📋

Poisson model favours Montpellier (44%) — form and H2H data both point in the same direction as Montpellier face Guingamp.

✍️ Match Preview

Analysis

Guingamp make the trip to Stade de la Mosson to face Montpellier in Ligue 2, Regular Season - 16. The match kicks off on Saturday 2 January 2027 at 19:00 UTC.

Form & Momentum

Montpellier have collected 1.70 PPG across 10 Ligue 2 outings this season: 4W 5D 1L. Last five: D W W L D. They are averaging 1.30 goals per game and conceding 0.60 — a modest attacking output that tempers optimism on the Over 2.5 market. Defensively, conceding just 0.60 per game is an exceptional defensive record — one of the tightest in the division. 6 clean sheets from 10 games (60%) is a standout defensive return — they are keeping their net clean in more than half their matches. Montpellier haven't played a Ligue 2 game yet this season, so this record is entirely from last season.

At home at Stade de la Mosson, Montpellier have gone 5W 2D 3L this season (10 games, 1.70 PPG). At home they are averaging 1.60 goals scored and 1.20 conceded per game. BTTS has landed in 60% of their home matches — a rate that supports the Yes angle in this fixture.

Guingamp (all games): 1W 3D 6L across 10 Ligue 2 outings this term — 0.60 points per game. Last five: D L L L L. Their scoring rate of 0.70 per game is modest, conceding 1.30 — not a side to back heavily on the Over 2.5 from their form alone. 2 clean sheets from 10 outings suggests some defensive organisation. Guingamp haven't played a Ligue 2 game yet this season, so this record is entirely from last season.

On the road, Guingamp have gone 1W 3D 6L from 10 away fixtures this term (0.60 PPG). Away from home they average 1.10 goals scored and 1.50 conceded per game. BTTS has landed in 60% of their away games — meaningful support for the Yes angle in this specific context.

The points-per-game gap of 1.10 in Montpellier's favour (1.70 vs 0.60) is a statistically meaningful difference. The hosts are the form pick here, with draw protection the sensible hedge given the away side's competitiveness.

In terms of goals, both squads have been finding the net consistently (using home/away splits) — Montpellier have seen both teams score in 60% of their games, Guingamp in 60%. That combined rate is a strong statistical case for BTTS Yes as a standalone play.

Head-to-Head

Form and model data should carry more weight here — the historical record is too balanced to provide a directional steer. From 10 meetings: Montpellier 3W, Guingamp 1W, 6D.

The 10 previous meetings have averaged 2.1 goals per game — a neutral rate that provides no strong lean on the goals market from the H2H alone. The most recent clash, on 30 Jan 2026, ended 3–1 with Montpellier winning.

The head-to-head offers no strong directional steer in either the result or goals markets. Form, the predictive model and current market pricing should carry more weight than the historical record for this fixture.

League Table

Montpellier hold the table advantage, sitting 8th with 51 points — 3 positions and 11 points clear of Guingamp in 11th.

On home turf, Montpellier's Ligue 2 record reads 8W 4D 5L this term. Guingamp have gone 4W 5D 8L on their travels.

Trading & In-Play

Montpellier — key trading statistics (34 games, 17 at home): they score before half-time in 76% of fixtures in home games; when goalless at HT, a second-half goal follows 75% of the time; BTTS occurs in 59% of their matches (home games); Over 2.5 goals lands in 47% of games (home games); they fail to score in 32% of games.

Guingamp — key trading statistics (34 games, 17 at away): they score before half-time in 71% of fixtures in away games; when goalless at HT, a second-half goal follows 70% of the time; BTTS occurs in 65% of their matches (away games); Over 2.5 goals lands in 65% of games (away games); they fail to score in 32% of games.

BTTS rates are mixed from the trading data — Montpellier 41% versus Guingamp 50%; no strong lean in either direction. The over/under 2.5 picture is inconclusive from the in-play data (Montpellier 29% | Guingamp 56%).

Poisson Model

The Poisson distribution model projects Montpellier 1.55 xG and Guingamp 1.20 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: Montpellier attack 1.074 / defence 1.001 | Guingamp attack 0.955 / defence 1.054. League average goals — home 1.369 / away 1.258. Data: 34 Montpellier games / 34 Guingamp games used (PrevSeason). Note: current-season sample is too small — prior-season data is carrying the calculation. Model confidence is reduced; treat probabilities as directional rather than precise.

Result probabilities: Montpellier 44% | Draw 28% | Guingamp 28%. Fair-value odds: Montpellier 2.27 | Draw 3.57 | Guingamp 3.57. This is a low-confidence result — no outcome exceeds 45%. The draw at 28% is a primary outcome, not an afterthought.

Goals markets: Over 2.5 probability 52% | BTTS probability 57% | Total xG 2.75. Over/Under 2.5 is close to a coin-flip at 52%/48% — the total xG of 2.75 sits near the 2.5 margin; this is a low-edge market from a Poisson standpoint. BTTS probability of 57% is moderate — neither team is projected to score with enough certainty to make Yes a clear standalone call.

Final Verdict

Poisson rates Montpellier as the most likely outcome at 44% — marginal model lean. Current-season form corroborates the Poisson lean — partial multi-source support. Draw probability of 28% warrants consideration of Double Chance or Draw No Bet on Montpellier if the outright odds are short. The opposing side holds a 28% win probability per the model — this is not a banker and should be staked accordingly.

The Poisson model projects 2.75 xG in total — Over 2.5 at 52% — reasonable confidence, supported by form averaging 2.7 goals per game.

Poisson assigns a 57% probability to BTTS Yes based on the attack/defence strength model. Form rates corroborate: Montpellier 60% | Guingamp 60% BTTS from recent games.

The Poisson model is drawing on PrevSeason data (34 games minimum) — early-season projections carry additional uncertainty. Weight the live form and odds signals accordingly.

🔮 Your Prediction

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

💡 Key Insights