MHB Correlation to Winning question

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The discussion focuses on analyzing volleyball data to identify which statistics correlate with winning games. The primary metrics under consideration are points scored (Pts), errors (Err), point differential (Diff), and efficiency percentage (EFF%). It is suggested that EFF% is a strong predictor of winning, with specific thresholds indicating likely outcomes. The user seeks guidance on how to statistically derive the best predictors from the dataset, emphasizing the need for a methodological approach rather than direct answers. Understanding these correlations can enhance strategies for achieving victories in volleyball matches.
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I have a bunch of data for volleyball and I am trying to figure out how correlated certain stats are to winning a game. Here is a small example of the data set.

[TABLE="width: 500"]
[TR]
[TD]Pts
[/TD]
[TD]Err
[/TD]
[TD]Diff
[/TD]
[TD]EFF%[/TD]
[TD]Win
[/TD]
[/TR]
[TR]
[TD]21
[/TD]
[TD]10
[/TD]
[TD]11
[/TD]
[TD].360
[/TD]
[TD]1
[/TD]
[/TR]
[TR]
[TD]21
[/TD]
[TD]10
[/TD]
[TD]11
[/TD]
[TD].350
[/TD]
[TD]1
[/TD]
[/TR]
[TR]
[TD]18
[/TD]
[TD]11
[/TD]
[TD]7
[/TD]
[TD].250
[/TD]
[TD]1
[/TD]
[/TR]
[TR]
[TD]14
[/TD]
[TD]6
[/TD]
[TD]8
[/TD]
[TD].280
[/TD]
[TD]1
[/TD]
[/TR]
[TR]
[TD]19
[/TD]
[TD]10
[/TD]
[TD]9
[/TD]
[TD].380
[/TD]
[TD]1
[/TD]
[/TR]
[TR]
[TD]17
[/TD]
[TD]6
[/TD]
[TD]11
[/TD]
[TD].300
[/TD]
[TD]1
[/TD]
[/TR]
[TR]
[TD]12
[/TD]
[TD]9
[/TD]
[TD]3
[/TD]
[TD].200
[/TD]
[TD]0
[/TD]
[/TR]
[TR]
[TD]14
[/TD]
[TD]10
[/TD]
[TD]4[/TD]
[TD].100
[/TD]
[TD]0
[/TD]
[/TR]
[TR]
[TD]11
[/TD]
[TD]8
[/TD]
[TD]3
[/TD]
[TD].050
[/TD]
[TD]0
[/TD]
[/TR]
[/TABLE]

I am trying to determine which of these items are most correlated to winning (the last column). As you can see if it is a win the value is 1 and if not then it is a 0. In addition, to determining the most useful stats for determining a win, I would like to know what levels each of the first 4 columns should be in order to generate a win at a certain confidence level.

Any help with this is greatly appreciated.

Thanks
Jamie
 
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vballer said:
I have a bunch of data for volleyball and I am trying to figure out how correlated certain stats are to winning a game. Here is a small example of the data set.

[TABLE="width: 500"]
[TR]
[TD]Pts[/TD]
[TD]Err[/TD]
[TD]Diff[/TD]
[TD]EFF%[/TD]
[TD]Win[/TD]
[/TR]
[TR]
[TD]21[/TD]
[TD]10[/TD]
[TD]11[/TD]
[TD].360[/TD]
[TD]1[/TD]
[/TR]
[TR]
[TD]21[/TD]
[TD]10[/TD]
[TD]11[/TD]
[TD].350[/TD]
[TD]1[/TD]
[/TR]
[TR]
[TD]18[/TD]
[TD]11[/TD]
[TD]7[/TD]
[TD].250[/TD]
[TD]1[/TD]
[/TR]
[TR]
[TD]14[/TD]
[TD]6[/TD]
[TD]8[/TD]
[TD].280[/TD]
[TD]1[/TD]
[/TR]
[TR]
[TD]19[/TD]
[TD]10[/TD]
[TD]9[/TD]
[TD].380[/TD]
[TD]1[/TD]
[/TR]
[TR]
[TD]17[/TD]
[TD]6[/TD]
[TD]11[/TD]
[TD].300[/TD]
[TD]1[/TD]
[/TR]
[TR]
[TD]12[/TD]
[TD]9[/TD]
[TD]3[/TD]
[TD].200[/TD]
[TD]0[/TD]
[/TR]
[TR]
[TD]14[/TD]
[TD]10[/TD]
[TD]4[/TD]
[TD].100[/TD]
[TD]0[/TD]
[/TR]
[TR]
[TD]11[/TD]
[TD]8[/TD]
[TD]3[/TD]
[TD].050[/TD]
[TD]0[/TD]
[/TR]
[/TABLE]

I am trying to determine which of these items are most correlated to winning (the last column). As you can see if it is a win the value is 1 and if not then it is a 0. In addition, to determining the most useful stats for determining a win, I would like to know what levels each of the first 4 columns should be in order to generate a win at a certain confidence level.

Any help with this is greatly appreciated.

Thanks
Jamie

I'm not sure that you strictly mean correlated, the best predictor for winning for this data is EFF% where EFF%>=0.25 predicts a win and EFF%<=0 predicts a loss and between 0.2 and 0.25 is a no-man's land.

Diff will also provide a perfect predictor for this data but the no-man's land is relatively wider.

Without knowing what the real question is there is little more that it is worth saying.

CB
 
Let me try this again with the actual data set attached.

Most importantly I am not looking for the actual answer but more how to derive the answer. I guess when you say predictor how did you determine this?

To recap, I have 7 columns of stats and the 8th column is 1 if the game was won and 0 if it was lost. So how do I determine what the best predictors of a win are?

Thanks

View attachment 148
 

Attachments

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