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Hertha BSC

GermanyBundesliga 22026-2027

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

Foresportia Elo
1593Bundesliga 2 rank : 1st
1X2 entropy
1.56Lower = easier to read
Points volatility
0.80Standard deviation over 5 matches
Recent form
2.60Points per match over 5 matches
Model confidence
48.7%Average over 10 predictions

Current analysis: Hertha BSC

Hertha BSC are enjoying a positive run, taking 13 points from the last five recorded matches in Bundesliga 2. Their attack is productive, with 11 goals scored against 6 conceded. More matches this season are needed to confirm this trend.

Bundesliga 2 · 2026-2027 · 6 matches analyzed

View analyzed match details
Matches analyzed (up to 5)
DateGoals scoredGoals concededPoints
533
213
213
213
001

1. How Foresportia evaluates Hertha BSC

Summary of indicators actually available in Foresportia data.

1593Foresportia EloBundesliga 2 rank : 1st
1.561X2 entropyLower = easier to read
0.80Points volatilityStandard deviation over 5 matches
2.60Recent formpoints / match
48.7%Model confidenceAverage over 10 predictions

2. Next match

Bundesliga 2

Hertha BSCElo : 1589
VS
Arminia BielefeldElo : 1473
1X2 probabilities (Foresportia model)
49%28%24%
Hertha BSC 49%Draw 28%Arminia Bielefeld 24%
Main signalHome win · 49%
Model confidence54.8%
StabilityRisk
View match details →

3. Prediction reliability for Hertha BSC

Data updated on 20 October 2026

Reliability trendCumulative monthly history
Insufficient sample
Cumulative monthly historyProfileReliabilityVolume
2024-08RiskInsufficient sample4
2024-09RiskInsufficient sample7
2024-10RiskInsufficient sample9
2024-11Risk69.2%13
2024-12Risk62.5%16
2025-01Risk66.7%18
2025-02Risk63.6%22
2025-03Risk69.2%26
2025-04Risk63.3%30
2025-05Risk63.6%33
2025-08Risk62.2%37
2025-09Risk65.0%40
2025-10Risk65.1%43
2025-11Risk66.7%45
2025-12Risk63.8%47
2026-01Risk61.2%49
2026-02Risk60.4%53
2026-03Risk59.6%57
2026-04Risk57.4%61
2026-05Risk56.2%64
2026-08Risk56.1%66
2026-09Risk57.4%68
2026-10Risk57.1%70
2024-08Correct and aboveInsufficient sample0
2024-09Correct and aboveInsufficient sample0
2024-10Correct and aboveInsufficient sample1
2024-11Correct and aboveInsufficient sample1
2024-12Correct and aboveInsufficient sample1
2025-01Correct and aboveInsufficient sample1
2025-02Correct and aboveInsufficient sample1
2025-03Correct and aboveInsufficient sample1
2025-04Correct and aboveInsufficient sample1
2025-05Correct and aboveInsufficient sample1
2025-08Correct and aboveInsufficient sample1
2025-09Correct and aboveInsufficient sample1
2025-10Correct and aboveInsufficient sample1
2025-11Correct and aboveInsufficient sample3
2025-12Correct and aboveInsufficient sample4
2026-01Correct and aboveInsufficient sample4
2026-02Correct and aboveInsufficient sample4
2026-03Correct and aboveInsufficient sample4
2026-04Correct and aboveInsufficient sample4
2026-05Correct and aboveInsufficient sample4
2026-08Correct and aboveInsufficient sample4
2026-09Correct and aboveInsufficient sample4
2026-10Correct and aboveInsufficient sample4
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 sample2
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 sample2
2025-12Ultra stableInsufficient sample2
2026-01Ultra stableInsufficient sample2
2026-02Ultra stableInsufficient sample2
2026-03Ultra stableInsufficient sample2
2026-04Ultra stableInsufficient sample2
2026-05Ultra stableInsufficient sample2
2026-08Ultra stableInsufficient sample2
2026-09Ultra stableInsufficient sample2
2026-10Ultra stableInsufficient sample2

4. Predictive profile for Hertha BSC

ContextObserved measureReading
Home performance1.28 pts/matchLower observed return
Away performance1.71 pts/matchHigher observed return

5. Statistical markers for Hertha BSC

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

Expected goals created at home0.91
Expected goals conceded at home0.91
Expected goals created away1.30
Expected goals conceded away0.94
Goals scored / match (5)2.20
Goals conceded / match (5)1.20

History: 74 verified matches

6. Market signals for Hertha BSC

MarketAverage probabilityReliabilityVolumeReading
Double chance 1271.8%82.6%23Major, well-documented signal
Double chance X263.8%65.2%23Confirmed signal
Both teams to score59.6%64.7%17Recurring signal
Over 2.557.6%56.2%16Recurring signal

7. Model dynamics & analysis

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

Hertha BSC is going through a strong control sequence, with 2.60 points per match over the last five matches and an average xG delta of -0.15.

The next detected match is Hertha BSC vs Arminia Bielefeld on . The leading 1X2 read currently points to “Home win” around 49%.

Continue exploring

Upcoming matches, competition, other teams and verifiable history.

9. Hertha BSC FAQ

What is the next match for Hertha BSC on Foresportia?

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

How should you read Hertha BSC's ranking and Elo?

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

What does the strongest picks block mean for Hertha BSC?

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

Hertha BSC: AI analysis, predictions and Foresportia signals

For Foresportia, Hertha BSC 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.

Hertha BSC is going through a strong control sequence, with 2.60 points per match over the last five matches and an average xG delta of -0.15.

The next detected match is Hertha BSC vs Arminia Bielefeld on . The leading 1X2 read currently points to “Home win” around 49%.