Sports Data Web Scraping & AnalyticsMax Matthews
I offer end-to-end sports data solutions, from web scraping and cleaning to advanced analysis and predictive modelling. What sets me apart is not only my ability to transform messy sports data into actionable insights, but also my genuine love for sports, which drives me to deliver results that are both technically strong and deeply connected to the game.
What's included
Web Scraping Scripts
Custom-built Python scrapers (Selenium, BeautifulSoup, or API integrations) to automatically collect structured data from dynamic sports websites.
Clean & Structured Datasets
Processed CSV/Excel files containing player stats, match results, odds, or historical records — ready for direct analysis or integration.
Data Processing & Cleaning
ETL workflows to handle missing values, remove duplicates, and standardize metrics for accurate analysis.
Exploratory Data Analysis (EDA)
Summary statistics, trends, and visualizations to uncover key insights from raw sports data.
Predictive Modelling
Machine learning models for outcome prediction (e.g., match results, player performance) with documented accuracy metrics.
Custom Dashboards / Reports
Interactive dashboards (Tableau/Matplotlib/Seaborn) or static PDF reports to visualize insights and support decision-making.
Documentation & Reproducibility
tep-by-step usage instructions and code documentation so you (or your team) can easily maintain and extend the project.
Contact for pricing
Tags
BeautifulSoup
Python
Scrapy
Selenium
TensorFlow
Data Engineer
Data Scraper
Service provided by
Max Matthews Rimac, Peru
- $5k+
- Earned
- 2
- Paid projects
- 5.00
- Rating
- 2
- Followers
Sports Data Web Scraping & AnalyticsMax Matthews
Contact for pricing
Tags
BeautifulSoup
Python
Scrapy
Selenium
TensorFlow
Data Engineer
Data Scraper
I offer end-to-end sports data solutions, from web scraping and cleaning to advanced analysis and predictive modelling. What sets me apart is not only my ability to transform messy sports data into actionable insights, but also my genuine love for sports, which drives me to deliver results that are both technically strong and deeply connected to the game.
What's included
Web Scraping Scripts
Custom-built Python scrapers (Selenium, BeautifulSoup, or API integrations) to automatically collect structured data from dynamic sports websites.
Clean & Structured Datasets
Processed CSV/Excel files containing player stats, match results, odds, or historical records — ready for direct analysis or integration.
Data Processing & Cleaning
ETL workflows to handle missing values, remove duplicates, and standardize metrics for accurate analysis.
Exploratory Data Analysis (EDA)
Summary statistics, trends, and visualizations to uncover key insights from raw sports data.
Predictive Modelling
Machine learning models for outcome prediction (e.g., match results, player performance) with documented accuracy metrics.
Custom Dashboards / Reports
Interactive dashboards (Tableau/Matplotlib/Seaborn) or static PDF reports to visualize insights and support decision-making.
Documentation & Reproducibility
tep-by-step usage instructions and code documentation so you (or your team) can easily maintain and extend the project.
Contact for pricing