explaingit

marianovilla/oloraculo

Analysis updated 2026-05-18

70C#Audience · generalComplexity · 2/5Setup · easy

TLDR

A tongue-in-cheek World Cup 2026 prediction project that runs 10,000 tournament simulations to estimate each team's championship odds.

Mindmap

mindmap
  root((Oloraculo))
    What it does
      10000 simulations
      Team win probabilities
      Match by match forecasts
    Tech stack
      Csharp
    Use cases
      Reading predictions
      Comparing forecasts to results
      Following the tournament
    Audience
      Football fans
      Casual readers

Code map

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filefunction / class

What do people build with it?

USE CASE 1

Read updated probability tables for which teams are likely to advance through each World Cup 2026 stage.

USE CASE 2

Compare the model's predicted match scorelines against actual results as the tournament progresses.

USE CASE 3

Follow along with a humorous take on football prediction rather than a rigorous statistical tool.

What is it built with?

C#

How does it compare?

marianovilla/oloraculotor-browser-download/tor-browserdevassisthub/zelda-tp-pc-port
Stars707175
LanguageC#C#C#
Setup difficultyeasyeasymoderate
Complexity2/51/52/5
Audiencegeneralgeneralgeneral

Figures from each repo's GitHub metadata at analysis time.

How do you get it running?

Difficulty · easy Time to first run · 5min

No installation instructions are given, the project is meant to be read as a published README, not run locally.

In plain English

Oloraculo is a World Cup 2026 prediction project written in C#. The name is a Spanish wordplay combining "oraculo" (oracle) and "olor" (smell), which the author describes as a "very silly attempt" to forecast tournament results. The README includes a link to a YouTube video explaining the project's concept and backstory. The system runs 10,000 simulated versions of the entire tournament each time it updates, then calculates what fraction of those simulations each team wins. The result is a probability table showing each team's likelihood of advancing through different stages: qualifying from the group, reaching the quarterfinals, reaching the semifinal, making the final, and winning the championship. As of the most recent published update, England, Argentina, and Spain were clustered near the top at roughly 6% each to win the whole tournament. The README also contains a full match-by-match breakdown for each group, showing the model's predicted scoreline next to the actual result for matches already played, and its current forecast for upcoming fixtures. The README updates automatically as new match data comes in and more simulations run. The project appears to be a personal side project, built with an element of humor. The "smells like" framing is a joke about the oracle making guesses based on instinct rather than rigorous statistical models. Whether the underlying simulation uses any structured football statistics or simply runs random outcomes is not explained in the README. No installation instructions or setup guide are included, suggesting the project is primarily meant to be read here rather than run locally by others.

Copy-paste prompts

Prompt 1
Summarize the current top contenders and their championship odds from Oloraculo's latest predictions.
Prompt 2
Explain how running 10,000 tournament simulations produces a probability table for each team.
Prompt 3
Show me how Oloraculo's predicted scorelines compare to the actual results so far.

Frequently asked questions

What is oloraculo?

A tongue-in-cheek World Cup 2026 prediction project that runs 10,000 tournament simulations to estimate each team's championship odds.

What language is oloraculo written in?

Mainly C#. The stack also includes C#.

How hard is oloraculo to set up?

Setup difficulty is rated easy, with roughly 5min to a first successful run.

Who is oloraculo for?

Mainly general.

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