Today, I wanted to mess around with some player projections, specifically for Mikal Bridges. I’ve been hearing a lot of chatter about him, so I figured, why not dive in and see what the numbers say? This wasn’t some super scientific project, just me, my computer, and a bunch of stats.
First things first, I gathered all the data I could find on Bridges. I dug through game logs, season averages, and even some advanced metrics. It was a bit of a data dump, but hey, that’s part of the fun. I wanted to get a really good picture of how he’s been playing, what his strengths are, and where he might be heading.
After collecting all the numbers, I started crunching them. I looked at his points per game, rebounds, assists, all that good stuff. Then, I started playing around with different scenarios. What if his minutes increase? What if his usage rate goes up? You know, just trying to see how those changes might affect his overall output.
- Checked his scoring trends over the past few games.
- Compared his home and away splits.
- Factored in some recent team changes that could impact his role.
I spent a good chunk of the afternoon tinkering with different models. It wasn’t about being 100% accurate, but more about getting a general sense of what’s realistic for Bridges. Honestly, it’s pretty cool to see how even small adjustments can lead to some big differences in projected stats.
By the end of it all, I had a few different projection sets that I felt pretty good about. It was a fun little experiment, and it definitely gave me a better appreciation for what Bridges brings to the table. Who knows if these projections will actually pan out, but it’s always interesting to make some educated guesses and see what happens! Maybe I’ll revisit these in a few weeks and see how I did. It’s all part of the learning process, right?
