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sports-stats

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I conducted a statistical analysis of seasonal fantasy football data from 2000 - 2019 using R language. I have applied data science/statistical principles to the project such as data transformation techniques, 2D visualization plots, linear modeling, measures of average and spread, and summary ranking tables.

  • Updated Jan 4, 2021
  • R

A soccer analytics project ranking players' offensive influence in the passing networks. Networks are built with Statsbomb event data. A custom xT grid for the targeted matches are generated using socceraction codes and combined with the starting & ending locations of the passes. This is the main weight in our Weighted PageRank Algorithm.

  • Updated Oct 13, 2025
  • Jupyter Notebook

Package to let you easily represent and progress Bracket-style single elimination Tournaments, allowing you to focus on matchup logic and analysis without worrying about the boilerplate. Supports 2, 4, 8, 16, 32, 64...2^n starting teams.

  • Updated Mar 22, 2025
  • Python

Nowadays, sports events live above all from their media coverage, which includes cheering up winners and writing down losers. Statitstics are used to underpin the own argumentation in this reports. But is there any cherry picking here? Are only those statistics used that make the report/commentary look completely logical? In order to give an ini…

  • Updated Nov 11, 2019
  • Jupyter Notebook

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