Danish Superliga Predictions
Danish Superliga predictions by our AI. Modern attacking football — 3.02 goals per game, 59 % over 2.5 in our recent data — and a two-phase format where Copenhagen and Midtjylland have traded blows for a decade. Recently added to our coverage: the model's record here is being built in public, with no filtering.
Upcoming analysed matches
Latest results
Standings
season 2026| # | Club | P | W | D | L | GF | GA | GD | Pts | Form |
|---|---|---|---|---|---|---|---|---|---|---|
| 1 | FC Copenhagen | 10 | 8 | 0 | 2 | 24 | 10 | +14 | 24 | WWWWL |
| 2 | FC Midtjylland | 10 | 6 | 4 | 0 | 19 | 10 | +9 | 22 | WDWDW |
| 3 | Viborg | 10 | 6 | 2 | 2 | 17 | 8 | +9 | 20 | WLDWW |
| 4 | FC Nordsjaelland | 10 | 5 | 3 | 2 | 14 | 10 | +4 | 18 | LDWLD |
| 5 | Brondby | 10 | 5 | 1 | 4 | 17 | 17 | 0 | 16 | LLLLW |
| 6 | AC Horsens | 11 | 3 | 4 | 4 | 18 | 19 | -1 | 13 | WLDDD |
| 7 | Silkeborg | 10 | 2 | 5 | 3 | 15 | 15 | 0 | 11 | DDDWD |
| 8 | Randers FC | 11 | 3 | 2 | 6 | 11 | 16 | -5 | 11 | WLLLD |
| 9 | Odense | 10 | 2 | 4 | 4 | 8 | 14 | -6 | 10 | DLWDD |
| 10 | Aarhus | 10 | 1 | 5 | 4 | 14 | 17 | -3 | 8 | LDLDW |
| 11 | Lyngby | 10 | 1 | 4 | 5 | 12 | 21 | -9 | 7 | DWDLL |
| 12 | Sonderjyske | 10 | 1 | 2 | 7 | 12 | 24 | -12 | 5 | LLDWL |
What our model is really worth on this league
Our engine (Dixon-Coles) runs under observation: calls stay "AI Trends" until the return is proven in live conditions — every trend is timestamped, settled against the final score and counted below, never dressed up. The line-by-line detail is public: trends journal.
Latest settled trends
Published before kick-off, settled as-is — wins and losses alike.
Frequently asked questions
Which markets are covered?
1X2 (match result) and Over/Under 2.5 goals on every covered match, plus the most likely correct scores. Every prediction is timestamped, then settled against the closing odds in our public journal — wins and losses alike.
When are predictions published?
Model probabilities are computed up to 7 days ahead and refreshed several times a day as odds move. The written analysis of each match is published before kick-off.
Are Danish Superliga predictions free?
Yes. The analysis of each match and the model probabilities are free. The detailed recommendation (market, odds and value) is reserved for subscribers.
How are these predictions generated?
By our AI model (Dixon-Coles + xG), recomputed before each match from recent form, team statistics and market odds, to estimate 1X2 and Over/Under probabilities and spot value.
Does ProbWin cover every Danish Superliga match?
We publish analysis and model probabilities for Danish Superliga matches as soon as the data (likely lineups, odds, recent form) is available, throughout the season.
Where can I see the Danish Superliga table and stats?
On this page: full standings, recent form, top scorers and Danish Superliga scoring averages, shown alongside the model's probabilities for each match.
All our predictions: football. To understand the method behind our predictions, see how our AI works.
