Today, with the explosion of data volume, big data technology is applied to various industries, showing its unique charm to all walks of life. So what kind of chemical reaction will be produced when big data is applied to football betting in Beijing? In the era of weak informatization, when analyzing the trend of a football game, various data will be used, including European odds, Asian handicap data, etc. The most troublesome thing is that the data sources are scattered and cannot be collected. As a result, there will be a lot of errors in reading and analyzing the handicap, and it is time-consuming. Now that we have entered the era of artificial intelligence, a single football field should also keep up with the trend of the technological era and break the tradition. How to read the market? How to analyze handicap data? Everything is handed over to AI software, the analysis is not only simple but also the accuracy rate is greatly improved.
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extraction code: yb0u
The magic of big data in football matches, let’s use a few Premier League games where the handicap was tied as an example to analyze
Example 1
Premier League Southampton 3:1 Wolves Match time: 2019-04-13 10:00 Football handicap index: 0.80 Tie 1.06 (Yishengbo)
Big data conclusion: The home team is unbeaten.
Example 2
Premier League Leicester City 3:0 Arsenal Match Time: 2019-04-28 19:00 Football Handicap Index: 0.98 Tie 0.88 (Yishengbo)
Big data conclusion: The home team is unbeaten.
Example 3
Premier League Manchester United 3:0 Chelsea Match Time: 2019-04-28 23:30 Football Handicap Index: 0.90 Tie 0.96 (Yishengbo)
Big data conclusion: The home team is unbeaten.
The use of big data technology can dig out many valuable high-probability events in the football handicap data. I will not give examples one by one here. Those who are interested can use the data mining by themselves. Believe in the power of AI technology, the accuracy is far away more than artificial.