Foresportia Elo
1622J1 League rank : 3rd
FC Tokyo
Foresportia analyses FC Tokyo 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
0.00Standard deviation over 5 matchesRecent form
3.00Points per match over 5 matchesModel confidence
46.9%Average over 10 predictionsCurrent analysis: FC Tokyo
No usable results have been recorded for FC Tokyo in J1 League this season, so their form is still unknown.
J1 League · 2027 · 0 matches analyzed
1. How Foresportia evaluates FC Tokyo
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 FC Tokyo
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 | 6 |
| 2025-04 | Risk | 50.0% | 12 |
| 2025-05 | Risk | 52.9% | 17 |
| 2025-06 | Risk | 50.0% | 20 |
| 2025-07 | Risk | 50.0% | 22 |
| 2025-08 | Risk | 50.0% | 26 |
| 2025-09 | Risk | 51.7% | 29 |
| 2025-10 | Risk | 50.0% | 32 |
| 2025-11 | Risk | 48.5% | 33 |
| 2025-12 | Risk | 48.5% | 33 |
| 2026-03 | Risk | 47.1% | 34 |
| 2026-04 | Risk | 50.0% | 38 |
| 2026-05 | Risk | 51.2% | 43 |
| 2026-06 | Risk | 50.0% | 44 |
| 2026-08 | Risk | 51.1% | 47 |
| 2026-09 | Risk | 52.9% | 51 |
| 2026-10 | Risk | 54.7% | 53 |
| 2025-02 | Correct and above | Insufficient sample | 0 |
| 2025-03 | Correct and above | Insufficient sample | 1 |
| 2025-04 | Correct and above | Insufficient sample | 1 |
| 2025-05 | Correct and above | Insufficient sample | 1 |
| 2025-06 | Correct and above | Insufficient sample | 2 |
| 2025-07 | Correct and above | Insufficient sample | 2 |
| 2025-08 | Correct and above | Insufficient sample | 2 |
| 2025-09 | Correct and above | Insufficient sample | 3 |
| 2025-10 | Correct and above | Insufficient sample | 3 |
| 2025-11 | Correct and above | Insufficient sample | 4 |
| 2025-12 | Correct and above | Insufficient sample | 5 |
| 2026-03 | Correct and above | Insufficient sample | 6 |
| 2026-04 | Correct and above | Insufficient sample | 7 |
| 2026-05 | Correct and above | Insufficient sample | 8 |
| 2026-06 | Correct and above | Insufficient sample | 8 |
| 2026-08 | Correct and above | Insufficient sample | 9 |
| 2026-09 | Correct and above | Insufficient sample | 9 |
| 2026-10 | Correct and above | Insufficient sample | 9 |
| 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 | 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 FC Tokyo
ContextObserved measureReading
Home performance1.67 pts/matchHigher observed return
Away performance1.50 pts/matchLower observed return
5. Statistical markers for FC Tokyo
Team values from Foresportia sources, without a reconstructed league average.
History: 62 verified matches
6. Market signals for FC Tokyo
MarketAverage probabilityReliabilityVolumeReading
Away draw no bet60.3%80.0%10Success above the average probability
Double chance X263.6%72.7%22Success above the average probability
Double chance 1271.9%72.0%25Robust signal
Double chance 1X68.9%62.5%24Recurring signal
Over 2.555.1%60.0%15Recurring signal
7. Model dynamics & analysis
Foresportia Elo trendTracks the team’s relative level as matches are played.
FC Tokyo
Average model confidenceShows how the model’s average certainty changes across matches.
FC Tokyo
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.
FC Tokyo
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.
FC Tokyo
8. Foresportia analysis
For Foresportia, FC Tokyo 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.
FC Tokyo is going through a strong control sequence, with 3.00 points per match over the last five matches and an average xG delta of 0.58.
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. FC Tokyo FAQ
What is the next match for FC Tokyo on Foresportia?
This page shows FC Tokyo's confirmed next match with the enriched prediction probabilities that are currently available.
How should you read FC Tokyo's ranking and Elo?
This page includes dedicated charts for FC Tokyo's ranking and Elo trends, with season separators to make the evolution easier to read.
What does the strongest picks block mean for FC Tokyo?
It highlights the markets that performed best in the available history for FC Tokyo, together with sample size, hit rate and average probability.
FC Tokyo: AI analysis, predictions and Foresportia signals
For Foresportia, FC Tokyo 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.
FC Tokyo is going through a strong control sequence, with 3.00 points per match over the last five matches and an average xG delta of 0.58.
The next detected match is FC Tokyo vs Kashiwa Reysol on . The leading 1X2 read currently points to “Home win” around 41%.