## individual statistics calculator per possessions

### Description

The function allows the calculation of the statistics per game projected to P possesions.

### Usage

```individuals_stats_per_possesion(df1, df2, df3, p, m)
```

### Arguments

 `df1` Should be a Data Frame that represents the individual statistics of the players. The parameter has to be in the format provided by the data_adjustment() function. `df2` Should be a Data Frame that represents the team's statistics. The parameter has to be in the format provided by the team_stats() function. `df3` Should be a Data Frame that represents the rival's statistics. The parameter has to be in the format provided by the team_stats() function. `p` Should be a number. This parameter has to be the number of possessions to which you want to project the statistics. `m` should be a number. This parameter has to be the duration of a single game.

### Details

The statistical projection is made from the estimation of the possessions that the team plays when the player is on the court.

### Value

Data frame with statistics by game projected to the possessions entered

### Author(s)

Fco Javier Cantero fco.cantero@edu.uah.es

### Examples

```
df1 <- data.frame("name" = c("LeBron James","Team"),"G" = c(67,0),
"GS" = c(62,0),"MP" = c(2316,0),"FG" = c(643,0), "FGA" = c(1303,0),
"Percentage FG" = c(0.493,0),"3P" = c(148,0),"3PA" = c(425,0),
"Percentage 3P" = c(0.348,0),"2P" = c(495,0),"2PA" = c(878,0),
"Percentage 2P" = c(0.564,0),"FT" = c(264,0),"FTA FG" = c(381,0),
"Percentage FT" = c(0.693,0), "ORB" = c(66,0),"DRB" = c(459,0),
"TRB" = c(525,0),"AST" = c(684,0),"STL" = c(78,0),"BLK" = c(36,0),
"TOV" = c(261,0),"PF" = c(118,0),"PTS" = c(1698,0),"+/-" = c(0,0))

df2 <- data.frame("G" = c(71), "MP" = c(17090), "FG" = c(3006),
"FGA" = c(6269),"Percentage FG" = c(0.48),"3P" = c(782),"3PA" = c(2242),
"Percentage 3P" = c(0.349),"2P" = c(2224), "2PA" = c(4027),
"Percentage 2P" = c(0.552),"FT" = c(1260),"FTA FG" = c(1728),
"Percentage FT" = c(0.729), "ORB" = c(757),  "DRB" = c(2490),
"TRB" = c(3247), "AST" = c(1803),  "STL" = c(612),"BLK" = c(468),
"TOV" = c(1077),"PF" = c(1471),  "PTS" = c(8054),  "+/-" = c(0))

df3 <- data.frame("G" = c(71), "MP" = c(17090), "FG" = c(2773),
"FGA" = c(6187),"Percentage FG" = c(0.448), "3P" = c(827),
"3PA" = c(2373), "Percentage 3P" = c(0.349),  "2P" = c(1946),
"2PA" = c(3814), "Percentage 2P" = c(0.510), "FT" = c(1270),
"FTA FG" = c(1626),  "Percentage FT" = c(0.781), "ORB" = c(668),
"DRB" = c(2333),"TRB" = c(3001),  "AST" = c(1662),"STL" = c(585),
"BLK" = c(263),   "TOV" = c(1130),  "PF" = c(1544),
"PTS" = c(7643),  "+/-" = c(0))

p <- 100

m <- 48

individuals_stats_per_possesion(df1,df2,df3,p,m)

```