Foresportia Elo
1504J1 League rank : 8th
Nagoya Grampus
Foresportia analyses Nagoya Grampus using its match data and proprietary models: Elo level, recent form, probabilities, observed reliability and verifiable market signals.
1X2 entropy
1.55Lower = easier to readPoints volatility
1.47Standard deviation over 5 matchesRecent form
1.20Points per match over 5 matchesModel confidence
46.5%Average over 10 predictions1. How Foresportia evaluates Nagoya Grampus
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 Nagoya Grampus
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 | 5 |
| 2025-04 | Risk | 50.0% | 10 |
| 2025-05 | Risk | 43.8% | 16 |
| 2025-06 | Risk | 42.1% | 19 |
| 2025-07 | Risk | 42.9% | 21 |
| 2025-08 | Risk | 45.8% | 24 |
| 2025-09 | Risk | 46.4% | 28 |
| 2025-10 | Risk | 48.4% | 31 |
| 2025-11 | Risk | 50.0% | 32 |
| 2025-12 | Risk | 48.5% | 33 |
| 2026-03 | Risk | 45.7% | 35 |
| 2026-04 | Risk | 43.2% | 37 |
| 2026-05 | Risk | 46.5% | 43 |
| 2026-06 | Risk | 47.7% | 44 |
| 2026-08 | Risk | 50.0% | 48 |
| 2025-02 | Correct and above | Insufficient sample | 1 |
| 2025-03 | Correct and above | Insufficient sample | 2 |
| 2025-04 | Correct and above | Insufficient sample | 3 |
| 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 | 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 | 5 |
| 2026-03 | Correct and above | Insufficient sample | 5 |
| 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 | 8 |
| 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 |
| 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 |
4. Predictive profile for Nagoya Grampus
ContextObserved measureReading
Home performance1.72 pts/matchHigher observed return
Away performance0.78 pts/matchLower observed return
5. Statistical markers for Nagoya Grampus
Team values from Foresportia sources, without a reconstructed league average.
History: 56 verified matches
6. Market signals for Nagoya Grampus
MarketAverage probabilityReliabilityVolumeReading
Double chance 1X71.2%83.3%18Major, well-documented signal
Double chance 1270.2%78.9%19Major, well-documented signal
Both teams to score54.4%80.0%15Major, well-documented signal
Over 2.552.3%85.7%7Promising signal, limited sample
Home draw no bet63.8%64.3%14Recurring signal
7. Model dynamics & analysis
Foresportia Elo trendTracks the team’s relative level as matches are played.
Nagoya Grampus
Average model confidenceShows how the model’s average certainty changes across matches.
Nagoya Grampus
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.
Nagoya Grampus
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.
Nagoya Grampus
8. Foresportia analysis
For Foresportia, Nagoya Grampus mainly draws value from its home edge. This page also tracks ranking, Elo evolution, goal trends and the market signals Foresportia finds most useful.
Nagoya Grampus still needs to be read through recent form, Elo and its advanced production indicators.
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. Nagoya Grampus FAQ
What is the next match for Nagoya Grampus on Foresportia?
This page shows Nagoya Grampus's confirmed next match with the enriched prediction probabilities that are currently available.
How should you read Nagoya Grampus's ranking and Elo?
This page includes dedicated charts for Nagoya Grampus's ranking and Elo trends, with season separators to make the evolution easier to read.
What does the strongest picks block mean for Nagoya Grampus?
It highlights the markets that performed best in the available history for Nagoya Grampus, together with sample size, hit rate and average probability.
Nagoya Grampus: AI analysis, predictions and Foresportia signals
For Foresportia, Nagoya Grampus mainly draws value from its home edge. This page also tracks ranking, Elo evolution, goal trends and the market signals Foresportia finds most useful.
Nagoya Grampus still needs to be read through recent form, Elo and its advanced production indicators.
The next detected match is Sanfrecce Hiroshima vs Nagoya Grampus on . The leading 1X2 read currently points to “Home win” around 51%.