免费开放公共领域足球数据,包含英超、德甲、甲级联赛、意甲等多个联赛——无需API密钥 ;-)
serie-a 开源项目推荐(63 个)
serie-a 话题在 GitHub 上没有填写简介,这里按 Star 数汇总最相关的热门仓库。
热门项目 前 20
按 Star 数排序展示前 20 个 · GitHub 共 63 个仓库5,900+ free football (soccer) logos in transparent PNG & SVG: clubs, national teams, leagues and tournaments from 220+ countries
Machine learning model for predicting Serie A players performance in a match, in terms of Fantacalcio (italian fantasy football) scores.
European Soccer Standings Module for MagicMirror²
⚽ Soccer CLI
Analysis of Serie A Fantasy Football data
This project uses Expected Goals (xG) data and squad quality ratings within an elo-based Monte Carlo model to predict final standings in 7 major European soccer leagues and the UEFA Champions League.
Trasforma il listone del Fantacalcio in un report HTML pronto per l'asta: prezzi consigliati, probabili titolari e alert infortuni, anche offline
Scrape and analyze FBREF data with kickR.
A Telegram bot that reposts Serie A goals from /r/soccer/new
Bayesian modelling of football outcomes using the Skellam distribution (Karlis&Ntzoufras model). Final project for the Bayesian Statistics course of the MSc degree in Data Science and Artificial Intelligence (DSAI), University of Trieste
Stay up-to-date with the latest scores, and standings from the Italian Serie A football league.
Free 2026/27 football data in CSV: 75 competitions — Premier League, La Liga, Serie A, Bundesliga, Ligue 1 — results, fixtures, corners, yellow cards, fouls, shots and goal minutes. Updated daily, no API key.
Python package for Football Reference scraping and easy access to football data from various leagues
🔮 FantaOracle — il modello ML che legge l'asta del fantacalcio: predice i prezzi con forchetta d'incertezza, ottimizza la rosa in tempo reale al tavolo, e vince il 75-91% dei campionati simulati. Con arena interattiva: siediti e sfidalo.
⚽ golazo!
Pipeline de Machine Learning para previsão de resultados, gols e mercados de apostas do Campeonato Brasileiro Série A. XGBoost + Poisson Bivariado + Calibração Isotônica.
Repository contains comprehensive data from football matches from various football leagues
Player power score model across the Top 5 European leagues (2017–2024) — EDA, position-based scoring pipeline, and team analysis. WIP.
Extraction and analysis of FBRef data player
关于这个话题
- 清单取自 GitHub 话题页并按 Star 数排序,每次展示前 20 个项目;原始页面见 https://github.com/topics/serie-a。
- 该话题在 GitHub 上共有 63 个仓库, 本站收录的是其中最热门的 20 个,不是全量列表。
- Star / Fork 每日自动刷新一次,实时数据以 GitHub 为准。
- 当前 20 个项目累计 1354 Star,覆盖 6 种主要语言,数据更新于 2026-11-09。
- 中文介绍来自 GitHub 官方话题说明(github/explore)的机器翻译,可点「查看原文」对照;译文缺失时会先展示原文。