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

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Pre-Match Analysis

Empoli and Genoa meet at Stadio Carlo Castellani – Computer Gross Arena in Serie A, Regular Season - 18. This fixture gets under way on Saturday 28 December 2024 at 14:00 UTC.

Current Form

Empoli's overall Serie A record this term: 2W 3D 5L from 10 games (0.90 PPG). Last five: D L W L L. They are averaging 1.00 goals per game and conceding 1.50 — a modest attacking output that tempers optimism on the Over 2.5 market. 1 clean sheet from 10 outings provides some defensive foundation. This season is still relatively young for Empoli, so this record blends games from this season and last.

Empoli's form when playing at home: 2W 5D 3L across 10 games at Stadio Carlo Castellani – Computer Gross Arena this term (1.10 PPG). At home they are averaging 0.40 goals scored and 0.70 conceded per game. 5 clean sheets from 10 home games (50%) — they are an exceptionally hard side to score against at Stadio Carlo Castellani – Computer Gross Arena. At home, both teams have scored in only 20% of games — reinforcing BTTS No as the home-venue-backed angle.

Genoa (all games): 2W 5D 3L across 10 Serie A outings this term — 1.10 points per game. Last five: D W D D L. Their scoring rate of 0.90 per game is modest, conceding 1.10 — not a side to back heavily on the Over 2.5 from their form alone. 4 clean sheets in 10 outings (40%) underlines their defensive solidity. This season is still relatively young for Genoa, so this record blends games from this season and last.

Genoa's away record: 3W 3D 4L from 10 road trips in Serie A this season (1.20 PPG). Away from home they average 0.90 goals scored and 1.50 conceded per game. 4 clean sheets from 10 away games (40%) shows they are capable of shutting up shop on the road. Away from home, both teams have scored in only 30% of games — a low rate that backs BTTS No when they travel.

A near-identical PPG reading — 0.90 for Empoli, 1.10 for Genoa — means the form record is uninstructive on result selection. The goals and market sections will carry greater evidential weight.

Both sides have a clean-sheet tendency (using home/away splits) — Empoli have seen both teams score in just 20% of their matches, Genoa in only 30%. BTTS No has clear statistical support from the form record of both squads.

Head-to-Head

Form and model data should carry more weight here — the historical record is too balanced to provide a directional steer. From 4 meetings: Empoli 0W, Genoa 0W, 4D.

Scoring has been limited when these teams have met. The 4 previous contests averaged 1.5 goals, making the Under 2.5 the historically backed angle in the goals market. The most recent clash, on 3 Feb 2024, ended 0–0 with a draw.

With a balanced win record and just 1.5 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

Empoli — key trading statistics (55 games, 26 at home): they score before half-time in 46% of fixtures in home games; when goalless at HT, a second-half goal follows 67% of the time; BTTS occurs in 23% of their matches (home games); Over 2.5 goals lands in 27% of games (home games); they fail to score in 51% of games.

Genoa — key trading statistics (55 games, 26 at away): they score before half-time in 54% of fixtures in away games; when goalless at HT, a second-half goal follows 74% of the time; BTTS occurs in 46% of their matches (away games); Over 2.5 goals lands in 38% of games (away games); they fail to score in 31% of games.

BTTS rates are mixed from the trading data — Empoli 36% versus Genoa 53%; 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 (Empoli 33% | Genoa 42%).

Poisson Model

The Poisson distribution model projects Empoli 0.75 xG and Genoa 0.80 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: Empoli attack 0.624 / defence 0.789 | Genoa attack 0.765 / defence 0.901. League average goals — home 1.336 / away 1.330. Empoli's attack strength of 0.624 is below the league average — the 0.75 xG projection reflects a team that scores at a discount to the division norm. Empoli's defence rating of 0.789 is below average — the home backline is amplifying the visitor's projected output. Data: 55 Empoli games / 55 Genoa games used (CurrentSeason).

Result probabilities: Empoli 31% | Draw 36% | Genoa 34%. Fair-value odds: Empoli 3.23 | Draw 2.78 | Genoa 2.94. 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 20% | BTTS probability 29% | Total xG 1.56. Under 2.5 is the strongly backed market at 80% probability — total xG of 1.56 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 71% — Empoli's lower xG of 0.75 creates a meaningful probability of a scoring blank, which suppresses the BTTS Yes probability to 29%.

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 31% and away win at 34% are close enough that backing either outright carries significant draw exposure.

The Poisson model projects 1.56 xG in total — Under 2.5 at 20% — strong confidence, supported by form averaging 1.8 goals per game and H2H averaging 1.5 goals per meeting.

Poisson assigns a 29% probability to BTTS No based on the attack/defence strength model. Form rates corroborate: Empoli 20% | Genoa 30% BTTS from recent games.

The outsider holds a 31% 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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