Sports Data relational sport metadata, from line-up to live highlight

Most sports feeds give you text: a team name in one field, a tournament in another, nothing connecting them. Sports Data is different. Every entity is a real object with its own permanent ID, and they link to each other:

• Disciplines: the sport itself
• Tournaments and seasons: competitions over time
• Stages: rounds, groups, knockout phases
• Events (matches): the individual fixture
• Venues: where it is played
• Teams: as objects, with logos and short names, not just a text label
• Players: profiles linked to their teams and events

Because everything is relational, you can answer "which players, in which venue, in which stage of which tournament" from one connected structure, in 32 languages, instead of stitching together loose text fields. This is what relational depth means in practice: not more fields, but fields that connect.

The database is built at scale: over 109,000 teams, more than 10,000 tournaments and over 2.3 million sport events, across 136 disciplines and 100+ countries.

A single sport event maps to every TV broadcast that carries it. The match is one record; the three channels showing it are three events pointing at it. Because Sports Data shares the same identifiers as EPG Data, the connection is automatic, with no separate mapping on your side. The team, tournament and venue in your guide are the same objects as in the live data.

Sports Data covers the full arc of an event: before, during and after, with our own real-time layer.

• Before the match: teams, line-ups, tournament context, venue and stage, plus announcement texts and sport title cards ready to display
• During the match: live scores and real-time highlight bookmarks. The goal, the penalty, the red card, tagged as it happens with full context (scorer, assisting player, minute, current score, tournament phase), typically available within around 20 to 30 seconds of the moment on the pitch
• After the match: key moments and an automatically assembled highlights reel of every tagged moment in order, ready within minutes of the final whistle, with no manual editing

The same highlight tagging works across every sport: goals and cards in football, breaks and set points in tennis, buzzer-beaters in basketball, crashes and lead changes in motorsport, knockdowns in combat sports.

On top of our own relational data, live scores and highlights, Sports Data comes pre-connected to the leading sports data suppliers, including Sportradar, OPTA and Enetpulse, linked at every level (event, team, player) to our own permanent IDs. This is where you go beyond what we hold ourselves into the deepest live and historical data on the market, without any of the integration work.

Through these integrations you can reach:

• Advanced live statistics and play-by-play commentary during the match
• Deep historical statistics keyed to the same IDs you use in your EPG
• Dynamic player and roster data, kept current by the suppliers

The advantage is twofold. First, you get richer, more sophisticated data than any single source provides, our broadcast-grade structure plus the suppliers' statistical depth, in one place. Second, the integration work is already done: the suppliers are pre-mapped to our IDs, so you take one connection from us instead of building and maintaining a separate pipeline to each provider and reconciling three different ID systems.

For an operator, that combination of our own real-time layer plus pre-built supplier depth is the difference between launching a sports experience this quarter and spending a year wiring it together.

Broadcasters often hand over almost nothing for sport, especially for smaller local competitions and niche disciplines: a fixture, a time, maybe a title. For many services that means blank or bare listings exactly where a fan wants context. Media Press runs a dedicated sports editorial team that fills those gaps, writing full event descriptions, context and announcement texts where the source provided none, and generating them from structured event data where it makes sense. So a minor league fixture or a niche-sport event arrives with a proper, localised description rather than an empty slot. This is the same editorial augmentation described under Localization & Augmentation, applied to sport, in 32 languages.