Logo Manchester City

Manchester City

City

EnglandPremier League2026-2027

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

Foresportia Elo
1787Premier League rank : 2nd
1X2 entropy
1.34Lower = easier to read
Points volatility
1.47Standard deviation over 5 matches
Recent form
1.20Points per match over 5 matches
Model confidence
61.4%Average over 10 predictions

Current analysis: Manchester City

The goal tally for Manchester City is level across the last five recorded matches in Premier League: 8 scored and the same number conceded. The team have taken 6 points from a possible 15 over these matches. More matches this season are needed to confirm this trend.

Premier League · 2026-2027 · 9 matches analyzed

View analyzed match details
Matches analyzed (up to 5)
DateGoals scoredGoals concededPoints
303
323
120
010
130

1. How Foresportia evaluates Manchester City

Summary of indicators actually available in Foresportia data.

1787Foresportia EloPremier League rank : 2nd
1.341X2 entropyLower = easier to read
1.47Points volatilityStandard deviation over 5 matches
1.20Recent formpoints / match
61.4%Model confidenceAverage over 10 predictions

2. Next match

Premier League

Manchester CityElo : 1676
VS
FC FulhamElo : 1510
1X2 probabilities (Foresportia model)
62%24%14%
Manchester City 62%Draw 24%FC Fulham 14%
Main signalHome win · 62%
Model confidence63.4%
StabilityStable and above
View match details →

3. Prediction reliability for Manchester City

Data updated on 14 November 2026

Reliability trendCumulative monthly history
82.2%
Cumulative monthly historyProfileReliabilityVolume
2024-08RiskInsufficient sample1
2024-09RiskInsufficient sample3
2024-10RiskInsufficient sample3
2024-11RiskInsufficient sample5
2024-12RiskInsufficient sample9
2025-01Risk40.0%10
2025-02Risk46.2%13
2025-03Risk42.9%14
2025-04Risk40.0%15
2025-05Risk40.0%15
2025-08Risk41.2%17
2025-09Risk38.9%18
2025-10Risk38.9%18
2025-11Risk36.8%19
2025-12Risk36.8%19
2026-01Risk35.0%20
2026-02Risk31.8%22
2026-03Risk31.8%22
2026-04Risk37.5%24
2026-05Risk36.0%25
2026-08Risk38.5%26
2026-09Risk40.7%27
2026-10Risk40.0%30
2026-11Risk40.0%30
2024-08Correct and aboveInsufficient sample2
2024-09Correct and aboveInsufficient sample3
2024-10Correct and aboveInsufficient sample6
2024-11Correct and aboveInsufficient sample7
2024-12Correct and above80.0%10
2025-01Correct and above84.6%13
2025-02Correct and above85.7%14
2025-03Correct and above80.0%15
2025-04Correct and above84.2%19
2025-05Correct and above82.6%23
2025-08Correct and above83.3%24
2025-09Correct and above84.6%26
2025-10Correct and above82.8%29
2025-11Correct and above84.4%32
2025-12Correct and above86.5%37
2026-01Correct and above80.5%41
2026-02Correct and above81.8%44
2026-03Correct and above78.3%46
2026-04Correct and above78.7%47
2026-05Correct and above76.5%51
2026-08Correct and above76.9%52
2026-09Correct and above77.4%53
2026-10Correct and above77.8%54
2026-11Correct and above76.4%55
2024-08Stable and aboveInsufficient sample2
2024-09Stable and aboveInsufficient sample3
2024-10Stable and aboveInsufficient sample6
2024-11Stable and aboveInsufficient sample6
2024-12Stable and aboveInsufficient sample8
2025-01Stable and above90.0%10
2025-02Stable and above90.9%11
2025-03Stable and above83.3%12
2025-04Stable and above85.7%14
2025-05Stable and above83.3%18
2025-08Stable and above84.2%19
2025-09Stable and above85.7%21
2025-10Stable and above86.4%22
2025-11Stable and above88.0%25
2025-12Stable and above90.0%30
2026-01Stable and above82.4%34
2026-02Stable and above83.8%37
2026-03Stable and above81.6%38
2026-04Stable and above82.1%39
2026-05Stable and above81.0%42
2026-08Stable and above81.4%43
2026-09Stable and above81.8%44
2026-10Stable and above82.2%45
2026-11Stable and above82.2%45
2024-08Ultra stableInsufficient sample1
2024-09Ultra stableInsufficient sample1
2024-10Ultra stableInsufficient sample3
2024-11Ultra stableInsufficient sample3
2024-12Ultra stableInsufficient sample3
2025-01Ultra stableInsufficient sample3
2025-02Ultra stableInsufficient sample3
2025-03Ultra stableInsufficient sample3
2025-04Ultra stableInsufficient sample4
2025-05Ultra stableInsufficient sample5
2025-08Ultra stableInsufficient sample6
2025-09Ultra stableInsufficient sample6
2025-10Ultra stableInsufficient sample6
2025-11Ultra stableInsufficient sample9
2025-12Ultra stable92.3%13
2026-01Ultra stable80.0%15
2026-02Ultra stable80.0%15
2026-03Ultra stable75.0%16
2026-04Ultra stable76.5%17
2026-05Ultra stable76.5%17
2026-08Ultra stable76.5%17
2026-09Ultra stable76.5%17
2026-10Ultra stable77.8%18
2026-11Ultra stable77.8%18

4. Predictive profile for Manchester City

ContextObserved measureReading
Home performance2.29 pts/matchHigher observed return
Away performance1.65 pts/matchLower observed return

5. Statistical markers for Manchester City

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

Expected goals created at home1.61
Expected goals conceded at home0.76
Expected goals created away1.41
Expected goals conceded away0.65
Goals scored / match (5)1.60
Goals conceded / match (5)1.60

History: 85 verified matches

6. Market signals for Manchester City

MarketAverage probabilityReliabilityVolumeReading
Double chance 1276.2%80.0%25Major, well-documented signal
Double chance X279.4%78.6%14Robust signal
Home win65.8%72.7%11Robust signal
Home draw no bet79.8%69.2%13Success below the average probability
Double chance 1X80.8%66.7%15Success below the average probability

7. Model dynamics & analysis

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

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

The next detected match is Manchester City vs FC Fulham on . The leading 1X2 read currently points to “Home win” around 62%.

AI verdictHigh predictive reliability

Stable and above: 82.2% success across 45 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 Premier LeagueLeague calendar, standings and predictions.→Explore teamsBrowse analysis and profiles for other clubs.→Verify our performanceReview Foresportia’s verifiable prediction history.→

9. Manchester City FAQ

What is the next match for Manchester City on Foresportia?

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

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

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

What does the strongest picks block mean for Manchester City?

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

Manchester City: AI analysis, predictions and Foresportia signals

For Foresportia, Manchester 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.

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

The next detected match is Manchester City vs FC Fulham on . The leading 1X2 read currently points to “Home win” around 62%.