Decoding Round 16: AI-Powered Predictions and Stats for Superliga Denmark
The Thrill of the Unknown
Get ready to dive headfirst into a captivating analysis of Superliga Denmark’s Round 16! The league, known for its passionate fanbase and unpredictable outcomes—a place where the unexpected often reigns supreme—is about to face another round of intense competition. Did you know that Superliga has been around since 1987, evolving from a merger of several smaller leagues?
We’ve harnessed the power of cutting-edge artificial intelligence and crunched mountains of data to bring you exclusive predictions and compelling statistics. This isn’t about guarantees; it’s about uncovering probabilities and providing insight into what might unfold on the pitch.
Disclaimer
Please remember that sports predictions are inherently uncertain, and outcomes can be influenced by a multitude of factors beyond statistical models. Gambling should always be approached responsibly, with only funds you can afford to lose. This analysis is for informational purposes only and should not be considered financial or gambling advice.
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Full Time Results and Asian Handicap
In the table below you will find our AI prediccions for Superliga Denmark round 16. Asian refers to the recomended asian handicap line.
| Date | League | Home Team | Away Team | Prediction | Asian |
|---|---|---|---|---|---|
| 2025-11-21 | Superliga Denmark | Silkeborg | AGF | A | 1X2 |
| 2025-11-23 | Superliga Denmark | København | Brøndby | H | 1X2 |
| 2025-11-23 | Superliga Denmark | Viborg | Vejle | H | 1X2 |
| 2025-11-23 | Superliga Denmark | Nordsjælland | Fredericia | H | No bet |
| 2025-11-23 | Superliga Denmark | SønderjyskE | Midtjylland | A | 1X2 |
| 2025-11-24 | Superliga Denmark | Randers | OB | A | 0 |
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Both Teams to Score
BTS (Both Teams to Score) is a popular betting market in sports, especially in soccer. In a BTS bet, you’re wagering on whether both teams in a match will score at least one goal each. The table below shows the BTS stats for the home team at home and the away team away.
| Date | Home Team | Away Team | BTS Home (%) | BTS Away (%) | BTS Target | BTS No Target |
|---|---|---|---|---|---|---|
| 2025-11-21 | Silkeborg | AGF | 57 | 100 | 1.27 | 4.67 |
| 2025-11-23 | København | Brøndby | 71 | 14 | 2.33 | 1.75 |
| 2025-11-23 | Viborg | Vejle | 86 | 71 | 1.27 | 4.67 |
| 2025-11-23 | Nordsjælland | Fredericia | 43 | 71 | 1.75 | 2.33 |
| 2025-11-23 | SønderjyskE | Midtjylland | 57 | 29 | 2.33 | 1.75 |
| 2025-11-24 | Randers | OB | 29 | 86 | 1.75 | 2.33 |
Totals
The table below shows the goal averages for each encounter based on home teams average performance (goals scored and conceded) at home, and away teams average performance away. We use poisson distribution to calculate probabilities for over and under 2.5 goal. For your convienence we have converted the probabilities to decimal odds.
| Date | Home Team | Away Team | Goal Avg. | +2.5 target odds | -2.5 target odds |
|---|---|---|---|---|---|
| 2025-11-21 | Silkeborg | AGF | 3.43 | 1.50 | 2.99 |
| 2025-11-23 | København | Brøndby | 2.64 | 2.03 | 1.97 |
| 2025-11-23 | Viborg | Vejle | 3.14 | 1.65 | 2.55 |
| 2025-11-23 | Nordsjælland | Fredericia | 3.28 | 1.57 | 2.75 |
| 2025-11-23 | SønderjyskE | Midtjylland | 2.42 | 2.30 | 1.77 |
| 2025-11-24 | Randers | OB | 3.36 | 1.53 | 2.88 |
We also have calculated the average goals scored and conceded for the teams. See the table below.
| Team | Home Goals | Home Conceded | Away Goals | Away Conceded |
|---|---|---|---|---|
| Midtjylland | 3.25 | 1.62 | 1.71 | 0.43 |
| AGF | 1.62 | 0.88 | 2.43 | 1.43 |
| Brøndby | 2.25 | 1.38 | 1.57 | 0.57 |
| København | 1.71 | 1.43 | 2.12 | 1.50 |
| OB | 1.75 | 2.25 | 1.71 | 2.57 |
| SønderjyskE | 1.71 | 1.00 | 1.50 | 1.88 |
| Silkeborg | 1.43 | 1.57 | 1.50 | 2.25 |
| Viborg | 1.71 | 1.86 | 1.12 | 1.12 |
| Nordsjælland | 1.00 | 1.43 | 1.50 | 2.00 |
| Fredericia | 0.88 | 2.12 | 1.57 | 2.57 |
| Randers | 1.00 | 1.43 | 1.12 | 1.50 |
| Vejle | 1.38 | 1.50 | 0.71 | 2.00 |