Foresportia Elo
1440Serie B rank : 17th
UC Sampdoria
Foresportia analyses UC Sampdoria using its match data and proprietary models: Elo level, recent form, probabilities, observed reliability and verifiable market signals.
1X2 entropy
1.56Lower = easier to readPoints volatility
1.10Standard deviation over 5 matchesRecent form
1.00Points per match over 5 matchesModel confidence
62.3%Average over 10 predictions1. How Foresportia evaluates UC Sampdoria
Summary of indicators actually available in Foresportia data.
2. Next match
Palerme FCElo : 1593
UC SampdoriaElo : 1423
1X2 probabilities (Foresportia model)
Palerme FC 51%Draw 30%UC Sampdoria 19%
3. Prediction reliability for UC Sampdoria
Data updated on 06 September 2026
Reliability trendCumulative monthly history
Insufficient sample| Cumulative monthly history | Profile | Reliability | Volume |
|---|---|---|---|
| 2024-08 | Risk | Insufficient sample | 4 |
| 2024-09 | Risk | Insufficient sample | 7 |
| 2024-10 | Risk | 18.2% | 11 |
| 2024-11 | Risk | 20.0% | 15 |
| 2024-12 | Risk | 16.7% | 18 |
| 2025-01 | Risk | 14.3% | 21 |
| 2025-02 | Risk | 20.0% | 25 |
| 2025-03 | Risk | 20.7% | 29 |
| 2025-04 | Risk | 25.0% | 32 |
| 2025-05 | Risk | 22.2% | 36 |
| 2025-08 | Risk | 24.3% | 37 |
| 2025-09 | Risk | 23.7% | 38 |
| 2025-10 | Risk | 23.3% | 43 |
| 2025-11 | Risk | 26.1% | 46 |
| 2025-12 | Risk | 28.6% | 49 |
| 2026-01 | Risk | 28.3% | 53 |
| 2026-02 | Risk | 27.6% | 58 |
| 2026-03 | Risk | 29.0% | 62 |
| 2026-04 | Risk | 30.3% | 66 |
| 2026-05 | Risk | 30.9% | 68 |
| 2026-08 | Risk | 31.4% | 70 |
| 2024-08 | Correct and above | Insufficient sample | 0 |
| 2024-09 | Correct and above | Insufficient sample | 0 |
| 2024-10 | Correct and above | Insufficient sample | 0 |
| 2024-11 | Correct and above | Insufficient sample | 0 |
| 2024-12 | Correct and above | Insufficient sample | 2 |
| 2025-01 | Correct and above | Insufficient sample | 2 |
| 2025-02 | Correct and above | Insufficient sample | 2 |
| 2025-03 | Correct and above | Insufficient sample | 2 |
| 2025-04 | Correct and above | Insufficient sample | 2 |
| 2025-05 | Correct and above | Insufficient sample | 2 |
| 2025-08 | Correct and above | Insufficient sample | 3 |
| 2025-09 | Correct and above | Insufficient sample | 5 |
| 2025-10 | Correct and above | Insufficient sample | 5 |
| 2025-11 | Correct and above | Insufficient sample | 6 |
| 2025-12 | Correct and above | Insufficient sample | 7 |
| 2026-01 | Correct and above | Insufficient sample | 7 |
| 2026-02 | Correct and above | Insufficient sample | 7 |
| 2026-03 | Correct and above | Insufficient sample | 8 |
| 2026-04 | Correct and above | Insufficient sample | 8 |
| 2026-05 | Correct and above | Insufficient sample | 8 |
| 2026-08 | Correct and above | Insufficient sample | 8 |
| 2024-08 | Stable and above | Insufficient sample | 0 |
| 2024-09 | Stable and above | Insufficient sample | 0 |
| 2024-10 | Stable and above | Insufficient sample | 0 |
| 2024-11 | Stable and above | Insufficient sample | 0 |
| 2024-12 | Stable and above | Insufficient sample | 1 |
| 2025-01 | Stable and above | Insufficient sample | 1 |
| 2025-02 | Stable and above | Insufficient sample | 1 |
| 2025-03 | Stable and above | Insufficient sample | 1 |
| 2025-04 | Stable and above | Insufficient sample | 1 |
| 2025-05 | Stable and above | Insufficient sample | 1 |
| 2025-08 | Stable and above | Insufficient sample | 2 |
| 2025-09 | Stable and above | Insufficient sample | 2 |
| 2025-10 | Stable and above | Insufficient sample | 2 |
| 2025-11 | Stable and above | Insufficient sample | 3 |
| 2025-12 | Stable and above | Insufficient sample | 4 |
| 2026-01 | Stable and above | Insufficient sample | 4 |
| 2026-02 | Stable and above | Insufficient sample | 4 |
| 2026-03 | Stable and above | Insufficient sample | 4 |
| 2026-04 | Stable and above | Insufficient sample | 4 |
| 2026-05 | Stable and above | Insufficient sample | 4 |
| 2026-08 | Stable and above | Insufficient sample | 4 |
| 2024-08 | Ultra stable | Insufficient sample | 0 |
| 2024-09 | Ultra stable | Insufficient sample | 0 |
| 2024-10 | Ultra stable | Insufficient sample | 0 |
| 2024-11 | Ultra stable | Insufficient sample | 0 |
| 2024-12 | Ultra stable | Insufficient sample | 1 |
| 2025-01 | Ultra stable | Insufficient sample | 1 |
| 2025-02 | Ultra stable | Insufficient sample | 1 |
| 2025-03 | Ultra stable | Insufficient sample | 1 |
| 2025-04 | Ultra stable | Insufficient sample | 1 |
| 2025-05 | Ultra stable | Insufficient sample | 1 |
| 2025-08 | Ultra stable | Insufficient sample | 1 |
| 2025-09 | Ultra stable | Insufficient sample | 1 |
| 2025-10 | Ultra stable | Insufficient sample | 1 |
| 2025-11 | Ultra stable | Insufficient sample | 2 |
| 2025-12 | Ultra stable | Insufficient sample | 3 |
| 2026-01 | Ultra stable | Insufficient sample | 3 |
| 2026-02 | Ultra stable | Insufficient sample | 3 |
| 2026-03 | Ultra stable | Insufficient sample | 3 |
| 2026-04 | Ultra stable | Insufficient sample | 3 |
| 2026-05 | Ultra stable | Insufficient sample | 3 |
| 2026-08 | Ultra stable | Insufficient sample | 3 |
4. Predictive profile for UC Sampdoria
ContextObserved measureReading
Home performance1.46 pts/matchHigher observed return
Away performance0.74 pts/matchLower observed return
5. Statistical markers for UC Sampdoria
Team values from Foresportia sources, without a reconstructed league average.
History: 78 verified matches
6. Market signals for UC Sampdoria
MarketAverage probabilityReliabilityVolumeReading
Double chance 1269.4%73.7%19Robust signal
Double chance 1X67.5%72.2%18Robust signal
Under 2.562.1%56.2%16Recurring signal
7. Model dynamics & analysis
Foresportia Elo trendTracks the team’s relative level as matches are played.
UC Sampdoria
Average model confidenceShows how the model’s average certainty changes across matches.
UC Sampdoria
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
League-position trendTracks the team’s league position throughout the season.
UC Sampdoria
Goals scored / concededCompares goals scored and conceded using a five-match rolling average.
Goals scored / match (5)Goals conceded / match (5)
Points per matchTracks points earned per match using a five-match rolling average.
UC Sampdoria
8. Foresportia analysis
For Foresportia, UC Sampdoria 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.
UC Sampdoria currently relies on a more reliable defensive base, conceding only 0.80 goals per match recently.
The next detected match is Palerme FC vs UC Sampdoria on . The leading 1X2 read currently points to “Home win” around 51%.
Continue exploring
Upcoming matches, competition, other teams and verifiable history.
9. UC Sampdoria FAQ
What is the next match for UC Sampdoria on Foresportia?
This page shows UC Sampdoria's confirmed next match with the enriched prediction probabilities that are currently available.
How should you read UC Sampdoria's ranking and Elo?
This page includes dedicated charts for UC Sampdoria's ranking and Elo trends, with season separators to make the evolution easier to read.
What does the strongest picks block mean for UC Sampdoria?
It highlights the markets that performed best in the available history for UC Sampdoria, together with sample size, hit rate and average probability.
UC Sampdoria: AI analysis, predictions and Foresportia signals
For Foresportia, UC Sampdoria 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.
UC Sampdoria currently relies on a more reliable defensive base, conceding only 0.80 goals per match recently.
The next detected match is Palerme FC vs UC Sampdoria on . The leading 1X2 read currently points to “Home win” around 51%.