Wuhan 2019 — 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 | S.Das | 🇮🇳 INDIA | 192 | +0.68 | +131.0 |
| 2 | S.Saha | 🇮🇳 INDIA | 192 | +0.68 | +131.0 |
| 3 | J.Hansen | 🇩🇰 DENMARK | 240 | +0.42 | +100.0 |
| 4 | S.Schou | 🇩🇰 DENMARK | 240 | +0.42 | +100.0 |
| 5 | D.Kendrick | 🏴 ENGLAND | 192 | +0.19 | +37.0 |
| 6 | T.Ward | 🏴 ENGLAND | 192 | +0.19 | +37.0 |
| 7 | L.Hofland | 🇳🇱 NETHERLANDS | 176 | +0.06 | +11.0 |
| 8 | B.Van Der Hoek | 🇳🇱 NETHERLANDS | 176 | +0.06 | +11.0 |
| 9 | A.Mulder | 🇳🇱 NETHERLANDS | 192 | -0.03 | -5.0 |
| 10 | H.Vergoed | 🇳🇱 NETHERLANDS | 192 | -0.03 | -5.0 |
| 11 | J.Holland | 🏴 ENGLAND | 288 | -0.03 | -8.0 |
| 12 | A.Mould | 🏴 ENGLAND | 288 | -0.03 | -8.0 |
| 13 | K.Boesgaard | 🇩🇰 DENMARK | 240 | -0.06 | -15.0 |
| 14 | H.Nielsen | 🇩🇰 DENMARK | 240 | -0.06 | -15.0 |
| 15 | H.De Vrind | 🇳🇱 NETHERLANDS | 176 | -0.15 | -27.0 |
| 16 | F.Ten Brink | 🇳🇱 NETHERLANDS | 176 | -0.15 | -27.0 |
| 17 | S.Dhakras | 🇮🇳 INDIA | 144 | -0.41 | -59.0 |
| 18 | R.Sridharan | 🇮🇳 INDIA | 144 | -0.41 | -59.0 |
| 19 | D.Poddar | 🇮🇳 INDIA | 208 | -0.75 | -157.0 |
| 20 | J.Solani | 🇮🇳 INDIA | 208 | -0.75 | -157.0 |
| 21 | C.Yeh | 🇹🇼 CHINESE TAIPEI | 16 | +1.94 | +31.0 |
| 22 | J.Shih | 🇹🇼 CHINESE TAIPEI | 96 | +1.58 | +152.0 |
| 23 | M.Lebel | 🇫🇷 FRANCE | 80 | +1.55 | +124.0 |
| 24 | P.Soulet | 🇫🇷 FRANCE | 80 | +1.55 | +124.0 |
| 25 | P.Huang | 🇹🇼 CHINESE TAIPEI | 80 | +1.51 | +121.0 |
| 26 | M.Lair | 🇺🇸 USA 2 | 64 | +1.17 | +75.0 |
| 27 | M.Rosenberg | 🇺🇸 USA 2 | 64 | +1.17 | +75.0 |
| 28 | Y.Liang | 🇨🇳 CHINA | 64 | +0.59 | +38.0 |
| 29 | M.Sun | 🇨🇳 CHINA | 80 | +0.38 | +30.0 |
| 30 | R.Lin | 🇨🇳 CHINA | 48 | +0.17 | +8.0 |
| 31 | D.Muller | 🏴 ENGLAND | 96 | +0.06 | +6.0 |
| 32 | M.Pryor | 🏴 ENGLAND | 96 | +0.06 | +6.0 |
| 33 | J.Tao | 🇨🇳 CHINA | 64 | +0.00 | +0.0 |
| 34 | S.Christiansen | 🇩🇰 DENMARK | 96 | -0.19 | -18.0 |
| 35 | H.Hansen | 🇩🇰 DENMARK | 96 | -0.19 | -18.0 |
| 36 | D.Berkowitz | 🇺🇸 USA 2 | 64 | -0.25 | -16.0 |
| 37 | A.Sontag | 🇺🇸 USA 2 | 64 | -0.25 | -16.0 |
| 38 | M.Abecassis | 🇫🇷 FRANCE | 80 | -0.40 | -32.0 |
| 39 | A.Levy | 🇫🇷 FRANCE | 80 | -0.40 | -32.0 |
| 40 | M.Shen | 🇨🇳 CHINA | 64 | -0.58 | -37.0 |
| 41 | X.Shen | 🇨🇳 CHINA | 64 | -0.58 | -37.0 |
| 42 | J.Chung | 🇹🇼 CHINESE TAIPEI | 96 | -1.38 | -132.0 |
| 43 | C.Lin | 🇹🇼 CHINESE TAIPEI | 96 | -1.38 | -132.0 |
| 44 | S.Garner | 🇺🇸 USA 2 | 64 | -1.56 | -100.0 |
| 45 | J.Wolfson | 🇺🇸 USA 2 | 64 | -1.56 | -100.0 |
| 46 | G.Lasserre | 🇫🇷 FRANCE | 32 | -2.12 | -68.0 |
| 47 | P.Poizat | 🇫🇷 FRANCE | 32 | -2.12 | -68.0 |
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 | D.Kendrick | 🏴 ENGLAND | 41 | 90.2% | 0.12 |
| 2 | H.De Vrind | 🇳🇱 NETHERLANDS | 34 | 88.2% | 0.12 |
| 3 | F.Ten Brink | 🇳🇱 NETHERLANDS | 57 | 82.5% | 0.19 |
| 4 | J.Hansen | 🇩🇰 DENMARK | 60 | 81.7% | 0.18 |
| 5 | S.Das | 🇮🇳 INDIA | 52 | 80.8% | 0.21 |
| 6 | H.Nielsen | 🇩🇰 DENMARK | 55 | 80.0% | 0.27 |
| 7 | S.Dhakras | 🇮🇳 INDIA | 48 | 79.2% | 0.25 |
| 8 | K.Boesgaard | 🇩🇰 DENMARK | 62 | 79.0% | 0.24 |
| 9 | J.Solani | 🇮🇳 INDIA | 46 | 78.3% | 0.24 |
| 10 | B.Van Der Hoek | 🇳🇱 NETHERLANDS | 46 | 78.3% | 0.28 |
| 11 | L.Hofland | 🇳🇱 NETHERLANDS | 45 | 75.6% | 0.24 |
| 12 | S.Saha | 🇮🇳 INDIA | 41 | 75.6% | 0.24 |
| 13 | S.Schou | 🇩🇰 DENMARK | 57 | 75.4% | 0.30 |
| 14 | T.Ward | 🏴 ENGLAND | 64 | 75.0% | 0.27 |
| 15 | A.Mould | 🏴 ENGLAND | 72 | 75.0% | 0.33 |
| 16 | D.Poddar | 🇮🇳 INDIA | 47 | 74.5% | 0.30 |
| 17 | J.Holland | 🏴 ENGLAND | 64 | 73.4% | 0.30 |
| 18 | R.Sridharan | 🇮🇳 INDIA | 36 | 72.2% | 0.28 |
| 19 | A.Mulder | 🇳🇱 NETHERLANDS | 18 | 72.2% | 0.33 |
| 20 | H.Vergoed | 🇳🇱 NETHERLANDS | 63 | 65.1% | 0.36 |
| 21 | C.Yeh | 🇹🇼 CHINESE TAIPEI | 7 | 100.0% | 0.00 |
| 22 | M.Lair | 🇺🇸 USA 2 | 17 | 94.1% | 0.06 |
| 23 | M.Shen | 🇨🇳 CHINA | 11 | 90.9% | 0.09 |
| 24 | S.Garner | 🇺🇸 USA 2 | 10 | 90.0% | 0.10 |
| 25 | M.Lebel | 🇫🇷 FRANCE | 9 | 88.9% | 0.11 |
| 26 | J.Chung | 🇹🇼 CHINESE TAIPEI | 26 | 88.5% | 0.15 |
| 27 | H.Hansen | 🇩🇰 DENMARK | 33 | 84.8% | 0.15 |
| 28 | P.Huang | 🇹🇼 CHINESE TAIPEI | 18 | 83.3% | 0.17 |
| 29 | Y.Liang | 🇨🇳 CHINA | 10 | 80.0% | 0.20 |
| 30 | M.Abecassis | 🇫🇷 FRANCE | 15 | 80.0% | 0.20 |
| 31 | J.Tao | 🇨🇳 CHINA | 19 | 78.9% | 0.26 |
| 32 | P.Soulet | 🇫🇷 FRANCE | 33 | 78.8% | 0.24 |
| 33 | R.Lin | 🇨🇳 CHINA | 14 | 78.6% | 0.21 |
| 34 | G.Lasserre | 🇫🇷 FRANCE | 9 | 77.8% | 0.22 |
| 35 | S.Christiansen | 🇩🇰 DENMARK | 22 | 77.3% | 0.32 |
| 36 | M.Sun | 🇨🇳 CHINA | 26 | 76.9% | 0.23 |
| 37 | X.Shen | 🇨🇳 CHINA | 21 | 76.2% | 0.24 |
| 38 | D.Berkowitz | 🇺🇸 USA 2 | 21 | 76.2% | 0.43 |
| 39 | J.Shih | 🇹🇼 CHINESE TAIPEI | 29 | 75.9% | 0.34 |
| 40 | C.Lin | 🇹🇼 CHINESE TAIPEI | 20 | 75.0% | 0.25 |
| 41 | M.Pryor | 🏴 ENGLAND | 20 | 75.0% | 0.35 |
| 42 | A.Levy | 🇫🇷 FRANCE | 23 | 73.9% | 0.30 |
| 43 | J.Wolfson | 🇺🇸 USA 2 | 19 | 73.7% | 0.26 |
| 44 | M.Rosenberg | 🇺🇸 USA 2 | 13 | 69.2% | 0.31 |
| 45 | D.Muller | 🏴 ENGLAND | 29 | 65.5% | 0.41 |
| 46 | A.Sontag | 🇺🇸 USA 2 | 16 | 62.5% | 0.44 |
| 47 | P.Poizat | 🇫🇷 FRANCE | 4 | 50.0% | 0.50 |
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 | L.Hofland | 🇳🇱 NETHERLANDS | 48 | 83.3% | 0.21 |
| 2 | D.Kendrick | 🏴 ENGLAND | 27 | 81.5% | 0.18 |
| 3 | F.Ten Brink | 🇳🇱 NETHERLANDS | 42 | 81.0% | 0.21 |
| 4 | R.Sridharan | 🇮🇳 INDIA | 29 | 79.3% | 0.21 |
| 5 | H.Nielsen | 🇩🇰 DENMARK | 62 | 79.0% | 0.27 |
| 6 | J.Holland | 🏴 ENGLAND | 57 | 78.9% | 0.26 |
| 7 | S.Schou | 🇩🇰 DENMARK | 66 | 78.8% | 0.24 |
| 8 | S.Das | 🇮🇳 INDIA | 56 | 78.6% | 0.27 |
| 9 | J.Solani | 🇮🇳 INDIA | 73 | 75.3% | 0.27 |
| 10 | B.Van Der Hoek | 🇳🇱 NETHERLANDS | 36 | 75.0% | 0.28 |
| 11 | A.Mould | 🏴 ENGLAND | 95 | 74.7% | 0.32 |
| 12 | T.Ward | 🏴 ENGLAND | 60 | 71.7% | 0.35 |
| 13 | H.De Vrind | 🇳🇱 NETHERLANDS | 43 | 69.8% | 0.35 |
| 14 | J.Hansen | 🇩🇰 DENMARK | 57 | 68.4% | 0.39 |
| 15 | S.Saha | 🇮🇳 INDIA | 43 | 67.4% | 0.42 |
| 16 | K.Boesgaard | 🇩🇰 DENMARK | 61 | 67.2% | 0.51 |
| 17 | D.Poddar | 🇮🇳 INDIA | 42 | 66.7% | 0.38 |
| 18 | S.Dhakras | 🇮🇳 INDIA | 31 | 64.5% | 0.39 |
| 19 | A.Mulder | 🇳🇱 NETHERLANDS | 73 | 63.0% | 0.57 |
| 20 | H.Vergoed | 🇳🇱 NETHERLANDS | 37 | 59.5% | 0.78 |
| 21 | R.Lin | 🇨🇳 CHINA | 7 | 100.0% | 0.00 |
| 22 | P.Huang | 🇹🇼 CHINESE TAIPEI | 25 | 92.0% | 0.12 |
| 23 | M.Rosenberg | 🇺🇸 USA 2 | 17 | 88.2% | 0.18 |
| 24 | Y.Liang | 🇨🇳 CHINA | 16 | 87.5% | 0.19 |
| 25 | D.Muller | 🏴 ENGLAND | 30 | 83.3% | 0.27 |
| 26 | P.Soulet | 🇫🇷 FRANCE | 16 | 81.2% | 0.31 |
| 27 | M.Sun | 🇨🇳 CHINA | 20 | 80.0% | 0.25 |
| 28 | M.Pryor | 🏴 ENGLAND | 17 | 76.5% | 0.23 |
| 29 | S.Garner | 🇺🇸 USA 2 | 19 | 73.7% | 0.26 |
| 30 | X.Shen | 🇨🇳 CHINA | 15 | 73.3% | 0.33 |
| 31 | J.Shih | 🇹🇼 CHINESE TAIPEI | 14 | 71.4% | 0.29 |
| 32 | M.Shen | 🇨🇳 CHINA | 17 | 70.6% | 0.29 |
| 33 | A.Levy | 🇫🇷 FRANCE | 20 | 70.0% | 0.30 |
| 34 | C.Lin | 🇹🇼 CHINESE TAIPEI | 26 | 69.2% | 0.31 |
| 35 | J.Tao | 🇨🇳 CHINA | 16 | 68.8% | 0.50 |
| 36 | M.Abecassis | 🇫🇷 FRANCE | 22 | 68.2% | 0.36 |
| 37 | C.Yeh | 🇹🇼 CHINESE TAIPEI | 3 | 66.7% | 0.67 |
| 38 | S.Christiansen | 🇩🇰 DENMARK | 26 | 65.4% | 0.46 |
| 39 | M.Lair | 🇺🇸 USA 2 | 16 | 62.5% | 0.38 |
| 40 | A.Sontag | 🇺🇸 USA 2 | 16 | 62.5% | 0.44 |
| 41 | J.Chung | 🇹🇼 CHINESE TAIPEI | 24 | 62.5% | 0.46 |
| 42 | D.Berkowitz | 🇺🇸 USA 2 | 10 | 60.0% | 0.40 |
| 43 | H.Hansen | 🇩🇰 DENMARK | 15 | 60.0% | 0.47 |
| 44 | M.Lebel | 🇫🇷 FRANCE | 22 | 59.1% | 0.50 |
| 45 | J.Wolfson | 🇺🇸 USA 2 | 16 | 50.0% | 0.56 |
| 46 | G.Lasserre | 🇫🇷 FRANCE | 12 | 50.0% | 0.75 |
| 47 | P.Poizat | 🇫🇷 FRANCE | 7 | 42.9% | 0.86 |
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.Das | 🇮🇳 INDIA | 93 | 88.2% | 0.14 |
| 2 | S.Saha | 🇮🇳 INDIA | 93 | 88.2% | 0.14 |
| 3 | J.Holland | 🏴 ENGLAND | 136 | 88.2% | 0.15 |
| 4 | A.Mould | 🏴 ENGLAND | 136 | 88.2% | 0.15 |
| 5 | S.Dhakras | 🇮🇳 INDIA | 84 | 88.1% | 0.17 |
| 6 | R.Sridharan | 🇮🇳 INDIA | 84 | 88.1% | 0.17 |
| 7 | L.Hofland | 🇳🇱 NETHERLANDS | 91 | 86.8% | 0.19 |
| 8 | B.Van Der Hoek | 🇳🇱 NETHERLANDS | 91 | 86.8% | 0.19 |
| 9 | H.De Vrind | 🇳🇱 NETHERLANDS | 91 | 85.7% | 0.18 |
| 10 | F.Ten Brink | 🇳🇱 NETHERLANDS | 91 | 85.7% | 0.18 |
| 11 | D.Kendrick | 🏴 ENGLAND | 105 | 85.7% | 0.19 |
| 12 | T.Ward | 🏴 ENGLAND | 105 | 85.7% | 0.19 |
| 13 | K.Boesgaard | 🇩🇰 DENMARK | 117 | 84.6% | 0.19 |
| 14 | H.Nielsen | 🇩🇰 DENMARK | 117 | 84.6% | 0.19 |
| 15 | J.Hansen | 🇩🇰 DENMARK | 117 | 84.6% | 0.19 |
| 16 | S.Schou | 🇩🇰 DENMARK | 117 | 84.6% | 0.19 |
| 17 | A.Mulder | 🇳🇱 NETHERLANDS | 81 | 80.2% | 0.26 |
| 18 | H.Vergoed | 🇳🇱 NETHERLANDS | 81 | 80.2% | 0.26 |
| 19 | D.Poddar | 🇮🇳 INDIA | 93 | 75.3% | 0.31 |
| 20 | J.Solani | 🇮🇳 INDIA | 93 | 75.3% | 0.31 |
| 21 | M.Lebel | 🇫🇷 FRANCE | 42 | 95.2% | 0.05 |
| 22 | P.Soulet | 🇫🇷 FRANCE | 42 | 95.2% | 0.05 |
| 23 | M.Abecassis | 🇫🇷 FRANCE | 38 | 92.1% | 0.08 |
| 24 | A.Levy | 🇫🇷 FRANCE | 38 | 92.1% | 0.08 |
| 25 | M.Sun | 🇨🇳 CHINA | 40 | 90.0% | 0.12 |
| 26 | Y.Liang | 🇨🇳 CHINA | 34 | 88.2% | 0.15 |
| 27 | M.Shen | 🇨🇳 CHINA | 32 | 87.5% | 0.12 |
| 28 | X.Shen | 🇨🇳 CHINA | 32 | 87.5% | 0.12 |
| 29 | S.Christiansen | 🇩🇰 DENMARK | 55 | 87.3% | 0.22 |
| 30 | H.Hansen | 🇩🇰 DENMARK | 55 | 87.3% | 0.22 |
| 31 | M.Lair | 🇺🇸 USA 2 | 30 | 86.7% | 0.17 |
| 32 | M.Rosenberg | 🇺🇸 USA 2 | 30 | 86.7% | 0.17 |
| 33 | P.Huang | 🇹🇼 CHINESE TAIPEI | 43 | 86.0% | 0.14 |
| 34 | J.Shih | 🇹🇼 CHINESE TAIPEI | 54 | 85.2% | 0.15 |
| 35 | J.Chung | 🇹🇼 CHINESE TAIPEI | 46 | 84.8% | 0.17 |
| 36 | C.Lin | 🇹🇼 CHINESE TAIPEI | 46 | 84.8% | 0.17 |
| 37 | D.Berkowitz | 🇺🇸 USA 2 | 37 | 83.8% | 0.16 |
| 38 | A.Sontag | 🇺🇸 USA 2 | 37 | 83.8% | 0.16 |
| 39 | S.Garner | 🇺🇸 USA 2 | 29 | 82.8% | 0.17 |
| 40 | J.Wolfson | 🇺🇸 USA 2 | 29 | 82.8% | 0.17 |
| 41 | C.Yeh | 🇹🇼 CHINESE TAIPEI | 11 | 81.8% | 0.18 |
| 42 | D.Muller | 🏴 ENGLAND | 49 | 77.6% | 0.33 |
| 43 | M.Pryor | 🏴 ENGLAND | 49 | 77.6% | 0.33 |
| 44 | J.Tao | 🇨🇳 CHINA | 35 | 77.1% | 0.23 |
| 45 | G.Lasserre | 🇫🇷 FRANCE | 13 | 76.9% | 0.23 |
| 46 | P.Poizat | 🇫🇷 FRANCE | 13 | 76.9% | 0.23 |
| 47 | R.Lin | 🇨🇳 CHINA | 29 | 72.4% | 0.28 |
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 | K.Boesgaard | 🇩🇰 DENMARK | 240 | +0.03 | +0.58 | +0.61 | · |
| 2 | H.Nielsen | 🇩🇰 DENMARK | 240 | +0.03 | +0.58 | +0.61 | · |
| 3 | J.Holland | 🏴 ENGLAND | 288 | -0.01 | +0.56 | +0.56 | · |
| 4 | A.Mould | 🏴 ENGLAND | 288 | -0.01 | +0.56 | +0.56 | · |
| 5 | J.Hansen | 🇩🇰 DENMARK | 240 | +0.02 | +0.23 | +0.25 | · |
| 6 | S.Schou | 🇩🇰 DENMARK | 240 | +0.02 | +0.23 | +0.25 | · |
| 7 | S.Das | 🇮🇳 INDIA | 192 | +0.10 | -0.13 | -0.03 | ▲4 |
| 8 | S.Saha | 🇮🇳 INDIA | 192 | +0.10 | -0.13 | -0.03 | ▲4 |
| 9 | S.Dhakras | 🇮🇳 INDIA | 144 | +0.05 | -0.19 | -0.14 | ▲4 |
| 10 | R.Sridharan | 🇮🇳 INDIA | 144 | +0.05 | -0.19 | -0.14 | ▲4 |
| 11 | L.Hofland | 🇳🇱 NETHERLANDS | 176 | -0.15 | +0.00 | -0.14 | ▼4 |
| 12 | B.Van Der Hoek | 🇳🇱 NETHERLANDS | 176 | -0.15 | +0.00 | -0.14 | ▼4 |
| 13 | D.Kendrick | 🏴 ENGLAND | 192 | +0.03 | -0.22 | -0.19 | ▲4 |
| 14 | T.Ward | 🏴 ENGLAND | 192 | +0.03 | -0.22 | -0.19 | ▲4 |
| 15 | D.Poddar | 🇮🇳 INDIA | 208 | -0.13 | -0.08 | -0.21 | ▼6 |
| 16 | J.Solani | 🇮🇳 INDIA | 208 | -0.13 | -0.08 | -0.21 | ▼6 |
| 17 | A.Mulder | 🇳🇱 NETHERLANDS | 192 | -0.02 | -0.19 | -0.21 | ▼2 |
| 18 | H.Vergoed | 🇳🇱 NETHERLANDS | 192 | -0.02 | -0.19 | -0.21 | ▼2 |
| 19 | H.De Vrind | 🇳🇱 NETHERLANDS | 176 | +0.03 | -0.39 | -0.36 | · |
| 20 | F.Ten Brink | 🇳🇱 NETHERLANDS | 176 | +0.03 | -0.39 | -0.36 | · |