Home / Leagues / Denmark / Superliga / 2026-27
‹

2026-27 Superliga Season

54 games played · 12 teams

Live

Season Status

In Progress

Awaiting final results

Title Favorite

FC Copenhagen

76.83% chance to win the title

Biggest Overachiever

FC Copenhagen

8.64 points above expected

24 points · 15.36 expected points

Biggest Disappointment

Aarhus GF

9.09 points below expected

5 points · 14.09 expected points

League Table

Each team's record through games played. SimPts is the model's expected points through the same games — the sum over completed games of pregame win-probability × 3 plus tie-probability × 1. vsSim shows actual points minus that expectation — positive means the team has overachieved against the model so far.

# Team GP W D L Pts GF GA GD SimPts vsSim
1 FC Copenhagen 9 8 0 1 24 23 8 +15 15.36 +8.64
2 Midtjylland 9 5 4 0 19 17 9 +8 15.72 +3.28
3 Viborg 9 5 2 2 17 15 8 +7 12.88 +4.12
4 Nordsjaelland 9 5 2 2 17 14 10 +4 13.30 +3.70
5 Brondby 9 4 1 4 13 12 15 -3 12.46 +0.54
6 Horsens 9 3 2 4 11 15 16 -1 10.51 +0.49
7 Silkeborg 9 2 4 3 10 12 12 0 9.14 +0.86
8 Randers 9 3 1 5 10 11 14 -3 10.68 -0.68
9 Odense 9 2 3 4 9 8 14 -6 10.36 -1.36
10 Lyngby 9 1 4 4 7 10 16 -6 11.60 -4.60
11 Aarhus GF 9 0 5 4 5 11 17 -6 14.09 -9.09
12 Sonderjyske 9 1 2 6 5 12 21 -9 10.82 -5.82

Going into Phase 2, both groups kept their full Phase 1 points. Each group then played its own round-robin to determine final standings.

Top Overachievers & Disappointments

Teams that most beat — or most fell short of — their simulated point projections. A positive vsSim means the team accumulated more points than the model expected on average; a negative one means fewer.

Biggest Overachievers

# Team Actual Sim vsSim
1 FC Copenhagen 24 15.36 +8.64
2 Viborg 17 12.88 +4.12
3 Nordsjaelland 17 13.30 +3.70
4 Midtjylland 19 15.72 +3.28
5 Silkeborg 10 9.14 +0.86

Biggest Disappointments

# Team Actual Sim vsSim
1 Aarhus GF 5 14.09 -9.09
2 Sonderjyske 5 10.82 -5.82
3 Lyngby 7 11.60 -4.60
4 Odense 9 10.36 -1.36
5 Randers 10 10.68 -0.68

Top Streaks

Ranked by model unlikelihood — the product of pregame W/D/L probabilities over the games in each team's streak. A short streak by a poor team can outrank a longer one by a strong team since the poor team's per-game probabilities were lower going in. Unbeaten counts consecutive wins or ties; Winless counts consecutive losses or ties.

Most Unlikely Winning Streaks

# Team Games Dates Probability
1 FC Copenhagen 5 Aug 31 – Sep 20 1 in 33
2 Viborg 3 Aug 14 – Aug 28 1 in 24
3 Brondby 4 Aug 2 – Aug 24 1 in 23
4 Randers 2 Aug 30 – Sep 6 1 in 20
5 Nordsjaelland 4 Aug 2 – Aug 30 1 in 20

Most Unlikely Losing Streaks

# Team Games Dates Probability
1 Brondby 4 Aug 30 – Sep 20 1 in 46
2 Sonderjyske 4 Aug 17 – Sep 6 1 in 32
3 Aarhus GF 2 Aug 30 – Sep 2 1 in 12
4 Odense 2 Aug 10 – Aug 16 1 in 10
5 Horsens 2 Aug 2 – Aug 9 1 in 5

Most Unlikely Unbeaten Streaks

# Team Games Dates Probability
1 Silkeborg 4 Aug 30 – Sep 18 1 in 15
2 Midtjylland 9 Jul 26 – Sep 19 1 in 12
3 Brondby 5 Jul 25 – Aug 24 1 in 7
4 Viborg 4 Aug 7 – Aug 28 1 in 6
5 Nordsjaelland 5 Jul 26 – Aug 30 1 in 5

Most Unlikely Winless Streaks

# Team Games Dates Probability
1 Aarhus GF 9 Jul 25 – Sep 20 1 in 177
2 Sonderjyske 8 Jul 26 – Sep 13 1 in 17
3 Lyngby 6 Jul 26 – Aug 30 1 in 9
4 Odense 5 Aug 10 – Sep 6 1 in 6
5 Brondby 4 Aug 30 – Sep 20 1 in 5

Position Race

Each team’s league position across the whole season. The current top 3 and bottom 3 are highlighted; everyone else is gray as context.

Recent Elo Movers

Which teams are the hottest and coldest over the last 14 days according to their Elo ratings?

Biggest Elo Gainers

# Team Δ Elo Current Elo
1 Aarhus GF +0.00 1781
2 Brondby +0.00 1743
3 FC Copenhagen +0.00 1874
4 Horsens +0.00 1719
5 Lyngby +0.00 1699

Biggest Elo Losers

# Team Δ Elo Current Elo
1 Aarhus GF +0.00 1781
2 Brondby +0.00 1743
3 FC Copenhagen +0.00 1874
4 Horsens +0.00 1719
5 Lyngby +0.00 1699

Recent Form

Each team’s last 5 games, hottest first. Form shows the results (navy win, gray draw, red loss, newest on the right); the bars show Elo change over the window, points taken, points expected from the odds, and actual minus expected. Beside each team: current Elo and season points.

Team Elo Season Pts Form Elo Δ (5) Points (5) Expected (5) Actual − Exp
FC Copenhagen 1874 24 +55 15 8.9 +6.1
Midtjylland 1865 19 +21 9 8.5 +0.5
Viborg 1794 17 +30 10 7.5 +2.5
Nordsjaelland 1807 17 -6 7 6.7 +0.3
Brondby 1743 13 -45 3 6.8 -3.8
Horsens 1719 11 +9 7 6.0 +1.0
Randers 1706 10 +14 6 5.6 +0.4
Silkeborg 1718 10 +29 6 4.7 +1.3
Odense 1696 9 -14 6 4.9 +1.1
Lyngby 1699 7 -22 5 7.2 -2.2
Sonderjyske 1693 5 -30 4 6.0 -2.0
Aarhus GF 1781 5 -34 2 7.4 -5.4

Upcoming Matches

The next slate of games with the model’s win / draw probabilities and an excitement rating (0–100). Beside each team: record · pre-game Elo.

Date Favored By Home Win% – Draw% – Win% Away Favored ByExcitement
2026-10-11 0.68 Aarhus GF 5 pts·1781 55% – 26% – 19% Sonderjyske 5 pts·1693 56.2
2026-10-11 0.48 Brondby 13 pts·1743 49% – 28% – 23% Lyngby 7 pts·1699 63.5
2026-10-11 0.23 Midtjylland 19 pts·1865 42% – 29% – 29% FC Copenhagen 24 pts·1874 82.2
2026-10-11 0.79 Nordsjaelland 17 pts·1807 57% – 25% – 17% Odense 9 pts·1696 51.4
2026-10-11 Randers 10 pts·1706 31% – 29% – 40% Viborg 17 pts·1794 0.1460.8
2026-10-11 0.27 Silkeborg 10 pts·1718 43% – 29% – 28% Horsens 11 pts·1719 74.1
2026-10-18 0.33 Horsens 11 pts·1719 45% – 29% – 26% Randers 10 pts·1706 71.7
2026-10-18 0.71 FC Copenhagen 24 pts·1874 56% – 26% – 19% Aarhus GF 5 pts·1781 64.7
2026-10-18 Lyngby 7 pts·1699 29% – 29% – 42% Nordsjaelland 17 pts·1807 0.2355.8
2026-10-18 0.05 Odense 9 pts·1696 37% – 29% – 34% Brondby 13 pts·1743 62.6
2026-10-18 0.16 Sonderjyske 5 pts·1693 40% – 29% – 31% Silkeborg 10 pts·1718 68.7
2026-10-18 Viborg 17 pts·1794 34% – 29% – 37% Midtjylland 19 pts·1865 0.0669.4

Recent Matches

The most recent results with an excitement rating (0–100). Beside each team: record · pre-game Elo · Elo change.

Date Favored By Home Score Away Favored ByExcitement
2026-09-20 Horsens 11 pts·1719·+0.03 2 – 2 Aarhus GF 5 pts·1781·-0.03 0.0276.6
2026-09-20 Brondby 13 pts·1749·-5.84 0 – 1 FC Copenhagen 24 pts·1869·+5.84 0.2858.1
2026-09-20 0.12 Sonderjyske 5 pts·1684·+9.54 4 – 2 Randers 10 pts·1716·-9.54 66.3
2026-09-20 0.07 Viborg 17 pts·1779·+15.62 4 – 1 Nordsjaelland 17 pts·1822·-15.62 60.8
2026-09-19 Odense 9 pts·1695·+1.15 1 – 1 Midtjylland 19 pts·1866·-1.14 0.5370.9
2026-09-18 0.49 Lyngby 7 pts·1732·-32.71 0 – 4 Silkeborg 10 pts·1685·+32.71 58.9
2026-09-14 0.73 Midtjylland 19 pts·1857·+9.41 4 – 1 Brondby 13 pts·1759·-9.41 55.2
2026-09-13 0.37 Nordsjaelland 17 pts·1812·+10.33 2 – 0 Aarhus GF 5 pts·1791·-10.34 54.1
2026-09-13 0.51 Lyngby 7 pts·1733·-1.11 1 – 1 Sonderjyske 5 pts·1683·+1.11 70.4
2026-09-13 0.45 Randers 10 pts·1724·-8.45 1 – 2 Odense 9 pts·1687·+8.45 69.4
2026-09-13 Silkeborg 10 pts·1685·+0.38 1 – 1 Viborg 17 pts·1779·-0.37 0.1770.1

Head-to-Head

Each cell shows a team's record in that matchup (row vs column, formatted W-D-L) with the model's expected points on the line below. Navy-tinted cells mean the team beat the model's expectations by more than one point in that matchup; gold-tinted cells mean they fell short by the same margin.

Beat expectations Fell short Within expectations
Team AG BRO FC HOR LYN MID NOR ODE RAN SIL SON VIB
Aarhus GF —
0-1-0
1.81
0-0-0
0.00
0-1-0
1.37
0-1-0
1.49
0-0-1
1.44
0-0-1
1.04
0-1-0
1.96
0-0-1
1.63
0-1-0
1.97
0-0-0
0.00
0-0-1
1.38
Brondby
0-1-0
0.91
 —
0-0-1
1.11
1-0-0
1.34
0-0-0
0.00
0-0-1
0.81
0-0-1
1.05
0-0-0
0.00
0-0-1
1.91
1-0-0
1.94
1-0-0
1.80
1-0-0
1.60
FC Copenhagen
0-0-0
0.00
1-0-0
1.60
 —
1-0-0
2.05
1-0-0
1.86
0-0-0
0.00
1-0-0
1.61
1-0-0
1.62
1-0-0
1.57
1-0-0
1.60
1-0-0
1.99
0-0-1
1.45
Horsens
0-1-0
1.34
0-0-1
1.36
0-0-1
0.71
 —
1-0-0
1.55
0-0-1
0.75
0-1-0
1.31
1-0-0
1.06
0-0-0
0.00
0-0-0
0.00
1-0-0
1.16
0-0-1
1.28
Lyngby
0-1-0
1.22
0-0-0
0.00
0-0-1
0.87
0-0-1
1.16
 —
0-1-0
1.10
0-0-0
0.00
0-1-0
1.61
0-0-1
1.24
0-0-1
1.77
0-1-0
1.78
1-0-0
0.85
Midtjylland
1-0-0
1.26
1-0-0
1.94
0-0-0
0.00
1-0-0
2.00
0-1-0
1.61
 —
0-1-0
1.77
0-1-0
1.79
1-0-0
2.09
0-1-0
1.76
1-0-0
1.50
0-0-0
0.00
Nordsjaelland
1-0-0
1.67
1-0-0
1.66
0-0-1
1.10
0-1-0
1.39
0-0-0
0.00
0-1-0
0.96
 —
0-0-0
0.00
1-0-0
1.88
1-0-0
1.93
1-0-0
1.41
0-0-1
1.29
Odense
0-1-0
0.79
0-0-0
0.00
0-0-1
1.09
0-0-1
1.66
0-1-0
1.10
0-1-0
0.93
0-0-0
0.00
 —
1-0-0
0.99
0-0-1
1.27
1-0-0
1.53
0-0-1
1.00
Randers
1-0-0
1.09
1-0-0
0.83
0-0-1
1.14
0-0-0
0.00
1-0-0
1.47
0-0-1
0.68
0-0-1
0.86
0-0-1
1.73
 —
0-1-0
1.64
0-0-1
1.24
0-0-0
0.00
Silkeborg
0-1-0
0.78
0-0-1
0.81
0-0-1
1.11
0-0-0
0.00
1-0-0
0.96
0-1-0
0.96
0-0-1
0.81
1-0-0
1.44
0-1-0
1.08
 —
0-0-0
0.00
0-1-0
1.20
Sonderjyske
0-0-0
0.00
0-0-1
0.93
0-0-1
0.76
0-0-1
1.55
0-1-0
0.94
0-0-1
1.21
0-0-1
1.30
0-0-1
1.18
1-0-0
1.46
0-0-0
0.00
 —
0-1-0
1.48
Viborg
1-0-0
1.33
0-0-1
1.11
1-0-0
1.25
1-0-0
1.43
0-0-1
1.89
0-0-0
0.00
1-0-0
1.42
1-0-0
1.72
0-0-0
0.00
0-1-0
1.50
0-1-0
1.23
 —

Points vs. Goals Scored, Allowed, and Differential

Points plotted against goals scored, allowed, and differential. Use the buttons to switch views; hover a team for exact values. The table gives each fit's R² and slope (the change in points per 10 goals).

Fit Metrics

R² Slope
Scored 0.72 +12.8
Allowed 0.78 -13.0
Differential 0.93 +8.0

Scoreline Distribution

Percentage of games ending with each combination of team-goals (rows) and opponent-goals (columns). The diagonal shows draws; cells below the diagonal are wins from the row team's perspective, cells above are losses. Marginal totals on the right and bottom show how often each goal count occurred regardless of opponent. Use the picker to switch between the league-wide view and any individual team.

↓ Scored | Allowed →012345+Total
01.85%7.41%6.48%1.85%2.78%0.93%21.30%
17.41%16.67%5.56%3.70%1.85%—35.19%
26.48%5.56%9.26%3.70%0.93%0.93%26.85%
31.85%3.70%3.70%———9.26%
42.78%1.85%0.93%———5.56%
5+0.93%—0.93%———1.85%
Total21.30%35.19%26.85%9.26%5.56%1.85%100%

Summary Statistics

Scored Allowed Difference
Mean 1.48 1.48 +0.00
SD 1.20 1.20 1.85
CV 0.81 0.81 —
Max 5 5 +5
Min 0 0 -5

Games Played: 54

↓ Scored | Allowed →012345+Total
0——22.22%———22.22%
1—11.11%22.22%———33.33%
2——44.44%———44.44%
3———————
4———————
5+———————
Total—11.11%88.89%———100%

Summary Statistics

Scored Allowed Difference
Mean 1.22 1.89 -0.67
SD 0.83 0.33 0.87
CV 0.68 0.18 —
Max 2 2 +0
Min 0 1 -2

Games Played: 9

↓ Scored | Allowed →012345+Total
0—11.11%—11.11%——22.22%
111.11%11.11%—11.11%11.11%—44.44%
211.11%—————11.11%
3—11.11%11.11%———22.22%
4———————
5+———————
Total22.22%33.33%11.11%22.22%11.11%—100%

Summary Statistics

Scored Allowed Difference
Mean 1.33 1.67 -0.33
SD 1.12 1.41 2.00
CV 0.84 0.85 —
Max 3 4 +2
Min 0 0 -3

Games Played: 9

↓ Scored | Allowed →012345+Total
0————11.11%—11.11%
111.11%—————11.11%
222.22%—————22.22%
3—22.22%11.11%———33.33%
411.11%—————11.11%
5+11.11%—————11.11%
Total55.56%22.22%11.11%—11.11%—100%

Summary Statistics

Scored Allowed Difference
Mean 2.56 0.89 +1.67
SD 1.51 1.36 2.50
CV 0.59 1.53 —
Max 5 4 +5
Min 0 0 -4

Games Played: 9

↓ Scored | Allowed →012345+Total
0——22.22%———22.22%
1—11.11%11.11%———22.22%
2—22.22%11.11%11.11%——44.44%
3———————
4———————
5+——11.11%———11.11%
Total—33.33%55.56%11.11%——100%

Summary Statistics

Scored Allowed Difference
Mean 1.67 1.78 -0.11
SD 1.50 0.67 1.62
CV 0.90 0.38 —
Max 5 3 +3
Min 0 1 -2

Games Played: 9

↓ Scored | Allowed →012345+Total
0——11.11%—11.11%—22.22%
1—33.33%11.11%———44.44%
211.11%—11.11%11.11%——33.33%
3———————
4———————
5+———————
Total11.11%33.33%33.33%11.11%11.11%—100%

Summary Statistics

Scored Allowed Difference
Mean 1.11 1.78 -0.67
SD 0.78 1.20 1.66
CV 0.70 0.68 —
Max 2 4 +2
Min 0 0 -4

Games Played: 9

↓ Scored | Allowed →012345+Total
0———————
111.11%33.33%————44.44%
211.11%11.11%11.11%———33.33%
3——11.11%———11.11%
4—11.11%————11.11%
5+———————
Total22.22%55.56%22.22%———100%

Summary Statistics

Scored Allowed Difference
Mean 1.89 1.00 +0.89
SD 1.05 0.71 1.05
CV 0.56 0.71 —
Max 4 2 +3
Min 1 0 +0

Games Played: 9

↓ Scored | Allowed →012345+Total
0——11.11%———11.11%
122.22%11.11%——11.11%—44.44%
211.11%—11.11%———22.22%
311.11%11.11%————22.22%
4———————
5+———————
Total44.44%22.22%22.22%—11.11%—100%

Summary Statistics

Scored Allowed Difference
Mean 1.56 1.11 +0.44
SD 1.01 1.36 1.94
CV 0.65 1.23 —
Max 3 4 +3
Min 0 0 -3

Games Played: 9

↓ Scored | Allowed →012345+Total
0—22.22%———11.11%33.33%
111.11%22.22%11.11%———44.44%
2—11.11%11.11%———22.22%
3———————
4———————
5+———————
Total11.11%55.56%22.22%——11.11%100%

Summary Statistics

Scored Allowed Difference
Mean 0.89 1.56 -0.67
SD 0.78 1.42 1.80
CV 0.88 0.92 —
Max 2 5 +1
Min 0 0 -5

Games Played: 9

↓ Scored | Allowed →012345+Total
0—22.22%——11.11%—33.33%
1—11.11%11.11%———22.22%
211.11%11.11%——11.11%—33.33%
311.11%—————11.11%
4———————
5+———————
Total22.22%44.44%11.11%—22.22%—100%

Summary Statistics

Scored Allowed Difference
Mean 1.22 1.56 -0.33
SD 1.09 1.51 2.12
CV 0.89 0.97 —
Max 3 4 +3
Min 0 0 -4

Games Played: 9

↓ Scored | Allowed →012345+Total
0—11.11%————11.11%
111.11%33.33%—22.22%——66.67%
2——11.11%———11.11%
3———————
411.11%—————11.11%
5+———————
Total22.22%44.44%11.11%22.22%——100%

Summary Statistics

Scored Allowed Difference
Mean 1.33 1.33 +0.00
SD 1.12 1.12 1.80
CV 0.84 0.84 —
Max 4 3 +4
Min 0 0 -2

Games Played: 9

↓ Scored | Allowed →012345+Total
011.11%11.11%—11.11%——33.33%
1—11.11%—11.11%——22.22%
2———22.22%—11.11%33.33%
3———————
4——11.11%———11.11%
5+———————
Total11.11%22.22%11.11%44.44%—11.11%100%

Summary Statistics

Scored Allowed Difference
Mean 1.33 2.33 -1.00
SD 1.32 1.50 1.58
CV 0.99 0.64 —
Max 4 5 +2
Min 0 0 -3

Games Played: 9

↓ Scored | Allowed →012345+Total
011.11%11.11%11.11%———33.33%
111.11%11.11%————22.22%
2—11.11%————11.11%
3——11.11%———11.11%
411.11%11.11%————22.22%
5+———————
Total33.33%44.44%22.22%———100%

Summary Statistics

Scored Allowed Difference
Mean 1.67 0.89 +0.78
SD 1.66 0.78 1.86
CV 0.99 0.88 —
Max 4 2 +4
Min 0 0 -2

Games Played: 9

Season Summary

Every team's season-to-date record alongside the projected end-of-season points totals from 100,000 simulations. Click any column header to sort. Exp. Pts. Rem. is the expected additional points the model thinks the team will accumulate over the rest of the season.

Team Elo Points Avg Exp. Pts. Rem. Min 5th Q1 Median Q3 95th Max
FC Copenhagen 1874 24 47.32 23.32 31 40 44 47 50 55 63
Midtjylland 1865 19 41.69 22.69 26 34 39 42 45 49 58
Nordsjaelland 1807 17 37.85 20.85 22 30 35 38 41 45 52
Viborg 1794 17 36.14 19.14 19 29 33 36 39 44 53
Aarhus GF 1781 5 23.88 18.88 8 17 21 24 27 31 40
Brondby 1743 13 30.22 17.22 15 23 27 30 33 38 47
Horsens 1719 11 26.64 15.64 13 20 24 27 30 34 44
Silkeborg 1718 10 26.42 16.42 12 19 23 26 29 34 43
Randers 1706 10 24.84 14.84 11 18 22 25 28 32 43
Lyngby 1699 7 21.33 14.33 7 14 18 21 24 29 39
Odense 1696 9 23.77 14.77 10 17 21 24 27 31 41
Sonderjyske 1693 5 19.37 14.37 7 12 16 19 22 27 37

Point Totals in Context

How did each team's actual results compare to their simulated points, Elo rating, average opponent Elo, and percentile within simulated outcomes? Use the buttons to switch between views. In each chart, dashed crosshairs at the league means split the plot into four quadrants: pastel green (team did well, model agreed), pastel red (team did poorly, model agreed), and pastel yellow (model and reality disagreed).

Home-Field Advantage Edge

The simulation applies the same home-field boost to every game across the league, so the per-game home win probabilities bake in the model's idea of HFA. For each team, we sum expected points at home and compare to actual home points, and the same on the road. The bar shows (home points above expected) minus (away points above expected). A tall positive bar means the team's home/road split exceeded what the model predicted — a real fortress effect. A tall negative bar means the reverse: they played worse at home or better on the road than expected.

Season Trends

How each metric evolved across the season - Elo rating, actual and projected points, title/promotion probability, and relegation probability - day by day.

Season metrics are available for completed seasons.

Final Table Odds

Each cell is the probability — across 100,000 simulations — that the team (row) finished at that position (column). Rows are sorted by actual finish (champion at top, bottom of the table at the bottom).

Team123456789101112
FC Copenhagen76.83%17.44%4.62%0.98%0.12%0.01%——————
Midtjylland17.11%48.27%22.37%9.26%2.18%0.59%0.16%0.05%0.01%———
Viborg2.15%13.38%28.08%34.46%13.21%4.93%2.26%0.98%0.41%0.09%0.05%—
Nordsjaelland3.76%19.21%36.48%27.43%8.74%2.77%1.11%0.34%0.14%0.02%——
Brondby0.13%1.16%4.86%13.23%27.64%19.88%13.61%8.62%5.53%3.50%1.43%0.41%
Horsens—0.21%1.21%4.72%13.88%17.93%17.50%14.92%12.51%9.13%5.63%2.36%
Silkeborg0.02%0.21%1.14%4.30%14.11%17.90%17.48%14.90%11.82%9.03%6.10%2.99%
Randers—0.07%0.56%2.39%7.96%12.66%14.02%16.00%15.52%14.52%10.99%5.31%
Odense—0.04%0.26%1.28%4.76%8.47%11.54%14.49%16.45%17.60%15.32%9.79%
Lyngby—0.01%0.05%0.61%1.74%4.07%6.07%9.35%12.89%17.89%24.43%22.89%
Aarhus GF——0.37%1.22%4.90%9.10%12.56%14.83%16.36%15.53%15.08%10.05%
Sonderjyske———0.12%0.76%1.69%3.69%5.52%8.36%12.69%20.97%46.20%

Points Required Per Position

The empirical CDF of simulated point totals per finishing position. Each curve shows, for one position (1st, 2nd, ..., last), the spread of point totals teams accumulated across simulations. Reading the curve at the 50% mark gives the median points typically needed to finish at that position. Steep curves mean the position is tightly clustered around a particular point range; shallow curves mean the position came with a wide variety of point totals.

Next-Season Status

Across 100,000 regular-season simulations, the probability of each team's next-season status. Columns appear in best-to-worst outcome order: promotion-positive on the left, relegation-positive on the right. Cells with darker shading indicate higher likelihood.

Team Qualified for Championship Round Relegated
FC Copenhagen 100% —
Midtjylland 100% —
Nordsjaelland 99.98% 0.02%
Viborg 99.89% 0.11%
Brondby 96.48% 3.52%
Horsens 87.53% 12.47%
Silkeborg 86.44% 13.56%
Aarhus GF 85.91% 14.09%
Randers 78.20% 21.80%
Odense 70.60% 29.40%
Lyngby 55.62% 44.38%
Sonderjyske 39.35% 60.65%

Overall Game Log

Summary of every completed game this season. Sort any column by clicking its header.

Date Opponent ScoreExcitement Pre Elo Opp Elo Win % Tie % Loss %Proj. Margin Elo Δ Points
2026-07-24 Odense W 1-056.6 1758 1724 48.05% 28.04% 23.92%+0.43 +5.2 3
2026-07-24 @ Viborg L 0-156.6 1724 1758 23.92% 28.04% 48.05%-0.43 -5.2 0
2026-07-25 Brondby D 1-171.1 1824 1763 51.43% 27.16% 21.41%+0.55 -1.2 1
2026-07-25 @ Aarhus GF D 1-171.1 1763 1824 21.41% 27.16% 51.43%-0.55 +1.2 1
2026-07-26 Midtjylland L 2-370.8 1740 1833 30.59% 29.26% 40.15%-0.16 -5.7 0
2026-07-26 @ Sonderjyske W 3-270.8 1833 1740 40.15% 29.26% 30.59%+0.16 +5.7 3
2026-07-26 Lyngby W 3-266.8 1812 1737 53.22% 26.60% 20.18%+0.62 +4.0 3
2026-07-26 @ FC Copenhagen L 2-366.8 1737 1812 20.18% 26.60% 53.22%-0.62 -4.0 0
2026-07-26 Nordsjaelland D 1-170.2 1718 1786 33.92% 29.45% 36.64%-0.04 +0.1 1
2026-07-26 @ Horsens D 1-170.2 1786 1718 36.64% 29.45% 33.92%+0.04 -0.1 1
2026-07-27 Silkeborg D 1-169.9 1707 1696 45.01% 28.64% 26.34%+0.32 -0.7 1
2026-07-27 @ Randers D 1-169.9 1696 1707 26.34% 28.64% 45.01%-0.32 +0.7 1
2026-08-01 Aarhus GF D 2-276.8 1733 1823 30.94% 29.29% 39.76%-0.15 +0.2 1
2026-08-01 @ Lyngby D 2-276.8 1823 1733 39.76% 29.29% 30.94%+0.15 -0.2 2
2026-08-02 Horsens W 2-159.5 1839 1718 58.64% 24.58% 16.78%+0.83 +3.5 6
2026-08-02 @ Midtjylland L 1-259.5 1718 1839 16.78% 24.58% 58.64%-0.83 -3.5 1
2026-08-02 Randers W 1-054.9 1786 1706 53.82% 26.41% 19.77%+0.64 +4.4 4
2026-08-02 @ Nordsjaelland L 0-154.9 1706 1786 19.77% 26.41% 53.82%-0.64 -4.4 1
2026-08-02 Viborg W 1-058.0 1764 1763 43.63% 28.86% 27.51%+0.28 +5.9 4
2026-08-02 @ Brondby L 0-158.0 1763 1764 27.51% 28.86% 43.63%-0.28 -5.9 3
2026-08-02 FC Copenhagen L 1-361.0 1696 1816 27.36% 28.84% 43.80%-0.28 -9.5 1
2026-08-02 @ Silkeborg W 3-161.0 1816 1696 43.80% 28.84% 27.36%+0.28 +9.5 6
2026-08-03 Sonderjyske W 1-058.4 1719 1734 41.34% 29.15% 29.51%+0.20 +6.2 3
2026-08-03 @ Odense L 0-158.4 1734 1719 29.51% 29.15% 41.34%-0.20 -6.2 0
2026-08-07 Viborg D 0-065.7 1728 1758 39.43% 29.32% 31.25%+0.14 -0.3 1
2026-08-07 @ Sonderjyske D 0-065.7 1758 1728 31.25% 29.32% 39.43%-0.14 +0.3 4
2026-08-09 Lyngby W 2-055.7 1702 1733 39.18% 29.34% 31.49%+0.13 +12.3 4
2026-08-09 @ Randers L 0-255.7 1733 1702 31.49% 29.34% 39.18%-0.13 -12.3 1
2026-08-09 Brondby L 0-257.2 1715 1770 35.68% 29.46% 34.86%+0.01 -13.4 1
2026-08-09 @ Horsens W 2-057.2 1770 1715 34.86% 29.46% 35.68%-0.01 +13.4 7
2026-08-10 Odense W 1-059.2 1687 1725 38.16% 29.39% 32.44%+0.09 +6.7 4
2026-08-10 @ Silkeborg L 0-159.2 1725 1687 32.44% 29.39% 38.16%-0.09 -6.7 3
2026-08-14 Aarhus GF W 2-166.8 1758 1822 34.41% 29.46% 36.13%-0.03 +6.8 7
2026-08-14 @ Viborg L 1-266.8 1822 1758 36.13% 29.46% 34.41%+0.03 -6.8 2
2026-08-16 Silkeborg W 1-054.2 1790 1694 55.88% 25.67% 18.44%+0.72 +4.1 7
2026-08-16 @ Nordsjaelland L 0-154.2 1694 1790 18.44% 25.67% 55.88%-0.72 -4.1 4
2026-08-16 Horsens L 1-268.8 1718 1701 45.80% 28.50% 25.70%+0.35 -8.1 3
2026-08-16 @ Odense W 2-168.8 1701 1718 25.70% 28.50% 45.80%-0.35 +8.1 4
2026-08-16 Midtjylland D 1-170.5 1721 1842 27.08% 28.79% 44.13%-0.29 +0.7 2
2026-08-16 @ Lyngby D 1-170.5 1842 1721 44.13% 28.79% 27.08%+0.29 -0.7 7
2026-08-16 FC Copenhagen L 0-453.4 1714 1825 28.32% 28.99% 42.68%-0.24 -21.5 4
2026-08-16 @ Randers W 4-053.4 1825 1714 42.68% 28.99% 28.32%+0.24 +21.5 9
2026-08-17 Sonderjyske W 3-267.5 1784 1728 50.83% 27.33% 21.84%+0.53 +4.3 10
2026-08-17 @ Brondby L 2-367.5 1728 1784 21.84% 27.33% 50.83%-0.53 -4.3 1
2026-08-23 Odense D 2-277.9 1816 1710 56.87% 25.30% 17.83%+0.76 -1.2 3
2026-08-23 @ Aarhus GF D 2-277.9 1710 1816 17.83% 25.30% 56.87%-0.76 +1.2 4
2026-08-23 Nordsjaelland L 0-354.9 1724 1795 33.51% 29.44% 37.05%-0.06 -18.7 1
2026-08-23 @ Sonderjyske W 3-054.9 1795 1724 37.05% 29.44% 33.51%+0.06 +18.7 10
2026-08-23 Randers W 1-052.6 1842 1693 61.85% 23.15% 14.99%+0.97 +3.3 10
2026-08-23 @ Midtjylland L 0-152.6 1693 1842 14.99% 23.15% 61.85%-0.97 -3.3 4
2026-08-23 Lyngby W 2-164.0 1709 1721 41.86% 29.09% 29.04%+0.22 +5.8 7
2026-08-23 @ Horsens L 1-264.0 1721 1709 29.04% 29.09% 41.86%-0.22 -5.8 2
2026-08-23 FC Copenhagen W 4-056.7 1765 1847 32.01% 29.37% 38.62%-0.11 +27.0 10
2026-08-23 @ Viborg L 0-456.7 1847 1765 38.62% 29.37% 32.01%+0.11 -27.0 9
2026-08-24 Silkeborg W 3-157.2 1788 1689 56.09% 25.60% 18.31%+0.73 +6.7 13
2026-08-24 @ Brondby L 1-357.2 1689 1788 18.31% 25.60% 56.09%-0.73 -6.7 4
2026-08-28 Viborg L 2-371.3 1715 1792 32.74% 29.41% 37.85%-0.08 -6.0 7
2026-08-28 @ Horsens W 3-271.3 1792 1715 37.85% 29.41% 32.74%+0.08 +6.0 13
2026-08-30 Odense D 1-170.0 1715 1712 44.03% 28.80% 27.17%+0.29 -0.7 3
2026-08-30 @ Lyngby D 1-170.0 1712 1715 27.17% 28.80% 44.03%-0.29 +0.6 5
2026-08-30 Midtjylland D 1-170.8 1683 1845 22.83% 27.69% 49.47%-0.48 +1.1 5
2026-08-30 @ Silkeborg D 1-170.8 1845 1683 49.47% 27.69% 22.83%+0.48 -1.1 11
2026-08-30 Aarhus GF W 2-168.9 1689 1814 26.68% 28.71% 44.60%-0.31 +7.9 7
2026-08-30 @ Randers L 1-268.9 1814 1689 44.60% 28.71% 26.68%+0.31 -7.9 3
2026-08-30 Brondby W 3-160.6 1813 1795 45.98% 28.47% 25.55%+0.36 +9.0 13
2026-08-30 @ Nordsjaelland L 1-360.6 1795 1813 25.55% 28.47% 45.98%-0.36 -9.0 13
2026-08-31 Sonderjyske W 3-156.8 1820 1705 57.96% 24.86% 17.18%+0.81 +6.2 12
2026-08-31 @ FC Copenhagen L 1-356.8 1705 1820 17.18% 24.86% 57.96%-0.81 -6.2 1
2026-09-02 Midtjylland L 0-258.3 1806 1844 38.29% 29.39% 32.32%+0.10 -14.1 3
2026-09-02 @ Aarhus GF W 2-058.3 1844 1806 32.32% 29.39% 38.29%-0.10 +14.1 14
2026-09-03 Nordsjaelland W 2-054.8 1826 1822 43.98% 28.81% 27.21%+0.29 +11.0 15
2026-09-03 @ FC Copenhagen L 0-254.8 1822 1826 27.21% 28.81% 43.98%-0.29 -11.0 13
2026-09-04 Lyngby L 0-261.9 1798 1715 54.19% 26.28% 19.53%+0.66 -18.5 13
2026-09-04 @ Viborg W 2-061.9 1715 1798 19.53% 26.28% 54.19%-0.66 +18.5 6
2026-09-05 Silkeborg D 2-277.8 1792 1684 57.25% 25.15% 17.60%+0.78 -1.2 4
2026-09-05 @ Aarhus GF D 2-277.8 1684 1792 17.60% 25.15% 57.25%-0.78 +1.2 6
2026-09-06 Horsens L 2-565.5 1699 1709 42.06% 29.07% 28.87%+0.22 -16.1 1
2026-09-06 @ Sonderjyske W 5-265.5 1709 1699 28.87% 29.07% 42.06%-0.22 +16.1 10
2026-09-06 FC Copenhagen L 0-553.7 1712 1837 26.74% 28.72% 44.54%-0.31 -25.3 5
2026-09-06 @ Odense W 5-053.7 1837 1712 44.54% 28.72% 26.74%+0.31 +25.3 18
2026-09-06 Randers L 0-360.2 1786 1697 54.87% 26.04% 19.09%+0.68 -27.1 13
2026-09-06 @ Brondby W 3-060.2 1697 1786 19.09% 26.04% 54.87%-0.68 +27.1 10
2026-09-07 Nordsjaelland D 2-277.4 1858 1811 49.67% 27.64% 22.69%+0.49 -0.8 15
2026-09-07 @ Midtjylland D 2-277.4 1811 1858 22.69% 27.64% 49.67%-0.49 +0.8 14
2026-09-11 Horsens W 2-049.8 1862 1725 60.51% 23.77% 15.72%+0.91 +6.5 21
2026-09-11 @ FC Copenhagen L 0-249.8 1725 1862 15.72% 23.77% 60.51%-0.91 -6.5 10
2026-09-13 Aarhus GF W 2-054.1 1812 1791 46.31% 28.41% 25.28%+0.37 +10.3 17
2026-09-13 @ Nordsjaelland L 0-254.1 1791 1812 25.28% 28.41% 46.31%-0.37 -10.3 4
2026-09-13 Sonderjyske D 1-170.4 1733 1683 50.17% 27.51% 22.32%+0.51 -1.1 7
2026-09-13 @ Lyngby D 1-170.4 1683 1733 22.32% 27.51% 50.17%-0.51 +1.1 2
2026-09-13 Odense L 1-269.4 1724 1687 48.48% 27.94% 23.58%+0.45 -8.5 10
2026-09-13 @ Randers W 2-169.4 1687 1724 23.58% 27.94% 48.48%-0.45 +8.5 8
2026-09-13 Viborg D 1-170.1 1685 1779 30.41% 29.25% 40.35%-0.17 +0.4 7
2026-09-13 @ Silkeborg D 1-170.1 1779 1685 40.35% 29.25% 30.41%+0.17 -0.4 14
2026-09-14 Brondby W 4-155.2 1857 1759 56.07% 25.61% 18.33%+0.73 +9.4 18
2026-09-14 @ Midtjylland L 1-455.2 1759 1857 18.33% 25.61% 56.07%-0.73 -9.4 13
2026-09-18 Silkeborg L 0-458.9 1732 1685 49.68% 27.64% 22.68%+0.49 -32.7 7
2026-09-18 @ Lyngby W 4-058.9 1685 1732 22.68% 27.64% 49.68%-0.49 +32.7 10
2026-09-19 Midtjylland D 1-170.9 1695 1866 21.98% 27.38% 50.64%-0.53 +1.2 9
2026-09-19 @ Odense D 1-170.9 1866 1695 50.64% 27.38% 21.98%+0.53 -1.1 19
2026-09-20 Aarhus GF D 2-276.6 1719 1781 34.75% 29.46% 35.79%-0.02 +0.0 11
2026-09-20 @ Horsens D 2-276.6 1781 1719 35.79% 29.46% 34.75%+0.02 -0.0 5
2026-09-20 FC Copenhagen L 0-158.1 1749 1869 27.33% 28.83% 43.83%-0.28 -5.8 13
2026-09-20 @ Brondby W 1-058.1 1869 1749 43.83% 28.83% 27.33%+0.28 +5.8 24
2026-09-20 Randers W 4-266.3 1684 1716 39.03% 29.34% 31.62%+0.12 +9.5 5
2026-09-20 @ Sonderjyske L 2-466.3 1716 1684 31.62% 29.34% 39.03%-0.12 -9.5 10
2026-09-20 Nordsjaelland W 4-160.8 1779 1822 37.40% 29.43% 33.17%+0.07 +15.6 17
2026-09-20 @ Viborg L 1-460.8 1822 1779 33.17% 29.43% 37.40%-0.07 -15.6 17

Upcoming Games

Remaining games on the team's schedule

Date Opponent Pre Elo Opp Elo Win % Tie % Loss %Proj. MarginExcitement
2026-10-11 Sonderjyske 1781 1693 54.74% 26.09% 19.17%+0.6856.2
2026-10-11 @ Aarhus GF 1693 1781 19.17% 26.09% 54.74%-0.6856.2
2026-10-11 Lyngby 1743 1699 49.32% 27.73% 22.95%+0.4863.5
2026-10-11 @ Brondby 1699 1743 22.95% 27.73% 49.32%-0.4863.5
2026-10-11 FC Copenhagen 1865 1874 42.24% 29.05% 28.71%+0.2382.2
2026-10-11 @ Midtjylland 1874 1865 28.71% 29.05% 42.24%-0.2382.2
2026-10-11 Odense 1807 1696 57.46% 25.06% 17.48%+0.7951.4
2026-10-11 @ Nordsjaelland 1696 1807 17.48% 25.06% 57.46%-0.7951.4
2026-10-11 Viborg 1706 1794 31.19% 29.31% 39.50%-0.1460.8
2026-10-11 @ Randers 1794 1706 39.50% 29.31% 31.19%+0.1460.8
2026-10-11 Horsens 1718 1719 43.41% 28.90% 27.70%+0.2774.1
2026-10-11 @ Silkeborg 1719 1718 27.70% 28.90% 43.41%-0.2774.1
2026-10-18 Randers 1719 1706 45.17% 28.62% 26.21%+0.3371.7
2026-10-18 @ Horsens 1706 1719 26.21% 28.62% 45.17%-0.3371.7
2026-10-18 Aarhus GF 1874 1781 55.50% 25.82% 18.69%+0.7164.7
2026-10-18 @ FC Copenhagen 1781 1874 18.69% 25.82% 55.50%-0.7164.7
2026-10-18 Nordsjaelland 1699 1807 28.77% 29.06% 42.17%-0.2355.8
2026-10-18 @ Lyngby 1807 1699 42.17% 29.06% 28.77%+0.2355.8
2026-10-18 Brondby 1696 1743 36.92% 29.44% 33.63%+0.0562.6
2026-10-18 @ Odense 1743 1696 33.63% 29.44% 36.92%-0.0562.6
2026-10-18 Silkeborg 1693 1718 40.06% 29.27% 30.67%+0.1668.7
2026-10-18 @ Sonderjyske 1718 1693 30.67% 29.27% 40.06%-0.1668.7
2026-10-18 Midtjylland 1794 1865 33.51% 29.44% 37.05%-0.0669.4
2026-10-18 @ Viborg 1865 1794 37.05% 29.44% 33.51%+0.0669.4
2026-10-25 Viborg 1781 1794 41.61% 29.12% 29.27%+0.2172.4
2026-10-25 @ Aarhus GF 1794 1781 29.27% 29.12% 41.61%-0.2172.4
2026-10-25 Sonderjyske 1719 1693 46.90% 28.29% 24.81%+0.3970.8
2026-10-25 @ Horsens 1693 1719 24.81% 28.29% 46.90%-0.3970.8
2026-10-25 Odense 1874 1696 65.00% 21.61% 13.39%+1.1051.4
2026-10-25 @ FC Copenhagen 1696 1874 13.39% 21.61% 65.00%-1.1051.4
2026-10-25 Lyngby 1865 1699 63.71% 22.26% 14.03%+1.0548.8
2026-10-25 @ Midtjylland 1699 1865 14.03% 22.26% 63.71%-1.0548.8
2026-10-25 Brondby 1706 1743 38.33% 29.39% 32.29%+0.1066.4
2026-10-25 @ Randers 1743 1706 32.29% 29.39% 38.33%-0.1066.4
2026-10-25 Nordsjaelland 1718 1807 31.12% 29.31% 39.57%-0.1460.8
2026-10-25 @ Silkeborg 1807 1718 39.57% 29.31% 31.12%+0.1460.8
2026-11-01 Aarhus GF 1743 1781 38.28% 29.39% 32.33%+0.1066.6
2026-11-01 @ Brondby 1781 1743 32.33% 29.39% 38.28%-0.1066.6
2026-11-01 Midtjylland 1807 1865 35.25% 29.46% 35.29%+0.0070.8
2026-11-01 @ Nordsjaelland 1865 1807 35.29% 29.46% 35.25%+0.0070.8
2026-11-01 Randers 1699 1706 42.55% 29.01% 28.44%+0.2468.2
2026-11-01 @ Lyngby 1706 1699 28.44% 29.01% 42.55%-0.2468.2
2026-11-01 Silkeborg 1696 1718 40.50% 29.23% 30.27%+0.1766.0
2026-11-01 @ Odense 1718 1696 30.27% 29.23% 40.50%-0.1766.0
2026-11-01 FC Copenhagen 1693 1874 21.09% 27.02% 51.89%-0.5756.9
2026-11-01 @ Sonderjyske 1874 1693 51.89% 27.02% 21.09%+0.5756.9
2026-11-01 Horsens 1794 1719 53.31% 26.57% 20.11%+0.6364.9
2026-11-01 @ Viborg 1719 1794 20.11% 26.57% 53.31%-0.6364.9
2026-11-08 Horsens 1781 1719 51.61% 27.10% 21.28%+0.5663.9
2026-11-08 @ Aarhus GF 1719 1781 21.28% 27.10% 51.61%-0.5663.9
2026-11-08 Brondby 1874 1743 59.86% 24.06% 16.09%+0.8859.1
2026-11-08 @ FC Copenhagen 1743 1874 16.09% 24.06% 59.86%-0.8859.1
2026-11-08 Sonderjyske 1865 1693 64.37% 21.93% 13.70%+1.0750.1
2026-11-08 @ Midtjylland 1693 1865 13.70% 21.93% 64.37%-1.0750.1
2026-11-08 Viborg 1696 1794 29.92% 29.20% 40.88%-0.1856.4
2026-11-08 @ Odense 1794 1696 40.88% 29.20% 29.92%+0.1856.4
2026-11-08 Nordsjaelland 1706 1807 29.62% 29.16% 41.22%-0.2057.8
2026-11-08 @ Randers 1807 1706 41.22% 29.16% 29.62%+0.2057.8
2026-11-08 Lyngby 1718 1699 46.01% 28.46% 25.53%+0.3667.3
2026-11-08 @ Silkeborg 1699 1718 25.53% 28.46% 46.01%-0.3667.3
2026-11-22 Lyngby 1781 1699 54.00% 26.35% 19.65%+0.6555.8
2026-11-22 @ Aarhus GF 1699 1781 19.65% 26.35% 54.00%-0.6555.8
2026-11-22 Silkeborg 1719 1718 43.57% 28.87% 27.55%+0.2874.1
2026-11-22 @ Horsens 1718 1719 27.55% 28.87% 43.57%-0.2874.1
2026-11-22 Midtjylland 1743 1865 27.04% 28.78% 44.18%-0.3058.5
2026-11-22 @ Brondby 1865 1743 44.18% 28.78% 27.04%+0.3058.5
2026-11-22 FC Copenhagen 1807 1874 33.95% 29.45% 36.60%-0.0472.8
2026-11-22 @ Nordsjaelland 1874 1807 36.60% 29.45% 33.95%+0.0472.8
2026-11-22 Odense 1693 1696 43.06% 28.94% 27.99%+0.2667.7
2026-11-22 @ Sonderjyske 1696 1693 27.99% 28.94% 43.06%-0.2667.7
2026-11-22 Randers 1794 1706 54.83% 26.06% 19.11%+0.6858.8
2026-11-22 @ Viborg 1706 1794 19.11% 26.06% 54.83%-0.6858.8
2026-11-29 Midtjylland 1874 1865 44.73% 28.69% 26.58%+0.3182.0
2026-11-29 @ FC Copenhagen 1865 1874 26.58% 28.69% 44.73%-0.3182.0
2026-11-29 Viborg 1699 1794 30.30% 29.24% 40.46%-0.1758.7
2026-11-29 @ Lyngby 1794 1699 40.46% 29.24% 30.30%+0.1758.7
2026-11-29 Nordsjaelland 1696 1807 28.41% 29.01% 42.58%-0.2453.7
2026-11-29 @ Odense 1807 1696 42.58% 29.01% 28.41%+0.2453.7
2026-11-29 Horsens 1706 1719 41.78% 29.10% 29.12%+0.2172.0
2026-11-29 @ Randers 1719 1706 29.12% 29.10% 41.78%-0.2172.0
2026-11-29 Aarhus GF 1718 1781 34.67% 29.46% 35.87%-0.0262.5
2026-11-29 @ Silkeborg 1781 1718 35.87% 29.46% 34.67%+0.0262.5
2026-11-29 Brondby 1693 1743 36.48% 29.45% 34.07%+0.0465.2
2026-11-29 @ Sonderjyske 1743 1693 34.07% 29.45% 36.48%-0.0465.2
2026-12-06 Randers 1781 1706 53.16% 26.62% 20.22%+0.6257.9
2026-12-06 @ Aarhus GF 1706 1781 20.22% 26.62% 53.16%-0.6257.9
2026-12-06 FC Copenhagen 1719 1874 23.45% 27.90% 48.66%-0.4560.3
2026-12-06 @ Horsens 1874 1719 48.66% 27.90% 23.45%+0.4560.3
2026-12-06 Odense 1743 1696 49.70% 27.64% 22.67%+0.4961.5
2026-12-06 @ Brondby 1696 1743 22.67% 27.64% 49.70%-0.4961.5
2026-12-06 Silkeborg 1865 1718 61.67% 23.24% 15.09%+0.9652.6
2026-12-06 @ Midtjylland 1718 1865 15.09% 23.24% 61.67%-0.9652.6
2026-12-06 Lyngby 1807 1699 57.11% 25.20% 17.69%+0.7753.5
2026-12-06 @ Nordsjaelland 1699 1807 17.69% 25.20% 57.11%-0.7753.5
2026-12-06 Sonderjyske 1794 1693 56.38% 25.49% 18.13%+0.7457.3
2026-12-06 @ Viborg 1693 1794 18.13% 25.49% 56.38%-0.7457.3
2027-02-21 Viborg 1874 1794 53.84% 26.40% 19.76%+0.6569.2
2027-02-21 @ FC Copenhagen 1794 1874 19.76% 26.40% 53.84%-0.6569.2
2027-02-21 Odense 1865 1696 64.03% 22.10% 13.87%+1.0646.7
2027-02-21 @ Midtjylland 1696 1865 13.87% 22.10% 64.03%-1.0646.7
2027-02-21 Horsens 1807 1719 54.81% 26.06% 19.12%+0.6861.7
2027-02-21 @ Nordsjaelland 1719 1807 19.12% 26.06% 54.81%-0.6861.7
2027-02-21 Brondby 1699 1743 37.35% 29.43% 33.22%+0.0764.5
2027-02-21 @ Lyngby 1743 1699 33.22% 29.43% 37.35%-0.0764.5
2027-02-21 Randers 1718 1706 45.09% 28.63% 26.28%+0.3369.1
2027-02-21 @ Silkeborg 1706 1718 26.28% 28.63% 45.09%-0.3369.1
2027-02-21 Aarhus GF 1693 1781 31.28% 29.32% 39.40%-0.1358.1
2027-02-21 @ Sonderjyske 1781 1693 39.40% 29.32% 31.28%+0.1358.1
2027-02-28 FC Copenhagen 1781 1874 30.47% 29.25% 40.28%-0.1666.8
2027-02-28 @ Aarhus GF 1874 1781 40.28% 29.25% 30.47%+0.1666.8
2027-02-28 Midtjylland 1719 1865 24.36% 28.17% 47.47%-0.4158.0
2027-02-28 @ Horsens 1865 1719 47.47% 28.17% 24.36%+0.4158.0
2027-02-28 Nordsjaelland 1743 1807 34.56% 29.46% 35.98%-0.0265.3
2027-02-28 @ Brondby 1807 1743 35.98% 29.46% 34.56%+0.0265.3
2027-02-28 Lyngby 1696 1699 43.08% 28.94% 27.98%+0.2666.6
2027-02-28 @ Odense 1699 1696 27.98% 28.94% 43.08%-0.2666.6
2027-02-28 Sonderjyske 1706 1693 45.25% 28.60% 26.15%+0.3368.8
2027-02-28 @ Randers 1693 1706 26.15% 28.60% 45.25%-0.3368.8
2027-02-28 Silkeborg 1794 1718 53.39% 26.55% 20.06%+0.6362.1
2027-02-28 @ Viborg 1718 1794 20.06% 26.55% 53.39%-0.6362.1
2027-03-07 Randers 1874 1706 63.95% 22.14% 13.91%+1.0654.3
2027-03-07 @ FC Copenhagen 1706 1874 13.91% 22.14% 63.95%-1.0654.3
2027-03-07 Viborg 1865 1794 52.72% 26.76% 20.51%+0.6067.7
2027-03-07 @ Midtjylland 1794 1865 20.51% 26.76% 52.72%-0.6067.7
2027-03-07 Sonderjyske 1807 1693 57.83% 24.92% 17.26%+0.8054.3
2027-03-07 @ Nordsjaelland 1693 1807 17.26% 24.92% 57.83%-0.8054.3
2027-03-07 Horsens 1699 1719 40.83% 29.20% 29.97%+0.1870.3
2027-03-07 @ Lyngby 1719 1699 29.97% 29.20% 40.83%-0.1870.3
2027-03-07 Aarhus GF 1696 1781 31.69% 29.35% 38.96%-0.1255.8
2027-03-07 @ Odense 1781 1696 38.96% 29.35% 31.69%+0.1255.8
2027-03-07 Brondby 1718 1743 39.99% 29.28% 30.73%+0.1568.9
2027-03-07 @ Silkeborg 1743 1718 30.73% 29.28% 39.99%-0.1568.9
2027-03-14 Nordsjaelland 1781 1807 39.89% 29.28% 30.83%+0.1570.1
2027-03-14 @ Aarhus GF 1807 1781 30.83% 29.28% 39.89%-0.1570.1
2027-03-14 Odense 1719 1696 46.49% 28.37% 25.14%+0.3867.6
2027-03-14 @ Horsens 1696 1719 25.14% 28.37% 46.49%-0.3867.6
2027-03-14 Silkeborg 1874 1718 62.67% 22.77% 14.56%+1.0056.1
2027-03-14 @ FC Copenhagen 1718 1874 14.56% 22.77% 62.67%-1.0056.1
2027-03-14 Midtjylland 1706 1865 23.12% 27.79% 49.09%-0.4753.3
2027-03-14 @ Randers 1865 1706 49.09% 27.79% 23.12%+0.4753.3
2027-03-14 Lyngby 1693 1699 42.65% 29.00% 28.35%+0.2468.9
2027-03-14 @ Sonderjyske 1699 1693 28.35% 29.00% 42.65%-0.2468.9
2027-03-14 Brondby 1794 1743 50.23% 27.49% 22.27%+0.5167.0
2027-03-14 @ Viborg 1743 1794 22.27% 27.49% 50.23%-0.5167.0
2027-03-21 Horsens 1743 1719 46.80% 28.31% 24.89%+0.3971.1
2027-03-21 @ Brondby 1719 1743 24.89% 28.31% 46.80%-0.3971.1
2027-03-21 Aarhus GF 1865 1781 54.40% 26.21% 19.39%+0.6761.7
2027-03-21 @ Midtjylland 1781 1865 19.39% 26.21% 54.40%-0.6761.7
2027-03-21 Viborg 1807 1794 45.16% 28.62% 26.22%+0.3375.1
2027-03-21 @ Nordsjaelland 1794 1807 26.22% 28.62% 45.16%-0.3375.1
2027-03-21 FC Copenhagen 1699 1874 21.63% 27.25% 51.12%-0.5456.1
2027-03-21 @ Lyngby 1874 1699 51.12% 27.25% 21.63%+0.5456.1
2027-03-21 Randers 1696 1706 42.14% 29.06% 28.80%+0.2366.6
2027-03-21 @ Odense 1706 1696 28.80% 29.06% 42.14%-0.2366.6
2027-03-21 Sonderjyske 1718 1693 46.82% 28.30% 24.88%+0.3968.1
2027-03-21 @ Silkeborg 1693 1718 24.88% 28.30% 46.82%-0.3968.1

Biggest Upsets

The 25 games where the underdog won despite the lowest pregame win probability. Underdog Win % is the winner's pregame chance of winning the game (lower = bigger upset). @ before a team name indicates the away side. An asterisk (*) after the date marks a playoff game.

# Date Underdog Win % Winning Team Losing Team
Team Elo Score Team Elo Score
1 2026-09-06 19.09% Randers 1697 3 @ Brondby 1786 0
2 2026-09-04 19.53% Lyngby 1715 2 @ Viborg 1798 0
3 2026-09-18 22.68% Silkeborg 1685 4 @ Lyngby 1732 0
4 2026-09-13 23.58% Odense 1687 2 @ Randers 1724 1
5 2026-08-16 25.70% Horsens 1701 2 @ Odense 1718 1
6 2026-08-30 26.68% @ Randers 1689 2 Aarhus GF 1814 1
7 2026-09-06 28.87% Horsens 1709 5 @ Sonderjyske 1699 2
8 2026-08-23 32.01% @ Viborg 1765 4 FC Copenhagen 1847 0
9 2026-09-02 32.32% Midtjylland 1844 2 @ Aarhus GF 1806 0
10 2026-08-14 34.41% @ Viborg 1758 2 Aarhus GF 1822 1
11 2026-08-09 34.86% Brondby 1770 2 @ Horsens 1715 0

Biggest Elo Changes

The 25 games that resulted in the largest shift in Elo rating.

# Date Elo Δ Winning Team Losing Team Tie %
Team Score Elo Win % Team Score Elo Win %
1 2026-09-18 32.71 Silkeborg 4 1685 22.68% @ Lyngby 0 1732 49.68% 27.64%
2 2026-09-06 27.08 Randers 3 1697 19.09% @ Brondby 0 1786 54.87% 26.04%
3 2026-08-23 26.98 @ Viborg 4 1765 32.01% FC Copenhagen 0 1847 38.62% 29.37%
4 2026-09-06 25.30 FC Copenhagen 5 1837 44.54% @ Odense 0 1712 26.74% 28.72%
5 2026-08-16 21.49 FC Copenhagen 4 1825 42.68% @ Randers 0 1714 28.32% 28.99%
6 2026-08-23 18.66 Nordsjaelland 3 1795 37.05% @ Sonderjyske 0 1724 33.51% 29.44%
7 2026-09-04 18.47 Lyngby 2 1715 19.53% @ Viborg 0 1798 54.19% 26.28%
8 2026-09-06 16.08 Horsens 5 1709 28.87% @ Sonderjyske 2 1699 42.06% 29.07%
9 2026-09-20 15.62 @ Viborg 4 1779 37.40% Nordsjaelland 1 1822 33.17% 29.43%
10 2026-09-02 14.14 Midtjylland 2 1844 32.32% @ Aarhus GF 0 1806 38.29% 29.39%
11 2026-08-09 13.44 Brondby 2 1770 34.86% @ Horsens 0 1715 35.68% 29.46%
12 2026-08-09 12.28 @ Randers 2 1702 39.18% Lyngby 0 1733 31.49% 29.34%
13 2026-09-03 10.97 @ FC Copenhagen 2 1826 43.98% Nordsjaelland 0 1822 27.21% 28.81%
14 2026-09-13 10.34 @ Nordsjaelland 2 1812 46.31% Aarhus GF 0 1791 25.28% 28.41%
15 2026-08-02 9.54 FC Copenhagen 3 1816 43.80% @ Silkeborg 1 1696 27.36% 28.84%
16 2026-09-20 9.54 @ Sonderjyske 4 1684 39.03% Randers 2 1716 31.62% 29.34%
17 2026-09-14 9.41 @ Midtjylland 4 1857 56.07% Brondby 1 1759 18.33% 25.61%
18 2026-08-30 9.03 @ Nordsjaelland 3 1813 45.98% Brondby 1 1795 25.55% 28.47%
19 2026-09-13 8.45 Odense 2 1687 23.58% @ Randers 1 1724 48.48% 27.94%
20 2026-08-16 8.09 Horsens 2 1701 25.70% @ Odense 1 1718 45.80% 28.50%
21 2026-08-30 7.93 @ Randers 2 1689 26.68% Aarhus GF 1 1814 44.60% 28.71%
22 2026-08-14 6.78 @ Viborg 2 1758 34.41% Aarhus GF 1 1822 36.13% 29.46%
23 2026-08-10 6.66 @ Silkeborg 1 1687 38.16% Odense 0 1725 32.44% 29.39%
24 2026-08-24 6.65 @ Brondby 3 1788 56.09% Silkeborg 1 1689 18.31% 25.60%
25 2026-09-11 6.54 @ FC Copenhagen 2 1862 60.51% Horsens 0 1725 15.72% 23.77%

Most & Least Exciting Games

The season’s games ranked by excitement rating (0–100) — a blend of closeness, upset, team quality, and scoring. An asterisk (*) after the date indicates a playoff game.

# Date Excitement Winning Team Losing Team Tie %
Team Score Elo Win % Team Score Elo Win %
1 2026-08-23 77.9 @ Aarhus GF 2 1816 56.87% Odense 2 1710 17.83% 25.30%
2 2026-09-05 77.8 @ Aarhus GF 2 1792 57.25% Silkeborg 2 1684 17.60% 25.15%
3 2026-09-07 77.4 @ Midtjylland 2 1858 49.67% Nordsjaelland 2 1811 22.69% 27.64%
4 2026-08-01 76.8 @ Lyngby 2 1733 30.94% Aarhus GF 2 1823 39.76% 29.29%
5 2026-09-20 76.6 @ Horsens 2 1719 34.75% Aarhus GF 2 1781 35.79% 29.46%
6 2026-08-28 71.3 Viborg 3 1792 37.85% @ Horsens 2 1715 32.74% 29.41%
7 2026-07-25 71.1 @ Aarhus GF 1 1824 51.43% Brondby 1 1763 21.41% 27.16%
8 2026-09-19 70.9 @ Odense 1 1695 21.98% Midtjylland 1 1866 50.64% 27.38%
9 2026-07-26 70.8 Midtjylland 3 1833 40.15% @ Sonderjyske 2 1740 30.59% 29.26%
10 2026-08-30 70.8 @ Silkeborg 1 1683 22.83% Midtjylland 1 1845 49.47% 27.69%
11 2026-08-16 70.5 @ Lyngby 1 1721 27.08% Midtjylland 1 1842 44.13% 28.79%
12 2026-09-13 70.4 @ Lyngby 1 1733 50.17% Sonderjyske 1 1683 22.32% 27.51%
13 2026-07-26 70.2 @ Horsens 1 1718 33.92% Nordsjaelland 1 1786 36.64% 29.45%
14 2026-09-13 70.1 @ Silkeborg 1 1685 30.41% Viborg 1 1779 40.35% 29.25%
15 2026-08-30 70.0 @ Lyngby 1 1715 44.03% Odense 1 1712 27.17% 28.80%
16 2026-07-27 69.9 @ Randers 1 1707 45.01% Silkeborg 1 1696 26.34% 28.64%
17 2026-09-13 69.4 Odense 2 1687 23.58% @ Randers 1 1724 48.48% 27.94%
18 2026-08-30 68.9 @ Randers 2 1689 26.68% Aarhus GF 1 1814 44.60% 28.71%
19 2026-08-16 68.8 Horsens 2 1701 25.70% @ Odense 1 1718 45.80% 28.50%
20 2026-08-17 67.5 @ Brondby 3 1784 50.83% Sonderjyske 2 1728 21.84% 27.33%
21 2026-07-26 66.8 @ FC Copenhagen 3 1812 53.22% Lyngby 2 1737 20.18% 26.60%
22 2026-08-14 66.8 @ Viborg 2 1758 34.41% Aarhus GF 1 1822 36.13% 29.46%
23 2026-09-20 66.3 @ Sonderjyske 4 1684 39.03% Randers 2 1716 31.62% 29.34%
24 2026-08-07 65.7 @ Sonderjyske 0 1728 39.43% Viborg 0 1758 31.25% 29.32%
25 2026-09-06 65.5 Horsens 5 1709 28.87% @ Sonderjyske 2 1699 42.06% 29.07%
# Date Excitement Winning Team Losing Team Tie %
Team Score Elo Win % Team Score Elo Win %
1 2026-09-11 49.8 @ FC Copenhagen 2 1862 60.51% Horsens 0 1725 15.72% 23.77%
2 2026-08-23 52.6 @ Midtjylland 1 1842 61.85% Randers 0 1693 14.99% 23.15%
3 2026-08-16 53.4 FC Copenhagen 4 1825 42.68% @ Randers 0 1714 28.32% 28.99%
4 2026-09-06 53.7 FC Copenhagen 5 1837 44.54% @ Odense 0 1712 26.74% 28.72%
5 2026-09-13 54.1 @ Nordsjaelland 2 1812 46.31% Aarhus GF 0 1791 25.28% 28.41%
6 2026-08-16 54.2 @ Nordsjaelland 1 1790 55.88% Silkeborg 0 1694 18.44% 25.67%
7 2026-09-03 54.8 @ FC Copenhagen 2 1826 43.98% Nordsjaelland 0 1822 27.21% 28.81%
8 2026-08-02 54.9 @ Nordsjaelland 1 1786 53.82% Randers 0 1706 19.77% 26.41%
9 2026-08-23 54.9 Nordsjaelland 3 1795 37.05% @ Sonderjyske 0 1724 33.51% 29.44%
10 2026-09-14 55.2 @ Midtjylland 4 1857 56.07% Brondby 1 1759 18.33% 25.61%
11 2026-08-09 55.7 @ Randers 2 1702 39.18% Lyngby 0 1733 31.49% 29.34%
12 2026-07-24 56.6 @ Viborg 1 1758 48.05% Odense 0 1724 23.92% 28.04%
13 2026-08-23 56.7 @ Viborg 4 1765 32.01% FC Copenhagen 0 1847 38.62% 29.37%
14 2026-08-31 56.8 @ FC Copenhagen 3 1820 57.96% Sonderjyske 1 1705 17.18% 24.86%
15 2026-08-09 57.2 Brondby 2 1770 34.86% @ Horsens 0 1715 35.68% 29.46%
16 2026-08-24 57.2 @ Brondby 3 1788 56.09% Silkeborg 1 1689 18.31% 25.60%
17 2026-08-02 58.0 @ Brondby 1 1764 43.63% Viborg 0 1763 27.51% 28.86%
18 2026-09-20 58.1 FC Copenhagen 1 1869 43.83% @ Brondby 0 1749 27.33% 28.83%
19 2026-09-02 58.3 Midtjylland 2 1844 32.32% @ Aarhus GF 0 1806 38.29% 29.39%
20 2026-08-03 58.4 @ Odense 1 1719 41.34% Sonderjyske 0 1734 29.51% 29.15%
21 2026-09-18 58.9 Silkeborg 4 1685 22.68% @ Lyngby 0 1732 49.68% 27.64%
22 2026-08-10 59.2 @ Silkeborg 1 1687 38.16% Odense 0 1725 32.44% 29.39%
23 2026-08-02 59.5 @ Midtjylland 2 1839 58.64% Horsens 1 1718 16.78% 24.58%
24 2026-09-06 60.2 Randers 3 1697 19.09% @ Brondby 0 1786 54.87% 26.04%
25 2026-08-30 60.6 @ Nordsjaelland 3 1813 45.98% Brondby 1 1795 25.55% 28.47%