Farense 1-2 Santa Clara – Result & Analysis
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Poisson model rates Santa Clara at 36%, yet other data sources diverge — this Farense vs Santa Clara fixture contains genuine analytical tension.
✍️ Match Preview
Pre-Match Analysis
Farense and Santa Clara meet at Estádio de São Lúis in Primeira Liga, Regular Season - 34. This fixture gets under way on Saturday 17 May 2025 at 18:00 UTC.
Current Form
Farense's overall Primeira Liga record this term: 3W 2D 5L from 10 games (1.10 PPG). Last five: W L L W W. They are averaging 0.90 goals per game and conceding 1.10 — a modest attacking output that tempers optimism on the Over 2.5 market. 2 clean sheets from 10 outings provides some defensive foundation.
Farense's form when playing at home: 1W 2D 7L across 10 games at Estádio de São Lúis this term (0.50 PPG). At home they are averaging 0.50 goals scored and 1.20 conceded per game. At home, both teams have scored in only 30% of games — reinforcing BTTS No as the home-venue-backed angle. Somewhat surprisingly, their home PPG of 0.50 lags behind their overall 1.10 — the home advantage has not translated into superior results at Estádio de São Lúis this season.
Santa Clara (all games): 4W 3D 3L across 10 Primeira Liga outings this term — 1.50 points per game. Last five: L D W D W. Their scoring rate of 0.90 per game is modest, conceding 0.80 — not a side to back heavily on the Over 2.5 from their form alone. Defensively, 0.80 goals conceded per game is elite-level — a side this difficult to score against is a real threat to Over 2.5 and BTTS Yes. 3 clean sheets from 10 outings suggests some defensive organisation.
Santa Clara's form when playing away from home: 3W 4D 3L across 10 road games this term (1.30 PPG). Away from home they average 0.80 goals scored and 0.90 conceded per game.
Neither side holds a meaningful form edge. The 1.10 vs 1.50 PPG split is negligible — model and market signals should carry more analytical weight for this one.
H2H History
Form and model data should carry more weight here — the historical record is too balanced to provide a directional steer. From 1 meetings: Farense 0W, Santa Clara 0W, 1D.
Scoring has been limited when these teams have met. The 1 previous contests averaged 0.0 goals, making the Under 2.5 the historically backed angle in the goals market. The most recent clash, on 5 Jan 2025, ended 0–0 with a draw.
With a balanced win record and just 0.0 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
Farense half-time and goal-timing data (33 games, 16 at home): they score before half-time in 50% of fixtures in home games; when goalless at HT, a second-half goal follows 75% of the time; BTTS occurs in 31% of their matches (home games); Over 2.5 goals lands in 38% of games (home games); they fail to score in 48% of games.
Santa Clara half-time and goal-timing data (33 games, 16 at away): they score before half-time in 62% of fixtures in away games; when goalless at HT, a second-half goal follows 85% of the time; BTTS occurs in 44% of their matches (away games); Over 2.5 goals lands in 25% of games (away games); they fail to score in 33% of games.
BTTS rates are mixed from the trading data — Farense 42% versus Santa Clara 39%; 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 (Farense 39% | Santa Clara 27%).
Poisson Model
The Poisson distribution model projects Farense 0.76 xG and Santa Clara 0.86 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: Farense attack 0.640 / defence 0.984 | Santa Clara attack 0.720 / defence 0.912. League average goals — home 1.293 / away 1.217. Farense's attack strength of 0.640 is below the league average — the 0.76 xG projection reflects a team that scores at a discount to the division norm. Data: 67 Farense games / 33 Santa Clara games used (CurrentSeason).
Result probabilities: Farense 29% | Draw 35% | Santa Clara 36%. Fair-value odds: Farense 3.45 | Draw 2.86 | Santa Clara 2.78. This is a low-confidence result — no outcome exceeds 45%. The draw at 35% is a primary outcome, not an afterthought.
Goals markets: Over 2.5 probability 22% | BTTS probability 31% | Total xG 1.62. Under 2.5 is the strongly backed market at 78% probability — total xG of 1.62 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 69% — Farense's lower xG of 0.76 creates a meaningful probability of a scoring blank, which suppresses the BTTS Yes probability to 31%.
Final Verdict
Poisson rates Santa Clara as the most likely outcome at 36% — marginal model lean. Draw probability of 35% warrants consideration of Double Chance or Draw No Bet on Santa Clara if the outright odds are short. The opposing side holds a 29% win probability per the model — this is not a banker and should be staked accordingly.
The Poisson model projects 1.62 xG in total — Under 2.5 at 22% — reasonable confidence, supported by form averaging 1.7 goals per game.
Poisson assigns a 31% probability to BTTS No based on the attack/defence strength model. Form rates corroborate: Farense 30% | Santa Clara 50% BTTS from recent games.
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💡 Key Insights
🏟️ Match Context
• Fixture: Farense vs Santa Clara | Competition: Primeira Liga, Regular Season - 34 | Venue: Estádio de São Lúis • Kick-off: Saturday 17 May 2025, 18:00 UTC • Data inputs: H2H history, form splits, prediction model signals, and market pricing
📊 Statistical Prediction
• Poisson result probabilities: Farense 29% | Draw 35% | Santa Clara 36% • Poisson goal markets: Over 2.5 22% | BTTS 31% | xG Farense 0.76 / Santa Clara 0.86 • Poisson strength factors: Farense attack 0.640 / def 0.984 | Santa Clara attack 0.720 / def 0.912 | league avg home 1.293 / away 1.217 • Poisson stance: Santa Clara (36%) — low confidence — close contest
🧮 Prediction Model
0.76
Farense xG
Expected Goals
0.86
Santa Clara xG
31%
BTTS
48%
Over 1.5
22%
Over 2.5
8%
Over 3.5
Full score-by-score matrix & model internals in the "Full Poisson Detail" section below ↓
⚠️ This analysis is generated algorithmically from statistical data and is intended for informational purposes only. It does not constitute betting advice. Please gamble responsibly.
❓ Frequently Asked Questions
What time does Farense vs Santa Clara kick off?
Farense vs Santa Clara kicked off at 18:00 on Saturday 17 May 2025 at Estádio de São Lúis.
What was the final score in Farense vs Santa Clara?
Farense 1 - 2 Santa Clara.
Where is Farense vs Santa Clara being played?
The match is being played at Estádio de São Lúis.
What competition is Farense vs Santa Clara part of?
Farense vs Santa Clara is a Regular Season - 34 fixture in the Primeira Liga (Portugal).
Who is favourite to win Farense vs Santa Clara?
Our statistical model gives Farense a 29% chance of winning, Santa Clara a 36% chance, and a 35% chance of a draw — making Santa Clara the favourite.
Will both teams score in Farense vs Santa Clara?
Our model estimates a 31% probability that both Farense and Santa Clara will score (BTTS).
Will Farense vs Santa Clara have over 2.5 goals?
Our model puts the probability of over 2.5 goals in this match at 22%.
What is the head-to-head record between Farense and Santa Clara?
Record (1 meetings): Farense 0W | Draws 1 | Santa Clara 0W.
What form are Farense and Santa Clara in?
Farense (all comps): 3W-2D-5L in 10 | 1.10 PPG | GF 0.90 / GA 1.10 | L5 W-L-L-W-W. Santa Clara (all comps): 4W-3D-3L in 10 | 1.50 PPG | GF 0.90 / GA 0.80 | L5 L-D-W-D-W.
🧮 Model Insight
Behind the Numbers
Farense's attacking strength (0.64x league average) is weighed against Santa Clara's defensive record (0.91x) to produce a home expected-goals figure of 0.76. Flip it around — Santa Clara's attack (0.72x) against Farense's defence (0.98x) — and the away total comes out at 0.86.
These ratings are built from 67/33 games of current-season data — a full enough sample to trust.
Most Likely Scorelines
The model's single most probable exact score is 0-0, at 21.5%. Close behind: 0-1 (15.4%), 1-1 (14.6%). Those top three scorelines alone account for 52% of the model's total probability mass — a relatively concentrated, predictable distribution for this fixture.
Most Likely Outcome
Santa Clara Win
29%
3.40
35%
2.85
36%
2.81
Top 3 Most Likely Scorelines
0 β 0
19.8%
Draw
Most likely
0 β 1
17.1%
Away win
1 β 0
15.0%
Home win
Expected Goals & Win Odds
0.76
Farense xG
Total xG
1.62
0.86
Santa Clara xG
3.40
29%
Home win
2.85
35%
Draw
2.81
36%
Away win
Goals Markets
48%
Over 1.5
2.08
52%
Under 1.5
1.92
22%
Over 2.5
4.55
78%
Under 2.5
1.28
8%
Over 3.5
12.50
92%
Under 3.5
1.09
2%
Over 4.5
50.00
98%
Under 4.5
1.02
Match Markets
Both Teams to Score
31%
BTTS Yes
3.27
69%
BTTS No
1.44
Clean Sheet
42%
2.37
47%
2.13
Win to Nil
12%
8.05
17%
5.99
Score Probability Matrix (%)
| H \ A | 0 | 1 | 2 | 3 | 4 | 5 |
|---|---|---|---|---|---|---|
| 0 | 19.8 | 17.1 | 7.4 | 2.1 | 0.5 | 0.1 |
| 1 | 15.0 | 12.9 | 5.6 | 1.6 | 0.3 | 0.1 |
| 2 | 5.7 | 4.9 | 2.1 | 0.6 | 0.1 | – |
| 3 | 1.4 | 1.2 | 0.5 | 0.2 | – | – |
| 4 | 0.3 | 0.2 | 0.1 | – | – | – |
| 5 | – | – | – | – | – | – |
Green = home win Β· Grey = draw Β· Amber = away win Β· Outlined cell = most likely score
▶ Model Internals
❓ Frequently Asked Questions
What is the most likely scoreline for Farense vs Santa Clara?
Our Poisson model rates 0-0 as the single most likely exact scoreline, at 21.5%.
How many goals are Farense and Santa Clara expected to score?
The model projects 0.76 expected goals for Farense and 0.86 for Santa Clara, a combined total of 1.62.
How confident is the prediction model for Farense vs Santa Clara?
Not very — the model's leading outcome sits at just 36%, meaning this is rated as a genuinely open contest with no dominant favourite.
📈 Form Insight
The Form Picture
Across their last 33 outings, Farense have picked up 0.82 PPG on a 6W 9D 18L record — W-L-L-W-W across the most recent five.
Santa Clara's form line: 16W 6D 11L from 33 games, 1.64 PPG, last five L-D-W-D-W.
Put side by side, Santa Clara are the form team by 0.82 points per game — a gap wide enough to matter, though form alone rarely tells the whole story against Farense.
Home & Away Splits
On home soil, Farense have posted 0.69 PPG from 16 outings (3W 2D 11L).
On the road, Santa Clara have gone 6W 4D 6L from 16 away games — 1.38 PPG when travelling.
Comparing the two in their relevant venue splits, Santa Clara come out ahead — a more targeted read than the overall PPG figures above, since it strips out games played in the opposite context.
Scoring & Defensive Trends
Farense are averaging 0.73 goals scored and 1.33 conceded per game recently; Santa Clara are on 1.03 scored and 0.94 conceded.
Last 33 Results — Primeira Liga
Current season: same league only · Previous season: all leagues (covers promoted/relegated teams)
Farense
Current Season
Santa Clara
Current Season
❓ Frequently Asked Questions
What form are Farense and Santa Clara in coming into this match?
Farense have gone 6W 9D 18L in their last 33 games (0.82 PPG), while Santa Clara have gone 16W 6D 11L in their last 33 (1.64 PPG).
Which team has the better venue record — Farense at home or Santa Clara away?
Santa Clara's away record (1.38 PPG) is the stronger of the two venue-specific splits — Farense at home: 0.69 PPG; Santa Clara away: 1.38 PPG.
Have Farense or Santa Clara been keeping clean sheets recently?
Farense have kept a clean sheet in 21% of their recent games, Santa Clara in 33%.
⚔️ Rivalry Insight
History of the Fixture
On record, these two have faced off 2 times since January 2025 — enough meetings to establish some real patterns. Every recorded meeting has come in Primeira Liga. It has been a while since the last meeting — 17 May 2025, some 1 year back — so squads and form on both sides may look very different now.
Last 2 Meetings
0
Farense
1
Draws
1
Santa Clara
Recent Meetings
❓ Frequently Asked Questions
What is the head-to-head record between Farense and Santa Clara?
From 2 meetings on record, Farense have won 0, Santa Clara have won 1, and 1 have been drawn.
When did Farense and Santa Clara last play each other?
They last met on 17 May 2025, when Farense 1-2 Santa Clara.
Who has won more matches between Farense and Santa Clara?
Santa Clara have the better head-to-head record, with 1 wins from 2 meetings.
📈 Trading Insight
How These Sides Start
Farense see a goal before the break in 50% of their matches.
Santa Clara are typically involved in an early goal — the half-time board shows at least one in 62% of their matches. They've gone in front at half-time 31% of the time.
Goals & Clean Sheets
BTTS sits in mixed territory for this pairing — Farense 31%, Santa Clara 44% — no strong lean either way from the trading data alone.
Low-scoring games have been more typical here — Over 2.5 sits at just 38% for Farense and 25% for Santa Clara.
On the defensive side: Farense have failed to score in 56% of games; Santa Clara in 38%.
Current season: same league only. Previous season: all leagues (covers promoted/relegated teams). All = any venue | Venue = Farense home games / Santa Clara away games. HT metrics require half-time score data β shown as β where unavailable.
❓ Frequently Asked Questions
Do both teams usually score when Farense play Santa Clara?
Not especially — both teams scoring has occurred in only 31% of Farense's recent matches and 44% of Santa Clara's, a rate that leans toward BTTS No.
Is Farense vs Santa Clara usually a high-scoring fixture?
Not particularly — Over 2.5 goals has come in for only 38% of Farense's recent games and 25% of Santa Clara's, pointing to a tighter contest.
Do Farense and Santa Clara tend to score early?
Farense have had a goal before half-time in 50% of their recent matches, Santa Clara in 62% — a useful reference point for first-half goal markets.
Prediction vindicated as Santa Clara edge out Farense 1-2.
📝 Match Report
How It Unfolded
Santa Clara beat Farense 1-2 at Estádio de São Lúis, Regular Season - 34, in the Primeira Liga. That is the final score; the rest of this report grades it against what the data forecast beforehand.
The Model vs The Result
The Poisson model went into this projecting Farense 0.76 xG and Santa Clara 0.86 xG, a combined 1.62. The scoreboard read 1-2 for 3 actual goals. Santa Clara outscored their 0.86 projection by 1.1. Those figures were built on strength ratings of Farense attack 0.64 / defence 0.98 against Santa Clara attack 0.72 / defence 0.91, drawn from 67/33 games (CurrentSeason).
On the result, the model split it Farense 29% | Draw 35% | Santa Clara 36%, with Santa Clara to win its most likely call at 36%. The scoreboard confirmed the model's leading pick.
Goals & Markets
The model rated Over 2.5 goals at 22%. The game delivered 3, so it went over — a miss for the goals model. Over 1.5 had been 48% and landed. On both teams to score, the model sat at 31% and the match saw both sides score — a miss on BTTS. Historically the two sides average 33% Over 2.5 across their same-competition games (Farense 39%, Santa Clara 27%), a base rate that pointed the other way from today's over. Their combined BTTS history runs at 41%, which did not match the both-scored outcome.
Trading Patterns vs Reality
Farense's trading profile (33 games, 16 home) set some clear expectations: BTTS lands in 42% of their matches — today it did.
Santa Clara's trading profile (33 games, 16 away) set some clear expectations: BTTS lands in 39% of their matches — today it did; they keep a clean sheet 33% of the time, and conceded here.
Form vs Result
On form, Santa Clara arrived the stronger side — 1.64 PPG against 0.82. The form guide was vindicated by the result. Santa Clara (home/away splits) scored 2 against a 1.00 average — above their attacking norm.
Verdict
Grading the result against the stored data, 2 of 4 pre-match signals came in: result (hit), Over 2.5 (miss), BTTS (miss), form (hit). A mixed scorecard — the data caught the broad shape of the game but not every market.
💡 Key Insights
⚠️ This match report is generated algorithmically from the final score, our prediction model, and each team's historical form and trading data. Analysis is for informational purposes only.