Bali 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 | J.Meyers | 🇺🇸 USA2 | 192 | +0.66 | +126.0 |
| 2 | M.Zur-Campanile | 🇺🇸 USA2 | 192 | +0.66 | +126.0 |
| 3 | S.Brock | 🏴 ENGLAND | 192 | +0.42 | +81.0 |
| 4 | N.Smith | 🏴 ENGLAND | 192 | +0.42 | +81.0 |
| 5 | J.Levin | 🇺🇸 USA2 | 208 | +0.41 | +85.0 |
| 6 | J.Wolpert | 🇺🇸 USA2 | 208 | +0.41 | +85.0 |
| 7 | L.Wang | 🇨🇳 CHINA | 192 | +0.35 | +67.0 |
| 8 | W.Wang | 🇨🇳 CHINA | 192 | +0.35 | +67.0 |
| 9 | F.Brown | 🏴 ENGLAND | 176 | +0.34 | +60.0 |
| 10 | S.Stockdale | 🏴 ENGLAND | 176 | +0.34 | +60.0 |
| 11 | M.Michielsen | 🇳🇱 NETHERLANDS | 224 | +0.02 | +5.0 |
| 12 | M.Wortel | 🇳🇱 NETHERLANDS | 224 | +0.02 | +5.0 |
| 13 | H.Dhondy | 🏴 ENGLAND | 208 | +0.02 | +4.0 |
| 14 | N.Senior | 🏴 ENGLAND | 208 | +0.02 | +4.0 |
| 15 | J.Pasman | 🇳🇱 NETHERLANDS | 128 | -0.07 | -9.0 |
| 16 | A.Simons | 🇳🇱 NETHERLANDS | 128 | -0.07 | -9.0 |
| 17 | Y.Liu | 🇨🇳 CHINA | 192 | -0.09 | -18.0 |
| 18 | R.Yan | 🇨🇳 CHINA | 192 | -0.09 | -18.0 |
| 19 | C.Arnolds | 🇳🇱 NETHERLANDS | 160 | -0.26 | -41.0 |
| 20 | W.Van Zwol | 🇳🇱 NETHERLANDS | 160 | -0.26 | -41.0 |
| 21 | X.Feng | 🇨🇳 CHINA | 128 | -0.73 | -94.0 |
| 22 | Y.Zhang | 🇨🇳 CHINA | 128 | -0.73 | -94.0 |
| 23 | H.Eythorsdottir | 🇺🇸 USA2 | 176 | -0.76 | -133.0 |
| 24 | J.Seamon-Molson | 🇺🇸 USA2 | 176 | -0.76 | -133.0 |
| 25 | L.Deas | 🇺🇸 USA1 | 80 | +0.82 | +66.0 |
| 26 | B.Palmer | 🇺🇸 USA1 | 80 | +0.82 | +66.0 |
| 27 | A.Acar | 🇹🇷 TURKEY | 64 | +0.30 | +19.0 |
| 28 | S.Kuranoglu | 🇹🇷 TURKEY | 64 | +0.30 | +19.0 |
| 29 | V.Adut | 🇹🇷 TURKEY | 48 | +0.29 | +14.0 |
| 30 | B.Atalay | 🇹🇷 TURKEY | 48 | +0.29 | +14.0 |
| 31 | C.D'Ovidio | 🇫🇷 FRANCE | 64 | +0.23 | +15.0 |
| 32 | J.Neve | 🇫🇷 FRANCE | 64 | +0.23 | +15.0 |
| 33 | C.Baldysz | 🇵🇱 POLAND | 80 | +0.19 | +15.0 |
| 34 | A.Sarniak | 🇵🇱 POLAND | 80 | +0.19 | +15.0 |
| 35 | D.Kazmucha | 🇵🇱 POLAND | 80 | +0.14 | +11.0 |
| 36 | J.Zmuda | 🇵🇱 POLAND | 80 | +0.14 | +11.0 |
| 37 | D.Gaviard | 🇫🇷 FRANCE | 64 | +0.05 | +3.0 |
| 38 | V.Reess | 🇫🇷 FRANCE | 64 | +0.05 | +3.0 |
| 39 | O.Oymen | 🇹🇷 TURKEY | 80 | -0.45 | -36.0 |
| 40 | D.Yavas | 🇹🇷 TURKEY | 80 | -0.45 | -36.0 |
| 41 | B.Cronier | 🇫🇷 FRANCE | 64 | -0.64 | -41.0 |
| 42 | S.Willard | 🇫🇷 FRANCE | 64 | -0.64 | -41.0 |
| 43 | I.Levitina | 🇺🇸 USA1 | 80 | -0.69 | -55.0 |
| 44 | K.Sanborn | 🇺🇸 USA1 | 80 | -0.69 | -55.0 |
| 45 | K.Dufrat | 🇵🇱 POLAND | 32 | -2.09 | -67.0 |
| 46 | J.Taczewska | 🇵🇱 POLAND | 32 | -2.09 | -67.0 |
| 47 | J.Radin | 🇺🇸 USA1 | 32 | -2.41 | -77.0 |
| 48 | B.Sonsini | 🇺🇸 USA1 | 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 | X.Feng | 🇨🇳 CHINA | 25 | 96.0% | 0.04 |
| 2 | Y.Liu | 🇨🇳 CHINA | 41 | 92.7% | 0.07 |
| 3 | H.Eythorsdottir | 🇺🇸 USA2 | 44 | 90.9% | 0.16 |
| 4 | N.Senior | 🏴 ENGLAND | 53 | 90.6% | 0.09 |
| 5 | M.Wortel | 🇳🇱 NETHERLANDS | 64 | 89.1% | 0.16 |
| 6 | J.Levin | 🇺🇸 USA2 | 43 | 88.4% | 0.12 |
| 7 | A.Simons | 🇳🇱 NETHERLANDS | 25 | 88.0% | 0.12 |
| 8 | C.Arnolds | 🇳🇱 NETHERLANDS | 51 | 86.3% | 0.16 |
| 9 | W.Van Zwol | 🇳🇱 NETHERLANDS | 29 | 86.2% | 0.17 |
| 10 | S.Stockdale | 🏴 ENGLAND | 50 | 86.0% | 0.16 |
| 11 | W.Wang | 🇨🇳 CHINA | 42 | 83.3% | 0.17 |
| 12 | M.Zur-Campanile | 🇺🇸 USA2 | 47 | 83.0% | 0.21 |
| 13 | L.Wang | 🇨🇳 CHINA | 58 | 82.8% | 0.19 |
| 14 | J.Pasman | 🇳🇱 NETHERLANDS | 39 | 82.1% | 0.26 |
| 15 | J.Meyers | 🇺🇸 USA2 | 52 | 80.8% | 0.21 |
| 16 | J.Wolpert | 🇺🇸 USA2 | 46 | 80.4% | 0.20 |
| 17 | J.Seamon-Molson | 🇺🇸 USA2 | 35 | 80.0% | 0.20 |
| 18 | Y.Zhang | 🇨🇳 CHINA | 34 | 79.4% | 0.23 |
| 19 | H.Dhondy | 🏴 ENGLAND | 52 | 78.8% | 0.31 |
| 20 | F.Brown | 🏴 ENGLAND | 52 | 75.0% | 0.27 |
| 21 | N.Smith | 🏴 ENGLAND | 47 | 72.3% | 0.30 |
| 22 | S.Brock | 🏴 ENGLAND | 46 | 71.7% | 0.30 |
| 23 | M.Michielsen | 🇳🇱 NETHERLANDS | 52 | 71.2% | 0.31 |
| 24 | R.Yan | 🇨🇳 CHINA | 47 | 70.2% | 0.40 |
| 25 | B.Sonsini | 🇺🇸 USA1 | 7 | 100.0% | 0.00 |
| 26 | C.Baldysz | 🇵🇱 POLAND | 15 | 93.3% | 0.07 |
| 27 | B.Cronier | 🇫🇷 FRANCE | 13 | 92.3% | 0.08 |
| 28 | D.Yavas | 🇹🇷 TURKEY | 13 | 92.3% | 0.15 |
| 29 | S.Kuranoglu | 🇹🇷 TURKEY | 12 | 91.7% | 0.08 |
| 30 | J.Radin | 🇺🇸 USA1 | 11 | 90.9% | 0.09 |
| 31 | J.Taczewska | 🇵🇱 POLAND | 10 | 90.0% | 0.10 |
| 32 | B.Palmer | 🇺🇸 USA1 | 14 | 85.7% | 0.14 |
| 33 | J.Zmuda | 🇵🇱 POLAND | 13 | 84.6% | 0.15 |
| 34 | L.Deas | 🇺🇸 USA1 | 27 | 81.5% | 0.18 |
| 35 | A.Sarniak | 🇵🇱 POLAND | 26 | 80.8% | 0.23 |
| 36 | K.Dufrat | 🇵🇱 POLAND | 10 | 80.0% | 0.30 |
| 37 | D.Kazmucha | 🇵🇱 POLAND | 31 | 77.4% | 0.29 |
| 38 | A.Acar | 🇹🇷 TURKEY | 22 | 77.3% | 0.23 |
| 39 | J.Neve | 🇫🇷 FRANCE | 13 | 76.9% | 0.23 |
| 40 | C.D'Ovidio | 🇫🇷 FRANCE | 21 | 76.2% | 0.24 |
| 41 | I.Levitina | 🇺🇸 USA1 | 16 | 75.0% | 0.31 |
| 42 | K.Sanborn | 🇺🇸 USA1 | 16 | 75.0% | 0.31 |
| 43 | V.Reess | 🇫🇷 FRANCE | 22 | 72.7% | 0.32 |
| 44 | B.Atalay | 🇹🇷 TURKEY | 14 | 71.4% | 0.36 |
| 45 | O.Oymen | 🇹🇷 TURKEY | 20 | 70.0% | 0.35 |
| 46 | D.Gaviard | 🇫🇷 FRANCE | 15 | 66.7% | 0.40 |
| 47 | S.Willard | 🇫🇷 FRANCE | 12 | 66.7% | 0.42 |
| 48 | V.Adut | 🇹🇷 TURKEY | 12 | 50.0% | 0.58 |
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 | F.Brown | 🏴 ENGLAND | 32 | 87.5% | 0.12 |
| 2 | M.Zur-Campanile | 🇺🇸 USA2 | 39 | 87.2% | 0.18 |
| 3 | J.Wolpert | 🇺🇸 USA2 | 58 | 81.0% | 0.21 |
| 4 | J.Levin | 🇺🇸 USA2 | 58 | 81.0% | 0.22 |
| 5 | S.Stockdale | 🏴 ENGLAND | 39 | 79.5% | 0.26 |
| 6 | J.Meyers | 🇺🇸 USA2 | 53 | 79.2% | 0.30 |
| 7 | Y.Liu | 🇨🇳 CHINA | 53 | 77.4% | 0.28 |
| 8 | J.Seamon-Molson | 🇺🇸 USA2 | 48 | 77.1% | 0.33 |
| 9 | N.Smith | 🏴 ENGLAND | 51 | 76.5% | 0.26 |
| 10 | W.Wang | 🇨🇳 CHINA | 38 | 76.3% | 0.34 |
| 11 | Y.Zhang | 🇨🇳 CHINA | 37 | 75.7% | 0.35 |
| 12 | R.Yan | 🇨🇳 CHINA | 48 | 75.0% | 0.38 |
| 13 | A.Simons | 🇳🇱 NETHERLANDS | 27 | 74.1% | 0.30 |
| 14 | M.Wortel | 🇳🇱 NETHERLANDS | 52 | 73.1% | 0.35 |
| 15 | H.Dhondy | 🏴 ENGLAND | 47 | 72.3% | 0.34 |
| 16 | W.Van Zwol | 🇳🇱 NETHERLANDS | 39 | 71.8% | 0.33 |
| 17 | X.Feng | 🇨🇳 CHINA | 31 | 71.0% | 0.42 |
| 18 | S.Brock | 🏴 ENGLAND | 47 | 70.2% | 0.36 |
| 19 | C.Arnolds | 🇳🇱 NETHERLANDS | 39 | 69.2% | 0.36 |
| 20 | M.Michielsen | 🇳🇱 NETHERLANDS | 52 | 69.2% | 0.39 |
| 21 | L.Wang | 🇨🇳 CHINA | 54 | 66.7% | 0.43 |
| 22 | J.Pasman | 🇳🇱 NETHERLANDS | 36 | 66.7% | 0.44 |
| 23 | H.Eythorsdottir | 🇺🇸 USA2 | 49 | 63.3% | 0.53 |
| 24 | N.Senior | 🏴 ENGLAND | 54 | 57.4% | 0.54 |
| 25 | J.Radin | 🇺🇸 USA1 | 7 | 100.0% | 0.00 |
| 26 | B.Cronier | 🇫🇷 FRANCE | 12 | 91.7% | 0.08 |
| 27 | K.Dufrat | 🇵🇱 POLAND | 8 | 87.5% | 0.38 |
| 28 | I.Levitina | 🇺🇸 USA1 | 20 | 85.0% | 0.15 |
| 29 | V.Adut | 🇹🇷 TURKEY | 13 | 84.6% | 0.15 |
| 30 | S.Kuranoglu | 🇹🇷 TURKEY | 12 | 83.3% | 0.17 |
| 31 | A.Sarniak | 🇵🇱 POLAND | 22 | 81.8% | 0.23 |
| 32 | C.D'Ovidio | 🇫🇷 FRANCE | 16 | 81.2% | 0.19 |
| 33 | V.Reess | 🇫🇷 FRANCE | 10 | 80.0% | 0.20 |
| 34 | O.Oymen | 🇹🇷 TURKEY | 25 | 80.0% | 0.24 |
| 35 | K.Sanborn | 🇺🇸 USA1 | 28 | 78.6% | 0.25 |
| 36 | C.Baldysz | 🇵🇱 POLAND | 17 | 76.5% | 0.23 |
| 37 | A.Acar | 🇹🇷 TURKEY | 17 | 76.5% | 0.23 |
| 38 | B.Atalay | 🇹🇷 TURKEY | 8 | 75.0% | 0.62 |
| 39 | S.Willard | 🇫🇷 FRANCE | 27 | 74.1% | 0.30 |
| 40 | D.Kazmucha | 🇵🇱 POLAND | 22 | 72.7% | 0.36 |
| 41 | J.Zmuda | 🇵🇱 POLAND | 14 | 71.4% | 0.29 |
| 42 | D.Yavas | 🇹🇷 TURKEY | 21 | 71.4% | 0.33 |
| 43 | J.Neve | 🇫🇷 FRANCE | 14 | 71.4% | 0.43 |
| 44 | D.Gaviard | 🇫🇷 FRANCE | 17 | 70.6% | 0.35 |
| 45 | L.Deas | 🇺🇸 USA1 | 21 | 57.1% | 0.48 |
| 46 | B.Sonsini | 🇺🇸 USA1 | 7 | 57.1% | 0.57 |
| 47 | B.Palmer | 🇺🇸 USA1 | 16 | 56.2% | 0.50 |
| 48 | J.Taczewska | 🇵🇱 POLAND | 4 | 50.0% | 0.50 |
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 | Y.Liu | 🇨🇳 CHINA | 88 | 95.5% | 0.04 |
| 2 | R.Yan | 🇨🇳 CHINA | 88 | 95.5% | 0.04 |
| 3 | H.Eythorsdottir | 🇺🇸 USA2 | 79 | 89.9% | 0.11 |
| 4 | J.Seamon-Molson | 🇺🇸 USA2 | 79 | 89.9% | 0.11 |
| 5 | M.Michielsen | 🇳🇱 NETHERLANDS | 116 | 88.8% | 0.15 |
| 6 | M.Wortel | 🇳🇱 NETHERLANDS | 116 | 88.8% | 0.15 |
| 7 | L.Wang | 🇨🇳 CHINA | 100 | 88.0% | 0.12 |
| 8 | W.Wang | 🇨🇳 CHINA | 100 | 88.0% | 0.12 |
| 9 | J.Meyers | 🇺🇸 USA2 | 99 | 87.9% | 0.16 |
| 10 | M.Zur-Campanile | 🇺🇸 USA2 | 99 | 87.9% | 0.16 |
| 11 | H.Dhondy | 🏴 ENGLAND | 105 | 87.6% | 0.17 |
| 12 | N.Senior | 🏴 ENGLAND | 105 | 87.6% | 0.17 |
| 13 | S.Brock | 🏴 ENGLAND | 93 | 84.9% | 0.18 |
| 14 | N.Smith | 🏴 ENGLAND | 93 | 84.9% | 0.18 |
| 15 | J.Levin | 🇺🇸 USA2 | 89 | 84.3% | 0.17 |
| 16 | J.Wolpert | 🇺🇸 USA2 | 89 | 84.3% | 0.17 |
| 17 | X.Feng | 🇨🇳 CHINA | 59 | 83.1% | 0.25 |
| 18 | Y.Zhang | 🇨🇳 CHINA | 59 | 83.1% | 0.25 |
| 19 | J.Pasman | 🇳🇱 NETHERLANDS | 64 | 82.8% | 0.20 |
| 20 | A.Simons | 🇳🇱 NETHERLANDS | 64 | 82.8% | 0.20 |
| 21 | F.Brown | 🏴 ENGLAND | 102 | 82.4% | 0.20 |
| 22 | S.Stockdale | 🏴 ENGLAND | 102 | 82.4% | 0.20 |
| 23 | C.Arnolds | 🇳🇱 NETHERLANDS | 80 | 81.2% | 0.28 |
| 24 | W.Van Zwol | 🇳🇱 NETHERLANDS | 80 | 81.2% | 0.28 |
| 25 | C.Baldysz | 🇵🇱 POLAND | 41 | 95.1% | 0.10 |
| 26 | A.Sarniak | 🇵🇱 POLAND | 41 | 95.1% | 0.10 |
| 27 | I.Levitina | 🇺🇸 USA1 | 32 | 93.8% | 0.06 |
| 28 | K.Sanborn | 🇺🇸 USA1 | 32 | 93.8% | 0.06 |
| 29 | B.Cronier | 🇫🇷 FRANCE | 25 | 92.0% | 0.08 |
| 30 | S.Willard | 🇫🇷 FRANCE | 25 | 92.0% | 0.08 |
| 31 | D.Gaviard | 🇫🇷 FRANCE | 37 | 89.2% | 0.14 |
| 32 | V.Reess | 🇫🇷 FRANCE | 37 | 89.2% | 0.14 |
| 33 | D.Kazmucha | 🇵🇱 POLAND | 44 | 88.6% | 0.11 |
| 34 | J.Zmuda | 🇵🇱 POLAND | 44 | 88.6% | 0.11 |
| 35 | A.Acar | 🇹🇷 TURKEY | 34 | 88.2% | 0.18 |
| 36 | S.Kuranoglu | 🇹🇷 TURKEY | 34 | 88.2% | 0.18 |
| 37 | O.Oymen | 🇹🇷 TURKEY | 33 | 87.9% | 0.21 |
| 38 | D.Yavas | 🇹🇷 TURKEY | 33 | 87.9% | 0.21 |
| 39 | C.D'Ovidio | 🇫🇷 FRANCE | 34 | 85.3% | 0.27 |
| 40 | J.Neve | 🇫🇷 FRANCE | 34 | 85.3% | 0.27 |
| 41 | V.Adut | 🇹🇷 TURKEY | 26 | 84.6% | 0.31 |
| 42 | B.Atalay | 🇹🇷 TURKEY | 26 | 84.6% | 0.31 |
| 43 | L.Deas | 🇺🇸 USA1 | 41 | 80.5% | 0.34 |
| 44 | B.Palmer | 🇺🇸 USA1 | 41 | 80.5% | 0.34 |
| 45 | J.Radin | 🇺🇸 USA1 | 18 | 66.7% | 0.50 |
| 46 | B.Sonsini | 🇺🇸 USA1 | 18 | 66.7% | 0.50 |
| 47 | K.Dufrat | 🇵🇱 POLAND | 20 | 65.0% | 0.35 |
| 48 | J.Taczewska | 🇵🇱 POLAND | 20 | 65.0% | 0.35 |
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 | J.Meyers | 🇺🇸 USA2 | 192 | +0.02 | +0.39 | +0.41 | ▲2 |
| 2 | M.Zur-Campanile | 🇺🇸 USA2 | 192 | +0.02 | +0.39 | +0.41 | ▲2 |
| 3 | L.Wang | 🇨🇳 CHINA | 224 | +0.08 | +0.29 | +0.37 | ▲4 |
| 4 | W.Wang | 🇨🇳 CHINA | 224 | +0.08 | +0.29 | +0.37 | ▲4 |
| 5 | S.Brock | 🏴 ENGLAND | 192 | -0.35 | +0.71 | +0.36 | ▼4 |
| 6 | N.Smith | 🏴 ENGLAND | 192 | -0.35 | +0.71 | +0.36 | ▼4 |
| 7 | J.Pasman | 🇳🇱 NETHERLANDS | 128 | -0.11 | +0.31 | +0.19 | ▼2 |
| 8 | A.Simons | 🇳🇱 NETHERLANDS | 128 | -0.11 | +0.31 | +0.19 | ▼2 |
| 9 | J.Levin | 🇺🇸 USA2 | 208 | -0.08 | +0.24 | +0.16 | · |
| 10 | J.Wolpert | 🇺🇸 USA2 | 208 | -0.08 | +0.24 | +0.16 | · |
| 11 | H.Eythorsdottir | 🇺🇸 USA2 | 176 | -0.05 | +0.11 | +0.06 | · |
| 12 | J.Seamon-Molson | 🇺🇸 USA2 | 176 | -0.05 | +0.11 | +0.06 | · |
| 13 | H.Dhondy | 🏴 ENGLAND | 208 | +0.08 | -0.04 | +0.04 | ▲2 |
| 14 | N.Senior | 🏴 ENGLAND | 208 | +0.08 | -0.04 | +0.04 | ▲2 |
| 15 | C.Arnolds | 🇳🇱 NETHERLANDS | 192 | +0.05 | -0.06 | -0.01 | ▲2 |
| 16 | W.Van Zwol | 🇳🇱 NETHERLANDS | 192 | +0.05 | -0.06 | -0.01 | ▲2 |
| 17 | F.Brown | 🏴 ENGLAND | 176 | -0.19 | +0.10 | -0.09 | ▼4 |
| 18 | S.Stockdale | 🏴 ENGLAND | 176 | -0.19 | +0.10 | -0.09 | ▼4 |
| 19 | M.Michielsen | 🇳🇱 NETHERLANDS | 256 | -0.07 | -0.14 | -0.21 | · |
| 20 | M.Wortel | 🇳🇱 NETHERLANDS | 256 | -0.07 | -0.14 | -0.21 | · |
| 21 | Y.Liu | 🇨🇳 CHINA | 224 | +0.03 | -0.43 | -0.39 | · |
| 22 | R.Yan | 🇨🇳 CHINA | 224 | +0.03 | -0.43 | -0.39 | · |
| 23 | X.Feng | 🇨🇳 CHINA | 128 | +0.22 | -0.71 | -0.49 | · |
| 24 | Y.Zhang | 🇨🇳 CHINA | 128 | +0.22 | -0.71 | -0.49 | · |