Ligue 1 · Lille
Lille — Season Outlook
Ligue 1 2026/27 · currently 3rd ▲1 · 15 pts · WLWDD
League tableTitle raceRelegation battle
Ligue 1 · Matchday 8 of 34
Where Lille finish
Footyntel projects Lille to finish around 5th in the Ligue 1 2026/27 — most likely 3rd, with an 80% range of 2nd to 9th — on roughly 56 points. Their chance of winning the title is 7.7%, of top 4 48.7%, and of relegation / play-off 0.1%. On current form they are likely to finish mid-table.
Home & away form
Recent results
Lille's last 5 matches (vs home, @ away).
Top scorers
Lille's leading scorers this season.
| Player | Goals | Assists |
|---|---|---|
| Olivier Giroud | 2 | 2 |
| Tiago Santos | 2 | 0 |
| Dilane Bakwa | 2 | 1 |
| Ayase Ueda | 2 | 0 |
| Ethan Mbappé | 2 | 0 |
| Hákon Haraldsson | 1 | 0 |
Season trend
How Lille's title, top 4 and relegation / play-off probabilities have moved.
Lille's remaining fixtures
Model win / draw / loss for Lille in each match (H home, A away).
Squad
Current first-team squad.
Goalkeepers
- Arnaud Bodart
- Berke Özer
- Orlando Gill
Defenders
- Romain Perraud
- Calvin Verdonk
- Nianzou Kouassi
- Alexsandro Ribeiro
- Tiago Santos
- Nathan Ngoy
- Loun Srdanovic
- Isaac Cossier
Midfielders
- Nabil Bentaleb
- Benjamin André
- Hákon Arnar Haraldsson
- Maurits Kjærgaard
- Ngal'ayel Mukau
Forwards
- Mohamed Bayo
- Gaëtan Perrin
- Olivier Giroud
- Osame Sahraoui
- Ayase Ueda
- Tiago Fonseca Morais
- Dilane Bakwa
- Basar Onal
- Ethan Mbappé
- Hamza Igamane
- Soriba Diaoune
Footyntel projects Lille's Ligue 1 season by evaluating their attack and defence strengths based on current goals scored and conceded, adjusting these ratings with last season's performance, and then simulating the remaining fixtures thousands of times using a Poisson goals model. This approach helps estimate Lille's likelihood of winning the title, qualifying for European competitions, or facing relegation, along with a projected final points total and finishing position range. The projections are shaped by a blend of current form, historical performance, and statistical modeling.
How does Footyntel project Lille's Ligue 1 season, and what shapes it?
Footyntel's projections for Lille are grounded in a statistical model that takes into account both recent and historical performance. By assessing Lille's attack and defence capabilities through goals scored and conceded, the model adjusts these metrics based on early-season data and last season's form. The projections are then generated by simulating the remainder of Lille's fixtures thousands of times, providing a probabilistic outlook on their season. This method ensures that the projections are not just a snapshot of current performance but are also informed by longer-term trends and patterns.
What are Lille's strengths and weaknesses according to Footyntel's ratings?
Footyntel's ratings for Lille's attack and defence are derived from a combination of current and historical data. These ratings are crucial in understanding the team's potential trajectory in Ligue 1:
- Attack: Lille's attacking prowess is evaluated based on the number of goals they have scored. Early in the season, this is balanced with last season's scoring record to provide a more stable estimate.
- Defence: Similarly, Lille's defensive capability is assessed through goals conceded. This metric is also adjusted to account for early-season fluctuations and last season's performance.
These ratings help in identifying whether Lille's strength lies in their offensive capabilities, defensive solidity, or a balanced approach. By understanding these strengths and weaknesses, fans and analysts can gain insights into how Lille might perform against different opponents.
Where will Lille finish in Ligue 1 this season?
Predicting Lille's final position involves analyzing their projected points total and comparing it with other teams in the league. Footyntel's model simulates each remaining fixture, taking into account the current strengths and weaknesses of Lille and their opponents. The model then aggregates these simulations to estimate the probability of Lille finishing in various positions:
- Title Contention: The model calculates the likelihood of Lille winning the Ligue 1 title by considering their performance against top competitors and the overall strength of the league.
- European Qualification: Lille's chances of securing a spot in European competitions are evaluated by assessing their performance against other teams vying for these positions.
- Relegation Threat: Although less likely for a team like Lille, the model also considers the possibility of relegation by analyzing their performance against teams at the bottom of the table.
By providing a range of finishing positions and associated probabilities, Footyntel offers a comprehensive view of Lille's potential season outcome.
How does Footyntel rate Lille's fixtures and form?
Footyntel's assessment of Lille's fixtures and form is a critical component of the projection model. The team’s recent form is evaluated by examining their performance in the last few matches, which helps in identifying any trends or patterns that might influence future games. This includes:
- Current Streaks: Whether Lille is on a winning streak, experiencing a slump, or maintaining a consistent performance level.
- Home and Away Performance: Analyzing how Lille performs at home versus away games, which can significantly impact their overall season performance.
- Opponent Strength: The model also considers the strength of Lille's upcoming opponents, adjusting projections based on whether they are facing top-tier teams or weaker opponents.
By integrating these factors, Footyntel provides a nuanced view of how Lille's fixtures might unfold, offering fans and analysts a clearer picture of the team's potential path through the season.
Understanding the season-trend chart and probability bars
Footyntel's season-trend chart and probability bars are visual tools designed to help users interpret the projections. The season-trend chart illustrates Lille's projected performance over the course of the season, highlighting key points such as potential turning points or periods of high or low performance. The probability bars, on the other hand, provide a visual representation of the likelihood of different outcomes, such as winning the title, qualifying for Europe, or facing relegation. These tools are essential for understanding the uncertainty inherent in any projection and for making informed assessments about Lille's season.
An honest note on uncertainty
While Footyntel's model provides a robust framework for projecting Lille's Ligue 1 season, it is important to acknowledge the inherent uncertainty in any prediction. Football is unpredictable, and factors such as injuries, managerial changes, or unexpected player performances can significantly influence the outcome. Therefore, while the projections offer valuable insights, they should be viewed as probabilistic estimates rather than definitive forecasts. Footyntel's model is a tool to aid understanding and decision-making, not a guarantee of future results.
FAQ
Can Lille win the Ligue 1 this season?
Footyntel's model gives Lille a 7.7% chance of winning the Ligue 1 2026/27 title, currently 3rd of 18 clubs by title probability. They are projected to finish around 3rd on about 56 points.
Will Lille be relegated?
The model gives Lille a 0.1% chance of relegation / play-off this season. Their most likely finish is 3rd, with an 80% range of 2nd–9th.
Where will Lille finish in the Ligue 1?
Projected finish: about 5th (most likely 3rd), 80% likely between 2nd and 9th. Title 7.7%, top 4 48.7%, relegation / play-off 0.1%.
Who is Lille's top scorer this season?
Olivier Giroud leads Lille in the Ligue 1 2026/27 with 2 goals and 2 assists.
Where do Lille play, and when were they founded?
Lille play their home matches at Stade Pierre-Mauroy, and were founded in 1944. They currently compete in the Ligue 1.
Are Lille predictions free on Footyntel?
Yes — Lille's season projection, form, remaining fixtures and title / relegation / play-off probabilities are free with no sign-up, updated hourly from official match data.