Okay, so I’ve been messing around with some LeBron James stats projections, and I wanted to share what I did and how it all went down.

Digging into the Data
First things first, I needed data. Lots of it. So, I started scraping whatever I could find. Game logs, season averages, you name it. I was pulling numbers from everywhere.
Once I had a good chunk of data, I started organizing it. I mean, it was a total mess at first. Just a bunch of numbers splattered all over the place. So, I organized it into a spreadsheet to make things easier.
Playing with the Numbers
With everything nicely organized, it was time for the fun part – actually making the projections. I started simple, just looking at his average points, rebounds, and assists from recent seasons. It was cool to see those numbers lined up.
- I started with simple averages.
- Then I looked at trends over time.
- I even tried factoring in things like his age.
I played around with a few different methods. Tried to see if he was slowing down, speeding up, or pretty much staying the same. Just kinda eyeballing it at first, you know?
Tweaking and Refining
After messing with the basic averages, I started getting a little fancier. I mean, it’s LeBron, so you gotta account for more, right? So I started thinking about things like his age, minutes played, maybe even opponent strength.

It took some tweaking. I’d adjust one thing, see how it affected the projections, then adjust something else. It was a lot of trial and error, honestly. But it was kinda fun seeing how each change shifted the numbers.
The Final Results (Kinda)
So, after all that, did I come up with some magic formula that perfectly predicts LeBron’s stats? Nah, not really. But I did get a better sense of what’s realistic to expect. I came up with what, to me, seems to be a more reasonable range for his stats.
The main takeaway? It’s tough to predict the future, even for a player as consistent as LeBron. There are just so many variables. But, it’s a fun challenge to try, and you definitely learn a lot about the game along the way.
It ain’t exact science. But it gives you something to think about, and something to go back and adjust as the season goes on.