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Predicts soccer players' non-penalty goals: 8 models compared on data for 2,786 players, with an interactive results dashboard

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Soccer Prediction Model

Predicts a forward's non-penalty goals from the previous season's statistics, so a club can shortlist players before paying transfer fees. Georgetown M.S. capstone, 2022.

Live dashboard: https://mngoh.github.io/SPM-Model/

  • Data: 2,786 players from FBref, cleaned and merged in notebooks/0_Data_Cleaning.ipynb
  • Features: shooting, passing and possession statistics per 90 minutes, selected after the correlation analysis in 1_EDA.ipynb
  • Models: eight compared in 2_ML_Models.ipynb (linear, regularized, tree ensembles and gradient boosting), scored on a held-out season
  • Result: the dashboard shows each model's error and the top predicted scorers

Layout: notebooks/ analysis, data/ inputs and the merged table, index.html the dashboard.

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Predicts soccer players' non-penalty goals: 8 models compared on data for 2,786 players, with an interactive results dashboard

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