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FC Südtirol

ItalySerie B2026-2027

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

Foresportia Elo
1433Serie B rank : 7th
1X2 entropy
1.57Lower = easier to read
Points volatility
0.98Standard deviation over 5 matches
Recent form
1.80Points per match over 5 matches
Model confidence
56.3%Average over 10 predictions

1. How Foresportia evaluates FC Südtirol

Summary of indicators actually available in Foresportia data.

1433Foresportia EloSerie B rank : 7th
1.571X2 entropyLower = easier to read
0.98Points volatilityStandard deviation over 5 matches
1.80Recent formpoints / match
56.3%Model confidenceAverage over 10 predictions

2. Next match

Serie B

FC SüdtirolElo : 1456
VS
Modena FCElo : 1518
1X2 probabilities (Foresportia model)
33%32%35%
FC Südtirol 33%Draw 32%Modena FC 35%
Main signalAway win · 35%
Model confidence40.9%
StabilityRisk
View match details →

3. Prediction reliability for FC Südtirol

Data updated on 06 September 2026

Reliability trendCumulative monthly history
Insufficient sample
Cumulative monthly historyProfileReliabilityVolume
2024-08RiskInsufficient sample4
2024-09RiskInsufficient sample7
2024-10Risk72.7%11
2024-11Risk76.9%13
2024-12Risk66.7%18
2025-01Risk61.9%21
2025-02Risk57.7%26
2025-03Risk58.6%29
2025-04Risk59.4%32
2025-05Risk55.6%36
2025-08Risk54.1%37
2025-09Risk55.0%40
2025-10Risk52.3%44
2025-11Risk47.9%48
2025-12Risk49.0%51
2026-01Risk49.1%55
2026-02Risk50.0%60
2026-03Risk49.2%65
2026-04Risk47.8%69
2026-05Risk46.6%73
2026-08Risk47.3%74
2026-09Risk46.7%75
2024-08Correct and aboveInsufficient sample0
2024-09Correct and aboveInsufficient sample0
2024-10Correct and aboveInsufficient sample0
2024-11Correct and aboveInsufficient sample2
2024-12Correct and aboveInsufficient sample2
2025-01Correct and aboveInsufficient sample2
2025-02Correct and aboveInsufficient sample2
2025-03Correct and aboveInsufficient sample2
2025-04Correct and aboveInsufficient sample2
2025-05Correct and aboveInsufficient sample2
2025-08Correct and aboveInsufficient sample3
2025-09Correct and aboveInsufficient sample3
2025-10Correct and aboveInsufficient sample4
2025-11Correct and aboveInsufficient sample4
2025-12Correct and aboveInsufficient sample5
2026-01Correct and aboveInsufficient sample5
2026-02Correct and aboveInsufficient sample5
2026-03Correct and aboveInsufficient sample5
2026-04Correct and aboveInsufficient sample5
2026-05Correct and aboveInsufficient sample5
2026-08Correct and aboveInsufficient sample5
2026-09Correct and aboveInsufficient sample5
2024-08Stable and aboveInsufficient sample0
2024-09Stable and aboveInsufficient sample0
2024-10Stable and aboveInsufficient sample0
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 sample3
2025-09Stable and aboveInsufficient sample3
2025-10Stable and aboveInsufficient sample4
2025-11Stable and aboveInsufficient sample4
2025-12Stable and aboveInsufficient sample5
2026-01Stable and aboveInsufficient sample5
2026-02Stable and aboveInsufficient sample5
2026-03Stable and aboveInsufficient sample5
2026-04Stable and aboveInsufficient sample5
2026-05Stable and aboveInsufficient sample5
2026-08Stable and aboveInsufficient sample5
2026-09Stable and aboveInsufficient sample5
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 sample1
2025-11Ultra stableInsufficient sample1
2025-12Ultra stableInsufficient sample1
2026-01Ultra stableInsufficient sample1
2026-02Ultra stableInsufficient sample1
2026-03Ultra stableInsufficient sample1
2026-04Ultra stableInsufficient sample1
2026-05Ultra stableInsufficient sample1
2026-08Ultra stableInsufficient sample1
2026-09Ultra stableInsufficient sample1

4. Predictive profile for FC Südtirol

ContextObserved measureReading
Home performance1.32 pts/matchHigher observed return
Away performance1.05 pts/matchLower observed return

5. Statistical markers for FC Südtirol

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

Expected goals created at home0.85
Expected goals conceded at home0.97
Expected goals created away1.02
Expected goals conceded away0.97
Goals scored / match (5)0.80
Goals conceded / match (5)0.20

History: 80 verified matches

6. Market signals for FC Südtirol

MarketAverage probabilityReliabilityVolumeReading
Double chance 1X67.1%77.3%22Major, well-documented signal
Double chance X264.6%66.7%21Confirmed signal
Under 2.560.8%63.2%19Recurring signal

7. Model dynamics & analysis

Foresportia Elo trendTracks the team’s relative level as matches are played.
FC Südtirol
Average model confidenceShows how the model’s average certainty changes across matches.
FC Südtirol
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, FC Südtirol mainly relies on a more reliable defensive base. This page also tracks ranking, Elo evolution, goal trends and the market signals Foresportia finds most useful.

FC Südtirol currently relies on a more reliable defensive base, conceding only 0.20 goals per match recently.

The next detected match is FC Südtirol vs Modena FC on . The leading 1X2 read currently points to “Away win” around 35%.

Continue exploring

Upcoming matches, competition, other teams and verifiable history.

View upcoming matchesBrowse upcoming fixtures and AI analysis.→Explore Serie BLeague calendar, standings and predictions.→Explore teamsBrowse analysis and profiles for other clubs.→Verify our performanceReview Foresportia’s verifiable prediction history.→

9. FC Südtirol FAQ

What is the next match for FC Südtirol on Foresportia?

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

How should you read FC Südtirol's ranking and Elo?

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

What does the strongest picks block mean for FC Südtirol?

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

FC Südtirol: AI analysis, predictions and Foresportia signals

For Foresportia, FC Südtirol mainly relies on a more reliable defensive base. This page also tracks ranking, Elo evolution, goal trends and the market signals Foresportia finds most useful.

FC Südtirol currently relies on a more reliable defensive base, conceding only 0.20 goals per match recently.

The next detected match is FC Südtirol vs Modena FC on . The leading 1X2 read currently points to “Away win” around 35%.