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UFC / Tapology Parser (Underdog Analysis)
Client:Betting analysts / Sports analytics platforms
Date:September 2025
Sports Analytics, Betting
Scraping and analytics system for UFC fight data to identify underdog win patterns and support predictive modeling.
Max Lebedev
CEO of Sharcon LLC
15+ years in marketing and development. Leading a team of 30+ professionals at Sharcon.
Overview
We developed a data scraping and analysis system focused on UFC events and fighter statistics.
Problem
Sports analysts and bettors lack structured datasets for identifying patterns in underdog victories.
Solution
We built a parser that collects:
- Fight history
- Betting odds
- Match outcomes
The data is normalized and stored for analysis.
Key Features
- Automated scraping from Tapology and related sources
- Structured fight and odds database
- Underdog win rate analysis
- Statistical modeling support
Results
- Identified actionable betting patterns
- Enabled predictive modeling workflows
- Reduced manual research time significantly
Max Lebedev
CEO of Sharcon LLC
15+ years in marketing and development. Leading a team of 30+ professionals at Sharcon.
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