Choose a Sportsbook Provider for Your Online Casino
The online sports betting market has been growing for years, and forecasts remain favorable. In Latin America, it is estimated that the global GGR will reach 3.4 billion dollars by 2025, which represents a 261.5% increase compared to the 1.3 billion recorded in 2020. Choosing a sports betting provider that ensures the proper functioning of this vertical is essential: it is not just about competitive odds but also an adaptable front-end, reliable streaming, experienced trading teams, risk management, and a strong live offering.
With so many differentiating factors, we have divided the analysis into episodes. This first chapter focuses on the foundation of every strategy: the raw data providers, known as feeds, responsible for the analysis and odds comparison that will allow for effective operations tailored to each operator's risk level.
What Are Feeds or Raw Data Providers?
Raw data constitute the first link in the value chain. Companies like Sportradar, Betgenius, Sporting Solutions, LSports, or IMG collect information from a wide variety of sources—live broadcasts, sensors, tracking devices, official records, and manual observation—to obtain a comprehensive view of each event's performance. Sportsbook providers like Kambi or Altenar contract these data, analytics, and odds comparisons as the foundation of their offerings.
Data Collection
Live broadcasts provide specific statistics for each sport: key plays, possessions, shots, goals, or fouls. In disciplines like soccer, basketball, or rugby, sensors and GPS or RFID devices are added to capture the ball's trajectory and speed or players' movements. When these technologies are unavailable, analysts present at the stadium—or following the broadcast—manually record all information. Accuracy and speed in data collection are essential to feed real-time calculation models.
Calculation and Odds Comparison
With the complete statistical base, an analysis is applied that includes averages, deviations, and other descriptive measures to evaluate performance. Predictive models, supported by machine learning and data mining, transform the statistics into outcome probabilities. These probabilities are assigned an odd after incorporating external factors such as injuries, team changes, weather conditions, or expert statements.
The house margin is reflected in the sum of the implicit probabilities: the closer it is to one hundred percent, the more competitive the odd, and the greater the risk for the operator. Balancing this is key to offering attractive prices without compromising profitability.
The Role of the Sportsbook Provider
Although the feed is the raw material, the sportsbook provider adds value on multiple fronts: market positioning, front-end design, risk control, price management, and affiliate tools or widgets. In future episodes, we will address each of these aspects, as well as the importance of streaming, probability advising, and model automation.
Trends and Challenges
The demand for real-time data requires providers to process and distribute information almost instantly. At the same time, artificial intelligence and automation allow for optimized analysis and increasingly personalized services. For the operator, understanding these trends and choosing a partner capable of meeting them is decisive.
Create Your Rules
This episode inaugurates a series on the criteria for choosing a sportsbook provider. We will soon delve into variables like streaming, risk management, and front-end integration. If you want to thoroughly understand the sector and apply a competitive sports betting strategy, don't miss the upcoming installments.
