Chennai 2015 — 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	S.Brock	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	208	+0.60	+124.0
2	N.Smith	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	208	+0.60	+124.0
3	M.Michielsen	🇳🇱 NETHERLANDS	240	+0.57	+136.0
4	M.Wortel	🇳🇱 NETHERLANDS	240	+0.57	+136.0
5	J.Seamon-Molson	🇺🇸 USA2	240	+0.42	+101.0
6	T.Sokolow	🇺🇸 USA2	240	+0.42	+101.0
7	H.Dhondy	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	208	+0.28	+58.0
8	N.Senior	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	208	+0.28	+58.0
9	V.Reess	🇫🇷 FRANCE	256	+0.22	+56.0
10	J.Zochowska	🇫🇷 FRANCE	256	+0.22	+56.0
11	B.Cronier	🇫🇷 FRANCE	288	+0.03	+9.0
12	S.Willard	🇫🇷 FRANCE	288	+0.03	+9.0
13	L.Deas	🇺🇸 USA2	240	+0.01	+3.0
14	B.Palmer	🇺🇸 USA2	240	+0.01	+3.0
15	F.Brown	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	128	-0.47	-60.0
16	C.Draper	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	128	-0.47	-60.0
17	C.Arnolds	🇳🇱 NETHERLANDS	160	-0.53	-85.0
18	W.Van Zwol	🇳🇱 NETHERLANDS	160	-0.53	-85.0
19	J.Pasman	🇳🇱 NETHERLANDS	144	-0.69	-99.0
20	A.Simons	🇳🇱 NETHERLANDS	144	-0.69	-99.0
21	D.Campagnano	🇫🇷 FRANCE	32	+1.16	+37.0
22	E.Hugon	🇫🇷 FRANCE	32	+1.16	+37.0
23	SHEN (1) Qi	🇨🇳 CHINA	96	+0.59	+57.0
24	W.Wang	🇨🇳 CHINA	96	+0.59	+57.0
25	C.Ferlazzo	🇮🇹 ITALY	80	+0.54	+43.0
26	G.Manara	🇮🇹 ITALY	80	+0.54	+43.0
27	Y.Li	🇨🇳 CHINA	16	+0.44	+7.0
28	R.Yan	🇨🇳 CHINA	16	+0.44	+7.0
29	A.Houlberg	🇩🇰 DENMARK	80	+0.38	+30.0
30	C.Madsen	🇩🇰 DENMARK	80	+0.38	+30.0
31	L.Bilde	🇩🇰 DENMARK	48	+0.31	+15.0
32	H.Rasmussen	🇩🇰 DENMARK	48	+0.31	+15.0
33	J.Levin	🇺🇸 USA1	80	+0.07	+6.0
34	J.Wolpert	🇺🇸 USA1	80	+0.07	+6.0
35	J.Chambers	🇺🇸 USA2	96	-0.42	-40.0
36	J.Glasson	🇺🇸 USA2	96	-0.42	-40.0
37	H.Narasimhan	🇺🇸 USA1	32	-0.50	-16.0
38	J.Radin	🇺🇸 USA1	32	-0.50	-16.0
39	M.Chavarria	🇮🇹 ITALY	48	-0.98	-47.0
40	F.Piscitelli	🇮🇹 ITALY	48	-0.98	-47.0
41	J.Meyers	🇺🇸 USA1	80	-0.99	-79.0
42	M.Zur-Campanile	🇺🇸 USA1	80	-0.99	-79.0
43	S.Paoluzi	🇮🇹 ITALY	64	-1.06	-68.0
44	I.Saccavini	🇮🇹 ITALY	64	-1.06	-68.0
45	H.Wang	🇨🇳 CHINA	80	-1.20	-96.0
46	Y.Zhang	🇨🇳 CHINA	80	-1.20	-96.0
47	N.Bekkouche	🇩🇰 DENMARK	64	-1.44	-92.0
48	M.Rahelt	🇩🇰 DENMARK	64	-1.44	-92.0

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.Simons	🇳🇱 NETHERLANDS	23	91.3%	0.13
2	C.Arnolds	🇳🇱 NETHERLANDS	48	87.5%	0.19
3	W.Van Zwol	🇳🇱 NETHERLANDS	38	84.2%	0.16
4	J.Zochowska	🇫🇷 FRANCE	75	84.0%	0.23
5	H.Dhondy	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	41	82.9%	0.27
6	N.Senior	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	62	80.6%	0.24
7	B.Cronier	🇫🇷 FRANCE	82	80.5%	0.24
8	N.Smith	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	48	79.2%	0.23
9	S.Willard	🇫🇷 FRANCE	56	78.6%	0.29
10	B.Palmer	🇺🇸 USA2	60	78.3%	0.30
11	V.Reess	🇫🇷 FRANCE	56	76.8%	0.27
12	L.Deas	🇺🇸 USA2	66	75.8%	0.29
13	C.Draper	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	23	73.9%	0.39
14	J.Seamon-Molson	🇺🇸 USA2	63	73.0%	0.35
15	T.Sokolow	🇺🇸 USA2	50	72.0%	0.30
16	M.Michielsen	🇳🇱 NETHERLANDS	60	71.7%	0.35
17	M.Wortel	🇳🇱 NETHERLANDS	61	70.5%	0.34
18	J.Pasman	🇳🇱 NETHERLANDS	32	68.8%	0.41
19	S.Brock	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	59	67.8%	0.42
20	F.Brown	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	37	64.9%	0.41
21	Y.Li	🇨🇳 CHINA	4	100.0%	0.00
22	G.Manara	🇮🇹 ITALY	19	94.7%	0.05
23	I.Saccavini	🇮🇹 ITALY	17	88.2%	0.18
24	H.Rasmussen	🇩🇰 DENMARK	14	85.7%	0.21
25	Y.Zhang	🇨🇳 CHINA	13	84.6%	0.15
26	C.Madsen	🇩🇰 DENMARK	18	83.3%	0.17
27	S.Paoluzi	🇮🇹 ITALY	12	83.3%	0.17
28	J.Meyers	🇺🇸 USA1	24	83.3%	0.17
29	J.Radin	🇺🇸 USA1	6	83.3%	0.33
30	J.Chambers	🇺🇸 USA2	23	82.6%	0.17
31	J.Wolpert	🇺🇸 USA1	23	82.6%	0.17
32	D.Campagnano	🇫🇷 FRANCE	11	81.8%	0.18
33	M.Zur-Campanile	🇺🇸 USA1	16	81.2%	0.25
34	M.Chavarria	🇮🇹 ITALY	14	78.6%	0.21
35	N.Bekkouche	🇩🇰 DENMARK	18	77.8%	0.22
36	SHEN (1) Qi	🇨🇳 CHINA	26	76.9%	0.23
37	J.Levin	🇺🇸 USA1	17	76.5%	0.29
38	C.Ferlazzo	🇮🇹 ITALY	27	74.1%	0.30
39	H.Wang	🇨🇳 CHINA	19	73.7%	0.37
40	W.Wang	🇨🇳 CHINA	29	72.4%	0.38
41	J.Glasson	🇺🇸 USA2	27	70.4%	0.44
42	H.Narasimhan	🇺🇸 USA1	10	70.0%	0.40
43	A.Houlberg	🇩🇰 DENMARK	16	68.8%	0.50
44	M.Rahelt	🇩🇰 DENMARK	14	64.3%	0.36
45	F.Piscitelli	🇮🇹 ITALY	10	60.0%	0.40
46	E.Hugon	🇫🇷 FRANCE	10	60.0%	0.80
47	L.Bilde	🇩🇰 DENMARK	15	53.3%	0.53
48	R.Yan	🇨🇳 CHINA	4	50.0%	0.50

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	J.Pasman	🇳🇱 NETHERLANDS	47	85.1%	0.21
2	N.Senior	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	51	82.4%	0.23
3	C.Arnolds	🇳🇱 NETHERLANDS	36	80.6%	0.19
4	M.Wortel	🇳🇱 NETHERLANDS	62	80.6%	0.27
5	T.Sokolow	🇺🇸 USA2	61	80.3%	0.29
6	V.Reess	🇫🇷 FRANCE	50	80.0%	0.24
7	M.Michielsen	🇳🇱 NETHERLANDS	54	79.6%	0.30
8	J.Zochowska	🇫🇷 FRANCE	75	78.7%	0.28
9	S.Willard	🇫🇷 FRANCE	70	78.6%	0.24
10	L.Deas	🇺🇸 USA2	66	77.3%	0.30
11	N.Smith	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	51	74.5%	0.35
12	J.Seamon-Molson	🇺🇸 USA2	65	73.8%	0.43
13	B.Cronier	🇫🇷 FRANCE	79	73.4%	0.41
14	H.Dhondy	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	54	72.2%	0.33
15	C.Draper	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	35	71.4%	0.31
16	F.Brown	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	31	71.0%	0.39
17	S.Brock	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	49	69.4%	0.41
18	W.Van Zwol	🇳🇱 NETHERLANDS	36	63.9%	0.44
19	B.Palmer	🇺🇸 USA2	47	63.8%	0.51
20	A.Simons	🇳🇱 NETHERLANDS	42	54.8%	0.52
21	A.Houlberg	🇩🇰 DENMARK	22	95.5%	0.18
22	C.Ferlazzo	🇮🇹 ITALY	18	88.9%	0.11
23	J.Radin	🇺🇸 USA1	9	88.9%	0.11
24	E.Hugon	🇫🇷 FRANCE	8	87.5%	0.12
25	J.Glasson	🇺🇸 USA2	24	87.5%	0.12
26	S.Paoluzi	🇮🇹 ITALY	18	83.3%	0.17
27	L.Bilde	🇩🇰 DENMARK	6	83.3%	0.17
28	H.Wang	🇨🇳 CHINA	24	83.3%	0.21
29	J.Chambers	🇺🇸 USA2	22	81.8%	0.32
30	G.Manara	🇮🇹 ITALY	16	81.2%	0.19
31	R.Yan	🇨🇳 CHINA	5	80.0%	0.20
32	J.Levin	🇺🇸 USA1	19	78.9%	0.26
33	C.Madsen	🇩🇰 DENMARK	23	78.3%	0.22
34	SHEN (1) Qi	🇨🇳 CHINA	13	76.9%	0.23
35	M.Rahelt	🇩🇰 DENMARK	17	76.5%	0.41
36	I.Saccavini	🇮🇹 ITALY	16	75.0%	0.38
37	Y.Zhang	🇨🇳 CHINA	23	73.9%	0.26
38	N.Bekkouche	🇩🇰 DENMARK	15	73.3%	0.33
39	M.Chavarria	🇮🇹 ITALY	11	72.7%	0.27
40	W.Wang	🇨🇳 CHINA	28	71.4%	0.36
41	M.Zur-Campanile	🇺🇸 USA1	20	70.0%	0.30
42	J.Wolpert	🇺🇸 USA1	21	66.7%	0.33
43	J.Meyers	🇺🇸 USA1	20	65.0%	0.40
44	F.Piscitelli	🇮🇹 ITALY	12	58.3%	0.50
45	H.Narasimhan	🇺🇸 USA1	7	57.1%	0.57
46	H.Rasmussen	🇩🇰 DENMARK	13	53.8%	0.46
47	D.Campagnano	🇫🇷 FRANCE	2	50.0%	1.00
48	Y.Li	🇨🇳 CHINA	3	33.3%	0.67

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	L.Deas	🇺🇸 USA2	126	91.3%	0.09
2	B.Palmer	🇺🇸 USA2	126	91.3%	0.09
3	H.Dhondy	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	103	91.3%	0.10
4	N.Senior	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	103	91.3%	0.10
5	M.Michielsen	🇳🇱 NETHERLANDS	121	89.3%	0.13
6	M.Wortel	🇳🇱 NETHERLANDS	121	89.3%	0.13
7	S.Brock	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	107	88.8%	0.12
8	N.Smith	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	107	88.8%	0.12
9	C.Arnolds	🇳🇱 NETHERLANDS	86	87.2%	0.17
10	W.Van Zwol	🇳🇱 NETHERLANDS	86	87.2%	0.17
11	F.Brown	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	60	86.7%	0.27
12	C.Draper	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	60	86.7%	0.27
13	J.Seamon-Molson	🇺🇸 USA2	113	85.8%	0.19
14	T.Sokolow	🇺🇸 USA2	113	85.8%	0.19
15	B.Cronier	🇫🇷 FRANCE	138	85.5%	0.17
16	S.Willard	🇫🇷 FRANCE	138	85.5%	0.17
17	V.Reess	🇫🇷 FRANCE	131	81.7%	0.22
18	J.Zochowska	🇫🇷 FRANCE	131	81.7%	0.22
19	J.Pasman	🇳🇱 NETHERLANDS	55	78.2%	0.27
20	A.Simons	🇳🇱 NETHERLANDS	55	78.2%	0.27
21	H.Narasimhan	🇺🇸 USA1	16	93.8%	0.06
22	J.Radin	🇺🇸 USA1	16	93.8%	0.06
23	M.Chavarria	🇮🇹 ITALY	24	91.7%	0.08
24	F.Piscitelli	🇮🇹 ITALY	24	91.7%	0.08
25	J.Levin	🇺🇸 USA1	40	90.0%	0.12
26	J.Wolpert	🇺🇸 USA1	40	90.0%	0.12
27	S.Paoluzi	🇮🇹 ITALY	29	89.7%	0.21
28	I.Saccavini	🇮🇹 ITALY	29	89.7%	0.21
29	SHEN (1) Qi	🇨🇳 CHINA	55	89.1%	0.13
30	W.Wang	🇨🇳 CHINA	55	89.1%	0.13
31	Y.Li	🇨🇳 CHINA	8	87.5%	0.38
32	R.Yan	🇨🇳 CHINA	8	87.5%	0.38
33	J.Chambers	🇺🇸 USA2	50	86.0%	0.16
34	J.Glasson	🇺🇸 USA2	50	86.0%	0.16
35	J.Meyers	🇺🇸 USA1	40	85.0%	0.20
36	M.Zur-Campanile	🇺🇸 USA1	40	85.0%	0.20
37	H.Wang	🇨🇳 CHINA	32	84.4%	0.16
38	Y.Zhang	🇨🇳 CHINA	32	84.4%	0.16
39	C.Ferlazzo	🇮🇹 ITALY	46	82.6%	0.22
40	G.Manara	🇮🇹 ITALY	46	82.6%	0.22
41	N.Bekkouche	🇩🇰 DENMARK	32	81.2%	0.22
42	M.Rahelt	🇩🇰 DENMARK	32	81.2%	0.22
43	A.Houlberg	🇩🇰 DENMARK	34	79.4%	0.23
44	C.Madsen	🇩🇰 DENMARK	34	79.4%	0.23
45	D.Campagnano	🇫🇷 FRANCE	21	76.2%	0.29
46	E.Hugon	🇫🇷 FRANCE	21	76.2%	0.29
47	L.Bilde	🇩🇰 DENMARK	29	72.4%	0.31
48	H.Rasmussen	🇩🇰 DENMARK	29	72.4%	0.31

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	L.Deas	🇺🇸 USA2	240	-0.03	+0.38	+0.35	·
2	B.Palmer	🇺🇸 USA2	240	-0.03	+0.38	+0.35	·
3	B.Cronier	🇫🇷 FRANCE	288	-0.01	+0.26	+0.25	·
4	S.Willard	🇫🇷 FRANCE	288	-0.01	+0.26	+0.25	·
5	S.Brock	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	208	+0.00	+0.24	+0.24	·
6	N.Smith	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	208	+0.00	+0.24	+0.24	·
7	J.Seamon-Molson	🇺🇸 USA2	240	+0.05	+0.06	+0.11	▲6
8	T.Sokolow	🇺🇸 USA2	240	+0.05	+0.06	+0.11	▲6
9	M.Michielsen	🇳🇱 NETHERLANDS	240	-0.03	+0.13	+0.10	▲2
10	M.Wortel	🇳🇱 NETHERLANDS	240	-0.03	+0.13	+0.10	▲2
11	H.Dhondy	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	208	-0.09	+0.17	+0.08	▼4
12	N.Senior	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	208	-0.09	+0.17	+0.08	▼4
13	V.Reess	🇫🇷 FRANCE	256	-0.07	+0.14	+0.07	▼4
14	J.Zochowska	🇫🇷 FRANCE	256	-0.07	+0.14	+0.07	▼4
15	J.Pasman	🇳🇱 NETHERLANDS	144	-0.03	-0.19	-0.21	▲2
16	A.Simons	🇳🇱 NETHERLANDS	144	-0.03	-0.19	-0.21	▲2
17	F.Brown	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	128	-0.28	+0.04	-0.24	▼2
18	C.Draper	🏴󠁧󠁢󠁥󠁮󠁧󠁿 ENGLAND	128	-0.28	+0.04	-0.24	▼2
19	C.Arnolds	🇳🇱 NETHERLANDS	160	+0.01	-0.37	-0.36	·
20	W.Van Zwol	🇳🇱 NETHERLANDS	160	+0.01	-0.37	-0.36	·

Stages

Statistics