Current stats and analysis
Ligue 1
2026-2027After 5 matchdays, Monaco lead narrowly with 13 points. Right behind them sits Olympique Lyonnais on 11 points, 2 points off the lead and level with third place. Currently on course for the Champions League: Monaco, Olympique Lyonnais, Paris. Currently in the relegation zone: Lens, Troyes, Olympique Marseille, Le Havre.
- Matches
- 45
- Home wins
- 40%
- Goals per match
- 2.8
- Over 2.5 goals rate
- 60%
Table and xG analysis
The current standings alongside the league's expected-goals table, plus which teams are in the best and worst run of form.
Above expectation
Strasbourg have scored 10 goals this season, 3.4 goals more than their xG value of 6.6 would suggest. The attack is converting chances far more clinically than the underlying numbers imply.
Below expectation
Le Havre sit in the relegation zone and scored only 4 goals, 4.4 goals fewer than their xG value of 8.4 would suggest. That wasteful finishing helps explain their precarious position.
Best current form
Monaco sit top of the table and also picked up 4 wins, one draw, and 0 losses from their last five matches. The league's best current form lines up exactly with the team leading the table.
Worst current form
Le Havre are still waiting for a win after their last five matches, managing only 2 draws against 3 losses. A winless run of that length is difficult to recover from over the course of a full season.
The table shows the season's full standings with points, goals, goal difference, MatchAnalyzr's MA-Score, and each team's recent form curve. It can be switched to separate home and away tables, showing how points, goals and form differ depending on where a team plays. The xG table next to it recalculates the same standings using expected goals, expected goals against and expected points instead of the results actually recorded, making it visible which teams are over- or underperforming their true level.
Top scorers and assist providers
Who is leading the goal and assist charts this season, and how their output compares with the underlying xG numbers.
League top scorer
Paris Brunner leads the league's scoring charts with 4 goals so far this season. No other player in the league has been involved as often in the decisive final touch in front of the opposition goal.
League top assister
Cristian Cásseres Jr. tops the league's assist charts with 4 assists so far this season. Nobody else in the league has provided the decisive final pass before a teammate finished the chance more often.
Top scorer vs xG
Paris Brunner has scored 4 goals, well above what an xG value of 2.5 would predict - a surplus of 1.5 goals. The league's top scorer is converting chances exceptionally efficiently right now.
Furthest below xG
Lassine Sinayoko has scored only 0 goals against an xG value of 3.5, a shortfall of 3.5 goals. The chances are clearly there, they are simply not being converted as often as the numbers suggest.
The top scorer and assist lists show who has been most directly involved in goals this season. The xG comparison for top scorers puts that into context: a player scoring well above their xG is converting chances especially efficiently, while one below it is missing chances more often than expected.
Momentum
Which teams have gained or lost the most ground in the table recently, both in places and in points.
Rising team
Strasbourg have climbed 10 places up the table over their recent matches. The improved run of form is now visible directly in their current league position, not just in individual results.
Falling team
Olympique Marseille have dropped 16 places down the table over their recent matches and now sit in the relegation zone. Their weaker recent form has pushed them directly into the fight to avoid going down.
Most points gained
Monaco have picked up more points than any other side over the matchdays covered here, reaching 10 points. A run like that often says more about the rest of the season than a single jump in the table.
Fewest points gained
Olympique Marseille have picked up fewer points than any other side over the matchdays covered here, managing only 0 points. A run like that dents confidence long before it shows up in the table.
The momentum tracker shows which teams have recently gained or lost ground in the table, independent of their raw league position. It makes visible who is currently trending upward and who is going through a weaker spell.
Match timing
When in a match goals tend to fall, and how often the outcome is still being decided in stoppage time.
Peak scoring window
Most goals in the league fall between the 75th and the 90th minute of play, right in the frantic closing stages. Staying sharp physically and mentally in that phase decides an unusually high share of tight games.
Stoppage-time goals
On average 0.2 goals per match is scored in stoppage time alone. A high figure points to matches that stay open right up to the final whistle and can still swing completely in the closing seconds.
The scoring-window statistic shows in which phase of the match goals fall most often across the whole season so far. It separately tracks how many goals come in stoppage time alone, after the regular ninety minutes have elapsed.
Over/under and BTTS
How often matches go over 2.5 goals, and how often both teams find the net.
Over/under 2.5 goals
More than 2.5 goals fell in 60% of matches played so far, making this an unusually high-scoring season across the league. For spectators, that means consistently entertaining, attack-minded football.
Both teams to score
Both teams scored in 60% of matches played so far this season, an unusually high figure for this league. Games where one side fails to score are clearly rarer here than in most major European leagues.
The over/under and BTTS rates show how high-scoring and how balanced this league actually is in the current season. More on xG, expected points, and the other metrics on this page is explained in MatchAnalyzr's knowledge base.
Statistical anomalies
The most notable statistical outliers the league's numbers have thrown up so far this season.
Understanding Ligue 1 metrics
xG, expected points, the over-2.5 rate and the form guide are what the numbers on this page are built from. These articles explain how each one is calculated and what it actually says about a team.
How to Read Football Statistics: A Guide
Learn how to read and interpret football statistics correctly. From possession and shots to xG and PPDA - what stats really tell you and common misconceptions.
What is xG (Expected Goals)?
Learn what xG (Expected Goals) means in football analytics, how it's calculated, and how to interpret xG values to understand team and player performance.
Form Analysis in Football: Identifying Trends
What form means in football, how to read form curves, and why recent results predict upcoming matches better than the full standings. Tips for Fantasy and betting.
Home and Away Strength: The Home Advantage in Numbers
How big is the home advantage really? Statistical analysis of home vs. away performance across major leagues, the COVID experiment, and what the numbers reveal.
What is npxG (Non-Penalty xG)?
npxG removes penalties from expected goals to reveal true attacking quality. Learn why it matters for comparing strikers, scouting, and reading league tables.
What is xPTS (Expected Points)?
xPTS shows how many points a team actually deserves based on their xG. Spot over- and underperformers, predict regressions, and read the table behind the table.
Frequently asked questions
What xG, expected points, both teams to score and the other metrics on this page mean - explained briefly and from scratch.
- What is the xG value in the Ligue 1?
- xG stands for expected goals, a value that rates every single scoring chance in a match by how likely it was, statistically, to result in a goal. That likelihood depends on factors such as shot location, shot angle, and pressure at the moment of the attempt, based on thousands of historical shots. A team's total xG shows how many goals an average side would be expected to score from the same set of chances. When the actual goal tally differs noticeably from the xG value, that gap is described as over- or underperformance. On this page, xG feeds into both the xG table and the comparison of the league's top scorers.
- What are expected points (xPoints) in the Ligue 1?
- Expected points, or xPoints, apply the same logic as xG to the league table. Instead of actual goals, each match's xG balance is converted into an expected points outcome, as if every team had earned exactly the points its chance quality would statistically support. A team with noticeably more real points than xPoints has so far benefited from favourable finishing. A team with fewer real points than xPoints has, based on the chances alone, arguably underperformed relative to its underlying numbers. Over a full season, such gaps often narrow again at least partially.
- What does the Ligue 1 xG table show?
- The xG table recalculates the same Ligue 1 matches using expected goals (xG) instead of the goals that were actually scored. Every team is ranked according to its underlying chance quality alone, regardless of how clinical or unlucky it has been in front of goal. This makes it easy to see at a glance which teams are over- or underperforming relative to their true level. A large gap between the real table and the xG table is often a sign that a team's results could still shift over the coming matchdays.
- What do the Ligue 1's top scorer and assist rankings show?
- The top scorer ranking lists the Ligue 1's players by goals scored, the assist ranking by goals set up. Both describe the same attack from opposite ends: who finishes a move and who creates the chance to finish it. A player ranked highly in both lists is usually irreplaceable to their team's attack, while a pure finisher depends far more on the service they receive. Read alongside expected goals, the rankings also show whether a player converts chances unusually well or simply gets a lot of them. For matchday preparation, both lists point to the players an opponent has to defend most carefully.
- What does BTTS mean in the Ligue 1?
- BTTS stands for Both Teams To Score. The Ligue 1's BTTS rate shows the percentage of matches played so far in which both the home and the away side scored at least one goal each. A high rate points to attack-minded teams and defences that concede fairly often. A low rate instead suggests plenty of matches in which at least one side fails to score at all. The figure is commonly used to gauge the combined attacking threat of both teams before an upcoming fixture.
- What does the Ligue 1's over/under 2.5 goals rate mean?
- The Ligue 1's over/under 2.5 goals rate shows the percentage of matches played so far in which more than 2.5 total goals were scored. It condenses the whole league's scoring threat into a single, easily comparable figure. A rate well above 50 percent marks a high-scoring, attack-minded season. A rate well below that instead points to tighter, more defensively minded matches with fewer clear-cut chances. Compared with other top leagues, it offers a quick read on how entertaining a league currently is from a pure goals perspective.
- What do the Ligue 1's scoring-window stats show?
- The Ligue 1's scoring-window statistic splits every match into fifteen-minute segments and shows in which segment the most goals have fallen so far this season. This reveals whether a league tends to score early, late, or fairly evenly across the full ninety minutes. A sharp increase in the final fifteen minutes often points to teams taking more risks late on, or to fatigue setting in for tiring defences. The statistic separately tracks how many goals fall in stoppage time alone, after the regular ninety minutes have elapsed. Together, both figures help you gauge the typical rhythm and tension of a match in this league.
- What does the Ligue 1's momentum tracker show?
- The momentum tracker shows which teams in the Ligue 1 have recently gained or lost places in the table over their most recent matches. It adds a time dimension to the raw league position, making visible which direction a team is currently trending in. A team that has climbed several places is often genuinely in good form, even if the overall table does not yet fully reflect that shift. A team that has dropped several places is instead often struggling through a temporary rough patch, independent of its broader season quality. For judging the next matchday, the momentum tracker is therefore often more informative than the table position alone.
- What are anomalies in the Ligue 1's statistics?
- The Ligue 1's anomaly scanner compares every team's statistics against one another and highlights the most notable statistical outliers of the current season. That can be a team scoring far more goals than its xG value would predict, or one performing noticeably better at home than away. Unusually high or low BTTS rates for individual teams are also among the patterns it captures. Such anomalies are no guarantee of future results, but they often point to areas where a team's performance could still normalise over the coming matchdays. The selection is recalculated with every data refresh, so it always reflects the current state of the season.
- What does the Ligue 1's home win rate mean?
- The Ligue 1's home win rate shows the percentage of matches played so far in which the home side has come out as the winner. It summarises how strongly home advantage actually plays out across the whole league this season. A high rate points to a league where playing at home makes a noticeable sporting difference, for example through crowd support or the away side's travel burden. A low rate instead suggests that away teams are coping comparatively well this season. For judging individual fixtures, the figure offers a useful starting point, though it should always be weighed together with both teams' current form.
