🎯

Fixture360 only lists fixtures from a curated set of leagues, chosen specifically to keep our prediction model accurate.

📋

Poisson rates Brescia at 43% — the H2H record provides partial corroboration, though signals are mixed in this Brescia vs Sampdoria encounter.

✍️ Match Preview

Analysis

Sampdoria make the trip to Stadio Mario Rigamonti to face Brescia in Serie B, Regular Season - 21. The match kicks off on Sunday 12 January 2025 at 18:30 UTC.

Current Form

Brescia's overall Serie B record this term: 1W 7D 2L from 10 games (1.00 PPG). Last five: L D D D D. They are averaging 1.00 goals per game and conceding 1.10 — 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 60% of their games — a high BTTS rate that carries real weight in the goals markets. This season is still relatively young for Brescia, so this record blends games from this season and last.

Brescia's home record at Stadio Mario Rigamonti: 3W 4D 3L from 10 Serie B appearances (1.30 PPG). At home they are averaging 1.70 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.

Sampdoria have collected 0.60 PPG across 10 Serie B outings this season: 0W 6D 4L. Last five: L D D D L. Their scoring rate of 0.70 per game is modest, conceding 1.60 — 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. This season is still relatively young for Sampdoria, so this record blends games from this season and last.

When travelling in Serie B this season, Sampdoria have posted 2W 4D 4L from 10 away outings — 1.00 PPG. Away from home they average 1.60 goals scored and 2.10 conceded per game. Both teams have scored in 80% of their away matches — a high BTTS rate on the road that directly informs this fixture.

Neither side holds a meaningful form edge. The 1.00 vs 0.60 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) — Brescia have seen both teams score in 60% of their games, Sampdoria in 80%. That combined rate is a strong statistical case for BTTS Yes as a standalone play.

H2H Analysis

The head-to-head record is closely matched — Brescia lead 2W to 0W over the last 3 encounters, with 1 draws, though neither side has established a commanding advantage.

The 3 previous meetings have averaged 2.3 goals per game — a neutral rate that provides no strong lean on the goals market from the H2H alone. The most recent clash, on 3 Nov 2024, ended 1–0 with Brescia 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.

Trading Data

Brescia goal-timing and half-time pattern breakdown (59 games, 29 at home): they score before half-time in 59% of fixtures in home games; when goalless at HT, a second-half goal follows 62% of the time; BTTS occurs in 52% of their matches (home games); Over 2.5 goals lands in 38% of games (home games); they fail to score in 32% of games.

Sampdoria goal-timing and half-time pattern breakdown (59 games, 29 at away): they score before half-time in 69% of fixtures in away games; when goalless at HT, a second-half goal follows 81% of the time; BTTS occurs in 69% of their matches (away games); Over 2.5 goals lands in 55% of games (away games).

BTTS rates are mixed from the trading data — Brescia 54% versus Sampdoria 61%; no strong lean in either direction. The over/under 2.5 picture is inconclusive from the in-play data (Brescia 36% | Sampdoria 49%).

Poisson Model

The Poisson distribution model projects Brescia 1.96 xG and Sampdoria 1.68 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: Brescia attack 1.207 / defence 1.368 | Sampdoria attack 1.187 / defence 1.349. League average goals — home 1.200 / away 1.033. Sampdoria bring a strong defensive rating of 1.349 — this is suppressing Brescia's projected output below what their attack strength alone would suggest. Data: 58 Brescia games / 58 Sampdoria games used (CurrentSeason).

Result probabilities: Brescia 43% | Draw 25% | Sampdoria 32%. Fair-value odds: Brescia 2.33 | Draw 4.00 | Sampdoria 3.12. This is a low-confidence result — no outcome exceeds 45%. The draw at 25% is a primary outcome, not an afterthought.

Goals markets: Over 2.5 probability 70% | BTTS probability 72% | Total xG 3.63. Over 2.5 is the model's clear signal at 70% — a total xG of 3.63 means the expected score alone exceeds the 2.5 threshold, making the Over not just likely but structurally supported by both sides' attack/defence profiles. BTTS Yes at 72% reflects that both xG figures (1.96 / 1.68) are above the threshold where scoring blanks become the primary outcome — both sides are projected to find the net.

Final Verdict

Poisson rates Brescia as the most likely outcome at 43% — marginal model lean. Draw probability of 25% warrants consideration of Double Chance or Draw No Bet on Brescia if the outright odds are short. The opposing side holds a 32% win probability per the model — this is not a banker and should be staked accordingly.

The Poisson model projects 3.63 xG in total — Over 2.5 at 70% — reasonable confidence, supported by form averaging 3.5 goals per game.

Poisson assigns a 72% probability to BTTS Yes based on the attack/defence strength model. Form rates corroborate: Brescia 60% | Sampdoria 80% BTTS from recent games.

The outsider holds a 32% 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