2	80	-1.76	-141.0
102	K.Wei	🇺🇸 USA2	80	-1.76	-141.0
103	K.Visser	🇳🇱 NETHERLANDS	96	-1.84	-177.0
104	A.Moeller Hejlesen	🇩🇰 DENMARK	56	-2.09	-117.0
105	L.Dyrekilde	🇩🇰 DENMARK	63	-2.32	-146.0

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	A.Zaidenberg Gatt	🇮🇱 ISRAEL	13	100.0%	0.00
2	L.Crepin	🇫🇷 FRANCE	20	95.0%	0.05
3	P.Rodhuab	🇹🇭 THAILAND	19	94.7%	0.05
4	I.Kapidakis	🇬🇷 GREECE	17	94.1%	0.06
5	S.Lahav	🇮🇱 ISRAEL	16	93.8%	0.06
6	J.Michalski	🇵🇱 POLAND	30	93.3%	0.07
7	A.Moeller Hejlesen	🇩🇰 DENMARK	13	92.3%	0.08
8	B.Legras	🇫🇷 FRANCE	24	91.7%	0.08
9	F.Keim	🇩🇪 GERMANY	23	91.3%	0.09
10	W.Gu	🇨🇦 CANADA	34	91.2%	0.09
11	J.Narang	🇮🇳 INDIA	33	90.9%	0.09
12	X.Roulle	🇫🇷 FRANCE	22	90.9%	0.09
13	C.Birdsall	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	22	90.9%	0.09
14	S.De Wiljes	🇩🇪 GERMANY	21	90.5%	0.29
15	A.Bunaersa	🇹🇭 THAILAND	30	90.0%	0.10
16	K.Chen	🇺🇸 USA1	19	89.5%	0.10
17	M.De Wiljes	🇩🇪 GERMANY	19	89.5%	0.10
18	K.Wei	🇺🇸 USA2	19	89.5%	0.10
19	E.Lyoen	🇫🇷 FRANCE	26	88.5%	0.12
20	T.Lillejord	🇳🇴 NORWAY	17	88.2%	0.12
21	S.Chen	🇹🇼 CHINESE TAIPEI	16	87.5%	0.12
22	A.Shih	🇺🇸 USA1	16	87.5%	0.25
23	A.Xu	🇺🇸 USA2	23	87.0%	0.22
24	J.Rose	🇩🇪 GERMANY	30	86.7%	0.13
25	Y.Liu	🇳🇱 NETHERLANDS	30	86.7%	0.17
26	C.Zeeberg	🇩🇰 DENMARK	37	86.5%	0.14
27	H.Hu	🇨🇳 CHINA	22	86.4%	0.14
28	X.Wu	🇨🇳 CHINA	22	86.4%	0.14
29	J.Xiao	🇺🇸 USA1	22	86.4%	0.14
30	P.Ngarm-Ek	🇹🇭 THAILAND	22	86.4%	0.14
31	C.Chu	🇹🇼 CHINESE TAIPEI	14	85.7%	0.21
32	Z.Zhu	🇨🇳 CHINA	27	85.2%	0.15
33	N.Oikonomou	🇬🇷 GREECE	27	85.2%	0.15
34	I.Binderkrantz	🇩🇰 DENMARK	27	85.2%	0.15
35	T.Pothof	🇳🇱 NETHERLANDS	27	85.2%	0.18
36	T.Vellios	🇬🇷 GREECE	20	85.0%	0.15
37	L.Dyrekilde	🇩🇰 DENMARK	20	85.0%	0.15
38	G.Chan	🇭🇰 HONG KONG CHINA	20	85.0%	0.30
39	A.Hemmer	🇺🇸 USA1	19	84.2%	0.16
40	R.Cheng	🇨🇦 CANADA	19	84.2%	0.16
41	S.Morris	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	19	84.2%	0.16
42	J.Lee	🇺🇸 USA2	19	84.2%	0.16
43	W.Liu	🇨🇦 CANADA	19	84.2%	0.21
44	A.Mehta	🇮🇳 INDIA	25	84.0%	0.16
45	E.Wang	🇭🇰 HONG KONG CHINA	25	84.0%	0.16
46	O.Deng	🇭🇰 HONG KONG CHINA	25	84.0%	0.24
47	Y.Hiba	🇮🇱 ISRAEL	30	83.3%	0.17
48	A.Zodypache	🇮🇳 INDIA	12	83.3%	0.17
49	E.Kapidaki	🇬🇷 GREECE	18	83.3%	0.17
50	G.Chan	🇭🇰 HONG KONG CHINA	18	83.3%	0.22
51	D.Katsakioris	🇬🇷 GREECE	24	83.3%	0.25
52	R.Khutorsky	🇮🇱 ISRAEL	29	82.8%	0.17
53	L.Hofmeister	🇩🇪 GERMANY	23	82.6%	0.17
54	A.Chaunal	🇺🇸 USA2	23	82.6%	0.26
55	S.Draege	🇳🇴 NORWAY	17	82.4%	0.18
56	P.Aramruang	🇹🇭 THAILAND	28	82.1%	0.18
57	A.Chen	🇺🇸 USA1	28	82.1%	0.21
58	J.Ke	🇨🇦 CANADA	11	81.8%	0.18
59	B.Bethere	🇱🇻 LATVIA	32	81.2%	0.19
60	K.Lee	🇺🇸 USA2	16	81.2%	0.19
61	A.Blicharz	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	21	81.0%	0.19
62	S.Akayan	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	21	81.0%	0.19
63	L.Straume	🇱🇻 LATVIA	42	81.0%	0.24
64	W.Marshall	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	26	80.8%	0.19
65	H.Xing	🇨🇦 CANADA	31	80.6%	0.29
66	M.Prokopowicz	🇵🇱 POLAND	20	80.0%	0.20
67	T.Blomsteel	🇳🇱 NETHERLANDS	29	79.3%	0.21
68	Y.Cai	🇭🇰 HONG KONG CHINA	24	79.2%	0.21
69	M.Moe	🇳🇴 NORWAY	33	78.8%	0.27
70	Z.Yao	🇭🇰 HONG KONG CHINA	23	78.3%	0.22
71	J.Hedges	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	23	78.3%	0.22
72	E.Olsen	🇳🇴 NORWAY	23	78.3%	0.22
73	C.Wang	🇹🇼 CHINESE TAIPEI	27	77.8%	0.30
74	K.Roeangriwong	🇹🇭 THAILAND	27	77.8%	0.30
75	Y.Bu	🇨🇳 CHINA	22	77.3%	0.23
76	Y.Ben Melech	🇮🇱 ISRAEL	26	76.9%	0.23
77	M.Briedis	🇱🇻 LATVIA	39	76.9%	0.23
78	M.Blicharz	🇵🇱 POLAND	25	76.0%	0.24
79	T.Holm Faxoee	🇩🇰 DENMARK	25	76.0%	0.24
80	H.Ozibko	🇵🇱 POLAND	20	75.0%	0.25
81	M.Vlachou	🇬🇷 GREECE	32	75.0%	0.25
82	A.Jia	🇨🇦 CANADA	24	75.0%	0.29
83	S.Litvak	🇱🇻 LATVIA	32	75.0%	0.34
84	A.Zodypache	🇮🇳 INDIA	20	75.0%	0.35
85	Y.Peng	🇹🇼 CHINESE TAIPEI	35	74.3%	0.26
86	P.Bansal	🇮🇳 INDIA	23	73.9%	0.26
87	S.Vangdal	🇳🇴 NORWAY	19	73.7%	0.37
88	Y.Ji	🇨🇳 CHINA	15	73.3%	0.47
89	Y.Liu	🇹🇼 CHINESE TAIPEI	26	73.1%	0.27
90	T.Bernieri	🇫🇷 FRANCE	26	73.1%	0.35
91	Z.Zhao	🇨🇳 CHINA	22	72.7%	0.27
92	E.Knie-Andersen	🇩🇰 DENMARK	18	72.2%	0.28
93	C.Lejosne	🇫🇷 FRANCE	21	71.4%	0.29
94	Z.Meyer	🇺🇸 USA1	17	70.6%	0.29
95	B.Moe	🇳🇴 NORWAY	20	70.0%	0.30
96	P.Wu	🇹🇼 CHINESE TAIPEI	20	70.0%	0.35
97	K.Visser	🇳🇱 NETHERLANDS	30	70.0%	0.37
98	D.De Rooij	🇳🇱 NETHERLANDS	26	69.2%	0.39
99	O.Gal Or	🇮🇱 ISRAEL	18	66.7%	0.33
100	V.Gahrotra	🇮🇳 INDIA	18	66.7%	0.33
101	A.Wlad	🇩🇪 GERMANY	27	66.7%	0.37
102	C.Thongnam	🇹🇭 THAILAND	21	66.7%	0.38
103	F.Stezala	🇵🇱 POLAND	18	66.7%	0.50
104	B.Mroz	🇵🇱 POLAND	25	64.0%	0.36
105	L.Blocher	🇺🇸 USA2	20	55.0%	0.45

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	L.Crepin	🇫🇷 FRANCE	26	92.3%	0.12
2	Y.Liu	🇳🇱 NETHERLANDS	22	90.9%	0.09
3	O.Deng	🇭🇰 HONG KONG CHINA	22	90.9%	0.14
4	Y.Bu	🇨🇳 CHINA	24	87.5%	0.12
5	W.Marshall	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	31	87.1%	0.13
6	G.Chan	🇭🇰 HONG KONG CHINA	23	87.0%	0.13
7	Y.Hiba	🇮🇱 ISRAEL	25	84.0%	0.16
8	M.Prokopowicz	🇵🇱 POLAND	25	84.0%	0.16
9	Y.Peng	🇹🇼 CHINESE TAIPEI	25	84.0%	0.20
10	J.Xiao	🇺🇸 USA1	30	83.3%	0.17
11	A.Zodypache	🇮🇳 INDIA	18	83.3%	0.17
12	Y.Ji	🇨🇳 CHINA	23	82.6%	0.22
13	J.Narang	🇮🇳 INDIA	23	82.6%	0.22
14	Y.Ben Melech	🇮🇱 ISRAEL	28	82.1%	0.21
15	H.Hu	🇨🇳 CHINA	28	82.1%	0.25
16	B.Bethere	🇱🇻 LATVIA	33	81.8%	0.18
17	A.Zodypache	🇮🇳 INDIA	22	81.8%	0.27
18	L.Blocher	🇺🇸 USA2	36	80.6%	0.31
19	S.Litvak	🇱🇻 LATVIA	30	80.0%	0.23
20	D.De Rooij	🇳🇱 NETHERLANDS	24	79.2%	0.21
21	A.Jia	🇨🇦 CANADA	19	78.9%	0.37
22	C.Wang	🇹🇼 CHINESE TAIPEI	23	78.3%	0.22
23	T.Lillejord	🇳🇴 NORWAY	23	78.3%	0.26
24	J.Michalski	🇵🇱 POLAND	27	77.8%	0.33
25	E.Olsen	🇳🇴 NORWAY	40	77.5%	0.30
26	H.Xing	🇨🇦 CANADA	13	76.9%	0.23
27	M.Briedis	🇱🇻 LATVIA	34	76.5%	0.32
28	Y.Cai	🇭🇰 HONG KONG CHINA	25	76.0%	0.32
29	H.Ozibko	🇵🇱 POLAND	29	75.9%	0.45
30	W.Liu	🇨🇦 CANADA	33	75.8%	0.27
31	Z.Meyer	🇺🇸 USA1	20	75.0%	0.25
32	T.Blomsteel	🇳🇱 NETHERLANDS	28	75.0%	0.29
33	B.Moe	🇳🇴 NORWAY	28	75.0%	0.29
34	A.Chen	🇺🇸 USA1	24	75.0%	0.29
35	P.Bansal	🇮🇳 INDIA	24	75.0%	0.29
36	J.Ke	🇨🇦 CANADA	20	75.0%	0.30
37	O.Gal Or	🇮🇱 ISRAEL	16	75.0%	0.44
38	A.Mehta	🇮🇳 INDIA	39	74.4%	0.33
39	P.Aramruang	🇹🇭 THAILAND	31	74.2%	0.29
40	D.Katsakioris	🇬🇷 GREECE	31	74.2%	0.35
41	A.Shih	🇺🇸 USA1	27	74.1%	0.26
42	X.Roulle	🇫🇷 FRANCE	23	73.9%	0.26
43	E.Lyoen	🇫🇷 FRANCE	23	73.9%	0.30
44	Y.Liu	🇹🇼 CHINESE TAIPEI	23	73.9%	0.35
45	Z.Zhu	🇨🇳 CHINA	15	73.3%	0.33
46	K.Chen	🇺🇸 USA1	26	73.1%	0.35
47	C.Lejosne	🇫🇷 FRANCE	22	72.7%	0.36
48	C.Chu	🇹🇼 CHINESE TAIPEI	22	72.7%	0.36
49	M.Blicharz	🇵🇱 POLAND	22	72.7%	0.41
50	L.Straume	🇱🇻 LATVIA	29	72.4%	0.31
51	A.Xu	🇺🇸 USA2	25	72.0%	0.36
52	C.Birdsall	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	25	72.0%	0.40
53	R.Khutorsky	🇮🇱 ISRAEL	28	71.4%	0.29
54	B.Legras	🇫🇷 FRANCE	21	71.4%	0.38
55	X.Wu	🇨🇳 CHINA	28	71.4%	0.39
56	E.Wang	🇭🇰 HONG KONG CHINA	24	70.8%	0.42
57	S.Chen	🇹🇼 CHINESE TAIPEI	20	70.0%	0.35
58	S.Akayan	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	20	70.0%	0.35
59	J.Hedges	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	26	69.2%	0.39
60	K.Roeangriwong	🇹🇭 THAILAND	26	69.2%	0.46
61	Z.Yao	🇭🇰 HONG KONG CHINA	16	68.8%	0.44
62	R.Cheng	🇨🇦 CANADA	22	68.2%	0.55
63	K.Wei	🇺🇸 USA2	25	68.0%	0.44
64	A.Blicharz	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	18	66.7%	0.33
65	S.De Wiljes	🇩🇪 GERMANY	21	66.7%	0.33
66	S.Vangdal	🇳🇴 NORWAY	18	66.7%	0.39
67	P.Ngarm-Ek	🇹🇭 THAILAND	15	66.7%	0.40
68	B.Mroz	🇵🇱 POLAND	18	66.7%	0.56
69	A.Wlad	🇩🇪 GERMANY	29	65.5%	0.38
70	T.Vellios	🇬🇷 GREECE	29	65.5%	0.55
71	W.Gu	🇨🇦 CANADA	26	65.4%	0.46
72	I.Kapidakis	🇬🇷 GREECE	23	65.2%	0.52
73	A.Bunaersa	🇹🇭 THAILAND	20	65.0%	0.45
74	P.Wu	🇹🇼 CHINESE TAIPEI	17	64.7%	0.53
75	J.Lee	🇺🇸 USA2	31	64.5%	0.39
76	A.Zaidenberg Gatt	🇮🇱 ISRAEL	28	64.3%	0.46
77	L.Dyrekilde	🇩🇰 DENMARK	14	64.3%	0.86
78	N.Oikonomou	🇬🇷 GREECE	19	63.2%	0.47
79	T.Holm Faxoee	🇩🇰 DENMARK	35	62.9%	0.49
80	C.Zeeberg	🇩🇰 DENMARK	29	62.1%	0.55
81	C.Thongnam	🇹🇭 THAILAND	13	61.5%	0.46
82	S.Draege	🇳🇴 NORWAY	13	61.5%	0.54
83	G.Chan	🇭🇰 HONG KONG CHINA	26	61.5%	0.58
84	F.Keim	🇩🇪 GERMANY	18	61.1%	0.50
85	M.De Wiljes	🇩🇪 GERMANY	20	60.0%	0.55
86	S.Lahav	🇮🇱 ISRAEL	15	60.0%	0.67
87	M.Moe	🇳🇴 NORWAY	20	60.0%	0.75
88	K.Lee	🇺🇸 USA2	22	59.1%	0.41
89	T.Pothof	🇳🇱 NETHERLANDS	28	57.1%	0.71
90	E.Knie-Andersen	🇩🇰 DENMARK	14	57.1%	1.07
91	I.Binderkrantz	🇩🇰 DENMARK	27	55.6%	0.56
92	K.Visser	🇳🇱 NETHERLANDS	27	55.6%	0.67
93	Z.Zhao	🇨🇳 CHINA	24	54.2%	0.62
94	F.Stezala	🇵🇱 POLAND	13	53.8%	0.46
95	A.Chaunal	🇺🇸 USA2	13	53.8%	0.54
96	T.Bernieri	🇫🇷 FRANCE	17	52.9%	0.77
97	S.Morris	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	20	50.0%	0.60
98	A.Hemmer	🇺🇸 USA1	23	47.8%	0.65
99	P.Rodhuab	🇹🇭 THAILAND	19	47.4%	0.79
100	J.Rose	🇩🇪 GERMANY	15	46.7%	0.67
101	M.Vlachou	🇬🇷 GREECE	18	44.4%	0.67
102	L.Hofmeister	🇩🇪 GERMANY	21	42.9%	0.76
103	E.Kapidaki	🇬🇷 GREECE	14	42.9%	0.79
104	V.Gahrotra	🇮🇳 INDIA	15	40.0%	0.73
105	A.Moeller Hejlesen	🇩🇰 DENMARK	10	30.0%	0.90

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	J.Michalski	🇵🇱 POLAND	48	95.8%	0.04
2	F.Stezala	🇵🇱 POLAND	48	95.8%	0.04
3	M.Blicharz	🇵🇱 POLAND	45	93.3%	0.11
4	H.Ozibko	🇵🇱 POLAND	45	93.3%	0.11
5	Z.Zhao	🇨🇳 CHINA	49	91.8%	0.08
6	Z.Zhu	🇨🇳 CHINA	49	91.8%	0.08
7	A.Hemmer	🇺🇸 USA1	36	91.7%	0.08
8	Z.Meyer	🇺🇸 USA1	36	91.7%	0.08
9	A.Chen	🇺🇸 USA1	50	90.0%	0.14
10	J.Xiao	🇺🇸 USA1	50	90.0%	0.14
11	M.Moe	🇳🇴 NORWAY	58	89.7%	0.10
12	B.Legras	🇫🇷 FRANCE	45	88.9%	0.16
13	C.Lejosne	🇫🇷 FRANCE	45	88.9%	0.16
14	E.Olsen	🇳🇴 NORWAY	53	88.7%	0.11
15	A.Mehta	🇮🇳 INDIA	58	87.9%	0.17
16	J.Narang	🇮🇳 INDIA	58	87.9%	0.17
17	P.Bansal	🇮🇳 INDIA	41	87.8%	0.17
18	V.Gahrotra	🇮🇳 INDIA	41	87.8%	0.17
19	A.Zodypache	🇮🇳 INDIA	32	87.5%	0.16
20	A.Zodypache	🇮🇳 INDIA	32	87.5%	0.16
21	M.Briedis	🇱🇻 LATVIA	71	87.3%	0.17
22	S.Litvak	🇱🇻 LATVIA	71	87.3%	0.17
23	A.Bunaersa	🇹🇭 THAILAND	46	87.0%	0.15
24	Y.Liu	🇹🇼 CHINESE TAIPEI	46	87.0%	0.17
25	P.Wu	🇹🇼 CHINESE TAIPEI	46	87.0%	0.17
26	G.Chan	🇭🇰 HONG KONG CHINA	38	86.8%	0.13
27	G.Chan	🇭🇰 HONG KONG CHINA	38	86.8%	0.13
28	P.Ngarm-Ek	🇹🇭 THAILAND	59	86.4%	0.17
29	D.Katsakioris	🇬🇷 GREECE	44	86.4%	0.18
30	T.Vellios	🇬🇷 GREECE	44	86.4%	0.18
31	T.Blomsteel	🇳🇱 NETHERLANDS	61	85.2%	0.15
32	M.De Wiljes	🇩🇪 GERMANY	46	84.8%	0.17
33	A.Wlad	🇩🇪 GERMANY	46	84.8%	0.17
34	Y.Hiba	🇮🇱 ISRAEL	59	84.7%	0.19
35	R.Khutorsky	🇮🇱 ISRAEL	59	84.7%	0.19
36	B.Mroz	🇵🇱 POLAND	45	84.4%	0.20
37	M.Prokopowicz	🇵🇱 POLAND	45	84.4%	0.20
38	Y.Bu	🇨🇳 CHINA	44	84.1%	0.20
39	H.Hu	🇨🇳 CHINA	44	84.1%	0.20
40	J.Hedges	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	42	83.3%	0.19
41	S.Morris	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	42	83.3%	0.19
42	S.Chen	🇹🇼 CHINESE TAIPEI	30	83.3%	0.20
43	C.Chu	🇹🇼 CHINESE TAIPEI	30	83.3%	0.20
44	E.Wang	🇭🇰 HONG KONG CHINA	48	83.3%	0.23
45	Z.Yao	🇭🇰 HONG KONG CHINA	48	83.3%	0.23
46	R.Cheng	🇨🇦 CANADA	30	83.3%	0.27
47	J.Ke	🇨🇦 CANADA	30	83.3%	0.27
48	A.Blicharz	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	47	83.0%	0.19
49	W.Marshall	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	47	83.0%	0.19
50	L.Crepin	🇫🇷 FRANCE	46	82.6%	0.20
51	E.Lyoen	🇫🇷 FRANCE	46	82.6%	0.20
52	B.Bethere	🇱🇻 LATVIA	74	82.4%	0.23
53	L.Straume	🇱🇻 LATVIA	74	82.4%	0.23
54	Y.Ben Melech	🇮🇱 ISRAEL	44	81.8%	0.23
55	O.Gal Or	🇮🇱 ISRAEL	44	81.8%	0.23
56	L.Blocher	🇺🇸 USA2	43	81.4%	0.19
57	A.Xu	🇺🇸 USA2	43	81.4%	0.19
58	Y.Ji	🇨🇳 CHINA	37	81.1%	0.22
59	X.Wu	🇨🇳 CHINA	37	81.1%	0.22
60	W.Gu	🇨🇦 CANADA	53	81.1%	0.26
61	W.Liu	🇨🇦 CANADA	53	81.1%	0.26
62	D.De Rooij	🇳🇱 NETHERLANDS	56	80.4%	0.23
63	A.Moeller Hejlesen	🇩🇰 DENMARK	30	80.0%	0.30
64	Y.Peng	🇹🇼 CHINESE TAIPEI	62	79.0%	0.26
65	C.Wang	🇹🇼 CHINESE TAIPEI	62	79.0%	0.26
66	C.Thongnam	🇹🇭 THAILAND	42	78.6%	0.24
67	E.Knie-Andersen	🇩🇰 DENMARK	45	77.8%	0.27
68	Y.Liu	🇳🇱 NETHERLANDS	62	77.4%	0.23
69	S.De Wiljes	🇩🇪 GERMANY	44	77.3%	0.32
70	L.Hofmeister	🇩🇪 GERMANY	44	77.3%	0.32
71	J.Lee	🇺🇸 USA2	35	77.1%	0.23
72	K.Lee	🇺🇸 USA2	35	77.1%	0.23
73	S.Draege	🇳🇴 NORWAY	39	76.9%	0.33
74	P.Aramruang	🇹🇭 THAILAND	55	76.4%	0.26
75	K.Roeangriwong	🇹🇭 THAILAND	55	76.4%	0.26
76	N.Oikonomou	🇬🇷 GREECE	59	76.3%	0.34
77	M.Vlachou	🇬🇷 GREECE	59	76.3%	0.34
78	S.Lahav	🇮🇱 ISRAEL	29	75.9%	0.31
79	A.Zaidenberg Gatt	🇮🇱 ISRAEL	29	75.9%	0.31
80	L.Dyrekilde	🇩🇰 DENMARK	33	75.8%	0.30
81	T.Holm Faxoee	🇩🇰 DENMARK	62	75.8%	0.32
82	C.Zeeberg	🇩🇰 DENMARK	62	75.8%	0.32
83	T.Lillejord	🇳🇴 NORWAY	37	75.7%	0.27
84	B.Moe	🇳🇴 NORWAY	37	75.7%	0.27
85	Y.Cai	🇭🇰 HONG KONG CHINA	49	75.5%	0.31
86	O.Deng	🇭🇰 HONG KONG CHINA	49	75.5%	0.31
87	T.Bernieri	🇫🇷 FRANCE	48	75.0%	0.27
88	X.Roulle	🇫🇷 FRANCE	48	75.0%	0.27
89	I.Binderkrantz	🇩🇰 DENMARK	48	75.0%	0.35
90	K.Chen	🇺🇸 USA1	35	74.3%	0.29
91	A.Shih	🇺🇸 USA1	35	74.3%	0.29
92	E.Kapidaki	🇬🇷 GREECE	35	74.3%	0.31
93	I.Kapidakis	🇬🇷 GREECE	35	74.3%	0.31
94	S.Vangdal	🇳🇴 NORWAY	34	73.5%	0.38
95	A.Jia	🇨🇦 CANADA	55	72.7%	0.34
96	H.Xing	🇨🇦 CANADA	55	72.7%	0.34
97	S.Akayan	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	43	72.1%	0.40
98	C.Birdsall	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	43	72.1%	0.40
99	K.Visser	🇳🇱 NETHERLANDS	46	71.7%	0.30
100	T.Pothof	🇳🇱 NETHERLANDS	59	71.2%	0.34
101	P.Rodhuab	🇹🇭 THAILAND	37	70.3%	0.35
102	A.Chaunal	🇺🇸 USA2	42	69.0%	0.45
103	K.Wei	🇺🇸 USA2	42	69.0%	0.45
104	F.Keim	🇩🇪 GERMANY	53	67.9%	0.38
105	J.Rose	🇩🇪 GERMANY	53	67.9%	0.38

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.Shih	🇺🇸 USA1	224	125	55.8%
2	R.Cheng	🇨🇦 CANADA	211	111	52.6%
3	D.Katsakioris	🇬🇷 GREECE	268	140	52.2%
4	J.Lee	🇺🇸 USA2	234	121	51.7%
5	K.Visser	🇳🇱 NETHERLANDS	271	137	50.6%
6	T.Lillejord	🇳🇴 NORWAY	228	114	50.0%
7	I.Kapidakis	🇬🇷 GREECE	178	89	50.0%
8	L.Blocher	🇺🇸 USA2	290	144	49.7%
9	H.Hu	🇨🇳 CHINA	251	124	49.4%
10	P.Bansal	🇮🇳 INDIA	219	107	48.9%
11	A.Zaidenberg Gatt	🇮🇱 ISRAEL	187	91	48.7%
12	J.Michalski	🇵🇱 POLAND	238	113	47.5%
13	A.Chaunal	🇺🇸 USA2	217	103	47.5%
14	J.Xiao	🇺🇸 USA1	277	131	47.3%
15	B.Moe	🇳🇴 NORWAY	231	109	47.2%
16	X.Roulle	🇫🇷 FRANCE	230	108	47.0%
17	Y.Liu	🇹🇼 CHINESE TAIPEI	260	122	46.9%
18	Y.Bu	🇨🇳 CHINA	254	119	46.9%
19	K.Chen	🇺🇸 USA1	228	107	46.9%
20	M.Prokopowicz	🇵🇱 POLAND	248	116	46.8%
21	C.Zeeberg	🇩🇰 DENMARK	329	153	46.5%
22	X.Wu	🇨🇳 CHINA	229	106	46.3%
23	S.Morris	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	229	106	46.3%
24	S.Akayan	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	227	105	46.3%
25	A.Zodypache	🇮🇳 INDIA	199	92	46.2%
26	W.Gu	🇨🇦 CANADA	293	135	46.1%
27	S.Lahav	🇮🇱 ISRAEL	191	88	46.1%
28	K.Roeangriwong	🇹🇭 THAILAND	290	133	45.9%
29	M.Blicharz	🇵🇱 POLAND	268	123	45.9%
30	L.Hofmeister	🇩🇪 GERMANY	233	107	45.9%
31	M.Briedis	🇱🇻 LATVIA	378	173	45.8%
32	J.Hedges	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	227	104	45.8%
33	V.Gahrotra	🇮🇳 INDIA	221	101	45.7%
34	S.Chen	🇹🇼 CHINESE TAIPEI	198	90	45.5%
35	H.Ozibko	🇵🇱 POLAND	261	118	45.2%
36	J.Ke	🇨🇦 CANADA	209	94	45.0%
37	J.Narang	🇮🇳 INDIA	316	142	44.9%
38	A.Chen	🇺🇸 USA1	276	124	44.9%
39	P.Wu	🇹🇼 CHINESE TAIPEI	256	115	44.9%
40	T.Blomsteel	🇳🇱 NETHERLANDS	306	137	44.8%
41	A.Xu	🇺🇸 USA2	297	133	44.8%
42	Z.Meyer	🇺🇸 USA1	212	95	44.8%
43	W.Liu	🇨🇦 CANADA	298	133	44.6%
44	P.Rodhuab	🇹🇭 THAILAND	200	89	44.5%
45	A.Wlad	🇩🇪 GERMANY	261	116	44.4%
46	L.Crepin	🇫🇷 FRANCE	257	114	44.4%
47	S.De Wiljes	🇩🇪 GERMANY	237	105	44.3%
48	E.Lyoen	🇫🇷 FRANCE	266	117	44.0%
49	O.Gal Or	🇮🇱 ISRAEL	225	99	44.0%
50	A.Zodypache	🇮🇳 INDIA	196	86	43.9%
51	M.De Wiljes	🇩🇪 GERMANY	260	114	43.8%
52	T.Bernieri	🇫🇷 FRANCE	233	102	43.8%
53	G.Chan	🇭🇰 HONG KONG CHINA	236	103	43.6%
54	Y.Ji	🇨🇳 CHINA	230	100	43.5%
55	G.Chan	🇭🇰 HONG KONG CHINA	237	102	43.0%
56	Z.Zhao	🇨🇳 CHINA	237	102	43.0%
57	M.Moe	🇳🇴 NORWAY	320	137	42.8%
58	T.Vellios	🇬🇷 GREECE	276	118	42.8%
59	Z.Zhu	🇨🇳 CHINA	236	101	42.8%
60	C.Wang	🇹🇼 CHINESE TAIPEI	316	135	42.7%
61	Y.Cai	🇭🇰 HONG KONG CHINA	259	110	42.5%
62	O.Deng	🇭🇰 HONG KONG CHINA	262	111	42.4%
63	B.Mroz	🇵🇱 POLAND	254	107	42.1%
64	K.Lee	🇺🇸 USA2	237	99	41.8%
65	Y.Liu	🇳🇱 NETHERLANDS	299	124	41.5%
66	F.Stezala	🇵🇱 POLAND	239	99	41.4%
67	Y.Peng	🇹🇼 CHINESE TAIPEI	310	128	41.3%
68	E.Kapidaki	🇬🇷 GREECE	182	75	41.2%
69	Y.Hiba	🇮🇱 ISRAEL	299	123	41.1%
70	I.Binderkrantz	🇩🇰 DENMARK	219	90	41.1%
71	A.Hemmer	🇺🇸 USA1	209	86	41.1%
72	S.Litvak	🇱🇻 LATVIA	376	154	41.0%
73	B.Legras	🇫🇷 FRANCE	239	97	40.6%
74	R.Khutorsky	🇮🇱 ISRAEL	292	118	40.4%
75	A.Blicharz	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	267	108	40.4%
76	C.Chu	🇹🇼 CHINESE TAIPEI	202	81	40.1%
77	D.De Rooij	🇳🇱 NETHERLANDS	295	118	40.0%
78	P.Aramruang	🇹🇭 THAILAND	305	121	39.7%
79	T.Pothof	🇳🇱 NETHERLANDS	298	118	39.6%
80	K.Wei	🇺🇸 USA2	216	85	39.4%
81	A.Mehta	🇮🇳 INDIA	323	127	39.3%
82	W.Marshall	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	275	107	38.9%
83	E.Olsen	🇳🇴 NORWAY	312	121	38.8%
84	A.Bunaersa	🇹🇭 THAILAND	215	83	38.6%
85	E.Wang	🇭🇰 HONG KONG CHINA	226	87	38.5%
86	B.Bethere	🇱🇻 LATVIA	364	139	38.2%
87	Z.Yao	🇭🇰 HONG KONG CHINA	227	86	37.9%
88	E.Knie-Andersen	🇩🇰 DENMARK	199	75	37.7%
89	L.Straume	🇱🇻 LATVIA	368	138	37.5%
90	L.Dyrekilde	🇩🇰 DENMARK	160	59	36.9%
91	C.Birdsall	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	226	83	36.7%
92	A.Moeller Hejlesen	🇩🇰 DENMARK	139	51	36.7%
93	C.Lejosne	🇫🇷 FRANCE	245	89	36.3%
94	S.Vangdal	🇳🇴 NORWAY	168	61	36.3%
95	H.Xing	🇨🇦 CANADA	220	79	35.9%
96	A.Jia	🇨🇦 CANADA	218	77	35.3%
97	T.Holm Faxoee	🇩🇰 DENMARK	341	118	34.6%
98	N.Oikonomou	🇬🇷 GREECE	252	87	34.5%
99	M.Vlachou	🇬🇷 GREECE	251	86	34.3%
100	J.Rose	🇩🇪 GERMANY	230	79	34.3%
101	F.Keim	🇩🇪 GERMANY	237	81	34.2%
102	C.Thongnam	🇹🇭 THAILAND	199	68	34.2%
103	Y.Ben Melech	🇮🇱 ISRAEL	237	79	33.3%
104	P.Ngarm-Ek	🇹🇭 THAILAND	260	85	32.7%
105	S.Draege	🇳🇴 NORWAY	193	59	30.6%

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.Bu	🇨🇳 CHINA	96	-0.06	+1.94	+1.88	·
2	H.Hu	🇨🇳 CHINA	96	-0.06	+1.94	+1.88	·
3	A.Chen	🇺🇸 USA1	104	+0.19	+1.22	+1.41	▲2
4	J.Xiao	🇺🇸 USA1	104	+0.19	+1.22	+1.41	▲2
5	Y.Ji	🇨🇳 CHINA	88	-0.01	+1.32	+1.32	▼2
6	X.Wu	🇨🇳 CHINA	88	-0.01	+1.32	+1.32	▼2
7	M.Blicharz	🇵🇱 POLAND	96	+0.11	+1.11	+1.22	·
8	H.Ozibko	🇵🇱 POLAND	96	+0.11	+1.11	+1.22	·
9	J.Michalski	🇵🇱 POLAND	88	+0.08	+0.98	+1.06	·
10	F.Stezala	🇵🇱 POLAND	88	+0.08	+0.98	+1.06	·
11	B.Legras	🇫🇷 FRANCE	88	+0.13	+0.89	+1.02	▲2
12	C.Lejosne	🇫🇷 FRANCE	88	+0.13	+0.89	+1.02	▲2
13	Y.Hiba	🇮🇱 ISRAEL	112	+0.19	+0.71	+0.90	▲8
14	R.Khutorsky	🇮🇱 ISRAEL	112	+0.19	+0.71	+0.90	▲8
15	A.Mehta	🇮🇳 INDIA	120	-0.09	+0.96	+0.87	▼4
16	J.Narang	🇮🇳 INDIA	120	-0.09	+0.96	+0.87	▼4
17	Y.Cai	🇭🇰 HONG KONG CHINA	96	-0.03	+0.74	+0.71	▲2
18	O.Deng	🇭🇰 HONG KONG CHINA	96	-0.03	+0.74	+0.71	▲2
19	L.Crepin	🇫🇷 FRANCE	96	-0.17	+0.87	+0.70	▼4
20	E.Lyoen	🇫🇷 FRANCE	96	-0.17	+0.87	+0.70	▼4
21	C.Thongnam	🇹🇭 THAILAND	72	+0.32	+0.33	+0.65	▲15
22	S.Chen	🇹🇼 CHINESE TAIPEI	72	+0.05	+0.53	+0.59	▲5
23	C.Chu	🇹🇼 CHINESE TAIPEI	72	+0.05	+0.53	+0.59	▲5
24	Y.Liu	🇹🇼 CHINESE TAIPEI	88	-0.04	+0.62	+0.58	▼1
25	P.Wu	🇹🇼 CHINESE TAIPEI	88	-0.04	+0.62	+0.58	▼1
26	Y.Ben Melech	🇮🇱 ISRAEL	88	-0.28	+0.79	+0.52	▼9
27	O.Gal Or	🇮🇱 ISRAEL	88	-0.28	+0.79	+0.52	▼9
28	P.Rodhuab	🇹🇭 THAILAND	72	+0.09	+0.39	+0.47	▲5
29	Y.Liu	🇳🇱 NETHERLANDS	112	+0.39	-0.01	+0.38	▲20
30	W.Gu	🇨🇦 CANADA	112	-0.01	+0.37	+0.36	▲4
31	W.Liu	🇨🇦 CANADA	112	-0.01	+0.37	+0.36	▲4
32	M.Briedis	🇱🇻 LATVIA	136	+0.02	+0.31	+0.33	▲5
33	S.Litvak	🇱🇻 LATVIA	136	+0.02	+0.31	+0.33	▲5
34	Y.Peng	🇹🇼 CHINESE TAIPEI	112	-0.28	+0.58	+0.30	▼9
35	C.Wang	🇹🇼 CHINESE TAIPEI	112	-0.28	+0.58	+0.30	▼9
36	T.Blomsteel	🇳🇱 NETHERLANDS	112	+0.19	+0.11	+0.29	▲10
37	A.Hemmer	🇺🇸 USA1	80	-0.12	+0.41	+0.29	▼6
38	Z.Meyer	🇺🇸 USA1	80	-0.12	+0.41	+0.29	▼6
39	B.Bethere	🇱🇻 LATVIA	136	+0.02	+0.26	+0.28	▲3
40	L.Straume	🇱🇻 LATVIA	136	+0.02	+0.26	+0.28	▲3
41	B.Mroz	🇵🇱 POLAND	88	-0.25	+0.48	+0.23	▼12
42	M.Prokopowicz	🇵🇱 POLAND	88	-0.25	+0.48	+0.23	▼12
43	A.Bunaersa	🇹🇭 THAILAND	80	-0.07	+0.28	+0.21	▼2
44	T.Bernieri	🇫🇷 FRANCE	88	-0.05	+0.18	+0.13	·
45	X.Roulle	🇫🇷 FRANCE	88	-0.05	+0.18	+0.13	·
46	A.Blicharz	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	96	+0.30	-0.20	+0.10	▲9
47	W.Marshall	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	96	+0.30	-0.20	+0.10	▲9
48	A.Zodypache	🇮🇳 INDIA	72	-0.24	+0.28	+0.05	▼9
49	A.Zodypache	🇮🇳 INDIA	72	-0.24	+0.28	+0.05	▼9
50	P.Ngarm-Ek	🇹🇭 THAILAND	96	+0.07	-0.04	+0.03	·
51	E.Wang	🇭🇰 HONG KONG CHINA	88	+0.23	-0.23	-0.00	▲8
52	Z.Yao	🇭🇰 HONG KONG CHINA	88	+0.23	-0.23	-0.00	▲8
53	M.De Wiljes	🇩🇪 GERMANY	96	+0.28	-0.30	-0.02	▲14
54	A.Wlad	🇩🇪 GERMANY	96	+0.28	-0.30	-0.02	▲14
55	R.Cheng	🇨🇦 CANADA	72	+0.04	-0.13	-0.10	▼4
56	J.Ke	🇨🇦 CANADA	72	+0.04	-0.13	-0.10	▼4
57	T.Lillejord	🇳🇴 NORWAY	88	+0.05	-0.15	-0.10	▼4
58	B.Moe	🇳🇴 NORWAY	88	+0.05	-0.15	-0.10	▼4
59	D.Katsakioris	🇬🇷 GREECE	104	+0.12	-0.25	-0.13	▲4
60	T.Vellios	🇬🇷 GREECE	104	+0.12	-0.25	-0.13	▲4
61	P.Aramruang	🇹🇭 THAILAND	112	+0.01	-0.22	-0.21	▼4
62	K.Roeangriwong	🇹🇭 THAILAND	112	+0.01	-0.22	-0.21	▼4
63	K.Chen	🇺🇸 USA1	88	-0.00	-0.23	-0.23	▼2
64	A.Shih	🇺🇸 USA1	88	-0.00	-0.23	-0.23	▼2
65	G.Chan	🇭🇰 HONG KONG CHINA	88	-0.36	+0.09	-0.27	▼18
66	G.Chan	🇭🇰 HONG KONG CHINA	88	-0.36	+0.09	-0.27	▼18
67	J.Hedges	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	88	-0.08	-0.28	-0.36	▼2
68	S.Morris	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	88	-0.08	-0.28	-0.36	▼2
69	P.Bansal	🇮🇳 INDIA	80	-0.13	-0.31	-0.44	·
70	V.Gahrotra	🇮🇳 INDIA	80	-0.13	-0.31	-0.44	·
71	J.Lee	🇺🇸 USA2	88	+0.20	-0.65	-0.44	▲15
72	K.Lee	🇺🇸 USA2	88	+0.20	-0.65	-0.44	▲15
73	T.Holm Faxoee	🇩🇰 DENMARK	128	-0.11	-0.37	-0.48	·
74	C.Zeeberg	🇩🇰 DENMARK	128	-0.11	-0.37	-0.48	·
75	N.Oikonomou	🇬🇷 GREECE	96	+0.07	-0.56	-0.49	▲4
76	M.Vlachou	🇬🇷 GREECE	96	+0.07	-0.56	-0.49	▲4
77	Z.Zhao	🇨🇳 CHINA	88	-0.15	-0.37	-0.51	▼6
78	Z.Zhu	🇨🇳 CHINA	88	-0.15	-0.37	-0.51	▼6
79	L.Blocher	🇺🇸 USA2	104	-0.09	-0.45	-0.53	▼4
80	A.Xu	🇺🇸 USA2	104	-0.09	-0.45	-0.53	▼4
81	E.Kapidaki	🇬🇷 GREECE	72	-0.04	-0.53	-0.57	▼4
82	I.Kapidakis	🇬🇷 GREECE	72	-0.04	-0.53	-0.57	▼4
83	S.Akayan	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	88	-0.06	-0.62	-0.68	▲1
84	C.Birdsall	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	88	-0.06	-0.62	-0.68	▲1
85	S.Vangdal	🇳🇴 NORWAY	64	+0.08	-0.80	-0.73	▲5
86	S.Lahav	🇮🇱 ISRAEL	72	+0.04	-0.81	-0.77	▲5
87	A.Zaidenberg Gatt	🇮🇱 ISRAEL	72	+0.04	-0.81	-0.77	▲5
88	A.Jia	🇨🇦 CANADA	88	-0.22	-0.56	-0.78	▼7
89	H.Xing	🇨🇦 CANADA	88	-0.22	-0.56	-0.78	▼7
90	D.De Rooij	🇳🇱 NETHERLANDS	112	-0.21	-0.60	-0.81	▼7
91	E.Olsen	🇳🇴 NORWAY	112	+0.09	-0.94	-0.85	▲4
92	K.Visser	🇳🇱 NETHERLANDS	96	-0.02	-0.85	-0.87	▲2
93	S.Draege	🇳🇴 NORWAY	72	+0.20	-1.09	-0.89	▲3
94	T.Pothof	🇳🇱 NETHERLANDS	112	-0.05	-0.84	-0.89	▼1
95	F.Keim	🇩🇪 GERMANY	88	-0.11	-0.79	-0.90	▼7
96	J.Rose	🇩🇪 GERMANY	88	-0.11	-0.79	-0.90	▼7
97	M.Moe	🇳🇴 NORWAY	120	+0.16	-1.10	-0.94	·
98	S.De Wiljes	🇩🇪 GERMANY	88	+0.05	-1.60	-1.56	▲2
99	L.Hofmeister	🇩🇪 GERMANY	88	+0.05	-1.60	-1.56	▲2
100	E.Knie-Andersen	🇩🇰 DENMARK	80	+0.27	-1.89	-1.61	▲4
101	L.Dyrekilde	🇩🇰 DENMARK	64	+0.56	-2.21	-1.65	▲4
102	A.Moeller Hejlesen	🇩🇰 DENMARK	56	+0.03	-1.69	-1.66	·
103	A.Chaunal	🇺🇸 USA2	80	-0.26	-1.49	-1.75	▼5
104	K.Wei	🇺🇸 USA2	80	-0.26	-1.49	-1.75	▼5
105	I.Binderkrantz	🇩🇰 DENMARK	88	-0.03	-1.78	-1.81	▼2

Stages

Statistics

Tables