Texas holdem hand evaluator algorithm

Ok, so I am making a Texas Hold'em AI for my senior project. I've created the gui and betting/dealing procedures, but I have reached the part where I need to determine who won the hand, and I do not know the best way to approach this. Cactus Kev's Poker Hand Evaluator A while ago, I decided to take a shot at writing a poker hand evaluator in the programming language "C". There are already numerous evaluators out there, but I had an idea for an algorithm that might be faster than anything already out there. 12/1/ · A C# native, fast Texas Holdem Hand Evaluator. When evaluating the win/split% using the "TRADINGONLINE.PROntrol1", it will calculate the percentages in about 1 second for my pocket cards, but when it is asked to evaluate my pocket cards plus 3 flop cards, the result takes about seconds/5(98).

To assist in this task, C iterators can be used to simplify the process. Ease of Use My second goal after making it fast was to make it easy to use this class for simple things. The tip is that if we have to find a combination on 7 cards max, a flush imply no possible quad. Hand class. It's amazing how much of a difference look up tables can make in speeding up code - It makes sense that the pre-calculated data will speed code up. But looking at poker.

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This is exactly what I was looking for. I'm trying to build a texas hold 'em game in python just for fun and learning and I needed some clue on how to calculate a poker hand. So, thank you very much for sharing. I have written such a code that is similar to this including calculating for 7 card hands.

The problem I have with it is that it is very very slow; I use it to calculate odds of making hands given x hands. The down side is that to do this, I have to calculate hands to get a good representation of odds, and that takes 4 secs or so to do.

Compare this to software out there called "pokerstove" and you will see I am way slow. His is able to calculate the odds of 5 different players hands preflop in about 12 seconds using 4. I will be happy to share the code in java if interested, but I am looking for a streamlined algorythmn. That much I'd gotten on my own, but the part I'm having trouble with is finding the odds for partial hands.

Say I'm playing 7 Card Stud, and at 4th street I have my four cards, my opponent's two upcards, and a list of all the cards in the deck I haven't seen yet. Is there a good way to find the odds of my hand beating his at showdown, assuming his hole cards and all the cards not yet dealt are chosen randomly from the list of remaining cards? The only way I know is to just try a large number of combinations, but that can't be the best way. When I have needed to do this, I've used the Monte Carlo method.

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Recently, I was laid up with a prolonged illness. During that time, I needed to entertain myself. I quickly determined that daytime TV was not worth watching. Instead, I started playing Texas Holdem online.

A few thousand hands later, I determined that the medication I was taking was interfering with my ability to concentrate. This limited the skill level that I could consistently play at. So instead of continuing to play Texas Holdem poorly, I decided to write a software to analyze poker. The first thing I realized I needed was a fast way to iterate through and evaluate Texas Holdem hands.

After searching the net and trying several libraries, I found that nothing met my needs. Native C code was too slow, and the best C library poker-eval was very difficult to connect to C using interop. So I started writing my own C library. After a few days of work, I was able to evaluate a few hundred thousand hands a second. This was several orders of magnitude slower than I needed.

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So I looked at poker-eval again. After working through this gnarly, heavily macroed and table driven C library, I realized that the techniques they were using should work with C. I ported the portion of the tables and evaluation functions that I needed to analyze Texas Holdem. The resulting code is definitely fast enough for most of my needs. The following article walks through using my C variant of the poker.

These tools include:. When analyzing poker hands, doing an exhaustive search quickly is much more straightforward and more accurate than having to do a Monte Carlo simulation or coming up with some clever heuristic. The Poker-eval library appears to be one of the fastest and the most used Poker libraries around. Poker-eval can be found at the poker-eval web page. It is a very fast, heavily macroed C library.


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