The auction offers two sports betting analyser apps, which utilize decision support trees and machine learning algorithms to predict football match outcomes and provide betting recommendations. The main app analyzes odds, team stats, and past matches, covering over 250 games weekly, with an easy process to add new leagues. The seller, a developer seeking funds for a new project, follows a model of developing, publishing, earning, and selling promising apps for investment purposes. The app’s design will not be reused post-sale, although the global algorithm may be integrated into future projects. The apps were developed using Eclipse, with a supporting HTML5 website built with PHP and jQuery Mobile, and a MSSQL database. A Data Gathering Software (DGS) tool was created to automate the collection and analysis of game data, requiring minimal weekly maintenance. Monetization is achieved through affiliates and advertisements from multiple platforms, with projected profits of $1293 in March and $3132 in April 2017, including a contract for ad placements. With over 67,000 downloads, the app has an active user base of around 43,000, primarily from Kenya, Nigeria, Turkey, Portugal, and Italy, and boasts a 4.5-star rating from 1,490 reviews. The sale includes the app’s source codes, database structure, social media accounts, and transfer to the buyer’s developer account. Post-sale support involving training and technical transitions is provided, with opportunities for user acquisition through marketing and future development, such as launching an iOS version to boost revenues.