![]() ![]() This is called a “bell curve” or a “normal distribution”. The more your winrate varies in each chunk of 100 hands you play, the bigger your standard deviation will be.Īdditionally, if you plotted the frequency of the winrates (how often each winrate occurs) over each of these 100 hand chunks in a graph, it would look something like this: A simple graph to show the frequency of the varying different winrates you might experience over many 100-hand "mini sessions" Well, instead of measuring oranges, what if you split up your poker career in to 100-hand mini-sessions (or "chunks"), and measured your winrate for each of these sessions?įrom a set of results like this, you could work out your mean average winrate (this will give you the average winrate stat that you're used to seeing) and also your standard deviation. How does standard deviation in poker work and what does it tell you about your winrate? These numbers tell us the average spread. The SD of the loose oranges is 3.3, and the SD of the "medium" oranges is 0.8. Note: Okay, I can't leave any stone unturned. This standard deviation video on youtube is also very helpful. ![]() If you are interested in the equation though, check out this very straightforward article: basic standard deviation example and equation. I could run through an equation and give you an exact number for the "standard deviation" of each of these two sets of oranges, but I don't want to get too mathsy (and you don't necessarily need to know how to work it out). ![]() The standard deviation of the loose oranges is higher than the standard deviation of the "medium" oranges. Now, because standard deviation is a measure of the spread of results from the average, we can say that: In the second set of "medium" oranges, the results are very close together.In the first set of loose oranges, the results are varied and spread out.You'll notice that the average widths of these two sets of 5 oranges are the same, despite the width of each individual orange in each set being quite different. Widths of 5 "medium" oranges from a packet.The widths of the 5 oranges from the pack are: Now, instead of measuring 5 loose oranges, you decide to measure another 5 oranges from a pack of “medium oranges”. Average width of these 5 oranges = 8.2cm.To give an example, lets say you go to your local supermarket and measure the width of 5 loose oranges. Standard deviation is a measure of how spread out numbers are from the average. For a better understanding of the poker std dev stat, we'll need to find out what this standard deviation stuff is all about. That's simple enough, but it doesn't give us much to work with. Standard deviation can also give you an indication of how far you can expect to veer from your current winrate over 100 hands (hence why Std Dev stats are shown in BB/100 ). The lower your standard deviation, the lower your variance.The higher your standard deviation, the higher your variance.Your standard deviation stat gives you an indication of how “swingy” your game is. You don't need a background in statistics to enjoy the pleasures of the SD stat, I promise. So to help you out, I've decided to explain what standard deviation in poker is all about and what it means to you as a poker player. Or, you've heard about it, but it just sounds far too mathsy for you to understand. Standard deviation ("Std Dev" or sometimes just "SD") is one of those terms you've bumped in to a few times, but you've never fully got to grips to with it. Poker Stats: VPIP : PFR : Std Dev : The Red Line ![]()
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