Archive for Outside the Box

BABIP and Innings Pitched (Plus, Explaining Popups)

In my last post on explaining pitchers’ BABIPs by way of their batted ball rates, I was very careful to say that it was applicable in the long run, as it’s hard to be accurate over a short number of innings pitched, due to all the “noise” in BABIP (Batting Average on Balls In Play).  I only used pitchers with a qualifying number of innings pitched (IP) in the calculations, for that reason.  After writing the post, I did some messing around with the data, to find out just how much of an effect IP had on the predictability of BABIP.

Hold on to your propeller beanies, fellow stat geeks: the correlation between xBABIP and BABIP went from 0.805 when the minimum IP was set to 1500, to 0.632 at a 200 IP minimum, down to 0.518 at 50 IP.  OK, maybe it’s not that surprising.  Still, I thought I’d better show you how confident you can be in my xBABIP formula’s accuracy when you take the pitcher’s innings pitched into account.

The formula, again: xBABIP = 0.4*LD% – 0.6*FB%*IFFB% + 0.235

And remember, that formula is primarily meant to be a backwards-looking estimator of “true,” defense-neutral BABIP.  My next article will (probably) discuss another formula I’ve come up with that’s more forward-looking.

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Projecting BABIP Using Batted Ball Data

Hi everybody, this is my first post here. Today, I’ll be sharing some of my BABIP research with you. There will probably be several more in the near future.

Now, I don’t know about you, but Voros McCracken’s famous thesis stating that pitchers have practically no control over their batting average on balls in play (BABIP) always seemed counterintuitive to me, ever since I heard it about 10 years ago. Basically, my thought this whole time was that if an Average Joe were pitching to an MLB lineup, the hitters would rarely be fooled by the pitches, and would be crushing most of them, making it very tough on the fielders. Think Home Run Derby (only with a lot more walks). Now, the worst MLB pitcher is a lot closer in ability to the best pitcher than he is to an Average Joe, but there still must be a spectrum amongst MLB pitchers relating to their BABIP, I figured. After crunching some numbers, I have to say that intuition hasn’t completely failed me.

This is going to be a long article, so if you want the main point right here, right now, it’s this: in the long run, about 40% or more of the difference in pitchers’ BABIPs can be explained by two factors that are independent of their team’s defense: how often batters hit infield fly balls and line drives off of them. It is more difficult to predict on a yearly basis, where I can only say that those factors can predict over 22% of the difference. Line drive rates are fairly inconsistent, but pop fly rates are among the more predictable pitching stats (about as much as K/BB). I’ll explain the formula at the very end of the article.

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Infield Fly Proposal

117 years ago, in response to an epidemic of infielders intentionally dropping popups to attempt double plays instead, the National League adopted the infield fly rule, and with some minor adjustments, the rule has survived to the present. Like many remedies from the 1800s, the intent- protecting the offense from chicanery- was good, but the implementation- calling their batter automatically out- was fraught with problems.

First, and most obviously in light of recent events, even when the defense can’t make the play, the rule intended to protect the offense punishes them by giving the defense the out anyway. Second, any time a fly ball can be intentionally dropped for a good shot at a double play, the offense should be protected from that, but because the play requires calling the batter automatically out, the rule as written can’t be invoked liberally. Third, and related to the second, the umpires have to make a judgment call based on the trajectory of the ball, the position of the fielder, environmental factors, and anything else they consider relevant to determining “ordinary effort”. That leads to late calls and inconsistent application.

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A Cinderella Story?

Searching for and appreciating the “Cinderella” team is a pervasive feature of American sports. Our love of the Cinderella might come from some uniquely American fascination with heroes rising from nothing, or from a basic human desire to recognize and value unexpected outcomes. Whatever the cause, we pay special attention to moments (the Miracle on Ice; the 1966 Texas Western basketball squad; the 1955 Dodgers or 1969 Miracle Mets or 2004 Boston Red Sox) where teams seemingly overachieved or overcame great adversity to come out champions.

Generally, there are three ways of thinking about Cinderellas:
1. A team winning after a long period of failure.
2. An objectively untalented team winning despite their flaws.
3. A team succeeding despite having the odds stacked against them, such as a talented team overcoming objectively more talented opponents.

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Plugging the Cardinals’ Shortstop Hole

It’s been nine months since the trade that brought Ryan Theriot to St. Louis, and the shortstop picture for the Cardinals is no clearer today than it was then. With their playoff hopes all but officially extinct, the prospect of another offseason spent looking for up-the-middle help looms large.

The trio of players who have garnered playing time at short for the Cards this season have been unimpressive, producing a combined 0.4 WAR in approximately a season’s worth of plate appearances. Theriot is an obvious non-tender candidate, while newly acquired Rafael Furcal will almost certainly have his $12 million option declined and become a free agent at the end of the season. This leaves the Cards with only Tyler Greene as an internal option, and the free agent market for shortstops is about as thin (the obvious exception being Jose Reyes, who the Cardinals have almost no hope of signing if they expect to keep Chris Carpenter and/or Albert Pujols). While the Cardinals will likely either give Greene a shot to hold down the job, or pick up another bargain during the free agency period, I’d like to propose that the Cardinals consider a radical alternative that could provide the team with a definitive edge: Albert Pujols.

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Do Teams Get Dragged Down by Jet Lag?

This article was originally published on WahooBlues.com.

No one likes to travel. Vacations are great and changes of scenery can be nice, but that doesn’t make the cramped bus trip or the bumpy plane ride any more pleasant. The destination may be worth it, but when was the last time you stood up after an hours-long voyage with your good mood still fully intact?

This sentiment is shared even by multimillionaires who make their livings playing a children game and are cheered by thousands of adoring fans every time they go to the office. In baseball, “getaway day” is dreaded, and while jet lag alone wouldn’t make the Indians fall to the White Sox (who’d’ve thought that would be a good example this year?), a team that just got in after a long flight is seen as being at a real, if relatively small, disadvantage at the start of a series.

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How Much Does Payroll Matter?

This article was originally published on WahooBlues.com.

Everyone knows that money matters in baseball. I’m a Cleveland fan, so you don’t need to convince me that my small-market Indians are at an unfair disadvantage when competing against teams like the Yankees and the Bank of Steinbrenner (in the immortal words of Ken Tremendous, “It’s like Scrooge McDuck’s gold coin-filled pool”). There’s no question that franchises with the financial flexibility to retain their stars, import new ones, and remain contenders even when their well-paid players bust have a leg-up from the get-go.

But we all know that money isn’t everything. Omar Minaya and the New York Mets gave us a years-long crash course in what happens large payrolls are spent poorly. Meanwhile, plenty of underfunded teams have had success, including last year’s Rangers and the Rays of both 2008 and 2010. Check my facts on this, but I’m pretty sure one or two low-budget Oakland A’s teams have had some mild success in the past too.

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What If Baseball Playoffs Were Determined By Division Record?

All major league sports division winners gain entry into the playoffs–the difference is HOW those division victors are determined. For example, the NFL places a greater weight on division record, so much so that a 8-8 division winner (like the 2010 Seahawks) is seeded higher than a wild card with a better record (like the 2010 New Orleans Saints). The NBA gives the top three seeds in each conference to the division winners, with winning the division based on overall instead of division record.

I was curious how baseball playoffs would be affected if a team’s division record determined the division winner, and I expected to see a handful of changes. I was VERY surprised with what I saw. Read the rest of this entry »


Can You Quantify Disappointment?

After reading an extremely interesting piece by Jeff Passan on the legendary sabermetrics whiz Voros McCracken I have to admit it had me a bit down in the dumps, and depressed.  How could the man who basically redefined the sabermetric movement not be involved in baseball in some form or fashion?  It doesn’t seem right, or fair, that the man who basically founded and created ‘defence independent pitching’ (or DIPS) statistics wasn’t good enough for the game anymore.

Maybe it affected me more on a personal level and it was gut check time, if ‘Voros’ wasn’t accepted and embraced by the baseball world, what chance in hell did I ever have?  Now is the time for you to snicker, or snidely remark ‘fat chance in the first place’ and, to be honest, I would be saying the exact same things.  But I have a confession, and on some level every fellow ‘baseball nerd’ who writes about the game we love was affected in the same manner – we lost a bit of hope.

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Another Season Gone By Without Realignment

For the first time ever in the divisional era, 1 division has managed to run the table against the other two. Barring the Royals taking 3 of 4 from Tampa over the weekend, there won’t be a single team in the American League who will have put together a winning record against the AL East.

Since 2007, only 8 teams in the American league have been able to put together a winning record against the AL East, (LAA 3 times, OAK twice, TEX, DET and SEA once). This season, as things currently stand, the Central and West divisions have combined to go 149 – 198 (.429%) winning percentage against the AL East, a record comparable to the Cleveland Indians or the Washington Nationals.

What’s worse, is that the AL East will end again with the team that has either the worst, or second worst record in the American League (assuming Buck Showalter doesn’t phone it in this weekend), but looking deeper into their divisional performance, how bad exactly is the AL East’s punching bag?

(Record, Winning Percentage, % Diff from total)
2010 Orioles: Non-AL East Record (39-47*, .453, +.054), 4 games at home v. Detroit left
2009 Orioles: Non-AL East Record (40-50, .444, +.049)
2008 Orioles: Non-AL East Record (46-43, .516, +.095)

AVERAGE % Diff = +.066, or 10.7 Wins

And the 4th place Jays?

2010 Blue Jays: Non-AL East Record (43-43*, .500, -.019), 4 games in Minnesota left
2009 Blue Jays: Non-AL East Record (49-41, .544, +.081)
2008 Blue Jays: Non-AL East Record (49-41, .544, +.013)

AVERAGE % Diff = +.025, or 4 Wins

This means, on average, even the worst that the AL East has to offer, averages almost 5% points higher against non-divisional foes, or roughly 7 wins better across a 162 game season. How much are those 7 wins worth? If you’re Tampa, obviously zero since the only way to fill the ballpark there is to give away 20,000 tickets, but to a team like Seattle or Toronto (as highlighted above), the 2009 Jays managed 75 wins at 23,162 fans a game, whereas the 2008 version of 86 wins averaged 29,626. Obviously its a very rudimentary look at attendance and I’m ignoring plenty of factors, but the fact is and has always been that outside of Tampa Bay, people will inevitably jump on the bandwagons and go to see winning teams win ballgames. The point I’d like to be making here is the financial impact of regional divisional slotting, and if you take the leap with me, obviously the analysis will have a more profound impact.

For comparison purposes, lets look at the AL CENTRAL 4th and 5th place finishers

2010 Kansas City: Non-AL Central Record (36-50*, .418, +.007), 4 games at home v. Tampa left
2009 Kansas City: Non-AL Central Record (33-57, .367, -.034)
2008 Detroit: Non-AL Central Record (47-43*, .522, +.065), 13-5 in interleague games

2010 Cleveland: Non-AL Central Record (33-55, .389, -.039)
2009 Cleveland: Non-AL Central Record (33-55, .389, -.012)
2008 Kansas City: Non-AL Central Record (44-46*, .489, +.025). 13-5 in interleague games

AVERAGE % Diff = .002, or +.4 Wins

The 2008 figures are both skewed in the positive directions due to AL Central success during interleague play, getting to play the even weaker NL West in the majority of their IL games, and zero games against that division’s winner (84-78 Dodgers), so discounting those games, the result is:

AVERAGE % Diff = -.015 or -2.7 Wins

Does the AL East really cost a team 7-10 Wins a season like it has the Orioles? Probably not, there are plenty of other factors that go into a teams eventual W-L, but traditional Strength of Schedule metrics that value the winning % of your opponents, or Runs Scored/Runs Allowed Differentials often don’t capture the simple facts that your record and team stats will be positively influenced by facing the Royals 18 times a season. Who knows, maybe the 2010 Blue Jays, who lead the majors in slugging and home runs, could’ve competed this season in another division where its young pitching staff wasn’t exposed to the three highest scoring teams in the league (NY Boston Tampa) for 54 games? Under this current alignment, we can never be too sure.

On the positive, at least the divisions regionally make sense in their current form, unlike football. I’m sorry, putting Miami in the AFC EAST, Baltimore in the AFC NORTH, and Indianapolis is in the AFC SOUTH makes about as much sense as the BCS national championship formula.