Alright, let’s dive into this skyy moore game log thing. I’ve been messing around with it, trying to figure out what’s what, and I figured I’d share what I’ve learned so far. It’s not perfect, but it’s a start.
First off, I started by just looking at the raw data available. I grabbed some publicly available stats – you know, the usual catches, yards, targets, that kinda stuff. Then I was like, “Okay, cool, I have numbers. Now what?”
So, I decided to try and visualize it. I’m not a data scientist or anything, just a regular dude, so I went with what I knew: spreadsheets. I dumped the data into a spreadsheet and started messing with charts. Bar graphs, line graphs, the whole shebang.
Here’s what I did step-by-step:
- I grabbed the game logs from a sports stats website. Took a bit of digging to find a decent one that wasn’t too paywalled.
- Next, I cleaned the data. This was the most annoying part. You know, fixing typos, making sure the formats were consistent, that kind of junk.
- Then, I imported the cleaned data into my spreadsheet. Google Sheets, nothing fancy.
- After that, I created some basic charts. Tried to see if there were any obvious trends – like, does he perform better at home versus away games? Does his performance change based on the weather?
It was pretty basic, but I started to see some stuff. Like, he seemed to get more targets in games where the Chiefs were trailing. Makes sense, right? They’re probably throwing more when they’re behind.
Digging Deeper
But that wasn’t enough. I wanted to see if I could predict his performance. That’s where it got tricky. I looked into some basic predictive modeling. I even tried to learn some Python to do some proper analysis, but I’m still pretty new to that.
I tried to build a simple model based on things like the opponent’s defensive ranking against wide receivers. Didn’t work too well, to be honest. The model was way off most of the time. I think I need way more data, and probably better algorithms, to get anything useful.
Here’s what I learned:
- Data cleaning is crucial. Garbage in, garbage out, as they say.
- Visualizations help. Even simple charts can reveal patterns you wouldn’t see just looking at numbers.
- Predictive modeling is hard. Don’t expect to build a perfect prediction engine overnight.
So yeah, that’s my skyy moore game log adventure so far. It’s still a work in progress, but I’m learning as I go. Maybe next time I’ll try to incorporate some advanced stats or something. Who knows? Stay tuned!
