Salsomaggiore 2025 — 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 | M.Andonov | 🇧🇬 BULGARIA | 126 | +0.66 | +83.0 |
| 2 | G.Percario | 🇮🇹 ITALY | 126 | +0.55 | +69.0 |
| 3 | P.Bedouet | 🇫🇷 FRANCE | 140 | +0.54 | +75.0 |
| 4 | C.Deheeger | 🇫🇷 FRANCE | 140 | +0.54 | +75.0 |
| 5 | G.Donati | 🇮🇹 ITALY | 154 | +0.53 | +82.0 |
| 6 | T.Pavlov | 🇧🇬 BULGARIA | 140 | +0.48 | +67.0 |
| 7 | Z.Chu | 🇨🇳 CHINA | 126 | +0.10 | +13.0 |
| 8 | S.Scata | 🇮🇹 ITALY | 112 | +0.07 | +8.0 |
| 9 | H.Gao | 🇨🇳 CHINA | 70 | +0.01 | +1.0 |
| 10 | L.Bellicaud | 🇫🇷 FRANCE | 112 | -0.02 | -2.0 |
| 11 | T.Guichet | 🇫🇷 FRANCE | 112 | -0.02 | -2.0 |
| 12 | Z.Ferov | 🇧🇬 BULGARIA | 140 | -0.03 | -4.0 |
| 13 | A.Manganella | 🇮🇹 ITALY | 84 | -0.06 | -5.0 |
| 14 | D.Lazarov | 🇧🇬 BULGARIA | 126 | -0.10 | -12.0 |
| 15 | G.Giubilo | 🇮🇹 ITALY | 70 | -0.14 | -10.0 |
| 16 | R.Sau | 🇮🇹 ITALY | 70 | -0.14 | -10.0 |
| 17 | Q.Tan | 🇨🇳 CHINA | 112 | -0.31 | -35.0 |
| 18 | C.Li | 🇨🇳 CHINA | 140 | -0.67 | -94.0 |
| 19 | X.Liu | 🇨🇳 CHINA | 112 | -0.79 | -88.0 |
| 20 | E.Olla | 🇱🇻 LATVIA | 28 | +1.29 | +36.0 |
| 21 | T.Straume | 🇱🇻 LATVIA | 28 | +1.29 | +36.0 |
| 22 | R.Bloch | 🇫🇷 FRANCE | 56 | +1.05 | +59.0 |
| 23 | E.Vallet | 🇫🇷 FRANCE | 56 | +1.05 | +59.0 |
| 24 | J.Bereza | 🇵🇱 POLAND | 42 | +0.48 | +20.0 |
| 25 | B.Kula | 🇵🇱 POLAND | 42 | +0.48 | +20.0 |
| 26 | Y.Li | 🇨🇳 CHINA | 56 | -0.09 | -5.0 |
| 27 | M.Balodis | 🇱🇻 LATVIA | 42 | -0.29 | -12.0 |
| 28 | J.Ilzins | 🇱🇻 LATVIA | 42 | -0.29 | -12.0 |
| 29 | A.Momov | 🇧🇬 BULGARIA | 28 | -0.29 | -8.0 |
| 30 | ACHARYA SHUBHAM | 🇮🇳 INDIA | 28 | -0.61 | -17.0 |
| 31 | S.Roy | 🇮🇳 INDIA | 28 | -0.61 | -17.0 |
| 32 | J.Andruszkiewicz | 🇵🇱 POLAND | 14 | -0.71 | -10.0 |
| 33 | E.Sucharda | 🇵🇱 POLAND | 14 | -0.71 | -10.0 |
| 34 | D.Jansons | 🇱🇻 LATVIA | 14 | -0.79 | -11.0 |
| 35 | R.Kreitals | 🇱🇻 LATVIA | 14 | -0.79 | -11.0 |
| 36 | S.Chatterjee | 🇮🇳 INDIA | 42 | -0.83 | -35.0 |
| 37 | P.Dey | 🇮🇳 INDIA | 42 | -0.83 | -35.0 |
| 38 | B.Bejenka | 🇵🇱 POLAND | 28 | -0.96 | -27.0 |
| 39 | T.Kielbasa | 🇵🇱 POLAND | 28 | -0.96 | -27.0 |
| 40 | R.Emmers | 🇳🇱 NETHERLANDS | 28 | -1.14 | -32.0 |
| 41 | W.Klarenbeek | 🇳🇱 NETHERLANDS | 28 | -1.14 | -32.0 |
| 42 | A.Boonstra | 🇳🇱 NETHERLANDS | 28 | -1.36 | -38.0 |
| 43 | B.Van Noort | 🇳🇱 NETHERLANDS | 28 | -1.36 | -38.0 |
| 44 | S.Bar | 🇮🇳 INDIA | 14 | -2.29 | -32.0 |
| 45 | S.Kar | 🇮🇳 INDIA | 14 | -2.29 | -32.0 |
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 | T.Pavlov | 🇧🇬 BULGARIA | 13 | 100.0% | 0.00 |
| 2 | C.Deheeger | 🇫🇷 FRANCE | 16 | 100.0% | 0.00 |
| 3 | P.Bedouet | 🇫🇷 FRANCE | 11 | 90.9% | 0.09 |
| 4 | G.Giubilo | 🇮🇹 ITALY | 9 | 88.9% | 0.11 |
| 5 | S.Scata | 🇮🇹 ITALY | 25 | 88.0% | 0.12 |
| 6 | A.Manganella | 🇮🇹 ITALY | 16 | 87.5% | 0.19 |
| 7 | T.Guichet | 🇫🇷 FRANCE | 24 | 87.5% | 0.25 |
| 8 | R.Sau | 🇮🇹 ITALY | 7 | 85.7% | 0.14 |
| 9 | C.Li | 🇨🇳 CHINA | 21 | 85.7% | 0.14 |
| 10 | M.Andonov | 🇧🇬 BULGARIA | 13 | 84.6% | 0.15 |
| 11 | D.Lazarov | 🇧🇬 BULGARIA | 20 | 80.0% | 0.30 |
| 12 | Z.Chu | 🇨🇳 CHINA | 24 | 79.2% | 0.21 |
| 13 | L.Bellicaud | 🇫🇷 FRANCE | 17 | 76.5% | 0.23 |
| 14 | Q.Tan | 🇨🇳 CHINA | 15 | 73.3% | 0.47 |
| 15 | Z.Ferov | 🇧🇬 BULGARIA | 22 | 72.7% | 0.27 |
| 16 | G.Donati | 🇮🇹 ITALY | 11 | 63.6% | 0.36 |
| 17 | G.Percario | 🇮🇹 ITALY | 5 | 60.0% | 0.40 |
| 18 | H.Gao | 🇨🇳 CHINA | 7 | 57.1% | 0.57 |
| 19 | X.Liu | 🇨🇳 CHINA | 8 | 50.0% | 0.50 |
| 20 | S.Kar | 🇮🇳 INDIA | 2 | 100.0% | 0.00 |
| 21 | ACHARYA SHUBHAM | 🇮🇳 INDIA | 4 | 100.0% | 0.00 |
| 22 | D.Jansons | 🇱🇻 LATVIA | 1 | 100.0% | 0.00 |
| 23 | W.Klarenbeek | 🇳🇱 NETHERLANDS | 2 | 100.0% | 0.00 |
| 24 | A.Boonstra | 🇳🇱 NETHERLANDS | 1 | 100.0% | 0.00 |
| 25 | B.Van Noort | 🇳🇱 NETHERLANDS | 5 | 100.0% | 0.00 |
| 26 | S.Chatterjee | 🇮🇳 INDIA | 4 | 100.0% | 0.00 |
| 27 | B.Kula | 🇵🇱 POLAND | 8 | 87.5% | 0.12 |
| 28 | T.Straume | 🇱🇻 LATVIA | 7 | 85.7% | 0.14 |
| 29 | E.Olla | 🇱🇻 LATVIA | 5 | 80.0% | 0.20 |
| 30 | R.Bloch | 🇫🇷 FRANCE | 9 | 77.8% | 0.33 |
| 31 | T.Kielbasa | 🇵🇱 POLAND | 4 | 75.0% | 0.25 |
| 32 | A.Momov | 🇧🇬 BULGARIA | 4 | 75.0% | 0.25 |
| 33 | E.Vallet | 🇫🇷 FRANCE | 6 | 66.7% | 0.67 |
| 34 | R.Kreitals | 🇱🇻 LATVIA | 5 | 60.0% | 0.40 |
| 35 | J.Bereza | 🇵🇱 POLAND | 7 | 57.1% | 0.43 |
| 36 | Y.Li | 🇨🇳 CHINA | 7 | 57.1% | 0.43 |
| 37 | S.Bar | 🇮🇳 INDIA | 2 | 50.0% | 0.50 |
| 38 | R.Emmers | 🇳🇱 NETHERLANDS | 4 | 50.0% | 0.50 |
| 39 | P.Dey | 🇮🇳 INDIA | 4 | 50.0% | 0.50 |
| 40 | S.Roy | 🇮🇳 INDIA | 2 | 50.0% | 1.00 |
| 41 | B.Bejenka | 🇵🇱 POLAND | 1 | 0.0% | 1.00 |
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 | G.Percario | 🇮🇹 ITALY | 6 | 100.0% | 0.00 |
| 2 | Z.Ferov | 🇧🇬 BULGARIA | 27 | 92.6% | 0.11 |
| 3 | H.Gao | 🇨🇳 CHINA | 10 | 90.0% | 0.10 |
| 4 | Q.Tan | 🇨🇳 CHINA | 16 | 87.5% | 0.12 |
| 5 | X.Liu | 🇨🇳 CHINA | 8 | 87.5% | 0.12 |
| 6 | Z.Chu | 🇨🇳 CHINA | 14 | 85.7% | 0.29 |
| 7 | L.Bellicaud | 🇫🇷 FRANCE | 13 | 84.6% | 0.23 |
| 8 | D.Lazarov | 🇧🇬 BULGARIA | 24 | 83.3% | 0.17 |
| 9 | S.Scata | 🇮🇹 ITALY | 21 | 81.0% | 0.24 |
| 10 | G.Donati | 🇮🇹 ITALY | 10 | 80.0% | 0.20 |
| 11 | C.Deheeger | 🇫🇷 FRANCE | 10 | 80.0% | 0.30 |
| 12 | P.Bedouet | 🇫🇷 FRANCE | 19 | 78.9% | 0.21 |
| 13 | G.Giubilo | 🇮🇹 ITALY | 17 | 70.6% | 0.29 |
| 14 | T.Guichet | 🇫🇷 FRANCE | 16 | 68.8% | 0.31 |
| 15 | C.Li | 🇨🇳 CHINA | 19 | 68.4% | 0.37 |
| 16 | R.Sau | 🇮🇹 ITALY | 9 | 66.7% | 0.33 |
| 17 | A.Manganella | 🇮🇹 ITALY | 18 | 61.1% | 0.44 |
| 18 | M.Andonov | 🇧🇬 BULGARIA | 10 | 60.0% | 0.60 |
| 19 | T.Pavlov | 🇧🇬 BULGARIA | 6 | 33.3% | 0.67 |
| 20 | B.Bejenka | 🇵🇱 POLAND | 6 | 100.0% | 0.00 |
| 21 | R.Bloch | 🇫🇷 FRANCE | 5 | 100.0% | 0.00 |
| 22 | E.Vallet | 🇫🇷 FRANCE | 8 | 100.0% | 0.00 |
| 23 | A.Momov | 🇧🇬 BULGARIA | 1 | 100.0% | 0.00 |
| 24 | E.Olla | 🇱🇻 LATVIA | 9 | 100.0% | 0.00 |
| 25 | S.Kar | 🇮🇳 INDIA | 5 | 100.0% | 0.00 |
| 26 | J.Bereza | 🇵🇱 POLAND | 6 | 100.0% | 0.00 |
| 27 | B.Van Noort | 🇳🇱 NETHERLANDS | 4 | 100.0% | 0.00 |
| 28 | T.Straume | 🇱🇻 LATVIA | 7 | 85.7% | 0.14 |
| 29 | B.Kula | 🇵🇱 POLAND | 7 | 85.7% | 0.14 |
| 30 | ACHARYA SHUBHAM | 🇮🇳 INDIA | 4 | 75.0% | 0.25 |
| 31 | S.Roy | 🇮🇳 INDIA | 4 | 75.0% | 0.25 |
| 32 | R.Emmers | 🇳🇱 NETHERLANDS | 4 | 75.0% | 0.25 |
| 33 | A.Boonstra | 🇳🇱 NETHERLANDS | 4 | 75.0% | 0.25 |
| 34 | T.Kielbasa | 🇵🇱 POLAND | 3 | 66.7% | 0.33 |
| 35 | S.Chatterjee | 🇮🇳 INDIA | 3 | 66.7% | 0.33 |
| 36 | P.Dey | 🇮🇳 INDIA | 3 | 66.7% | 0.67 |
| 37 | S.Bar | 🇮🇳 INDIA | 5 | 60.0% | 0.40 |
| 38 | Y.Li | 🇨🇳 CHINA | 5 | 60.0% | 0.40 |
| 39 | R.Kreitals | 🇱🇻 LATVIA | 7 | 57.1% | 0.43 |
| 40 | W.Klarenbeek | 🇳🇱 NETHERLANDS | 4 | 50.0% | 0.50 |
| 41 | D.Jansons | 🇱🇻 LATVIA | 1 | 0.0% | 1.00 |
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.Andonov | 🇧🇬 BULGARIA | 26 | 96.2% | 0.08 |
| 2 | T.Pavlov | 🇧🇬 BULGARIA | 26 | 96.2% | 0.08 |
| 3 | G.Donati | 🇮🇹 ITALY | 22 | 95.5% | 0.09 |
| 4 | S.Scata | 🇮🇹 ITALY | 44 | 93.2% | 0.07 |
| 5 | G.Percario | 🇮🇹 ITALY | 13 | 92.3% | 0.15 |
| 6 | A.Manganella | 🇮🇹 ITALY | 35 | 91.4% | 0.09 |
| 7 | X.Liu | 🇨🇳 CHINA | 20 | 90.0% | 0.10 |
| 8 | Q.Tan | 🇨🇳 CHINA | 28 | 85.7% | 0.18 |
| 9 | P.Bedouet | 🇫🇷 FRANCE | 27 | 85.2% | 0.15 |
| 10 | C.Deheeger | 🇫🇷 FRANCE | 27 | 85.2% | 0.15 |
| 11 | Z.Ferov | 🇧🇬 BULGARIA | 46 | 84.8% | 0.15 |
| 12 | H.Gao | 🇨🇳 CHINA | 23 | 82.6% | 0.26 |
| 13 | D.Lazarov | 🇧🇬 BULGARIA | 38 | 81.6% | 0.18 |
| 14 | L.Bellicaud | 🇫🇷 FRANCE | 41 | 80.5% | 0.22 |
| 15 | T.Guichet | 🇫🇷 FRANCE | 41 | 80.5% | 0.22 |
| 16 | G.Giubilo | 🇮🇹 ITALY | 16 | 68.8% | 0.38 |
| 17 | R.Sau | 🇮🇹 ITALY | 16 | 68.8% | 0.38 |
| 18 | C.Li | 🇨🇳 CHINA | 39 | 66.7% | 0.36 |
| 19 | Z.Chu | 🇨🇳 CHINA | 38 | 63.2% | 0.45 |
| 20 | A.Momov | 🇧🇬 BULGARIA | 8 | 100.0% | 0.00 |
| 21 | E.Olla | 🇱🇻 LATVIA | 12 | 100.0% | 0.00 |
| 22 | T.Straume | 🇱🇻 LATVIA | 12 | 100.0% | 0.00 |
| 23 | D.Jansons | 🇱🇻 LATVIA | 6 | 100.0% | 0.00 |
| 24 | R.Kreitals | 🇱🇻 LATVIA | 6 | 100.0% | 0.00 |
| 25 | R.Emmers | 🇳🇱 NETHERLANDS | 6 | 100.0% | 0.00 |
| 26 | W.Klarenbeek | 🇳🇱 NETHERLANDS | 6 | 100.0% | 0.00 |
| 27 | A.Boonstra | 🇳🇱 NETHERLANDS | 6 | 100.0% | 0.00 |
| 28 | B.Van Noort | 🇳🇱 NETHERLANDS | 6 | 100.0% | 0.00 |
| 29 | R.Bloch | 🇫🇷 FRANCE | 15 | 93.3% | 0.07 |
| 30 | E.Vallet | 🇫🇷 FRANCE | 15 | 93.3% | 0.07 |
| 31 | ACHARYA SHUBHAM | 🇮🇳 INDIA | 6 | 83.3% | 0.17 |
| 32 | S.Roy | 🇮🇳 INDIA | 6 | 83.3% | 0.17 |
| 33 | Y.Li | 🇨🇳 CHINA | 16 | 81.2% | 0.25 |
| 34 | B.Bejenka | 🇵🇱 POLAND | 5 | 80.0% | 0.20 |
| 35 | T.Kielbasa | 🇵🇱 POLAND | 5 | 80.0% | 0.20 |
| 36 | S.Bar | 🇮🇳 INDIA | 4 | 75.0% | 0.25 |
| 37 | S.Kar | 🇮🇳 INDIA | 4 | 75.0% | 0.25 |
| 38 | S.Chatterjee | 🇮🇳 INDIA | 8 | 75.0% | 0.25 |
| 39 | P.Dey | 🇮🇳 INDIA | 8 | 75.0% | 0.25 |
| 40 | J.Bereza | 🇵🇱 POLAND | 15 | 73.3% | 0.27 |
| 41 | B.Kula | 🇵🇱 POLAND | 15 | 73.3% | 0.27 |
Bidding activity↑ top
Share of a player’s bids that were not a pass — contract bids, doubles and redoubles, over every auction they sat in. High = active, low = quiet. Players with few boards are greyed. Click a column header to sort; filter by name or team.
| # | Player | Team | Bids | Not pass | Active % |
|---|---|---|---|---|---|
| 1 | G.Giubilo | 🇮🇹 ITALY | 217 | 114 | 52.5% |
| 2 | R.Sau | 🇮🇹 ITALY | 227 | 113 | 49.8% |
| 3 | P.Bedouet | 🇫🇷 FRANCE | 443 | 208 | 47.0% |
| 4 | Z.Ferov | 🇧🇬 BULGARIA | 396 | 183 | 46.2% |
| 5 | C.Deheeger | 🇫🇷 FRANCE | 429 | 197 | 45.9% |
| 6 | G.Percario | 🇮🇹 ITALY | 387 | 177 | 45.7% |
| 7 | L.Bellicaud | 🇫🇷 FRANCE | 350 | 160 | 45.7% |
| 8 | T.Guichet | 🇫🇷 FRANCE | 357 | 156 | 43.7% |
| 9 | D.Lazarov | 🇧🇬 BULGARIA | 370 | 156 | 42.2% |
| 10 | A.Manganella | 🇮🇹 ITALY | 275 | 116 | 42.2% |
| 11 | G.Donati | 🇮🇹 ITALY | 485 | 204 | 42.1% |
| 12 | M.Andonov | 🇧🇬 BULGARIA | 364 | 151 | 41.5% |
| 13 | T.Pavlov | 🇧🇬 BULGARIA | 415 | 172 | 41.4% |
| 14 | X.Liu | 🇨🇳 CHINA | 340 | 139 | 40.9% |
| 15 | Q.Tan | 🇨🇳 CHINA | 323 | 129 | 39.9% |
| 16 | H.Gao | 🇨🇳 CHINA | 208 | 82 | 39.4% |
| 17 | C.Li | 🇨🇳 CHINA | 422 | 166 | 39.3% |
| 18 | S.Scata | 🇮🇹 ITALY | 369 | 145 | 39.3% |
| 19 | Z.Chu | 🇨🇳 CHINA | 374 | 140 | 37.4% |
| 20 | S.Kar | 🇮🇳 INDIA | 44 | 30 | 68.2% |
| 21 | M.Balodis | 🇱🇻 LATVIA | 125 | 75 | 60.0% |
| 22 | S.Bar | 🇮🇳 INDIA | 44 | 26 | 59.1% |
| 23 | J.Ilzins | 🇱🇻 LATVIA | 130 | 70 | 53.8% |
| 24 | T.Kielbasa | 🇵🇱 POLAND | 89 | 44 | 49.4% |
| 25 | D.Jansons | 🇱🇻 LATVIA | 41 | 20 | 48.8% |
| 26 | W.Klarenbeek | 🇳🇱 NETHERLANDS | 74 | 36 | 48.6% |
| 27 | A.Boonstra | 🇳🇱 NETHERLANDS | 68 | 32 | 47.1% |
| 28 | E.Sucharda | 🇵🇱 POLAND | 41 | 19 | 46.3% |
| 29 | R.Emmers | 🇳🇱 NETHERLANDS | 72 | 33 | 45.8% |
| 30 | ACHARYA SHUBHAM | 🇮🇳 INDIA | 81 | 37 | 45.7% |
| 31 | T.Straume | 🇱🇻 LATVIA | 68 | 31 | 45.6% |
| 32 | J.Andruszkiewicz | 🇵🇱 POLAND | 40 | 18 | 45.0% |
| 33 | B.Bejenka | 🇵🇱 POLAND | 90 | 40 | 44.4% |
| 34 | B.Van Noort | 🇳🇱 NETHERLANDS | 68 | 30 | 44.1% |
| 35 | E.Olla | 🇱🇻 LATVIA | 68 | 29 | 42.6% |
| 36 | B.Kula | 🇵🇱 POLAND | 142 | 60 | 42.3% |
| 37 | J.Bereza | 🇵🇱 POLAND | 138 | 58 | 42.0% |
| 38 | R.Kreitals | 🇱🇻 LATVIA | 41 | 17 | 41.5% |
| 39 | Y.Li | 🇨🇳 CHINA | 162 | 67 | 41.4% |
| 40 | S.Roy | 🇮🇳 INDIA | 82 | 33 | 40.2% |
| 41 | P.Dey | 🇮🇳 INDIA | 118 | 47 | 39.8% |
| 42 | A.Momov | 🇧🇬 BULGARIA | 89 | 35 | 39.3% |
| 43 | S.Chatterjee | 🇮🇳 INDIA | 121 | 47 | 38.8% |
| 44 | E.Vallet | 🇫🇷 FRANCE | 158 | 60 | 38.0% |
| 45 | R.Bloch | 🇫🇷 FRANCE | 161 | 56 | 34.8% |
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.Scata | 🇮🇹 ITALY | 112 | +0.46 | +0.19 | +0.65 | ▲9 |
| 2 | A.Manganella | 🇮🇹 ITALY | 84 | +0.38 | +0.23 | +0.61 | ▲7 |
| 3 | G.Donati | 🇮🇹 ITALY | 154 | +0.32 | +0.28 | +0.60 | ▲5 |
| 4 | G.Percario | 🇮🇹 ITALY | 126 | +0.24 | +0.33 | +0.56 | ▲3 |
| 5 | M.Andonov | 🇧🇬 BULGARIA | 126 | -0.35 | +0.86 | +0.51 | ▼4 |
| 6 | T.Pavlov | 🇧🇬 BULGARIA | 154 | -0.43 | +0.81 | +0.37 | ▼4 |
| 7 | H.Gao | 🇨🇳 CHINA | 70 | +0.35 | -0.17 | +0.17 | ▲6 |
| 8 | L.Bellicaud | 🇫🇷 FRANCE | 112 | -0.28 | +0.44 | +0.16 | ▼3 |
| 9 | T.Guichet | 🇫🇷 FRANCE | 112 | -0.28 | +0.44 | +0.16 | ▼3 |
| 10 | P.Bedouet | 🇫🇷 FRANCE | 140 | -0.45 | +0.57 | +0.13 | ▼7 |
| 11 | C.Deheeger | 🇫🇷 FRANCE | 140 | -0.45 | +0.57 | +0.13 | ▼7 |
| 12 | Q.Tan | 🇨🇳 CHINA | 112 | +0.36 | -0.23 | +0.13 | ▲2 |
| 13 | G.Giubilo | 🇮🇹 ITALY | 70 | +0.28 | -0.28 | -0.01 | ▲2 |
| 14 | R.Sau | 🇮🇹 ITALY | 70 | +0.28 | -0.28 | -0.01 | ▲2 |
| 15 | X.Liu | 🇨🇳 CHINA | 112 | +0.37 | -0.43 | -0.05 | ▲2 |
| 16 | Z.Chu | 🇨🇳 CHINA | 126 | +0.28 | -0.51 | -0.23 | ▲2 |
| 17 | C.Li | 🇨🇳 CHINA | 140 | +0.33 | -0.56 | -0.23 | ▲2 |
| 18 | D.Lazarov | 🇧🇬 BULGARIA | 126 | -0.29 | -0.13 | -0.43 | ▼6 |
| 19 | Z.Ferov | 🇧🇬 BULGARIA | 140 | -0.45 | -0.06 | -0.51 | ▼8 |