[OC] Ich habe den 8. Spieltag der Champions League 20.000 Mal simuliert. Hier ist die Wahrscheinlichkeitsverteilung der endgültigen Ligaphasen-Wertung.

Von Business-Cherry1883

7 Kommentare

  1. TheOriginalSiri on

    Great stuff! Might be worth a cross-post to r/soccer before Matchday 8 tomorrow

  2. Business-Cherry1883 on

    **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)

  3. As a Copenhagen fan, I don’t like this. We did it to ourselves, but I don’t like this

  4. uau! this is not only beautiful but gorgeous data!
    do you have any explanation for the multi modality observed on the different teams?

Leave A Reply