Foresportia Elo
1519J1 League rank : 7th
Kawasaki Frontale
Foresportia analyses Kawasaki Frontale using its match data and proprietary models: Elo level, recent form, probabilities, observed reliability and verifiable market signals.
1X2 entropy
1.51Lower = easier to readPoints volatility
1.26Standard deviation over 5 matchesRecent form
2.00Points per match over 5 matchesModel confidence
52.2%Average over 10 predictionsCurrent analysis: Kawasaki Frontale
No usable results have been recorded for Kawasaki Frontale in J1 League this season, so their form is still unknown.
J1 League · 2027 · 0 matches analyzed
1. How Foresportia evaluates Kawasaki Frontale
Summary of indicators actually available in Foresportia data.
2. Next match
Kawasaki FrontaleElo : 1547
Vissel KobeElo : 1636
1X2 probabilities (Foresportia model)
Kawasaki Frontale 30%Draw 28%Vissel Kobe 42%
3. Prediction reliability for Kawasaki Frontale
Data updated on 20 October 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 | Insufficient sample | 9 |
| 2025-05 | Risk | 38.5% | 13 |
| 2025-06 | Risk | 43.8% | 16 |
| 2025-07 | Risk | 44.4% | 18 |
| 2025-08 | Risk | 40.9% | 22 |
| 2025-09 | Risk | 44.0% | 25 |
| 2025-10 | Risk | 40.7% | 27 |
| 2025-11 | Risk | 39.3% | 28 |
| 2025-12 | Risk | 39.3% | 28 |
| 2026-03 | Risk | 38.7% | 31 |
| 2026-04 | Risk | 40.0% | 35 |
| 2026-05 | Risk | 42.5% | 40 |
| 2026-06 | Risk | 43.9% | 41 |
| 2026-08 | Risk | 40.9% | 44 |
| 2026-09 | Risk | 43.8% | 48 |
| 2026-10 | Risk | 42.9% | 49 |
| 2025-02 | Correct and above | Insufficient sample | 1 |
| 2025-03 | Correct and above | Insufficient sample | 1 |
| 2025-04 | Correct and above | Insufficient sample | 3 |
| 2025-05 | Correct and above | Insufficient sample | 5 |
| 2025-06 | Correct and above | Insufficient sample | 6 |
| 2025-07 | Correct and above | Insufficient sample | 6 |
| 2025-08 | Correct and above | Insufficient sample | 6 |
| 2025-09 | Correct and above | Insufficient sample | 7 |
| 2025-10 | Correct and above | Insufficient sample | 8 |
| 2025-11 | Correct and above | Insufficient sample | 9 |
| 2025-12 | Correct and above | 60.0% | 10 |
| 2026-03 | Correct and above | 60.0% | 10 |
| 2026-04 | Correct and above | 63.6% | 11 |
| 2026-05 | Correct and above | 66.7% | 12 |
| 2026-06 | Correct and above | 66.7% | 12 |
| 2026-08 | Correct and above | 69.2% | 13 |
| 2026-09 | Correct and above | 69.2% | 13 |
| 2026-10 | Correct and above | 64.3% | 14 |
| 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 | 1 |
| 2025-06 | Stable and above | Insufficient sample | 1 |
| 2025-07 | Stable and above | Insufficient sample | 1 |
| 2025-08 | Stable and above | Insufficient sample | 1 |
| 2025-09 | Stable and above | Insufficient sample | 1 |
| 2025-10 | Stable and above | Insufficient sample | 1 |
| 2025-11 | Stable and above | Insufficient sample | 1 |
| 2025-12 | Stable and above | Insufficient sample | 1 |
| 2026-03 | Stable and above | Insufficient sample | 1 |
| 2026-04 | Stable and above | Insufficient sample | 1 |
| 2026-05 | Stable and above | Insufficient sample | 1 |
| 2026-06 | Stable and above | Insufficient sample | 1 |
| 2026-08 | Stable and above | Insufficient sample | 1 |
| 2026-09 | Stable and above | Insufficient sample | 1 |
| 2026-10 | Stable and above | Insufficient sample | 1 |
| 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 Kawasaki Frontale
ContextObserved measureReading
Home performance1.55 pts/matchComparable return
Away performance1.41 pts/matchComparable return
5. Statistical markers for Kawasaki Frontale
Team values from Foresportia sources, without a reconstructed league average.
History: 63 verified matches
6. Market signals for Kawasaki Frontale
MarketAverage probabilityReliabilityVolumeReading
Double chance 1273.3%76.9%26Major, well-documented signal
Double chance 1X68.9%73.9%23Robust signal
Double chance X263.2%60.9%23Recurring signal
Both teams to score58.9%60.9%23Recurring signal
Home draw no bet65.1%57.1%14Recurring signal
7. Model dynamics & analysis
Foresportia Elo trendTracks the team’s relative level as matches are played.
Kawasaki Frontale
Average model confidenceShows how the model’s average certainty changes across matches.
Kawasaki Frontale
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.
Kawasaki Frontale
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.
Kawasaki Frontale
8. Foresportia analysis
For Foresportia, Kawasaki Frontale mainly combines stronger recent control and a more reliable defensive base. This page also tracks ranking, Elo evolution, goal trends and the market signals Foresportia finds most useful.
Kawasaki Frontale is going through a strong control sequence, with 2.00 points per match over the last five matches and an average xG delta of 0.91.
The next detected match is Kawasaki Frontale vs Vissel Kobe on . The leading 1X2 read currently points to “Away win” around 42%.
AI verdictModerate predictive reliability
Correct and above: 64.3% success across 14 verified 1X2 predictions.
Verify the complete history →Continue exploring
Upcoming matches, competition, other teams and verifiable history.
9. Kawasaki Frontale FAQ
What is the next match for Kawasaki Frontale on Foresportia?
This page shows Kawasaki Frontale's confirmed next match with the enriched prediction probabilities that are currently available.
How should you read Kawasaki Frontale's ranking and Elo?
This page includes dedicated charts for Kawasaki Frontale's ranking and Elo trends, with season separators to make the evolution easier to read.
What does the strongest picks block mean for Kawasaki Frontale?
It highlights the markets that performed best in the available history for Kawasaki Frontale, together with sample size, hit rate and average probability.
Kawasaki Frontale: AI analysis, predictions and Foresportia signals
For Foresportia, Kawasaki Frontale mainly combines stronger recent control and a more reliable defensive base. This page also tracks ranking, Elo evolution, goal trends and the market signals Foresportia finds most useful.
Kawasaki Frontale is going through a strong control sequence, with 2.00 points per match over the last five matches and an average xG delta of 0.91.
The next detected match is Kawasaki Frontale vs Vissel Kobe on . The leading 1X2 read currently points to “Away win” around 42%.