Use these tables to assist in the selection of players with an increased likelihood of providing higher points returns in the forthcoming gameweeks. To view the data requires that scripts are enabled. The left pane shows the projected performance for 'your' team members. It is best to register with the site to use this facility. Utilise the filter tools at the top of the right hand table to select replacement players according to position or cost.
This tool works best if you are logged onto the fplstatistics web site and have provided your team Id number. To register click the appropraite button in the top right hand corner of the screen.
At no point in the process will you be asked to provide your main fantasy id and password!
Mins per Game
Pts in 90 mins
Games > 5 pts
Use these tables to identify players with an increased likelihood of providing higher points returns in the forthcoming gameweeks.The table on the left hand side shows the projected performance for 'your' team members. It is best to register with the site to use this facility. Utilise the filter tools at the top of the right hand table to select potential replacement players according to position or cost. Only statistics that correlate well with future point returns are shown - this is to avoid the syndrome of 'paralysis by analysis'. In effect use these tables to draw up a list of possible players to transfer in or out!
If your team members are out of date, (i.e. a team is shown from an earlier game week), then click on the 'Refresh Team' link to update the missing team members. It is important to note that the team shown will not display players transferred in or out during the current game week.
Hover your cursor over a column header to get a more detailed explanation of the columns contents.
Click on column headings to resort the data.
Pts in 90mins denotes the average points accumulated by a player in 90 minutes. A player must have played more than 90 minutes to record a value in this column.
Opp Club Pos Pts: This is a complex 'Fixture Analysis'. The higher the value the higher the likelihood that the player will supply a larger points return over the next six gameweeks. It assesses the likely points to be returned from the next six gameweeks. It firstly assess the points previously provided to players playing in the same position against each opposition teams. All data is collated from currently played fixtures in the corresponding home or away match. The final result is weighted according to the point returns supplied by opposing clubs to players playing in alternative positions. Clearly "double or nil game weeks" will significantly affect the analysis. This statistic had an excellent correlation coefficient over the last season, particularly for the home matches.
Games >=5Pts shows the numbers of times a player has scored five or greater fantasy points in a match
NPPts shows the net present points at a discount rate of 10% per gameweek (equivalent to a NPV discounted cash flow)
KPI shows a key performance indicator for each player. This is calculated using dimensional analysis based on the parameters given in this table. In essense, the higher the KPI value the greater the likelihood that the player will supply more fantasy points over the forthcoming gameweeks. This statistics had an excellent correlation coefficient over the last season.
KPIV shows the KPI value discounted according to the players value