<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>R | Marc Schalberger</title><link>https://mschalberger.github.io/tag/r/</link><atom:link href="https://mschalberger.github.io/tag/r/index.xml" rel="self" type="application/rss+xml"/><description>R</description><generator>Hugo Blox Builder (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Thu, 07 May 2026 00:00:00 +0000</lastBuildDate><image><url>https://mschalberger.github.io/media/icon_huea4c2c30a4f75ae13f649c1a215d5c7a_68535_512x512_fill_lanczos_center_3.png</url><title>R</title><link>https://mschalberger.github.io/tag/r/</link></image><item><title>Simulating the 2026 FIFA World Cup with Monte Carlo Methods</title><link>https://mschalberger.github.io/post/wm2026-monte-carlo/</link><pubDate>Thu, 07 May 2026 00:00:00 +0000</pubDate><guid>https://mschalberger.github.io/post/wm2026-monte-carlo/</guid><description>&lt;p>Who will win the 2026 FIFA World Cup? Together with colleagues at FU Berlin, I worked on a fun project that uses &lt;strong>Monte Carlo simulation&lt;/strong> based on Elo ratings to predict tournament outcomes, from the group stage all the way to the final.&lt;/p>
&lt;p>The simulation draws on historical match data and team strength estimates to run thousands of tournament replications, producing win probabilities for each of the 48 competing nations.&lt;/p>
&lt;p>👉 &lt;strong>&lt;a href="https://www.wiwiss.fu-berlin.de/wm2026" target="_blank" rel="noopener">Explore the full simulation and results here&lt;/a>&lt;/strong>&lt;/p></description></item></channel></rss>