Okay, so today I decided to dive into the stats from the Timberwolves vs. Golden State Warriors game. I’ve been trying to get better at tracking player performance, and this seemed like a good match to analyze.
Getting Started
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First things first, I needed to find a reliable source for the game data. You know, somewhere that wouldn’t take forever to load and had all the numbers I wanted. There are a few sites out there, but I went with one I’d used before because I know it’s usually accurate. I can never remember all those stat abbreviations, so I had to be ready to double-check some things.
Collecting the Data
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Once I found the game, it was time to start collecting the data, which can be a bit tedious to do on your own. I opened up a new spreadsheet – gotta keep things organized, right? I decided to focus on key players from both teams. You know, the guys who usually make the biggest impact. I made columns for stuff like:
- Player Name (obviously!)
- Points
- Rebounds
- Assists
- Steals
- Blocks
- Field Goal Percentage
- Three-Point Percentage
- Free Throw Percentage
Then, it was just a matter of going through the game stats, player by player, and filling in my spreadsheet. Took a bit of time, going back and forth between the website, and making sure I didn’t mix up any numbers.
Crunching the Numbers
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After getting all the raw data down, I wanted to see if I could spot any interesting trends. I wasn’t looking to do any super complicated analysis. Just some basic stuff.
So I created another table and put in the info I wanted to observe.
Observations
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There was nothing that surprised me.
After collecting all the data, it was a good data recording process.
