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You will get soccer scores data from a proven source

Andrii B.Status: Offline
Andrii B.
Preview image

Let a pro handle the details

Buy Data Mining & Web Scraping services from Andrii, priced and ready to go.
Andrii B.Status: Offline
Andrii B.
Preview image

Let a pro handle the details

Buy Data Mining & Web Scraping services from Andrii, priced and ready to go.

Project details

Soccer Club Competition Results Dataset Overview

This dataset, provided in an Excel format, will contain results for particular soccer league.
It may cover any season (spanning up to the last 10 years) according to the client request.
It may include various competition stages such as:
 • Regular Season
 • Playoffs
 • Classification Rounds

The following competitions are available:
 • International Competitions
 • International Club Competitions
 • Domestic Leagues (by Country)

Finally, the data worksheet will contain the following data columns:
- BASIC columns: DATE, TEAMS, HOME, RIVAL, SCORES
- DERIVED columns: FT_HOME, FT_RIVAL, 1H_HOME, 1H_RIVAL, 2H_HOME, 2H_RIVAL
- CALCULATED columns: FT_TOTAL, 1H_TOTAL, 2H_TOTAL, ADVANCE, 1H_ADVANCE, 2H_ADVANCE
Data Tool
Python

What's included $30

These options are included with the project scope.

$30
  • Delivery Time 1 day
  • Number of Sources Mined/Scraped 1
  • Number of Revisions 0
Optional add-ons You can add these on the next page.
Additional Source Mined/Scraped (+ 1 Day)
+$30
Andrii B.Status: Offline

About Andrii

Andrii B.Status: Offline
Java/Python Backend Software Developer
Lviv, Ukraine - 7:04 pm local time
Senior software backend developer, experienced in both development and testing (unit and integration), using different types of languages (Java, Python, C#, SQL, HTML, CSS, Java Script) and frameworks (Spring Boot, Spring MVC, Hibernate, Jersey, JMS, Apache Camel, Django) as well as applying strong knowledge of object oriented programming, design patterns and principles.
I strive to combine problem-solving abilities with self motivation and quickly learning of new concepts.
In last commercial project I was responsible for migrating of a legacy enterprise application (financial domain) already deployed on several application servers to JBOSS AS and further JBOSS AS sub-components configuration and customer supporting with documentation.
Another challenging task was Liquibase containerization because there was an active stage of migrating to microservices from monolith in a project which I was assigned to.
A few years ago I "switched" to the Python tech stack (Anaconda, Django, pandas, numpy) and
have been using it in development within my own project scope (take a look my Project Catalog below).

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