The women’s field is more tightly packed than the men’s, especially with Kim Clijsters out of action. \u00a0As such, my algorithm gives only Caroline Wozniacki and Victoria Azarenka better than a 10-to-1 shot of winning Wimbledon. \u00a0Serena and Venus Williams, of course, are wild cards–it’s easy to see Serena winning it all, or crashing out early from injury or rust.<\/p>\n
Here is the full draw breakdown:<\/p>\n
Player R64 R32 R16 W \nCaroline Wozniacki 94.0% 77.1% 65.9% 15.03% \nArantxa Parra Santonja 6.0% 1.5% 0.5% 0.00% \nSania Mirza 26.0% 3.1% 1.2% 0.00% \nVirginie Razzano 74.0% 18.2% 11.3% 0.30% \nAnastasia Rodionova 58.4% 19.4% 3.0% 0.01% \nAndrea Hlavackova 41.6% 10.9% 1.3% 0.00% \nAlona Bondarenko 50.3% 35.2% 8.7% 0.11% \nJarmila Gajdosova 49.7% 34.4% 8.3% 0.11% \n \nPlayer R64 R32 R16 W \nDominika Cibulkova 85.6% 64.5% 43.8% 1.98% \nMirjana Lucic 14.4% 4.8% 1.4% 0.00% \nPolona Hercog 53.6% 17.0% 7.8% 0.03% \nJohanna Larsson 46.4% 13.6% 5.8% 0.01% \nMathilde Johansson 39.1% 8.0% 1.5% 0.00% \nHeather Watson 60.9% 17.3% 4.4% 0.01% \nAnabel Medina Garrigues 26.3% 15.6% 4.6% 0.01% \nJulia Goerges 73.7% 59.0% 30.7% 0.66% \n \nPlayer R64 R32 R16 W \nSamantha Stosur 81.6% 65.4% 38.3% 2.17% \nMelinda Czink 18.4% 8.8% 2.4% 0.00% \nAnastasiya Yakimova 48.5% 12.2% 3.5% 0.00% \nSofia Arvidsson 51.5% 13.6% 4.0% 0.01% \nElena Baltacha 64.2% 18.4% 6.6% 0.02% \nMona Barthel 35.8% 6.8% 1.6% 0.00% \nKirsten Flipkens 21.2% 11.2% 3.8% 0.02% \nShuai Peng 78.9% 63.6% 39.9% 2.70% \n \nPlayer R64 R32 R16 W \nLucie Safarova 69.1% 42.3% 18.7% 0.44% \nLucie Hradecka 30.9% 13.1% 3.7% 0.01% \nKlara Zakopalova 81.7% 41.1% 16.1% 0.23% \nEmily Webley-Smith 18.3% 3.5% 0.5% 0.00% \nAngelique Kerber 64.6% 15.7% 6.1% 0.02% \nLaura Robson 35.4% 5.2% 1.4% 0.00% \nAnna Chakvetadze 25.1% 16.2% 7.8% 0.08% \nMaria Sharapova 74.9% 62.9% 45.7% 4.54% \n \nPlayer R64 R32 R16 W \nNa Li 84.1% 60.8% 46.2% 5.66% \nAlla Kudryavtseva 15.9% 5.2% 2.0% 0.00% \nSabine Lisicki 54.1% 19.2% 10.9% 0.24% \nAnastasija Sevastova 45.9% 14.7% 7.7% 0.11% \nJie Zheng 86.6% 51.9% 18.9% 0.31% \nZuzana Ondraskova 13.4% 2.8% 0.3% 0.00% \nMisaki Doi 22.1% 5.5% 0.7% 0.00% \nBethanie Mattek-Sands 77.9% 39.9% 13.3% 0.15% \n \nPlayer R64 R32 R16 W \nAna Ivanovic 68.6% 55.8% 33.6% 1.87% \nMelanie Oudin 31.4% 20.8% 8.8% 0.07% \nCoco Vandeweghe 53.5% 13.1% 4.0% 0.01% \nEleni Daniilidou 46.5% 10.3% 2.9% 0.00% \nKristina Barrois 64.9% 17.2% 5.5% 0.01% \nPetra Cetkovska 35.1% 6.1% 1.3% 0.00% \nOlga Govortsova 20.2% 11.1% 3.4% 0.01% \nAgnieszka Radwanska 79.8% 65.7% 40.5% 2.34% \n \nPlayer R64 R32 R16 W \nMarion Bartoli 88.5% 78.3% 47.8% 3.02% \nKristyna Pliskova 11.5% 5.6% 1.1% 0.00% \nLourdes Dominguez Lino 45.7% 6.9% 1.4% 0.00% \nRomina Oprandi 54.3% 9.2% 2.0% 0.00% \nEvgeniya Rodina 51.2% 11.3% 2.7% 0.00% \nChanelle Scheepers 48.8% 10.1% 2.4% 0.00% \nIrina-Camelia Begu 14.5% 6.8% 1.5% 0.00% \nFlavia Pennetta 85.5% 71.8% 41.1% 2.36% \n \nPlayer R64 R32 R16 W \nMaria Kirilenko 79.4% 57.5% 24.8% 0.61% \nAlberta Brianti 20.6% 8.4% 1.6% 0.00% \nTamarine Tanasugarn 39.8% 11.5% 2.2% 0.00% \nYaroslava Shvedova 60.2% 22.6% 6.0% 0.01% \nSimona Halep 48.7% 11.6% 5.1% 0.02% \nBojana Jovanovski 51.3% 12.7% 5.9% 0.04% \nAravane Rezai 25.1% 14.9% 7.9% 0.09% \nSerena Williams 74.9% 60.8% 46.4% 5.54% \n \nPlayer R64 R32 R16 W \nFrancesca Schiavone 70.3% 49.3% 30.5% 0.96% \nJelena Dokic 29.7% 14.8% 6.1% 0.03% \nBarbora Zahlavova Strycova 57.8% 22.5% 10.0% 0.05% \nAleksandra Wozniak 42.2% 13.4% 5.0% 0.01% \nAyumi Morita 44.0% 14.7% 5.2% 0.01% \nTamira Paszek 56.0% 21.7% 9.0% 0.04% \nChristina McHale 31.1% 15.8% 6.2% 0.02% \nEkaterina Makarova 68.9% 47.9% 27.9% 0.70% \n \nPlayer R64 R32 R16 W \nShahar Peer 77.8% 58.9% 30.1% 1.15% \nKsenia Pervak 22.2% 10.6% 2.7% 0.00% \nSorana Cirstea 65.7% 22.9% 7.3% 0.03% \nPauline Parmentier 34.3% 7.6% 1.5% 0.00% \nIrina Falconi 56.0% 10.1% 2.7% 0.00% \nStephanie Dubois 44.0% 7.1% 1.8% 0.00% \nStephanie Foretz Gacon 11.8% 5.7% 1.5% 0.00% \nAndrea Petkovic 88.2% 77.2% 52.4% 4.11% \n \nPlayer R64 R32 R16 W \nAnastasia Pavlyuchenkova 86.2% 59.1% 38.5% 2.28% \nLesia Tsurenko 13.8% 3.8% 0.9% 0.00% \nVesna Dolonts 26.3% 6.0% 1.7% 0.00% \nNadia Petrova 73.7% 31.1% 16.2% 0.32% \nKateryna Bondarenko 53.7% 24.2% 9.5% 0.12% \nAlize Cornet 46.3% 19.3% 7.2% 0.07% \nSara Errani 35.3% 16.6% 5.9% 0.05% \nKaia Kanepi 64.7% 40.0% 20.1% 0.62% \n \nPlayer R64 R32 R16 W \nDaniela Hantuchova 86.5% 70.1% 28.5% 1.40% \nVitalia Diatchenko 13.5% 5.4% 0.6% 0.00% \nKai-Chen Chang 56.0% 14.7% 2.6% 0.01% \nMarina Erakovic 44.0% 9.8% 1.4% 0.00% \nSandra Zahlavova 26.6% 2.8% 0.7% 0.00% \nIveta Benesova 73.4% 17.3% 7.9% 0.10% \nMagdalena Rybarikova 16.6% 9.0% 3.9% 0.04% \nVictoria Azarenka 83.4% 70.8% 54.5% 10.87% \n \nPlayer R64 R32 R16 W \nPetra Kvitova 89.6% 79.6% 63.3% 7.16% \nAlexa Glatch 10.4% 5.0% 1.6% 0.00% \nNaomi Broady 38.9% 4.8% 1.3% 0.00% \nAnne Keothavong 61.1% 10.6% 3.9% 0.01% \nRebecca Marino 66.9% 22.5% 5.2% 0.01% \nPatricia Mayr-Achleitner 33.1% 6.6% 0.9% 0.00% \nVera Dushevina 47.6% 33.4% 10.8% 0.11% \nRoberta Vinci 52.4% 37.5% 12.9% 0.17% \n \nPlayer R64 R32 R16 W \nYanina Wickmayer 80.9% 66.9% 34.8% 1.28% \nVarvara Lepchenko 19.1% 10.1% 2.4% 0.00% \nAnastasia Pivovarova 49.0% 10.9% 2.3% 0.00% \nAnna Tatishvili 51.0% 12.0% 2.6% 0.00% \nJill Craybas 27.7% 4.4% 1.1% 0.00% \nAlexandra Dulgheru 72.3% 21.4% 8.9% 0.05% \nShuai Zhang 14.7% 6.2% 1.9% 0.00% \nSvetlana Kuznetsova 85.3% 68.0% 46.1% 3.25% \n \nPlayer R64 R32 R16 W \nJelena Jankovic 58.7% 44.3% 24.0% 0.97% \nMaria Jose Martinez Sanchez 41.3% 28.3% 13.0% 0.27% \nMonica Niculescu 48.4% 12.9% 3.7% 0.01% \nSybille Bammer 51.6% 14.6% 4.5% 0.01% \nKatie O'Brien 26.3% 3.8% 0.7% 0.00% \nKimiko Date-Krumm 73.7% 22.1% 8.4% 0.04% \nAkgul Amanmuradova 14.9% 6.4% 1.6% 0.00% \nVenus Williams 85.1% 67.7% 44.0% 2.94% \n \nPlayer R64 R32 R16 W \nTsvetana Pironkova 75.0% 41.3% 10.3% 0.08% \nCamila Giorgi 25.0% 7.4% 0.8% 0.00% \nVania King 54.9% 29.4% 6.6% 0.02% \nPetra Martic 45.1% 22.0% 4.3% 0.01% \nElena Vesnina 84.3% 26.9% 18.2% 0.48% \nLaura Pous-Tio 15.7% 1.5% 0.4% 0.00% \nAlison Riske 10.4% 3.1% 1.3% 0.00% \nVera Zvonareva 89.6% 68.4% 58.0% 9.23%<\/pre>\n","protected":false},"excerpt":{"rendered":"The women’s field is more tightly packed than the men’s, especially with Kim Clijsters out of action. \u00a0As such, my algorithm gives only Caroline Wozniacki and Victoria Azarenka better than a 10-to-1 shot of winning Wimbledon. \u00a0Serena and Venus Williams, of course, are wild cards–it’s easy to see Serena winning it all, or crashing out … Continue reading Wimbledon Women’s Draw Predictions<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"jetpack_post_was_ever_published":false,"_jetpack_newsletter_access":"","_jetpack_dont_email_post_to_subs":false,"_jetpack_newsletter_tier_id":0,"_jetpack_memberships_contains_paywalled_content":false,"_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[40,122,127],"tags":[],"class_list":["post-390","post","type-post","status-publish","format-standard","hentry","category-forecasting","category-wimbledon","category-wta"],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"jetpack-related-posts":[],"_links":{"self":[{"href":"https:\/\/www.tennisabstract.com\/blog\/wp-json\/wp\/v2\/posts\/390","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.tennisabstract.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.tennisabstract.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.tennisabstract.com\/blog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.tennisabstract.com\/blog\/wp-json\/wp\/v2\/comments?post=390"}],"version-history":[{"count":0,"href":"https:\/\/www.tennisabstract.com\/blog\/wp-json\/wp\/v2\/posts\/390\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.tennisabstract.com\/blog\/wp-json\/wp\/v2\/media?parent=390"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.tennisabstract.com\/blog\/wp-json\/wp\/v2\/categories?post=390"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.tennisabstract.com\/blog\/wp-json\/wp\/v2\/tags?post=390"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}