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mlee
Frequent Visitor

Displaying winning pct% against each opponent

Hello. I'm new to Power BI and am not sure how to tackle the following problem.

 

I have a csv file which contains the following columns (name1, name2, winner, fieldcondition).

 

Example rows are: John, Susan, John, Dry and Phil, Greg, Greg, Wet. 

 

What I'd like to show are a couple of things:

 

1. I'd like to show the winning pct% for each player against each opponent. For example, I'd like to display John's winnng pct% against Susan and then his winning pct% against Phil, and so on. 

2. After I get the above working I'd like to add in another factor where I'd like to see for example Phil's winning pct% against each opponent but in this case flip between dry and wet field conditions. For example, Phil's winning pct% against Susan is 75% when dry but drops to 50% when wet.

 

Is this sort of thing doable in Power BI? 

 

Thanks,

 

Mike

1 ACCEPTED SOLUTION
v-sihou-msft
Employee
Employee

@mlee

 

In this scenario, your source table is for match level. Since you want to analysis player data, I suggest you duplicate your dataset, swap name1 and name2 columns in duplicated dataset, then combine two datasets together. So for each match, it will have two entries, one for player 1, the other for player 2. You dataset can be like:

 

Player Opponent winner field condition

John, Susan, John, Dry

Susan, John, John, Dry

 

Add a win tag column like:

 

isWin = IF(Table[Player]=Table[winner],1,0)

To calculate the win rate versus some player, you can use ALLEXCEPT() to have your calculation group on both play and opponent.

 

 

Win Rate =
CALCULATE (
    COUNTROWS ( Table ),
    ALLEXCEPT ( Table, Table[Player], Table[Opponent] )
)
    / CALCULATE (
        COUNTROWS ( Table ),
        ALLEXCEPT ( Table, Table[Player], Table[Opponent] ),
        FILTER ( Table, Table[isWin] = 1 )
    )

 

If you also want analysis based on fieldcondition, just add that column into ALLEXCEPT() function.

 

Win Rate =
CALCULATE (
    COUNTROWS ( Table ),
    ALLEXCEPT ( Table, Table[Player], Table[Opponent], Table[fieldcondition] )
)
    / CALCULATE (
        COUNTROWS ( Table ),
        ALLEXCEPT ( Table, Table[Player], Table[Opponent], Table[fieldcondition] ),
        FILTER ( Table, Table[isWin] = 1 )
    )

Regards,

 

View solution in original post

1 REPLY 1
v-sihou-msft
Employee
Employee

@mlee

 

In this scenario, your source table is for match level. Since you want to analysis player data, I suggest you duplicate your dataset, swap name1 and name2 columns in duplicated dataset, then combine two datasets together. So for each match, it will have two entries, one for player 1, the other for player 2. You dataset can be like:

 

Player Opponent winner field condition

John, Susan, John, Dry

Susan, John, John, Dry

 

Add a win tag column like:

 

isWin = IF(Table[Player]=Table[winner],1,0)

To calculate the win rate versus some player, you can use ALLEXCEPT() to have your calculation group on both play and opponent.

 

 

Win Rate =
CALCULATE (
    COUNTROWS ( Table ),
    ALLEXCEPT ( Table, Table[Player], Table[Opponent] )
)
    / CALCULATE (
        COUNTROWS ( Table ),
        ALLEXCEPT ( Table, Table[Player], Table[Opponent] ),
        FILTER ( Table, Table[isWin] = 1 )
    )

 

If you also want analysis based on fieldcondition, just add that column into ALLEXCEPT() function.

 

Win Rate =
CALCULATE (
    COUNTROWS ( Table ),
    ALLEXCEPT ( Table, Table[Player], Table[Opponent], Table[fieldcondition] )
)
    / CALCULATE (
        COUNTROWS ( Table ),
        ALLEXCEPT ( Table, Table[Player], Table[Opponent], Table[fieldcondition] ),
        FILTER ( Table, Table[isWin] = 1 )
    )

Regards,

 

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