🎯

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

📋

Poisson model rates Santa Clara at 37%, yet other data sources diverge — this Santa Clara vs Farense fixture contains genuine analytical tension.

✍️ Match Preview

Full Analysis

Estádio de São Miguel plays host to Santa Clara versus Farense in Primeira Liga, Regular Season - 17. Kick-off: Sunday 5 January 2025 at 15:30 UTC.

Form & Momentum

Santa Clara have collected 1.80 PPG across 10 Primeira Liga outings this season: 6W 0D 4L. Last five: W W L L W. They are averaging 0.80 goals per game and conceding 0.80 — a modest attacking output that tempers optimism on the Over 2.5 market. Defensively, conceding just 0.80 per game is an exceptional defensive record — one of the tightest in the division. 4 clean sheets in 10 games (40%) reflects a solid defensive base. Both teams have scored in only 20% of their games — a low BTTS rate that suggests clean sheets are a regular occurrence. This season is still relatively young for Santa Clara, so this record blends games from this season and last.

Santa Clara's home record at Estádio de São Miguel: 6W 0D 2L from 8 Primeira Liga appearances (2.25 PPG). At home they are averaging 1.00 goals scored and 0.75 conceded per game. 4 clean sheets from 8 home games (50%) — they are an exceptionally hard side to score against at Estádio de São Miguel. At home, both teams have scored in only 25% of games — reinforcing BTTS No as the home-venue-backed angle.

Farense's overall Primeira Liga record this term: 3W 4D 3L from 10 games (1.30 PPG). Last five: W D L W D. Their scoring rate of 0.90 per game is modest, conceding 1.00 — 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. This season is still relatively young for Farense, so this record blends games from this season and last.

Farense's away record: 2W 3D 5L from 10 road trips in Primeira Liga this season (0.90 PPG). Away from home they average 0.80 goals scored and 1.20 conceded per game.

The points-per-game gap of 0.50 in Santa Clara's favour (1.80 vs 1.30) is a statistically meaningful difference. The hosts are the form pick here, with draw protection the sensible hedge given the away side's competitiveness.

Trading Data

Santa Clara goal-timing and half-time pattern breakdown (16 games, 8 at home): they score before half-time in 62% of fixtures in home games; when goalless at HT, a second-half goal follows 100% of the time; BTTS occurs in 25% of their matches (home games); Over 2.5 goals lands in 25% of games (home games); they fail to score in 31% of games.

Farense goal-timing and half-time pattern breakdown (16 games, 8 at away): they score before half-time in 62% of fixtures in away games; when goalless at HT, a second-half goal follows 80% of the time; BTTS occurs in 50% of their matches (away games); Over 2.5 goals lands in 25% of games (away games); they fail to score in 44% of games.

BTTS rates are mixed from the trading data — Santa Clara 31% versus Farense 44%; 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 (Santa Clara 31% | Farense 38%).

Poisson Model

The Poisson distribution model projects Santa Clara 1.03 xG and Farense 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: Santa Clara attack 0.753 / defence 0.932 | Farense attack 0.844 / defence 0.984. League average goals — home 1.390 / away 1.180. Santa Clara's attack strength of 0.753 is below the league average — the 1.03 xG projection reflects a team that scores at a discount to the division norm. Data: 16 Santa Clara games / 50 Farense games used (CurrentSeason).

Result probabilities: Santa Clara 37% | Draw 32% | Farense 32%. Fair-value odds: Santa Clara 2.70 | Draw 3.12 | Farense 3.12. This is a low-confidence result — no outcome exceeds 45%. The draw at 32% is a primary outcome, not an afterthought.

Goals markets: Over 2.5 probability 31% | BTTS probability 39% | Total xG 1.96. Under 2.5 is the strongly backed market at 69% probability — total xG of 1.96 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 39% is moderate — neither team is projected to score with enough certainty to make Yes a clear standalone call.

Picks & Verdict

On the Poisson output, Santa Clara are the pick at 37% — marginal model lean. Current-season form corroborates the Poisson lean — partial multi-source support. Draw probability of 32% warrants consideration of Double Chance or Draw No Bet on Santa Clara 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.

On the goals line, Poisson's 1.96 combined xG gives a 31% probability to Under 2.5 — reasonable, supported by form averaging 1.9 goals per game.

The Poisson model's BTTS call is No at 39%. Form rates corroborate: Santa Clara 25% | Farense 40% 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