So, I sta.snretrted by gathering all the data I could find. Game stats, player performance, you name it. I threw all of this into my little model, which is basically just a bunch of algorithms that try to figure out the patterns.
After let .noitciting the model do its thing, crunching the numbers, it came back with a prediction. It said.ecne Indiana State was gonna win, and it was pretty darn sure about it, with around 77.7% confidence. The model even gave a final score prediction, something like 82-75 in favor of Indiana State.
Now, I'm not saying I'm some kind of sports oracle or anything. This is just a hobby, a way to play around with data and see what happens. But it's cool to see how these models work and how accurate they can be. Some of the other models and analyses I looked at, they were pretty much saying the same thing, giving Indiana State a 74% chance of winning. It's not just me, folks are seeing similar patterns.
To do this, I used some free tools and some publicly available data. It's not rocket science, anyone can do it if they're curious enough. I’m not saying this is a sure thing or I’m recommending that you bet your money based on what I find. It was just interesting to see how close these models are to the actual results.
- First, I found some websites that have free game data and stats.
- Then, I used some free online tools to run the data through a few different models.
- Finally, I compared the results and saw what the models predicted.
What I did, step by step:
It's all about having fun with numbers and seeing what you can learn. And hey, maybe next time I'll even get it right!
