d-t
fantacalcio
Jupyter Notebook

Analysis of Serie A Fantasy Football data

Last updated Mar 15, 2026
22
Stars
7
Forks
0
Issues
0
Stars/day
Attention Score
11
Language breakdown
Jupyter Notebook 100.0%
Files click to expand
README

Fantasy Football Data Analysis

A blog post was created to explain the details of this project. English version available here, Italian here.

Overview

The goal of this project is to analyze data related to Serie A Fantasy Football (aka Fantacalcio) from past years and use the results to predict the best players for the next football season. The code is contained in a Jupyter Notebook file, which can be used to import data, visualize the graphs and get results of the analysis.

Visualizations

The following are some of the results obtained by analyzing the data.

Trends

Best Trends Worst Trends

Deltas

Best Deltas Worst Deltas

Mean Scores

Best Mean scores Best Mean scores by role Worst Mean scores

Interactive Calculator

The final part of the code includes an interactive calculator which can be used to predict players who will have the best performance next season. Interactive Calculator The weights are used to calculate an approximate score for next season. The formula is the following:
🔗 More in this category

© 2026 GitRepoTrend · d-t/fantacalcio · Updated daily from GitHub