Live Football Statistics Aggregator
Journal
2025 33rd Telecommunications Forum (TELFOR)
Date Issued
2025-11-25
Author(s)
Vasilova, S.
Saragjinov, L.
DOI
10.1109/telfor67910.2025.11314222
Abstract
We present a Live Football Statistics Aggregator that combines Python multiprocessing with Apache Kafka to deliver real-time analytics. The pipeline ingests heterogeneous football APIs, normalizes events in parallel, and streams results to a FastAPI backend and React UI. In experiments, multi-process execution substantially reduced latency versus a sequential baseline. Kafka adds durability, backpressure, and horizontal scalability, making the system practical for production environments.