It’s no secret that most gamblers lose money. In the U.K alone, gamblers lost a record £13.8bn (about 30% of it on sports) during 2016! This is a growing trend that will only continue. Most bettors will continue to pick bets based on a feeling or a hunch.
However, bit by bit a small amount of football bettors have started to become intelligent. These people believe that football betting can be predicted by studying and analyzing data. They also use tools such as Sporita to help them with their betting.
Traditionally, bettors wagering on football matches simply read the betting “dirt sheets”, scoured the league form tables, and kept up to date with the latest injuries and suspensions. That is because no other information was available. Nowadays, in the age of big data (Big data is term used to describe the huge amounts of information gathered daily) more and more information has become available. Some of this data such as the average number of corners a team takes per game and the average number of goals scored home/away is pretty simple to calculate. While other pieces of data such as pass completion in the final third of the field, the average interceptions a team makes, and kilometers run in each phase of the game are harder and require special tools. The point is, by analyzing data a bettor’s chances of winning increase, some data can be analyzed by bettors on their own for other more complicated data analysis an advanced betting tool is required.
Not many know that before sacking a manager a team averages about 1 point a game. After the sack the team’s point average raises to 1.5 per game. The Sporita website has a feature that’s called the Sporita Score. It calculates the value of each prediction, and it gives each of prediction a score, from 1 to 10, with 1 being the least reliable and 10 being a perfect prediction. Well, after Alaves fired their coach in early December the Sporita Score for 4 of 5 Alaves’s matches ( Atletico Madrid was the one match that did not receive a high Sporita Score) was higher than 8.2, meaning that that there was value in picking Alaves to win. They went on to win all of these matches. We bet on these matches and won! We then contacted Sporita asking if the fact that Alaves changed their coaches was the reason the website recommended betting on Alaves. In an email response Sporita’s representative wrote: “…while there are many factors that determine each prediction, when examining these specific predictions we’ve found that the coaching change was heavily factored when recommending on picking Alaves to win.”
In order to win, bettors need to become smarter. Studying and analyzing each bet before it’s placed is always necessary. Bettors need to approach the subject of football betting with the same dedication as scientist would approach to solving the greatest mysteries of the universe. Sports bettors now understand that in order to be successful they need data. If you study data you will know more and win more. Use Sporita Big Data Football Predictions to help analyze data, reduce risk and increase your profits.
