{"id":2819,"date":"2026-06-16T08:17:07","date_gmt":"2026-06-16T08:17:07","guid":{"rendered":"https:\/\/www.poker-analytics.net\/blog\/?p=2819"},"modified":"2026-06-16T08:19:51","modified_gmt":"2026-06-16T08:19:51","slug":"poker-analytics-6-11","status":"publish","type":"post","link":"https:\/\/www.poker-analytics.net\/blog\/2026\/06\/poker-analytics-6-11\/","title":{"rendered":"Poker Analytics 6.11"},"content":{"rendered":"\n<p>We&#8217;ve just released a new feature in Poker Analytics, the variance simulator. <\/p>\n\n\n\n<p>The variance simulator is a great way to visualize how a theoretical win rate is not a proof of smooth sailing in poker. Players with a theoretical negative win rate can become winners, and players that could win become losing players. <br>It&#8217;s a good way to remind yourself that downswings exists and that most players will experience one at least once in their career. <\/p>\n\n\n\n<figure class=\"wp-block-image size-large is-resized is-style-default\"><a href=\"https:\/\/www.poker-analytics.net\/blog\/wp-content\/uploads\/2026\/06\/IMG_7511.png\"><img decoding=\"async\" loading=\"lazy\" src=\"https:\/\/www.poker-analytics.net\/blog\/wp-content\/uploads\/2026\/06\/IMG_7511-1024x717.png\" alt=\"variance simulator showing different outcomes with monte carlo simulation\" class=\"wp-image-2820\" width=\"512\" height=\"359\" srcset=\"https:\/\/www.poker-analytics.net\/blog\/wp-content\/uploads\/2026\/06\/IMG_7511-1024x717.png 1024w, https:\/\/www.poker-analytics.net\/blog\/wp-content\/uploads\/2026\/06\/IMG_7511-300x210.png 300w, https:\/\/www.poker-analytics.net\/blog\/wp-content\/uploads\/2026\/06\/IMG_7511-768x538.png 768w, https:\/\/www.poker-analytics.net\/blog\/wp-content\/uploads\/2026\/06\/IMG_7511.png 1179w\" sizes=\"(max-width: 512px) 100vw, 512px\" \/><\/a><\/figure>\n\n\n\n<p>To access the simulator, you need to go to the Stats tab and look for the cash game standard deviation in BB\/100 stat. We&#8217;ve added a small badge to let you know it&#8217;s there. <\/p>\n\n\n\n<figure class=\"wp-block-image size-full is-resized is-style-default\"><a href=\"https:\/\/www.poker-analytics.net\/blog\/wp-content\/uploads\/2026\/06\/Capture-de\u0301cran-2026-06-16-a\u0300-09.57.26.png\"><img decoding=\"async\" loading=\"lazy\" src=\"https:\/\/www.poker-analytics.net\/blog\/wp-content\/uploads\/2026\/06\/Capture-de\u0301cran-2026-06-16-a\u0300-09.57.26.png\" alt=\"standard deviation in bb\/100\" class=\"wp-image-2821\" width=\"348\" height=\"82\" srcset=\"https:\/\/www.poker-analytics.net\/blog\/wp-content\/uploads\/2026\/06\/Capture-de\u0301cran-2026-06-16-a\u0300-09.57.26.png 696w, https:\/\/www.poker-analytics.net\/blog\/wp-content\/uploads\/2026\/06\/Capture-de\u0301cran-2026-06-16-a\u0300-09.57.26-300x71.png 300w\" sizes=\"(max-width: 348px) 100vw, 348px\" \/><\/a><\/figure>\n\n\n\n<p>The simulator auto-populates the parameters with your own values. What&#8217;s great is that in the Stats tab you can filter your data if you want to refine more realistic values and see what&#8217;s going on. <\/p>\n\n\n\n<p>You can also directly edit each parameter with the values you want to play with. <\/p>\n\n\n\n<p>We&#8217;ve moved the risk of ruin stat to also let you play with parameters and have a better idea of your real risk, because sometimes certain sessions can have a tremendous impact on your stats. Typically, if you have a session with a zero duration, that session will probably have an unusual BB\/100, skewing your standard deviation. Filtering out your shortest sessions is a good way to get a more realistic standard deviation. <\/p>\n\n\n\n<p>We&#8217;ve also added a table to see the bankroll you need for a certain level of risk. Let us remind you to always play within your means and don&#8217;t forget to step back when you&#8217;re hitting a high risk of ruin. <\/p>\n\n\n\n<figure class=\"wp-block-image size-full is-resized is-style-default\"><a href=\"https:\/\/www.poker-analytics.net\/blog\/wp-content\/uploads\/2026\/06\/Capture-de\u0301cran-2026-06-16-a\u0300-10.04.50.png\"><img decoding=\"async\" loading=\"lazy\" src=\"https:\/\/www.poker-analytics.net\/blog\/wp-content\/uploads\/2026\/06\/Capture-de\u0301cran-2026-06-16-a\u0300-10.04.50.png\" alt=\"risk of ruin\" class=\"wp-image-2822\" width=\"357\" height=\"421\" srcset=\"https:\/\/www.poker-analytics.net\/blog\/wp-content\/uploads\/2026\/06\/Capture-de\u0301cran-2026-06-16-a\u0300-10.04.50.png 714w, https:\/\/www.poker-analytics.net\/blog\/wp-content\/uploads\/2026\/06\/Capture-de\u0301cran-2026-06-16-a\u0300-10.04.50-254x300.png 254w\" sizes=\"(max-width: 357px) 100vw, 357px\" \/><\/a><\/figure>\n\n\n\n<p>That&#8217;s it for version 6.11! We&#8217;re always happy to hear from you, so please let us know your feedback.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>We&#8217;ve just released a new feature in Poker Analytics, the variance simulator. The variance simulator is a great way to visualize how a theoretical win rate is not a proof of smooth sailing in poker. Players with a theoretical negative win rate can become winners, and players that could win become losing players. It&#8217;s a &hellip; <\/p>\n<p class=\"link-more\"><a href=\"https:\/\/www.poker-analytics.net\/blog\/2026\/06\/poker-analytics-6-11\/\" class=\"more-link\">Continue reading<span class=\"screen-reader-text\"> &#8220;Poker Analytics 6.11&#8221;<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[103],"tags":[14],"_links":{"self":[{"href":"https:\/\/www.poker-analytics.net\/blog\/wp-json\/wp\/v2\/posts\/2819"}],"collection":[{"href":"https:\/\/www.poker-analytics.net\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.poker-analytics.net\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.poker-analytics.net\/blog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.poker-analytics.net\/blog\/wp-json\/wp\/v2\/comments?post=2819"}],"version-history":[{"count":3,"href":"https:\/\/www.poker-analytics.net\/blog\/wp-json\/wp\/v2\/posts\/2819\/revisions"}],"predecessor-version":[{"id":2825,"href":"https:\/\/www.poker-analytics.net\/blog\/wp-json\/wp\/v2\/posts\/2819\/revisions\/2825"}],"wp:attachment":[{"href":"https:\/\/www.poker-analytics.net\/blog\/wp-json\/wp\/v2\/media?parent=2819"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.poker-analytics.net\/blog\/wp-json\/wp\/v2\/categories?post=2819"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.poker-analytics.net\/blog\/wp-json\/wp\/v2\/tags?post=2819"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}