Foresportia Elo
1588Bundesliga 2 rank : 2nd
1.FC Nürnberg
Foresportia analyses 1.FC Nürnberg using its match data and proprietary models: Elo level, recent form, probabilities, observed reliability and verifiable market signals.
1X2 entropy
1.57Lower = easier to readPoints volatility
0.98Standard deviation over 5 matchesRecent form
2.20Points per match over 5 matchesModel confidence
45.1%Average over 10 predictionsCurrent analysis: 1.FC Nürnberg
1.FC Nürnberg are scoring freely, but their defense is vulnerable: 13 goals scored and 8 conceded across the last five recorded matches in Bundesliga 2. Results have been positive over these matches, with 11 points taken from a possible 15. More matches this season are needed to confirm this trend.
Bundesliga 2 · 2026-2027 · 7 matches analyzed
View analyzed match details
| Date | Goals scored | Goals conceded | Points |
|---|---|---|---|
| 4 | 1 | 3 | |
| 2 | 2 | 1 | |
| 2 | 1 | 3 | |
| 1 | 0 | 3 | |
| 4 | 4 | 1 |
1. How Foresportia evaluates 1.FC Nürnberg
Summary of indicators actually available in Foresportia data.
2. Next match
1.FC NürnbergElo : 1580
1.FC KaiserslauternElo : 1518
1X2 probabilities (Foresportia model)
1.FC Nürnberg 40%Draw 30%1.FC Kaiserslautern 30%
3. Prediction reliability for 1.FC Nürnberg
Data updated on 20 October 2026
Reliability trendCumulative monthly history
Insufficient sample| Cumulative monthly history | Profile | Reliability | Volume |
|---|---|---|---|
| 2024-08 | Risk | Insufficient sample | 4 |
| 2024-09 | Risk | Insufficient sample | 7 |
| 2024-10 | Risk | 50.0% | 10 |
| 2024-11 | Risk | 50.0% | 12 |
| 2024-12 | Risk | 50.0% | 14 |
| 2025-01 | Risk | 47.1% | 17 |
| 2025-02 | Risk | 50.0% | 20 |
| 2025-03 | Risk | 54.2% | 24 |
| 2025-04 | Risk | 53.6% | 28 |
| 2025-05 | Risk | 58.1% | 31 |
| 2025-08 | Risk | 57.1% | 35 |
| 2025-09 | Risk | 56.8% | 37 |
| 2025-10 | Risk | 53.8% | 39 |
| 2025-11 | Risk | 58.1% | 43 |
| 2025-12 | Risk | 55.6% | 45 |
| 2026-01 | Risk | 53.2% | 47 |
| 2026-02 | Risk | 53.1% | 49 |
| 2026-03 | Risk | 54.7% | 53 |
| 2026-04 | Risk | 52.6% | 57 |
| 2026-05 | Risk | 50.0% | 60 |
| 2026-08 | Risk | 50.8% | 63 |
| 2026-09 | Risk | 51.5% | 66 |
| 2026-10 | Risk | 50.7% | 67 |
| 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 | 3 |
| 2025-01 | Correct and above | Insufficient sample | 3 |
| 2025-02 | Correct and above | Insufficient sample | 3 |
| 2025-03 | Correct and above | Insufficient sample | 3 |
| 2025-04 | Correct and above | Insufficient sample | 3 |
| 2025-05 | Correct and above | Insufficient sample | 3 |
| 2025-08 | Correct and above | Insufficient sample | 3 |
| 2025-09 | Correct and above | Insufficient sample | 4 |
| 2025-10 | Correct and above | Insufficient sample | 5 |
| 2025-11 | Correct and above | Insufficient sample | 5 |
| 2025-12 | Correct and above | Insufficient sample | 6 |
| 2026-01 | Correct and above | Insufficient sample | 7 |
| 2026-02 | Correct and above | Insufficient sample | 8 |
| 2026-03 | Correct and above | Insufficient sample | 8 |
| 2026-04 | Correct and above | Insufficient sample | 8 |
| 2026-05 | Correct and above | Insufficient sample | 8 |
| 2026-08 | Correct and above | Insufficient sample | 8 |
| 2026-09 | Correct and above | Insufficient sample | 8 |
| 2026-10 | Correct and above | Insufficient sample | 8 |
| 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 | 0 |
| 2025-08 | Stable and above | Insufficient sample | 0 |
| 2025-09 | Stable and above | Insufficient sample | 0 |
| 2025-10 | Stable and above | Insufficient sample | 1 |
| 2025-11 | Stable and above | Insufficient sample | 1 |
| 2025-12 | Stable and above | Insufficient sample | 1 |
| 2026-01 | Stable and above | Insufficient sample | 1 |
| 2026-02 | Stable and above | Insufficient sample | 1 |
| 2026-03 | Stable and above | Insufficient sample | 1 |
| 2026-04 | Stable and above | Insufficient sample | 1 |
| 2026-05 | Stable and above | Insufficient sample | 1 |
| 2026-08 | Stable and above | Insufficient sample | 1 |
| 2026-09 | Stable and above | Insufficient sample | 1 |
| 2026-10 | Stable and above | Insufficient sample | 1 |
| 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 | 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 |
| 2026-01 | 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 |
| 2026-08 | Ultra stable | Insufficient sample | 0 |
| 2026-09 | Ultra stable | Insufficient sample | 0 |
| 2026-10 | Ultra stable | Insufficient sample | 0 |
4. Predictive profile for 1.FC Nürnberg
ContextObserved measureReading
Home performance1.76 pts/matchHigher observed return
Away performance1.19 pts/matchLower observed return
5. Statistical markers for 1.FC Nürnberg
Team values from Foresportia sources, without a reconstructed league average.
History: 75 verified matches
6. Market signals for 1.FC Nürnberg
MarketAverage probabilityReliabilityVolumeReading
Double chance 1X67.2%78.3%23Major, well-documented signal
Both teams to score60.1%62.5%16Recurring signal
Double chance 1271.6%60.9%23Success below the average probability
Over 2.557.5%60.0%15Recurring signal
Double chance X261.9%59.1%22Recurring signal
7. Model dynamics & analysis
Foresportia Elo trendTracks the team’s relative level as matches are played.
1.FC Nürnberg
Average model confidenceShows how the model’s average certainty changes across matches.
1.FC Nürnberg
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.
1.FC Nürnberg
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.
1.FC Nürnberg
8. Foresportia analysis
For Foresportia, 1.FC Nürnberg 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.
1.FC Nürnberg is going through a strong control sequence, with 2.20 points per match over the last five matches and an average xG delta of 1.03.
The next detected match is 1.FC Nürnberg vs 1.FC Kaiserslautern on . The leading 1X2 read currently points to “Home win” around 40%.
Continue exploring
Upcoming matches, competition, other teams and verifiable history.
9. 1.FC Nürnberg FAQ
What is the next match for 1.FC Nürnberg on Foresportia?
This page shows 1.FC Nürnberg's confirmed next match with the enriched prediction probabilities that are currently available.
How should you read 1.FC Nürnberg's ranking and Elo?
This page includes dedicated charts for 1.FC Nürnberg's ranking and Elo trends, with season separators to make the evolution easier to read.
What does the strongest picks block mean for 1.FC Nürnberg?
It highlights the markets that performed best in the available history for 1.FC Nürnberg, together with sample size, hit rate and average probability.
1.FC Nürnberg: AI analysis, predictions and Foresportia signals
For Foresportia, 1.FC Nürnberg 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.
1.FC Nürnberg is going through a strong control sequence, with 2.20 points per match over the last five matches and an average xG delta of 1.03.
The next detected match is 1.FC Nürnberg vs 1.FC Kaiserslautern on . The leading 1X2 read currently points to “Home win” around 40%.