When analyzing Soccer, remember the h2h pattern!

When analyzing Soccer, remember the h2h pattern!

When doing sports analysis, there are many different ways. First Odds statistics analysis, second performance analysis, third team statistic data analysis and fourth developing and accessing their own mathematical algorithms.

This is the average analysis of people who do sports bets. right? Today I will explain how to place a bet based on the H2H record. It's simple, but it's very useful because it's true to the basics of betting. Note, I can say that I personally belong to the type of betting that analyzes the data. 

[Image source: 무패공략1x2]

The Excel data example, I'll explain this weekend's epl 9 round Everton vs West Ham. When I look at the H2H data, I'm basically looking at the league to extract league data. And most bets are league matches. League data is the most reliable and the best sample to judge. Do you understand? ^^;

Everton's h2h home game results show that if you break, you're more likely to win the next home game. Everton are losing four games in a league. Away games are too stupid. That's why it's stupid to bet on Everton when you're away. Do you agree with this part?


If you look at the attached picture, they've always won after they broke two consecutive matches. In this weekend's game, I think Everton is very likely to win. This data pattern is simple, but we must use it.

If you look at the league results in the Everton, they rarely lose five straight games. What if you're losing four straight? If your next match is a strong team match, you can lose. But West Ham is not a strong team! ok?

What if Everton couldn't beat West Ham in this home game? You will win the next Revenge home game and you will have to make a strong bet. Remember! 

We can bet by failing. I can't always win. But you have to mirror the failure, find the cause, remember it, and use it in your next race. Did you fail the h2h pattern analysis? Remember it, and use it strongly next time.

good luck..

SAM SMITH - I'm Not The Only One / It's a favorite song on YouTube.