Another look at the 2012 Pirates Jekyll-and-Hyde offense

Charles LeClaire-US PRESSWIRE

A comparative look at the Pirates' offensive variability.

The roller-coaster ride that was Pittsburgh Pirates' offense in 2012 remains one of the defining narratives of last season's campaign. The dramatic and abrupt changes in offensive productivity were unlike anything I can remember witnessing from a team that I've followed closely. Over the course of a long season, all teams go through hot and cold stretches, but the extreme nature of the Pirates' streaks were jarring. To refresh our memories, let's quickly look at the three unique manifestations of the Pirates offense in 2012:

From April 6 to May 23 the Pirates offense was, well, historically offensive. Over the first 44 games of the season they posted a .217/.266/.346 slash line and averaged a paltry 2.86 R/G. Thanks to a pitching staff that limited opponents to 3.63 R/G and a good dose of luck in close games (Baseballreference.com calculated the Pirates' "Luck" score at 4 during this stretch, highest in the National League), the Pirates kept their heads above water and rode out the slump to a respectable 20-24 record.

Starting on May 25 the mid-season offensive resurgence began. Over the next 66 games, the Pirates posted a .267/.328/.451 slash line and averaged 5.0 R/G. That works out to increases of .050 in batting average, .062 in OBP, .105 in SLG and 2.14 R/G. By August 8 the Pirates had reached what would be the high-water mark of the season, as their record stood at 63-47 and they had won 43 of their last 66 games.

We all know what happened next: The Collapse. From August 9 to the end of the season. the Pirates offense leveled out, hitting .233/.303/.364 and scoring 3.75 R/G. They lost 36 of their final 52 games.

When all was said and done, the Pirates finished the season with a pedestrian .699 OPS, No. 11 in the National League. Indeed, the offense ended up posting numbers that were largely in-line with preseason expectations. There was nothing terribly exceptional about the offense other than its Jekyll-and-Hyde nature.

Recently I became curious whether any other teams in the National League had experienced similar wild swings in offensive production last season. To find out I put together this little study.

What I Did

1. Computed the 10-game moving average of each National League team's OPS. That simply means I calculated the OPS for each team in games 1-10, 2-11, 3-12 and so on.

2. Calculated each team's deviation from their season-ending OPS for each 10-game span, so 152 data points.

3. Added the deviations and divided by 152 to get an average 10-game deviation. The higher the deviation, the more volatile a team's offense in 2012.

4. Repeated the same process for each team's pitching staff, using OPS against.

Offensive 10-Game Variability

In the table below are the average 10-game deviations in OPS for each National League team. So, the .0695 number for the Dodgers means that, on average, their OPS was .0695 above or below their season average in each 10-game stretch.

Surprisingly, the Pirates ended up with only the fourth-highest average variance. I did not expect this. The Phillies and the Cubs had the most consistent offenses. I also included age, slugging percentage and wins to see if there was any relationship between these variables and volatility. There does not seem to be any relationship.

Off_variability_medium

Off_variability_graph_medium

Pitching 10-Game Variability

No surprise here -- the Pirates' pitching was fairly consistent all season. They came in well below league average in terms of variability.

Pitch_variability_medium

Pitch_varibility_graph_medium

Pitching + Offensive 10-Game Variability

The Pirates rank No. 6 overall. The World Series champion San Francisco Giants were the most consistent team in the National League.

Pitch_off_variability_medium

Pitch_off_graph_medium

Visualizing the Hot and Cold Steaks: Offense

I also wanted to visualize the length and intensity of each team's hot and cold streaks. In the tables below, the X-axis is the team's overall OPS. Each line represents the difference in OPS over each 10-game sample.

The Pirates' OPS in 2012 was .699. This graph clearly shows the volatile nature of the offense during the first 90-plus games. Indeed, their average deviation from .699 over that period was a rather-remarkable .093.

Pirates_off_medium

Here is the league's most volatile offense, the Los Angeles Dodgers (OPS .690). It is interesting to note that for the first 110 so data points the Dodgers' bar graph looks almost exactly like an upside-down version of the Pirates'.

Dodgers_off_medium

And the league's most consistent offense, the Chicago Cubs (OPS .680).

Cub_off_medium

Finally, a league-average offense in terms of variability, the Houston Astros (OPS .673)

Astros_offense_medium

Visualizing the Hot and Cold Steaks: Pitching

The Pirates OPS-against in 2012 was .703. If you look at the Pirates' offensive and pitching tables you can see The Collapse pretty clearly. For the last third of the season the pitching went through its longest cold streak (that's where the graph is actually above the line, since the OPS-against is higher) and the offense went through another slump.

Pirates_pitch_medium

Here is the graph for the league's most volatile pitching staff, the St. Louis Cardinals (OPS .700)

Cardinals_pitch_medium

And the league's most consistent pitching staff, the Cincinnati Reds (OPS .695)

Red_pitch_medium

A league average pitching staff in terms of variability, the Atlanta Braves (.684)

Braves_medium


Conclusion

The explanation for why some teams experience dramatic variability and others do not eludes me. Looking ahead, it would be interesting to see if there is some variable that correlates with high/low-variability. However, my guess is that it's just random.

What is clear, however, is that performance variability (or the lack thereof) is always an important storyline when describing a team's season. The defining meta-narrative of the Pirates' 2012 campaign is the bottoming out of the Pirates offense in the first two months; its dramatic resurgence in the middle months; and then its leveling back out.

Consider following me on Twitter @DavidManel and BucsDugout.com @Bucsdugout

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