» Baseball's All-Time Best Hitters: How Statistics Can Level the Playing Field

Baseball's All-Time Best Hitters: How Statistics Can Level the Playing Field Reviews

Customer Rating:
Summary: One of the best baseball books ever written
Comment: Baseball fans love to engage in "who's the best" debates. When I was young, that was the primary topic of conversation between the boys in my neighborhood. Since we did not have a great deal of knowledge concerning the history of the game, our debates were primarily over the current teams and players. Occasionally, we did delve into the "of all time" areas, but our arguments were always weakened by issues such as the differences in the ballparks and how the game had changed over the years. We always considered these issues to be ones that we could not resolve, so little time was spent on them.
In this book, statistical techniques are used to adjust for the differences in the era, different ballparks and how the rules have changed over the years. The conclusions are somewhat surprising and while they can be controversial, it is difficult to argue with the methods used to arrive at the conclusion. Schell's conclusion is that Tony Gwynn is the best hitter of all time. Tables abound, demonstrating statistics adjusted for the appropriate changes. Some of the most astounding statistics are those regarding the effect that a ballpark can have on a career. On page 190, there is a synopsis concerning Fenway Park, the home of the Red Sox. It was a park that favored the pitchers until 1934, when there was a major renovation. Since 1934, one-third of the American League batting champions was a member of the Red Sox. Coors Field, the home of the Colorado Rockies, is the best park for hitters, a conclusion easily supported by the data. For all three years covered in this book, the Rockies won the team batting title and the individual title was a race between Tony Gwynn, Mike Piazza and someone from the Rockies.
As a lifelong baseball fan and a teacher of statistics, I loved this book. It is also not necessary to completely understand all of the statistical concepts to appreciate the conclusions. There is also a list of the best players based on each position other than pitcher, although all outfielders are grouped together. Schell lists "Actual and Recommended Hall of Fame ***" where *** is the given position, based on the statistical adjustments he has performed. Although there is some room for controversy regarding Schell's conclusions, he provides a fascinating look into how the game has changed over time and how it can change from ballpark to ballpark.

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Customer Rating:
Summary: a stats book on baseball
Comment: Most baseball fans like statistics, so it should not be a disappointment to them to find out that this is an elementary statistics book where the statistical methods are taught to explain how to adjust batting averages in order to compare players in terms of their batting averages. The average baseball fan would be interested in comparisons of Ty Cobb, Tony Gwynn, Ted Williams and others who are acknowledged as the best hitters for average in the game. Schell considers factors that make direct comparisons unfair and he provides methods to adjust for these factors based on the vast amount of statistical data available to him that has been gathered throughout the history of major league baseball.
Key effects include the home ball park, stage of career and interventions such as the lowering of the pitcher's mound after 1968. To adjust for players whose abilities decline substantially in the latter years of their career Schell uses only the first 8000 at bats to gauge the players hitting ability. This helps players like Mickey Mantle whose performance declined appreciably at the end of his career due in part to injuries.

Schell provides a lot of interesting statistics and comparisons. Ty Cobb had the highest lifetime batting average but after all the adjustments finishes second to Tony Gwynn, a result that will surely create controversy.

Nevertheless Schell's approach makes sense and his results are not too surprising. As he notes his adjustments move many of the modern players whose numerical averages are lower than the players from the late 1800s and early 1900s, ahead on the list.

Schell relates how he showed up to meet and congratulate Gwynn on the date of his 8000th at bat when he clinched first place based on the Schell adjustment system.

Mike Schell is a sports enthusiast and a professor of biostatistics at the University of North Carolina. In 2002 he was one of the invited speakers at the Sport Statistics Section Session of the Joint Statistical Meetings.

This book was published just one month after his other book on home run hitters. The methodology is quite similar. This book got a lot more fan fare due to the publicity regarding Tony Gwynn.

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Customer Rating:
Summary: ...but you missed the point...
Comment: Of course on-base and slugging percentages are much better measures of a hitter's worth, but that's not the author's point. He wants to take a particular statistic and show how it should be interpreted/reinterpreted, given the vagaries of time, location, etc. He could easily have chosen on-base, slugging, OPS, whatever, but batting average traditionally is the first one everyone looks at, as ill-informed as that may be. Implied is that the same arguments can be used for any of the other statistics. (And he does so, briefly providing the results.)

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Customer Rating:
Summary: Interesting...but only for those that want details
Comment: This is an interesting look at how to adjust for batting averages and compare players throughout baseball history. Schell uses a few methods to adjust the raw batting averages, such as adjusting for late career declines (he only uses the first 8,000 at bats), adjusting for eras, adjusting for league talent, and adjusting for home parks. Although these techniques are described in detail, I'm afraid most people won't appreciate it. The results of this book could have been written in a 5 page essay, but Schell decides to explain exactly how he went about the process. This is fine if you do care about the details, but not if you don't...so keep that in mind. I rated the book based on thinking the reader is interested in those details.

The other problem with the book is simply the topic. In this day and age, we understand that batting averages isn't the best measure of a hitter's contributions. Slugging percentage and on-base percentage are far more important. Schell does add a chapter on OBP near the end of the book. I suspect Schell understands this too as I see he has written a second book on Baseball's All-Time Sluggers. In Baseball's All-Time Best Hitters, he ranks Tony Gwynn as the best hitter of all-time. He defines hitter as one that gets hits. But the best hitter is not the best batter nor the best baseball player, so to me, this is almost a moot debate. Still, I appreciated the detail of how a statistician goes about looking at this issue. If you appreciate that kind of stuff, get this book. If not, avoid it.

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Customer Rating:
Summary: Best of its kind
Comment: This is the most painstakingly objective attempt I have ever seen to level the playing field when comparing players across eras. The criticisms that have been levelled against it are unjustified. First, the complaint is made that only batting averages are being considered, not on base percentage or hitting for power (slugging average). In the first place, that's not entirely true- he also runs an analaysis of on base percentages, and devotes a separate chapter to this - leaving me to wonder if the one critic who blasted the author for not considering on base percentages has even read the book. Secondly, the book is about batting averages, so of course the main focus is on -batting averages. Thirdly, another book will be forthcoming from the author on slugging averages.

The other criticism - that the book is "for nerds only" - is just an indication of who the target audience is. Not every book is written for everybody. If you like baseball and are a stats junkie and like to argue about this player being better than that player, then this book is for you. If you don't like baseball and aren't a stats junkie and don't like such arguments - then the book is NOT for you. For what it is - comparing batting averages and on base percentages of different players from different eras - it is the best of its kind.

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