Foresportia Elo
1434Bundesliga 2 rank : 11th
SG Dynamo Dresden
Foresportia analyses SG Dynamo Dresden 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
1.10Standard deviation over 5 matchesRecent form
1.00Points per match over 5 matchesModel confidence
45.5%Average over 10 predictionsCurrent analysis: SG Dynamo Dresden
The goal tally for SG Dynamo Dresden is level across the last five recorded matches in Bundesliga 2: 7 scored and the same number conceded. The team have taken 5 points from a possible 15 over these matches. 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 |
|---|---|---|---|
| 1 | 2 | 0 | |
| 2 | 2 | 1 | |
| 1 | 2 | 0 | |
| 1 | 1 | 1 | |
| 2 | 0 | 3 |
1. How Foresportia evaluates SG Dynamo Dresden
Summary of indicators actually available in Foresportia data.
2. Next match
Holstein KielElo : 1421
SG Dynamo DresdenElo : 1459
1X2 probabilities (Foresportia model)
Holstein Kiel 41%Draw 31%SG Dynamo Dresden 29%
3. Prediction reliability for SG Dynamo Dresden
Data updated on 20 October 2026
Reliability trendCumulative monthly history
Insufficient sample| Cumulative monthly history | Profile | Reliability | Volume |
|---|---|---|---|
| 2025-08 | Risk | Insufficient sample | 3 |
| 2025-09 | Risk | Insufficient sample | 5 |
| 2025-10 | Risk | Insufficient sample | 8 |
| 2025-11 | Risk | 40.0% | 10 |
| 2025-12 | Risk | 36.4% | 11 |
| 2026-01 | Risk | 38.5% | 13 |
| 2026-02 | Risk | 33.3% | 18 |
| 2026-03 | Risk | 35.0% | 20 |
| 2026-04 | Risk | 41.7% | 24 |
| 2026-05 | Risk | 40.7% | 27 |
| 2026-08 | Risk | 41.4% | 29 |
| 2026-09 | Risk | 43.8% | 32 |
| 2026-10 | Risk | 41.2% | 34 |
| 2025-08 | Correct and above | Insufficient sample | 1 |
| 2025-09 | Correct and above | Insufficient sample | 2 |
| 2025-10 | Correct and above | Insufficient sample | 2 |
| 2025-11 | Correct and above | Insufficient sample | 4 |
| 2025-12 | Correct and above | Insufficient sample | 6 |
| 2026-01 | Correct and above | Insufficient sample | 6 |
| 2026-02 | Correct and above | Insufficient sample | 6 |
| 2026-03 | Correct and above | Insufficient sample | 7 |
| 2026-04 | Correct and above | Insufficient sample | 7 |
| 2026-05 | Correct and above | Insufficient sample | 7 |
| 2026-08 | Correct and above | Insufficient sample | 7 |
| 2026-09 | Correct and above | Insufficient sample | 7 |
| 2026-10 | Correct and above | Insufficient sample | 7 |
| 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 | 2 |
| 2025-12 | Stable and above | Insufficient sample | 3 |
| 2026-01 | Stable and above | Insufficient sample | 3 |
| 2026-02 | Stable and above | Insufficient sample | 3 |
| 2026-03 | Stable and above | Insufficient sample | 3 |
| 2026-04 | Stable and above | Insufficient sample | 3 |
| 2026-05 | Stable and above | Insufficient sample | 3 |
| 2026-08 | Stable and above | Insufficient sample | 3 |
| 2026-09 | Stable and above | Insufficient sample | 3 |
| 2026-10 | Stable and above | Insufficient sample | 3 |
| 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 | 2 |
| 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 | 3 |
| 2026-04 | Ultra stable | Insufficient sample | 3 |
| 2026-05 | Ultra stable | Insufficient sample | 3 |
| 2026-08 | Ultra stable | Insufficient sample | 3 |
| 2026-09 | Ultra stable | Insufficient sample | 3 |
| 2026-10 | Ultra stable | Insufficient sample | 3 |
4. Predictive profile for SG Dynamo Dresden
ContextObserved measureReading
Home performance1.43 pts/matchHigher observed return
Away performance0.95 pts/matchLower observed return
5. Statistical markers for SG Dynamo Dresden
Team values from Foresportia sources, without a reconstructed league average.
History: 41 verified matches
6. Market signals for SG Dynamo Dresden
MarketAverage probabilityReliabilityVolumeReading
Double chance 1X66.0%77.3%22Major, well-documented signal
Double chance 1270.9%73.9%23Robust signal
Over 2.555.9%60.0%15Recurring signal
Home draw no bet59.0%58.3%12Recurring signal
7. Model dynamics & analysis
Foresportia Elo trendTracks the team’s relative level as matches are played.
SG Dynamo Dresden
Average model confidenceShows how the model’s average certainty changes across matches.
SG Dynamo Dresden
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.
SG Dynamo Dresden
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.
SG Dynamo Dresden
8. Foresportia analysis
For Foresportia, SG Dynamo Dresden mainly draws value from its home edge. This page also tracks ranking, Elo evolution, goal trends and the market signals Foresportia finds most useful.
SG Dynamo Dresden still needs to be read through recent form, Elo and its advanced production indicators.
The next detected match is Holstein Kiel vs SG Dynamo Dresden on . The leading 1X2 read currently points to “Home win” around 41%.
Continue exploring
Upcoming matches, competition, other teams and verifiable history.
9. SG Dynamo Dresden FAQ
What is the next match for SG Dynamo Dresden on Foresportia?
This page shows SG Dynamo Dresden's confirmed next match with the enriched prediction probabilities that are currently available.
How should you read SG Dynamo Dresden's ranking and Elo?
This page includes dedicated charts for SG Dynamo Dresden's ranking and Elo trends, with season separators to make the evolution easier to read.
What does the strongest picks block mean for SG Dynamo Dresden?
It highlights the markets that performed best in the available history for SG Dynamo Dresden, together with sample size, hit rate and average probability.
SG Dynamo Dresden: AI analysis, predictions and Foresportia signals
For Foresportia, SG Dynamo Dresden mainly draws value from its home edge. This page also tracks ranking, Elo evolution, goal trends and the market signals Foresportia finds most useful.
SG Dynamo Dresden still needs to be read through recent form, Elo and its advanced production indicators.
The next detected match is Holstein Kiel vs SG Dynamo Dresden on . The leading 1X2 read currently points to “Home win” around 41%.