Weekend HT FT Fixed Bets Matches
Weekend HT FT Fixed Bets Matches
Fixed Matches Safe Betting Tips
Day: Tuesday Date: 13.09.2022
League: ENGLAND National League South
Match: Ebbsfleet – Braintree
Tip: Over 2.5 Goals
Odds: 1.50 Result: ?:?
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With Weekend HT FT Fixed Bets Matches is about securing positive expected value to make a consistent profit. As part of that process, bettors must consider the influence randomness and luck have on the outcome of any given event. This article looks at whether becoming a profitable bettor is a question of luck or skill. Continue reading to learn more.
The purpose of Squares & Sharps, Suckers & Sharks was to investigate whether and why some bettors are better at making a profit than others. Mirio Mella has previously illustrated how some careers are better suited to becoming successful bettors than others: actuaries, financial traders and professional gamers for example. In this article, however, we will explore more generally whether the ability to succeed in a fixed matches 1×2 betting environment is down to luck or is it a skill that can be acquired.
Luck and the Paradox of Skill
Most of what happens in a 1X2 DRAW FIXED MATCHES is chance. This is not something that sports bettors probably wish to hear. Sure, casino games like roulette and craps are pure games of chance, governed by simple rules of probability. But sports where the probabilities of outcomes are essentially unknown, surely that must offer an opportunity for profitable expectation, right? Yes, technically it does, since it’s possible for some to be better at accessing and processing news and information than others, but in practice it’s really only available for a small proportion of players because of an effect known as the paradox of skill.
The Fixed Matchges 100% Sure
When the business of Weekend HT FT Fixed Bets Matches becomes an arms race between players using ever more sophisticated methods for predicting a sporting outcome, absolute skills may very well improve across the board, but relatively speaking we largely stand still.
Whilst absolute forecasting skills improve, the difference between the best and worst narrows; since betting is a game of skill and luck, if the variance in relative skills has shrunk, consequently the influence of luck is greater. Once you factor in the cost of playing (the bookmaker’s margin) most of us will likely end up in the red in the long run.
Betting robots vs. WEEKEND HT FT FIXED BETS MATCHES
The football prediction service Weekend HT FT Fixed Bets Matches offers a useful means of demonstrating the randomness in betting ht/ft fixed match single bet. Simultaneously running 40,000 soccer prediction daily tips 1×2 robots for the total goals betting market, you can get guaranteed return on your investment.
“Statistically, there are always big losers and big winners in that group. Our prediction software enables you to follow those few winners with win rates above 70%”
A couple of years ago I decided to analyse the distribution of performances of these robots over a 5-week period. This is what it looked like.
Essentially there was no difference between what the robots were doing and a random coin toss. The idea that you could choose to follow one of the Weekend HT FT Fixed Bets Matches performing rand expect it to continue to perform in the same way is complete nonsense. There is no consistency whatsoever between the performance over one 5-week period and the next. Robot success rates simply regress to the mean. Everything that happens is pure chance.
Winning fixed matches 1×2 Betting
Real people vs. Chance
Of course, if robots are just randomly picking outcomes to bet on then we can hardly be surprise by this finding. Let’s replace the robots with people. Surely there must be a difference since people don’t pick randomly.
In addition above analysis, I also analysed a large sample of bettors (6,044) posting picks (1,073,029 in total) on the sports betting community Pyckio.com. Analysing performance using the t-score, a statistical measure of how a betting record compares to market expectation based on fixedmatch.bet’s odds, this is how their performances were distributed.
We see a normal distribution in fixed games manipulated betting performances, a sure sign that what you’re looking at is mostly random. Yes, there are good bettors and bad bettors, but their distribution closely resembles what we would find if we simply had them tossing coins to decide what they were going to MANIPULATED FIXED MATCHES on; even though each would all tell you how sophisticated their forecasting approach is.
As a further demonstration
Rather than being good or bad, most of the bettors analysed are merely lucky or unlucky. As a further demonstration, I divided the records of the 249 bettors with histories longer than 1,000 picks into two halves and correlated their performances in the first half with the second.
Manipulated fixed matches betting football
If bettors were demonstrating evidence of skill beyond luck, performances should typically remain consistent. That is to say, if a skilled bettor shows a t-score of 3 on his first 500 bets, we should typically expect him to show something like 3 for his next 500 bets. This is how those correlations looked in a scatter plot.
An R2 of 0.0019 means that just 0.19% of the variation in the second half performance of these 249 bettors could be explain by the variation in the first half performance. The implication is that all the rest is explain by chance. Collectively, these bettors were not demonstrating consistent performances; like Botprediction’s robot they were largely just regressing to the mean. This is not to argue that there were no skilled bettors at all; rather, what few there might have been were hidden amongst the noise of chance.
The WEEKEND HT FT FIXED BETS MATCHES continuum
In his book The Success Equation: Untangling Skill and Luck in Business, Sports, and Investing, Michael Mauboussin defines a luck-skill continuum on which sits various activities. At the extreme luck end, we find things like roulette and lotteries. At the other end are games of pure skill like chess. Most team sports are found somewhere in the middle.
Generally speaking the lower scoring the sport and the greater the number of players participating, the greater the role of luck. What about gambling? Mauboussin places things like investing, betting and poker much closer to the luck end than the skill end. The distribution of bettors’ performances shown above would seem to support his decision.
Real fixed match sure win bets
The environment of skill
Typically the acquisition of expertise or skill follows what is termed as ‘Naturalistic Decision Making’, where chunks or patterns of data are memorise and recall periodically through prolong practice and feedback. For this to be effective, the environment should be sufficiently regular and stable to be predictable, allowing cause and effect to be meaningfully connect. Clearly such an environment of skill exists for things like learning to play chess or tennis. Can the same be said for sports betting?
The problem of acquiring skills in forecasting lies in the fact that in manipulated fixed odds winning betting we are not necessarily rewarded for doing so. It may be true that the more time and effort I devote to forecasting sporting outcomes the better I will get at it. But skill in sports betting is not simply a matter of picking winners; rather, it’s about whether we’re better at picking them than everyone else.
As the paradox of skill illustrates
As the paradox of skill illustrates, betting amounts to a zero-sum, relative-skills competition. When bettors are competing with each other in a market, the skill that really matters is evaluating whether the available information in the market is already incorporate into the fixed matches 1×2 odds, and being able to do that consistently.
Safe fixed match 1×2 bets
If equally, skill players have pushed the odds to a price that genuinely represents the ‘true’ probabilities of a result (a process known as ‘price discovery’), whether one wins or loses is then simply a matter of chance. If betting markets are mostly efficient, that is to say reflecting the ‘true’ result probabilities, the prospects for outperforming this wisdom of the crowd appears to be severely restrict.
A zero-validity environment?
Validity is a measure of whether what we think is the cause is actually the true cause, and whether our measurement repeatedly points to that conclusion. Collectively, the sports bettors analysed earlier failed basic tests of consistency and validity. This strongly indicates that the environment – the Manipulated fixed matches betting market – within which sports bettors operate is neither regular nor predictable, but instead dominated by luck.
The betting market is complex and mostly random because the news that drives the movement of odds arrives to the market randomly. If it wasn’t random then it wouldn’t be news. Such randomness breaks the link between cause (something the bettor does to bring about an increase in his bankroll) and effect (an actual increase in the bettor’s bankroll).
Fixed Bets winning matches 100% Sure
The Weekend HT FT Fixed Bets Matches between the above is that there is limit scope for feedback. Since feedback is the oil that drives the machinery of deliberate practice, accumulating playing experience in a betting market will be unlikely to deliver much expertise – to put this into perspective, imagine trying to practice a game of roulette.
Similarly in betting the price discovery process that is implicit in the balancing of opinions about a sporting outcome, necessarily means that establishing causal relationships between decisions and outcomes is more akin to guesswork. Daniel Kahneman, Nobel prize winner and author of Thinking, Fast & Slow describes this as a zero validity environment. Of course, none of this alters the perception of most bettors that the profits they experience were cause by things that they did. Such SURE FIXED MATCHES TOMORROW (one of the many reasons for why we gamble) is manifestly the product of GUARANTEED PROFITS FIXED MATCHES.