Ned XI vs Hun Player Stats: See the Full Breakdown – Every Goal, Every Assist!

Home » Ned XI vs Hun Player Stats: See the Full Breakdown – Every Goal, Every Assist!

Okay, so I wanted to dig into the stats for the players from the Netherlands (NED) and Hungary (HUN), a real showdown. Here’s how I went about it.

First off, I needed to get my hands on some data. You know, the usual—goals, assists, tackles, the whole nine yards. I started by scraping a few football stats websites. It wasn’t too bad, just had to write a couple of Python scripts to pull the info I needed. Once I got the raw data, I stored it in a CSV file. Pretty standard stuff.

Next up, I fired up my trusty Jupyter Notebook. Time to clean up this data. There were a few missing values and some inconsistencies that needed fixing. I used Pandas for this, it’s a lifesaver for data wrangling. Replaced some missing data with averages, dropped a few rows that were just too incomplete, and made sure everything was formatted correctly.

Ned XI vs Hun Player Stats: See the Full Breakdown -  Every Goal, Every Assist!

Now for the fun part—analyzing the data. I wanted to compare the key performance indicators between the two teams. So, I grouped the data by team and calculated the averages for goals, assists, and other important metrics. I also looked at the top performers on each team. It was interesting to see who was really making an impact.

Here’s a little breakdown of what I found:

  • Netherlands: These guys are pretty solid when it comes to scoring. Their average goals per game were higher than Hungary’s. Their top scorer, I had to go and see how many goals they had compared to others.
  • Hungary: They seemed to be a bit more focused on defense. Their tackle success rate was impressive. I compared a couple of the top defenders using different filters.

To make it all a bit easier to digest, I created some visualizations. Bar charts to compare team averages, and scatter plots to look at individual player performances. Matplotlib and Seaborn are my go-to libraries for this. The charts really helped to highlight the differences and tell the story of each team’s strengths and weaknesses.

After all that, I put together a little report summarizing my findings. Nothing too fancy, just a simple document with the key insights and the visualizations. It was a good exercise to go through the whole process, from data collection to presentation. Plus, now I’ve got a better understanding of how these two teams stack up against each other.

My Conclusion

It was a neat little project, and it’s always cool to see what you can uncover when you dive into the data. I mean we all love the games, but sometimes you need to look under the hood, ya know.

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