How to filter Daily Games
How to use the Pregame tool to help you create a filter and see the football games of the day with their respective markets, statistics and streaks that you set in your active profile. To learn about the creation of profiles we recommend you see the tutorial about it.
This list of football games of the day can be filtered with 4 categories of filters that we are going to explain.
Click on Add filters” to view this window.
a. Market filters
Here we can filter the coupon markets according to three subcategories
1.Real odd range→ We filter the coupon by the real odd, for example we can filter the Team 1 (FT) market so that the real odd is between @ 1.7 and @ 2, which would represent a probability filter between 58.8% and 50%.
The real odd with which we work is the one we have assigned in the active profile, to learn more about this we recommend visiting the Account Administration tutorial.
To convert an odd to a percentage or vice versa you can use any odd converter available on the internet
2.Odds range→ We filter by the bookmaker’s odds. For example, we can filter the Draw (FT) market to show us only those matches in which the bookmaker has a odd greater than 3.
3.Value range→ We establish minimum and maximum value ranges for each market. For example, we can filter so that the value of the Team 1 (FT) market is positive, that is, a minimum value of 0.
These filters would be as follows:
b. Statistics Filters
In this section we can filter the football games of the day by the statistics that we have included in the coupon. In addition, the filter can be applied only in the statistics of the home or away team, or combining both of them.
Then we have the Sample section, where we can establish minimum and maximum limits of games to filter the statistics.
For this example we are going to filter for a minimum average number of shots on goal between the two teams greater than 10 and that the home team has at least an average of 4 corners.
c. Streak Filters
Here we filter by streaks setting minimums and maximums. Currently the filter affects both the local and the visitor.
For example, we could put a minimum winning streak of the home team of at least 2.
d. Misc Filters
In this section we have two main filters
1.PPG filters→ Filters by average points per football game of the home and away team
2.Sample (Real Odds)→ Filter of parties to consider in the real odd. For example, it is used to establish a minimum number of matches needed in the sample for the match to appear. In a practical example we could put a minimum of 10 games in the sample to avoid the beginning of the league if our actual real odd is from the current season.
In this case we could put a filter in which the local team has at least an average of points per game of 1.5 and that the sample of the real odd has at least 10 games.