{"id":869221,"date":"2026-10-03T09:18:14","date_gmt":"2026-10-03T09:18:14","guid":{"rendered":"https:\/\/www.newsbeep.com\/us\/869221\/"},"modified":"2026-10-03T09:18:14","modified_gmt":"2026-10-03T09:18:14","slug":"donna-vekic-vs-lin-zhu-prediction-odds-picks-for-wta-china-open-2026","status":"publish","type":"post","link":"https:\/\/www.newsbeep.com\/us\/869221\/","title":{"rendered":"Donna Vekic vs. Lin Zhu prediction, odds, picks for WTA China Open 2026"},"content":{"rendered":"<p> Using innovative machine learning and data analysis, we have re-simulated the outcome of Friday&#8217;s Vekic-Zhu women&#8217;s singles match, forming part of our <a href=\"https:\/\/www.dimers.com\/tennis\/predictions\" rel=\"nofollow noopener\" target=\"_blank\">tennis predictions<\/a> coverage.<\/p>\n<p>Our leading predictive model currently gives Vekic a 62% chance of defeating Zhu at the WTA China Open tournament.<br \/>\nAdditionally, Vekic has a 60% chance of winning the first set. The simulations also show Vekic (-2.5) has a 53% chance of covering the games spread, while the over 21.5 games has a 52% chance of hitting, according to our model.<\/p>\n<p>\u00a0<\/p>\n<p>Latest betting odds<\/p>\n<p>We have researched the most up-to-date betting odds in America for this match, which are listed here:<\/p>\n<p>Moneyline: Lin Zhu +168, Donna Vekic -188<br \/>\nFirst Set: Vekic -175, Zhu +137<\/p>\n<p>All odds are correct at the time of publication and are subject to change.<\/p>\n<p>Model picks and best bet<\/p>\n<p>After matching our probabilities against the best current odds, we can reveal our picks for each of the major markets in this matchup. Plus, find our best bet for the game below:<\/p>\n<p>Moneyline: Zhu @ +168 via DraftKings<br \/>\nFirst Set: Zhu @ -120 via DraftKings<\/p>\n<p>According to our <a href=\"https:\/\/www.dimers.com\/tennis\/best-bets\" rel=\"nofollow noopener\" target=\"_blank\">tennis best bets<\/a>, the top play to make on this match is Lin Zhu to win.<\/p>\n<p>Although Zhu is less than likely to win, she provides the best value at the current available odds.<\/p>\n<p>These picks are based on our probabilities matched against the implied probabilities from the current available odds.<\/p>\n<p>Game info &amp; first serve details<\/p>\n<p>The WTA China Open match between Donna Vekic and Lin Zhu is scheduled to start on Friday at 11:00 PM ET.<\/p>\n<p>Who: Donna Vekic vs. Lin Zhu<br \/>\nDate: Friday, October 2, 2026<br \/>\nApprox. Time: 11:00 PM ET\/8:00PM PT<br \/>\nTournament: WTA Beijing, China Women&#8217;s Singles 2026<br \/>\nRound: Round of 64<\/p>\n<p>All dates and times in this article are United States Eastern Time unless otherwise noted.<\/p>\n<p>Conclusion<\/p>\n<p>We predict Donna Vekic, with a 62% win probability, will likely beat Lin Zhu at the WTA China Open tournament.<\/p>\n<p>Additional tools and information for betting safely can be found in our <a href=\"https:\/\/www.dimers.com\/responsible-gambling\" rel=\"nofollow noopener\" target=\"_blank\">Responsible Gambling<\/a> hub.<\/p>\n<p>This article&#8217;s predictions and probabilities are generated by Dimers&#8217; proprietary Tennis prediction model. Our editorial team reviews the resulting content for accuracy and presentation before publication.<\/p>\n","protected":false},"excerpt":{"rendered":"Using innovative machine learning and data analysis, we have re-simulated the outcome of Friday&#8217;s Vekic-Zhu women&#8217;s singles match,&hellip;\n","protected":false},"author":2,"featured_media":869222,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[72],"tags":[99,428],"class_list":["post-869221","post","type-post","status-publish","format-standard","has-post-thumbnail","category-tennis","tag-sports","tag-tennis"],"_links":{"self":[{"href":"https:\/\/www.newsbeep.com\/us\/wp-json\/wp\/v2\/posts\/869221","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.newsbeep.com\/us\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.newsbeep.com\/us\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/us\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/us\/wp-json\/wp\/v2\/comments?post=869221"}],"version-history":[{"count":0,"href":"https:\/\/www.newsbeep.com\/us\/wp-json\/wp\/v2\/posts\/869221\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/us\/wp-json\/wp\/v2\/media\/869222"}],"wp:attachment":[{"href":"https:\/\/www.newsbeep.com\/us\/wp-json\/wp\/v2\/media?parent=869221"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.newsbeep.com\/us\/wp-json\/wp\/v2\/categories?post=869221"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.newsbeep.com\/us\/wp-json\/wp\/v2\/tags?post=869221"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}