Danish Superliga
DenmarkSeason 2026-2712 teams
Latest results
No fixtures in the next 14 days — predictions appear the day before each round.
Every current predictionDanish Superliga profile
Across 440 Danish Superliga matches in our dataset since 2024-25.
League table
| # | Team | P | W | D | L | GD | Pts | Value | Form |
|---|---|---|---|---|---|---|---|---|---|
| 1 |  FC Copenhagen | 9 | 8 | 0 | 1 | +15 | 24 | WWWWW | |
| 2 |  Midtjylland | 9 | 5 | 4 | 0 | +8 | 19 | €116m | DWDWD |
| 3 |  Viborg | 9 | 5 | 2 | 2 | +7 | 17 | WDLWW | |
| 4 |  FC Nordsjaelland | 9 | 5 | 2 | 2 | +4 | 17 | LWDLW | |
| 5 |  Brondby | 9 | 4 | 1 | 4 | -3 | 13 | LLLLW | |
| 6 |  AC Horsens | 9 | 3 | 2 | 4 | -1 | 11 | DLWLW | |
| 7 |  Silkeborg | 9 | 2 | 4 | 3 | 0 | 10 | WDDDL | |
| 8 |  Randers FC | 9 | 3 | 1 | 5 | -3 | 10 | LLWWL | |
| 9 |  Odense | 9 | 2 | 3 | 4 | -6 | 9 | DWLDD | |
| 10 |  Lyngby | 9 | 1 | 4 | 4 | -6 | 7 | LDWDL | |
| 11 |  Aarhus | 9 | 0 | 5 | 4 | -6 | 5 | DLDLL | |
| 12 |  Sonderjyske | 9 | 1 | 2 | 6 | -9 | 5 | WDLLL |
Squad market values are community estimates, updated weekly — sourced as documented on our data page.
Danish Superliga team stats
BTTS rate by team
| Team | Played | BTTS |
|---|---|---|
| Aarhus | 30 | 73% |
| Midtjylland | 30 | 67% |
| Odense | 30 | 67% |
| Silkeborg | 30 | 57% |
| Sonderjyske | 30 | 57% |
| Lyngby | 30 | 53% |
| Viborg | 30 | 53% |
| FC Copenhagen | 30 | 50% |
| FC Nordsjaelland | 30 | 50% |
| Brondby | 30 | 43% |
| Randers FC | 30 | 43% |
Over 2.5 goals rate by team
| Team | Played | Over 2.5 |
|---|---|---|
| FC Copenhagen | 30 | 73% |
| Sonderjyske | 30 | 63% |
| Midtjylland | 30 | 60% |
| Odense | 30 | 60% |
| Silkeborg | 30 | 60% |
| Aarhus | 30 | 53% |
| Randers FC | 30 | 53% |
| Viborg | 30 | 53% |
| FC Nordsjaelland | 30 | 50% |
| Brondby | 30 | 47% |
| Lyngby | 30 | 40% |
Expected goals 2026-27
| Team | Played | xG | xGA | xG diff | Goals − xG |
|---|---|---|---|---|---|
| FC Nordsjaelland | 9 | 2.31 | 1.43 | +0.88 | −6.8 |
| Viborg | 8 | 1.73 | 1.17 | +0.56 | +0.1 |
| FC Copenhagen | 8 | 1.69 | 1.19 | +0.49 | +7.5 |
| Midtjylland | 8 | 1.52 | 1.05 | +0.46 | +3.9 |
| Lyngby | 9 | 1.77 | 1.39 | +0.38 | −5.9 |
| Aarhus | 9 | 1.58 | 1.50 | +0.08 | −3.2 |
| Odense | 8 | 1.54 | 1.82 | −0.28 | −5.3 |
| Brondby | 9 | 1.20 | 1.54 | −0.33 | +1.2 |
| Silkeborg | 8 | 1.13 | 1.56 | −0.43 | +2.0 |
| AC Horsens | 8 | 1.13 | 1.58 | −0.45 | +5.9 |
| Randers FC | 9 | 1.07 | 1.58 | −0.51 | +1.4 |
| Sonderjyske | 9 | 1.01 | 1.82 | −0.81 | +2.9 |
Each club's last 30 Danish Superliga matches in our dataset, newest first — current season included, sample size shown per club. Historical frequencies, not predictions; the model's per-match probabilities live on the BTTS and over/under 2.5 tips pages. Expected goals are per-game figures over each club's league matches this season that carry xG on both sides; "Goals − xG" is the season total. Provider-recorded statistics, sourced as documented on our data page; the model does not use xG yet.