By Eurohoops team / info@eurohoops.net
Although there are some truly huge sports that people love getting involved with, basketball stands out as one of the most followed. The NBA, of course, is the sport’s premier league and is home to some of the most iconic basketball sides, plus the top megastars who play ball.
All of this means that there’s a rich community of fans who religiously follow the NBA’s every move. While this includes watching games or catching up on the latest news, betting on matches is also massive. The NBA is particularly appealing to bettors, especially to those who prefer crypto betting sites. When looking for the NBA crypto betting sites, it’s important to choose from a list like this one, so that you can ensure that you are using a secure and licensed site.
Daily fantasy sports (DFS) games focused on the league are another popular way for people to get closer to the sport and have their own community of fans. Predictive analytics is becoming a staple of NBA-based DFS games and is something that is rising fast in the community. But what is it, and why has it become so widely used?
What is predictive analytics?
Predictive analytics uses data analysis, artificial intelligence, and machine learning to predict future events. This is achieved by the predictive analytics software looking at past data and making predictions based on these facts. Predictive analytics can be used across many top sports, but has recently become more commonly seen across NBA fan communities.
This now sees some truly amazing predictive analytics tools being made available for fans in these sorts of communities. For those in the DFS community who play NBA-based games, they have really taken off. This is because fans in this group can use these tools when selecting their lineup or deciding on what changes to make to it.
How do predictive analytics models work in the NBA?
In simple terms, predictive analytics is able to use previous NBA player data to predict future player performance. This helps people involved in the NBA DFS community include players in their lineup who should potentially score the most points. It also helps people in this community ditch players who are likely not to perform well moving ahead.
Although all tools like this work a little differently, most look at common metrics when analyzing player data and making predictions. This includes things like recent form, fantasy points collected, minutes on court, shots made, turnovers, points scored, steals, blocks, and rebounds.
By looking at past data, predictive analytics tools can make informed future predictions on player performance. Although nothing is ever guaranteed, it makes the decision-making process for NBA fans who play DFS games a lot more informed.
Why has predictive analytics risen in NBA fan communities?
The NBA has a thriving base of fans, and the group that plays Daily Fantasy Sports is a major part of this. But why has predictive analytics risen lately in these kinds of communities?
Perhaps the biggest reason is that more people are familiar with this kind of software now and can access it more easily online. Artificial intelligence is no longer the stuff of science fiction or something that people are cautious about using. This means NBA fan communities have no problem getting involved with predictive analytics tools and have no issue finding them via their PC, laptop or smartphone.
In addition, the NBA is the ideal sport for these kinds of tools, and fan communities soon realized this. This is because NBA matches deliver reams of data that are ideal for analytic tools to review. Huge amounts of past data allow these tools to work more effectively and make more informed predictions. NBA fans who play fantasy sports have cottoned on to this and have started to use them in greater numbers.
Why else have these tools taken off with NBA fan groups?
For the DFS fan community who loves basketball, predictive analytics models offer a more accurate way to put their lineup together. As the predictions this tech makes are based on hard facts, it takes the guesswork out of choosing players or making any changes to the roster. This stops people from making DFS calls based on gut instinct, which is often proven wrong!
These kinds of tools have also risen with NBA fans into fantasy sports because of their speed and convenience. Letting the tech sift through masses of previous game data before making decisions is much easier than spending many hours doing this yourself. Taking this approach also cuts down on the potential for human error or emotional bias when digging into past data to make decisions.
Stacking and correlation for NBA fantasy players
Predictive analytics tools have become more common in fantasy NBA fan communities lately for the help they bring with stacking. This kind of software is able to highlight any positive or negative connections between players when building a roster.
These links can be trusted as they’re based on the analysis of previous factual data involving the players. This might, for example, see predictive analytical tools predicting that stacking a center and point guard on your fantasy lineup from the same team is a smart move, as the point guard regularly assists the center.
Will predictive analytics continue to rise in NBA fan communities?
Although it’s hard to say for sure, it seems likely that these tools will continue to gain popularity with certain groups of NBA fans. Those who play DFS games based on the sport are included in this, as they have a direct use for this technology.
As more people get used to AI/machine learning tools in modern life and begin using them in other areas, this should also help them spread further in NBA supporter groups. This process has started already and has helped software like this become popular with fans.
Predictive analytics in basketball
Although other sports (such as the NFL and MLB) are ideal places to use this sort of tech, it has really taken off with many fans who follow the NBA. This is especially true for those who like to play fantasy games based on the sport, as the future predictions this tech makes are very helpful in these circumstances.