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Stumbling on Wins (Bonus Content Edition)
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Stumbling on Wins (Bonus Content Edition) [Format Kindle]

David Berri , Martin Schmidt

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Descriptions du produit

Revue de presse

As seen on The New York Times' Freakonomics blog,'s True Hoop, and


"In Stumbling on Wins, sports economists Berri (Southern Utah Univ.) and Schmidt (College of William and Mary) follow up their The Wages of Wins (with Stacey Brook, CH, Jan'07, 44-2764) with more modeling and number-crunching applications. The holy grail remains the same: understanding and improving decision making on the court, field, and ice and in the front offices of North American professional team sports. Summing Up: Recommended. Sports and sports economics collections at all levels. Reprinted with permission from CHOICE, copyright by the American Library Association.

Présentation de l'éditeur

The next quantum leap beyond Moneyball , this book offers powerful new insights into all human decision-making, because if sports teams are getting it wrong this badly, how do you know you're not? Sometimes the decisions that teams make are simply inexplicable. Consider: sports teams have an immense amount of detailed, quantifiable information to draw upon, more than in virtually any other industry. They have powerful incentives for making good decisions. Everyone sees the results of their choices, and the consequences for failure are severe. And yet... they keep making the same mistakes over and over again... systematic mistakes you'd think they'd learn how to avoid. Now, two leading sports economists reveal those mistakes in basketball, baseball, football, and hockey, and explain why sports decision-makers never seem to learn their lessons. You'll learn which statistics are connected to wins, and which aren't, and which statistics can and can't predict the future. Along the way, David Berri and Martin Schmidt show why a quarterback's place in the draft tells you nothing about how he'll perform in the NFL... why basketball decision-makers don't focus on the factors that really correlate with NBA success... why famous coaches don't deliver better results... and much more.

Détails sur le produit

  • Format : Format Kindle
  • Taille du fichier : 2130 KB
  • Nombre de pages de l'édition imprimée : 256 pages
  • Utilisation simultanée de l'appareil : Jusqu'à  appareils simultanés, selon les limites de l'éditeur
  • Editeur : FT Press; Édition : 1 (8 janvier 2010)
  • Vendu par : Amazon Media EU S.à r.l.
  • Langue : Anglais
  • ASIN: B0031WHC14
  • Synthèse vocale : Activée
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Commentaires client les plus utiles sur (beta) 3.9 étoiles sur 5  41 commentaires
28 internautes sur 31 ont trouvé ce commentaire utile 
3.0 étoiles sur 5 Disappointing: nothing new, a limited unvariate analysis of a multivariate dynamic system 3 juin 2010
Par Peter G. Keen - Publié sur
Format:Relié|Commentaire client Vine pour produit gratuit (De quoi s'agit-il?)
This is disappointing and I don't recommend it, either for sports fans or anyone with an interest in the growing and substantial research on fallibilities in human judgment, decision making and use of information. Its basic point is one that is well established, that conventional measures of performance in professional sports are misleading predictors of future performance; examples are pitchers' ERAs and NBA points per game. It repeats the many-times made observations about how often NFL first round quarterback draft picks are bombs. That's well presented and thoroughly documented but in more detail than the use of the findings warrants. Its main point is that overreliance on the wrong data leads to bad economic decisions by managers who should know better. I don't recall any item in the analysis that has not been covered elsewhere. Examples here are: (1) Field managers and coaches in baseball, football and basketball have little impact on team performance, (2) Statistically, it makes sense to go for it on fourth down, (3) Trading up to get a high draft pick is generally a bad deal, economically and in terms of finding the best talent, (4) NBA draft position is a poor predictor of career performance, (5) The NBA "hot hands" streaks are a myth and (6) Isiah Thomas was a truly, truly lousy general manager of the Knicks. Agreed. Agreed.
The main weakness of the book seems to me that it largely relies on data about individual performance for its core evidence and though it alludes to the context of teams, it is very univariate in its analysis. The authors emphasize this but only in a single footnote. (The regression-based methodology examines only the strength of the linear relationship between two independent variables.) There is no multivariate perspective: the balance of a team's roles within a deliberate defense-offense strategy, career injuries, character burnouts and dysfunctions, owners, franchise history and the many contextual economic factors such as player caps and guaranteed contracts. It's almost all about individual stars only. The selected examples seem casual and arbitrary. In a book that argues that the role of the coach is minimal, for instance, there is no mention of, among others, Bill Belichick, Bill Walsh and Scotty Bowman, as counterexamples or confirmatory ones to be explained through the same methodology of data analysis. None of these are even mentioned once and Isiah Thomas and Alan Inverson are given far too many pages. There is no consideration of what I suspect explains the dynamics of performance, which is the nature of sports teams as a social organization comparable to that of most Fortune 1000 firms and very much driven by short-term career, management and market pressures. Given that the univariate analysis shows that no figure explains more than a fraction of the variance in the linear regression analysis, then there simply must be a multivariate methodology for any conclusions to be drawn about the nature of the decision making process.
Perhaps I am incorrect in my assessment here; I have only limited skills in statistical analysis. The authors have strong resumes and the book thoroughly documents its sources and provides excellent footnotes. It's well presented. But all in all, it seems far too casual in its framing of a complex issue, doesn't add new insights and is overloaded with micro-level data that belabors the case that decision making in pro sports is largely screwed up.
3 internautes sur 3 ont trouvé ce commentaire utile 
3.0 étoiles sur 5 interesting but not enough for a book 27 décembre 2010
Par bottomofthe9th - Publié sur
Format:Relié|Achat vérifié
Interesting in parts, but this is obviously a blog converted into a book, rather than content so substantive that it was suited to a book. Most of the inefficiencies discussed are relatively common knowledge by now among statistics-savvy fans, although I did think the analysis on how kickers' value comes more from their kickoffs than field goals was interesting and new.
1 internautes sur 1 ont trouvé ce commentaire utile 
2.0 étoiles sur 5 Skip it 17 décembre 2013
Par yliebermann - Publié sur
Format:Format Kindle|Achat vérifié
This book struggles to find its depth. One paragraph presumes you've got a well-rounded understanding of statistics, then the next gets completely hand-wavey with the numbers and equations. For example, there are multiple "tables" of which factors are relevant to success in a particular field, but they're merely divided into "significant" and "insignificant"--no figures to speak of, excepting the one or two that inadvertently sneak into the surrounding text.

The major points of the book are superficial. They spend a chapter regurgitating the Moneyball thesis. Then they argue that in basketball shooting efficiency is more important than points scored, even though the latter tends to get guys paid. Well-trod ground. The authors spill a lot of ink pretending their thesis is whether or not the people running sports franchises make good decisions or not, but apart from Moneyball (which no longer works because the inefficiency has been eliminated) and Isaiah Thomas (nuff said) they fail to even attempt an argument either way.

There's an appendix devoted to explaining why the NFL Quarterback Rating is a flawed measure of a quarterback, because it only measures passing. Yeah, that's because it's actually called the PASSER RATING. Understanding things like this should be a requirement for calling into a talk radio program, let alone writing a book about sports analysis.
1 internautes sur 1 ont trouvé ce commentaire utile 
3.0 étoiles sur 5 Linke "Freakanomics" for sports fans 19 août 2010
Par D. Greenbaum - Publié sur
Format:Relié|Commentaire client Vine pour produit gratuit (De quoi s'agit-il?)
"Stumbling On Wins" is a very entertaining book - it essentially takes a statistical, economic approach to sports in an attempt to answer common barroom debates such as which coaches are the best and do things like streaks and hot hands really exist.

This approach to sports isn't new - baseball has been stat-crazy for years, and "Moneyball" took it to the next level by providing (sometimes surprising) statistical value to various aspects of the sport. "Stumbling On Wins" expands the formula to other sports, such as pro basketball and football to answer questions about the real value of coaches and players.

The book is filled with nuggets of interesting data that have the potential to change how you look at sports. For example, in professional football, kickers really do matter (not terribly surprising) but what is surprising is that their skill on kickoffs is actually more valuable to a team then their field goal accuracy. Sound crazy? Well, there's stats to back it up.

Other areas of interest in the book cover things like the relative value of various pro athletes (underpaid and overpaid) which are always fun to debate, and especially for basketball fans, a baseball-level-geekery of analysis which is eye-opening to say the least (hint: rebounds are more important then you think.)

I would recommend this book to anyone with an interest in pro sports, from the casual fan to the fanatic. It is an enjoyable, fairly quick read and like the best books, it challenges how you think.
1 internautes sur 1 ont trouvé ce commentaire utile 
4.0 étoiles sur 5 Mostly wins (but a few fumbles)--An interesting look at predicting performance in professional sports 15 juin 2010
Par Jojoleb - Publié sur
Format:Relié|Commentaire client Vine pour produit gratuit (De quoi s'agit-il?)
In their book Stumbling On Wins, economists David J. Berri and Martin B. Schmidt show their readers how statistics might be used to help make decisions in professional sports. They highlight situations where an in depth look at the numbers challenges conventional wisdom and show how commonly quoted statistics, such as batting averages and earned run averages, have little to do with a player or team's success. Overall, they do a good job of bringing to light how 'conventional wisdom' in sports leads to bad decision making and are able to do this in layman's terms. They also suggest new metrics that have more validity to replace the old ones. At times, however, they seem to dumb things down just a little too much and simply present series after series of conclusions without much in the way of explanation. But more often than not their conclusions still fly in the face of our expectations and--at least for someone like me who is new to this way of thinking--makes for an interesting read.

Before I begin, let me just say that this is my kind of book about sports. Having a 'deletion in the sports gene,' I have little patience for sitting through a game of football, baseball, or basketball and have never regularly follow any teams. Having a son, however, changed all of this for me. He grew up loving to play anything that involved a ball or a puck and at the age of 5 would even sit rapt attention watching a golf match on TV. Sports fascinated him. They were part of his inner fabric and as a father I had to adjust and become part of something alien to me. So I tried to latch on to some aspect of the game that seemed to make sense--the numbers. I would look at the stats and try to predict what a player or a team might do or guess at how coaching decisions should be made. Over the years, this has not been a very satisfying hobby as the numbers never completely jibed with the performance on the field. Watching the game was frustrating. Watching the numbers fail to explain the game was even more frustrating. Maybe I just didn't get it.

Enter Stumbling on Wins. Finding out that the often quoted statistics for teams and players are not always the best predictors of performance was eye opening for me. Berri and Schmidt show how the venerable, 'tried and true' statistics of the past--the ones that populate box scores and are quoted by announcers--are simply unreliable. The authors introduce new metrics that better predict player and team performance. And when their more advanced statistics still can't predict performance, they say so.

They also take a look at the pitfalls of assessing players using the usual sports statistics and how organizations, such as the NFL, might change the way they look at a given player (and that player's first year salary) if they used more sound statistical methods when making lists for their annual draft picks. They even go as far as showing how the a lack of understanding the numbers has adversely affected sports halls of fame. Using economic, statistical methods the authors show how some hall of famers in a given sport actually performed less well over time than their lesser known rivals.

The authors also show how teams who think outside the usual box can find success using these methods. The poster children in this respect are the 1997 Oakland As. General manager Billy Beane was able to exploit the fact that the salaries for hitters in MLB did not accurately reflect the actual contribution of an individual player to winning games. By using on-base percentage instead of batting averages, Beane was able to assemble a less expensive but more effective team. Eventually, of course, other teams picked up on Beane's trick, on-base percentage was used to determine how much a hitter was paid, and Beane's advantage was eliminated. Nevertheless, this highlights the fact that finding right metric (before your competition does) may be the key to assembling a successful team.

There are some pitfalls here, however. For example, the authors conclude that coaching in the NBA is not all that relevant. Although they are often credited with wins and losses, the authors suggest that wins and losses have more to do with a given team's players than the choice of a head coach. So should NBA teams run with this, not worry about their coaches, and drop those high-salary, veteran coaches for some cheaper, young ones? I don't think so.

One line of the evidence they use to show that coaching isn't all that relevant is that a players performance statistically doesn't change when they change teams. This may be true, but it doesn't negate the effects of coaching. I think the confounder here is that a player isn't a robot. Players don't forget what they learned while serving on their prior team. If they had good coaching and were taught to play effectively, they likely will bring what they have learned to another team.

Moreover, a head coach in the NBA has a profound effect on assembling a team in the first place. So even if a given coach's ability to win is really the based on the talent of their players, that's okay. These are not independent variables: the coach was responsible for assembling the team in the first place.

In fact, fans and owners alike are happy to admit that good coaching only goes so far. If a team has incredibly sub par talent, it won't do well. If a team has incredible talent, it will probably do well without a coach. But when you have two teams pitted against each other with comparable skills, coaching probably makes a big difference. (For this reason, coaching may be more important in post season games, something that the authors didn't really address.) Coaching decisions, at least by observation, seem to make a big difference. It's hard to imagine, for example, that the Saints would beat the Colts in Superbowl XLIV without some gutsy coaching decisions. On the positive side, Berri and Schmidt admit that some coaches (e.g. Phil Jackson) do seem to enhance the performance of a team. But the authors also admit that they don't have a way of looking at the numbers to understand why this is so.

A minor gripe--there are two appendices in the back of the book that try to explain how to measure wins in the NBA and wins in the NFL. Both of these go into a little more depth concerning the statistics and are more difficult to read. Some terms are not well explained and both sections refer you to the authors' website for clarification. I'm not big on the 'refer to the website' thing. I like books to be complete. If the information is worth sharing, I feel that it should be included in print.

The authors also include some very informative and interesting end notes. Given the sheer amount of information therein, they would have better been placed as footnotes. Once they are relegated to the back of the book, very few readers will actually refer to them.

The authors wanted the book to be understandable to the masses, so they wrote in layman's terms. I'm okay when they describe the gist of mathematical terms in simple language, but there are times where they may have dumbed down things a little too much. This makes it more difficult to understand how they chose and weighted certain player statistics to build a composite number that works as a good predictor of outcomes.

Still, this is a very informative and interesting book that brings to light new insights on evaluating performance in competitive sports. There's a lot of wisdom in this thin book and it is a quick and engaging read. Recommended.
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