Sports Analytics Quotes

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Surely the greatest tragedy for men in regard to the feminine principle is that their fear alienates them from their own anima, the principle of relatedness, feeling and connection to the life force. This alienation from self obliges alienation from other men as well. Often their only connection with each other comes through superficial talk about outer events, such as sports and politics.
James Hollis (Under Saturn's Shadow: The Wounding and Healing of Men)
Information is a source of learning. But unless it is organized, processed, and available to the right people in a format for decision making, it is a burden, not a benefit. —WILLIAM POLLARD, PHYSICIST
Benjamin C. Alamar (Sports Analytics: A Guide for Coaches, Managers, and Other Decision Makers)
I sometimes turn on the radio and I find very often that what I'm listening to is a discussion of sports. These are telephone conversations. People call in and have long and intricate discussions, and it's plain that quite a high degree of thought and analysis is going into that. People know a tremendous amount. They know all sorts of complicated details and enter into far-reaching discussion about whether the coach made the right decision yesterday and so on. These are ordinary people, not professionals, who are applying their intelligence and analytic skills in these areas and accumulating quite a lot of knowledge and, for all I know, understanding. On the other hand, when I hear people talk about, say, international affairs or domestic problems, it's at a level of superficiality that's beyond belief.
Noam Chomsky
A calm mind is not about doing nothing’, says Ajinkya Rahane. ‘It’s about keeping yourself busy, particularly if you are going through a tough phase. It prevents your mind from being flooded with negative thoughts.’14 Rahane found that ‘switching off’ after about fifteen minutes of introspection post a match made him more relaxed; very important for someone as intense and analytical as him.
Anita Bhogle and Harsha Bhogle (The Winning Way 2.0Learnings from Sport for Managers)
Bizarre and Surprising Insights—Consumer Behavior Insight Organization Suggested Explanation7 Guys literally drool over sports cars. Male college student subjects produce measurably more saliva when presented with images of sports cars or money. Northwestern University Kellogg School of Management Consumer impulses are physiological cousins of hunger. If you buy diapers, you are more likely to also buy beer. A pharmacy chain found this across 90 days of evening shopping across dozens of outlets (urban myth to some, but based on reported results). Osco Drug Daddy needs a beer. Dolls and candy bars. Sixty percent of customers who buy a Barbie doll buy one of three types of candy bars. Walmart Kids come along for errands. Pop-Tarts before a hurricane. Prehurricane, Strawberry Pop-Tart sales increased about sevenfold. Walmart In preparation before an act of nature, people stock up on comfort or nonperishable foods. Staplers reveal hires. The purchase of a stapler often accompanies the purchase of paper, waste baskets, scissors, paper clips, folders, and so on. A large retailer Stapler purchases are often a part of a complete office kit for a new employee. Higher crime, more Uber rides. In San Francisco, the areas with the most prostitution, alcohol, theft, and burglary are most positively correlated with Uber trips. Uber “We hypothesized that crime should be a proxy for nonresidential population.…Uber riders are not causing more crime. Right, guys?” Mac users book more expensive hotels. Orbitz users on an Apple Mac spend up to 30 percent more than Windows users when booking a hotel reservation. Orbitz applies this insight, altering displayed options according to your operating system. Orbitz Macs are often more expensive than Windows computers, so Mac users may on average have greater financial resources. Your inclination to buy varies by time of day. For retail websites, the peak is 8:00 PM; for dating, late at night; for finance, around 1:00 PM; for travel, just after 10:00 AM. This is not the amount of website traffic, but the propensity to buy of those who are already on the website. Survey of websites The impetus to complete certain kinds of transactions is higher during certain times of day. Your e-mail address reveals your level of commitment. Customers who register for a free account with an Earthlink.com e-mail address are almost five times more likely to convert to a paid, premium-level membership than those with a Hotmail.com e-mail address. An online dating website Disclosing permanent or primary e-mail accounts reveals a longer-term intention. Banner ads affect you more than you think. Although you may feel you've learned to ignore them, people who see a merchant's banner ad are 61 percent more likely to subsequently perform a related search, and this drives a 249 percent increase in clicks on the merchant's paid textual ads in the search results. Yahoo! Advertising exerts a subconscious effect. Companies win by not prompting customers to think. Contacting actively engaged customers can backfire—direct mailing financial service customers who have already opened several accounts decreases the chances they will open more accounts (more details in Chapter 7).
Eric Siegel (Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die)
Sports are among the increasingly rare moments of totally unscripted television. The human element informs everything, in confounding and inconsistent ways. And since these are only games, and since all games are ultimately exhibitions, the stakes are always low. Any opinion is viable. Any argument can be made. It’s a free, unreal reality. Yet everything about the trajectory of analytics pushes us away from this. The goal of analytics is to quantify the non-negotiable value of every player and to mathematically dictate which strategic decisions present the highest likelihood of success; the ultimate goal, it seems, would be to predict the exact score of every game before it happens and to never be surprised by anything. I don’t see this as an improvement. The problem with sports analytics is not that they are flawed; the problem is that they are accurate, to the benefit of almost no one. It’s being right for the sake of being right, in a context where there was never any downside to being wrong. The fact that my twelve-year-old self would have loved this only strengthens my point.
Chuck Klosterman (But What If We're Wrong?: Thinking about the Present as If It Were the Past)
the cyclists who have always struck me as most worthy of emulation were not those who were analytical and data-driven, but rather those who used the sport as a medium upon which to impose their own style and character – in Nietzsche’s terms, those who used cycling to ‘become what they already are.
James Hibbard (The Art of Cycling: Philosophy, Meaning, and a Life on Two Wheels)
For the prediction of football matches, it is possible to use Bet9ja vip, that is, to provide a data analysis program with as much information as possible and variables that allow a prediction to be made that is closest to the actual result. They are bookmakers, sports television channels, sports newspapers, sections of this area of printed and digital newspapers, and the same soccer teams, who make predictions of football matches and tournaments using Bet9ja vip and analytical programs, through the use of a predictive mathematics that is based on a very extensive menu of data that is processed once obtained. The data used are the variables that combine to define possible outcomes: team history, evaluation and soccer background of each player, statistics of wins and losses, results of teams as visitors and locals, technical, mental and emotional evaluation of each player, figures of results with teams that a team will face, strategies and tactics with which it has won and lost, climatic variables of the places where it is played, characteristics of each stadium including the behaviour of the people, political and economic variables of the countries where a team will play (in case of international games), among others. The combination of these variables makes it possible to predict football matches and tournaments, in particular of a football world cup where 32 teams face each other and where it is possible to apply the stated variables with a margin of error of approximately 20%; that is to say, that the use of Bet9ja vip to predict a Football Tournament has between 70% and 80% probability of hitting. All in all, the variables of a match and an international soccer tournament, the most important on the planet, that is, a World Cup, are so wide and diverse that we are only in conditions -from Bet9ja vip, analysis programs and even Machine Learning- to partially predict them. So to the question: is it possible to predict who will be the World Cup champion? we can answer that not absolutely and safely, and yes in a tendential and approximate manner; that is, if we use the Bet9ja vip correctly to predict each of the matches of the Tournament and predict who will be the champion of the same, we have between 70% and 80% margin to avoid mistakes. Therefore, when placing your bets, even when you rely on Bet9ja vip to perform them, bear in mind that there are variables that cannot be predicted, so there is no science that predicts with complete certainty their behaviour; finally human actions, in particular a game like soccer, are full of surprises and contingencies that we cannot control or predict yet.
bet9ja vip soccer predictions
…American men actually engage most in hunting and fishing. The desire of men in wealthy societies to re-create the food-gathering conditions of very primitive people appears to be an appropriate comment on the power of the hunting drives discussed earlier. Not only is hunting expensive in many places – think of the European on safari in Africa – but it is also time-consuming, potentially dangerous, and frequently involves considerable personal discomfort. Men do it because it is ‘fun’. So they say, and so one must conclude from their persistent rendition of the old pattern. What is relevant from our point of view is that hunting, and frequently fishing, are group activities. A man will choose his co-hunters very carefully. Not only does the relative intimacy of the hunt demand some congeniality, but there is also danger in hunting with inept or irresponsible persons. It is a serious matter, and even class barriers which normally operate quite rigidly may be happily breached for the period of the hunt. Some research on hunters in British Columbia suggests the near-piety which accompanies the hunt; hunting is a singular and important activity. One particular group of males takes along bottles of costly Crown Royal whisky for the hunt; they drink only superior whisky on this poignant re-creation of an ancient manly skill. But when their wives join them for New Year's celebrations, they drink an ordinary whisky: the purely formal and social occasion does not, it seems, merit the symbolic tribute of outstanding whisky. Gambling is another behaviour which, like hunting and sport, provides an opportunity in countless cultures for the weaving of and participation in the web of male affiliation. Not the gambling of the London casino, where glamorous women serve drinks, or the complex hope, greed, fate-tempting ritual, and action of the shiny American palaces in Nevada, and not the hidden gambling run by racketeers. Rather, the card games in homes or small clubs, where men gather to play for manageable stakes on a friendly basis; perhaps – like Jiggs and his Maggie – to avoid their women, perhaps to seek some money, perhaps to buy the pleasant passage of time. But also to be with their friends and talk, and define, by the game, the confines of their intimate male society. Obviously females play too, both on their own and in mixed company. But there are differences which warrant investigation, in the same way that the drinking of men in groups appears to differ from heterosexual or all-female drinking; the separation of all-male bars and mixed ones is still maintained in many places despite the powerful cultural pressures against such flagrant sexual apartheid. Even in the Bowery, where disaffiliated outcast males live in ways only now becoming understood, it has been noted that, ‘There are strong indications that the heavy drinkers are more integrated and more sociable than the light. The analytical problem lies in determining whether socialization causes drinking or drinking results in sociability when there is no disapproval.’ In the gentleman's club in London, the informally segregated working man's pub in Yorkshire, the all-male taverns of Montreal, the palm-wine huts of west Africa, perhaps can be observed the enactment of a way of establishing maleness and maintaining bonds which is given an excuse and possibly facilitated by alcohol. Certainly, for what they are worth in revealing the nature of popular conception of the social role of drinking, advertisements stress the manly appeal of alcohol – particularly whisky – though it is also clear that there are ongoing changes in the socio-sexual implications of drinking. But perhaps it is hasty to regard the process of change as a process of female emancipation which will culminate in similarity of behaviour, status, and ideals of males and females. The changes are still too recent to warrant this. Also, they have been achieved under sufficiently self-conscious pressure...
Lionel Tiger (Men in Groups)
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Miguel Rubio Mortgage
You can read Moneyball as a testament to the analytical awakening in American sports, but you can also read it as a celebration of the irreversible integration of finance ideals and sports strategies. You can read it as a manual for integrating the ideological insights of finance capitalism into a front office, but you can also read it as evidence that our culture’s outrageous mania for computation, quantification, and efficiency is now striding alongside our favorite athletes on the playing surfaces of Fenway Park and Madison Square Garden. Make no mistake, this mania has always been there, but in post-Moneyball America, computation, quantification, and efficiency have achieved a superstar status like we’ve never seen before.
Kirk Goldsberry (Sprawlball: A Visual Tour of the New Era of the NBA)
That type of analysis could include data from training staffs and coaching staffs, performance data, and medical data.
Benjamin C. Alamar (Sports Analytics: A Guide for Coaches, Managers, and Other Decision Makers)
healthcare can learn a lot from sports,
Dwight McNeill (ANALYTICS FOR HEALTH: A Guide to Strategies and Tools from Business Intelligence, Population Health Management, and Person Centered Health)