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Tianjin Jinmen Tiger

Foresportia analyses Tianjin Jinmen Tiger using its match data and proprietary models: Elo level, recent form, probabilities, observed reliability and verifiable market signals.

Foresportia Elo
1595Chinese Super League rank : 10th
1X2 entropy
1.55Lower = easier to read
Points volatility
0.80Standard deviation over 5 matches
Recent form
2.60Points per match over 5 matches
Model confidence
46.1%Average over 10 predictions

Current analysis: Tianjin Jinmen Tiger

Tianjin Jinmen Tiger are enjoying a positive run, taking 13 points from the last five recorded matches in Chinese Super League. Their defense has held firm: 2 goals conceded against 6 goals scored.

Chinese Super League · 2026 · 27 matches analyzed

View analyzed match details
Matches analyzed (up to 5)
DateGoals scoredGoals concededPoints
111
213
103
103
103

1. How Foresportia evaluates Tianjin Jinmen Tiger

Summary of indicators actually available in Foresportia data.

1595Foresportia EloChinese Super League rank : 10th
1.551X2 entropyLower = easier to read
0.80Points volatilityStandard deviation over 5 matches
2.60Recent formpoints / match
46.1%Model confidenceAverage over 10 predictions

2. Next match

Chinese Super League

Tianjin Jinmen TigerElo : 1610
VS
Shanghai PortElo : 1679
1X2 probabilities (Foresportia model)
21%28%51%
Tianjin Jinmen Tiger 21%Draw 28%Shanghai Port 51%
Main signalAway win · 51%
Model confidence52.5%
StabilityRisk
View match details →

3. Prediction reliability for Tianjin Jinmen Tiger

Data updated on 20 October 2026

Reliability trendCumulative monthly history
Insufficient sample
Cumulative monthly historyProfileReliabilityVolume
2025-02RiskInsufficient sample0
2025-03RiskInsufficient sample2
2025-04RiskInsufficient sample6
2025-05RiskInsufficient sample8
2025-06Risk40.0%10
2025-07Risk41.7%12
2025-08Risk42.9%14
2025-09Risk41.2%17
2025-10Risk42.1%19
2025-11Risk45.0%20
2026-03Risk42.9%21
2026-04Risk42.3%26
2026-05Risk40.6%32
2026-06Risk42.4%33
2026-07Risk45.7%35
2026-08Risk47.5%40
2026-09Risk47.6%42
2026-10Risk46.5%43
2025-02Correct and aboveInsufficient sample1
2025-03Correct and aboveInsufficient sample1
2025-04Correct and aboveInsufficient sample3
2025-05Correct and aboveInsufficient sample5
2025-06Correct and aboveInsufficient sample6
2025-07Correct and aboveInsufficient sample6
2025-08Correct and aboveInsufficient sample9
2025-09Correct and aboveInsufficient sample9
2025-10Correct and aboveInsufficient sample9
2025-11Correct and above60.0%10
2026-03Correct and above63.6%11
2026-04Correct and above63.6%11
2026-05Correct and above58.3%12
2026-06Correct and above58.3%12
2026-07Correct and above53.8%13
2026-08Correct and above53.8%13
2026-09Correct and above53.8%13
2026-10Correct and above50.0%14
2025-02Stable and aboveInsufficient sample0
2025-03Stable and aboveInsufficient sample0
2025-04Stable and aboveInsufficient sample1
2025-05Stable and aboveInsufficient sample1
2025-06Stable and aboveInsufficient sample2
2025-07Stable and aboveInsufficient sample2
2025-08Stable and aboveInsufficient sample2
2025-09Stable and aboveInsufficient sample2
2025-10Stable and aboveInsufficient sample2
2025-11Stable and aboveInsufficient sample2
2026-03Stable and aboveInsufficient sample2
2026-04Stable and aboveInsufficient sample2
2026-05Stable and aboveInsufficient sample2
2026-06Stable and aboveInsufficient sample2
2026-07Stable and aboveInsufficient sample2
2026-08Stable and aboveInsufficient sample2
2026-09Stable and aboveInsufficient sample2
2026-10Stable and aboveInsufficient sample2
2025-02Ultra stableInsufficient sample0
2025-03Ultra stableInsufficient sample0
2025-04Ultra stableInsufficient sample1
2025-05Ultra stableInsufficient sample1
2025-06Ultra stableInsufficient sample2
2025-07Ultra stableInsufficient sample2
2025-08Ultra stableInsufficient sample2
2025-09Ultra stableInsufficient sample2
2025-10Ultra stableInsufficient sample2
2025-11Ultra stableInsufficient sample2
2026-03Ultra stableInsufficient sample2
2026-04Ultra stableInsufficient sample2
2026-05Ultra stableInsufficient sample2
2026-06Ultra stableInsufficient sample2
2026-07Ultra stableInsufficient sample2
2026-08Ultra stableInsufficient sample2
2026-09Ultra stableInsufficient sample2
2026-10Ultra stableInsufficient sample2

4. Predictive profile for Tianjin Jinmen Tiger

ContextObserved measureReading
Home performance1.64 pts/matchHigher observed return
Away performance1.31 pts/matchLower observed return

5. Statistical markers for Tianjin Jinmen Tiger

Team values from Foresportia sources, without a reconstructed league average.

Expected goals created at home0.79
Expected goals conceded at home0.98
Expected goals created away0.96
Expected goals conceded away0.92
Goals scored / match (5)1.20
Goals conceded / match (5)0.40

History: 57 verified matches

6. Market signals for Tianjin Jinmen Tiger

MarketAverage probabilityReliabilityVolumeReading
Double chance 1270.9%75.0%28Major, well-documented signal
Double chance X264.5%63.6%22Recurring signal
Away draw no bet63.3%66.7%9Promising signal, limited sample
Double chance 1X70.9%61.5%26Success below the average probability

7. Model dynamics & analysis

Foresportia Elo trendTracks the team’s relative level as matches are played.
Tianjin Jinmen Tiger
Average model confidenceShows how the model’s average certainty changes across matches.
Tianjin Jinmen Tiger
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

8. Foresportia analysis

For Foresportia, Tianjin Jinmen Tiger 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.

Tianjin Jinmen Tiger is going through a strong control sequence, with 2.60 points per match over the last five matches and an average xG delta of 0.58.

The next detected match is Tianjin Jinmen Tiger vs Shanghai Port on . The leading 1X2 read currently points to “Away win” around 51%.

AI verdictCautious predictive reliability

Correct and above: 50.0% success across 14 verified 1X2 predictions.

Verify the complete history →

Continue exploring

Upcoming matches, competition, other teams and verifiable history.

9. Tianjin Jinmen Tiger FAQ

What is the next match for Tianjin Jinmen Tiger on Foresportia?

This page shows Tianjin Jinmen Tiger's confirmed next match with the enriched prediction probabilities that are currently available.

How should you read Tianjin Jinmen Tiger's ranking and Elo?

This page includes dedicated charts for Tianjin Jinmen Tiger's ranking and Elo trends, with season separators to make the evolution easier to read.

What does the strongest picks block mean for Tianjin Jinmen Tiger?

It highlights the markets that performed best in the available history for Tianjin Jinmen Tiger, together with sample size, hit rate and average probability.

Tianjin Jinmen Tiger: AI analysis, predictions and Foresportia signals

For Foresportia, Tianjin Jinmen Tiger 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.

Tianjin Jinmen Tiger is going through a strong control sequence, with 2.60 points per match over the last five matches and an average xG delta of 0.58.

The next detected match is Tianjin Jinmen Tiger vs Shanghai Port on . The leading 1X2 read currently points to “Away win” around 51%.