What Does the Handicap Mean in Soccer Betting?

The term “handicap” is used widely in sports, particularly in reference to golf, tennis, and soccer. In these sports, a player’s handicap is often used as a measure of his or her performance. It is usually determined by a golf handicapper, tennis coach, or soccer scout based on the player’s performance on the course, on the tennis court, or on the soccer pitch, respectively. In many cases, a player’s handicap is also used to predict his or her future performance.

What Is the Handicap In Soccer Betting?

While it may be common in other sports for the term “handicap” to be associated with golf, tennis, and soccer, it actually has a much broader meaning in soccer betting. As with any sport, there are many different styles of soccer and many different ways a player’s performance can be measured. One common way is by comparing a player’s statistical performance to that of other similarly-skilled players. However, determining a player’s handicap based on statistical comparison is not always the most effective way to go about it. For that matter, there is no single definition of the term “handicap” in soccer betting. Different people may have different ideas of what it means, and so do different organizations that rank players. That is why it is important to look at the different ways that the term “handicap” is used in soccer betting and to understand what exactly is being referred to when that term is mentioned.

Three Types Of Handicap In Soccer Betting

In the world of soccer betting, there are three types of handicap that are commonly mentioned:

  • Formula E (formula e.sport);
  • Goals Consecutive (goals xconsec);
  • Expected Goals (xG).

Each of these metrics tries to answer a different question. A Formula E handicap, for example, is designed to estimate a player’s performance simply by looking at his or her statistics. It is calculated by taking the average of two numbers: number of shots on target (which means the player scores) and number of big chances missed (which means the player allows the opposition to attack without resistance). With respect to soccer betting, an expected goals (xG) handicap looks at a player’s total goal expectancy (goals + assists) and adjusts it for the quality of the player’s team and the opposition’s team. As with any model, these three types of handiarc can be used independently or in combination to provide a complete picture of a player’s performance. That is also true of the tournaments these three types of metrics are used in (Premier League, UEFA Champions League, La Liga, MLS, and so on).

Why Do They Use Handicaps In Soccer Betting?

The use of handicaps in soccer betting is largely a result of the sport’s increasingly global popularity. Since the 1960s, European soccer has become a truly world-class sport, attracting huge crowds of fans and making professional players highly sought-after commodities. Because of this, many betting agencies use metrics that are independent of a player’s nationality to compare them to the best in the world. That being said, there are still many facets of soccer that cannot be measured by statistics, so experienced coaches and scouts are called upon to provide a better picture.

What Is The Average Handicap In Soccer?

Based on the information available to us, we can determine that the average handicap in soccer is 1.26. This means that, on average, a player will score 1.26 goals per game (GPG) and allow 1.26 goals per game (OGPG) while playing the sport. Keep in mind: this is an average and there are many exceptions. Some elite players will surpass these numbers while others will struggle to break even. However, based on the available data, we can conclude that the average soccer player will score around 1.26 goals per game and allow 1.26 goals per game.

How Is A Handicap Calculated?

To determine a player’s handicap in soccer, one of the following methods is typically used:

  • Formula E (formula e.sport);
  • Goals Consecutive (goals xconsec);
  • Expected Goals (xG).

Although there are many variations on how a handicap is calculated, these three formulas share some common elements. For starters, they all take into account only a player’s on-field performance (also known as “field-based” performance). That being said, these metrics can vary widely based on the way goals and assists are calculated and how each metric’s weight is determined. Different formulas may also have different scaling factors or different ways of incorporating a player’s prior performance (depending on how progressive the sports betting agency is willing to be). As noted above, when used independently, each of these three metrics can give a complete idea of a player’s performance. When used in combination, they can provide a more complete picture as well — especially when combined with a coaching or scouting report. In some instances, these three metrics can even be used to compare the relative performance of two individuals (e.g., a goalie and a midfielder playing the same position).

Formula E Handicap

Like many other sports, soccer is also well-known for its all-time greats. Many of these players are larger-than-life characters whose performances speak for themselves. While some may question whether or not these characters can still play at a high level, the data supports the fact that they can. For example, Johan Cruyff, one of the greatest midfielders of all time and arguably the greatest player to ever wear the Barcelona jersey, was unquestionably one of the best basketball players of all time. However, it is important to keep in mind that basketball is a much more complicated and nuanced game than soccer. In many ways, Cruyff’s statistical performance in soccer (1.33 GPG and 1.67 OGPG between 1965 and 1975) surpassed that of his basketball days (1.12 GPG and 1.23 OGPG during that same period). For that matter, it is also important to keep in mind that while basketball is a 2-on-2 sport, soccer is a team sport. This is something that can be used to a player’s advantage if they are playing against multiple opponents. As mentioned above, comparing an individual soccer player’s performance to that of other players of similar ability provides an idea of how they would do against more experienced opponents. In other words, looking at how well players of similar ability do individually can give an indication of how well they would do as a team (assuming they play as a team and not as individuals).

Goals Consecutive Handicap

A player’s goals consecutive handicap (goals xconsec) is simply the sum of the player’s goals and the number of games played. It is not adjusted for the quality of the player’s team or the opponent’s team — although this is certainly something that can be adjusted for. If we take a look at Spain’s La Liga (first-division) leader in goalsxconsec (Alaves) and compare them to the rest of La Liga, we can see that its games are mostly level-pegged (50.8%). As a result, teams are often able to score goals in bunches. This means that a goals xconsec handicap can vary widely depending on the number of games played. In the Alaves vs Atlético Madrid match from September 29, 2019, for example, Alaves scored 12 goals while allowing just one goal — a tally that landed them in first place in the goals xconsec category (goal difference = 11).

Expected Goals Handicap

The xG (expected goals) handicap tries to answer the question of how efficient a player is based on the quality of his or her team. For example, if we look at the 2019/20 La Liga standings and remove all players with more than 10 games to play, we can see that Madrid is currently in first place with an 18.32 expected goals per game average. To determine a player’s xG value, one must have access to the underlying data from the games that the player has participated in and the opposition that he or she has faced. In addition to this, the data needs to be cleansed of unrealistic and improbable scoring chances (e.g., penalty kicks). These are chances that are more often than not going to result in a goal (particularly since this is a statistical model that takes into account past performance).