Home advantage is one of the oldest findings in football research: teams tend to collect more points at their own stadium than they do away from home. Researchers have measured it for decades, and the numbers are useful to anyone who reads match odds.
Football markets always involve a home side and an away side. When looking at fixtures available through 1xBet MM on match day, it helps to understand how much of an advantage playing at home typically provides in a league match. This article summarises what published studies found and how to keep those findings in proportion.
How Researchers Measure Home Advantage
The standard measure comes from Richard Pollard. In a league where every team plays the same number of home and away matches, home advantage is the share of all points won at home. A figure of 50% would mean no advantage, and anything above 50% shows that home teams collect more.
A full review of the research lists the main explanations that have been studied: crowd effects, travel, familiarity with the pitch, referee bias, territoriality, tactics and rule factors. The review concludes that the causes are not yet clear and that they interact with each other.
What the Numbers Show
Pollard's 1986 study found that home teams in the English Football League obtained about 64% of all points. The advantage had changed very little since the league was formed in 1888.
A later study of 157 national leagues covered six seasons between 2006 and 2012 and 169,752 matches. Home advantage was present on all continents but varied widely between countries, with Nigeria highest at 86.82%.
|
Study |
Scope |
Main finding |
|
Pollard, 1986 |
English Football League |
Home teams won about 64% of all points |
|
Pollard and Gómez, 2014 |
157 national leagues, 169,752 matches |
Advantage on all continents, highest in Nigeria at 86.82% |
The 2014 study also tested predictors. After controlling for competitive balance, league-level differences were linked to FIFA ranking, which serves as a proxy for crowd support, to the maximum distance between teams, to leagues where most teams come from one city, and to at least two teams playing at high altitude.
Why Home Advantage Is Not a Constant
The switch from two to three points for a win in 1981 did not change home advantage in Pollard’s 1986 data, and later studies of the rule change have reached conflicting conclusions. The researchers state that it is difficult to draw a firm conclusion about the effect of that rule change.
The 1986 study also reached a conclusion about causes. Crowd support and travel fatigue appeared to contribute less to home advantage than the less easily measured benefits of familiarity with conditions at home.
Rules matter too. In the English Conference, which experimented with awarding more points for an away win than a home win, the effect of home advantage on points was greatly reduced.
Pollard's early work also found that the advantage is larger in the European Cup and grows as the competition progresses. It is lower in non-professional competitions. Context therefore matters, and a single league average cannot describe every match.
Calculating the Home Share Yourself
Calculating this measure is quite straightforward. First, you need to divide the number of points earned at home by the total number of points earned and multiply it by 100. In case there are 30 points at home and 20 points away, the measure will be equal to 30/50, which makes up 60%.
The measure assumes that each team plays as many games at home as away. Additionally, it is more effective when calculating for the whole league than for a particular club.
Reading Home Advantage in Match Odds
Home advantage is already reflected in football betting odds, but a shorter price on the home team can also result from other factors. Team form, injuries and the quality of the opposition all influence the odds.
The historical figure of 64% means that 64% of the points in Pollard’s sample were won at home, not that a home team had a 64% chance of winning any individual match. It is a useful long-term statistic, but it is not enough on its own to predict the outcome of a particular game.
The same approach can be used when comparing prices shown after accessing an account through the 1x Myanmar login page: the important point is to record why a factor such as home advantage was considered relevant before the match, rather than judging it only after the result is known.
Questions to Ask Before Applying the Research
The figures on home advantage come from specific leagues, seasons and types of matches, so a finding from one setting may not transfer directly to another. Several questions can help establish how relevant a study is to a particular match:
- Does the figure describe one league or many leagues?
- Which seasons does the study cover, and has the league changed since?
- Is the match a league fixture, a cup tie or a late stage of a tournament?
- Do the home and away records of the two teams point in the same direction?
- Does the price already reflect form, absences and the quality of the opponent?
Scope is important because home advantage is not always consistent. An average across many countries can hide substantial differences between leagues. Longer travel distances, stronger home support or other local factors may produce a larger-than-average effect in some competitions.
Time matters as well. Several studies suggest that home advantage has declined over time, while matches played without crowds provided researchers with an unusual opportunity to examine the role of spectators. Competition format also matters: a final played at a neutral venue has no conventional home advantage, and a two-legged knockout tie differs from a standard league match.
The final question is often the most important. Home advantage is just one of the factors taken into consideration by analysts and bookmakers.
How to Measure Home Advantage for One League
Home advantage can also be estimated for a single league by calculating the share of all points won by home teams. To do so, take a league table with home and away records, add up the home points of every team and divide by all points won in the league that season. A result of 0.64 would match the long-run figure from Pollard’s study, while 0.50 means the venue made little difference.
Using three or four seasons rather than only one can produce a more stable estimate and show whether a particular team relies on its home ground more than the league average.
