Logo VfB Stuttgart

VfB Stuttgart

GermanyBundesliga2026-2027

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

Foresportia Elo
1616Bundesliga rank : 15th
1X2 entropy
1.47Lower = easier to read
Points volatility
1.17Standard deviation over 5 matches
Recent form
0.80Points per match over 5 matches
Model confidence
59.3%Average over 10 predictions

Current analysis: VfB Stuttgart

VfB Stuttgart have taken 3 points from four matches in Bundesliga. The team have scored 6 goals and conceded 9. It is still too early to judge their form, attack or defense from so few matches.

Bundesliga · 2026-2027 · 4 matches analyzed

View analyzed match details
Matches analyzed (up to 5)
DateGoals scoredGoals concededPoints
150
413
120
010

1. How Foresportia evaluates VfB Stuttgart

Summary of indicators actually available in Foresportia data.

1616Foresportia EloBundesliga rank : 15th
1.471X2 entropyLower = easier to read
1.17Points volatilityStandard deviation over 5 matches
0.80Recent formpoints / match
59.3%Model confidenceAverage over 10 predictions

2. Next match

Bundesliga

SC Paderborn 07Elo : Not available
VS
VfB StuttgartElo : Not available
Main signal—
Model confidenceNot available
StabilityRisk
View match details →

3. Prediction reliability for VfB Stuttgart

Data updated on 28 September 2026

Reliability trendCumulative monthly history
90.9%
Cumulative monthly historyProfileReliabilityVolume
2024-08RiskInsufficient sample2
2024-09RiskInsufficient sample5
2024-10RiskInsufficient sample7
2024-11Risk30.0%10
2024-12Risk33.3%12
2025-01Risk33.3%15
2025-02Risk31.6%19
2025-03Risk36.4%22
2025-04Risk38.5%26
2025-05Risk41.4%29
2025-08Risk45.2%31
2025-09Risk50.0%34
2025-10Risk51.4%35
2025-11Risk52.8%36
2025-12Risk51.4%37
2026-01Risk51.2%41
2026-02Risk51.2%43
2026-03Risk52.2%46
2026-04Risk53.2%47
2026-05Risk50.0%50
2026-08Risk50.0%50
2026-09Risk50.0%52
2024-08Correct and aboveInsufficient sample0
2024-09Correct and aboveInsufficient sample0
2024-10Correct and aboveInsufficient sample1
2024-11Correct and aboveInsufficient sample2
2024-12Correct and aboveInsufficient sample3
2025-01Correct and aboveInsufficient sample4
2025-02Correct and aboveInsufficient sample5
2025-03Correct and aboveInsufficient sample5
2025-04Correct and aboveInsufficient sample5
2025-05Correct and aboveInsufficient sample5
2025-08Correct and aboveInsufficient sample5
2025-09Correct and aboveInsufficient sample5
2025-10Correct and aboveInsufficient sample7
2025-11Correct and above90.0%10
2025-12Correct and above91.7%12
2026-01Correct and above91.7%12
2026-02Correct and above85.7%14
2026-03Correct and above86.7%15
2026-04Correct and above83.3%18
2026-05Correct and above83.3%18
2026-08Correct and above84.2%19
2026-09Correct and above85.0%20
2024-08Stable and aboveInsufficient sample0
2024-09Stable and aboveInsufficient sample0
2024-10Stable and aboveInsufficient sample1
2024-11Stable and aboveInsufficient sample2
2024-12Stable and aboveInsufficient sample2
2025-01Stable and aboveInsufficient sample2
2025-02Stable and aboveInsufficient sample2
2025-03Stable and aboveInsufficient sample2
2025-04Stable and aboveInsufficient sample2
2025-05Stable and aboveInsufficient sample2
2025-08Stable and aboveInsufficient sample2
2025-09Stable and aboveInsufficient sample2
2025-10Stable and aboveInsufficient sample4
2025-11Stable and aboveInsufficient sample7
2025-12Stable and aboveInsufficient sample8
2026-01Stable and aboveInsufficient sample8
2026-02Stable and aboveInsufficient sample9
2026-03Stable and above90.0%10
2026-04Stable and above90.9%11
2026-05Stable and above90.9%11
2026-08Stable and above90.9%11
2026-09Stable and above90.9%11
2024-08Ultra stableInsufficient sample0
2024-09Ultra stableInsufficient sample0
2024-10Ultra stableInsufficient sample0
2024-11Ultra stableInsufficient sample1
2024-12Ultra stableInsufficient sample1
2025-01Ultra stableInsufficient sample1
2025-02Ultra stableInsufficient sample1
2025-03Ultra stableInsufficient sample1
2025-04Ultra stableInsufficient sample1
2025-05Ultra stableInsufficient sample1
2025-08Ultra stableInsufficient sample1
2025-09Ultra stableInsufficient sample1
2025-10Ultra stableInsufficient sample2
2025-11Ultra stableInsufficient sample4
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
2026-09Ultra stableInsufficient sample5

4. Predictive profile for VfB Stuttgart

ContextObserved measureReading
Home performance1.81 pts/matchHigher observed return
Away performance1.39 pts/matchLower observed return

5. Statistical markers for VfB Stuttgart

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

Expected goals created at home1.11
Expected goals conceded at home0.91
Expected goals created away1.24
Expected goals conceded away1.04
Goals scored / match (5)1.60
Goals conceded / match (5)2.20

History: 72 verified matches

6. Market signals for VfB Stuttgart

MarketAverage probabilityReliabilityVolumeReading
Home draw no bet72.3%90.0%10Success above the average probability
Double chance 1X70.4%88.9%18Major, well-documented signal
Home win57.6%87.5%8Promising signal, limited sample
Double chance 1274.1%76.2%21Major, well-documented signal
Over 2.560.5%71.4%14Success above the average probability

7. Model dynamics & analysis

Foresportia Elo trendTracks the team’s relative level as matches are played.
VfB Stuttgart
Average model confidenceShows how the model’s average certainty changes across matches.
VfB Stuttgart
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, VfB Stuttgart still requires a more cautious read tied to recent form and match context. This page also tracks ranking, Elo evolution, goal trends and the market signals Foresportia finds most useful.

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

The next confirmed match is SC Paderborn 07 vs VfB Stuttgart on . Probabilities will appear when an enriched prediction is available.

AI verdictHigh predictive reliability

Stable and above: 90.9% success across 11 verified 1X2 predictions.

Verify the complete history →

Continue exploring

Upcoming matches, competition, other teams and verifiable history.

9. VfB Stuttgart FAQ

What is the next match for VfB Stuttgart on Foresportia?

This page shows VfB Stuttgart's confirmed next match. The enriched prediction and its probabilities are not available yet.

How should you read VfB Stuttgart's ranking and Elo?

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

What does the strongest picks block mean for VfB Stuttgart?

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

VfB Stuttgart: AI analysis, predictions and Foresportia signals

For Foresportia, VfB Stuttgart still requires a more cautious read tied to recent form and match context. This page also tracks ranking, Elo evolution, goal trends and the market signals Foresportia finds most useful.

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

The next confirmed match is SC Paderborn 07 vs VfB Stuttgart on . Probabilities will appear when an enriched prediction is available.