Foresportia Elo
1604J1 League rank : 5th
Kashiwa Reysol
Foresportia analyses Kashiwa Reysol 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
1.47Standard deviation over 5 matchesRecent form
1.80Points per match over 5 matchesModel confidence
47.4%Average over 10 predictionsCurrent analysis: Kashiwa Reysol
No usable results have been recorded for Kashiwa Reysol in J1 League this season, so their form is still unknown.
J1 League · 2027 · 0 matches analyzed
1. How Foresportia evaluates Kashiwa Reysol
Summary of indicators actually available in Foresportia data.
2. Next match
FC TokyoElo : 1638
Kashiwa ReysolElo : 1570
1X2 probabilities (Foresportia model)
FC Tokyo 41%Draw 29%Kashiwa Reysol 30%
3. Prediction reliability for Kashiwa Reysol
Data updated on 19 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 | 30.8% | 13 |
| 2025-05 | Risk | 31.6% | 19 |
| 2025-06 | Risk | 36.4% | 22 |
| 2025-07 | Risk | 37.5% | 24 |
| 2025-08 | Risk | 39.3% | 28 |
| 2025-09 | Risk | 37.5% | 32 |
| 2025-10 | Risk | 38.2% | 34 |
| 2025-11 | Risk | 40.0% | 35 |
| 2025-12 | Risk | 38.9% | 36 |
| 2026-03 | Risk | 37.8% | 37 |
| 2026-04 | Risk | 40.5% | 42 |
| 2026-05 | Risk | 40.4% | 47 |
| 2026-06 | Risk | 39.6% | 48 |
| 2026-08 | Risk | 43.1% | 51 |
| 2026-09 | Risk | 43.6% | 55 |
| 2026-10 | Risk | 42.1% | 57 |
| 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 | 1 |
| 2025-11 | Correct and above | Insufficient sample | 2 |
| 2025-12 | Correct and above | Insufficient sample | 2 |
| 2026-03 | Correct and above | Insufficient sample | 3 |
| 2026-04 | Correct and above | Insufficient sample | 3 |
| 2026-05 | Correct and above | Insufficient sample | 4 |
| 2026-06 | Correct and above | Insufficient sample | 4 |
| 2026-08 | Correct and above | Insufficient sample | 5 |
| 2026-09 | Correct and above | Insufficient sample | 5 |
| 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 Kashiwa Reysol
ContextObserved measureReading
Home performance1.94 pts/matchHigher observed return
Away performance1.77 pts/matchLower observed return
5. Statistical markers for Kashiwa Reysol
Team values from Foresportia sources, without a reconstructed league average.
History: 62 verified matches
6. Market signals for Kashiwa Reysol
MarketAverage probabilityReliabilityVolumeReading
Double chance 1270.5%96.0%25Major, well-documented signal
Double chance X264.6%59.1%22Recurring signal
7. Model dynamics & analysis
Foresportia Elo trendTracks the team’s relative level as matches are played.
Kashiwa Reysol
Average model confidenceShows how the model’s average certainty changes across matches.
Kashiwa Reysol
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.
Kashiwa Reysol
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.
Kashiwa Reysol
8. Foresportia analysis
For Foresportia, Kashiwa Reysol mainly shows a more productive attacking profile. This page also tracks ranking, Elo evolution, goal trends and the market signals Foresportia finds most useful.
Kashiwa Reysol shows a stronger attacking profile, scoring 2.40 goals per match recently.
The next detected match is FC Tokyo vs Kashiwa Reysol on . The leading 1X2 read currently points to “Home win” around 41%.
Continue exploring
Upcoming matches, competition, other teams and verifiable history.
9. Kashiwa Reysol FAQ
What is the next match for Kashiwa Reysol on Foresportia?
This page shows Kashiwa Reysol's confirmed next match with the enriched prediction probabilities that are currently available.
How should you read Kashiwa Reysol's ranking and Elo?
This page includes dedicated charts for Kashiwa Reysol's ranking and Elo trends, with season separators to make the evolution easier to read.
What does the strongest picks block mean for Kashiwa Reysol?
It highlights the markets that performed best in the available history for Kashiwa Reysol, together with sample size, hit rate and average probability.
Kashiwa Reysol: AI analysis, predictions and Foresportia signals
For Foresportia, Kashiwa Reysol mainly shows a more productive attacking profile. This page also tracks ranking, Elo evolution, goal trends and the market signals Foresportia finds most useful.
Kashiwa Reysol shows a stronger attacking profile, scoring 2.40 goals per match recently.
The next detected match is FC Tokyo vs Kashiwa Reysol on . The leading 1X2 read currently points to “Home win” around 41%.