Foresportia Elo
1616J1 League rank : 4th
Sanfrecce Hiroshima
Foresportia analyses Sanfrecce Hiroshima using its match data and proprietary models: Elo level, recent form, probabilities, observed reliability and verifiable market signals.
1X2 entropy
1.53Lower = easier to readPoints volatility
0.98Standard deviation over 5 matchesRecent form
2.20Points per match over 5 matchesModel confidence
45.8%Average over 10 predictions1. How Foresportia evaluates Sanfrecce Hiroshima
Summary of indicators actually available in Foresportia data.
2. Next match
Sanfrecce HiroshimaElo : 1614
Nagoya GrampusElo : 1517
1X2 probabilities (Foresportia model)
Sanfrecce Hiroshima 51%Draw 29%Nagoya Grampus 20%
3. Prediction reliability for Sanfrecce Hiroshima
Data updated on 01 September 2026
Reliability trendCumulative monthly history
Insufficient sample| Cumulative monthly history | Profile | Reliability | Volume |
|---|---|---|---|
| 2025-02 | Risk | Insufficient sample | 2 |
| 2025-03 | Risk | Insufficient sample | 4 |
| 2025-04 | Risk | 30.0% | 10 |
| 2025-05 | Risk | 50.0% | 16 |
| 2025-06 | Risk | 50.0% | 18 |
| 2025-07 | Risk | 52.4% | 21 |
| 2025-08 | Risk | 52.0% | 25 |
| 2025-09 | Risk | 48.3% | 29 |
| 2025-10 | Risk | 50.0% | 32 |
| 2025-11 | Risk | 48.5% | 33 |
| 2025-12 | Risk | 48.5% | 33 |
| 2026-03 | Risk | 47.2% | 36 |
| 2026-04 | Risk | 46.2% | 39 |
| 2026-05 | Risk | 48.9% | 45 |
| 2026-06 | Risk | 50.0% | 46 |
| 2026-08 | Risk | 49.0% | 49 |
| 2025-02 | Correct and above | Insufficient sample | 1 |
| 2025-03 | Correct and above | Insufficient sample | 2 |
| 2025-04 | Correct and above | Insufficient sample | 2 |
| 2025-05 | Correct and above | Insufficient sample | 2 |
| 2025-06 | Correct and above | Insufficient sample | 3 |
| 2025-07 | Correct and above | Insufficient sample | 3 |
| 2025-08 | Correct and above | Insufficient sample | 4 |
| 2025-09 | Correct and above | Insufficient sample | 4 |
| 2025-10 | Correct and above | Insufficient sample | 4 |
| 2025-11 | Correct and above | Insufficient sample | 5 |
| 2025-12 | Correct and above | Insufficient sample | 6 |
| 2026-03 | Correct and above | Insufficient sample | 6 |
| 2026-04 | Correct and above | Insufficient sample | 8 |
| 2026-05 | Correct and above | Insufficient sample | 8 |
| 2026-06 | Correct and above | Insufficient sample | 8 |
| 2026-08 | Correct and above | Insufficient sample | 9 |
| 2025-02 | Stable and above | Insufficient sample | 0 |
| 2025-03 | Stable and above | Insufficient sample | 0 |
| 2025-04 | Stable and above | Insufficient sample | 0 |
| 2025-05 | Stable and above | Insufficient sample | 0 |
| 2025-06 | Stable and above | Insufficient sample | 0 |
| 2025-07 | Stable and above | Insufficient sample | 0 |
| 2025-08 | Stable and above | Insufficient sample | 0 |
| 2025-09 | Stable and above | Insufficient sample | 0 |
| 2025-10 | Stable and above | Insufficient sample | 0 |
| 2025-11 | Stable and above | Insufficient sample | 0 |
| 2025-12 | Stable and above | Insufficient sample | 1 |
| 2026-03 | Stable and above | Insufficient sample | 1 |
| 2026-04 | Stable and above | Insufficient sample | 1 |
| 2026-05 | Stable and above | Insufficient sample | 1 |
| 2026-06 | Stable and above | Insufficient sample | 1 |
| 2026-08 | Stable and above | Insufficient sample | 1 |
| 2025-02 | Ultra stable | Insufficient sample | 0 |
| 2025-03 | Ultra stable | Insufficient sample | 0 |
| 2025-04 | Ultra stable | Insufficient sample | 0 |
| 2025-05 | Ultra stable | Insufficient sample | 0 |
| 2025-06 | Ultra stable | Insufficient sample | 0 |
| 2025-07 | Ultra stable | Insufficient sample | 0 |
| 2025-08 | Ultra stable | Insufficient sample | 0 |
| 2025-09 | Ultra stable | Insufficient sample | 0 |
| 2025-10 | Ultra stable | Insufficient sample | 0 |
| 2025-11 | Ultra stable | Insufficient sample | 0 |
| 2025-12 | Ultra stable | Insufficient sample | 1 |
| 2026-03 | Ultra stable | Insufficient sample | 1 |
| 2026-04 | Ultra stable | Insufficient sample | 1 |
| 2026-05 | Ultra stable | Insufficient sample | 1 |
| 2026-06 | Ultra stable | Insufficient sample | 1 |
| 2026-08 | Ultra stable | Insufficient sample | 1 |
4. Predictive profile for Sanfrecce Hiroshima
ContextObserved measureReading
Home performance1.83 pts/matchHigher observed return
Away performance1.66 pts/matchLower observed return
5. Statistical markers for Sanfrecce Hiroshima
Team values from Foresportia sources, without a reconstructed league average.
History: 58 verified matches
6. Market signals for Sanfrecce Hiroshima
MarketAverage probabilityReliabilityVolumeReading
Double chance 1271.3%75.0%20Major, well-documented signal
Double chance 1X70.7%70.6%17Robust signal
Home draw no bet68.7%63.6%11Recurring signal
Both teams to score54.7%58.3%12Recurring signal
Double chance X267.1%56.2%16Success below the average probability
7. Model dynamics & analysis
Foresportia Elo trendTracks the team’s relative level as matches are played.
Sanfrecce Hiroshima
Average model confidenceShows how the model’s average certainty changes across matches.
Sanfrecce Hiroshima
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.
Sanfrecce Hiroshima
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.
Sanfrecce Hiroshima
8. Foresportia analysis
For Foresportia, Sanfrecce Hiroshima 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.
Sanfrecce Hiroshima is going through a strong control sequence, with 2.20 points per match over the last five matches and an average xG delta of 0.99.
The next detected match is Sanfrecce Hiroshima vs Nagoya Grampus on . The leading 1X2 read currently points to “Home win” around 51%.
Continue exploring
Upcoming matches, competition, other teams and verifiable history.
9. Sanfrecce Hiroshima FAQ
What is the next match for Sanfrecce Hiroshima on Foresportia?
This page shows Sanfrecce Hiroshima's confirmed next match with the enriched prediction probabilities that are currently available.
How should you read Sanfrecce Hiroshima's ranking and Elo?
This page includes dedicated charts for Sanfrecce Hiroshima's ranking and Elo trends, with season separators to make the evolution easier to read.
What does the strongest picks block mean for Sanfrecce Hiroshima?
It highlights the markets that performed best in the available history for Sanfrecce Hiroshima, together with sample size, hit rate and average probability.
Sanfrecce Hiroshima: AI analysis, predictions and Foresportia signals
For Foresportia, Sanfrecce Hiroshima 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.
Sanfrecce Hiroshima is going through a strong control sequence, with 2.20 points per match over the last five matches and an average xG delta of 0.99.
The next detected match is Sanfrecce Hiroshima vs Nagoya Grampus on . The leading 1X2 read currently points to “Home win” around 51%.