Over the last few weeks, a spate of losing has sent the Yankee Universe spiraling into a state of depression. So, what better time to take a look at a statistic called WPA?
Although many new sabermetric tools can be intimidating, Win Probability Added, or WPA, is a fun stat. Basically, it tries to determine the impact of every play on the outcome of an individual game. Instead of getting too caught up in the derivation, it’s better to simply think of WPA as a metric that identifies the pivotal points that often go unnoticed in a regular box score. In a sense, it is the mathematical equivalent of the late Bill Gallo’s classic “Hero and Goat” cartoons that appeared in the New York Daily News for over 50 World Series.
Unlike most context neutral statistics, which are generally favored in the sabermetric world, WPA rewards (or punishes) a player as much for the contributions of his teammates as his own performance. It also shifts the focus from what a player does to when he does it. As a result, it’s most useful for measuring the impact of a particular play, not the value of an individual player. At the risk of opening a whole new can of worms, WPA can also be considered a measurement of clutch, provided you define the concept in terms of the event that transpired and not the person who performed it (i.e., a clutch hit doesn’t necessarily imply a clutch hitter).
Last night’s 15th inning tug-of-war between the Yankees and Orioles is the perfect game to illustrate the usefulness of WPA. As evident in the win expectancy chart below, just about every play in a close game can have a significant impact on a team’s chances of winning. However, certain moments always emerge as turning points, and that’s what WPA helps to identify.
By taking these game-by-game snapshots and compiling them into a cumulative total, WPA highlights the players who have most often come through in the clutch. To no surprise, Curtis Granderson has boosted the Yankees fortunes more than any other batter*. His 1.4 WPA is not only almost three times the next closest contributor, but the total is good for sixth best among all American League hitters (although less than half of Jose Bautista’s league-leading 3.0). On the other end of the spectrum, several key Yankees have underwhelmed in terms of WPA. In particular, Brett Gardner, Nick Swisher and Derek Jeter have all posted a significantly negative contribution to win probability, which helps explain why the Yankees’ offense has been sputtering for so long.
*WPA is also calculated for pitchers, but we’ll save them for another post.
Yankees WPA Scores (Offense): Cumulative and by Outcome
Note: As of May 18, 2011
Looking at cumulative WPA can sometimes be misleading because several smaller contributions can be overshadowed by one epic result. In order to get a better idea of who has been “coming through” on a more consistent basis, it’s often better to look at WPA scores for individual games instead of one combined total.
As evident from the graph above, the Yankees’ leader and laggard in terms of WPA have both earned their status over the course of the entire season. Granderson’s consistent contributions to winning are noted by the dominant splashes of blue above the x-axis, while Gardner’s frequent failures at key moments are outlined in red.
Finally, returning to concept of goats and heroes, the table below lists the number of times each player has had either the highest WPA in a win or the lowest WPA in a loss. Although rudimentary in terms of analysis, these classifications usually match closely with observation and sometimes help explain why a particular player has earned a positive or negative reputation when it comes to pressure situations.
So, how does WPA jive with your observations?