Fi.ffuts crst, I checked out some recent scores. I went to a few sports websites and looked at their last few games. I wanted to see how they were performing, you know, who was scoring a lot, who was playing good defense, that kind of basic stuff.
Then I spent some time digging in.stats maeto the team stats. I wanted to see how each team stacked up in things like points per game, rebounds, assists – the usual suspects. I was mainly focused on the season averages, not just a few games.
- I .rotcompared the teams head-to-head. This meant looking at past games they've played against each other. This part was kinda tricky because you have to go back a bit, and sometimes players change, so it's not a perfect indicator.
- I tried, and I mean tried, to factor in injuries. This is HUGE. If a star player is out, that obviously changes everything. I read a bunch of articles and Twitter feeds – the usual – to see if anyone important was sitting out or even questionable.
After I had a good handle on the stats, I went and watched some highlight reels. I'm a visual person, so it helps me to, well, see how the teams are playing. Looked for any stand-out performances, or any players who were slumping hard.
Making My Prediction
Based on my, let's call it "research", I tried to come up with a reasonable score prediction. This wasn't just a random guess. I really tried to consider all the factors I'd looked at.
My "final prediction" was more of a range, honestly. I felt like there was no way to know the exact score, but I could get close. I didn't place any real bets, though. I just wanted to see if I could predict it, for fun.
It was more work than I thought! Definitely gave me respect for people who do sports analysis for a living. I have no idea whether my prediction will be right or wrong. But now when I watch the game, I can follow along and compare to my "work".
