
Lille
Ligue 1
Last updated May 31, 2026
Last 22 matches
10W · 5D · 7L
Form (recent → older)
Model accuracy on Lille's matches
V1 model
45.5%
n = 22
V3 (Sharp Intelligence)
33.3%
n = 6
Recommended badge appears when one model leads by ≥5 percentage points over a minimum of 10 settled matches. How models work →
Goal patterns
Avg goals scored
1.14
Avg goals conceded
0.91
BTTS
32%
7/22
Over 2.5
27%
6/22
At home (avg scored)
0.70
Away (avg scored)
1.50
Head-to-head — top opponents
vs Auxerre
·4 meetings
vs Aston Villa
·2 meetings
vs Rennes
·2 meetings
vs FK Crvena Zvezda
·2 meetings
vs Monaco
·1 meetings
About Lille
Updated May 14, 2026
Lille has demonstrated a solid performance over the past year with a record of 10 wins, 5 draws, and 6 losses across 21 matches. This translates to a win rate of approximately 48%, showing relative consistency in their form. Offensively, they have scored 25 goals, averaging just over a goal per match, while defensively, they have conceded 18 goals. Interestingly, both teams have scored in only 7 out of their 21 matches, and matches with over 2.5 goals have occurred in 6 instances, suggesting a tendency towards tighter, lower-scoring games.
In terms of model performance, the V1 model has been more reliable for Lille's matches, with an accuracy of 47.6% over the 21 matches analyzed. The V3 model, known for its Sharp Intelligence, has a lower accuracy of 40.0% but only over a smaller sample size of 5 matches. Given these figures, V1 is the recommended model for predicting outcomes in Lille's games, as it has proven to be more aligned with actual results.
When examining Lille's performance against notable opponents, their record shows mixed results. Against Auxerre, they have a balanced record of 1 win, 1 draw, and 1 loss. Matches against Aston Villa have been challenging, with Lille losing both encounters. They have an even record against Rennes and FK Crvena Zvezda, with each matchup resulting in 1 win and 1 loss. Notably, Lille has a perfect record against Monaco, winning their sole encounter. These head-to-head statistics highlight varying levels of competitiveness depending on the opponent.
Remember, this analysis is based on data and statistical models, not a betting recommendation. For more on model performance, visit /performance.
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Stats are rolled up from finished matches in the last 365 days.Methodology · Bet responsibly