Denmark SuperligaFT7 Sept
FC Midtjylland
FC Nordsjaelland11.91
X3.75
23.50
1
RatingHigh
2-2
Form:
HWDWDW
ALWWWW
Goals:1.96
Correct Score:1-0
Past 1X2 Predictions
Denmark SuperligaFC MidtjyllandFC NordsjaellandDenmark SuperligaFT6 Sept
Brondby IF
Randers FC11.53
X4.40
25.25
1
RatingVery High
0-3
Form:
HLWWWW
AWLLWL
Goals:2.1
Correct Score:1-0
Denmark SuperligaFT6 Sept
Odense BK
FC Kobenhavn13.32
X3.73
21.80
X
RatingVery High
0-5
Form:
HDDLLW
AWWLWW
Goals:3.04
Correct Score:1-1
Denmark SuperligaFT6 Sept
Sonderjysk Elitesport Fodbold
AC Horsens12.15
X3.45
22.90
2
RatingVery High
2-5
Form:
HLLLDL
ALWWLL
Goals:3.07
Correct Score:0-2
Denmark SuperligaFT5 Sept
Aarhus Gymnastikforening
Silkeborg IF11.52
X4.20
25.50
X
RatingHigh
2-2
Form:
HLLDLD
ADLLWL
Goals:2.37
Correct Score:1-1
Denmark SuperligaFT4 Sept
Viborg FF
Lyngby Boldklub11.70
X3.70
23.95
1
RatingVery High
0-2
Form:
HWWWDL
ADLDLD
Goals:3.34
Correct Score:2-0
LEAGUE STATISTICS
2026/27Denmark Superliga Team Statistics
Current-season team performance, scoring and defensive trends.
| Team | MP | W | D | L | GF | GA | Win %▼ | BTTS↕ | O2.5↕ | CS↕ | |
|---|---|---|---|---|---|---|---|---|---|---|---|
 fc-kobenhavn | 9 | 8 | 0 | 1 | 23 | 8 | 89% | 33% | 67% | 56% | NaN |
 fc-nordsjaelland | 9 | 5 | 2 | 2 | 14 | 10 | 56% | 44% | 44% | 44% | NaN |
 fc-midtjylland | 9 | 5 | 4 | 0 | 17 | 9 | 56% | 78% | 44% | 22% | NaN |
 viborg-ff | 9 | 5 | 2 | 2 | 15 | 8 | 56% | 44% | 44% | 33% | NaN |
 brondby-if | 9 | 4 | 1 | 4 | 12 | 15 | 44% | 56% | 56% | 22% | NaN |
 randers-fc | 9 | 3 | 1 | 5 | 11 | 14 | 33% | 44% | 56% | 22% | NaN |
 ac-horsens | 9 | 3 | 2 | 4 | 15 | 16 | 33% | 78% | 67% | 0% | NaN |
 silkeborg-if | 9 | 2 | 4 | 3 | 12 | 12 | 22% | 67% | 44% | 22% | NaN |
 odense-bk | 9 | 2 | 3 | 4 | 8 | 14 | 22% | 56% | 44% | 11% | NaN |
 sonderjysk-elitesport-fodbold | 9 | 1 | 2 | 6 | 12 | 21 | 11% | 67% | 67% | 11% | NaN |
 lyngby-boldklub | 9 | 1 | 4 | 4 | 10 | 16 | 11% | 67% | 44% | 11% | NaN |
 aarhus-gymnastikforening | 9 | 0 | 5 | 4 | 11 | 17 | 0% | 78% | 67% | 0% | NaN |
LEAGUE GUIDE
About Denmark Superliga Predictions
BetGenuine provides data-driven Denmark Superliga predictions using team form, scoring trends, defensive performance, match statistics and probability-based analysis. The statistics and upcoming match data on this page relate to the 2026/27 season where available.
Denmark Superliga Predictions
The prediction section covers upcoming matches with estimated probabilities, suggested markets, available bookmaker odds and expected match outcomes. Predictions are generated from available data and should be treated as probability estimates rather than guaranteed results.
Team Form & Match Trends
Recent form helps show how both teams have performed before an upcoming fixture. Depending on the selected market, the form indicators can represent wins, draws and losses, goal trends, both teams to score or match trends from recent matches.
League Statistics
The league statistics table compares teams using current-season data such as matches played, wins, goals, clean sheets, BTTS percentage, over 2.5 goals rate and average corners. The sortable columns make it easier to identify teams with particularly strong statistical trends.
Prediction Markets
You can explore different football prediction markets including 1X2, goals, both teams to score, double chance and correct score. Market availability can vary depending on the fixture and the underlying data available.
Understanding the Statistics
Win %Percentage of league matches the team has won.
BTTSPercentage of matches where both teams scored.
O2.5Percentage of matches ending with three or more total goals.
CSClean-sheet percentage — matches where the team conceded no goals.
How to Use This Page
Start with the upcoming predictions, compare each selection with the recent form indicators and then use the league statistics table to understand the wider performance trend. A strong probability alone should not be used in isolation; form, opposition, available odds and sample size should also be considered.
Important: Football predictions are statistical estimates. Match outcomes can be affected by team selection, injuries, red cards, tactical changes and other events that cannot always be predicted in advance.
How 1X2 Predictions Work
◎
Data Analysis
We analyse team statistics, recent form, scoring and defensive trends, home and away performance and available match information.
▥
Probability Model
Our model estimates the probability of a home win, draw and away win, then ranks the three possible outcomes.
★
Prediction Rating
BetGenuine Rating is based on the Last-6 PPG gap. A gap of 0.00–0.24 is Low; 0.25–0.49 gives the higher-PPG team a Low-rated Double Chance; 0.50–0.75 gives the higher-PPG team a Low-rated win; 0.76–1.49 is Normal; 1.50–1.99 is High; and 2.00+ is Very High.
✓
Smart Betting
Use probability, confidence, form and available odds together to make informed decisions. No prediction should be treated as guaranteed.