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Sports Betting Systems
Sports betting systems are sets of events that when combined for a particular game for a particular sport represent a profitable betting scenario. Since sports betting involves humans, there is no deterministic edge to the house or the gambler. Systems supposedly allow the gambler to have an edge or an advantage. Sportsbooks use systems in their analysis to set more accurate odds. Therefore, the novice gambler may believe that using a system will always work, but it is the general consensus that at some point the oddsmakers will have adjusted for the system to make it no longer profitable. Very short-lived systems are called trends. Any single event that estimates a selection to have a higher likelihood of winning is called an angle as they are meant to be used in conjunction with other angles and trends to produce systems. Overview Systems can be deceiving. Any sample space can be constrained enough with meaningless criteria to create the illusion of a profitable betting syste ...
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Sports Betting
Sports betting is the activity of predicting sports results and placing a wager on the outcome. The frequency of sports bet upon varies by culture, with the vast majority of bets being placed on association football, American football, basketball, baseball, hockey, track cycling, auto racing, mixed martial arts, and boxing at both the amateur and professional levels. Sports betting can also extend to non-athletic events, such as reality show contests and political elections, and non-human contests such as horse racing, greyhound racing, and cockfighting. It is not uncommon for sports betting websites to offer wagers for entertainment events such as the Grammy Awards, the Oscars, and the Emmy Awards. Sports bettors place their wagers either legally, through a bookmaker/sportsbook, or illegally through privately run enterprises referred to as "bookies". The term "book" is a reference to the books used by wage brokers to track wagers, payouts, and debts. Many legal sportsbooks a ...
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Sabermetrics
Sabermetrics, or originally SABRmetrics, is the empirical analysis of baseball, especially baseball statistics that measure in-game activity. Sabermetricians collect and summarize the relevant data from this in-game activity to answer specific questions. The term is derived from the acronym SABR, which stands for the Society for American Baseball Research, founded in 1971. The term "sabermetrics" was coined by Bill James, who is one of its pioneers and is often considered its most prominent advocate and public face. Early history Henry Chadwick, a sportswriter in New York, developed the box score in 1858. This was the first way statisticians were able to describe the sport of baseball by numerically tracking various aspects of game play. The creation of the box score has given baseball statisticians a summary of the individual and team performances for a given game. Sabermetrics research began in the middle of the 20th century with the writings of Earnshaw Cook, one of the ea ...
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Arbitrage Betting
Betting arbitrage ("sure bets", sports arbitrage) is an example of arbitrage arising on betting markets due to either bookmakers' differing opinions on event outcomes or errors. When conditions allow, by placing one bet per each outcome with different betting companies, the bettor can make a profit regardless of the outcome. Mathematically, arbitrage occurs when there are a set of odds, which represent all mutually exclusive outcomes that cover all state space possibilities (i.e. all outcomes) of an event, whose implied probabilities add up to less than 1. In the bettors' slang an arbitrage is often referred to as an arb; people who take advantage of these arbitrage opportunities are called arbers. Background Arbitrage betting involves relatively large sums of money, given that 98% of arbitrage opportunities return less than 1.2%. The practice is usually detected quickly by bookmakers, who typically hold an unfavorable view of it, and in the past this could result in half of an a ...
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Virtual Sports
Virtual Sports are electronic games that generate visual feedback on a display device. Inspired by real sports these games originated from fantasy sports that were drawn using paper and pencil. The use of computers has transformed these fantasy sports from being mostly played by a group of friends or acquaintances in a local community to potentially being anonymously played from around the world. The first time Virtual Sports were used on a computer was in 1961, in an early form of fantasy baseball coded for an IBM 1620 computer by John Burgeson. It allowed two teams to play one another using random number generation and player statistics to determine a game's outcome, including a play-by-play description. The game was coded for a computer with only 20 KB in computer memory and was entirely self-contained. Modern computers with motion capture technologies can produce more complex sports animations. The term ''virtual sports'' is often used to describe software simulations of s ...
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Sports Betting
Sports betting is the activity of predicting sports results and placing a wager on the outcome. The frequency of sports bet upon varies by culture, with the vast majority of bets being placed on association football, American football, basketball, baseball, hockey, track cycling, auto racing, mixed martial arts, and boxing at both the amateur and professional levels. Sports betting can also extend to non-athletic events, such as reality show contests and political elections, and non-human contests such as horse racing, greyhound racing, and cockfighting. It is not uncommon for sports betting websites to offer wagers for entertainment events such as the Grammy Awards, the Oscars, and the Emmy Awards. Sports bettors place their wagers either legally, through a bookmaker/sportsbook, or illegally through privately run enterprises referred to as "bookies". The term "book" is a reference to the books used by wage brokers to track wagers, payouts, and debts. Many legal sportsbooks a ...
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Statistical Association Football Predictions
Statistical Football prediction is a method used in sports betting, to predict the outcome of football matches by means of statistical tools. The goal of statistical match prediction is to outperform the predictions of bookmakers, who use them to set odds on the outcome of football matches. The most widely used statistical approach to prediction is ranking. Football ranking systems assign a rank to each team based on their past game results, so that the highest rank is assigned to the strongest team. The outcome of the match can be predicted by comparing the opponents’ ranks. Several different football ranking systems exist, for example some widely known are the FIFA World Rankings or the World Football Elo Ratings. There are three main drawbacks to football match predictions that are based on ranking systems: # Ranks assigned to the teams do not differentiate between their attacking and defensive strengths. # Ranks are accumulated averages which do not account for skill ch ...
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American Football
American football (referred to simply as football in the United States and Canada), also known as gridiron, is a team sport played by two teams of eleven players on a rectangular field with goalposts at each end. The offense, the team with possession of the oval-shaped football, attempts to advance down the field by running with the ball or passing it, while the defense, the team without possession of the ball, aims to stop the offense's advance and to take control of the ball for themselves. The offense must advance at least ten yards in four downs or plays; if they fail, they turn over the football to the defense, but if they succeed, they are given a new set of four downs to continue the drive. Points are scored primarily by advancing the ball into the opposing team's end zone for a touchdown or kicking the ball through the opponent's goalposts for a field goal. The team with the most points at the end of a game wins. American football evolved in the United S ...
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Correlation Does Not Imply Causation
The phrase "correlation does not imply causation" refers to the inability to legitimately deduce a cause-and-effect relationship between two events or variables solely on the basis of an observed association or correlation between them. The idea that "correlation implies causation" is an example of a questionable-cause logical fallacy, in which two events occurring together are taken to have established a cause-and-effect relationship. This fallacy is also known by the Latin phrase ''cum hoc ergo propter hoc'' ('with this, therefore because of this'). This differs from the fallacy known as ''post hoc ergo propter hoc'' ("after this, therefore because of this"), in which an event following another is seen as a necessary consequence of the former event, and from conflation, the errant merging of two events, ideas, databases, etc., into one. As with any logical fallacy, identifying that the reasoning behind an argument is flawed does not necessarily imply that the resulting co ...
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Dependent And Independent Factors
A dependant is a person who relies on another as a primary source of income. A common-law spouse who is financially supported by their partner may also be included in this definition. In some jurisdictions, supporting a dependant may enable the provider to claim a tax deduction. In the United Kingdom, a full-time student in higher education who financially supports another adult may qualify for an Adult Dependant's Grant. Taxation In the US, a taxpayer may claim exemptions for their dependants. See also * Military dependent A military, also known collectively as armed forces, is a heavily armed, highly organized force primarily intended for warfare. It is typically authorized and maintained by a sovereign state, with its members identifiable by their distinct ... References {{reflist Interpersonal relationships ...
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Multivariate Linear Regression
The general linear model or general multivariate regression model is a compact way of simultaneously writing several multiple linear regression models. In that sense it is not a separate statistical linear model. The various multiple linear regression models may be compactly written as : \mathbf = \mathbf\mathbf + \mathbf, where Y is a matrix with series of multivariate measurements (each column being a set of measurements on one of the dependent variables), X is a matrix of observations on independent variables that might be a design matrix (each column being a set of observations on one of the independent variables), B is a matrix containing parameters that are usually to be estimated and U is a matrix containing errors (noise). The errors are usually assumed to be uncorrelated across measurements, and follow a multivariate normal distribution. If the errors do not follow a multivariate normal distribution, generalized linear models may be used to relax assumptions about Y ...
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Statistical
Statistics (from German: '' Statistik'', "description of a state, a country") is the discipline that concerns the collection, organization, analysis, interpretation, and presentation of data. In applying statistics to a scientific, industrial, or social problem, it is conventional to begin with a statistical population or a statistical model to be studied. Populations can be diverse groups of people or objects such as "all people living in a country" or "every atom composing a crystal". Statistics deals with every aspect of data, including the planning of data collection in terms of the design of surveys and experiments.Dodge, Y. (2006) ''The Oxford Dictionary of Statistical Terms'', Oxford University Press. When census data cannot be collected, statisticians collect data by developing specific experiment designs and survey samples. Representative sampling assures that inferences and conclusions can reasonably extend from the sample to the population as a whole. An ex ...
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Regression Analysis
In statistical modeling, regression analysis is a set of statistical processes for estimating the relationships between a dependent variable (often called the 'outcome' or 'response' variable, or a 'label' in machine learning parlance) and one or more independent variables (often called 'predictors', 'covariates', 'explanatory variables' or 'features'). The most common form of regression analysis is linear regression, in which one finds the line (or a more complex linear combination) that most closely fits the data according to a specific mathematical criterion. For example, the method of ordinary least squares computes the unique line (or hyperplane) that minimizes the sum of squared differences between the true data and that line (or hyperplane). For specific mathematical reasons (see linear regression), this allows the researcher to estimate the conditional expectation (or population average value) of the dependent variable when the independent variables take on a give ...
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