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	D.Lucka	🇵🇱 POLAND	80	+1.68	+134.0
2	N.Suszanowicz	🇵🇱 POLAND	80	+1.68	+134.0
3	Y.Chen	🇨🇳 CHINA	72	+1.46	+105.0
4	X.Ruan	🇨🇳 CHINA	72	+1.46	+105.0
5	A.Donnellan	🇺🇸 USA1	72	+1.33	+96.0
6	K.Helmbold	🇺🇸 USA1	72	+1.33	+96.0
7	H.Mraz	🇭🇺 HUNGARY	64	+1.31	+84.0
8	L.De Wijs	🇳🇱 NETHERLANDS	120	+1.18	+141.0
9	S.De Wijs	🇳🇱 NETHERLANDS	120	+1.18	+141.0
10	L.Jacobsen	🇩🇰 DENMARK	80	+0.88	+70.0
11	C.Pedersen	🇩🇰 DENMARK	80	+0.88	+70.0
12	L.Bednarski	🇩🇪 GERMANY	80	+0.84	+67.0
13	C.Daldal	🇩🇪 GERMANY	80	+0.84	+67.0
14	Y.Chung	🇭🇰 HONG KONG CHINA	120	+0.67	+80.0
15	L.Fan	🇭🇰 HONG KONG CHINA	120	+0.67	+80.0
16	S.Sjodal	🇳🇴 NORWAY	96	+0.61	+59.0
17	E.Plana	🇳🇴 NORWAY	88	+0.60	+53.0
18	E.Morawska	🇵🇱 POLAND	80	+0.59	+47.0
19	Z.Trojan	🇵🇱 POLAND	80	+0.59	+47.0
20	A.Oranje	🇳🇱 NETHERLANDS	88	+0.53	+47.0
21	M.Van Der Valk	🇳🇱 NETHERLANDS	88	+0.53	+47.0
22	N.Yamazaki	🇯🇵 JAPAN	96	+0.47	+45.0
23	K.Brekke	🇳🇴 NORWAY	88	+0.47	+41.0
24	M.Saegrov	🇳🇴 NORWAY	80	+0.44	+35.0
25	C.Ehrlichman	🇺🇸 USA1	104	+0.39	+41.0
26	K.Hwang	🇺🇸 USA1	104	+0.39	+41.0
27	S.Jiang	🇨🇳 CHINA	80	+0.39	+31.0
28	C.Pan	🇨🇳 CHINA	80	+0.39	+31.0
29	F.Dalpozzo	🇮🇹 ITALY	112	+0.38	+42.0
30	V.Dalpozzo	🇮🇹 ITALY	112	+0.38	+42.0
31	F.Sasaki	🇯🇵 JAPAN	96	+0.38	+36.0
32	S.Capobianco	🇮🇹 ITALY	88	+0.38	+33.0
33	E.Dalpozzo	🇮🇹 ITALY	88	+0.38	+33.0
34	Y.Cai	🇺🇸 USA2	88	+0.34	+30.0
35	S.Chu	🇺🇸 USA2	88	+0.34	+30.0
36	L.Ciborowska	🇵🇱 POLAND	80	+0.33	+26.0
37	M.Klimiuk	🇵🇱 POLAND	80	+0.33	+26.0
38	C.Bouton	🇫🇷 FRANCE	96	+0.26	+25.0
39	A.Bune	🇩🇰 DENMARK	72	+0.25	+18.0
40	A.Rasmussen	🇩🇰 DENMARK	72	+0.25	+18.0
41	E.Torok	🇭🇺 HUNGARY	112	+0.21	+23.0
42	N.Bens	🇫🇷 FRANCE	88	+0.16	+14.0
43	M.Yoshida	🇯🇵 JAPAN	104	+0.14	+15.0
44	E.Aga	🇩🇪 GERMANY	80	+0.14	+11.0
45	C.Baumgart	🇩🇪 GERMANY	80	+0.14	+11.0
46	S.Grande-Weberg	🇳🇴 NORWAY	64	+0.12	+8.0
47	C.Wedvik	🇳🇴 NORWAY	64	+0.12	+8.0
48	E.Rosthoej	🇩🇰 DENMARK	88	-0.03	-3.0
49	J.Sigsgaard	🇩🇰 DENMARK	88	-0.03	-3.0
50	K.Ang	🇸🇬 SINGAPORE	80	-0.16	-13.0
51	T.Gao	🇸🇬 SINGAPORE	80	-0.16	-13.0
52	H.Cork	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	120	-0.23	-28.0
53	A.Zeman	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	120	-0.23	-28.0
54	Y.Inamura	🇯🇵 JAPAN	96	-0.29	-28.0
55	T.Atzmon	🇮🇱 ISRAEL	80	-0.33	-26.0
56	L.Toledano	🇮🇱 ISRAEL	80	-0.33	-26.0
57	Z.Nagy	🇭🇺 HUNGARY	64	-0.36	-23.0
58	D.Coley	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	120	-0.39	-47.0
59	L.Kearney	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	120	-0.39	-47.0
60	H.Vinevich	🇮🇱 ISRAEL	80	-0.42	-34.0
61	N.Vinevich	🇮🇱 ISRAEL	80	-0.42	-34.0
62	M.Hirono	🇯🇵 JAPAN	88	-0.45	-40.0
63	M.Bultel	🇫🇷 FRANCE	80	-0.53	-42.0
64	J.Bakhshi	🇺🇸 USA2	72	-0.53	-38.0
65	C.Zhao	🇺🇸 USA2	72	-0.53	-38.0
66	Y.Jiang	🇨🇳 CHINA	88	-0.60	-53.0
67	L.Teng	🇨🇳 CHINA	88	-0.60	-53.0
68	E.Nugues	🇫🇷 FRANCE	96	-0.65	-62.0
69	S.Garcia	🇫🇷 FRANCE	72	-0.76	-55.0
70	D.Kontra	🇭🇺 HUNGARY	72	-0.92	-66.0
71	E.Su	🇺🇸 USA2	80	-0.94	-75.0
72	K.Sullivan	🇺🇸 USA2	80	-0.94	-75.0
73	H.Chow	🇺🇸 USA1	64	-0.94	-60.0
74	N.Qian	🇺🇸 USA1	64	-0.94	-60.0
75	Z.Mauberquez	🇫🇷 FRANCE	48	-0.96	-46.0
76	X.Tan	🇸🇬 SINGAPORE	80	-1.00	-80.0
77	S.Xu	🇸🇬 SINGAPORE	80	-1.00	-80.0
78	Y.Tse	🇭🇰 HONG KONG CHINA	120	-1.17	-140.0
79	W.Yeung	🇭🇰 HONG KONG CHINA	120	-1.17	-140.0
80	F.Oelker	🇩🇪 GERMANY	80	-1.44	-115.0
81	K.Schwalbach	🇩🇪 GERMANY	80	-1.44	-115.0
82	F.Hegyi	🇭🇺 HUNGARY	72	-1.50	-108.0
83	G.Fibert	🇮🇱 ISRAEL	80	-1.73	-138.0
84	Y.Kapiluto	🇮🇱 ISRAEL	80	-1.73	-138.0
85	M.Nguyen-Kovacs	🇭🇺 HUNGARY	96	-1.73	-166.0
86	X.Lin	🇸🇬 SINGAPORE	80	-1.75	-140.0
87	B.Seah	🇸🇬 SINGAPORE	80	-1.75	-140.0
88	A.Damen	🇳🇱 NETHERLANDS	32	+1.53	+49.0
89	I.Van Den Wijngaard	🇳🇱 NETHERLANDS	32	+1.53	+49.0
90	A.Pelaggi	🇮🇹 ITALY	40	+0.42	+17.0
91	M.Pelaggi	🇮🇹 ITALY	40	+0.42	+17.0

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	X.Ruan	🇨🇳 CHINA	18	100.0%	0.00
2	C.Wedvik	🇳🇴 NORWAY	17	100.0%	0.00
3	K.Sullivan	🇺🇸 USA2	15	100.0%	0.00
4	X.Tan	🇸🇬 SINGAPORE	14	100.0%	0.00
5	K.Schwalbach	🇩🇪 GERMANY	23	95.7%	0.09
6	K.Hwang	🇺🇸 USA1	20	95.0%	0.05
7	L.Ciborowska	🇵🇱 POLAND	19	94.7%	0.05
8	S.Jiang	🇨🇳 CHINA	19	94.7%	0.05
9	Z.Nagy	🇭🇺 HUNGARY	18	94.4%	0.06
10	A.Oranje	🇳🇱 NETHERLANDS	17	94.1%	0.06
11	Y.Chung	🇭🇰 HONG KONG CHINA	17	94.1%	0.06
12	N.Suszanowicz	🇵🇱 POLAND	16	93.8%	0.06
13	C.Ehrlichman	🇺🇸 USA1	28	92.9%	0.11
14	S.De Wijs	🇳🇱 NETHERLANDS	27	92.6%	0.15
15	Z.Mauberquez	🇫🇷 FRANCE	13	92.3%	0.08
16	E.Su	🇺🇸 USA2	25	92.0%	0.08
17	F.Dalpozzo	🇮🇹 ITALY	24	91.7%	0.08
18	Y.Chen	🇨🇳 CHINA	23	91.3%	0.09
19	D.Coley	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	34	91.2%	0.18
20	C.Zhao	🇺🇸 USA2	11	90.9%	0.09
21	L.De Wijs	🇳🇱 NETHERLANDS	30	90.0%	0.10
22	M.Nguyen-Kovacs	🇭🇺 HUNGARY	29	89.7%	0.10
23	E.Morawska	🇵🇱 POLAND	19	89.5%	0.10
24	A.Donnellan	🇺🇸 USA1	18	88.9%	0.11
25	V.Dalpozzo	🇮🇹 ITALY	26	88.5%	0.12
26	C.Bouton	🇫🇷 FRANCE	26	88.5%	0.15
27	T.Gao	🇸🇬 SINGAPORE	17	88.2%	0.12
28	A.Rasmussen	🇩🇰 DENMARK	8	87.5%	0.12
29	Z.Trojan	🇵🇱 POLAND	16	87.5%	0.25
30	L.Fan	🇭🇰 HONG KONG CHINA	31	87.1%	0.16
31	M.Hirono	🇯🇵 JAPAN	23	87.0%	0.13
32	X.Lin	🇸🇬 SINGAPORE	23	87.0%	0.13
33	E.Nugues	🇫🇷 FRANCE	23	87.0%	0.17
34	K.Helmbold	🇺🇸 USA1	22	86.4%	0.14
35	J.Bakhshi	🇺🇸 USA2	28	85.7%	0.21
36	M.Klimiuk	🇵🇱 POLAND	13	84.6%	0.15
37	C.Baumgart	🇩🇪 GERMANY	13	84.6%	0.15
38	E.Torok	🇭🇺 HUNGARY	26	84.6%	0.19
39	K.Ang	🇸🇬 SINGAPORE	26	84.6%	0.19
40	S.Capobianco	🇮🇹 ITALY	32	84.4%	0.16
41	Y.Inamura	🇯🇵 JAPAN	25	84.0%	0.16
42	W.Yeung	🇭🇰 HONG KONG CHINA	37	83.8%	0.16
43	E.Plana	🇳🇴 NORWAY	30	83.3%	0.17
44	T.Atzmon	🇮🇱 ISRAEL	12	83.3%	0.17
45	L.Toledano	🇮🇱 ISRAEL	24	83.3%	0.17
46	N.Qian	🇺🇸 USA1	12	83.3%	0.17
47	E.Aga	🇩🇪 GERMANY	18	83.3%	0.28
48	S.Xu	🇸🇬 SINGAPORE	29	82.8%	0.17
49	E.Rosthoej	🇩🇰 DENMARK	23	82.6%	0.17
50	Y.Cai	🇺🇸 USA2	17	82.4%	0.18
51	D.Kontra	🇭🇺 HUNGARY	11	81.8%	0.18
52	H.Cork	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	38	81.6%	0.21
53	A.Zeman	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	27	81.5%	0.18
54	Y.Tse	🇭🇰 HONG KONG CHINA	32	81.2%	0.22
55	C.Pedersen	🇩🇰 DENMARK	21	81.0%	0.19
56	L.Jacobsen	🇩🇰 DENMARK	20	80.0%	0.20
57	C.Daldal	🇩🇪 GERMANY	20	80.0%	0.20
58	A.Bune	🇩🇰 DENMARK	25	80.0%	0.20
59	N.Bens	🇫🇷 FRANCE	20	80.0%	0.20
60	M.Saegrov	🇳🇴 NORWAY	15	80.0%	0.33
61	M.Yoshida	🇯🇵 JAPAN	34	79.4%	0.21
62	N.Yamazaki	🇯🇵 JAPAN	29	79.3%	0.24
63	N.Vinevich	🇮🇱 ISRAEL	19	78.9%	0.21
64	F.Oelker	🇩🇪 GERMANY	19	78.9%	0.21
65	C.Pan	🇨🇳 CHINA	19	78.9%	0.26
66	H.Vinevich	🇮🇱 ISRAEL	19	78.9%	0.26
67	H.Chow	🇺🇸 USA1	18	77.8%	0.22
68	G.Fibert	🇮🇱 ISRAEL	18	77.8%	0.22
69	F.Hegyi	🇭🇺 HUNGARY	22	77.3%	0.23
70	S.Grande-Weberg	🇳🇴 NORWAY	17	76.5%	0.23
71	J.Sigsgaard	🇩🇰 DENMARK	17	76.5%	0.29
72	M.Van Der Valk	🇳🇱 NETHERLANDS	20	75.0%	0.25
73	L.Kearney	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	28	75.0%	0.32
74	B.Seah	🇸🇬 SINGAPORE	20	75.0%	0.35
75	D.Lucka	🇵🇱 POLAND	27	74.1%	0.26
76	L.Bednarski	🇩🇪 GERMANY	27	74.1%	0.26
77	Y.Jiang	🇨🇳 CHINA	23	73.9%	0.30
78	F.Sasaki	🇯🇵 JAPAN	23	73.9%	0.39
79	S.Garcia	🇫🇷 FRANCE	19	73.7%	0.26
80	L.Teng	🇨🇳 CHINA	15	73.3%	0.27
81	K.Brekke	🇳🇴 NORWAY	22	72.7%	0.27
82	H.Mraz	🇭🇺 HUNGARY	11	72.7%	0.46
83	S.Chu	🇺🇸 USA2	28	71.4%	0.29
84	E.Dalpozzo	🇮🇹 ITALY	21	71.4%	0.38
85	Y.Kapiluto	🇮🇱 ISRAEL	20	70.0%	0.30
86	S.Sjodal	🇳🇴 NORWAY	22	68.2%	0.41
87	M.Bultel	🇫🇷 FRANCE	13	61.5%	0.39
88	M.Pelaggi	🇮🇹 ITALY	11	100.0%	0.00
89	A.Pelaggi	🇮🇹 ITALY	11	90.9%	0.09
90	A.Damen	🇳🇱 NETHERLANDS	12	83.3%	0.17
91	I.Van Den Wijngaard	🇳🇱 NETHERLANDS	11	81.8%	0.27

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	S.Capobianco	🇮🇹 ITALY	16	93.8%	0.06
2	L.Teng	🇨🇳 CHINA	27	88.9%	0.11
3	C.Daldal	🇩🇪 GERMANY	16	87.5%	0.12
4	Z.Trojan	🇵🇱 POLAND	24	87.5%	0.25
5	Y.Cai	🇺🇸 USA2	23	87.0%	0.13
6	E.Morawska	🇵🇱 POLAND	21	85.7%	0.14
7	C.Pedersen	🇩🇰 DENMARK	21	85.7%	0.19
8	A.Rasmussen	🇩🇰 DENMARK	21	85.7%	0.19
9	E.Dalpozzo	🇮🇹 ITALY	19	84.2%	0.16
10	L.Ciborowska	🇵🇱 POLAND	29	82.8%	0.21
11	M.Hirono	🇯🇵 JAPAN	17	82.4%	0.18
12	L.Kearney	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	39	82.1%	0.18
13	N.Suszanowicz	🇵🇱 POLAND	22	81.8%	0.18
14	X.Ruan	🇨🇳 CHINA	11	81.8%	0.36
15	H.Mraz	🇭🇺 HUNGARY	16	81.2%	0.19
16	H.Chow	🇺🇸 USA1	16	81.2%	0.25
17	E.Su	🇺🇸 USA2	16	81.2%	0.44
18	F.Dalpozzo	🇮🇹 ITALY	37	81.1%	0.22
19	A.Oranje	🇳🇱 NETHERLANDS	21	81.0%	0.24
20	K.Hwang	🇺🇸 USA1	26	80.8%	0.19
21	E.Torok	🇭🇺 HUNGARY	31	80.6%	0.19
22	S.Chu	🇺🇸 USA2	20	80.0%	0.20
23	Y.Chen	🇨🇳 CHINA	20	80.0%	0.30
24	Y.Chung	🇭🇰 HONG KONG CHINA	40	80.0%	0.30
25	F.Sasaki	🇯🇵 JAPAN	20	80.0%	0.30
26	S.Sjodal	🇳🇴 NORWAY	19	78.9%	0.21
27	H.Vinevich	🇮🇱 ISRAEL	23	78.3%	0.22
28	T.Atzmon	🇮🇱 ISRAEL	23	78.3%	0.26
29	L.Jacobsen	🇩🇰 DENMARK	18	77.8%	0.22
30	C.Pan	🇨🇳 CHINA	18	77.8%	0.22
31	S.De Wijs	🇳🇱 NETHERLANDS	36	77.8%	0.28
32	C.Baumgart	🇩🇪 GERMANY	18	77.8%	0.39
33	Z.Nagy	🇭🇺 HUNGARY	18	77.8%	0.61
34	S.Grande-Weberg	🇳🇴 NORWAY	13	76.9%	0.23
35	C.Wedvik	🇳🇴 NORWAY	17	76.5%	0.23
36	L.Bednarski	🇩🇪 GERMANY	17	76.5%	0.29
37	C.Bouton	🇫🇷 FRANCE	24	75.0%	0.25
38	E.Aga	🇩🇪 GERMANY	31	74.2%	0.32
39	K.Schwalbach	🇩🇪 GERMANY	15	73.3%	0.27
40	L.De Wijs	🇳🇱 NETHERLANDS	26	73.1%	0.31
41	T.Gao	🇸🇬 SINGAPORE	22	72.7%	0.41
42	E.Rosthoej	🇩🇰 DENMARK	29	72.4%	0.31
43	E.Plana	🇳🇴 NORWAY	18	72.2%	0.28
44	S.Garcia	🇫🇷 FRANCE	18	72.2%	0.33
45	N.Vinevich	🇮🇱 ISRAEL	18	72.2%	0.33
46	K.Helmbold	🇺🇸 USA1	14	71.4%	0.29
47	M.Nguyen-Kovacs	🇭🇺 HUNGARY	21	71.4%	0.29
48	X.Lin	🇸🇬 SINGAPORE	21	71.4%	0.33
49	K.Sullivan	🇺🇸 USA2	24	70.8%	0.42
50	N.Qian	🇺🇸 USA1	17	70.6%	0.29
51	K.Brekke	🇳🇴 NORWAY	27	70.4%	0.37
52	G.Fibert	🇮🇱 ISRAEL	20	70.0%	0.35
53	M.Van Der Valk	🇳🇱 NETHERLANDS	30	70.0%	0.37
54	C.Ehrlichman	🇺🇸 USA1	30	70.0%	0.37
55	Z.Mauberquez	🇫🇷 FRANCE	10	70.0%	0.40
56	M.Yoshida	🇯🇵 JAPAN	23	69.6%	0.39
57	M.Saegrov	🇳🇴 NORWAY	23	69.6%	0.43
58	X.Tan	🇸🇬 SINGAPORE	16	68.8%	0.69
59	D.Coley	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	19	68.4%	0.37
60	J.Sigsgaard	🇩🇰 DENMARK	19	68.4%	0.42
61	Y.Tse	🇭🇰 HONG KONG CHINA	22	68.2%	0.36
62	D.Lucka	🇵🇱 POLAND	15	66.7%	0.33
63	S.Jiang	🇨🇳 CHINA	24	66.7%	0.38
64	A.Donnellan	🇺🇸 USA1	18	66.7%	0.39
65	A.Bune	🇩🇰 DENMARK	18	66.7%	0.39
66	C.Zhao	🇺🇸 USA2	15	66.7%	0.40
67	E.Nugues	🇫🇷 FRANCE	27	66.7%	0.41
68	F.Hegyi	🇭🇺 HUNGARY	21	66.7%	0.43
69	M.Klimiuk	🇵🇱 POLAND	18	66.7%	0.44
70	S.Xu	🇸🇬 SINGAPORE	21	66.7%	0.48
71	L.Fan	🇭🇰 HONG KONG CHINA	32	65.6%	0.53
72	Y.Jiang	🇨🇳 CHINA	23	65.2%	0.39
73	F.Oelker	🇩🇪 GERMANY	23	65.2%	0.39
74	N.Yamazaki	🇯🇵 JAPAN	22	63.6%	0.41
75	N.Bens	🇫🇷 FRANCE	22	63.6%	0.41
76	H.Cork	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	24	62.5%	0.46
77	W.Yeung	🇭🇰 HONG KONG CHINA	29	62.1%	0.52
78	L.Toledano	🇮🇱 ISRAEL	21	61.9%	0.57
79	J.Bakhshi	🇺🇸 USA2	18	61.1%	0.44
80	V.Dalpozzo	🇮🇹 ITALY	25	60.0%	0.48
81	Y.Inamura	🇯🇵 JAPAN	24	58.3%	0.50
82	A.Zeman	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	31	58.1%	0.61
83	D.Kontra	🇭🇺 HUNGARY	16	56.2%	0.50
84	B.Seah	🇸🇬 SINGAPORE	16	56.2%	0.56
85	M.Bultel	🇫🇷 FRANCE	25	56.0%	0.52
86	Y.Kapiluto	🇮🇱 ISRAEL	22	54.5%	0.59
87	K.Ang	🇸🇬 SINGAPORE	15	53.3%	0.67
88	M.Pelaggi	🇮🇹 ITALY	7	100.0%	0.00
89	A.Pelaggi	🇮🇹 ITALY	11	90.9%	0.09
90	I.Van Den Wijngaard	🇳🇱 NETHERLANDS	7	71.4%	0.29
91	A.Damen	🇳🇱 NETHERLANDS	2	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	A.Bune	🇩🇰 DENMARK	33	93.9%	0.06
2	A.Rasmussen	🇩🇰 DENMARK	33	93.9%	0.06
3	C.Bouton	🇫🇷 FRANCE	48	93.8%	0.06
4	S.Sjodal	🇳🇴 NORWAY	47	93.6%	0.06
5	K.Brekke	🇳🇴 NORWAY	42	92.9%	0.07
6	N.Bens	🇫🇷 FRANCE	42	92.9%	0.07
7	L.Jacobsen	🇩🇰 DENMARK	41	92.7%	0.10
8	C.Pedersen	🇩🇰 DENMARK	41	92.7%	0.10
9	S.Capobianco	🇮🇹 ITALY	53	92.5%	0.07
10	E.Dalpozzo	🇮🇹 ITALY	53	92.5%	0.07
11	S.Grande-Weberg	🇳🇴 NORWAY	34	91.2%	0.09
12	C.Wedvik	🇳🇴 NORWAY	34	91.2%	0.09
13	Y.Chen	🇨🇳 CHINA	41	90.2%	0.10
14	X.Ruan	🇨🇳 CHINA	41	90.2%	0.10
15	C.Ehrlichman	🇺🇸 USA1	48	89.6%	0.15
16	K.Hwang	🇺🇸 USA1	48	89.6%	0.15
17	Y.Cai	🇺🇸 USA2	45	88.9%	0.20
18	S.Chu	🇺🇸 USA2	45	88.9%	0.20
19	Y.Chung	🇭🇰 HONG KONG CHINA	48	87.5%	0.15
20	L.Fan	🇭🇰 HONG KONG CHINA	48	87.5%	0.15
21	A.Donnellan	🇺🇸 USA1	40	87.5%	0.15
22	K.Helmbold	🇺🇸 USA1	40	87.5%	0.15
23	L.Ciborowska	🇵🇱 POLAND	32	87.5%	0.22
24	M.Klimiuk	🇵🇱 POLAND	32	87.5%	0.22
25	E.Plana	🇳🇴 NORWAY	47	87.2%	0.17
26	D.Lucka	🇵🇱 POLAND	43	86.0%	0.14
27	N.Suszanowicz	🇵🇱 POLAND	43	86.0%	0.14
28	L.De Wijs	🇳🇱 NETHERLANDS	57	86.0%	0.16
29	S.De Wijs	🇳🇱 NETHERLANDS	57	86.0%	0.16
30	X.Lin	🇸🇬 SINGAPORE	43	86.0%	0.16
31	B.Seah	🇸🇬 SINGAPORE	43	86.0%	0.16
32	E.Morawska	🇵🇱 POLAND	35	85.7%	0.14
33	Z.Trojan	🇵🇱 POLAND	35	85.7%	0.14
34	M.Saegrov	🇳🇴 NORWAY	42	85.7%	0.19
35	E.Rosthoej	🇩🇰 DENMARK	40	85.0%	0.23
36	J.Sigsgaard	🇩🇰 DENMARK	40	85.0%	0.23
37	J.Bakhshi	🇺🇸 USA2	39	84.6%	0.15
38	C.Zhao	🇺🇸 USA2	39	84.6%	0.15
39	F.Dalpozzo	🇮🇹 ITALY	50	84.0%	0.18
40	V.Dalpozzo	🇮🇹 ITALY	50	84.0%	0.18
41	A.Oranje	🇳🇱 NETHERLANDS	37	83.8%	0.30
42	M.Van Der Valk	🇳🇱 NETHERLANDS	37	83.8%	0.30
43	H.Cork	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	65	83.1%	0.21
44	A.Zeman	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	65	83.1%	0.21
45	L.Bednarski	🇩🇪 GERMANY	47	83.0%	0.26
46	C.Daldal	🇩🇪 GERMANY	47	83.0%	0.26
47	Y.Tse	🇭🇰 HONG KONG CHINA	69	82.6%	0.26
48	W.Yeung	🇭🇰 HONG KONG CHINA	69	82.6%	0.26
49	M.Hirono	🇯🇵 JAPAN	50	82.0%	0.20
50	F.Sasaki	🇯🇵 JAPAN	55	81.8%	0.22
51	H.Mraz	🇭🇺 HUNGARY	27	81.5%	0.22
52	F.Oelker	🇩🇪 GERMANY	42	81.0%	0.26
53	K.Schwalbach	🇩🇪 GERMANY	42	81.0%	0.26
54	E.Aga	🇩🇪 GERMANY	31	80.6%	0.19
55	C.Baumgart	🇩🇪 GERMANY	31	80.6%	0.19
56	M.Yoshida	🇯🇵 JAPAN	66	80.3%	0.24
57	E.Su	🇺🇸 USA2	40	80.0%	0.23
58	K.Sullivan	🇺🇸 USA2	40	80.0%	0.23
59	F.Hegyi	🇭🇺 HUNGARY	40	80.0%	0.25
60	S.Jiang	🇨🇳 CHINA	38	78.9%	0.21
61	C.Pan	🇨🇳 CHINA	38	78.9%	0.21
62	Y.Jiang	🇨🇳 CHINA	38	78.9%	0.26
63	L.Teng	🇨🇳 CHINA	38	78.9%	0.26
64	T.Atzmon	🇮🇱 ISRAEL	36	77.8%	0.25
65	L.Toledano	🇮🇱 ISRAEL	36	77.8%	0.25
66	Y.Inamura	🇯🇵 JAPAN	48	77.1%	0.27
67	M.Nguyen-Kovacs	🇭🇺 HUNGARY	47	76.6%	0.32
68	D.Coley	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	62	75.8%	0.29
69	L.Kearney	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	62	75.8%	0.29
70	K.Ang	🇸🇬 SINGAPORE	43	74.4%	0.28
71	T.Gao	🇸🇬 SINGAPORE	43	74.4%	0.28
72	S.Garcia	🇫🇷 FRANCE	38	73.7%	0.32
73	N.Yamazaki	🇯🇵 JAPAN	49	73.5%	0.31
74	H.Chow	🇺🇸 USA1	30	73.3%	0.37
75	N.Qian	🇺🇸 USA1	30	73.3%	0.37
76	E.Torok	🇭🇺 HUNGARY	52	73.1%	0.36
77	E.Nugues	🇫🇷 FRANCE	40	72.5%	0.28
78	M.Bultel	🇫🇷 FRANCE	34	70.6%	0.29
79	D.Kontra	🇭🇺 HUNGARY	37	70.3%	0.41
80	X.Tan	🇸🇬 SINGAPORE	43	69.8%	0.40
81	S.Xu	🇸🇬 SINGAPORE	43	69.8%	0.40
82	H.Vinevich	🇮🇱 ISRAEL	38	68.4%	0.37
83	N.Vinevich	🇮🇱 ISRAEL	38	68.4%	0.37
84	G.Fibert	🇮🇱 ISRAEL	38	68.4%	0.40
85	Y.Kapiluto	🇮🇱 ISRAEL	38	68.4%	0.40
86	Z.Mauberquez	🇫🇷 FRANCE	26	65.4%	0.42
87	Z.Nagy	🇭🇺 HUNGARY	31	64.5%	0.48
88	A.Damen	🇳🇱 NETHERLANDS	23	91.3%	0.09
89	I.Van Den Wijngaard	🇳🇱 NETHERLANDS	23	91.3%	0.09
90	A.Pelaggi	🇮🇹 ITALY	22	86.4%	0.14
91	M.Pelaggi	🇮🇹 ITALY	22	86.4%	0.14

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	V.Dalpozzo	🇮🇹 ITALY	328	171	52.1%
2	F.Dalpozzo	🇮🇹 ITALY	333	167	50.2%
3	E.Nugues	🇫🇷 FRANCE	273	137	50.2%
4	C.Baumgart	🇩🇪 GERMANY	222	111	50.0%
5	E.Morawska	🇵🇱 POLAND	210	105	50.0%
6	L.Fan	🇭🇰 HONG KONG CHINA	309	153	49.5%
7	L.Kearney	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	320	158	49.4%
8	N.Vinevich	🇮🇱 ISRAEL	227	111	48.9%
9	M.Van Der Valk	🇳🇱 NETHERLANDS	234	114	48.7%
10	A.Oranje	🇳🇱 NETHERLANDS	233	113	48.5%
11	C.Pedersen	🇩🇰 DENMARK	233	113	48.5%
12	L.Jacobsen	🇩🇰 DENMARK	231	112	48.5%
13	Y.Jiang	🇨🇳 CHINA	231	111	48.1%
14	A.Bune	🇩🇰 DENMARK	189	91	48.1%
15	H.Mraz	🇭🇺 HUNGARY	185	89	48.1%
16	D.Coley	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	326	155	47.5%
17	K.Brekke	🇳🇴 NORWAY	232	109	47.0%
18	Z.Trojan	🇵🇱 POLAND	211	99	46.9%
19	G.Fibert	🇮🇱 ISRAEL	233	109	46.8%
20	L.De Wijs	🇳🇱 NETHERLANDS	323	151	46.7%
21	E.Aga	🇩🇪 GERMANY	229	107	46.7%
22	S.Garcia	🇫🇷 FRANCE	195	90	46.2%
23	S.De Wijs	🇳🇱 NETHERLANDS	323	149	46.1%
24	A.Rasmussen	🇩🇰 DENMARK	187	86	46.0%
25	L.Teng	🇨🇳 CHINA	236	107	45.3%
26	M.Bultel	🇫🇷 FRANCE	222	100	45.0%
27	C.Ehrlichman	🇺🇸 USA1	283	127	44.9%
28	Y.Cai	🇺🇸 USA2	239	107	44.8%
29	Y.Kapiluto	🇮🇱 ISRAEL	235	105	44.7%
30	C.Wedvik	🇳🇴 NORWAY	166	74	44.6%
31	E.Su	🇺🇸 USA2	218	97	44.5%
32	E.Torok	🇭🇺 HUNGARY	307	136	44.3%
33	J.Sigsgaard	🇩🇰 DENMARK	253	112	44.3%
34	K.Sullivan	🇺🇸 USA2	221	98	44.3%
35	K.Schwalbach	🇩🇪 GERMANY	220	97	44.1%
36	M.Nguyen-Kovacs	🇭🇺 HUNGARY	265	116	43.8%
37	L.Ciborowska	🇵🇱 POLAND	224	98	43.8%
38	H.Vinevich	🇮🇱 ISRAEL	225	98	43.6%
39	T.Gao	🇸🇬 SINGAPORE	208	90	43.3%
40	N.Yamazaki	🇯🇵 JAPAN	273	118	43.2%
41	K.Ang	🇸🇬 SINGAPORE	209	90	43.1%
42	K.Hwang	🇺🇸 USA1	291	125	43.0%
43	L.Toledano	🇮🇱 ISRAEL	208	89	42.8%
44	T.Atzmon	🇮🇱 ISRAEL	204	87	42.6%
45	H.Chow	🇺🇸 USA1	169	72	42.6%
46	S.Sjodal	🇳🇴 NORWAY	261	110	42.1%
47	Y.Chung	🇭🇰 HONG KONG CHINA	317	133	42.0%
48	M.Klimiuk	🇵🇱 POLAND	224	94	42.0%
49	J.Bakhshi	🇺🇸 USA2	184	77	41.8%
50	Y.Inamura	🇯🇵 JAPAN	264	110	41.7%
51	S.Chu	🇺🇸 USA2	244	101	41.4%
52	E.Rosthoej	🇩🇰 DENMARK	253	104	41.1%
53	N.Suszanowicz	🇵🇱 POLAND	224	92	41.1%
54	A.Donnellan	🇺🇸 USA1	195	80	41.0%
55	F.Oelker	🇩🇪 GERMANY	221	90	40.7%
56	N.Qian	🇺🇸 USA1	171	69	40.4%
57	H.Cork	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	331	133	40.2%
58	C.Pan	🇨🇳 CHINA	219	88	40.2%
59	M.Hirono	🇯🇵 JAPAN	240	96	40.0%
60	F.Hegyi	🇭🇺 HUNGARY	203	81	39.9%
61	N.Bens	🇫🇷 FRANCE	244	97	39.8%
62	Z.Mauberquez	🇫🇷 FRANCE	124	49	39.5%
63	B.Seah	🇸🇬 SINGAPORE	221	87	39.4%
64	S.Jiang	🇨🇳 CHINA	216	85	39.4%
65	D.Kontra	🇭🇺 HUNGARY	193	76	39.4%
66	A.Zeman	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	341	132	38.7%
67	E.Plana	🇳🇴 NORWAY	238	92	38.7%
68	F.Sasaki	🇯🇵 JAPAN	264	102	38.6%
69	S.Grande-Weberg	🇳🇴 NORWAY	166	64	38.6%
70	Y.Chen	🇨🇳 CHINA	192	74	38.5%
71	K.Helmbold	🇺🇸 USA1	198	76	38.4%
72	Z.Nagy	🇭🇺 HUNGARY	175	67	38.3%
73	L.Bednarski	🇩🇪 GERMANY	221	84	38.0%
74	X.Ruan	🇨🇳 CHINA	192	73	38.0%
75	X.Tan	🇸🇬 SINGAPORE	201	76	37.8%
76	C.Zhao	🇺🇸 USA2	188	71	37.8%
77	X.Lin	🇸🇬 SINGAPORE	218	82	37.6%
78	E.Dalpozzo	🇮🇹 ITALY	233	87	37.3%
79	C.Daldal	🇩🇪 GERMANY	228	85	37.3%
80	C.Bouton	🇫🇷 FRANCE	267	99	37.1%
81	Y.Tse	🇭🇰 HONG KONG CHINA	327	120	36.7%
82	W.Yeung	🇭🇰 HONG KONG CHINA	330	120	36.4%
83	M.Saegrov	🇳🇴 NORWAY	214	77	36.0%
84	D.Lucka	🇵🇱 POLAND	223	80	35.9%
85	S.Capobianco	🇮🇹 ITALY	234	83	35.5%
86	M.Yoshida	🇯🇵 JAPAN	295	101	34.2%
87	S.Xu	🇸🇬 SINGAPORE	208	63	30.3%
88	M.Pelaggi	🇮🇹 ITALY	108	44	40.7%
89	A.Pelaggi	🇮🇹 ITALY	111	42	37.8%
90	A.Damen	🇳🇱 NETHERLANDS	86	30	34.9%
91	I.Van Den Wijngaard	🇳🇱 NETHERLANDS	86	30	34.9%

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.

#	Player	Team	Boards	Opp /bd	Raw /bd	Adj /bd	Δ
1	D.Lucka	🇵🇱 POLAND	80	-0.07	+1.44	+1.37	·
2	N.Suszanowicz	🇵🇱 POLAND	80	-0.07	+1.44	+1.37	·
3	Y.Chen	🇨🇳 CHINA	72	-0.13	+1.18	+1.05	▲2
4	X.Ruan	🇨🇳 CHINA	72	-0.13	+1.18	+1.05	▲2
5	E.Plana	🇳🇴 NORWAY	88	-0.04	+0.92	+0.88	▲2
6	S.Sjodal	🇳🇴 NORWAY	96	+0.33	+0.55	+0.87	▲13
7	L.De Wijs	🇳🇱 NETHERLANDS	120	-0.35	+1.22	+0.87	▼4
8	S.De Wijs	🇳🇱 NETHERLANDS	120	-0.35	+1.22	+0.87	▼4
9	A.Oranje	🇳🇱 NETHERLANDS	88	+0.14	+0.71	+0.85	▲1
10	M.Van Der Valk	🇳🇱 NETHERLANDS	88	+0.14	+0.71	+0.85	▲1
11	L.Jacobsen	🇩🇰 DENMARK	80	+0.09	+0.68	+0.77	▲1
12	C.Pedersen	🇩🇰 DENMARK	80	+0.09	+0.68	+0.77	▲1
13	E.Morawska	🇵🇱 POLAND	80	-0.14	+0.84	+0.70	▼5
14	Z.Trojan	🇵🇱 POLAND	80	-0.14	+0.84	+0.70	▼5
15	K.Brekke	🇳🇴 NORWAY	88	+0.35	+0.26	+0.62	▲20
16	C.Ehrlichman	🇺🇸 USA1	104	-0.04	+0.66	+0.61	▼2
17	K.Hwang	🇺🇸 USA1	104	-0.04	+0.66	+0.61	▼2
18	N.Yamazaki	🇯🇵 JAPAN	96	+0.08	+0.53	+0.61	▲3
19	M.Saegrov	🇳🇴 NORWAY	80	-0.04	+0.65	+0.60	▼3
20	F.Dalpozzo	🇮🇹 ITALY	112	-0.03	+0.55	+0.52	▼3
21	V.Dalpozzo	🇮🇹 ITALY	112	-0.03	+0.55	+0.52	▼3
22	Y.Chung	🇭🇰 HONG KONG CHINA	120	+0.07	+0.43	+0.50	▲2
23	L.Fan	🇭🇰 HONG KONG CHINA	120	+0.07	+0.43	+0.50	▲2
24	A.Donnellan	🇺🇸 USA1	72	-0.10	+0.53	+0.43	▼2
25	K.Helmbold	🇺🇸 USA1	72	-0.10	+0.53	+0.43	▼2
26	S.Capobianco	🇮🇹 ITALY	88	+0.29	+0.09	+0.37	▲17
27	E.Dalpozzo	🇮🇹 ITALY	88	+0.29	+0.09	+0.37	▲17
28	F.Sasaki	🇯🇵 JAPAN	96	-0.05	+0.41	+0.36	▼2
29	E.Rosthoej	🇩🇰 DENMARK	88	-0.09	+0.37	+0.28	▼2
30	J.Sigsgaard	🇩🇰 DENMARK	88	-0.09	+0.37	+0.28	▼2
31	L.Ciborowska	🇵🇱 POLAND	80	-0.11	+0.37	+0.26	·
32	M.Klimiuk	🇵🇱 POLAND	80	-0.11	+0.37	+0.26	·
33	L.Bednarski	🇩🇪 GERMANY	80	-0.12	+0.37	+0.25	▼4
34	C.Daldal	🇩🇪 GERMANY	80	-0.12	+0.37	+0.25	▼4
35	H.Mraz	🇭🇺 HUNGARY	64	-0.33	+0.53	+0.21	▼15
36	S.Jiang	🇨🇳 CHINA	80	+0.00	+0.20	+0.20	·
37	C.Pan	🇨🇳 CHINA	80	+0.00	+0.20	+0.20	·
38	Y.Inamura	🇯🇵 JAPAN	96	+0.36	-0.28	+0.08	▲15
39	A.Bune	🇩🇰 DENMARK	72	-0.19	+0.19	+0.01	▼1
40	A.Rasmussen	🇩🇰 DENMARK	72	-0.19	+0.19	+0.01	▼1
41	M.Yoshida	🇯🇵 JAPAN	104	-0.16	+0.15	-0.01	▲1
42	D.Kontra	🇭🇺 HUNGARY	72	+0.21	-0.22	-0.01	▲10
43	E.Aga	🇩🇪 GERMANY	80	-0.08	+0.04	-0.04	▲2
44	C.Baumgart	🇩🇪 GERMANY	80	-0.08	+0.04	-0.04	▲2
45	D.Coley	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	120	-0.07	-0.01	-0.08	▲2
46	L.Kearney	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	120	-0.07	-0.01	-0.08	▲2
47	J.Bakhshi	🇺🇸 USA2	72	+0.54	-0.62	-0.08	▲17
48	C.Zhao	🇺🇸 USA2	72	+0.54	-0.62	-0.08	▲17
49	Y.Jiang	🇨🇳 CHINA	88	+0.02	-0.14	-0.12	·
50	L.Teng	🇨🇳 CHINA	88	+0.02	-0.14	-0.12	·
51	M.Hirono	🇯🇵 JAPAN	88	+0.09	-0.21	-0.12	·
52	N.Bens	🇫🇷 FRANCE	88	+0.20	-0.35	-0.15	▲3
53	C.Bouton	🇫🇷 FRANCE	96	+0.13	-0.29	-0.15	▲1
54	Y.Cai	🇺🇸 USA2	88	-0.36	+0.17	-0.19	▼14
55	S.Chu	🇺🇸 USA2	88	-0.36	+0.17	-0.19	▼14
56	E.Nugues	🇫🇷 FRANCE	96	+0.04	-0.40	-0.35	▲1
57	S.Grande-Weberg	🇳🇴 NORWAY	64	-0.70	+0.35	-0.35	▼24
58	C.Wedvik	🇳🇴 NORWAY	64	-0.70	+0.35	-0.35	▼24
59	F.Oelker	🇩🇪 GERMANY	80	+0.40	-0.86	-0.46	▲16
60	K.Schwalbach	🇩🇪 GERMANY	80	+0.40	-0.86	-0.46	▲16
61	T.Atzmon	🇮🇱 ISRAEL	80	+0.06	-0.52	-0.47	▼3
62	L.Toledano	🇮🇱 ISRAEL	80	+0.06	-0.52	-0.47	▼3
63	M.Bultel	🇫🇷 FRANCE	80	-0.10	-0.39	-0.49	▼7
64	H.Cork	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	120	+0.11	-0.63	-0.52	▲3
65	A.Zeman	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	120	+0.11	-0.63	-0.52	▲3
66	F.Hegyi	🇭🇺 HUNGARY	72	+0.13	-0.67	-0.54	▲3
67	H.Vinevich	🇮🇱 ISRAEL	80	+0.16	-0.70	-0.54	▲3
68	N.Vinevich	🇮🇱 ISRAEL	80	+0.16	-0.70	-0.54	▲3
69	E.Su	🇺🇸 USA2	80	-0.03	-0.53	-0.56	▼9
70	K.Sullivan	🇺🇸 USA2	80	-0.03	-0.53	-0.56	▼9
71	S.Garcia	🇫🇷 FRANCE	72	-0.06	-0.60	-0.66	▼9
72	E.Torok	🇭🇺 HUNGARY	112	-0.05	-0.62	-0.67	▼9
73	Z.Nagy	🇭🇺 HUNGARY	64	-0.13	-0.62	-0.75	▼7
74	X.Tan	🇸🇬 SINGAPORE	80	+0.16	-0.93	-0.77	▲5
75	S.Xu	🇸🇬 SINGAPORE	80	+0.16	-0.93	-0.77	▲5
76	H.Chow	🇺🇸 USA1	64	+0.10	-0.90	-0.80	▲1
77	N.Qian	🇺🇸 USA1	64	+0.10	-0.90	-0.80	▲1
78	K.Ang	🇸🇬 SINGAPORE	80	-0.11	-0.74	-0.85	▼6
79	T.Gao	🇸🇬 SINGAPORE	80	-0.11	-0.74	-0.85	▼6
80	X.Lin	🇸🇬 SINGAPORE	80	+0.23	-1.21	-0.97	▲2
81	B.Seah	🇸🇬 SINGAPORE	80	+0.23	-1.21	-0.97	▲2
82	M.Nguyen-Kovacs	🇭🇺 HUNGARY	96	-0.00	-1.05	-1.05	▼1
83	Z.Mauberquez	🇫🇷 FRANCE	48	-0.23	-0.83	-1.06	▼9
84	Y.Tse	🇭🇰 HONG KONG CHINA	120	+0.04	-1.32	-1.28	·
85	W.Yeung	🇭🇰 HONG KONG CHINA	120	+0.04	-1.32	-1.28	·
86	G.Fibert	🇮🇱 ISRAEL	80	+0.15	-1.47	-1.32	·
87	Y.Kapiluto	🇮🇱 ISRAEL	80	+0.15	-1.47	-1.32	·

Stages

Statistics

Tables