FIFA PREDICTION

End‑to‑end FIFA analysis workspace that lets stakeholders quickly explore player, team, and match data to answer “who should we pick, and why?” in a single place

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Inspiration : I like Soccer club teams like Manchester United that's why choose this projects

What it does:Interactive notebook combines FIFA‑style player/team data with predictive analytics to forecast match outcomes and player performance in a single place.

How we built it:I have built this inside the Hex notebook environment, using SQL cells to ingest and clean FIFA‑related datasets, then Python cells to engineer features.

Challenges we ran into: Many SQL command errors and also Python based errors while publishing the App.

Accomplishments that we're proud of:Proud of creating a single, end‑to‑end notebook starts with raw data to simulation‑ready predictors, with clear visualizations anyone can understand.

What we learned:Data hygiene and feature engineering drive the quality of sports predictions

What's next for FIFA PREDICTION: Integrate live or more recent match data, add geospatial and travel‑cost factors,

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