Foresportia Elo
1553Eliteserien rank : 7th
SK Brann
Foresportia analyses SK Brann using its match data and proprietary models: Elo level, recent form, probabilities, observed reliability and verifiable market signals.
1X2 entropy
1.50Lower = easier to readPoints volatility
1.20Standard deviation over 5 matchesRecent form
0.60Points per match over 5 matchesModel confidence
56.3%Average over 10 predictionsCurrent analysis: SK Brann
SK Brann are going through a difficult run, taking 3 points from the last five recorded matches in Eliteserien. The team are struggling to score and their defense needs attention: 4 goals scored and 10 conceded.
Eliteserien · 2026 · 23 matches analyzed
View analyzed match details
| Date | Goals scored | Goals conceded | Points |
|---|---|---|---|
| 1 | 2 | 0 | |
| 0 | 2 | 0 | |
| 2 | 1 | 3 | |
| 0 | 2 | 0 | |
| 1 | 3 | 0 |
1. How Foresportia evaluates SK Brann
Summary of indicators actually available in Foresportia data.
2. Next match
Kauno ŽalgirisElo : Not available
BrannElo : Not available
3. Prediction reliability for SK Brann
Data updated on 19 October 2026
Reliability trendCumulative monthly history
Insufficient sample| Cumulative monthly history | Profile | Reliability | Volume |
|---|---|---|---|
| 2025-03 | Risk | Insufficient sample | 1 |
| 2025-04 | Risk | Insufficient sample | 5 |
| 2025-05 | Risk | Insufficient sample | 9 |
| 2025-06 | Risk | 80.0% | 10 |
| 2025-07 | Risk | 69.2% | 13 |
| 2025-08 | Risk | 73.3% | 15 |
| 2025-09 | Risk | 77.8% | 18 |
| 2025-10 | Risk | 81.0% | 21 |
| 2025-11 | Risk | 78.3% | 23 |
| 2026-03 | Risk | 72.0% | 25 |
| 2026-04 | Risk | 63.3% | 30 |
| 2026-05 | Risk | 62.5% | 32 |
| 2026-07 | Risk | 58.8% | 34 |
| 2026-08 | Risk | 59.5% | 37 |
| 2026-09 | Risk | 56.4% | 39 |
| 2026-10 | Risk | 56.1% | 41 |
| 2025-03 | Correct and above | Insufficient sample | 0 |
| 2025-04 | Correct and above | Insufficient sample | 0 |
| 2025-05 | Correct and above | Insufficient sample | 1 |
| 2025-06 | Correct and above | Insufficient sample | 3 |
| 2025-07 | Correct and above | Insufficient sample | 3 |
| 2025-08 | Correct and above | Insufficient sample | 4 |
| 2025-09 | Correct and above | Insufficient sample | 4 |
| 2025-10 | Correct and above | Insufficient sample | 5 |
| 2025-11 | Correct and above | Insufficient sample | 7 |
| 2026-03 | Correct and above | Insufficient sample | 7 |
| 2026-04 | Correct and above | Insufficient sample | 7 |
| 2026-05 | Correct and above | 80.0% | 10 |
| 2026-07 | Correct and above | 81.8% | 11 |
| 2026-08 | Correct and above | 81.8% | 11 |
| 2026-09 | Correct and above | 75.0% | 12 |
| 2026-10 | Correct and above | 75.0% | 12 |
| 2025-03 | Stable and above | Insufficient sample | 0 |
| 2025-04 | Stable and above | Insufficient sample | 0 |
| 2025-05 | Stable and above | Insufficient sample | 0 |
| 2025-06 | Stable and above | Insufficient sample | 1 |
| 2025-07 | 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 | 4 |
| 2026-03 | Stable and above | Insufficient sample | 4 |
| 2026-04 | Stable and above | Insufficient sample | 4 |
| 2026-05 | Stable and above | Insufficient sample | 6 |
| 2026-07 | Stable and above | Insufficient sample | 7 |
| 2026-08 | Stable and above | Insufficient sample | 7 |
| 2026-09 | Stable and above | Insufficient sample | 7 |
| 2026-10 | Stable and above | Insufficient sample | 7 |
| 2025-03 | Ultra stable | Insufficient sample | 0 |
| 2025-04 | Ultra stable | Insufficient sample | 0 |
| 2025-05 | Ultra stable | Insufficient sample | 0 |
| 2025-06 | Ultra stable | 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 | 1 |
| 2025-11 | Ultra stable | Insufficient sample | 1 |
| 2026-03 | Ultra stable | Insufficient sample | 1 |
| 2026-04 | Ultra stable | Insufficient sample | 1 |
| 2026-05 | Ultra stable | Insufficient sample | 1 |
| 2026-07 | Ultra stable | Insufficient sample | 1 |
| 2026-08 | Ultra stable | Insufficient sample | 1 |
| 2026-09 | Ultra stable | Insufficient sample | 1 |
| 2026-10 | Ultra stable | Insufficient sample | 1 |
4. Predictive profile for SK Brann
ContextObserved measureReading
Home performance1.89 pts/matchHigher observed return
Away performance1.31 pts/matchLower observed return
5. Statistical markers for SK Brann
Team values from Foresportia sources, without a reconstructed league average.
History: 53 verified matches
6. Market signals for SK Brann
MarketAverage probabilityReliabilityVolumeReading
Double chance 1274.8%91.7%24Major, well-documented signal
Over 2.556.6%78.3%23Major, well-documented signal
Both teams to score57.4%73.9%23Success above the average probability
Home win57.5%60.0%10Recurring signal
Double chance 1X74.1%55.0%20Success below the average probability
7. Model dynamics & analysis
Foresportia Elo trendTracks the team’s relative level as matches are played.
SK Brann
Average model confidenceShows how the model’s average certainty changes across matches.
SK Brann
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.
SK Brann
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.
SK Brann
8. Foresportia analysis
For Foresportia, SK Brann mainly draws value from its home edge. This page also tracks ranking, Elo evolution, goal trends and the market signals Foresportia finds most useful.
SK Brann still needs to be read through recent form, Elo and its advanced production indicators.
The next confirmed match is Kauno Žalgiris vs Brann on . Probabilities will appear when an enriched prediction is available.
AI verdictHigh predictive reliability
Correct and above: 75.0% success across 12 verified 1X2 predictions.
Verify the complete history →Continue exploring
Upcoming matches, competition, other teams and verifiable history.
9. SK Brann FAQ
What is the next match for SK Brann on Foresportia?
This page shows SK Brann's confirmed next match. The enriched prediction and its probabilities are not available yet.
How should you read SK Brann's ranking and Elo?
This page includes dedicated charts for SK Brann's ranking and Elo trends, with season separators to make the evolution easier to read.
What does the strongest picks block mean for SK Brann?
It highlights the markets that performed best in the available history for SK Brann, together with sample size, hit rate and average probability.
SK Brann: AI analysis, predictions and Foresportia signals
For Foresportia, SK Brann mainly draws value from its home edge. This page also tracks ranking, Elo evolution, goal trends and the market signals Foresportia finds most useful.
SK Brann still needs to be read through recent form, Elo and its advanced production indicators.
The next confirmed match is Kauno Žalgiris vs Brann on . Probabilities will appear when an enriched prediction is available.