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danimoreira90/Soccer-Data_Analysis

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A soccer match can generate thousands of data, from detailed statistics like passes and player movements, to more complex data such a team's performance. In this work we look forward to come up with interactive and instructional data visualizations which may allow analysts, technicians, managers and even ordinary fans taking concise decisions

active 2024-10-012025-05-29 (UTC)

Complete coverage27,199 / 27,201 hourly files (100%) · 2 absent upstream2023-08-152026-09-21 (UTC)
Events
17
Pushes
1
Pull requests
0
Issues
0
Stars
13
Forks
0

Activity over time

Daily event counts in the loaded window

Line chart, 241 days from 2024-10-01 to 2025-05-29. Pushes: 1 total, peak 1 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 0 total, peak 0 in a day. Comments: 0 total, peak 0 in a day. Stars: 13 total, peak 10 in a day.

  • Pushes
  • Pull requests
  • Issues
  • Comments
  • Stars

Stars, PRs, issues and forks are under-captured in the later part of this window. GH Archive progressively stopped capturing non-push events during 2026 — −95% or worse by the end of the window. Every series here except Pushes fades for that reason, so a decline above reflects the archive, not this repository. Pushes stay reliable throughout, so read them, and the contributor counts derived from them, as the real signal. Data health has the measurements.

Top contributors

Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity

ContributorContributionsPushesPRsComments
danimoreira901100

Recent activity

Latest issues, pull requests and releases

No issue or PR events — this repo's activity is pushes only.

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 13 stars here means stars gained during the window, not the repo's star count.