Logo Sanfrecce Hiroshima

Sanfrecce Hiroshima

JapanJ1 League2027

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

Foresportia Elo
1659J1 League rank : 1st
1X2 entropy
1.48Lower = easier to read
Points volatility
1.20Standard deviation over 5 matches
Recent form
2.40Points per match over 5 matches
Model confidence
51.7%Average over 10 predictions

Current analysis: Sanfrecce Hiroshima

No usable results have been recorded for Sanfrecce Hiroshima in J1 League this season, so their form is still unknown.

J1 League · 2027 · 0 matches analyzed

1. How Foresportia evaluates Sanfrecce Hiroshima

Summary of indicators actually available in Foresportia data.

1659Foresportia EloJ1 League rank : 1st
1.481X2 entropyLower = easier to read
1.20Points volatilityStandard deviation over 5 matches
2.40Recent formpoints / match
51.7%Model confidenceAverage over 10 predictions

2. Next match

J1 League

V-varen NagasakiElo : 1445
VS
Sanfrecce HiroshimaElo : 1668
1X2 probabilities (Foresportia model)
17%28%56%
V-varen Nagasaki 17%Draw 28%Sanfrecce Hiroshima 56%
Main signalAway win · 56%
Model confidence50.2%
StabilityRisk
View match details →

3. Prediction reliability for Sanfrecce Hiroshima

Data updated on 21 October 2026

Reliability trendCumulative monthly history
Insufficient sample
Cumulative monthly historyProfileReliabilityVolume
2025-02RiskInsufficient sample2
2025-03RiskInsufficient sample4
2025-04Risk30.0%10
2025-05Risk50.0%16
2025-06Risk50.0%18
2025-07Risk52.4%21
2025-08Risk52.0%25
2025-09Risk48.3%29
2025-10Risk50.0%32
2025-11Risk48.5%33
2025-12Risk48.5%33
2026-03Risk47.2%36
2026-04Risk46.2%39
2026-05Risk48.9%45
2026-06Risk50.0%46
2026-08Risk49.0%49
2026-09Risk50.0%52
2026-10Risk50.9%53
2025-02Correct and aboveInsufficient sample1
2025-03Correct and aboveInsufficient sample2
2025-04Correct and aboveInsufficient sample2
2025-05Correct and aboveInsufficient sample2
2025-06Correct and aboveInsufficient sample3
2025-07Correct and aboveInsufficient sample3
2025-08Correct and aboveInsufficient sample4
2025-09Correct and aboveInsufficient sample4
2025-10Correct and aboveInsufficient sample4
2025-11Correct and aboveInsufficient sample5
2025-12Correct and aboveInsufficient sample6
2026-03Correct and aboveInsufficient sample6
2026-04Correct and aboveInsufficient sample8
2026-05Correct and aboveInsufficient sample8
2026-06Correct and aboveInsufficient sample8
2026-08Correct and aboveInsufficient sample9
2026-09Correct and above90.0%10
2026-10Correct and above90.9%11
2025-02Stable and aboveInsufficient sample0
2025-03Stable and aboveInsufficient sample0
2025-04Stable and aboveInsufficient sample0
2025-05Stable and aboveInsufficient sample0
2025-06Stable and aboveInsufficient sample0
2025-07Stable and aboveInsufficient sample0
2025-08Stable and aboveInsufficient sample0
2025-09Stable and aboveInsufficient sample0
2025-10Stable and aboveInsufficient sample0
2025-11Stable and aboveInsufficient sample0
2025-12Stable and aboveInsufficient sample1
2026-03Stable and aboveInsufficient sample1
2026-04Stable and aboveInsufficient sample1
2026-05Stable and aboveInsufficient sample1
2026-06Stable and aboveInsufficient sample1
2026-08Stable and aboveInsufficient sample1
2026-09Stable and aboveInsufficient sample1
2026-10Stable and aboveInsufficient sample1
2025-02Ultra stableInsufficient sample0
2025-03Ultra stableInsufficient sample0
2025-04Ultra stableInsufficient sample0
2025-05Ultra stableInsufficient sample0
2025-06Ultra stableInsufficient sample0
2025-07Ultra stableInsufficient sample0
2025-08Ultra stableInsufficient sample0
2025-09Ultra stableInsufficient sample0
2025-10Ultra stableInsufficient sample0
2025-11Ultra stableInsufficient sample0
2025-12Ultra stableInsufficient sample1
2026-03Ultra stableInsufficient sample1
2026-04Ultra stableInsufficient sample1
2026-05Ultra stableInsufficient sample1
2026-06Ultra stableInsufficient sample1
2026-08Ultra stableInsufficient sample1
2026-09Ultra stableInsufficient sample1
2026-10Ultra stableInsufficient sample1

4. Predictive profile for Sanfrecce Hiroshima

ContextObserved measureReading
Home performance1.94 pts/matchHigher observed return
Away performance1.69 pts/matchLower observed return

5. Statistical markers for Sanfrecce Hiroshima

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

Expected goals created at home1.24
Expected goals conceded at home0.70
Expected goals created away1.17
Expected goals conceded away0.73
Goals scored / match (5)2.80
Goals conceded / match (5)0.80

History: 64 verified matches

6. Market signals for Sanfrecce Hiroshima

MarketAverage probabilityReliabilityVolumeReading
Double chance 1271.1%80.8%26Major, well-documented signal
Double chance 1X71.4%76.2%21Major, well-documented signal
Home draw no bet69.6%71.4%14Robust signal
Home win60.0%83.3%6Promising signal, limited sample
Double chance X268.4%55.0%20Success 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

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 2.40 points per match over the last five matches and an average xG delta of 1.62.

The next detected match is V-varen Nagasaki vs Sanfrecce Hiroshima on . The leading 1X2 read currently points to “Away win” around 56%.

AI verdictHigh predictive reliability

Correct and above: 90.9% success across 11 verified 1X2 predictions.

Verify the complete history →

Continue exploring

Upcoming matches, competition, other teams and verifiable history.

View upcoming matchesBrowse upcoming fixtures and AI analysis.→Explore J1 LeagueLeague calendar, standings and predictions.→Explore teamsBrowse analysis and profiles for other clubs.→Verify our performanceReview Foresportia’s verifiable prediction 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 2.40 points per match over the last five matches and an average xG delta of 1.62.

The next detected match is V-varen Nagasaki vs Sanfrecce Hiroshima on . The leading 1X2 read currently points to “Away win” around 56%.