Sochaux 1-1 Boulogne – Result & Analysis

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Poisson model projects a closely fought contest — draw probability sits at 38% as Sochaux take on Boulogne.

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Full Analysis

Stade Bonal plays host to Sochaux versus Boulogne in Ligue 2, Regular Season - 8. Kick-off: Friday 9 October 2026 at 18:00 UTC.

Current Form

Sochaux's overall Ligue 2 record this term: 2W 4D 1L from 7 games (1.43 PPG). Last five: W D D W D. They are averaging 0.57 goals per game and conceding 0.71 — a modest attacking output that tempers optimism on the Over 2.5 market. Defensively, conceding just 0.71 per game is an exceptional defensive record — one of the tightest in the division. 4 clean sheets from 7 games (57%) is a standout defensive return — they are keeping their net clean in more than half their matches. Both teams have scored in just 29% of their matches, indicating a tendency toward clean sheets or low-scoring outcomes. Sochaux have played only a handful of Ligue 2 games so far this season, so this record also draws on matches from last season.

Sochaux at Stade Bonal this season: 2W 0D 1L from 3 home games — 2.00 PPG on home soil. At home they are averaging 0.67 goals scored and 1.00 conceded per game. 2 clean sheets from 3 home games (67%) — they are an exceptionally hard side to score against at Stade Bonal. Their home PPG of 2.00 is noticeably stronger than their overall 1.43 — Sochaux are significantly better at Stade Bonal than their overall form suggests.

Boulogne (all games): 0W 5D 5L across 10 Ligue 2 outings this term — 0.50 points per game. Last five: D D D D L. Their scoring rate of 0.70 per game is modest, conceding 1.50 — not a side to back heavily on the Over 2.5 from their form alone. 3 clean sheets from 10 outings suggests some defensive organisation. Both teams have scored in 60% of their games — a noteworthy BTTS rate that supports the Yes market. Boulogne have played only a handful of Ligue 2 games so far this season, so this record also draws on matches from last season.

When travelling in Ligue 2 this season, Boulogne have posted 3W 4D 3L from 10 away outings — 1.30 PPG. Away from home they average 0.50 goals scored and 0.50 conceded per game. 6 away clean sheets from 10 games (60%) — they are as difficult to score against on the road as they are at home. Away from home, both teams have scored in only 20% of games — a low rate that backs BTTS No when they travel. Their away PPG of 1.30 exceeds their overall 0.50 — they actually perform better on the road than their aggregate form implies.

The points-per-game gap of 0.93 in Sochaux's favour (1.43 vs 0.50) is a statistically meaningful difference. The hosts are the form pick here, with draw protection the sensible hedge given the away side's competitiveness.

Both sides have a strong clean-sheet tendency (using home/away splits) — Sochaux have seen both teams score in just 0% of their games, Boulogne in only 20%. BTTS No has clear statistical support from both squads' form records.

Trading

Sochaux half-time and goal-timing data (7 games, 3 at home): they score before half-time in 43% of fixtures; when goalless at HT, a second-half goal follows 50% of the time; BTTS occurs in 29% of their matches; Over 2.5 goals lands in 14% of games; they keep a clean sheet 57% of the time; they fail to score in 43% of games.

Boulogne half-time and goal-timing data (7 games, 3 at away): they score before half-time in 29% of fixtures; when goalless at HT, a second-half goal follows 40% of the time; BTTS occurs in 43% of their matches; Over 2.5 goals lands in 14% of games; they keep a clean sheet 43% of the time; they fail to score in 57% of games.

BTTS rates are mixed from the trading data — Sochaux 29% versus Boulogne 43%; no strong lean in either direction. Under 2.5 goals has backing from the in-play data — both teams register low Over 2.5 rates (Sochaux 14% | Boulogne 14%).

Poisson Model

The Poisson distribution model projects Sochaux 0.70 xG and Boulogne 0.84 xG. These expected goals figures are the primary input: they feed a goal-probability matrix across all scoreline combinations to derive the result and market probabilities below. Underlying strength ratings: Sochaux attack 0.723 / defence 0.990 | Boulogne attack 0.681 / defence 0.759. League average goals — home 1.276 / away 1.246. Sochaux's attack strength of 0.723 is below the league average — the 0.70 xG projection reflects a team that scores at a discount to the division norm. Boulogne's defence strength of 0.759 is below average — they are conceding at a rate that inflates the home xG figure. Data: 7 Sochaux games / 41 Boulogne games used (CurrentSeason).

Result probabilities: Sochaux 27% | Draw 38% | Boulogne 35%. Fair-value odds: Sochaux 3.70 | Draw 2.63 | Boulogne 2.86. The draw (38%) is the Poisson-preferred outcome — neither side is more likely to win than to draw, making draw-inclusive markets the most model-aligned approach.

Goals markets: Over 2.5 probability 20% | BTTS probability 30% | Total xG 1.54. Under 2.5 is the strongly backed market at 80% probability — total xG of 1.54 sits well below the 2.5 threshold. The model is projecting a tight, low-scoring match based on both sides' defensive quality. BTTS No has firm model support at 70% — Sochaux's lower xG of 0.70 creates a meaningful probability of a scoring blank, which suppresses the BTTS Yes probability to 30%.

Verdict

The Poisson model's preferred outcome is the draw at 38% — neither side is more likely to win than to draw. Draw-inclusive markets are the most model-aligned approach. Home win at 27% and away win at 35% are close enough that backing either outright carries significant draw exposure.

The Poisson model projects 1.54 xG in total — Under 2.5 at 20% — reasonable confidence, supported by form averaging 1.3 goals per game.

Poisson assigns a 30% probability to BTTS No based on the attack/defence strength model. Form rates corroborate: Sochaux 0% | Boulogne 20% BTTS from recent games.

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