Oostende 2013 — 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.Paoluzi | 🇮🇹 ITALIA 1 | 28 | +1.96 | +55.0 |
| 2 | I.Saccavini | 🇮🇹 ITALIA 1 | 28 | +1.96 | +55.0 |
| 3 | L.Wang | 🇨🇳 CHINA 1 | 56 | +1.34 | +75.0 |
| 4 | W.Wang | 🇨🇳 CHINA 1 | 56 | +1.34 | +75.0 |
| 5 | C.Arnolds | 🇳🇱 DUTCH WOMEN | 56 | +0.50 | +28.0 |
| 6 | W.Zwol | 🇳🇱 DUTCH WOMEN | 56 | +0.50 | +28.0 |
| 7 | X.Feng | 🇨🇳 CHINA 1 | 56 | +0.21 | +12.0 |
| 8 | Y.Zhang | 🇨🇳 CHINA 1 | 56 | +0.21 | +12.0 |
| 9 | J.Smederevac | 🇦🇹 AUSTRIA | 56 | -0.07 | -4.0 |
| 10 | T.Weigkricht | 🇦🇹 AUSTRIA | 56 | -0.07 | -4.0 |
| 11 | A.Rosetta | 🇮🇹 ITALIA 1 | 28 | -0.64 | -18.0 |
| 12 | M.Vanuzzi | 🇮🇹 ITALIA 1 | 28 | -0.64 | -18.0 |
| 13 | I.Grumm | 🇦🇹 AUSTRIA | 56 | -0.66 | -37.0 |
| 14 | S.Terraneo | 🇦🇹 AUSTRIA | 56 | -0.66 | -37.0 |
| 15 | C.Ferlazzo | 🇮🇹 ITALIA 1 | 56 | -0.88 | -49.0 |
| 16 | G.Manara | 🇮🇹 ITALIA 1 | 56 | -0.88 | -49.0 |
| 17 | J.Pasman | 🇳🇱 DUTCH WOMEN | 56 | -1.11 | -62.0 |
| 18 | A.Simons | 🇳🇱 DUTCH WOMEN | 56 | -1.11 | -62.0 |
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 | A.Rosetta | 🇮🇹 ITALIA 1 | 8 | 100.0% | 0.00 |
| 2 | J.Smederevac | 🇦🇹 AUSTRIA | 14 | 92.9% | 0.07 |
| 3 | C.Ferlazzo | 🇮🇹 ITALIA 1 | 11 | 90.9% | 0.09 |
| 4 | W.Zwol | 🇳🇱 DUTCH WOMEN | 11 | 90.9% | 0.09 |
| 5 | Y.Zhang | 🇨🇳 CHINA 1 | 9 | 88.9% | 0.11 |
| 6 | C.Arnolds | 🇳🇱 DUTCH WOMEN | 17 | 88.2% | 0.12 |
| 7 | M.Vanuzzi | 🇮🇹 ITALIA 1 | 8 | 87.5% | 0.12 |
| 8 | I.Grumm | 🇦🇹 AUSTRIA | 13 | 84.6% | 0.15 |
| 9 | L.Wang | 🇨🇳 CHINA 1 | 10 | 80.0% | 0.20 |
| 10 | J.Pasman | 🇳🇱 DUTCH WOMEN | 14 | 78.6% | 0.29 |
| 11 | W.Wang | 🇨🇳 CHINA 1 | 18 | 72.2% | 0.28 |
| 12 | T.Weigkricht | 🇦🇹 AUSTRIA | 18 | 72.2% | 0.28 |
| 13 | A.Simons | 🇳🇱 DUTCH WOMEN | 16 | 68.8% | 0.31 |
| 14 | X.Feng | 🇨🇳 CHINA 1 | 14 | 64.3% | 0.36 |
| 15 | S.Paoluzi | 🇮🇹 ITALIA 1 | 8 | 62.5% | 0.62 |
| 16 | I.Saccavini | 🇮🇹 ITALIA 1 | 5 | 60.0% | 0.40 |
| 17 | S.Terraneo | 🇦🇹 AUSTRIA | 12 | 58.3% | 0.42 |
| 18 | G.Manara | 🇮🇹 ITALIA 1 | 16 | 50.0% | 0.69 |
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 | S.Paoluzi | 🇮🇹 ITALIA 1 | 5 | 100.0% | 0.00 |
| 2 | W.Zwol | 🇳🇱 DUTCH WOMEN | 16 | 87.5% | 0.12 |
| 3 | W.Wang | 🇨🇳 CHINA 1 | 14 | 85.7% | 0.14 |
| 4 | I.Grumm | 🇦🇹 AUSTRIA | 14 | 85.7% | 0.14 |
| 5 | L.Wang | 🇨🇳 CHINA 1 | 14 | 85.7% | 0.29 |
| 6 | A.Rosetta | 🇮🇹 ITALIA 1 | 6 | 83.3% | 0.17 |
| 7 | T.Weigkricht | 🇦🇹 AUSTRIA | 10 | 80.0% | 0.20 |
| 8 | J.Pasman | 🇳🇱 DUTCH WOMEN | 10 | 80.0% | 0.40 |
| 9 | S.Terraneo | 🇦🇹 AUSTRIA | 17 | 76.5% | 0.41 |
| 10 | C.Ferlazzo | 🇮🇹 ITALIA 1 | 8 | 75.0% | 0.25 |
| 11 | C.Arnolds | 🇳🇱 DUTCH WOMEN | 12 | 75.0% | 0.25 |
| 12 | X.Feng | 🇨🇳 CHINA 1 | 19 | 73.7% | 0.37 |
| 13 | A.Simons | 🇳🇱 DUTCH WOMEN | 15 | 73.3% | 0.33 |
| 14 | Y.Zhang | 🇨🇳 CHINA 1 | 13 | 69.2% | 0.31 |
| 15 | I.Saccavini | 🇮🇹 ITALIA 1 | 9 | 66.7% | 0.33 |
| 16 | M.Vanuzzi | 🇮🇹 ITALIA 1 | 6 | 66.7% | 0.50 |
| 17 | G.Manara | 🇮🇹 ITALIA 1 | 21 | 61.9% | 0.52 |
| 18 | J.Smederevac | 🇦🇹 AUSTRIA | 13 | 46.2% | 0.54 |
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 | J.Pasman | 🇳🇱 DUTCH WOMEN | 30 | 93.3% | 0.10 |
| 2 | A.Simons | 🇳🇱 DUTCH WOMEN | 30 | 93.3% | 0.10 |
| 3 | X.Feng | 🇨🇳 CHINA 1 | 23 | 91.3% | 0.09 |
| 4 | Y.Zhang | 🇨🇳 CHINA 1 | 23 | 91.3% | 0.09 |
| 5 | J.Smederevac | 🇦🇹 AUSTRIA | 32 | 87.5% | 0.12 |
| 6 | T.Weigkricht | 🇦🇹 AUSTRIA | 32 | 87.5% | 0.12 |
| 7 | L.Wang | 🇨🇳 CHINA 1 | 28 | 85.7% | 0.14 |
| 8 | W.Wang | 🇨🇳 CHINA 1 | 28 | 85.7% | 0.14 |
| 9 | C.Ferlazzo | 🇮🇹 ITALIA 1 | 27 | 85.2% | 0.15 |
| 10 | G.Manara | 🇮🇹 ITALIA 1 | 27 | 85.2% | 0.15 |
| 11 | S.Paoluzi | 🇮🇹 ITALIA 1 | 13 | 84.6% | 0.15 |
| 12 | I.Saccavini | 🇮🇹 ITALIA 1 | 13 | 84.6% | 0.15 |
| 13 | A.Rosetta | 🇮🇹 ITALIA 1 | 16 | 81.2% | 0.19 |
| 14 | M.Vanuzzi | 🇮🇹 ITALIA 1 | 16 | 81.2% | 0.19 |
| 15 | I.Grumm | 🇦🇹 AUSTRIA | 25 | 76.0% | 0.40 |
| 16 | S.Terraneo | 🇦🇹 AUSTRIA | 25 | 76.0% | 0.40 |
| 17 | C.Arnolds | 🇳🇱 DUTCH WOMEN | 28 | 71.4% | 0.39 |
| 18 | W.Zwol | 🇳🇱 DUTCH WOMEN | 28 | 71.4% | 0.39 |
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 | S.Paoluzi | 🇮🇹 ITALIA 1 | 28 | +0.21 | +1.36 | +1.57 | · |
| 2 | I.Saccavini | 🇮🇹 ITALIA 1 | 28 | +0.21 | +1.36 | +1.57 | · |
| 3 | X.Feng | 🇨🇳 CHINA 1 | 56 | -0.04 | +0.88 | +0.83 | ▲2 |
| 4 | Y.Zhang | 🇨🇳 CHINA 1 | 56 | -0.04 | +0.88 | +0.83 | ▲2 |
| 5 | L.Wang | 🇨🇳 CHINA 1 | 56 | -0.40 | +1.20 | +0.80 | ▼2 |
| 6 | W.Wang | 🇨🇳 CHINA 1 | 56 | -0.40 | +1.20 | +0.80 | ▼2 |
| 7 | C.Ferlazzo | 🇮🇹 ITALIA 1 | 56 | +0.23 | -0.20 | +0.04 | · |
| 8 | G.Manara | 🇮🇹 ITALIA 1 | 56 | +0.23 | -0.20 | +0.04 | · |
| 9 | J.Pasman | 🇳🇱 DUTCH WOMEN | 56 | +0.37 | -0.60 | -0.23 | ▲4 |
| 10 | A.Simons | 🇳🇱 DUTCH WOMEN | 56 | +0.37 | -0.60 | -0.23 | ▲4 |
| 11 | C.Arnolds | 🇳🇱 DUTCH WOMEN | 56 | +0.07 | -0.33 | -0.26 | ▼2 |
| 12 | W.Zwol | 🇳🇱 DUTCH WOMEN | 56 | +0.07 | -0.33 | -0.26 | ▼2 |
| 13 | J.Smederevac | 🇦🇹 AUSTRIA | 56 | -0.18 | -0.46 | -0.64 | ▼2 |
| 14 | T.Weigkricht | 🇦🇹 AUSTRIA | 56 | -0.18 | -0.46 | -0.64 | ▼2 |
| 15 | A.Rosetta | 🇮🇹 ITALIA 1 | 28 | +0.21 | -0.88 | -0.67 | ▲2 |
| 16 | M.Vanuzzi | 🇮🇹 ITALIA 1 | 28 | +0.21 | -0.88 | -0.67 | ▲2 |
| 17 | I.Grumm | 🇦🇹 AUSTRIA | 56 | -0.26 | -0.74 | -1.00 | ▼2 |
| 18 | S.Terraneo | 🇦🇹 AUSTRIA | 56 | -0.26 | -0.74 | -1.00 | ▼2 |