iSquad is a dedicated table tennis management system designed to streamline the operations of federations, clubs, and tournament organizers. The platform simplifies player registration, event creation, license tracking, and result management. Whether for youth leagues or elite competitions, iSquad offers tailored functionality that aligns with the structure and dynamics of table tennis at all levels.
Table tennis requires precision, speed, and detailed tracking of both players and match outcomes. iSquad meets these demands by offering a centralized digital solution that brings structure and automation to the sport’s unique environment. It enables federations to create tournaments in knockout, round-robin, or mixed formats, assign officials, configure venues, and publish live results. Clubs can manage their athlete portfolios, submit registration forms, and monitor license renewals in real time. The system supports both individual and team events, doubles pairings, and qualification rounds with ranking impact. iSquad is fully compliant with ITTF and national policies, offering structured data flows for rankings, performance history, and match incidents. Its integration with OTT modules also allows streaming of live events, while its AI tools assist with bracket prediction, player load optimization, and scheduling balance. With multilingual access, mobile usability, and role-specific permissions, iSquad enhances coordination between organizers, officials, players, and fans—bringing table tennis into a new digital era.
Machine Learning is a subset of AI that focuses on developing algorithms and models that allow computers to learn from data and improve their performance over time. It plays a crucial role in enabling AI systems to recognize patterns, make predictions, and adapt to new information.