Schlagwörter
Aktuelle Nachrichten
America
Aus Aller Welt
Breaking News
Canada
DE
Deutsch
Deutschsprechenden
Global News
Internationale Nachrichten aus aller Welt
Japan
Japan News
Kanada
Karte
Karten
Konflikt
Korea
Krieg in der Ukraine
Latest news
Map
Maps
Nachrichten
News
News Japan
Polen
Russischer Überfall auf die Ukraine seit 2022
Science
South Korea
Ukraine
Ukraine War Video Report
UkraineWarVideoReport
United Kingdom
United States
United States of America
US
USA
USA Politics
Vereinigte Königreich Großbritannien und Nordirland
Vereinigtes Königreich
Welt
Welt-Nachrichten
Weltnachrichten
Wissenschaft
World
World News

7 Kommentare
[deleted]
Such a good visualisation
Excellent work! The bulges are amazing
Great stuff! Might be worth a cross-post to r/soccer before Matchday 8 tomorrow
**The Visualisation** This is a „Violin Plot“ showing the density of finishing positions for the 36 UCL teams.
* **The „Bulge“:** The wider the shape at a specific rank, the higher the probability the team finishes there.
* **The Line:** The white internal bars show the interquartile range (where the middle 50% of outcomes fall).
**Data Source**
* **Fixtures & Standings:** Official UEFA Matchday 8 Schedule.
* **Team Strength:** [ClubElo.com](http://ClubElo.com) ratings (used to weight the Poisson simulation).
**Key Takeaways**
1. **The Certainty:** Look at **Arsenal** and **Bayern Munich** at the top. Their shapes are thin and compressed. The model is nearly 100% certain of their finishing position (Rank 1 or 2).
2. **The Chaos:** Look at **PSG (Paris Saint-Germain)**. They have a massive „bimodal“ distribution (two distinct bulges). This means they will likely either qualify comfortably in the Top 8 OR drop significantly; there is very little middle ground for them.
3. **The Bubble:** The fight for Rank 24 (the elimination cutoff) creates a massive spread of probability for the **12 teams straddling the line**, where a single goal can swing a team 5+ positions.
**Methodology**
* **Engine:** Python (NumPy/Pandas) running 20,000 Monte Carlo simulations.
* **Scoring:** Strength-weighted Poisson distribution based on current team Elo ratings for remaining fixtures.
* **Tiebreakers:** Full UEFA Article 18 implementation (H2H, Goal Difference, Goals Scored, Away Goals, Wins, Away Wins).
**Tools Used**
* Python (Matplotlib)
* Visuals rendered in a custom „Midnight Analytics“ theme.
* [**Source Code / GitHub**](https://github.com/ACl365/ucl-permutations)
As a Copenhagen fan, I don’t like this. We did it to ourselves, but I don’t like this
uau! this is not only beautiful but gorgeous data!
do you have any explanation for the multi modality observed on the different teams?