Okay, so today I wanted to dig into the Yankees versus Mariners game and pull out some player stats. It’s something I’ve been meaning to do, and I finally got around to it. Here’s how it all went down.
Getting Started
First things first, I needed to find a good source of data. I mean, you can’t just pull stats out of thin air, right? I started by just googling “Yankees vs Mariners box score” and a bunch of options popped up. I’ve had good experiences with some dedicated sports data web pages,so i choose it this time.
Finding the Data
Once I got to the page, it was pretty straightforward. They had a whole section dedicated to game results. It took a little clicking around, but I found the specific Yankees-Mariners game I was looking for. The box score was right there, with all the basic info – hits, runs, errors, the works.
Diving Deeper into Player Stats
But I wanted more than just the basic box score stuff. I wanted individual player stats. Luckily, the site made it easy. Right there on the box score page, they had tabs for each team, broken down by batter and pitcher. I clicked on the Yankees’ “Batting” tab and boom – there was a table with every player who batted, along with their stats: at-bats, runs, hits, RBIs, walks, strikeouts, all that good stuff.
I did the same thing for the Mariners’ batters, and then I flipped over to the pitching tabs to get the stats for each pitcher: innings pitched, hits allowed, runs allowed, earned runs, walks, strikeouts. Again, super easy to find.
Organizing the Information
Now, I had all this data, but it was just on a webpage. I wanted to be able to play around with it, maybe compare players, do some sorting, you know? So, I decided to copy and paste the tables into a spreadsheet.
This part was a little clunky. The formatting didn’t always come across perfectly, so I had to do a bit of manual cleanup. Some of the column headers were messed up, and I had to make sure all the numbers were actually being recognized as numbers by the spreadsheet program. But hey, it wasn’t too bad, just a little bit of extra work.
Analyzing and Playing with the Data
Once I had everything nicely organized in my spreadsheet, that’s when the real fun began. I started sorting by different stats – who had the most hits, the highest batting average, the lowest ERA for the pitchers. It was cool to see everything laid out like that, and it gave me a much better sense of how each player performed in that particular game.
- I could easily see who the star hitters were for each team.
- I could compare the starting pitchers and see how they stacked up.
- I could even look at things like strikeout-to-walk ratio to get a sense of a pitcher’s control.
Final Thoughts
Overall, I’m pretty happy with how this little project turned out. It was surprisingly easy to find the data I was looking for, even if the copying and pasting part was a bit tedious. And now I have this neat little spreadsheet that I can use to analyze the game in more detail. I might even do this for other games in the future – it’s a fun way to get a deeper understanding of what’s going on.
