Well, I’ve always been a big fan of football, especially when it comes to the matches between Sevilla FC and R.C.D. Mallorca. One day, I decided to dig into the statistics of their games. So, here’s how I did it.
Step 1: Data Collection
First off, I started looking for data sources. I went to some well – known sports websites. I typed in the names of Sevilla FC and R.C.D. Mallorca in the search bar. There were tons of data there, like the number of goals, the possession rate, and the number of shots on target. I used a spreadsheet to copy and paste all the relevant data. I made columns for different stats, such as goals scored by Sevilla, goals scored by Mallorca, and the date of the match. It was like a big puzzle, and I was collecting all the pieces.
Step 2: Cleaning the Data
Once I had all the data, it was a mess. There were some missing values, and some data was in the wrong format. I had to clean it up. I deleted the rows with missing values because I couldn’t use them for accurate analysis. I also converted the data into the right format. For example, if the possession rate was in a string format like “60%”, I converted it to a number so that I could do calculations later. It was like tidying up a messy room before doing something important.
Step 3: Basic Analysis
After cleaning the data, I started with some basic analysis. I calculated the average number of goals scored by Sevilla and Mallorca in their head – to – head matches. I found out that Sevilla scored an average of 2 goals per game, while Mallorca scored around 1.5 goals. I also looked at the win – loss record. I counted the number of times Sevilla won, the number of draws, and the number of times Mallorca won. This gave me a quick overview of which team was stronger in these matches.
Step 4: Deeper Analysis
Then, I wanted to dig deeper. I looked at the relationship between possession rate and goals scored. I plotted a graph to see if there was a correlation. Turns out, in some matches, even though a team had a high possession rate, they didn’t score many goals. It made me think that just having the ball doesn’t always mean you’ll win. I also analyzed the performance of different players. I counted the number of assists and goals of key players from both teams. This helped me understand which players were really making a difference in these matches.
Step 5: Conclusion
After all this analysis, I came to some conclusions. Sevilla seemed to be the stronger team overall, but Mallorca had some good performances too. The data also showed that the game is not just about possession or goals. There are many factors at play, like player performance and strategy. And let me tell you, this whole process was like being a detective, trying to solve the mystery of these football matches. It was a lot of work, but it was really fun to see what the numbers had to say about these exciting games between Sevilla FC and R.C.D. Mallorca.
