One of the most popular sports betting system is called the multiple regressions. This system is based on historical facts, making it one of the most reliable sports betting system used by top punters. In this article, we are going to take a look at how to use multiple regressions to predict a match.
Let’s just say you are planning to bet on Arsenal in a match against Manchester United. First, you need to gather the necessary historical data and calculate the odds carefully. The historical data you need to have includes wins, losses, win to loss ratio, home game record, away game record, past ten game outcomes, win or loss streaks, injuries, and of course team changes.
Focus first on the win-lose records of each team, and continue by looking into the win to loss ratio. Make sure you compare wins and losses from two point of views: the wins and losses of the team in the competition the next match is part of and the same records for this season in general.
Home game record and away game record will definitely influence the team’s relative strength depending on the venue. If the venue is a neutral ground, then you only need to look into the away game record.
Check the past ten games between the two competing teams. You should be able to get a clearer view of what to expect. Last but not least, take into considerations external factors such as the team’s mental state – from the win or loss streaks they have been having – and of course injuries as well as team changes.