Most of us consider fantasy football to be a relatively recent innovation. However, the online roots of this industry can actually be traced back to 1985 thanks to a fledgling company known as Grandstand Sport Services. While developers might not have realised the appeal of these platforms at the time, it did not take long for fantasy football to enjoy a global audience. Modern technology also provides fans with a host of data-driven options to enhance the overall experience. How can analytics be used to your advantage?
Analytics for Newbies
Let's begin by explaining the role of data analytics in the larger online gaming community. Imagine that an individual has recently registered with Lucky Nugget online casino. He or she will be provided with immediate access to a host of on-site options, such as:
- Classic table games
- Slots
- Live dealer games
- Ongoing bonuses and promotions
- Instant-win games
However, it can still be difficult to determine important metrics such as the return-to-player (RTP) percentage, the level of volatility, and which titles are the most popular. Data analytics will collate this information, and present it in a user-friendly manner. In other words, it is much easier to make an informed decision. So, how can this approach be applied to fantasy football?
Player Strengths and Weaknesses
Similar to real-life football, the success of any fantasy league team is based on how each player performs. Cutting-edge analytics allow users to quickly evaluate the talents of each personality, and any weaknesses that may be present. Gathering this data could require an immense amount of time otherwise, and mistakes could always be made.
Competitive Analyses
How is a team predicted to perform against an arch rival? Data analytics can address this important question with the help of historical results. This may also be used to evaluate player-versus-player outcomes. Considering the highly competitive nature of fantasy football, such tools will undoubtedly come in handy.
Informed Trading Decisions
Taking on the role of a fantasy football manager can be a daunting task. While challenges always exist, data analytics can address specific pain points, such as which trades will prove to be the most valuable. This allows users to make snap decisions, and to enjoy a higher overall return-on-investment. Making informed roster moves is a great way to bend the odds in your favour, and to build a powerful club from the ground up.
Note that analytics are not meant to replace human decisions. They can instead be used to augment your current strategies, and to highlight any potential weak points. When used in conjunction with experience, and an innate knowledge of the sport, success may be closer than you think. As analytical platforms develop even more user-friendly interfaces, we can expect these systems to become an integral part of fantasy football.
