Okay, so here’s the deal. I’ve been messing around with trying to predict the Milan vs. Inter game, you know, the Derby della Madonnina. Figured I’d share what I’ve been up to.

First thing I did was gather all the stats I could get my hands on. I’m talking form, goals scored, goals conceded, head-to-head records, all that jazz. Scraped it from a bunch of different sports sites. It was a bit of a pain, jumping between pages, but got there in the end.
Then, I started looking at individual players. Key players, injuries, suspensions, you name it. Is Lautaro Martinez playing? Is Leao fit? Massive impact on the game. Spent a good hour just digging through team news and injury reports.
Next up, I wanted to weight the importance of different factors. Like, how much does home advantage really matter in this derby? Or how much does recent form outweigh historical data? This was the tricky bit. It’s all gut feeling and tweaking numbers, tbh. I tried to give more weight to recent performances, especially in big games.
After messing around with the numbers, I built a simple spreadsheet. Plugged in all the data, applied the weights, and let it crunch. It spat out some probabilities, like Milan has a 35% chance of winning, Inter has a 45% chance, and a draw is at 20%. Feels about right given the current form.
Now, I’m not just gonna blindly trust a spreadsheet, am I? So, I watched some highlights from both teams’ recent games. Paid attention to their tactics, their weaknesses, and where they seem strong. Spotted that Milan are shaky at the back, while Inter are clinical in front of goal. This reinforced what the numbers were telling me.

Finally, I had to factor in the derby atmosphere. This game is different. Form often goes out the window. It’s about passion, grit, and who wants it more. Added a bit of a “chaos factor” to my prediction, bumping up the draw probability slightly.
My final prediction? I’m leaning towards Inter winning, probably 2-1. But honestly, anything can happen in a derby. That’s what makes it fun!
- Stats Gathering: Scraped data from various sports sites.
- Player Analysis: Researched key players, injuries, and suspensions.
- Weighting Factors: Determined the importance of different variables.
- Spreadsheet Modeling: Built a model to calculate probabilities.
- Game Footage Review: Watched highlights to assess tactics and form.
- Chaos Factor: Accounted for the unpredictable nature of the derby.
It’s all just a bit of fun, you know? Don’t go betting your house on my prediction. But hey, it’s a good way to get hyped for the game! Let me know what you think. Who are you backing?