Goals Tab
3 min readThis section gathers all data related to goals, as well as:
- Shots
- Offsides
- Free kicks
Trends
In all tabs, you will find a Trends table. This is an automatic analysis generated by an algorithm that highlights the most relevant statistical data for each team.
As seen in the example:
- Fluminense usually scores between minutes 31 and halftime
- Chelsea tends to score the first goal of the match
This is a dynamic table, meaning the data presented here can vary from match to match. It depends on the teams' data.
Goals Interval Table
This table shows at what moments of the match teams tend to score and concede goals.
Why is it important?
- Allows you to detect pressure moments
- Helps you plan entries in markets like Over Limit or Under based on the match pattern
Example
If a team frequently scores between minutes 31 and 45, it may be a good time to assess a possible increase in offensive pressure. The percentage shown refers to the occurrence of at least one goal (scored or conceded) in the interval.
Important note
It is common to have more goals in the last 15 minutes (76-FT). Therefore, a higher percentage is required to consider that interval as relevant.
Example
If the 31HT and 76FT intervals have the same %, more priority is given to 31HT, because 76FT is usually already a period of greater offensive activity.
If you want to deepen this analysis, check the Instagram post: instagram.com/p/DHLdHIvMvGR
"First to score and...?" Table
Have you ever wondered:
- What happens when a team scores first?
- Do they usually win, suffer the draw, or even lose?
- And when they concede first, do they react well?
This table answers those questions. It is a valuable tool for pre-live and live analysis, as it anticipates likely scenarios.
Practical example
If Chelsea scores first in 80% of analyzed games, but Fluminense tends to draw or turn the match after conceding the first goal, you can consider a scenario of +2 goals in the total match. The tendency for the match to become Over is high.
Shots Table
Here you find data on:
- Total shots
- Shots on target
- Shots off target
- Team averages
- Distribution of shots by time interval
Highlight for the Shots per Goal metric, which indicates the average number of shots needed for the team to score.
This data can be decisive for live betting. If the team has already exceeded the average and is pressing, it may be a good time to enter the goals market.
Predictions Table
In this table you have a simplified view of the combined averages of both teams, divided by:
- End of match (FT)
- First half (HT)
- Second half (2nd half)
It also includes an indication if a certain market is:
- "With Value" - the odd is above the estimated probability
- "No value" - the odd is below the estimated probability
Important
This information is not an entry tip, it only means that the odd offered by the bookmaker is higher than the calculated %. That is, giving the example below, the % for Over 2.5FT is calculated at 40%. Since the odd is the inverse of the probability, 40% corresponds to 2.50. As 2.10 < 2.50, it then appears as "no value". The odd 2.10 is the odd offered by the reference bookmaker.
Example
- The estimated % for Over 2.5FT is 40% (equivalent to an odd of 2.50)
- The bookmaker is offering 2.10 - no value
- For Under (60% probability), the equivalent odd is 1.66
- The bookmaker offers 1.70 - with value
In the Predictions table, the estimated % for Over 2.5FT is 40% and the bookmaker offers odds of 2.10. What does the table show?
Answer to mark this tutorial as done.