SaoPaulo 2009 — 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
1L.Deas🇺🇸 USA 1160+0.99+159.0
2B.Palmer🇺🇸 USA 1160+0.99+159.0
3B.Cronier🇫🇷 FRANCE144+0.79+114.0
4S.Willard🇫🇷 FRANCE144+0.79+114.0
5Y.Liu🇨🇳 CHINA LONG ZHU WOMEN223+0.67+150.0
6W.Wang🇨🇳 CHINA LONG ZHU WOMEN223+0.67+150.0
7M.Sun🇨🇳 CHINA LONG ZHU WOMEN224+0.03+6.0
8H.Wang🇨🇳 CHINA LONG ZHU WOMEN224+0.03+6.0
9R.Mancuso🇺🇸 USA 2112-0.06-7.0
10P.Sutherlin🇺🇸 USA 2112-0.06-7.0
11I.Levitina🇺🇸 USA 1159-0.13-21.0
12K.Sanborn🇺🇸 USA 1159-0.13-21.0
13C.Goldberg🇺🇸 USA 2144-0.50-72.0
14J.Sprung🇺🇸 USA 2144-0.50-72.0
15C.D'Ovidio🇫🇷 FRANCE144-0.53-76.0
16D.Gaviard🇫🇷 FRANCE144-0.53-76.0
17C.Ferlazzo🇮🇹 ITALY48+2.10+101.0
18G.Manara🇮🇹 ITALY48+2.10+101.0
19C.Cafranga🇪🇸 SPAIN47+1.43+67.0
20M.Hernandez🇪🇸 SPAIN47+1.43+67.0
21A.Della Monta🇩🇪 GERMANY80+0.76+61.0
22B.Hackett🇩🇪 GERMANY80+0.76+61.0
23S.Quinn🇺🇸 USA 296+0.12+12.0
24P.Wittes🇺🇸 USA 296+0.12+12.0
25M.Almirall🇪🇸 SPAIN48+0.04+2.0
26N.Almirall🇪🇸 SPAIN48+0.04+2.0
27K.Bertheau🇸🇪 SWEDEN64-0.11-7.0
28C.Midskog🇸🇪 SWEDEN64-0.11-7.0
29S.Rimstedt🇸🇪 SWEDEN48-0.33-16.0
30E.Sjoberg🇸🇪 SWEDEN48-0.33-16.0
31V.Bessis🇫🇷 FRANCE96-0.49-47.0
32E.Hugon🇫🇷 FRANCE96-0.49-47.0
33G.Arrigoni🇮🇹 ITALY64-0.66-42.0
34G.Olivieri🇮🇹 ITALY64-0.66-42.0
35P.Andersson🇸🇪 SWEDEN48-0.73-35.0
36C.Rimstedt🇸🇪 SWEDEN48-0.73-35.0
37Y.Dong🇨🇳 CHINA LONG ZHU WOMEN32-0.91-29.0
38R.Yan🇨🇳 CHINA LONG ZHU WOMEN32-0.91-29.0
39S.Auken🇩🇪 GERMANY80-0.93-74.0
40D.Von Arnim🇩🇪 GERMANY80-0.93-74.0
41L.Baker🇺🇸 USA 195-1.01-96.0
42K.Mccallum🇺🇸 USA 195-1.01-96.0
43S.Paoluzi🇮🇹 ITALY48-1.52-73.0
44I.Saccavini🇮🇹 ITALY48-1.52-73.0
45M.Babot🇪🇸 SPAIN32-2.41-77.0
46M.Panadero🇪🇸 SPAIN32-2.41-77.0

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
1I.Levitina🇺🇸 USA 12090.0%0.10
2R.Mancuso🇺🇸 USA 21788.2%0.12
3M.Sun🇨🇳 CHINA LONG ZHU WOMEN4288.1%0.12
4K.Sanborn🇺🇸 USA 12785.2%0.15
5B.Cronier🇫🇷 FRANCE2785.2%0.15
6L.Deas🇺🇸 USA 13284.4%0.19
7H.Wang🇨🇳 CHINA LONG ZHU WOMEN3183.9%0.16
8Y.Liu🇨🇳 CHINA LONG ZHU WOMEN5082.0%0.22
9S.Willard🇫🇷 FRANCE2281.8%0.27
10D.Gaviard🇫🇷 FRANCE2680.8%0.19
11P.Sutherlin🇺🇸 USA 22080.0%0.20
12W.Wang🇨🇳 CHINA LONG ZHU WOMEN4075.0%0.28
13C.D'Ovidio🇫🇷 FRANCE2272.7%0.32
14C.Goldberg🇺🇸 USA 22070.0%0.40
15J.Sprung🇺🇸 USA 22268.2%0.36
16B.Palmer🇺🇸 USA 12166.7%0.33
17C.Ferlazzo🇮🇹 ITALY10100.0%0.00
18B.Hackett🇩🇪 GERMANY15100.0%0.00
19C.Cafranga🇪🇸 SPAIN9100.0%0.00
20G.Arrigoni🇮🇹 ITALY12100.0%0.00
21S.Paoluzi🇮🇹 ITALY6100.0%0.00
22Y.Dong🇨🇳 CHINA LONG ZHU WOMEN4100.0%0.00
23A.Della Monta🇩🇪 GERMANY1894.4%0.06
24K.Bertheau🇸🇪 SWEDEN1693.8%0.06
25S.Quinn🇺🇸 USA 21492.9%0.07
26P.Wittes🇺🇸 USA 22391.3%0.09
27V.Bessis🇫🇷 FRANCE2290.9%0.09
28S.Rimstedt🇸🇪 SWEDEN1090.0%0.10
29M.Almirall🇪🇸 SPAIN988.9%0.11
30M.Panadero🇪🇸 SPAIN887.5%0.12
31P.Andersson🇸🇪 SWEDEN683.3%0.17
32E.Sjoberg🇸🇪 SWEDEN1181.8%0.18
33G.Olivieri🇮🇹 ITALY977.8%0.22
34E.Hugon🇫🇷 FRANCE1376.9%0.23
35D.Von Arnim🇩🇪 GERMANY1376.9%0.23
36L.Baker🇺🇸 USA 11776.5%0.23
37N.Almirall🇪🇸 SPAIN1172.7%0.36
38M.Hernandez🇪🇸 SPAIN771.4%0.29
39C.Midskog🇸🇪 SWEDEN966.7%0.33
40I.Saccavini🇮🇹 ITALY666.7%0.33
41R.Yan🇨🇳 CHINA LONG ZHU WOMEN666.7%0.33
42G.Manara🇮🇹 ITALY966.7%0.44
43K.Mccallum🇺🇸 USA 11163.6%0.36
44C.Rimstedt🇸🇪 SWEDEN560.0%0.40
45S.Auken🇩🇪 GERMANY1154.5%0.55
46M.Babot🇪🇸 SPAIN333.3%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.

#PlayerTeamContractsOn targetConceded
1D.Gaviard🇫🇷 FRANCE2680.8%0.35
2K.Sanborn🇺🇸 USA 13177.4%0.26
3W.Wang🇨🇳 CHINA LONG ZHU WOMEN2676.9%0.27
4L.Deas🇺🇸 USA 12676.9%0.27
5J.Sprung🇺🇸 USA 22676.9%0.31
6C.D'Ovidio🇫🇷 FRANCE3375.8%0.27
7B.Cronier🇫🇷 FRANCE2075.0%0.25
8I.Levitina🇺🇸 USA 12875.0%0.29
9M.Sun🇨🇳 CHINA LONG ZHU WOMEN4273.8%0.38
10H.Wang🇨🇳 CHINA LONG ZHU WOMEN4372.1%0.28
11Y.Liu🇨🇳 CHINA LONG ZHU WOMEN3571.4%0.31
12R.Mancuso🇺🇸 USA 21369.2%0.39
13C.Goldberg🇺🇸 USA 23265.6%0.41
14B.Palmer🇺🇸 USA 12864.3%0.46
15S.Willard🇫🇷 FRANCE2564.0%0.40
16P.Sutherlin🇺🇸 USA 21656.2%0.44
17S.Auken🇩🇪 GERMANY11100.0%0.00
18P.Andersson🇸🇪 SWEDEN1190.9%0.18
19C.Cafranga🇪🇸 SPAIN887.5%0.12
20S.Rimstedt🇸🇪 SWEDEN683.3%0.33
21B.Hackett🇩🇪 GERMANY1181.8%0.18
22Y.Dong🇨🇳 CHINA LONG ZHU WOMEN580.0%0.20
23E.Hugon🇫🇷 FRANCE1376.9%0.31
24V.Bessis🇫🇷 FRANCE1776.5%0.29
25C.Ferlazzo🇮🇹 ITALY875.0%0.25
26G.Manara🇮🇹 ITALY875.0%0.25
27S.Quinn🇺🇸 USA 21275.0%0.25
28K.Mccallum🇺🇸 USA 12075.0%0.30
29M.Babot🇪🇸 SPAIN875.0%0.50
30R.Yan🇨🇳 CHINA LONG ZHU WOMEN771.4%0.29
31C.Rimstedt🇸🇪 SWEDEN1070.0%0.30
32A.Della Monta🇩🇪 GERMANY1070.0%0.50
33G.Arrigoni🇮🇹 ITALY1668.8%0.31
34M.Hernandez🇪🇸 SPAIN666.7%0.33
35I.Saccavini🇮🇹 ITALY1163.6%0.46
36E.Sjoberg🇸🇪 SWEDEN862.5%0.50
37C.Midskog🇸🇪 SWEDEN1060.0%0.60
38D.Von Arnim🇩🇪 GERMANY1560.0%0.67
39P.Wittes🇺🇸 USA 21855.6%0.61
40N.Almirall🇪🇸 SPAIN1154.5%0.64
41M.Almirall🇪🇸 SPAIN250.0%0.50
42S.Paoluzi🇮🇹 ITALY850.0%0.62
43K.Bertheau🇸🇪 SWEDEN850.0%0.75
44M.Panadero🇪🇸 SPAIN650.0%0.83
45L.Baker🇺🇸 USA 12147.6%0.57
46G.Olivieri🇮🇹 ITALY714.3%1.00

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
1B.Cronier🇫🇷 FRANCE4995.9%0.04
2S.Willard🇫🇷 FRANCE4995.9%0.04
3I.Levitina🇺🇸 USA 14793.6%0.09
4K.Sanborn🇺🇸 USA 14793.6%0.09
5L.Deas🇺🇸 USA 15388.7%0.11
6B.Palmer🇺🇸 USA 15388.7%0.11
7Y.Liu🇨🇳 CHINA LONG ZHU WOMEN9087.8%0.12
8W.Wang🇨🇳 CHINA LONG ZHU WOMEN9087.8%0.12
9M.Sun🇨🇳 CHINA LONG ZHU WOMEN7387.7%0.14
10H.Wang🇨🇳 CHINA LONG ZHU WOMEN7387.7%0.14
11C.D'Ovidio🇫🇷 FRANCE4887.5%0.12
12D.Gaviard🇫🇷 FRANCE4887.5%0.12
13R.Mancuso🇺🇸 USA 23786.5%0.16
14P.Sutherlin🇺🇸 USA 23786.5%0.16
15C.Goldberg🇺🇸 USA 24283.3%0.17
16J.Sprung🇺🇸 USA 24283.3%0.17
17P.Andersson🇸🇪 SWEDEN11100.0%0.00
18C.Rimstedt🇸🇪 SWEDEN11100.0%0.00
19S.Auken🇩🇪 GERMANY24100.0%0.00
20D.Von Arnim🇩🇪 GERMANY24100.0%0.00
21M.Almirall🇪🇸 SPAIN2095.0%0.05
22N.Almirall🇪🇸 SPAIN2095.0%0.05
23M.Babot🇪🇸 SPAIN1190.9%0.09
24M.Panadero🇪🇸 SPAIN1190.9%0.09
25C.Ferlazzo🇮🇹 ITALY1989.5%0.10
26G.Manara🇮🇹 ITALY1989.5%0.10
27V.Bessis🇫🇷 FRANCE3585.7%0.17
28E.Hugon🇫🇷 FRANCE3585.7%0.17
29A.Della Monta🇩🇪 GERMANY3384.8%0.21
30B.Hackett🇩🇪 GERMANY3384.8%0.21
31S.Paoluzi🇮🇹 ITALY1283.3%0.17
32I.Saccavini🇮🇹 ITALY1283.3%0.17
33L.Baker🇺🇸 USA 12882.1%0.21
34K.Mccallum🇺🇸 USA 12882.1%0.21
35C.Cafranga🇪🇸 SPAIN1681.2%0.19
36M.Hernandez🇪🇸 SPAIN1681.2%0.19
37S.Quinn🇺🇸 USA 23781.1%0.19
38P.Wittes🇺🇸 USA 23781.1%0.19
39S.Rimstedt🇸🇪 SWEDEN2181.0%0.19
40E.Sjoberg🇸🇪 SWEDEN2181.0%0.19
41G.Arrigoni🇮🇹 ITALY2181.0%0.24
42G.Olivieri🇮🇹 ITALY2181.0%0.24
43K.Bertheau🇸🇪 SWEDEN2580.0%0.20
44C.Midskog🇸🇪 SWEDEN2580.0%0.20
45Y.Dong🇨🇳 CHINA LONG ZHU WOMEN1080.0%0.20
46R.Yan🇨🇳 CHINA LONG ZHU WOMEN1080.0%0.20

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
1M.Sun🇨🇳 CHINA LONG ZHU WOMEN224-0.20+0.96+0.76·
2H.Wang🇨🇳 CHINA LONG ZHU WOMEN224-0.20+0.96+0.76·
3Y.Liu🇨🇳 CHINA LONG ZHU WOMEN224-0.08+0.42+0.34·
4W.Wang🇨🇳 CHINA LONG ZHU WOMEN224-0.08+0.42+0.34·
5I.Levitina🇺🇸 USA 1192+0.16+0.16+0.31▲4
6K.Sanborn🇺🇸 USA 1192+0.16+0.16+0.31▲4
7L.Deas🇺🇸 USA 1192-0.04+0.16+0.12·
8B.Palmer🇺🇸 USA 1192-0.04+0.16+0.12·
9R.Mancuso🇺🇸 USA 2128-0.32+0.39+0.08▼4
10P.Sutherlin🇺🇸 USA 2128-0.32+0.39+0.08▼4
11B.Cronier🇫🇷 FRANCE144+0.20-0.12+0.07▲2
12S.Willard🇫🇷 FRANCE144+0.20-0.12+0.07▲2
13C.D'Ovidio🇫🇷 FRANCE144+0.09-0.05+0.04▼2
14D.Gaviard🇫🇷 FRANCE144+0.09-0.05+0.04▼2
15C.Goldberg🇺🇸 USA 2160+0.17-0.62-0.45·
16J.Sprung🇺🇸 USA 2160+0.17-0.62-0.45·