Sports betting data collects all information that can be used to place bets on sports. This includes any kind of sport, from football to esports to dressage.
The primary source of sport betting data comes from the games or competitions themselves. These can be live plays or previously-held games.
Secondary data sources include social wagering sites, sportsbooks, and datasets listing previous injuries or individual players stats.
This data is usually made available in XML or JSON format and broadcast via live API feeds. Bookmakers and sports betting sites then route the data to provide specific bets: for example, over-unders, point-spreads, futures, and prop bets.
Sports fans and bookmakers are the primary users of this data, of course. But official leagues or teams also partner with betting data sources, as in the case of clubs that want to engage even more with fans.
Meanwhile, league officials often use this data to identify likely match fixing or other cheating. Detailed records of athletic performance down to the slightest action provides good evidence for whether an athlete or team competed in good faith.
The most important factor in quality this betting data is speed. The data must be accurate, of course, but it must also update in real-time. This is especially important for real-time in-game betting.
It is also good to enrich your data with additional datasets. Player injuries datasets, for example, most certainly factor in many fans’ betting decisions.
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These days bettors want more than just a range of markets to bet on from live sports only. Increasingly betting and gaming businesses are investing in stimulated content to mitigate the ongoing impacts suffered during Covid.
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