Logo SpVgg Greuther Fürth

SpVgg Greuther Fürth

GermanyBundesliga 22026-2027

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

Foresportia Elo
1451Bundesliga 2 rank : 16th
1X2 entropy
1.56Lower = easier to read
Points volatility
1.17Standard deviation over 5 matches
Recent form
0.80Points per match over 5 matches
Model confidence
47.9%Average over 10 predictions

1. How Foresportia evaluates SpVgg Greuther Fürth

Summary of indicators actually available in Foresportia data.

1451Foresportia EloBundesliga 2 rank : 16th
1.561X2 entropyLower = easier to read
1.17Points volatilityStandard deviation over 5 matches
0.80Recent formpoints / match
47.9%Model confidenceAverage over 10 predictions

2. Next match

Bundesliga 2

VfL BochumElo : 1483
VS
SpVgg Greuther FürthElo : 1450
1X2 probabilities (Foresportia model)
45%30%25%
VfL Bochum 45%Draw 30%SpVgg Greuther Fürth 25%
Main signalHome win · 45%
Model confidence50.8%
StabilityRisk
View match details

3. Prediction reliability for SpVgg Greuther Fürth

Data updated on 06 September 2026

Reliability trendCumulative monthly history
Insufficient sample
Cumulative monthly historyProfileReliabilityVolume
2024-08RiskInsufficient sample4
2024-09RiskInsufficient sample7
2024-10Risk30.0%10
2024-11Risk41.7%12
2024-12Risk46.7%15
2025-01Risk52.9%17
2025-02Risk52.4%21
2025-03Risk50.0%24
2025-04Risk53.6%28
2025-05Risk51.6%31
2025-08Risk55.9%34
2025-09Risk59.5%37
2025-10Risk60.0%40
2025-11Risk61.0%41
2025-12Risk60.5%43
2026-01Risk58.7%46
2026-02Risk58.0%50
2026-03Risk56.6%53
2026-04Risk56.1%57
2026-05Risk55.7%61
2026-08Risk54.8%62
2024-08Correct and aboveInsufficient sample0
2024-09Correct and aboveInsufficient sample0
2024-10Correct and aboveInsufficient sample0
2024-11Correct and aboveInsufficient sample1
2024-12Correct and aboveInsufficient sample2
2025-01Correct and aboveInsufficient sample2
2025-02Correct and aboveInsufficient sample3
2025-03Correct and aboveInsufficient sample3
2025-04Correct and aboveInsufficient sample3
2025-05Correct and aboveInsufficient sample3
2025-08Correct and aboveInsufficient sample4
2025-09Correct and aboveInsufficient sample4
2025-10Correct and aboveInsufficient sample4
2025-11Correct and aboveInsufficient sample7
2025-12Correct and aboveInsufficient sample8
2026-01Correct and aboveInsufficient sample8
2026-02Correct and aboveInsufficient sample8
2026-03Correct and aboveInsufficient sample8
2026-04Correct and aboveInsufficient sample8
2026-05Correct and aboveInsufficient sample8
2026-08Correct and aboveInsufficient sample8
2024-08Stable and aboveInsufficient sample0
2024-09Stable and aboveInsufficient sample0
2024-10Stable and aboveInsufficient sample0
2024-11Stable and aboveInsufficient sample0
2024-12Stable and aboveInsufficient sample1
2025-01Stable and aboveInsufficient sample1
2025-02Stable and aboveInsufficient sample1
2025-03Stable and aboveInsufficient sample1
2025-04Stable and aboveInsufficient sample1
2025-05Stable and aboveInsufficient sample1
2025-08Stable and aboveInsufficient sample1
2025-09Stable and aboveInsufficient sample1
2025-10Stable and aboveInsufficient sample1
2025-11Stable and aboveInsufficient sample4
2025-12Stable and aboveInsufficient sample4
2026-01Stable and aboveInsufficient sample4
2026-02Stable and aboveInsufficient sample4
2026-03Stable and aboveInsufficient sample4
2026-04Stable and aboveInsufficient sample4
2026-05Stable and aboveInsufficient sample4
2026-08Stable and aboveInsufficient sample4
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 sample3
2025-12Ultra stableInsufficient sample3
2026-01Ultra stableInsufficient sample3
2026-02Ultra stableInsufficient sample3
2026-03Ultra stableInsufficient sample3
2026-04Ultra stableInsufficient sample3
2026-05Ultra stableInsufficient sample3
2026-08Ultra stableInsufficient sample3

4. Predictive profile for SpVgg Greuther Fürth

ContextObserved measureReading
Home performance1.31 pts/matchHigher observed return
Away performance0.86 pts/matchLower observed return

5. Statistical markers for SpVgg Greuther Fürth

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

Expected goals created at home1.02
Expected goals conceded at home1.19
Expected goals created away0.96
Expected goals conceded away1.08
Goals scored / match (5)1.40
Goals conceded / match (5)1.60

History: 70 verified matches

6. Market signals for SpVgg Greuther Fürth

MarketAverage probabilityReliabilityVolumeReading
Double chance 1272.4%80.0%20Major, well-documented signal
Double chance 1X66.9%72.2%18Robust signal
Over 2.555.1%63.6%11Success above the average probability
Both teams to score57.2%57.1%14Recurring signal
Under 2.558.2%55.6%9Promising signal, limited sample

7. Model dynamics & analysis

Foresportia Elo trendTracks the team’s relative level as matches are played.
SpVgg Greuther Fürth
Average model confidenceShows how the model’s average certainty changes across matches.
SpVgg Greuther Fürth
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, SpVgg Greuther Fürth mainly draws value from its home edge. This page also tracks ranking, Elo evolution, goal trends and the market signals Foresportia finds most useful.

SpVgg Greuther Fürth still needs to be read through recent form, Elo and its advanced production indicators.

The next detected match is VfL Bochum vs SpVgg Greuther Fürth on . The leading 1X2 read currently points to “Home win” around 45%.

Continue exploring

Upcoming matches, competition, other teams and verifiable history.

9. SpVgg Greuther Fürth FAQ

What is the next match for SpVgg Greuther Fürth on Foresportia?

This page shows SpVgg Greuther Fürth's confirmed next match with the enriched prediction probabilities that are currently available.

How should you read SpVgg Greuther Fürth's ranking and Elo?

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

What does the strongest picks block mean for SpVgg Greuther Fürth?

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

SpVgg Greuther Fürth: AI analysis, predictions and Foresportia signals

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

SpVgg Greuther Fürth still needs to be read through recent form, Elo and its advanced production indicators.

The next detected match is VfL Bochum vs SpVgg Greuther Fürth on . The leading 1X2 read currently points to “Home win” around 45%.