Denmark Superligaen Cluster Tables



Over/Under ‘X’ Goals Betting Cluster Tables
Valid for the 2023-24 season

FT Over/Under markets between 0.5 & 6.5 Goals
HT Over/Under markets between 0.5 & 2.5 Goals

Immerse yourself in Denmark’s Superligaen, a realm of fierce competition and high-scoring matches, with our innovative Cluster Tables – a tool designed for deciphering goal data and calculating precise odds. This captivating league offers a riveting experience for Over/Under goal betting enthusiasts, making our Cluster Tables an indispensable ally in your betting arsenal.

Using these tables, uncover revealing insights, accurately predict goal tallies, and carry out meticulous calculations of probabilities and Zero-Odds.

This isn’t just a tool; it’s an opportunity to elevate your betting from mere guesswork to a data-driven venture. With the Superligaen and our Cluster Tables, you’re not just an onlooker, but a shrewd punter steering your own rewarding betting journey.

Should you not know: >>> What is a Cluster Table? <<<

With your purchase, you will also receive the Over/Under ‘X’ Goals Betting Cluster Tables for the 2022-23 season, allowing you to backtest your strategies. Please note that there was a major upgrade this season, and the layout of the previous tables may appear a little outdated.

Product Specification
Over/Under ‘X’ Goals Betting Table (1048 Game Analysis 2018-23, Excel .xls, 428 kB)

  • In conjunction with the Fundamentals of Sports Betting Course
  • 7 teams with 5 seasons of data: Aarhus, Brondby, FC Copenhagen, Midtjylland, Nordsjaelland, Odense, Randers FC
  • Min. 60 games out of 192 = 31.25% of all 2023-24 games available for betting (i.e. second half of season: 4/4 split of teams into Championship or Relegation groups) Max. 72 games out of 192 = 37.50% of all 2023-24 games available for betting (i.e. second half of season: 6/2 or 2/6 split of teams into Championship or Relegation groups) (Excludes all Euro League play-off games)
Denmark Superligaen Calendar
Start Date: 04th August, 2023
1st Half Ends: 03rd December, 2023

2nd Half starts: 13th January, 2024
Finish Date: 17th March, 2024

Cluster Tables are a valuable resource for those looking to make strategic bets in the Over/Under goals market. They help bettors to calculate probabilities and Zero-Odds for goal bets, enabling value detection by comparing market prices to true odds.

Want to fully understand Cluster Tables and how to apply them? Get our Fundamentals of Sports Betting course book.

With a statistical foundation, bettors can navigate the complexities of the betting world and find their footing.


No Team Dominates

The Denmark Superligaen is a unique league known for its competitive balance and high-scoring matches.

Five different teams have won the league title in the past decade, highlighting the league’s parity.

One of the league’s remarkable features is its high-scoring matches, where teams have been averaging almost three goals per game in recent seasons, and over 60% of matches seeing over 2.5 goals

For fans and bettors alike, the Superligaen offers an exciting opportunity to witness thrilling matches filled with goals.

Denmark national football team striker Andreas Cornelius scroring a goal
Denmark national football team striker Andreas Cornelius (2018)

Graph of Goal Distribution - Denmark Superligaen - 2017-18 to 2021-22


New Format, Same Goals

In 2019-20, the Danish Superliga reduced the number of teams from 14 to 12, playing a total of 192 matches (before: 236).

Each team now plays 32 games per season, starting with 22 matches against every side. In spring, the league splits into a championship playoff and a qualifying playoff, with teams in the top and bottom six playing each other twice more.

Neither the Covid-9 nor the change of the league format affected the number of average goals. There were 2.87 in 2017-18, 2.79 in 2018-19, 2.78 in 2019-20, 2.89 in 2020-21 and 2.66 in 2021-22.


Goal Disparity

The Danish and Swiss football leagues have a secret weapon: their round-robin format. With each team playing each other four times per season, the teams feel right at home in their opponents’ stadiums. But don’t be fooled, there is still a difference between playing at home and away.

Just take Randers FC for example. When playing at home, 52.5% of their matches finish with Under 2.5 goals, while only 42.5% of their away matches do the same. This means that betting on Under 2.5 goals when Randers is playing at home should be priced around 1.92 (10/11) and 2.35 (11/8) when playing away.

This crucial knowledge can make or break a bettor’s success. So remember, when making betting decisions, take into consideration the goal disparity between home and away matches to judge if the price (odds) is fair or not.

Graph: Denmark, Randers - Distribution Under X goals, home & away 2017-22 Graph: Denmark, Randers - Zero Odds Under X goals, home & away 2017-22
Table with Over Under goals probability calculations - Over - Denmark Superligaen - FC Copenhagen vs Nordsjaelland 2023.04.02 Table with Over Under goals probability calculations - Under - Denmark Superligaen - FC Copenhagen vs Nordsjaelland 2023.04.02
Click on the image above to toggle manually between Over and Under calculations


Wise Choices

In this example, we demonstrate selecting Value Bets using probabilities between 60% and 95% (the fourth column: Average). We choose bets with odds above zero, regardless of their position within the fair odds range.

This match had two Value Bets: Over 1.5 goals at 1.28 odds and Over 2.5 goals at 1.89 odds. Both bets exceeded the expected fair odds range, appearing somewhat suspicious. Public opinion pressure might have caused this disparity. However, we were aware that neither Covid-19 nor the league format change affected the average number of goals, with Denmark averaging 2.8 goals over the last five seasons.

In this case, both bets won, even the 2.5 bet had a 31.65% chance of not winning, we wouldn’t have been surprised.


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Dive into the science of odds calculation, master the skill of accurately predicting over/under goals using historical data, and craft a personalized winning strategy.

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