Pirates: Week 16 update

Joe Robbins

I fell behind updating the "Return to Average" and "Win Probability" graphs because I was busy covering the Pirates at PNC Park and Wrigley Field the last few weeks. In what follows I attend to those updates along with a small feature looking at the Pirates' bullpen Shutdown and Meltdown numbers in historical perspective.

There's a lot to get to, so without further ado:

Return to Average Series

For those of you who are new to "Return to Average" series, it simply compares Pirates run scoring and run prevention to National League average. Specifically, I track the Pirates runs scored per game (RS/G) to National League average; and runs allowed per game (RA/G) to 90 percent of National League average.

The reason I track runs scored at league average and runs allowed at 90 percent of NL average stems from a little historical discovery I made: from 1980 to 2011, only one NL team has won 87 games while scoring less than 99 percent of NL league average runs AND allowing over 91 percent of league average runs.

If historical trends hold, in order for the Pirates to win 87 games they are going to have to score more than a league average number of runs per game, OR hold runs allowed below 91 percent of league average. Since it looks like they are not going to score a league average number of runs, monitoring run prevention at the 90 percent threshold seems relevant.

In addition to the implications for the Pirates' postseason hopes, the "Return to Average" series is mostly intended, and was originally designed, to simply provide an interesting way to visualize the very bumpy nature of run scoring and run prevention over the course of a season. The lines in the graph tell the story of the season in their own way.

Pirates Run Scoring: Bucs have scored less than league average RS/G for three weeks in a row

Blue line - (RS/G for the week) the average runs scored per game for the week.
Red line - (RS/G for the 2013 season) the average runs scored per game for the 2013 season.
Green line - (RS/G for 2012 season) the average runs scored per game by the 2012 team over the same number of games.
Purple line - (RS/G NL average) current National League runs scored per game.

(click to enlarge all tables)

Rtaw16o_medium

Tracking the red and green lines, we can see two things. First, the upward slope of the green line shows that the early season offensive catastrophe that the 2012 team suffered was long over by this point the season. Second, the intersection of the green and red lines shows that the 2012 offense eclipsed the 2013 Pirates offense about four weeks ago. The current gap is .25 runs per game between the two teams.

Tracking the red and the purple line we see that the 2013 offense has spent exactly one week with a run scoring average above National League average

Finally, the blue line shows that the Pirates offense has spent three straight weeks scoring under National League average. The longest streak of below average scoring is four weeks, weeks 7 to 10.

Run Prevention: for 10th straight week, the Pirates RA/G average remains well below 90 percent of NL average.

The lines on the table are the same except that they represent runs allowed. (Remember the purple line represents 90 percent of league average runs allowed - so 10 percent lower than actual average.)

Rtaw16d_medium

Tracking the green and red lines: for the last nine weeks, the run prevention of the 2013 team has been lower than the 2012 team. The spread between the two team is now .34.

Tracking the purple and red lines: for 10 straight weeks, the Pirates have been well below 90 percent of runs allowed per game. The current difference is .33.

The blue really dramatically shows how good the Pirates' run prevention has been some weeks. Four times they allowed less then 2.5 runs a game in a week.

Win Probability Added Series

(Bullpen continues to lift team)

Earlier this season I became curious about how many individual games Pirates' starting pitchers, relievers and offense had contributed to the winning or losing a game. To figure that out I started to keep a database of Win Probability Added (WPA) scores for each facet of the team, in each game played.

The table below shows: (e.g. Starting Pitching column)

More Credit for Win = the number of games that Pirates' starting pitchers contributed the highest WPA score in a Pirates' victory.
Most Blame for Loss = the number of games that Pirates' starting pitchers have allowed the most negative WPA in a Pirates' loss.
Positive / Negative Contribution = the total number games in which starting pitchers posted positive or negative WPA scores.

Wpaw16_medium

The bullpen has posted the highest WPA score in 16 of the 57 wins. In other words, they deserve the most credit in 28 percent of the Pirates victories. Conversely, the bullpen has had the highest negative WPA in only four of the Pirates losses.

Overall, the bullpen has posted a positive WPA, i.e. contributed to winning, in 68 or the Pirates' 96 games (only 95 games are recorded because of Francisco Liriano's complete game).

The Pirates' offense has contributed to winning in slightly more than half the games played, 51 of 96 (54 percent); and has been most responsible in 72 percent of the Bucs' losses.

The Pirates starting pitchers have posted positive WPA scores in 56 percent of the games played.

* The table below shows the number of times that all three facets of the team contributed positive (Team Wins) and negative (Team losses) WPA scores.

Wpateamw16_medium

Finally, the graph below shows the linear trendlines for each facet of the team. The starting pitching has been trending upwards (contributing more to winning) since about game 16; the bullpen has held relatively steady in terms of positive contributions; and the offense is moving in a negative direction.

Wpaw16trend_medium

(Win Probability Added Explained:)

Basically, WPA calculates how much each event in a baseball game adds or subtracts to the probability of winning the game. It then credits the change in probability to the players involved. It is a great storytelling stat, but has very little predictive value. Here is an example of how WPA works taken directly from Fangraphs.com:

In game 4 of the 2007 World Series, the Win Expectancy for the Rockies started out at 50 percent. When Jacoby Ellsbury doubled off Aaron Cook in the very first at-bat in the game, the Rockies WE declined to 44.2%. The difference or WPA was .058 wins (5.8 percent). Ellsbury was credited +.058 wins and Aaron Cook credited with -.058 wins.

WPA is scaled from .5 to -.5. At the start of the game each team has a 50 percent chance of winning, so WPA is 0. At the end of each game, the winning team will have an aggregate .5 WPA spread across its players, and the losing team a -.5.

Pirates' bullpen "shutting them down"

If you've followed the Pirates closely this year it likely comes as no surprise to see that Pirates' relievers have contributed positive WPA scores in 68 games this season. The bullpen truly has been the backbone of this team.

In order to further appreciate the work that Pirates' relievers have done this year I looked at the bullpen's performance through the lens of two relatively new statistics developed by Fangraphs.com: "Shutdowns" / "Meltdowns."

Shutdowns (SD) and Meltdowns (MD) were first introduced by Fangraphs.com in May 2010 as substitutes for the flawed "Saves" and "Holds" metrics. SD and MD are based off of WPA (Win Probability Added), which I described above. The Shutdown and Meltdown metrics utilize WPA in the following way: (copied from Fangraphs)

"A Shutdown is when a reliever accumulates greater than or equal to 0.06 WPA in any individual game.

A Meltdown is when a reliever's WPA is less than or equal to -0.06 in any individual game."

In other words, a Shutdown is defined as when a reliever adds six percent to the probability of his team winning. A meltdown is defined as a reliever costing his team a six percent chance of winning.

Shutdown Efficiency:

In order to get a sense of how effective the Pirates bullpen has been I calculated what I am calling the "Shutdown Efficiency" of each team in the Fangraphs database. Shutdown efficiency is simply the number of shutdowns divided by meltdowns.

SD and MD have been calculated since 1974. The median ratio of shutdowns divided by meltdowns is 1.45 ('08 Rockies). The average ratio is 1.49. The worst full-season ratio belongs to the 1975 Angels (.583), and the best was posted by 1990 A's (3.22).

As of July 22, 2013, the 2013 Pirates have a SD/MD ratio of 2.97 (104 SD / 35 MD). At their current pace, the '13 Pirates would end the season ranked fifth best out of the 1110 bullpens in the database.

Interestingly, on July 21, 2012, the Pirates' bullpen was in a fairly similar situation. At that point in the season they had accumulated 92 shutdowns and 32 meltdowns, for a 2.88 ratio. After the late season collapse, the 2012 bullpen ended the season with 129 shutdowns, 63 meltdowns and a 2.04 ratio.

Here is a list of the historical top ten bullpens by shutdown efficiency:

Sdmd2013_medium

Here is the shutdown efficiency for each Pirates reliever:

Piratessdmd_medium

Here is the MLB shutdown efficiency leaderboard:

Bestsdratioplayer_medium

Melancon and Grilli have combined for a stunning 49 shutdowns, only 4 meltdowns, 12.2 ratio.

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That's it for this week's update. I'll try to post another one next before covering the team again at PNC Park for the series with the Cardinals.

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