How to Always Win Sports Betting: 3 Step Guide
Sports big data analysis mainly includes 3 steps:
The first step is the collection of data
The second step is to list and compare the data
The third step is to combine sports data with index data
Among them, the collection of sports data is the step with the largest workload and the highest work intensity. Currently we collect four main data. They are the time distribution of goals won and lost, the tactical distribution of goals won and lost, the regional distribution of goals won and lost, and the regional distribution of assists/assists. The reason why these four elements were selected for collection is also to get as close as possible to the football game itself. The first point is time distribution. A 90-minute game. Professional teams will arrange offense and defense rhythmically according to their own characteristics and the situation of their opponents. A team's high scoring period and conceding period are not accidental, and must be related to the team's arrangements and characteristics. The second point is tactical distribution. How goals are scored and how goals are conceded is no accident. It is determined by the head coach's tactical arrangements and personnel characteristics. Similarly, the reason why the head coach arranges specific tactics is also due to the characteristics of personnel in different positions. The third point, the area of the goal and the assist/assist area is also related to the team's tactical arrangement.
Basically, by counting the above four points, you can basically understand the team's offensive and defensive rhythm, tactical characteristics, personnel characteristics, and in which areas or areas the team has advantages or disadvantages. Then in a game, by superimposing the same elements of the two teams together, we can see whether the advantages and disadvantages of the two teams are obvious in a certain item. Then you can judge the real sports advantage of the game. This concept of the superior side in sports is different from our traditional consciousness that if you lead in points or have a better record, you must have an advantage. Even teams as strong as Bayern and Dortmund do not have a sports advantage over every team in the league.
The concept of the dominant side in sports can help us establish the real premise of having a high probability of winning (or undefeated) in a game. However, what we must know is: the data we can capture through simple means is no difficulty for professional clubs. Therefore, the head coaches and tactical analysts of professional clubs will also know the opponent's situation and their own situation. In this regard, sports organizations with certain strength must have clearer insights than our pure sports data analysis.
Therefore, if we judge the results of the game purely based on the sports advantage, it still seems a little thin. Next, we have to make an auxiliary judgment based on the index given by the sports organization. At present, the method we adopt is to observe whether the data given by the sports organization positively supports the dominant side after establishing the sports dominant side. If the data surface is positively supported, then we judge that the dominant side can play; if the support is not enough, then we judge that it cannot be played or give up.