Ebook , by Wayne L. Winston
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, by Wayne L. Winston
Ebook , by Wayne L. Winston
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Product details
File Size: 11195 KB
Print Length: 392 pages
Publisher: Princeton University Press; Revised ed. edition (March 18, 2012)
Publication Date: March 18, 2012
Sold by: Amazon Digital Services LLC
Language: English
ASIN: B0076LORD2
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Amazon Best Sellers Rank:
#80,722 Paid in Kindle Store (See Top 100 Paid in Kindle Store)
Consists of 50 short sections, each giving a statistical analysis of a specific question in baseball, football, basketball and gambling thereon -- typical examples being Evaluating (baseball) fielders, Why is the NFL's overtime system fatally flawed, End-game basketball strategy, Rating sports teams. So it's useful for providing an overview of the type of questions people have studied statistically, and interesting to see the author's answers to the specific questions. But what lies between the questions and the answers strikes me as much less satisfactory. Typically the author just writes down a formula intended to predict future probabilities or ratings based on past data, explains how to do the calculations in Excel spreadsheets, and shows the results. This is fine as far as it goes, but (to me, as someone who teaches freshman statistics (FS)) it is not usefully connected to FS. Interpreting what the results of a linear regression or a test of significance actually mean, and when they are applicable, involves subtleties far beyond what any brief text explanation can provide. So a reader who doesn't already know FS will surely be unable to internalize what's going on, or to be able to start doing analyses for themselves. And a reader who has taken a good FS course such as Statistics, 4th Edition will have lots of unanswered questions about why the author does this procedure rather than that procedure and how reliable the conclusions might be.
I love Winston's books. This one goes well with "Microsoft Excel 2013 Data Analysis and Business..." as a foundation. Reasonable priced and aimed at the "number comfortable". Any "Fantasy" gamer should also look at this. Winston consulted for the Mavs and his examples draw from many areas.
Wayne Winston addresses a myriad of topics in baseball, basketball and football via a statistics-heavy approach. There are 50 different "bites" spread out over 350 pages. There are many familiar topics for quantitative sports fans - Pythagorean theorem, platoon effects, player evaluations in different sports, and power rankings to name but a few.The entire book is moderately math heavy - over half of it is devoted to quantitative solutions using algebra, statistics and Excel worksheets (which you can find online via included addresses). If you do not enjoy the mathematical side of sports, you'll find most of the book unreadable. If you do enjoy math, stats or using quantitative approaches to gambling, this book is a nice review of most of the interesting approaches out there. The bibliography of cited books reads like a "who's who" of credible quantitative sports texts.A vast majority of the "bites" are already discussed extensively in other sources. The advantage of this book for most readers is that you can get such a diverse taste of different topics under one cover. If you are a sports modeler, the wide array of topics and approaches could help stir your own creativity. On more than one topic, I found myself saying "this assumption isn't valid!" But my making these assumptions and challenging them yourself, his approach opens up many unintended doors for the reader. For example, one bite addresses and argues that teams should pass more and run less than they do. To support this hypothesis, the book looks at a payoff chart for the yardage gained from a pass attempt versus a run attempt. The payoff chart does not consider volatility (rushing for 3 yards EVERY play is better than passing for 20 yards 1/4th of the time). It also doesn't look at the "disaster side" of passing - interceptions, quarterback fumble distribution, or greater offensive issues in a 2d and 10. Each article does make you think, which is its own payoff.My only criticism is that the writing style seemed a little clunky. If you are not fluent in math, the combination of writing style and the amount of non-math quantity may turn you off.
Bought this as an Christmas gift. Don't know much about the content or quality of the book.
I just love the book. You need a math background to read along all the book without problems. I really enjoyed it. I recommend to check the author's website to further information (as excel files)
Should a basketball team down by two with seconds to go try to tie the game with a two-pointer or attempt to win it with a three? Are football teams too conservative when deciding whether to go for it on fourth down? How efficacious are sacrifice bunts in baseball when there is a man on first and no one out?In "Mathletics", Wayne Winston uses mathematics to examine these and many, many more situations in baseball, football, and basketball. The author comes to many conclusions that are against current sports conventional wisdom. Some of the other more interesting questions Winston addresses are whether Joe DiMaggio's 56-game hitting streak is the all-time greatest sports record, whether college basketball games are fixed, whether the NFL or NBA has greater parity, which sports collapses are the greatest, and whether another system to determine a college football champion would be better than the current BCS.Some of the math in the book is too advanced even for someone who took college algebra, but someone who did well in college algebra and is familiar with some concepts in statistics such as standard deviation will be able to understand much of the math the author uses to reach his conclusions. Any serious sports fan, however, would enjoy reading the book just to see the conclusions the author arrives at concerning three of America's most popular sports.
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