Quantitative Sports Intelligence

Sports data built for deeper intelligence.

Astra transforms historical, market, contextual, and performance data into structured research-ready intelligence—for analysts, developers, and sports technology teams.

Structured datasets from source to signal.

Normalized sports data across games, markets, and context—maintained for research integrity and downstream applications.

  • Historical and current game data
  • Odds and market history
  • Line movement and snapshots
  • Player and team metrics
  • Lineups, injuries, and context
  • Derived, model-ready features

View data categories →

QSI — the intelligence architecture.

QSI combines structured sports data, derived features, quantitative models, point-in-time context, and retrieval tools—powering research interfaces without conflating language generation with underlying sports truth.

Learn about QSI →

Sports Data
Normalization
Point-in-Time Context
Derived Features
QSI Tools & Models
Research Interfaces

Research tools built on QSI.

ScoutQSI

AI research interface

Natural-language access to structured QSI data. Scout, the assistant inside ScoutQSI, retrieves verified sports intelligence—not improvised answers.

Learn more →

Astra Terminal

Analytics workspace

A research environment for slate review, market history, feature-level analysis, and structured comparison across teams and players.

Learn more →

Data & API

Structured data access

Historical and current sports datasets, derived metrics, and intelligence layers for developers and organizations building on sports data.

Explore data →

What was known, from which source, and when?

Research integrity depends on temporal accuracy. Astra's architecture preserves pregame context, market state, and feature availability as they existed—supporting reproducible analysis and leakage-aware backtesting.

  • Pregame context preserved at decision time
  • Historical reproducibility for backtests
  • Market movement tracked with timestamps
  • Separation of data truth from AI synthesis

League coverage

MLB — primary coverage NFL — expanding NBA — in development

Teams building with sports data.

Quantitative analysts

Rigorous datasets and temporal context for research that holds up under scrutiny.

Developers

Structured, normalized data and APIs designed for integration—not one-off exports.

Model builders

Model-ready features with point-in-time awareness to reduce leakage and improve validation.

Build with better sports intelligence.

Connect with Astra about data access, ScoutQSI, or enterprise licensing.

Request Access