Foresportia Elo
1424Bundesliga rank : 18th
Borussia Mönchengladbach
Foresportia analyses Borussia Mönchengladbach using its match data and proprietary models: Elo level, recent form, probabilities, observed reliability and verifiable market signals.
1X2 entropy
1.55Lower = easier to readPoints volatility
1.17Standard deviation over 5 matchesRecent form
0.80Points per match over 5 matchesModel confidence
49.2%Average over 10 predictionsCurrent analysis: Borussia Mönchengladbach
Borussia Mönchengladbach are going through a difficult run, taking 4 points from the last five recorded matches in Bundesliga. Their defense needs attention: 9 goals conceded against 6 scored. More matches this season are needed to confirm this trend.
Bundesliga · 2026-2027 · 8 matches analyzed
View analyzed match details
| Date | Goals scored | Goals conceded | Points |
|---|---|---|---|
| 1 | 2 | 0 | |
| 1 | 2 | 0 | |
| 3 | 2 | 3 | |
| 0 | 0 | 1 | |
| 1 | 3 | 0 |
1. How Foresportia evaluates Borussia Mönchengladbach
Summary of indicators actually available in Foresportia data.
2. Next match
Borussia MönchengladbachElo : 1410
Borussia DortmundElo : 1704
1X2 probabilities (Foresportia model)
Borussia Mönchengladbach 21%Draw 26%Borussia Dortmund 53%
3. Prediction reliability for Borussia Mönchengladbach
Data updated on 14 November 2026
Reliability trendCumulative monthly history
Insufficient sample| Cumulative monthly history | Profile | Reliability | Volume |
|---|---|---|---|
| 2024-08 | Risk | Insufficient sample | 2 |
| 2024-09 | Risk | Insufficient sample | 5 |
| 2024-10 | Risk | Insufficient sample | 8 |
| 2024-11 | Risk | 72.7% | 11 |
| 2024-12 | Risk | 69.2% | 13 |
| 2025-01 | Risk | 73.3% | 15 |
| 2025-02 | Risk | 63.2% | 19 |
| 2025-03 | Risk | 65.2% | 23 |
| 2025-04 | Risk | 57.7% | 26 |
| 2025-05 | Risk | 53.6% | 28 |
| 2025-08 | Risk | 56.7% | 30 |
| 2025-09 | Risk | 59.4% | 32 |
| 2025-10 | Risk | 58.8% | 34 |
| 2025-11 | Risk | 60.0% | 35 |
| 2025-12 | Risk | 62.2% | 37 |
| 2026-01 | Risk | 62.5% | 40 |
| 2026-02 | Risk | 63.6% | 44 |
| 2026-03 | Risk | 62.2% | 45 |
| 2026-04 | Risk | 59.6% | 47 |
| 2026-05 | Risk | 58.0% | 50 |
| 2026-08 | Risk | 58.8% | 51 |
| 2026-09 | Risk | 60.4% | 53 |
| 2026-10 | Risk | 58.9% | 56 |
| 2026-11 | Risk | 57.9% | 57 |
| 2024-08 | Correct and above | Insufficient sample | 0 |
| 2024-09 | Correct and above | Insufficient sample | 0 |
| 2024-10 | Correct and above | Insufficient sample | 0 |
| 2024-11 | Correct and above | Insufficient sample | 1 |
| 2024-12 | Correct and above | Insufficient sample | 2 |
| 2025-01 | Correct and above | Insufficient sample | 4 |
| 2025-02 | Correct and above | Insufficient sample | 4 |
| 2025-03 | Correct and above | Insufficient sample | 4 |
| 2025-04 | Correct and above | Insufficient sample | 5 |
| 2025-05 | Correct and above | Insufficient sample | 6 |
| 2025-08 | Correct and above | Insufficient sample | 6 |
| 2025-09 | Correct and above | Insufficient sample | 7 |
| 2025-10 | Correct and above | Insufficient sample | 8 |
| 2025-11 | Correct and above | 72.7% | 11 |
| 2025-12 | Correct and above | 75.0% | 12 |
| 2026-01 | Correct and above | 76.9% | 13 |
| 2026-02 | Correct and above | 76.9% | 13 |
| 2026-03 | Correct and above | 80.0% | 15 |
| 2026-04 | Correct and above | 76.5% | 17 |
| 2026-05 | Correct and above | 76.5% | 17 |
| 2026-08 | Correct and above | 76.5% | 17 |
| 2026-09 | Correct and above | 76.5% | 17 |
| 2026-10 | Correct and above | 72.2% | 18 |
| 2026-11 | Correct and above | 72.2% | 18 |
| 2024-08 | Stable and above | Insufficient sample | 0 |
| 2024-09 | Stable and above | Insufficient sample | 0 |
| 2024-10 | Stable and above | Insufficient sample | 0 |
| 2024-11 | Stable and above | Insufficient sample | 0 |
| 2024-12 | Stable and above | Insufficient sample | 0 |
| 2025-01 | Stable and above | Insufficient sample | 0 |
| 2025-02 | Stable and above | Insufficient sample | 0 |
| 2025-03 | Stable and above | Insufficient sample | 0 |
| 2025-04 | Stable and above | Insufficient sample | 0 |
| 2025-05 | Stable and above | Insufficient sample | 1 |
| 2025-08 | Stable and above | Insufficient sample | 1 |
| 2025-09 | Stable and above | Insufficient sample | 1 |
| 2025-10 | Stable and above | Insufficient sample | 2 |
| 2025-11 | Stable and above | Insufficient sample | 3 |
| 2025-12 | Stable and above | Insufficient sample | 4 |
| 2026-01 | Stable and above | Insufficient sample | 4 |
| 2026-02 | Stable and above | Insufficient sample | 4 |
| 2026-03 | Stable and above | Insufficient sample | 5 |
| 2026-04 | Stable and above | Insufficient sample | 5 |
| 2026-05 | Stable and above | Insufficient sample | 5 |
| 2026-08 | Stable and above | Insufficient sample | 5 |
| 2026-09 | Stable and above | Insufficient sample | 5 |
| 2026-10 | Stable and above | Insufficient sample | 5 |
| 2026-11 | Stable and above | Insufficient sample | 5 |
| 2024-08 | Ultra stable | Insufficient sample | 0 |
| 2024-09 | Ultra stable | Insufficient sample | 0 |
| 2024-10 | Ultra stable | Insufficient sample | 0 |
| 2024-11 | Ultra stable | Insufficient sample | 0 |
| 2024-12 | Ultra stable | Insufficient sample | 0 |
| 2025-01 | Ultra stable | Insufficient sample | 0 |
| 2025-02 | Ultra stable | Insufficient sample | 0 |
| 2025-03 | Ultra stable | Insufficient sample | 0 |
| 2025-04 | Ultra stable | Insufficient sample | 0 |
| 2025-05 | Ultra stable | Insufficient sample | 1 |
| 2025-08 | Ultra stable | Insufficient sample | 1 |
| 2025-09 | Ultra stable | Insufficient sample | 1 |
| 2025-10 | Ultra stable | Insufficient sample | 2 |
| 2025-11 | Ultra stable | Insufficient sample | 3 |
| 2025-12 | Ultra stable | Insufficient sample | 3 |
| 2026-01 | Ultra stable | Insufficient sample | 3 |
| 2026-02 | Ultra stable | Insufficient sample | 3 |
| 2026-03 | Ultra stable | Insufficient sample | 4 |
| 2026-04 | Ultra stable | Insufficient sample | 4 |
| 2026-05 | Ultra stable | Insufficient sample | 4 |
| 2026-08 | Ultra stable | Insufficient sample | 4 |
| 2026-09 | Ultra stable | Insufficient sample | 4 |
| 2026-10 | Ultra stable | Insufficient sample | 4 |
| 2026-11 | Ultra stable | Insufficient sample | 4 |
4. Predictive profile for Borussia Mönchengladbach
ContextObserved measureReading
Home performance1.32 pts/matchHigher observed return
Away performance0.97 pts/matchLower observed return
5. Statistical markers for Borussia Mönchengladbach
Team values from Foresportia sources, without a reconstructed league average.
History: 75 verified matches
6. Market signals for Borussia Mönchengladbach
MarketAverage probabilityReliabilityVolumeReading
Double chance 1X70.2%81.8%22Major, well-documented signal
Double chance 1272.7%70.8%24Robust signal
Over 2.558.8%70.6%17Success above the average probability
Home draw no bet63.1%62.5%16Recurring signal
Under 2.561.7%57.1%7Promising signal, limited sample
7. Model dynamics & analysis
Foresportia Elo trendTracks the team’s relative level as matches are played.
Borussia Mönchengladbach
Average model confidenceShows how the model’s average certainty changes across matches.
Borussia Mönchengladbach
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.
Borussia Mönchengladbach
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.
Borussia Mönchengladbach
8. Foresportia analysis
For Foresportia, Borussia Mönchengladbach still requires a more cautious read tied to recent form and match context. This page also tracks ranking, Elo evolution, goal trends and the market signals Foresportia finds most useful.
Borussia Mönchengladbach still needs to be read through recent form, Elo and its advanced production indicators.
The next detected match is Borussia Mönchengladbach vs Borussia Dortmund on . The leading 1X2 read currently points to “Away win” around 53%.
AI verdictStrong predictive reliability
Correct and above: 72.2% success across 18 verified 1X2 predictions.
Verify the complete history →Continue exploring
Upcoming matches, competition, other teams and verifiable history.
9. Borussia Mönchengladbach FAQ
What is the next match for Borussia Mönchengladbach on Foresportia?
This page shows Borussia Mönchengladbach's confirmed next match with the enriched prediction probabilities that are currently available.
How should you read Borussia Mönchengladbach's ranking and Elo?
This page includes dedicated charts for Borussia Mönchengladbach's ranking and Elo trends, with season separators to make the evolution easier to read.
What does the strongest picks block mean for Borussia Mönchengladbach?
It highlights the markets that performed best in the available history for Borussia Mönchengladbach, together with sample size, hit rate and average probability.
Borussia Mönchengladbach: AI analysis, predictions and Foresportia signals
For Foresportia, Borussia Mönchengladbach still requires a more cautious read tied to recent form and match context. This page also tracks ranking, Elo evolution, goal trends and the market signals Foresportia finds most useful.
Borussia Mönchengladbach still needs to be read through recent form, Elo and its advanced production indicators.
The next detected match is Borussia Mönchengladbach vs Borussia Dortmund on . The leading 1X2 read currently points to “Away win” around 53%.