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2019 Eliteserien Season

240 games

Final

Champion

Molde

68 points

Relegated

No relegation

Biggest Overachiever

Molde

12.36 points above expected

68 points · 55.64 expected points

Biggest Disappointment

Sarpsborg 08

9.24 points below expected

30 points · 39.24 expected points

League Table

The final standings for the season. vsSim shows actual points minus the simulation's mean — positive means the team overachieved against the model, negative means they underperformed.

# Team GP W D L Pts GF GA GD SimPts vsSim
1 Molde 30 21 5 4 68 72 31 +41 55.64 +12.36
2 Bodo Glimt 30 15 9 6 54 64 44 +20 44.65 +9.35
3 Rosenborg 30 14 10 6 52 53 41 +12 49.55 +2.45
4 Odds 30 15 7 8 52 45 40 +5 42.60 +9.40
5 Viking 30 13 8 9 47 55 42 +13 39.92 +7.08
6 Kristiansund 30 11 8 11 41 41 41 0 40.70 +0.30
7 Haugesund 30 9 13 8 40 44 37 +7 43.18 -3.18
8 Stabaek 30 10 10 10 40 38 36 +2 37.64 +2.36
9 Brann 30 10 10 10 40 32 37 -5 44.22 -4.22
10 Valerenga 30 8 10 12 34 39 44 -5 40.47 -6.47
11 Stromsgodset 30 8 8 14 32 41 54 -13 34.97 -2.97
12 Sarpsborg 08 30 5 15 10 30 30 40 -10 39.24 -9.24
13 Mjondalen 30 6 12 12 30 38 52 -14 34.67 -4.67
14 Lillestrom 30 7 9 14 30 32 47 -15 35.90 -5.90
15 Tromso 30 8 6 16 30 39 58 -19 33.56 -3.56
16 Ranheim 30 7 6 17 27 36 55 -19 32.03 -5.03

Form

Each team's 5-game rolling points-per-game across the season. Hot streaks push above the dashed 1.5 PPG reference line; cold spells drop below. Each team gets a distinct color; the legend below the plot lets you read off which line is which. (First 4 games of each team have no rolling window, so the lines start at game 5.)

League Race

Cumulative points across the season for each team. Highlighted teams are drawn in color (top finishers for the Title Race, bottom finishers for the Relegation Race); the rest of the league appears in light gray as context. Switch views with the buttons below.

Season Summary

Every team's regular-season finish compared against 100,000 simulations. Click any column header to sort. Luck is the team's actual points minus the sim's mean — positive means the team beat the model. Percentile is where the actual result fell in the team's sim distribution (e.g. 90% = the team did this well or better in only 10% of sims).

Team Elo Points Avg Luck Percentile Min 5th Q1 Median Q3 95th Max
Molde 1773 68 55.64 +12.36 97.5% 31 45 51 56 60 66 78
Rosenborg 1691 52 49.55 +2.45 67.5% 21 39 45 50 54 61 74
Bodo Glimt 1650 54 44.65 +9.35 92.5% 23 34 40 45 49 56 71
Viking 1642 47 39.92 +7.08 87.2% 12 29 35 40 44 51 66
Haugesund 1617 40 43.18 -3.18 35.2% 19 32 39 43 48 54 69
Stabaek 1600 40 37.64 +2.36 67.5% 15 27 33 37 42 49 66
Odds 1588 52 42.60 +9.40 93.0% 21 32 38 43 47 54 68
Kristiansund 1569 41 40.70 +0.30 55.6% 14 30 36 41 45 52 67
Brann 1556 40 44.22 -4.22 29.0% 17 33 40 44 49 55 69
Stromsgodset 1544 32 34.97 -2.97 35.7% 10 24 30 35 39 46 63
Sarpsborg 08 1538 30 39.24 -9.24 9.1% 14 29 35 39 44 50 66
Valerenga 1531 34 40.47 -6.47 18.4% 14 30 36 40 45 51 63
Tromso 1513 30 33.56 -3.56 32.0% 11 23 29 34 38 44 57
Mjondalen 1510 30 34.67 -4.67 27.2% 13 24 30 35 39 46 61
Lillestrom 1506 30 35.90 -5.90 20.4% 12 25 31 36 40 47 62
Ranheim 1464 27 32.03 -5.03 24.4% 10 22 28 32 36 43 58

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 BG BRA HAU KRI LIL MJO MOL ODD RAN ROS S0 STA STR TRO VAL VIK
Bodo Glimt —
0-1-1
2.75
0-2-0
2.85
2-0-0
2.99
1-1-0
3.24
1-1-0
3.30
1-0-1
2.05
1-0-1
2.86
1-1-0
3.59
1-0-1
2.12
0-2-0
3.01
0-1-1
3.15
2-0-0
3.26
2-0-0
3.49
1-0-1
2.89
2-0-0
3.07
Brann
1-1-0
2.63
 —
0-2-0
2.72
1-0-1
2.90
2-0-0
3.20
0-1-1
3.40
0-2-0
1.88
1-0-1
2.91
1-0-1
3.45
0-1-1
2.51
1-1-0
3.07
2-0-0
3.09
0-1-1
3.30
1-0-1
3.38
0-1-1
3.14
0-0-2
2.71
Haugesund
0-2-0
2.57
0-2-0
2.70
 —
0-2-0
2.77
0-0-2
3.25
1-1-0
3.27
0-0-2
1.99
1-0-1
2.81
1-0-1
3.40
2-0-0
2.26
0-2-0
2.97
1-1-0
3.16
0-1-1
3.11
1-1-0
3.32
1-0-1
2.85
1-1-0
2.73
Kristiansund
0-0-2
2.41
1-0-1
2.49
0-2-0
2.63
 —
1-1-0
3.06
1-1-0
3.07
1-0-1
1.80
0-1-1
2.68
1-1-0
3.28
0-1-1
2.11
2-0-0
2.71
0-0-2
3.11
1-0-1
2.81
1-0-1
3.34
1-1-0
2.53
1-0-1
2.66
Lillestrom
0-1-1
2.15
0-0-2
2.21
2-0-0
2.16
0-1-1
2.33
 —
1-1-0
2.63
0-0-2
1.74
0-0-2
2.26
1-0-1
3.01
0-1-1
1.93
0-1-1
2.49
0-1-1
2.48
1-1-0
2.93
1-1-0
2.83
1-1-0
2.42
0-0-2
2.42
Mjondalen
0-1-1
2.16
1-1-0
2.01
0-1-1
2.14
0-1-1
2.31
0-1-1
2.76
 —
0-0-2
1.50
1-0-1
2.10
1-1-0
2.82
0-0-2
1.85
0-2-0
2.36
1-0-1
2.39
1-1-0
2.57
0-2-0
2.86
1-0-1
2.49
0-1-1
2.26
Molde
1-0-1
3.38
0-2-0
3.55
2-0-0
3.46
1-0-1
3.67
2-0-0
3.75
2-0-0
3.98
 —
0-2-0
3.58
2-0-0
4.11
1-0-1
3.14
1-1-0
3.43
2-0-0
3.77
2-0-0
4.03
1-0-1
4.18
2-0-0
3.82
2-0-0
3.76
Odds
1-0-1
2.52
1-0-1
2.47
1-0-1
2.57
1-1-0
2.71
2-0-0
3.14
1-0-1
3.31
0-2-0
1.86
 —
1-0-1
3.58
0-2-0
2.17
1-0-1
3.11
1-1-0
2.99
2-0-0
3.19
2-0-0
3.23
0-1-1
2.97
1-0-1
2.93
Ranheim
0-1-1
1.83
1-0-1
1.97
1-0-1
2.04
0-1-1
2.12
1-0-1
2.38
0-1-1
2.58
0-0-2
1.39
1-0-1
1.84
 —
0-0-2
1.67
1-0-1
2.28
0-1-1
2.31
1-0-1
2.54
0-0-2
2.54
0-1-1
2.28
1-1-0
2.25
Rosenborg
1-0-1
3.27
1-1-0
2.90
0-0-2
3.13
1-1-0
3.29
1-1-0
3.51
2-0-0
3.57
1-0-1
2.25
0-2-0
3.24
2-0-0
3.83
 —
1-1-0
3.25
1-0-1
3.52
0-2-0
3.68
1-0-1
3.70
1-1-0
3.15
1-1-0
3.23
Sarpsborg 08
0-2-0
2.36
0-1-1
2.31
0-2-0
2.41
0-0-2
2.68
1-1-0
2.90
0-2-0
3.04
0-1-1
2.03
1-0-1
2.29
1-0-1
3.13
0-1-1
2.14
 —
0-2-0
2.70
0-1-1
3.10
1-0-1
3.05
1-1-0
2.49
0-1-1
2.68
Stabaek
1-1-0
2.27
0-0-2
2.32
0-1-1
2.23
2-0-0
2.30
1-1-0
2.90
1-0-1
3.03
0-0-2
1.68
0-1-1
2.41
1-1-0
3.06
1-0-1
1.91
0-2-0
2.68
 —
2-0-0
2.91
0-1-1
3.11
1-1-0
2.36
0-1-1
2.41
Stromsgodset
0-0-2
2.13
1-1-0
2.09
1-1-0
2.32
1-0-1
2.60
0-1-1
2.45
0-1-1
2.84
0-0-2
1.49
0-0-2
2.19
1-0-1
2.84
0-2-0
1.75
1-1-0
2.29
0-0-2
2.50
 —
2-0-0
2.83
1-0-1
2.01
0-1-1
2.60
Tromso
0-0-2
1.95
1-0-1
2.06
0-1-1
2.09
1-0-1
2.06
0-1-1
2.55
0-2-0
2.52
1-0-1
1.35
0-0-2
2.18
2-0-0
2.85
1-0-1
1.76
1-0-1
2.34
1-1-0
2.27
0-0-2
2.58
 —
0-1-1
2.52
0-0-2
2.46
Valerenga
1-0-1
2.49
1-1-0
2.24
1-0-1
2.57
0-1-1
2.86
0-1-1
3.02
1-0-1
2.90
0-0-2
1.63
1-1-0
2.44
1-1-0
3.12
0-1-1
2.24
0-1-1
2.88
0-1-1
3.01
1-0-1
3.38
1-1-0
2.86
 —
0-1-1
2.84
Viking
0-0-2
2.35
2-0-0
2.65
0-1-1
2.64
1-0-1
2.70
2-0-0
2.99
1-1-0
3.16
0-0-2
1.69
1-0-1
2.45
0-1-1
3.15
0-1-1
2.18
1-1-0
2.70
1-1-0
2.97
1-1-0
2.81
2-0-0
2.98
1-1-0
2.54
 —

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 0.78 +8.6
Allowed 0.46 -10.3
Differential 0.92 +6.8

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
08.33%5.83%5.42%2.71%2.08%0.62%25.00%
15.83%15.42%6.88%2.71%1.46%1.25%33.54%
25.42%6.88%5.42%3.75%1.04%0.62%23.12%
32.71%2.71%3.75%1.25%0.21%—10.62%
42.08%1.46%1.04%0.21%—0.21%5.00%
5+0.62%1.25%0.62%—0.21%—2.71%
Total25.00%33.54%23.12%10.62%5.00%2.71%100%

Summary Statistics

Scored Allowed Difference
Mean 1.46 1.46 +0.00
SD 1.27 1.27 1.85
CV 0.87 0.87 —
Max 6 6 +6
Min 0 0 -6

Games Played: 240

↓ Scored | Allowed →012345+Total
06.67%—3.33%——3.33%13.33%
1—16.67%3.33%3.33%——23.33%
26.67%10.00%3.33%3.33%3.33%—26.67%
36.67%3.33%3.33%3.33%——16.67%
410.00%——3.33%——13.33%
5+—3.33%——3.33%—6.67%
Total30.00%33.33%13.33%13.33%6.67%3.33%100%

Summary Statistics

Scored Allowed Difference
Mean 2.13 1.47 +0.67
SD 1.46 1.50 2.17
CV 0.68 1.02 —
Max 5 6 +4
Min 0 0 -6

Games Played: 30

↓ Scored | Allowed →012345+Total
013.33%13.33%———3.33%30.00%
110.00%20.00%6.67%——3.33%40.00%
2—16.67%—6.67%——23.33%
33.33%3.33%————6.67%
4———————
5+———————
Total26.67%53.33%6.67%6.67%—6.67%100%

Summary Statistics

Scored Allowed Difference
Mean 1.07 1.23 -0.17
SD 0.91 1.41 1.66
CV 0.85 1.14 —
Max 3 6 +3
Min 0 0 -6

Games Played: 30

↓ Scored | Allowed →012345+Total
013.33%6.67%3.33%———23.33%
13.33%16.67%3.33%6.67%3.33%—33.33%
26.67%6.67%13.33%3.33%——30.00%
33.33%—————3.33%
4—6.67%————6.67%
5+—3.33%————3.33%
Total26.67%40.00%20.00%10.00%3.33%—100%

Summary Statistics

Scored Allowed Difference
Mean 1.47 1.23 +0.23
SD 1.28 1.07 1.63
CV 0.87 0.87 —
Max 5 4 +4
Min 0 0 -3

Games Played: 30

↓ Scored | Allowed →012345+Total
06.67%6.67%13.33%3.33%—3.33%33.33%
110.00%13.33%10.00%———33.33%
23.33%3.33%6.67%———13.33%
3——6.67%———6.67%
46.67%—3.33%———10.00%
5+——3.33%———3.33%
Total26.67%23.33%43.33%3.33%—3.33%100%

Summary Statistics

Scored Allowed Difference
Mean 1.37 1.37 +0.00
SD 1.45 1.13 1.95
CV 1.06 0.83 —
Max 5 5 +4
Min 0 0 -5

Games Played: 30

↓ Scored | Allowed →012345+Total
010.00%6.67%6.67%6.67%3.33%—33.33%
13.33%16.67%10.00%10.00%——40.00%
23.33%6.67%3.33%——3.33%16.67%
33.33%—3.33%———6.67%
43.33%—————3.33%
5+———————
Total23.33%30.00%23.33%16.67%3.33%3.33%100%

Summary Statistics

Scored Allowed Difference
Mean 1.07 1.57 -0.50
SD 1.05 1.30 1.80
CV 0.98 0.83 —
Max 4 5 +4
Min 0 0 -4

Games Played: 30

↓ Scored | Allowed →012345+Total
013.33%3.33%3.33%—3.33%—23.33%
16.67%20.00%3.33%3.33%6.67%—40.00%
23.33%3.33%6.67%10.00%3.33%—26.67%
3—3.33%3.33%———6.67%
4—————3.33%3.33%
5+———————
Total23.33%30.00%16.67%13.33%13.33%3.33%100%

Summary Statistics

Scored Allowed Difference
Mean 1.27 1.73 -0.47
SD 1.01 1.48 1.41
CV 0.80 0.86 —
Max 4 5 +2
Min 0 0 -4

Games Played: 30

↓ Scored | Allowed →012345+Total
03.33%—————3.33%
13.33%6.67%3.33%3.33%——16.67%
213.33%13.33%6.67%6.67%——40.00%
310.00%6.67%3.33%———20.00%
46.67%3.33%6.67%———16.67%
5+—3.33%————3.33%
Total36.67%33.33%20.00%10.00%——100%

Summary Statistics

Scored Allowed Difference
Mean 2.40 1.03 +1.37
SD 1.16 1.00 1.59
CV 0.48 0.97 —
Max 5 3 +4
Min 0 0 -2

Games Played: 30

↓ Scored | Allowed →012345+Total
03.33%6.67%10.00%3.33%——23.33%
16.67%13.33%——6.67%—26.67%
23.33%16.67%6.67%———26.67%
36.67%6.67%10.00%———23.33%
4———————
5+———————
Total20.00%43.33%26.67%3.33%6.67%—100%

Summary Statistics

Scored Allowed Difference
Mean 1.50 1.33 +0.17
SD 1.11 1.06 1.66
CV 0.74 0.80 —
Max 3 4 +3
Min 0 0 -3

Games Played: 30

↓ Scored | Allowed →012345+Total
06.67%6.67%13.33%3.33%——30.00%
110.00%10.00%10.00%3.33%—6.67%40.00%
2—3.33%3.33%10.00%3.33%—20.00%
3—3.33%————3.33%
4—3.33%————3.33%
5+——3.33%———3.33%
Total16.67%26.67%30.00%16.67%3.33%6.67%100%

Summary Statistics

Scored Allowed Difference
Mean 1.20 1.83 -0.63
SD 1.21 1.37 1.73
CV 1.01 0.75 —
Max 5 5 +3
Min 0 0 -4

Games Played: 30

↓ Scored | Allowed →012345+Total
06.67%3.33%6.67%3.33%——20.00%
110.00%16.67%3.33%3.33%——33.33%
2—3.33%6.67%———10.00%
33.33%6.67%16.67%3.33%——30.00%
4———————
5+—3.33%3.33%———6.67%
Total20.00%33.33%36.67%10.00%——100%

Summary Statistics

Scored Allowed Difference
Mean 1.77 1.37 +0.40
SD 1.43 0.93 1.54
CV 0.81 0.68 —
Max 5 3 +4
Min 0 0 -3

Games Played: 30

↓ Scored | Allowed →012345+Total
010.00%6.67%3.33%3.33%3.33%—26.67%
16.67%30.00%13.33%3.33%——53.33%
26.67%—6.67%———13.33%
3——3.33%3.33%——6.67%
4———————
5+———————
Total23.33%36.67%26.67%10.00%3.33%—100%

Summary Statistics

Scored Allowed Difference
Mean 1.00 1.33 -0.33
SD 0.83 1.06 1.27
CV 0.83 0.80 —
Max 3 4 +2
Min 0 0 -4

Games Played: 30

↓ Scored | Allowed →012345+Total
013.33%10.00%—10.00%——33.33%
13.33%13.33%10.00%———26.67%
216.67%3.33%—3.33%——23.33%
3—6.67%—6.67%——13.33%
4——3.33%———3.33%
5+———————
Total33.33%33.33%13.33%20.00%——100%

Summary Statistics

Scored Allowed Difference
Mean 1.27 1.20 +0.07
SD 1.17 1.13 1.53
CV 0.93 0.94 —
Max 4 3 +2
Min 0 0 -3

Games Played: 30

↓ Scored | Allowed →012345+Total
06.67%3.33%10.00%—10.00%—30.00%
16.67%10.00%10.00%3.33%——30.00%
2—6.67%6.67%10.00%——23.33%
3—3.33%6.67%3.33%——13.33%
4———————
5+3.33%—————3.33%
Total16.67%23.33%33.33%16.67%10.00%—100%

Summary Statistics

Scored Allowed Difference
Mean 1.37 1.80 -0.43
SD 1.35 1.21 1.96
CV 0.99 0.67 —
Max 6 4 +6
Min 0 0 -4

Games Played: 30

↓ Scored | Allowed →012345+Total
03.33%6.67%3.33%3.33%6.67%—23.33%
16.67%10.00%16.67%3.33%3.33%3.33%43.33%
23.33%6.67%6.67%3.33%—3.33%23.33%
3——3.33%———3.33%
4——3.33%———3.33%
5+3.33%—————3.33%
Total16.67%23.33%33.33%10.00%10.00%6.67%100%

Summary Statistics

Scored Allowed Difference
Mean 1.30 1.93 -0.63
SD 1.18 1.44 2.01
CV 0.91 0.74 —
Max 5 5 +5
Min 0 0 -4

Games Played: 30

↓ Scored | Allowed →012345+Total
06.67%6.67%6.67%6.67%6.67%—33.33%
16.67%26.67%3.33%—3.33%—40.00%
26.67%——3.33%3.33%—13.33%
3———————
4—6.67%————6.67%
5+3.33%3.33%————6.67%
Total23.33%43.33%10.00%10.00%13.33%—100%

Summary Statistics

Scored Allowed Difference
Mean 1.30 1.47 -0.17
SD 1.56 1.33 2.31
CV 1.20 0.91 —
Max 6 4 +6
Min 0 0 -4

Games Played: 30

↓ Scored | Allowed →012345+Total
010.00%6.67%3.33%———20.00%
1—6.67%3.33%——6.67%16.67%
213.33%10.00%10.00%—3.33%3.33%40.00%
36.67%———3.33%—10.00%
46.67%3.33%————10.00%
5+—3.33%————3.33%
Total36.67%30.00%16.67%—6.67%10.00%100%

Summary Statistics

Scored Allowed Difference
Mean 1.83 1.40 +0.43
SD 1.34 1.63 2.21
CV 0.73 1.17 —
Max 5 5 +4
Min 0 0 -4

Games Played: 30

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.

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 Molde 68 55.64 +12.36
2 Odds 52 42.60 +9.40
3 Bodo Glimt 54 44.65 +9.35
4 Viking 47 39.92 +7.08
5 Rosenborg 52 49.55 +2.45

Biggest Disappointments

# Team Actual Sim vsSim
1 Sarpsborg 08 30 39.24 -9.24
2 Valerenga 34 40.47 -6.47
3 Lillestrom 30 35.90 -5.90
4 Ranheim 27 32.03 -5.03
5 Mjondalen 30 34.67 -4.67

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 W or D consecutively; Winless counts L or D consecutively.

Most Unlikely Winning Streaks

# Team Games Dates Probability
1 Kristiansund 4 Apr 28 – May 16 1 in 127
2 Tromso 3 May 26 – Jun 23 1 in 84
3 Odds 4 May 5 – May 19 1 in 36
4 Bodo Glimt 4 Jul 13 – Aug 14 1 in 32
5 Brann 3 May 12 – May 19 1 in 30

Most Unlikely Losing Streaks

# Team Games Dates Probability
1 Tromso 5 Apr 28 – May 19 1 in 105
2 Sarpsborg 08 4 May 5 – May 19 1 in 101
3 Stabaek 4 May 4 – Jun 17 1 in 83
4 Ranheim 3 Mar 31 – Apr 14 1 in 24
5 Brann 2 Aug 18 – Aug 25 1 in 23

Most Unlikely Unbeaten Streaks

# Team Games Dates Probability
1 Stabaek 8 Sep 29 – Dec 1 1 in 30
2 Kristiansund 7 Apr 22 – Jun 16 1 in 27
3 Mjondalen 6 Jun 16 – Aug 4 1 in 23
4 Viking 9 Aug 14 – Oct 20 1 in 21
5 Rosenborg 11 Jun 29 – Sep 28 1 in 19

Most Unlikely Winless Streaks

# Team Games Dates Probability
1 Valerenga 12 Aug 4 – Oct 26 1 in 338
2 Lillestrom 11 Sep 1 – Dec 1 1 in 60
3 Sarpsborg 08 10 Jun 23 – Sep 1 1 in 45
4 Brann 7 Sep 15 – Nov 3 1 in 19
5 Stromsgodset 7 Apr 7 – May 16 1 in 19

Finish Position Heatmap

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).

Team12345678910111213141516
Molde59.11%19.13%8.97%4.85%3.21%1.81%1.13%0.71%0.43%0.29%0.17%0.13%0.04%—0.01%0.01%
Bodo Glimt5.87%11.69%13.00%11.84%10.18%9.14%8.25%6.92%5.50%4.85%3.81%3.26%2.39%1.69%1.06%0.55%
Rosenborg17.23%24.81%16.18%11.88%8.08%6.28%4.67%3.26%2.68%1.90%1.15%0.69%0.54%0.33%0.25%0.07%
Odds2.87%7.46%9.13%9.76%9.96%9.20%8.89%8.08%7.23%6.48%5.75%4.93%3.86%2.91%2.34%1.15%
Viking1.29%3.86%5.92%7.06%7.35%8.34%7.61%8.70%8.66%8.15%6.95%7.13%6.70%5.69%3.97%2.62%
Kristiansund1.72%4.24%6.50%7.36%8.40%8.29%8.04%8.47%8.29%8.21%7.50%6.37%5.71%4.95%3.62%2.33%
Haugesund3.32%8.27%10.04%10.10%10.60%9.35%9.00%8.22%7.00%6.02%4.90%4.42%3.43%2.55%1.81%0.97%
Stabaek0.60%1.74%3.27%4.56%5.21%6.21%6.92%7.27%7.87%8.40%9.10%8.75%8.73%8.77%7.19%5.41%
Brann4.72%9.35%11.56%10.88%10.33%9.51%8.85%7.54%6.64%5.32%4.75%3.66%3.07%1.79%1.16%0.87%
Valerenga1.44%3.97%5.49%6.91%8.00%8.75%8.62%8.83%8.48%7.99%7.37%6.62%5.89%5.00%3.83%2.81%
Stromsgodset0.21%0.85%1.28%2.29%2.77%3.43%4.41%5.36%6.26%8.02%8.49%9.34%10.70%11.53%12.50%12.56%
Sarpsborg 081.03%2.64%4.39%5.82%6.50%7.60%7.66%7.81%8.21%8.29%8.65%7.89%7.73%6.80%5.24%3.74%
Mjondalen0.19%0.52%1.33%1.81%2.72%3.58%4.43%5.42%6.16%7.16%8.24%9.63%10.31%11.42%13.29%13.79%
Lillestrom0.31%0.82%1.68%2.63%3.55%4.34%5.30%6.01%7.07%7.96%9.12%9.65%9.82%10.53%11.31%9.90%
Tromso0.04%0.39%0.81%1.48%1.84%2.47%3.68%4.23%5.51%5.98%7.50%9.57%10.67%12.78%14.71%18.34%
Ranheim0.05%0.26%0.45%0.77%1.30%1.70%2.54%3.17%4.01%4.98%6.55%7.96%10.41%13.26%17.71%24.88%

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.

Points 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).

Season Trends

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

Edges & Scoring

How these are measured

The navy dot is the actual value, the gold line and key are the model's reference where one applies, and the slate ticks are the cutoffs between read labels listed under each metric.

Home Edge
Share of matches won by the home team minus the share won by the away team.
No Edge: under 5% * Slight Edge: 5% to 15% * Clear Edge: 15% to 25% * Strong Edge: 25% and up.
Elo Value
Number of Elo rating points one goal is worth. A team this many Elo points better than another is expected to win by one goal on a neutral field.
Scoring Tilt
Average home goals minus average away goals per match. The gold line is the home goals edge implied by the scoring value of an Elo point and the home-field Elo bonus.
Road-Tilted: under -0.2 * Neutral: -0.2 to 0.5 * Home-Tilted: 0.5 to 1.2 * Strong Home: 1.2 and up.
Home Edge
HomeDrawAway
+24.58%
Clear Edge
47.08%30.42%22.50%
Elo Value
Home Edge
163 Elo
0.006 goals per Elo point
087.20500
Scoring Tilt
Expected
+0.55 goals
Home-Tilted
-2+0.53+2

Title Race

How these are measured

The navy dot is the actual value, the gold line and key are the model's reference where one applies, and the slate ticks are the cutoffs between read labels listed under each metric.

Title-Race Openness
Effective number of teams with a live shot at finishing 1st, from the simulation. 1 means the favorite is a near-lock; larger means a wide-open race. Equal to 1 divided by the sum of squared title odds.
One-Team Race: under 2 * Top-Heavy: 2 to 4 * Open: 4 to 6 * Wide Open: 6 and up.
Champion Preseason Odds
Preseason probability that the eventual champion would finish 1st, from the simulation. The dot marks their rank across all teams, from longshot to favorite.
Preseason Favorite: 1st * Among the Favorites: 2nd to 3rd * Middle of the Pack: 4th to 8th * Longshot: 9th or lower.
Title Margin
Points-per-game gap between the champion and the runner-up. Shown per game so it reads the same across long and short seasons. The gold line is the winning margin the model expected, so a dot to the right means a more one-sided race than projected. A title won on goal difference shows 0.00.
Photo Finish: under 0.15 * Tight Race: 0.15 to 0.4 * Comfortable: 0.4 to 0.75 * Runaway: 0.75 and up.
Title-Race Openness
2.6
Top-Heavy
124610
Champion Preseason Odds
59%
Molde, 1st of 16
LongshotFavorite
Title Margin
Expected
0.47/gm
Comfortable
00.180.8/gm

Simulation-Based Surprises

How these are measured

The navy dot is the actual value, the gold line and key are the model's reference where one applies, and the slate ticks are the cutoffs between read labels listed under each metric.

Luck Spread
Standard deviation of the gap between each team's actual points and their simulated average points. The gold line is the spread the model expected from chance alone.
As Expected: under 5.28 * Some Luck: 5.28 to 7.92 * Lucky: 7.92 to 10.56 * Wild Swing: 10.56 and up.
Average Finish Error
Average gap between where each team was projected to finish and where they actually finished in the table.
Pinpoint: under 2.4 * Close: 2.4 to 3.6 * Off: 3.6 to 4.8 * Way Off: 4.8 and up.
Biggest Overachiever
The team that finished highest inside its own range of simulated outcomes. The gold line is where the top team in a league of 16 typically lands.
Biggest Underachiever
The team that finished lowest inside its own range of simulated outcomes. The gold line is where the bottom team in a league of 16 typically lands.
Season Outliers
Number of teams that finished above the 95th or below the 5th percentile of their own simulated range. Even a well-calibrated model expects about 10% of teams in the extremes.
Minimal Outliers: under 16 * As Expected: 16 to 25.6 * Several Outliers: 25.6 to 35.2 * Many Outliers: 35.2 and up.
Luck Spread
Expected
6.37 points
Some Luck
06.6016
Average Finish Error
Expected
1.75
Pinpoint
03.008
Biggest Overachiever
Expected 96.88%
97.45%
Molde
50100
Biggest Underachiever
Expected 3.12%
9.10%
Sarpsborg 08
050
Season Outliers
Expected
1 of 16
Minimal Outliers
01.68

Parity

How these are measured

The navy dot is the actual value, the gold line and key are the model's reference where one applies, and the slate ticks are the cutoffs between read labels listed under each metric.

Gini Index
How evenly points were spread across the league. Lower means a tight, balanced table; higher means a few teams ran off with most of the points.
Balanced: under 0.12 * Even: 0.12 to 0.18 * Top-Heavy: 0.18 to 0.26 * Lopsided: 0.26 and up.
Noll-Scully
How much more spread out the table was than a league where every match is a coin flip. The gold line at 1 is that coin-flip baseline. Above it, real talent gaps stretched the table; below it, the league was tighter than luck alone would produce.
Coin-Flip Parity: under 1 * Moderate Separation: 1 to 1.6 * Strong Separation: 1.6 to 2.2 * Wide Separation: 2.2 and up.
Interquartile Edge
Chance the team at the 75th percentile of Elo would beat the team at the 25th percentile on a neutral field. Higher means a bigger gap between the upper and lower half of the table.
Even: under 60% * Slight Edge: 60% to 70% * Clear Edge: 70% to 80% * Wide Edge: 80% and up.
Best vs. Worst
Chance the top-rated team would beat the bottom-rated team on a neutral field. The gold line is how large that gap tends to be in a league of this size; a dot to the right flags an unusually dominant or unusually weak team.
Even: under 70% * Clear Edge: 70% to 82% * Strong Edge: 82% to 92% * Dominant: 92% and up.
Close Games
Share of matches decided by 1 goal or fewer, draws included. The gold line is how many close games the matchups and the scoring value of an Elo point predict.
Few: under 30% * Some Drama: 30% to 40% * Frequent: 40% to 50% * Very Frequent: 50% and up.
Blowouts
Share of matches decided by 3 goals or more. The gold line is how many routs the matchups and the scoring model predict.
Rare: under 8% * Occasional: 8% to 14% * Frequent: 14% to 22% * Very Frequent: 22% and up.
Gini Index
0.15
Even
00.120.180.260.5
Noll-Scully
Coin-flip
1.40
Moderate Separation
01.003
Interquartile Edge
64%
Slight Edge
50%60%70%80%100%
Best vs. Worst
Baseline
86%
Strong Edge
50%85%100%
Close Games
Expected
64%
Very Frequent
0%58%100%
Blowouts
Expected
18%
Frequent
0%18%100%

Predictability

How these are measured

The navy dot is the actual value, the gold line and key are the model's reference where one applies, and the slate ticks are the cutoffs between read labels listed under each metric.

Brier Score
How close the pregame probabilities landed to the actual result, averaged over the season. Confident, correct calls are rewarded most; confident misses are punished most. Lower is better; since draws are possible, a score under 0.66 beats guessing the base rate.
Highly Predictable: under 0.56 * Predictable: 0.56 to 0.62 * Hard to Predict: 0.62 to 0.66 * Coin-Flip: 0.66 and up.
Matchup Imbalance
How lopsided the matchups were on paper, averaging the gap between the two win probabilities over their sum. 0 means every match was a toss-up; 1 means every match was a heavy favorite against a big underdog.
Very Even: under 0.1 * Slight Separation: 0.1 to 0.18 * Notable Separation: 0.18 to 0.28 * Lopsided: 0.28 and up.
Strangeness
How wild the final table was versus what the model expected. A value of 1 means teams landed about one standard deviation from their projections on average. Above 1 is a stranger season; below 1 hugged the projections.
Very Predictable: under 0.8 * As Expected: 0.8 to 1.1 * Wilder Than Modeled: 1.1 to 1.4 * Chaotic: 1.4 and up.
Repeatability
How closely the final table order matched the preseason Elo order, by Spearman rank correlation. Higher means last season's ratings strongly predicted this season's finish. Shows N/A for an inaugural season.
Weak Carryover: under 0.3 * Some Carryover: 0.3 to 0.6 * Strong Carryover: 0.6 to 0.85 * Near-Lock: 0.85 and up.
Upset Rate
Share of matches the underdog won. The gold line is how often the model expected underdogs to win; a dot to the right means upsets ran hotter than expected.
Chalky: under 25% * As Expected: 25% to 33% * Upset-Prone: 33% to 42% * Very Upset-Prone: 42% and up.
Clear Favorite Upset Rate
Share of matches the underdog won, counting only games with a clear favorite (at least 60% likely to win once a draw is set aside). The gold line is how often the model expected these favorites to slip.
Solid Favorites: under 15% * As Expected: 15% to 25% * Shaky Favorites: 25% to 35% * Very Shaky: 35% and up.
Brier Score
Expected
0.61
Predictable
00.622
Matchup Imbalance
0.33
Lopsided
00.10.180.280.5
Strangeness
Expected
0.92
As Expected
01.002
Repeatability
0.48
Some Carryover
00.30.60.851
Upset Rate
Expected
22%
Chalky
0%23%50%
Clear Favorite Upset Rate
Expected
18%
As Expected
0%20%50%

Calibration

How these are measured

The navy dot is the actual value, the gold line and key are the model's reference where one applies, and the slate ticks are the cutoffs between read labels listed under each metric.

Probability calibration
An all-in-one chi-square test of the model's probabilities. Matches are grouped by how confident the model was, and within each group the predicted and actual counts of home wins, draws, and away wins are compared. The p-value is plotted; above 0.05 means well-calibrated.
Miscalibrated: under 0.05 * Borderline: 0.05 to 0.1 * Well Calibrated: 0.1 to 0.5 * Excellent: 0.5 and up.
Calibration slope
Checks whether the spread of the probabilities is right. Each probability is turned into log-odds and a line is fit predicting the actual results. A slope of 1.00 is perfect; below 1 is overconfidence (favorites lost more than their odds implied); above 1 is under-confidence.
Overconfident: under 0.85 * Calibrated: 0.85 to 1.15 * Underconfident: 1.15 to 1.3 * Very Underconfident: 1.3 and up.
Calibration error (ECE)
The average gap between the model's stated chances and how often the predicted result actually happened. Smaller is better. The gold line is the noise ceiling, the error luck alone can produce even with perfect probabilities; below it, the model's error is no larger than chance.
Well Within Noise: under 0.1 * Near Noise Ceiling: 0.1 to 0.15 * Above Noise: 0.15 to 0.2 * Well Above Noise: 0.2 and up.
Probability calibration
0.90
Excellent
0.010.050.10.51
Calibration slope
Ideal
1.09
Calibrated
0.51.001.5
Calibration error (ECE)
Noise ceiling
0.063
Well Within Noise
00.1020.25

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 Same level Lost relegation playoff Direct relegation
Molde 99.98% — 0.02%
Rosenborg 99.35% 0.33% 0.32%
Bodo Glimt 96.70% 1.69% 1.61%
Brann 96.18% 1.79% 2.03%
Haugesund 94.67% 2.55% 2.78%
Odds 93.60% 2.91% 3.49%
Kristiansund 89.10% 4.95% 5.95%
Valerenga 88.36% 5.00% 6.64%
Viking 87.72% 5.69% 6.59%
Sarpsborg 08 84.22% 6.80% 8.98%
Stabaek 78.63% 8.77% 12.60%
Stromsgodset 63.41% 11.53% 25.06%
Mjondalen 61.50% 11.42% 27.08%
Tromso 54.17% 12.78% 33.05%
Ranheim 44.15% 13.26% 42.59%
Lillestrom — 100% —

Overall Game Log

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

Date Opponent Score Pre Elo Opp Elo Win % Tie % Loss % Elo Δ Points
2019-03-30 Brann W 3-2 1568 1611 40.2% 31.8% 28.0% +5.8 3
2019-03-30 @ Odds L 2-3 1611 1568 28.0% 31.8% 40.2% -5.8 0
2019-03-30 Mjondalen W 2-0 1574 1550 49.2% 29.7% 21.1% +9.6 3
2019-03-30 @ Valerenga L 0-2 1550 1574 21.1% 29.7% 49.2% -9.6 0
2019-03-31 Haugesund W 3-2 1578 1602 42.9% 31.4% 25.7% +5.4 3
2019-03-31 @ Stromsgodset L 2-3 1602 1578 25.7% 31.4% 42.9% -5.4 0
2019-03-31 Kristiansund W 2-0 1536 1585 39.3% 31.9% 28.8% +12.4 3
2019-03-31 @ Viking L 0-2 1585 1536 28.8% 31.9% 39.3% -12.4 0
2019-03-31 Molde D 1-1 1589 1653 37.2% 32.1% 30.7% -0.2 1
2019-03-31 @ Sarpsborg 08 D 1-1 1653 1589 30.7% 32.1% 37.2% +0.2 1
2019-03-31 Rosenborg W 2-0 1567 1681 30.1% 32.1% 37.8% +15.0 3
2019-03-31 @ Bodo Glimt L 0-2 1681 1567 37.8% 32.1% 30.1% -15.0 0
2019-03-31 Tromso L 1-2 1532 1550 43.5% 31.2% 25.2% -8.3 0
2019-03-31 @ Ranheim W 2-1 1550 1532 25.2% 31.2% 43.5% +8.3 3
2019-04-01 Lillestrom D 1-1 1559 1557 46.4% 30.6% 23.0% -1.0 1
2019-04-01 @ Stabaek D 1-1 1557 1559 23.0% 30.6% 46.4% +1.0 1
2019-04-06 Bodo Glimt L 4-5 1541 1582 40.5% 31.8% 27.8% -7.2 0
2019-04-06 @ Mjondalen W 5-4 1582 1541 27.8% 31.8% 40.5% +7.2 6
2019-04-07 Ranheim W 2-1 1558 1524 50.5% 29.3% 20.2% +4.6 4
2019-04-07 @ Lillestrom L 1-2 1524 1558 20.2% 29.3% 50.5% -4.6 0
2019-04-07 Sarpsborg 08 D 1-1 1596 1589 47.0% 30.4% 22.6% -1.0 1
2019-04-07 @ Haugesund D 1-1 1589 1596 22.6% 30.4% 47.0% +1.0 2
2019-04-07 Stabaek W 3-0 1653 1558 58.0% 26.0% 16.0% +10.5 4
2019-04-07 @ Molde L 0-3 1558 1653 16.0% 26.0% 58.0% -10.5 1
2019-04-07 Stromsgodset D 1-1 1605 1584 48.9% 29.8% 21.3% -1.1 1
2019-04-07 @ Brann D 1-1 1584 1605 21.3% 29.8% 48.9% +1.2 4
2019-04-07 Valerenga W 2-0 1572 1584 44.5% 31.1% 24.5% +10.9 3
2019-04-07 @ Kristiansund L 0-2 1584 1572 24.5% 31.1% 44.5% -10.9 3
2019-04-07 Viking L 0-2 1559 1548 47.5% 30.3% 22.3% -17.7 3
2019-04-07 @ Tromso W 2-0 1548 1559 22.3% 30.3% 47.5% +17.7 6
2019-04-08 Odds D 1-1 1666 1574 57.7% 26.2% 16.1% -1.8 1
2019-04-08 @ Rosenborg D 1-1 1574 1666 16.1% 26.2% 57.7% +1.8 4
2019-04-10 Kristiansund W 2-1 1604 1583 48.8% 29.9% 21.4% +4.9 4
2019-04-10 @ Brann L 1-2 1583 1604 21.4% 29.9% 48.8% -4.9 3
2019-04-10 Valerenga W 4-1 1664 1573 57.5% 26.3% 16.2% +9.0 7
2019-04-10 @ Molde L 1-4 1573 1664 16.2% 26.3% 57.5% -9.0 3
2019-04-12 Mjondalen L 2-3 1585 1534 52.7% 28.4% 18.9% -9.1 4
2019-04-12 @ Stromsgodset W 3-2 1534 1585 18.9% 28.4% 52.7% +9.1 3
2019-04-13 Brann W 2-1 1566 1609 40.1% 31.8% 28.1% +6.1 9
2019-04-13 @ Viking L 1-2 1609 1566 28.1% 31.8% 40.1% -6.1 4
2019-04-14 Haugesund L 0-2 1519 1595 35.5% 32.2% 32.3% -14.4 0
2019-04-14 @ Ranheim W 2-0 1595 1519 32.3% 32.2% 35.5% +14.4 4
2019-04-14 Kristiansund W 2-0 1576 1579 45.7% 30.8% 23.6% +10.6 7
2019-04-14 @ Odds L 0-2 1579 1576 23.6% 30.8% 45.7% -10.6 3
2019-04-14 Lillestrom W 1-0 1590 1562 49.6% 29.6% 20.8% +5.0 5
2019-04-14 @ Sarpsborg 08 L 0-1 1562 1590 20.8% 29.6% 49.6% -5.0 4
2019-04-14 Molde W 3-2 1589 1673 34.4% 32.2% 33.4% +6.5 9
2019-04-14 @ Bodo Glimt L 2-3 1673 1589 33.4% 32.2% 34.4% -6.5 7
2019-04-14 Rosenborg W 3-1 1548 1664 29.9% 32.1% 38.0% +13.0 4
2019-04-14 @ Stabaek L 1-3 1664 1548 38.0% 32.1% 29.9% -13.0 1
2019-04-14 Tromso W 4-1 1564 1541 49.1% 29.8% 21.2% +11.8 6
2019-04-14 @ Valerenga L 1-4 1541 1564 21.2% 29.8% 49.1% -11.8 3
2019-04-22 Molde L 0-2 1557 1666 30.9% 32.1% 37.0% -13.0 4
2019-04-22 @ Lillestrom W 2-0 1666 1557 37.0% 32.1% 30.9% +13.0 10
2019-04-22 Ranheim D 0-0 1568 1505 54.2% 27.8% 18.0% -1.7 4
2019-04-22 @ Kristiansund D 0-0 1505 1568 18.0% 27.8% 54.2% +1.7 1
2019-04-22 Sarpsborg 08 D 1-1 1595 1595 46.1% 30.6% 23.2% -0.9 10
2019-04-22 @ Bodo Glimt D 1-1 1595 1595 23.2% 30.6% 46.1% +0.9 6
2019-04-22 Stabaek W 3-0 1609 1561 52.3% 28.6% 19.1% +12.7 7
2019-04-22 @ Haugesund L 0-3 1561 1609 19.1% 28.6% 52.3% -12.7 4
2019-04-22 Stromsgodset D 0-0 1651 1576 55.6% 27.2% 17.2% -1.9 2
2019-04-22 @ Rosenborg D 0-0 1576 1651 17.2% 27.2% 55.6% +1.9 5
2019-04-22 Tromso D 1-1 1543 1529 47.8% 30.2% 22.0% -1.1 4
2019-04-22 @ Mjondalen D 1-1 1529 1543 22.0% 30.2% 47.8% +1.1 4
2019-04-22 Valerenga D 1-1 1603 1576 49.6% 29.6% 20.8% -1.2 5
2019-04-22 @ Brann D 1-1 1576 1603 20.8% 29.6% 49.6% +1.2 7
2019-04-23 Viking W 1-0 1586 1572 48.0% 30.1% 21.9% +5.3 10
2019-04-23 @ Odds L 0-1 1572 1586 21.9% 30.1% 48.0% -5.3 9
2019-04-27 Mjondalen D 1-1 1596 1542 53.0% 28.3% 18.7% -1.5 7
2019-04-27 @ Sarpsborg 08 D 1-1 1542 1596 18.7% 28.3% 53.0% +1.5 5
2019-04-28 Bodo Glimt W 2-0 1548 1594 39.7% 31.9% 28.4% +12.3 7
2019-04-28 @ Stabaek L 0-2 1594 1548 28.4% 31.9% 39.7% -12.3 10
2019-04-28 Brann L 1-2 1530 1602 36.1% 32.2% 31.7% -7.3 4
2019-04-28 @ Tromso W 2-1 1602 1530 31.7% 32.2% 36.1% +7.3 8
2019-04-28 Haugesund W 1-0 1544 1622 35.2% 32.2% 32.6% +7.2 7
2019-04-28 @ Lillestrom L 0-1 1622 1544 32.6% 32.2% 35.2% -7.2 7
2019-04-28 Kristiansund L 2-3 1578 1566 47.6% 30.2% 22.2% -8.4 5
2019-04-28 @ Stromsgodset W 3-2 1566 1578 22.2% 30.2% 47.6% +8.4 7
2019-04-28 Rosenborg W 3-0 1679 1649 50.0% 29.5% 20.6% +13.6 13
2019-04-28 @ Molde L 0-3 1649 1679 20.6% 29.5% 50.0% -13.6 2
2019-04-28 Viking W 5-2 1506 1567 37.7% 32.1% 30.2% +13.6 4
2019-04-28 @ Ranheim L 2-5 1567 1506 30.2% 32.1% 37.7% -13.6 9
2019-04-29 Odds W 1-0 1577 1592 44.1% 31.1% 24.8% +5.9 10
2019-04-29 @ Valerenga L 0-1 1592 1577 24.8% 31.1% 44.1% -5.9 10
2019-05-04 Stabaek W 1-0 1543 1561 43.7% 31.2% 25.1% +5.9 8
2019-05-04 @ Mjondalen L 0-1 1561 1543 25.1% 31.2% 43.7% -5.9 7
2019-05-05 Lillestrom W 4-0 1582 1551 50.1% 29.4% 20.5% +17.8 13
2019-05-05 @ Bodo Glimt L 0-4 1551 1582 20.5% 29.4% 50.1% -17.8 7
2019-05-05 Molde L 1-2 1615 1693 35.2% 32.2% 32.6% -7.1 7
2019-05-05 @ Haugesund W 2-1 1693 1615 32.6% 32.2% 35.2% +7.2 16
2019-05-05 Ranheim L 0-1 1609 1520 57.3% 26.4% 16.3% -10.8 8
2019-05-05 @ Brann W 1-0 1520 1609 16.3% 26.4% 57.3% +10.8 7
2019-05-05 Sarpsborg 08 W 1-0 1636 1594 51.4% 28.9% 19.6% +4.8 5
2019-05-05 @ Rosenborg L 0-1 1594 1636 19.6% 28.9% 51.4% -4.8 7
2019-05-05 Stromsgodset W 2-1 1586 1569 48.2% 30.0% 21.8% +4.9 13
2019-05-05 @ Odds L 1-2 1569 1586 21.8% 30.0% 48.2% -4.9 5
2019-05-05 Tromso W 1-0 1575 1523 52.7% 28.4% 18.9% +4.6 10
2019-05-05 @ Kristiansund L 0-1 1523 1575 18.9% 28.4% 52.7% -4.6 4
2019-05-06 Valerenga D 1-1 1553 1583 42.0% 31.6% 26.5% -0.6 10
2019-05-06 @ Viking D 1-1 1583 1553 26.5% 31.6% 42.0% +0.6 11
2019-05-11 Rosenborg D 1-1 1534 1640 31.1% 32.2% 36.7% +0.2 8
2019-05-11 @ Lillestrom D 1-1 1640 1534 36.7% 32.2% 31.1% -0.2 6
2019-05-12 Bodo Glimt D 1-1 1608 1600 47.1% 30.4% 22.5% -1.0 8
2019-05-12 @ Haugesund D 1-1 1600 1608 22.5% 30.4% 47.1% +1.0 14
2019-05-12 Brann L 0-1 1555 1598 40.1% 31.8% 28.1% -8.3 7
2019-05-12 @ Stabaek W 1-0 1598 1555 28.1% 31.8% 40.1% +8.3 11
2019-05-12 Kristiansund L 0-1 1589 1579 47.4% 30.3% 22.3% -9.4 7
2019-05-12 @ Sarpsborg 08 W 1-0 1579 1589 22.3% 30.3% 47.4% +9.4 13
2019-05-12 Mjondalen W 1-0 1700 1549 64.5% 22.5% 13.0% +3.0 19
2019-05-12 @ Molde L 0-1 1549 1700 13.0% 22.5% 64.5% -3.0 8
2019-05-12 Odds L 1-2 1518 1591 36.0% 32.2% 31.8% -7.2 4
2019-05-12 @ Tromso W 2-1 1591 1518 31.8% 32.2% 36.0% +7.2 16
2019-05-12 Valerenga L 1-5 1531 1584 38.8% 32.0% 29.2% -24.2 7
2019-05-12 @ Ranheim W 5-1 1584 1531 29.2% 32.0% 38.8% +24.2 14
2019-05-13 Viking D 0-0 1564 1552 47.6% 30.2% 22.1% -1.2 6
2019-05-13 @ Stromsgodset D 0-0 1552 1564 22.1% 30.2% 47.6% +1.2 11
2019-05-16 Bodo Glimt L 1-2 1511 1601 33.5% 32.2% 34.2% -6.9 4
2019-05-16 @ Tromso W 2-1 1601 1511 34.2% 32.2% 33.5% +6.9 17
2019-05-16 Haugesund L 0-2 1640 1607 50.4% 29.3% 20.3% -18.6 6
2019-05-16 @ Rosenborg W 2-0 1607 1640 20.3% 29.3% 50.4% +18.6 11
2019-05-16 Lillestrom D 2-2 1546 1534 47.6% 30.2% 22.1% -0.8 9
2019-05-16 @ Mjondalen D 2-2 1534 1546 22.1% 30.2% 47.6% +0.8 9
2019-05-16 Molde W 3-2 1589 1703 30.1% 32.1% 37.8% +7.1 16
2019-05-16 @ Kristiansund L 2-3 1703 1589 37.8% 32.1% 30.1% -7.1 19
2019-05-16 Ranheim W 1-0 1598 1507 57.6% 26.2% 16.2% +3.9 19
2019-05-16 @ Odds L 0-1 1507 1598 16.2% 26.2% 57.6% -3.9 7
2019-05-16 Sarpsborg 08 W 2-1 1607 1580 49.5% 29.6% 20.9% +4.8 14
2019-05-16 @ Brann L 1-2 1580 1607 20.9% 29.6% 49.5% -4.8 7
2019-05-16 Stabaek W 3-0 1553 1546 47.0% 30.4% 22.6% +14.8 14
2019-05-16 @ Viking L 0-3 1546 1553 22.6% 30.4% 47.0% -14.9 7
2019-05-16 Stromsgodset W 2-0 1608 1563 51.8% 28.8% 19.4% +8.9 17
2019-05-16 @ Valerenga L 0-2 1563 1608 19.4% 28.8% 51.8% -8.9 6
2019-05-19 Brann L 1-2 1608 1611 45.6% 30.8% 23.6% -8.6 17
2019-05-19 @ Bodo Glimt W 2-1 1611 1608 23.6% 30.8% 45.6% +8.6 17
2019-05-19 Kristiansund D 0-0 1625 1596 49.9% 29.5% 20.6% -1.4 12
2019-05-19 @ Haugesund D 0-0 1596 1625 20.6% 29.5% 49.9% +1.4 17
2019-05-19 Mjondalen W 3-2 1622 1545 55.8% 27.1% 17.1% +3.7 9
2019-05-19 @ Rosenborg L 2-3 1545 1622 17.1% 27.1% 55.8% -3.7 9
2019-05-19 Odds L 0-3 1535 1602 36.7% 32.2% 31.1% -21.4 9
2019-05-19 @ Lillestrom W 3-0 1602 1535 31.1% 32.2% 36.7% +21.4 22
2019-05-19 Ranheim L 1-3 1575 1503 55.3% 27.3% 17.4% -17.2 7
2019-05-19 @ Sarpsborg 08 W 3-1 1503 1575 17.4% 27.3% 55.3% +17.2 10
2019-05-19 Tromso W 3-1 1554 1504 52.5% 28.5% 19.0% +7.5 9
2019-05-19 @ Stromsgodset L 1-3 1504 1554 19.0% 28.5% 52.5% -7.5 4
2019-05-20 Viking W 5-1 1696 1568 61.8% 24.0% 14.1% +9.9 22
2019-05-20 @ Molde L 1-5 1568 1696 14.1% 24.0% 61.8% -9.9 14
2019-05-25 Lillestrom L 0-3 1617 1513 59.0% 25.5% 15.4% -30.3 17
2019-05-25 @ Valerenga W 3-0 1513 1617 15.4% 25.5% 59.0% +30.3 12
2019-05-26 Haugesund L 1-4 1541 1624 34.5% 32.2% 33.2% -17.3 9
2019-05-26 @ Mjondalen W 4-1 1624 1541 33.2% 32.2% 34.5% +17.3 15
2019-05-26 Molde W 2-1 1497 1706 20.2% 29.2% 50.6% +9.3 7
2019-05-26 @ Tromso L 1-2 1706 1497 50.6% 29.2% 20.2% -9.3 22
2019-05-26 Rosenborg L 0-1 1620 1625 45.3% 30.9% 23.8% -9.1 17
2019-05-26 @ Brann W 1-0 1625 1620 23.8% 30.9% 45.3% +9.1 12
2019-05-26 Stromsgodset W 1-0 1520 1562 40.3% 31.8% 27.9% +6.4 13
2019-05-26 @ Ranheim L 0-1 1562 1520 27.9% 31.8% 40.3% -6.4 9
2019-06-15 Brann D 1-1 1641 1611 50.0% 29.4% 20.5% -1.2 16
2019-06-15 @ Haugesund D 1-1 1611 1641 20.5% 29.4% 50.0% +1.2 18
2019-06-16 Kristiansund D 1-1 1524 1597 35.9% 32.2% 31.9% -0.2 10
2019-06-16 @ Mjondalen D 1-1 1597 1524 31.9% 32.2% 35.9% +0.2 18
2019-06-16 Odds W 2-0 1558 1623 37.0% 32.1% 30.8% +13.0 10
2019-06-16 @ Sarpsborg 08 L 0-2 1623 1558 30.8% 32.1% 37.0% -13.0 22
2019-06-16 Ranheim W 2-0 1696 1526 66.6% 21.3% 12.1% +5.2 25
2019-06-16 @ Molde L 0-2 1526 1696 12.1% 21.3% 66.6% -5.2 13
2019-06-16 Stromsgodset W 2-0 1599 1555 51.7% 28.8% 19.5% +8.9 20
2019-06-16 @ Bodo Glimt L 0-2 1555 1599 19.5% 28.8% 51.7% -8.9 9
2019-06-16 Valerenga W 3-0 1634 1586 52.3% 28.6% 19.1% +12.7 15
2019-06-16 @ Rosenborg L 0-3 1586 1634 19.1% 28.6% 52.3% -12.7 17
2019-06-16 Viking L 0-2 1543 1558 44.0% 31.1% 24.8% -16.8 12
2019-06-16 @ Lillestrom W 2-0 1558 1543 24.8% 31.1% 44.0% +16.8 17
2019-06-17 Tromso L 0-1 1531 1506 49.4% 29.7% 21.0% -9.7 7
2019-06-17 @ Stabaek W 1-0 1506 1531 21.0% 29.7% 49.4% +9.7 10
2019-06-22 Molde L 0-4 1547 1702 25.3% 31.3% 43.4% -21.3 9
2019-06-22 @ Stromsgodset W 4-0 1702 1547 43.4% 31.3% 25.3% +21.3 28
2019-06-23 Bodo Glimt L 3-4 1575 1608 41.6% 31.6% 26.8% -7.4 17
2019-06-23 @ Viking W 4-3 1608 1575 26.8% 31.6% 41.6% +7.4 23
2019-06-23 Haugesund W 3-1 1610 1640 42.0% 31.6% 26.5% +10.1 25
2019-06-23 @ Odds L 1-3 1640 1610 26.5% 31.6% 42.0% -10.1 16
2019-06-23 Lillestrom W 1-0 1612 1527 56.9% 26.6% 16.5% +4.0 21
2019-06-23 @ Brann L 0-1 1527 1612 16.5% 26.6% 56.9% -4.0 12
2019-06-23 Mjondalen D 1-1 1521 1524 45.7% 30.8% 23.6% -0.9 14
2019-06-23 @ Ranheim D 1-1 1524 1521 23.6% 30.8% 45.7% +0.9 11
2019-06-23 Rosenborg W 1-0 1516 1647 28.0% 31.8% 40.2% +8.3 13
2019-06-23 @ Tromso L 0-1 1647 1516 40.2% 31.8% 28.0% -8.3 15
2019-06-23 Sarpsborg 08 D 1-1 1574 1571 46.4% 30.6% 23.1% -1.0 18
2019-06-23 @ Valerenga D 1-1 1571 1574 23.1% 30.6% 46.4% +1.0 11
2019-06-23 Stabaek L 0-1 1597 1522 55.7% 27.2% 17.2% -10.6 18
2019-06-23 @ Kristiansund W 1-0 1522 1597 17.2% 27.2% 55.7% +10.6 10
2019-06-29 Kristiansund W 1-0 1639 1587 52.8% 28.4% 18.8% +4.6 18
2019-06-29 @ Rosenborg L 0-1 1587 1639 18.8% 28.4% 52.8% -4.6 18
2019-06-30 Brann D 1-1 1723 1616 59.4% 25.3% 15.2% -1.9 29
2019-06-30 @ Molde D 1-1 1616 1723 15.2% 25.3% 59.4% +1.9 22
2019-06-30 Odds W 3-0 1616 1620 45.4% 30.8% 23.8% +15.5 26
2019-06-30 @ Bodo Glimt L 0-3 1620 1616 23.8% 30.8% 45.4% -15.5 25
2019-06-30 Ranheim D 0-0 1532 1520 47.6% 30.2% 22.1% -1.2 11
2019-06-30 @ Stabaek D 0-0 1520 1532 22.1% 30.2% 47.6% +1.2 15
2019-06-30 Tromso W 4-0 1523 1524 45.9% 30.7% 23.4% +20.0 15
2019-06-30 @ Lillestrom L 0-4 1524 1523 23.4% 30.7% 45.9% -20.0 13
2019-06-30 Valerenga L 1-4 1630 1573 53.4% 28.1% 18.4% -23.8 16
2019-06-30 @ Haugesund W 4-1 1573 1630 18.4% 28.1% 53.4% +23.7 21
2019-06-30 Viking D 1-1 1525 1568 40.2% 31.8% 28.0% -0.5 12
2019-06-30 @ Mjondalen D 1-1 1568 1525 28.0% 31.8% 40.2% +0.5 18
2019-07-01 Stromsgodset D 2-2 1572 1525 52.1% 28.7% 19.2% -1.0 12
2019-07-01 @ Sarpsborg 08 D 2-2 1525 1572 19.2% 28.7% 52.1% +1.0 10
2019-07-04 Rosenborg L 2-3 1522 1643 29.2% 32.0% 38.8% -5.9 15
2019-07-04 @ Ranheim W 3-2 1643 1522 38.8% 32.0% 29.2% +5.9 21
2019-07-05 Bodo Glimt W 6-0 1596 1631 41.3% 31.7% 27.0% +32.9 24
2019-07-05 @ Valerenga L 0-6 1631 1596 27.0% 31.7% 41.3% -32.8 26
2019-07-05 Haugesund D 0-0 1568 1606 40.9% 31.7% 27.4% -0.6 19
2019-07-05 @ Viking D 0-0 1606 1568 27.4% 31.7% 40.9% +0.6 17
2019-07-05 Lillestrom W 5-2 1582 1543 51.2% 29.0% 19.8% +9.6 21
2019-07-05 @ Kristiansund L 2-5 1543 1582 19.8% 29.0% 51.2% -9.6 15
2019-07-05 Mjondalen D 0-0 1618 1524 57.9% 26.1% 16.0% -2.0 23
2019-07-05 @ Brann D 0-0 1524 1618 16.0% 26.1% 57.9% +2.0 13
2019-07-05 Molde D 2-2 1605 1721 29.9% 32.1% 38.0% +0.2 26
2019-07-05 @ Odds D 2-2 1721 1605 38.0% 32.1% 29.9% -0.2 30
2019-07-05 Sarpsborg 08 W 2-0 1504 1571 36.8% 32.2% 31.1% +13.1 16
2019-07-05 @ Tromso L 0-2 1571 1504 31.1% 32.2% 36.8% -13.1 12
2019-07-05 Stabaek L 0-2 1526 1531 45.4% 30.8% 23.8% -17.1 10
2019-07-05 @ Stromsgodset W 2-0 1531 1526 23.8% 30.8% 45.4% +17.1 14
2019-07-10 Stabaek W 2-1 1605 1548 53.4% 28.2% 18.5% +4.2 29
2019-07-10 @ Odds L 1-2 1548 1605 18.5% 28.2% 53.4% -4.2 14
2019-07-13 Ranheim W 5-1 1598 1516 56.5% 26.7% 16.7% +12.0 29
2019-07-13 @ Bodo Glimt L 1-5 1516 1598 16.7% 26.7% 56.5% -12.0 15
2019-07-13 Viking W 5-1 1649 1568 56.4% 26.8% 16.8% +12.1 24
2019-07-13 @ Rosenborg L 1-5 1568 1649 16.8% 26.8% 56.4% -12.1 19
2019-07-14 Odds W 2-0 1526 1609 34.5% 32.2% 33.2% +13.7 16
2019-07-14 @ Mjondalen L 0-2 1609 1526 33.2% 32.2% 34.5% -13.7 29
2019-07-14 Stromsgodset W 2-1 1533 1509 49.2% 29.7% 21.1% +4.8 18
2019-07-14 @ Lillestrom L 1-2 1509 1533 21.1% 29.7% 49.2% -4.8 10
2019-07-14 Tromso W 5-1 1607 1517 57.4% 26.3% 16.3% +11.7 20
2019-07-14 @ Haugesund L 1-5 1517 1607 16.3% 26.3% 57.4% -11.7 16
2019-07-15 Sarpsborg 08 D 3-3 1544 1558 44.2% 31.1% 24.7% -0.5 15
2019-07-15 @ Stabaek D 3-3 1558 1544 24.7% 31.1% 44.2% +0.5 13
2019-07-21 Sarpsborg 08 W 2-1 1721 1558 65.8% 21.8% 12.4% +2.7 33
2019-07-21 @ Molde L 1-2 1558 1721 12.4% 21.8% 65.8% -2.7 13
2019-07-21 Stabaek W 2-1 1616 1544 55.3% 27.3% 17.4% +4.0 26
2019-07-21 @ Brann L 1-2 1544 1616 17.4% 27.3% 55.3% -4.0 15
2019-08-03 Lillestrom W 2-1 1596 1538 53.5% 28.1% 18.4% +4.2 32
2019-08-03 @ Odds L 1-2 1538 1596 18.4% 28.1% 53.5% -4.2 18
2019-08-03 Rosenborg D 1-1 1556 1661 31.3% 32.2% 36.5% +0.2 14
2019-08-03 @ Sarpsborg 08 D 1-1 1661 1556 36.5% 32.2% 31.3% -0.2 25
2019-08-04 Brann L 0-3 1504 1620 29.9% 32.1% 38.0% -18.5 15
2019-08-04 @ Ranheim W 3-0 1620 1504 38.0% 32.1% 29.9% +18.5 29
2019-08-04 Haugesund D 1-1 1540 1618 35.1% 32.2% 32.7% -0.1 16
2019-08-04 @ Stabaek D 1-1 1618 1540 32.7% 32.2% 35.1% +0.1 21
2019-08-04 Kristiansund D 1-1 1629 1592 50.9% 29.1% 20.0% -1.3 25
2019-08-04 @ Valerenga D 1-1 1592 1629 20.0% 29.1% 50.9% +1.3 22
2019-08-04 Mjondalen D 2-2 1505 1540 41.3% 31.7% 27.0% -0.4 17
2019-08-04 @ Tromso D 2-2 1540 1505 27.0% 31.7% 41.3% +0.4 17
2019-08-04 Molde L 0-2 1556 1723 23.9% 30.9% 45.2% -10.7 19
2019-08-04 @ Viking W 2-0 1723 1556 45.2% 30.9% 23.9% +10.7 36
2019-08-05 Bodo Glimt L 1-3 1504 1610 31.3% 32.2% 36.5% -11.4 10
2019-08-05 @ Stromsgodset W 3-1 1610 1504 36.5% 32.2% 31.3% +11.4 32
2019-08-10 Tromso W 5-2 1661 1505 65.1% 22.2% 12.7% +5.8 28
2019-08-10 @ Rosenborg L 2-5 1505 1661 12.7% 22.2% 65.1% -5.8 17
2019-08-11 Odds D 1-1 1593 1600 45.1% 30.9% 24.0% -0.9 23
2019-08-11 @ Kristiansund D 1-1 1600 1593 24.0% 30.9% 45.1% +0.9 33
2019-08-11 Ranheim L 0-1 1619 1485 62.5% 23.7% 13.8% -11.5 21
2019-08-11 @ Haugesund W 1-0 1485 1619 13.8% 23.7% 62.5% +11.5 18
2019-08-11 Valerenga W 3-2 1493 1628 27.6% 31.8% 40.6% +7.5 13
2019-08-11 @ Stromsgodset L 2-3 1628 1493 40.6% 31.8% 27.6% -7.5 25
2019-08-11 Viking W 2-1 1622 1545 55.8% 27.1% 17.1% +3.9 35
2019-08-11 @ Bodo Glimt L 1-2 1545 1622 17.1% 27.1% 55.8% -3.9 19
2019-08-12 Mjondalen W 3-2 1534 1541 45.1% 30.9% 24.0% +5.1 21
2019-08-12 @ Lillestrom L 2-3 1541 1534 24.0% 30.9% 45.1% -5.1 17
2019-08-14 Bodo Glimt L 1-2 1592 1626 41.5% 31.6% 26.9% -8.0 23
2019-08-14 @ Kristiansund W 2-1 1626 1592 26.9% 31.6% 41.5% +8.0 38
2019-08-14 Sarpsborg 08 W 2-1 1541 1556 44.0% 31.1% 24.8% +5.5 22
2019-08-14 @ Viking L 1-2 1556 1541 24.8% 31.1% 44.0% -5.5 14
2019-08-14 Valerenga D 1-1 1540 1620 34.8% 32.2% 33.0% -0.1 17
2019-08-14 @ Stabaek D 1-1 1620 1540 33.0% 32.2% 34.8% +0.1 26
2019-08-17 Rosenborg D 1-1 1601 1667 36.9% 32.2% 31.0% -0.2 34
2019-08-17 @ Odds D 1-1 1667 1601 31.0% 32.2% 36.9% +0.2 29
2019-08-18 Brann W 2-1 1536 1638 31.7% 32.2% 36.1% +7.3 20
2019-08-18 @ Mjondalen L 1-2 1638 1536 36.1% 32.2% 31.7% -7.3 29
2019-08-18 Haugesund L 1-2 1620 1607 47.8% 30.2% 22.0% -8.9 26
2019-08-18 @ Valerenga W 2-1 1607 1620 22.0% 30.2% 47.8% +8.9 24
2019-08-18 Kristiansund W 2-0 1540 1584 39.9% 31.9% 28.2% +12.2 20
2019-08-18 @ Stabaek L 0-2 1584 1540 28.2% 31.9% 39.9% -12.2 23
2019-08-18 Lillestrom D 1-1 1499 1539 40.6% 31.8% 27.6% -0.5 18
2019-08-18 @ Tromso D 1-1 1539 1499 27.6% 31.8% 40.6% +0.5 22
2019-08-18 Molde L 2-3 1497 1734 18.0% 27.8% 54.2% -3.9 18
2019-08-18 @ Ranheim W 3-2 1734 1497 54.2% 27.8% 18.0% +3.9 39
2019-08-18 Stromsgodset W 4-0 1546 1500 52.0% 28.7% 19.3% +16.8 25
2019-08-18 @ Viking L 0-4 1500 1546 19.3% 28.7% 52.0% -16.8 13
2019-08-19 Bodo Glimt D 1-1 1550 1634 34.5% 32.2% 33.3% -0.0 15
2019-08-19 @ Sarpsborg 08 D 1-1 1634 1550 33.3% 32.2% 34.5% +0.0 39
2019-08-24 Stabaek W 3-2 1667 1552 60.5% 24.8% 14.8% +3.1 32
2019-08-24 @ Rosenborg L 2-3 1552 1667 14.8% 24.8% 60.5% -3.1 20
2019-08-25 Lillestrom L 0-2 1616 1539 55.8% 27.1% 17.1% -20.0 24
2019-08-25 @ Haugesund W 2-0 1539 1616 17.1% 27.1% 55.8% +20.0 25
2019-08-25 Mjondalen W 4-0 1572 1543 49.9% 29.5% 20.6% +17.9 26
2019-08-25 @ Kristiansund L 0-4 1543 1572 20.6% 29.5% 49.9% -17.9 20
2019-08-25 Odds D 2-2 1738 1600 63.0% 23.4% 13.6% -1.6 40
2019-08-25 @ Molde D 2-2 1600 1738 13.6% 23.4% 63.0% +1.6 35
2019-08-25 Ranheim D 2-2 1563 1493 55.1% 27.4% 17.5% -1.2 26
2019-08-25 @ Viking D 2-2 1493 1563 17.5% 27.4% 55.1% +1.2 19
2019-08-25 Sarpsborg 08 W 2-1 1484 1550 36.8% 32.2% 31.0% +6.5 16
2019-08-25 @ Stromsgodset L 1-2 1550 1484 31.0% 32.2% 36.8% -6.5 15
2019-08-25 Tromso L 2-3 1631 1499 62.4% 23.7% 13.9% -10.3 29
2019-08-25 @ Brann W 3-2 1499 1631 13.9% 23.7% 62.4% +10.3 21
2019-08-26 Valerenga W 4-0 1634 1612 48.9% 29.8% 21.3% +18.4 42
2019-08-26 @ Bodo Glimt L 0-4 1612 1634 21.3% 29.8% 48.9% -18.4 26
2019-08-30 Bodo Glimt W 3-1 1602 1652 39.2% 31.9% 28.9% +10.8 38
2019-08-30 @ Odds L 1-3 1652 1602 28.9% 31.9% 39.2% -10.8 42
2019-08-31 Stromsgodset W 2-1 1549 1490 53.6% 28.1% 18.4% +4.2 23
2019-08-31 @ Stabaek L 1-2 1490 1549 18.4% 28.1% 53.6% -4.2 16
2019-09-01 Brann L 1-3 1559 1621 37.5% 32.1% 30.3% -12.9 25
2019-09-01 @ Lillestrom W 3-1 1621 1559 30.3% 32.1% 37.5% +12.9 32
2019-09-01 Haugesund D 2-2 1509 1596 33.9% 32.2% 33.8% -0.0 22
2019-09-01 @ Tromso D 2-2 1596 1509 33.8% 32.2% 33.9% +0.0 25
2019-09-01 Kristiansund L 1-2 1494 1590 32.6% 32.2% 35.1% -6.8 19
2019-09-01 @ Ranheim W 2-1 1590 1494 35.1% 32.2% 32.6% +6.8 29
2019-09-01 Molde L 1-3 1525 1736 20.0% 29.1% 50.9% -7.9 20
2019-09-01 @ Mjondalen W 3-1 1736 1525 50.9% 29.1% 20.0% +7.9 43
2019-09-01 Rosenborg D 1-1 1593 1670 35.3% 32.2% 32.5% -0.1 27
2019-09-01 @ Valerenga D 1-1 1670 1593 32.5% 32.2% 35.3% +0.1 33
2019-09-01 Viking D 2-2 1544 1562 43.6% 31.2% 25.2% -0.6 16
2019-09-01 @ Sarpsborg 08 D 2-2 1562 1544 25.2% 31.2% 43.6% +0.6 27
2019-09-14 Lillestrom W 3-1 1671 1546 61.5% 24.2% 14.3% +5.5 36
2019-09-14 @ Rosenborg L 1-3 1546 1671 14.3% 24.2% 61.5% -5.5 25
2019-09-15 Brann W 1-0 1597 1634 41.0% 31.7% 27.3% +6.3 32
2019-09-15 @ Kristiansund L 0-1 1634 1597 27.3% 31.7% 41.0% -6.3 32
2019-09-15 Mjondalen D 0-0 1596 1517 56.1% 27.0% 17.0% -1.9 26
2019-09-15 @ Haugesund D 0-0 1517 1596 17.0% 27.0% 56.1% +1.9 21
2019-09-15 Odds W 2-0 1563 1613 39.1% 32.0% 28.9% +12.4 30
2019-09-15 @ Viking L 0-2 1613 1563 28.9% 32.0% 39.1% -12.4 38
2019-09-15 Ranheim W 1-0 1486 1487 45.9% 30.7% 23.4% +5.6 19
2019-09-15 @ Stromsgodset L 0-1 1487 1486 23.4% 30.7% 45.9% -5.6 19
2019-09-15 Stabaek D 3-3 1641 1553 57.2% 26.4% 16.4% -1.1 43
2019-09-15 @ Bodo Glimt D 3-3 1553 1641 16.4% 26.4% 57.2% +1.1 24
2019-09-15 Tromso W 3-0 1744 1509 73.3% 17.2% 9.5% +5.5 46
2019-09-15 @ Molde L 0-3 1509 1744 9.5% 17.2% 73.3% -5.5 22
2019-09-16 Valerenga W 1-0 1543 1593 39.2% 31.9% 28.8% +6.6 19
2019-09-16 @ Sarpsborg 08 L 0-1 1593 1543 28.8% 31.9% 39.2% -6.6 27
2019-09-21 Haugesund D 0-0 1627 1594 50.4% 29.3% 20.3% -1.4 33
2019-09-21 @ Brann D 0-0 1594 1627 20.3% 29.3% 50.4% +1.4 27
2019-09-22 Bodo Glimt D 1-1 1481 1640 24.9% 31.2% 43.9% +0.8 20
2019-09-22 @ Ranheim D 1-1 1640 1481 43.9% 31.2% 24.9% -0.8 44
2019-09-22 Kristiansund D 1-1 1541 1603 37.5% 32.1% 30.4% -0.3 26
2019-09-22 @ Lillestrom D 1-1 1603 1541 30.4% 32.1% 37.5% +0.3 33
2019-09-22 Rosenborg L 1-2 1519 1676 25.1% 31.2% 43.7% -5.6 21
2019-09-22 @ Mjondalen W 2-1 1676 1519 43.7% 31.2% 25.1% +5.6 39
2019-09-22 Sarpsborg 08 W 3-0 1600 1550 52.6% 28.5% 18.9% +12.6 41
2019-09-22 @ Odds L 0-3 1550 1600 18.9% 28.5% 52.6% -12.6 19
2019-09-22 Stromsgodset L 0-1 1504 1492 47.6% 30.2% 22.2% -9.4 22
2019-09-22 @ Tromso W 1-0 1492 1504 22.2% 30.2% 47.6% +9.4 22
2019-09-22 Viking L 0-4 1586 1575 47.6% 30.2% 22.2% -33.7 27
2019-09-22 @ Valerenga W 4-0 1575 1586 22.2% 30.2% 47.6% +33.7 33
2019-09-23 Molde L 1-2 1554 1750 21.3% 29.8% 48.9% -4.9 24
2019-09-23 @ Stabaek W 2-1 1750 1554 48.9% 29.8% 21.3% +4.9 49
2019-09-28 Brann D 0-0 1682 1626 53.2% 28.2% 18.6% -1.7 40
2019-09-28 @ Rosenborg D 0-0 1626 1682 18.6% 28.2% 53.2% +1.7 34
2019-09-29 Haugesund D 2-2 1603 1595 47.1% 30.4% 22.6% -0.8 34
2019-09-29 @ Kristiansund D 2-2 1595 1603 22.6% 30.4% 47.1% +0.8 28
2019-09-29 Lillestrom W 2-1 1755 1541 71.2% 18.5% 10.3% +2.1 52
2019-09-29 @ Molde L 1-2 1541 1755 10.3% 18.5% 71.2% -2.1 26
2019-09-29 Odds L 2-3 1501 1613 30.5% 32.1% 37.4% -6.1 22
2019-09-29 @ Stromsgodset W 3-2 1613 1501 37.4% 32.1% 30.5% +6.1 44
2019-09-29 Ranheim D 1-1 1553 1482 55.1% 27.4% 17.5% -1.6 28
2019-09-29 @ Valerenga D 1-1 1482 1553 17.5% 27.4% 55.1% +1.6 21
2019-09-29 Stabaek D 0-0 1537 1549 44.5% 31.1% 24.5% -0.9 20
2019-09-29 @ Sarpsborg 08 D 0-0 1549 1537 24.5% 31.1% 44.5% +0.9 25
2019-09-29 Tromso W 4-0 1639 1494 63.8% 22.9% 13.2% +11.0 47
2019-09-29 @ Bodo Glimt L 0-4 1494 1639 13.2% 22.9% 63.8% -11.0 22
2019-09-30 Mjondalen W 4-1 1609 1513 58.1% 26.0% 15.9% +8.8 36
2019-09-30 @ Viking L 1-4 1513 1609 15.9% 26.0% 58.1% -8.8 21
2019-10-04 Stromsgodset D 1-1 1505 1495 47.3% 30.3% 22.4% -1.0 22
2019-10-04 @ Mjondalen D 1-1 1495 1505 22.4% 30.3% 47.3% +1.0 23
2019-10-05 Valerenga D 1-1 1619 1551 54.8% 27.6% 17.7% -1.6 45
2019-10-05 @ Odds D 1-1 1551 1619 17.7% 27.6% 54.8% +1.6 29
2019-10-06 Bodo Glimt D 0-0 1539 1650 30.5% 32.1% 37.4% +0.3 27
2019-10-06 @ Lillestrom D 0-0 1650 1539 37.4% 32.1% 30.5% -0.3 48
2019-10-06 Kristiansund W 5-0 1483 1602 29.5% 32.0% 38.5% +35.5 25
2019-10-06 @ Tromso L 0-5 1602 1483 38.5% 32.0% 29.5% -35.5 34
2019-10-06 Molde D 0-0 1628 1757 28.3% 31.9% 39.8% +0.5 35
2019-10-06 @ Brann D 0-0 1757 1628 39.8% 31.9% 28.3% -0.5 53
2019-10-06 Rosenborg W 2-1 1596 1680 34.4% 32.2% 33.4% +6.9 31
2019-10-06 @ Haugesund L 1-2 1680 1596 33.4% 32.2% 34.4% -6.9 40
2019-10-06 Sarpsborg 08 L 0-2 1484 1536 38.8% 32.0% 29.2% -15.3 21
2019-10-06 @ Ranheim W 2-0 1536 1484 29.2% 32.0% 38.8% +15.3 23
2019-10-06 Viking D 0-0 1550 1618 36.7% 32.2% 31.1% -0.2 26
2019-10-06 @ Stabaek D 0-0 1618 1550 31.1% 32.2% 36.7% +0.2 37
2019-10-19 Rosenborg D 2-2 1567 1673 31.2% 32.2% 36.6% +0.2 35
2019-10-19 @ Kristiansund D 2-2 1673 1567 36.6% 32.2% 31.2% -0.1 41
2019-10-19 Stabaek L 0-2 1553 1550 46.4% 30.6% 23.0% -17.5 29
2019-10-19 @ Valerenga W 2-0 1550 1553 23.0% 30.6% 46.4% +17.5 29
2019-10-20 Brann D 1-1 1552 1628 35.4% 32.2% 32.4% -0.1 24
2019-10-20 @ Sarpsborg 08 D 1-1 1628 1552 32.4% 32.2% 35.4% +0.1 36
2019-10-20 Haugesund W 3-1 1756 1603 64.7% 22.4% 12.9% +4.8 56
2019-10-20 @ Molde L 1-3 1603 1756 12.9% 22.4% 64.7% -4.8 31
2019-10-20 Lillestrom D 1-1 1496 1539 40.2% 31.8% 28.0% -0.5 24
2019-10-20 @ Stromsgodset D 1-1 1539 1496 28.0% 31.8% 40.2% +0.5 28
2019-10-20 Odds W 4-1 1469 1617 26.0% 31.4% 42.6% +20.0 24
2019-10-20 @ Ranheim L 1-4 1617 1469 42.6% 31.4% 26.0% -20.0 45
2019-10-20 Tromso W 2-1 1618 1519 58.5% 25.8% 15.7% +3.5 40
2019-10-20 @ Viking L 1-2 1519 1618 15.7% 25.8% 58.5% -3.5 25
2019-10-21 Mjondalen D 0-0 1650 1503 64.0% 22.8% 13.2% -2.5 49
2019-10-21 @ Bodo Glimt D 0-0 1503 1650 13.2% 22.8% 64.0% +2.5 23
2019-10-26 Valerenga D 0-0 1539 1535 46.6% 30.5% 22.9% -1.1 29
2019-10-26 @ Lillestrom D 0-0 1535 1539 22.9% 30.5% 46.6% +1.1 30
2019-10-27 Molde W 3-1 1673 1761 33.7% 32.2% 34.0% +12.1 44
2019-10-27 @ Rosenborg L 1-3 1761 1673 34.0% 32.2% 33.7% -12.1 56
2019-10-27 Odds D 0-0 1567 1597 41.9% 31.6% 26.5% -0.7 30
2019-10-27 @ Stabaek D 0-0 1597 1567 26.5% 31.6% 41.9% +0.7 46
2019-10-27 Ranheim W 4-2 1515 1489 49.5% 29.6% 20.9% +7.4 28
2019-10-27 @ Tromso L 2-4 1489 1515 20.9% 29.6% 49.5% -7.4 24
2019-10-27 Sarpsborg 08 D 0-0 1506 1552 39.8% 31.9% 28.3% -0.5 24
2019-10-27 @ Mjondalen D 0-0 1552 1506 28.3% 31.9% 39.8% +0.5 25
2019-10-27 Stromsgodset D 2-2 1598 1495 59.0% 25.6% 15.5% -1.4 32
2019-10-27 @ Haugesund D 2-2 1495 1598 15.5% 25.6% 59.0% +1.4 25
2019-10-27 Viking W 4-2 1567 1621 38.6% 32.0% 29.4% +9.8 38
2019-10-27 @ Kristiansund L 2-4 1621 1567 29.4% 32.0% 38.6% -9.8 40
2019-10-28 Bodo Glimt D 1-1 1628 1648 43.5% 31.3% 25.3% -0.7 37
2019-10-28 @ Brann D 1-1 1648 1628 25.3% 31.3% 43.5% +0.7 50
2019-11-01 Rosenborg D 3-3 1497 1685 22.0% 30.1% 47.9% +0.7 26
2019-11-01 @ Stromsgodset D 3-3 1685 1497 47.9% 30.1% 22.0% -0.7 45
2019-11-02 Kristiansund W 2-0 1749 1577 66.8% 21.2% 12.0% +5.1 59
2019-11-02 @ Molde L 0-2 1577 1749 12.0% 21.2% 66.8% -5.1 38
2019-11-03 Brann W 1-0 1536 1628 33.3% 32.2% 34.4% +7.5 33
2019-11-03 @ Valerenga L 0-1 1628 1536 34.4% 32.2% 33.3% -7.5 37
2019-11-03 Haugesund D 2-2 1648 1597 52.7% 28.4% 18.9% -1.1 51
2019-11-03 @ Bodo Glimt D 2-2 1597 1648 18.9% 28.4% 52.7% +1.1 33
2019-11-03 Lillestrom W 3-0 1612 1538 55.4% 27.3% 17.3% +11.5 43
2019-11-03 @ Viking L 0-3 1538 1612 17.3% 27.3% 55.4% -11.5 29
2019-11-03 Stabaek L 0-2 1481 1566 34.2% 32.2% 33.6% -14.0 24
2019-11-03 @ Ranheim W 2-0 1566 1481 33.6% 32.2% 34.2% +14.0 33
2019-11-03 Tromso W 3-2 1552 1522 49.9% 29.5% 20.6% +4.5 28
2019-11-03 @ Sarpsborg 08 L 2-3 1522 1552 20.6% 29.5% 49.9% -4.5 28
2019-11-04 Mjondalen W 3-2 1598 1505 57.8% 26.2% 16.1% +3.5 49
2019-11-04 @ Odds L 2-3 1505 1598 16.1% 26.2% 57.8% -3.5 24
2019-11-08 Odds W 1-0 1620 1602 48.5% 29.9% 21.6% +5.2 40
2019-11-08 @ Brann L 0-1 1602 1620 21.6% 29.9% 48.5% -5.2 49
2019-11-09 Viking W 1-0 1598 1623 42.6% 31.4% 25.9% +6.1 36
2019-11-09 @ Haugesund L 0-1 1623 1598 25.9% 31.4% 42.6% -6.1 43
2019-11-10 Bodo Glimt W 3-2 1684 1647 50.9% 29.1% 20.0% +4.3 48
2019-11-10 @ Rosenborg L 2-3 1647 1684 20.0% 29.1% 50.9% -4.3 51
2019-11-10 Ranheim W 3-1 1502 1467 50.6% 29.2% 20.2% +8.0 27
2019-11-10 @ Mjondalen L 1-3 1467 1502 20.2% 29.2% 50.6% -8.0 24
2019-11-10 Sarpsborg 08 W 4-0 1572 1556 48.0% 30.1% 21.9% +18.8 41
2019-11-10 @ Kristiansund L 0-4 1556 1572 21.9% 30.1% 48.0% -18.8 28
2019-11-10 Stabaek L 1-3 1527 1580 38.6% 32.0% 29.3% -13.2 29
2019-11-10 @ Lillestrom W 3-1 1580 1527 29.3% 32.0% 38.6% +13.2 36
2019-11-10 Stromsgodset W 4-0 1754 1498 75.3% 15.9% 8.7% +6.4 62
2019-11-10 @ Molde L 0-4 1498 1754 8.7% 15.9% 75.3% -6.4 26
2019-11-10 Valerenga D 0-0 1518 1544 42.5% 31.4% 26.0% -0.8 29
2019-11-10 @ Tromso D 0-0 1544 1518 26.0% 31.4% 42.5% +0.7 34
2019-11-24 Brann W 6-0 1491 1625 27.7% 31.8% 40.5% +43.8 29
2019-11-24 @ Stromsgodset L 0-6 1625 1491 40.5% 31.8% 27.7% -43.8 40
2019-11-24 Haugesund D 1-1 1538 1604 36.9% 32.2% 31.0% -0.2 29
2019-11-24 @ Sarpsborg 08 D 1-1 1604 1538 31.0% 32.2% 36.9% +0.2 37
2019-11-24 Kristiansund W 3-0 1643 1591 52.8% 28.4% 18.8% +12.5 54
2019-11-24 @ Bodo Glimt L 0-3 1591 1643 18.8% 28.4% 52.8% -12.5 41
2019-11-24 Lillestrom W 2-1 1459 1514 38.6% 32.0% 29.4% +6.3 27
2019-11-24 @ Ranheim L 1-2 1514 1459 29.4% 32.0% 38.6% -6.3 29
2019-11-24 Mjondalen W 4-2 1594 1510 56.7% 26.7% 16.6% +5.9 39
2019-11-24 @ Stabaek L 2-4 1510 1594 16.6% 26.7% 56.7% -5.9 27
2019-11-24 Molde L 2-4 1545 1761 19.6% 28.9% 51.4% -6.9 34
2019-11-24 @ Valerenga W 4-2 1761 1545 51.4% 28.9% 19.6% +7.0 65
2019-11-24 Rosenborg D 2-2 1617 1689 36.1% 32.2% 31.7% -0.1 44
2019-11-24 @ Viking D 2-2 1689 1617 31.7% 32.2% 36.1% +0.1 49
2019-11-24 Tromso W 2-1 1596 1517 56.1% 26.9% 16.9% +3.9 52
2019-11-24 @ Odds L 1-2 1517 1596 16.9% 26.9% 56.1% -3.9 29
2019-12-01 Bodo Glimt W 4-2 1767 1655 60.1% 25.0% 14.9% +5.2 68
2019-12-01 @ Molde L 2-4 1655 1767 14.9% 25.0% 60.1% -5.2 54
2019-12-01 Odds W 4-1 1604 1600 46.6% 30.5% 22.9% +12.7 40
2019-12-01 @ Haugesund L 1-4 1600 1604 22.9% 30.5% 46.6% -12.7 52
2019-12-01 Ranheim W 3-2 1689 1466 72.1% 17.9% 9.9% +1.9 52
2019-12-01 @ Rosenborg L 2-3 1466 1689 9.9% 17.9% 72.1% -1.9 27
2019-12-01 Sarpsborg 08 D 0-0 1507 1537 41.9% 31.6% 26.5% -0.7 30
2019-12-01 @ Lillestrom D 0-0 1537 1507 26.5% 31.6% 41.9% +0.7 30
2019-12-01 Stabaek D 1-1 1513 1600 34.0% 32.2% 33.7% -0.0 30
2019-12-01 @ Tromso D 1-1 1600 1513 33.7% 32.2% 34.0% +0.0 40
2019-12-01 Stromsgodset L 1-2 1578 1535 51.6% 28.8% 19.5% -9.4 41
2019-12-01 @ Kristiansund W 2-1 1535 1578 19.5% 28.8% 51.6% +9.5 32
2019-12-01 Valerenga W 1-0 1504 1538 41.5% 31.6% 26.9% +6.2 30
2019-12-01 @ Mjondalen L 0-1 1538 1504 26.9% 31.6% 41.5% -6.2 34
2019-12-01 Viking L 1-5 1581 1617 41.2% 31.7% 27.1% -25.3 40
2019-12-01 @ Brann W 5-1 1617 1581 27.1% 31.7% 41.2% +25.3 47

Playoff Game Log

Every playoff game for the team selected at the top of the tab (empty if they didn't reach the postseason). Sort any column by clicking its header. @ before an opponent name indicates an away game; the record column shows the team's running playoff record.

Date Opponent Score Pre Elo Opp Elo Win % Tie % Loss % Elo Δ Record
2019-12-07 Lillestrom W 2-1 1498 1507 44.9% 30.9% 24.1% +5.4 1-0
2019-12-07 @ Start L 1-2 1507 1498 24.1% 30.9% 44.9% -5.4 0-1
2019-12-11 Start W 4-3 1501 1504 45.7% 30.8% 23.5% +4.9 1-1
2019-12-11 @ Lillestrom L 3-4 1504 1501 23.5% 30.8% 45.7% -4.9 1-1

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 2019-08-11 13.82% Ranheim 1485 1 @ Haugesund 1619 0
2 2019-08-25 13.87% Tromso 1499 3 @ Brann 1631 2
3 2019-05-25 15.45% Lillestrom 1513 3 @ Valerenga 1617 0
4 2019-05-05 16.31% Ranheim 1520 1 @ Brann 1609 0
5 2019-08-25 17.10% Lillestrom 1539 2 @ Haugesund 1616 0
6 2019-06-23 17.18% Stabaek 1522 1 @ Kristiansund 1597 0
7 2019-05-19 17.37% Ranheim 1503 3 @ Sarpsborg 08 1575 1
8 2019-06-30 18.44% Valerenga 1573 4 @ Haugesund 1630 1
9 2019-04-12 18.86% Mjondalen 1534 3 @ Stromsgodset 1585 2
10 2019-12-01 19.52% Stromsgodset 1535 2 @ Kristiansund 1578 1
11 2019-05-26 20.19% @ Tromso 1497 2 Molde 1706 1
12 2019-05-16 20.29% Haugesund 1607 2 @ Rosenborg 1640 0
13 2019-06-17 20.96% Tromso 1506 1 @ Stabaek 1531 0
14 2019-08-18 22.03% Haugesund 1607 2 @ Valerenga 1620 1
15 2019-09-22 22.17% Stromsgodset 1492 1 @ Tromso 1504 0
16 2019-04-28 22.20% Kristiansund 1566 3 @ Stromsgodset 1578 2
17 2019-09-22 22.20% Viking 1575 4 @ Valerenga 1586 0
18 2019-04-07 22.27% Viking 1548 2 @ Tromso 1559 0
19 2019-05-12 22.32% Kristiansund 1579 1 @ Sarpsborg 08 1589 0
20 2019-10-19 23.01% Stabaek 1550 2 @ Valerenga 1553 0
21 2019-05-19 23.65% Brann 1611 2 @ Bodo Glimt 1608 1
22 2019-07-05 23.79% Stabaek 1531 2 @ Stromsgodset 1526 0
23 2019-05-26 23.85% Rosenborg 1625 1 @ Brann 1620 0
24 2019-06-16 24.83% Viking 1558 2 @ Lillestrom 1543 0
25 2019-03-31 25.21% Tromso 1550 2 @ Ranheim 1532 1

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 2019-11-24 43.84 @ Stromsgodset 6 1491 27.68% Brann 0 1625 40.54% 31.78%
2 2019-10-06 35.53 @ Tromso 5 1483 29.52% Kristiansund 0 1602 38.45% 32.03%
3 2019-09-22 33.70 Viking 4 1575 22.20% @ Valerenga 0 1586 47.56% 30.23%
4 2019-07-05 32.85 @ Valerenga 6 1596 41.31% Bodo Glimt 0 1631 27.02% 31.66%
5 2019-05-25 30.30 Lillestrom 3 1513 15.45% @ Valerenga 0 1617 59.03% 25.52%
6 2019-12-01 25.26 Viking 5 1617 27.10% @ Brann 1 1581 41.22% 31.68%
7 2019-05-12 24.18 Valerenga 5 1584 29.22% @ Ranheim 1 1531 38.79% 32.00%
8 2019-06-30 23.75 Valerenga 4 1573 18.44% @ Haugesund 1 1630 53.43% 28.13%
9 2019-05-19 21.36 Odds 3 1602 31.12% @ Lillestrom 0 1535 36.71% 32.17%
10 2019-06-22 21.31 Molde 4 1702 43.43% @ Stromsgodset 0 1547 25.30% 31.28%
11 2019-10-20 20.04 @ Ranheim 4 1469 25.97% Odds 1 1617 42.58% 31.44%
12 2019-08-25 20.03 Lillestrom 2 1539 17.10% @ Haugesund 0 1616 55.82% 27.08%
13 2019-06-30 20.00 @ Lillestrom 4 1523 45.85% Tromso 0 1524 23.44% 30.71%
14 2019-11-10 18.84 @ Kristiansund 4 1572 48.04% Sarpsborg 08 0 1556 21.87% 30.09%
15 2019-05-16 18.56 Haugesund 2 1607 20.29% @ Rosenborg 0 1640 50.41% 29.30%
16 2019-08-04 18.52 Brann 3 1620 38.04% @ Ranheim 0 1504 29.89% 32.07%
17 2019-08-26 18.36 @ Bodo Glimt 4 1634 48.94% Valerenga 0 1612 21.26% 29.80%
18 2019-08-25 17.88 @ Kristiansund 4 1572 49.85% Mjondalen 0 1543 20.65% 29.50%
19 2019-05-05 17.76 @ Bodo Glimt 4 1582 50.08% Lillestrom 0 1551 20.50% 29.42%
20 2019-04-07 17.74 Viking 2 1548 22.27% @ Tromso 0 1559 47.47% 30.26%
21 2019-10-19 17.45 Stabaek 2 1550 23.01% @ Valerenga 0 1553 46.44% 30.55%
22 2019-05-26 17.27 Haugesund 4 1624 33.21% @ Mjondalen 1 1541 34.54% 32.25%
23 2019-05-19 17.24 Ranheim 3 1503 17.37% @ Sarpsborg 08 1 1575 55.32% 27.31%
24 2019-07-05 17.15 Stabaek 2 1531 23.79% @ Stromsgodset 0 1526 45.37% 30.83%
25 2019-06-16 16.77 Viking 2 1558 24.83% @ Lillestrom 0 1543 44.02% 31.15%