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World cup predictor

It helps predicts xg and win between two countries

Football
GitHub
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Hunted byMcDonald McDonald

Football Prediction System is a web app that predicts football match outcomes using machine learning, statistics, and live data. Built with HTML, CSS, JavaScript, Python, and Flask, it analyzes historical stats like goals, form, and xG. It uses models such as Random Forest and Logistic Regression to generate predictions. Live APIs provide real-time updates, making the system dynamic, data-driven, and useful for football insights and analysis.

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Inspired by my passion for football and curiosity about data, I built this project to explore how machine learning can reveal patterns behind match outcomes. It combines sports, statistics, and coding to turn raw data into meaningful insights about the game.

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About World cup predictor on Product Hunt

It helps predicts xg and win between two countries

World cup predictor was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #53 on the daily leaderboard. Football Prediction System is a web app that predicts football match outcomes using machine learning, statistics, and live data. Built with HTML, CSS, JavaScript, Python, and Flask, it analyzes historical stats like goals, form, and xG. It uses models such as Random Forest and Logistic Regression to generate predictions. Live APIs provide real-time updates, making the system dynamic, data-driven, and useful for football insights and analysis.

World cup predictor was featured in Football (3.4k followers) and GitHub (41.2k followers) on Product Hunt. Together, these topics include over 22k products, making this a competitive space to launch in.

Who hunted World cup predictor?

World cup predictor was hunted by McDonald . A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.

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