Post by aaron_commissioner on Dec 27, 2017 22:50:45 GMT -8
Tableau WAR Charts
The above link is a compilation of some of my research this evening. Basically, there are three charts that show the relationship between WAR and Wins from every team, 2017-2019.
To toggle between the three sheets, look to the "Metadata" section at the bottom right corner.
Some information to help you understand the chart:
Trend lines are included. These are important for a few reasons:
- Teams above the trend lines outperformed their WAR totals (and might be considered "lucky"). Teams under the line, similarly, could be considered "unlucky"
- The trend lines also show two important numbers:
- R-squared: correlation coefficient. The closer this number is to 0, the more likely these two pieces of data have no relation. The closer to 1 or -1, the more likely that there is a connection.
- Wins, compared to batting and pitching WAR, individually yields a R-squared value of around 0.80. This shows a strong relationship.
- When comparing Wins to Combined WAR, the R-squared value is almost 0.93. This is a very strong relationship.
- Of course, it is no surprise that Wins and WAR are related.
- P-value: This is a statistical term to determine how much the data as a whole actually means something and can be trusted. Anything less than 0.1 is usually acceptable.
The above link is a compilation of some of my research this evening. Basically, there are three charts that show the relationship between WAR and Wins from every team, 2017-2019.
To toggle between the three sheets, look to the "Metadata" section at the bottom right corner.
Some information to help you understand the chart:
Trend lines are included. These are important for a few reasons:
- Teams above the trend lines outperformed their WAR totals (and might be considered "lucky"). Teams under the line, similarly, could be considered "unlucky"
- The trend lines also show two important numbers:
- R-squared: correlation coefficient. The closer this number is to 0, the more likely these two pieces of data have no relation. The closer to 1 or -1, the more likely that there is a connection.
- Wins, compared to batting and pitching WAR, individually yields a R-squared value of around 0.80. This shows a strong relationship.
- When comparing Wins to Combined WAR, the R-squared value is almost 0.93. This is a very strong relationship.
- Of course, it is no surprise that Wins and WAR are related.
- P-value: This is a statistical term to determine how much the data as a whole actually means something and can be trusted. Anything less than 0.1 is usually acceptable.