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.
| # | Player | Team | Boards | /board | Total |
|---|---|---|---|---|---|
| 1 | L.Deas | 🇺🇸 USA 1 | 160 | +0.99 | +159.0 |
| 2 | B.Palmer | 🇺🇸 USA 1 | 160 | +0.99 | +159.0 |
| 3 | B.Cronier | 🇫🇷 FRANCE | 144 | +0.79 | +114.0 |
| 4 | S.Willard | 🇫🇷 FRANCE | 144 | +0.79 | +114.0 |
| 5 | Y.Liu | 🇨🇳 CHINA LONG ZHU WOMEN | 223 | +0.67 | +150.0 |
| 6 | W.Wang | 🇨🇳 CHINA LONG ZHU WOMEN | 223 | +0.67 | +150.0 |
| 7 | M.Sun | 🇨🇳 CHINA LONG ZHU WOMEN | 224 | +0.03 | +6.0 |
| 8 | H.Wang | 🇨🇳 CHINA LONG ZHU WOMEN | 224 | +0.03 | +6.0 |
| 9 | R.Mancuso | 🇺🇸 USA 2 | 112 | -0.06 | -7.0 |
| 10 | P.Sutherlin | 🇺🇸 USA 2 | 112 | -0.06 | -7.0 |
| 11 | I.Levitina | 🇺🇸 USA 1 | 159 | -0.13 | -21.0 |
| 12 | K.Sanborn | 🇺🇸 USA 1 | 159 | -0.13 | -21.0 |
| 13 | C.Goldberg | 🇺🇸 USA 2 | 144 | -0.50 | -72.0 |
| 14 | J.Sprung | 🇺🇸 USA 2 | 144 | -0.50 | -72.0 |
| 15 | C.D'Ovidio | 🇫🇷 FRANCE | 144 | -0.53 | -76.0 |
| 16 | D.Gaviard | 🇫🇷 FRANCE | 144 | -0.53 | -76.0 |
| 17 | C.Ferlazzo | 🇮🇹 ITALY | 48 | +2.10 | +101.0 |
| 18 | G.Manara | 🇮🇹 ITALY | 48 | +2.10 | +101.0 |
| 19 | C.Cafranga | 🇪🇸 SPAIN | 47 | +1.43 | +67.0 |
| 20 | M.Hernandez | 🇪🇸 SPAIN | 47 | +1.43 | +67.0 |
| 21 | A.Della Monta | 🇩🇪 GERMANY | 80 | +0.76 | +61.0 |
| 22 | B.Hackett | 🇩🇪 GERMANY | 80 | +0.76 | +61.0 |
| 23 | S.Quinn | 🇺🇸 USA 2 | 96 | +0.12 | +12.0 |
| 24 | P.Wittes | 🇺🇸 USA 2 | 96 | +0.12 | +12.0 |
| 25 | M.Almirall | 🇪🇸 SPAIN | 48 | +0.04 | +2.0 |
| 26 | N.Almirall | 🇪🇸 SPAIN | 48 | +0.04 | +2.0 |
| 27 | K.Bertheau | 🇸🇪 SWEDEN | 64 | -0.11 | -7.0 |
| 28 | C.Midskog | 🇸🇪 SWEDEN | 64 | -0.11 | -7.0 |
| 29 | S.Rimstedt | 🇸🇪 SWEDEN | 48 | -0.33 | -16.0 |
| 30 | E.Sjoberg | 🇸🇪 SWEDEN | 48 | -0.33 | -16.0 |
| 31 | V.Bessis | 🇫🇷 FRANCE | 96 | -0.49 | -47.0 |
| 32 | E.Hugon | 🇫🇷 FRANCE | 96 | -0.49 | -47.0 |
| 33 | G.Arrigoni | 🇮🇹 ITALY | 64 | -0.66 | -42.0 |
| 34 | G.Olivieri | 🇮🇹 ITALY | 64 | -0.66 | -42.0 |
| 35 | P.Andersson | 🇸🇪 SWEDEN | 48 | -0.73 | -35.0 |
| 36 | C.Rimstedt | 🇸🇪 SWEDEN | 48 | -0.73 | -35.0 |
| 37 | Y.Dong | 🇨🇳 CHINA LONG ZHU WOMEN | 32 | -0.91 | -29.0 |
| 38 | R.Yan | 🇨🇳 CHINA LONG ZHU WOMEN | 32 | -0.91 | -29.0 |
| 39 | S.Auken | 🇩🇪 GERMANY | 80 | -0.93 | -74.0 |
| 40 | D.Von Arnim | 🇩🇪 GERMANY | 80 | -0.93 | -74.0 |
| 41 | L.Baker | 🇺🇸 USA 1 | 95 | -1.01 | -96.0 |
| 42 | K.Mccallum | 🇺🇸 USA 1 | 95 | -1.01 | -96.0 |
| 43 | S.Paoluzi | 🇮🇹 ITALY | 48 | -1.52 | -73.0 |
| 44 | I.Saccavini | 🇮🇹 ITALY | 48 | -1.52 | -73.0 |
| 45 | M.Babot | 🇪🇸 SPAIN | 32 | -2.41 | -77.0 |
| 46 | M.Panadero | 🇪🇸 SPAIN | 32 | -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.
| # | Player | Team | Leads | On target | Conceded |
|---|---|---|---|---|---|
| 1 | I.Levitina | 🇺🇸 USA 1 | 20 | 90.0% | 0.10 |
| 2 | R.Mancuso | 🇺🇸 USA 2 | 17 | 88.2% | 0.12 |
| 3 | M.Sun | 🇨🇳 CHINA LONG ZHU WOMEN | 42 | 88.1% | 0.12 |
| 4 | K.Sanborn | 🇺🇸 USA 1 | 27 | 85.2% | 0.15 |
| 5 | B.Cronier | 🇫🇷 FRANCE | 27 | 85.2% | 0.15 |
| 6 | L.Deas | 🇺🇸 USA 1 | 32 | 84.4% | 0.19 |
| 7 | H.Wang | 🇨🇳 CHINA LONG ZHU WOMEN | 31 | 83.9% | 0.16 |
| 8 | Y.Liu | 🇨🇳 CHINA LONG ZHU WOMEN | 50 | 82.0% | 0.22 |
| 9 | S.Willard | 🇫🇷 FRANCE | 22 | 81.8% | 0.27 |
| 10 | D.Gaviard | 🇫🇷 FRANCE | 26 | 80.8% | 0.19 |
| 11 | P.Sutherlin | 🇺🇸 USA 2 | 20 | 80.0% | 0.20 |
| 12 | W.Wang | 🇨🇳 CHINA LONG ZHU WOMEN | 40 | 75.0% | 0.28 |
| 13 | C.D'Ovidio | 🇫🇷 FRANCE | 22 | 72.7% | 0.32 |
| 14 | C.Goldberg | 🇺🇸 USA 2 | 20 | 70.0% | 0.40 |
| 15 | J.Sprung | 🇺🇸 USA 2 | 22 | 68.2% | 0.36 |
| 16 | B.Palmer | 🇺🇸 USA 1 | 21 | 66.7% | 0.33 |
| 17 | C.Ferlazzo | 🇮🇹 ITALY | 10 | 100.0% | 0.00 |
| 18 | B.Hackett | 🇩🇪 GERMANY | 15 | 100.0% | 0.00 |
| 19 | C.Cafranga | 🇪🇸 SPAIN | 9 | 100.0% | 0.00 |
| 20 | G.Arrigoni | 🇮🇹 ITALY | 12 | 100.0% | 0.00 |
| 21 | S.Paoluzi | 🇮🇹 ITALY | 6 | 100.0% | 0.00 |
| 22 | Y.Dong | 🇨🇳 CHINA LONG ZHU WOMEN | 4 | 100.0% | 0.00 |
| 23 | A.Della Monta | 🇩🇪 GERMANY | 18 | 94.4% | 0.06 |
| 24 | K.Bertheau | 🇸🇪 SWEDEN | 16 | 93.8% | 0.06 |
| 25 | S.Quinn | 🇺🇸 USA 2 | 14 | 92.9% | 0.07 |
| 26 | P.Wittes | 🇺🇸 USA 2 | 23 | 91.3% | 0.09 |
| 27 | V.Bessis | 🇫🇷 FRANCE | 22 | 90.9% | 0.09 |
| 28 | S.Rimstedt | 🇸🇪 SWEDEN | 10 | 90.0% | 0.10 |
| 29 | M.Almirall | 🇪🇸 SPAIN | 9 | 88.9% | 0.11 |
| 30 | M.Panadero | 🇪🇸 SPAIN | 8 | 87.5% | 0.12 |
| 31 | P.Andersson | 🇸🇪 SWEDEN | 6 | 83.3% | 0.17 |
| 32 | E.Sjoberg | 🇸🇪 SWEDEN | 11 | 81.8% | 0.18 |
| 33 | G.Olivieri | 🇮🇹 ITALY | 9 | 77.8% | 0.22 |
| 34 | E.Hugon | 🇫🇷 FRANCE | 13 | 76.9% | 0.23 |
| 35 | D.Von Arnim | 🇩🇪 GERMANY | 13 | 76.9% | 0.23 |
| 36 | L.Baker | 🇺🇸 USA 1 | 17 | 76.5% | 0.23 |
| 37 | N.Almirall | 🇪🇸 SPAIN | 11 | 72.7% | 0.36 |
| 38 | M.Hernandez | 🇪🇸 SPAIN | 7 | 71.4% | 0.29 |
| 39 | C.Midskog | 🇸🇪 SWEDEN | 9 | 66.7% | 0.33 |
| 40 | I.Saccavini | 🇮🇹 ITALY | 6 | 66.7% | 0.33 |
| 41 | R.Yan | 🇨🇳 CHINA LONG ZHU WOMEN | 6 | 66.7% | 0.33 |
| 42 | G.Manara | 🇮🇹 ITALY | 9 | 66.7% | 0.44 |
| 43 | K.Mccallum | 🇺🇸 USA 1 | 11 | 63.6% | 0.36 |
| 44 | C.Rimstedt | 🇸🇪 SWEDEN | 5 | 60.0% | 0.40 |
| 45 | S.Auken | 🇩🇪 GERMANY | 11 | 54.5% | 0.55 |
| 46 | M.Babot | 🇪🇸 SPAIN | 3 | 33.3% | 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.
| # | Player | Team | Contracts | On target | Conceded |
|---|---|---|---|---|---|
| 1 | D.Gaviard | 🇫🇷 FRANCE | 26 | 80.8% | 0.35 |
| 2 | K.Sanborn | 🇺🇸 USA 1 | 31 | 77.4% | 0.26 |
| 3 | W.Wang | 🇨🇳 CHINA LONG ZHU WOMEN | 26 | 76.9% | 0.27 |
| 4 | L.Deas | 🇺🇸 USA 1 | 26 | 76.9% | 0.27 |
| 5 | J.Sprung | 🇺🇸 USA 2 | 26 | 76.9% | 0.31 |
| 6 | C.D'Ovidio | 🇫🇷 FRANCE | 33 | 75.8% | 0.27 |
| 7 | B.Cronier | 🇫🇷 FRANCE | 20 | 75.0% | 0.25 |
| 8 | I.Levitina | 🇺🇸 USA 1 | 28 | 75.0% | 0.29 |
| 9 | M.Sun | 🇨🇳 CHINA LONG ZHU WOMEN | 42 | 73.8% | 0.38 |
| 10 | H.Wang | 🇨🇳 CHINA LONG ZHU WOMEN | 43 | 72.1% | 0.28 |
| 11 | Y.Liu | 🇨🇳 CHINA LONG ZHU WOMEN | 35 | 71.4% | 0.31 |
| 12 | R.Mancuso | 🇺🇸 USA 2 | 13 | 69.2% | 0.39 |
| 13 | C.Goldberg | 🇺🇸 USA 2 | 32 | 65.6% | 0.41 |
| 14 | B.Palmer | 🇺🇸 USA 1 | 28 | 64.3% | 0.46 |
| 15 | S.Willard | 🇫🇷 FRANCE | 25 | 64.0% | 0.40 |
| 16 | P.Sutherlin | 🇺🇸 USA 2 | 16 | 56.2% | 0.44 |
| 17 | S.Auken | 🇩🇪 GERMANY | 11 | 100.0% | 0.00 |
| 18 | P.Andersson | 🇸🇪 SWEDEN | 11 | 90.9% | 0.18 |
| 19 | C.Cafranga | 🇪🇸 SPAIN | 8 | 87.5% | 0.12 |
| 20 | S.Rimstedt | 🇸🇪 SWEDEN | 6 | 83.3% | 0.33 |
| 21 | B.Hackett | 🇩🇪 GERMANY | 11 | 81.8% | 0.18 |
| 22 | Y.Dong | 🇨🇳 CHINA LONG ZHU WOMEN | 5 | 80.0% | 0.20 |
| 23 | E.Hugon | 🇫🇷 FRANCE | 13 | 76.9% | 0.31 |
| 24 | V.Bessis | 🇫🇷 FRANCE | 17 | 76.5% | 0.29 |
| 25 | C.Ferlazzo | 🇮🇹 ITALY | 8 | 75.0% | 0.25 |
| 26 | G.Manara | 🇮🇹 ITALY | 8 | 75.0% | 0.25 |
| 27 | S.Quinn | 🇺🇸 USA 2 | 12 | 75.0% | 0.25 |
| 28 | K.Mccallum | 🇺🇸 USA 1 | 20 | 75.0% | 0.30 |
| 29 | M.Babot | 🇪🇸 SPAIN | 8 | 75.0% | 0.50 |
| 30 | R.Yan | 🇨🇳 CHINA LONG ZHU WOMEN | 7 | 71.4% | 0.29 |
| 31 | C.Rimstedt | 🇸🇪 SWEDEN | 10 | 70.0% | 0.30 |
| 32 | A.Della Monta | 🇩🇪 GERMANY | 10 | 70.0% | 0.50 |
| 33 | G.Arrigoni | 🇮🇹 ITALY | 16 | 68.8% | 0.31 |
| 34 | M.Hernandez | 🇪🇸 SPAIN | 6 | 66.7% | 0.33 |
| 35 | I.Saccavini | 🇮🇹 ITALY | 11 | 63.6% | 0.46 |
| 36 | E.Sjoberg | 🇸🇪 SWEDEN | 8 | 62.5% | 0.50 |
| 37 | C.Midskog | 🇸🇪 SWEDEN | 10 | 60.0% | 0.60 |
| 38 | D.Von Arnim | 🇩🇪 GERMANY | 15 | 60.0% | 0.67 |
| 39 | P.Wittes | 🇺🇸 USA 2 | 18 | 55.6% | 0.61 |
| 40 | N.Almirall | 🇪🇸 SPAIN | 11 | 54.5% | 0.64 |
| 41 | M.Almirall | 🇪🇸 SPAIN | 2 | 50.0% | 0.50 |
| 42 | S.Paoluzi | 🇮🇹 ITALY | 8 | 50.0% | 0.62 |
| 43 | K.Bertheau | 🇸🇪 SWEDEN | 8 | 50.0% | 0.75 |
| 44 | M.Panadero | 🇪🇸 SPAIN | 6 | 50.0% | 0.83 |
| 45 | L.Baker | 🇺🇸 USA 1 | 21 | 47.6% | 0.57 |
| 46 | G.Olivieri | 🇮🇹 ITALY | 7 | 14.3% | 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.
| # | Player | Team | Boards | On target | Conceded |
|---|---|---|---|---|---|
| 1 | B.Cronier | 🇫🇷 FRANCE | 49 | 95.9% | 0.04 |
| 2 | S.Willard | 🇫🇷 FRANCE | 49 | 95.9% | 0.04 |
| 3 | I.Levitina | 🇺🇸 USA 1 | 47 | 93.6% | 0.09 |
| 4 | K.Sanborn | 🇺🇸 USA 1 | 47 | 93.6% | 0.09 |
| 5 | L.Deas | 🇺🇸 USA 1 | 53 | 88.7% | 0.11 |
| 6 | B.Palmer | 🇺🇸 USA 1 | 53 | 88.7% | 0.11 |
| 7 | Y.Liu | 🇨🇳 CHINA LONG ZHU WOMEN | 90 | 87.8% | 0.12 |
| 8 | W.Wang | 🇨🇳 CHINA LONG ZHU WOMEN | 90 | 87.8% | 0.12 |
| 9 | M.Sun | 🇨🇳 CHINA LONG ZHU WOMEN | 73 | 87.7% | 0.14 |
| 10 | H.Wang | 🇨🇳 CHINA LONG ZHU WOMEN | 73 | 87.7% | 0.14 |
| 11 | C.D'Ovidio | 🇫🇷 FRANCE | 48 | 87.5% | 0.12 |
| 12 | D.Gaviard | 🇫🇷 FRANCE | 48 | 87.5% | 0.12 |
| 13 | R.Mancuso | 🇺🇸 USA 2 | 37 | 86.5% | 0.16 |
| 14 | P.Sutherlin | 🇺🇸 USA 2 | 37 | 86.5% | 0.16 |
| 15 | C.Goldberg | 🇺🇸 USA 2 | 42 | 83.3% | 0.17 |
| 16 | J.Sprung | 🇺🇸 USA 2 | 42 | 83.3% | 0.17 |
| 17 | P.Andersson | 🇸🇪 SWEDEN | 11 | 100.0% | 0.00 |
| 18 | C.Rimstedt | 🇸🇪 SWEDEN | 11 | 100.0% | 0.00 |
| 19 | S.Auken | 🇩🇪 GERMANY | 24 | 100.0% | 0.00 |
| 20 | D.Von Arnim | 🇩🇪 GERMANY | 24 | 100.0% | 0.00 |
| 21 | M.Almirall | 🇪🇸 SPAIN | 20 | 95.0% | 0.05 |
| 22 | N.Almirall | 🇪🇸 SPAIN | 20 | 95.0% | 0.05 |
| 23 | M.Babot | 🇪🇸 SPAIN | 11 | 90.9% | 0.09 |
| 24 | M.Panadero | 🇪🇸 SPAIN | 11 | 90.9% | 0.09 |
| 25 | C.Ferlazzo | 🇮🇹 ITALY | 19 | 89.5% | 0.10 |
| 26 | G.Manara | 🇮🇹 ITALY | 19 | 89.5% | 0.10 |
| 27 | V.Bessis | 🇫🇷 FRANCE | 35 | 85.7% | 0.17 |
| 28 | E.Hugon | 🇫🇷 FRANCE | 35 | 85.7% | 0.17 |
| 29 | A.Della Monta | 🇩🇪 GERMANY | 33 | 84.8% | 0.21 |
| 30 | B.Hackett | 🇩🇪 GERMANY | 33 | 84.8% | 0.21 |
| 31 | S.Paoluzi | 🇮🇹 ITALY | 12 | 83.3% | 0.17 |
| 32 | I.Saccavini | 🇮🇹 ITALY | 12 | 83.3% | 0.17 |
| 33 | L.Baker | 🇺🇸 USA 1 | 28 | 82.1% | 0.21 |
| 34 | K.Mccallum | 🇺🇸 USA 1 | 28 | 82.1% | 0.21 |
| 35 | C.Cafranga | 🇪🇸 SPAIN | 16 | 81.2% | 0.19 |
| 36 | M.Hernandez | 🇪🇸 SPAIN | 16 | 81.2% | 0.19 |
| 37 | S.Quinn | 🇺🇸 USA 2 | 37 | 81.1% | 0.19 |
| 38 | P.Wittes | 🇺🇸 USA 2 | 37 | 81.1% | 0.19 |
| 39 | S.Rimstedt | 🇸🇪 SWEDEN | 21 | 81.0% | 0.19 |
| 40 | E.Sjoberg | 🇸🇪 SWEDEN | 21 | 81.0% | 0.19 |
| 41 | G.Arrigoni | 🇮🇹 ITALY | 21 | 81.0% | 0.24 |
| 42 | G.Olivieri | 🇮🇹 ITALY | 21 | 81.0% | 0.24 |
| 43 | K.Bertheau | 🇸🇪 SWEDEN | 25 | 80.0% | 0.20 |
| 44 | C.Midskog | 🇸🇪 SWEDEN | 25 | 80.0% | 0.20 |
| 45 | Y.Dong | 🇨🇳 CHINA LONG ZHU WOMEN | 10 | 80.0% | 0.20 |
| 46 | R.Yan | 🇨🇳 CHINA LONG ZHU WOMEN | 10 | 80.0% | 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.
| # | Player | Team | Boards | Opp /bd | Raw /bd | Adj /bd | Δ |
|---|---|---|---|---|---|---|---|
| 1 | M.Sun | 🇨🇳 CHINA LONG ZHU WOMEN | 224 | -0.20 | +0.96 | +0.76 | · |
| 2 | H.Wang | 🇨🇳 CHINA LONG ZHU WOMEN | 224 | -0.20 | +0.96 | +0.76 | · |
| 3 | Y.Liu | 🇨🇳 CHINA LONG ZHU WOMEN | 224 | -0.08 | +0.42 | +0.34 | · |
| 4 | W.Wang | 🇨🇳 CHINA LONG ZHU WOMEN | 224 | -0.08 | +0.42 | +0.34 | · |
| 5 | I.Levitina | 🇺🇸 USA 1 | 192 | +0.16 | +0.16 | +0.31 | ▲4 |
| 6 | K.Sanborn | 🇺🇸 USA 1 | 192 | +0.16 | +0.16 | +0.31 | ▲4 |
| 7 | L.Deas | 🇺🇸 USA 1 | 192 | -0.04 | +0.16 | +0.12 | · |
| 8 | B.Palmer | 🇺🇸 USA 1 | 192 | -0.04 | +0.16 | +0.12 | · |
| 9 | R.Mancuso | 🇺🇸 USA 2 | 128 | -0.32 | +0.39 | +0.08 | ▼4 |
| 10 | P.Sutherlin | 🇺🇸 USA 2 | 128 | -0.32 | +0.39 | +0.08 | ▼4 |
| 11 | B.Cronier | 🇫🇷 FRANCE | 144 | +0.20 | -0.12 | +0.07 | ▲2 |
| 12 | S.Willard | 🇫🇷 FRANCE | 144 | +0.20 | -0.12 | +0.07 | ▲2 |
| 13 | C.D'Ovidio | 🇫🇷 FRANCE | 144 | +0.09 | -0.05 | +0.04 | ▼2 |
| 14 | D.Gaviard | 🇫🇷 FRANCE | 144 | +0.09 | -0.05 | +0.04 | ▼2 |
| 15 | C.Goldberg | 🇺🇸 USA 2 | 160 | +0.17 | -0.62 | -0.45 | · |
| 16 | J.Sprung | 🇺🇸 USA 2 | 160 | +0.17 | -0.62 | -0.45 | · |