Sports · Clubs and performance analytics

Clubs and performance analytics

Structured intel and timelines that feed research, scouting, and performance workflows.

Pain points

1

Important updates are buried in noise

2

Entities and identifiers vary across sources

3

Analysts need traceability and context

What we deliver

Entity normalisation
Consistent identifiers across competitions, clubs, and individuals.
Event threads
Context-rich threads so analysts see how a situation developed.
Structured intel
Machine-readable feeds for research notebooks and feature pipelines.
Optional dashboards
Triage views for ops and analyst leads when needed.

Every output ships with source-trust scoring, freshness markers, and LLM-injection screening — so downstream teams can review with full context.

How it works

  1. 01

    Pull structured intel via API

    Use stable endpoints to retrieve events, entities, and threads.

  2. 02

    Link to internal identifiers

    Map our entity dictionary against your internal player and club identifiers.

  3. 03

    Use threads for verification

    Trace claims to their sources and confidence levels before analysis.

  4. 04

    Generate features

    Translate intel into features for downstream models and reports.

How we deliver it

APIs

Primary integration surface for analyst workflows and pipelines.

Webhooks

Optional push delivery for high-impact updates.

Dashboards

Optional triage and review interface.

Schema preview

Illustrative shape of an intel object as returned by the API.

Intel.schema.ts
interface Intel {
  • id:string;
    // Stable cross-source identifier
  • event_type:enum;
    // Normalised taxonomy
  • entities:Entity[];
    // Linked entity references with confidence
  • impact_score:number;
    // Internal 0–100 prioritisation grade (governance routing only)
  • sources:Source[];
    // Provenance references and timestamps
}

Example data shown is illustrative and anonymised. Any numeric values represent internal governance grading only — not investment, betting, or trading advice.

Adopt the API first

Start with the API and entity dictionaries, then layer threads and dashboards as your analysts develop new questions.

Bring structure to your research

Share a sample workflow and we will demonstrate how structured intel reduces analyst load.