# The Math behind Betting Odds Explained

Betting comes with its load of fun. It is even more if you are on a winning streak while playing your favourite games. You forget whether there is any mathematical behind the scenes. The thrilling experience that comes with playing the game is sufficient for some players. However, it is crucial to have a primary understanding of probability. It can take your betting experience with Odibet and other bookmakers a notch higher. If you have interests in knowing more, then this article is for you. It is a comprehensive overview of betting math. Through it, you have a solid understanding of the math behind gambling odds.

One thing you should be keen on is probability. It is the likelihood that a particular occurrence will happen in a certain condition. It is possible to express that as a fraction, per cent or odds. Probability is always a number and ranges from zero to one—an occurrence whose chance is zero means that it cannot happen at all.

Take an instance where you are rolling six-sided dice. It has numbers one to six on the side. The probability of rolling a nine is zero. On the other hand, an occurrence may have a probability of one. That means that there is a surety of occurrence of the particular event. Tale an instance of the six side dice again. The probability of getting any number between 1-6 is one.

## Computing probability using occurrences

Calculation of the probability of a certain occurrence, you divide all the possible methods of achieving something by all the occurrences. Take an example where you toss a coin. It has two outcomes which are the tail and the head. Take the head as the occurrence that you wish to calculate the probability.  The first thing you should have is how many ways can lead you to land the head. Since the coin has two sides, it means that the probability of landing either the tail or head is one.

Additionally, the total number of outcomes that you can realize is two. It means that the chance of landing the head is one out of two. Expressing that to a percentage gives 50 per cent.

## Computing probability using odds

The other way of presenting probability is through odds. However, in this case, in particular, you will look at the number of ways that an occurrence fails to happen against the number of ways that it can. For example, on a coin toss, the odds of getting tails is one to one.  For a dice, the odds of landing the side number one are five to one.

Probability and odds are critical in betting. Wagers usually pay at particular odds. If the stakes earn at an equivalent probability of winning, you are at situation known as even money. That means that your victory is 50 per cent of the time. Take, for instance, a scene where you place a stake of \$20 to get a \$20 win on tossing a coin. That’s an even-odd wager. The expectations are that you should break even with time.

Additionally, take a situation where you stake \$20 for the heads, and you happen to bag \$40 on your win. You pocket a substantial amount with time since you 50% of the period; you garner \$40 while your losses are at \$20.

## How do betting sites earn their income?

Betting companies earn their income from the variance between two odds. That is odd they put on a wager and the one that gives you a win. For example, take a scenario where you are betting on a roulette table, and you happen to gamble \$5 on black. A winning occurrence is when it bumps on your selection. However, you are a loser if it falls on green or red.

The American roulette has 38 potential outcomes where 18 of them are black. Therefore, the chance of landing black is 18 out of 38. That is slightly above 40 per cent. It means that the gambling operator will pocket over 50% of the time, and that’s how they get earn their income. The size of the house edge depends on the variation between the player’s winning odds and those that the company pays.

Beginners in the gambling industry have to learn the function of betting odds. It is a guide on how events occur and what they can win. In betting, odds denotes the ration between the amount that the participants in a wagered stake. Therefore, a 3:1 odd means that the gambling operator bets thrice the amount of the gambler.

### Fractional odds

Fractional odds have a slash between two numbers. An example is 5/1. You can use it in computing the likelihood of a certain event. To make the explanation less complex, we can replace the two numbers with letters. We use x to represent five and y to represent one. Therefore, our example 5/1 becomes x/y. The calculation for probability (P) is P=y / (x+y).

Example:

The computation of 5/1 is 1/(5+1), which gives 0.17. The chance that the event will happen is 17%

## Why does the house emerge the winner all the times?

The odds you see are not a true reflection of whether an incidence will occur or not. The payout you receive after a win is always below what you would pocket if the odds echoed true probability. The gambling operators come up with an estimation of the true probability of an occurrence so that the odds they give can allow them to earn an income in any outcome.

Take, for instance, the 2015 Cricket World Cup. The implied probabilities for Australia (-250) and New Zealand (+200) are 71.43% and 33.33%.

The sum of the two is 104.76%. You notice that it disputes the rule that probabilities adds up to 100%. The reason for the variation is because the odds are not honest. There is 4.76% which is the possible profit that the gambling operator pockets. If you decide to stake on the two participants, you are putting your \$104.76 at risk for you to get \$100. Therefore, at all times, the operators incorporate an edge in their odds.

## Conclusion

A gambling opportunity is only worth is the likelihood for a result is more than the implied probability that the operator estimates. Moreover, the odds you find on the betting platforms are not a reflection of the real probability of whether an event will happen or not.