Bangkok 2006 — 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	E.Argelazi	🇮🇱 ISRAEL	80	+1.69	+135.0
2	A.Birman	🇮🇱 ISRAEL	80	+1.69	+135.0
3	P.Butryn	🇵🇱 POLAND	96	+0.86	+83.0
4	M.Sikora	🇵🇱 POLAND	96	+0.86	+83.0
5	R.Segev	🇮🇱 ISRAEL	96	+0.70	+67.0
6	D.Tal	🇮🇱 ISRAEL	96	+0.70	+67.0
7	D.Padon	🇮🇱 ISRAEL	80	+0.42	+34.0
8	B.Tarnovski	🇮🇱 ISRAEL	80	+0.42	+34.0
9	M.Lorencs	🇱🇻 LATVIA	112	-0.23	-26.0
10	P.Bethers	🇱🇻 LATVIA	128	-0.33	-42.0
11	J.Balasovs	🇱🇻 LATVIA	144	-0.67	-96.0
12	J.Bethers	🇱🇻 LATVIA	144	-0.67	-96.0
13	M.De Livera	🇦🇺 AUSTRALIA	80	-1.93	-154.0
14	J.Mill	🇦🇺 AUSTRALIA	80	-1.93	-154.0
15	B.Igla	🇵🇱 POLAND	64	+0.73	+47.0
16	A.Machno	🇵🇱 POLAND	64	+0.73	+47.0
17	J.Krawczyk	🇵🇱 POLAND	64	+0.08	+5.0
18	A.Wasiak	🇵🇱 POLAND	64	+0.08	+5.0
19	A.Edgtton	🇦🇺 AUSTRALIA	48	-0.06	-3.0
20	N.Edgtton	🇦🇺 AUSTRALIA	48	-0.06	-3.0
21	P.Hollands	🇦🇺 AUSTRALIA	64	-0.83	-53.0
22	A.Hung	🇦🇺 AUSTRALIA	64	-0.83	-53.0
23	A.Imsa	🇱🇻 LATVIA	48	-1.29	-62.0

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	E.Argelazi	🇮🇱 ISRAEL	22	95.5%	0.04
2	J.Balasovs	🇱🇻 LATVIA	36	91.7%	0.14
3	J.Mill	🇦🇺 AUSTRALIA	19	89.5%	0.10
4	P.Butryn	🇵🇱 POLAND	27	88.9%	0.15
5	P.Bethers	🇱🇻 LATVIA	35	88.6%	0.11
6	A.Birman	🇮🇱 ISRAEL	25	88.0%	0.12
7	D.Padon	🇮🇱 ISRAEL	24	87.5%	0.21
8	M.Sikora	🇵🇱 POLAND	15	80.0%	0.20
9	D.Tal	🇮🇱 ISRAEL	29	79.3%	0.21
10	M.Lorencs	🇱🇻 LATVIA	23	78.3%	0.26
11	J.Bethers	🇱🇻 LATVIA	33	75.8%	0.27
12	M.De Livera	🇦🇺 AUSTRALIA	15	60.0%	0.53
13	R.Segev	🇮🇱 ISRAEL	22	59.1%	0.46
14	B.Tarnovski	🇮🇱 ISRAEL	16	56.2%	0.50
15	A.Machno	🇵🇱 POLAND	15	93.3%	0.07
16	N.Edgtton	🇦🇺 AUSTRALIA	14	85.7%	0.29
17	A.Wasiak	🇵🇱 POLAND	19	84.2%	0.21
18	A.Edgtton	🇦🇺 AUSTRALIA	6	83.3%	0.17
19	B.Igla	🇵🇱 POLAND	20	80.0%	0.20
20	A.Hung	🇦🇺 AUSTRALIA	19	78.9%	0.32
21	J.Krawczyk	🇵🇱 POLAND	18	77.8%	0.28
22	P.Hollands	🇦🇺 AUSTRALIA	11	63.6%	0.36
23	A.Imsa	🇱🇻 LATVIA	15	60.0%	0.60

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	D.Tal	🇮🇱 ISRAEL	18	94.4%	0.06
2	A.Birman	🇮🇱 ISRAEL	18	88.9%	0.11
3	E.Argelazi	🇮🇱 ISRAEL	15	80.0%	0.20
4	R.Segev	🇮🇱 ISRAEL	25	80.0%	0.24
5	D.Padon	🇮🇱 ISRAEL	18	77.8%	0.33
6	B.Tarnovski	🇮🇱 ISRAEL	22	77.3%	0.27
7	P.Butryn	🇵🇱 POLAND	22	77.3%	0.36
8	J.Balasovs	🇱🇻 LATVIA	39	76.9%	0.28
9	M.Sikora	🇵🇱 POLAND	32	75.0%	0.28
10	J.Mill	🇦🇺 AUSTRALIA	30	73.3%	0.30
11	P.Bethers	🇱🇻 LATVIA	32	68.8%	0.47
12	J.Bethers	🇱🇻 LATVIA	35	68.6%	0.40
13	M.Lorencs	🇱🇻 LATVIA	26	65.4%	0.46
14	M.De Livera	🇦🇺 AUSTRALIA	16	43.8%	0.81
15	A.Machno	🇵🇱 POLAND	13	84.6%	0.15
16	N.Edgtton	🇦🇺 AUSTRALIA	18	83.3%	0.22
17	A.Wasiak	🇵🇱 POLAND	16	81.2%	0.19
18	B.Igla	🇵🇱 POLAND	16	81.2%	0.25
19	A.Imsa	🇱🇻 LATVIA	12	66.7%	0.33
20	P.Hollands	🇦🇺 AUSTRALIA	9	66.7%	0.44
21	A.Hung	🇦🇺 AUSTRALIA	25	64.0%	0.40
22	J.Krawczyk	🇵🇱 POLAND	11	63.6%	0.36
23	A.Edgtton	🇦🇺 AUSTRALIA	10	60.0%	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	E.Argelazi	🇮🇱 ISRAEL	47	93.6%	0.06
2	A.Birman	🇮🇱 ISRAEL	47	93.6%	0.06
3	J.Balasovs	🇱🇻 LATVIA	69	91.3%	0.09
4	J.Bethers	🇱🇻 LATVIA	69	91.3%	0.09
5	D.Padon	🇮🇱 ISRAEL	40	87.5%	0.17
6	B.Tarnovski	🇮🇱 ISRAEL	40	87.5%	0.17
7	P.Butryn	🇵🇱 POLAND	42	85.7%	0.14
8	M.Sikora	🇵🇱 POLAND	42	85.7%	0.14
9	R.Segev	🇮🇱 ISRAEL	51	84.3%	0.16
10	D.Tal	🇮🇱 ISRAEL	51	84.3%	0.16
11	P.Bethers	🇱🇻 LATVIA	63	82.5%	0.21
12	M.De Livera	🇦🇺 AUSTRALIA	34	82.4%	0.18
13	J.Mill	🇦🇺 AUSTRALIA	34	82.4%	0.18
14	M.Lorencs	🇱🇻 LATVIA	58	79.3%	0.24
15	A.Edgtton	🇦🇺 AUSTRALIA	20	90.0%	0.15
16	N.Edgtton	🇦🇺 AUSTRALIA	20	90.0%	0.15
17	B.Igla	🇵🇱 POLAND	35	85.7%	0.14
18	A.Machno	🇵🇱 POLAND	35	85.7%	0.14
19	A.Imsa	🇱🇻 LATVIA	25	80.0%	0.20
20	P.Hollands	🇦🇺 AUSTRALIA	30	80.0%	0.23
21	A.Hung	🇦🇺 AUSTRALIA	30	80.0%	0.23
22	J.Krawczyk	🇵🇱 POLAND	37	75.7%	0.27
23	A.Wasiak	🇵🇱 POLAND	37	75.7%	0.27

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	R.Segev	🇮🇱 ISRAEL	112	-1.31	+2.07	+0.76	·
2	D.Tal	🇮🇱 ISRAEL	112	-1.31	+2.07	+0.76	·
3	M.Lorencs	🇱🇻 LATVIA	112	+1.08	-0.64	+0.44	▲6
4	P.Bethers	🇱🇻 LATVIA	128	+1.20	-0.78	+0.43	▲6
5	P.Butryn	🇵🇱 POLAND	112	-1.36	+1.70	+0.34	▼2
6	M.Sikora	🇵🇱 POLAND	112	-1.36	+1.70	+0.34	▼2
7	J.Balasovs	🇱🇻 LATVIA	144	+1.09	-0.87	+0.22	▲4
8	J.Bethers	🇱🇻 LATVIA	144	+1.09	-0.87	+0.22	▲4
9	D.Padon	🇮🇱 ISRAEL	80	-1.04	+1.03	-0.01	▼4
10	B.Tarnovski	🇮🇱 ISRAEL	80	-1.04	+1.03	-0.01	▼4
11	E.Argelazi	🇮🇱 ISRAEL	96	-1.27	+0.91	-0.36	▼4
12	A.Birman	🇮🇱 ISRAEL	96	-1.27	+0.91	-0.36	▼4
13	M.De Livera	🇦🇺 AUSTRALIA	80	+1.22	-2.19	-0.97	·
14	J.Mill	🇦🇺 AUSTRALIA	112	+0.96	-2.19	-1.23	·

Stages

Statistics