Connect
Bring in competitive match data through REST APIs and CSV inputs.
02 / Competitive Data Analysis
Competitive Match Integrity Analyzer
A Python project that processes Fortnite competitive match data, player performance, reports, and event statistics through manually defined risk scoring rules.
02/ 02
THE WORKFLOW
From raw data to clear signals.
Each stage keeps the analysis understandable and repeatable.
Prepare
Clean and aggregate player, report, and event data with Pandas.
Score
Apply manually defined rules to produce interpretable risk scores.
Explore
Present the analysis in a Streamlit interface.
DESIGN PRINCIPLE
Scores you can explain.
The scoring is rule-based and transparent. Defined rules turn signals from match data and reports into results that can be inspected and explained.
TECHNICAL STACK
Built with intent.
Language
Python
Frameworks & libraries
Streamlit · Pandas · Requests
Backend
REST APIs · JSON processing · environment variables
Data
Cleaning · aggregation · scoring pipelines · CSV storage
Engineering
Modular architecture · Git · GitHub