About Gorilla Sport
Proven Prediction Performance, Backed by Data
Our Journey
Founded in 2023, Gorilla Sport emerged from a passion for football and a belief that data-driven insights could transform sports prediction. What started as a small project among football enthusiasts has grown into a trusted platform for a growing number of dedicated users.
Our team combines advanced machine learning algorithms with deep football analytics to deliver proven prediction performance, including our prediction streaks system — consecutive correct AI calls for the same market and scenario.
Our Mission
To empower football fans and betting enthusiasts with proven, data-driven prediction performance. We aim to transform the way people understand and engage with football by providing transparent, reliable, and scientifically backed accuracy tracking.
Through our prediction streaks feature and comprehensive analytics, we help users see when our AI keeps getting the same market right — consecutive correct predictions for a specific scenario, not team form.
Our Prediction Algorithm
Our algorithm is built to provide accurate football predictions by analyzing a variety of key factors that influence the outcome of a game:
- •Historical Data: We analyze past performances of teams to identify trends and patterns.
- •Head-to-Head Information: Direct comparisons between teams reveal competitive history and strengths.
- •Current Injuries: We factor in player injuries to assess the impact on team performance.
- •League Performance: We evaluate each team's current standing and performance in their league.
- •Poisson Distribution: A statistical approach to model goal occurrences, helping us predict scores with accuracy. Learn more about our methodology
- •Prediction Streaks Analysis: We track consecutive correct predictions for the same market and scenario to surface proven accuracy patterns and hot prediction streaks.
By combining these factors, our algorithm provides predictions that are backed by data science and rigorous analysis, enabling users to make informed decisions.
