Dispersion is a means of describing how spread out a set of data is (usually mean root square deviation is considered to be the benchmark but we will use this term for our betting needs exclusively). To make the explanation more vivid let’s take a coin and flip it 10 times in row. What will the results be? You’ll hardly ever get 5 heads and 5 tails facing up. More often there will be 7 head sides and 3 tail sides (70% against 30%) or 2 heads and 8 tails (20% against 80%) or maybe 6 heads and 4 tails (60% against 40%). And if we flip the coin 10000 times, it will probably land 4980 times with its heads sides facing up and 5 020 with its tails sides up (49,8% against 50,2%) which is almost equal 50% to 50% odds.
Coin tossing and dispersion
50% heads and 50% tails will be the normal distribution in coin flipping results. But if the number of flips will be very small we shall not see such a result. We’d rather get something mentioned above (let’s say 70% against 30%). But with the increase of flips we’ll soon reach the right distribution of the coin landing sides.
Now let’s come closer to Dotennis service. We made 555 bets and won 58% of them (dotennis.stat) with the average betting odds being 1.85 (to be profitable at the odds of 1.85, one should win more than 54% of the bets). It means that our service turns out to be successful in the long run. But unfortunately sometimes we had the series of 80% winning bets as well as only 25% profit-driven tips. So if we single out some of our 555 bets we’ll see both very successful series and losing ones.
Graphical representation of dispersion
When we make a graphical representation of our bets we get a straight line with moderate fluctuations, while the shorter period (let’s take 20 bets) will be unpredictable.
Nevertheless, the fact that Dotennis service is quite a success in the long run is very important. Usually 60-61% of all our tips will bring you to additional profit. And it’s high time to join us in order to beat the bookies. You’re welcome!
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Davidquot03 Apr 02:32
Thanks for the post!
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