Okay, so I got this idea to make a thing that could kinda guess who’s gonna win NFL games. I’m no expert, but I figured, why not give it a shot? It’s all just for fun, anyway.

Getting Started
First, I needed, like, a ton of data. You know, scores, stats, who played who, the whole nine yards. I poked around the internet and found some websites that had all this stuff neatly organized. Nice!
The Brains of the Operation
Now for the tricky part. I had to somehow teach a computer to look at all this data and make predictions. I’m not gonna lie, I had to do a lot of Googling. I messed around with some, uh, “machine learning” stuff. It’s basically like showing a kid a bunch of pictures of cats and dogs until it can tell the difference. Only, instead of cats and dogs, it’s football stats.
- I started by feeding the data to system.
- Picked an easy model to understand.
- Trained the model with data from football games.
Making it Work
After some trial and error (and a lot of coffee), I managed to get something that could spit out predictions. It wasn’t perfect, of course. But it was doing something. I basically told the system, “Here’s two teams, now tell me who you think will win.” And it would give me an answer, along with some, like, probability percentage thing.
Testing, Testing…
I spent a while just plugging in different teams and seeing what it would say. It was kinda fun to see how it thought different matchups would go. Sometimes it made sense, sometimes it was way off. But hey, that’s football, right? Anything can happen.
The Final Result
So, I ended up with this little program that can make NFL predictions. It’s definitely not gonna make me a millionaire gambler or anything. But I created it, and the system can give me predictions! I learned a bunch along the way, and I think it will become great after feeding more data.

I am still improving the system, but I’m excited about the progress.