Pre-Match Strategies
Pre-match strategies allow you to analyze team behavior before a game starts, using historical data from recent matches. These strategies are ideal when you want to identify patterns early and receive alerts ahead of kickoff.
Pre-match statistics are calculated from each team’s most recent 5 or 10 matches. They help answer questions such as:
- How often does a team score?
- How many goals do they usually concede?
- How consistent are their recent results?
How pre-match data is grouped
Pre-match statistics can be evaluated using three different perspectives:
- Home – matches previously played at home
- Away – matches previously played away
- Overall – all recent matches, regardless of venue
Understanding common pre-match values
Some of the most frequently used pre-match statistics include:
- Match Goals (Total) – the average total number of goals scored by both teams combined in recent matches
- Goals Scored – the average number of goals scored by a team
- Goals Conceded – the average number of goals conceded by a team
When you define a rule using these values, the result depends on the team selection you choose during rule creation (Home, Away, Total, etc.).
Percentages vs averages
All pre-match statistics fall into one of two categories:
-
Percentages
Values between 0 and 100 (or up to 200 when using Sum of Teams) -
Averages
Decimal values such as 2.4, 0.7, or 3.1
Choosing the correct value type is essential to ensure your rules behave as expected.
When pre-match alerts are triggered
Strategies that rely exclusively on pre-match data and/or pre-match odds can trigger alerts at a specific time set by you (e.g. 3 hours, 30 minutes or 15 minutes before kickoff).
This makes pre-match strategies particularly useful for early preparation, planning, and filtering matches before live action begins.