Logo Standard de Liège

Standard de Liège

BelgiumJupiler Pro League2026-2027

Foresportia analyses Standard de Liège using its match data and proprietary models: Elo level, recent form, probabilities, observed reliability and verifiable market signals.

Foresportia Elo
1561Jupiler Pro League rank : 6th
1X2 entropy
1.57Lower = easier to read
Points volatility
0.98Standard deviation over 5 matches
Recent form
2.20Points per match over 5 matches
Model confidence
40.8%Average over 10 predictions

1. How Foresportia evaluates Standard de Liège

Summary of indicators actually available in Foresportia data.

1561Foresportia EloJupiler Pro League rank : 6th
1.571X2 entropyLower = easier to read
0.98Points volatilityStandard deviation over 5 matches
2.20Recent formpoints / match
40.8%Model confidenceAverage over 10 predictions

2. Next match

Jupiler Pro League

KVC WesterloElo : 1486
VS
Standard de LiègeElo : 1571
1X2 probabilities (Foresportia model)
34%30%36%
KVC Westerlo 34%Draw 30%Standard de Liège 36%
Main signalAway win · 36%
Model confidence39.4%
StabilityRisk
View match details

3. Prediction reliability for Standard de Liège

Data updated on 06 September 2026

Reliability trendCumulative monthly history
Insufficient sample
Cumulative monthly historyProfileReliabilityVolume
2024-07RiskInsufficient sample1
2024-08RiskInsufficient sample5
2024-09RiskInsufficient sample8
2024-10Risk40.0%10
2024-11Risk46.2%13
2024-12Risk47.1%17
2025-01Risk50.0%20
2025-02Risk52.2%23
2025-03Risk56.0%25
2025-07Risk53.8%26
2025-08Risk53.3%30
2025-09Risk51.5%33
2025-10Risk52.8%36
2025-11Risk51.3%39
2025-12Risk51.2%43
2026-01Risk53.3%45
2026-02Risk51.0%49
2026-03Risk48.1%52
2026-04Risk49.1%57
2026-05Risk48.4%62
2026-08Risk48.5%66
2026-09Risk49.3%67
2024-07Correct and aboveInsufficient sample0
2024-08Correct and aboveInsufficient sample1
2024-09Correct and aboveInsufficient sample1
2024-10Correct and aboveInsufficient sample2
2024-11Correct and aboveInsufficient sample3
2024-12Correct and aboveInsufficient sample3
2025-01Correct and aboveInsufficient sample3
2025-02Correct and aboveInsufficient sample4
2025-03Correct and aboveInsufficient sample5
2025-07Correct and aboveInsufficient sample5
2025-08Correct and aboveInsufficient sample6
2025-09Correct and aboveInsufficient sample6
2025-10Correct and aboveInsufficient sample7
2025-11Correct and aboveInsufficient sample7
2025-12Correct and aboveInsufficient sample7
2026-01Correct and aboveInsufficient sample7
2026-02Correct and aboveInsufficient sample8
2026-03Correct and aboveInsufficient sample8
2026-04Correct and aboveInsufficient sample8
2026-05Correct and aboveInsufficient sample8
2026-08Correct and aboveInsufficient sample8
2026-09Correct and aboveInsufficient sample8
2024-07Stable and aboveInsufficient sample0
2024-08Stable and aboveInsufficient sample0
2024-09Stable and aboveInsufficient sample0
2024-10Stable and aboveInsufficient sample1
2024-11Stable and aboveInsufficient sample2
2024-12Stable and aboveInsufficient sample2
2025-01Stable and aboveInsufficient sample2
2025-02Stable and aboveInsufficient sample2
2025-03Stable and aboveInsufficient sample2
2025-07Stable and aboveInsufficient sample2
2025-08Stable and aboveInsufficient sample3
2025-09Stable and aboveInsufficient sample3
2025-10Stable and aboveInsufficient sample4
2025-11Stable and aboveInsufficient sample4
2025-12Stable and aboveInsufficient sample4
2026-01Stable and aboveInsufficient sample4
2026-02Stable and aboveInsufficient sample4
2026-03Stable and aboveInsufficient sample4
2026-04Stable and aboveInsufficient sample4
2026-05Stable and aboveInsufficient sample4
2026-08Stable and aboveInsufficient sample4
2026-09Stable and aboveInsufficient sample4
2024-07Ultra stableInsufficient sample0
2024-08Ultra stableInsufficient sample0
2024-09Ultra stableInsufficient sample0
2024-10Ultra stableInsufficient sample0
2024-11Ultra stableInsufficient sample0
2024-12Ultra stableInsufficient sample0
2025-01Ultra stableInsufficient sample0
2025-02Ultra stableInsufficient sample0
2025-03Ultra stableInsufficient sample0
2025-07Ultra stableInsufficient sample0
2025-08Ultra stableInsufficient sample0
2025-09Ultra stableInsufficient sample0
2025-10Ultra stableInsufficient sample0
2025-11Ultra stableInsufficient sample0
2025-12Ultra stableInsufficient sample0
2026-01Ultra stableInsufficient sample0
2026-02Ultra stableInsufficient sample0
2026-03Ultra stableInsufficient sample0
2026-04Ultra stableInsufficient sample0
2026-05Ultra stableInsufficient sample0
2026-08Ultra stableInsufficient sample0
2026-09Ultra stableInsufficient sample0

4. Predictive profile for Standard de Liège

ContextObserved measureReading
Home performance1.42 pts/matchComparable return
Away performance1.43 pts/matchComparable return

5. Statistical markers for Standard de Liège

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

Expected goals created at home0.74
Expected goals conceded at home0.74
Expected goals created away0.92
Expected goals conceded away0.88
Goals scored / match (5)2.00
Goals conceded / match (5)1.20

History: 75 verified matches

6. Market signals for Standard de Liège

MarketAverage probabilityReliabilityVolumeReading
Double chance X264.8%81.0%21Major, well-documented signal
Double chance 1268.1%65.2%23Confirmed signal
Both teams to score52.3%62.5%8Promising signal, limited sample
Away draw no bet55.9%55.6%9Promising signal, limited sample

7. Model dynamics & analysis

Foresportia Elo trendTracks the team’s relative level as matches are played.
Standard de Liège
Average model confidenceShows how the model’s average certainty changes across matches.
Standard de Liège
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, Standard de Liège 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.

Standard de Liège is going through a strong control sequence, with 2.20 points per match over the last five matches and an average xG delta of 0.74.

The next detected match is KVC Westerlo vs Standard de Liège on . The leading 1X2 read currently points to “Away win” around 36%.

Continue exploring

Upcoming matches, competition, other teams and verifiable history.

9. Standard de Liège FAQ

What is the next match for Standard de Liège on Foresportia?

This page shows Standard de Liège's confirmed next match with the enriched prediction probabilities that are currently available.

How should you read Standard de Liège's ranking and Elo?

This page includes dedicated charts for Standard de Liège's ranking and Elo trends, with season separators to make the evolution easier to read.

What does the strongest picks block mean for Standard de Liège?

It highlights the markets that performed best in the available history for Standard de Liège, together with sample size, hit rate and average probability.

Standard de Liège: AI analysis, predictions and Foresportia signals

For Foresportia, Standard de Liège 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.

Standard de Liège is going through a strong control sequence, with 2.20 points per match over the last five matches and an average xG delta of 0.74.

The next detected match is KVC Westerlo vs Standard de Liège on . The leading 1X2 read currently points to “Away win” around 36%.