Logo Union Saint-Gilloise

Union Saint-Gilloise

BelgiumJupiler Pro League2026-2027

Foresportia analyses Union Saint-Gilloise using its match data and proprietary models: Elo level, recent form, probabilities, observed reliability and verifiable market signals.

Foresportia Elo
1706Jupiler Pro League rank : 6th
1X2 entropy
1.45Lower = easier to read
Points volatility
0.98Standard deviation over 5 matches
Recent form
2.20Points per match over 5 matches
Model confidence
51.2%Average over 10 predictions

1. How Foresportia evaluates Union Saint-Gilloise

Summary of indicators actually available in Foresportia data.

1706Foresportia EloJupiler Pro League rank : 6th
1.451X2 entropyLower = easier to read
0.98Points volatilityStandard deviation over 5 matches
2.20Recent formpoints / match
51.2%Model confidenceAverage over 10 predictions

2. Next match

Jupiler Pro League

K. Saint-Trond VVElo : 1606
VS
Union Saint-GilloiseElo : 1716
1X2 probabilities (Foresportia model)
21%28%51%
K. Saint-Trond VV 21%Draw 28%Union Saint-Gilloise 51%
Main signalAway win · 51%
Model confidence46.4%
StabilityRisk
View match details →

3. Prediction reliability for Union Saint-Gilloise

Data updated on 01 September 2026

Reliability trendCumulative monthly history
92.9%
Cumulative monthly historyProfileReliabilityVolume
2024-07RiskInsufficient sample1
2024-08RiskInsufficient sample4
2024-09RiskInsufficient sample7
2024-10Risk20.0%10
2024-11Risk16.7%12
2024-12Risk20.0%15
2025-01Risk20.0%15
2025-02Risk23.5%17
2025-03Risk22.2%18
2025-07Risk21.1%19
2025-08Risk27.3%22
2025-09Risk33.3%24
2025-10Risk32.0%25
2025-11Risk30.8%26
2025-12Risk29.6%27
2026-01Risk31.0%29
2026-02Risk31.2%32
2026-03Risk34.3%35
2026-04Risk39.5%38
2026-05Risk40.5%42
2026-08Risk43.2%44
2024-07Correct and aboveInsufficient sample0
2024-08Correct and aboveInsufficient sample1
2024-09Correct and aboveInsufficient sample2
2024-10Correct and aboveInsufficient sample2
2024-11Correct and aboveInsufficient sample3
2024-12Correct and aboveInsufficient sample5
2025-01Correct and aboveInsufficient sample8
2025-02Correct and above80.0%10
2025-03Correct and above83.3%12
2025-07Correct and above83.3%12
2025-08Correct and above85.7%14
2025-09Correct and above86.7%15
2025-10Correct and above88.2%17
2025-11Correct and above85.0%20
2025-12Correct and above78.3%23
2026-01Correct and above78.3%23
2026-02Correct and above79.2%24
2026-03Correct and above80.0%25
2026-04Correct and above77.8%27
2026-05Correct and above78.6%28
2026-08Correct and above75.9%29
2024-07Stable and aboveInsufficient sample0
2024-08Stable and aboveInsufficient sample1
2024-09Stable and aboveInsufficient sample2
2024-10Stable and aboveInsufficient sample2
2024-11Stable and aboveInsufficient sample2
2024-12Stable and aboveInsufficient sample2
2025-01Stable and aboveInsufficient sample3
2025-02Stable and aboveInsufficient sample4
2025-03Stable and aboveInsufficient sample4
2025-07Stable and aboveInsufficient sample4
2025-08Stable and aboveInsufficient sample6
2025-09Stable and aboveInsufficient sample6
2025-10Stable and aboveInsufficient sample7
2025-11Stable and aboveInsufficient sample9
2025-12Stable and above100.0%10
2026-01Stable and above100.0%10
2026-02Stable and above100.0%10
2026-03Stable and above100.0%11
2026-04Stable and above100.0%12
2026-05Stable and above100.0%13
2026-08Stable and above92.9%14
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 sample1
2025-02Ultra stableInsufficient sample2
2025-03Ultra stableInsufficient sample2
2025-07Ultra stableInsufficient sample2
2025-08Ultra stableInsufficient sample3
2025-09Ultra stableInsufficient sample3
2025-10Ultra stableInsufficient sample3
2025-11Ultra stableInsufficient sample4
2025-12Ultra stableInsufficient sample4
2026-01Ultra stableInsufficient sample4
2026-02Ultra stableInsufficient sample4
2026-03Ultra stableInsufficient sample5
2026-04Ultra stableInsufficient sample5
2026-05Ultra stableInsufficient sample5
2026-08Ultra stableInsufficient sample5

4. Predictive profile for Union Saint-Gilloise

ContextObserved measureReading
Home performance2.51 pts/matchHigher observed return
Away performance1.53 pts/matchLower observed return

5. Statistical markers for Union Saint-Gilloise

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

Expected goals created at home1.31
Expected goals conceded at home0.56
Expected goals created away1.36
Expected goals conceded away0.56
Goals scored / match (5)2.60
Goals conceded / match (5)0.40

History: 73 verified matches

6. Market signals for Union Saint-Gilloise

MarketAverage probabilityReliabilityVolumeReading
Double chance 1X76.0%87.5%16Major, well-documented signal
Home draw no bet75.3%83.3%12Success above the average probability
Double chance 1272.5%76.2%21Major, well-documented signal
Home win60.7%77.8%9Promising signal, limited sample
Double chance X272.9%58.3%12Success below the average probability

7. Model dynamics & analysis

Foresportia Elo trendTracks the team’s relative level as matches are played.
Union Saint-Gilloise
Average model confidenceShows how the model’s average certainty changes across matches.
Union Saint-Gilloise
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, Union Saint-Gilloise 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.

Union Saint-Gilloise is going through a strong control sequence, with 2.20 points per match over the last five matches and an average xG delta of 1.22.

The next detected match is K. Saint-Trond VV vs Union Saint-Gilloise on . The leading 1X2 read currently points to “Away win” around 51%.

AI verdictHigh predictive reliability

Stable and above: 92.9% success across 14 verified 1X2 predictions.

Verify the complete history →

Continue exploring

Upcoming matches, competition, other teams and verifiable history.

View upcoming matchesBrowse upcoming fixtures and AI analysis.→Explore Jupiler Pro LeagueLeague calendar, standings and predictions.→Explore teamsBrowse analysis and profiles for other clubs.→Verify our performanceReview Foresportia’s verifiable prediction history.→

9. Union Saint-Gilloise FAQ

What is the next match for Union Saint-Gilloise on Foresportia?

This page shows Union Saint-Gilloise's confirmed next match with the enriched prediction probabilities that are currently available.

How should you read Union Saint-Gilloise's ranking and Elo?

This page includes dedicated charts for Union Saint-Gilloise's ranking and Elo trends, with season separators to make the evolution easier to read.

What does the strongest picks block mean for Union Saint-Gilloise?

It highlights the markets that performed best in the available history for Union Saint-Gilloise, together with sample size, hit rate and average probability.

Union Saint-Gilloise: AI analysis, predictions and Foresportia signals

For Foresportia, Union Saint-Gilloise 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.

Union Saint-Gilloise is going through a strong control sequence, with 2.20 points per match over the last five matches and an average xG delta of 1.22.

The next detected match is K. Saint-Trond VV vs Union Saint-Gilloise on . The leading 1X2 read currently points to “Away win” around 51%.