# Fixed Percentage – Description of a sports betting strategy

Sports betting strategies

On the Internet, you can find a description of more than a hundred betting theories, of which only 15-20% can be attributed to the number of workers capable of giving a bettor an opportunity to earn money at a distance. And among these work areas, the most popular strategy is the “fixed percentage”.

The strategy is somewhat similar to flat, but the principle of operation here is slightly different. Let's consider it.

Content

1. The essence of the strategy
2. How to use the strategy?
3. Safety bets
4. Golden mean
5. The risky approach
6. conclusions

## The essence of the strategy

The entire user's game bank is 100%. Bettor determines how much he will bet each time: experienced players usually bet 3-5%, considering this size to be the most optimal. Let's say the bankroll is 1000 rubles. We decided to bet 5% – 500 rubles. Having made the first bet, if he wins, the bank becomes 10,500 rubles. The next bet amount is 525 rubles. This is the first plus of the theory, with an increase in the case of a series of winning the game bank, the amount of the bet and the potential win gradually increase.

If the first bet is lost, the pot becomes equal to 9500. The next bet amount is 475 rubles. This is another plus of the theory. In the event of a losing streak, the bet amount gradually decreases and the potential financial loss decreases.

Young bettors also often put a fixed percentage on one bet, but many of them make a gross mistake – they put about 10% of the deposit at once, which is very dangerous.

Why do power users choose 4-5%? The answer is hidden in one well-known phenomenon of betting – with an active game in a bookmaker's office, even the pros periodically have a protracted series of losses, 10-12 bets long. Now let's imagine that a young user bets 10% of the game bank every time. With 10 losses in a row, he will have around 35%. As soon as the winning streak begins, the bettor has too small a pot left to try to win back everything previously lost and get a profit.

## How to use the strategy?

Now it remains to find out what percentage of the bankroll and in what situation it is better to put down. It all depends on the level of the coefficient.

Users are divided into several categories:

• Betting with excessive safety net: they play within 1.4-1.7;
• Using risky theories – from 2.5 and up;
• The golden mean, which includes the majority of betting fans: they rarely insure themselves and do not take much risk, betting in the range of 1.7-2.5.

Let's consider each approach in more detail.

### Safety bets

The used safety net significantly reduces the risk of losing, it is often used in betting on outright outsiders, when the bookmaker's analysts greatly overestimated the quotes for the “total”.

The match Bayern-Paderborn is a classic football betting situation: the leader of the German Bundesliga, in good shape, takes on a complete underdog in the championship. It is in such matches that bookmaker's analysts make the leader of the championship an outright favorite, and a huge army of young users powerfully loads the negative head start of the hosts.

But in betting there is one frequently recurring regularity: in matches of this nature, the leader of the championship often wins by 1-2 goals, which allows him to play promisingly on the positive handicap of an outsider. This pattern is based on the psychology of the players of the leading team: when meeting with a frankly weak opponent, the players subconsciously relax a lot.

Knowing this situation, a cautious user will bet with a safety net – on H2 (+4), for which BK 1xBet gave 1.52.

The probability of losing is frankly low, and if you bet a small amount, then the potential gain is small. For this reason, when using excessive safety net, it is worth betting 5% (maximum 6%). The low probability of losing allows you to risk a large amount, which allows you to count on a high win.

### Golden mean

Users who do not like to use a safety net, but also avoid excessive risks in the framework of the above-described match, would choose H2 (+2.5) with a coefficient of 2.56. Many experienced players remember that in such matches the outspoken favorite outplay the outsider by 1-2 goals, and it is for this reason that they would have chosen the designated positive handicap of Paderborn.

In this case, the risk of losing increases, but the potential net profit also increases, because the coefficient increased from 1.52 to 2.56. When playing on such quotes, you can reduce the fixed percentage to 4%.

### The risky approach

The risky guys would definitely bet on Away (+1.5) at the odds of 4.5, or they would choose Away (+2) for 3.6.

In such a situation, the risk of losing significantly increases, but the potential net profit also greatly increases. When playing on such numbers, it is worth risking an even lower percentage of the game bank – 3% (some users choose 2%).

With a high risk, a protracted series of losses, this is a common case, in such a situation it is better not to risk a high percentage of the bankroll.

A number of users actively use the “Fixed Income” theory, which is discussed in detail in a separate review. Its essence lies in the fact that the user is constantly repelled by the size of the win, where the degree of risk is not always taken into account. When using flat, the degree of risk is taken into account more, and then the size of the potential net profit. Chasing big winnings, forgetting about the risk, you can end up with zero on your gaming account. Keeping in mind the risks and, on the basis of this, commencing the amount of the bet and the potential winnings, you can safely go on the distances with a plus. It is for this reason that experienced players choose flat.

## conclusions

The size of the flat directly depends on the bettor's playing style and the theory he uses. From all of the above, only one important conclusion can be drawn: the bettor must learn to correctly compare the level of risk and coefficient with the stated percentage of the bank. By betting a high percentage of the bankroll at a high degree of risk, the user risks losing all his finances in a short time.