Most of us watch wrestling because we enjoy the spectacle, we enjoy the feuds and the stories that are told through them, and we enjoy admiring the skills that wrestlers demonstrate in the ring.

While we’re watching a match, be it on TV or in person, few of us are considering the maths that wrestlers use both in and outside of the ring. Yet, numbers run right through the entire world of wrestling.

Behind the scenes in any game or sport, maths nearly always plays a part. In football, a player needs to accurately estimate the distance between them and the goal, calculate the angle that the ball needs to travel, and understand how hard to kick the ball to get the speed necessary to get it in the right part of the goal. While they may not consciously process trigonometric equations in their heads, they instinctively understand these factors and then convert the instinct into movement in their foot.

The same also happens when playing cards. Games like blackjack require you to add up the values of the cards you’re dealt to make a hand of a certain value. These cards are pulled from a shoe that’s comprised of several 52-card decks. Talented players can sometimes keep a running total of the value of the cards that have already been taken from the shoe, giving them an insight into the likelihood of high or low-value cards being drawn next. They can then use this knowledge to decide whether to hit or stand.

But enough about cards, let’s get back to wrestling.

Rewarding Wrestlers for Their Work

Of course, wrestlers at the highest levels of sport, namely those in the WWE, will use maths as part of their contract negotiations. They’ll want to know how much they’re going to be paid and when. They’ll want to quantify their contractual obligations and rights and rudimentary maths is required as part of this.

In every WWE contract are terms that grant the promoter to book them for events, sell tickets and TV rights, and negotiate merchandising deals. There are sometimes terms that set the number of days they must work and how much they receive as compensation for each day. For example, Ultimate Warrior signed a contract in 1996 that saw him work a minimum of 14 days per month, with additional payments of $2,500 per extra day.

Obviously, this is important as wrestlers want to be paid well for the time they spend working and to be recognised for the value they create for the WWE. Without it, there likely wouldn’t be a WWE, at least not in its current guise.

Keeping Wrestlers Safe

The WWE has developed a brand that is built around thrills and danger, and understandably so since this makes for exciting events and great television. However, performing common wrestling moves like jumping from large stage rigs onto hard surfaces or opponents is inherently dangerous.

That’s where maths comes in. Jeff Hardy is famous for this, regularly walking away unscathed from massive stunts. The only way he can do this is to implement some basic mathematical principles around force and pressure.

You’ll notice that whenever Hardy or other wrestlers fall from heady heights, they land flat, bringing all their body parts into contact with the stage at the same time. This spreads out the force (f) that is exerted on them over a much larger area (a), reducing the pressure (p) that’s applied to them.

If you want the equation for this, it is p=f/a.

Without this equation and the ability to apply the theory while in a fight would make wrestling a lot less entertaining.

Brand Splits and Extensions

In the early 2000s, the WWE split into two separate groups, Smackdown and Raw. For whatever reason, feuds can’t take place across groups, cutting the number of possible combinations in (almost) half.

When the split happened, there were around 60 wrestlers signed to the WWE, with 30 in each group. This meant that there was a total of 435 possible feuds within each group (870 across both).

However, when mixing the two groups together, the number of possible feuds actually increases by more than double to 1770.

Therefore, at least theoretically, merging the two together again could help create more variety and excitement in the WWE.

You have had your share of clickbait articles up to nothing good and not helping you up in any way! You have come across many cheat sheets that are nothing but an advertisement for a casino where you can win big. You have had your share of articles that could have helped you in any way. However, this is not one of them. Over here, together with https://spincastle.com we will discuss how to get you the winning bet every time you are playing. This is meant to give you a way to find the best deals out there.

Las Vegas holds a charming appeal to any gambler as a place where dreams come true! This is a gambler’s paradise with all kinds of games available in attractive displays where thousand are hooked on every day. However, the games such as slot machines, bingo, poker, and so on depend very highly on chance. The chance doesn’t work in your favor, so those are not the games we will discuss here. We will talk about games where you can tip the balance in your favor by getting a core understanding of how chance works that.

This article is not exactly a dummy’s gateway to fortunes and needs some basic understanding of different things. However, it is not altogether too complicated and all you would need a great deal is a great deal of common sense. You can bet through your phones alone and win big, much bigger than Las Vegas! In this article, we will be discussing sports betting, especially how to bet on a football game.

Understanding Probability

Advantage depends upon chance, and it is this “chance” that you have to understand. When you toss a coin, it’ll come out as a head or a tail and there are no other possible outcomes. It will be either of the two and the chance of getting either outcome is 50%. In fact, if you were to try doing this a large number of times, you will experimentally find that the chance of getting either heads or tails is roughly 50:50.

In football, “chance” does not work in this way. Complicated calculations that lead to a forebet determine the outcome of a game mathematically. Another thing about a forebet calculation is that despite how complicated the calculations are, they are never 100% accurate- it’s still a measurement of chance. It is exactly these errors that you will be exploiting to tip the scales in your favor.

No Expertise Required

By this time, you might be wondering that you have to have a great holdover of mathematics and statistics to make such elaborate calculations. What if there was a way out from that too? Yes, you can have someone else do these terrible calculations for you. But can you trust the results? Can you be sure that they are not just random numbers written on a sheet of paper? Yes, you cannot be sure! Some of the forebet calculations that you will find out there are actually farce and of no real significance.

Now, all you need is a tool that will allow you to verify this result. On the Apple Store  you will find an app that provides tools to verify forebet calculations. They introduced a “league predictability” feature that directly implied the forebets and its results. You will also find that real scientists and mathematicians do these calculations for you and can be quite certain that they know what they are dealing with.

Using Forebets

It is very easy to understand how the forebets work. It is a very simple procedure- the first step would be to fix on a forebet from the list available at relevant sites. You should go for the leagues that have high predictability or at least a good one. Once you have chosen the league on which you want to bet on, you have to go to the casino where you want to bet and compare the odds available to you.

You have to look for a bookie who will be providing you odds that are higher than the ones that were predicted. And once you have come across such a bookie, well it is your time to make a bet! This particular kind of bet that you found out is known as a value bet. A value bet is the exact betting advantage that you have. Values that are greater than 5% are the least that you should go for. Your ultimate goal should be to at least be profitable by 10%. Is that your only goal? Yes, it is- that’s exactly how the market runs.

Performance of Mathematicians

It is not mandatory that everyone will come up with the same results. An experiment was conducted where two mathematicians were approached and asked to predict forebets for a few matches. One of these matches was the great Spanish tragedy where Bayern scored 8 goals against 2 goals from Barcelona. What was observed was that the mathematicians themselves came up with different results and had used different formulas. One of the more impressive observations was that their results were different from the ones obtained by the bookie. And none of them were exactly right.

Well, that’s how probability works. You have to be very careful when you are dealing with betting and gambling. The gambling sector is a multi-million dollar international market where so much money is flowing every second. You choose wrong, and you will end up losing everything. You make the right choice; you will get your dreams!

Have you ever wondered about the data science behind sports betting and odds creating? Yes, that’s right… odds, betting and data science are one family. Before we dive into it, there is one necessary knowledge we first have to communicate – explanation what the odds really are.

This is going to be quick and pain-free, so please bear with me… Imagine you roll a dice. There is a 1/6 (16.666%) chance of landing any of the 1-6 numbers and putting that into decimal odds you would get 1/6×100=6,00. So, what are the odds? Odds are just a probability expressed in a betting friendly way.

Is that it? Not really, and together with rowdie.co.uk we are going to look at the complicated part because this is what the experts have to say about it.

There are many sports out there. To make it simpler let’s talk about a sport most of us know, which is indeed football (in the US they use the name soccer). However even within football we have dozens of possible bets (markets) a punter can place. Besides the most common bets like the 3 way result, over/under, HT/FT there are handicaps, first scoring team, correct score, fouls, cards, corners and much more. Calculating probability for those events is not as simple as one might think. The actions such as dice rolling or a coin flip have their probabilities written within their DNA, but this is not the case for football.

Just a practical example. On our page we run a survey asking 50 verified punters to estimate the chances of the Premier League match between Liverpool and Chelsea back in 2019. After we excluded the extremes, there was still a marginal error over 20%.

You might say: Sure, that’s why the bookmakers earn so much… and you have a point with that. So we went further and asked 3 mathematicians to do the same job. Without adding more drama to it, I am going to reveal that the marginal error got only slightly lower and nobody from the experiment would be able to run a company as a bookmaker.

The goal is to distinguish between real data and the noise

All of the participants of our experiment had all the data they needed. They had statistics going 20 years back. They had details about any fixture splitting it into ball possession, shots on/off goal, corners, fouls, passes and dozens more. They could even see the same split for each player. Nothing helped. What did they fail to do? Being slammed with huge amounts of data causes one thing. You try to look everywhere, take into account everything, and fail to focus on what you should be focusing on. This we call the data noise and the main goal of a bookie while creating the odds is to distinguish between real data and the noise.

Ok, how do we do that? Well, if there was a simple answer, bookies wouldn’t be making billions… But I try to answer it. There are 2 main ways to approach the data.

Data analysis based on the past results

What is the most common approach that most of the participants took? The most obvious one. Most of them looked at the past results of each team (the more accurate ones took the head to head statistics), and estimated the count of goals (using mostly arithmetic mean). Some of them went 5 games back, but there were those who decided taking into account data from 10+ years back is relevant. With the “expected count of goals” outcome we had to give them a little help and using the Poisson Distribution we calculated the probabilities.

The problem with this approach is that sometimes it works and sometimes it doesn’t. Sometimes you can use data span going back half a year, sometimes you get more accurate predictions with 5 years data. Other words: In order to claim your data span being “correct”, you have to use statistical methods to verify the outcome.

This brought us from Rowdie to dividing the data outcomes into 4 groups. From 1 (great results) to 4 (poor results). Can a bookmaker afford having leagues where they are doing the data analysis in a wrong way? Nope. This would be costly and therefore here is a second approach.

Data analysis breaks down to individual players

None of the participants was using this approach and the reason is the complexity and difficulty with the multi level formulas and variables. The advantage of this detailed approach can be explained by this example. Imagine you have some great team e.g. FC Barcelona and 2 key players (Messi or Griezmann) are not part of the line up. This is the moment where your approach based on the latest results falls apart. Team is made of players and if the best ones are missing, you with your analysis based on past results are doomed to wrong outputs.

What do you do? To keep it simple and easy to understand, imagine the squad breaking down to single each player and each player ending with a number – called “impact”. Each player has 2 numbers. Defence and offence. When a player with a high offensive number is missing, the scoring ability of the team goes down. Similarly it goes if a strong defender who is supposed to take care of Messi is missing. But even using this procedure, the necessity for retroactive necessity remains. The model however shows more accurate probabilities.

Predicting the outcomes of a football match is not a static task. Your approach to data analysis needs to be dynamic and with the constantly changing variables you get some vibrant outcomes.