Suzhou 2018 — 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 | H.Ciunczyk | 🇵🇱 POLAND | 126 | +1.18 | +149.0 |
| 2 | S.Akdas | 🇹🇷 TURKEY | 196 | +1.18 | +231.0 |
| 3 | E.Gurer | 🇹🇷 TURKEY | 196 | +1.18 | +231.0 |
| 4 | J.Zalewska | 🇵🇱 POLAND | 126 | +1.06 | +133.0 |
| 5 | B.Fu | 🇨🇳 CHINA | 196 | +0.87 | +171.0 |
| 6 | X.Li | 🇨🇳 CHINA | 196 | +0.87 | +171.0 |
| 7 | X.Ni | 🇨🇳 CHINA | 182 | +0.87 | +158.0 |
| 8 | S.Combescure | 🇫🇷 FRANCE | 154 | +0.85 | +131.0 |
| 9 | M.Thuillez | 🇫🇷 FRANCE | 154 | +0.85 | +131.0 |
| 10 | H.Revai | 🇭🇺 HUNGARY | 112 | +0.81 | +91.0 |
| 11 | S.Kolen | 🇳🇱 NETHERLANDS | 182 | +0.72 | +131.0 |
| 12 | E.Visser | 🇳🇱 NETHERLANDS | 182 | +0.72 | +131.0 |
| 13 | C.Hu | 🇨🇳 CHINA | 196 | +0.63 | +123.0 |
| 14 | T.Indrebo | 🇳🇴 NORWAY | 140 | +0.56 | +79.0 |
| 15 | I.Oeberg | 🇳🇴 NORWAY | 140 | +0.56 | +79.0 |
| 16 | F.Nacrur | 🇨🇱 CHILE | 196 | +0.52 | +101.0 |
| 17 | A.Zareba | 🇵🇱 POLAND | 140 | +0.51 | +71.0 |
| 18 | B.Fischer | 🇭🇺 HUNGARY | 196 | +0.50 | +98.0 |
| 19 | R.Dewi | 🇮🇩 INDONESIA | 84 | +0.44 | +37.0 |
| 20 | R.Shaumi | 🇮🇩 INDONESIA | 84 | +0.44 | +37.0 |
| 21 | E.Gahan | 🏴 ENGLAND | 154 | +0.44 | +67.0 |
| 22 | Y.Wiseman | 🏴 ENGLAND | 154 | +0.44 | +67.0 |
| 23 | M.Coupel | 🇫🇷 FRANCE | 98 | +0.41 | +40.0 |
| 24 | B.Dufrene | 🇫🇷 FRANCE | 98 | +0.41 | +40.0 |
| 25 | V.Saengphak | 🇹🇭 THAILAND | 126 | +0.40 | +51.0 |
| 26 | P.Worasiri | 🇹🇭 THAILAND | 126 | +0.40 | +51.0 |
| 27 | Z.Baldysz | 🇵🇱 POLAND | 140 | +0.39 | +55.0 |
| 28 | Y.Leung | 🇭🇰 CHINA HONG KONG | 168 | +0.34 | +57.0 |
| 29 | Y.Wu | 🇭🇰 CHINA HONG KONG | 168 | +0.34 | +57.0 |
| 30 | A.Lin | 🇺🇸 USA | 182 | +0.29 | +52.0 |
| 31 | T.Chaiyasing | 🇹🇭 THAILAND | 126 | +0.17 | +22.0 |
| 32 | P.Thanchiranukul | 🇹🇭 THAILAND | 126 | +0.17 | +22.0 |
| 33 | K.Ekren | 🇳🇴 NORWAY | 112 | +0.15 | +17.0 |
| 34 | T.Hauge | 🇳🇴 NORWAY | 112 | +0.15 | +17.0 |
| 35 | H.Lajos | 🇭🇺 HUNGARY | 168 | +0.14 | +23.0 |
| 36 | V.Szucs | 🇭🇺 HUNGARY | 168 | +0.14 | +23.0 |
| 37 | S.Gerstmann | 🇨🇱 CHILE | 182 | +0.11 | +20.0 |
| 38 | F.Martanti | 🇮🇩 INDONESIA | 154 | +0.10 | +15.0 |
| 39 | M.Triana | 🇮🇩 INDONESIA | 154 | +0.10 | +15.0 |
| 40 | E.Kolesnik | 🇺🇸 USA | 154 | +0.08 | +12.0 |
| 41 | S.Chang | 🇺🇸 USA | 182 | -0.04 | -7.0 |
| 42 | Y.Fang | 🇹🇼 CHINESE TAIPEI | 168 | -0.05 | -8.0 |
| 43 | C.Liu | 🇹🇼 CHINESE TAIPEI | 168 | -0.05 | -8.0 |
| 44 | L.Zhang | 🇺🇸 USA | 196 | -0.05 | -10.0 |
| 45 | Y.Huang | 🇹🇼 CHINESE TAIPEI | 126 | -0.06 | -7.0 |
| 46 | W.Yu | 🇹🇼 CHINESE TAIPEI | 126 | -0.06 | -7.0 |
| 47 | L.Covill | 🏴 ENGLAND | 140 | -0.08 | -11.0 |
| 48 | S.Ren | 🏴 ENGLAND | 140 | -0.08 | -11.0 |
| 49 | E.Jounin | 🇫🇷 FRANCE | 140 | -0.09 | -13.0 |
| 50 | A.Leleu | 🇫🇷 FRANCE | 140 | -0.09 | -13.0 |
| 51 | M.Christensen | 🇳🇱 NETHERLANDS | 168 | -0.17 | -28.0 |
| 52 | J.Wackwitz | 🇳🇱 NETHERLANDS | 168 | -0.17 | -28.0 |
| 53 | E.Ningtias | 🇮🇩 INDONESIA | 154 | -0.25 | -38.0 |
| 54 | F.Sibuea | 🇮🇩 INDONESIA | 154 | -0.25 | -38.0 |
| 55 | J.Kokot | 🇵🇱 POLAND | 126 | -0.37 | -46.0 |
| 56 | D.Ocylok | 🇵🇱 POLAND | 126 | -0.37 | -46.0 |
| 57 | A.Kjensli | 🇳🇴 NORWAY | 140 | -0.51 | -71.0 |
| 58 | S.Sjodal | 🇳🇴 NORWAY | 140 | -0.51 | -71.0 |
| 59 | B.Bulut | 🇹🇷 TURKEY | 84 | -0.56 | -47.0 |
| 60 | E.Ergun | 🇹🇷 TURKEY | 84 | -0.56 | -47.0 |
| 61 | I.Perez | 🇧🇷 BRAZIL | 98 | -0.61 | -60.0 |
| 62 | B.Taslak | 🇹🇷 TURKEY | 112 | -0.68 | -76.0 |
| 63 | E.Yavuz | 🇹🇷 TURKEY | 112 | -0.68 | -76.0 |
| 64 | X.Fang | 🇭🇰 CHINA HONG KONG | 182 | -0.77 | -140.0 |
| 65 | K.Hui | 🇭🇰 CHINA HONG KONG | 182 | -0.77 | -140.0 |
| 66 | P.Gantanawate | 🇹🇭 THAILAND | 140 | -0.81 | -113.0 |
| 67 | S.Lumjiak | 🇹🇭 THAILAND | 140 | -0.81 | -113.0 |
| 68 | M.De Andrade Cavalcante | 🇧🇷 BRAZIL | 182 | -0.84 | -152.0 |
| 69 | M.Beko | 🇭🇺 HUNGARY | 98 | -0.86 | -84.0 |
| 70 | F.Villegas | 🇨🇱 CHILE | 154 | -1.10 | -170.0 |
| 71 | J.Mautone | 🇧🇷 BRAZIL | 182 | -1.11 | -202.0 |
| 72 | T.Battaggia | 🇧🇷 BRAZIL | 168 | -1.20 | -202.0 |
| 73 | O.Bailey | 🏴 ENGLAND | 98 | -1.43 | -140.0 |
| 74 | E.Wieczorek | 🏴 ENGLAND | 98 | -1.43 | -140.0 |
| 75 | C.Yanez | 🇨🇱 CHILE | 196 | -1.58 | -309.0 |
| 76 | J.Araujo Lobato | 🇧🇷 BRAZIL | 154 | -1.58 | -244.0 |
| 77 | W.Hsu | 🇹🇼 CHINESE TAIPEI | 98 | -1.90 | -186.0 |
| 78 | H.Liu | 🇹🇼 CHINESE TAIPEI | 98 | -1.90 | -186.0 |
| 79 | F.Beekman | 🇳🇱 NETHERLANDS | 42 | +1.95 | +82.0 |
| 80 | J.Berwald | 🇳🇱 NETHERLANDS | 42 | +1.95 | +82.0 |
| 81 | J.Jalsovszky | 🇭🇺 HUNGARY | 42 | +0.93 | +39.0 |
| 82 | L.Ma | 🇺🇸 USA | 70 | +0.81 | +57.0 |
| 83 | Y.Lee | 🇭🇰 CHINA HONG KONG | 42 | -1.02 | -43.0 |
| 84 | S.Ng | 🇭🇰 CHINA HONG KONG | 42 | -1.02 | -43.0 |
| 85 | C.Smith | 🇨🇱 CHILE | 56 | -1.04 | -58.0 |
| 86 | Y.Cai | 🇨🇳 CHINA | 14 | -2.50 | -35.0 |
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 | S.Chang | 🇺🇸 USA | 39 | 94.9% | 0.05 |
| 2 | B.Dufrene | 🇫🇷 FRANCE | 24 | 91.7% | 0.12 |
| 3 | J.Mautone | 🇧🇷 BRAZIL | 53 | 90.6% | 0.11 |
| 4 | M.Coupel | 🇫🇷 FRANCE | 21 | 90.5% | 0.14 |
| 5 | Y.Huang | 🇹🇼 CHINESE TAIPEI | 47 | 89.4% | 0.17 |
| 6 | E.Ningtias | 🇮🇩 INDONESIA | 28 | 89.3% | 0.25 |
| 7 | H.Revai | 🇭🇺 HUNGARY | 31 | 87.1% | 0.16 |
| 8 | B.Taslak | 🇹🇷 TURKEY | 31 | 87.1% | 0.26 |
| 9 | Y.Wu | 🇭🇰 CHINA HONG KONG | 37 | 86.5% | 0.16 |
| 10 | M.Christensen | 🇳🇱 NETHERLANDS | 51 | 86.3% | 0.18 |
| 11 | I.Perez | 🇧🇷 BRAZIL | 29 | 86.2% | 0.17 |
| 12 | X.Ni | 🇨🇳 CHINA | 49 | 85.7% | 0.14 |
| 13 | L.Covill | 🏴 ENGLAND | 28 | 85.7% | 0.21 |
| 14 | X.Li | 🇨🇳 CHINA | 48 | 85.4% | 0.17 |
| 15 | V.Saengphak | 🇹🇭 THAILAND | 33 | 84.8% | 0.18 |
| 16 | D.Ocylok | 🇵🇱 POLAND | 32 | 84.4% | 0.19 |
| 17 | F.Sibuea | 🇮🇩 INDONESIA | 32 | 84.4% | 0.22 |
| 18 | E.Gurer | 🇹🇷 TURKEY | 64 | 84.4% | 0.23 |
| 19 | E.Wieczorek | 🏴 ENGLAND | 19 | 84.2% | 0.16 |
| 20 | M.Thuillez | 🇫🇷 FRANCE | 38 | 84.2% | 0.21 |
| 21 | H.Liu | 🇹🇼 CHINESE TAIPEI | 19 | 84.2% | 0.21 |
| 22 | M.Beko | 🇭🇺 HUNGARY | 19 | 84.2% | 0.26 |
| 23 | E.Jounin | 🇫🇷 FRANCE | 38 | 84.2% | 0.32 |
| 24 | J.Kokot | 🇵🇱 POLAND | 25 | 84.0% | 0.16 |
| 25 | T.Hauge | 🇳🇴 NORWAY | 31 | 83.9% | 0.23 |
| 26 | A.Kjensli | 🇳🇴 NORWAY | 31 | 83.9% | 0.23 |
| 27 | K.Hui | 🇭🇰 CHINA HONG KONG | 47 | 83.0% | 0.19 |
| 28 | Y.Fang | 🇹🇼 CHINESE TAIPEI | 47 | 83.0% | 0.23 |
| 29 | A.Zareba | 🇵🇱 POLAND | 40 | 82.5% | 0.23 |
| 30 | B.Bulut | 🇹🇷 TURKEY | 28 | 82.1% | 0.21 |
| 31 | S.Kolen | 🇳🇱 NETHERLANDS | 55 | 81.8% | 0.20 |
| 32 | B.Fischer | 🇭🇺 HUNGARY | 43 | 81.4% | 0.19 |
| 33 | P.Thanchiranukul | 🇹🇭 THAILAND | 32 | 81.2% | 0.19 |
| 34 | E.Yavuz | 🇹🇷 TURKEY | 21 | 81.0% | 0.24 |
| 35 | Y.Leung | 🇭🇰 CHINA HONG KONG | 47 | 80.9% | 0.26 |
| 36 | I.Oeberg | 🇳🇴 NORWAY | 36 | 80.6% | 0.22 |
| 37 | T.Chaiyasing | 🇹🇭 THAILAND | 31 | 80.6% | 0.26 |
| 38 | S.Gerstmann | 🇨🇱 CHILE | 36 | 80.6% | 0.31 |
| 39 | E.Visser | 🇳🇱 NETHERLANDS | 46 | 80.4% | 0.26 |
| 40 | V.Szucs | 🇭🇺 HUNGARY | 35 | 80.0% | 0.23 |
| 41 | E.Kolesnik | 🇺🇸 USA | 39 | 79.5% | 0.23 |
| 42 | P.Gantanawate | 🇹🇭 THAILAND | 29 | 79.3% | 0.24 |
| 43 | S.Sjodal | 🇳🇴 NORWAY | 29 | 79.3% | 0.28 |
| 44 | L.Zhang | 🇺🇸 USA | 38 | 78.9% | 0.24 |
| 45 | J.Wackwitz | 🇳🇱 NETHERLANDS | 33 | 78.8% | 0.33 |
| 46 | C.Hu | 🇨🇳 CHINA | 47 | 78.7% | 0.28 |
| 47 | A.Lin | 🇺🇸 USA | 51 | 78.4% | 0.26 |
| 48 | H.Lajos | 🇭🇺 HUNGARY | 46 | 78.3% | 0.26 |
| 49 | R.Shaumi | 🇮🇩 INDONESIA | 32 | 78.1% | 0.28 |
| 50 | F.Nacrur | 🇨🇱 CHILE | 59 | 78.0% | 0.27 |
| 51 | W.Hsu | 🇹🇼 CHINESE TAIPEI | 22 | 77.3% | 0.36 |
| 52 | P.Worasiri | 🇹🇭 THAILAND | 35 | 77.1% | 0.31 |
| 53 | B.Fu | 🇨🇳 CHINA | 53 | 75.5% | 0.36 |
| 54 | C.Yanez | 🇨🇱 CHILE | 49 | 75.5% | 0.37 |
| 55 | E.Gahan | 🏴 ENGLAND | 40 | 75.0% | 0.30 |
| 56 | M.Triana | 🇮🇩 INDONESIA | 43 | 74.4% | 0.35 |
| 57 | J.Zalewska | 🇵🇱 POLAND | 35 | 74.3% | 0.26 |
| 58 | S.Akdas | 🇹🇷 TURKEY | 42 | 73.8% | 0.33 |
| 59 | S.Ren | 🏴 ENGLAND | 42 | 73.8% | 0.33 |
| 60 | F.Villegas | 🇨🇱 CHILE | 34 | 73.5% | 0.32 |
| 61 | S.Combescure | 🇫🇷 FRANCE | 45 | 73.3% | 0.29 |
| 62 | J.Araujo Lobato | 🇧🇷 BRAZIL | 45 | 73.3% | 0.38 |
| 63 | R.Dewi | 🇮🇩 INDONESIA | 15 | 73.3% | 0.40 |
| 64 | A.Leleu | 🇫🇷 FRANCE | 29 | 72.4% | 0.41 |
| 65 | M.De Andrade Cavalcante | 🇧🇷 BRAZIL | 43 | 72.1% | 0.37 |
| 66 | H.Ciunczyk | 🇵🇱 POLAND | 32 | 71.9% | 0.31 |
| 67 | X.Fang | 🇭🇰 CHINA HONG KONG | 39 | 71.8% | 0.44 |
| 68 | T.Indrebo | 🇳🇴 NORWAY | 46 | 71.7% | 0.41 |
| 69 | C.Liu | 🇹🇼 CHINESE TAIPEI | 34 | 70.6% | 0.38 |
| 70 | T.Battaggia | 🇧🇷 BRAZIL | 34 | 70.6% | 0.44 |
| 71 | Y.Wiseman | 🏴 ENGLAND | 43 | 69.8% | 0.37 |
| 72 | Z.Baldysz | 🇵🇱 POLAND | 28 | 67.9% | 0.50 |
| 73 | S.Lumjiak | 🇹🇭 THAILAND | 29 | 65.5% | 0.45 |
| 74 | W.Yu | 🇹🇼 CHINESE TAIPEI | 29 | 65.5% | 0.48 |
| 75 | K.Ekren | 🇳🇴 NORWAY | 25 | 64.0% | 0.44 |
| 76 | F.Martanti | 🇮🇩 INDONESIA | 30 | 60.0% | 0.47 |
| 77 | O.Bailey | 🏴 ENGLAND | 25 | 60.0% | 0.52 |
| 78 | E.Ergun | 🇹🇷 TURKEY | 15 | 60.0% | 0.53 |
| 79 | J.Jalsovszky | 🇭🇺 HUNGARY | 11 | 90.9% | 0.09 |
| 80 | C.Smith | 🇨🇱 CHILE | 14 | 71.4% | 0.29 |
| 81 | F.Beekman | 🇳🇱 NETHERLANDS | 10 | 70.0% | 0.50 |
| 82 | L.Ma | 🇺🇸 USA | 19 | 68.4% | 0.47 |
| 83 | Y.Lee | 🇭🇰 CHINA HONG KONG | 15 | 60.0% | 0.47 |
| 84 | J.Berwald | 🇳🇱 NETHERLANDS | 14 | 50.0% | 0.50 |
| 85 | Y.Cai | 🇨🇳 CHINA | 2 | 50.0% | 0.50 |
| 86 | S.Ng | 🇭🇰 CHINA HONG KONG | 6 | 50.0% | 1.17 |
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 | T.Hauge | 🇳🇴 NORWAY | 30 | 93.3% | 0.07 |
| 2 | B.Fischer | 🇭🇺 HUNGARY | 54 | 85.2% | 0.20 |
| 3 | S.Kolen | 🇳🇱 NETHERLANDS | 40 | 85.0% | 0.20 |
| 4 | P.Gantanawate | 🇹🇭 THAILAND | 33 | 84.8% | 0.18 |
| 5 | B.Bulut | 🇹🇷 TURKEY | 13 | 84.6% | 0.15 |
| 6 | A.Leleu | 🇫🇷 FRANCE | 43 | 83.7% | 0.19 |
| 7 | E.Gahan | 🏴 ENGLAND | 29 | 82.8% | 0.28 |
| 8 | R.Shaumi | 🇮🇩 INDONESIA | 23 | 82.6% | 0.22 |
| 9 | W.Yu | 🇹🇼 CHINESE TAIPEI | 23 | 82.6% | 0.22 |
| 10 | S.Akdas | 🇹🇷 TURKEY | 46 | 82.6% | 0.24 |
| 11 | V.Szucs | 🇭🇺 HUNGARY | 34 | 82.4% | 0.21 |
| 12 | E.Visser | 🇳🇱 NETHERLANDS | 39 | 82.1% | 0.26 |
| 13 | Z.Baldysz | 🇵🇱 POLAND | 32 | 81.2% | 0.22 |
| 14 | A.Lin | 🇺🇸 USA | 41 | 80.5% | 0.32 |
| 15 | Y.Fang | 🇹🇼 CHINESE TAIPEI | 46 | 80.4% | 0.28 |
| 16 | Y.Wiseman | 🏴 ENGLAND | 40 | 80.0% | 0.25 |
| 17 | H.Revai | 🇭🇺 HUNGARY | 25 | 80.0% | 0.28 |
| 18 | F.Sibuea | 🇮🇩 INDONESIA | 34 | 79.4% | 0.27 |
| 19 | M.Triana | 🇮🇩 INDONESIA | 24 | 79.2% | 0.21 |
| 20 | M.Christensen | 🇳🇱 NETHERLANDS | 43 | 79.1% | 0.28 |
| 21 | H.Ciunczyk | 🇵🇱 POLAND | 28 | 78.6% | 0.36 |
| 22 | B.Fu | 🇨🇳 CHINA | 51 | 78.4% | 0.26 |
| 23 | M.Coupel | 🇫🇷 FRANCE | 23 | 78.3% | 0.22 |
| 24 | S.Combescure | 🇫🇷 FRANCE | 32 | 78.1% | 0.25 |
| 25 | P.Worasiri | 🇹🇭 THAILAND | 26 | 76.9% | 0.27 |
| 26 | C.Hu | 🇨🇳 CHINA | 43 | 76.7% | 0.26 |
| 27 | V.Saengphak | 🇹🇭 THAILAND | 30 | 76.7% | 0.27 |
| 28 | M.Thuillez | 🇫🇷 FRANCE | 38 | 76.3% | 0.32 |
| 29 | Y.Wu | 🇭🇰 CHINA HONG KONG | 42 | 76.2% | 0.26 |
| 30 | L.Covill | 🏴 ENGLAND | 33 | 75.8% | 0.30 |
| 31 | E.Wieczorek | 🏴 ENGLAND | 32 | 75.0% | 0.28 |
| 32 | E.Ningtias | 🇮🇩 INDONESIA | 60 | 75.0% | 0.40 |
| 33 | T.Indrebo | 🇳🇴 NORWAY | 32 | 75.0% | 0.44 |
| 34 | A.Zareba | 🇵🇱 POLAND | 39 | 74.4% | 0.31 |
| 35 | F.Nacrur | 🇨🇱 CHILE | 43 | 74.4% | 0.37 |
| 36 | E.Gurer | 🇹🇷 TURKEY | 43 | 74.4% | 0.42 |
| 37 | E.Kolesnik | 🇺🇸 USA | 37 | 73.0% | 0.35 |
| 38 | S.Chang | 🇺🇸 USA | 58 | 72.4% | 0.34 |
| 39 | H.Lajos | 🇭🇺 HUNGARY | 50 | 72.0% | 0.36 |
| 40 | P.Thanchiranukul | 🇹🇭 THAILAND | 32 | 71.9% | 0.34 |
| 41 | D.Ocylok | 🇵🇱 POLAND | 39 | 71.8% | 0.51 |
| 42 | X.Li | 🇨🇳 CHINA | 42 | 71.4% | 0.31 |
| 43 | Y.Leung | 🇭🇰 CHINA HONG KONG | 41 | 70.7% | 0.39 |
| 44 | J.Zalewska | 🇵🇱 POLAND | 30 | 70.0% | 0.30 |
| 45 | B.Taslak | 🇹🇷 TURKEY | 30 | 70.0% | 0.37 |
| 46 | L.Zhang | 🇺🇸 USA | 53 | 69.8% | 0.41 |
| 47 | X.Ni | 🇨🇳 CHINA | 46 | 69.6% | 0.43 |
| 48 | S.Ren | 🏴 ENGLAND | 36 | 69.4% | 0.50 |
| 49 | S.Lumjiak | 🇹🇭 THAILAND | 48 | 68.8% | 0.46 |
| 50 | C.Liu | 🇹🇼 CHINESE TAIPEI | 38 | 68.4% | 0.50 |
| 51 | H.Liu | 🇹🇼 CHINESE TAIPEI | 22 | 68.2% | 0.36 |
| 52 | S.Sjodal | 🇳🇴 NORWAY | 37 | 67.6% | 0.41 |
| 53 | I.Perez | 🇧🇷 BRAZIL | 18 | 66.7% | 0.39 |
| 54 | Y.Huang | 🇹🇼 CHINESE TAIPEI | 27 | 66.7% | 0.41 |
| 55 | T.Battaggia | 🇧🇷 BRAZIL | 36 | 66.7% | 0.53 |
| 56 | S.Gerstmann | 🇨🇱 CHILE | 50 | 66.0% | 0.42 |
| 57 | A.Kjensli | 🇳🇴 NORWAY | 41 | 65.9% | 0.41 |
| 58 | C.Yanez | 🇨🇱 CHILE | 44 | 65.9% | 0.50 |
| 59 | W.Hsu | 🇹🇼 CHINESE TAIPEI | 35 | 65.7% | 0.49 |
| 60 | B.Dufrene | 🇫🇷 FRANCE | 29 | 65.5% | 0.38 |
| 61 | F.Martanti | 🇮🇩 INDONESIA | 54 | 64.8% | 0.65 |
| 62 | R.Dewi | 🇮🇩 INDONESIA | 14 | 64.3% | 0.64 |
| 63 | O.Bailey | 🏴 ENGLAND | 22 | 63.6% | 0.50 |
| 64 | K.Hui | 🇭🇰 CHINA HONG KONG | 52 | 63.5% | 0.46 |
| 65 | T.Chaiyasing | 🇹🇭 THAILAND | 30 | 63.3% | 0.43 |
| 66 | E.Yavuz | 🇹🇷 TURKEY | 30 | 63.3% | 0.77 |
| 67 | F.Villegas | 🇨🇱 CHILE | 45 | 62.2% | 0.53 |
| 68 | I.Oeberg | 🇳🇴 NORWAY | 25 | 60.0% | 0.56 |
| 69 | X.Fang | 🇭🇰 CHINA HONG KONG | 42 | 59.5% | 0.55 |
| 70 | E.Ergun | 🇹🇷 TURKEY | 27 | 59.3% | 0.56 |
| 71 | J.Araujo Lobato | 🇧🇷 BRAZIL | 35 | 57.1% | 0.51 |
| 72 | J.Kokot | 🇵🇱 POLAND | 30 | 56.7% | 0.63 |
| 73 | M.De Andrade Cavalcante | 🇧🇷 BRAZIL | 53 | 56.6% | 0.77 |
| 74 | J.Wackwitz | 🇳🇱 NETHERLANDS | 39 | 56.4% | 0.54 |
| 75 | K.Ekren | 🇳🇴 NORWAY | 26 | 53.8% | 0.58 |
| 76 | J.Mautone | 🇧🇷 BRAZIL | 41 | 53.7% | 0.58 |
| 77 | E.Jounin | 🇫🇷 FRANCE | 30 | 50.0% | 0.63 |
| 78 | M.Beko | 🇭🇺 HUNGARY | 29 | 44.8% | 0.79 |
| 79 | Y.Cai | 🇨🇳 CHINA | 8 | 87.5% | 0.12 |
| 80 | F.Beekman | 🇳🇱 NETHERLANDS | 10 | 80.0% | 0.50 |
| 81 | J.Jalsovszky | 🇭🇺 HUNGARY | 8 | 75.0% | 0.38 |
| 82 | J.Berwald | 🇳🇱 NETHERLANDS | 7 | 71.4% | 0.43 |
| 83 | C.Smith | 🇨🇱 CHILE | 16 | 62.5% | 0.56 |
| 84 | S.Ng | 🇭🇰 CHINA HONG KONG | 13 | 53.8% | 0.77 |
| 85 | L.Ma | 🇺🇸 USA | 16 | 50.0% | 0.62 |
| 86 | Y.Lee | 🇭🇰 CHINA HONG KONG | 8 | 50.0% | 0.62 |
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 | S.Akdas | 🇹🇷 TURKEY | 106 | 91.5% | 0.15 |
| 2 | E.Gurer | 🇹🇷 TURKEY | 106 | 91.5% | 0.15 |
| 3 | L.Zhang | 🇺🇸 USA | 79 | 89.9% | 0.10 |
| 4 | Z.Baldysz | 🇵🇱 POLAND | 67 | 89.6% | 0.10 |
| 5 | E.Jounin | 🇫🇷 FRANCE | 67 | 89.6% | 0.15 |
| 6 | A.Leleu | 🇫🇷 FRANCE | 67 | 89.6% | 0.15 |
| 7 | S.Chang | 🇺🇸 USA | 76 | 89.5% | 0.10 |
| 8 | F.Martanti | 🇮🇩 INDONESIA | 73 | 89.0% | 0.12 |
| 9 | M.Triana | 🇮🇩 INDONESIA | 73 | 89.0% | 0.12 |
| 10 | X.Ni | 🇨🇳 CHINA | 95 | 88.4% | 0.16 |
| 11 | E.Ningtias | 🇮🇩 INDONESIA | 60 | 88.3% | 0.13 |
| 12 | F.Sibuea | 🇮🇩 INDONESIA | 60 | 88.3% | 0.13 |
| 13 | C.Hu | 🇨🇳 CHINA | 98 | 87.8% | 0.16 |
| 14 | K.Ekren | 🇳🇴 NORWAY | 56 | 87.5% | 0.16 |
| 15 | T.Hauge | 🇳🇴 NORWAY | 56 | 87.5% | 0.16 |
| 16 | A.Zareba | 🇵🇱 POLAND | 68 | 86.8% | 0.13 |
| 17 | S.Combescure | 🇫🇷 FRANCE | 83 | 86.7% | 0.17 |
| 18 | M.Thuillez | 🇫🇷 FRANCE | 83 | 86.7% | 0.17 |
| 19 | Y.Fang | 🇹🇼 CHINESE TAIPEI | 81 | 86.4% | 0.14 |
| 20 | C.Liu | 🇹🇼 CHINESE TAIPEI | 81 | 86.4% | 0.14 |
| 21 | H.Lajos | 🇭🇺 HUNGARY | 81 | 86.4% | 0.18 |
| 22 | V.Szucs | 🇭🇺 HUNGARY | 81 | 86.4% | 0.18 |
| 23 | J.Kokot | 🇵🇱 POLAND | 57 | 86.0% | 0.16 |
| 24 | D.Ocylok | 🇵🇱 POLAND | 57 | 86.0% | 0.16 |
| 25 | B.Fischer | 🇭🇺 HUNGARY | 90 | 85.6% | 0.17 |
| 26 | B.Fu | 🇨🇳 CHINA | 101 | 85.1% | 0.18 |
| 27 | X.Li | 🇨🇳 CHINA | 101 | 85.1% | 0.18 |
| 28 | Y.Leung | 🇭🇰 CHINA HONG KONG | 84 | 84.5% | 0.19 |
| 29 | Y.Wu | 🇭🇰 CHINA HONG KONG | 84 | 84.5% | 0.19 |
| 30 | M.Coupel | 🇫🇷 FRANCE | 45 | 84.4% | 0.18 |
| 31 | B.Dufrene | 🇫🇷 FRANCE | 45 | 84.4% | 0.18 |
| 32 | S.Kolen | 🇳🇱 NETHERLANDS | 101 | 84.2% | 0.19 |
| 33 | E.Visser | 🇳🇱 NETHERLANDS | 101 | 84.2% | 0.19 |
| 34 | M.Beko | 🇭🇺 HUNGARY | 43 | 83.7% | 0.16 |
| 35 | A.Lin | 🇺🇸 USA | 92 | 83.7% | 0.18 |
| 36 | J.Zalewska | 🇵🇱 POLAND | 67 | 83.6% | 0.22 |
| 37 | E.Gahan | 🏴 ENGLAND | 83 | 83.1% | 0.24 |
| 38 | Y.Wiseman | 🏴 ENGLAND | 83 | 83.1% | 0.24 |
| 39 | R.Dewi | 🇮🇩 INDONESIA | 47 | 83.0% | 0.19 |
| 40 | R.Shaumi | 🇮🇩 INDONESIA | 47 | 83.0% | 0.19 |
| 41 | T.Chaiyasing | 🇹🇭 THAILAND | 63 | 82.5% | 0.22 |
| 42 | P.Thanchiranukul | 🇹🇭 THAILAND | 63 | 82.5% | 0.22 |
| 43 | F.Nacrur | 🇨🇱 CHILE | 100 | 82.0% | 0.21 |
| 44 | T.Indrebo | 🇳🇴 NORWAY | 82 | 81.7% | 0.23 |
| 45 | I.Oeberg | 🇳🇴 NORWAY | 82 | 81.7% | 0.23 |
| 46 | C.Yanez | 🇨🇱 CHILE | 92 | 81.5% | 0.21 |
| 47 | L.Covill | 🏴 ENGLAND | 70 | 81.4% | 0.23 |
| 48 | S.Ren | 🏴 ENGLAND | 70 | 81.4% | 0.23 |
| 49 | S.Gerstmann | 🇨🇱 CHILE | 94 | 80.9% | 0.22 |
| 50 | H.Ciunczyk | 🇵🇱 POLAND | 68 | 80.9% | 0.25 |
| 51 | F.Villegas | 🇨🇱 CHILE | 73 | 80.8% | 0.22 |
| 52 | H.Revai | 🇭🇺 HUNGARY | 52 | 80.8% | 0.23 |
| 53 | W.Hsu | 🇹🇼 CHINESE TAIPEI | 41 | 80.5% | 0.29 |
| 54 | H.Liu | 🇹🇼 CHINESE TAIPEI | 41 | 80.5% | 0.29 |
| 55 | E.Kolesnik | 🇺🇸 USA | 86 | 80.2% | 0.20 |
| 56 | A.Kjensli | 🇳🇴 NORWAY | 60 | 80.0% | 0.37 |
| 57 | S.Sjodal | 🇳🇴 NORWAY | 60 | 80.0% | 0.37 |
| 58 | Y.Huang | 🇹🇼 CHINESE TAIPEI | 76 | 78.9% | 0.32 |
| 59 | W.Yu | 🇹🇼 CHINESE TAIPEI | 76 | 78.9% | 0.32 |
| 60 | B.Taslak | 🇹🇷 TURKEY | 52 | 78.8% | 0.40 |
| 61 | E.Yavuz | 🇹🇷 TURKEY | 52 | 78.8% | 0.40 |
| 62 | M.Christensen | 🇳🇱 NETHERLANDS | 84 | 78.6% | 0.24 |
| 63 | J.Wackwitz | 🇳🇱 NETHERLANDS | 84 | 78.6% | 0.24 |
| 64 | T.Battaggia | 🇧🇷 BRAZIL | 83 | 78.3% | 0.29 |
| 65 | V.Saengphak | 🇹🇭 THAILAND | 68 | 77.9% | 0.27 |
| 66 | P.Worasiri | 🇹🇭 THAILAND | 68 | 77.9% | 0.27 |
| 67 | O.Bailey | 🏴 ENGLAND | 44 | 77.3% | 0.29 |
| 68 | E.Wieczorek | 🏴 ENGLAND | 44 | 77.3% | 0.29 |
| 69 | J.Araujo Lobato | 🇧🇷 BRAZIL | 83 | 75.9% | 0.28 |
| 70 | P.Gantanawate | 🇹🇭 THAILAND | 58 | 75.9% | 0.29 |
| 71 | S.Lumjiak | 🇹🇭 THAILAND | 58 | 75.9% | 0.29 |
| 72 | X.Fang | 🇭🇰 CHINA HONG KONG | 86 | 75.6% | 0.28 |
| 73 | K.Hui | 🇭🇰 CHINA HONG KONG | 86 | 75.6% | 0.28 |
| 74 | I.Perez | 🇧🇷 BRAZIL | 54 | 72.2% | 0.33 |
| 75 | J.Mautone | 🇧🇷 BRAZIL | 97 | 70.1% | 0.36 |
| 76 | B.Bulut | 🇹🇷 TURKEY | 43 | 69.8% | 0.54 |
| 77 | E.Ergun | 🇹🇷 TURKEY | 43 | 69.8% | 0.54 |
| 78 | M.De Andrade Cavalcante | 🇧🇷 BRAZIL | 91 | 69.2% | 0.35 |
| 79 | C.Smith | 🇨🇱 CHILE | 25 | 88.0% | 0.12 |
| 80 | J.Jalsovszky | 🇭🇺 HUNGARY | 23 | 82.6% | 0.17 |
| 81 | F.Beekman | 🇳🇱 NETHERLANDS | 24 | 79.2% | 0.29 |
| 82 | J.Berwald | 🇳🇱 NETHERLANDS | 24 | 79.2% | 0.29 |
| 83 | Y.Lee | 🇭🇰 CHINA HONG KONG | 21 | 76.2% | 0.29 |
| 84 | S.Ng | 🇭🇰 CHINA HONG KONG | 21 | 76.2% | 0.29 |
| 85 | L.Ma | 🇺🇸 USA | 39 | 74.4% | 0.31 |
| 86 | Y.Cai | 🇨🇳 CHINA | 3 | 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 | B.Fu | 🇨🇳 CHINA | 196 | -0.18 | +1.04 | +0.86 | · |
| 2 | X.Li | 🇨🇳 CHINA | 196 | -0.18 | +1.04 | +0.86 | · |
| 3 | S.Kolen | 🇳🇱 NETHERLANDS | 182 | +0.03 | +0.73 | +0.76 | ▲2 |
| 4 | E.Visser | 🇳🇱 NETHERLANDS | 182 | +0.03 | +0.73 | +0.76 | ▲2 |
| 5 | M.Coupel | 🇫🇷 FRANCE | 98 | -0.17 | +0.82 | +0.65 | ▼2 |
| 6 | B.Dufrene | 🇫🇷 FRANCE | 98 | -0.17 | +0.82 | +0.65 | ▼2 |
| 7 | X.Ni | 🇨🇳 CHINA | 182 | -0.02 | +0.61 | +0.58 | ▲2 |
| 8 | L.Zhang | 🇺🇸 USA | 196 | +0.04 | +0.51 | +0.56 | ▲4 |
| 9 | E.Ningtias | 🇮🇩 INDONESIA | 154 | +0.15 | +0.37 | +0.52 | ▲11 |
| 10 | F.Sibuea | 🇮🇩 INDONESIA | 154 | +0.15 | +0.37 | +0.52 | ▲11 |
| 11 | S.Akdas | 🇹🇷 TURKEY | 196 | -0.15 | +0.64 | +0.49 | ▼4 |
| 12 | E.Gurer | 🇹🇷 TURKEY | 196 | -0.15 | +0.64 | +0.49 | ▼4 |
| 13 | C.Hu | 🇨🇳 CHINA | 196 | -0.03 | +0.50 | +0.47 | · |
| 14 | S.Chang | 🇺🇸 USA | 182 | +0.07 | +0.40 | +0.47 | ▲5 |
| 15 | E.Jounin | 🇫🇷 FRANCE | 140 | +0.14 | +0.29 | +0.43 | ▲14 |
| 16 | A.Leleu | 🇫🇷 FRANCE | 140 | +0.14 | +0.29 | +0.43 | ▲14 |
| 17 | S.Combescure | 🇫🇷 FRANCE | 154 | -0.05 | +0.44 | +0.38 | ▼3 |
| 18 | M.Thuillez | 🇫🇷 FRANCE | 154 | -0.05 | +0.44 | +0.38 | ▼3 |
| 19 | J.Kokot | 🇵🇱 POLAND | 126 | +0.12 | +0.26 | +0.38 | ▲13 |
| 20 | D.Ocylok | 🇵🇱 POLAND | 126 | +0.12 | +0.26 | +0.38 | ▲13 |
| 21 | H.Ciunczyk | 🇵🇱 POLAND | 126 | -0.20 | +0.53 | +0.33 | ▼10 |
| 22 | M.Christensen | 🇳🇱 NETHERLANDS | 168 | +0.11 | +0.21 | +0.32 | ▲14 |
| 23 | J.Wackwitz | 🇳🇱 NETHERLANDS | 168 | +0.11 | +0.21 | +0.32 | ▲14 |
| 24 | A.Zareba | 🇵🇱 POLAND | 140 | -0.09 | +0.41 | +0.32 | ▼6 |
| 25 | B.Fischer | 🇭🇺 HUNGARY | 196 | -0.11 | +0.43 | +0.32 | ▼9 |
| 26 | H.Revai | 🇭🇺 HUNGARY | 112 | -0.33 | +0.59 | +0.26 | ▼16 |
| 27 | Z.Baldysz | 🇵🇱 POLAND | 140 | -0.06 | +0.31 | +0.25 | ▼1 |
| 28 | J.Zalewska | 🇵🇱 POLAND | 126 | -0.18 | +0.42 | +0.24 | ▼11 |
| 29 | V.Saengphak | 🇹🇭 THAILAND | 126 | -0.05 | +0.29 | +0.24 | ▼2 |
| 30 | P.Worasiri | 🇹🇭 THAILAND | 126 | -0.05 | +0.29 | +0.24 | ▼2 |
| 31 | M.Beko | 🇭🇺 HUNGARY | 98 | +0.09 | +0.14 | +0.23 | ▲9 |
| 32 | A.Lin | 🇺🇸 USA | 182 | -0.08 | +0.28 | +0.20 | ▼1 |
| 33 | T.Indrebo | 🇳🇴 NORWAY | 140 | -0.07 | +0.25 | +0.19 | ▲1 |
| 34 | I.Oeberg | 🇳🇴 NORWAY | 140 | -0.07 | +0.25 | +0.19 | ▲1 |
| 35 | K.Ekren | 🇳🇴 NORWAY | 112 | -0.14 | +0.32 | +0.18 | ▼11 |
| 36 | T.Hauge | 🇳🇴 NORWAY | 112 | -0.14 | +0.32 | +0.18 | ▼11 |
| 37 | H.Lajos | 🇭🇺 HUNGARY | 168 | -0.01 | +0.15 | +0.15 | ▲1 |
| 38 | V.Szucs | 🇭🇺 HUNGARY | 168 | -0.01 | +0.15 | +0.15 | ▲1 |
| 39 | E.Kolesnik | 🇺🇸 USA | 154 | +0.06 | +0.08 | +0.14 | ▲2 |
| 40 | Y.Leung | 🇭🇰 CHINA HONG KONG | 168 | +0.04 | +0.04 | +0.08 | ▲2 |
| 41 | Y.Wu | 🇭🇰 CHINA HONG KONG | 168 | +0.04 | +0.04 | +0.08 | ▲2 |
| 42 | B.Bulut | 🇹🇷 TURKEY | 84 | +0.48 | -0.48 | -0.01 | ▲22 |
| 43 | E.Ergun | 🇹🇷 TURKEY | 84 | +0.48 | -0.48 | -0.01 | ▲22 |
| 44 | R.Dewi | 🇮🇩 INDONESIA | 84 | -0.36 | +0.36 | -0.01 | ▼22 |
| 45 | R.Shaumi | 🇮🇩 INDONESIA | 84 | -0.36 | +0.36 | -0.01 | ▼22 |
| 46 | A.Kjensli | 🇳🇴 NORWAY | 140 | +0.16 | -0.20 | -0.04 | ▲6 |
| 47 | S.Sjodal | 🇳🇴 NORWAY | 140 | +0.16 | -0.20 | -0.04 | ▲6 |
| 48 | F.Nacrur | 🇨🇱 CHILE | 196 | -0.02 | -0.05 | -0.07 | ▼2 |
| 49 | T.Chaiyasing | 🇹🇭 THAILAND | 126 | +0.07 | -0.19 | -0.11 | ▼1 |
| 50 | P.Thanchiranukul | 🇹🇭 THAILAND | 126 | +0.07 | -0.19 | -0.11 | ▼1 |
| 51 | Y.Fang | 🇹🇼 CHINESE TAIPEI | 168 | +0.06 | -0.24 | -0.18 | ▲3 |
| 52 | C.Liu | 🇹🇼 CHINESE TAIPEI | 168 | +0.06 | -0.24 | -0.18 | ▲3 |
| 53 | L.Covill | 🏴 ENGLAND | 140 | -0.02 | -0.20 | -0.22 | ▼3 |
| 54 | S.Ren | 🏴 ENGLAND | 140 | -0.02 | -0.20 | -0.22 | ▼3 |
| 55 | S.Gerstmann | 🇨🇱 CHILE | 182 | -0.11 | -0.14 | -0.26 | ▼8 |
| 56 | O.Bailey | 🏴 ENGLAND | 98 | +0.15 | -0.42 | -0.27 | ▲6 |
| 57 | E.Wieczorek | 🏴 ENGLAND | 98 | +0.15 | -0.42 | -0.27 | ▲6 |
| 58 | X.Fang | 🇭🇰 CHINA HONG KONG | 182 | -0.04 | -0.27 | -0.31 | ▼2 |
| 59 | K.Hui | 🇭🇰 CHINA HONG KONG | 182 | -0.04 | -0.27 | -0.31 | ▼2 |
| 60 | P.Gantanawate | 🇹🇭 THAILAND | 140 | +0.03 | -0.34 | -0.31 | ▼2 |
| 61 | S.Lumjiak | 🇹🇭 THAILAND | 140 | +0.03 | -0.34 | -0.31 | ▼2 |
| 62 | Y.Huang | 🇹🇼 CHINESE TAIPEI | 126 | +0.17 | -0.49 | -0.32 | ▲4 |
| 63 | W.Yu | 🇹🇼 CHINESE TAIPEI | 126 | +0.17 | -0.49 | -0.32 | ▲4 |
| 64 | B.Taslak | 🇹🇷 TURKEY | 112 | -0.33 | +0.01 | -0.32 | ▼20 |
| 65 | E.Yavuz | 🇹🇷 TURKEY | 112 | -0.33 | +0.01 | -0.32 | ▼20 |
| 66 | E.Gahan | 🏴 ENGLAND | 154 | -0.01 | -0.41 | -0.42 | ▼6 |
| 67 | Y.Wiseman | 🏴 ENGLAND | 154 | -0.01 | -0.41 | -0.42 | ▼6 |
| 68 | F.Martanti | 🇮🇩 INDONESIA | 154 | +0.09 | -0.65 | -0.56 | · |
| 69 | M.Triana | 🇮🇩 INDONESIA | 154 | +0.09 | -0.65 | -0.56 | · |
| 70 | F.Villegas | 🇨🇱 CHILE | 154 | +0.18 | -0.91 | -0.73 | · |
| 71 | T.Battaggia | 🇧🇷 BRAZIL | 168 | +0.07 | -0.97 | -0.89 | · |
| 72 | I.Perez | 🇧🇷 BRAZIL | 98 | +0.20 | -1.11 | -0.91 | ▲1 |
| 73 | J.Araujo Lobato | 🇧🇷 BRAZIL | 154 | +0.13 | -1.10 | -0.98 | ▼1 |
| 74 | C.Yanez | 🇨🇱 CHILE | 196 | +0.13 | -1.18 | -1.05 | ▲2 |
| 75 | J.Mautone | 🇧🇷 BRAZIL | 182 | +0.10 | -1.25 | -1.15 | ▲2 |
| 76 | W.Hsu | 🇹🇼 CHINESE TAIPEI | 98 | -0.02 | -1.14 | -1.16 | ▼2 |
| 77 | H.Liu | 🇹🇼 CHINESE TAIPEI | 98 | -0.02 | -1.14 | -1.16 | ▼2 |
| 78 | M.De Andrade Cavalcante | 🇧🇷 BRAZIL | 182 | +0.11 | -1.32 | -1.22 | · |