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DataCampTabularBeginnerRegistration unverified

FIFA World Cup 2026 Prediction

A beginner tabular competition requiring roughly 6–14 hours for an end-to-end practice run.

Difficulty
Beginner
Estimated effort
6–14 hours
Registration deadline
To be confirmed
Compute
CPU only
OverviewPreparationSource

Overview

Who this competition fits

Beginners who want a low-friction first competition on a learning platform with DataLab notebooks.

Read the original official blurb
The 2026 FIFA World Cup is one of the biggest sporting events in the world, hosted across the United States, Canada, and Mexico. For the first time, the tournament expands to 48 teams, producing 104 matches across the group stage and knockout rounds. This competition invites you to put your data skills to the test by predicting match outcomes for every game in the tournament. Using machine learning, historical statistics, and soccer domain knowledge, you will predict match scores, corners, cards, and more. The scoring system rewards precision: an exact scoreline earns maximum points, while close predictions still earn partial credit. Matches in later rounds carry score multipliers, meaning a strong model that holds up in the knockout stages can leapfrog the competition. The challenge is designed to be difficult enough that no one can achieve a perfect score—even with AI assistance—but accessible enough that any data enthusiast can participate and score points. Submit predictions for every match in the 2026 FIFA World Cup before the tournament begins on June 11. Your score is calculated automatically as results come in. There are two types of predictions: Scoring notes: 📊 View the live leaderboard → This is an autograded competition. Points are awarded for correctly predicting match scores (25 pts), corners (10 pts), yellow cards (10 pts), red cards (5 pts), and match outcomes. All points are multiplied by the round factor — up to ×16 for the Final. Full scoring details are in the competition notebook.

Preparation

From registration to a first submission

  1. 01

    Python or R basics

  2. 02

    DataCamp / DataLab workflow

  3. 03

    pandas or tidyverse

Before you commit: Even learning competitions can stall if you have never turned analysis into a clean submission notebook.

Source

How this page was assembled

Competition information is structured from the official page. Scores are platform estimates for decision support; official rules take precedence.

Official competition page
DataCamp
Last checked
May 18, 2026

Entry assessment

est.
88

Strong first competition

Overall fit estimate

Beginner fit88/100
Learning value86/100

Confirm eligibility and time commitment before moving into formal preparation.

Entry eligibility needs official confirmation

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Data and review state

Separate what is confirmed from what still needs review. Official rules and deadlines win.

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Source page verifiedMetric confirmedReviewed
Source published
May 18, 2026
Source created
May 18, 2026
Published on this site
Jul 18, 2026