Foresportia Elo
1525J1 League rank : 12th
Gamba Osaka
Foresportia analyses Gamba Osaka 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
0.98Standard deviation over 5 matchesRecent form
1.20Points per match over 5 matchesModel confidence
41.9%Average over 10 predictions1. How Foresportia evaluates Gamba Osaka
Summary of indicators actually available in Foresportia data.
2. Next match
JEF United ChibaElo : 1362
Gamba OsakaElo : 1524
1X2 probabilities (Foresportia model)
JEF United Chiba 20%Draw 26%Gamba Osaka 54%
3. Prediction reliability for Gamba Osaka
Data updated on 06 September 2026
Reliability trendCumulative monthly history
40.0%| Cumulative monthly history | Profile | Reliability | Volume |
|---|---|---|---|
| 2025-02 | Risk | Insufficient sample | 3 |
| 2025-03 | Risk | Insufficient sample | 7 |
| 2025-04 | Risk | 61.5% | 13 |
| 2025-05 | Risk | 68.8% | 16 |
| 2025-06 | Risk | 68.4% | 19 |
| 2025-07 | Risk | 61.9% | 21 |
| 2025-08 | Risk | 65.2% | 23 |
| 2025-09 | Risk | 69.2% | 26 |
| 2025-10 | Risk | 71.4% | 28 |
| 2025-11 | Risk | 70.0% | 30 |
| 2025-12 | Risk | 71.0% | 31 |
| 2026-03 | Risk | 68.8% | 32 |
| 2026-04 | Risk | 61.1% | 36 |
| 2026-05 | Risk | 61.0% | 41 |
| 2026-06 | Risk | 61.9% | 42 |
| 2026-08 | Risk | 58.7% | 46 |
| 2026-09 | Risk | 57.4% | 47 |
| 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 | 3 |
| 2025-06 | Correct and above | Insufficient sample | 3 |
| 2025-07 | Correct and above | Insufficient sample | 3 |
| 2025-08 | Correct and above | Insufficient sample | 6 |
| 2025-09 | Correct and above | Insufficient sample | 6 |
| 2025-10 | Correct and above | Insufficient sample | 7 |
| 2025-11 | Correct and above | Insufficient sample | 7 |
| 2025-12 | Correct and above | Insufficient sample | 7 |
| 2026-03 | Correct and above | Insufficient sample | 8 |
| 2026-04 | Correct and above | 40.0% | 10 |
| 2026-05 | Correct and above | 40.0% | 10 |
| 2026-06 | Correct and above | 40.0% | 10 |
| 2026-08 | Correct and above | 40.0% | 10 |
| 2026-09 | Correct and above | 40.0% | 10 |
| 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 |
| 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 |
4. Predictive profile for Gamba Osaka
ContextObserved measureReading
Home performance1.75 pts/matchHigher observed return
Away performance1.10 pts/matchLower observed return
5. Statistical markers for Gamba Osaka
Team values from Foresportia sources, without a reconstructed league average.
History: 57 verified matches
6. Market signals for Gamba Osaka
MarketAverage probabilityReliabilityVolumeReading
Both teams to score54.2%73.3%15Success above the average probability
Double chance 1X68.0%70.6%17Robust signal
Double chance X266.8%66.7%18Confirmed signal
Double chance 1270.4%55.0%20Success below the average probability
Over 2.552.7%60.0%5Promising signal, limited sample
7. Model dynamics & analysis
Foresportia Elo trendTracks the team’s relative level as matches are played.
Gamba Osaka
Average model confidenceShows how the model’s average certainty changes across matches.
Gamba Osaka
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.
Gamba Osaka
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.
Gamba Osaka
8. Foresportia analysis
For Foresportia, Gamba Osaka mainly draws value from its home edge. This page also tracks ranking, Elo evolution, goal trends and the market signals Foresportia finds most useful.
Gamba Osaka still needs to be read through recent form, Elo and its advanced production indicators.
The next detected match is JEF United Chiba vs Gamba Osaka on . The leading 1X2 read currently points to “Away win” around 54%.
AI verdictCautious predictive reliability
Correct and above: 40.0% success across 10 verified 1X2 predictions.
Verify the complete history →Continue exploring
Upcoming matches, competition, other teams and verifiable history.
9. Gamba Osaka FAQ
What is the next match for Gamba Osaka on Foresportia?
This page shows Gamba Osaka's confirmed next match with the enriched prediction probabilities that are currently available.
How should you read Gamba Osaka's ranking and Elo?
This page includes dedicated charts for Gamba Osaka's ranking and Elo trends, with season separators to make the evolution easier to read.
What does the strongest picks block mean for Gamba Osaka?
It highlights the markets that performed best in the available history for Gamba Osaka, together with sample size, hit rate and average probability.
Gamba Osaka: AI analysis, predictions and Foresportia signals
For Foresportia, Gamba Osaka mainly draws value from its home edge. This page also tracks ranking, Elo evolution, goal trends and the market signals Foresportia finds most useful.
Gamba Osaka still needs to be read through recent form, Elo and its advanced production indicators.
The next detected match is JEF United Chiba vs Gamba Osaka on . The leading 1X2 read currently points to “Away win” around 54%.