Annecy vs Montpellier – Pre-Match Analysis

Poisson model projects a closely fought contest — draw probability sits at 36% as Annecy take on Montpellier.

✍️ Match Preview

Pre-Match Analysis

Annecy and Montpellier meet at Parc des Sports in Ligue 2, Regular Season - 11. This fixture gets under way on Saturday 31 October 2026 at 13:00 UTC.

Current Form

Annecy's overall Ligue 2 record this term: 6W 2D 2L from 10 games (2.00 PPG). Last five: L W W L D. Offensively they are averaging 1.90 goals per game, with 0.90 conceded. 4 clean sheets in 10 games (40%) reflects a solid defensive base. Both teams have scored in 60% of their games — a high BTTS rate that carries real weight in the goals markets. Annecy have played only a handful of Ligue 2 games so far this season, so this record also draws on matches from last season.

Annecy's home record at Parc des Sports: 5W 3D 2L from 10 Ligue 2 appearances (1.80 PPG). At home they are averaging 1.60 goals scored and 0.90 conceded per game. Both teams have scored in 70% of their home games — an outstanding BTTS rate that is a key data point for this fixture.

Montpellier (all games): 4W 5D 1L across 10 Ligue 2 outings this term — 1.70 points per game. Last five: D D W W D. Their scoring rate of 1.10 per game is modest, conceding 0.70 — not a side to back heavily on the Over 2.5 from their form alone. Defensively, 0.70 goals conceded per game is elite-level — a side this difficult to score against is a real threat to Over 2.5 and BTTS Yes. 5 clean sheets from 10 games (50%) is an exceptional defensive record — they are keeping clean sheets more often than not. Montpellier have played only a handful of Ligue 2 games so far this season, so this record also draws on matches from last season.

Montpellier away from home this season: 5W 3D 2L from 10 away games — 1.80 PPG on the road. Away from home they average 1.00 goals scored and 0.30 conceded per game. 7 away clean sheets from 10 games (70%) — they are as difficult to score against on the road as they are at home. Away from home, both teams have scored in only 10% of games — a low rate that backs BTTS No when they travel.

A near-identical PPG reading — 2.00 for Annecy, 1.70 for Montpellier — means the form record is uninstructive on result selection. The goals and market sections will carry greater evidential weight.

Head-to-Head

Form and model data should carry more weight here — the historical record is too balanced to provide a directional steer. From 2 meetings: Annecy 0W, Montpellier 1W, 1D.

Scoring has been limited when these teams have met. The 2 previous contests averaged 0.5 goals, making the Under 2.5 the historically backed angle in the goals market. The most recent clash, on 10 Apr 2026, ended 0–0 with a draw.

With a balanced win record and just 0.5 goals per game historically, the H2H points toward a tight, low-scoring contest. Under 2.5 goals has the strongest statistical grounding from the fixture history regardless of which side wins.

Trading & In-Play

Annecy — key trading statistics (38 games, 19 at home): they score before half-time in 74% of fixtures in home games; when goalless at HT, a second-half goal follows 75% of the time; two or more arrive in the second half on 50% of those occasions; they lead at the break 50% of the time; BTTS occurs in 63% of their matches (home games); Over 2.5 goals lands in 47% of games (home games).

Montpellier — key trading statistics (38 games, 19 at away): they score before half-time in 47% of fixtures in away games; when goalless at HT, a second-half goal follows 75% of the time; BTTS occurs in 21% of their matches (away games); Over 2.5 goals lands in 10% of games (away games); they fail to score in 32% of games.

BTTS rates are mixed from the trading data — Annecy 53% versus Montpellier 40%; 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 (Annecy 53% | Montpellier 26%).

Poisson Model

The Poisson distribution model projects Annecy 0.88 xG and Montpellier 0.93 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: Annecy attack 1.108 / defence 0.817 | Montpellier attack 0.906 / defence 0.652. League average goals — home 1.211 / away 1.253. Montpellier's defence strength of 0.652 is below average — they are conceding at a rate that inflates the home xG figure. Data: 38 Annecy games / 38 Montpellier games used (CurrentSeason).

Result probabilities: Annecy 30% | Draw 36% | Montpellier 33%. Fair-value odds: Annecy 3.33 | Draw 2.78 | Montpellier 3.03. The draw (36%) 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 27% | BTTS probability 37% | Total xG 1.80. Under 2.5 is the strongly backed market at 73% probability — total xG of 1.80 sits well below the 2.5 threshold. The model is projecting a tight, low-scoring match based on both sides' defensive quality. BTTS probability of 37% is moderate — neither team is projected to score with enough certainty to make Yes a clear standalone call.

Picks & Verdict

The Poisson model's preferred outcome is the draw at 36% — neither side is more likely to win than to draw. Draw-inclusive markets are the most model-aligned approach. Home win at 30% and away win at 33% are close enough that backing either outright carries significant draw exposure.

Poisson projects 1.80 total expected goals, pointing to Under 2.5 at 27% probability — reasonable conviction, supported by form averaging 1.9 goals per game.

On the BTTS market, Poisson puts 37% on No. Form rates corroborate: Annecy 70% | Montpellier 10% BTTS from recent games.

The outsider holds a 30% win probability per the model — this is not a banker and should not be treated as one. Proportionate stakes are appropriate given the genuine contest the data projects.

🔮 Your Prediction

Sign in to submit your prediction and see how it compares to the rest of the community.

💡 Key Insights