š I built a live AI-powered match predictor for the 2026 FIFA World Cup ā and it updates itself every hour, automatically.
48 teams. 104 matches. The biggest sporting event on the planet.
So I asked myself: can machine learning predict what no one can?
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Not just another ELO-based predictor. This one combines:
ā” Live ELO ratings ā recalculated after every WC match
š Recent form ā last 5 & 10 official matches
āļø Head-to-head history ā including World Cup-only records
š„ Squad strength ā EA FC 26 player ratings
š° Market value ā Transfermarkt squad valuations
šÆ Penalty shootout win rate ā the "clutch factor" most models ignore
š„ Knockout pressure ā encoded as a binary feature
ā ļø Upset detection ā flags weaker teams in better form
Dual-model ensemble: XGBoost + Poisson Regression
22 engineered features across 9 categories
Trained on 49,477 international matches (1872ā2026)
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Building the model wasn't the hard part ā keeping it LIVE was.
Results change daily, teams get eliminated mid-tournament, and shootouts aren't always recorded immediately.
The solution: an update engine that runs every hour ā fetching results, detecting eliminated teams, recalculating ELO, and handling shootouts with smart fallback logic. Fully automated.
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Early versions suffered from "ELO Dominance" ā assuming the stronger team almost always wins. Statistically wrong.
The fix: convert raw ELO difference into a calibrated win probability using the standard logistic formula. Now a +300 ELO advantage means ~88% win probability, not 100%.
Because football is unpredictable. That's what makes it beautiful.
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A 6-page Streamlit app featuring:
š® Match prediction ā Win/Draw/Loss probabilities
šµ Group stage simulation ā Monte Carlo standings
š Championship probability per team
š Downloadable PDF report
š Dark/Light mode
šøš¦ Arabic / š¬š§ English support
š¬ Full walkthrough in the video below š
š“ Live App ā
https://lnkd.in/e8BuSUh7
š GitHub ā
https://lnkd.in/ej8w_cUq
ā ļø Built for educational & portfolio purposes. Predictions are probabilistic ā not guarantees š
What feature would YOU add to improve upset prediction? Drop it below š
#MachineLearning #DataScience #Streamlit #SportsAnalytics #FIFA2026