Veldhoven 2023 — 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.

#PlayerTeamBoards/boardTotal
1S.Chen🇨🇳 CHINA156+1.54+241.0
2Z.Yuan🇨🇳 CHINA156+1.54+241.0
3J.Boge🇺🇸 USA2216+1.33+287.0
4A.Silverstein🇺🇸 USA2216+1.33+287.0
5E.Xiao🇺🇸 USA1156+1.22+191.0
6J.Xiao🇺🇸 USA1156+1.22+191.0
7D.Katsakioris🇬🇷 GREECE144+1.22+176.0
8A.Pedmanson🇪🇪 ESTONIA228+1.14+260.0
9J.Vahk🇪🇪 ESTONIA228+1.14+260.0
10C.Chen🇺🇸 USA1156+1.05+164.0
11K.Ge🇺🇸 USA1156+1.05+164.0
12A.Beligianni🇬🇷 GREECE168+1.05+176.0
13H.Vinevich🇮🇱 ISRAEL108+0.94+101.0
14S.Zaidenberg Gatt🇮🇱 ISRAEL108+0.94+101.0
15K.Austad🇳🇴 NORWAY216+0.84+182.0
16E.Osen🇳🇴 NORWAY216+0.84+182.0
17B.Biborka🇭🇺 HUNGARY156+0.81+127.0
18M.Juhasz-Molnar🇭🇺 HUNGARY156+0.81+127.0
19A.Chen🇺🇸 USA1144+0.78+112.0
20B.Zhang🇺🇸 USA1144+0.78+112.0
21A.Bukat🇵🇱 POLAND192+0.69+132.0
22M.Klimiuk🇵🇱 POLAND192+0.69+132.0
23K.Kisielewski🇵🇱 POLAND108+0.68+73.0
24J.Michalski🇵🇱 POLAND108+0.68+73.0
25C.Chan🇹🇼 CHINESE TAIPEI132+0.52+68.0
26Y.Cheng🇹🇼 CHINESE TAIPEI132+0.52+68.0
27T.Altun🇹🇷 TURKIYE204+0.49+99.0
28Z.Tort🇹🇷 TURKIYE204+0.49+99.0
29M.Cayla🇫🇷 FRANCE132+0.48+63.0
30T.Exbrayat🇫🇷 FRANCE132+0.48+63.0
31X.Tang🇨🇳 CHINA156+0.42+66.0
32Z.Zhang🇨🇳 CHINA156+0.42+66.0
33T.Xiao🇨🇦 CANADA192+0.41+78.0
34M.Yang🇨🇦 CANADA192+0.41+78.0
35C.Lu🇹🇼 CHINESE TAIPEI192+0.38+73.0
36C.Peng🇹🇼 CHINESE TAIPEI192+0.38+73.0
37R.Hui🇭🇰 HONG KONG CHINA144+0.29+42.0
38J.Kwok🇭🇰 HONG KONG CHINA144+0.29+42.0
39G.Szabo🇭🇺 HUNGARY156+0.29+45.0
40Z.Zabradi🇭🇺 HUNGARY156+0.29+45.0
41M.Cai🇭🇰 HONG KONG CHINA156+0.28+44.0
42K.Mak🇭🇰 HONG KONG CHINA156+0.28+44.0
43K.Recicarova🇨🇿 CZECH REPUBLIC180+0.22+40.0
44P.Slovakova🇨🇿 CZECH REPUBLIC180+0.22+40.0
45A.Kovacs🇭🇺 HUNGARY144+0.19+27.0
46D.Tokes🇭🇺 HUNGARY144+0.19+27.0
47T.Bradkin🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND144+0.12+17.0
48H.Cork🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND144+0.12+17.0
49S.Allas🇪🇪 ESTONIA192+0.02+3.0
50S.Grabala🇵🇱 POLAND156-0.04-6.0
51J.Luczeczko🇵🇱 POLAND156-0.04-6.0
52P.Karlik🇨🇿 CZECH REPUBLIC192-0.04-8.0
53F.Kubat🇨🇿 CZECH REPUBLIC192-0.04-8.0
54J.Brekke🇳🇴 NORWAY120-0.05-6.0
55S.Lillejord🇳🇴 NORWAY120-0.05-6.0
56S.Janwongkit🇹🇭 THAILAND156-0.06-10.0
57H.Wang🇨🇳 CHINA144-0.10-15.0
58H.Yu🇨🇳 CHINA144-0.10-15.0
59E.Gisin🇮🇱 ISRAEL192-0.10-20.0
60Y.Shor🇮🇱 ISRAEL192-0.10-20.0
61E.Orma🇪🇪 ESTONIA228-0.11-26.0
62S.Jittariyapong🇹🇭 THAILAND180-0.14-26.0
63P.Goyal🇮🇳 INDIA156-0.16-25.0
64G.Duterte🇫🇷 FRANCE156-0.18-28.0
65X.Roulle🇫🇷 FRANCE156-0.18-28.0
66I.Mathisen🇳🇴 NORWAY120-0.21-25.0
67M.Moe🇳🇴 NORWAY120-0.21-25.0
68S.Saengtuen🇹🇭 THAILAND216-0.24-51.0
69C.Saisith🇹🇭 THAILAND216-0.24-51.0
70W.Battersby🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND156-0.24-38.0
71A.Parekh🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND156-0.24-38.0
72T.Vellios🇬🇷 GREECE132-0.25-33.0
73T.Blomsteel🇳🇱 NETHERLANDS144-0.27-39.0
74K.Visser🇳🇱 NETHERLANDS144-0.27-39.0
75C.Daldal🇹🇷 TURKIYE216-0.34-74.0
76B.Yildirim🇹🇷 TURKIYE216-0.34-74.0
77R.Jahagirdar🇮🇳 INDIA168-0.38-64.0
78I.Herbst🇮🇱 ISRAEL156-0.42-65.0
79A.Zaidenberg Gatt🇮🇱 ISRAEL156-0.42-65.0
80H.Chung🇭🇰 HONG KONG CHINA155-0.43-67.0
81K.Fung🇭🇰 HONG KONG CHINA155-0.43-67.0
82H.Xing🇨🇦 CANADA120-0.46-55.0
83H.Xing🇨🇦 CANADA120-0.46-55.0
84A.Birdsall🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND156-0.50-78.0
85M.Blicharz🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND156-0.50-78.0
86P.Hammelev🇩🇰 DENMARK228-0.53-121.0
87M.Larsen🇩🇰 DENMARK228-0.53-121.0
88D.Chen🇹🇼 CHINESE TAIPEI132-0.59-78.0
89Z.Lai🇹🇼 CHINESE TAIPEI132-0.59-78.0
90S.Gallard🇫🇷 FRANCE168-0.61-103.0
91Z.Sueur🇫🇷 FRANCE168-0.61-103.0
92T.Oikonomou🇬🇷 GREECE156-0.67-105.0
93A.Zodypache🇮🇳 INDIA132-0.70-92.0
94C.Kloppert🇳🇱 NETHERLANDS156-0.87-135.0
95R.Van Zandbeek🇳🇱 NETHERLANDS156-0.87-135.0
96S.Satish🇮🇳 INDIA144-0.88-127.0
97C.Ben Guigui🇬🇷 GREECE168-0.98-165.0
98C.Zeeberg🇩🇰 DENMARK228-1.00-227.0
99F.Zeeberg🇩🇰 DENMARK228-1.00-227.0
100D.Balof🇺🇸 USA2204-1.08-220.0
101E.Derman🇺🇸 USA2204-1.08-220.0
102K.Skourtsidis🇬🇷 GREECE144-1.27-183.0
103L.Hakvoort🇳🇱 NETHERLANDS156-1.28-199.0
104P.Ter Maat🇳🇱 NETHERLANDS156-1.28-199.0
105N.Muthuswamy🇮🇳 INDIA156-1.63-255.0
106T.Chowdhury🇮🇳 INDIA156-1.66-259.0
107E.Lu🇨🇦 CANADA144-1.97-283.0
108V.Qian🇨🇦 CANADA144-1.97-283.0
109J.Drozd🇨🇿 CZECH REPUBLIC83+0.05+4.0
110M.Pilat🇨🇿 CZECH REPUBLIC83+0.05+4.0
111D.Akyurek🇹🇷 TURKIYE36-0.36-13.0
112T.Gungor🇹🇷 TURKIYE36-0.36-13.0
113C.Inthawong🇹🇭 THAILAND60-0.45-27.0
114T.Roekdeetawekoon🇹🇭 THAILAND84-0.51-43.0
115C.Cao🇺🇸 USA236-0.69-25.0
116J.Yin🇺🇸 USA236-0.69-25.0
117H.Sepp🇪🇪 ESTONIA36-0.81-29.0

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.

#PlayerTeamLeadsOn targetConceded
1B.Zhang🇺🇸 USA13691.7%0.08
2R.Jahagirdar🇮🇳 INDIA3390.9%0.12
3Z.Lai🇹🇼 CHINESE TAIPEI3290.6%0.12
4R.Van Zandbeek🇳🇱 NETHERLANDS3889.5%0.10
5D.Tokes🇭🇺 HUNGARY2889.3%0.14
6T.Vellios🇬🇷 GREECE3688.9%0.14
7S.Zaidenberg Gatt🇮🇱 ISRAEL3488.2%0.15
8C.Daldal🇹🇷 TURKIYE4887.5%0.12
9K.Recicarova🇨🇿 CZECH REPUBLIC4787.2%0.19
10C.Ben Guigui🇬🇷 GREECE3886.8%0.16
11S.Allas🇪🇪 ESTONIA4586.7%0.13
12H.Yu🇨🇳 CHINA3786.5%0.24
13K.Fung🇭🇰 HONG KONG CHINA2986.2%0.14
14E.Gisin🇮🇱 ISRAEL4386.0%0.16
15J.Boge🇺🇸 USA25585.5%0.14
16M.Blicharz🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND3485.3%0.27
17K.Mak🇭🇰 HONG KONG CHINA2785.2%0.15
18P.Hammelev🇩🇰 DENMARK4785.1%0.19
19T.Bradkin🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND3384.8%0.15
20M.Larsen🇩🇰 DENMARK5284.6%0.21
21K.Austad🇳🇴 NORWAY4484.1%0.18
22S.Jittariyapong🇹🇭 THAILAND4484.1%0.23
23F.Zeeberg🇩🇰 DENMARK5683.9%0.21
24E.Orma🇪🇪 ESTONIA7483.8%0.24
25K.Ge🇺🇸 USA13683.3%0.19
26A.Zodypache🇮🇳 INDIA3083.3%0.20
27I.Herbst🇮🇱 ISRAEL4182.9%0.20
28D.Chen🇹🇼 CHINESE TAIPEI3582.9%0.20
29T.Oikonomou🇬🇷 GREECE4082.5%0.28
30A.Beligianni🇬🇷 GREECE3482.4%0.18
31B.Biborka🇭🇺 HUNGARY3982.1%0.20
32A.Kovacs🇭🇺 HUNGARY3982.1%0.23
33S.Saengtuen🇹🇭 THAILAND5082.0%0.18
34A.Birdsall🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND3381.8%0.18
35T.Altun🇹🇷 TURKIYE5581.8%0.22
36M.Cayla🇫🇷 FRANCE2281.8%0.23
37S.Grabala🇵🇱 POLAND3381.8%0.27
38Z.Zabradi🇭🇺 HUNGARY4381.4%0.37
39I.Mathisen🇳🇴 NORWAY2680.8%0.19
40M.Juhasz-Molnar🇭🇺 HUNGARY5280.8%0.19
41A.Pedmanson🇪🇪 ESTONIA5280.8%0.31
42K.Visser🇳🇱 NETHERLANDS3680.6%0.22
43J.Brekke🇳🇴 NORWAY3180.6%0.23
44T.Blomsteel🇳🇱 NETHERLANDS3180.6%0.29
45A.Silverstein🇺🇸 USA25580.0%0.20
46E.Xiao🇺🇸 USA14080.0%0.23
47Z.Zhang🇨🇳 CHINA3580.0%0.23
48D.Balof🇺🇸 USA24580.0%0.27
49R.Hui🇭🇰 HONG KONG CHINA3979.5%0.23
50A.Zaidenberg Gatt🇮🇱 ISRAEL3479.4%0.27
51C.Zeeberg🇩🇰 DENMARK6779.1%0.24
52P.Slovakova🇨🇿 CZECH REPUBLIC5278.8%0.21
53Y.Shor🇮🇱 ISRAEL6178.7%0.23
54T.Xiao🇨🇦 CANADA4278.6%0.21
55E.Osen🇳🇴 NORWAY7078.6%0.26
56P.Goyal🇮🇳 INDIA4278.6%0.31
57J.Michalski🇵🇱 POLAND3778.4%0.24
58T.Chowdhury🇮🇳 INDIA3778.4%0.27
59P.Karlik🇨🇿 CZECH REPUBLIC5178.4%0.28
60M.Yang🇨🇦 CANADA5578.2%0.26
61Y.Cheng🇹🇼 CHINESE TAIPEI3278.1%0.25
62S.Satish🇮🇳 INDIA3177.4%0.29
63M.Klimiuk🇵🇱 POLAND4877.1%0.27
64M.Cai🇭🇰 HONG KONG CHINA4877.1%0.33
65X.Roulle🇫🇷 FRANCE4776.6%0.26
66K.Kisielewski🇵🇱 POLAND1776.5%0.29
67H.Xing🇨🇦 CANADA3476.5%0.38
68Z.Sueur🇫🇷 FRANCE3876.3%0.26
69A.Bukat🇵🇱 POLAND4676.1%0.26
70C.Lu🇹🇼 CHINESE TAIPEI5076.0%0.26
71M.Moe🇳🇴 NORWAY2975.9%0.31
72X.Tang🇨🇳 CHINA3775.7%0.38
73J.Vahk🇪🇪 ESTONIA4575.6%0.24
74E.Derman🇺🇸 USA25375.5%0.32
75H.Vinevich🇮🇱 ISRAEL2075.0%0.30
76L.Hakvoort🇳🇱 NETHERLANDS4075.0%0.33
77T.Exbrayat🇫🇷 FRANCE3675.0%0.33
78S.Chen🇨🇳 CHINA3275.0%0.34
79P.Ter Maat🇳🇱 NETHERLANDS4374.4%0.30
80W.Battersby🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND3574.3%0.31
81C.Kloppert🇳🇱 NETHERLANDS4273.8%0.33
82C.Chan🇹🇼 CHINESE TAIPEI3473.5%0.32
83D.Katsakioris🇬🇷 GREECE4173.2%0.27
84V.Qian🇨🇦 CANADA2673.1%0.31
85S.Gallard🇫🇷 FRANCE4872.9%0.40
86J.Kwok🇭🇰 HONG KONG CHINA4472.7%0.32
87A.Parekh🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND4472.7%0.32
88H.Cork🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND3372.7%0.48
89N.Muthuswamy🇮🇳 INDIA4072.5%0.35
90B.Yildirim🇹🇷 TURKIYE6572.3%0.32
91G.Szabo🇭🇺 HUNGARY5072.0%0.28
92C.Chen🇺🇸 USA13971.8%0.31
93Z.Tort🇹🇷 TURKIYE6071.7%0.30
94S.Janwongkit🇹🇭 THAILAND4671.7%0.35
95C.Saisith🇹🇭 THAILAND5371.7%0.47
96J.Xiao🇺🇸 USA13070.0%0.30
97H.Wang🇨🇳 CHINA3070.0%0.50
98E.Lu🇨🇦 CANADA3969.2%0.33
99K.Skourtsidis🇬🇷 GREECE3868.4%0.37
100Z.Yuan🇨🇳 CHINA4468.2%0.36
101G.Duterte🇫🇷 FRANCE2568.0%0.36
102J.Luczeczko🇵🇱 POLAND4967.3%0.43
103C.Peng🇹🇼 CHINESE TAIPEI4967.3%0.43
104F.Kubat🇨🇿 CZECH REPUBLIC4866.7%0.38
105S.Lillejord🇳🇴 NORWAY2665.4%0.42
106H.Chung🇭🇰 HONG KONG CHINA3964.1%0.39
107A.Chen🇺🇸 USA14062.5%0.57
108H.Xing🇨🇦 CANADA2958.6%0.52
109H.Sepp🇪🇪 ESTONIA8100.0%0.00
110J.Yin🇺🇸 USA2887.5%0.12
111T.Gungor🇹🇷 TURKIYE887.5%0.25
112M.Pilat🇨🇿 CZECH REPUBLIC2483.3%0.17
113D.Akyurek🇹🇷 TURKIYE1181.8%0.18
114C.Inthawong🇹🇭 THAILAND1776.5%0.23
115J.Drozd🇨🇿 CZECH REPUBLIC2166.7%0.38
116T.Roekdeetawekoon🇹🇭 THAILAND2360.9%0.39
117C.Cao🇺🇸 USA2850.0%0.75

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.

#PlayerTeamContractsOn targetConceded
1T.Bradkin🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND3290.6%0.16
2Z.Yuan🇨🇳 CHINA4290.5%0.12
3S.Lillejord🇳🇴 NORWAY3090.0%0.10
4C.Chan🇹🇼 CHINESE TAIPEI3989.7%0.13
5K.Austad🇳🇴 NORWAY5789.5%0.12
6R.Hui🇭🇰 HONG KONG CHINA2788.9%0.15
7A.Bukat🇵🇱 POLAND5787.7%0.12
8G.Szabo🇭🇺 HUNGARY3086.7%0.13
9E.Xiao🇺🇸 USA15186.3%0.14
10C.Peng🇹🇼 CHINESE TAIPEI4185.4%0.15
11G.Duterte🇫🇷 FRANCE4082.5%0.23
12B.Zhang🇺🇸 USA13982.1%0.20
13S.Jittariyapong🇹🇭 THAILAND5082.0%0.32
14J.Kwok🇭🇰 HONG KONG CHINA3381.8%0.24
15Z.Tort🇹🇷 TURKIYE4281.0%0.21
16S.Gallard🇫🇷 FRANCE4780.9%0.26
17C.Lu🇹🇼 CHINESE TAIPEI5180.4%0.29
18J.Michalski🇵🇱 POLAND2580.0%0.24
19W.Battersby🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND4580.0%0.27
20I.Mathisen🇳🇴 NORWAY2580.0%0.28
21K.Recicarova🇨🇿 CZECH REPUBLIC3580.0%0.29
22H.Xing🇨🇦 CANADA3580.0%0.29
23J.Vahk🇪🇪 ESTONIA7879.5%0.26
24J.Xiao🇺🇸 USA13479.4%0.29
25K.Kisielewski🇵🇱 POLAND2979.3%0.31
26K.Mak🇭🇰 HONG KONG CHINA3878.9%0.32
27M.Cayla🇫🇷 FRANCE3378.8%0.30
28J.Luczeczko🇵🇱 POLAND4678.3%0.28
29C.Ben Guigui🇬🇷 GREECE5078.0%0.32
30Y.Cheng🇹🇼 CHINESE TAIPEI2777.8%0.22
31A.Beligianni🇬🇷 GREECE4577.8%0.24
32S.Chen🇨🇳 CHINA3677.8%0.25
33A.Pedmanson🇪🇪 ESTONIA5377.4%0.26
34Y.Shor🇮🇱 ISRAEL4477.3%0.25
35E.Derman🇺🇸 USA25777.2%0.28
36S.Zaidenberg Gatt🇮🇱 ISRAEL3076.7%0.30
37D.Tokes🇭🇺 HUNGARY3876.3%0.32
38P.Slovakova🇨🇿 CZECH REPUBLIC4676.1%0.30
39Z.Zabradi🇭🇺 HUNGARY3375.8%0.30
40M.Klimiuk🇵🇱 POLAND4175.6%0.34
41J.Boge🇺🇸 USA24475.0%0.25
42H.Chung🇭🇰 HONG KONG CHINA3974.4%0.31
43M.Moe🇳🇴 NORWAY3974.4%0.33
44T.Xiao🇨🇦 CANADA4374.4%0.37
45A.Zodypache🇮🇳 INDIA3574.3%0.29
46A.Parekh🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND3174.2%0.29
47F.Kubat🇨🇿 CZECH REPUBLIC4273.8%0.26
48C.Chen🇺🇸 USA13873.7%0.40
49X.Tang🇨🇳 CHINA4573.3%0.38
50T.Vellios🇬🇷 GREECE2272.7%0.27
51T.Altun🇹🇷 TURKIYE4772.3%0.32
52P.Hammelev🇩🇰 DENMARK5472.2%0.41
53Z.Lai🇹🇼 CHINESE TAIPEI3271.9%0.44
54Z.Zhang🇨🇳 CHINA3971.8%0.31
55H.Yu🇨🇳 CHINA3971.8%0.36
56M.Larsen🇩🇰 DENMARK7471.6%0.34
57M.Cai🇭🇰 HONG KONG CHINA4271.4%0.41
58B.Yildirim🇹🇷 TURKIYE5971.2%0.30
59D.Katsakioris🇬🇷 GREECE3171.0%0.35
60R.Van Zandbeek🇳🇱 NETHERLANDS3470.6%0.41
61B.Biborka🇭🇺 HUNGARY2770.4%0.33
62T.Blomsteel🇳🇱 NETHERLANDS3070.0%0.33
63K.Ge🇺🇸 USA14369.8%0.40
64D.Chen🇹🇼 CHINESE TAIPEI3369.7%0.33
65S.Satish🇮🇳 INDIA3969.2%0.39
66K.Fung🇭🇰 HONG KONG CHINA4868.8%0.40
67P.Karlik🇨🇿 CZECH REPUBLIC5168.6%0.47
68S.Saengtuen🇹🇭 THAILAND5468.5%0.32
69E.Orma🇪🇪 ESTONIA5468.5%0.50
70H.Wang🇨🇳 CHINA3868.4%0.42
71M.Juhasz-Molnar🇭🇺 HUNGARY3868.4%0.42
72T.Exbrayat🇫🇷 FRANCE4168.3%0.49
73A.Birdsall🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND4468.2%0.41
74T.Chowdhury🇮🇳 INDIA4768.1%0.43
75S.Grabala🇵🇱 POLAND2867.9%0.36
76A.Silverstein🇺🇸 USA26267.7%0.45
77M.Yang🇨🇦 CANADA5267.3%0.52
78A.Zaidenberg Gatt🇮🇱 ISRAEL3666.7%0.36
79I.Herbst🇮🇱 ISRAEL4566.7%0.40
80C.Kloppert🇳🇱 NETHERLANDS4266.7%0.55
81K.Skourtsidis🇬🇷 GREECE2766.7%0.63
82C.Daldal🇹🇷 TURKIYE4465.9%0.48
83S.Allas🇪🇪 ESTONIA3865.8%0.42
84H.Cork🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND4665.2%0.39
85T.Oikonomou🇬🇷 GREECE5364.2%0.47
86A.Kovacs🇭🇺 HUNGARY3964.1%0.41
87S.Janwongkit🇹🇭 THAILAND3663.9%0.36
88J.Brekke🇳🇴 NORWAY3363.6%0.58
89C.Zeeberg🇩🇰 DENMARK4062.5%0.50
90E.Osen🇳🇴 NORWAY4562.2%0.42
91A.Chen🇺🇸 USA12962.1%0.41
92F.Zeeberg🇩🇰 DENMARK6561.5%0.55
93D.Balof🇺🇸 USA24961.2%0.53
94C.Saisith🇹🇭 THAILAND5961.0%0.53
95P.Ter Maat🇳🇱 NETHERLANDS3360.6%0.64
96R.Jahagirdar🇮🇳 INDIA5259.6%0.60
97E.Lu🇨🇦 CANADA3759.5%0.57
98H.Vinevich🇮🇱 ISRAEL2458.3%0.62
99E.Gisin🇮🇱 ISRAEL4358.1%0.65
100P.Goyal🇮🇳 INDIA3357.6%0.67
101L.Hakvoort🇳🇱 NETHERLANDS4057.5%0.70
102X.Roulle🇫🇷 FRANCE4355.8%0.58
103M.Blicharz🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND4555.6%0.56
104N.Muthuswamy🇮🇳 INDIA3548.6%0.80
105K.Visser🇳🇱 NETHERLANDS4647.8%0.85
106Z.Sueur🇫🇷 FRANCE3447.1%0.71
107V.Qian🇨🇦 CANADA4143.9%0.76
108H.Xing🇨🇦 CANADA2240.9%0.82
109H.Sepp🇪🇪 ESTONIA875.0%0.25
110D.Akyurek🇹🇷 TURKIYE771.4%0.43
111T.Gungor🇹🇷 TURKIYE1070.0%0.30
112J.Yin🇺🇸 USA21070.0%0.60
113M.Pilat🇨🇿 CZECH REPUBLIC2065.0%0.55
114J.Drozd🇨🇿 CZECH REPUBLIC1855.6%0.44
115C.Inthawong🇹🇭 THAILAND955.6%0.67
116T.Roekdeetawekoon🇹🇭 THAILAND1553.3%0.80
117C.Cao🇺🇸 USA21020.0%1.10

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.

#PlayerTeamBoardsOn targetConceded
1X.Tang🇨🇳 CHINA7288.9%0.14
2Z.Zhang🇨🇳 CHINA7288.9%0.14
3A.Pedmanson🇪🇪 ESTONIA9788.7%0.14
4J.Vahk🇪🇪 ESTONIA9788.7%0.14
5K.Austad🇳🇴 NORWAY11488.6%0.17
6E.Osen🇳🇴 NORWAY11488.6%0.17
7S.Chen🇨🇳 CHINA7688.2%0.13
8Z.Yuan🇨🇳 CHINA7688.2%0.13
9C.Chan🇹🇼 CHINESE TAIPEI6687.9%0.14
10Y.Cheng🇹🇼 CHINESE TAIPEI6687.9%0.14
11A.Bukat🇵🇱 POLAND9487.2%0.16
12M.Klimiuk🇵🇱 POLAND9487.2%0.16
13K.Kisielewski🇵🇱 POLAND5487.0%0.18
14J.Michalski🇵🇱 POLAND5487.0%0.18
15A.Chen🇺🇸 USA17686.8%0.14
16B.Zhang🇺🇸 USA17686.8%0.14
17M.Cayla🇫🇷 FRANCE5886.2%0.14
18T.Exbrayat🇫🇷 FRANCE5886.2%0.14
19T.Vellios🇬🇷 GREECE6586.2%0.15
20E.Xiao🇺🇸 USA17085.7%0.14
21J.Xiao🇺🇸 USA17085.7%0.14
22E.Gisin🇮🇱 ISRAEL10485.6%0.15
23Y.Shor🇮🇱 ISRAEL10485.6%0.15
24A.Kovacs🇭🇺 HUNGARY6785.1%0.18
25D.Tokes🇭🇺 HUNGARY6785.1%0.18
26D.Katsakioris🇬🇷 GREECE7284.7%0.21
27R.Hui🇭🇰 HONG KONG CHINA8384.3%0.22
28J.Kwok🇭🇰 HONG KONG CHINA8384.3%0.22
29S.Janwongkit🇹🇭 THAILAND8783.9%0.20
30C.Lu🇹🇼 CHINESE TAIPEI9983.8%0.23
31C.Peng🇹🇼 CHINESE TAIPEI9983.8%0.23
32H.Wang🇨🇳 CHINA6783.6%0.21
33H.Yu🇨🇳 CHINA6783.6%0.21
34S.Saengtuen🇹🇭 THAILAND10383.5%0.19
35C.Saisith🇹🇭 THAILAND10383.5%0.19
36H.Chung🇭🇰 HONG KONG CHINA6882.4%0.19
37K.Fung🇭🇰 HONG KONG CHINA6882.4%0.19
38T.Blomsteel🇳🇱 NETHERLANDS6782.1%0.24
39K.Visser🇳🇱 NETHERLANDS6782.1%0.24
40P.Karlik🇨🇿 CZECH REPUBLIC9981.8%0.24
41F.Kubat🇨🇿 CZECH REPUBLIC9981.8%0.24
42T.Oikonomou🇬🇷 GREECE7681.6%0.20
43D.Balof🇺🇸 USA29881.6%0.26
44E.Derman🇺🇸 USA29881.6%0.26
45A.Beligianni🇬🇷 GREECE8581.2%0.23
46T.Altun🇹🇷 TURKIYE11580.9%0.24
47Z.Tort🇹🇷 TURKIYE11580.9%0.24
48K.Recicarova🇨🇿 CZECH REPUBLIC9980.8%0.24
49P.Slovakova🇨🇿 CZECH REPUBLIC9980.8%0.24
50C.Ben Guigui🇬🇷 GREECE8380.7%0.24
51S.Allas🇪🇪 ESTONIA10779.4%0.25
52J.Boge🇺🇸 USA211079.1%0.23
53A.Silverstein🇺🇸 USA211079.1%0.23
54S.Jittariyapong🇹🇭 THAILAND9078.9%0.24
55C.Zeeberg🇩🇰 DENMARK12378.9%0.30
56F.Zeeberg🇩🇰 DENMARK12378.9%0.30
57C.Chen🇺🇸 USA17578.7%0.23
58K.Ge🇺🇸 USA17578.7%0.23
59K.Skourtsidis🇬🇷 GREECE7378.1%0.27
60S.Grabala🇵🇱 POLAND8278.0%0.26
61J.Luczeczko🇵🇱 POLAND8278.0%0.26
62E.Orma🇪🇪 ESTONIA12778.0%0.27
63B.Biborka🇭🇺 HUNGARY9178.0%0.29
64M.Juhasz-Molnar🇭🇺 HUNGARY9178.0%0.29
65H.Vinevich🇮🇱 ISRAEL5477.8%0.30
66S.Zaidenberg Gatt🇮🇱 ISRAEL5477.8%0.30
67N.Muthuswamy🇮🇳 INDIA7277.8%0.31
68D.Chen🇹🇼 CHINESE TAIPEI6777.6%0.31
69Z.Lai🇹🇼 CHINESE TAIPEI6777.6%0.31
70T.Xiao🇨🇦 CANADA9777.3%0.28
71M.Yang🇨🇦 CANADA9777.3%0.28
72T.Bradkin🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND6677.3%0.29
73H.Cork🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND6677.3%0.29
74S.Gallard🇫🇷 FRANCE8676.7%0.29
75Z.Sueur🇫🇷 FRANCE8676.7%0.29
76I.Mathisen🇳🇴 NORWAY5576.4%0.29
77M.Moe🇳🇴 NORWAY5576.4%0.29
78G.Szabo🇭🇺 HUNGARY9376.3%0.31
79Z.Zabradi🇭🇺 HUNGARY9376.3%0.31
80M.Cai🇭🇰 HONG KONG CHINA7576.0%0.31
81K.Mak🇭🇰 HONG KONG CHINA7576.0%0.31
82G.Duterte🇫🇷 FRANCE7275.0%0.31
83X.Roulle🇫🇷 FRANCE7275.0%0.31
84P.Hammelev🇩🇰 DENMARK9974.7%0.31
85M.Larsen🇩🇰 DENMARK9974.7%0.31
86A.Birdsall🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND6774.6%0.31
87M.Blicharz🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND6774.6%0.31
88H.Xing🇨🇦 CANADA6374.6%0.33
89H.Xing🇨🇦 CANADA6374.6%0.33
90C.Daldal🇹🇷 TURKIYE11374.3%0.32
91B.Yildirim🇹🇷 TURKIYE11374.3%0.32
92P.Goyal🇮🇳 INDIA7774.0%0.34
93T.Chowdhury🇮🇳 INDIA6972.5%0.38
94J.Brekke🇳🇴 NORWAY5771.9%0.40
95S.Lillejord🇳🇴 NORWAY5771.9%0.40
96C.Kloppert🇳🇱 NETHERLANDS8071.2%0.39
97R.Van Zandbeek🇳🇱 NETHERLANDS8071.2%0.39
98W.Battersby🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND7970.9%0.38
99A.Parekh🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND7970.9%0.38
100L.Hakvoort🇳🇱 NETHERLANDS8369.9%0.40
101P.Ter Maat🇳🇱 NETHERLANDS8369.9%0.40
102A.Zodypache🇮🇳 INDIA5969.5%0.39
103I.Herbst🇮🇱 ISRAEL7569.3%0.44
104A.Zaidenberg Gatt🇮🇱 ISRAEL7569.3%0.44
105S.Satish🇮🇳 INDIA6768.7%0.42
106R.Jahagirdar🇮🇳 INDIA8268.3%0.43
107E.Lu🇨🇦 CANADA6564.6%0.41
108V.Qian🇨🇦 CANADA6564.6%0.41
109C.Inthawong🇹🇭 THAILAND4087.5%0.17
110D.Akyurek🇹🇷 TURKIYE1978.9%0.32
111T.Gungor🇹🇷 TURKIYE1978.9%0.32
112T.Roekdeetawekoon🇹🇭 THAILAND4376.7%0.28
113J.Drozd🇨🇿 CZECH REPUBLIC4575.6%0.36
114M.Pilat🇨🇿 CZECH REPUBLIC4575.6%0.36
115H.Sepp🇪🇪 ESTONIA2070.0%0.35
116C.Cao🇺🇸 USA21668.8%0.31
117J.Yin🇺🇸 USA21668.8%0.31

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.

#PlayerTeamBidsNot passActive %
1J.Vahk🇪🇪 ESTONIA61031752.0%
2X.Tang🇨🇳 CHINA41020349.5%
3A.Pedmanson🇪🇪 ESTONIA61330249.3%
4H.Yu🇨🇳 CHINA39619549.2%
5M.Larsen🇩🇰 DENMARK61830349.0%
6J.Xiao🇺🇸 USA140920048.9%
7H.Cork🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND39418747.5%
8C.Saisith🇹🇭 THAILAND58827646.9%
9Z.Zhang🇨🇳 CHINA41119246.7%
10S.Saengtuen🇹🇭 THAILAND58627246.4%
11E.Xiao🇺🇸 USA141219146.4%
12A.Kovacs🇭🇺 HUNGARY37717546.4%
13V.Qian🇨🇦 CANADA36316846.3%
14X.Roulle🇫🇷 FRANCE42219446.0%
15H.Chung🇭🇰 HONG KONG CHINA38917946.0%
16A.Birdsall🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND40718745.9%
17T.Oikonomou🇬🇷 GREECE43019745.8%
18P.Goyal🇮🇳 INDIA43419845.6%
19D.Chen🇹🇼 CHINESE TAIPEI37317045.6%
20S.Jittariyapong🇹🇭 THAILAND47721745.5%
21C.Ben Guigui🇬🇷 GREECE45720845.5%
22A.Zaidenberg Gatt🇮🇱 ISRAEL40018245.5%
23R.Jahagirdar🇮🇳 INDIA46921345.4%
24H.Wang🇨🇳 CHINA40318345.4%
25A.Silverstein🇺🇸 USA257426045.3%
26M.Cai🇭🇰 HONG KONG CHINA39617945.2%
27A.Bukat🇵🇱 POLAND50222645.0%
28J.Luczeczko🇵🇱 POLAND41118444.8%
29P.Hammelev🇩🇰 DENMARK62327844.6%
30M.Blicharz🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND39717744.6%
31K.Fung🇭🇰 HONG KONG CHINA39217544.6%
32T.Bradkin🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND40417944.3%
33K.Ge🇺🇸 USA142518844.2%
34K.Kisielewski🇵🇱 POLAND28512644.2%
35M.Cayla🇫🇷 FRANCE34415143.9%
36T.Chowdhury🇮🇳 INDIA42218543.8%
37A.Chen🇺🇸 USA139517343.8%
38C.Chan🇹🇼 CHINESE TAIPEI35615643.8%
39T.Exbrayat🇫🇷 FRANCE34615143.6%
40G.Duterte🇫🇷 FRANCE41618143.5%
41H.Vinevich🇮🇱 ISRAEL28112243.4%
42E.Orma🇪🇪 ESTONIA59325743.3%
43M.Moe🇳🇴 NORWAY30013043.3%
44J.Brekke🇳🇴 NORWAY33114343.2%
45S.Satish🇮🇳 INDIA38016342.9%
46A.Parekh🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND40017142.8%
47F.Zeeberg🇩🇰 DENMARK57924742.7%
48D.Tokes🇭🇺 HUNGARY38416442.7%
49A.Zodypache🇮🇳 INDIA33514342.7%
50S.Gallard🇫🇷 FRANCE43918742.6%
51C.Chen🇺🇸 USA142017942.6%
52Z.Yuan🇨🇳 CHINA42317942.3%
53W.Battersby🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND40717242.3%
54A.Beligianni🇬🇷 GREECE45019042.2%
55B.Yildirim🇹🇷 TURKIYE57324041.9%
56J.Michalski🇵🇱 POLAND28912141.9%
57B.Zhang🇺🇸 USA139116341.7%
58E.Lu🇨🇦 CANADA36215141.7%
59E.Derman🇺🇸 USA254822841.6%
60H.Xing🇨🇦 CANADA31413041.4%
61D.Balof🇺🇸 USA255522941.3%
62F.Kubat🇨🇿 CZECH REPUBLIC50620941.3%
63Z.Sueur🇫🇷 FRANCE44518441.3%
64S.Janwongkit🇹🇭 THAILAND41217041.3%
65M.Yang🇨🇦 CANADA50520841.2%
66S.Chen🇨🇳 CHINA42517541.2%
67Z.Tort🇹🇷 TURKIYE54522441.1%
68C.Lu🇹🇼 CHINESE TAIPEI51821341.1%
69N.Muthuswamy🇮🇳 INDIA42417340.8%
70K.Mak🇭🇰 HONG KONG CHINA40516440.5%
71D.Katsakioris🇬🇷 GREECE38515640.5%
72R.Hui🇭🇰 HONG KONG CHINA37815340.5%
73Y.Cheng🇹🇼 CHINESE TAIPEI35414340.4%
74K.Visser🇳🇱 NETHERLANDS33913740.4%
75S.Zaidenberg Gatt🇮🇱 ISRAEL27511140.4%
76T.Xiao🇨🇦 CANADA50720440.2%
77P.Karlik🇨🇿 CZECH REPUBLIC51920840.1%
78I.Mathisen🇳🇴 NORWAY30212140.1%
79I.Herbst🇮🇱 ISRAEL40516240.0%
80S.Lillejord🇳🇴 NORWAY33113239.9%
81K.Austad🇳🇴 NORWAY58623339.8%
82C.Daldal🇹🇷 TURKIYE57522839.7%
83T.Altun🇹🇷 TURKIYE54121539.7%
84Y.Shor🇮🇱 ISRAEL52620939.7%
85Z.Lai🇹🇼 CHINESE TAIPEI37114739.6%
86J.Boge🇺🇸 USA257922839.4%
87C.Zeeberg🇩🇰 DENMARK58222839.2%
88C.Peng🇹🇼 CHINESE TAIPEI52320439.0%
89S.Grabala🇵🇱 POLAND41616238.9%
90K.Skourtsidis🇬🇷 GREECE38615038.9%
91J.Kwok🇭🇰 HONG KONG CHINA37014438.9%
92E.Gisin🇮🇱 ISRAEL51820138.8%
93R.Van Zandbeek🇳🇱 NETHERLANDS42316338.5%
94C.Kloppert🇳🇱 NETHERLANDS42716438.4%
95Z.Zabradi🇭🇺 HUNGARY42916438.2%
96P.Slovakova🇨🇿 CZECH REPUBLIC47318038.1%
97M.Klimiuk🇵🇱 POLAND51419537.9%
98K.Recicarova🇨🇿 CZECH REPUBLIC45817337.8%
99G.Szabo🇭🇺 HUNGARY43316337.6%
100T.Blomsteel🇳🇱 NETHERLANDS35813337.2%
101E.Osen🇳🇴 NORWAY58421637.0%
102L.Hakvoort🇳🇱 NETHERLANDS41315337.0%
103T.Vellios🇬🇷 GREECE37313837.0%
104M.Juhasz-Molnar🇭🇺 HUNGARY41515136.4%
105H.Xing🇨🇦 CANADA32011235.0%
106P.Ter Maat🇳🇱 NETHERLANDS41614534.9%
107S.Allas🇪🇪 ESTONIA50617434.4%
108B.Biborka🇭🇺 HUNGARY41614334.4%
109T.Roekdeetawekoon🇹🇭 THAILAND22310044.8%
110C.Cao🇺🇸 USA2964344.8%
111J.Yin🇺🇸 USA2974243.3%
112M.Pilat🇨🇿 CZECH REPUBLIC2269742.9%
113D.Akyurek🇹🇷 TURKIYE984141.8%
114T.Gungor🇹🇷 TURKIYE1003838.0%
115H.Sepp🇪🇪 ESTONIA983636.7%
116C.Inthawong🇹🇭 THAILAND1555334.2%
117J.Drozd🇨🇿 CZECH REPUBLIC2317632.9%

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.

#PlayerTeamBoardsOpp /bdRaw /bdAdj /bdΔ
1A.Chen🇺🇸 USA1144-0.14+1.52+1.38▲2
2B.Zhang🇺🇸 USA1144-0.14+1.52+1.38▲2
3A.Pedmanson🇪🇪 ESTONIA228-0.08+1.28+1.20▲2
4J.Vahk🇪🇪 ESTONIA228-0.08+1.28+1.20▲2
5A.Kovacs🇭🇺 HUNGARY144+0.10+0.93+1.03▲4
6D.Tokes🇭🇺 HUNGARY144+0.10+0.93+1.03▲4
7K.Kisielewski🇵🇱 POLAND108-0.68+1.55+0.87▼6
8J.Michalski🇵🇱 POLAND108-0.68+1.55+0.87▼6
9S.Chen🇨🇳 CHINA156-0.12+0.94+0.82▼2
10Z.Yuan🇨🇳 CHINA156-0.12+0.94+0.82▼2
11H.Wang🇨🇳 CHINA144+0.16+0.61+0.77▲10
12H.Yu🇨🇳 CHINA144+0.16+0.61+0.77▲10
13E.Xiao🇺🇸 USA1156+0.09+0.66+0.75▲2
14J.Xiao🇺🇸 USA1156+0.09+0.66+0.75▲2
15J.Boge🇺🇸 USA2216-0.07+0.75+0.68▼2
16A.Silverstein🇺🇸 USA2216-0.07+0.75+0.68▼2
17C.Chen🇺🇸 USA1156-0.20+0.82+0.62▼6
18K.Ge🇺🇸 USA1156-0.20+0.82+0.62▼6
19S.Grabala🇵🇱 POLAND156+0.16+0.37+0.54▲9
20J.Luczeczko🇵🇱 POLAND156+0.16+0.37+0.54▲9
21K.Austad🇳🇴 NORWAY216-0.06+0.56+0.50▲2
22E.Osen🇳🇴 NORWAY216-0.06+0.56+0.50▲2
23J.Brekke🇳🇴 NORWAY120+0.37+0.08+0.44▲32
24S.Lillejord🇳🇴 NORWAY120+0.37+0.08+0.44▲32
25G.Szabo🇭🇺 HUNGARY156-0.25+0.63+0.38▼8
26Z.Zabradi🇭🇺 HUNGARY156-0.25+0.63+0.38▼8
27C.Chan🇹🇼 CHINESE TAIPEI132-0.25+0.63+0.38▼8
28Y.Cheng🇹🇼 CHINESE TAIPEI132-0.25+0.63+0.38▼8
29D.Katsakioris🇬🇷 GREECE144-0.09+0.47+0.38▼2
30C.Lu🇹🇼 CHINESE TAIPEI192+0.12+0.20+0.31▲11
31C.Peng🇹🇼 CHINESE TAIPEI192+0.12+0.20+0.31▲11
32P.Karlik🇨🇿 CZECH REPUBLIC192+0.04+0.25+0.30▲6
33F.Kubat🇨🇿 CZECH REPUBLIC192+0.04+0.25+0.30▲6
34T.Altun🇹🇷 TURKIYE204+0.01+0.28+0.29▲2
35Z.Tort🇹🇷 TURKIYE204+0.01+0.28+0.29▲2
36A.Beligianni🇬🇷 GREECE168+0.06+0.21+0.26▲4
37D.Chen🇹🇼 CHINESE TAIPEI132+0.10+0.15+0.25▲12
38Z.Lai🇹🇼 CHINESE TAIPEI132+0.10+0.15+0.25▲12
39X.Tang🇨🇳 CHINA156-0.30+0.55+0.25▼14
40Z.Zhang🇨🇳 CHINA156-0.30+0.55+0.25▼14
41E.Gisin🇮🇱 ISRAEL192+0.16+0.05+0.20▲16
42Y.Shor🇮🇱 ISRAEL192+0.16+0.05+0.20▲16
43S.Saengtuen🇹🇭 THAILAND216-0.09+0.29+0.20▼11
44C.Saisith🇹🇭 THAILAND216-0.09+0.29+0.20▼11
45H.Chung🇭🇰 HONG KONG CHINA156+0.00+0.17+0.17·
46K.Fung🇭🇰 HONG KONG CHINA156+0.00+0.17+0.17·
47G.Duterte🇫🇷 FRANCE156-0.19+0.36+0.17▼17
48X.Roulle🇫🇷 FRANCE156-0.19+0.36+0.17▼17
49A.Bukat🇵🇱 POLAND192+0.12-0.02+0.10▲10
50M.Klimiuk🇵🇱 POLAND192+0.12-0.02+0.10▲10
51B.Biborka🇭🇺 HUNGARY156-0.03+0.11+0.08·
52M.Juhasz-Molnar🇭🇺 HUNGARY156-0.03+0.11+0.08·
53I.Herbst🇮🇱 ISRAEL156-0.11+0.19+0.08▼10
54A.Zaidenberg Gatt🇮🇱 ISRAEL156-0.11+0.19+0.08▼10
55K.Recicarova🇨🇿 CZECH REPUBLIC180-0.08+0.16+0.08▼8
56P.Slovakova🇨🇿 CZECH REPUBLIC180-0.08+0.16+0.08▼8
57M.Cai🇭🇰 HONG KONG CHINA156+0.10-0.05+0.05▲4
58K.Mak🇭🇰 HONG KONG CHINA156+0.10-0.05+0.05▲4
59T.Xiao🇨🇦 CANADA192+0.11-0.06+0.05▲4
60M.Yang🇨🇦 CANADA192+0.11-0.06+0.05▲4
61A.Zodypache🇮🇳 INDIA132+0.12-0.10+0.02▲4
62A.Birdsall🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND156-0.08+0.08-0.00▼9
63M.Blicharz🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND156-0.08+0.08-0.00▼9
64I.Mathisen🇳🇴 NORWAY120-0.32+0.28-0.04▼30
65M.Moe🇳🇴 NORWAY120-0.32+0.28-0.04▼30
66D.Balof🇺🇸 USA2204+0.18-0.26-0.07▲7
67E.Derman🇺🇸 USA2204+0.18-0.26-0.07▲7
68C.Daldal🇹🇷 TURKIYE216+0.09-0.19-0.10▼1
69B.Yildirim🇹🇷 TURKIYE216+0.09-0.19-0.10▼1
70S.Satish🇮🇳 INDIA144+0.10-0.21-0.10▼1
71M.Cayla🇫🇷 FRANCE132+0.01-0.31-0.29▲4
72T.Exbrayat🇫🇷 FRANCE132+0.01-0.31-0.29▲4
73C.Ben Guigui🇬🇷 GREECE168-0.19-0.11-0.30▼7
74T.Bradkin🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND144+0.07-0.37-0.30▲7
75H.Cork🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND144+0.07-0.37-0.30▲7
76S.Gallard🇫🇷 FRANCE168+0.13-0.44-0.31▲7
77Z.Sueur🇫🇷 FRANCE168+0.13-0.44-0.31▲7
78S.Allas🇪🇪 ESTONIA192+0.03-0.34-0.31▼1
79E.Orma🇪🇪 ESTONIA228+0.02-0.37-0.35▲1
80R.Hui🇭🇰 HONG KONG CHINA144-0.15-0.24-0.38▼9
81J.Kwok🇭🇰 HONG KONG CHINA144-0.15-0.24-0.38▼9
82S.Jittariyapong🇹🇭 THAILAND180+0.11-0.52-0.41▲6
83T.Vellios🇬🇷 GREECE132-0.19-0.23-0.42▼13
84H.Vinevich🇮🇱 ISRAEL108+0.14-0.56-0.42▲5
85S.Zaidenberg Gatt🇮🇱 ISRAEL108+0.14-0.56-0.42▲5
86W.Battersby🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND156-0.07-0.36-0.43▼8
87A.Parekh🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND156-0.07-0.36-0.43▼8
88S.Janwongkit🇹🇭 THAILAND156+0.11-0.61-0.50▲3
89T.Oikonomou🇬🇷 GREECE156+0.19-0.69-0.50▲5
90K.Skourtsidis🇬🇷 GREECE144-0.09-0.48-0.57▼5
91P.Hammelev🇩🇰 DENMARK228-0.02-0.63-0.65▲1
92M.Larsen🇩🇰 DENMARK228-0.02-0.63-0.65▲1
93T.Blomsteel🇳🇱 NETHERLANDS144-0.26-0.50-0.75▼7
94K.Visser🇳🇱 NETHERLANDS144-0.26-0.50-0.75▼7
95H.Xing🇨🇦 CANADA120+0.23-1.01-0.77▲2
96H.Xing🇨🇦 CANADA120+0.23-1.01-0.77▲2
97T.Chowdhury🇮🇳 INDIA156+0.46-1.26-0.80▲8
98C.Kloppert🇳🇱 NETHERLANDS156+0.07-0.95-0.88▼3
99R.Van Zandbeek🇳🇱 NETHERLANDS156+0.07-0.95-0.88▼3
100C.Zeeberg🇩🇰 DENMARK228+0.16-1.05-0.89▼1
101F.Zeeberg🇩🇰 DENMARK228+0.16-1.05-0.89▼1
102N.Muthuswamy🇮🇳 INDIA156+0.42-1.40-0.98▲4
103L.Hakvoort🇳🇱 NETHERLANDS156+0.28-1.42-1.14▲4
104P.Ter Maat🇳🇱 NETHERLANDS156+0.28-1.42-1.14▲4
105R.Jahagirdar🇮🇳 INDIA168-0.07-1.09-1.17▼4
106E.Lu🇨🇦 CANADA144-0.18-1.12-1.29▼4
107V.Qian🇨🇦 CANADA144-0.18-1.12-1.29▼4
108P.Goyal🇮🇳 INDIA156-0.11-1.21-1.32▼4