To find out the decision making in famous online game - Fantasy Premier League. (FPL)

FPL provides opportunity for enthusiasts to try their hand at decision making. To predict the best set of players who perform every game. Points are given based on various parameters.

Consider for example, this team ** this respective data set was found for the maximum amount of points of 2016/2017 FPL season

Position Name Cost Points

Goalkeeper Tom Heaton 5.0 149.0

Goalkeeper Fraser Forster 5.0 134.0

Defender Charlie Daniels 5.0 134.0

Defender César Azpilicueta 6.5 170.0

Defender Gary Cahill 6.5 178.0

Defender Marcos Alonso 7.0 177.0

Defender Gareth McAuley 5.0 131.0

Midfielder Joe Allen 5.5 118.0

Midfielder Christian Eriksen 9.5 218.0

Midfielder Bamidele Alli 9.5 225.0

Midfielder Etienne Capoue 5.5 131.0

Midfielder Robert Snodgrass 6.0 133.0

Forward Joshua King 7.5 178.0

Forward Jermain Defoe 8.0 166.0

Forward Roberto Firmino 8.5 180.0

Total cost: 100.0

Total points: 2422.0

Formation: 2-5-5-3

From FPL / EPL - All the raw data, statistics related to players, teams, points, etc

Using Simple Statistics and Machine Learning (if need be) to analyse every player, team and score

For every user, to make sense of data and to understand the 3 outcomes of the problem, using interactive techniques - graphs,pie charts and diagrams all with respect to the data set