<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>Janowicz on sixman.guru</title><link>http://sixman.guru/tags/janowicz/</link><description>Recent content in Janowicz on sixman.guru</description><generator>Hugo -- 0.155.3</generator><language>en-us</language><lastBuildDate>Fri, 30 May 2014 00:36:47 +0000</lastBuildDate><atom:link href="http://sixman.guru/tags/janowicz/index.xml" rel="self" type="application/rss+xml"/><item><title>Predicting Federer-Tursunov and other Friday French Open Matches Using Markov Chain</title><link>http://sixman.guru/posts/predicting-federer-friday-french-open-matches/</link><pubDate>Fri, 30 May 2014 00:36:47 +0000</pubDate><guid>http://sixman.guru/posts/predicting-federer-friday-french-open-matches/</guid><description>&lt;!-- AdSense Now! V3.40 --&gt;
&lt;!-- Post[count: 1] --&gt;
&lt;div class="adsense adsense-leadin" style="float:right;margin: 12px;"&gt;
&lt;!-- Guru2013 --&gt;
&lt;/div&gt;&lt;p&gt;Today I was enamored with the FiveThirtyEight.com article, &lt;a href="http://fivethirtyeight.com/features/inside-the-shadowy-world-of-high-speed-tennis-betting/" title="538.com"&gt;Inside the Shadowy World of High-Speed Tennis Betting&lt;/a&gt;. The article mentions the courtsiders who would sit court side at a tennis match and try to relay information quicker than the tournament computers to betting partners. Great read. Not sure these courtsiders were really doing anything illegal.&lt;/p&gt;
&lt;p&gt;Buried deep in the article was a mention of the system this one organization created to predict the outcome of tennis matches for betting purposes. It links to a website, Summer of Jeff, and a post, &lt;a href="http://summerofjeff.wordpress.com/2011/01/13/python-code-for-tennis-markov/" title="Summer of Jeff"&gt;Python Code for Tennis Markov&lt;/a&gt;. If you follow the links to the gitHub site, there is some pretty elaborate Python code for generating probabilities based on &lt;a href="http://en.wikipedia.org/wiki/Markov_chain" title="Markov"&gt;Markov Chain theory&lt;/a&gt;. The code is pretty easy to use, if you understand Python and statistics, although it needs some cleaning up if you plan on using it for entire match prediction (hint: the matchProbs function needs some fixes to run).&lt;/p&gt;</description></item></channel></rss>