Thanks! 🙏 Happy to hear it resonated.

You can first combine the xG of multiple shots in a possession as 1 − ∏(1 − xGᵢ).

“What if, when the opposition has 11 players behind the ball, a centre-back decided it was more worthwhile to ‘kick for touch’ rather than attempt to play through midfield?”

Oh boy do I have a research presentation for you

It should work for the 2025/26 season. You only need to disable the cache once to discover the new season (see also github.com/probberechts...).

📊 Our interactive visualization provides detailed odds for each team advancing past the group stage and eventually winning the tournament. We will update the probabilities after each round.

dtai.cs.kuleuven.be/sports/euro2...

According to our simulations, the top 5 favorites are:

🇪🇸 29% 🇩🇪 26% 🏴󠁧󠁢󠁥󠁮󠁧󠁿 19% 🇸🇪 11% 🇫🇷 9%

We estimate each team’s strength based on historical performances using Elo ratings. Then, we run Monte-Carlo simulations to calculate the probability of every team reaching each stage of the tournament.

It’s a wearable that anyone can use, although the focus is currently on physiotherapists. Essentially, it’s an IMU worn in a belt around the hips. I used it on (almost) all my runs outdoors, and for me, one of its main strengths was the consistency of the insights across different terrains.

It's mostly hockey taking ideas from soccer, but one big takeaway for me was the potential in the overlap between data analytics and sports science. In soccer, they mostly live in separate silos.