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
1577Championship rank : 1st
1X2 entropy
1.56Lower = easier to read
Points volatility
1.47Standard deviation over 5 matches
Recent form
1.80Points per match over 5 matches
Model confidence
48.5%Average over 10 predictions

Current analysis: Swansea City

Swansea City have taken 9 points from a possible 15 across the last five recorded matches in Championship. The team have scored 7 goals and conceded 6. More matches this season are needed to confirm this trend.

Championship · 2026-2027 · 10 matches analyzed

View analyzed match details
Matches analyzed (up to 5)
DateGoals scoredGoals concededPoints
130
313
213
103
010

1. How Foresportia evaluates Swansea City

Summary of indicators actually available in Foresportia data.

1577Foresportia EloChampionship rank : 1st
1.561X2 entropyLower = easier to read
1.47Points volatilityStandard deviation over 5 matches
1.80Recent formpoints / match
48.5%Model confidenceAverage over 10 predictions

2. Next match

Championship

Queens Park RangersElo : 1466
VS
Swansea CityElo : 1560
1X2 probabilities (Foresportia model)
31%30%39%
Queens Park Rangers 31%Draw 30%Swansea City 39%
Main signalAway win · 39%
Model confidence42.2%
StabilityRisk
View match details →

3. Prediction reliability for Swansea City

Data updated on 21 October 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
2026-09Risk55.7%88
2026-10Risk56.0%91
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
2026-09Correct and above81.8%11
2026-10Correct 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
2026-09Stable and aboveInsufficient sample2
2026-10Stable 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
2026-09Ultra stableInsufficient sample0
2026-10Ultra stableInsufficient sample0

4. Predictive profile for Swansea City

ContextObserved measureReading
Home performance1.65 pts/matchHigher observed return
Away performance1.18 pts/matchLower observed return

5. Statistical markers for Swansea City

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

Expected goals created at home0.95
Expected goals conceded at home0.89
Expected goals created away0.97
Expected goals conceded away0.95
Goals scored / match (5)1.40
Goals conceded / match (5)1.20

History: 102 verified matches

6. Market signals for Swansea City

MarketAverage probabilityReliabilityVolumeReading
Double chance 1270.7%78.6%28Major, well-documented signal
Double chance X262.6%64.0%25Recurring signal
Double chance 1X69.2%63.0%27Recurring signal
Away draw no bet57.5%66.7%9Promising signal, limited sample
Both teams to score54.0%60.0%15Recurring signal

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 draws value from its home edge. This page also tracks ranking, Elo evolution, goal trends and the market signals Foresportia finds most useful.

Swansea City still needs to be read through recent form, Elo and its advanced production indicators.

The next detected match is Queens Park Rangers vs Swansea City on . The leading 1X2 read currently points to “Away win” around 39%.

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.

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 draws value from its home edge. This page also tracks ranking, Elo evolution, goal trends and the market signals Foresportia finds most useful.

Swansea City still needs to be read through recent form, Elo and its advanced production indicators.

The next detected match is Queens Park Rangers vs Swansea City on . The leading 1X2 read currently points to “Away win” around 39%.