Salsomaggiore 2016 — 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.

#PlayerTeamBoards/boardTotal
1M.Bruijnsteen🇳🇱 NETHERLANDS168+1.15+194.0
2J.Wackwitz🇳🇱 NETHERLANDS168+1.15+194.0
3F.Mcgrath🇦🇺 AUSTRALIA84+1.07+90.0
4R.Cooper🇦🇺 AUSTRALIA196+0.70+137.0
5E.Pattison🇦🇺 AUSTRALIA182+0.38+69.0
6E.Ningtias🇮🇩 INDONESIA154+0.34+52.0
7F.Sibuea🇮🇩 INDONESIA154+0.34+52.0
8G.Eva🇮🇩 INDONESIA84+0.33+28.0
9F.Martanti🇮🇩 INDONESIA84+0.33+28.0
10N.Banas🇳🇱 NETHERLANDS168+0.30+51.0
11M.Ticha🇳🇱 NETHERLANDS168+0.30+51.0
12K.Ekren🇳🇴 NORWAY154+0.18+28.0
13T.Hauge🇳🇴 NORWAY154+0.18+28.0
14T.Indrebo🇳🇴 NORWAY154-0.36-56.0
15S.Sjodal🇳🇴 NORWAY154-0.36-56.0
16J.Brake🇦🇺 AUSTRALIA168-0.71-119.0
17K.Fuller🇦🇺 AUSTRALIA154-0.76-117.0
18Y.Fytry🇮🇩 INDONESIA98-0.87-85.0
19E.Sefita🇮🇩 INDONESIA98-0.87-85.0
20M.Dong🇸🇬 SINGAPORE56+1.77+99.0
21J.Lim🇸🇬 SINGAPORE56+1.77+99.0
22X.Ao🇨🇳 CHINA14+1.29+18.0
23W.Wang🇨🇳 CHINA42+1.21+51.0
24X.Yu🇨🇳 CHINA42+1.21+51.0
25A.Marriott🇺🇸 USA42+0.62+26.0
26Z.Baldysz🇵🇱 POLAND42+0.43+18.0
27A.Maduzia🇵🇱 POLAND42+0.43+18.0
28A.Hunt🇺🇸 USA42-0.02-1.0
29Z.Moszczynska🇵🇱 POLAND42-0.07-3.0
30D.Piesiewicz🇵🇱 POLAND42-0.07-3.0
31A.Guan🇨🇳 CHINA56-0.30-17.0
32A.Lin🇺🇸 USA42-0.60-25.0
33M.Van Ommen🇳🇱 NETHERLANDS28-1.00-28.0
34E.Visser🇳🇱 NETHERLANDS28-1.00-28.0
35R.Wernis🇺🇸 USA56-1.16-65.0
36I.Thapa🇺🇸 USA42-1.40-59.0
37M.Xia🇨🇳 CHINA56-1.57-88.0
38L.Li🇸🇬 SINGAPORE42-2.40-101.0
39J.Ong🇸🇬 SINGAPORE42-2.40-101.0
40G.Gan🇸🇬 SINGAPORE14-3.14-44.0
41H.Yeo🇸🇬 SINGAPORE14-3.14-44.0
42J.Brede🇵🇱 POLAND28-3.64-102.0
43M.Budzynska🇵🇱 POLAND28-3.64-102.0
44X.Deng🇨🇳 CHINA14-3.79-53.0

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.

#PlayerTeamLeadsOn targetConceded
1E.Sefita🇮🇩 INDONESIA2796.3%0.07
2S.Sjodal🇳🇴 NORWAY3585.7%0.14
3J.Brake🇦🇺 AUSTRALIA4283.3%0.17
4K.Ekren🇳🇴 NORWAY5483.3%0.20
5J.Wackwitz🇳🇱 NETHERLANDS3582.9%0.17
6F.Mcgrath🇦🇺 AUSTRALIA2382.6%0.17
7E.Pattison🇦🇺 AUSTRALIA4981.6%0.18
8F.Sibuea🇮🇩 INDONESIA3781.1%0.24
9K.Fuller🇦🇺 AUSTRALIA4180.5%0.22
10N.Banas🇳🇱 NETHERLANDS3580.0%0.23
11R.Cooper🇦🇺 AUSTRALIA4979.6%0.27
12G.Eva🇮🇩 INDONESIA2979.3%0.21
13M.Bruijnsteen🇳🇱 NETHERLANDS4879.2%0.21
14T.Hauge🇳🇴 NORWAY3577.1%0.23
15T.Indrebo🇳🇴 NORWAY4075.0%0.33
16E.Ningtias🇮🇩 INDONESIA3271.9%0.31
17M.Ticha🇳🇱 NETHERLANDS5271.2%0.33
18F.Martanti🇮🇩 INDONESIA2365.2%0.39
19Y.Fytry🇮🇩 INDONESIA1861.1%0.61
20M.Dong🇸🇬 SINGAPORE10100.0%0.00
21A.Marriott🇺🇸 USA7100.0%0.00
22J.Brede🇵🇱 POLAND1100.0%0.00
23M.Budzynska🇵🇱 POLAND4100.0%0.00
24X.Deng🇨🇳 CHINA4100.0%0.00
25X.Yu🇨🇳 CHINA1291.7%0.08
26A.Lin🇺🇸 USA1090.0%0.10
27M.Van Ommen🇳🇱 NETHERLANDS988.9%0.11
28A.Maduzia🇵🇱 POLAND988.9%0.11
29J.Lim🇸🇬 SINGAPORE1984.2%0.26
30W.Wang🇨🇳 CHINA683.3%0.17
31D.Piesiewicz🇵🇱 POLAND1283.3%0.17
32R.Wernis🇺🇸 USA1283.3%0.25
33A.Hunt🇺🇸 USA1681.2%0.31
34Z.Baldysz🇵🇱 POLAND977.8%0.44
35I.Thapa🇺🇸 USA475.0%0.25
36H.Yeo🇸🇬 SINGAPORE475.0%0.25
37G.Gan🇸🇬 SINGAPORE475.0%0.50
38E.Visser🇳🇱 NETHERLANDS366.7%0.33
39L.Li🇸🇬 SINGAPORE1266.7%0.33
40M.Xia🇨🇳 CHINA1464.3%0.79
41X.Ao🇨🇳 CHINA560.0%0.40
42A.Guan🇨🇳 CHINA1060.0%0.60
43Z.Moszczynska🇵🇱 POLAND1154.5%0.64
44J.Ong🇸🇬 SINGAPORE1040.0%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.

#PlayerTeamContractsOn targetConceded
1G.Eva🇮🇩 INDONESIA1291.7%0.17
2M.Ticha🇳🇱 NETHERLANDS3187.1%0.19
3M.Bruijnsteen🇳🇱 NETHERLANDS4983.7%0.16
4F.Sibuea🇮🇩 INDONESIA4580.0%0.44
5E.Ningtias🇮🇩 INDONESIA4077.5%0.33
6J.Brake🇦🇺 AUSTRALIA4676.1%0.39
7N.Banas🇳🇱 NETHERLANDS4975.5%0.27
8E.Pattison🇦🇺 AUSTRALIA4475.0%0.39
9T.Hauge🇳🇴 NORWAY4772.3%0.36
10E.Sefita🇮🇩 INDONESIA2867.9%0.46
11S.Sjodal🇳🇴 NORWAY4566.7%0.38
12T.Indrebo🇳🇴 NORWAY3464.7%0.50
13K.Ekren🇳🇴 NORWAY1764.7%0.53
14R.Cooper🇦🇺 AUSTRALIA5064.0%0.38
15J.Wackwitz🇳🇱 NETHERLANDS3562.9%0.49
16K.Fuller🇦🇺 AUSTRALIA3360.6%0.48
17Y.Fytry🇮🇩 INDONESIA2560.0%0.40
18F.Martanti🇮🇩 INDONESIA2060.0%0.55
19F.Mcgrath🇦🇺 AUSTRALIA1457.1%0.64
20X.Yu🇨🇳 CHINA10100.0%0.00
21A.Marriott🇺🇸 USA7100.0%0.00
22Z.Baldysz🇵🇱 POLAND14100.0%0.00
23G.Gan🇸🇬 SINGAPORE1100.0%0.00
24X.Deng🇨🇳 CHINA2100.0%0.00
25M.Xia🇨🇳 CHINA1392.3%0.08
26W.Wang🇨🇳 CHINA1485.7%0.14
27Z.Moszczynska🇵🇱 POLAND785.7%0.29
28J.Brede🇵🇱 POLAND1580.0%0.27
29J.Lim🇸🇬 SINGAPORE1376.9%0.39
30I.Thapa🇺🇸 USA1275.0%0.25
31A.Lin🇺🇸 USA1275.0%0.33
32A.Hunt🇺🇸 USA1471.4%0.36
33A.Maduzia🇵🇱 POLAND1070.0%0.40
34X.Ao🇨🇳 CHINA366.7%0.33
35A.Guan🇨🇳 CHINA1963.2%0.53
36M.Van Ommen🇳🇱 NETHERLANDS862.5%0.38
37E.Visser🇳🇱 NETHERLANDS862.5%0.50
38M.Budzynska🇵🇱 POLAND862.5%0.62
39H.Yeo🇸🇬 SINGAPORE560.0%0.40
40R.Wernis🇺🇸 USA1758.8%0.65
41J.Ong🇸🇬 SINGAPORE757.1%0.43
42D.Piesiewicz🇵🇱 POLAND1250.0%0.50
43L.Li🇸🇬 SINGAPORE1250.0%0.67
44M.Dong🇸🇬 SINGAPORE1442.9%0.57

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.

#PlayerTeamBoardsOn targetConceded
1N.Banas🇳🇱 NETHERLANDS8789.7%0.13
2M.Ticha🇳🇱 NETHERLANDS8789.7%0.13
3G.Eva🇮🇩 INDONESIA5286.5%0.15
4F.Martanti🇮🇩 INDONESIA5286.5%0.15
5M.Bruijnsteen🇳🇱 NETHERLANDS8385.5%0.20
6J.Wackwitz🇳🇱 NETHERLANDS8385.5%0.20
7T.Indrebo🇳🇴 NORWAY7585.3%0.15
8S.Sjodal🇳🇴 NORWAY7585.3%0.15
9K.Ekren🇳🇴 NORWAY8984.3%0.19
10T.Hauge🇳🇴 NORWAY8984.3%0.19
11E.Ningtias🇮🇩 INDONESIA6984.1%0.17
12F.Sibuea🇮🇩 INDONESIA6984.1%0.17
13R.Cooper🇦🇺 AUSTRALIA10283.3%0.18
14E.Pattison🇦🇺 AUSTRALIA8883.0%0.18
15F.Mcgrath🇦🇺 AUSTRALIA5278.8%0.25
16Y.Fytry🇮🇩 INDONESIA4577.8%0.22
17E.Sefita🇮🇩 INDONESIA4577.8%0.22
18K.Fuller🇦🇺 AUSTRALIA8077.5%0.26
19J.Brake🇦🇺 AUSTRALIA8675.6%0.26
20J.Brede🇵🇱 POLAND5100.0%0.00
21M.Budzynska🇵🇱 POLAND5100.0%0.00
22M.Van Ommen🇳🇱 NETHERLANDS1291.7%0.08
23E.Visser🇳🇱 NETHERLANDS1291.7%0.08
24L.Li🇸🇬 SINGAPORE2290.9%0.14
25J.Ong🇸🇬 SINGAPORE2290.9%0.14
26W.Wang🇨🇳 CHINA1888.9%0.17
27X.Yu🇨🇳 CHINA1888.9%0.17
28Z.Baldysz🇵🇱 POLAND1888.9%0.17
29A.Maduzia🇵🇱 POLAND1888.9%0.17
30A.Guan🇨🇳 CHINA2588.0%0.16
31I.Thapa🇺🇸 USA1586.7%0.20
32M.Dong🇸🇬 SINGAPORE2986.2%0.14
33J.Lim🇸🇬 SINGAPORE2986.2%0.14
34X.Ao🇨🇳 CHINA785.7%0.14
35M.Xia🇨🇳 CHINA2684.6%0.19
36A.Lin🇺🇸 USA1883.3%0.22
37Z.Moszczynska🇵🇱 POLAND2382.6%0.17
38D.Piesiewicz🇵🇱 POLAND2382.6%0.17
39A.Hunt🇺🇸 USA2176.2%0.29
40X.Deng🇨🇳 CHINA875.0%0.25
41R.Wernis🇺🇸 USA2373.9%0.35
42A.Marriott🇺🇸 USA2171.4%0.33
43G.Gan🇸🇬 SINGAPORE850.0%0.75
44H.Yeo🇸🇬 SINGAPORE850.0%0.75

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.

#PlayerTeamBoardsOpp /bdRaw /bdAdj /bdΔ
1N.Banas🇳🇱 NETHERLANDS182+0.04+1.32+1.36·
2M.Ticha🇳🇱 NETHERLANDS182+0.04+1.32+1.36·
3E.Pattison🇦🇺 AUSTRALIA182+0.29+0.22+0.51▲5
4E.Ningtias🇮🇩 INDONESIA182-0.11+0.56+0.45▲1
5F.Sibuea🇮🇩 INDONESIA182-0.11+0.56+0.45▲1
6R.Cooper🇦🇺 AUSTRALIA196+0.14+0.30+0.44▲1
7F.Mcgrath🇦🇺 AUSTRALIA84+0.20+0.10+0.30▲2
8M.Bruijnsteen🇳🇱 NETHERLANDS182-0.50+0.75+0.25▼5
9J.Wackwitz🇳🇱 NETHERLANDS182-0.50+0.75+0.25▼5
10T.Indrebo🇳🇴 NORWAY196+0.14+0.10+0.23·
11S.Sjodal🇳🇴 NORWAY196+0.14+0.10+0.23·
12J.Brake🇦🇺 AUSTRALIA168+0.15-0.22-0.07·
13K.Fuller🇦🇺 AUSTRALIA154+0.12-0.54-0.42▲4
14G.Eva🇮🇩 INDONESIA84+0.01-0.45-0.44▼1
15F.Martanti🇮🇩 INDONESIA84+0.01-0.45-0.44▼1
16K.Ekren🇳🇴 NORWAY196+0.16-0.75-0.60▲2
17T.Hauge🇳🇴 NORWAY196+0.16-0.75-0.60▲2
18Y.Fytry🇮🇩 INDONESIA126-0.45-0.47-0.92▼3
19E.Sefita🇮🇩 INDONESIA126-0.45-0.47-0.92▼3