Laval 1-0 Dijon – Result & Analysis

Poisson model rates Laval at 44%, yet other data sources diverge — this Laval vs Dijon fixture contains genuine analytical tension.

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Full Analysis

Stade Francis Le Basser plays host to Laval versus Dijon in Ligue 2, Regular Season - 21. Kick-off: Tuesday 31 January 2023 at 19:45 UTC.

Current Form

Laval's overall Ligue 2 record this term: 4W 2D 4L from 10 games (1.40 PPG). Last five: L L L W D. They are averaging 1.20 goals per game and conceding 1.40 — a modest attacking output that tempers optimism on the Over 2.5 market. 4 clean sheets in 10 games (40%) reflects a solid defensive base. Both teams have scored in just 30% of their matches, indicating a tendency toward clean sheets or low-scoring outcomes. This season is still relatively young for Laval, so this record blends games from this season and last.

Laval's form when playing at home: 4W 1D 5L across 10 games at Stade Francis Le Basser this term (1.30 PPG). At home they are averaging 1.60 goals scored and 1.60 conceded per game. BTTS has landed in 60% of their home matches — a rate that supports the Yes angle in this fixture.

Dijon (all games): 2W 3D 5L across 10 Ligue 2 outings this term — 0.90 points per game. Last five: W L L W L. Their scoring rate of 1.20 per game is modest, conceding 1.30 — 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. This season is still relatively young for Dijon, so this record blends games from this season and last.

When travelling in Ligue 2 this season, Dijon have posted 1W 3D 6L from 10 away outings — 0.60 PPG. Away from home they average 0.90 goals scored and 1.40 conceded per game. Both teams have scored in 70% of their away matches — a high BTTS rate on the road that directly informs this fixture.

Neither side holds a meaningful form edge. The 1.40 vs 0.90 PPG split is negligible — model and market signals should carry more analytical weight for this one.

In terms of goals, both squads have been finding the net consistently (using home/away splits) — Laval have seen both teams score in 60% of their games, Dijon in 70%. 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 1 meetings: Laval 0W, Dijon 1W, 0D.

Attacking output has been a hallmark of this fixture. At 5.0 goals per game across 1 meetings, the Over 2.5 has a statistically grounded case from the head-to-head record alone. The most recent clash, on 26 Dec 2022, ended 0–5 with Dijon winning.

With the win record balanced, the strongest H2H-derived signal is in the goals market. At 5.0 goals per game historically, Over 2.5 is the cleaner angle to extract from the head-to-head data.

Trading Data

Laval goal-timing and half-time pattern breakdown (20 games, 9 at home): they score before half-time in 89% of fixtures in home games; when goalless at HT, a second-half goal follows 60% of the time; BTTS occurs in 56% of their matches (home games); Over 2.5 goals lands in 78% of games (home games); Over 3.5 in 40%; they fail to score in 35% of games.

Dijon goal-timing and half-time pattern breakdown (20 games, 9 at away): they score before half-time in 56% of fixtures in away games; when goalless at HT, a second-half goal follows 43% of the time; BTTS occurs in 67% of their matches (away games); Over 2.5 goals lands in 67% of games (away games); they fail to score in 40% of games.

BTTS rates are mixed from the trading data — Laval 45% versus Dijon 55%; no strong lean in either direction. The over/under 2.5 picture is inconclusive from the in-play data (Laval 60% | Dijon 60%).

Poisson Model

The Poisson distribution model projects Laval 1.57 xG and Dijon 1.26 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: Laval attack 1.125 / defence 1.295 | Dijon attack 0.912 / defence 1.207. League average goals — home 1.153 / away 1.068. Dijon bring a strong defensive rating of 1.207 — this is suppressing Laval's projected output below what their attack strength alone would suggest. Data: 20 Laval games / 58 Dijon games used (CurrentSeason).

Result probabilities: Laval 44% | Draw 26% | Dijon 30%. Fair-value odds: Laval 2.27 | Draw 3.85 | Dijon 3.33. This is a low-confidence result — no outcome exceeds 45%. The draw at 26% is a primary outcome, not an afterthought.

Goals markets: Over 2.5 probability 54% | BTTS probability 57% | Total xG 2.83. Over/Under 2.5 is close to a coin-flip at 54%/46% — the total xG of 2.83 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 Laval as the most likely outcome at 44% — marginal model lean. Draw probability of 26% warrants consideration of Double Chance or Draw No Bet on Laval if the outright odds are short. The opposing side holds a 30% win probability per the model — this is not a banker and should be staked accordingly.

The Poisson model projects 2.83 xG in total — Over 2.5 at 54% — reasonable confidence, supported by form averaging 2.8 goals per game.

Poisson assigns a 57% probability to BTTS Yes based on the attack/defence strength model. Form rates corroborate: Laval 60% | Dijon 70% 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.

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