Okay, so I’ve been messing around with some sports predictions lately, and I decided to take a crack at forecasting Georgia Southern games. It’s kinda become my new hobby – a little nerdy, I know, but fun!
Getting Started
First, I needed data. Lots of it. I started digging around, checking out past game results, team stats, player performance… you name it, I probably looked at it. I spent, like, a whole afternoon just gathering information. I felt like a detective, but for sports!
Building My “Model”
Next, I had to figure out how to make sense of all this stuff. Now, I’m no data scientist, but I’m pretty decent with spreadsheets. I started putting together some basic formulas, looking at things like points scored, points allowed, strength of schedule – the usual suspects. It was messy at first. My first few attempts were way off. Like, predicting scores that were completely unrealistic.
Tweaking and Trying Again
So, I went back to the drawing board. I realized I needed to factor in more variables. I started looking at things like home-field advantage, recent performance trends (are they on a winning or losing streak?), and even tried to get a sense of team morale (which is super hard to quantify, obviously!).
I tweaked my formulas, added some weighting here and there (giving more importance to recent games, for example), and ran my “model” again. This took a few days of on-and-off tinkering. I’d run it, see the results, tweak it some more, run it again… it was a whole process.
The Results (So Far!)
- My predictions are getting better!
- I am not wining all the time, But I’m definitely getting closer with my score predictions than I was at the beginning.
- It’s still a work in progress. I’m constantly learning and refining my approach.
It’s been a fun little project. Maybe I’ll become a sports prediction guru someday… who knows! But for now, I’m just enjoying the process of learning and experimenting.
