Roulette strategy - Biased wheels

Although highly problematic, the best way to beat the wheel is to record a sufficient enough number of decisions to ascertain whether any one number, or group of numbers is biased and then obviously bet on them.

A biased wheel is defined as a wheel where one or some numbers are hitting with a greater than average expectancy. If we take the American double zero wheel as an example, in 38 spins each number has a chance to come up once. For the purposes of exploiting a biased wheel, 38 spins is a mere drop in the ocean and therein lies the problem i.e., time and money…lots of it.

If we use 1,000 decisions as an example, one may ask how many times a number should hit before we can claim bias? On an absolutely mechanically sound, unbiased wheel, randomness is the major factor.

On a biased wheel you would note the same sort of occurrences as but an unbiased wheel, but with two major differences. You would firstly note that a given number, or numbers, did not fluctuate between winning and losing very much, and that as the total decisions increased, the truly biased number(s) would continue to win out of proportion to its or their expectancy. You would of course witness some fluctuation – up or down – but the overall performance would be up – way up in the case of a strongly biased number. If that “up” is constantly sufficient to overcome the casinos edge, then you can say with a degree of assurance that the wheel is biased.

However, the tracker must also bear in mind that to win money at biased wheel play, a number must appear more than once every 35 times in 38 spins, because the casino only pays 35-1. Numbers that appear more than once are the golden numbers and it is these that are the key to the casinos treasury.

However, even on unbiased wheels, some numbers will be winners, and some will be losers merely by chance. It is the job of the wheel tracker, to be able to distinguish, after thousands of spins, which numbers appear at random and which are biased. This is done by recording a sufficiently large number of decisions for you to have confidence in your results.