Foresportia Elo
1575J1 League rank : 8th
Yokohama Marinos
Foresportia analyses Yokohama Marinos 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
1.80Points per match over 5 matchesModel confidence
48.7%Average over 10 predictionsCurrent analysis: Yokohama Marinos
No usable results have been recorded for Yokohama Marinos in J1 League this season, so their form is still unknown.
J1 League · 2027 · 0 matches analyzed
1. How Foresportia evaluates Yokohama Marinos
Summary of indicators actually available in Foresportia data.
2. Next match
Yokohama MarinosElo : 1570
Tokyo VerdyElo : 1381
1X2 probabilities (Foresportia model)
Yokohama Marinos 55%Draw 28%Tokyo Verdy 17%
3. Prediction reliability for Yokohama Marinos
Data updated on 21 October 2026
Reliability trendCumulative monthly history
Insufficient sample| Cumulative monthly history | Profile | Reliability | Volume |
|---|---|---|---|
| 2025-02 | Risk | Insufficient sample | 1 |
| 2025-03 | Risk | Insufficient sample | 4 |
| 2025-04 | Risk | Insufficient sample | 8 |
| 2025-05 | Risk | 50.0% | 14 |
| 2025-06 | Risk | 38.9% | 18 |
| 2025-07 | Risk | 45.0% | 20 |
| 2025-08 | Risk | 45.8% | 24 |
| 2025-09 | Risk | 53.6% | 28 |
| 2025-10 | Risk | 54.8% | 31 |
| 2025-11 | Risk | 56.2% | 32 |
| 2025-12 | Risk | 56.2% | 32 |
| 2026-03 | Risk | 52.9% | 34 |
| 2026-04 | Risk | 56.4% | 39 |
| 2026-05 | Risk | 52.3% | 44 |
| 2026-06 | Risk | 53.3% | 45 |
| 2026-08 | Risk | 53.1% | 49 |
| 2026-09 | Risk | 50.0% | 52 |
| 2026-10 | Risk | 48.1% | 54 |
| 2025-02 | Correct and above | Insufficient sample | 2 |
| 2025-03 | Correct and above | Insufficient sample | 2 |
| 2025-04 | Correct and above | Insufficient sample | 4 |
| 2025-05 | Correct and above | Insufficient sample | 4 |
| 2025-06 | Correct and above | Insufficient sample | 4 |
| 2025-07 | Correct and above | Insufficient sample | 4 |
| 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 | 6 |
| 2026-05 | Correct and above | Insufficient sample | 7 |
| 2026-06 | Correct and above | Insufficient sample | 7 |
| 2026-08 | Correct and above | Insufficient sample | 7 |
| 2026-09 | Correct and above | Insufficient sample | 8 |
| 2026-10 | 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 |
| 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 Yokohama Marinos
ContextObserved measureReading
Home performance1.31 pts/matchComparable return
Away performance1.18 pts/matchComparable return
5. Statistical markers for Yokohama Marinos
Team values from Foresportia sources, without a reconstructed league average.
History: 62 verified matches
6. Market signals for Yokohama Marinos
MarketAverage probabilityReliabilityVolumeReading
Double chance X266.0%72.7%22Robust signal
Double chance 1272.8%70.8%24Robust signal
Double chance 1X66.4%57.1%21Success below the average probability
7. Model dynamics & analysis
Foresportia Elo trendTracks the team’s relative level as matches are played.
Yokohama Marinos
Average model confidenceShows how the model’s average certainty changes across matches.
Yokohama Marinos
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.
Yokohama Marinos
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.
Yokohama Marinos
8. Foresportia analysis
For Foresportia, Yokohama Marinos mainly relies on a more reliable defensive base. This page also tracks ranking, Elo evolution, goal trends and the market signals Foresportia finds most useful.
Yokohama Marinos currently relies on a more reliable defensive base, conceding only 0.20 goals per match recently.
The next detected match is Yokohama Marinos vs Tokyo Verdy on . The leading 1X2 read currently points to “Home win” around 55%.
Continue exploring
Upcoming matches, competition, other teams and verifiable history.
9. Yokohama Marinos FAQ
What is the next match for Yokohama Marinos on Foresportia?
This page shows Yokohama Marinos's confirmed next match with the enriched prediction probabilities that are currently available.
How should you read Yokohama Marinos's ranking and Elo?
This page includes dedicated charts for Yokohama Marinos's ranking and Elo trends, with season separators to make the evolution easier to read.
What does the strongest picks block mean for Yokohama Marinos?
It highlights the markets that performed best in the available history for Yokohama Marinos, together with sample size, hit rate and average probability.
Yokohama Marinos: AI analysis, predictions and Foresportia signals
For Foresportia, Yokohama Marinos mainly relies on a more reliable defensive base. This page also tracks ranking, Elo evolution, goal trends and the market signals Foresportia finds most useful.
Yokohama Marinos currently relies on a more reliable defensive base, conceding only 0.20 goals per match recently.
The next detected match is Yokohama Marinos vs Tokyo Verdy on . The leading 1X2 read currently points to “Home win” around 55%.