The data in this dashboard is from the 2011 MLB Season and was obtained from a site that primarily deals with fantasy baseball. The first set of graphs have player valuation metrics on the X-axis (where the higher the numeric value, the more valuable a player could be perceived to be). The Y-axis has several different statistics trying to determine which one is the best predictor. Its interesting because HR, R, and RBI all implied a strong, positive linear relationship which makes sense (the more HR/R/RBI the higher the valuation metric was)...but OPS which in the sabermetrics community is one of the most valuable tools in measuring a players value appears to have a less linear and less positive relationship. The valuation metrics on the X-axis are primarily used for fantasy baseball (where I got the data) so ultimately it does make sense that RBI/R/HR would have a highly correlated relationship but as for OPS it is odd that it is not a predictor. This data demonstrates in an extremely small sense some of the disconnect between advanced metrics (OPS) in baseball and the old guard stats (HR/R/RBI) and how they are valued. If you read almost any literature on sabermetrics it will talk about how OPS, WAR, VORP, OPS+ are the stats you should be paying attention to and that the traditional ones such as HR/RBI/R are not accurate indicators of a player's true value.
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