Pinnacle

블랙잭 사이드 베팅이란 무엇인가요? 사이드 베팅은 플레이어나 딜러 중 누가 승리하는가에 상관없이 블랙잭 라운드 결과에 하는 보너스 베팅입니다. 대부분은 정규 베팅과 함께 라운드 시작 시 카드 딜링이 되기 전에 진행되며, 딜러에게 승리했을 경우 받는 단순한 2:1의 배당률과는 달리 더 큰 고정 배당률을 갖고 있습니다. 어떤 종류의 블랙잭 사이드 베팅이 있나요? 블랙잭에 적용할 수 있는 사이드 베팅은 대단히 많지만, 가장 대중적인 것은 다음과 같습니다. 인슈어런스 베팅 플레이어는 딜러의 앞면 카드가 에이스이고 블랙잭이 나올

Pinnacle 카지노에서 블랙잭 플레이하기

사이드 베팅은 블랙잭 게임을 더욱 흥미롭게 만들 방법을 제시하는 건 물론, 승리할 방법도 더욱 많이 제공합니다. 그렇다면 과연 사이드 베팅이란 무엇이고, 어떤 사이드 베팅이 있으며 그 가치는 어느 정도일까요? 다음 글을 읽으면서 알아보세요.

블랙잭 사이드 베팅 설명

베팅에서 틈새시장을 찾는 것은 종종 가치로 연결됩니다. 이것은 핸드볼 베팅의 전문 지식부터 일본 야구 베팅에서 확장된 경험을 갖고 있는 것까지 다양합니다. 북메이커보다 더 많은 것을 알고 있다는 전제가 있어야 수익이 발생합니다.  최고의 베팅 조언과 통계를 받아보세요 최신 전문 기사를 읽고 베팅 실력을 키우세요. Pinnacle 팔로우하기  코너킥 베팅은 왜 할까요?  최근 축구 코너킥 베팅이 점점 인기를 얻고 있습니다.

축구 배당률

자신의 축구 베팅 배당률을 형성하기 위해 충분한 데이터를 수집하지 않는 북메이커를 찾기란 힘들겠지만, 기본적인 1X2와 핸디캡 시장에서 벗어나는 것은 차이를 활용할 기회가 될 수 있습니다. 다음을 읽고 코너킥 베팅에서 얻을 수 있는 이점을 알아보세요.

축구 코너킥 베팅: 덜 알려진 시장의 가치

푸아송 분포는 평균을 전체 분포에 걸친 다양한 결과의 확률로 변환하는 수학적인 개념입니다. 예를 들어, Manchester City는&nbsp;경기당 평균 1.7골을 기록하므로 푸아송 분포 공식에 입력하면 Manchester City의 평균 득점 확률은 0골일 확률이 18.3%, 1골일 확률이 31%, 2골일 확률이 26.4%, 3골일 확률이 15%로 계산됩니다. 푸아송 분포 - 최종 점수 확률&nbsp;계산 가장 가능성이 높은 최종 점수를 계산하는 데 푸아송을 사용하기 전에 먼저 각 팀이 해당 시합에서 득점할 것으로 예상되는 평균 골 수를 계산해야 합니다. 이는 각

푸아송 분포는 과거 데이터와 함께 사용하면 축구 경기에서 가장 발생 가능성이 높은 점수 결과를 간단하고 믿을 수 있는 방법으로 계산하여 베팅에 적용할 수 있습니다. 이 간단한 단계에서는 푸아송 분포 값을 생성하는 데 필요한 공격력/방어력 척도를 손쉬운 방법으로 계산하는 방법을 보여줍니다. 곧 푸아송 분포를 사용해 축구 점수를 예측할 수 있게 될 겁니다.

푸아송 분포: 축구 베팅 점수 예측

  기대값 플레이어가 동일한 배당률로 여러 번 베팅을 신청한 경우 승패를 예상할 수 있는 금액입니다. 단순한 식으로 계산되며, 이길 확률과 베팅당 이길 수 있는 금액을 곱한 값에서 질 확률과 베팅당 잃는 금액을 곱한 값을 뺍니다.  용어►   기대값(EV)의 간단한 예를 살펴보겠습니다. 동전 던지기에서&nbsp;앞면에 $10를 베팅하고, 이를 맞출 때마다 $11를 받기로 한 경우 EV는 0.5가 됩니다. 이는 앞면에 대해 동일한 베팅을 계속하는 경우, $10를 베팅할

베팅의 기대값은 베팅당 평균적으로 얼마만큼의 금액을 기대할 수 있는지를 나타내며, 이는 베터가 북메이커 배당률을 비교할 때 가장 유용하게 쓸 수 있는 계산법입니다. 스포츠 베팅에서 승률을 예측하려면 기대값을 어떻게 계산하나요? 다음 글을 읽으며 알아보세요.

기대값 계산 방법

Joseph는 웹사이트 www.Football-Data.co.uk를 운영하며 역사적 결과, 경기 통계와 베팅 배당률 데이터를 제공하는 베팅 애널리스트입니다. 그는 정해진 스포츠 베팅 배당률: 통계적 전망과 위기 관리(2003), 석탄 저장고에서 검은 고양이 찾기: 스포츠 조언가의 진실(2013) 그리고 둔감한 자와 예리한 자, 속는 자와 따는 자: 도박의 과학, 심리학 그리고 철학(2016)의 저자이기도 합니다.

Joseph Buchdahl

<h3>What is ROI (Return on Investment)?</h3>

The answer to this is not simple. It is not a vague question with no clear answer, but there are a few things to consider.

First of all, the more you bet and the larger the bet amount, the larger your absolute profit (or loss) can be. It would be useful to create a benchmark to compare different bets using different bet counts and bet amounts.

It is clear that each bettor makes a different bet. The commonly used metric is Return On Investment (ROI), expressed as a percentage. Sometimes it is called Profit Over Turnover (POT) or Return on Investment. These terms are essentially the same.

ROI is simply calculated by dividing the total amount a bettor wins by the total amount wagered.

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	<li><a href="/betting-resources/ko/betting-strategy/risk-of-ruin/ufxjcvbv4h53swhz" id="articleLink" style="color: #f50;" target="_blank">Read: Understanding and Analyzing Failure Risks</a></li>
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If a bettor wagers $1,000 in multiple bets and ends up with $1,050 after winning and losing, the ROI would be $1,050/$1,000 = 1.05 or 105%. The net profit would be $50, so the return on sales would be $50/$,1000 = 0.05 or 5%.

Also called yield. The relationship between these two indicators is as follows: POT = ROI – 1 (or 100%). Using indicators like ROI or POT, you can naturally compare bettors with different bet amounts or bet counts.

One bettor could make $600 after 500 bets of $1 on every bet, making a 120% ROI (POT = 20%). Another bettor could make 10,000 bets of $1,000 on every bet, making only $12 million with the same ROI (POT).

Of course, the second bettor will have a much higher absolute return, but you can compare the degree of success (achieved through skill or luck) through ROI(POT).

<h3>Betting period</h3>

Does a 120% ROI mean the same thing? No, and there are two reasons why.

<blockquote>Sports bettors can replace bias with technology.</blockquote>

The first element is the betting period, which is expressed in the number of bets, not the time. All bets are subject to the laws of probability, just like coin tossing. If you flip a coin 10 times and it lands on heads 6 times, can you say that the probability of the coin landing on heads is biased?

Obviously not. On the other hand, if you flipped a coin 1,000 times and got heads 600 times, you would know that the results were biased unless you were an idiot. The longer the record, the more likely it is that factors other than probability will cause deviations from the expected results.

In the case of a coin toss, we would say that the coin is biased. As sports bettors, we can replace bias with skill.

To explain this in more detail, let’s look at two bets. In both cases, the odds are 2.00, they are fair (no bookmaker margin) and the probability of winning is 50%. In both cases, the bettor’s return on investment is 105% (5% return).

The only difference is the time period. The first bettor bet 250 times and the second bettor bet 2,500 times. The chart below shows the range of outcomes that each bettor can experience with no skill and only luck (probability). 
<img alt="ROI-1.png" height="490" src="/sites/default/files/media-image/ROI-1.png" title width="450" loading="lazy">

The probability range of the first bettor (250 bets) is shown by the blue curve. Their actual return (5%) is shown by the black vertical line. Look at the area under the blue curve to the left and right of the black line.

That size is equal to the probability that it will exceed or fall below the actual 5% return (105% ROI).

The area on the right is about 21.5% of the total area under the blue curve, meaning that if this bettor had been lucky, there is a 21.5% chance that he would have performed better than his actual performance. It is hard to say that this bettor has good skill.

The probability range for the second bettor, who made 2,500 bets, is shown by the orange curve. Here again he made a 5% return (105% ROI), but the probability of doing better is much lower, less than 1%.

You could say you were lucky, but it's much harder than the first bet. In fact, you could argue that other factors than luck influenced the actual results for the second bet.

If Better didn't cheat, then it would obviously be because he had good skills.

So now we have identified the first factor that determines a good ROI. In this example, the two ROIs are the same, but we can more defensively say that the second bettor got his result through skill rather than just luck.

Luck eventually runs out. Only skill can continue to generate future profits.

If two bettors have the same return, all other factors being equal, the bettor with the longer record is the better bettor.

<h3>The impact of betting odds</h3>

All other factors being equal, the most obvious difference between bettors with different betting tendencies is the betting odds. We can compare two bettors with different odds, just as we did with the betting period.

Asian handicap bettors or American point spread bettors typically bet at odds close to 2.000.

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	<li><a href="/betting-resources/ko/betting-strategy/how-good-are-pinnacles-asian-handicap-markets/zm62p4gdr62ngx8n" id="articleLink" style="color: #f50;" target="_blank">Read: How good are Pinnacle’s Asian Handicap markets?</a></li>
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In contrast, horse racing experts predicting the winner will have an average odds of over 10,000. Intuitively, what do we expect to see? Let's take a look.

Both bettors in the picture have a history of 2,500 bets. The possible outcomes, as defined by probability theory, are again shown by the blue curve (odds = 10,000) and the orange curve (odds = 2,000). 
<img alt="ROI-2.png" height="350" src="/sites/default/files/media-image/ROI-2.png" title="ROI-Impact" width="500" loading="lazy"> 
&nbsp;

Look again at the areas under the curves to the left and right of the 5% yield line.

<blockquote>Higher odds bets can yield more positive returns.</blockquote>

The period of record is the same, but the bettor has a much higher chance of making a 5% return (without skill) when he bets at odds of 10. This is simply because low probability events are more influenced by luck.

Betting on higher odds will give you a better return on your investment (yield) if you are lucky, but conversely, if you are unlucky, you will get worse results, as you can see in the image above.

In fact, to match a 5% (or greater) return on a 2.000 bet, a bettor betting at 10.000 odds would have to increase the number of bets by around 22,000!

Now we know the second factor that determines a good ROI. All things being equal, if the second bettor has the same return, the bettor who gets the same result at lower odds is the better bettor.

The conclusion we can draw from this is that among bettors with the same skill, a bettor who bets at higher odds is expected to have a better return on investment (ROI) than a bettor who bets at lower odds. The return may be greater, but that does not necessarily indicate better skill.

Comparing the returns of two bettors to find evidence of skill is not a fair comparison unless you take into account the betting odds (and the length of the bet).

<h3>Probability as a means of measuring betting skill</h3>

Now let’s go back to the first question: What makes a good ROI? We now know that the quality of the ROI (or return) is affected by the betting period and the size of the betting odds.

When analyzing these two factors, we consider the probability of a particular outcome within the range of possible outcomes.

If so, comparing probabilities would be a better way to compare the performance of two bettors than simply comparing ROIs, because the probability of a particular outcome occurring is a meaningful criterion for evaluating a bettor's fundamental ability.

This will help us better understand what kind of ROI we can expect from bettors using different odds.

I evaluated the probability of getting the result by chance at 10%, 1% and 0.1% using the two charts below.

As explained above, if the probability of an outcome occurring purely by chance (luck) is low, we can be more confident that chance is not the only factor influencing the outcome.

However, it is important to understand that these probability figures do not assess the skill of a bettor as 90%, 99%, or 99.9%. This is a purely qualitative relationship, not a quantitative one. 
<img alt="ROI-3.png" height="350" src="/sites/default/files/media-image/ROI-3.png" title width="500" loading="lazy"> 
&nbsp;

The first chart shows the typical odds that are found in most sports betting markets and are preferred by many sports bettors.

For example, we see that for a bettor who gets an outcome that has a 1% chance of occurring by chance (red line), the expected return for odds of 1.5 is about 5% (ROI = 105%).

A bettor with similar skill can expect a return of more than 10% when betting at 3.000 odds.

An extension of this relationship to higher odds is shown in the second diagram (below) and applies to markets where more players are involved in the game, such as golf and horse racing markets where the winner is predicted. 
<img alt="ROI-4.png" height="350" src="/sites/default/files/media-image/ROI-4.png" title width="500" loading="lazy"> 
&nbsp;

The same bettor betting at odds of 20.000 could expect a return of more than 35% (ROI = 135%).

In conclusion, if a bettor betting at such high odds does not make such a high profit, then he is not as skilled as a bettor betting at low odds and will remain on the odds-return curve below the red line.

To put it another way, you are 10 times more likely to get a 15% return at 5,000 odds than you are to get a 15% return at 3,000 odds, and 10 times more likely to get a 14,000 odds than that.

<h3>conclusion</h3>

Not all ROIs are equal in betting. Just because one bettor has twice as much ROI as another, it doesn’t mean he is a more skilled bettor. Higher returns can be expected not only with shorter betting periods, but also with higher odds.

Higher returns may feel good in the short term, but ultimately it is the skill level of the bettor that determines the sustainability of the odds.

In this article, we will delve a little deeper into the concept of probability and hopefully give you a better understanding of what makes for a good ROI.

If you want to learn more about the math behind this concept, Joseph Buchdhal's recent book <a href="/betting-resources/ko/educational/monte-carlo-or-bust-book-review/sha274ccu45t7n7b">Monte Carlo or Bust: Simple Simulations for Aspiring Sports Bettors</a> may be helpful. <a href="https://bit.ly/3sbs8Ec" target="_blank">Join</a> Pinnacle and take advantage of great odds with low margins.

<h3>Pinnacle Big Bet</h3>

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	<li><a href="https://www.pinnacle.com/ko/pinnacle-big-bet-playoffs" id="articleLink" style="color: #f50;" target="_blank">Join the Pinnacle Big Bet Leaderboard</a></li>
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베팅은 언제 가치가 있을까요? 베팅에서 몇 번 실패하더라도 좋은 수익을 거둘 수 있을까요? Joseph Buchdhal가 스포츠 베팅에서 좋은 투자수익률을 거두기 위해 무엇이 필요한지 알려드릴 것입니다.

스포츠 베터에게 가장 중요한 과제는 처음에 베팅을 시작한 돈보다 많은 돈을 갖고 끝내는 것입니다. 어느 누구도 모든 베팅에서 이길 수는 없습니다. 하지만 패배한 베팅을 만회할 수 있을 만큼 충분히 승리를 거둔다면 승자의 수익이 패자의 손실보다 클 것입니다. 다시 말해서 전체 수익률이 총 베팅 금액보다 커진다는 것입니다. 그렇다면 과연 좋은 수익률이란 무엇일까요?