Fleury 91 vs Valenciennes: match statistics

The match favorite is the hosts Fleury 91: they sit 4th in the table and at home have a 46% win rate, averaging 1.46 goals scored and 1.00 conceded per game. Efficiency metrics favor them — home xG is 1.49 versus Valenciennes’ 1.20 xG on the road, more shots (11.42 vs 9.15) and shots on target (4.92 vs 3.92), with higher possession (61% vs 51%). In form both teams show similar parameters: Fleury have 11 goals in the last 5 matches and average 2.2 points per game, Valenciennes 8 goals and 2.0 points on average (3W-2D-0L vs 3W-1D-1L in their last five). Defensively the hosts hold a clear advantage — Fleury concede 1.00 goals at home and keep clean sheets in 46% of matches, whereas Valenciennes concede 1.62 goals away and have only 15% clean sheets. Although Valenciennes rarely fail to score (FTS 23% away), Fleury fail to score in 38% of home games, which narrows the edge and increases the chance of a draw; overall the xG, possession and clean sheet differentials point to backing a Fleury 91 victory.

The “both teams to score” scenario is more likely: Valenciennes has a season BTTS rate of 77% versus Fleury’s 43%, with the league average at 54%. In the last 5 matches Fleury recorded BTTS in 80% of games and Valenciennes in 60%, with Fleury averaging 2.2 goals in those five matches and Valenciennes 1.6, while conceding 1.0 and 1.2 goals respectively. xG confirms the hosts’ attacking potential (Fleury 1.74 xG per game with xG against 1.16), and Valenciennes has xG against 1.27 and concedes 1.62 goals on the season, which increases the likelihood of goals from both sides. The hosts produce 5.57 shots on target per game versus Valenciennes’ 3.92, and a clean sheet occurred for Fleury in 36% of matches and only 15% for Valenciennes (meaning Valenciennes conceded in 85% of games); this collectively strengthens the BTTS signal. Based on this I assess the chance of BTTS at 78% versus 22% for No Goal.

Expected goals were estimated from xG: Fleury has xG_for 1.74, Valenciennes defense xG_against 1.27 → Fleury ≈1.50; Valenciennes xG_for 1.20 vs Fleury defense xG_against 1.16 → ≈1.18, total xG = 2.68. A Poisson model with λ=2.68 gives P(≥2) ≈75%, P(≥3) ≈50% and P(≥4) ≈28%, which directly supports Over 1.5 and provides moderate support for Over 2.5. Seasonal and last-5 metrics back this view: Fleury Over1.5 64% and Valenciennes 85%, while Over2.5 seasonally 43%/62% but in last 5 Fleury Over2.5 80% and Valenciennes 60%, so I slightly raise the probability for Over 2.5 to ~52%. Fleury generates significantly more chances (avg 14.57 shots and 5.57 on target, conversion 8%, xG_for 1.74) while Valenciennes records 9.15 shots and 3.92 on target (conversion 13%, BTTS 77%), which increases the likelihood of goal exchange. As a result the best selection is Over 1.5 (side: over, line: 1.5); Over 2.5 remains moderately likely, and Over 3.5 is unlikely.

Fleury has a clear advantage in the first half: they led at the break in 4 matches this season (29%), and in the last 5 fixtures they led at the break in 60% of cases, scoring an average of 1.2 goals by half-time versus Valenciennes’ 0.2. Additionally, the hosts’ xG is 1.74 compared to the visitors’ 1.20, with an average of 14.57 shots to 9.15, confirming that Fleury creates significantly more chances. Valenciennes, however, are stronger after the break — scoring an average of 1.54 goals in second halves versus Fleury’s 1.21 — so there is a real risk of a turnaround, which justifies allocating a few percent to scenarios where the visitors come back. The low frequency of both teams scoring before half-time (7% hosts vs 15% visitors) and Valenciennes’ higher conversion rate (13% vs 8%) make the strongest signal a Fleury lead at the break and holding on to win (1/1), hence my pick.