Okay, let me walk you through this little project I did, focusing on Angel Garza. It wasn’t anything official, just something I got curious about.
Getting Started
So, I was watching some wrestling, you know, just chilling. And Angel Garza caught my eye. He’s got this flashy style, rips off his pants, the whole deal. It got me thinking, is there a pattern to his matches? Like, does he win more with certain moves, or maybe his performance changes depending on the opponent type? Just random curiosity, really.
First thing I did was try to gather some info. I figured I’d just look up his match history. Seemed simple enough, right? Wrong. Finding consistent, detailed data was a pain. Some sites had wins and losses, sure, but getting details like match length, specific moves used leading to a pinfall or submission, that was tough. It was all over the place.
The Messy Middle
I spent a good chunk of time just trying to piece together a decent list of his matches from the last couple of years. I ended up manually noting stuff down from match recaps and watching clips. Talk about tedious! I wasn’t looking for super deep analytics, just some basic trends.
- I tried focusing only on televised matches, thinking that would be easier to track.
- Then I narrowed it down further, just looking at singles matches to avoid the chaos of tag teams.
- I even started a simple spreadsheet. Date, Opponent, Win/Loss, and a rough note on how it ended if I could find it.
Man, it was slow going. You watch a match, jot down some notes. Watch another. Realize the recap you read missed a key moment. Go back. It wasn’t exactly rocket science, more like digital archaeology, digging through forums and video descriptions.
I thought maybe I could spot if he relied heavily on one particular finishing sequence. Or maybe see if his matches had a typical duration. Honestly, the data was so scattered, it was hard to be sure about anything concrete.
What I Found (Sort Of)
After plugging away at it for a while, I had… well, I had a spreadsheet. It wasn’t huge, and probably full of holes. But I could see some basic stuff.
He seemed pretty consistent in his main roster appearances, lots of relatively short matches, especially earlier on. The win/loss record was decent, but pinning down why based on the limited data was guesswork. The whole pants-ripping thing? Always gets a reaction, but didn’t seem directly linked to winning or losing in my small sample.
Ultimately, I didn’t uncover some secret formula to his success or anything groundbreaking. It was more an exercise in frustration, highlighting how hard it is to get good, structured data on something like pro-wrestling performance without official stats.
So, that was my little dive into the “angel garza” analysis. More of a personal rabbit hole than a serious study. Learned more about the difficulty of data collection than about wrestling strategy, I guess. But hey, it kept me busy for a bit.
