Toulouse vs Lille: match statistics

Lille are the favorites: they sit 4th in the table versus Toulouse in 10th and have a superior goal difference 45–39; in the last 5 matches the visitors recorded 3 wins and the hosts 2 (points per game 1.8 vs 1.4). In attack the differences are marginal — Toulouse at home have average xG 1.61 and score 1.5 goals per game, while Lille away have xG 1.51 and score 1.57 goals per game, but Lille exhibit higher efficiency (conversion rate 12% vs 10%). Defensively the hosts look more solid: Toulouse concede on average 1.21 goals at home with an xG against of 1.09 and keep 43% clean sheets, whereas Lille away concede 1.43 goals and keep 29% clean sheets (xG against 1.23). Playing style also favors Lille — the visitors average 55% possession versus the hosts' 43% and, despite fewer shots per game (12.86 vs 14.93), are more efficient; Lille’s away matches average 3.0 goals versus 2.71 in Toulouse’s home games. Considering the higher league position, better form (points per game 1.8 vs 1.4) and superior efficiency, I predict a Lille win; I assess the chances as 23% for Toulouse, 27% for a draw and 50% for Lille.

The analysis slightly favors the BTTS market, as Toulouse averages 1.64 goals per match (xG 1.69) and Lille scores 1.57 goals per match (xG 1.51), giving both teams a baseline scoring potential above one goal. Defenses show vulnerabilities: Toulouse concedes 1.0 goal seasonally but have been conceding 1.8 goals per match over the last 5, while Lille concedes 1.43 goals seasonally (xG against 1.23), so the likelihood that either side concedes is high. Historical metrics indicate Toulouse has BTTS at 50% for the season and 60% in the last 5 matches, and Lille 36% for the season and 40% in the last 5; the league average BTTS is 49%, which together suggests an advantage for the "both teams to score" scenario. Additionally, shots on target 4.71 (Toulouse) versus 4.43 (Lille) and the xG/xG against matchup produce projected average goals around 1.46 for Toulouse and 1.28 for Lille, which in a simple model translates to a probability of both teams scoring above 50%. On this basis I estimate BTTS probability at 57% (Yes) vs 43% (No) and recommend the "yes" (BTTS - Yes / Goal/Goal) bet as the strongest signal from the available data.

Averaging attack and defense by xG yields: Toulouse xG_for 1.69 vs Lille xG_against 1.23, implying ≈1.46 expected goals; Lille xG_for 1.51 vs Toulouse xG_against 1.04, implying ≈1.28 expected goals, total ≈2.74. Seasonal indicators confirm a propensity for goals: Toulouse records Over 1.5 in 64% of matches, Lille in 71% (average 67.5%), and in the last 5 fixtures Over 2.5 occurred for both teams in 60% of cases. With combined λ≈2.74 the Poisson distribution gives roughly a 76% chance for Over 1.5, about 52% for Over 2.5 and about 29% for Over 3.5. Therefore I recommend betting Over 1.5 (line 1.5) as the strongest signal — it has the highest probability and is consistent with xG (1.46 vs 1.28) and seasonal trends.

The most likely scenario is a draw at half-time and a Toulouse win at full-time (X/1). Toulouse were level at the break in 57% of their home matches (8 times), and 79% of their home first halves were clean sheets at the break, which favors goalless or low-scoring first halves. The average first-half goals for both teams is only 0.43, confirming a low scoring tempo before the break. After the break Toulouse average 1.71 points and win the second half in 43% of matches, whereas Lille average 1.21 points and only 28% such wins, so the home side more often stage a turnaround after half-time. Additionally, the hosts’ xG is 1.69 versus Lille’s 1.51, and Toulouse at home average 1.93 points per match compared to Lille’s 1.64, therefore the X/1 scenario receives the strongest data support.