SaireXS: Football Stats & Predictions

SaireXS is a football statistics and prediction platform that brings live matches, form and goal statistics from 61 leagues into a single interface. It combines analysis tools such as match-based player form, mathematical predictions and accuracy tracking for those predictions with a membership system and an admin panel. Built on Next.js and PostgreSQL, the platform is live at sairexs.com.

About the Project

Football data is scattered and voluminous. League tables, match results, player performances and goal statistics live in different sources and different formats. SaireXS gathers this data for 61 leagues under one structure, keeps it current with a live match feed and presents it in a way that makes comparison easy for the user.

What sets the platform apart is that it pairs statistics with predictions. Predictions generated using mathematical methods are compared against the actual score once a match ends, and the outcome is recorded. Users therefore see not just a prediction but how that prediction method has performed over time. This transparency lets users judge the reliability of the predictions with their own eyes.

SaireXS is designed with both individual users who follow matches and analysts who want to work with the data in mind. Taking data out of the platform via CSV export, member-only access through the membership system and content and user management through the admin panel are all part of this approach.

Key Features

• Live match tracking across 61 leagues: Matches from 61 different leagues are followed live, with scores and match states kept up to date.
• Form and goal statistics: Current team form is presented alongside goals scored and goals conceded.
• Match-based player form: Player performance is tracked match by match rather than as a single overall average. This makes it clear whether a player is trending up or down.
• Mathematical predictions: Match predictions are generated using mathematical methods.
• Accuracy tracking: Every prediction is compared with the actual result, and the hit rate is tracked transparently.
• CSV export: Statistics and prediction data can be exported in CSV format for use in spreadsheets or other analysis tools.
• Membership system: Users create an account to join the platform; access to the platform is managed through membership.
• Admin panel: Platform administrators manage content, data and user operations from a single panel.

Technology & Architecture

SaireXS is built on Next.js and PostgreSQL.

• Next.js: The application is built with Next.js. Statistics tables, prediction screens, membership flows and the admin panel all live within a single application, and live match data reaches the user through the same structure.
• PostgreSQL: League, match, player and prediction data are stored in a relational model on PostgreSQL. Comparing predictions with past results and calculating hit rates is done on top of this data model.
• Data export: CSV export delivers the statistics held in the database to the user in a portable format.
• Membership and administration: The membership system and the admin panel run within the same application, with member access and administrator operations kept separate.

The platform is live at sairexs.com.

Website: sairexs.com