Fast starters
8/10Midtjylland scored first in 8 of 10 recent matches with goal times (league 47%).
Superliga Predictions & Stats
Free AI predictions for every upcoming Superliga match — 1X2, Both Teams to Score, Over/Under goals and Correct Score probabilities.
Predictions updated on 31 October 2026.
Superliga Predictions by Market
Season 2022/2023 · Round 9 · Relegation Round
Full-Time Result
52%
SUCCESS RATE AVG.
Both Teams To Score
62%
SUCCESS RATE AVG.
Over/Under 2.5 Goals
60%
SUCCESS RATE AVG.
Over/Under 3.5 Goals
58%
SUCCESS RATE AVG.
First Half Result
38%
SUCCESS RATE AVG.
Correct Score
10%
SUCCESS RATE AVG.
Superliga 2022/2023 prediction accuracy over the last 100 matches: 1X2 52%, BTTS 62%, Over/Under 2.5 60%, Over/Under 3.5 58%, correct score 10%.
Superliga stats: goals, BTTS, corners and cards vs other leagues
How this competition ranks among the leagues and cups we cover for goals, chances (xG), corners and cards.
How to read it
last 12 months · 188 matchesrank 1 = highest of 63 competitionsGoals galore
Goals a match
3.04
11th of 63
xG a match
3.01
10th of 62
Corners a match
Cards a match
Calculated by MyGameOdds · xG: our own model
How it works
We use the league's matches from the last 12 months, without qualifying rounds, and rank it against the 63 leagues and club competitions with 50 or more matches in that time (1 = highest). A label marks a league in the top fifth on goals, home or away wins, draws, cards or corners, or in the bottom fifth on goals. xG is our estimate of each match's chances from its shots.
Superliga: the stats that stand out
The Superliga teams most unusual in their last 10 games.
How to read it
the teamleague averageeach team's last 10 games8/10Brick wall
5/10FC Copenhagen kept 5 clean sheets in their last 10 (league 23%).
Always chasing
7/10Randers conceded first in 7 of 10 recent matches with goal times (league 47%).
Goal-fests
8/10Brøndby games went over 2.5 goals in 8 of their last 10 (league 59%).
Goals at both ends
8/10Lyngby: both teams scored in 8 of their last 10 (league 60%).
Calculated by MyGameOdds
How it works
For each stat we show the club that stands out most, one club per stat. A fact needs at least 6 games and a result far enough from the league average to be unusual (at least one standard deviation).
How we measure →Today's Betting Tips for Superliga Denmark
Free predictions for today's Superliga matches: 1X2, both teams to score, over/under and correct score.
· FT
OB2
Horsens1Winner
1 55%
BTTS*
Yes 51%
Correct Score
1-0 12%
Over/Under 2.5 goals
under 50%
Over/Under 3.5 goals
under 61%
OB2Horsens1Winner
1 55%
BTTS*
Yes 51%
Correct Score
1-0 12%
Over/Under 2.5 goals
under 50%
Over/Under 3.5 goals
under 61%
Full Time
155%
X23%
221%
Team Goals Over/Under
| <0.5 | >0.5 | <1.5 | >1.5 | |
|---|---|---|---|---|
 | 19% | 81% | 49% | 51% |
 | 44% | 56% | 77% | 23% |
Goals Over/Under
| <2.5 | >2.5 | <3.5 | >3.5 | |
|---|---|---|---|---|
| FT | 50% | 50% | 61% | 39% |
Correct Score
1-0
11.8%
1-1
11.4%
2-0
10.1%
2-1
9.6%
0-0
6.8%
0-1
6.4%
· FT
Lyngby2
AaB1Winner
12 73%
BTTS*
Yes 52%
Correct Score
1-1 13%
Over/Under 2.5 goals
under 53%
Over/Under 3.5 goals
under 64%
Lyngby2AaB1Winner
12 73%
BTTS*
Yes 52%
Correct Score
1-1 13%
Over/Under 2.5 goals
under 53%
Over/Under 3.5 goals
under 64%
· FT
Silkeborg3
Midtjylland3Winner
X2 69%
BTTS*
Yes 55%
Correct Score
1-1 12%
Over/Under 2.5 goals
over 51%
Over/Under 3.5 goals
under 62%
Silkeborg3Midtjylland3Winner
X2 69%
BTTS*
Yes 55%
Correct Score
1-1 12%
Over/Under 2.5 goals
over 51%
Over/Under 3.5 goals
under 62%
· FT
Viborg1
FC Copenhagen2Winner
X2 72%
BTTS*
Yes 54%
Correct Score
1-1 12%
Over/Under 2.5 goals
under 51%
Over/Under 3.5 goals
under 63%
Viborg1FC Copenhagen2Winner
X2 72%
BTTS*
Yes 54%
Correct Score
1-1 12%
Over/Under 2.5 goals
under 51%
Over/Under 3.5 goals
under 63%
· FT
Brøndby5
Nordsjælland1Winner
12 75%
BTTS*
Yes 54%
Correct Score
1-1 12%
Over/Under 2.5 goals
under 50%
Over/Under 3.5 goals
under 61%
Brøndby5Nordsjælland1Winner
12 75%
BTTS*
Yes 54%
Correct Score
1-1 12%
Over/Under 2.5 goals
under 50%
Over/Under 3.5 goals
under 61%
· FT
Randers1
AGF3Winner
X2 67%
BTTS*
Yes 56%
Correct Score
1-1 12%
Over/Under 2.5 goals
over 52%
Over/Under 3.5 goals
under 60%
Randers1AGF3Winner
X2 67%
BTTS*
Yes 56%
Correct Score
1-1 12%
Over/Under 2.5 goals
over 52%
Over/Under 3.5 goals
under 60%
· FT
Midtjylland4OB2Winner
1 58%
BTTS*
Yes 54%
Correct Score
1-1 11%
Over/Under 2.5 goals
over 56%
Over/Under 3.5 goals
under 57%
Midtjylland4OB2Winner
1 58%
BTTS*
Yes 54%
Correct Score
1-1 11%
Over/Under 2.5 goals
over 56%
Over/Under 3.5 goals
under 57%
· FT
Horsens0Lyngby0Winner
12 74%
BTTS*
Yes 54%
Correct Score
1-1 12%
Over/Under 2.5 goals
over 50%
Over/Under 3.5 goals
under 61%
Horsens0Lyngby0Winner
12 74%
BTTS*
Yes 54%
Correct Score
1-1 12%
Over/Under 2.5 goals
over 50%
Over/Under 3.5 goals
under 61%
· FT
AaB0Silkeborg1Winner
12 75%
BTTS*
Yes 56%
Correct Score
1-1 12%
Over/Under 2.5 goals
over 52%
Over/Under 3.5 goals
under 60%
AaB0Silkeborg1Winner
12 75%
BTTS*
Yes 56%
Correct Score
1-1 12%
Over/Under 2.5 goals
over 52%
Over/Under 3.5 goals
under 60%
· FT
Nordsjælland0Viborg0Winner
1X 70%
BTTS*
Yes 59%
Correct Score
1-1 11%
Over/Under 2.5 goals
over 57%
Over/Under 3.5 goals
under 56%
Nordsjælland0Viborg0Winner
1X 70%
BTTS*
Yes 59%
Correct Score
1-1 11%
Over/Under 2.5 goals
over 57%
Over/Under 3.5 goals
under 56%
· FT
AGF3Brøndby3Winner
12 73%
BTTS*
Yes 52%
Correct Score
1-1 13%
Over/Under 2.5 goals
under 53%
Over/Under 3.5 goals
under 66%
AGF3Brøndby3Winner
12 73%
BTTS*
Yes 52%
Correct Score
1-1 13%
Over/Under 2.5 goals
under 53%
Over/Under 3.5 goals
under 66%
· FT
FC Copenhagen1Randers1Winner
1 62%
BTTS*
Yes 51%
Correct Score
1-0 11%
Over/Under 2.5 goals
over 54%
Over/Under 3.5 goals
under 58%
FC Copenhagen1Randers1Winner
1 62%
BTTS*
Yes 51%
Correct Score
1-0 11%
Over/Under 2.5 goals
over 54%
Over/Under 3.5 goals
under 58%
· FT
Randers1Brøndby3Winner
X2 71%
BTTS*
Yes 58%
Correct Score
1-1 11%
Over/Under 2.5 goals
over 55%
Over/Under 3.5 goals
under 57%
Randers1Brøndby3Winner
X2 71%
BTTS*
Yes 58%
Correct Score
1-1 11%
Over/Under 2.5 goals
over 55%
Over/Under 3.5 goals
under 57%
· FT
Silkeborg1Nordsjælland1Winner
X2 70%
BTTS*
Yes 55%
Correct Score
1-1 11%
Over/Under 2.5 goals
over 52%
Over/Under 3.5 goals
under 58%
Silkeborg1Nordsjælland1Winner
X2 70%
BTTS*
Yes 55%
Correct Score
1-1 11%
Over/Under 2.5 goals
over 52%
Over/Under 3.5 goals
under 58%
· FT
Midtjylland3Lyngby2Winner
1 52%
BTTS*
Yes 54%
Correct Score
1-1 11%
Over/Under 2.5 goals
over 55%
Over/Under 3.5 goals
under 58%
Midtjylland3Lyngby2Winner
1 52%
BTTS*
Yes 54%
Correct Score
1-1 11%
Over/Under 2.5 goals
over 55%
Over/Under 3.5 goals
under 58%
· FT
Horsens5
SønderjyskE1Winner
1X 69%
BTTS*
Yes 54%
Correct Score
1-1 12%
Over/Under 2.5 goals
over 51%
Over/Under 3.5 goals
under 62%
Horsens5SønderjyskE1Winner
1X 69%
BTTS*
Yes 54%
Correct Score
1-1 12%
Over/Under 2.5 goals
over 51%
Over/Under 3.5 goals
under 62%
· FT
AGF2Viborg1Winner
1X 67%
BTTS*
Yes 58%
Correct Score
1-1 11%
Over/Under 2.5 goals
over 55%
Over/Under 3.5 goals
under 57%
AGF2Viborg1Winner
1X 67%
BTTS*
Yes 58%
Correct Score
1-1 11%
Over/Under 2.5 goals
over 55%
Over/Under 3.5 goals
under 57%
· FT
FC Copenhagen1OB1Winner
1 62%
BTTS*
Yes 52%
Correct Score
1-0 11%
Over/Under 2.5 goals
over 56%
Over/Under 3.5 goals
under 56%
FC Copenhagen1OB1Winner
1 62%
BTTS*
Yes 52%
Correct Score
1-0 11%
Over/Under 2.5 goals
over 56%
Over/Under 3.5 goals
under 56%
· FT
Lyngby2Randers1Winner
12 73%
BTTS*
Yes 54%
Correct Score
1-1 12%
Over/Under 2.5 goals
under 50%
Over/Under 3.5 goals
under 61%
Lyngby2Randers1Winner
12 73%
BTTS*
Yes 54%
Correct Score
1-1 12%
Over/Under 2.5 goals
under 50%
Over/Under 3.5 goals
under 61%
Viborg–Horsens–Winner
12 75%
BTTS*
Yes 63%
Correct Score
1-1 11%
Over/Under 2.5 goals
over 61%
Over/Under 3.5 goals
under 51%
Viborg–Horsens–Winner
12 75%
BTTS*
Yes 63%
Correct Score
1-1 11%
Over/Under 2.5 goals
over 61%
Over/Under 3.5 goals
under 51%
OB–Silkeborg–Winner
1 53%
BTTS*
Yes 58%
Correct Score
1-1 11%
Over/Under 2.5 goals
over 57%
Over/Under 3.5 goals
under 56%
OB–Silkeborg–Winner
1 53%
BTTS*
Yes 58%
Correct Score
1-1 11%
Over/Under 2.5 goals
over 57%
Over/Under 3.5 goals
under 56%
Nordsjælland–Midtjylland–Winner
1X 72%
BTTS*
Yes 54%
Correct Score
1-1 13%
Over/Under 2.5 goals
under 50%
Over/Under 3.5 goals
under 62%
Nordsjælland–Midtjylland–Winner
1X 72%
BTTS*
Yes 54%
Correct Score
1-1 13%
Over/Under 2.5 goals
under 50%
Over/Under 3.5 goals
under 62%
Brøndby–AGF–Winner
1X 72%
BTTS*
Yes 62%
Correct Score
1-1 10%
Over/Under 2.5 goals
over 62%
Over/Under 3.5 goals
over 50%
Brøndby–AGF–Winner
1X 72%
BTTS*
Yes 62%
Correct Score
1-1 10%
Over/Under 2.5 goals
over 62%
Over/Under 3.5 goals
over 50%
SønderjyskE–FC Copenhagen–Winner
2 51%
BTTS*
Yes 60%
Correct Score
1-1 11%
Over/Under 2.5 goals
over 59%
Over/Under 3.5 goals
under 53%
SønderjyskE–FC Copenhagen–Winner
2 51%
BTTS*
Yes 60%
Correct Score
1-1 11%
Over/Under 2.5 goals
over 59%
Over/Under 3.5 goals
under 53%
Silkeborg–Lyngby–Winner
12 74%
BTTS*
Yes 56%
Correct Score
1-1 12%
Over/Under 2.5 goals
over 53%
Over/Under 3.5 goals
under 58%
Silkeborg–Lyngby–Winner
12 74%
BTTS*
Yes 56%
Correct Score
1-1 12%
Over/Under 2.5 goals
over 53%
Over/Under 3.5 goals
under 58%
OB–Viborg–Winner
12 75%
BTTS*
Yes 60%
Correct Score
1-1 11%
Over/Under 2.5 goals
over 58%
Over/Under 3.5 goals
under 55%
OB–Viborg–Winner
12 75%
BTTS*
Yes 60%
Correct Score
1-1 11%
Over/Under 2.5 goals
over 58%
Over/Under 3.5 goals
under 55%
FC Copenhagen–Brøndby–Winner
1 53%
BTTS*
Yes 56%
Correct Score
1-1 11%
Over/Under 2.5 goals
over 55%
Over/Under 3.5 goals
under 58%
FC Copenhagen–Brøndby–Winner
1 53%
BTTS*
Yes 56%
Correct Score
1-1 11%
Over/Under 2.5 goals
over 55%
Over/Under 3.5 goals
under 58%
AGF–Horsens–Winner
1X 74%
BTTS*
Yes 58%
Correct Score
1-1 11%
Over/Under 2.5 goals
over 57%
Over/Under 3.5 goals
under 56%
AGF–Horsens–Winner
1X 74%
BTTS*
Yes 58%
Correct Score
1-1 11%
Over/Under 2.5 goals
over 57%
Over/Under 3.5 goals
under 56%
Randers–Nordsjælland–Winner
2 53%
BTTS*
Yes 57%
Correct Score
1-1 10%
Over/Under 2.5 goals
over 57%
Over/Under 3.5 goals
under 55%
Randers–Nordsjælland–Winner
2 53%
BTTS*
Yes 57%
Correct Score
1-1 10%
Over/Under 2.5 goals
over 57%
Over/Under 3.5 goals
under 55%
Midtjylland–SønderjyskE–Winner
1 63%
BTTS*
Yes 51%
Correct Score
1-0 11%
Over/Under 2.5 goals
over 57%
Over/Under 3.5 goals
under 56%
Midtjylland–SønderjyskE–Winner
1 63%
BTTS*
Yes 51%
Correct Score
1-0 11%
Over/Under 2.5 goals
over 57%
Over/Under 3.5 goals
under 56%
*Probability of each predicted outcome is expressed in percentage (%)
*BTTS - Both teams to score
Superliga xG: chances created and allowed
Every Superliga team's chances created and allowed a game, measured with our own xG.
How to read it
each logo is a team · tap one for detailseach logo is a team · hover one for detailsSuperliga average · 1.49 xG, 1.49 xGAlast 10 games eachTap a logo to see the team's numbers
↑ Fewer chances allowed (xGA a game)
More chances created (xG a game) →
Teams by box· 12
Good attack, good defence
Good attack, weak defence
Weak attack, weak defence
Calculated by MyGameOdds · xG: our own model
How it works
xG is our estimate of how many goals a team's chances were worth, from the shots in each match; xGA is the same for the chances it allowed. The dashed lines are the average of the teams shown. A team close to a line is about average. Teams with fewer than 5 games here aren't in the chart yet.
How we measure →Superliga Results vs the Odds
Season 2026/2027 and the last 30 days
How often each result has happened in Superliga this season (thick bar) and in the last 30 days (thin bar), next to what the bookmakers’ closing odds expected. The last 30 days cover fewer matches, so their normal range is wider and big swings there are still normal. This is not our prediction accuracy.
How to read it
what the closing odds expectednormal range: chance alone lands here 19 times in 20gap to the odds, in percentage pointsgap outside the normal rangethick bar: Season · thin bar: 30 days
Result · happened
◀ fewer −30◀ fewer than expected · −30 pts odds expected+30 more ▶+30 pts · more than expected ▶
Verdict
Home wins
73 matches
45.2%
Season (73) · 45.2% vs 42.7%
Season
+2.5
±10.6
30 days (19) · 47.4% vs 43.1%
30 days
+4.3
±21.1
Draws
73 matches
30.1%
Season (73) · 30.1% vs 23.3%
Season
+6.8
±9.7
30 days (19) · 36.8% vs 23.9%
30 days
+12.9
±19.1
Away wins
73 matches
24.7%
Season (73) · 24.7% vs 34.0%
Season
−9.3
±10.2
30 days (19) · 15.8% vs 33.0%
30 days
−17.2
±20.2
Over 2.5 goals
73 matches
57.5%
Season (73) · 57.5% vs 60.7%
Season
−3.2
±11.2
30 days (19) · 68.4% vs 61.1%
30 days
+7.4
±21.8
Both teams scored
73 matches
63.0%
Season (73) · 63.0% vs 59.9%
Season
+3.1
±11.2
30 days (19) · 73.7% vs 60.8%
30 days
+12.9
±21.9
Show more markets (6)Show fewer markets
Over 3.5 goals
73 matches
38.4%
Season (73) · 38.4% vs 39.1%
Season
−0.7
±11.1
30 days (19) · 36.8% vs 39.6%
30 days
−2.7
±21.9
Home side ahead at half-time
73 matches
38.4%
Season (73) · 38.4% vs 34.3%
Season
+4.1
±10.6
30 days (19) · 57.9% vs 34.8%More than expected
30 days
+23.1
±20.9More than expected
Level at half-time
73 matches
32.9%
Season (73) · 32.9% vs 37.7%
Season
−4.9
±11.1
30 days (19) · 26.3% vs 37.7%
30 days
−11.4
±21.8
Away side ahead at half-time
73 matches
28.8%
Season (73) · 28.8% vs 28.0%
Season
+0.8
±10.0
30 days (19) · 15.8% vs 27.5%
30 days
−11.7
±19.6
Home team scored 2+
73 matches
49.3%
Season (73) · 49.3% vs 49.3%
Season
0.0
±11.1
30 days (19) · 57.9% vs 49.7%
30 days
+8.2
±21.9
Away team scored 2+
73 matches
39.7%
Season (73) · 39.7% vs 41.6%
Season
−1.9
±10.9
30 days (19) · 36.8% vs 41.6%
30 days
−4.8
±21.5
Shows what happened, not what comes next. Closing odds from one bookmaker per match, bookmaker margin removed. Updated daily.
Show as a tableHide the table
| Result | Period | Matches | Happened | Odds expected | Gap (pts) | Normal range (± pts) | Verdict |
|---|---|---|---|---|---|---|---|
| Home wins | Season | 73 | 45.2% | 42.7% | +2.5 | ±10.6 | Normal range |
| Home wins | 30 days | 19 | 47.4% | 43.1% | +4.3 | ±21.1 | Normal range |
| Draws | Season | 73 | 30.1% | 23.3% | +6.8 | ±9.7 | Normal range |
| Draws | 30 days | 19 | 36.8% | 23.9% | +12.9 | ±19.1 | Normal range |
| Away wins | Season | 73 | 24.7% | 34.0% | −9.3 | ±10.2 | Normal range |
| Away wins | 30 days | 19 | 15.8% | 33.0% | −17.2 | ±20.2 | Normal range |
| Over 2.5 goals | Season | 73 | 57.5% | 60.7% | −3.2 | ±11.2 | Normal range |
| Over 2.5 goals | 30 days | 19 | 68.4% | 61.1% | +7.4 | ±21.8 | Normal range |
| Both teams scored | Season | 73 | 63.0% | 59.9% | +3.1 | ±11.2 | Normal range |
| Both teams scored | 30 days | 19 | 73.7% | 60.8% | +12.9 | ±21.9 | Normal range |
| Over 3.5 goals | Season | 73 | 38.4% | 39.1% | −0.7 | ±11.1 | Normal range |
| Over 3.5 goals | 30 days | 19 | 36.8% | 39.6% | −2.7 | ±21.9 | Normal range |
| Home side ahead at half-time | Season | 73 | 38.4% | 34.3% | +4.1 | ±10.6 | Normal range |
| Home side ahead at half-time | 30 days | 19 | 57.9% | 34.8% | +23.1 | ±20.9 | More than expected |
| Level at half-time | Season | 73 | 32.9% | 37.7% | −4.9 | ±11.1 | Normal range |
| Level at half-time | 30 days | 19 | 26.3% | 37.7% | −11.4 | ±21.8 | Normal range |
| Away side ahead at half-time | Season | 73 | 28.8% | 28.0% | +0.8 | ±10.0 | Normal range |
| Away side ahead at half-time | 30 days | 19 | 15.8% | 27.5% | −11.7 | ±19.6 | Normal range |
| Home team scored 2+ | Season | 73 | 49.3% | 49.3% | 0.0 | ±11.1 | Normal range |
| Home team scored 2+ | 30 days | 19 | 57.9% | 49.7% | +8.2 | ±21.9 | Normal range |
| Away team scored 2+ | Season | 73 | 39.7% | 41.6% | −1.9 | ±10.9 | Normal range |
| Away team scored 2+ | 30 days | 19 | 36.8% | 41.6% | −4.8 | ±21.5 | Normal range |
Superliga luck check: the last 10 games
Superliga teams taking more or fewer points than their chances usually bring, measured with our own xG.
How to read it
what their chances usually bringnormal range (±4)outside it+6.3 = 6 points more than their chances usually bringRiding their luck1
- Midtjylland+6.3
Unlucky1
AGF−4.4
Points in line, but clinical: Horsens (+8 goals).
In line with their chances: Viborg, OB, Silkeborg, Brøndby, Nordsjælland, FC Copenhagen, Lyngby, SønderjyskE and Randers.
Calculated by MyGameOdds · xG: our own model
How it works
For each of a team's last 10 games, we work out how many points a team usually gets from a game with those chances (xG) for and against, add them up and compare with the points it actually got. We do the same for goals. Strong teams often get a bit more than their chances suggest, so we compare each team with sides of similar strength in this league. That way nobody is flagged just for being good.
We flag a team when the gap is 4 points or more (or 3 goals or more). If some games have no xG data, we use the ones that do.
Does it mean anything? 85% of teams 4+ points ahead of their chances got fewer points in their next 10 games, and 83% of teams 4+ points behind got more. Bookmakers already expect these gaps to even out, so it's a fan's read, not a betting edge.
How we measure →Superliga last week: smash-and-grab wins and upsets
Smash-and-grab wins (the side with clearly fewer chances won) and upsets (results the closing odds gave under 20%) from the last 7 days.
How to read it
Oct 24–Oct 31 · 6 matches · odds: closing, margin removedCalculated by MyGameOdds · xG: our own model
How it works
Smash-and-grab: the winner had at least 0.8 less xG than the loser (our xG, from shots). Upset: the result the closing odds gave under 20%, with the bookmaker margin removed. Across our leagues about 6% of matches are smash-and-grab wins and about 5% are upsets.
How we measure →Superliga Standings
Check the current league table, team positions, points, and form. Click to view complete standings with detailed statistics.
#TEAM | MP | PTS | W | D | L | G | GD | FORM |
|---|---|---|---|---|---|---|---|---|
1  Midtjylland | 12 | 28 | 8 | 4 | 0 | 24:13 | +11 | W W W D W |
2  FC Copenhagen | 12 | 26 | 8 | 2 | 2 | 26:12 | +14 | D D L W W |
3  Viborg | 12 | 20 | 6 | 2 | 4 | 19:12 | +7 | L L W W D |
4  Nordsjælland | 12 | 20 | 5 | 5 | 2 | 18:14 | +4 | D D D L W |
5  Brøndby | 12 | 19 | 6 | 1 | 5 | 21:20 | +1 | W L W L L |
Championship Round
Relegation Round
MP=Matches Played
PTS=Points
W=Wins
D=Draws
L=Losses
G=Goals (For:Against)
GD=Goal Difference
FORM=Last 5 Matches
The league profile compares Superliga with the 63 leagues and cups we rank over the last 12 months (rank 1 = highest). The stats that stand out pick the most unusual numbers from each team's last 10 games. The attack vs defence chart puts each team in one of four boxes: top right creates more and allows fewer chances than the league average. The luck check shows who got more or fewer points than their chances in the last 10 games, and Last week lists wins with fewer chances and results the bookmakers gave under 20%.
These statistics represent prediction accuracy based on the last 100 matches in the league. Accuracy reflects how often the model correctly predicted the outcome for each market. Our football predictions are generated using advanced AI techniques combined with historical match data, team form, player availability and head-to-head records to deliver reliable forecasts. Explore our prediction results tracker for live accuracy across all completed matches, our league accuracy data for competition-level breakdowns, or prediction performance for team-level insights.
About Superliga
The Danish Superliga is the top professional football league in Denmark. It consists of 12 teams and operates on a system of promotion and relegation with the Danish 1st Division. The Danish Superliga is known for its competitive matches and emphasis on attacking football. FC Copenhagen and Brøndby IF are the most successful clubs in Danish football history, having won numerous league titles.