Succeed in your fantasy football league with the data science approach
                     SUCCEED IN YOUR FANTASY 
FOOTBALL LEAGUE WITH THE 
DATA SCIENCE APPROACH
https://datasportsgroup.com/
Could Data science be the key to having a winning fantasy football league? 
Fantasy football operators would provide you with all the details you need to 
win the match, after all, the stats stay the same for you and the person who is 
winning the league day after day. 
What is the difference then? It is the strategy they use while making the 
selection, suppose the all-rounder you chose initially had injured himself right 
before the match. The good news is you have ample amount of time to pick a 
substitute but who would you choose?
Oftentimes people who are new to the fantasy sports industry would end up 
choosing a familiar face with good stats and choose the player on ‘gut feeling’. 
This is the difference between you and the person who is winning consistently in 
the fantasy league.
Giving emotions some weightage before making a decision could be the reason 
why you are not getting the results. While it could be argued that many people 
have been successful with their method but experience also counts. 
The sure shot way to have a winning fantasy league is to use data science to 
evaluate potential players first. This could give you an edge even over some 
experienced players and in the long run Data can complete with a gut feeling as 
well. 
Many players have adopted this approach while creating their own rosters for the 
league and over the course of the season have had success and even create an 
undefeated system. While their methods took years to perfect, one such player 
took 15 years to have a winning fantasy league formula but we have a secret too. 
After using a variety of methods, players' 
performance predictions is the one that truly stands 
out and has been tested many a time. This would give 
a rank on how the player has performed on the field 
over the season. Another is propensity score 
matching as well where a list of players is matched 
with historic players based on their way of playing 
and other parameters as well. 
There is a way to even compare the stats of the player and rely on the results of other 
players who have been in a similar situation. Suppose in an NFL match a new player 
would not have a lot of stats that could be used to predict how he would perform but 
his stats could be compared to other rookie quarterbacks who had similar stats as 
the new player in the first few matches and later on you can get more data points 
once you compare how the five rookie quarterbacks performed next year in similar 
circumstances. 
This method would help in creating a predictable system. Data science thus does 
offer an edge to the players at least over the users who use emotions while making a 
decision in the fantasy football league. With Data Science you can separate emotions 
and rely more on the numbers to give you a clearer picture.
 
What are the other methods of analysis one can use? 
First is Linear Regression, with this method you can see how a dependent variable 
would perform against one or more independent variables. This method could be 
used for forecasting, if one wants to see the data points for how a football player will 
perform in the future past values can be used to chalk a path. 
Next is Neural Network, this method needs a lot of data to work with but it would 
help you reach a conclusion at the end of the analysis. When one deals with a lot of 
variables at once and there is a chance of possible noise in the data Neural Network 
could give the best possible result in such a case.
Lastly, Random Forest method, you can solve several problems with their method as 
it follows an ensemble approach. As oftentimes in many situations there is not just 
one right answer there could be many and hence with this method you can get as 
many trees as you need and the tree which holds a host of results would give you 
your winning strategy.
With the data science approach, you could also factor in a player's health while 
making a decision as it would be hard to gauge the exact effect of the health without 
data. Further weather could be factored in to make a more complex system and keep 
a track of opponents' performance as well. 
Even the big sports companies rely on a data scientist to produce their own player 
rankings, this approach could truly take your game to the next level. 
Get your hands on reliable fantasy football data feed with Data Sports Group. We offer 
a specific fantasy football stats API and NFL fantasy football API to the clients that 
would help you get access to raw data feed from almost all the competitions around 
the world.
CONTACT US
Emai [email protected]
Phone - +1 (704) 964-6859
Address - 2600 Kinmere Dr
City – Gastonia
State - North Carolina
PIN – 28056
Country - USA