Logo Swansea City

Swansea City

EnglandChampionship2026-2027

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

Foresportia Elo
1501Championship rank : 3rd
1X2 entropy
1.55Lower = easier to read
Points volatility
0.98Standard deviation over 5 matches
Recent form
2.20Points per match over 5 matches
Model confidence
50.8%Average over 10 predictions

1. How Foresportia evaluates Swansea City

Summary of indicators actually available in Foresportia data.

1501Foresportia EloChampionship rank : 3rd
1.551X2 entropyLower = easier to read
0.98Points volatilityStandard deviation over 5 matches
2.20Recent formpoints / match
50.8%Model confidenceAverage over 10 predictions

2. Next match

Championship

Swansea CityElo : 1531
VS
FC WatfordElo : 1416
1X2 probabilities (Foresportia model)
40%31%29%
Swansea City 40%Draw 31%FC Watford 29%
Main signalHome win · 40%
Model confidence44.5%
StabilityRisk
View match details →

3. Prediction reliability for Swansea City

Data updated on 31 August 2026

Reliability trendCumulative monthly history
Insufficient sample
Cumulative monthly historyProfileReliabilityVolume
2024-08RiskInsufficient sample4
2024-09RiskInsufficient sample7
2024-10Risk41.7%12
2024-11Risk44.4%18
2024-12Risk50.0%24
2025-01Risk50.0%28
2025-02Risk48.5%33
2025-03Risk48.6%37
2025-04Risk53.5%43
2025-05Risk52.3%44
2025-08Risk54.2%48
2025-09Risk53.8%52
2025-10Risk53.6%56
2025-11Risk54.2%59
2025-12Risk54.8%62
2026-01Risk56.7%67
2026-02Risk55.7%70
2026-03Risk58.1%74
2026-04Risk55.0%80
2026-05Risk55.6%81
2026-08Risk54.8%84
2024-08Correct and aboveInsufficient sample0
2024-09Correct and aboveInsufficient sample0
2024-10Correct and aboveInsufficient sample0
2024-11Correct and aboveInsufficient sample0
2024-12Correct and aboveInsufficient sample0
2025-01Correct and aboveInsufficient sample1
2025-02Correct and aboveInsufficient sample1
2025-03Correct and aboveInsufficient sample2
2025-04Correct and aboveInsufficient sample2
2025-05Correct and aboveInsufficient sample2
2025-08Correct and aboveInsufficient sample2
2025-09Correct and aboveInsufficient sample2
2025-10Correct and aboveInsufficient sample2
2025-11Correct and aboveInsufficient sample5
2025-12Correct and aboveInsufficient sample8
2026-01Correct and aboveInsufficient sample9
2026-02Correct and above81.8%11
2026-03Correct and above81.8%11
2026-04Correct and above81.8%11
2026-05Correct and above81.8%11
2026-08Correct and above81.8%11
2024-08Stable and aboveInsufficient sample0
2024-09Stable and aboveInsufficient sample0
2024-10Stable and aboveInsufficient sample0
2024-11Stable and aboveInsufficient sample0
2024-12Stable and aboveInsufficient sample0
2025-01Stable and aboveInsufficient sample0
2025-02Stable and aboveInsufficient sample0
2025-03Stable and aboveInsufficient sample0
2025-04Stable and aboveInsufficient sample0
2025-05Stable and aboveInsufficient sample0
2025-08Stable and aboveInsufficient sample0
2025-09Stable and aboveInsufficient sample0
2025-10Stable and aboveInsufficient sample0
2025-11Stable and aboveInsufficient sample1
2025-12Stable and aboveInsufficient sample2
2026-01Stable and aboveInsufficient sample2
2026-02Stable and aboveInsufficient sample2
2026-03Stable and aboveInsufficient sample2
2026-04Stable and aboveInsufficient sample2
2026-05Stable and aboveInsufficient sample2
2026-08Stable and aboveInsufficient sample2
2024-08Ultra stableInsufficient sample0
2024-09Ultra stableInsufficient sample0
2024-10Ultra stableInsufficient sample0
2024-11Ultra stableInsufficient sample0
2024-12Ultra stableInsufficient sample0
2025-01Ultra stableInsufficient sample0
2025-02Ultra stableInsufficient sample0
2025-03Ultra stableInsufficient sample0
2025-04Ultra stableInsufficient sample0
2025-05Ultra stableInsufficient sample0
2025-08Ultra stableInsufficient sample0
2025-09Ultra stableInsufficient sample0
2025-10Ultra stableInsufficient sample0
2025-11Ultra stableInsufficient sample0
2025-12Ultra stableInsufficient sample0
2026-01Ultra stableInsufficient sample0
2026-02Ultra stableInsufficient sample0
2026-03Ultra stableInsufficient sample0
2026-04Ultra stableInsufficient sample0
2026-05Ultra stableInsufficient sample0
2026-08Ultra stableInsufficient sample0

4. Predictive profile for Swansea City

ContextObserved measureReading
Home performance1.62 pts/matchHigher observed return
Away performance1.17 pts/matchLower observed return

5. Statistical markers for Swansea City

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

Expected goals created at home0.94
Expected goals conceded at home0.94
Expected goals created away1.00
Expected goals conceded away0.96
Goals scored / match (5)1.80
Goals conceded / match (5)0.60

History: 95 verified matches

6. Market signals for Swansea City

MarketAverage probabilityReliabilityVolumeReading
Double chance 1270.9%75.0%20Major, well-documented signal
Double chance X262.8%70.6%17Robust signal
Double chance 1X70.0%63.2%19Recurring signal
Both teams to score54.9%62.5%8Promising signal, limited sample
Away draw no bet57.9%57.1%7Promising signal, limited sample

7. Model dynamics & analysis

Foresportia Elo trendTracks the team’s relative level as matches are played.
Swansea City
Average model confidenceShows how the model’s average certainty changes across matches.
Swansea City
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, Swansea City 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.

Swansea City is going through a strong control sequence, with 2.20 points per match over the last five matches and an average xG delta of -0.26.

The next detected match is Swansea City vs FC Watford on . The leading 1X2 read currently points to “Home win” around 40%.

AI verdictHigh predictive reliability

Correct and above: 81.8% success across 11 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 ChampionshipLeague calendar, standings and predictions.→Explore teamsBrowse analysis and profiles for other clubs.→Verify our performanceReview Foresportia’s verifiable prediction history.→

9. Swansea City FAQ

What is the next match for Swansea City on Foresportia?

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

How should you read Swansea City's ranking and Elo?

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

What does the strongest picks block mean for Swansea City?

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

Swansea City: AI analysis, predictions and Foresportia signals

For Foresportia, Swansea City 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.

Swansea City is going through a strong control sequence, with 2.20 points per match over the last five matches and an average xG delta of -0.26.

The next detected match is Swansea City vs FC Watford on . The leading 1X2 read currently points to “Home win” around 40%.