xG is one of the most popular coefficients in modern football analysis. It appears in broadcasts, post-match statistics, match announcements, bookmaker analyzes and fan discussions. For some it is a great tool for assessing the quality of goal situations, for others it is another statistic that tries to describe something that is best seen on the pitch.

xG what is it?

xG is an abbreviation for English expected goalsi.e. “expected goals”. This is a statistic that evaluates the probability that a given shot will result in a goal. The xG value is usually between 0 and 1.

If a shot has an xG of 0.10, it means that similar situations result in a goal approximately 10% of the time. If the situation has xG 0.75, it means a very good opportunity from which a goal is statistically often scored.

Example:

• xG 0,03 – difficult long-range shot, low chance of scoring.
• xG 0,15 – not a bad situation, but not a hundred percent opportunity.
• xG 0,40 – very good goal chance.
• xG 0,75 – a situation from which the striker should score a goal very often.

In short: xG helps distinguish a team that took a lot of random long shots from a team that created some really dangerous chances.

xG factor in football – how does it work?

The xG factor is based on historical shot data. The model analyzes thousands or millions of previous shots and checks how often similar situations resulted in a goal.

When calculating xG, the following are important, among others:

• distance from the goal,
• shot angle,
• the part of the body that was shot,
• type of pass before shooting,
• Was it a one-on-one situation?
• whether the shot was fired with the head, foot or follow-up,
• whether the player was under pressure from the defender,
• whether the goalkeeper was positioned,
• whether the action was after a counter-attack, a set piece or a positional attack.

The better the shooting position, the higher the xG. A shot from close up, from a central position and without pressure from a defender will have a much higher value than a shot from a sharp angle or from a long distance.

How to read xG in practice?

The simplest way to read xG is to compare the number of goals with the quality of the chances. If a team scored 3 goals with an xG of 0.8, it means they were very effective or had exceptionally well-executed shots. If she scored 0 goals with an xG of 2.4, it means she created good opportunities but lacked effectiveness.

Post-match example:

Team	Council	xG	What could this mean?
The A-Team	1	2,30	created a lot of good situations, but was ineffective
Team B	2	0,60	she scored more than the quality of the opportunity indicated

Such a match could have ended with the score 1:2, but the xG statistics suggest that team A created the better chances. This does not mean that she “should have won”, but it shows that the result itself does not fully reflect the course of the match.

What does team xG mean?

A team’s xG is the sum of the values ​​of all its shots in the match. If a team took five shots with values ​​of 0.10, 0.20, 0.05, 0.40 and 0.25, its total xG is 1.00.

This means that the team has created chances from which, on average, around one goal can be expected. This does not mean that the team had to score exactly one goal. She might have missed nothing, she might have scored three goals, but the quality of the chances was worth about one goal.

A team’s xG helps assess whether a team:

• creates good situations,
• takes a lot of shots, but from difficult positions,
• has a problem with effectiveness,
• scores more goals than the quality of opportunities suggests
• plays better or worse than the score itself shows.

What does a player’s xG mean?

A player’s xG shows the quality of shooting opportunities a specific player had. If a striker has collected a total of xG 5.0 and scored 2 goals in several matches, this may suggest a problem with effectiveness. If he collected xG 5.0 and scored 8 goals, it means an above-average finish or a very good period of form.

In player analysis, xG is especially useful for strikers. It allows you to check whether the player is getting into good situations, even if he is not shooting at the moment. Sometimes a striker without a goal in three games looks bad in basic statistics, but his xG shows that he is regularly where he should be.

On the other hand, a player who scores a lot of goals with a very low xG may be in great form, but this performance does not always last throughout the season.

How to analyze xG?

xG is best analyzed in a broader context rather than as one magic number. The coefficient itself can show the quality of the situation, but it will not explain the entire match. You need to check where the shots came from, when the opportunities were created and what the course of the match was like.

Compare xG with score

If a team won 3-0 but had an xG of 0.9, they could be very effective. If they were down 0-1 with an xG of 2.2, they could have created enough chances but lacked finishing.

Check the number of shots

xG 1.5 may look different depending on shot structure. A team could take 20 poor long-distance shots or 3 very good shots from the penalty area. The sum is similar, but the picture of the match is completely different.

Look for quality, not just quantity

A high number of shots does not always mean an advantage. If most of your shots come from difficult positions, your opponent may have defended well. xG helps separate apparent dominance from real threat.

Analyze xG over the longer term

One match may be random. A series of several or a dozen meetings says much more. If a team consistently has high xG, they are likely to create good chances. If he regularly allows high xG to his opponents, he may have a problem defensively.

Take into account the context of the match

xG does not always tell whether a team controlled the match. A team can quickly take the lead, step back and allow the opponent to shoot. He can also score high xG at the end when the opponent defends the result and gives up space.

xG and match result – why can they be different?

Match score and xG often differ because football is a low-goal sport. One great save from the goalkeeper, a post, a ricochet or a mistake from a defender can completely change the result.

A team can have an xG of 2.5 and not score a goal. He can also have an xG of 0.4 and win with one long shot. This doesn’t mean xG is useless. It means that football is volatile and xG describes the quality of the situation better than the result itself.

In the short term, the result may differ significantly from xG. Over the long term, this difference often begins to even out. That’s why analysts like to look at xG not after one match, but after a series of matches.

xG in football – examples of interpretation

To better understand xG, it is worth looking at some typical match situations.

Situation	Approximate xG	Interpretation
shot from 30 meters	0,02-0,05	low chance of scoring
shot from a sharp angle	0,05-0,12	difficult situation
shot from the penalty area after a pass	0,15-0,35	good situation
one-on-one situation	0,30-0,60	very good opportunity
shot into an empty goal from close range	0,80-0,95	almost one hundred percent situation
penalty kick	ok. 0,76	very high chance of scoring a goal

Values ​​may vary depending on the data model. Another statistics provider may evaluate the same situation slightly differently because the xG models are not identical.

How is xG different from shots on goal?

Shots on goal only show how many times a team forced a goalkeeper save or hit the target. xG goes further and evaluates the quality of these shots.

A team can take 10 shots on goal, but all from difficult positions. Inna can take 3 shots and create two one-on-one situations. The sheer number of shots would suggest that the first team had an advantage, but xG could show that the second team was more dangerous.

This is why xG is more useful than simple shot statistics. It doesn’t replace watching the game, but it helps you better understand whether your team actually created good chances.

xG in bookmaking and match prediction

xG is often used by people analyzing matches before betting. It can help check whether the team’s form is sustainable and whether the result of recent matches was partly the result of efficiency, mistakes made by opponents or great interventions by the goalkeeper.

Example: a team won three games in a row, but in each of them it had lower xG than the opponent. The results look good, but the analysis suggests that the team may play worse than the table shows. The opposite situation is also possible – the team loses, but regularly creates good situations and may be closer to improving results than the series of defeats indicates.

xG should not be the only basis for type. It is worth combining them with the analysis of squads, schedule, injuries, playing style, motivation, odds and the context of the match.