Lyon 2017 — 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.Huang	🇨🇳 CHINA	192	+1.19	+229.0
2	N.Wang	🇨🇳 CHINA	192	+1.19	+229.0
3	K.Dufrat	🇵🇱 POLAND	255	+0.60	+153.0
4	J.Zmuda	🇵🇱 POLAND	255	+0.60	+153.0
5	P.Andersson	🇸🇪 SWEDEN	160	+0.39	+62.0
6	K.Bertheau	🇸🇪 SWEDEN	160	+0.39	+62.0
7	SHEN (1) Qi	🇨🇳 CHINA	240	+0.17	+40.0
8	W.Wang	🇨🇳 CHINA	240	+0.17	+40.0
9	S.Brock	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	240	+0.11	+26.0
10	F.Brown	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	240	+0.11	+26.0
11	E.Ovelius	🇸🇪 SWEDEN	191	+0.10	+20.0
12	S.Rimstedt	🇸🇪 SWEDEN	191	+0.10	+20.0
13	C.Draper	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	192	-0.17	-32.0
14	N.Smith	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	192	-0.17	-32.0
15	I.Gronkvist	🇸🇪 SWEDEN	191	-0.19	-37.0
16	C.Rimstedt	🇸🇪 SWEDEN	191	-0.19	-37.0
17	S.Penfold	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	112	-0.33	-37.0
18	N.Senior	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	112	-0.33	-37.0
19	Y.Liu	🇨🇳 CHINA	112	-0.51	-57.0
20	Y.Lu	🇨🇳 CHINA	112	-0.51	-57.0
21	C.Baldysz	🇵🇱 POLAND	191	-0.72	-137.0
22	Z.Baldysz	🇵🇱 POLAND	191	-0.72	-137.0
23	A.Gulevich	🇷🇺 RUSSIA	80	+1.31	+105.0
24	E.Khonicheva	🇷🇺 RUSSIA	80	+1.31	+105.0
25	S.Dewi	🇮🇩 INDONESIA	80	+0.14	+11.0
26	K.Murniati	🇮🇩 INDONESIA	80	+0.14	+11.0
27	L.Bojoh	🇮🇩 INDONESIA	96	+0.09	+9.0
28	J.Tueje	🇮🇩 INDONESIA	96	+0.09	+9.0
29	M.Bruijnsteen	🇳🇱 NETHERLANDS	64	+0.00	+0.0
30	L.Dekkers	🇳🇱 NETHERLANDS	64	+0.00	+0.0
31	M.Ticha	🇳🇱 NETHERLANDS	64	-0.03	-2.0
32	W.Van Zwol	🇳🇱 NETHERLANDS	64	-0.03	-2.0
33	M.Nosacki	🇮🇱 ISRAEL	48	-0.04	-2.0
34	N.Saada	🇮🇱 ISRAEL	48	-0.04	-2.0
35	D.Tal	🇮🇱 ISRAEL	96	-0.08	-8.0
36	N.Tal	🇮🇱 ISRAEL	96	-0.08	-8.0
37	A.Asulin	🇮🇱 ISRAEL	48	-0.31	-15.0
38	H.Levi	🇮🇱 ISRAEL	48	-0.31	-15.0
39	C.Arnolds	🇳🇱 NETHERLANDS	64	-0.62	-40.0
40	M.Verbeek	🇳🇱 NETHERLANDS	64	-0.62	-40.0
41	D.Rakhmani	🇷🇺 RUSSIA	48	-0.85	-41.0
42	M.Yakovleva	🇷🇺 RUSSIA	48	-0.85	-41.0
43	N.Gawel	🇵🇱 POLAND	96	-1.23	-118.0
44	A.Jarosz	🇵🇱 POLAND	96	-1.23	-118.0
45	V.Gromova	🇷🇺 RUSSIA	64	-1.41	-90.0
46	T.Ponomareva	🇷🇺 RUSSIA	64	-1.41	-90.0
47	R.Andhani	🇮🇩 INDONESIA	16	-2.44	-39.0
48	C.Sumampouw	🇮🇩 INDONESIA	16	-2.44	-39.0

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	Y.Liu	🇨🇳 CHINA	29	89.7%	0.14
2	F.Brown	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	56	89.3%	0.21
3	W.Wang	🇨🇳 CHINA	70	87.1%	0.14
4	SHEN (1) Qi	🇨🇳 CHINA	46	87.0%	0.15
5	S.Penfold	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	22	86.4%	0.14
6	N.Senior	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	35	85.7%	0.14
7	K.Dufrat	🇵🇱 POLAND	60	85.0%	0.17
8	N.Wang	🇨🇳 CHINA	39	84.6%	0.20
9	Y.Lu	🇨🇳 CHINA	23	82.6%	0.56
10	P.Andersson	🇸🇪 SWEDEN	38	81.6%	0.21
11	C.Rimstedt	🇸🇪 SWEDEN	47	80.9%	0.19
12	E.Ovelius	🇸🇪 SWEDEN	50	80.0%	0.20
13	K.Bertheau	🇸🇪 SWEDEN	45	80.0%	0.24
14	S.Rimstedt	🇸🇪 SWEDEN	49	77.6%	0.24
15	I.Gronkvist	🇸🇪 SWEDEN	39	76.9%	0.23
16	N.Smith	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	56	76.8%	0.23
17	J.Zmuda	🇵🇱 POLAND	67	76.1%	0.28
18	S.Brock	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	49	75.5%	0.24
19	Y.Huang	🇨🇳 CHINA	76	73.7%	0.30
20	C.Baldysz	🇵🇱 POLAND	45	73.3%	0.27
21	Z.Baldysz	🇵🇱 POLAND	40	72.5%	0.40
22	C.Draper	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	56	64.3%	0.46
23	C.Sumampouw	🇮🇩 INDONESIA	5	100.0%	0.00
24	M.Ticha	🇳🇱 NETHERLANDS	20	95.0%	0.05
25	A.Asulin	🇮🇱 ISRAEL	15	93.3%	0.07
26	N.Gawel	🇵🇱 POLAND	24	91.7%	0.08
27	L.Bojoh	🇮🇩 INDONESIA	23	91.3%	0.09
28	M.Nosacki	🇮🇱 ISRAEL	10	90.0%	0.10
29	V.Gromova	🇷🇺 RUSSIA	20	90.0%	0.10
30	M.Bruijnsteen	🇳🇱 NETHERLANDS	18	88.9%	0.11
31	M.Verbeek	🇳🇱 NETHERLANDS	9	88.9%	0.22
32	E.Khonicheva	🇷🇺 RUSSIA	16	87.5%	0.12
33	K.Murniati	🇮🇩 INDONESIA	27	85.2%	0.15
34	S.Dewi	🇮🇩 INDONESIA	20	85.0%	0.15
35	N.Tal	🇮🇱 ISRAEL	26	84.6%	0.19
36	J.Tueje	🇮🇩 INDONESIA	19	84.2%	0.16
37	T.Ponomareva	🇷🇺 RUSSIA	12	83.3%	0.17
38	M.Yakovleva	🇷🇺 RUSSIA	10	80.0%	0.20
39	W.Van Zwol	🇳🇱 NETHERLANDS	20	80.0%	0.20
40	A.Jarosz	🇵🇱 POLAND	18	77.8%	0.39
41	D.Tal	🇮🇱 ISRAEL	30	76.7%	0.23
42	A.Gulevich	🇷🇺 RUSSIA	21	76.2%	0.29
43	L.Dekkers	🇳🇱 NETHERLANDS	11	72.7%	0.27
44	C.Arnolds	🇳🇱 NETHERLANDS	22	72.7%	0.27
45	N.Saada	🇮🇱 ISRAEL	17	64.7%	0.35
46	D.Rakhmani	🇷🇺 RUSSIA	11	63.6%	0.46
47	R.Andhani	🇮🇩 INDONESIA	5	40.0%	0.60
48	H.Levi	🇮🇱 ISRAEL	3	33.3%	0.67

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	K.Dufrat	🇵🇱 POLAND	57	87.7%	0.21
2	Y.Liu	🇨🇳 CHINA	27	85.2%	0.15
3	J.Zmuda	🇵🇱 POLAND	71	83.1%	0.20
4	F.Brown	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	65	83.1%	0.20
5	C.Rimstedt	🇸🇪 SWEDEN	50	82.0%	0.26
6	Y.Lu	🇨🇳 CHINA	33	81.8%	0.24
7	Y.Huang	🇨🇳 CHINA	49	79.6%	0.31
8	N.Smith	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	39	79.5%	0.28
9	P.Andersson	🇸🇪 SWEDEN	42	78.6%	0.26
10	C.Draper	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	40	77.5%	0.30
11	S.Brock	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	70	77.1%	0.33
12	I.Gronkvist	🇸🇪 SWEDEN	55	76.4%	0.31
13	C.Baldysz	🇵🇱 POLAND	55	76.4%	0.38
14	W.Wang	🇨🇳 CHINA	63	76.2%	0.27
15	S.Penfold	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	29	75.9%	0.28
16	S.Rimstedt	🇸🇪 SWEDEN	61	75.4%	0.33
17	E.Ovelius	🇸🇪 SWEDEN	31	74.2%	0.39
18	Z.Baldysz	🇵🇱 POLAND	51	72.5%	0.29
19	SHEN (1) Qi	🇨🇳 CHINA	61	72.1%	0.44
20	N.Wang	🇨🇳 CHINA	28	71.4%	0.36
21	K.Bertheau	🇸🇪 SWEDEN	35	62.9%	0.63
22	N.Senior	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	26	61.5%	0.42
23	M.Verbeek	🇳🇱 NETHERLANDS	10	90.0%	0.10
24	A.Asulin	🇮🇱 ISRAEL	15	86.7%	0.20
25	M.Nosacki	🇮🇱 ISRAEL	7	85.7%	0.14
26	C.Arnolds	🇳🇱 NETHERLANDS	23	82.6%	0.22
27	L.Bojoh	🇮🇩 INDONESIA	27	81.5%	0.26
28	M.Ticha	🇳🇱 NETHERLANDS	10	80.0%	0.20
29	M.Bruijnsteen	🇳🇱 NETHERLANDS	10	80.0%	0.20
30	K.Murniati	🇮🇩 INDONESIA	15	80.0%	0.20
31	E.Khonicheva	🇷🇺 RUSSIA	20	80.0%	0.25
32	J.Tueje	🇮🇩 INDONESIA	27	77.8%	0.26
33	N.Tal	🇮🇱 ISRAEL	21	76.2%	0.33
34	L.Dekkers	🇳🇱 NETHERLANDS	25	76.0%	0.28
35	A.Gulevich	🇷🇺 RUSSIA	23	73.9%	0.30
36	A.Jarosz	🇵🇱 POLAND	34	73.5%	0.44
37	H.Levi	🇮🇱 ISRAEL	15	73.3%	0.27
38	D.Rakhmani	🇷🇺 RUSSIA	13	69.2%	0.31
39	V.Gromova	🇷🇺 RUSSIA	16	68.8%	0.31
40	D.Tal	🇮🇱 ISRAEL	19	68.4%	0.37
41	S.Dewi	🇮🇩 INDONESIA	18	66.7%	0.33
42	R.Andhani	🇮🇩 INDONESIA	3	66.7%	0.33
43	T.Ponomareva	🇷🇺 RUSSIA	15	66.7%	0.53
44	N.Gawel	🇵🇱 POLAND	20	65.0%	0.40
45	W.Van Zwol	🇳🇱 NETHERLANDS	14	64.3%	0.36
46	M.Yakovleva	🇷🇺 RUSSIA	14	64.3%	0.43
47	N.Saada	🇮🇱 ISRAEL	14	50.0%	0.50
48	C.Sumampouw	🇮🇩 INDONESIA	3	0.0%	1.67

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.Dufrat	🇵🇱 POLAND	127	89.8%	0.14
2	J.Zmuda	🇵🇱 POLAND	127	89.8%	0.14
3	I.Gronkvist	🇸🇪 SWEDEN	86	88.4%	0.13
4	C.Rimstedt	🇸🇪 SWEDEN	86	88.4%	0.13
5	Y.Huang	🇨🇳 CHINA	115	87.8%	0.14
6	N.Wang	🇨🇳 CHINA	115	87.8%	0.14
7	SHEN (1) Qi	🇨🇳 CHINA	116	87.1%	0.15
8	W.Wang	🇨🇳 CHINA	116	87.1%	0.15
9	C.Baldysz	🇵🇱 POLAND	85	87.1%	0.15
10	Z.Baldysz	🇵🇱 POLAND	85	87.1%	0.15
11	E.Ovelius	🇸🇪 SWEDEN	99	86.9%	0.15
12	S.Rimstedt	🇸🇪 SWEDEN	99	86.9%	0.15
13	S.Penfold	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	57	86.0%	0.16
14	N.Senior	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	57	86.0%	0.16
15	P.Andersson	🇸🇪 SWEDEN	83	85.5%	0.18
16	K.Bertheau	🇸🇪 SWEDEN	83	85.5%	0.18
17	S.Brock	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	105	83.8%	0.19
18	F.Brown	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	105	83.8%	0.19
19	Y.Liu	🇨🇳 CHINA	52	80.8%	0.21
20	Y.Lu	🇨🇳 CHINA	52	80.8%	0.21
21	C.Draper	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	112	79.5%	0.22
22	N.Smith	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	112	79.5%	0.22
23	M.Nosacki	🇮🇱 ISRAEL	27	100.0%	0.00
24	N.Saada	🇮🇱 ISRAEL	27	100.0%	0.00
25	A.Asulin	🇮🇱 ISRAEL	18	94.4%	0.11
26	H.Levi	🇮🇱 ISRAEL	18	94.4%	0.11
27	C.Arnolds	🇳🇱 NETHERLANDS	31	93.5%	0.07
28	M.Verbeek	🇳🇱 NETHERLANDS	31	93.5%	0.07
29	A.Gulevich	🇷🇺 RUSSIA	37	89.2%	0.11
30	E.Khonicheva	🇷🇺 RUSSIA	37	89.2%	0.11
31	L.Bojoh	🇮🇩 INDONESIA	42	88.1%	0.12
32	J.Tueje	🇮🇩 INDONESIA	42	88.1%	0.12
33	D.Tal	🇮🇱 ISRAEL	56	87.5%	0.16
34	N.Tal	🇮🇱 ISRAEL	56	87.5%	0.16
35	N.Gawel	🇵🇱 POLAND	42	85.7%	0.17
36	A.Jarosz	🇵🇱 POLAND	42	85.7%	0.17
37	M.Bruijnsteen	🇳🇱 NETHERLANDS	29	82.8%	0.17
38	L.Dekkers	🇳🇱 NETHERLANDS	29	82.8%	0.17
39	M.Ticha	🇳🇱 NETHERLANDS	40	82.5%	0.17
40	W.Van Zwol	🇳🇱 NETHERLANDS	40	82.5%	0.17
41	S.Dewi	🇮🇩 INDONESIA	47	76.6%	0.28
42	K.Murniati	🇮🇩 INDONESIA	47	76.6%	0.28
43	D.Rakhmani	🇷🇺 RUSSIA	21	76.2%	0.48
44	M.Yakovleva	🇷🇺 RUSSIA	21	76.2%	0.48
45	V.Gromova	🇷🇺 RUSSIA	32	71.9%	0.41
46	T.Ponomareva	🇷🇺 RUSSIA	32	71.9%	0.41
47	R.Andhani	🇮🇩 INDONESIA	10	70.0%	0.30
48	C.Sumampouw	🇮🇩 INDONESIA	10	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	Y.Huang	🇨🇳 CHINA	208	-0.19	+0.84	+0.65	·
2	N.Wang	🇨🇳 CHINA	208	-0.19	+0.84	+0.65	·
3	K.Dufrat	🇵🇱 POLAND	272	+0.21	+0.25	+0.46	▲4
4	J.Zmuda	🇵🇱 POLAND	272	+0.21	+0.25	+0.46	▲4
5	SHEN (1) Qi	🇨🇳 CHINA	256	-0.29	+0.68	+0.39	▼2
6	W.Wang	🇨🇳 CHINA	256	-0.29	+0.68	+0.39	▼2
7	I.Gronkvist	🇸🇪 SWEDEN	208	-0.06	+0.44	+0.38	▼2
8	C.Rimstedt	🇸🇪 SWEDEN	208	-0.06	+0.44	+0.38	▼2
9	S.Brock	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	256	+0.10	+0.24	+0.35	·
10	F.Brown	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	256	+0.10	+0.24	+0.35	·
11	S.Penfold	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	112	+0.22	-0.27	-0.05	▲2
12	N.Senior	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	112	+0.22	-0.27	-0.05	▲2
13	C.Draper	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	208	+0.31	-0.51	-0.20	▲8
14	N.Smith	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	208	+0.31	-0.51	-0.20	▲8
15	E.Ovelius	🇸🇪 SWEDEN	192	-0.25	-0.01	-0.26	▼4
16	S.Rimstedt	🇸🇪 SWEDEN	192	-0.25	-0.01	-0.26	▼4
17	C.Baldysz	🇵🇱 POLAND	208	+0.08	-0.42	-0.34	▲2
18	Z.Baldysz	🇵🇱 POLAND	208	+0.08	-0.42	-0.34	▲2
19	Y.Liu	🇨🇳 CHINA	112	+0.01	-0.38	-0.38	▼2
20	Y.Lu	🇨🇳 CHINA	112	+0.01	-0.38	-0.38	▼2
21	P.Andersson	🇸🇪 SWEDEN	176	-0.12	-0.37	-0.49	▼6
22	K.Bertheau	🇸🇪 SWEDEN	176	-0.12	-0.37	-0.49	▼6

Stages

Statistics