Question 1

What is MatchBreaker?

Accepted Answer

MatchBreaker is an AI-powered sports analytics platform that detects HT/FT turnaround patterns (break moments) in football matches. It analyzes over 945,000 matches across 914 leagues in 162 countries using Google Gemini AI and BigQuery on Google Cloud Platform.

Question 2

How does HT/FT break pattern detection work?

Accepted Answer

The system analyzes historical match data to identify patterns where the half-time result differs from the full-time result. Using machine learning algorithms trained on 945K+ matches, MatchBreaker detects 36,830+ unique break schemes and calculates signal strength scores to help analysts identify high-probability turnaround scenarios.

Question 3

What is FLUX AI Analyst?

Accepted Answer

FLUX is MatchBreaker's conversational AI agent powered by Google Gemini. It transforms natural-language questions into SQL queries against a BigQuery database of 945K+ matches, verifies results through multiple validation steps, and synthesizes insights with interactive charts and statistical analysis.

Question 4

What data does MatchBreaker analyze?

Accepted Answer

MatchBreaker's database contains 945,643 football matches from seasons 2014-2026, covering 914 leagues in 162 countries. It tracks 21,161 teams with 314,551 name aliases, 20,882 referee profiles, and has identified 36,830 HT/FT break schemes. The platform analyzes 2,337,307 goals in total.

Question 5

Who created MatchBreaker?

Accepted Answer

MatchBreaker was founded in 2025 by Kamil Kikosicki in Poland. The platform is a member of the NVIDIA Inception Program and is built on Google Cloud Platform using Firebase, Firestore, Cloud Functions, BigQuery, and Google Gemini AI.

MatchBreaker — AI Sports Analytics Platform for HT/FT Break Pattern Detection