MARKET CASE STUDY: MACHINE LEARNING

Predicting FIFA World Cup 2022™ using Machine Learning

Are you curious to know which team will win the FIFA World Cup™ in Qatar?
With the 2022 FIFA World Cup™ closing in, 32 countries are getting ready to test themselves again at the world’s biggest football showcase. It is only natural for all of us to be interested to find out which team will emerge as the World Champion.
We offer an answer to this curiosity with the help of our FIFA World Cup 2022 predictor, developed by our team to forecast the most likely outcome of this year’s football championship using extensive machine learning and various other indicators.
Learn more about which team will most likely end up taking the trophy home, according to the data.
Qatar Football World Cup 2022

World Cup 2022 Simulator for prediction

How do we build models?

  • By using ML algorithms. For this one, we used Logistic Regression, Random Forest and SVM. Ranking is the main input.
  • The Football World Cup 2022 prediction will use the current rankings of the two teams from a match at that particular time and will be based solely on the outcomes of competitive matches (not friendly) to see who will come out on top.

    For example:

    The current rankings of Brazil and Argentina in 2022 will be different from the rankings of Brazil and Argentina from 1990. And the same follows for other competing teams.

TGM machine learning

FIFA World Cup 2022™ Predictor

The Goal:

  • Using Machine Learning to predict who will win the FIFA World Cup 2022™.
  • Predicting the outcome of individual matches for the entire competition.
  • Simulating the outcomes of crucial games such as quarterfinals, semi-finals, and finals.
  • Learning what the knockout stages would look like following the conclusion of the group stages.
  • See the mapped-out schedules of all matchups.
    These goals require solving various Machine Learning tasks, including addressing unique real-world prediction challenges. This World Cup prediction Machine Learning tasks include Data Integration, Feature modelling, and Outcome prediction.
TGM machine learning
Sport prediction world cup

World Cup 2022 Prediction Model

How data is used?

For predicting the Football World Cup 2022, we have utilised data from Kaggle International football results from the year 1870 to the current year 2022. Additionally, as input, we used all the participating teams’ match results throughout history, going back to the inception of the championship in 1930. The algorithm also made use of information from football rankings from 1992 through 2022.

How many algorithms have we built?

For this 2022 FIFA World Cup™ Predictor, we built 3 algorithms in total
random forest
Random Forest
A commonly-used machine learning algorithm, which combines the output of multiple decision trees to create a “forest". It predicts by taking the average or mean of the output from various trees. It provides the highest accuracy predictions among all available methods.
SVM
SVM
One of the most popular and widely used supervised machine learning algorithms. It uses a technique called the kernel trick to transform your data and then based on these transformations it finds an optimal boundary between the possible outputs.
logistic regresion
Logistic Regresion
A basic supervised machine learning algorithm, which estimates the probability of an event occurring based on a given dataset of independent variables.
Disclaimer: All the information on this website - https://tgmresearch.com/predicting-fifa-world-cup-2022.html - is published in good faith and for general information purpose only. 2022 FIFA World Cup™ Predictor with TGM Research does not make any warranties about the completeness, reliability and accuracy of this information. Any action you take upon the information you find on this website (2022 FIFA World Cup™ Predictor with TGM Research), is strictly at your own risk. 2022 FIFA World Cup™ Predictor with TGM Research will not be liable for any losses and/or damages in connection with the use of our website.

Consent: By using our website, you hereby consent to our disclaimer and agree to its terms.


Check results for other countries competing in
2022 FIFA WORLD CUP™ surveyed in our study:

Argentina FIFA World Cup audience insights
Argentina
Australia World Cup insights & data research
Australia
Belgium FIFA World Cup fans insights
Belgium
Brazil FIFA World Cup audience insights
Brazil
Canada FIFA World Cup fans insights
Canada
Cameroon FIFA World Cup audience insights
Cameroon
Costa Rica  World Cup 2022 Survey Results
Costa Rica
Croatia World Cup insights & data research
Croatia
Denmark FIFA World Cup audience insights
Denmark
Ecuador World Cup 2022 Survey Results
Ecuador
England FIFA World Cup audience insights
England
Spain FIFA World Cup audience insights
Spain
France FIFA World Cup fans insights
France
Germany FIFA World Cup audience insights
Germany
Ghana World Cup insights & data research
Ghana
Japan FIFA World Cup audience insights
Japan
South Korea FIFA World Cup audience insights
South Korea
Saudia Arabia FIFA World Cup fans
Saudi Arabia
Morocco World Cup 2022 Survey Results
Morocco
Mexico FIFA World Cup audience insights
Mexico
Netherlands FIFA World Cup audience insights
Netherlands
Poland FIFA World Cup fans insights
Poland
Portugal FIFA World Cup audience insights
Portugal
Qatar FIFA World Cup audience insights
Qatar
Senegal World Cup insights & data research
Senegal
Serbia World Cup insights & data research
Serbia
Switzerland World Cup insights & data research
Switzerland
Tunisia FIFA World Cup audience insights
Tunisia
Uruguay World Cup insights & data research
Uruguay
United States World Cup 2022 Survey Results
USA
Wales World Cup insights & data research
Wales

See the results for other countries,
with significant football\soccer fanbase:

Egypt FIFA World Cup audience insights
Egypt
Indonesia World Cup 2022 Survey Results
Indonesia
Italy World Cup insights & data research
Italy
Kenya FIFA World Cup audience insights
Kenya
Nigeria FIFA World Cup audience insights
Nigeria
Pakistan FIFA World Cup fans insights
Pakistan
Peru FIFA World Cup audience insights
Peru
Philippines FIFA World Cup fans insights
Philippines
South Africa World Cup insights & data research
South Africa
Thailand World Cup insights & data research
Thailand
Turkey World Cup 2022 Survey Results
Turkey
UAE World Cup insights & data research
UAE
Vietnam FIFA World Cup fans insights
Vietnam
Colombia FIFA World Cup fans insights
Colombia
TGM World Cup Survey 2022
Are you curious for more?

Get insights from the world's biggest independent survey on 2022 FIFA World Cup™.

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TGM Research FZE

A2-102B Building no. A2, Al Hamra Industrial Zone-FZ, Ras al-Khaimah 1005, United Arab Emirates

3rd floor, 100 Nguyen Thi Minh Khai Street, District 3, Ho Chi Minh City, Vietnam

ul. Długa 29/226, 00-238 Warszawa, Poland

We are living in the digital world with new opportunities for the market research. Join the mobile journey. TGM Research specializes in mobile market research and online panels.

© 2022 TGM Research FZE