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Andreeva vs Gracheva Predictions: Expert Analysis and Tips

admin@cpwss2d by admin@cpwss2d
04/10/2025
in Tennis
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Andreeva vs Gracheva Predictions: Expert Analysis and Tips
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Okay, so today I wanna talk about something I was messing around with – the Andreeva vs. Gracheva tennis match data. It’s not exactly rocket science, but I learned a few things, and figured I’d share.

Andreeva vs Gracheva Predictions: Expert Analysis and Tips

First off, I grabbed the data. I just searched for “Andreeva vs Gracheva tennis match stats” and found a few sites with the info. I ended up copy-pasting it into a spreadsheet. Messy, I know, but it worked. No fancy APIs or anything this time.

Then I started cleaning it up. The raw data was all over the place. Some columns were missing, some were mislabeled, and the formatting was a nightmare. So I spent a good hour just fixing that stuff. You know, standard data cleaning chores. I used Excel for this, mostly because it’s what I had open.

After cleaning, I tried to extract some insights. Like, what were the key differences in their serving stats? How about their return game? I calculated some percentages, like first serve percentage, break point conversion rate, etc. Nothing too complex, just some basic arithmetic.

I also looked at the head-to-head records, if available. See if there were any patterns. Did one player consistently beat the other? Did home court advantage play a role? This kind of thing.

Here’s a breakdown of what I looked at:

Andreeva vs Gracheva Predictions: Expert Analysis and Tips
  • Serve stats: First serve percentage, ace count, double faults.
  • Return stats: Break points won, return points won.
  • Overall stats: Total points won, winners, unforced errors.

I also tried visualizing the data. I used a simple bar chart to compare their serve stats side-by-side. It made it easier to see who had the edge in each area. I used Google Sheets for this, pretty basic stuff, but it got the job done.

Here are some of the tools I used:

  • Excel (for data cleaning)
  • Google Sheets (for calculations and visualization)

In the end, it wasn’t anything groundbreaking, but it was a fun little project. I got to practice my data cleaning skills and learn a bit about tennis stats along the way.

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