Bayes Live Match Data is an undelayed and high-granularity data feed, covering some of the world's most relevant esports matches. Thanks to our partnerships with leading tournament organizers like EFG, BLAST, and others, the data we provide to our customers comes directly from the source.
Detailed insights can have huge benefits in a variety of digital use cases. Access to certain data points can unlock more unique fan experiences and allow businesses to build higher quality and more reliable products. At Bayes Esports, we understand the power of precision and have recently launched new technical upgrades. The level of granularity Bayes Esports provides is unmatched anywhere else on the market.
Keep reading to discover the benefits of granular data and how Bayes Esports is turning it up a notch.
Bayes Esports has recently enhanced its Live Match Data for Counter-Strike, providing far more granularity than ever before. To give some context, previously our Live Data for CS2 could only differentiate when there was a kill, headshot, or assist. Bayes Esports now has the technology to go even deeper. With this latest update, our customers can now see more than just when a player is killed, but also how they are killed. For example, Wallbang, Blind Kill, Through Smoke, No-Scope, and even In Air Kill. Additionally, we can now differentiate assist types, identifying whether an assist was a flash assist, where an opponent is blinded by a grenade.
This advancement is made possible by Bayes Esports’ industry-leading technical capabilities. Instead of getting data from the game publishers, Bayes Esports can extract the data directly from the game server itself. This allows us to get more granular data points live, unlike any other provider on the market.
While esports is the fastest-growing betting category on the market, there are some significant differences sportsbooks must look what for when building their portfolio.
Imagine a football game. It is easy to follow a match as everything can be seen right in front of your eyes with one ball being passed from player to player. In Counter-Strike, however, there are 5 players per team, each at a different corner of the map. With so many actions happening at once, it’s impossible to track everything by watching from one perspective.
Another key component of esports is being sneaky, and not knowing where your opponent is. To protect the integrity of the match, you usually don’t see key data points until after they have occurred. This is why granular data must be collected directly from the tournament organizers to ensure every data point is received.
Using granular data will impact the quality of your sportsbook solutions but also help you stand out from the crowd. Instead of offering basic betting options like “Total Headshots Map x,” you can now offer more unique and engaging markets using Bayes Live Match Data. Imagine offering bets on:
In Q1 of 2024, it was reported that over 60% of bets are placed after a match has begun. This high revenue opportunity requires keeping bettors engaged throughout the entirety of a match.
This granular data is beneficial to more than just sportsbooks. It can generate captivating statistics, enhancing the overall experience for esports fans. Whether you are a tournament organizer or a media platform, you can capture the excitement that matches what we’ve come to expect and love from traditional sports.
In traditional sports, engaging statistics play a crucial role in enhancing fan engagement. For example, in football, while tracking the highest amount of goals scored is interesting, deeper insights can take the story to a whole new level such as the most amount of goals from outside the box or the most amount of goals off a corner kick.
Discover how you can build this record-breaking excitement with Bayes Live Match Data. Imagine a future where fans can follow statistics such as which team recorded the most in-air kills or which player achieved the highest number of no-scope kills. The types of records make a game more thrilling and create deeper connections for teams, players, and fans. By leveraging granular data, the esports industry can evolve into something we’ve come to know and love from traditional sports.
Bayes Esports is on a mission to develop a unified data layer across tournament organizers, and game titles. This would create one trusted source for stats in order to build unique esports records. This update will provide huge benefits right away but over time, as the historical data is aggregated, the opportunity for even more creative product development will be unlocked.
Thomas Broemel is a Senior Product Manager leading a team responsible for delivering live esports data, managing fixtures, and developing internal tools for operators. His work focuses on ensuring accurate data delivery across a range of esports titles.
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