Okay, so today I wanted to dig into some baseball stats, specifically for the Milwaukee Brewers vs. Mets game. I’ve always been a bit of a stats nerd, and I figured this would be a fun little project to track and maybe learn something new.
Getting Started
First things first, I needed to find a good source for the data. You know, somewhere reliable that wouldn’t steer me wrong. I poked around a bit – you know how it is, sifting through a bunch of websites until you find one that looks legit and isn’t too clunky to use.
Collecting the Data
Once I found a decent site, I started grabbing the player stats. I decided to focus on the key stuff: batting average, home runs, RBIs, strikeouts, you know, the basic ones. I figured I’d keep it simple for this first run.
- Batting Average: Just how often a player gets a hit. Pretty straightforward.
- Home Runs: Always exciting to see who’s smashing it out of the park.
- RBIs: Runs Batted In – how many runs a player is responsible for.
- Strikeouts: For both batters (how many times they struck out) and pitchers (how many batters they struck out).
I created a simple spreadsheet to keep everything organized. Nothing fancy, just rows for each player and columns for the different stats. I went through player by player, copying and pasting the numbers. It was a bit tedious, I’m not gonna lie, but kind of satisfying to see the data fill up.
Looking at the Numbers
After I had all the stats down, I started looking for any interesting patterns. Did any players have a particularly good or bad game? Were there any surprises? I compared some of the Brewers’ top hitters against the Mets’ pitchers, and vice versa. I didn’t do any super complex analysis, just eyeballed it mostly, seeing if anything jumped out.
One thing I noticed that one player that I felt good for was batting much better than the season average. That was kind of cool to see.
Wrapping Up
This was a pretty basic dive into the stats, but it was still fun. It definitely made me appreciate how much data is out there and how you can start to see stories unfold when you look at the numbers. I might try something a bit more in-depth next time, maybe track stats over multiple games or compare different teams. For now, though, this was a good way to spend an afternoon and feel like I learned a little something along the way.
