Wuhan 2019 — 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	N.Kvangraven	🇳🇴 NORWAY	128	+0.85	+109.0
2	U.Tundal	🇳🇴 NORWAY	128	+0.85	+109.0
3	J.Meckstroth	🇺🇸 USA 1	224	+0.59	+132.0
4	E.Rodwell	🇺🇸 USA 1	224	+0.59	+132.0
5	K.Buras	🇵🇱 POLAND	240	+0.54	+129.0
6	G.Narkiewicz	🇵🇱 POLAND	240	+0.54	+129.0
7	S.De Wijs	🇳🇱 NETHERLANDS	207	+0.52	+108.0
8	B.Muller	🇳🇱 NETHERLANDS	207	+0.52	+108.0
9	R.Van Prooijen	🇳🇱 NETHERLANDS	208	-0.00	-1.0
10	J.Verhees	🇳🇱 NETHERLANDS	208	-0.00	-1.0
11	B.Brogeland	🇳🇴 NORWAY	240	-0.02	-5.0
12	E.Lindqvist	🇳🇴 NORWAY	240	-0.02	-5.0
13	J.Kalita	🇵🇱 POLAND	271	-0.07	-20.0
14	M.Nowosadzki	🇵🇱 POLAND	271	-0.07	-20.0
15	R.Levin	🇺🇸 USA 1	223	-0.47	-104.0
16	S.Weinstein	🇺🇸 USA 1	223	-0.47	-104.0
17	T.Forrester	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	80	+0.86	+69.0
18	A.Robson	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	80	+0.86	+69.0
19	C.Ju	🇨🇳 CHINA	64	+0.69	+44.0
20	Z.Shi	🇨🇳 CHINA	64	+0.69	+44.0
21	F.Nystrom	🇸🇪 SWEDEN	80	+0.62	+50.0
22	J.Upmark	🇸🇪 SWEDEN	80	+0.62	+50.0
23	B.Drijver	🇳🇱 NETHERLANDS	96	+0.61	+59.0
24	B.Nab	🇳🇱 NETHERLANDS	96	+0.61	+59.0
25	B.Chmurski	🇵🇱 POLAND	64	+0.59	+38.0
26	P.Tuczynski	🇵🇱 POLAND	64	+0.59	+38.0
27	S.Ekenberg	🇸🇪 SWEDEN	32	+0.53	+17.0
28	S.Hult	🇸🇪 SWEDEN	32	+0.53	+17.0
29	L.Lauria	🇮🇹 ITALY	64	+0.52	+33.0
30	A.Versace	🇮🇹 ITALY	64	+0.52	+33.0
31	G.Duboin	🇮🇹 ITALY	64	+0.03	+2.0
32	A.Madala	🇮🇹 ITALY	64	+0.03	+2.0
33	L.Hu	🇨🇳 CHINA	64	-0.45	-29.0
34	Y.Liu	🇨🇳 CHINA	64	-0.45	-29.0
35	R.Katz	🇺🇸 USA 1	96	-0.72	-69.0
36	N.Nickell	🇺🇸 USA 1	96	-0.72	-69.0
37	J.Allerton	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	64	-0.78	-50.0
38	C.Jagger	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	64	-0.78	-50.0
39	D.Bakhshi	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	48	-1.04	-50.0
40	A.Malinowski	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	48	-1.04	-50.0
41	G.Chen	🇨🇳 CHINA	64	-1.28	-82.0
42	Z.Zhuang	🇨🇳 CHINA	64	-1.28	-82.0
43	M.Rimstedt	🇸🇪 SWEDEN	79	-1.29	-102.0
44	O.Rimstedt	🇸🇪 SWEDEN	79	-1.29	-102.0
45	N.Bocchi	🇮🇹 ITALY	64	-1.58	-101.0
46	A.Sementa	🇮🇹 ITALY	64	-1.58	-101.0
47	T.Aa	🇳🇴 NORWAY	112	-1.58	-177.0
48	A.Livgard	🇳🇴 NORWAY	112	-1.58	-177.0

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	U.Tundal	🇳🇴 NORWAY	24	91.7%	0.12
2	R.Van Prooijen	🇳🇱 NETHERLANDS	38	89.5%	0.10
3	E.Rodwell	🇺🇸 USA 1	55	89.1%	0.11
4	J.Kalita	🇵🇱 POLAND	64	87.5%	0.12
5	K.Buras	🇵🇱 POLAND	69	84.1%	0.16
6	B.Brogeland	🇳🇴 NORWAY	68	82.4%	0.23
7	J.Meckstroth	🇺🇸 USA 1	62	82.3%	0.21
8	S.De Wijs	🇳🇱 NETHERLANDS	48	81.2%	0.23
9	E.Lindqvist	🇳🇴 NORWAY	59	79.7%	0.24
10	R.Levin	🇺🇸 USA 1	46	78.3%	0.24
11	G.Narkiewicz	🇵🇱 POLAND	72	77.8%	0.25
12	N.Kvangraven	🇳🇴 NORWAY	38	76.3%	0.26
13	B.Muller	🇳🇱 NETHERLANDS	49	75.5%	0.27
14	M.Nowosadzki	🇵🇱 POLAND	63	74.6%	0.30
15	J.Verhees	🇳🇱 NETHERLANDS	56	73.2%	0.27
16	S.Weinstein	🇺🇸 USA 1	50	72.0%	0.30
17	N.Bocchi	🇮🇹 ITALY	14	92.9%	0.07
18	C.Ju	🇨🇳 CHINA	12	91.7%	0.08
19	B.Chmurski	🇵🇱 POLAND	21	90.5%	0.10
20	T.Forrester	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	18	88.9%	0.11
21	S.Hult	🇸🇪 SWEDEN	9	88.9%	0.11
22	G.Duboin	🇮🇹 ITALY	14	85.7%	0.14
23	Y.Liu	🇨🇳 CHINA	14	85.7%	0.14
24	A.Livgard	🇳🇴 NORWAY	25	84.0%	0.20
25	A.Robson	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	18	83.3%	0.22
26	J.Allerton	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	18	83.3%	0.22
27	B.Drijver	🇳🇱 NETHERLANDS	33	81.8%	0.18
28	O.Rimstedt	🇸🇪 SWEDEN	16	81.2%	0.19
29	G.Chen	🇨🇳 CHINA	16	81.2%	0.19
30	Z.Zhuang	🇨🇳 CHINA	16	81.2%	0.19
31	T.Aa	🇳🇴 NORWAY	29	79.3%	0.21
32	A.Madala	🇮🇹 ITALY	18	77.8%	0.22
33	N.Nickell	🇺🇸 USA 1	27	77.8%	0.22
34	L.Hu	🇨🇳 CHINA	13	76.9%	0.23
35	L.Lauria	🇮🇹 ITALY	13	76.9%	0.23
36	B.Nab	🇳🇱 NETHERLANDS	28	75.0%	0.25
37	A.Sementa	🇮🇹 ITALY	16	75.0%	0.25
38	S.Ekenberg	🇸🇪 SWEDEN	12	75.0%	0.25
39	F.Nystrom	🇸🇪 SWEDEN	15	73.3%	0.33
40	P.Tuczynski	🇵🇱 POLAND	22	72.7%	0.27
41	A.Malinowski	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	11	72.7%	0.27
42	Z.Shi	🇨🇳 CHINA	21	71.4%	0.29
43	R.Katz	🇺🇸 USA 1	24	70.8%	0.33
44	C.Jagger	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	17	70.6%	0.29
45	J.Upmark	🇸🇪 SWEDEN	20	70.0%	0.30
46	A.Versace	🇮🇹 ITALY	13	69.2%	0.39
47	D.Bakhshi	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	12	58.3%	0.50
48	M.Rimstedt	🇸🇪 SWEDEN	22	54.5%	0.46

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	U.Tundal	🇳🇴 NORWAY	32	84.4%	0.16
2	S.De Wijs	🇳🇱 NETHERLANDS	67	83.6%	0.18
3	N.Kvangraven	🇳🇴 NORWAY	34	82.4%	0.21
4	B.Brogeland	🇳🇴 NORWAY	62	80.6%	0.27
5	J.Kalita	🇵🇱 POLAND	74	79.7%	0.28
6	R.Levin	🇺🇸 USA 1	70	78.6%	0.27
7	E.Lindqvist	🇳🇴 NORWAY	51	78.4%	0.33
8	R.Van Prooijen	🇳🇱 NETHERLANDS	56	75.0%	0.27
9	B.Muller	🇳🇱 NETHERLANDS	43	74.4%	0.30
10	M.Nowosadzki	🇵🇱 POLAND	70	74.3%	0.34
11	K.Buras	🇵🇱 POLAND	41	73.2%	0.37
12	J.Meckstroth	🇺🇸 USA 1	62	72.6%	0.31
13	S.Weinstein	🇺🇸 USA 1	57	71.9%	0.33
14	J.Verhees	🇳🇱 NETHERLANDS	58	70.7%	0.34
15	G.Narkiewicz	🇵🇱 POLAND	58	70.7%	0.38
16	E.Rodwell	🇺🇸 USA 1	45	68.9%	0.38
17	S.Hult	🇸🇪 SWEDEN	3	100.0%	0.00
18	L.Lauria	🇮🇹 ITALY	19	94.7%	0.05
19	A.Robson	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	23	91.3%	0.09
20	C.Jagger	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	16	87.5%	0.12
21	F.Nystrom	🇸🇪 SWEDEN	24	87.5%	0.21
22	R.Katz	🇺🇸 USA 1	28	85.7%	0.21
23	N.Nickell	🇺🇸 USA 1	17	82.4%	0.18
24	B.Nab	🇳🇱 NETHERLANDS	17	82.4%	0.23
25	L.Hu	🇨🇳 CHINA	22	81.8%	0.27
26	J.Allerton	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	13	76.9%	0.31
27	Z.Zhuang	🇨🇳 CHINA	17	76.5%	0.23
28	O.Rimstedt	🇸🇪 SWEDEN	24	75.0%	0.29
29	D.Bakhshi	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	11	72.7%	0.27
30	C.Ju	🇨🇳 CHINA	25	72.0%	0.44
31	N.Bocchi	🇮🇹 ITALY	21	71.4%	0.29
32	A.Malinowski	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	14	71.4%	0.36
33	M.Rimstedt	🇸🇪 SWEDEN	17	70.6%	0.35
34	B.Chmurski	🇵🇱 POLAND	13	69.2%	0.31
35	A.Sementa	🇮🇹 ITALY	13	69.2%	0.31
36	T.Forrester	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	21	66.7%	0.38
37	J.Upmark	🇸🇪 SWEDEN	21	66.7%	0.43
38	B.Drijver	🇳🇱 NETHERLANDS	18	66.7%	0.44
39	A.Madala	🇮🇹 ITALY	20	65.0%	0.50
40	T.Aa	🇳🇴 NORWAY	28	64.3%	0.50
41	A.Versace	🇮🇹 ITALY	19	63.2%	0.42
42	P.Tuczynski	🇵🇱 POLAND	8	62.5%	0.38
43	Y.Liu	🇨🇳 CHINA	15	60.0%	0.40
44	G.Chen	🇨🇳 CHINA	15	60.0%	0.60
45	G.Duboin	🇮🇹 ITALY	12	58.3%	0.67
46	A.Livgard	🇳🇴 NORWAY	30	50.0%	0.63
47	Z.Shi	🇨🇳 CHINA	6	50.0%	0.67
48	S.Ekenberg	🇸🇪 SWEDEN	8	50.0%	0.75

Defensive accuracy↑ top

How often the defenders held declarer to the double-dummy makeable (or fewer) — charged to both defenders on the board. Players with few boards are greyed. Click a column header to sort; filter by name or team.

#	Player	Team	Boards	On target	Conceded
1	K.Buras	🇵🇱 POLAND	141	90.8%	0.10
2	G.Narkiewicz	🇵🇱 POLAND	141	90.8%	0.10
3	B.Brogeland	🇳🇴 NORWAY	127	90.6%	0.19
4	E.Lindqvist	🇳🇴 NORWAY	127	90.6%	0.19
5	R.Van Prooijen	🇳🇱 NETHERLANDS	94	90.4%	0.11
6	J.Verhees	🇳🇱 NETHERLANDS	94	90.4%	0.11
7	N.Kvangraven	🇳🇴 NORWAY	62	90.3%	0.11
8	U.Tundal	🇳🇴 NORWAY	62	90.3%	0.11
9	J.Meckstroth	🇺🇸 USA 1	117	89.7%	0.11
10	E.Rodwell	🇺🇸 USA 1	117	89.7%	0.11
11	S.De Wijs	🇳🇱 NETHERLANDS	97	89.7%	0.11
12	B.Muller	🇳🇱 NETHERLANDS	97	89.7%	0.11
13	J.Kalita	🇵🇱 POLAND	127	87.4%	0.13
14	M.Nowosadzki	🇵🇱 POLAND	127	87.4%	0.13
15	R.Levin	🇺🇸 USA 1	96	86.5%	0.16
16	S.Weinstein	🇺🇸 USA 1	96	86.5%	0.16
17	T.Forrester	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	36	91.7%	0.08
18	A.Robson	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	36	91.7%	0.08
19	F.Nystrom	🇸🇪 SWEDEN	35	88.6%	0.11
20	J.Upmark	🇸🇪 SWEDEN	35	88.6%	0.11
21	L.Lauria	🇮🇹 ITALY	26	88.5%	0.12
22	A.Versace	🇮🇹 ITALY	26	88.5%	0.12
23	S.Ekenberg	🇸🇪 SWEDEN	21	85.7%	0.14
24	S.Hult	🇸🇪 SWEDEN	21	85.7%	0.14
25	G.Chen	🇨🇳 CHINA	32	84.4%	0.16
26	Z.Zhuang	🇨🇳 CHINA	32	84.4%	0.16
27	G.Duboin	🇮🇹 ITALY	32	84.4%	0.19
28	A.Madala	🇮🇹 ITALY	32	84.4%	0.19
29	B.Chmurski	🇵🇱 POLAND	43	83.7%	0.21
30	P.Tuczynski	🇵🇱 POLAND	43	83.7%	0.21
31	B.Drijver	🇳🇱 NETHERLANDS	61	83.6%	0.18
32	B.Nab	🇳🇱 NETHERLANDS	61	83.6%	0.18
33	C.Ju	🇨🇳 CHINA	33	81.8%	0.18
34	Z.Shi	🇨🇳 CHINA	33	81.8%	0.18
35	L.Hu	🇨🇳 CHINA	27	81.5%	0.22
36	Y.Liu	🇨🇳 CHINA	27	81.5%	0.22
37	R.Katz	🇺🇸 USA 1	51	80.4%	0.23
38	N.Nickell	🇺🇸 USA 1	51	80.4%	0.23
39	J.Allerton	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	35	80.0%	0.23
40	C.Jagger	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	35	80.0%	0.23
41	T.Aa	🇳🇴 NORWAY	54	79.6%	0.22
42	A.Livgard	🇳🇴 NORWAY	54	79.6%	0.22
43	M.Rimstedt	🇸🇪 SWEDEN	38	78.9%	0.26
44	O.Rimstedt	🇸🇪 SWEDEN	38	78.9%	0.26
45	D.Bakhshi	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	23	78.3%	0.22
46	A.Malinowski	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	23	78.3%	0.22
47	N.Bocchi	🇮🇹 ITALY	30	70.0%	0.30
48	A.Sementa	🇮🇹 ITALY	30	70.0%	0.30

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	S.De Wijs	🇳🇱 NETHERLANDS	240	+0.03	+0.52	+0.55	·
2	B.Muller	🇳🇱 NETHERLANDS	240	+0.03	+0.52	+0.55	·
3	K.Buras	🇵🇱 POLAND	240	-0.01	+0.41	+0.39	·
4	G.Narkiewicz	🇵🇱 POLAND	240	-0.01	+0.41	+0.39	·
5	J.Kalita	🇵🇱 POLAND	272	-0.09	+0.31	+0.22	·
6	M.Nowosadzki	🇵🇱 POLAND	272	-0.09	+0.31	+0.22	·
7	R.Van Prooijen	🇳🇱 NETHERLANDS	240	-0.23	+0.28	+0.05	·
8	J.Verhees	🇳🇱 NETHERLANDS	240	-0.23	+0.28	+0.05	·
9	J.Meckstroth	🇺🇸 USA 1	224	+0.02	-0.04	-0.02	▲2
10	E.Rodwell	🇺🇸 USA 1	224	+0.02	-0.04	-0.02	▲2
11	B.Brogeland	🇳🇴 NORWAY	272	-0.05	+0.01	-0.03	▼2
12	E.Lindqvist	🇳🇴 NORWAY	272	-0.05	+0.01	-0.03	▼2
13	R.Levin	🇺🇸 USA 1	224	-0.04	-0.07	-0.11	·
14	S.Weinstein	🇺🇸 USA 1	224	-0.04	-0.07	-0.11	·
15	N.Kvangraven	🇳🇴 NORWAY	128	+0.04	-0.24	-0.19	·
16	U.Tundal	🇳🇴 NORWAY	128	+0.04	-0.24	-0.19	·

Stages

Statistics