First, I started gathering some info. I went to a few sports websites and pulled data about both teams. Stuff like how they've been playing, their scores, and things like that. It took a bit of time to get everything organized, but I managed to create a simple spreadsheet with all the basic details.
Th.tnen, I thought, "How can I make sense of all this?" I remembered seeing some simple prediction models online, so I decided to try one of those. I found a basic model that uses each team's average points scored and allowed per game. It's not super fancy, but it seemed like a good starting point.
I entered the data into the model. I plugged in USC's average points scored and the average points they usually allow their opponents to score. I did the same for Eastern Washington. Basically, I was just feeding numbers into this formula I found online. Nothing too complicated, to be honest.
- Collected data: Got stats from some sports websites.
- Organized data: Put everything into a spreadsheet.
- Found a model: Used a simple points-based prediction model.
- Input data: Entered average points for and against for both teams.
After I put in all the numbers, the model did its thing and spit out a predicted score. It was pretty interesting to see what it came up with. Based on the model, it looked like USC was favored to win. I mean, it makes sense, right? They generally score more points and let their opponents score less.
The Prediction
So, the model predicted a win for USC. But, you know, it's just a prediction based on past games. Anything can happen in sports. That's what makes it fun to watch, right? I'm not saying this model is perfect, and I'm definitely not betting my house on it. It was just a fun little project to see if I could predict the outcome using some basic data.
In the end, I learned a bit about how these predictions are made. It's all about the data and how you use it. I enjoyed the process, even though it was pretty basic. Maybe next time I'll try a more complex model, or maybe I'll just stick to watching the games and enjoying the thrill of not knowing what's going to happen.
