Okay, folks, let’s dive into my little experiment today with the “cle vs mia mlb” game. I’m no expert, just a guy who likes to tinker with data and see what shakes out.
First things first, I needed to get my hands on some data. I started by poking around various sports stats websites. Honestly, it was a bit of a mess. So much information, so many different formats… it took a while to find something I could actually work with.
After a bunch of digging, I managed to scrape together some game data. I focused on things like recent team performance, runs scored, runs allowed, that kind of stuff. Nothing fancy, just the basics.
Next, I dumped all that data into a simple spreadsheet. I’m no spreadsheet wizard, but I know enough to get by. I created a few columns for the key stats I wanted to track.
- Team: Cleveland and Miami, obviously.
- Recent Wins/Losses: Just a simple count of their last few games.
- Runs Scored: Total runs in recent games.
- Runs Allowed: Total runs given up in recent games.
Then, it was time for some very basic calculations. I figured out the average runs scored and allowed per game for each team. Again, super simple stuff.
Based on my extremely rudimentary analysis, I tried to predict a winner. I wasn’t expecting miracles, just trying to see if there was any obvious trend.
The final predict, well, based on the pure number, just slightly different. I won’t share with you.
My Takeaway
This was more of a learning exercise than anything else. I realized how much more data and sophisticated analysis would be needed to make any kind of real prediction. It was fun, though! A good way to spend a few hours, and it definitely got me thinking about how much goes into sports analytics.
