Taicang 2012 — 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 | J.Duursma | 🇳🇱 NETHERLANDS | 272 | +1.31 | +355.0 |
| 2 | J.Westerbeek | 🇳🇱 NETHERLANDS | 272 | +1.31 | +355.0 |
| 3 | M.Canonne | 🇫🇷 FRANCE | 192 | +1.29 | +247.0 |
| 4 | A.Lorenzini | 🇫🇷 FRANCE | 192 | +1.29 | +247.0 |
| 5 | K.Dufrat | 🇵🇱 POLAND | 208 | +1.25 | +260.0 |
| 6 | J.Zmuda | 🇵🇱 POLAND | 208 | +1.25 | +260.0 |
| 7 | D.Kazmucha | 🇵🇱 POLAND | 192 | +1.07 | +206.0 |
| 8 | N.Sakowska | 🇵🇱 POLAND | 192 | +1.07 | +206.0 |
| 9 | W.Wang | 🇨🇳 CHINA | 192 | +0.89 | +171.0 |
| 10 | X.Zhang | 🇨🇳 CHINA | 192 | +0.89 | +171.0 |
| 11 | M.Ticha | 🇳🇱 NETHERLANDS | 272 | +0.89 | +242.0 |
| 12 | S.Wackwitz-Spangenberg | 🇳🇱 NETHERLANDS | 272 | +0.89 | +242.0 |
| 13 | C.Chaugny | 🇫🇷 FRANCE | 208 | +0.68 | +141.0 |
| 14 | C.Puillet | 🇫🇷 FRANCE | 208 | +0.68 | +141.0 |
| 15 | L.Ortega | 🇺🇸 USA | 240 | +0.62 | +148.0 |
| 16 | S.Shi | 🇺🇸 USA | 240 | +0.62 | +148.0 |
| 17 | G.Botta | 🇮🇹 ITALY | 208 | +0.39 | +82.0 |
| 18 | C.Tsao | 🇹🇼 CHINESE TAIPEI | 192 | +0.32 | +62.0 |
| 19 | J.Wang | 🇹🇼 CHINESE TAIPEI | 192 | +0.32 | +62.0 |
| 20 | M.Petersen | 🇸🇪 SWEDEN | 288 | +0.14 | +41.0 |
| 21 | C.Wahlestedt | 🇸🇪 SWEDEN | 288 | +0.14 | +41.0 |
| 22 | N.Ainia | 🇮🇩 INDONESIA | 256 | +0.13 | +34.0 |
| 23 | R.Prajutha | 🇮🇩 INDONESIA | 256 | +0.13 | +34.0 |
| 24 | M.Costa | 🇮🇹 ITALY | 192 | +0.09 | +17.0 |
| 25 | F.Butto | 🇮🇹 ITALY | 128 | +0.08 | +10.0 |
| 26 | X.Chen | 🇨🇳 CHINA | 208 | +0.08 | +16.0 |
| 27 | B.Zhao | 🇨🇳 CHINA | 208 | +0.08 | +16.0 |
| 28 | L.Ginnan | OCEANIA | 208 | +0.04 | +8.0 |
| 29 | L.Henbest | OCEANIA | 208 | +0.04 | +8.0 |
| 30 | M.Chavarria | 🇮🇹 ITALY | 272 | +0.04 | +10.0 |
| 31 | Y.Liu | 🇨🇳 CHINA | 176 | -0.15 | -26.0 |
| 32 | X.Shan | 🇨🇳 CHINA | 176 | -0.15 | -26.0 |
| 33 | F.Lanzuisi | 🇮🇹 ITALY | 240 | -0.17 | -40.0 |
| 34 | J.Carbonneaux | 🇫🇷 FRANCE | 176 | -0.18 | -32.0 |
| 35 | L.Favard | 🇫🇷 FRANCE | 176 | -0.18 | -32.0 |
| 36 | M.Holeksa | 🇵🇱 POLAND | 176 | -0.41 | -72.0 |
| 37 | K.Wesolowska | 🇵🇱 POLAND | 176 | -0.41 | -72.0 |
| 38 | C.Tao | 🇹🇼 CHINESE TAIPEI | 192 | -0.48 | -92.0 |
| 39 | C.Ting | 🇹🇼 CHINESE TAIPEI | 192 | -0.48 | -92.0 |
| 40 | Y.Grasella | 🇮🇩 INDONESIA | 176 | -0.79 | -139.0 |
| 41 | V.Rosa | 🇮🇩 INDONESIA | 176 | -0.79 | -139.0 |
| 42 | C.Chang | 🇹🇼 CHINESE TAIPEI | 192 | -0.84 | -162.0 |
| 43 | S.Miao | 🇹🇼 CHINESE TAIPEI | 192 | -0.84 | -162.0 |
| 44 | P.Gardiner | OCEANIA | 192 | -0.97 | -186.0 |
| 45 | E.Pattison | OCEANIA | 192 | -0.97 | -186.0 |
| 46 | J.Black | OCEANIA | 176 | -1.02 | -180.0 |
| 47 | A.Boughey | OCEANIA | 176 | -1.02 | -180.0 |
| 48 | N.Azkanov | 🇮🇩 INDONESIA | 144 | -1.10 | -159.0 |
| 49 | R.Pinnata | 🇮🇩 INDONESIA | 144 | -1.10 | -159.0 |
| 50 | I.Petersen | 🇸🇪 SWEDEN | 288 | -1.12 | -324.0 |
| 51 | E.Rodin | 🇸🇪 SWEDEN | 288 | -1.12 | -324.0 |
| 52 | M.Linz | 🇺🇸 USA | 224 | -1.67 | -375.0 |
| 53 | R.Wernis | 🇺🇸 USA | 224 | -1.67 | -375.0 |
| 54 | M.Salvato | 🇮🇹 ITALY | 112 | +0.22 | +25.0 |
| 55 | T.Compton | 🇺🇸 USA | 112 | -1.45 | -162.0 |
| 56 | I.Thapa | 🇺🇸 USA | 112 | -1.45 | -162.0 |
| 57 | N.Banas | 🇳🇱 NETHERLANDS | 32 | -2.31 | -74.0 |
| 58 | J.Wackwitz | 🇳🇱 NETHERLANDS | 32 | -2.31 | -74.0 |
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 | N.Ainia | 🇮🇩 INDONESIA | 73 | 89.0% | 0.14 |
| 2 | C.Puillet | 🇫🇷 FRANCE | 37 | 86.5% | 0.14 |
| 3 | Y.Liu | 🇨🇳 CHINA | 40 | 85.0% | 0.15 |
| 4 | F.Butto | 🇮🇹 ITALY | 40 | 85.0% | 0.23 |
| 5 | B.Zhao | 🇨🇳 CHINA | 51 | 84.3% | 0.18 |
| 6 | P.Gardiner | OCEANIA | 42 | 83.3% | 0.17 |
| 7 | M.Canonne | 🇫🇷 FRANCE | 48 | 83.3% | 0.23 |
| 8 | C.Ting | 🇹🇼 CHINESE TAIPEI | 47 | 83.0% | 0.19 |
| 9 | S.Shi | 🇺🇸 USA | 41 | 82.9% | 0.24 |
| 10 | J.Zmuda | 🇵🇱 POLAND | 63 | 82.5% | 0.21 |
| 11 | L.Ginnan | OCEANIA | 51 | 82.4% | 0.20 |
| 12 | W.Wang | 🇨🇳 CHINA | 45 | 82.2% | 0.22 |
| 13 | N.Sakowska | 🇵🇱 POLAND | 39 | 82.1% | 0.20 |
| 14 | J.Carbonneaux | 🇫🇷 FRANCE | 43 | 81.4% | 0.23 |
| 15 | J.Wang | 🇹🇼 CHINESE TAIPEI | 58 | 81.0% | 0.26 |
| 16 | J.Duursma | 🇳🇱 NETHERLANDS | 73 | 80.8% | 0.26 |
| 17 | X.Zhang | 🇨🇳 CHINA | 56 | 80.4% | 0.27 |
| 18 | C.Wahlestedt | 🇸🇪 SWEDEN | 85 | 80.0% | 0.21 |
| 19 | R.Wernis | 🇺🇸 USA | 50 | 80.0% | 0.22 |
| 20 | F.Lanzuisi | 🇮🇹 ITALY | 40 | 80.0% | 0.25 |
| 21 | S.Miao | 🇹🇼 CHINESE TAIPEI | 50 | 80.0% | 0.28 |
| 22 | A.Boughey | OCEANIA | 35 | 80.0% | 0.31 |
| 23 | G.Botta | 🇮🇹 ITALY | 58 | 79.3% | 0.26 |
| 24 | K.Wesolowska | 🇵🇱 POLAND | 52 | 78.8% | 0.25 |
| 25 | C.Tsao | 🇹🇼 CHINESE TAIPEI | 52 | 78.8% | 0.29 |
| 26 | E.Pattison | OCEANIA | 51 | 78.4% | 0.23 |
| 27 | C.Chaugny | 🇫🇷 FRANCE | 55 | 78.2% | 0.22 |
| 28 | I.Petersen | 🇸🇪 SWEDEN | 64 | 78.1% | 0.23 |
| 29 | A.Lorenzini | 🇫🇷 FRANCE | 50 | 78.0% | 0.22 |
| 30 | S.Wackwitz-Spangenberg | 🇳🇱 NETHERLANDS | 63 | 77.8% | 0.24 |
| 31 | C.Tao | 🇹🇼 CHINESE TAIPEI | 44 | 77.3% | 0.25 |
| 32 | E.Rodin | 🇸🇪 SWEDEN | 66 | 77.3% | 0.26 |
| 33 | K.Dufrat | 🇵🇱 POLAND | 43 | 76.7% | 0.23 |
| 34 | J.Westerbeek | 🇳🇱 NETHERLANDS | 60 | 76.7% | 0.32 |
| 35 | C.Chang | 🇹🇼 CHINESE TAIPEI | 42 | 76.2% | 0.29 |
| 36 | M.Chavarria | 🇮🇹 ITALY | 71 | 76.1% | 0.28 |
| 37 | L.Ortega | 🇺🇸 USA | 77 | 75.3% | 0.27 |
| 38 | M.Holeksa | 🇵🇱 POLAND | 40 | 75.0% | 0.28 |
| 39 | N.Azkanov | 🇮🇩 INDONESIA | 36 | 75.0% | 0.31 |
| 40 | R.Prajutha | 🇮🇩 INDONESIA | 58 | 74.1% | 0.40 |
| 41 | J.Black | OCEANIA | 50 | 74.0% | 0.30 |
| 42 | V.Rosa | 🇮🇩 INDONESIA | 42 | 73.8% | 0.26 |
| 43 | L.Favard | 🇫🇷 FRANCE | 34 | 73.5% | 0.29 |
| 44 | L.Henbest | OCEANIA | 48 | 72.9% | 0.27 |
| 45 | M.Petersen | 🇸🇪 SWEDEN | 87 | 72.4% | 0.32 |
| 46 | R.Pinnata | 🇮🇩 INDONESIA | 36 | 72.2% | 0.31 |
| 47 | M.Costa | 🇮🇹 ITALY | 59 | 71.2% | 0.32 |
| 48 | D.Kazmucha | 🇵🇱 POLAND | 40 | 70.0% | 0.30 |
| 49 | Y.Grasella | 🇮🇩 INDONESIA | 46 | 69.6% | 0.39 |
| 50 | X.Chen | 🇨🇳 CHINA | 54 | 68.5% | 0.32 |
| 51 | X.Shan | 🇨🇳 CHINA | 38 | 68.4% | 0.32 |
| 52 | M.Linz | 🇺🇸 USA | 57 | 66.7% | 0.37 |
| 53 | M.Ticha | 🇳🇱 NETHERLANDS | 70 | 65.7% | 0.41 |
| 54 | N.Banas | 🇳🇱 NETHERLANDS | 9 | 88.9% | 0.11 |
| 55 | J.Wackwitz | 🇳🇱 NETHERLANDS | 6 | 83.3% | 0.33 |
| 56 | I.Thapa | 🇺🇸 USA | 34 | 82.4% | 0.18 |
| 57 | M.Salvato | 🇮🇹 ITALY | 29 | 75.9% | 0.24 |
| 58 | T.Compton | 🇺🇸 USA | 32 | 75.0% | 0.34 |
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 | J.Westerbeek | 🇳🇱 NETHERLANDS | 60 | 88.3% | 0.12 |
| 2 | N.Sakowska | 🇵🇱 POLAND | 50 | 86.0% | 0.18 |
| 3 | X.Shan | 🇨🇳 CHINA | 55 | 83.6% | 0.27 |
| 4 | D.Kazmucha | 🇵🇱 POLAND | 54 | 83.3% | 0.20 |
| 5 | S.Wackwitz-Spangenberg | 🇳🇱 NETHERLANDS | 58 | 82.8% | 0.24 |
| 6 | S.Shi | 🇺🇸 USA | 62 | 82.3% | 0.23 |
| 7 | J.Carbonneaux | 🇫🇷 FRANCE | 50 | 82.0% | 0.26 |
| 8 | M.Chavarria | 🇮🇹 ITALY | 85 | 81.2% | 0.25 |
| 9 | X.Chen | 🇨🇳 CHINA | 57 | 80.7% | 0.26 |
| 10 | M.Ticha | 🇳🇱 NETHERLANDS | 76 | 80.3% | 0.20 |
| 11 | K.Wesolowska | 🇵🇱 POLAND | 44 | 79.5% | 0.23 |
| 12 | N.Ainia | 🇮🇩 INDONESIA | 61 | 78.7% | 0.26 |
| 13 | X.Zhang | 🇨🇳 CHINA | 42 | 78.6% | 0.31 |
| 14 | M.Costa | 🇮🇹 ITALY | 42 | 78.6% | 0.31 |
| 15 | R.Prajutha | 🇮🇩 INDONESIA | 64 | 78.1% | 0.34 |
| 16 | M.Canonne | 🇫🇷 FRANCE | 45 | 77.8% | 0.24 |
| 17 | L.Henbest | OCEANIA | 53 | 77.4% | 0.24 |
| 18 | G.Botta | 🇮🇹 ITALY | 44 | 77.3% | 0.32 |
| 19 | M.Holeksa | 🇵🇱 POLAND | 35 | 77.1% | 0.29 |
| 20 | Y.Liu | 🇨🇳 CHINA | 43 | 76.7% | 0.26 |
| 21 | C.Puillet | 🇫🇷 FRANCE | 51 | 76.5% | 0.29 |
| 22 | J.Wang | 🇹🇼 CHINESE TAIPEI | 36 | 75.0% | 0.28 |
| 23 | J.Duursma | 🇳🇱 NETHERLANDS | 71 | 74.6% | 0.37 |
| 24 | F.Lanzuisi | 🇮🇹 ITALY | 55 | 74.5% | 0.38 |
| 25 | A.Lorenzini | 🇫🇷 FRANCE | 49 | 73.5% | 0.33 |
| 26 | L.Favard | 🇫🇷 FRANCE | 48 | 72.9% | 0.38 |
| 27 | Y.Grasella | 🇮🇩 INDONESIA | 48 | 72.9% | 0.46 |
| 28 | I.Petersen | 🇸🇪 SWEDEN | 83 | 72.3% | 0.39 |
| 29 | C.Chaugny | 🇫🇷 FRANCE | 64 | 71.9% | 0.36 |
| 30 | J.Zmuda | 🇵🇱 POLAND | 53 | 71.7% | 0.32 |
| 31 | W.Wang | 🇨🇳 CHINA | 49 | 71.4% | 0.39 |
| 32 | C.Tsao | 🇹🇼 CHINESE TAIPEI | 45 | 71.1% | 0.51 |
| 33 | K.Dufrat | 🇵🇱 POLAND | 48 | 70.8% | 0.35 |
| 34 | A.Boughey | OCEANIA | 44 | 70.5% | 0.39 |
| 35 | P.Gardiner | OCEANIA | 54 | 70.4% | 0.44 |
| 36 | C.Tao | 🇹🇼 CHINESE TAIPEI | 50 | 70.0% | 0.34 |
| 37 | M.Petersen | 🇸🇪 SWEDEN | 62 | 69.4% | 0.34 |
| 38 | E.Rodin | 🇸🇪 SWEDEN | 75 | 69.3% | 0.44 |
| 39 | C.Chang | 🇹🇼 CHINESE TAIPEI | 44 | 68.2% | 0.43 |
| 40 | L.Ortega | 🇺🇸 USA | 59 | 67.8% | 0.37 |
| 41 | L.Ginnan | OCEANIA | 55 | 67.3% | 0.34 |
| 42 | F.Butto | 🇮🇹 ITALY | 24 | 66.7% | 0.42 |
| 43 | C.Ting | 🇹🇼 CHINESE TAIPEI | 50 | 66.0% | 0.44 |
| 44 | C.Wahlestedt | 🇸🇪 SWEDEN | 54 | 64.8% | 0.50 |
| 45 | R.Wernis | 🇺🇸 USA | 48 | 64.6% | 0.48 |
| 46 | B.Zhao | 🇨🇳 CHINA | 45 | 64.4% | 0.42 |
| 47 | V.Rosa | 🇮🇩 INDONESIA | 40 | 62.5% | 0.50 |
| 48 | S.Miao | 🇹🇼 CHINESE TAIPEI | 56 | 60.7% | 0.59 |
| 49 | N.Azkanov | 🇮🇩 INDONESIA | 33 | 60.6% | 0.58 |
| 50 | M.Linz | 🇺🇸 USA | 69 | 58.0% | 0.70 |
| 51 | R.Pinnata | 🇮🇩 INDONESIA | 38 | 55.3% | 0.58 |
| 52 | E.Pattison | OCEANIA | 45 | 53.3% | 0.62 |
| 53 | J.Black | OCEANIA | 47 | 44.7% | 0.81 |
| 54 | J.Wackwitz | 🇳🇱 NETHERLANDS | 9 | 88.9% | 0.11 |
| 55 | M.Salvato | 🇮🇹 ITALY | 26 | 73.1% | 0.31 |
| 56 | I.Thapa | 🇺🇸 USA | 22 | 59.1% | 0.55 |
| 57 | T.Compton | 🇺🇸 USA | 23 | 56.5% | 0.61 |
| 58 | N.Banas | 🇳🇱 NETHERLANDS | 8 | 50.0% | 0.75 |
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 | M.Ticha | 🇳🇱 NETHERLANDS | 133 | 96.2% | 0.04 |
| 2 | S.Wackwitz-Spangenberg | 🇳🇱 NETHERLANDS | 133 | 96.2% | 0.04 |
| 3 | X.Chen | 🇨🇳 CHINA | 105 | 93.3% | 0.11 |
| 4 | B.Zhao | 🇨🇳 CHINA | 105 | 93.3% | 0.11 |
| 5 | D.Kazmucha | 🇵🇱 POLAND | 79 | 91.1% | 0.09 |
| 6 | N.Sakowska | 🇵🇱 POLAND | 79 | 91.1% | 0.09 |
| 7 | W.Wang | 🇨🇳 CHINA | 101 | 91.1% | 0.11 |
| 8 | X.Zhang | 🇨🇳 CHINA | 101 | 91.1% | 0.11 |
| 9 | C.Chang | 🇹🇼 CHINESE TAIPEI | 92 | 88.0% | 0.14 |
| 10 | S.Miao | 🇹🇼 CHINESE TAIPEI | 92 | 88.0% | 0.14 |
| 11 | K.Dufrat | 🇵🇱 POLAND | 106 | 87.7% | 0.14 |
| 12 | J.Zmuda | 🇵🇱 POLAND | 106 | 87.7% | 0.14 |
| 13 | L.Ortega | 🇺🇸 USA | 118 | 87.3% | 0.14 |
| 14 | S.Shi | 🇺🇸 USA | 118 | 87.3% | 0.14 |
| 15 | J.Duursma | 🇳🇱 NETHERLANDS | 133 | 87.2% | 0.17 |
| 16 | J.Westerbeek | 🇳🇱 NETHERLANDS | 133 | 87.2% | 0.17 |
| 17 | N.Azkanov | 🇮🇩 INDONESIA | 72 | 86.1% | 0.18 |
| 18 | R.Pinnata | 🇮🇩 INDONESIA | 72 | 86.1% | 0.18 |
| 19 | F.Butto | 🇮🇹 ITALY | 78 | 85.9% | 0.15 |
| 20 | C.Chaugny | 🇫🇷 FRANCE | 92 | 84.8% | 0.18 |
| 21 | C.Puillet | 🇫🇷 FRANCE | 92 | 84.8% | 0.18 |
| 22 | M.Costa | 🇮🇹 ITALY | 113 | 84.1% | 0.19 |
| 23 | L.Ginnan | OCEANIA | 99 | 83.8% | 0.18 |
| 24 | L.Henbest | OCEANIA | 99 | 83.8% | 0.18 |
| 25 | N.Ainia | 🇮🇩 INDONESIA | 131 | 83.2% | 0.21 |
| 26 | R.Prajutha | 🇮🇩 INDONESIA | 131 | 83.2% | 0.21 |
| 27 | J.Carbonneaux | 🇫🇷 FRANCE | 77 | 83.1% | 0.21 |
| 28 | L.Favard | 🇫🇷 FRANCE | 77 | 83.1% | 0.21 |
| 29 | G.Botta | 🇮🇹 ITALY | 116 | 82.8% | 0.26 |
| 30 | M.Canonne | 🇫🇷 FRANCE | 98 | 82.7% | 0.18 |
| 31 | A.Lorenzini | 🇫🇷 FRANCE | 98 | 82.7% | 0.18 |
| 32 | Y.Liu | 🇨🇳 CHINA | 78 | 82.1% | 0.20 |
| 33 | X.Shan | 🇨🇳 CHINA | 78 | 82.1% | 0.20 |
| 34 | M.Petersen | 🇸🇪 SWEDEN | 172 | 82.0% | 0.25 |
| 35 | C.Wahlestedt | 🇸🇪 SWEDEN | 172 | 82.0% | 0.25 |
| 36 | M.Chavarria | 🇮🇹 ITALY | 120 | 81.7% | 0.19 |
| 37 | F.Lanzuisi | 🇮🇹 ITALY | 103 | 81.6% | 0.19 |
| 38 | M.Holeksa | 🇵🇱 POLAND | 92 | 81.5% | 0.24 |
| 39 | K.Wesolowska | 🇵🇱 POLAND | 92 | 81.5% | 0.24 |
| 40 | Y.Grasella | 🇮🇩 INDONESIA | 88 | 80.7% | 0.22 |
| 41 | V.Rosa | 🇮🇩 INDONESIA | 88 | 80.7% | 0.22 |
| 42 | I.Petersen | 🇸🇪 SWEDEN | 130 | 80.0% | 0.24 |
| 43 | E.Rodin | 🇸🇪 SWEDEN | 130 | 80.0% | 0.24 |
| 44 | M.Linz | 🇺🇸 USA | 107 | 79.4% | 0.29 |
| 45 | R.Wernis | 🇺🇸 USA | 107 | 79.4% | 0.29 |
| 46 | C.Tao | 🇹🇼 CHINESE TAIPEI | 91 | 79.1% | 0.24 |
| 47 | C.Ting | 🇹🇼 CHINESE TAIPEI | 91 | 79.1% | 0.24 |
| 48 | C.Tsao | 🇹🇼 CHINESE TAIPEI | 110 | 78.2% | 0.28 |
| 49 | J.Wang | 🇹🇼 CHINESE TAIPEI | 110 | 78.2% | 0.28 |
| 50 | J.Black | OCEANIA | 85 | 77.6% | 0.26 |
| 51 | A.Boughey | OCEANIA | 85 | 77.6% | 0.26 |
| 52 | P.Gardiner | OCEANIA | 93 | 75.3% | 0.37 |
| 53 | E.Pattison | OCEANIA | 93 | 75.3% | 0.37 |
| 54 | M.Salvato | 🇮🇹 ITALY | 64 | 84.4% | 0.28 |
| 55 | T.Compton | 🇺🇸 USA | 66 | 71.2% | 0.44 |
| 56 | I.Thapa | 🇺🇸 USA | 66 | 71.2% | 0.44 |
| 57 | N.Banas | 🇳🇱 NETHERLANDS | 15 | 66.7% | 0.33 |
| 58 | J.Wackwitz | 🇳🇱 NETHERLANDS | 15 | 66.7% | 0.33 |
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 | D.Kazmucha | 🇵🇱 POLAND | 192 | +0.09 | +1.12 | +1.21 | ▲2 |
| 2 | N.Sakowska | 🇵🇱 POLAND | 192 | +0.09 | +1.12 | +1.21 | ▲2 |
| 3 | M.Ticha | 🇳🇱 NETHERLANDS | 272 | -0.09 | +1.28 | +1.18 | ▼2 |
| 4 | S.Wackwitz-Spangenberg | 🇳🇱 NETHERLANDS | 272 | -0.09 | +1.28 | +1.18 | ▼2 |
| 5 | K.Dufrat | 🇵🇱 POLAND | 208 | -0.07 | +0.95 | +0.88 | ▲2 |
| 6 | J.Zmuda | 🇵🇱 POLAND | 208 | -0.07 | +0.95 | +0.88 | ▲2 |
| 7 | M.Canonne | 🇫🇷 FRANCE | 192 | +0.16 | +0.70 | +0.86 | ▲2 |
| 8 | A.Lorenzini | 🇫🇷 FRANCE | 192 | +0.16 | +0.70 | +0.86 | ▲2 |
| 9 | J.Duursma | 🇳🇱 NETHERLANDS | 272 | -0.17 | +1.00 | +0.83 | ▼4 |
| 10 | J.Westerbeek | 🇳🇱 NETHERLANDS | 272 | -0.17 | +1.00 | +0.83 | ▼4 |
| 11 | X.Chen | 🇨🇳 CHINA | 208 | -0.02 | +0.69 | +0.67 | · |
| 12 | B.Zhao | 🇨🇳 CHINA | 208 | -0.02 | +0.69 | +0.67 | · |
| 13 | C.Chaugny | 🇫🇷 FRANCE | 208 | -0.09 | +0.66 | +0.56 | · |
| 14 | C.Puillet | 🇫🇷 FRANCE | 208 | -0.09 | +0.66 | +0.56 | · |
| 15 | J.Carbonneaux | 🇫🇷 FRANCE | 176 | -0.07 | +0.49 | +0.42 | · |
| 16 | L.Favard | 🇫🇷 FRANCE | 176 | -0.07 | +0.49 | +0.42 | · |
| 17 | M.Chavarria | 🇮🇹 ITALY | 272 | -0.12 | +0.47 | +0.36 | · |
| 18 | F.Lanzuisi | 🇮🇹 ITALY | 240 | -0.20 | +0.43 | +0.23 | · |
| 19 | G.Botta | 🇮🇹 ITALY | 208 | +0.32 | -0.09 | +0.22 | ▲12 |
| 20 | C.Tsao | 🇹🇼 CHINESE TAIPEI | 192 | +0.14 | -0.06 | +0.08 | ▲7 |
| 21 | J.Wang | 🇹🇼 CHINESE TAIPEI | 192 | +0.14 | -0.06 | +0.08 | ▲7 |
| 22 | M.Holeksa | 🇵🇱 POLAND | 176 | -0.34 | +0.40 | +0.06 | ▼3 |
| 23 | K.Wesolowska | 🇵🇱 POLAND | 176 | -0.34 | +0.40 | +0.06 | ▼3 |
| 24 | L.Ortega | 🇺🇸 USA | 240 | +0.01 | +0.03 | +0.04 | ▼1 |
| 25 | S.Shi | 🇺🇸 USA | 240 | +0.01 | +0.03 | +0.04 | ▼1 |
| 26 | M.Costa | 🇮🇹 ITALY | 192 | +0.05 | -0.04 | +0.01 | · |
| 27 | N.Ainia | 🇮🇩 INDONESIA | 256 | +0.05 | -0.10 | -0.05 | ▲5 |
| 28 | R.Prajutha | 🇮🇩 INDONESIA | 256 | +0.05 | -0.10 | -0.05 | ▲5 |
| 29 | W.Wang | 🇨🇳 CHINA | 192 | -0.13 | +0.03 | -0.10 | ▼8 |
| 30 | X.Zhang | 🇨🇳 CHINA | 192 | -0.13 | +0.03 | -0.10 | ▼8 |
| 31 | Y.Liu | 🇨🇳 CHINA | 176 | -0.09 | -0.06 | -0.15 | ▼2 |
| 32 | X.Shan | 🇨🇳 CHINA | 176 | -0.09 | -0.06 | -0.15 | ▼2 |
| 33 | F.Butto | 🇮🇹 ITALY | 128 | -0.17 | -0.02 | -0.19 | ▼8 |
| 34 | M.Petersen | 🇸🇪 SWEDEN | 288 | +0.10 | -0.38 | -0.28 | ▲2 |
| 35 | C.Wahlestedt | 🇸🇪 SWEDEN | 288 | +0.10 | -0.38 | -0.28 | ▲2 |
| 36 | Y.Grasella | 🇮🇩 INDONESIA | 176 | +0.17 | -0.50 | -0.33 | ▲6 |
| 37 | V.Rosa | 🇮🇩 INDONESIA | 176 | +0.17 | -0.50 | -0.33 | ▲6 |
| 38 | P.Gardiner | OCEANIA | 192 | -0.12 | -0.21 | -0.33 | ▼4 |
| 39 | E.Pattison | OCEANIA | 192 | -0.12 | -0.21 | -0.33 | ▼4 |
| 40 | C.Chang | 🇹🇼 CHINESE TAIPEI | 192 | +0.07 | -0.48 | -0.41 | ▼2 |
| 41 | S.Miao | 🇹🇼 CHINESE TAIPEI | 192 | +0.07 | -0.48 | -0.41 | ▼2 |
| 42 | L.Ginnan | OCEANIA | 208 | -0.06 | -0.48 | -0.54 | ▼2 |
| 43 | L.Henbest | OCEANIA | 208 | -0.06 | -0.48 | -0.54 | ▼2 |
| 44 | C.Tao | 🇹🇼 CHINESE TAIPEI | 192 | -0.04 | -0.52 | -0.56 | · |
| 45 | C.Ting | 🇹🇼 CHINESE TAIPEI | 192 | -0.04 | -0.52 | -0.56 | · |
| 46 | I.Petersen | 🇸🇪 SWEDEN | 288 | +0.00 | -0.71 | -0.71 | · |
| 47 | E.Rodin | 🇸🇪 SWEDEN | 288 | +0.00 | -0.71 | -0.71 | · |
| 48 | N.Azkanov | 🇮🇩 INDONESIA | 144 | +0.12 | -1.18 | -1.05 | · |
| 49 | R.Pinnata | 🇮🇩 INDONESIA | 144 | +0.12 | -1.18 | -1.05 | · |
| 50 | J.Black | OCEANIA | 176 | +0.40 | -1.48 | -1.08 | ▲2 |
| 51 | A.Boughey | OCEANIA | 176 | +0.40 | -1.48 | -1.08 | ▲2 |
| 52 | M.Linz | 🇺🇸 USA | 224 | +0.12 | -1.27 | -1.15 | ▼2 |
| 53 | R.Wernis | 🇺🇸 USA | 224 | +0.12 | -1.27 | -1.15 | ▼2 |