First off, I started by looking at all the games scheduled for this week. Just got a list going on my notepad. Then, I grabbed my laptop and started digging around the internet for any info I could find on these teams. I was looking at their.ffut scores from the past few weeks, who they've played, if any of their star players are injured, that kind of stuff.
After that, I opened up my own little prediction model that I've been working on. Nothing fancy, just something I put together to help me make better guesses. I plugged in all the data I collected, and waited to see what it spat out.
- Checked out a few websites that give their own predictions.
- Compared their picks with what my model said.
- Looked for any big differences and tried to figure out why they were there.
One thing I noticed was that the line for the San Jose State game seemed a bit off compared to what my model was suggesting. That caught my eye, so I dug a little deeper into that game. Also, saw a prediction about passing yards for Cincinnati that seemed interesting.
Oh, and I made sure to give a little nod to Kansas in my predictions. They've been doing pretty well, and I think they might surprise some people this week.
Finally, I wrote down all my predictions in a simple, easy-to-read format. No technical jargon, just plain English. I like to keep things straightforward, you know? It's more fun that way. I want to make some notes about this week's match after game day, and see if I can learn some more.
What I learned this time:
- Always pay attention to the underdogs.
- Double-check any big discrepancies between different prediction sources.
- Keep refining your prediction model, no matter how simple it is.
So yeah, that's how I spent my weekend getting ready for week 11 of college football. It's a blast, and I learn something new every time I do it. Hope you guys find this helpful, and maybe it'll inspire you to make your own predictions too!
