Logo SC Farense

SC Farense

PortugalLiga Portugal 22026-2027

Foresportia analyses SC Farense using its match data and proprietary models: Elo level, recent form, probabilities, observed reliability and verifiable market signals.

Foresportia Elo
1509Liga Portugal 2 rank : 3rd
1X2 entropy
1.55Lower = easier to read
Points volatility
1.26Standard deviation over 5 matches
Recent form
2.00Points per match over 5 matches
Model confidence
54.0%Average over 10 predictions

Current analysis: SC Farense

SC Farense are enjoying a positive run, taking 10 points from the last five recorded matches in Liga Portugal 2. Their attack is productive, with 11 goals scored against 5 conceded. More matches this season are needed to confirm this trend.

Liga Portugal 2 · 2026-2027 · 6 matches analyzed

View analyzed match details
Matches analyzed (up to 5)
DateGoals scoredGoals concededPoints
313
111
120
403
213

1. How Foresportia evaluates SC Farense

Summary of indicators actually available in Foresportia data.

1509Foresportia EloLiga Portugal 2 rank : 3rd
1.551X2 entropyLower = easier to read
1.26Points volatilityStandard deviation over 5 matches
2.00Recent formpoints / match
54.0%Model confidenceAverage over 10 predictions

2. Next match

Liga Portugal 2

SC FarenseElo : 1516
VS
FC PenafielElo : 1511
1X2 probabilities (Foresportia model)
41%31%29%
SC Farense 41%Draw 31%FC Penafiel 29%
Main signalHome win · 41%
Model confidence45.6%
StabilityRisk
View match details →

3. Prediction reliability for SC Farense

Data updated on 20 October 2026

Reliability trendCumulative monthly history
Insufficient sample
Cumulative monthly historyProfileReliabilityVolume
2024-08RiskInsufficient sample2
2024-09RiskInsufficient sample5
2024-10RiskInsufficient sample6
2024-11RiskInsufficient sample8
2024-12Risk50.0%12
2025-01Risk53.3%15
2025-02Risk47.1%17
2025-03Risk47.4%19
2025-04Risk50.0%22
2025-05Risk48.0%25
2025-08Risk50.0%28
2025-09Risk53.3%30
2025-10Risk53.1%32
2025-11Risk50.0%34
2025-12Risk47.4%38
2026-01Risk47.5%40
2026-02Risk44.2%43
2026-03Risk42.6%47
2026-04Risk39.2%51
2026-05Risk38.2%55
2026-08Risk39.0%59
2026-10Risk41.0%61
2024-08Correct and aboveInsufficient sample1
2024-09Correct and aboveInsufficient sample2
2024-10Correct and aboveInsufficient sample3
2024-11Correct and aboveInsufficient sample4
2024-12Correct and aboveInsufficient sample4
2025-01Correct and aboveInsufficient sample4
2025-02Correct and aboveInsufficient sample6
2025-03Correct and aboveInsufficient sample7
2025-04Correct and aboveInsufficient sample8
2025-05Correct and aboveInsufficient sample8
2025-08Correct and aboveInsufficient sample9
2025-09Correct and aboveInsufficient sample9
2025-10Correct and aboveInsufficient sample9
2025-11Correct and above100.0%11
2025-12Correct and above100.0%11
2026-01Correct and above91.7%12
2026-02Correct and above91.7%12
2026-03Correct and above91.7%12
2026-04Correct and above91.7%12
2026-05Correct and above91.7%12
2026-08Correct and above91.7%12
2026-10Correct and above91.7%12
2024-08Stable and aboveInsufficient sample1
2024-09Stable and aboveInsufficient sample2
2024-10Stable and aboveInsufficient sample2
2024-11Stable and aboveInsufficient sample3
2024-12Stable and aboveInsufficient sample3
2025-01Stable and aboveInsufficient sample3
2025-02Stable and aboveInsufficient sample5
2025-03Stable and aboveInsufficient sample5
2025-04Stable and aboveInsufficient sample6
2025-05Stable and aboveInsufficient sample6
2025-08Stable and aboveInsufficient sample6
2025-09Stable and aboveInsufficient sample6
2025-10Stable and aboveInsufficient sample6
2025-11Stable and aboveInsufficient sample6
2025-12Stable and aboveInsufficient sample6
2026-01Stable and aboveInsufficient sample6
2026-02Stable and aboveInsufficient sample6
2026-03Stable and aboveInsufficient sample6
2026-04Stable and aboveInsufficient sample6
2026-05Stable and aboveInsufficient sample6
2026-08Stable and aboveInsufficient sample6
2026-10Stable and aboveInsufficient sample6
2024-08Ultra stableInsufficient sample1
2024-09Ultra stableInsufficient sample1
2024-10Ultra stableInsufficient sample1
2024-11Ultra stableInsufficient sample2
2024-12Ultra stableInsufficient sample2
2025-01Ultra stableInsufficient sample2
2025-02Ultra stableInsufficient sample4
2025-03Ultra stableInsufficient sample4
2025-04Ultra stableInsufficient sample5
2025-05Ultra stableInsufficient sample5
2025-08Ultra stableInsufficient sample5
2025-09Ultra stableInsufficient sample5
2025-10Ultra stableInsufficient sample5
2025-11Ultra stableInsufficient sample5
2025-12Ultra stableInsufficient sample5
2026-01Ultra stableInsufficient sample5
2026-02Ultra stableInsufficient sample5
2026-03Ultra stableInsufficient sample5
2026-04Ultra stableInsufficient sample5
2026-05Ultra stableInsufficient sample5
2026-08Ultra stableInsufficient sample5
2026-10Ultra stableInsufficient sample5

4. Predictive profile for SC Farense

ContextObserved measureReading
Home performance1.11 pts/matchComparable return
Away performance1.17 pts/matchComparable return

5. Statistical markers for SC Farense

Team values from Foresportia sources, without a reconstructed league average.

Expected goals created at home1.12
Expected goals conceded at home0.83
Expected goals created away0.88
Expected goals conceded away0.85
Goals scored / match (5)2.20
Goals conceded / match (5)1.00

History: 73 verified matches

6. Market signals for SC Farense

MarketAverage probabilityReliabilityVolumeReading
Double chance 1269.4%70.8%24Robust signal
Double chance 1X68.1%70.8%24Robust signal
Double chance X263.1%60.9%23Recurring signal
Under 2.560.0%56.5%23Recurring signal

7. Model dynamics & analysis

Foresportia Elo trendTracks the team’s relative level as matches are played.
SC Farense
Average model confidenceShows how the model’s average certainty changes across matches.
SC Farense
xG differential trendCompares expected goals created and conceded to track the balance of chances.
PositiveNegative
Model calibrationCompares published probabilities with the rates actually observed.
Observed ratePerfect

8. Foresportia analysis

For Foresportia, SC Farense mainly combines stronger recent control and a more reliable defensive base. This page also tracks ranking, Elo evolution, goal trends and the market signals Foresportia finds most useful.

SC Farense is going through a strong control sequence, with 2.00 points per match over the last five matches and an average xG delta of 0.62.

The next detected match is SC Farense vs FC Penafiel on . The leading 1X2 read currently points to “Home win” around 41%.

AI verdictHigh predictive reliability

Correct and above: 91.7% success across 12 verified 1X2 predictions.

Verify the complete history →

Continue exploring

Upcoming matches, competition, other teams and verifiable history.

View upcoming matchesBrowse upcoming fixtures and AI analysis.→Explore Liga Portugal 2League calendar, standings and predictions.→Explore teamsBrowse analysis and profiles for other clubs.→Verify our performanceReview Foresportia’s verifiable prediction history.→

9. SC Farense FAQ

What is the next match for SC Farense on Foresportia?

This page shows SC Farense's confirmed next match with the enriched prediction probabilities that are currently available.

How should you read SC Farense's ranking and Elo?

This page includes dedicated charts for SC Farense's ranking and Elo trends, with season separators to make the evolution easier to read.

What does the strongest picks block mean for SC Farense?

It highlights the markets that performed best in the available history for SC Farense, together with sample size, hit rate and average probability.

SC Farense: AI analysis, predictions and Foresportia signals

For Foresportia, SC Farense mainly combines stronger recent control and a more reliable defensive base. This page also tracks ranking, Elo evolution, goal trends and the market signals Foresportia finds most useful.

SC Farense is going through a strong control sequence, with 2.00 points per match over the last five matches and an average xG delta of 0.62.

The next detected match is SC Farense vs FC Penafiel on . The leading 1X2 read currently points to “Home win” around 41%.