On August 19, after a brutal 8-1 loss to the San Francisco Giants, the New York Mets, defending champions of the National League, were 60-62. Their playoff odds were 6.7%, per Fangraphs. 6.7%! It wasn’t quite the home stretch to the 2016 season the Mets had visualized when they entered the year looking to defend their pennant and complete the path to redemption in the World Series. When they re-signed Yoenis Cespedes on January 26, they looked poised to do it, with a rotation that was being hailed as potentially one of the greatest of all time, and a mostly-intact offense from last season’s number one NL offensive team in the second half. Baseball wouldn’t have it that way.
Fresh off of his 2015 National League MVP season, including a league leading 9.9 WAR, Bryce Harper is one of the most exciting and talented young players in baseball. At the tender age of 23, Harper’s best years likely lie ahead of him, though his contract with the Washington Nationals will keep him off the free agent market until after the 2018 season. With 2016 right around the corner, and considering the outfielder’s potential, it’s certainly not too early to start conjecturing about the possibilities that surround his future and, perhaps, the first $400 million contract in professional sports.
The New York Mets are coming off of a very pleasantly surprising season in 2015, making a thrilling run to the World Series after not previously making the playoffs since 2006. They also have plenty of cause for optimism in the future, with a young and still improving pitching rotation that could already be considered the best in baseball. However, some of the moves (and non-moves) they’ve made this offseason have the fanbase scratching their heads and even calling for the owners to sell the team. Why?
It’s been quite a week for both the New York Mets and Washington Nationals, though the two teams have seen very different results. The Mets, currently riding a five-game win streak that included a sweep of the Nats, are back in first place in the National League East for the first time since early June, despite the returns for the Nationals of injured starters Ryan Zimmerman and Jayson Werth. Many factors allowed the Mets to sweep the Nats this weekend, including their fireballing young trio of Matt Harvey, Jacob deGrom, and Noah Syndergaard, the overall – and sudden – ineptitude of the Nats’ offense (see figure below, courtesy of ESPN, for an overview), the addition of two-time Home Run Derby champion and 4.2 WAR outfielder Yoenis Cespedes to a suddenly-deep Mets lineup, and the magma-hot bat of Mets first baseman Lucas Duda, who had an incredible run that saw nine home runs hit in an eight-game span, and was awarded co-National League Player of the Week for his efforts.
According to the Sports Industry and Fitness Association, during 2008-2013, baseball participation rates declined by 2.3 million, or 14.5%. Similar data has been reported by Little League baseball, which claims that participation fell 6.8% from 2008-2012. These reports do not bode well for the future of America’s pastime or any other baseball-related business. In recent years, various theories have emerged for why kids are not grabbing their mitts and heading off to baseball diamonds. Currently, Major League Baseball is studying methods for speeding up the game to foster more quickly-paced games. However, there are a multitude of diverse, comprehensive reasons for baseball’s slide which are not being fully addressed.
The managers of MLB seem to have it down to an art.
- 1st: Speedy guy who can steal bases.
- 2nd: Guy who can drop a bunt or draw a walk.
- 3rd: Your best pure hitter.
- 4th: Cleanup man; your best power hitter.
- 5th: Complete the “heart” of the order; a good power hitter.
- 6th-8th: Your remaining position players, in descending order of quality.
- 9th (NL): Your pitcher.
Unfortunately, the conventional batting order is nothing but tradition, and no one ever seems to question this idea that’s been around for more than a century. Have you considered that this isn’t actually the optimal lineup to win more baseball games (score as many runs as possible)? Many sabermetric studies have looked to find the truly optimal batting order, based mostly on the two most important hitting stats: OBP (on-base percentage) and SLG (slugging percentage). Both of these stats, based on regression modeling, have much higher correlations to runs scored than BA (batting average), which is conventionally the main statistic used to measure the quality of a hitter – once again, an archaic tradition that the game of baseball has unfortunately been resistant to changing. A higher correlation, in non-statistical terms, means that a team that has a higher OBP or SLG will most likely have more wins over the course of a season than a team that just has a higher BA.
The leveraged out
Back to the batting order – studies have striven to find many different tidbits about lineups that would lead to optimization. One method, as written by Sky Kalkman in Beyond the Box Score, is the importance of avoiding outs for each player in the lineup. Basically, over the course of a season, which spots in the lineup are most crucial to winning in terms of OBP? Which spot’s OBP has the biggest effect on a team’s 162-game success? Here’s a section from his study:
“Another way to look at things is to order the batting slots by the leveraged value of the out. In plain English (sort of), we want to know how costly making an out is by each lineup position, based on the base-out situations they most often find themselves in, and then weighted by how often each lineup spot comes to the plate. Here’s how the lineup spots rank in the importance of avoiding outs: #1, #4, #2, #5, #3, #6, #7, #8, #9”
According to Kalkman’s study, you should put your hitters in the specified order, based on descending value of OBP. Because the first batter’s OBP has the greatest effect on your team’s total runs, then fourth, then second, etc., ordering your lineup in such a way would be a big step up from just generalizing and using traditional methods. To explain the concept further, and to show one way in which managers have failed to give their teams the best chance to win, Bill Petti of FanGraphs developed the following heat map graphic (darker green meaning higher OBP, and darker red meaning lower OBP):
Clearly, for the majority of the past forty years, managers have been putting the player with the greatest ability to get on base in the spot that ranks fifth in importance, in terms of OBP. Vice versa, in the most important spot for a high OBP, managers have tended to, on average, put their third or fourth best player at getting on base. As a baseball fan, facts like this truly disappoint me. And although the leveraged out is one way of optimizing a lineup, there are additional important studies to consider when crafting your most successful lineup – which MLB managers also seem to ignore.
Lesson: bat your highest OBP player first, while generally following Kalkman’s list the rest of the way, in order to avoid more costly outs over the course of the season.
The most important thing to do on offense in baseball is to score runs. So why not continue to optimize our lineup to allow us the best chance of scoring the most runs? TangoTiger has developed a run expectancy matrix – predicting the number of runs scored in each of 24 possible situations based on the occupancy of the bases and the number of outs. The data was taken over a span of (coincidentally) 24 years. What did it find?
The matrix has an x-axis of the number of outs, and a y-axis of the baserunner setup. Each of the decimal numbers represents the expected number of runs scored from that point on in the inning. For example, with the bases empty and nobody out, there is a base run expectancy of .477. What does this matrix tell us? For one, it shows that, in general, sacrifice bunts – a conventional-wisdom baseball tactic – are generally not smart. A man on first with no one out gives you a higher run expectancy than a man on second with one out, and so on. There are other similarly interesting facts hidden in the matrix as well, but we want to see how it affects our optimal batting order.
According to Keith Law at ESPN, we can consider the number of plate appearances each lineup spot receives, as well as the frequency with which each lineup spot gets each base-out situation (vertex in the matrix) to actually discern which spots in the lineup have the most value in terms of run-scoring over the course of the season. In other words, we are looking for the spot in the lineup that has the potential to produce the most runs by performing well. Which lineup spot is that? The research doesn’t say third, but second – the spot that as recently as 2012 was given to each team’s sixth best player at not getting out according to the aforementioned heat map graphic. How can so many teams be willing to hurt their chances of winning by not looking at the facts?
Lesson: bat your best overall hitter – perhaps the one with the highest OPS (OBP plus SLG) or SLG – second in order to drive in more runs over the course of a season.
The myth of the stolen base
One of the most well-known lineup rules is that the top spot in the order (and many times the second spot as well) belongs to speedsters who can steal bases and make things happen on the base paths. However, managers never actually consider when stolen bases are most valuable.
Consider this simple thought experiment – why do players with the ability to advance bases on their own bat directly in front of the team’s most skilled hitters? If your base-stealer gets on base right before your guys who can produce extra-base hits most often, is he getting his full value? A home run from your best power hitter will knock in baserunners no matter which base they’re on, while a single from a less polished hitter won’t get you a run unless there are baserunners in scoring position. The weaker batters toward the end of the lineup are actually the ones that need help driving in runs.
Here’s just one example – Dodgers shortstop Dee Gordon currently leads MLB with 46 stolen bases, and manager Don Mattingly therefore bats him leadoff. But he’s probably not the right choice for that spot, as he’s oscillated between 3rd, 4th, and 5th in OBP among the team’s starters this season (we learned earlier that your best player at getting on base should lead off). Additionally, the players that follow him in the lineup – usually Yasiel Puig, Adrian Gonzalez, and Hanley Ramirez – sport the three best slugging percentages on the Dodgers! Clearly, that trio has the ability to produce extra base hits and knock Gordon in themselves, without him risking an out for second base – a tradeoff that the run expectancy matrix has already told us is fruitless. The most common 7th and 8th batters on the Dodgers, Juan Uribe and A.J. Ellis, have the 7th and 20th highest SLG, respectively, on the team, and Ellis is followed in the lineup by the pitcher, likely the team’s worst hitter. Don Mattingly would probably cringe if he knew how many runs his shortstop could have scored on singles from Uribe and Ellis, runs that were never scored, and how many times his shortstop risked an out (or actually got out) stealing second or third, only to be driven in by a Puig or Gonzalez bomb. Hopefully soon, data will surface that will actually show managers like Mattingly exactly how many runs they’ve given up this way
Lesson: in the 5th-6th-7th area of the lineup, bat competent base stealers who can give your weaker hitters opportunities to drive in runs.
So, let’s revisit the batting order and see how managers could actually be pulling their weight in the W/L column.
- 1st: Your player who’s best at not getting out – a high OBP means more reaching base and more run scoring. Speed is an advantage, but a slow player that can draw walks is better than a recklessly swinging burner.
- 2nd: Your player with the best ability to drive in runs – weighted situations say that putting your best OPS/SLG batter in this slot will lead to the most total runs for a team over the course of the season.
- 3rd: One of your middle-of-the-pack hitters – not only is this slot fifth out of nine in terms of most important OBP, but it’s second only to the leadoff spot in terms of plate appearances with the bases empty. The spot conventionally reserved for one of your best RBI guys will have few chances to actually get them!
- 4th: After your best base-reacher and best overall slugger, your third best hitter should bat cleanup, where reaching base will be very valuable and a high slugging percentage will still provide ample opportunity to drive in baserunners.
- 5th-9th: Starting with middle-of-the-pack guys that are comparable to your number three hitter, put the rest of your hitters in descending order of quality, as those lower in the lineup will receive fewer plate appearances over time and therefore hurt the team effort less. Put players with the ability to steal bases in the earlier slots here to maximize run-scoring potential.
There is much more work to be done – and much work currently being done – in terms of creating the perfect batting order. However, there is already much concrete statistical evidence, including leveraged outs, run expectancy, base-out situations, and run-scoring potential, that show that the lineup makers are truly failing both their teams and their fans by not providing better strategies by which to win baseball games. Now, the matter becomes when the league will open its eyes.
by Derek Reifer, Northwestern University
It has been said recently that the NBA has never been stronger than it is right now, and it really is true. The NBA is all over the sports news, currently dominating the news cycle on ESPN, getting more airtime than America’s pastime, the MLB. Franchise values are skyrocketing and the league recently turned down a prospective owner who wanted to pay a billion dollars for the Kings, over $300 million more than they was valued at before the bidding war began. The league has two extremely marketable superstars in Kevin Durant and LeBron James, who by all accounts are not only phenomenal basketball players, but also good citizens.
The NBA is an interesting test case because of the idea of parity in sports. With the NBA, you can pick 8 teams at the beginning of the season and you will have a 90% chance of getting the correct champion. Don’t believe me? Check this out.