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Roulette's R+evolution: The Prediction Power (Paperback)

Roulette's R+evolution: The Prediction Power Cover Image
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Description


Introducing a revolutionary new prediction method, for roulette wheels, called dynamic projection method (DPM). This has revolutionized the way in which the player has historically faced the probabilities to play roulette. This system provides the essential tools, for analysis of data generated by any casino roulette, using artificial acceleration mechanisms, thus reducing 95%, the sampling of key data for individual analysis, of a spinner, and increasing up to 10 times the accuracy, on an event prediction. These methods analyze the roulette differently than traditional techniques hitherto known, so finding a spinner with exploitable flaws, also called (BIASED WHEELS), is very hard to find today. This latter technique, considers the imperfections in a wheel, usually insignificant, when to get satisfactory results, or advantage, considering that today's casinos, monitor the behavior of their spinners, aligning and balancing regularly, thereby gaining considerable uniformity in the outcome of their statistics. It would be easier to find a dinosaur alive in our times, that meets one of those (biased wheel). They (biased wheels) belong to the past. Given this reality, we can conclude that the systems were successful yesterday, but today, simply will not work. With this new system, you will be one step further in the changing dynamics of probabilities. At par in the evolutionary process, of predictive systems. Unlike the (DPM) focuses on benefits for the player, taking advantage of the possibility of occurrence that has certain numbers at specific times of the game, in what is known as: MOMENTUM.

About the Author


Tim Duncan's passion is the development of gaming systems that optimize the chances of asierto, when betting on a roulette wheel. He was born in Connecticut, U.S.

Product Details
ISBN: 9781478708612
ISBN-10: 1478708611
Publisher: Outskirts Press
Publication Date: July 16th, 2013
Pages: 260
Language: English