{"id":246,"date":"2011-04-10T21:46:36","date_gmt":"2011-04-10T21:46:36","guid":{"rendered":"http:\/\/heavytopspin.com\/?p=246"},"modified":"2011-04-10T21:46:36","modified_gmt":"2011-04-10T21:46:36","slug":"monte-carlo-projections","status":"publish","type":"post","link":"https:\/\/www.tennisabstract.com\/blog\/2011\/04\/10\/monte-carlo-projections\/","title":{"rendered":"Monte Carlo Projections"},"content":{"rendered":"<p>Clay court rankings and projections are tough. \u00a0Most of the top 50 ATP players only compete on clay for a couple months of the year, so at the beginning of the clay-court swing, we&#8217;re using surface-specific results from almost a year ago; at the end, we&#8217;re depending heavily on each player&#8217;s recent results.<\/p>\n<p>Of course, the very top of the list is easy. \u00a0<strong>Rafael Nadal<\/strong> hasn&#8217;t lost a clay court match since the 2009 French Open. \u00a0It gets messy soon after that, since Nadal left the rest of the field fighting for crumbs. \u00a0<strong>Roger Federer<\/strong> is the clear #2 in this field, with <strong>Andy Murray<\/strong> a distant third. \u00a0(And maybe he should be even more distant.)<\/p>\n<p>These projections are clay-specific, as you can probably tell by some of the percentages. \u00a0My clay rankings, however, are heavily regressed back to overall rankings so, for instance, <strong>Milos Raonic<\/strong> gets plenty of credit for his recent success on hard courts. \u00a0(And today he justified that credit.)<\/p>\n<p>The tournament organizers made it tough for me to do pure projections, since four main draw matches were complete by the time qualifiers were placed. \u00a0Thus, the numbers are below are done as if I didn&#8217;t know anything about the outcome of today&#8217;s main draw matches. \u00a0I used rankings generated last Monday, so I might be selling <strong>Potito Starace<\/strong> (and, to a lesser extent, <strong>Victor Hanescu<\/strong>) a little short by excluding results from Casablanca.<\/p>\n<p>Enjoy!<\/p>\n<p>&nbsp;<\/p>\n<pre>Player                   R32   R16    QF    SF     F     W\n(1)Rafael Nadal         100% 92.7% 79.9% 66.8% 52.4% 36.6%\n(q)Julien Benneteau      54%  4.4%  1.7%  0.6%  0.2%  0.0%\nJarkko Nieminen          46%  2.9%  1.0%  0.3%  0.1%  0.0%\n(q)Vincent Millot        26%  5.6%  0.3%  0.1%  0.0%  0.0%\nGuillermo Garcia-Lopez   74% 31.8%  5.5%  2.1%  0.7%  0.2%\nDenis Istomin            27% 12.8%  1.3%  0.4%  0.1%  0.0%\n(13)Richard Gasquet      73% 49.8% 10.3%  5.3%  2.4%  0.9% \n\nPlayer                   R32   R16    QF    SF     F     W\n(12)Jo-Wilfried Tsonga   59% 35.2% 17.0%  4.0%  1.7%  0.6%\nJuan Monaco              41% 21.6%  8.9%  1.8%  0.7%  0.2%\nIvan Ljubicic            55% 25.5% 10.5%  2.2%  0.9%  0.2%\nJeremy Chardy            45% 17.7%  6.3%  1.1%  0.3%  0.1%\n(q)Olivier Rochus        46%  8.7%  2.6%  0.3%  0.1%  0.0%\nJuan Ignacio Chela       54% 12.4%  4.2%  0.6%  0.1%  0.0%\n(5)(WC)Tomas Berdych    100% 78.9% 50.5% 14.7%  7.8%  3.2% \n\nPlayer                   R32   R16    QF    SF     F     W\n(3)(WC)Andy Murray      100% 70.6% 54.3% 38.4% 16.5%  8.7%\n(WC)Radek Stepanek       30%  5.9%  2.5%  0.9%  0.2%  0.0%\nMarcos Baghdatis         70% 23.5% 14.5%  7.8%  2.3%  0.8%\nAlbert Montanes          64% 30.9%  8.9%  4.0%  0.8%  0.2%\nXavier Malisse           36% 11.1%  2.0%  0.6%  0.1%  0.0%\nThomaz Bellucci          52% 30.9% 10.1%  4.7%  1.1%  0.3%\n(16)Gilles Simon         48% 27.0%  7.7%  3.4%  0.7%  0.2% \n\nPlayer                   R32   R16    QF    SF     F     W\n(10)Mikhail Youzhny      52% 38.1% 18.3%  7.0%  1.7%  0.5%\nFlorian Mayer            48% 33.3% 13.8%  4.8%  1.1%  0.3%\n(q)Frederico Gil         41% 10.2%  2.1%  0.3%  0.0%  0.0%\nSergiy Stakhovsky        59% 18.4%  5.0%  1.1%  0.1%  0.0%\nDaniel Gimeno-Traver     40%  7.9%  2.9%  0.5%  0.1%  0.0%\nSantiago Giraldo         60% 15.6%  6.6%  1.8%  0.2%  0.1%\n(8)Gael Monfils         100% 76.5% 51.3% 24.7%  7.7%  3.0% \n\nPlayer                   R32   R16    QF    SF     F     W\n(6)Fernando Verdasco    100% 71.3% 54.5% 31.0% 13.6%  5.2%\nTommy Robredo            73% 24.6% 15.1%  5.7%  1.6%  0.4%\nIvan Dodig               27%  4.0%  1.5%  0.3%  0.0%  0.0%\nKevin Anderson           44% 16.8%  3.4%  0.7%  0.1%  0.0%\nFabio Fognini            56% 24.1%  6.0%  1.5%  0.3%  0.0%\n(WC)Jean-Rene Lisnard    14%  3.4%  0.3%  0.0%  0.0%  0.0%\n(11)Viktor Troicki       86% 55.6% 19.2%  6.5%  1.7%  0.4% \n\nPlayer                   R32   R16    QF    SF     F     W\nErnests Gulbis           67% 44.8% 22.0% 12.2%  5.0%  1.8%\n(14)Alexandr Dolgopolov  33% 16.9%  5.5%  2.2%  0.6%  0.1%\nMilos Raonic             59% 24.4%  8.8%  3.9%  1.1%  0.3%\nMichael Llodra           41% 13.9%  4.1%  1.4%  0.3%  0.1%\nJanko Tipsarevic         55% 13.5%  5.3%  1.9%  0.4%  0.1%\nFeliciano Lopez          45% 10.7%  3.7%  1.2%  0.3%  0.0%\n(4)David Ferrer         100% 75.8% 50.7% 31.4% 14.3%  6.0% \n\nPlayer                   R32   R16    QF    SF     F     W\n(7)Jurgen Melzer        100% 54.7% 29.3%  9.3%  4.2%  1.3%\nNikolay Davydenko        72% 37.5% 20.3%  6.8%  3.2%  1.1%\nRobin Haase              28%  7.8%  2.6%  0.5%  0.1%  0.0%\n(q)Maximo Gonzalez       55% 12.3%  2.8%  0.3%  0.1%  0.0%\nVictor Hanescu           45%  8.6%  1.8%  0.2%  0.0%  0.0%\nMarcel Granollers        16%  8.5%  2.1%  0.3%  0.1%  0.0%\n(9)Nicolas Almagro       84% 70.5% 41.1% 15.2%  7.7%  2.8% \n\nPlayer                   R32   R16    QF    SF     F     W\n(15)Marin Cilic          86% 68.2% 19.9% 10.4%  4.8%  1.5%\n(q)Filippo Volandri      14%  5.7%  0.6%  0.1%  0.0%  0.0%\n(q)Pere Riba             43%  9.7%  1.0%  0.2%  0.0%  0.0%\nPotito Starace           57% 16.4%  1.7%  0.3%  0.1%  0.0%\nPhilipp Kohlschreiber    61% 11.6%  6.4%  3.0%  1.2%  0.3%\nAndrey Golubev           39%  5.2%  2.4%  0.9%  0.3%  0.1%\n(2)Roger Federer        100% 83.2% 68.1% 52.6% 39.0% 22.1%<\/pre>\n","protected":false},"excerpt":{"rendered":"<p>Clay court rankings and projections are tough. \u00a0Most of the top 50 ATP players only compete on clay for a couple months of the year, so at the beginning of the clay-court swing, we&#8217;re using surface-specific results from almost a year ago; at the end, we&#8217;re depending heavily on each player&#8217;s recent results. Of course, &hellip; <a href=\"https:\/\/www.tennisabstract.com\/blog\/2011\/04\/10\/monte-carlo-projections\/\" class=\"more-link\">Continue reading <span class=\"screen-reader-text\">Monte Carlo Projections<\/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":[40,74,96],"tags":[],"class_list":["post-246","post","type-post","status-publish","format-standard","hentry","category-forecasting","category-monte-carlo","category-research"],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"jetpack-related-posts":[],"_links":{"self":[{"href":"https:\/\/www.tennisabstract.com\/blog\/wp-json\/wp\/v2\/posts\/246","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=246"}],"version-history":[{"count":0,"href":"https:\/\/www.tennisabstract.com\/blog\/wp-json\/wp\/v2\/posts\/246\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.tennisabstract.com\/blog\/wp-json\/wp\/v2\/media?parent=246"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.tennisabstract.com\/blog\/wp-json\/wp\/v2\/categories?post=246"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.tennisabstract.com\/blog\/wp-json\/wp\/v2\/tags?post=246"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}