Foresportia Elo
1442J1 League rank : 17th
Avispa Fukuoka
Foresportia analyses Avispa Fukuoka using its match data and proprietary models: Elo level, recent form, probabilities, observed reliability and verifiable market signals.
1X2 entropy
1.54Lower = easier to readPoints volatility
1.17Standard deviation over 5 matchesRecent form
0.80Points per match over 5 matchesModel confidence
45.8%Average over 10 predictionsCurrent analysis: Avispa Fukuoka
No usable results have been recorded for Avispa Fukuoka in J1 League this season, so their form is still unknown.
J1 League · 2027 · 0 matches analyzed
1. How Foresportia evaluates Avispa Fukuoka
Summary of indicators actually available in Foresportia data.
2. Next match
Avispa FukuokaElo : 1432
Gamba OsakaElo : 1457
1X2 probabilities (Foresportia model)
Avispa Fukuoka 35%Draw 32%Gamba Osaka 33%
3. Prediction reliability for Avispa Fukuoka
Data updated on 20 October 2026
Reliability trendCumulative monthly history
Insufficient sample| Cumulative monthly history | Profile | Reliability | Volume |
|---|---|---|---|
| 2025-02 | Risk | Insufficient sample | 3 |
| 2025-03 | Risk | Insufficient sample | 7 |
| 2025-04 | Risk | 38.5% | 13 |
| 2025-05 | Risk | 36.8% | 19 |
| 2025-06 | Risk | 36.4% | 22 |
| 2025-07 | Risk | 33.3% | 24 |
| 2025-08 | Risk | 32.1% | 28 |
| 2025-09 | Risk | 40.6% | 32 |
| 2025-10 | Risk | 42.9% | 35 |
| 2025-11 | Risk | 45.9% | 37 |
| 2025-12 | Risk | 44.7% | 38 |
| 2026-03 | Risk | 42.5% | 40 |
| 2026-04 | Risk | 39.5% | 43 |
| 2026-05 | Risk | 37.5% | 48 |
| 2026-06 | Risk | 38.8% | 49 |
| 2026-08 | Risk | 41.5% | 53 |
| 2026-09 | Risk | 42.1% | 57 |
| 2026-10 | Risk | 41.4% | 58 |
| 2025-02 | Correct and above | Insufficient sample | 0 |
| 2025-03 | Correct and above | Insufficient sample | 0 |
| 2025-04 | Correct and above | Insufficient sample | 0 |
| 2025-05 | Correct and above | Insufficient sample | 0 |
| 2025-06 | Correct and above | Insufficient sample | 0 |
| 2025-07 | Correct and above | Insufficient sample | 0 |
| 2025-08 | Correct and above | Insufficient sample | 0 |
| 2025-09 | Correct and above | Insufficient sample | 0 |
| 2025-10 | Correct and above | Insufficient sample | 0 |
| 2025-11 | Correct and above | Insufficient sample | 0 |
| 2025-12 | Correct and above | Insufficient sample | 0 |
| 2026-03 | Correct and above | Insufficient sample | 1 |
| 2026-04 | Correct and above | Insufficient sample | 4 |
| 2026-05 | Correct and above | Insufficient sample | 4 |
| 2026-06 | Correct and above | Insufficient sample | 4 |
| 2026-08 | Correct and above | Insufficient sample | 4 |
| 2026-09 | Correct and above | Insufficient sample | 4 |
| 2026-10 | Correct and above | Insufficient sample | 5 |
| 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 | 0 |
| 2026-03 | Stable and above | Insufficient sample | 0 |
| 2026-04 | Stable and above | Insufficient sample | 0 |
| 2026-05 | Stable and above | Insufficient sample | 0 |
| 2026-06 | Stable and above | Insufficient sample | 0 |
| 2026-08 | Stable and above | Insufficient sample | 0 |
| 2026-09 | Stable and above | Insufficient sample | 0 |
| 2026-10 | Stable and above | Insufficient sample | 0 |
| 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 | 0 |
| 2026-03 | Ultra stable | Insufficient sample | 0 |
| 2026-04 | Ultra stable | Insufficient sample | 0 |
| 2026-05 | Ultra stable | Insufficient sample | 0 |
| 2026-06 | Ultra stable | Insufficient sample | 0 |
| 2026-08 | Ultra stable | Insufficient sample | 0 |
| 2026-09 | Ultra stable | Insufficient sample | 0 |
| 2026-10 | Ultra stable | Insufficient sample | 0 |
4. Predictive profile for Avispa Fukuoka
ContextObserved measureReading
Home performance1.34 pts/matchHigher observed return
Away performance1.03 pts/matchLower observed return
5. Statistical markers for Avispa Fukuoka
Team values from Foresportia sources, without a reconstructed league average.
History: 63 verified matches
6. Market signals for Avispa Fukuoka
MarketAverage probabilityReliabilityVolumeReading
Double chance 1X69.2%75.0%24Major, well-documented signal
Both teams to score51.7%70.0%10Success above the average probability
Double chance 1268.2%65.4%26Confirmed signal
Double chance X268.1%63.6%22Recurring signal
7. Model dynamics & analysis
Foresportia Elo trendTracks the team’s relative level as matches are played.
Avispa Fukuoka
Average model confidenceShows how the model’s average certainty changes across matches.
Avispa Fukuoka
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.
Avispa Fukuoka
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.
Avispa Fukuoka
8. Foresportia analysis
For Foresportia, Avispa Fukuoka still requires a more cautious read tied to recent form and match context. This page also tracks ranking, Elo evolution, goal trends and the market signals Foresportia finds most useful.
Avispa Fukuoka still needs to be read through recent form, Elo and its advanced production indicators.
The next detected match is Avispa Fukuoka vs Gamba Osaka on . The leading 1X2 read currently points to “Home win” around 35%.
Continue exploring
Upcoming matches, competition, other teams and verifiable history.
9. Avispa Fukuoka FAQ
What is the next match for Avispa Fukuoka on Foresportia?
This page shows Avispa Fukuoka's confirmed next match with the enriched prediction probabilities that are currently available.
How should you read Avispa Fukuoka's ranking and Elo?
This page includes dedicated charts for Avispa Fukuoka's ranking and Elo trends, with season separators to make the evolution easier to read.
What does the strongest picks block mean for Avispa Fukuoka?
It highlights the markets that performed best in the available history for Avispa Fukuoka, together with sample size, hit rate and average probability.
Avispa Fukuoka: AI analysis, predictions and Foresportia signals
For Foresportia, Avispa Fukuoka still requires a more cautious read tied to recent form and match context. This page also tracks ranking, Elo evolution, goal trends and the market signals Foresportia finds most useful.
Avispa Fukuoka still needs to be read through recent form, Elo and its advanced production indicators.
The next detected match is Avispa Fukuoka vs Gamba Osaka on . The leading 1X2 read currently points to “Home win” around 35%.