Foresportia Elo
1597Chinese Super League rank : 4th
Shandong Taishan
Foresportia analyses Shandong Taishan using its match data and proprietary models: Elo level, recent form, probabilities, observed reliability and verifiable market signals.
1X2 entropy
1.45Lower = easier to readPoints volatility
1.20Standard deviation over 5 matchesRecent form
1.60Points per match over 5 matchesModel confidence
56.8%Average over 10 predictionsCurrent analysis: Shandong Taishan
The attack of Shandong Taishan is productive, scoring 10 goals across the last five recorded matches in Chinese Super League. They have conceded 6 goals over these matches. The team have taken 8 points from a possible 15 over these matches.
Chinese Super League · 2026 · 27 matches analyzed
View analyzed match details
| Date | Goals scored | Goals conceded | Points |
|---|---|---|---|
| 0 | 2 | 0 | |
| 3 | 2 | 3 | |
| 1 | 1 | 1 | |
| 1 | 1 | 1 | |
| 5 | 0 | 3 |
1. How Foresportia evaluates Shandong Taishan
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 Shandong Taishan
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 | 1 |
| 2025-04 | Risk | Insufficient sample | 4 |
| 2025-05 | Risk | Insufficient sample | 7 |
| 2025-06 | Risk | Insufficient sample | 9 |
| 2025-07 | Risk | Insufficient sample | 9 |
| 2025-08 | Risk | 50.0% | 10 |
| 2025-09 | Risk | 41.7% | 12 |
| 2025-10 | Risk | 40.0% | 15 |
| 2025-11 | Risk | 40.0% | 15 |
| 2026-03 | Risk | 41.2% | 17 |
| 2026-04 | Risk | 38.1% | 21 |
| 2026-05 | Risk | 40.0% | 25 |
| 2026-06 | Risk | 42.3% | 26 |
| 2026-07 | Risk | 42.9% | 28 |
| 2026-08 | Risk | 40.6% | 32 |
| 2026-09 | Risk | 40.6% | 32 |
| 2026-10 | Risk | 41.2% | 34 |
| 2025-02 | Correct and above | Insufficient sample | 2 |
| 2025-03 | Correct and above | Insufficient sample | 2 |
| 2025-04 | Correct and above | Insufficient sample | 5 |
| 2025-05 | Correct and above | Insufficient sample | 6 |
| 2025-06 | Correct and above | Insufficient sample | 7 |
| 2025-07 | Correct and above | Insufficient sample | 9 |
| 2025-08 | Correct and above | 84.6% | 13 |
| 2025-09 | Correct and above | 84.6% | 13 |
| 2025-10 | Correct and above | 84.6% | 13 |
| 2025-11 | Correct and above | 86.7% | 15 |
| 2026-03 | Correct and above | 86.7% | 15 |
| 2026-04 | Correct and above | 81.2% | 16 |
| 2026-05 | Correct and above | 73.7% | 19 |
| 2026-06 | Correct and above | 73.7% | 19 |
| 2026-07 | Correct and above | 71.4% | 21 |
| 2026-08 | Correct and above | 72.7% | 22 |
| 2026-09 | Correct and above | 69.6% | 23 |
| 2026-10 | Correct and above | 69.6% | 23 |
| 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 | 2 |
| 2025-06 | Stable and above | Insufficient sample | 3 |
| 2025-07 | Stable and above | Insufficient sample | 4 |
| 2025-08 | Stable and above | Insufficient sample | 8 |
| 2025-09 | Stable and above | Insufficient sample | 8 |
| 2025-10 | Stable and above | Insufficient sample | 8 |
| 2025-11 | Stable and above | Insufficient sample | 8 |
| 2026-03 | Stable and above | Insufficient sample | 8 |
| 2026-04 | Stable and above | Insufficient sample | 8 |
| 2026-05 | Stable and above | Insufficient sample | 8 |
| 2026-06 | Stable and above | Insufficient sample | 8 |
| 2026-07 | Stable and above | Insufficient sample | 8 |
| 2026-08 | Stable and above | Insufficient sample | 8 |
| 2026-09 | Stable and above | Insufficient sample | 8 |
| 2026-10 | Stable and above | Insufficient sample | 8 |
| 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 | 2 |
| 2025-06 | Ultra stable | Insufficient sample | 3 |
| 2025-07 | Ultra stable | Insufficient sample | 4 |
| 2025-08 | Ultra stable | Insufficient sample | 8 |
| 2025-09 | Ultra stable | Insufficient sample | 8 |
| 2025-10 | Ultra stable | Insufficient sample | 8 |
| 2025-11 | Ultra stable | Insufficient sample | 8 |
| 2026-03 | Ultra stable | Insufficient sample | 8 |
| 2026-04 | Ultra stable | Insufficient sample | 8 |
| 2026-05 | Ultra stable | Insufficient sample | 8 |
| 2026-06 | Ultra stable | Insufficient sample | 8 |
| 2026-07 | Ultra stable | Insufficient sample | 8 |
| 2026-08 | Ultra stable | Insufficient sample | 8 |
| 2026-09 | Ultra stable | Insufficient sample | 8 |
| 2026-10 | Ultra stable | Insufficient sample | 8 |
4. Predictive profile for Shandong Taishan
ContextObserved measureReading
Home performance2.07 pts/matchHigher observed return
Away performance1.34 pts/matchLower observed return
5. Statistical markers for Shandong Taishan
Team values from Foresportia sources, without a reconstructed league average.
History: 57 verified matches
6. Market signals for Shandong Taishan
MarketAverage probabilityReliabilityVolumeReading
Double chance 1273.6%82.1%28Major, well-documented signal
Both teams to score60.4%73.9%23Success above the average probability
Double chance 1X70.9%72.0%25Robust signal
Over 2.560.2%65.2%23Confirmed signal
7. Model dynamics & analysis
Foresportia Elo trendTracks the team’s relative level as matches are played.
Shandong Taishan
Average model confidenceShows how the model’s average certainty changes across matches.
Shandong Taishan
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.
Shandong Taishan
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.
Shandong Taishan
8. Foresportia analysis
For Foresportia, Shandong Taishan mainly shows a more productive attacking profile. This page also tracks ranking, Elo evolution, goal trends and the market signals Foresportia finds most useful.
Shandong Taishan shows a stronger attacking profile, scoring 2.00 goals per match recently.
The next detected match is Wuhan Three Towns vs Shandong Taishan on . The leading 1X2 read currently points to “Away win” around 50%.
AI verdictStrong predictive reliability
Correct and above: 69.6% success across 23 verified 1X2 predictions.
Verify the complete history →Continue exploring
Upcoming matches, competition, other teams and verifiable history.
9. Shandong Taishan FAQ
What is the next match for Shandong Taishan on Foresportia?
This page shows Shandong Taishan's confirmed next match with the enriched prediction probabilities that are currently available.
How should you read Shandong Taishan's ranking and Elo?
This page includes dedicated charts for Shandong Taishan's ranking and Elo trends, with season separators to make the evolution easier to read.
What does the strongest picks block mean for Shandong Taishan?
It highlights the markets that performed best in the available history for Shandong Taishan, together with sample size, hit rate and average probability.
Shandong Taishan: AI analysis, predictions and Foresportia signals
For Foresportia, Shandong Taishan mainly shows a more productive attacking profile. This page also tracks ranking, Elo evolution, goal trends and the market signals Foresportia finds most useful.
Shandong Taishan shows a stronger attacking profile, scoring 2.00 goals per match recently.
The next detected match is Wuhan Three Towns vs Shandong Taishan on . The leading 1X2 read currently points to “Away win” around 50%.