THE

Moreover, timely updates reduce bet delay and bring bet decline to a minimum, so that users don’t have to contend with errors or changes to the odds while they’re betting. This improves bettors’ overall experience with the platform, thereby improving retention, turnover, and ultimately, bookmakers’ profits.

Of course, there are plenty of cheaper alternatives on the market, such as data parsed from other operators and other secondary sources. These feeds aren’t particularly detailed, and there can be delays of up to tens of minutes. I would say that esports markets based on this data are more of an experiment than they are a business.

IT’S ABOUT MORE THAN DATA

Data by itself isn’t a guarantee of success. It’s just as important to consider how you use it.

This is where experienced traders and cutting-edge software come into play. At Data.Bet we’ve created AIbased software, which we are constantly updating. We constantly fill it with historical data on previous results of players and teams, enabling our models to provide more accurate predictions for upcoming matches.

Typically, providers update their historical data every 1-2 months. We do it as often as possible, once every 1-2 weeks, so that our model has access to the most upto-date information. This is especially important during the active competitive season.

Although providing detailed input data is vital, the system constantly needs to be trained. For example, we monitor the size of odds margins and ‘retrain’ the model to maximise them. We take user betting trends into account, i.e. we track what bets our partners’ users are placing and adjust our odds accordingly.

We use these outputs to improve our software. Thus, the model turns into a sort of ‘brain’ that has a nuanced understanding of our partners’ business and spends every minute it can working to make it more profitable.

But you shouldn’t leave esports trading purely to software. Especially when it comes to Tier-1 tournaments. A live trader can see how players’ emotions affect their performance, evaluate teamwork, and see the effect of many more social factors, up to and including political situations and cultural conflicts.

The combined synergy of detailed data updated in real time, constant AI software training, and experienced traders is what allows bookmakers to meet all their audience’s needs in terms of esports, and, most importantly, make it profitable.