Foresportia Elo
1468Chinese Super League rank : 15th
Wuhan Three Towns
Foresportia analyses Wuhan Three Towns using its match data and proprietary models: Elo level, recent form, probabilities, observed reliability and verifiable market signals.
1X2 entropy
1.52Lower = easier to readPoints volatility
0.49Standard deviation over 5 matchesRecent form
0.60Points per match over 5 matchesModel confidence
45.9%Average over 10 predictionsCurrent analysis: Wuhan Three Towns
Wuhan Three Towns are going through a difficult run, taking 3 points from the last five recorded matches in Chinese Super League. Their defense needs attention: 11 goals conceded against 6 scored.
Chinese Super League · 2026 · 28 matches analyzed
View analyzed match details
| Date | Goals scored | Goals conceded | Points |
|---|---|---|---|
| 2 | 2 | 1 | |
| 1 | 1 | 1 | |
| 1 | 4 | 0 | |
| 1 | 1 | 1 | |
| 1 | 3 | 0 |
1. How Foresportia evaluates Wuhan Three Towns
Summary of indicators actually available in Foresportia data.
2. Next match
Wuhan Three TownsElo : 1451
Shandong TaishanElo : 1617
1X2 probabilities (Foresportia model)
Wuhan Three Towns 22%Draw 27%Shandong Taishan 50%
3. Prediction reliability for Wuhan Three Towns
Data updated on 20 October 2026
Reliability trendCumulative monthly history
Insufficient sample| Cumulative monthly history | Profile | Reliability | Volume |
|---|---|---|---|
| 2025-02 | Risk | Insufficient sample | 0 |
| 2025-03 | Risk | Insufficient sample | 2 |
| 2025-04 | Risk | Insufficient sample | 6 |
| 2025-05 | Risk | Insufficient sample | 8 |
| 2025-06 | Risk | 40.0% | 10 |
| 2025-07 | Risk | 36.4% | 11 |
| 2025-08 | Risk | 33.3% | 12 |
| 2025-09 | Risk | 46.7% | 15 |
| 2025-10 | Risk | 47.1% | 17 |
| 2025-11 | Risk | 44.4% | 18 |
| 2026-03 | Risk | 50.0% | 20 |
| 2026-04 | Risk | 50.0% | 24 |
| 2026-05 | Risk | 41.4% | 29 |
| 2026-06 | Risk | 41.4% | 29 |
| 2026-07 | Risk | 43.8% | 32 |
| 2026-08 | Risk | 45.7% | 35 |
| 2026-09 | Risk | 44.7% | 38 |
| 2026-10 | Risk | 45.0% | 40 |
| 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 | 4 |
| 2025-06 | Correct and above | Insufficient sample | 6 |
| 2025-07 | Correct and above | Insufficient sample | 7 |
| 2025-08 | Correct and above | 72.7% | 11 |
| 2025-09 | Correct and above | 72.7% | 11 |
| 2025-10 | Correct and above | 72.7% | 11 |
| 2025-11 | Correct and above | 75.0% | 12 |
| 2026-03 | Correct and above | 69.2% | 13 |
| 2026-04 | Correct and above | 71.4% | 14 |
| 2026-05 | Correct and above | 62.5% | 16 |
| 2026-06 | Correct and above | 64.7% | 17 |
| 2026-07 | Correct and above | 64.7% | 17 |
| 2026-08 | Correct and above | 61.1% | 18 |
| 2026-09 | Correct and above | 61.1% | 18 |
| 2026-10 | Correct and above | 61.1% | 18 |
| 2025-02 | Stable and above | Insufficient sample | 1 |
| 2025-03 | Stable and above | Insufficient sample | 1 |
| 2025-04 | Stable and above | Insufficient sample | 2 |
| 2025-05 | Stable and above | Insufficient sample | 3 |
| 2025-06 | Stable and above | Insufficient sample | 4 |
| 2025-07 | Stable and above | Insufficient sample | 4 |
| 2025-08 | Stable and above | Insufficient sample | 5 |
| 2025-09 | Stable and above | Insufficient sample | 5 |
| 2025-10 | Stable and above | Insufficient sample | 5 |
| 2025-11 | Stable and above | Insufficient sample | 5 |
| 2026-03 | Stable and above | Insufficient sample | 5 |
| 2026-04 | Stable and above | Insufficient sample | 5 |
| 2026-05 | Stable and above | Insufficient sample | 5 |
| 2026-06 | Stable and above | Insufficient sample | 5 |
| 2026-07 | Stable and above | Insufficient sample | 5 |
| 2026-08 | Stable and above | Insufficient sample | 5 |
| 2026-09 | Stable and above | Insufficient sample | 5 |
| 2026-10 | Stable and above | Insufficient sample | 5 |
| 2025-02 | Ultra stable | Insufficient sample | 1 |
| 2025-03 | Ultra stable | Insufficient sample | 1 |
| 2025-04 | Ultra stable | Insufficient sample | 2 |
| 2025-05 | Ultra stable | Insufficient sample | 3 |
| 2025-06 | Ultra stable | Insufficient sample | 4 |
| 2025-07 | Ultra stable | Insufficient sample | 4 |
| 2025-08 | Ultra stable | Insufficient sample | 5 |
| 2025-09 | Ultra stable | Insufficient sample | 5 |
| 2025-10 | Ultra stable | Insufficient sample | 5 |
| 2025-11 | Ultra stable | Insufficient sample | 5 |
| 2026-03 | Ultra stable | Insufficient sample | 5 |
| 2026-04 | Ultra stable | Insufficient sample | 5 |
| 2026-05 | Ultra stable | Insufficient sample | 5 |
| 2026-06 | Ultra stable | Insufficient sample | 5 |
| 2026-07 | Ultra stable | Insufficient sample | 5 |
| 2026-08 | Ultra stable | Insufficient sample | 5 |
| 2026-09 | Ultra stable | Insufficient sample | 5 |
| 2026-10 | Ultra stable | Insufficient sample | 5 |
4. Predictive profile for Wuhan Three Towns
ContextObserved measureReading
Home performance1.17 pts/matchHigher observed return
Away performance0.62 pts/matchLower observed return
5. Statistical markers for Wuhan Three Towns
Team values from Foresportia sources, without a reconstructed league average.
History: 58 verified matches
6. Market signals for Wuhan Three Towns
MarketAverage probabilityReliabilityVolumeReading
Double chance 1X72.3%87.5%24Major, well-documented signal
Both teams to score59.4%73.1%26Success above the average probability
Double chance X265.5%65.2%23Confirmed signal
Double chance 1272.7%58.6%29Success below the average probability
Away win56.0%80.0%5Promising signal, limited sample
7. Model dynamics & analysis
Foresportia Elo trendTracks the team’s relative level as matches are played.
Wuhan Three Towns
Average model confidenceShows how the model’s average certainty changes across matches.
Wuhan Three Towns
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.
Wuhan Three Towns
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.
Wuhan Three Towns
8. Foresportia analysis
For Foresportia, Wuhan Three Towns mainly draws value from its home edge. This page also tracks ranking, Elo evolution, goal trends and the market signals Foresportia finds most useful.
Wuhan Three Towns still needs to be read through recent form, Elo and its advanced production indicators.
The next detected match is Wuhan Three Towns vs Shandong Taishan on . The leading 1X2 read currently points to “Away win” around 50%.
AI verdictModerate predictive reliability
Correct and above: 61.1% success across 18 verified 1X2 predictions.
Verify the complete history →Continue exploring
Upcoming matches, competition, other teams and verifiable history.
9. Wuhan Three Towns FAQ
What is the next match for Wuhan Three Towns on Foresportia?
This page shows Wuhan Three Towns's confirmed next match with the enriched prediction probabilities that are currently available.
How should you read Wuhan Three Towns's ranking and Elo?
This page includes dedicated charts for Wuhan Three Towns's ranking and Elo trends, with season separators to make the evolution easier to read.
What does the strongest picks block mean for Wuhan Three Towns?
It highlights the markets that performed best in the available history for Wuhan Three Towns, together with sample size, hit rate and average probability.
Wuhan Three Towns: AI analysis, predictions and Foresportia signals
For Foresportia, Wuhan Three Towns mainly draws value from its home edge. This page also tracks ranking, Elo evolution, goal trends and the market signals Foresportia finds most useful.
Wuhan Three Towns still needs to be read through recent form, Elo and its advanced production indicators.
The next detected match is Wuhan Three Towns vs Shandong Taishan on . The leading 1X2 read currently points to “Away win” around 50%.