Score

Score is a decentralized sports prediction network focused on forecasting football match outcomes using collective intelligence. Operating as Subnet 44 within the Bittensor ecosystem, Score enables AI models and data-driven participants to submit predictions that are aggregated into probabilistic forecasts rather than relying on a single centralized source.

By specializing exclusively in football, Subnet 44 allows for deeper domain-specific modeling and more consistent evaluation across leagues and competitions. This focus makes Score a practical example of how decentralized AI systems can be applied to real-world prediction problems where accuracy, transparency, and incentive alignment are critical.

Score operates on a decentralized model that coordinates football match predictions across independent participants. As Subnet 44 within the Bittensor ecosystem, miners submit predictions before matches take place, while validators verify final results using trusted external data sources once games conclude.

Predictions are evaluated based on their accuracy, and incentives are distributed through Bittensor to reward consistently strong performance over time. This structure allows Subnet 44 to improve forecast quality through historical performance while maintaining an open and decentralized prediction network.