Foresportia Elo
1742La Liga rank : 2nd
Real Madrid
Real
Foresportia analyses Real Madrid using its match data and proprietary models: Elo level, recent form, probabilities, observed reliability and verifiable market signals.
1X2 entropy
1.33Lower = easier to readPoints volatility
1.20Standard deviation over 5 matchesRecent form
2.40Points per match over 5 matchesModel confidence
66.0%Average over 10 predictions1. How Foresportia evaluates Real Madrid
Summary of indicators actually available in Foresportia data.
2. Next match
Real MadridElo : 1724
Rayo VallecanoElo : 1557
1X2 probabilities (Foresportia model)
Real Madrid 66%Draw 23%Rayo Vallecano 11%
3. Prediction reliability for Real Madrid
Data updated on 06 September 2026
Reliability trendCumulative monthly history
82.6%| Cumulative monthly history | Profile | Reliability | Volume |
|---|---|---|---|
| 2024-08 | Risk | Insufficient sample | 1 |
| 2024-09 | Risk | Insufficient sample | 2 |
| 2024-10 | Risk | Insufficient sample | 5 |
| 2024-11 | Risk | Insufficient sample | 5 |
| 2024-12 | Risk | Insufficient sample | 6 |
| 2025-01 | Risk | Insufficient sample | 6 |
| 2025-02 | Risk | Insufficient sample | 7 |
| 2025-03 | Risk | Insufficient sample | 9 |
| 2025-04 | Risk | 50.0% | 10 |
| 2025-05 | Risk | 50.0% | 12 |
| 2025-08 | Risk | 50.0% | 12 |
| 2025-09 | Risk | 46.2% | 13 |
| 2025-10 | Risk | 46.2% | 13 |
| 2025-11 | Risk | 46.2% | 13 |
| 2025-12 | Risk | 46.2% | 13 |
| 2026-01 | Risk | 50.0% | 14 |
| 2026-02 | Risk | 50.0% | 14 |
| 2026-03 | Risk | 56.2% | 16 |
| 2026-04 | Risk | 52.9% | 17 |
| 2026-05 | Risk | 57.9% | 19 |
| 2026-08 | Risk | 57.9% | 19 |
| 2026-09 | Risk | 55.0% | 20 |
| 2024-08 | Correct and above | Insufficient sample | 2 |
| 2024-09 | Correct and above | Insufficient sample | 6 |
| 2024-10 | Correct and above | Insufficient sample | 6 |
| 2024-11 | Correct and above | Insufficient sample | 8 |
| 2024-12 | Correct and above | 83.3% | 12 |
| 2025-01 | Correct and above | 86.7% | 15 |
| 2025-02 | Correct and above | 77.8% | 18 |
| 2025-03 | Correct and above | 80.0% | 20 |
| 2025-04 | Correct and above | 78.3% | 23 |
| 2025-05 | Correct and above | 80.8% | 26 |
| 2025-08 | Correct and above | 82.8% | 29 |
| 2025-09 | Correct and above | 84.4% | 32 |
| 2025-10 | Correct and above | 85.7% | 35 |
| 2025-11 | Correct and above | 79.5% | 39 |
| 2025-12 | Correct and above | 79.1% | 43 |
| 2026-01 | Correct and above | 80.0% | 45 |
| 2026-02 | Correct and above | 79.6% | 49 |
| 2026-03 | Correct and above | 78.4% | 51 |
| 2026-04 | Correct and above | 75.9% | 54 |
| 2026-05 | Correct and above | 77.2% | 57 |
| 2026-08 | Correct and above | 78.0% | 59 |
| 2026-09 | Correct and above | 78.0% | 59 |
| 2024-08 | Stable and above | Insufficient sample | 1 |
| 2024-09 | Stable and above | Insufficient sample | 3 |
| 2024-10 | Stable and above | Insufficient sample | 3 |
| 2024-11 | Stable and above | Insufficient sample | 4 |
| 2024-12 | Stable and above | Insufficient sample | 6 |
| 2025-01 | Stable and above | Insufficient sample | 7 |
| 2025-02 | Stable and above | Insufficient sample | 7 |
| 2025-03 | Stable and above | Insufficient sample | 7 |
| 2025-04 | Stable and above | Insufficient sample | 7 |
| 2025-05 | Stable and above | Insufficient sample | 7 |
| 2025-08 | Stable and above | Insufficient sample | 9 |
| 2025-09 | Stable and above | 90.9% | 11 |
| 2025-10 | Stable and above | 90.9% | 11 |
| 2025-11 | Stable and above | 73.3% | 15 |
| 2025-12 | Stable and above | 76.5% | 17 |
| 2026-01 | Stable and above | 78.9% | 19 |
| 2026-02 | Stable and above | 80.0% | 20 |
| 2026-03 | Stable and above | 81.0% | 21 |
| 2026-04 | Stable and above | 81.8% | 22 |
| 2026-05 | Stable and above | 82.6% | 23 |
| 2026-08 | Stable and above | 82.6% | 23 |
| 2026-09 | Stable and above | 82.6% | 23 |
| 2024-08 | Ultra stable | Insufficient sample | 1 |
| 2024-09 | Ultra stable | Insufficient sample | 2 |
| 2024-10 | Ultra stable | Insufficient sample | 2 |
| 2024-11 | Ultra stable | Insufficient sample | 3 |
| 2024-12 | Ultra stable | Insufficient sample | 5 |
| 2025-01 | Ultra stable | Insufficient sample | 6 |
| 2025-02 | Ultra stable | Insufficient sample | 6 |
| 2025-03 | Ultra stable | Insufficient sample | 6 |
| 2025-04 | Ultra stable | Insufficient sample | 6 |
| 2025-05 | Ultra stable | Insufficient sample | 6 |
| 2025-08 | Ultra stable | Insufficient sample | 8 |
| 2025-09 | Ultra stable | 90.0% | 10 |
| 2025-10 | Ultra stable | 90.0% | 10 |
| 2025-11 | Ultra stable | 71.4% | 14 |
| 2025-12 | Ultra stable | 75.0% | 16 |
| 2026-01 | Ultra stable | 77.8% | 18 |
| 2026-02 | Ultra stable | 78.9% | 19 |
| 2026-03 | Ultra stable | 80.0% | 20 |
| 2026-04 | Ultra stable | 81.0% | 21 |
| 2026-05 | Ultra stable | 81.8% | 22 |
| 2026-08 | Ultra stable | 81.8% | 22 |
| 2026-09 | Ultra stable | 81.8% | 22 |
4. Predictive profile for Real Madrid
ContextObserved measureReading
Home performance2.59 pts/matchHigher observed return
Away performance1.88 pts/matchLower observed return
5. Statistical markers for Real Madrid
Team values from Foresportia sources, without a reconstructed league average.
History: 79 verified matches
6. Market signals for Real Madrid
MarketAverage probabilityReliabilityVolumeReading
Double chance 1X87.0%91.7%12Robust signal
Double chance 1276.9%90.5%21Major, well-documented signal
Home draw no bet83.0%83.3%12Robust signal
Home win66.6%81.8%11Success above the average probability
Double chance X281.2%60.0%10Success below the average probability
7. Model dynamics & analysis
Foresportia Elo trendTracks the team’s relative level as matches are played.
Real Madrid
Average model confidenceShows how the model’s average certainty changes across matches.
Real Madrid
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.
Real Madrid
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.
Real Madrid
8. Foresportia analysis
For Foresportia, Real Madrid 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.
Real Madrid is going through a strong control sequence, with 2.40 points per match over the last five matches and an average xG delta of 0.78.
The next detected match is Real Madrid vs Rayo Vallecano on . The leading 1X2 read currently points to “Home win” around 66%.
AI verdictHigh predictive reliability
Stable and above: 82.6% success across 23 verified 1X2 predictions.
Verify the complete history →Continue exploring
Upcoming matches, competition, other teams and verifiable history.
9. Real Madrid FAQ
What is the next match for Real Madrid on Foresportia?
This page shows Real Madrid's confirmed next match with the enriched prediction probabilities that are currently available.
How should you read Real Madrid's ranking and Elo?
This page includes dedicated charts for Real Madrid's ranking and Elo trends, with season separators to make the evolution easier to read.
What does the strongest picks block mean for Real Madrid?
It highlights the markets that performed best in the available history for Real Madrid, together with sample size, hit rate and average probability.
Real Madrid: AI analysis, predictions and Foresportia signals
For Foresportia, Real Madrid 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.
Real Madrid is going through a strong control sequence, with 2.40 points per match over the last five matches and an average xG delta of 0.78.
The next detected match is Real Madrid vs Rayo Vallecano on . The leading 1X2 read currently points to “Home win” around 66%.