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4

I have over 1M hands in my poker database and everything holds true for the RnG of any site. Stats I can look up are frequency I get hands like AA and odds of calling and shoving all in's. Everything is fine and well within the norm. The RnG is the same for all, there are no juiced hands. As vlzvl says if you lose regularly then the only person to blame is ...


4

When you see such post-flop aggression from an opponent, you want to take a look on post-flop stats like AF and specifically in what frequency this guy bets in every street. The VPIP/PFR you posted doesn't really describe his play. Although the sample you have is small; ~60 hands are not that descriptive for the play made by Villain. Personally, and because ...


3

One of the troubles with this hand is you can't narrow his range pre-flop. He's seeing a lot of flops anyway and since he's defending his blind his range will likely be even higher than normal. Pre-flop he can have almost any hand. FLOP He raises your strong looking 3/4 pot bet and you call. Since he is aggressive (from his pre-flop stats at least) it's a ...


2

"Anyone who considers arithmetic methods of producing random digits is, of course, in a state of sin." - John von Neumann, 1951 The short answer: If your player knows your seed, in theory he can predict the outcome of the randomizer. In practice, you want to reseed your randomizer with a random seed that is very difficult to guess. If the seed is static ...


1

I don't like the raise on the SB, I would just fold this hand pre-flop, because of the bad position. On the flop he might have a 2P or better, or be bluffing. On the turn, your Raise is very bad, considering the logic on the flop. Since he either has you beat, or has a bluff, rereraising here will only drive out worse hands. (I guess he could also have K3 ...


1

In Java, when you use Math.random() multiple times, Java only creates the Random object one time. When a large number of random numbers are drawn from this seed, it should in theory be possible to predict the next random number with some amount of precision. However, you can easily circumvent this by generating a new seed every so many random numbers, or ...



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