
All credit for this
article goes to Michael Lewis, author of Money Ball.
Money Ball by Michael Lewis: A Book Review by Henry I.
Langsam
What is Money Ball
Really About?
One
of my fondest childhood memories includes going downstairs to the kitchen on a Sunday
morning during the summer and looking at the baseball statistics for the week
in the sports section of the Inquirer. What great truths would be revealed?
Which member of the Phillies had the highest batting average? Which Phillies
pitcher had the lowest earned run average? Which Phillies player drove in the
most runs? Who had the most stolen bases? I drank in those numbers trying to
find insight into the Phillies, confident that those statistics told me all the
important things about baseball. During my youth, the Phillies were not winning
that many games. So I, like many other Phillies’ fans, had to take solace from
those baseball players from
In
1964, the Phillies led by Jim Bunning and Chris Short on the mound and Johnny
Callison in the field were the dominant National League East team for most of
the season. However, they managed to lose 10 of 11 of their last games leaving
the Phillies one game shy of the playoffs. It was heartbreaking! I could not
follow the Phillies after that with the same seriousness and intensity as
before. It was like someone choked me near death.
In
all fairness, the Phillies have given some great thrills. Mike Schmidt, Larry
Bowa, Steve Carlton, Garry Maddox, Pete Rose, Lenny Dykstra, John Kruk and
Darren Daulton: all leaders of various teams that were very successful in
postseason play. But baseball was never the same for me after the 1964
Phillies. So I stopped studying baseball and held my distance as a passive,
occasional observer.
This
summer of 2003, a friend, Richard McBrien, lent me a book at the beach that he
thought I would enjoy: Money Ball. The
Art of Winning an Unfair Game by Michael Lewis. I had read Michael Lewis
once before: his best seller Liar’s Poker.
Liar’s Poker was the inside scoop of
life and work at a Wall Street investment house. Though a pretty good read, it
was not off the charts. Money Ball
was a whole “nother” story!
Though
Money Ball is ostensibly about Major
League Baseball, it is really a book about business and life. Its message is
useful for all of us, not just baseball fans. Look at business and life as it
really is, not as you wish it would be, not as you think it should be, not as
the experts say it is, not as conventional wisdom says it is, and definitely
not as you wish it would be. It is not always easy to uncover or face reality,
particularly if you are steeped in custom and are influenced by so-called
outside experts.
Money Ball arose from the
following question: "how did one of the poorest teams in baseball, the
Oakland Athletics, win so many games during the 2000-2002 seasons?" The
gap between the rich and the poor baseball teams was huge in 2002: the New York
Yankees had a payroll of $126 million dollars while the
An
independent financial authority on baseball pointed out that the least one team
could spend on a 25 man roster was about $5 million dollars plus another $2
million for players on the disabled list and the remainder of the 40 man
roster. He further stated that there is a huge factor of luck in any baseball
game and there is a relatively small differential in ability between most major
leaguers. That means that the fewest games a minimum wage baseball team would
win during a 162 game season is 49 wins. This baseball pundit measures the
financial worth of a team by asking how many dollars over the minimum $7
million does each team pay for each win over its 49th win. How many marginal
dollars does a team spend for each marginal victory? From 2000 through 2002,
the Athletics paid about $500,000.00 per win. Rich franchises such as the
Baltimore Orioles and the Texas Rangers paid about $3,000,000.00 for each win,
more than six times what
The
Billy
Beane, son of a Naval officer, grew up in a small rural
The
Greek chorus of conventional wisdom, the baseball scouts have a checklist to
analyze talent. They looked at a players ability to run, throw, field, hit, and
hit with power. Billy had talent. He was fast, could throw, hit .500, hit with
power, and could field. Billy was considered by the Mets’ scouts as a premium
prospect. He had the whole package: talented at other sports, athletic, good
grades and he was going with all the prettiest girls.
Though
inspected by scouts like a prized heifer, Billy had other ideas about his life
and playing pro ball. He wanted to attend
Prospecting
for Talent
Lewis
takes the reader into the "draft drama." The 2001 draft had been an
expensive disaster for the A’s. The top players that the scouts and management
had decided to draft were all gone before the A’s got to pick. The A’s had
picked a 95 m.p.h. high school fastball pitcher. High Schoolers had young, fast
arms and could deliver fastball velocity. But the most important quality in a
pitcher is not brute strength but the ability to deceive. So, high school pitchers
are twice less likely than college pitchers and four times less likely than
college position players to make it to the big leagues. This pick was the
result of listening to a scout. In 2002, Billy Beane was not going to listen to
his scouts. Picking a high school pitcher defied the odds and defied reason.
Beane was intent on bringing reason and science to baseball. Beane understood
that the science of building a solid baseball team was at odds with what the
conventional wisdom and it was a constant struggle for him not to adopt
conventional wisdom in his organization. The A’s scouting department was the
component of Beane’s organization that most resembled the rest of baseball and
Beane understood that meant it probably had to change. If you look at the draft
realistically, each team selects about 50 players and only two make it to the
big leagues. What other business would accept that level of success. Billy felt
that scouting in modern baseball was the rough equivalent of professional
medicine in the 18th Century. Beane shifted from depending on his
scouts to using his general manager’s Paul DePodesta’s computer to look at the
statistics of amateur athletes. Paul was moving from totally out of to the of the A’s draft room. Paul, a Havard
economics graduate and mathematician and scientist, could see the statistical
trends that eluded the professional baseball scout: first, there was a tendency
of the scouts to generalize from their own experience when there was no reality
correlation. Secondly, scouts tended to be overly influenced by recent
performance, but what a player did last was not necessarily what he would do
next. Third, there was a bias towards what people saw with their own eyes or
thought they saw. There is a lot you could not see when you watched a baseball
game and you could not see a prospective talent over the course of a season so
a scout’s snapshot was only a thin slice of viewing. The scouting department
had ignored Paul’s prodding to scout players his computer flushed out. It was traditional
for the general manager to give his scouting staff the authority to scout and
select ball players on their own. But Billy could not give a hoot about
tradition.
The
2002 amateur draft was the future of the
In
evaluating a catcher from the
Billy
Beane considered doing away with his scouting department entirely in favor of
Paul DePodesta’s computer. There is a thick distinction between conventional
wisdom and a statistical analysis. The wisdom of the scouts was that in
evaluating a prospect, it did not matter what he had done. It was what the
prospect was capable of doing in the future. For Billy and Paul, a young player
is not what he looks like or what he might become but only what he has done.
Also Billy was saying do not be victimized by what you see in the ball player;
look at the statistical reality. Jeremy Brown to Baseball America’s list of Top 25 Amateur Catchers which meant that
the scouts who helped create that periodical believed that he never should be a
pro baseball player but for the A’s, and their statistically based analysis, he
was a first round pick.
Sandy
Alderson: Beane’s Statistical Godfather
Billy
Beane’s godfather of quantitative baseball was
For
Alderson, his re-examination of the premises of professional baseball wound up
being largely academic. Alderson had no baseball background and therefore had
no creditability. The team was managed by Tony La Russa who had done well using
conventional wisdom and overpaying for him. So why fix something if it was not
broken? Also, the ego of certain baseball team owners was such that they would
lose millions of dollars to field a competitive baseball team. New owners came
into
1. Every batter needs to behave like a
lead-off man, and adopt as his main goal getting on-base.
2. Every batter should also possess the
power to hit home runs, in part because home run power force opposing pitchers
to pitch more cautiously, and lead to walks, and high on-base percentages.
3. To anyone with natural gifts to become a
professional baseball player, hitting was less a physical than a mental skill.
Or, at any rate, the aspects of hitting that could be taught were mental.
Alderson
was seeking to create a new corporate culture in his baseball program. In his
view, scoring runs was less of an art than a "process." He theorized that
if you made the process routine and got every player doing his part on
production, you could pay a lot less for runs than the going rate. The central
point of Alderson’s program was the "system" was the star, not the
individual player. The most important thing in the system was the willingness
of a player to take a base-on-balls. As a result of the implementation, more or
less overnight, all the A’s minor league teams began to lead their respective
leagues in walks. Alderson studied the "walk" statistic carefully and
would complain to his managers if they failed to honor the system. However,
Alderson did not march into Tony La Russa’s office and tell him to get his
walks up. Alderson had never played in the big leagues and therefore lacked the
confidence and power. In what other business did a middle management call the
shots. Tony La Russa was a middle manager. In 1993, Alderson brought Billy into
the front office and told him his job was to go out and find undervalued minor
league players.
Bill
James: The Father of Sabremetrics
Bill
James grew up in
In
1979, in the Third Baseball Abstract,
James wrote:
A hitter should be measured by his success in
that which he is trying to do, and that which he is trying to do is create
runs. It is startling, when you think about it, how much confusion there is
about this. I find it remarkable that in listing offenses, the league will list
first-meaning best-not the team which scored the most runs, but the team with
the highest batting average. It should be obvious that the purpose is not to
compile a high batting average.
He
went on to say that we cannot directly see how many runs a player creates but
we can see how many runs a team creates.
Next,
James set out to build a model to predict how many runs a team would score
given its number of walks, hits, stolen bases, etc. He would test his hypothesis
on how hits affected the runs scored. The first version of his runs created
formula looked like this:
Runs created=(hits+walks) X total
bases/(at-bats+walks)
This
model came far closer, year in and year out, to describing the run totals of
every big league baseball team then anything the teams themselves had come up
with. That implied that professional baseball people had a false view of their
offense. More specifically, professional baseball did not place enough value on
walks and extra base hits. The teams placed too much value on batting average
and stolen bases which James did not even bother to include.
Another
baseball hobbyists began to write about baseball after James, Dick Cramer, a
research scientist for SmithKline Glaxo who had access to a computer. By day,
he used the SmithKline computers to discover drugs and by night he used them to
test his own theories about baseball. Cramer had a hypothesis about clutch
hitting: it did not exist, no matter
what announcers and coaches believed, Major League Baseball players did not do
particularly well or particularly badly in critical situations. This made some
sense because no one who behaved badly under pressure would ever make it to the
big leagues in the first place. Conventional wisdom said certain players were
clutch players. With a slight exception, the validity of Cramer’s thesis was
proven statistically: except that some left handed hitters fared worse against
lefties than righties and some right handed hitters fared worse against righties
than lefties.
Cramer
and another fellow baseball hobbyist, Peter Palmer, an engineer for Raytheon
doing software that supported the radar station in the
Billy
Beane’s 2002 Draft
When
we think of intellectuals, scientists and thinkers, we might consider Albert
Einstein or John Maynard Keynes, however, we surely do not think of baseball
people as intellectuals. Bill James was baseball’s version of the intellectual.
The message Bill James whispered to Billy was: if you challenge conventional
wisdom, you will find ways to do things much better than they are currently
done in baseball. The A’s not only adopted Bill James’ thinking, they built on
it and improved it. The whole point of James was: don’t be an ape! Think for
yourself along rational lines. Hypothesize, test against the evidence, never
accept that a question has been answered as well as it ever will be. Do not
believe a thing is true just because some famous baseball player says that it
is true.
Before
Billy Beane, the baseball field was a field of ignorance. As of June 4, 2002,
the day of that year’s amateur players draft, there were still big questions
about baseball which needed answering:
1. What was the most efficient way to use
relief pitchers;
2. Which part of defense was pitching and
what part was fielding;
3. How important was fielding;
4. No one had solved the problem of fielding
statistics;
5. No one had figured out how to make the
amateur draft more than crap shoot.
However,
Bill James had written in his newsletters persuasively that:
1. College players are better investments
than high school players by a huge margin;
2. The conventional wisdom of baseball
insiders that high school players were more likely to become superstars was
demonstrably false.
Though
James never showed how the statistics of high school or college player might be
used to make judgments about his professional future, privately, Paul
DePodesta, the head of research and development for the A’s, had made his own
studies. In their draft, the A’s were going to put their radical new ideas to
the test: despite the shrieks of ultimate baseball insiders, the scouts. Billy
Beane’s version of the draft using Sabermetrics, as compared with the rest of
baseball, was the equivalent of investment house analysts using statistics to
pick stocks versus amateur investors going on their gut call. Lewis said:
Billy
Beane was a human arsenal built, inadvertently, by professional baseball, to
attack its customs and rituals. He thought himself to be fighting a war against
subjective judgments, but was doing something else too....Billy Beane had gone
looking for, and found, his antithesis. Young men who failed the first test of
looking good in a uniform. Young men who could hit play anything but baseball.
Young men who had gone to college.
How
Billy Beane applies science to win an unfair game: drafting, trading and
fielding a team.
The
A
poor team could not afford to go shopping for big league stars in the prime of
their careers. It could not even afford to get average priced players. The
average big league salary in 2002 was $2.3 million. The average A’s opening day
salary was a bit less than $1.5 million. The poor team had to go find bargains:
young players, older guys the market undervalued, people who did not look
attractive to the rest of the teams. If the market was close to rational, all
the good ball players had been bought up by the rich teams and the A’s would
not have had a chance. However, they did have a chance. They won their division
three years in a row. How?
Major
League Baseball created a blue ribbon panel on baseball’s economics in 1999 to
analyze the plight of smaller market teams with a view towards analyzing the
dominance of the larger markets versus the smaller markets. Most of the members
of the panel felt that parity or some kind of salary control would be the only
way to have smaller market teams compete. However, one dissenting voice, former
Federal Reserve chairman Paul Volker, the only panel member with a financial
background, asking two provocative questions:
1. If poor teams were in such dire financial
condition, why do rich guys keep paying higher prices to buy them? 2. If poor
teams had no hope, how did the
In
1998, Billy’s first year on the job, the A’s went 74-88. In 1999, the A’s
finished 87-75. Volker wanted to know how the A’s did it. Paul DePodesta wrote
Billy’s Beane’s presentation before the panel. Billy testified to the blue
ribbon panel that the Oakland A’s lack of funds meant signing no famous stars
no matter how well the team performed and that kept the fans away. However, all
the A’s marketing studies showed that the main thing fans cared about was
winning. They did not care if it was with nobodies. Win and the fans come, lose
and they stay home. "Assemble nobodies into a ruthlessly efficient for
winning baseball games, and watching them become stars, was one of the
pleasures of running a poor baseball team." Billy also suggested that his
inability to pay the going rate for baseball players let alone stars meant that
his success was likely to be short-lived. But perhaps Billy did not really
believe what he said. Perhaps he felt that the baseball market was so
inefficient that superior management could still run circles around taller
piles of cash. The A’s won 91 games in 2000 and 102 games in 2001 and made the
playoffs in both of those years. The A’s were getter better over time: not
worse. Maybe the A’s were lucky: or maybe the A’s were more efficient. The Oakland A’s, by winning so
many games with so little talent and payroll were something of an embarrassment
to Bud Selig and his blue ribbon commission. Selig called them an
"aberration."
Before
the 2002 season began, Paul DePodesta had reduced the coming baseball season to
a math problem. He asked how many wins would it take to make the playoffs? He
concluded 95. He then calculated how many more runs the A’s would need to score
than they allowed to win 95 games: 135 (This analysis derives from Bill James).
Then, using the A’s players’ past performance as his guide, he analyzed how
many runs they would actually score and allow. He concluded that if he did not
suffer a huge number of injuries, the team would score between 800-820 runs and
give up between 650-670 runs. From that, he predicted that the team would win
between 93-97 games. Because the A’s entered the 2002 season without three
players widely regarded by the market to be among their best, the expected
result was a net loss of 7 wins: 102-95. How could that be when you lose three
stars? Beane and his staff analyzed that established closers were
systematically overpriced so the loss of Isringhausen largely meant that the
A’s lost Isringhausen’s saves. Well how important are saves? Saves often
occurred with a ninth inning that starts with the bases empty and the home team
leading. Billy felt that you could take a slightly above average pitcher and
drop him into a closer’s role and let him accumulate a gaudy number of saves
and then sell him off. Translated to Wall Street thoughts, that meant you could
buy a stock, pump it up with false statistics and sell it off for more than you
paid for it.
The
blue ribbon commission may have asked the wrong question: it was not whether a
baseball team could keep its stars even after they finished with their first
six years as indentured servants and became free agents: the questions was how
did a baseball team find stars in the first place. Could it find new talent to
replace the old ones lost? Talent was a lot more fungible than baseball teams
believed. Isringhausen could be pretty easily replaced.
Well
how about the loss of Johnny Damon, the A’s centerfielder? Before becoming
Billy’s assistant, DePodesta had analyzed baseball’s statistics. He found only
two statistics that correlated most closely with winning percentage: on-base
percentage and slugging percentage. Everything else was far less important.
"On-base percentage" is actually on-base per thousand at-bats. If a
batter gets on base 4 out of 10 times, he has an on-base percentage of four
hundred (.400). Slugging percentage is actually based on "per four
thousand." A perfect slugging percentage achieving a home run every time
is four thousand (four bases every plate appearance). The majority of big
league players have on-base percentages between .300-.400 and slugging
percentages between .350-.550. On-base plus slugging was the simple addition of
on-base and slugging percentages. This was a much better indicator than any
other offensive statistic of the number of runs a team would score. Simply
adding the two statistics suggest that they are of equal importance but as it
turns out, on-base percentage is more valuable than slugging percentage point
for point. An extra point of on-base percentage was worth more than three times
an extra point of slugging percentage according to DePodesta’s calculations.
This analysis tells a baseball professional the most important thing a player
can do is get on base. It does not matter how. There were underpriced baseball
players able to get on base.
A
method to analyze loss of defense arose from financial market analysis in the
early 1980s: the advent of the options and futures market. Options and futures
were fragments of stocks and bonds; they became known as derivatives. They had
a certain precise quantifiable value. Stock and bond valuation was a matter of
opinion: the market told us what they were worth. But fragments of a stock or
bond, when you glue them back together, must be worth exactly what the stock or
bond was worth. If they were worth more or less than the original article, the
market was thought inefficient. A trader could profit from such inefficiencies.
A
couple of option professionals, Ken Mauriello and Jack Armbruster, decided to
solve the issue of evaluating defense by quantifying every event that occurs on
the baseball field. They sought to determine how much should the players
involved be held responsible and therefore debited and credited. These baseball
students/analysts decided to base their accounting on runs: runs were the money
of baseball. They collected ten years of data from Major League Baseball: every
ball that was put into play. Every event that followed a ball being put into
play was compared by the system to what had typically happened during the
previous ten years. Thus, the performance of the player would be judged against
the average. Mauriello and Armbruster began by turning every major league
diamond into a mathematical matrix of location points. Each point was marked
with a number. Then they reclassified every ball that was hit. There was no
such thing in their record as a double: that was too inexact. There were no
such things as pop flies, line drives and grounders: the baseball was hit with
a certain velocity and trajectory to a certain grid on the field. In the Mauriello/Armbruster
form of analysis, a line drive double hit to the gap became a ball hit with a
certain force that landed on point number 643. Then the system carved up every
baseball play into countless, meaningful fragments: derivatives. For example, take
a single being hit to right field with a runner on first. If Raul Mondesi is
the right fielder, that runner stops at second base instead of dashing to third
because Mondesi threw a lot of people out. It is worth something. Mauriello and
Armbruster took James and his co-hort’s analysis one step further. They
recorded events on a baseball field without any reference to traditional
statistics. They not only ignored RBIs and saves, they ignored all conventional
baseball statistics. When Paul DePodesta saw the system in operation, he
immediately understood its significance: the system extracts the element of
luck. DePodesta liked the system so much, he encouraged Billy to hire these
unconventional baseball statisticians. Now, the A’s had a way of valuing Damon’s
defense. Let us assume for a moment that a line drive hit at X trajectory and Y
speed to point number 965 had 8600 identical hits in the system history. Let us
further acknowledge that 92 percent of the time that hit went for a double, 4
percent for a single and 4 percent of the time it was caught. Let us further
suppose that the average value of that event is .50 of a run. The system then
credits the hitter having generated .50 of a run and the pitcher with having
given up .50 of a run. If Johnny Damon happens to get one of his trademark
catches on such a hit, he is credited with saving his team .50 of a run. Using
this analysis, the A’s were able to estimate how many runs Damon’s likely
replacement would cost the team. The cost of losing Damon to his expected
replacement was 15 runs or about a run every ten games. The
Mauriello/Armbruster system was not perfect. It still could not make perfectly
definitive statements about fielding under this system because the system did
not measure where a defensive player started from. It does not tell you how far
a player had to go to catch a ball. Bill James had rated defense no more than
five percent of baseball. Superior defense might have been brilliant defense
positioning by the bench coach rather than the talents of the ballplayer. The
A’s concluded from this information they could not replace Johnny Damon’s
defensive ability: the cost would be too great. Accordingly, to offset the loss
of Damon’s defense, they added more offense.
The
blue ribbon panel report believed that a poor team could not survive the loss
of its proven stars. But the business was more complicated than that as proven
by the A’s. But the A’s still had to account for the loss of Giambi.
Jason
Giambi: A Baseball Hack
The
A’s knew they could not pay for Jason Giambi, the worst fielding first baseman
in baseball. They also knew they could not replace him: they could not afford
it. But what they also knew as it was not that important to replace him
identically. "The important thing is to recreate the aggregate." The
A’s believed that they could replace his most critical offensive trait, his
on-base percentage, along with other less obvious traits. Giambi’s on-base
percentage had been .477, the highest in the American League by fifty points.
The average American Leaguer’s on-base percentage was .344. They could not
directly replace an on-base percentage that got you on-base 50 percent of the
time. However, the A’s could replace it at relatively little cost, but they had
to sacrifice other qualities in replacement players. Paul mused there had to be
something wrong with a player for them to get to us.
Giambi
would improve his team’s chances in many imperceptible and unmeasurable ways.
He had an ability to wear down first string pitchers giving everyone else more
chances to hit against a second stringer. He drew this from his perfect
understanding of the strike zone. He had the hitter’s equivalent of perfect
pitch. Giambi’s genius as a hitter takes control of the batting encounter away
from the pitcher. Ted Williams, one of the game’s greatest hitters, authored a
book called The Science of Hitting
which stated that every hitter has a hole: a place where he cannot hit the ball
well. If a pitch is thrown to the hole, you can reduce a hitter’s average by many
percentage points. Giambi had a hole waist high on the inside corner of the
plate about the size of a pint of milk: two baseballs in height and one
baseball in width. The A’s have videotape of each hitter’s at-bat which is or
can be reviewed by the hitter during the game in between innings. Mastery of
the strike zone by the hitter is the key skill that the A’s try to teach their
hitters. That is the equivalent of good work habits in our lives. If we could
have our staff and colleagues consistently use good work habits in our jobs,
professions and workplaces, would we not be scoring more runs too? What was the
answer to the loss of Giambi: Scott Hatteberg, a slow misshapen "has
been" catcher who never played first base and cannot throw.
Scott
Hatteberg: A Sabermetric Hitting Dream
Hatteberg
was a Red Sox catcher as the 2002 season apprached. Playing a half season as a
catcher with the Red Sox with a ruptured nerve in his elbow, he pressed on the
nerve every time he straightened his throwing arm. After an operation in the
off season, he could not hold a baseball much less throw it. The Red Sox gave
up on him and traded him to the Colorado Rockies. As a sixth year player in the
big leagues, he was eligible for arbitration. His salary was to be $1.5 million
for that many years in the league. The
As
infield coach for the A’s, Ron Washington’s job was to take them as Billy Beane
sent them during spring training and make sure they did not embarrass anyone on
opening day. Considering that the A’s would have started a blind man if he
could get on base,
As
a student of the game of hitting, Hatty owned a phone record of Don Mattingley
talking about hitting. He listened to it often. Mattingley preached that you
could look at a guy’s strikeouts and walks and tell what kind of a year he had.
Hatteberg also thought through baseball’s process of debilitating (wearing
down) hitters. He felt that the big leagues was a ruthlessly efficient
ecosystem: every hitter had a weakness. Once the weakness was exposed, you had
to make an adjustment or the whole league would get you out. If you had a
weakness for pitches out of the strike zone, unless you could compensate with
an extraordinary talent, you were doomed. From this paradigm, Hatteberg
concluded that unless there were two strikes, he would not swing at anything he could not hit hard even if the pitch was a
strike.
In
1996 when Hatteberg was in the big leagues for good, the Boston Red Sox hitting
culture tried to sink his game. He was thoughtful, patient: the Red Sox thought
that was a defect. The Red Sox wanted players to harness their aggression. Even
the Red Sox’s star, Wade Boggs, a great patient spray hitter, was harassed by
the Red Sox organization. When Boggs would take a walk when there was a guy on
second, they called him selfish. Coach Jim Rice, a former Red Sox slugger
great, berated Hatteberg for lack of aggression. The Red Sox coaches encouraged
him even when he took poor swings but succeeded. The Red Sox were obsessed with
outcomes: Hatty with process.
Hatty
was finicky as a batter, he only picked the pitches he wanted to hit. Hatteberg
concluded his 2002 season with some odd statistics and one not so odd. In 2002,
he was:
1. First in the American League in not
swinging at first pitches;
2. Third in percentage of pitches not swung
at (64.5%); and
3. High in how many runs would a line-up
produce that consisted of nine perfect replicas of Scott Hatteberg: 940-950
runs.
The
explosive 2002 New York Yankees had only scored 897 runs as a team. Nine Scott
Hattebergs were, by some measure, the best offense in baseball.
Trading
for Gems
To
understand how this team with no money kept winning more and more games each
season, one would have to underscore the team’s abnormal ability to improve in
mid-season. Since 1999, the A’s played like a different team after the All Star
Break. In 2002, they were 44-43 before the break and 58-17 after it. That
percentage of wins post All Star Break had never been achieved since 1933. The
reason why the A’s played as a different team in the second half of the season
is that they were a different team. When spring turned to summer, the market
allowed the A’s to do things other teams could not do. Bad teams lost hope
accompanying the miasma of losses with the desire to cut expenses. A team’s
variable costs are in the cost of labor, so they dumped players. As the supply
of players rose, the prices for players fell. At mid-season, Beane could
acquire players that he could never have afforded it at the start of the
season.
Billy
had five rules applying to trading:
1. No matter how successful you are, change
is always good. There can never be a status quo. When you have no money, you
can’t afford long-term solutions, only short-term ones. You have to always be
upgrading. Otherwise you are...[in trouble].
2. The day you say you have to do something,
you are screwed. Because you are going to make a bad deal. You can always
recover from the player you didn’t sign. You may never recover from the player
you signed at the wrong price.
3. Know exactly what every player in
baseball is worth to you. You can put a dollar figure on it.
4. Know exactly who you want and go after
him. (Never mind who they say they want to trade.)
5. Every deal you do will be publicly
scrutinized by subjective opinion. If I’m [IBM CEO] Lou Gerstner, I am not
worried that every personnel decision is going to wind up on the front page of
the business section. Not everyone believes that they know everything about the
personal computer. But everyone who ever picked up a bat thinks he knows
baseball. To do this well, you have to ignore the newspapers.
Billy
Beane was a phenomenal trader. He stuck to rules one through four vigorously
but really could not live with rule #5. He did care what the newspapers wrote.
It is his incredible competitiveness, creativity and imagination that allowed
him to pull off trades that others would never even think of. He learned to use
the cash of the rich teams like the Mets and the Yankees where cash is often
thrown as an afterthought in trades to pay the salaries of the players he
really wanted.
Jeremy
Giambi became a Philly briefly for a portion of the 2002 season. The younger
brother of Jason Giambi, the baseball machine, was on the A’s and was hired as
part of the solution to replace Jason. Jeremy ceased being an on-base machine
and an efficient offensive weapon during the first half of the season. He was a
27 year old professional baseball player having too much fun on a losing team.
Behind this, he was reported as going to strip clubs, drinking too much on team
flights and otherwise staying out late. Billy decided to fire him and he did
not care who he got in return. The Phillies offered John Mabry. Billy did not
know who Mabry was and did not care. DePodesta tried to talk Billy down. He
explained to Billy that this is a lousy baseball decision. Billy responded that
it might be his worst baseball decision but it was his best decision as a GM.
Paul argued that it was irrational. Billy was not thinking objectively. He was
looking for someone on whom to vent his anger. When Billy traded Jeremy Giambi,
the A’s were 20-25. They had lost 14 of the previous 17. Two months later, they
were 60-46. Billy was now a genius. "Shooting Old Yellar had paid
off."
Billy
would keep up constant chatter with other general managers and one of the
purposes was to gain intelligence about how the other general managers were
evaluating the value of ball players that Billy might be interested in
obtaining or trading.
In
2002, Billy traded for all star second baseman and leadoff hitter Ray Durham
with the White Sox. To get
The
Toronto Blue Jays general manager, J.P. Ricciardi, said that watching Billy do
a deal was "like watching the wolf talk to Little Red Riding Hood."
Billy often sought to insert himself into a middle of a deal that was none of
his business in order to get some value from a deal. When the Montreal Expos
were trading their soon-to-be free agent star Cliff Floyd, the Expos general
manager, Omar Minaya, started talking with Billy. Eventually, Omar took a deal
that included a Red Sox trade for Floyd in exchange for two big leaguers,
Rolando Arrojo and a South Korean pitcher named Seung-jun Song. Beane had only
offered a promising double A pitcher for Floyd. But to insinuate himself into
the deal, Billy offered Omar any player in the A’s farm system, within reason,
to let Floyd go to
The
Red Sox assistant general manager, Theo Epstein, a 28 Yale graduate in 2002,
intended to be a general manager someday. He is, in fact, the general manager
today. Like Billy, Epstein is to the use of Sabremetrics. Though the Youkilis
trade did not happen, the set up was brilliant, the conception was phenomenal.
How
Some Undervalue a Pitcher
Through
their wheeling and dealing, the A’s acquired Ray Durham and Ricardo Rincon, a
left handed relief pitcher, both of which added snap to their team. The A’s had
won their previous 19 games and tied an American League record for consecutive
wins. On September 4, 2002, with a crowd of 55,528, the largest regular season
attendance, the A’s went out to do what had never been done in 102 year history
of the league: win their 20th game in a row. Though up 11-5 in the
top of the seventh inning, trouble struck. The A’s 6' 5" right handed
reliever was called into try to close. Lewis described his pitching style:
Pitching out of the stretch, he does not rear up
and back, like other relief pitchers. He jackknifes at the waist, like a
jitterbug dancer lurching for his partner. His throwing hand swoops out towards
the plate down towards the earth less than an inch off the ground, way out
where the dirt meets the infield grass. He rolls the ball off his finger tips.
He is submariner which is baseball’s way of making a guy who throws underhand
sound manly.
Chad
Bradford wants to be normal, but he is anything but. His idiosyncracies run to
his core. In high school he had a shiny white rock he would sneak with him to
the mound. He attributed part of his success to the presence of this shiny
white rock. He thereafter carried it home with him and for the next three
years, he never ventured to the pitcher’s mound without his rock. He would
sneak it out with him in his pocket and put it on the mound in such a way no
one ever noticed. In the big leagues, he no longer used his lucky rock, but he
did not lose his idiosyncracies. He always throws the exact same number of
pitches in the bullpen in the exact same order. He tells his wife to leave the
stadium the moment he enters a game. He never touches a rosin bag.
Statistically,
Chad Bradford’s 2002 effort indicates he was the best pitcher in the A’s
bullpen and one of the most effective relief pitchers in all of baseball. The
O’s payed Chad Bradford $237,000.00 a year in 2002. Billy Beane did not have
the bucks to buy great big league pitching talent. Pitchers were like writers
according to Billy Beane, each writer had a different way of achieving his
effects and they needed to be judged by those effects rather than by their
outward appearance or technique. For example, to place a premium on velocity
for its own sake was like placing a premium on a big vocabulary for its own
sake. Saying all pitchers should pitch like Nolan Ryan was as absurd as
insisting that all writers write like John Updike. Good pitchers were pitchers
who got outs. How they did it was beside the point.
Sometimes
pitchers with phenomenal control one morning throw the ball over the catcher’s
head that afternoon. Sometimes flame throwers exhaust their fuel. Sometimes
great prospects go nowhere and sometimes sleepers become stars. Sometimes a 30
year old mediocre pitcher develops a new pitch and becomes a star overnight.
Some major league pitchers have statistics better than their minor league ones.
Pitching is an odd business. It is obviously a physical act but it is also in
part an act of imagination. The adjustments that lead to pitching success, the
getting of outs, are mental as much as they are physical acts. Chad Bradford is
the king of the odd out getters. The quality of his imagination is far greater
than the strength of his arm.
Bradford
grew up the youngest child of a lower middle class family in
In
1994,
In
June, 1998,
Unbeknownst
to
The
internet advanced baseball knowledge. It created discussion groups, web sites
about baseball and cheap publication of new writings and ideas. Up to this
point, no one had distinguished pitching from good fielding. If you do not know
how to credit the fielder for what happens after a ball gets into play, you
cannot know how to assign blame to the pitcher. Therefore, one could never say
with a certainty how good any given pitcher was or any given fielder. When
Voros looked at the problem afresh, he tried to think about it logically. He
divided the stats a pitcher had into those that defense behind could affect:
hits and earned runs. From those, he separated the stats a pitcher did all by
himself: walks, strikeouts and home runs. He then ranked all the pitchers in
the big leagues by the second category. When he ran the stats for the 1999
season, he wound up with the list topped by these five pitchers: Randy Johnson,
Kevin Brown, Pedro Martinez, Greg Maddox and Mike Mussina. However, a curious
statistic popped up about Greg Maddox: his earned run average had risen from
2.22 in 1998 to 3.57 in 1999 largely because he gave up 57 more hits in 32
fewer innings. Millwood, the same year, had the lowest hits per ball batted
into play. Even stranger, their statistics the following year were reversed.
This did not make any sense.
Voros
concluded from his statistical analysis: "What if a pitcher has no control
of whether a ball falls for a hit, once it gets put into play?" It was
generally assumed that a strikeout pitcher would have fewer balls put into play
and therefore might have better results. It was also generally assumed, that
pitchers could affect the way a ball was put into play. It was assumed that
great pitchers like Randy Johnson or Greg Maddox coaxed hitters into hitting
the ball in a way that was less likely to become a hit. That assumption did not
square with the record books. There were years when Maddox and Johnson are
among the worst in baseball in this regard. Thus, what had previously been
attributed to the skill the pitcher was caused by defense, ballpark, or luck.
It is pretty obvious that Maddox and Millwood pitched in front of the same
group of fielders in the same ballparks. Therefore, defense and ballparks
should not be a material factor. Voros then concluded: what if what was here
before regarded as the pitcher’s responsibility is simply luck?
Voros
then set out to prove himself wrong. He wrote a computer program that compared
the major league pitchers who had similar walks, strikeouts and home runs but
had given up very different number of hits. He located 90 pairs from the 1999
season. Voros reasoned that if hits per ball in play were indeed something a
pitcher could control, then pitchers who had given up fewer hits in 1999 would
proceed to give fewer hits in 2000. They did not. There was no correlation from
one year to the next in any given pitcher’s ability for hits per ball in play.
Based
on Voros’ pitching analysis, Voros developed the statistic he could trust:
DIPS: defense independent pitching statistic. It also could have been called
LIPS for luck independent pitching statistic because it also stripped luck out
of the equation. In any event,
When
we think of Voros’ analysis, like the James’ analyses before him, are assume it
would change major league baseball: it did not. Voros said:
The problem with major league baseball is that
it’s a self-populating institution. Knowledge is institutionalized. The people
involved with baseball who are not players are ex-players. In their defense,
their structure is not set up along corporate lines. They are not equipped to
evaluate their own systems. They do not have the mechanisms to let in the good
and get rid of the bad. They either keep everything or get rid of everything,
and they rarely do the latter.
Voros
sympathized with baseball owners:
If you are an owner and you never played, do you
believe Voros McCracken or Larry Bowa? One was an unemployed former paralegal
living with his parents, the other a former all star shortstop and current
manager.
But
Paul DePodesta had read McCracken’s work. After reading it, the first thing he
thought about was Chad Bradford.
The
A’s had already come to believe that the right pitching statistics were much
more reliable than evaluating "how a pitcher looked."
The
Human Element: The Human Condition
When
comparing ballplayers, how do we account for the human factor? Is every player
governed by his statistics? Eric Chavez was playing third base for A’s. In
2002, Chavez was 24. The season was not over and he had 31 homers, 28 doubles,
55 walks, a .283 batting average and a .353 on-base percentage. To whom do you
compare him? Jason Giambi at 24 spent half the year in
Now
Tim Hudson is in trouble going for the 20th straight win and they
call for Chad Bradford from the bullpen.
In
the 1983 abstract, Bill James had thought about what had happened to the A’s at
this evening’s momentous game. Bill suggested that there is a force that
constantly reduces the differences between strong teams and weak teams, teams
which are ahead and teams which are behind, or good players and bad players.
James posited:
1. Every form of strength covers one
weakness and creates another, and therefore every form of strength is also a
form of weakness and every weakness is strength.
2. The balance of strategies always favors the
team which is behind.