Foresportia Elo
1476Superligaen rank : 8th
Silkeborg IF
Foresportia analyses Silkeborg IF 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
0.98Standard deviation over 5 matchesRecent form
1.20Points per match over 5 matchesModel confidence
51.4%Average over 10 predictionsCurrent analysis: Silkeborg IF
The goal tally for Silkeborg IF is level across the last five recorded matches in Superligaen: 10 scored and the same number conceded. The team have taken 6 points from a possible 15 over these matches. More matches this season are needed to confirm this trend.
Superligaen · 2026-2027 · 11 matches analyzed
View analyzed match details
| Date | Goals scored | Goals conceded | Points |
|---|---|---|---|
| 2 | 2 | 1 | |
| 1 | 1 | 1 | |
| 4 | 0 | 3 | |
| 3 | 3 | 1 | |
| 0 | 4 | 0 |
1. How Foresportia evaluates Silkeborg IF
Summary of indicators actually available in Foresportia data.
2. Next match
Silkeborg IFElo : 1447
FC NordsjaellandElo : 1582
1X2 probabilities (Foresportia model)
Silkeborg IF 33%Draw 28%FC Nordsjaelland 39%
3. Prediction reliability for Silkeborg IF
Data updated on 20 October 2026
Reliability trendCumulative monthly history
Insufficient sample| Cumulative monthly history | Profile | Reliability | Volume |
|---|---|---|---|
| 2025-07 | Risk | Insufficient sample | 2 |
| 2025-08 | Risk | Insufficient sample | 7 |
| 2025-09 | Risk | 40.0% | 10 |
| 2025-10 | Risk | 46.2% | 13 |
| 2025-11 | Risk | 47.1% | 17 |
| 2025-12 | Risk | 50.0% | 18 |
| 2026-02 | Risk | 55.0% | 20 |
| 2026-03 | Risk | 47.8% | 23 |
| 2026-04 | Risk | 48.1% | 27 |
| 2026-05 | Risk | 46.7% | 30 |
| 2026-07 | Risk | 45.2% | 31 |
| 2026-08 | Risk | 50.0% | 36 |
| 2026-09 | Risk | 48.7% | 39 |
| 2026-10 | Risk | 46.3% | 41 |
| 2025-07 | Correct and above | Insufficient sample | 0 |
| 2025-08 | Correct and above | Insufficient sample | 0 |
| 2025-09 | Correct and above | Insufficient sample | 0 |
| 2025-10 | Correct and above | Insufficient sample | 0 |
| 2025-11 | Correct and above | Insufficient sample | 0 |
| 2025-12 | Correct and above | Insufficient sample | 0 |
| 2026-02 | Correct and above | Insufficient sample | 1 |
| 2026-03 | Correct and above | Insufficient sample | 1 |
| 2026-04 | Correct and above | Insufficient sample | 2 |
| 2026-05 | Correct and above | Insufficient sample | 2 |
| 2026-07 | Correct and above | Insufficient sample | 2 |
| 2026-08 | Correct and above | Insufficient sample | 2 |
| 2026-09 | Correct and above | Insufficient sample | 2 |
| 2026-10 | Correct and above | Insufficient sample | 2 |
| 2025-07 | Stable and above | Insufficient sample | 0 |
| 2025-08 | Stable and above | Insufficient sample | 0 |
| 2025-09 | Stable and above | Insufficient sample | 0 |
| 2025-10 | Stable and above | Insufficient sample | 0 |
| 2025-11 | Stable and above | Insufficient sample | 0 |
| 2025-12 | Stable and above | Insufficient sample | 0 |
| 2026-02 | Stable and above | Insufficient sample | 0 |
| 2026-03 | Stable and above | Insufficient sample | 0 |
| 2026-04 | Stable and above | Insufficient sample | 0 |
| 2026-05 | Stable and above | Insufficient sample | 0 |
| 2026-07 | Stable and above | Insufficient sample | 0 |
| 2026-08 | Stable and above | Insufficient sample | 0 |
| 2026-09 | Stable and above | Insufficient sample | 0 |
| 2026-10 | Stable and above | Insufficient sample | 0 |
| 2025-07 | Ultra stable | Insufficient sample | 0 |
| 2025-08 | Ultra stable | Insufficient sample | 0 |
| 2025-09 | Ultra stable | Insufficient sample | 0 |
| 2025-10 | Ultra stable | Insufficient sample | 0 |
| 2025-11 | Ultra stable | Insufficient sample | 0 |
| 2025-12 | Ultra stable | Insufficient sample | 0 |
| 2026-02 | Ultra stable | Insufficient sample | 0 |
| 2026-03 | Ultra stable | Insufficient sample | 0 |
| 2026-04 | Ultra stable | Insufficient sample | 0 |
| 2026-05 | Ultra stable | Insufficient sample | 0 |
| 2026-07 | Ultra stable | Insufficient sample | 0 |
| 2026-08 | Ultra stable | Insufficient sample | 0 |
| 2026-09 | Ultra stable | Insufficient sample | 0 |
| 2026-10 | Ultra stable | Insufficient sample | 0 |
4. Predictive profile for Silkeborg IF
ContextObserved measureReading
Home performance1.19 pts/matchHigher observed return
Away performance1.00 pts/matchLower observed return
5. Statistical markers for Silkeborg IF
Team values from Foresportia sources, without a reconstructed league average.
History: 43 verified matches
6. Market signals for Silkeborg IF
MarketAverage probabilityReliabilityVolumeReading
Double chance 1275.4%72.0%25Robust signal
Double chance 1X65.3%72.7%22Robust signal
Over 2.558.6%68.4%19Success above the average probability
Both teams to score59.9%65.0%20Confirmed signal
Double chance X263.4%63.6%22Recurring signal
7. Model dynamics & analysis
Foresportia Elo trendTracks the team’s relative level as matches are played.
Silkeborg IF
Average model confidenceShows how the model’s average certainty changes across matches.
Silkeborg IF
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.
Silkeborg IF
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.
Silkeborg IF
8. Foresportia analysis
For Foresportia, Silkeborg IF mainly shows a more productive attacking profile. This page also tracks ranking, Elo evolution, goal trends and the market signals Foresportia finds most useful.
Silkeborg IF shows a stronger attacking profile, scoring 2.00 goals per match recently.
The next detected match is Silkeborg IF vs FC Nordsjaelland on . The leading 1X2 read currently points to “Away win” around 39%.
Continue exploring
Upcoming matches, competition, other teams and verifiable history.
9. Silkeborg IF FAQ
What is the next match for Silkeborg IF on Foresportia?
This page shows Silkeborg IF's confirmed next match with the enriched prediction probabilities that are currently available.
How should you read Silkeborg IF's ranking and Elo?
This page includes dedicated charts for Silkeborg IF's ranking and Elo trends, with season separators to make the evolution easier to read.
What does the strongest picks block mean for Silkeborg IF?
It highlights the markets that performed best in the available history for Silkeborg IF, together with sample size, hit rate and average probability.
Silkeborg IF: AI analysis, predictions and Foresportia signals
For Foresportia, Silkeborg IF mainly shows a more productive attacking profile. This page also tracks ranking, Elo evolution, goal trends and the market signals Foresportia finds most useful.
Silkeborg IF shows a stronger attacking profile, scoring 2.00 goals per match recently.
The next detected match is Silkeborg IF vs FC Nordsjaelland on . The leading 1X2 read currently points to “Away win” around 39%.