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2018 Eliteserien Season

240 games

Final

Champion

Rosenborg

64 points

Relegated

No relegation

Biggest Overachiever

Haugesund

8.97 points above expected

53 points · 44.03 expected points

Biggest Disappointment

Stromsgodset

13.50 points below expected

31 points · 44.50 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 Rosenborg 30 19 7 4 64 51 24 +27 59.22 +4.78
2 Molde 30 18 5 7 59 63 36 +27 50.80 +8.20
3 Brann 30 17 7 6 58 45 31 +14 49.07 +8.93
4 Haugesund 30 16 5 9 53 45 33 +12 44.03 +8.97
5 Kristiansund 30 13 7 10 46 46 41 +5 39.87 +6.13
6 Valerenga 30 11 9 10 42 39 44 -5 42.54 -0.54
7 Ranheim 30 12 6 12 42 43 50 -7 33.83 +8.17
8 Sarpsborg 08 30 11 8 11 41 46 39 +7 44.96 -3.96
9 Odds 30 11 7 12 40 39 38 +1 40.95 -0.95
10 Tromso 30 11 3 16 36 41 48 -7 39.79 -3.79
11 Bodo Glimt 30 6 14 10 32 32 35 -3 38.60 -6.60
12 Lillestrom 30 7 11 12 32 34 44 -10 36.15 -4.15
13 Stromsgodset 30 7 10 13 31 46 48 -2 44.50 -13.50
14 Stabaek 30 6 11 13 29 37 50 -13 35.35 -6.35
15 Start 30 8 5 17 29 30 54 -24 28.03 +0.97
16 Sandefjord 30 4 11 15 23 35 57 -22 30.02 -7.02

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
Rosenborg 1740 64 59.22 +4.78 78.1% 34 48 55 59 64 70 84
Molde 1688 59 50.80 +8.20 90.1% 28 39 46 51 55 62 77
Brann 1611 58 49.07 +8.93 91.8% 21 38 44 49 54 60 74
Haugesund 1592 53 44.03 +8.97 91.5% 19 33 39 44 49 55 73
Sarpsborg 08 1567 41 44.96 -3.96 30.4% 17 34 40 45 49 56 72
Kristiansund 1560 46 39.87 +6.13 83.3% 13 29 35 40 44 51 65
Stromsgodset 1543 31 44.50 -13.50 3.2% 18 33 40 44 49 56 70
Valerenga 1541 42 42.54 -0.54 49.7% 19 31 38 43 47 54 69
Odds 1525 40 40.95 -0.95 47.9% 14 30 36 41 46 52 67
Bodo Glimt 1519 32 38.60 -6.60 18.5% 12 28 34 39 43 50 67
Stabaek 1506 29 35.35 -6.35 19.3% 10 25 31 35 40 46 62
Lillestrom 1502 32 36.15 -4.15 29.9% 12 25 31 36 41 48 61
Tromso 1490 36 39.79 -3.79 31.9% 16 29 35 40 44 51 68
Ranheim 1461 42 33.83 +8.17 90.2% 11 23 29 34 38 45 58
Sandefjord 1436 23 30.02 -7.02 15.7% 9 19 26 30 34 41 55
Start 1423 29 28.03 +0.97 59.8% 6 18 24 28 32 39 51

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 MOL ODD RAN ROS SAN S0 STA STA STR TRO VAL
Bodo Glimt —
0-1-1
2.23
0-0-2
2.58
1-1-0
2.51
1-1-0
2.84
1-0-1
1.89
0-1-1
2.61
1-1-0
2.84
0-1-1
1.45
0-2-0
3.56
1-1-0
2.27
0-2-0
2.96
0-0-2
3.55
0-1-1
2.27
1-0-1
2.62
0-2-0
2.53
Brann
1-1-0
3.23
 —
1-1-0
3.06
1-0-1
3.15
0-2-0
3.65
0-0-2
2.84
2-0-0
3.43
2-0-0
3.65
1-0-1
2.02
1-1-0
3.90
2-0-0
2.73
2-0-0
3.52
2-0-0
4.21
1-1-0
2.95
1-0-1
3.36
0-1-1
3.29
Haugesund
2-0-0
2.89
0-1-1
2.42
 —
1-0-1
3.09
0-2-0
3.36
0-0-2
2.18
2-0-0
2.79
1-0-1
3.50
0-0-2
1.76
2-0-0
3.76
0-1-1
2.80
1-0-1
3.44
2-0-0
3.76
2-0-0
2.60
2-0-0
2.79
1-1-0
2.87
Kristiansund
0-1-1
2.95
1-0-1
2.31
1-0-1
2.36
 —
1-0-1
3.06
1-0-1
2.16
1-1-0
2.67
0-0-2
3.06
0-1-1
1.55
1-1-0
3.24
1-1-0
2.26
2-0-0
3.08
0-1-1
3.71
2-0-0
2.38
1-1-0
2.55
1-0-1
2.48
Lillestrom
0-1-1
2.61
0-2-0
1.84
0-2-0
2.11
1-0-1
2.39
 —
0-1-1
1.87
0-1-1
2.53
0-0-2
2.98
0-1-1
1.36
2-0-0
3.10
0-1-1
2.24
1-0-1
2.73
1-0-1
3.32
0-2-0
2.33
2-0-0
2.40
0-0-2
2.34
Molde
1-0-1
3.59
2-0-0
2.63
2-0-0
3.29
1-0-1
3.33
1-1-0
3.61
 —
0-1-1
3.39
0-0-2
3.70
1-0-1
2.20
2-0-0
3.96
0-2-0
3.25
1-0-1
3.78
2-0-0
4.11
2-0-0
3.13
2-0-0
3.75
1-1-0
3.20
Odds
1-1-0
2.85
0-0-2
2.05
0-0-2
2.67
0-1-1
2.79
1-1-0
2.93
1-1-0
2.08
 —
1-0-1
3.30
0-1-1
1.67
1-1-0
3.55
2-0-0
2.37
0-0-2
3.26
2-0-0
3.64
0-1-1
2.41
1-0-1
2.79
1-0-1
2.53
Ranheim
0-1-1
2.61
0-0-2
1.84
1-0-1
1.98
2-0-0
2.40
2-0-0
2.48
2-0-0
1.82
1-0-1
2.17
 —
0-1-1
1.29
1-1-0
2.73
1-0-1
2.01
1-0-1
2.37
1-1-0
3.23
0-1-1
2.26
0-0-2
2.49
0-1-1
2.10
Rosenborg
1-1-0
4.10
1-0-1
3.45
2-0-0
3.74
1-1-0
3.98
1-1-0
4.20
1-0-1
3.26
1-1-0
3.85
1-1-0
4.29
 —
1-1-0
4.61
1-0-1
3.73
1-1-0
4.20
2-0-0
4.57
2-0-0
3.63
1-0-1
3.81
2-0-0
3.80
Sandefjord
0-2-0
1.92
0-1-1
1.63
0-0-2
1.75
0-1-1
2.25
0-0-2
2.35
0-0-2
1.56
0-1-1
1.93
0-1-1
2.75
0-1-1
1.03
 —
0-1-1
1.82
0-2-0
2.45
2-0-0
2.69
1-0-1
1.90
1-0-1
2.01
0-1-1
1.97
Sarpsborg 08
0-1-1
3.20
0-0-2
2.73
1-1-0
2.64
0-1-1
3.22
1-1-0
3.24
0-2-0
2.24
0-0-2
3.09
1-0-1
3.47
1-0-1
1.79
1-1-0
3.67
 —
2-0-0
3.47
1-0-1
3.75
1-0-1
2.72
1-0-1
3.03
1-1-0
2.78
Stabaek
0-2-0
2.50
0-0-2
1.96
1-0-1
2.04
0-0-2
2.37
1-0-1
2.72
1-0-1
1.72
2-0-0
2.21
1-0-1
3.08
0-1-1
1.37
0-2-0
3.02
0-0-2
2.01
 —
0-1-1
3.35
0-2-0
2.40
0-2-0
2.47
0-1-1
2.16
Start
2-0-0
1.94
0-0-2
1.35
0-0-2
1.75
1-1-0
1.78
1-0-1
2.15
0-0-2
1.44
0-0-2
1.85
0-1-1
2.23
0-0-2
1.05
0-0-2
2.76
1-0-1
1.77
1-1-0
2.13
 —
0-2-0
1.67
2-0-0
2.20
0-0-2
1.99
Stromsgodset
1-1-0
3.19
0-1-1
2.52
0-0-2
2.85
0-0-2
3.08
0-2-0
3.14
0-0-2
2.32
1-1-0
3.06
1-1-0
3.20
0-0-2
1.87
1-0-1
3.59
1-0-1
2.75
0-2-0
3.06
0-2-0
3.85
 —
0-0-2
3.17
2-0-0
2.78
Tromso
1-0-1
2.83
1-0-1
2.11
0-0-2
2.67
0-1-1
2.91
0-0-2
3.06
0-0-2
1.75
1-0-1
2.68
2-0-0
2.97
1-0-1
1.70
1-0-1
3.46
1-0-1
2.42
0-2-0
3.00
0-0-2
3.27
2-0-0
2.29
 —
1-0-1
2.63
Valerenga
0-2-0
2.93
1-1-0
2.18
0-1-1
2.60
1-0-1
2.97
2-0-0
3.12
0-1-1
2.28
1-0-1
2.93
1-1-0
3.37
0-0-2
1.70
1-1-0
3.52
0-1-1
2.68
1-1-0
3.31
2-0-0
3.50
0-0-2
2.68
1-0-1
2.82
 —

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 0.60 +11.6
Allowed 0.69 -11.2
Differential 0.85 +7.5

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
04.58%9.17%4.38%3.12%1.46%0.42%23.12%
19.17%14.17%7.50%4.38%1.67%0.83%37.71%
24.38%7.50%6.67%2.71%1.04%—22.29%
33.12%4.38%2.71%0.83%0.21%—11.25%
41.46%1.67%1.04%0.21%——4.38%
5+0.42%0.83%————1.25%
Total23.12%37.71%22.29%11.25%4.38%1.25%100%

Summary Statistics

Scored Allowed Difference
Mean 1.40 1.40 +0.00
SD 1.17 1.17 1.74
CV 0.83 0.83 —
Max 6 6 +5
Min 0 0 -5

Games Played: 240

↓ Scored | Allowed →012345+Total
010.00%20.00%3.33%3.33%3.33%—40.00%
1—26.67%3.33%———30.00%
2—6.67%10.00%———16.67%
33.33%6.67%————10.00%
43.33%—————3.33%
5+———————
Total16.67%60.00%16.67%3.33%3.33%—100%

Summary Statistics

Scored Allowed Difference
Mean 1.07 1.17 -0.10
SD 1.14 0.87 1.56
CV 1.07 0.75 —
Max 4 4 +4
Min 0 0 -4

Games Played: 30

↓ Scored | Allowed →012345+Total
03.33%—3.33%—3.33%—10.00%
120.00%16.67%6.67%3.33%—3.33%50.00%
210.00%10.00%3.33%———23.33%
36.67%6.67%————13.33%
4—3.33%————3.33%
5+———————
Total40.00%36.67%13.33%3.33%3.33%3.33%100%

Summary Statistics

Scored Allowed Difference
Mean 1.50 1.03 +0.47
SD 0.97 1.25 1.78
CV 0.65 1.21 —
Max 4 5 +3
Min 0 0 -4

Games Played: 30

↓ Scored | Allowed →012345+Total
0—6.67%3.33%———10.00%
120.00%10.00%13.33%3.33%——46.67%
213.33%6.67%6.67%—3.33%—30.00%
33.33%3.33%3.33%———10.00%
4——3.33%———3.33%
5+———————
Total36.67%26.67%30.00%3.33%3.33%—100%

Summary Statistics

Scored Allowed Difference
Mean 1.50 1.10 +0.40
SD 0.94 1.06 1.38
CV 0.63 0.97 —
Max 4 4 +3
Min 0 0 -2

Games Played: 30

↓ Scored | Allowed →012345+Total
03.33%6.67%10.00%3.33%——23.33%
110.00%13.33%3.33%3.33%——30.00%
23.33%13.33%3.33%6.67%——26.67%
3—3.33%6.67%3.33%——13.33%
43.33%—————3.33%
5+—3.33%————3.33%
Total20.00%40.00%23.33%16.67%——100%

Summary Statistics

Scored Allowed Difference
Mean 1.53 1.37 +0.17
SD 1.28 1.00 1.64
CV 0.83 0.73 —
Max 5 3 +4
Min 0 0 -3

Games Played: 30

↓ Scored | Allowed →012345+Total
06.67%10.00%3.33%6.67%——26.67%
110.00%16.67%6.67%6.67%——40.00%
23.33%3.33%13.33%6.67%——26.67%
3—3.33%3.33%———6.67%
4———————
5+———————
Total20.00%33.33%26.67%20.00%——100%

Summary Statistics

Scored Allowed Difference
Mean 1.13 1.47 -0.33
SD 0.90 1.04 1.27
CV 0.79 0.71 —
Max 3 3 +2
Min 0 0 -3

Games Played: 30

↓ Scored | Allowed →012345+Total
03.33%6.67%——3.33%—13.33%
110.00%3.33%3.33%6.67%——23.33%
26.67%10.00%10.00%3.33%——30.00%
33.33%10.00%3.33%———16.67%
43.33%—3.33%———6.67%
5+3.33%6.67%————10.00%
Total30.00%36.67%20.00%10.00%3.33%—100%

Summary Statistics

Scored Allowed Difference
Mean 2.10 1.20 +0.90
SD 1.47 1.10 2.01
CV 0.70 0.91 —
Max 5 4 +5
Min 0 0 -4

Games Played: 30

↓ Scored | Allowed →012345+Total
03.33%6.67%3.33%6.67%——20.00%
113.33%16.67%16.67%6.67%——53.33%
23.33%3.33%3.33%———10.00%
33.33%6.67%3.33%———13.33%
4———————
5+3.33%—————3.33%
Total26.67%33.33%26.67%13.33%——100%

Summary Statistics

Scored Allowed Difference
Mean 1.30 1.27 +0.03
SD 1.15 1.01 1.75
CV 0.88 0.80 —
Max 5 3 +5
Min 0 0 -3

Games Played: 30

↓ Scored | Allowed →012345+Total
06.67%3.33%10.00%3.33%6.67%—30.00%
13.33%10.00%6.67%3.33%3.33%—26.67%
23.33%10.00%3.33%3.33%——20.00%
3—10.00%6.67%———16.67%
4—3.33%3.33%———6.67%
5+———————
Total13.33%36.67%30.00%10.00%10.00%—100%

Summary Statistics

Scored Allowed Difference
Mean 1.43 1.67 -0.23
SD 1.28 1.15 1.89
CV 0.89 0.69 —
Max 4 4 +3
Min 0 0 -4

Games Played: 30

↓ Scored | Allowed →012345+Total
03.33%6.67%————10.00%
120.00%16.67%6.67%———43.33%
26.67%10.00%3.33%———20.00%
36.67%10.00%3.33%———20.00%
43.33%——3.33%——6.67%
5+———————
Total40.00%43.33%13.33%3.33%——100%

Summary Statistics

Scored Allowed Difference
Mean 1.70 0.80 +0.90
SD 1.12 0.81 1.24
CV 0.66 1.01 —
Max 4 3 +4
Min 0 0 -1

Games Played: 30

↓ Scored | Allowed →012345+Total
0—16.67%6.67%——6.67%30.00%
13.33%26.67%3.33%6.67%3.33%—43.33%
2—3.33%3.33%3.33%3.33%—13.33%
3———6.67%——6.67%
4—6.67%————6.67%
5+———————
Total3.33%53.33%13.33%16.67%6.67%6.67%100%

Summary Statistics

Scored Allowed Difference
Mean 1.17 1.90 -0.73
SD 1.15 1.32 1.76
CV 0.98 0.70 —
Max 4 5 +3
Min 0 0 -5

Games Played: 30

↓ Scored | Allowed →012345+Total
06.67%6.67%3.33%———16.67%
16.67%10.00%13.33%10.00%——40.00%
26.67%6.67%10.00%3.33%——26.67%
33.33%3.33%————6.67%
43.33%3.33%3.33%———10.00%
5+———————
Total26.67%30.00%30.00%13.33%——100%

Summary Statistics

Scored Allowed Difference
Mean 1.53 1.30 +0.23
SD 1.17 1.02 1.61
CV 0.76 0.79 —
Max 4 3 +4
Min 0 0 -2

Games Played: 30

↓ Scored | Allowed →012345+Total
06.67%13.33%3.33%6.67%——30.00%
1—20.00%6.67%3.33%3.33%—33.33%
2—6.67%6.67%3.33%3.33%—20.00%
33.33%3.33%6.67%3.33%——16.67%
4———————
5+———————
Total10.00%43.33%23.33%16.67%6.67%—100%

Summary Statistics

Scored Allowed Difference
Mean 1.23 1.67 -0.43
SD 1.07 1.09 1.41
CV 0.87 0.66 —
Max 3 4 +3
Min 0 0 -3

Games Played: 30

↓ Scored | Allowed →012345+Total
03.33%16.67%6.67%3.33%3.33%—33.33%
16.67%13.33%—10.00%10.00%3.33%43.33%
23.33%10.00%—3.33%——16.67%
33.33%—————3.33%
4—3.33%————3.33%
5+———————
Total16.67%43.33%6.67%16.67%13.33%3.33%100%

Summary Statistics

Scored Allowed Difference
Mean 1.00 1.80 -0.80
SD 0.98 1.54 1.95
CV 0.98 0.86 —
Max 4 6 +3
Min 0 0 -5

Games Played: 30

↓ Scored | Allowed →012345+Total
0—10.00%3.33%—3.33%—16.67%
13.33%16.67%10.00%6.67%——36.67%
26.67%—16.67%3.33%3.33%—30.00%
36.67%———3.33%—10.00%
43.33%3.33%————6.67%
5+———————
Total20.00%30.00%30.00%10.00%10.00%—100%

Summary Statistics

Scored Allowed Difference
Mean 1.53 1.60 -0.07
SD 1.11 1.22 1.78
CV 0.72 0.76 —
Max 4 4 +4
Min 0 0 -4

Games Played: 30

↓ Scored | Allowed →012345+Total
06.67%13.33%3.33%6.67%——30.00%
13.33%3.33%20.00%—3.33%3.33%33.33%
2—13.33%——3.33%—16.67%
33.33%3.33%3.33%———10.00%
43.33%3.33%3.33%———10.00%
5+———————
Total16.67%36.67%30.00%6.67%6.67%3.33%100%

Summary Statistics

Scored Allowed Difference
Mean 1.37 1.60 -0.23
SD 1.30 1.25 1.92
CV 0.95 0.78 —
Max 4 5 +4
Min 0 0 -4

Games Played: 30

↓ Scored | Allowed →012345+Total
010.00%3.33%6.67%10.00%——30.00%
116.67%6.67%——3.33%3.33%30.00%
23.33%6.67%13.33%6.67%——30.00%
33.33%—3.33%———6.67%
4———————
5+—3.33%————3.33%
Total33.33%20.00%23.33%16.67%3.33%3.33%100%

Summary Statistics

Scored Allowed Difference
Mean 1.30 1.47 -0.17
SD 1.29 1.38 1.93
CV 0.99 0.94 —
Max 6 5 +5
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 Haugesund 53 44.03 +8.97
2 Brann 58 49.07 +8.93
3 Molde 59 50.80 +8.20
4 Ranheim 42 33.83 +8.17
5 Kristiansund 46 39.87 +6.13

Biggest Disappointments

# Team Actual Sim vsSim
1 Stromsgodset 31 44.50 -13.50
2 Sandefjord 23 30.02 -7.02
3 Bodo Glimt 32 38.60 -6.60
4 Stabaek 29 35.35 -6.35
5 Lillestrom 32 36.15 -4.15

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 Brann 7 Apr 8 – May 12 1 in 196
2 Kristiansund 5 Oct 7 – Nov 11 1 in 114
3 Ranheim 3 Apr 11 – Apr 22 1 in 67
4 Tromso 3 Jun 11 – Jul 1 1 in 34
5 Molde 4 Sep 17 – Oct 7 1 in 30

Most Unlikely Losing Streaks

# Team Games Dates Probability
1 Sarpsborg 08 7 Aug 19 – Oct 7 1 in 2,688
2 Sandefjord 8 Apr 22 – Jun 10 1 in 331
3 Tromso 5 Jul 7 – Aug 25 1 in 193
4 Molde 2 Aug 19 – Aug 26 1 in 34
5 Bodo Glimt 4 Mar 18 – Apr 16 1 in 31

Most Unlikely Unbeaten Streaks

# Team Games Dates Probability
1 Sandefjord 6 Sep 1 – Oct 20 1 in 194
2 Brann 14 Mar 18 – Jun 25 1 in 143
3 Odds 10 Jul 8 – Oct 7 1 in 68
4 Ranheim 5 Apr 28 – May 21 1 in 32
5 Molde 10 Sep 2 – Nov 24 1 in 19

Most Unlikely Winless Streaks

# Team Games Dates Probability
1 Sandefjord 15 Apr 8 – Aug 5 1 in 129
2 Bodo Glimt 9 Sep 16 – Nov 24 1 in 66
3 Sarpsborg 08 8 Aug 19 – Oct 20 1 in 45
4 Lillestrom 10 May 16 – Aug 19 1 in 23
5 Stabaek 6 Mar 11 – Apr 25 1 in 14

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
Rosenborg64.84%18.64%8.35%3.94%1.87%1.06%0.65%0.30%0.17%0.07%0.06%0.03%0.02%———
Molde14.23%24.87%17.77%12.25%9.23%6.40%4.80%3.47%2.39%1.68%1.05%0.96%0.52%0.25%0.12%0.01%
Brann8.69%18.04%18.26%14.26%10.64%8.36%6.14%4.76%3.54%2.82%1.82%1.31%0.78%0.46%0.10%0.02%
Haugesund2.34%6.74%9.78%10.78%11.13%10.89%9.38%8.41%7.66%6.55%5.67%4.15%2.90%2.06%1.14%0.42%
Kristiansund0.69%2.25%4.41%5.80%6.64%7.85%8.71%9.44%9.96%9.22%8.79%7.82%6.91%5.74%3.91%1.86%
Valerenga1.41%4.60%6.33%8.54%9.81%10.08%9.89%9.15%8.31%8.26%6.74%6.13%4.40%3.36%2.19%0.80%
Ranheim0.03%0.31%0.72%1.07%1.83%2.57%3.30%4.79%6.42%7.33%9.04%11.01%13.39%13.55%14.18%10.46%
Sarpsborg 083.03%8.40%10.26%12.10%11.60%10.92%9.96%8.40%7.10%4.98%4.26%3.76%2.30%1.57%0.93%0.43%
Odds0.91%3.17%5.38%6.43%8.16%8.71%9.29%9.44%9.18%9.10%8.29%7.16%6.01%4.67%2.68%1.42%
Tromso0.56%2.05%3.95%5.13%6.57%7.40%8.37%9.23%9.31%9.74%9.02%8.94%7.43%6.04%4.09%2.17%
Bodo Glimt0.36%1.59%2.80%4.32%5.54%6.24%8.02%8.52%8.66%9.47%10.67%9.80%8.69%7.43%5.22%2.67%
Lillestrom0.09%0.73%1.41%2.26%3.26%4.24%5.47%6.67%7.58%8.86%10.55%10.31%12.05%11.53%9.00%5.99%
Stromsgodset2.69%8.02%9.57%11.09%10.39%10.08%9.53%8.49%7.69%6.25%5.26%4.27%3.08%2.05%1.16%0.38%
Stabaek0.13%0.53%0.83%1.59%2.56%3.77%4.56%5.69%7.24%8.77%10.15%11.37%11.86%12.48%10.99%7.48%
Start—0.02%0.06%0.14%0.23%0.46%0.59%1.34%1.61%2.62%3.55%5.38%9.04%13.25%21.73%39.98%
Sandefjord—0.04%0.12%0.30%0.54%0.97%1.34%1.90%3.18%4.28%5.08%7.60%10.62%15.56%22.56%25.91%

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
+19.58%
Clear Edge
46.67%26.25%27.08%
Elo Value
Home Edge
184 Elo
0.005 goals per Elo point
068.93500
Scoring Tilt
Expected
+0.52 goals
Home-Tilted
-2+0.37+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
2.2
Top-Heavy
124610
Champion Preseason Odds
65%
Rosenborg, 1st of 16
LongshotFavorite
Title Margin
Expected
0.17/gm
Tight Race
00.210.5/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 5.42 * Some Luck: 5.42 to 8.13 * Lucky: 8.13 to 10.84 * Wild Swing: 10.84 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 2.06 * Close: 2.06 to 3.09 * Off: 3.09 to 4.12 * Way Off: 4.12 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
6.71 points
Some Luck
06.7717
Average Finish Error
Expected
1.88
Pinpoint
02.586
Biggest Overachiever
Expected 96.88%
91.76%
Brann
50100
Biggest Underachiever
Expected 3.12%
3.24%
Stromsgodset
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
0.16
Even
00.120.180.260.5
Noll-Scully
Coin-flip
1.48
Moderate Separation
01.003
Interquartile Edge
61%
Slight Edge
50%60%70%80%100%
Best vs. Worst
Baseline
86%
Strong Edge
50%86%100%
Close Games
Expected
65%
Very Frequent
0%61%100%
Blowouts
Expected
15%
Frequent
0%15%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
0.32
Lopsided
00.10.180.280.5
Strangeness
Expected
0.96
As Expected
01.002
Repeatability
0.49
Some Carryover
00.30.60.851
Upset Rate
Expected
23%
Chalky
0%25%50%
Clear Favorite Upset Rate
Expected
20%
As Expected
0%21%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 0.11 * Near Noise Ceiling: 0.11 to 0.17 * Above Noise: 0.17 to 0.22 * Well Above Noise: 0.22 and up.
Probability calibration
0.06
Borderline
0.010.050.10.51
Calibration slope
Ideal
1.10
Calibrated
0.51.001.5
Calibration error (ECE)
Noise ceiling
0.074
Well Within Noise
00.1110.25

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
Rosenborg 100% — —
Molde 99.62% 0.25% 0.13%
Brann 99.42% 0.46% 0.12%
Sarpsborg 08 97.07% 1.57% 1.36%
Stromsgodset 96.41% 2.05% 1.54%
Haugesund 96.38% 2.06% 1.56%
Valerenga 93.65% 3.36% 2.99%
Odds 91.23% 4.67% 4.10%
Kristiansund 88.49% 5.74% 5.77%
Tromso 87.70% 6.04% 6.26%
Bodo Glimt 84.68% 7.43% 7.89%
Lillestrom 73.48% 11.53% 14.99%
Ranheim 61.81% 13.55% 24.64%
Sandefjord 35.97% 15.56% 48.47%
Start 25.04% 13.25% 61.71%
Stabaek — 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
2018-03-11 Haugesund L 1-2 1536 1535 45.7% 27.2% 27.1% -8.1 0
2018-03-11 @ Odds W 2-1 1535 1536 27.1% 27.2% 45.7% +8.1 3
2018-03-11 Lillestrom W 3-1 1536 1535 45.8% 27.2% 27.1% +9.4 3
2018-03-11 @ Bodo Glimt L 1-3 1535 1536 27.1% 27.2% 45.8% -9.4 0
2018-03-11 Rosenborg W 1-0 1563 1678 29.9% 27.5% 42.6% +8.1 3
2018-03-11 @ Sarpsborg 08 L 0-1 1678 1563 42.6% 27.5% 29.9% -8.1 0
2018-03-11 Sandefjord W 5-0 1599 1502 57.7% 24.2% 18.1% +17.5 3
2018-03-11 @ Molde L 0-5 1502 1599 18.1% 24.2% 57.7% -17.6 0
2018-03-11 Stabaek D 2-2 1581 1533 51.8% 26.0% 22.2% -0.9 1
2018-03-11 @ Stromsgodset D 2-2 1533 1581 22.2% 26.0% 51.8% +0.9 1
2018-03-11 Tromso W 4-1 1459 1528 36.2% 27.8% 36.0% +16.5 3
2018-03-11 @ Start L 1-4 1528 1459 36.0% 27.8% 36.2% -16.5 0
2018-03-12 Valerenga L 0-1 1527 1563 40.8% 27.7% 31.5% -7.8 0
2018-03-12 @ Kristiansund W 1-0 1563 1527 31.5% 27.7% 40.8% +7.8 3
2018-03-17 Kristiansund D 2-2 1670 1519 63.5% 22.0% 14.5% -1.5 1
2018-03-17 @ Rosenborg D 2-2 1519 1670 14.5% 22.0% 63.5% +1.5 1
2018-03-17 Sarpsborg 08 D 2-2 1526 1571 39.5% 27.8% 32.7% -0.2 1
2018-03-17 @ Lillestrom D 2-2 1571 1526 32.7% 27.8% 39.5% +0.2 4
2018-03-18 Bodo Glimt W 2-0 1573 1546 49.2% 26.6% 24.2% +9.9 3
2018-03-18 @ Brann L 0-2 1546 1573 24.2% 26.6% 49.2% -9.9 3
2018-03-18 Molde L 0-1 1543 1617 35.4% 27.8% 36.7% -7.1 3
2018-03-18 @ Haugesund W 1-0 1617 1543 36.7% 27.8% 35.4% +7.1 6
2018-03-18 Odds W 2-1 1571 1527 51.2% 26.1% 22.6% +4.7 6
2018-03-18 @ Valerenga L 1-2 1527 1571 22.6% 26.1% 51.2% -4.7 0
2018-04-02 Brann D 1-1 1580 1583 45.4% 27.2% 27.4% -0.7 2
2018-04-02 @ Stromsgodset D 1-1 1583 1580 27.4% 27.2% 45.4% +0.7 4
2018-04-02 Haugesund L 0-3 1536 1536 45.6% 27.2% 27.2% -23.4 3
2018-04-02 @ Bodo Glimt W 3-0 1536 1536 27.2% 27.2% 45.6% +23.4 6
2018-04-02 Lillestrom W 2-1 1521 1526 45.0% 27.3% 27.7% +5.5 4
2018-04-02 @ Kristiansund L 1-2 1526 1521 27.7% 27.3% 45.0% -5.5 1
2018-04-02 Rosenborg D 1-1 1523 1668 26.3% 27.0% 46.7% +0.8 1
2018-04-02 @ Odds D 1-1 1668 1523 46.7% 27.0% 26.3% -0.8 2
2018-04-02 Sandefjord L 1-4 1476 1484 44.5% 27.3% 28.1% -19.4 3
2018-04-02 @ Start W 4-1 1484 1476 28.1% 27.3% 44.5% +19.4 3
2018-04-02 Stabaek W 4-1 1450 1534 33.9% 27.8% 38.3% +17.3 3
2018-04-02 @ Ranheim L 1-4 1534 1450 38.3% 27.8% 33.9% -17.3 1
2018-04-02 Tromso W 2-1 1624 1511 59.5% 23.6% 16.9% +3.5 9
2018-04-02 @ Molde L 1-2 1511 1624 16.9% 23.6% 59.5% -3.5 0
2018-04-02 Valerenga W 3-0 1571 1575 45.1% 27.3% 27.6% +16.0 7
2018-04-02 @ Sarpsborg 08 L 0-3 1575 1571 27.6% 27.3% 45.1% -16.0 6
2018-04-07 Stromsgodset L 1-4 1559 1580 42.9% 27.5% 29.6% -18.8 6
2018-04-07 @ Valerenga W 4-1 1580 1559 29.6% 27.5% 42.9% +18.8 5
2018-04-08 Bodo Glimt W 1-0 1524 1512 47.2% 26.9% 25.9% +5.5 4
2018-04-08 @ Odds L 0-1 1512 1524 25.9% 26.9% 47.2% -5.5 3
2018-04-08 Kristiansund W 1-0 1583 1526 53.0% 25.7% 21.3% +4.7 7
2018-04-08 @ Brann L 0-1 1526 1583 21.3% 25.7% 53.0% -4.7 4
2018-04-08 Molde W 4-0 1667 1627 50.9% 26.2% 22.9% +17.8 5
2018-04-08 @ Rosenborg L 0-4 1627 1667 22.9% 26.2% 50.9% -17.9 9
2018-04-08 Ranheim W 4-0 1508 1467 51.0% 26.2% 22.8% +17.8 3
2018-04-08 @ Tromso L 0-4 1467 1508 22.8% 26.2% 51.0% -17.8 3
2018-04-08 Sarpsborg 08 D 1-1 1560 1587 42.0% 27.6% 30.4% -0.4 7
2018-04-08 @ Haugesund D 1-1 1587 1560 30.4% 27.6% 42.0% +0.4 8
2018-04-08 Stabaek D 1-1 1504 1517 43.9% 27.4% 28.7% -0.6 4
2018-04-08 @ Sandefjord D 1-1 1517 1504 28.7% 27.4% 43.9% +0.6 2
2018-04-09 Start W 1-0 1520 1457 53.8% 25.5% 20.7% +4.5 4
2018-04-09 @ Lillestrom L 0-1 1457 1520 20.7% 25.5% 53.8% -4.5 3
2018-04-11 Ranheim L 1-2 1503 1449 52.6% 25.8% 21.6% -9.1 4
2018-04-11 @ Sandefjord W 2-1 1449 1503 21.6% 25.8% 52.6% +9.1 6
2018-04-11 Stromsgodset W 3-1 1525 1598 35.5% 27.8% 36.7% +11.8 6
2018-04-11 @ Tromso L 1-3 1598 1525 36.7% 27.8% 35.5% -11.8 5
2018-04-14 Valerenga L 1-6 1452 1540 33.4% 27.8% 38.9% -24.7 3
2018-04-14 @ Start W 6-1 1540 1452 38.9% 27.8% 33.4% +24.7 9
2018-04-15 Brann L 1-2 1587 1588 45.6% 27.2% 27.2% -8.1 8
2018-04-15 @ Sarpsborg 08 W 2-1 1588 1587 27.2% 27.2% 45.6% +8.1 10
2018-04-15 Haugesund W 4-2 1458 1559 31.7% 27.7% 40.6% +11.4 9
2018-04-15 @ Ranheim L 2-4 1559 1458 40.6% 27.7% 31.7% -11.4 7
2018-04-15 Kristiansund D 3-3 1494 1522 41.9% 27.6% 30.4% -0.3 5
2018-04-15 @ Sandefjord D 3-3 1522 1494 30.4% 27.6% 41.9% +0.3 5
2018-04-15 Lillestrom W 2-1 1609 1525 56.2% 24.7% 19.0% +4.0 12
2018-04-15 @ Molde L 1-2 1525 1609 19.0% 24.7% 56.2% -4.0 4
2018-04-15 Odds W 3-0 1587 1529 53.0% 25.7% 21.3% +12.8 8
2018-04-15 @ Stromsgodset L 0-3 1529 1587 21.3% 25.7% 53.0% -12.8 4
2018-04-15 Tromso D 1-1 1518 1537 43.0% 27.5% 29.5% -0.5 3
2018-04-15 @ Stabaek D 1-1 1537 1518 29.5% 27.5% 43.0% +0.5 7
2018-04-16 Rosenborg L 0-1 1507 1685 22.9% 26.2% 50.9% -5.0 3
2018-04-16 @ Bodo Glimt W 1-0 1685 1507 50.9% 26.2% 22.9% +5.0 8
2018-04-21 Stabaek W 3-0 1596 1517 55.6% 24.9% 19.5% +11.7 13
2018-04-21 @ Brann L 0-3 1517 1596 19.5% 24.9% 55.6% -11.7 3
2018-04-22 Bodo Glimt D 1-1 1522 1502 48.3% 26.7% 24.9% -0.9 6
2018-04-22 @ Kristiansund D 1-1 1502 1522 24.9% 26.7% 48.3% +0.9 4
2018-04-22 Molde D 0-0 1565 1613 39.0% 27.8% 33.2% -0.2 10
2018-04-22 @ Valerenga D 0-0 1613 1565 33.2% 27.8% 39.0% +0.2 13
2018-04-22 Ranheim L 0-1 1521 1470 52.3% 25.9% 21.8% -9.5 4
2018-04-22 @ Lillestrom W 1-0 1470 1521 21.8% 25.9% 52.3% +9.5 12
2018-04-22 Sandefjord W 4-1 1538 1494 51.4% 26.1% 22.6% +11.4 10
2018-04-22 @ Tromso L 1-4 1494 1538 22.6% 26.1% 51.4% -11.4 5
2018-04-22 Start W 2-0 1690 1427 74.2% 16.6% 9.2% +3.5 11
2018-04-22 @ Rosenborg L 0-2 1427 1690 9.2% 16.6% 74.2% -3.5 3
2018-04-22 Stromsgodset W 1-0 1548 1599 38.6% 27.8% 33.7% +6.8 10
2018-04-22 @ Haugesund L 0-1 1599 1548 33.7% 27.8% 38.6% -6.8 8
2018-04-23 Sarpsborg 08 W 3-1 1516 1579 36.9% 27.8% 35.2% +11.5 7
2018-04-23 @ Odds L 1-3 1579 1516 35.2% 27.8% 36.9% -11.5 8
2018-04-25 Brann L 0-2 1479 1608 28.2% 27.3% 44.5% -11.2 12
2018-04-25 @ Ranheim W 2-0 1608 1479 44.5% 27.3% 28.2% +11.2 16
2018-04-25 Start D 1-1 1505 1424 55.9% 24.8% 19.3% -1.5 4
2018-04-25 @ Stabaek D 1-1 1424 1505 19.3% 24.8% 55.9% +1.5 4
2018-04-28 Valerenga D 2-2 1468 1565 32.2% 27.7% 40.1% +0.2 13
2018-04-28 @ Ranheim D 2-2 1565 1468 40.1% 27.7% 32.2% -0.2 11
2018-04-29 Bodo Glimt D 0-0 1568 1503 54.0% 25.4% 20.6% -1.5 9
2018-04-29 @ Sarpsborg 08 D 0-0 1503 1568 20.6% 25.4% 54.0% +1.5 5
2018-04-29 Brann L 0-1 1483 1619 27.3% 27.2% 45.5% -5.8 5
2018-04-29 @ Sandefjord W 1-0 1619 1483 45.5% 27.2% 27.3% +5.8 19
2018-04-29 Haugesund L 0-1 1425 1555 28.1% 27.3% 44.5% -5.9 4
2018-04-29 @ Start W 1-0 1555 1425 44.5% 27.3% 28.1% +5.9 13
2018-04-29 Kristiansund D 0-0 1549 1521 49.4% 26.5% 24.1% -1.1 11
2018-04-29 @ Tromso D 0-0 1521 1549 24.1% 26.5% 49.4% +1.1 7
2018-04-29 Odds L 0-1 1614 1528 56.4% 24.7% 18.9% -10.1 13
2018-04-29 @ Molde W 1-0 1528 1614 18.9% 24.7% 56.4% +10.2 10
2018-04-29 Rosenborg L 0-1 1593 1694 31.7% 27.7% 40.6% -6.5 8
2018-04-29 @ Stromsgodset W 1-0 1694 1593 40.6% 27.7% 31.7% +6.5 14
2018-04-30 Lillestrom W 3-2 1504 1511 44.7% 27.3% 28.0% +5.3 7
2018-04-30 @ Stabaek L 2-3 1511 1504 28.0% 27.3% 44.7% -5.3 4
2018-05-05 Ranheim D 1-1 1700 1468 71.5% 18.1% 10.4% -2.6 15
2018-05-05 @ Rosenborg D 1-1 1468 1700 10.4% 18.1% 71.5% +2.6 14
2018-05-06 Haugesund D 2-2 1565 1560 46.2% 27.1% 26.7% -0.6 12
2018-05-06 @ Valerenga D 2-2 1560 1565 26.7% 27.1% 46.2% +0.6 14
2018-05-06 Sandefjord W 1-0 1506 1477 49.5% 26.5% 24.0% +5.2 7
2018-05-06 @ Lillestrom L 0-1 1477 1506 24.0% 26.5% 49.5% -5.2 5
2018-05-06 Stabaek W 1-0 1522 1509 47.4% 26.9% 25.7% +5.5 10
2018-05-06 @ Kristiansund L 0-1 1509 1522 25.7% 26.9% 47.4% -5.5 7
2018-05-06 Start W 3-0 1538 1419 60.1% 23.4% 16.5% +10.0 13
2018-05-06 @ Odds L 0-3 1419 1538 16.5% 23.4% 60.1% -10.0 4
2018-05-06 Stromsgodset D 2-2 1504 1586 34.3% 27.8% 37.9% +0.1 6
2018-05-06 @ Bodo Glimt D 2-2 1586 1504 37.9% 27.8% 34.3% -0.1 9
2018-05-06 Tromso W 3-0 1625 1548 55.3% 25.0% 19.7% +11.8 22
2018-05-06 @ Brann L 0-3 1548 1625 19.7% 25.0% 55.3% -11.8 11
2018-05-07 Molde D 2-2 1566 1603 40.6% 27.7% 31.7% -0.2 10
2018-05-07 @ Sarpsborg 08 D 2-2 1603 1566 31.7% 27.7% 40.6% +0.2 14
2018-05-12 Brann L 0-1 1409 1637 18.6% 24.5% 56.8% -4.1 4
2018-05-12 @ Start W 1-0 1637 1409 56.8% 24.5% 18.6% +4.1 25
2018-05-12 Valerenga L 0-1 1472 1564 32.8% 27.8% 39.4% -6.7 5
2018-05-12 @ Sandefjord W 1-0 1564 1472 39.4% 27.8% 32.8% +6.7 15
2018-05-13 Bodo Glimt L 1-2 1604 1504 58.0% 24.2% 17.9% -9.8 14
2018-05-13 @ Molde W 2-1 1504 1604 17.9% 24.2% 58.0% +9.8 9
2018-05-13 Kristiansund W 3-2 1561 1528 50.0% 26.4% 23.6% +4.6 17
2018-05-13 @ Haugesund L 2-3 1528 1561 23.6% 26.4% 50.0% -4.6 10
2018-05-13 Lillestrom L 1-2 1536 1511 48.9% 26.6% 24.4% -8.5 11
2018-05-13 @ Tromso W 2-1 1511 1536 24.4% 26.6% 48.9% +8.5 10
2018-05-13 Odds W 3-1 1471 1548 34.9% 27.8% 37.3% +12.0 17
2018-05-13 @ Ranheim L 1-3 1548 1471 37.3% 27.8% 34.9% -12.0 13
2018-05-13 Rosenborg L 0-1 1504 1697 21.4% 25.7% 52.8% -4.7 7
2018-05-13 @ Stabaek W 1-0 1697 1504 52.8% 25.7% 21.4% +4.7 18
2018-05-13 Sarpsborg 08 L 1-2 1586 1566 48.3% 26.7% 24.9% -8.5 9
2018-05-13 @ Stromsgodset W 2-1 1566 1586 24.9% 26.7% 48.3% +8.4 13
2018-05-16 Haugesund D 1-1 1641 1566 55.1% 25.1% 19.8% -1.5 26
2018-05-16 @ Brann D 1-1 1566 1641 19.8% 25.1% 55.1% +1.4 18
2018-05-16 Lillestrom W 3-0 1702 1520 66.8% 20.5% 12.8% +7.5 21
2018-05-16 @ Rosenborg L 0-3 1520 1702 12.8% 20.5% 66.8% -7.5 10
2018-05-16 Ranheim L 1-3 1523 1483 50.9% 26.2% 22.9% -15.3 10
2018-05-16 @ Kristiansund W 3-1 1483 1523 22.9% 26.2% 50.9% +15.3 20
2018-05-16 Sandefjord W 5-0 1536 1465 54.7% 25.2% 20.1% +19.5 16
2018-05-16 @ Odds L 0-5 1465 1536 20.1% 25.2% 54.7% -19.5 5
2018-05-16 Stabaek W 1-0 1571 1499 54.8% 25.2% 20.1% +4.4 18
2018-05-16 @ Valerenga L 0-1 1499 1571 20.1% 25.2% 54.8% -4.4 7
2018-05-16 Start W 4-0 1575 1405 65.5% 21.1% 13.4% +10.4 16
2018-05-16 @ Sarpsborg 08 L 0-4 1405 1575 13.4% 21.1% 65.5% -10.4 4
2018-05-16 Stromsgodset W 2-0 1594 1578 47.8% 26.8% 25.3% +10.3 17
2018-05-16 @ Molde L 0-2 1578 1594 25.3% 26.8% 47.8% -10.3 9
2018-05-16 Tromso L 0-1 1514 1528 43.9% 27.4% 28.7% -8.3 9
2018-05-16 @ Bodo Glimt W 1-0 1528 1514 28.7% 27.4% 43.9% +8.3 14
2018-05-21 Bodo Glimt W 1-0 1395 1506 30.4% 27.6% 42.0% +8.0 7
2018-05-21 @ Start L 0-1 1506 1395 42.0% 27.6% 30.4% -8.0 9
2018-05-21 Brann D 1-1 1512 1639 28.4% 27.4% 44.2% +0.6 11
2018-05-21 @ Lillestrom D 1-1 1639 1512 44.2% 27.4% 28.4% -0.6 27
2018-05-21 Molde W 3-1 1498 1604 31.0% 27.6% 41.4% +13.0 23
2018-05-21 @ Ranheim L 1-3 1604 1498 41.4% 27.6% 31.0% -12.9 17
2018-05-21 Odds W 2-1 1494 1556 37.2% 27.8% 35.0% +6.6 10
2018-05-21 @ Stabaek L 1-2 1556 1494 35.0% 27.8% 37.2% -6.6 16
2018-05-21 Rosenborg L 1-2 1567 1710 26.6% 27.1% 46.3% -5.3 18
2018-05-21 @ Haugesund W 2-1 1710 1567 46.3% 27.1% 26.6% +5.3 24
2018-05-21 Sarpsborg 08 L 0-1 1445 1585 27.0% 27.1% 45.9% -5.7 5
2018-05-21 @ Sandefjord W 1-0 1585 1445 45.9% 27.1% 27.0% +5.7 19
2018-05-21 Stromsgodset W 4-0 1508 1567 37.4% 27.8% 34.7% +24.9 13
2018-05-21 @ Kristiansund L 0-4 1567 1508 34.7% 27.8% 37.4% -24.9 9
2018-05-21 Valerenga W 3-0 1536 1575 40.3% 27.7% 32.0% +18.0 17
2018-05-21 @ Tromso L 0-3 1575 1536 32.0% 27.7% 40.3% -17.9 18
2018-05-26 Lillestrom W 1-0 1557 1513 51.4% 26.1% 22.5% +4.9 21
2018-05-26 @ Valerenga L 0-1 1513 1557 22.5% 26.1% 51.4% -4.9 11
2018-05-27 Brann L 1-2 1715 1639 55.3% 25.0% 19.7% -9.4 24
2018-05-27 @ Rosenborg W 2-1 1639 1715 19.7% 25.0% 55.3% +9.4 30
2018-05-27 Kristiansund L 1-2 1549 1533 47.8% 26.8% 25.4% -8.4 16
2018-05-27 @ Odds W 2-1 1533 1549 25.4% 26.8% 47.8% +8.4 16
2018-05-27 Ranheim W 4-0 1498 1511 43.9% 27.4% 28.7% +21.5 12
2018-05-27 @ Bodo Glimt L 0-4 1511 1498 28.7% 27.4% 43.9% -21.5 23
2018-05-27 Sandefjord W 2-0 1542 1440 58.3% 24.0% 17.6% +7.3 12
2018-05-27 @ Stromsgodset L 0-2 1440 1542 17.6% 24.0% 58.3% -7.3 5
2018-05-27 Start W 3-1 1591 1403 67.4% 20.2% 12.4% +4.3 20
2018-05-27 @ Molde L 1-3 1403 1591 12.4% 20.2% 67.4% -4.3 7
2018-05-27 Tromso W 1-0 1562 1554 46.7% 27.0% 26.3% +5.6 21
2018-05-27 @ Haugesund L 0-1 1554 1562 26.3% 27.0% 46.7% -5.6 17
2018-05-28 Stabaek W 4-2 1591 1501 56.8% 24.5% 18.6% +6.0 22
2018-05-28 @ Sarpsborg 08 L 2-4 1501 1591 18.6% 24.5% 56.8% -6.0 10
2018-06-09 Molde W 1-0 1541 1596 38.2% 27.8% 34.0% +6.9 19
2018-06-09 @ Kristiansund L 0-1 1596 1541 34.0% 27.8% 38.2% -6.9 20
2018-06-10 Bodo Glimt D 0-0 1495 1519 42.4% 27.6% 30.1% -0.5 11
2018-06-10 @ Stabaek D 0-0 1519 1495 30.1% 27.6% 42.4% +0.5 13
2018-06-10 Haugesund L 0-2 1432 1567 27.5% 27.2% 45.3% -11.0 5
2018-06-10 @ Sandefjord W 2-0 1567 1432 45.3% 27.2% 27.5% +11.0 24
2018-06-10 Odds D 0-0 1508 1541 41.2% 27.7% 31.1% -0.4 12
2018-06-10 @ Lillestrom D 0-0 1541 1508 31.1% 27.7% 41.2% +0.4 17
2018-06-10 Sarpsborg 08 W 2-1 1489 1597 30.9% 27.6% 41.5% +7.5 26
2018-06-10 @ Ranheim L 1-2 1597 1489 41.5% 27.6% 30.9% -7.5 22
2018-06-10 Stromsgodset D 1-1 1399 1550 25.7% 26.9% 47.4% +0.9 8
2018-06-10 @ Start D 1-1 1550 1399 47.4% 26.9% 25.7% -0.9 13
2018-06-10 Valerenga D 0-0 1648 1562 56.4% 24.7% 18.9% -1.7 31
2018-06-10 @ Brann D 0-0 1562 1648 18.9% 24.7% 56.4% +1.7 22
2018-06-11 Rosenborg W 2-1 1548 1706 25.0% 26.8% 48.2% +8.4 20
2018-06-11 @ Tromso L 1-2 1706 1548 48.2% 26.8% 25.0% -8.4 24
2018-06-23 Stabaek W 3-0 1589 1495 57.4% 24.4% 18.3% +11.0 23
2018-06-23 @ Molde L 0-3 1495 1589 18.3% 24.4% 57.4% -11.0 11
2018-06-24 Kristiansund W 2-0 1400 1548 26.0% 27.0% 47.1% +16.5 11
2018-06-24 @ Start L 0-2 1548 1400 47.1% 27.0% 26.0% -16.5 19
2018-06-24 Lillestrom D 2-2 1578 1508 54.6% 25.2% 20.2% -1.0 25
2018-06-24 @ Haugesund D 2-2 1508 1578 20.2% 25.2% 54.6% +1.0 13
2018-06-24 Ranheim W 3-0 1549 1497 52.4% 25.9% 21.8% +13.1 16
2018-06-24 @ Stromsgodset L 0-3 1497 1549 21.8% 25.9% 52.4% -13.0 26
2018-06-24 Sandefjord D 1-1 1520 1421 57.9% 24.2% 17.9% -1.7 14
2018-06-24 @ Bodo Glimt D 1-1 1421 1520 17.9% 24.2% 57.9% +1.6 6
2018-06-24 Tromso L 2-3 1589 1557 49.9% 26.4% 23.7% -8.2 22
2018-06-24 @ Sarpsborg 08 W 3-2 1557 1589 23.7% 26.4% 49.9% +8.2 23
2018-06-24 Valerenga W 3-0 1697 1564 61.7% 22.7% 15.6% +9.3 27
2018-06-24 @ Rosenborg L 0-3 1564 1697 15.6% 22.7% 61.7% -9.3 22
2018-06-25 Brann L 0-1 1541 1646 31.1% 27.7% 41.2% -6.4 17
2018-06-25 @ Odds W 1-0 1646 1541 41.2% 27.7% 31.1% +6.4 34
2018-06-30 Bodo Glimt D 2-2 1554 1518 50.4% 26.3% 23.3% -0.8 23
2018-06-30 @ Valerenga D 2-2 1518 1554 23.3% 26.3% 50.4% +0.8 15
2018-07-01 Haugesund W 2-1 1484 1577 32.6% 27.8% 39.6% +7.2 14
2018-07-01 @ Stabaek L 1-2 1577 1484 39.6% 27.8% 32.6% -7.2 25
2018-07-01 Molde L 0-4 1653 1600 52.5% 25.8% 21.7% -34.3 34
2018-07-01 @ Brann W 4-0 1600 1653 21.7% 25.8% 52.5% +34.3 26
2018-07-01 Odds W 2-1 1565 1535 49.7% 26.5% 23.9% +4.9 26
2018-07-01 @ Tromso L 1-2 1535 1565 23.9% 26.5% 49.7% -4.9 17
2018-07-01 Rosenborg L 0-1 1423 1706 14.8% 22.2% 63.0% -3.2 6
2018-07-01 @ Sandefjord W 1-0 1706 1423 63.0% 22.2% 14.8% +3.2 30
2018-07-01 Sarpsborg 08 D 1-1 1531 1581 38.9% 27.8% 33.4% -0.2 20
2018-07-01 @ Kristiansund D 1-1 1581 1531 33.4% 27.8% 38.9% +0.2 23
2018-07-01 Start W 2-0 1484 1416 54.3% 25.3% 20.4% +8.5 29
2018-07-01 @ Ranheim L 0-2 1416 1484 20.4% 25.3% 54.3% -8.5 11
2018-07-02 Stromsgodset D 1-1 1509 1562 38.3% 27.8% 33.9% -0.2 14
2018-07-02 @ Lillestrom D 1-1 1562 1509 33.9% 27.8% 38.3% +0.2 17
2018-07-07 Tromso W 2-1 1710 1570 62.4% 22.4% 15.1% +3.1 33
2018-07-07 @ Rosenborg L 1-2 1570 1710 15.1% 22.4% 62.4% -3.1 26
2018-07-08 Brann D 2-2 1519 1618 31.9% 27.7% 40.4% +0.2 16
2018-07-08 @ Bodo Glimt D 2-2 1618 1519 40.4% 27.7% 31.9% -0.2 35
2018-07-08 Lillestrom W 3-1 1530 1509 48.5% 26.7% 24.8% +8.7 20
2018-07-08 @ Odds L 1-3 1509 1530 24.8% 26.7% 48.5% -8.7 14
2018-07-08 Ranheim W 4-1 1581 1492 56.8% 24.6% 18.7% +9.5 26
2018-07-08 @ Sarpsborg 08 L 1-4 1492 1581 18.7% 24.6% 56.8% -9.5 29
2018-07-08 Sandefjord W 4-2 1570 1420 63.5% 22.0% 14.5% +4.6 28
2018-07-08 @ Haugesund L 2-4 1420 1570 14.5% 22.0% 63.5% -4.6 6
2018-07-08 Stabaek W 2-1 1408 1491 34.1% 27.8% 38.1% +7.0 14
2018-07-08 @ Start L 1-2 1491 1408 38.1% 27.8% 34.1% -7.0 14
2018-07-08 Valerenga W 5-1 1634 1554 55.8% 24.9% 19.4% +12.7 29
2018-07-08 @ Molde L 1-5 1554 1634 19.4% 24.9% 55.8% -12.7 23
2018-07-09 Kristiansund L 2-3 1562 1531 49.7% 26.5% 23.8% -8.2 17
2018-07-09 @ Stromsgodset W 3-2 1531 1562 23.8% 26.5% 49.7% +8.2 23
2018-08-04 Rosenborg L 1-3 1483 1713 18.4% 24.4% 57.1% -6.6 29
2018-08-04 @ Ranheim W 3-1 1713 1483 57.1% 24.4% 18.4% +6.6 36
2018-08-05 Bodo Glimt W 4-0 1554 1519 50.2% 26.4% 23.5% +18.2 20
2018-08-05 @ Stromsgodset L 0-4 1519 1554 23.5% 26.4% 50.2% -18.2 16
2018-08-05 Haugesund L 1-2 1567 1575 44.6% 27.3% 28.1% -7.9 26
2018-08-05 @ Tromso W 2-1 1575 1567 28.1% 27.3% 44.6% +7.9 31
2018-08-05 Molde D 2-2 1500 1647 26.1% 27.0% 46.9% +0.6 15
2018-08-05 @ Lillestrom D 2-2 1647 1500 46.9% 27.0% 26.1% -0.6 30
2018-08-05 Odds D 1-1 1539 1538 45.8% 27.2% 27.0% -0.7 24
2018-08-05 @ Kristiansund D 1-1 1538 1539 27.0% 27.2% 45.8% +0.7 21
2018-08-05 Sandefjord D 2-2 1541 1415 60.9% 23.1% 16.0% -1.4 24
2018-08-05 @ Valerenga D 2-2 1415 1541 16.0% 23.1% 60.9% +1.4 7
2018-08-05 Sarpsborg 08 L 1-3 1484 1591 30.9% 27.6% 41.5% -10.4 14
2018-08-05 @ Stabaek W 3-1 1591 1484 41.5% 27.6% 30.9% +10.4 29
2018-08-06 Start W 4-1 1618 1415 68.9% 19.4% 11.7% +5.7 38
2018-08-06 @ Brann L 1-4 1415 1618 11.7% 19.4% 68.9% -5.7 14
2018-08-10 Tromso W 1-0 1417 1559 26.7% 27.1% 46.3% +8.7 10
2018-08-10 @ Sandefjord L 0-1 1559 1417 46.3% 27.1% 26.7% -8.6 26
2018-08-12 Brann W 5-1 1646 1624 48.6% 26.7% 24.7% +15.9 33
2018-08-12 @ Molde L 1-5 1624 1646 24.7% 26.7% 48.6% -15.9 38
2018-08-12 Kristiansund W 3-0 1501 1539 40.5% 27.7% 31.8% +17.9 19
2018-08-12 @ Bodo Glimt L 0-3 1539 1501 31.8% 27.7% 40.5% -17.9 24
2018-08-12 Lillestrom W 2-0 1601 1500 58.1% 24.1% 17.8% +7.4 32
2018-08-12 @ Sarpsborg 08 L 0-2 1500 1601 17.8% 24.1% 58.1% -7.4 15
2018-08-12 Ranheim D 0-0 1409 1476 36.3% 27.8% 35.8% -0.0 15
2018-08-12 @ Start D 0-0 1476 1409 35.8% 27.8% 36.3% +0.0 30
2018-08-12 Stabaek D 1-1 1719 1473 72.8% 17.4% 9.8% -2.7 37
2018-08-12 @ Rosenborg D 1-1 1473 1719 9.8% 17.4% 72.8% +2.7 15
2018-08-12 Stromsgodset D 2-2 1539 1572 41.2% 27.7% 31.2% -0.3 22
2018-08-12 @ Odds D 2-2 1572 1539 31.2% 27.7% 41.2% +0.3 21
2018-08-13 Valerenga W 1-0 1583 1540 51.2% 26.1% 22.6% +4.9 34
2018-08-13 @ Haugesund L 0-1 1540 1583 22.6% 26.1% 51.2% -4.9 24
2018-08-19 Haugesund D 1-1 1493 1588 32.5% 27.8% 39.7% +0.3 16
2018-08-19 @ Lillestrom D 1-1 1588 1493 39.7% 27.8% 32.5% -0.3 35
2018-08-19 Molde W 3-1 1476 1662 22.1% 26.0% 51.9% +15.5 18
2018-08-19 @ Stabaek L 1-3 1662 1476 51.9% 26.0% 22.1% -15.5 33
2018-08-19 Rosenborg L 0-2 1521 1717 21.2% 25.7% 53.1% -8.8 24
2018-08-19 @ Kristiansund W 2-0 1717 1521 53.1% 25.7% 21.2% +8.8 40
2018-08-19 Sandefjord D 1-1 1476 1425 52.2% 25.9% 21.9% -1.2 31
2018-08-19 @ Ranheim D 1-1 1425 1476 21.9% 25.9% 52.2% +1.2 11
2018-08-19 Sarpsborg 08 W 2-0 1608 1608 45.6% 27.2% 27.2% +10.9 41
2018-08-19 @ Brann L 0-2 1608 1608 27.2% 27.2% 45.6% -10.9 32
2018-08-19 Start D 1-1 1572 1409 64.9% 21.3% 13.8% -2.2 22
2018-08-19 @ Stromsgodset D 1-1 1409 1572 13.8% 21.3% 64.9% +2.2 16
2018-08-19 Tromso W 3-0 1535 1550 43.6% 27.4% 29.0% +16.6 27
2018-08-19 @ Valerenga L 0-3 1550 1535 29.0% 27.4% 43.6% -16.6 26
2018-08-20 Odds D 1-1 1519 1539 43.0% 27.5% 29.5% -0.5 20
2018-08-20 @ Bodo Glimt D 1-1 1539 1519 29.5% 27.5% 43.0% +0.5 23
2018-08-25 Bodo Glimt L 1-2 1534 1518 47.7% 26.9% 25.5% -8.4 26
2018-08-25 @ Tromso W 2-1 1518 1534 25.5% 26.9% 47.7% +8.4 23
2018-08-26 Brann W 2-0 1551 1619 36.3% 27.8% 35.9% +13.5 30
2018-08-26 @ Valerenga L 0-2 1619 1551 35.9% 27.8% 36.3% -13.5 41
2018-08-26 Kristiansund L 1-2 1598 1512 56.4% 24.7% 18.9% -9.6 32
2018-08-26 @ Sarpsborg 08 W 2-1 1512 1598 18.9% 24.7% 56.4% +9.6 27
2018-08-26 Lillestrom L 1-3 1426 1493 36.4% 27.8% 35.8% -11.8 11
2018-08-26 @ Sandefjord W 3-1 1493 1426 35.8% 27.8% 36.4% +11.8 19
2018-08-26 Ranheim L 2-3 1646 1475 65.7% 21.0% 13.3% -10.2 33
2018-08-26 @ Molde W 3-2 1475 1646 13.3% 21.0% 65.7% +10.2 34
2018-08-26 Stabaek W 2-0 1587 1491 57.6% 24.3% 18.1% +7.5 38
2018-08-26 @ Haugesund L 0-2 1491 1587 18.1% 24.3% 57.6% -7.5 18
2018-08-26 Stromsgodset W 4-3 1726 1570 64.1% 21.7% 14.2% +2.7 43
2018-08-26 @ Rosenborg L 3-4 1570 1726 14.2% 21.7% 64.1% -2.7 22
2018-08-27 Odds L 0-1 1411 1539 28.3% 27.3% 44.4% -6.0 16
2018-08-27 @ Start W 1-0 1539 1411 44.4% 27.3% 28.3% +5.9 26
2018-09-01 Sandefjord D 3-3 1484 1415 54.4% 25.3% 20.3% -0.9 19
2018-09-01 @ Stabaek D 3-3 1415 1484 20.3% 25.3% 54.4% +0.9 12
2018-09-01 Tromso L 2-4 1568 1525 51.2% 26.1% 22.7% -13.7 22
2018-09-01 @ Stromsgodset W 4-2 1525 1568 22.7% 26.1% 51.2% +13.7 29
2018-09-02 Haugesund W 1-0 1728 1595 61.7% 22.7% 15.5% +3.4 46
2018-09-02 @ Rosenborg L 0-1 1595 1728 15.5% 22.7% 61.7% -3.4 38
2018-09-02 Molde D 1-1 1545 1636 33.0% 27.8% 39.2% +0.2 27
2018-09-02 @ Odds D 1-1 1636 1545 39.2% 27.8% 33.0% -0.2 34
2018-09-02 Ranheim W 1-0 1605 1485 60.3% 23.3% 16.4% +3.6 44
2018-09-02 @ Brann L 0-1 1485 1605 16.4% 23.3% 60.3% -3.6 34
2018-09-02 Sarpsborg 08 W 3-1 1527 1588 37.2% 27.8% 35.0% +11.4 26
2018-09-02 @ Bodo Glimt L 1-3 1588 1527 35.0% 27.8% 37.2% -11.4 32
2018-09-02 Start D 1-1 1522 1405 59.9% 23.4% 16.7% -1.8 28
2018-09-02 @ Kristiansund D 1-1 1405 1522 16.7% 23.4% 59.9% +1.8 17
2018-09-02 Valerenga L 0-1 1505 1565 37.4% 27.8% 34.8% -7.4 19
2018-09-02 @ Lillestrom W 1-0 1565 1505 34.8% 27.8% 37.4% +7.4 33
2018-09-15 Brann L 1-3 1591 1609 43.3% 27.5% 29.2% -13.4 38
2018-09-15 @ Haugesund W 3-1 1609 1591 29.2% 27.5% 43.3% +13.4 47
2018-09-16 Bodo Glimt D 1-1 1416 1538 28.9% 27.4% 43.6% +0.6 13
2018-09-16 @ Sandefjord D 1-1 1538 1416 43.6% 27.4% 28.9% -0.6 27
2018-09-16 Lillestrom W 3-0 1407 1498 33.0% 27.8% 39.2% +20.9 20
2018-09-16 @ Start L 0-3 1498 1407 39.2% 27.8% 33.0% -20.9 19
2018-09-16 Odds L 1-2 1577 1546 49.7% 26.5% 23.8% -8.6 32
2018-09-16 @ Sarpsborg 08 W 2-1 1546 1577 23.8% 26.5% 49.7% +8.6 30
2018-09-16 Rosenborg L 2-3 1572 1732 24.8% 26.7% 48.5% -4.8 33
2018-09-16 @ Valerenga W 3-2 1732 1572 48.5% 26.7% 24.8% +4.8 49
2018-09-16 Stabaek D 0-0 1539 1483 52.8% 25.7% 21.4% -1.4 30
2018-09-16 @ Tromso D 0-0 1483 1539 21.4% 25.7% 52.8% +1.4 20
2018-09-16 Stromsgodset D 1-1 1482 1554 35.6% 27.8% 36.6% +0.0 35
2018-09-16 @ Ranheim D 1-1 1554 1482 36.6% 27.8% 35.6% -0.0 23
2018-09-17 Kristiansund W 3-2 1636 1520 59.9% 23.5% 16.7% +3.3 37
2018-09-17 @ Molde L 2-3 1520 1636 16.7% 23.5% 59.9% -3.3 28
2018-09-22 Valerenga W 3-2 1554 1567 43.9% 27.4% 28.7% +5.4 33
2018-09-22 @ Odds L 2-3 1567 1554 28.7% 27.4% 43.9% -5.4 33
2018-09-23 Haugesund W 2-1 1517 1578 37.2% 27.8% 35.0% +6.6 31
2018-09-23 @ Kristiansund L 1-2 1578 1517 35.0% 27.8% 37.2% -6.6 38
2018-09-23 Molde L 1-2 1554 1639 33.8% 27.8% 38.5% -6.4 23
2018-09-23 @ Stromsgodset W 2-1 1639 1554 38.5% 27.8% 33.8% +6.4 40
2018-09-23 Ranheim W 3-2 1484 1482 46.1% 27.1% 26.8% +5.1 23
2018-09-23 @ Stabaek L 2-3 1482 1484 26.8% 27.1% 46.1% -5.1 35
2018-09-23 Sandefjord D 1-1 1622 1416 69.1% 19.3% 11.6% -2.4 48
2018-09-23 @ Brann D 1-1 1416 1622 11.6% 19.3% 69.1% +2.4 14
2018-09-23 Sarpsborg 08 W 3-1 1736 1568 65.4% 21.1% 13.5% +4.8 52
2018-09-23 @ Rosenborg L 1-3 1568 1736 13.5% 21.1% 65.4% -4.8 32
2018-09-23 Start L 1-2 1538 1428 59.2% 23.7% 17.1% -10.0 27
2018-09-23 @ Bodo Glimt W 2-1 1428 1538 17.1% 23.7% 59.2% +10.0 23
2018-09-24 Tromso W 1-0 1477 1537 37.3% 27.8% 34.9% +7.0 22
2018-09-24 @ Lillestrom L 0-1 1537 1477 34.9% 27.8% 37.3% -7.0 30
2018-09-29 Odds D 1-1 1419 1560 26.8% 27.1% 46.1% +0.8 15
2018-09-29 @ Sandefjord D 1-1 1560 1419 46.1% 27.1% 26.8% -0.8 34
2018-09-30 Bodo Glimt W 1-0 1571 1528 51.3% 26.1% 22.6% +4.9 41
2018-09-30 @ Haugesund L 0-1 1528 1571 22.6% 26.1% 51.3% -4.9 27
2018-09-30 Kristiansund W 2-1 1476 1523 39.3% 27.8% 33.0% +6.3 38
2018-09-30 @ Ranheim L 1-2 1523 1476 33.0% 27.8% 39.3% -6.3 31
2018-09-30 Rosenborg W 1-0 1646 1741 32.4% 27.7% 39.9% +7.7 43
2018-09-30 @ Molde L 0-1 1741 1646 39.9% 27.7% 32.4% -7.7 52
2018-09-30 Stabaek W 3-2 1484 1490 44.9% 27.3% 27.8% +5.3 25
2018-09-30 @ Lillestrom L 2-3 1490 1484 27.8% 27.3% 44.9% -5.3 23
2018-09-30 Start W 3-2 1562 1438 60.7% 23.1% 16.1% +3.2 36
2018-09-30 @ Valerenga L 2-3 1438 1562 16.1% 23.1% 60.7% -3.2 23
2018-09-30 Stromsgodset L 0-1 1563 1547 47.8% 26.8% 25.4% -8.9 32
2018-09-30 @ Sarpsborg 08 W 1-0 1547 1563 25.4% 26.8% 47.8% +8.9 26
2018-10-01 Brann W 2-1 1530 1620 33.2% 27.8% 39.0% +7.2 33
2018-10-01 @ Tromso L 1-2 1620 1530 39.0% 27.8% 33.2% -7.1 48
2018-10-06 Haugesund L 0-1 1556 1576 43.0% 27.5% 29.5% -8.2 26
2018-10-06 @ Stromsgodset W 1-0 1576 1556 29.5% 27.5% 43.0% +8.2 44
2018-10-06 Valerenga D 1-1 1484 1565 34.4% 27.8% 37.8% +0.1 24
2018-10-06 @ Stabaek D 1-1 1565 1484 37.8% 27.8% 34.4% -0.1 37
2018-10-07 Lillestrom D 1-1 1613 1489 60.7% 23.1% 16.2% -1.9 49
2018-10-07 @ Brann D 1-1 1489 1613 16.2% 23.1% 60.7% +1.9 26
2018-10-07 Molde L 0-1 1523 1653 28.0% 27.3% 44.7% -5.9 27
2018-10-07 @ Bodo Glimt W 1-0 1653 1523 44.7% 27.3% 28.0% +5.9 46
2018-10-07 Ranheim W 2-0 1559 1483 55.3% 25.0% 19.7% +8.2 37
2018-10-07 @ Odds L 0-2 1483 1559 19.7% 25.0% 55.3% -8.2 38
2018-10-07 Sandefjord D 1-1 1733 1419 78.4% 14.2% 7.4% -3.0 53
2018-10-07 @ Rosenborg D 1-1 1419 1733 7.4% 14.2% 78.4% +3.0 16
2018-10-07 Sarpsborg 08 W 1-0 1435 1554 29.3% 27.5% 43.2% +8.2 26
2018-10-07 @ Start L 0-1 1554 1435 43.2% 27.5% 29.3% -8.2 32
2018-10-07 Tromso W 5-1 1517 1538 42.9% 27.5% 29.6% +18.4 34
2018-10-07 @ Kristiansund L 1-5 1538 1517 29.6% 27.5% 42.9% -18.4 33
2018-10-20 Sarpsborg 08 D 2-2 1659 1546 59.5% 23.6% 16.9% -1.3 47
2018-10-20 @ Molde D 2-2 1546 1659 16.9% 23.6% 59.5% +1.3 33
2018-10-20 Stromsgodset W 2-1 1422 1548 28.6% 27.4% 44.0% +7.9 19
2018-10-20 @ Sandefjord L 1-2 1548 1422 44.0% 27.4% 28.6% -7.8 26
2018-10-21 Bodo Glimt D 0-0 1475 1517 39.9% 27.7% 32.4% -0.3 39
2018-10-21 @ Ranheim D 0-0 1517 1475 32.4% 27.7% 39.9% +0.3 28
2018-10-21 Brann L 1-2 1484 1611 28.5% 27.4% 44.2% -5.6 24
2018-10-21 @ Stabaek W 2-1 1611 1484 44.2% 27.4% 28.5% +5.7 52
2018-10-21 Kristiansund L 0-2 1565 1535 49.6% 26.5% 23.9% -17.2 37
2018-10-21 @ Valerenga W 2-0 1535 1565 23.9% 26.5% 49.6% +17.2 37
2018-10-21 Odds W 2-0 1584 1567 48.0% 26.8% 25.2% +10.2 47
2018-10-21 @ Haugesund L 0-2 1567 1584 25.2% 26.8% 48.0% -10.2 37
2018-10-21 Rosenborg D 0-0 1491 1730 17.7% 24.1% 58.2% +1.9 27
2018-10-21 @ Lillestrom D 0-0 1730 1491 58.2% 24.1% 17.7% -1.9 54
2018-10-21 Start L 1-2 1519 1443 55.3% 25.0% 19.7% -9.4 33
2018-10-21 @ Tromso W 2-1 1443 1519 19.7% 25.0% 55.3% +9.4 29
2018-10-27 Valerenga W 2-0 1540 1548 44.7% 27.3% 28.0% +11.1 29
2018-10-27 @ Stromsgodset L 0-2 1548 1540 28.0% 27.3% 44.7% -11.2 37
2018-10-28 Haugesund W 2-1 1547 1595 39.2% 27.8% 33.1% +6.3 36
2018-10-28 @ Sarpsborg 08 L 1-2 1595 1547 33.1% 27.8% 39.2% -6.3 47
2018-10-28 Lillestrom W 3-2 1474 1493 43.2% 27.5% 29.3% +5.5 42
2018-10-28 @ Ranheim L 2-3 1493 1474 29.3% 27.5% 43.2% -5.5 27
2018-10-28 Rosenborg L 1-2 1617 1729 30.3% 27.6% 42.2% -5.9 52
2018-10-28 @ Brann W 2-1 1729 1617 42.2% 27.6% 30.3% +5.9 57
2018-10-28 Sandefjord W 3-2 1552 1430 60.5% 23.2% 16.3% +3.2 40
2018-10-28 @ Kristiansund L 2-3 1430 1552 16.3% 23.2% 60.5% -3.2 19
2018-10-28 Stabaek D 1-1 1517 1479 50.7% 26.2% 23.1% -1.1 29
2018-10-28 @ Bodo Glimt D 1-1 1479 1517 23.1% 26.2% 50.7% +1.1 25
2018-10-28 Tromso W 1-0 1557 1510 51.7% 26.0% 22.2% +4.9 40
2018-10-28 @ Odds L 0-1 1510 1557 22.2% 26.0% 51.7% -4.9 33
2018-10-29 Molde L 1-3 1452 1658 20.4% 25.3% 54.3% -7.3 29
2018-10-29 @ Start W 3-1 1658 1452 54.3% 25.3% 20.4% +7.3 50
2018-11-03 Kristiansund L 0-1 1480 1556 35.1% 27.8% 37.1% -7.0 25
2018-11-03 @ Stabaek W 1-0 1556 1480 37.1% 27.8% 35.1% +7.0 43
2018-11-04 Molde L 2-4 1505 1665 24.7% 26.7% 48.6% -7.8 33
2018-11-04 @ Tromso W 4-2 1665 1505 48.6% 26.7% 24.7% +7.8 53
2018-11-04 Odds W 3-1 1735 1562 65.8% 20.9% 13.2% +4.7 60
2018-11-04 @ Rosenborg L 1-3 1562 1735 13.2% 20.9% 65.8% -4.7 40
2018-11-04 Ranheim W 2-0 1588 1480 59.0% 23.8% 17.2% +7.2 50
2018-11-04 @ Haugesund L 0-2 1480 1588 17.2% 23.8% 59.0% -7.1 42
2018-11-04 Sarpsborg 08 D 0-0 1537 1554 43.4% 27.5% 29.2% -0.6 38
2018-11-04 @ Valerenga D 0-0 1554 1537 29.2% 27.5% 43.4% +0.6 37
2018-11-04 Start W 4-1 1427 1445 43.3% 27.5% 29.3% +14.1 22
2018-11-04 @ Sandefjord L 1-4 1445 1427 29.3% 27.5% 43.3% -14.1 29
2018-11-04 Stromsgodset W 3-1 1611 1551 53.3% 25.6% 21.1% +7.6 55
2018-11-04 @ Brann L 1-3 1551 1611 21.1% 25.6% 53.3% -7.6 29
2018-11-05 Bodo Glimt D 1-1 1487 1516 41.8% 27.6% 30.6% -0.4 28
2018-11-05 @ Lillestrom D 1-1 1516 1487 30.6% 27.6% 41.8% +0.4 30
2018-11-11 Brann W 3-1 1563 1618 38.0% 27.8% 34.2% +11.2 46
2018-11-11 @ Kristiansund L 1-3 1618 1563 34.2% 27.8% 38.0% -11.3 55
2018-11-11 Haugesund W 2-0 1673 1595 55.5% 25.0% 19.6% +8.1 56
2018-11-11 @ Molde L 0-2 1595 1673 19.6% 25.0% 55.5% -8.1 50
2018-11-11 Lillestrom D 2-2 1544 1487 52.9% 25.7% 21.3% -1.0 30
2018-11-11 @ Stromsgodset D 2-2 1487 1544 21.3% 25.7% 52.9% +1.0 29
2018-11-11 Rosenborg L 0-1 1431 1739 13.4% 21.0% 65.6% -2.9 29
2018-11-11 @ Start W 1-0 1739 1431 65.6% 21.0% 13.4% +2.9 63
2018-11-11 Sandefjord D 1-1 1554 1441 59.5% 23.6% 16.9% -1.8 38
2018-11-11 @ Sarpsborg 08 D 1-1 1441 1554 16.9% 23.6% 59.5% +1.8 23
2018-11-11 Stabaek L 0-3 1557 1473 56.2% 24.7% 19.1% -27.7 40
2018-11-11 @ Odds W 3-0 1473 1557 19.1% 24.7% 56.2% +27.8 28
2018-11-11 Tromso L 1-2 1473 1497 42.4% 27.6% 30.1% -7.6 42
2018-11-11 @ Ranheim W 2-1 1497 1473 30.1% 27.6% 42.4% +7.6 36
2018-11-11 Valerenga D 1-1 1517 1536 43.1% 27.5% 29.4% -0.5 31
2018-11-11 @ Bodo Glimt D 1-1 1536 1517 29.4% 27.5% 43.1% +0.5 39
2018-11-24 Bodo Glimt D 1-1 1742 1516 71.0% 18.3% 10.7% -2.6 64
2018-11-24 @ Rosenborg D 1-1 1516 1742 10.7% 18.3% 71.0% +2.6 32
2018-11-24 Kristiansund W 2-0 1488 1574 33.7% 27.8% 38.5% +14.2 32
2018-11-24 @ Lillestrom L 0-2 1574 1488 38.5% 27.8% 33.7% -14.2 46
2018-11-24 Molde L 1-3 1443 1681 17.8% 24.1% 58.1% -6.4 23
2018-11-24 @ Sandefjord W 3-1 1681 1443 58.1% 24.1% 17.8% +6.4 59
2018-11-24 Odds W 1-0 1607 1529 55.5% 25.0% 19.6% +4.3 58
2018-11-24 @ Brann L 0-1 1529 1607 19.6% 25.0% 55.5% -4.3 40
2018-11-24 Ranheim W 2-1 1536 1465 54.7% 25.2% 20.1% +4.2 42
2018-11-24 @ Valerenga L 1-2 1465 1536 20.1% 25.2% 54.7% -4.2 42
2018-11-24 Sarpsborg 08 L 0-2 1505 1553 39.1% 27.8% 33.1% -14.3 36
2018-11-24 @ Tromso W 2-0 1553 1505 33.1% 27.8% 39.1% +14.3 41
2018-11-24 Start W 3-1 1587 1428 64.5% 21.5% 14.0% +5.0 53
2018-11-24 @ Haugesund L 1-3 1428 1587 14.0% 21.5% 64.5% -4.9 29
2018-11-24 Stromsgodset D 2-2 1501 1543 39.9% 27.7% 32.4% -0.2 29
2018-11-24 @ Stabaek D 2-2 1543 1501 32.4% 27.7% 39.9% +0.2 31

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
2018-12-05 Aalesund W 1-0 1500 1486 47.5% 26.9% 25.6% +5.5 1-0
2018-12-05 @ Stabaek L 0-1 1486 1500 25.6% 26.9% 47.5% -5.5 0-1
2018-12-09 Stabaek D 1-1 1481 1506 42.3% 27.6% 30.1% -0.5 0-1-1
2018-12-09 @ Aalesund D 1-1 1506 1481 30.1% 27.6% 42.3% +0.5 1-0-1

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 2018-08-26 13.31% Ranheim 1475 3 @ Molde 1646 2
2 2018-09-23 17.12% Start 1428 2 @ Bodo Glimt 1538 1
3 2018-05-13 17.89% Bodo Glimt 1504 2 @ Molde 1604 1
4 2018-04-29 18.92% Odds 1528 1 @ Molde 1614 0
5 2018-08-26 18.94% Kristiansund 1512 2 @ Sarpsborg 08 1598 1
6 2018-11-11 19.05% Stabaek 1473 3 @ Odds 1557 0
7 2018-10-21 19.67% Start 1443 2 @ Tromso 1519 1
8 2018-05-27 19.68% Brann 1639 2 @ Rosenborg 1715 1
9 2018-04-11 21.59% Ranheim 1449 2 @ Sandefjord 1503 1
10 2018-07-01 21.69% Molde 1600 4 @ Brann 1653 0
11 2018-04-22 21.84% Ranheim 1470 1 @ Lillestrom 1521 0
12 2018-08-19 22.15% @ Stabaek 1476 3 Molde 1662 1
13 2018-09-01 22.70% Tromso 1525 4 @ Stromsgodset 1568 2
14 2018-05-16 22.89% Ranheim 1483 3 @ Kristiansund 1523 1
15 2018-06-24 23.67% Tromso 1557 3 @ Sarpsborg 08 1589 2
16 2018-09-16 23.81% Odds 1546 2 @ Sarpsborg 08 1577 1
17 2018-07-09 23.83% Kristiansund 1531 3 @ Stromsgodset 1562 2
18 2018-10-21 23.94% Kristiansund 1535 2 @ Valerenga 1565 0
19 2018-05-13 24.43% Lillestrom 1511 2 @ Tromso 1536 1
20 2018-05-13 24.95% Sarpsborg 08 1566 2 @ Stromsgodset 1586 1
21 2018-06-11 25.01% @ Tromso 1548 2 Rosenborg 1706 1
22 2018-05-27 25.35% Kristiansund 1533 2 @ Odds 1549 1
23 2018-09-30 25.39% Stromsgodset 1547 1 @ Sarpsborg 08 1563 0
24 2018-08-25 25.47% Bodo Glimt 1518 2 @ Tromso 1534 1
25 2018-06-24 25.96% @ Start 1400 2 Kristiansund 1548 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 2018-07-01 34.28 Molde 4 1600 21.69% @ Brann 0 1653 52.50% 25.81%
2 2018-11-11 27.75 Stabaek 3 1473 19.05% @ Odds 0 1557 56.21% 24.74%
3 2018-05-21 24.94 @ Kristiansund 4 1508 37.43% Stromsgodset 0 1567 34.74% 27.83%
4 2018-04-14 24.70 Valerenga 6 1540 38.85% @ Start 1 1452 33.36% 27.79%
5 2018-04-02 23.45 Haugesund 3 1536 27.18% @ Bodo Glimt 0 1536 45.64% 27.18%
6 2018-05-27 21.54 @ Bodo Glimt 4 1498 43.93% Ranheim 0 1511 28.68% 27.40%
7 2018-09-16 20.86 @ Start 3 1407 33.03% Lillestrom 0 1498 39.20% 27.77%
8 2018-05-16 19.51 @ Odds 5 1536 54.67% Sandefjord 0 1465 20.11% 25.21%
9 2018-04-02 19.40 Sandefjord 4 1484 28.13% @ Start 1 1476 44.54% 27.32%
10 2018-04-07 18.84 Stromsgodset 4 1580 29.58% @ Valerenga 1 1559 42.91% 27.51%
11 2018-10-07 18.42 @ Kristiansund 5 1517 42.87% Tromso 1 1538 29.62% 27.51%
12 2018-08-05 18.22 @ Stromsgodset 4 1554 50.18% Bodo Glimt 0 1519 23.46% 26.36%
13 2018-05-21 17.95 @ Tromso 3 1536 40.32% Valerenga 0 1575 31.96% 27.71%
14 2018-08-12 17.86 @ Bodo Glimt 3 1501 40.54% Kristiansund 0 1539 31.76% 27.70%
15 2018-04-08 17.85 @ Rosenborg 4 1667 50.87% Molde 0 1627 22.92% 26.21%
16 2018-04-08 17.79 @ Tromso 4 1508 50.97% Ranheim 0 1467 22.84% 26.19%
17 2018-03-11 17.56 @ Molde 5 1599 57.70% Sandefjord 0 1502 18.05% 24.24%
18 2018-04-02 17.30 @ Ranheim 4 1450 33.86% Stabaek 1 1534 38.34% 27.80%
19 2018-10-21 17.25 Kristiansund 2 1535 23.94% @ Valerenga 0 1565 49.57% 26.49%
20 2018-08-19 16.63 @ Valerenga 3 1535 43.59% Tromso 0 1550 28.98% 27.44%
21 2018-06-24 16.55 @ Start 2 1400 25.96% Kristiansund 0 1548 47.09% 26.95%
22 2018-03-11 16.52 @ Start 4 1459 36.18% Tromso 1 1528 35.98% 27.84%
23 2018-04-02 16.01 @ Sarpsborg 08 3 1571 45.12% Valerenga 0 1575 27.63% 27.25%
24 2018-08-12 15.89 @ Molde 5 1646 48.59% Brann 1 1624 24.72% 26.69%
25 2018-08-19 15.50 @ Stabaek 3 1476 22.15% Molde 1 1662 51.88% 25.97%