Archive for American League

2015: A Season of Unprecedented Parity In the American League

Background: When the 2015 season ended, I remarked to myself that there seemed to be a great amount of parity in the American League this year. So I decided to see whether it was just my faulty impression, or if it was indeed a closer race this year from years past.

Methodology: I decided to use variance in win percentages among teams in each season to define parity, with a lower variance equating to more parity.

Variance is a measure of the spread of a dataset. It is calculated as follows:
variance equation
where N=population size, mu = population mean, x_i = data entry.

I took my dataset from baseball-reference.com and used Python scripts to modify the raw data into a cleaner .csv format, so that I could run analysis in R.

The 2015 season had the lowest variance (.001836222) in win percentage of any season in the history of the American League (1901-2015).

Here is a time plot of the variances across seasons:
timeplotvariance
On the left, 0 is 2015 and it increases by one season as the graph goes to the right.

Conclusion: 2015 was in fact the season with the most parity all-time in the American League.

The American League season with the worst parity? Go back to 1932, where the Babe Ruth and Lou Gehrig-led Yankees won 107 games and the Boston Red Sox lost 111. (Variance = 0.01710932)


OK, the American League Really IS Sweden

Last month, I wrote about the two leagues, noting that

  1. The American League, perceived as being bad this year, was actually a good deal better than the National League overall, and
  2. The perception of the American League’s weakness was due to a near-record level of parity, with neither great nor bad teams.

Let’s start with the second point. At the time of the post, through games of September 5, the standard deviation of winning percentages among American League clubs was the lowest it has been in the 30-team era. Projected onto a 162-game season, the standard deviation of wins for American League teams was 7.8, barely eking out 2007’s 7.9 as the most egalitarian distribution of wins since 1998.

Since September 5, a .500 record has become a black hole, exerting irresistible gravity throughout the American League galaxy:

  • Of the teams with the six best records in the league on that date–the Royals, Blue Jays, Yankees, Astros, Rangers, and Twins–only Toronto and Texas had a winning record the rest of the season.
  • Baltimore, the sixth-worst team in the league as of the morning of September 6, tied the Jays for the best record in the East thereafter. Boston, then the third-worst team, went 15-12 the rest of the way.
  • Cleveland, four games below .500 at the time, scrambled to finish 81-80.

Overall, parity in the already-equality-loving Junior Circuit increased, by so much that I looked beyond the post-1998 30-team era. I calculated the standard deviation of winning percentages for every league-season since 1901. I then multiplied the standard deviations by 162 to arrive at the standard deviation of wins over a 162-game season. Yes, I know, most of those seasons were shorter than 162 games, but that’s OK; I’m just looking to turn the standard deviation of winning percentages, which is not an intuitive figure (e.g., American League, 1930, 0.1107), into something that is recognizable (17.9 wins). Here are the ten seasons in baseball history with the highest parity, that is, the lowest standard deviation of wins:

The 2015 American League is the most egalitarian, populist, tax the rich/feed the poor, Kumbaya-singing league in baseball history. As I suggested in September, it’s the Sweden of leagues.

(The National League finished 2015 with a standard deviation of 13.1 wins, ranking it 102 out of 230 league-seasons in terms of parity. It was the ninth-most unequal among 36 league-seasons since the expansion to 30 teams in 1998. For Gini coefficient detractors, the most unequal league ever was the 1909 National League, which featured the 110-42 Pirates, 104-49 Cubs, and 92-61 Giants, along with the 55-98 Dodgers, 54-98 Cardinals (Yadi was hurt), and 45-108 Braves.)

Now, as to the other point, the American League’s superiority over the National League despite its group hug ethic, here’s a chart.

Twelve years and running.


The Best of Leagues, the Worst of Leagues

As with every year, there have been storylines that are unique to the 2015 baseball season. The remarkable infusion of young talent to the game. The relevance of the Cubs and Astros after years of being doormats. The disarray in Boston and Detroit. And, of interest here, the general ineptitude of the American League.

Many commentators have bemoaned how weak the American League is this season. You can get a sense of that by just perusing the standings. All data here are as of the start of play on Sunday, September 6.

  • The Red Sox, Mariners, Tigers, White Sox, and A’s–all expected to be good teams this year, picked by many to win their divisions or qualify as wild cards–have the five worst records in the league.
  • Two divisions have only two clubs with winning records, and there are only six teams in the entire league more than a game above .500.
  • In the East, Toronto’s gotten hot, but the team had a losing record as recently as July 28. The Yankees’ two best offensive players are old, one’s hurt, and the other has the second-lowest OPS in the league in over the past 30 days. Nobody else in the division is above .500.
  • The Royals lead the Central with the American League’s best record despite having the fourth worst starting pitcher ERA and FIP along with, this being the Royals, the fewest home runs and walks on offense. The second place Twins have been outscored. Again, nobody else in the division is above .500.
  • The National League West is led by the Astros, a year after losing 92 games and two years after losing 111. Many of the players in their lineup have an on base percentage below .300 with the team. The Rangers are in second after losing their ace pitcher in spring training. The defending divisional champ Angels are treading water, just a game above .500.

Given that, one could argue that at least four of the best teams in baseball this year are in the National League, though one would get a counter-argument emanating along the Missouri/Kansas border. In any case, the Cardinals have the best record in the majors, the Pirates and Cubs third and fourth, the Dodgers tied for fifth, and the Mets eighth. The National League has the best teams, with the best records, making it the best league, right?

Except for one number: 89-73.

That’s roughly equal to the projected won-lost record for the Mets and Astros this year. That’s a good record. It’s good enough to win a soft division, good enough to make the playoffs in almost every year. An 89-73 team is a good ballclub.

But I didn’t list the 89-73 record because of the Mets and Astros. Rather, it has relevance for another reason: 89-73 is the record of American League teams against National League teams this year. Actually, it’s 151-123, but prorated over 162 games, it’s 89-73. The American League, on average, is the Rangers or Nationals playing against the Orioles or Red Sox: A .525 team playing a .475 team. The American League is, overall, clearly the superior league. And this shouldn’t come as a surprise; as Jeff Sullivan pointed out last year, the same occurred in 2014. And it happened in 2013. And 2012. And 2011. And every single year beginning in 2004.

How can that be? How can the top of the American League be unimpressive, the rest of the teams deeply flawed, yet the league is easily beating up on the National League?

There are two reasons. First, the National League may have the best teams, or at least most of them, but it absolutely runs the table on bad teams. The worst record in the majors this year is owned by the Phillies. They’re followed by the Braves. Then the Reds. Then the Marlins. Followed by the Rockies. The A’s are the next-worse, but then we return to the National League, with the Brewers. Six of the seven worst teams in the majors this year are in the National League. Those six teams, cumulatively, are 334-478, a .411 winning percentage, and 38-72 against the American League.

The second reason, closely related to the first, is parity. Yes, the American League doesn’t have the talented teams that the National League claims. But neither does it have the clunkers.When it comes to team performance, the National League is a stars-and-scrubs, penthouse-and-outhouse type of league. The American League is much more egalitarian. The teams with the six worst records in the American League are the A’s, Tigers, Red Sox, White Sox, Mariners, and Orioles. Those are six hugely disappointing teams, but they’re disappointing because they have talent, if underperforming talent. Those six teams, cumulatively, are 376-434, a .465 winning percentage, and 56-54 against the National League. Compare that to the six listed in the last paragraph.

Put this another way: You probably remember the term standard deviation from statistics classes. Without getting into the formulae, the standard deviation is a measure of variance. Given a normal distribution, about two-thirds of values (68.2%, to be precise) fall within one standard deviation of the mean. It’s a more precise term for “plus or minus.” Since 1998, the inaugural seasons of the Tampa Bay Rays and Arizona Diamondbacks, there have been 30 major-league teams. During that time, the average team won/lost percentage is .500 (duh). The standard deviation is .071. Over the course of a 162-game season, then, the average number of victories is 81 games (162 x .5), with a standard deviation of 11.6 games (162 x .071). If there’s a wide variation between teams in a league, its standard deviation will be higher. If there’s parity, it’ll be lower.

I calculated the standard deviations of team winning percentage for every season in each league from 1998 to 2015, giving me 36 league-seasons in total. I multiplied the result by 162 to express it in games. Again, in those 18 years, the average team wins 81 games, plus or minus 11.6. Here are five the seasons with the greatest standard deviations:

       Year   Lg    SD
       2002   AL   17.1
       2001   AL   15.9
       2003   AL   15.8
       1998   NL   14.3
       2004   NL   14.0

The 2001-2003 American League was the most unequal since 1998. The Mariners, with 302 wins in 2001-2003, including 116 in 2001, led the league in wins over the three seasons, which also featured outstanding teams in Oakland (301 wins) and New York (299). On the other side of the coin, Baltimore (288 losses), Tampa Bay (305 losses), and especially Detroit (321) were perennial doormats. This year’s National League, to date, is close to breaking the top five. It has a standard deviation of 13.2 games, which ranks eighth among the 36 league-seasons. It’s been a year of inequality in the Senior Circuit.

At the other extreme, here are the five seasons with the lowest standard deviations:

       Year   Lg    SD
       2015   AL    7.8
       2007   NL    7.9
       2006   NL    8.0
       2000   AL    8.7
       2005   NL    8.8

The 2005-2007 National League had only one team win 100 games (the 2005 Cardinals) and only one lose as many as 96 (the 2006 Cubs). In 2007, every team had between 71 (Giants and Marlins) and 90 (Diamondbacks and Rockies) wins. But that level of parity doesn’t match the 2015 American League so far. This year’s American League is on pace for the most egalitarian distribution of wins and losses in the 30-team era. It’s Sweden to the National League’s Honduras! Or something like that.

So what’re the takeaways? The record level parity in the American League to date has smoothed out the top and bottom of the league, resulting in hardly any notably bad or notably good teams. But that parity shouldn’t be mistaken for weakness. The American League is the better league overall, as evidenced by its clearly superior record in interleague play. The National League may have the best teams, but the American League remains the best league.


Why the Darlings of the AL are Not Ready for a Playoff Push

The 2015 MLB season has been filled with plenty of surprises thus far. The Twins have maintained their hot start, and currently hold the first wildcard spot in the AL. The NL Central has been highly competitive, with three teams in position to make the playoffs should the season end today. The Padres have been a huge disappointment (although I never fully bought into them), and may be sellers at the deadline just seven months after making the biggest splashes of the winter. Sleeper picks Cleveland and Seattle might as well have been asleep the first half of the year, both putting together extremely underwhelming performances and effectively ending their postseason hopes.

But no over- or under-achieving organization quite took the league by storm like the Houston Astros. They began the year hotter than any team in baseball besides St. Louis, finishing May with a record of 32-20 and a four-game lead over the second-place Angels. In their last 43 games, however, it has been a much different story. They have gone 20-23, enduring one seven-game losing streak in June, and they began the second half on a six-game losing streak (also losers of 8 of their last 9). Back in mid May, amidst all the frenzy over the already anointed playoff bound Astros, I began to wonder what was propelling this team to victory. It was clear that although their starting pitching doesn’t blow anyone away with immense velocity or stuff, they had a set of guys who were displaying that they knew how to pitch and could hold their own in a MLB rotation. Here are the splits on the Astros’ starting pitching, using May 31st as the divider.

Months ERA FIP K/9 BB/9 BABIP LOB%
March/April-May 4.08 3.75 6.45 2.46 0.298 70
June-All Star Break 4.03 3.54 8.04 3.13 0.299 70

 

I made sure that only active players on the Astros’ roster were included due to the fact that there are many insignificant players whose numbers would have been included in the splits because of spring training. The ERA and FIP numbers are very similar, as are the BABIP and LOB% stats. The two interesting changes are the increase in strikeouts and the simultaneous increase in walks. Walks lead to runs, and since the Astros have not been great offensively, the more free passes given out the more likely they will be playing from behind in games. While Dallas Keuchel has been extraordinary, and Lance McCullers has been solid as a rookie, their rotation doesn’t seem to have enough to strike fear into opposing team’s hearts (see 1990’s Atlanta Braves).

They do however appear to have a solid bullpen, possessing the 4th best ERA at 2.67 and the 4th best LOB% at 80%. Their recent scuffles have them at an overall record of 49-42, currently a half game back of the Angels. According to the computers, they have a 55.3% chance of making the playoffs in some capacity this year, and are expected to finish with a record of 84-78 — good enough to win a wild card spot. The computer’s calculations aren’t always perfect, so it is safe to say that there is definitely a margin of error here, although I cannot say for certain what that number might be (probably ±3-4 wins). Regardless of what the analysts are saying, I believe they WILL NOT make the postseason. Why? Because history is not on their side.

After a lot of hard work entering in all of the numbers by hand, I finally have created a table that houses several statistics from all playoff teams starting in 1995 when the wild card was introduced. Take a look at these numbers:

 

Name BA ISO K% BB% OBP
2015 Astros 0.240 0.178 24.8 8.2 0.307
1995-2014 Postseason Avg. 0.269 0.163 17.2 9.1 0.340
1995-2014 Postseason Min. 0.238 0.113 12.7 6.3 0.310
1995-2014 Postseason Max. 0.293 0.204 22.6 12.0 0.373

 

If the season were to end today, and the Astros made the playoffs, they would have some heavy outliers among the last 20 years worth of playoff teams. They would have the second lowest batting average, the highest K%, and the lowest OBP. Their ISO is well above average, but the fact that they run such a low OBP means that those extra base hits won’t increase their expected run totals very much; you need guys on base to score runs. Their average walk rate is to be expected based on the lineup they have assembled. They have a lot of what I would call “hackers,” guys who go up and take massive cuts trying to crush the ball — Chris Carter, Evan Gattis, Luis Valbuena, and Colby Rasmus to name a few. The only way this lineup gets worse in the ‘K’ department is if you bring Adam Dunn back from the dead and trade for Mark Reynolds. My point is simple: there has never been such a boom or bust type of team to make the playoffs, at least not one this extreme. Even if they were to acquire a frontline starting pitcher like Johnny Cueto or Cole Hamels, I do not believe that their lineup would be able to support the pitching staff enough to catapult them into the postseason.

Only time will tell what happens with the darlings of the MLB this season. They have a strong core, and a bright future, with many top prospects making their debut this season and even more right on the doorstep. Jeff Luhnow has done an incredible job building this team, and there is no doubt that they will be contenders in the AL West for many years to come. Yet, while they are not the same Astros of recent memory, they are not quite ready to make the postseason. This may not be a bad thing, though. As Yogi Berra once said, “You can observe a lot by watching.”


The Cleveland Indians as a Fringe Playoff Contender

It’s been a disappointing year thus far for the Cleveland Indians. They are currently 42-46 heading into the All-Star Game, and are in 4th place in the competitive American League Central division. They are underperforming their BaseRuns projection by 4 wins, meaning the computers view this team as much more of a playoff threat than they actually have been thus far. Although they have the third-highest remaining projected winning percentage in the AL at .532, their rough first half has them only finishing with about 81 wins. As wide open as the wild card race is, a .500 finish would clearly not be enough. What has happened to everyone’s preseason sleeper team? Besides Sports Illustrated jinxing them of course.

Well as expected, they have had stellar starting pitching from the likes of Corey Kluber, Carlos Carrasco, Trevor Bauer, and Danny Salazar, and even have gotten good outings recently from under the radar prospect Cody Anderson. Everyone knew they had a bad defense, but many thought that the Indians’ offense could support the great starting pitching enough to propel them into the postseason. Thus far, however, that has not been the case. They are at league average or below in almost all offensive categories. They are not a power hitting team by any means, and have the 10th lowest FB% in the MLB, which makes sense seeing as to hit for power you need to get the ball in the air. However, they still run the 7th lowest BABIP in baseball, which insinuates that they have a lot of hitters who tend to roll over a lot. Lo and behold, they are 3rd in Pull %, and have a lefty heavy—heavy being an understatement—lineup.

Essentially, the Indians have amassed a lineup with a bunch of pull-happy hitters who don’t hit for much power, which doesn’t work in a league that nowadays uses the shift religiously. I think all Cleveland fans know where I’m going with this, because the phrase has been overused by Tribe fans for almost a decade now. Yes, Cleveland is lacking an impact right-handed bat. Brewer’s prized prospect Matt LaPorta was supposed to be that guy when the Indians traded C.C. Sabathia for him and others—including player to be named later Michael Brantley. However, his MLB career was as successful as Kim Kardashian’s first marriage. Ironically or not, Milwaukee has another player that I believe can push the Tribe over the hump; his name is Carlos Gomez.

The 29 year old native of the Dominican Republic, known for his fiery personality, has been extremely productive for the Brew Crew since 2011, racking up 18.4 WAR in that 4 year span. With Milwaukee sitting at the halfway point with the second worst record in all of baseball, they will most definitely be sellers at the trade deadline. I recently tweeted FanGraphs’ Jeff Sullivan asking him if Gomez would be dealt, to which he responded, “Gomez is probably moving. Lucroy not.” That doesn’t mean it is set in stone, but that shows that there is a decent chance he gets traded. Let’s just assume for arguments sake that the Indians and Brewers have mutual interest in being trade partners. Why should the Indians’ make the move?

One plus is that Gomez wouldn’t be a rental. He is under contract through 2016, and is only set to make 9 million dollars next year. If you consider 1 WAR to be worth roughly 7 million dollars, Gomez’s average of 6.6 WAR per year the last two seasons would be a huge bargain for the Tribe. With the contracts of David Murphy and Ryan Raburn likely to be coming off the books next year, an extra 9 million dollars on the payroll will be inconsequential for the notoriously conservative Dolan family. Gomez also would provide a major upgrade from primary Tribe center fielder, Michael Bourn. I have included a chart that compares their averages from the last two seasons. Why two seasons? Because that’s when Bourn signed with Cleveland, where he has not been the same player he once was.

Name Avg. WAR Avg. wRC Avg. RISP Avg. DEF Avg. ISO Avg. SLG Total PA
Bourn 1.3 53 0.298 -3.3 0.101 0.360 1,062
Gomez 6.6 93 0.298 17.2 0.208 0.492 1,234

 

It is easy to see who has been the more valuable player. The reason I included ISO and SLG was to demonstrate Gomez’s excellent power, not necessarily to compare it to Bourn’s (because that is not the type of hitter he is). Gomez would provide a major upgrade defensively – where the Indians struggle – and at the plate, where he is a key catalyst in manufacturing runs. Gomez has created almost 40 more runs per season than Bourn the last two years. If you take into account how every 10 runs scored or given up equates to a win or a loss, those extra 40 runs would essentially add on about 4 more wins to the Indians win total (assuming those averages hold up throughout the 2015 season). So that would take the roughly 81 win Indians and make them an 85 win team; better yes, but still not a playoff contender.

Although Bourn and Gomez have been equally as good with RISP, this season has been a different story; Bourn is hitting .216 in 68 PA and Gomez is hitting .381 in 65 PA with RISP. The Indians have the 7th worst average with RISP this season at .230, with the MLB average being .255. For a team that struggles to score runs, this would be a huge difference. Slotting Gomez in the lineup everyday behind a guy like Michael Brantley would also take a ton of pressure off of him to carry the team day in and day out.

So what does this all mean? Could Carlos Gomez really propel the Tribe into October baseball this season? Probably not. Here are their season splits against teams above and below .500.

               Wins Losses Winning Percentage
Teams ≥ .500 24 32 0.429
Teams < .500 18 14 0.563

 

They struggle against good teams, and beat bad ones. That is not the mark of a playoff team. In the last 74 games of the season, the average winning percentage for teams they play is .515. While I fully believe the team could make a strong second half push – I actually believe they will make the playoffs – it is not likely. Still, a trade for Carlos Gomez would not only aid them in the second half of this season, but for next season as well. Clevelanders are sick of hearing “we’re building for the future.” The Indians have an extremely strong core, one that is young and locked into team-friendly contracts. It is time to win now, because they would hate to look back years from now like a reminiscent ex-lover and say, “That was the team that got away.”