Elevate your Football Fantasy League with Data Science
                     ELEVATE YOUR FOOTBALL 
FANTASY LEAGUE WITH DATA 
SCIENCE
https://datasportsgroup.com/
Have you ever wondered how some people keep on winning in their Fantasy 
football league while some even after putting in time and efforts do not do all that 
well? If you are playing for money, wouldn't you like to improve your odds of 
winning? The only differentiating factor in both cases would be the decision-
making process. 
Most of the decisions when it comes to creating a fantasy team are based on 
intuitions. One of the rookie mistakes almost everyone makes is selecting the 
player based on our personal preferences and biases. While it could give you a 
good feeling while drafting the team, the chances of winning with such a policy 
would be very difficult. 
Take an example suppose a running Back dropped out of the game due to a long-
term injury now you need to quickly decide on a replacement for him, you go 
through the list, scan the stats of the player briefly and you connect with one of 
the players because you like his attitude and take a snap decision and add him to 
your roster. And it could be just this one decision that could cost you a lot of 
money. 
An emotional decision may even work for some but a data science-based 
approach has a better chance of working and provides a reliable method for 
gauging the potential of the player in the long term. While gut feelings would 
fluctuate from time to time but Data based approach based on fantasy football 
stats is tried and tested and would result in a better roster most of the time. 
Many league leaders have 
realized the value addition 
provided by employing data 
science in the decision-making 
process and the fantasy football 
team has relatively performed 
better over the course of the 
season and even amounted to 
substantial winning as well with 
an almost unbeatable system. 
Here one could even argue that the knowledge you have gained over time by 
tracking every sports event and studying the stats in depth can also result in a 
win, I wouldn't argue with you because after all we are not focused on winning 
once but to come up with a more upgraded system of selection of players that 
would consistently deliver results rather than having a lucky hunch. 
Now coming on to the next part of the process, which method to adopt for 
selecting the fantasy football roster, some track past player performance but 
adopting a predictive approach would be better where you would be able to rank 
the players according to how they would perform on the field. This method is 
called propensity score matching. 
Create Data Points. While the 
performance in the current season 
could offer some insight about the 
player but it would lack depth and 
data points that could truly be relied 
upon while decision making. We need 
to move beyond the current season is 
the key, factor in the results of other 
NFL players who were in an identical 
situation. Suppose we want to know 
more about a veteran player who ran 
1,200 yards in his 5th season we 
would not just factor in his stats but 
also of other age-appropriate running 
backs like him.
The main aim is to create more relevant data points that could serve as a yardstick 
for his future performance. 
Suppose the player is a rookie and has just played six to seven matches so far, we 
now have a limited amount of data to work with. Even if we compare the current 
season no definitive predictions can be made in such a case based on his data 
alone. Thus, here we would compare his six to seven games to another rookie of 
similar position let say our main player was a quarterback. We will compare his 
stats with a rookie quarterback that had six games in the season and then we 
would see how his performance was next year. Here you need to keep in mind the 
rules of the league as well. 
Relying on Data science is just about having an edge over opponents who are 
making a decision solely based on emotions and intuitions. It would even help you 
make a decision independent of your biases and separate emotions from the game 
as well. 
While such a method should give you results but there are other methods as well 
that can help in selecting a better roster- Linear Regression, Random Forest and 
Neural Network 
There are so many factors that can affect players' performance like health, 
weather if you include that in your football data analysis as well, it would give you 
a more robust solution. The only way to get access to such comprehensive fantasy 
football data would be to either do it manually or to get in touch with 
sports data providers, who are essentially football data companies, who can give 
you access to historical and live data. Data Sports Group has established itself in 
this category by providing raw sports data services. With fast delivery of real-time 
data and decades of historical data combined with Artificial Intelligence (AI) and 
automated machine learning models improve your Football Fantasy League.
CONTACT US
Emai [email protected]
Phone - +1 (704) 964-6859
Address - 2600 Kinmere Dr
City – Gastonia
State - North Carolina
PIN – 28056
Country - USA