Short Description:
Discover the “Champion Insights Dashboard,” a platform using web scraping and data aggregation to provide League of Legends players with crucial insights. Extracting data from U.gg and Op.gg, it offers performance metrics like win rates and pick rates, as well as dynamic champion pairings to enhance gameplay strategies.
- Comprehensive champion statistics
- Dynamic champion pairings
- Visualized performance metrics
Long Description:
Project Overview: Champion Insights Dashboard
In this project, we had the privilege of implementing a sophisticated web scraping and data aggregation system to provide insightful champion statistics and pairings for the League of Legends community. The project entailed extracting and compiling data from multiple websites, primarily U.gg and Op.gg, to offer users a comprehensive understanding of champion performance and synergies.
Data Aggregation:
The heart of the project involved gathering data from various pages on U.gg and Op.gg to create a comprehensive dataset for each champion. This encompassed extracting champion names, images, win rates, pick rates, ban rates, recommended runes, skill builds, and item builds.
U.gg Data Extraction:
From U.gg, we meticulously scraped data from three distinct pages:
From these pages, we gathered champion names, images, and vital performance metrics like win rate, pick rate, and ban rate for both the ADC and support roles.
Op.gg Data Extraction:
The challenge of scraping Op.gg involved automating the process of collecting champion-specific data from individual URLs. Using a bi-weekly schedule, we managed to extract the required data, including win ratios, pick rates, and ban rates, for each champion across different roles.
Dynamic URL Generation:
An innovative approach was employed to automate data collection from Op.gg. By integrating the scraped champion names into dynamic URLs, our Python scripts pulled champion-specific data and amalgamated it with the U.gg statistics. This allowed for accurate representation and comparison of champion performances.
User Interface and Pairings:
The user interface was designed with user experience in mind. Upon searching for a champion, users were presented with the following:
- Meta Pairings: A display of champion pairings based on daily Duo Tier List data, providing insights into synergistic champions and their average performance metrics.
- Recommended Pairings: A static list of recommended pairings provided by the client, along with associated performance data.
Data Synchronization:
Ensuring consistency and accurate reflection of champion classifications (Bot or Support) across different views was a key focus. The interface dynamically updated data based on the champion’s classification, ensuring relevant insights were consistently provided.
Challenges Overcome:
- Successfully scraping and aggregating data from multiple sources.
- Designing a dynamic URL generation system for Op.gg data collection.
- Ensuring accurate pairings and data synchronization based on champion classifications.
Project Outcome:
The resulting solution provides League of Legends players with valuable insights into champion performance and synergies. Automated data aggregation and dynamic visualization empower users to make informed decisions and improve their gameplay strategies.
Future Prospects:
While the current system extracts data from U.gg and Op.gg, the infrastructure is adaptable for incorporating data from additional sources. This can further enrich the insights provided to users.
This project serves as a testament to the capabilities of web scraping and data aggregation in enhancing user experiences and facilitating data-driven decision-making. It exemplifies our dedication to tackling complex challenges and delivering solutions that transform visions into reality.
Project Link: Here
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