What Is a Sports Data Feed in iGaming?

A sports data feed is a real-time stream of structured event information — scores, statistics, player data, and odds — that sportsbooks, prediction markets, and betting platforms consume to power their products. These feeds are the foundational infrastructure layer that enables everything from pre-match odds calculation to in-play live betting and automated market settlement.

What Sports Data Feeds Contain

A typical sports data feed delivers multiple types of information:

Event Data

• Fixture schedules — upcoming matches, events, and tournaments
• Live scores — real-time score updates with sub-second latency for in-play products
• Match statistics — possession, shots, corners, cards, and hundreds of other metrics depending on the sport
• Play-by-play — detailed event-level data (each pass, shot, tackle in football; each pitch, hit, out in baseball)

Odds Data

• Pre-match odds — opening lines and market movements before events start
• In-play odds — continuously updating odds during live events, recalculated based on real-time match state
• Market availability — which betting markets are available for each event (moneyline, spread, totals, props, etc.)

Metadata

• Team and player information — rosters, injuries, suspensions
• Venue details — location, surface type, weather conditions
• Historical data — past results, head-to-head records, season statistics

Major Sports Data Providers

The sports data market is dominated by a handful of companies:

Official league data partnerships have become a major differentiator. Sportradar's deals with the NBA and Genius Sports' exclusive NFL partnership give them access to proprietary data that competitors can't replicate.

Why Data Feeds Matter for Prediction Markets

The prediction market industry is creating a new demand pattern for sports data:

• Polymarket's MLB partnership gives it access to official league data, blurring the line between prediction market platforms and licensed sportsbooks
• Binary contract settlement requires authoritative, definitive result data — any ambiguity in settlement triggers disputes and liquidity issues
• Cross-sport arbitrage — traders who operate across both prediction markets and traditional sportsbooks need consistent data across platforms

Latency and Reliability

For live betting products, data feed performance is critical:

• Pre-match feeds typically operate at 1-5 second refresh intervals
• In-play feeds require sub-second latency — a one-second delay in football can mean a goal has already been scored before odds update
• Uptime requirements are extreme — even minutes of downtime during a major event can cost operators significant revenue
• Redundancy — operators typically contract with multiple data providers to ensure continuity if one feed fails

Cost Considerations for Operators

Sports data is one of the largest operational costs for sportsbooks:

• Major providers charge $500K-$5M+ annually for comprehensive feeds depending on the number of sports, leagues, and data depth
• Official league data commands premium pricing — NFL official data through Genius Sports costs significantly more than unofficial alternatives
• Volume-based pricing — some providers charge per API call or per market created, making costs variable with platform growth
• Prediction market data is an emerging category, with platforms like Kalshi and Polymarket beginning to license their probability data to media companies and financial institutions

Frequently Asked Questions

Can prediction markets use the same data feeds as sportsbooks?

Yes, but there are licensing nuances. Sportradar and Genius Sports have begun offering data packages tailored for prediction market settlement. However, official league data partnerships (like Polymarket-MLB) may include exclusivity clauses that limit which platforms can access certain data.

How much does a sports data feed cost for a new operator?

Entry-level feeds covering major sports start at $50K-$100K annually. Comprehensive coverage with in-play data, multiple sports, and advanced statistics ranges from $500K to several million dollars per year. Prediction market platforms focused on binary outcomes may need less granular data, potentially reducing costs.

What happens when data feeds disagree on a result?

Operators define settlement rules in advance that specify which data source is authoritative for each market. For critical markets, multiple independent sources may be required to confirm a result before settlement. Disputes over settlement data are one of the most common sources of player complaints in both sportsbooks and prediction markets.