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	K.Ng	🇸🇬 SINGAPORE	96	+0.79	+76.0
2	L.Tan	🇸🇬 SINGAPORE	96	+0.79	+76.0
3	S.Di Bello	🇮🇹 ITALY	160	+0.33	+53.0
4	F.Lo Presti	🇮🇹 ITALY	160	+0.33	+53.0
5	J.Grue	🇺🇸 USA 1	144	-0.26	-37.0
6	J.Kranyak	🇺🇸 USA 1	144	-0.26	-37.0
7	K.Araszkiewicz	🇵🇱 POLAND	112	-0.37	-41.0
8	K.Buras	🇵🇱 POLAND	112	-0.37	-41.0
9	J.Kalita	🇵🇱 POLAND	112	-0.46	-51.0
10	K.Kotorowicz	🇵🇱 POLAND	112	-0.46	-51.0
11	A.Greenberg Jr	🇺🇸 USA 1	96	-0.60	-58.0
12	J.Lall	🇺🇸 USA 1	96	-0.60	-58.0
13	C.Loo	🇸🇬 SINGAPORE	96	-0.70	-67.0
14	H.Poon	🇸🇬 SINGAPORE	96	-0.70	-67.0
15	J.Donn	🇺🇸 USA 1	80	+1.66	+133.0
16	J.Feldman	🇺🇸 USA 1	80	+1.66	+133.0
17	A.Loh	🇸🇬 SINGAPORE	64	+0.86	+55.0
18	F.Tan	🇸🇬 SINGAPORE	64	+0.86	+55.0
19	F.Ferrari	🇮🇹 ITALY	80	-0.25	-20.0
20	A.Sangiorgio	🇮🇹 ITALY	80	-0.25	-20.0
21	A.Boldrini	🇮🇹 ITALY	80	-0.26	-21.0
22	M.Sbarigia	🇮🇹 ITALY	80	-0.26	-21.0
23	P.Nawrocki	🇵🇱 POLAND	32	-0.69	-22.0
24	J.Sikora	🇵🇱 POLAND	32	-0.69	-22.0

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	F.Lo Presti	🇮🇹 ITALY	44	93.2%	0.07
2	A.Greenberg Jr	🇺🇸 USA 1	20	90.0%	0.10
3	K.Ng	🇸🇬 SINGAPORE	27	88.9%	0.11
4	J.Kalita	🇵🇱 POLAND	27	88.9%	0.11
5	C.Loo	🇸🇬 SINGAPORE	36	86.1%	0.14
6	J.Kranyak	🇺🇸 USA 1	24	83.3%	0.21
7	J.Grue	🇺🇸 USA 1	45	82.2%	0.29
8	L.Tan	🇸🇬 SINGAPORE	22	81.8%	0.18
9	S.Di Bello	🇮🇹 ITALY	36	75.0%	0.28
10	J.Lall	🇺🇸 USA 1	24	75.0%	0.29
11	K.Buras	🇵🇱 POLAND	36	72.2%	0.31
12	K.Araszkiewicz	🇵🇱 POLAND	14	71.4%	0.36
13	K.Kotorowicz	🇵🇱 POLAND	27	70.4%	0.37
14	H.Poon	🇸🇬 SINGAPORE	18	66.7%	0.33
15	J.Donn	🇺🇸 USA 1	13	92.3%	0.15
16	M.Sbarigia	🇮🇹 ITALY	17	88.2%	0.12
17	A.Boldrini	🇮🇹 ITALY	23	87.0%	0.13
18	A.Loh	🇸🇬 SINGAPORE	21	85.7%	0.19
19	F.Ferrari	🇮🇹 ITALY	32	84.4%	0.22
20	J.Feldman	🇺🇸 USA 1	25	76.0%	0.28
21	P.Nawrocki	🇵🇱 POLAND	7	71.4%	0.43
22	F.Tan	🇸🇬 SINGAPORE	16	68.8%	0.44
23	A.Sangiorgio	🇮🇹 ITALY	14	64.3%	0.36
24	J.Sikora	🇵🇱 POLAND	7	57.1%	0.57

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	H.Poon	🇸🇬 SINGAPORE	9	88.9%	0.22
2	F.Lo Presti	🇮🇹 ITALY	44	86.4%	0.14
3	S.Di Bello	🇮🇹 ITALY	36	86.1%	0.14
4	J.Kalita	🇵🇱 POLAND	30	80.0%	0.20
5	K.Kotorowicz	🇵🇱 POLAND	28	78.6%	0.21
6	K.Araszkiewicz	🇵🇱 POLAND	38	76.3%	0.26
7	C.Loo	🇸🇬 SINGAPORE	33	75.8%	0.30
8	L.Tan	🇸🇬 SINGAPORE	16	75.0%	0.31
9	J.Lall	🇺🇸 USA 1	28	71.4%	0.32
10	K.Buras	🇵🇱 POLAND	24	70.8%	0.38
11	J.Grue	🇺🇸 USA 1	44	70.5%	0.36
12	J.Kranyak	🇺🇸 USA 1	30	70.0%	0.37
13	K.Ng	🇸🇬 SINGAPORE	31	67.7%	0.39
14	A.Greenberg Jr	🇺🇸 USA 1	24	66.7%	0.38
15	J.Feldman	🇺🇸 USA 1	18	88.9%	0.17
16	P.Nawrocki	🇵🇱 POLAND	7	85.7%	0.14
17	A.Loh	🇸🇬 SINGAPORE	13	84.6%	0.15
18	J.Donn	🇺🇸 USA 1	24	79.2%	0.25
19	M.Sbarigia	🇮🇹 ITALY	24	70.8%	0.33
20	F.Tan	🇸🇬 SINGAPORE	13	69.2%	0.31
21	F.Ferrari	🇮🇹 ITALY	16	56.2%	0.50
22	A.Sangiorgio	🇮🇹 ITALY	18	50.0%	0.50
23	A.Boldrini	🇮🇹 ITALY	16	50.0%	0.81
24	J.Sikora	🇵🇱 POLAND	11	45.5%	0.82

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.Araszkiewicz	🇵🇱 POLAND	50	90.0%	0.10
2	K.Buras	🇵🇱 POLAND	50	90.0%	0.10
3	J.Grue	🇺🇸 USA 1	69	89.9%	0.12
4	J.Kranyak	🇺🇸 USA 1	69	89.9%	0.12
5	C.Loo	🇸🇬 SINGAPORE	54	87.0%	0.15
6	H.Poon	🇸🇬 SINGAPORE	54	87.0%	0.15
7	A.Greenberg Jr	🇺🇸 USA 1	44	86.4%	0.32
8	J.Lall	🇺🇸 USA 1	44	86.4%	0.32
9	K.Ng	🇸🇬 SINGAPORE	49	81.6%	0.18
10	L.Tan	🇸🇬 SINGAPORE	49	81.6%	0.18
11	J.Kalita	🇵🇱 POLAND	54	79.6%	0.22
12	K.Kotorowicz	🇵🇱 POLAND	54	79.6%	0.22
13	S.Di Bello	🇮🇹 ITALY	80	76.2%	0.35
14	F.Lo Presti	🇮🇹 ITALY	80	76.2%	0.35
15	P.Nawrocki	🇵🇱 POLAND	14	100.0%	0.00
16	J.Sikora	🇵🇱 POLAND	14	100.0%	0.00
17	A.Boldrini	🇮🇹 ITALY	40	90.0%	0.10
18	M.Sbarigia	🇮🇹 ITALY	40	90.0%	0.10
19	A.Loh	🇸🇬 SINGAPORE	37	83.8%	0.19
20	F.Tan	🇸🇬 SINGAPORE	37	83.8%	0.19
21	J.Donn	🇺🇸 USA 1	38	81.6%	0.18
22	J.Feldman	🇺🇸 USA 1	38	81.6%	0.18
23	F.Ferrari	🇮🇹 ITALY	46	80.4%	0.22
24	A.Sangiorgio	🇮🇹 ITALY	46	80.4%	0.22

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	K.Ng	🇸🇬 SINGAPORE	96	-0.18	+1.25	+1.07	·
2	L.Tan	🇸🇬 SINGAPORE	96	-0.18	+1.25	+1.07	·
3	J.Grue	🇺🇸 USA 1	144	+0.25	+0.24	+0.49	▲2
4	J.Kranyak	🇺🇸 USA 1	144	+0.25	+0.24	+0.49	▲2
5	C.Loo	🇸🇬 SINGAPORE	96	-0.54	+0.63	+0.09	▼2
6	H.Poon	🇸🇬 SINGAPORE	96	-0.54	+0.63	+0.09	▼2
7	S.Di Bello	🇮🇹 ITALY	160	-0.22	-0.04	-0.26	·
8	F.Lo Presti	🇮🇹 ITALY	160	-0.22	-0.04	-0.26	·
9	J.Kalita	🇵🇱 POLAND	112	+0.33	-0.64	-0.32	·
10	K.Kotorowicz	🇵🇱 POLAND	112	+0.33	-0.64	-0.32	·
11	K.Araszkiewicz	🇵🇱 POLAND	112	+0.53	-1.10	-0.57	▲2
12	K.Buras	🇵🇱 POLAND	112	+0.53	-1.10	-0.57	▲2
13	A.Greenberg Jr	🇺🇸 USA 1	96	+0.17	-0.84	-0.67	▼2
14	J.Lall	🇺🇸 USA 1	96	+0.17	-0.84	-0.67	▼2

Stages

Statistics