scoringRules: Default scoring rules.

In dadrivr/ffanalytics: Fantasy Football Analytics

Description

The example below shows the default scoring rules implemented. The ptsBracket element is only required if you have a DST element defined. To create a custome scoring rule create a list with a data table for each position. Each data table has two columns dataCol, multiplier. The dataCol column is the name of the scoring variable and multiplier is the multiplier to be used for the scoring variable. For example, in the default scoring rule you can see that passTds for QB has a multiplier of 4 indicating that 4 points is awarded per passing TD.

Usage

scoringRules

Examples

scoringRules <- list(
   QB = data.table::data.table(dataCol = c("passYds", "passTds", "passInt", "rushYds", "rushTds", "twoPts", "fumbles"),
                               multiplier = c(1/25, 4, -3, 1/10, 6, 2, -3 )),
   RB = data.table::data.table(dataCol = c("rushYds", "rushTds", "rec", "recYds", "recTds", "returnTds", "twoPts", "fumbles"),
                               multiplier = c(1/10, 6, 0, 1/8, 6, 6, 2, -3)),
   WR = data.table::data.table(dataCol = c("rushYds", "rushTds", "rec", "recYds", "recTds", "returnTds", "twoPts", "fumbles"),
                               multiplier = c(1/10, 6, 0, 1/8, 6, 6, 2, -3)),
   TE = data.table::data.table(dataCol = c("rushYds", "rushTds", "rec", "recYds", "recTds", "returnTds", "twoPts", "fumbles"),
                               multiplier = c(1/10, 6, 0, 1/8, 6, 6, 2, -3)),
   K = data.table::data.table(dataCol = c("xp", "fg0019", "fg2029", "fg3039", "fg4049", "fg50"),
                              multiplier = c(1,  3, 3, 3, 4, 5)),
   DST = data.table::data.table(dataCol = c("dstFumlRec", "dstInt", "dstSafety", "dstSack", "dstTd", "dstBlk"),
                                multiplier = c(2, 2, 2, 1, 6, 1.5)),
   DL = data.table::data.table(dataCol = c("idpSolo", "idpAst", "idpSack", "idpInt", "idpFumlForce", "idpFumlRec", "idpPD", "idpTd", "idpSafety"),
                               multiplier = c(1, 0.5, 2, 3, 3, 2, 1, 6, 2)),
   LB =  data.table::data.table(dataCol = c("idpSolo", "idpAst", "idpSack", "idpInt", "idpFumlForce", "idpFumlRec", "idpPD", "idpTd", "idpSafety"),
                                multiplier = c(1, 0.5, 2, 3, 3, 2, 1, 6, 2)),
   DB = data.table::data.table(dataCol = c("idpSolo", "idpAst", "idpSack", "idpInt", "idpFumlForce", "idpFumlRec", "idpPD", "idpTd", "idpSafety"),
                               multiplier = c(1, 0.5, 2, 3, 3, 2, 1, 6, 2)),
   ptsBracket = data.table::data.table(threshold = c(0, 6, 20, 34, 99),
                                       points = c(10, 7, 4, 0, -4))
)

dadrivr/ffanalytics documentation built on May 14, 2019, 3:12 p.m.