Data Analysis Platform for Esports Organisations
The esports industry's data is heavily fragmented, making it difficult for smaller teams and organisations to gain insights on their performance. OpenFGC is a project to present data analysis for these smaller organisations.
Over the course of the pandemic, esport event organisers were forced to shift their events from offline to online, creating an entirely different set of organisational problems and changing how event success is measured and analysed.
The shift online meant further reliance on appealing to advertisers and sponsors, requiring precise data from multiple different platforms. Event organisers needed a way to collate this fragmented data in a format appealing for the presentation of KPIs.
After thorough research, it became clear that player popularity was a key metric - event success was highly variable, but having popular players compete reliably brought in viewership.
Created a platform to collate fragmented esports data from multiple sources into a unified dashboard for KPI presentation to sponsors and advertisers.
Separated the product into a simplified summary page and a deeper insights section. The summary page cuts out everything not absolutely vital to avoid overwhelming users.
Integrated player popularity metrics alongside traditional performance data to help organisers make informed decisions about event planning and participant selection.
Unified view of esports performance metrics across multiple platforms.
Comprehensive player analytics including popularity metrics and performance data.
Tools for analysing event success and predicting performance based on participant data.
Clean, sponsor-friendly presentation of key performance indicators.
OpenFGC successfully addressed the need for unified esports data analysis, providing smaller organisations with insights previously only available to larger teams. The platform's focus on player popularity as a key metric proved valuable for event planning and sponsor presentations.
The dual approach of simplified summaries and detailed analytics made complex data accessible to different user types, from quick decision-making to deep performance analysis.