🏅 Sports & Fitness · Data Flow
Live Sports Score Data Flow
How live scores reach millions of fans within a second: official scorers, the data feed, stream processing, caching and push notifications.
Drawing diagram…
What this diagram shows
- Official scorer app and data providers feed the same pipeline
- Scores are pushed over WebSockets, not polled
- Key moments (wickets, goals) trigger push notifications
Prompt used
Data flow for live cricket/football scores: the official scorer app and a third-party data feed send ball-by-ball events to an ingestion API, events go through Kafka to a stream processor that validates them and updates the match state in Redis, a WebSocket fan-out service pushes updates to fans' apps, key moments trigger push notifications through FCM/APNs, and all events are archived to a database for stats.
Mermaid code
flowchart LR SC[Official Scorer App] -->|Ball-by-ball events| ING[Ingestion API] FEED[Data Provider Feed] -->|Match events| ING ING -->|Events| K[Kafka] K --> SP[Stream Processor] SP -->|Match state| R[(Redis Cache)] R -->|Score updates| WS[WebSocket Fan-out] WS -->|Live score| APPS[Fan Apps and Web] SP -->|Wicket / goal| PN[Push Notifications - FCM / APNs] PN --> APPS SP -->|All events| DB[(Stats Database)]
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