Coach's Corner, a Databricks‑powered platform, is reshaping how soccer coaches dissect matches by ingesting live data at 25 frames per second from as many as 19 separate video feeds.
During a single tournament the system processes roughly 51 million rows of tracking information, turning raw feeds into a unified analytics environment that can be explored through replay windows in two and three dimensions.
The interface equips coaches with tools such as shot‑map and expected‑goals visualisations, pass‑network diagrams, heat‑maps of player movement, and a comprehensive standings board, while an AI‑driven Tactical Agent offers event‑level insights on demand.
Behind the scenes, Coach's Corner relies on Spark Declarative Pipelines that enforce 46 data‑quality expectations, funneling the information into a single Unity Catalog where it is indexed for fast retrieval.
Two distinct query paths support the workload: a Lakebase layer delivers ultra‑low‑latency replays, whereas a DBSQL engine handles the heavier analytical queries that power the Tactical Agent.
When a coach types a natural‑language question, the AI scouting layer translates it into a governed SQL statement, runs it against the catalog, and returns results that are enriched by Vector Search to surface comparable player profiles.
The opponent dossier is assembled by orchestrating Genie, Vector Search and a registered xG model, all governed through the Unity AI Gateway to ensure observability and compliance.
A Data‑First Playbook for Modern Coaching
By collapsing the distance between raw data and actionable insight, Coach's Corner illustrates how modern data and AI architectures can be adapted not only to sports but also to live‑entertainment scenarios that demand real‑time decision making.