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2017 Tippeligaen Season

240 games

Final

Champion

Rosenborg

61 points

Relegated

No relegation

Biggest Overachiever

Sarpsborg 08

7.77 points above expected

51 points · 43.23 expected points

Biggest Disappointment

Viking

12.19 points below expected

24 points · 36.19 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 18 7 5 61 57 20 +37 60.54 +0.46
2 Molde 30 16 6 8 54 50 35 +15 48.24 +5.76
3 Sarpsborg 08 30 13 12 5 51 50 36 +14 43.23 +7.77
4 Stromsgodset 30 14 8 8 50 45 37 +8 44.30 +5.70
5 Brann 30 13 8 9 47 51 36 +15 46.44 +0.56
6 Odds 30 12 6 12 42 27 39 -12 43.52 -1.52
7 Kristiansund 30 10 10 10 40 44 46 -2 33.70 +6.30
8 Valerenga 30 11 6 13 39 48 46 +2 43.68 -4.68
9 Stabaek 30 10 9 11 39 46 50 -4 38.71 +0.29
10 Haugesund 30 11 6 13 39 35 39 -4 40.90 -1.90
11 Tromso 30 10 8 12 38 42 49 -7 35.27 +2.73
12 Lillestrom 30 10 7 13 37 40 43 -3 38.74 -1.74
13 Sandefjord 30 11 3 16 36 38 51 -13 33.83 +2.17
14 Sogndal 30 8 8 14 32 38 48 -10 36.53 -4.53
15 Aalesund 30 8 8 14 32 38 50 -12 38.30 -6.30
16 Viking 30 6 6 18 24 33 57 -24 36.19 -12.19

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 1731 61 60.54 +0.46 55.1% 35 49 56 61 65 71 85
Molde 1620 54 48.24 +5.76 81.3% 24 37 43 48 53 60 74
Stromsgodset 1591 50 44.30 +5.70 81.5% 20 33 40 44 49 56 73
Brann 1576 47 46.44 +0.56 55.8% 17 35 42 47 51 58 77
Sarpsborg 08 1562 51 43.23 +7.77 88.4% 20 32 39 43 48 55 74
Valerenga 1561 39 43.68 -4.68 26.8% 20 32 39 44 48 55 69
Odds 1521 42 43.52 -1.52 44.3% 16 32 39 44 48 55 69
Haugesund 1518 39 40.90 -1.90 42.7% 15 30 36 41 46 53 67
Lillestrom 1518 37 38.74 -1.74 43.6% 15 28 34 39 43 50 66
Stabaek 1515 39 38.71 +0.29 55.0% 14 27 34 39 43 50 63
Tromso 1506 38 35.27 +2.73 69.3% 12 24 31 35 40 47 60
Kristiansund 1505 40 33.70 +6.30 84.3% 11 23 29 34 38 45 60
Sogndal 1486 32 36.53 -4.53 28.1% 14 25 32 36 41 48 68
Aalesund 1480 32 38.30 -6.30 19.8% 11 27 34 38 43 50 65
Viking 1468 24 36.19 -12.19 3.7% 13 25 31 36 41 48 63
Sandefjord 1466 36 33.83 +2.17 65.7% 10 23 29 34 38 45 60

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 AAL BRA HAU KRI LIL MOL ODD ROS SAN S0 SOG STA STR TRO VAL VIK
Aalesund —
0-2-0
2.21
0-0-2
2.74
0-2-0
3.03
1-0-1
2.64
1-0-1
2.30
1-0-1
2.43
1-1-0
1.28
1-0-1
3.00
0-0-2
2.45
0-0-2
2.95
0-1-1
2.80
1-1-0
2.06
1-0-1
3.06
0-0-2
2.50
1-1-0
2.88
Brann
0-2-0
3.30
 —
2-0-0
2.93
0-0-2
3.67
2-0-0
3.18
1-0-1
2.60
1-1-0
2.99
0-0-2
1.78
2-0-0
3.56
0-1-1
3.15
2-0-0
3.46
1-0-1
3.48
1-0-1
2.63
0-2-0
3.23
0-1-1
3.24
1-1-0
3.33
Haugesund
2-0-0
2.77
0-0-2
2.57
 —
0-0-2
3.13
1-1-0
2.86
0-1-1
2.27
0-0-2
2.65
2-0-0
1.62
1-0-1
3.20
0-1-1
2.58
1-1-0
3.17
1-1-0
2.85
0-0-2
2.43
1-0-1
3.10
1-0-1
2.63
1-1-0
3.16
Kristiansund
0-2-0
2.46
2-0-0
1.88
2-0-0
2.37
 —
0-2-0
2.40
1-0-1
1.88
0-1-1
2.16
0-1-1
1.31
1-0-1
2.81
0-1-1
2.07
0-1-1
2.45
2-0-0
2.46
1-0-1
2.03
1-1-0
2.63
0-1-1
2.05
0-0-2
2.72
Lillestrom
1-0-1
2.86
0-0-2
2.33
0-1-1
2.65
0-2-0
3.11
 —
0-0-2
2.15
0-0-2
2.40
0-1-1
1.46
2-0-0
3.09
0-1-1
2.47
2-0-0
2.79
1-1-0
2.70
1-0-1
2.52
1-0-1
2.88
1-0-1
2.47
1-1-0
2.89
Molde
1-0-1
3.22
1-0-1
2.90
1-1-0
3.24
1-0-1
3.66
2-0-0
3.35
 —
2-0-0
2.89
0-0-2
2.03
1-1-0
3.68
0-1-1
3.07
0-1-1
3.47
1-0-1
3.32
0-2-0
3.14
2-0-0
3.69
2-0-0
2.99
2-0-0
3.54
Odds
1-0-1
3.07
0-1-1
2.52
2-0-0
2.84
1-1-0
3.37
2-0-0
3.10
0-0-2
2.63
 —
1-0-1
1.61
1-1-0
3.39
0-1-1
2.81
1-1-0
3.19
0-0-2
3.20
1-0-1
2.73
1-1-0
3.23
1-0-1
2.62
0-0-2
3.22
Rosenborg
0-1-1
4.34
2-0-0
3.77
0-0-2
3.95
1-1-0
4.32
1-1-0
4.14
2-0-0
3.49
1-0-1
3.94
 —
2-0-0
4.27
1-1-0
3.91
2-0-0
4.04
0-2-0
4.16
2-0-0
3.80
1-0-1
4.34
1-1-0
3.85
2-0-0
4.22
Sandefjord
1-0-1
2.51
0-0-2
1.97
1-0-1
2.31
1-0-1
2.69
0-0-2
2.42
0-1-1
1.86
0-1-1
2.12
0-0-2
1.35
 —
1-0-1
2.16
1-0-1
2.59
1-0-1
2.55
0-0-2
2.10
1-1-0
2.73
2-0-0
1.98
2-0-0
2.51
Sarpsborg 08
2-0-0
3.07
1-1-0
2.35
1-1-0
2.92
1-1-0
3.45
1-1-0
3.03
1-1-0
2.44
1-1-0
2.69
0-1-1
1.66
1-0-1
3.36
 —
1-1-0
3.00
0-1-1
3.04
0-2-0
2.73
0-1-1
3.42
2-0-0
2.76
1-0-1
3.21
Sogndal
2-0-0
2.54
0-0-2
2.07
0-1-1
2.34
1-1-0
3.05
0-0-2
2.71
1-1-0
2.05
0-1-1
2.31
0-0-2
1.54
1-0-1
2.92
0-1-1
2.49
 —
1-1-0
2.53
0-1-1
2.25
0-0-2
2.80
1-0-1
2.23
1-1-0
2.72
Stabaek
1-1-0
2.70
1-0-1
2.04
0-1-1
2.67
0-0-2
3.05
0-1-1
2.81
1-0-1
2.18
2-0-0
2.31
0-2-0
1.46
1-0-1
2.95
1-1-0
2.47
0-1-1
2.98
 —
1-0-1
2.52
1-0-1
2.93
1-1-0
2.48
0-1-1
3.16
Stromsgodset
0-1-1
3.45
1-0-1
2.87
2-0-0
3.08
1-0-1
3.49
1-0-1
2.98
0-2-0
2.38
1-0-1
2.78
0-0-2
1.75
2-0-0
3.42
0-2-0
2.78
1-1-0
3.27
1-0-1
2.98
 —
1-1-0
3.22
1-1-0
2.63
2-0-0
3.24
Tromso
1-0-1
2.44
0-2-0
2.29
1-0-1
2.41
0-1-1
2.88
1-0-1
2.61
0-0-2
1.85
0-1-1
2.27
1-0-1
1.29
0-1-1
2.77
1-1-0
2.08
2-0-0
2.70
1-0-1
2.57
0-1-1
2.31
 —
0-1-1
2.20
2-0-0
2.65
Valerenga
2-0-0
3.02
1-1-0
2.27
1-0-1
2.86
1-1-0
3.48
1-0-1
3.04
0-0-2
2.51
1-0-1
2.90
0-1-1
1.72
0-0-2
3.55
0-0-2
2.73
1-0-1
3.27
0-1-1
3.02
0-1-1
2.87
1-1-0
3.33
 —
2-0-0
3.10
Viking
0-1-1
2.62
0-1-1
2.17
0-1-1
2.35
2-0-0
2.80
0-1-1
2.61
0-0-2
1.98
2-0-0
2.30
0-0-2
1.41
0-0-2
3.01
1-0-1
2.28
0-1-1
2.77
1-1-0
2.35
0-0-2
2.26
0-0-2
2.86
0-0-2
2.39
 —

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 0.54 +8.8
Allowed 0.85 -9.6
Differential 0.88 +5.9

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
06.25%7.29%6.67%4.38%0.83%1.04%26.46%
17.29%12.08%7.50%3.33%1.46%1.04%32.71%
26.67%7.50%4.17%2.29%1.25%0.21%22.08%
34.38%3.33%2.29%2.08%0.42%—12.50%
40.83%1.46%1.25%0.42%——3.96%
5+1.04%1.04%0.21%———2.29%
Total26.46%32.71%22.08%12.50%3.96%2.29%100%

Summary Statistics

Scored Allowed Difference
Mean 1.42 1.42 +0.00
SD 1.26 1.26 1.88
CV 0.88 0.88 —
Max 7 7 +6
Min 0 0 -6

Games Played: 240

↓ Scored | Allowed →012345+Total
03.33%16.67%6.67%3.33%3.33%—33.33%
13.33%20.00%—6.67%—3.33%33.33%
23.33%6.67%—6.67%——16.67%
3—6.67%—3.33%——10.00%
4———3.33%——3.33%
5+—3.33%————3.33%
Total10.00%53.33%6.67%23.33%3.33%3.33%100%

Summary Statistics

Scored Allowed Difference
Mean 1.27 1.67 -0.40
SD 1.31 1.24 1.77
CV 1.04 0.74 —
Max 5 5 +4
Min 0 0 -4

Games Played: 30

↓ Scored | Allowed →012345+Total
06.67%10.00%3.33%3.33%3.33%—26.67%
13.33%13.33%10.00%———26.67%
210.00%3.33%3.33%———16.67%
33.33%3.33%6.67%3.33%——16.67%
4—3.33%3.33%———6.67%
5+6.67%—————6.67%
Total30.00%33.33%26.67%6.67%3.33%—100%

Summary Statistics

Scored Allowed Difference
Mean 1.70 1.20 +0.50
SD 1.53 1.06 2.03
CV 0.90 0.89 —
Max 5 4 +5
Min 0 0 -4

Games Played: 30

↓ Scored | Allowed →012345+Total
010.00%6.67%10.00%3.33%——30.00%
113.33%6.67%3.33%10.00%——33.33%
213.33%3.33%3.33%10.00%——30.00%
33.33%—————3.33%
4———3.33%——3.33%
5+———————
Total40.00%16.67%16.67%26.67%——100%

Summary Statistics

Scored Allowed Difference
Mean 1.17 1.30 -0.13
SD 1.02 1.26 1.55
CV 0.87 0.97 —
Max 4 3 +3
Min 0 0 -3

Games Played: 30

↓ Scored | Allowed →012345+Total
03.33%6.67%13.33%———23.33%
110.00%20.00%3.33%—3.33%3.33%40.00%
23.33%—6.67%—3.33%—13.33%
3——10.00%3.33%——13.33%
43.33%6.67%————10.00%
5+———————
Total20.00%33.33%33.33%3.33%6.67%3.33%100%

Summary Statistics

Scored Allowed Difference
Mean 1.47 1.53 -0.07
SD 1.28 1.25 1.78
CV 0.87 0.82 —
Max 4 5 +4
Min 0 0 -4

Games Played: 30

↓ Scored | Allowed →012345+Total
03.33%10.00%10.00%3.33%——26.67%
110.00%10.00%10.00%10.00%——40.00%
23.33%6.67%6.67%———16.67%
3—3.33%—3.33%——6.67%
43.33%3.33%3.33%———10.00%
5+———————
Total20.00%33.33%30.00%16.67%——100%

Summary Statistics

Scored Allowed Difference
Mean 1.33 1.43 -0.10
SD 1.24 1.01 1.67
CV 0.93 0.70 —
Max 4 3 +4
Min 0 0 -3

Games Played: 30

↓ Scored | Allowed →012345+Total
06.67%10.00%————16.67%
113.33%3.33%10.00%—3.33%—30.00%
2—16.67%6.67%3.33%——26.67%
36.67%6.67%6.67%3.33%——23.33%
43.33%—————3.33%
5+———————
Total30.00%36.67%23.33%6.67%3.33%—100%

Summary Statistics

Scored Allowed Difference
Mean 1.67 1.17 +0.50
SD 1.12 1.05 1.46
CV 0.67 0.90 —
Max 4 4 +4
Min 0 0 -3

Games Played: 30

↓ Scored | Allowed →012345+Total
013.33%3.33%13.33%6.67%—3.33%40.00%
120.00%—10.00%——3.33%33.33%
210.00%6.67%6.67%———23.33%
3——3.33%———3.33%
4———————
5+———————
Total43.33%10.00%33.33%6.67%—6.67%100%

Summary Statistics

Scored Allowed Difference
Mean 0.90 1.30 -0.40
SD 0.88 1.44 1.81
CV 0.98 1.11 —
Max 3 5 +2
Min 0 0 -5

Games Played: 30

↓ Scored | Allowed →012345+Total
010.00%10.00%————20.00%
13.33%10.00%6.67%———20.00%
26.67%13.33%————20.00%
326.67%3.33%—3.33%——33.33%
4—3.33%————3.33%
5+—3.33%————3.33%
Total46.67%43.33%6.67%3.33%——100%

Summary Statistics

Scored Allowed Difference
Mean 1.90 0.67 +1.23
SD 1.35 0.76 1.59
CV 0.71 1.14 —
Max 5 3 +4
Min 0 0 -1

Games Played: 30

↓ Scored | Allowed →012345+Total
03.33%10.00%6.67%3.33%—6.67%30.00%
13.33%3.33%10.00%6.67%—3.33%26.67%
216.67%6.67%—6.67%——30.00%
33.33%6.67%—3.33%——13.33%
4———————
5+———————
Total26.67%26.67%16.67%20.00%—10.00%100%

Summary Statistics

Scored Allowed Difference
Mean 1.27 1.70 -0.43
SD 1.05 1.56 2.14
CV 0.83 0.92 —
Max 3 5 +3
Min 0 0 -5

Games Played: 30

↓ Scored | Allowed →012345+Total
010.00%3.33%—3.33%—3.33%20.00%
110.00%13.33%6.67%———30.00%
23.33%13.33%10.00%———26.67%
33.33%6.67%—6.67%——16.67%
4———————
5+3.33%3.33%————6.67%
Total30.00%40.00%16.67%10.00%—3.33%100%

Summary Statistics

Scored Allowed Difference
Mean 1.67 1.20 +0.47
SD 1.35 1.19 1.85
CV 0.81 0.99 —
Max 5 5 +5
Min 0 0 -5

Games Played: 30

↓ Scored | Allowed →012345+Total
06.67%10.00%3.33%13.33%——33.33%
16.67%13.33%10.00%3.33%3.33%—36.67%
23.33%3.33%3.33%3.33%——13.33%
3——3.33%3.33%——6.67%
43.33%3.33%————6.67%
5+——3.33%———3.33%
Total20.00%30.00%23.33%23.33%3.33%—100%

Summary Statistics

Scored Allowed Difference
Mean 1.27 1.60 -0.33
SD 1.36 1.16 1.84
CV 1.08 0.73 —
Max 5 4 +4
Min 0 0 -3

Games Played: 30

↓ Scored | Allowed →012345+Total
06.67%3.33%6.67%3.33%—3.33%23.33%
1—13.33%3.33%6.67%6.67%—30.00%
26.67%6.67%10.00%—3.33%—26.67%
36.67%3.33%3.33%———13.33%
4——3.33%———3.33%
5+3.33%—————3.33%
Total23.33%26.67%26.67%10.00%10.00%3.33%100%

Summary Statistics

Scored Allowed Difference
Mean 1.53 1.67 -0.13
SD 1.28 1.40 2.16
CV 0.83 0.84 —
Max 5 5 +5
Min 0 0 -5

Games Played: 30

↓ Scored | Allowed →012345+Total
06.67%—13.33%3.33%——23.33%
110.00%20.00%3.33%3.33%——36.67%
26.67%10.00%————16.67%
3—10.00%——3.33%—13.33%
4—3.33%6.67%———10.00%
5+———————
Total23.33%43.33%23.33%6.67%3.33%—100%

Summary Statistics

Scored Allowed Difference
Mean 1.50 1.23 +0.27
SD 1.28 1.01 1.57
CV 0.85 0.82 —
Max 4 4 +3
Min 0 0 -3

Games Played: 30

↓ Scored | Allowed →012345+Total
03.33%3.33%3.33%13.33%——23.33%
1—16.67%6.67%3.33%6.67%—33.33%
26.67%13.33%6.67%—3.33%—30.00%
36.67%—3.33%———10.00%
4———————
5+3.33%—————3.33%
Total20.00%33.33%20.00%16.67%10.00%—100%

Summary Statistics

Scored Allowed Difference
Mean 1.40 1.63 -0.23
SD 1.16 1.27 2.06
CV 0.83 0.78 —
Max 5 4 +5
Min 0 0 -3

Games Played: 30

↓ Scored | Allowed →012345+Total
06.67%—10.00%3.33%3.33%—23.33%
110.00%13.33%16.67%———40.00%
23.33%3.33%——3.33%3.33%13.33%
36.67%3.33%——3.33%—13.33%
4——3.33%———3.33%
5+—6.67%————6.67%
Total26.67%26.67%30.00%3.33%10.00%3.33%100%

Summary Statistics

Scored Allowed Difference
Mean 1.60 1.53 +0.07
SD 1.63 1.38 2.21
CV 1.02 0.90 —
Max 7 5 +6
Min 0 0 -4

Games Played: 30

↓ Scored | Allowed →012345+Total
0—13.33%6.67%6.67%3.33%—30.00%
1—16.67%10.00%3.33%—3.33%33.33%
210.00%6.67%3.33%6.67%6.67%—33.33%
33.33%—————3.33%
4———————
5+———————
Total13.33%36.67%20.00%16.67%10.00%3.33%100%

Summary Statistics

Scored Allowed Difference
Mean 1.10 1.90 -0.80
SD 0.88 1.54 1.88
CV 0.80 0.81 —
Max 3 7 +3
Min 0 0 -6

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 Sarpsborg 08 51 43.23 +7.77
2 Kristiansund 40 33.70 +6.30
3 Molde 54 48.24 +5.76
4 Stromsgodset 50 44.30 +5.70
5 Tromso 38 35.27 +2.73

Biggest Disappointments

# Team Actual Sim vsSim
1 Viking 24 36.19 -12.19
2 Aalesund 32 38.30 -6.30
3 Valerenga 39 43.68 -4.68
4 Sogndal 32 36.53 -4.53
5 Haugesund 39 40.90 -1.90

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 Stromsgodset 8 Sep 16 – Nov 19 1 in 810
2 Tromso 4 Oct 22 – Nov 19 1 in 75
3 Kristiansund 3 Nov 4 – Nov 26 1 in 53
4 Odds 4 Apr 30 – May 16 1 in 39
5 Stabaek 3 Apr 9 – Apr 23 1 in 20

Most Unlikely Losing Streaks

# Team Games Dates Probability
1 Haugesund 5 Oct 22 – Nov 26 1 in 183
2 Brann 4 Sep 24 – Oct 22 1 in 71
3 Stabaek 4 May 28 – Jun 25 1 in 63
4 Viking 5 Aug 20 – Oct 1 1 in 60
5 Molde 3 May 6 – May 16 1 in 56

Most Unlikely Unbeaten Streaks

# Team Games Dates Probability
1 Sarpsborg 08 8 Jun 25 – Sep 10 1 in 44
2 Aalesund 5 Apr 9 – May 6 1 in 33
3 Kristiansund 5 Oct 21 – Nov 26 1 in 23
4 Stromsgodset 8 Sep 16 – Nov 19 1 in 20
5 Tromso 5 Oct 22 – Nov 26 1 in 19

Most Unlikely Winless Streaks

# Team Games Dates Probability
1 Aalesund 13 Jul 1 – Oct 30 1 in 372
2 Odds 7 May 21 – Jul 16 1 in 66
3 Rosenborg 4 May 13 – May 28 1 in 46
4 Tromso 9 May 21 – Aug 14 1 in 27
5 Valerenga 7 Jul 2 – Sep 17 1 in 24

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
Rosenborg77.37%13.25%4.58%2.32%1.12%0.72%0.27%0.15%0.09%0.06%0.03%0.03%0.01%———
Molde7.56%22.02%15.59%12.73%9.89%7.96%5.87%4.99%3.82%2.92%2.11%1.77%1.27%0.84%0.45%0.21%
Sarpsborg 081.78%8.03%9.77%10.36%9.37%9.40%9.56%7.63%7.38%6.48%5.52%4.73%3.91%3.10%1.96%1.02%
Stromsgodset2.36%9.71%11.95%11.46%10.23%9.25%8.20%8.10%6.70%5.46%4.74%3.86%3.02%2.48%1.42%1.06%
Brann4.46%16.69%15.07%12.01%10.45%8.82%6.81%6.06%5.03%3.88%3.35%2.40%2.10%1.51%0.85%0.51%
Odds1.95%7.57%8.92%10.03%9.86%9.14%8.67%7.84%7.20%6.98%5.78%4.96%3.92%3.34%2.33%1.51%
Kristiansund0.04%0.51%0.92%1.57%2.11%2.66%3.83%4.13%5.12%6.84%7.60%8.29%10.40%12.42%14.55%19.01%
Valerenga2.08%8.14%10.23%10.36%10.13%9.57%8.92%8.27%7.10%6.03%5.23%4.22%3.68%2.80%2.06%1.18%
Stabaek0.37%2.29%3.68%4.64%5.84%6.32%7.54%8.10%7.67%8.07%8.72%8.28%8.07%7.43%7.21%5.77%
Haugesund0.96%4.19%6.02%6.82%7.68%8.50%8.12%8.32%8.33%7.77%7.18%7.25%6.15%5.55%4.18%2.98%
Tromso0.10%0.91%1.20%2.19%2.79%3.96%4.20%5.65%6.12%7.33%8.18%9.33%11.06%11.20%12.62%13.16%
Lillestrom0.41%2.17%3.92%4.51%5.99%6.69%7.07%7.71%8.41%8.17%8.35%8.81%8.18%7.53%6.80%5.28%
Sandefjord0.04%0.58%0.96%1.27%1.97%2.75%3.57%4.26%4.90%6.04%7.35%9.30%10.07%12.19%15.21%19.54%
Sogndal0.15%1.13%1.83%3.04%3.87%4.63%5.45%6.33%7.24%8.02%8.56%8.72%9.56%10.51%10.41%10.55%
Aalesund0.27%1.94%3.44%4.03%5.34%5.92%6.75%6.88%8.09%8.62%8.63%9.01%8.46%7.91%7.95%6.76%
Viking0.10%0.87%1.92%2.66%3.36%3.71%5.17%5.58%6.80%7.33%8.67%9.04%10.14%11.19%12.00%11.46%

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
+22.92%
Clear Edge
49.17%24.58%26.25%
Elo Value
Home Edge
179 Elo
0.006 goals per Elo point
081.06500
Scoring Tilt
Expected
+0.52 goals
Home-Tilted
-2+0.45+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
1.6
One-Team Race
124610
Champion Preseason Odds
77%
Rosenborg, 1st of 16
LongshotFavorite
Title Margin
Expected
0.23/gm
Tight Race
00.260.5/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 5.48 * Some Luck: 5.48 to 8.22 * Lucky: 8.22 to 10.96 * Wild Swing: 10.96 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 2.44 * Close: 2.44 to 3.66 * Off: 3.66 to 4.89 * Way Off: 4.89 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
5.11 points
As Expected
06.8517
Average Finish Error
Expected
2.38
Pinpoint
03.058
Biggest Overachiever
Expected 96.88%
88.37%
Sarpsborg 08
50100
Biggest Underachiever
Expected 3.12%
3.69%
Viking
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
0.12
Balanced
00.120.180.260.5
Noll-Scully
Coin-flip
1.13
Moderate Separation
01.003
Interquartile Edge
59%
Even
50%60%70%80%100%
Best vs. Worst
Baseline
82%
Strong Edge
50%81%100%
Close Games
Expected
60%
Very Frequent
0%57%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
0.62
Predictable
00.612
Matchup Imbalance
0.32
Lopsided
00.10.180.280.5
Strangeness
Expected
0.56
Very Predictable
01.002
Repeatability
0.57
Some Carryover
00.30.60.851
Upset Rate
Expected
24%
Chalky
0%26%50%
Clear Favorite Upset Rate
Expected
21%
As Expected
0%23%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 0.16 * Above Noise: 0.16 to 0.21 * Well Above Noise: 0.21 and up.
Probability calibration
0.96
Excellent
0.010.050.10.51
Calibration slope
Ideal
0.85
Overconfident
0.51.001.5
Calibration error (ECE)
Noise ceiling
0.072
Well Within Noise
00.1040.25

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 98.50% 0.84% 0.66%
Brann 97.13% 1.51% 1.36%
Stromsgodset 95.04% 2.48% 2.48%
Valerenga 93.96% 2.80% 3.24%
Sarpsborg 08 93.92% 3.10% 2.98%
Odds 92.82% 3.34% 3.84%
Haugesund 87.29% 5.55% 7.16%
Lillestrom 80.39% 7.53% 12.08%
Stabaek 79.59% 7.43% 12.98%
Aalesund 77.38% 7.91% 14.71%
Viking 65.35% 11.19% 23.46%
Tromso 63.02% 11.20% 25.78%
Kristiansund 54.02% 12.42% 33.56%
Sandefjord 53.06% 12.19% 34.75%
Sogndal — 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
2017-04-01 Molde L 0-1 1464 1581 32.1% 25.9% 42.1% -4.6 0
2017-04-01 @ Kristiansund W 1-0 1581 1464 42.1% 25.9% 32.1% +4.6 3
2017-04-02 Aalesund W 3-1 1515 1523 47.2% 25.2% 27.6% +6.6 3
2017-04-02 @ Stabaek L 1-3 1523 1515 27.6% 25.2% 47.2% -6.6 0
2017-04-02 Brann D 1-1 1499 1558 40.1% 26.0% 33.9% -0.2 1
2017-04-02 @ Tromso D 1-1 1558 1499 33.9% 26.0% 40.1% +0.2 1
2017-04-02 Haugesund W 3-1 1574 1526 54.5% 23.5% 22.0% +5.4 3
2017-04-02 @ Stromsgodset L 1-3 1526 1574 22.0% 23.5% 54.5% -5.4 0
2017-04-02 Odds W 3-0 1675 1580 60.2% 21.6% 18.2% +7.4 3
2017-04-02 @ Rosenborg L 0-3 1580 1675 18.2% 21.6% 60.2% -7.4 0
2017-04-02 Sandefjord W 2-1 1527 1466 56.2% 23.0% 20.8% +2.9 3
2017-04-02 @ Lillestrom L 1-2 1466 1527 20.8% 23.0% 56.2% -2.9 0
2017-04-02 Sogndal W 3-1 1524 1512 49.9% 24.7% 25.4% +6.1 3
2017-04-02 @ Sarpsborg 08 L 1-3 1512 1524 25.4% 24.7% 49.9% -6.1 0
2017-04-03 Viking W 1-0 1565 1541 51.4% 24.3% 24.3% +3.6 3
2017-04-03 @ Valerenga L 0-1 1541 1565 24.3% 24.3% 51.4% -3.6 0
2017-04-05 Kristiansund W 2-0 1573 1460 62.3% 20.7% 17.0% +4.7 3
2017-04-05 @ Odds L 0-2 1460 1573 17.0% 20.7% 62.3% -4.7 0
2017-04-05 Lillestrom W 2-1 1586 1530 55.5% 23.2% 21.3% +3.0 6
2017-04-05 @ Molde L 1-2 1530 1586 21.3% 23.2% 55.5% -3.0 3
2017-04-05 Rosenborg L 0-3 1463 1682 21.2% 23.2% 55.7% -8.7 0
2017-04-05 @ Sandefjord W 3-0 1682 1463 55.7% 23.2% 21.2% +8.7 6
2017-04-05 Sarpsborg 08 L 1-3 1517 1530 46.5% 25.3% 28.1% -9.9 0
2017-04-05 @ Aalesund W 3-1 1530 1517 28.1% 25.3% 46.5% +9.9 6
2017-04-05 Stabaek W 4-1 1505 1522 46.1% 25.4% 28.5% +9.6 3
2017-04-05 @ Sogndal L 1-4 1522 1505 28.5% 25.4% 46.1% -9.6 3
2017-04-06 Stromsgodset W 3-0 1558 1579 45.5% 25.5% 29.0% +11.5 4
2017-04-06 @ Brann L 0-3 1579 1558 29.0% 25.5% 45.5% -11.5 3
2017-04-06 Tromso L 1-2 1537 1499 53.3% 23.8% 22.8% -6.4 0
2017-04-06 @ Viking W 2-1 1499 1537 22.8% 23.8% 53.3% +6.4 4
2017-04-06 Valerenga W 4-3 1521 1568 41.7% 25.9% 32.4% +4.0 3
2017-04-06 @ Haugesund L 3-4 1568 1521 32.4% 25.9% 41.7% -4.0 3
2017-04-08 Molde W 2-1 1691 1589 61.1% 21.2% 17.7% +2.5 9
2017-04-08 @ Rosenborg L 1-2 1589 1691 17.7% 21.2% 61.1% -2.5 6
2017-04-09 Aalesund D 1-1 1567 1507 56.1% 23.0% 20.9% -1.0 4
2017-04-09 @ Stromsgodset D 1-1 1507 1567 20.9% 23.0% 56.1% +1.0 1
2017-04-09 Haugesund L 0-2 1527 1525 48.6% 24.9% 26.4% -11.9 3
2017-04-09 @ Lillestrom W 2-0 1525 1527 26.4% 24.9% 48.6% +11.9 6
2017-04-09 Odds W 2-0 1512 1578 39.2% 26.0% 34.8% +9.2 6
2017-04-09 @ Stabaek L 0-2 1578 1512 34.8% 26.0% 39.2% -9.2 3
2017-04-09 Sandefjord L 1-2 1564 1454 62.0% 20.9% 17.2% -7.2 3
2017-04-09 @ Valerenga W 2-1 1454 1564 17.2% 20.9% 62.0% +7.2 3
2017-04-09 Sogndal W 3-0 1505 1515 47.0% 25.2% 27.8% +11.1 7
2017-04-09 @ Tromso L 0-3 1515 1505 27.8% 25.2% 47.0% -11.1 3
2017-04-09 Viking W 3-0 1540 1531 49.4% 24.8% 25.8% +10.4 9
2017-04-09 @ Sarpsborg 08 L 0-3 1531 1540 25.8% 24.8% 49.4% -10.4 0
2017-04-10 Brann W 1-0 1455 1570 32.3% 25.9% 41.8% +5.6 3
2017-04-10 @ Kristiansund L 0-1 1570 1455 41.8% 25.9% 32.3% -5.6 4
2017-04-17 Haugesund W 3-1 1564 1536 52.0% 24.2% 23.8% +5.8 7
2017-04-17 @ Brann L 1-3 1536 1564 23.8% 24.2% 52.0% -5.8 6
2017-04-17 Kristiansund W 2-0 1461 1460 48.4% 25.0% 26.6% +7.4 6
2017-04-17 @ Sandefjord L 0-2 1460 1461 26.6% 25.0% 48.4% -7.4 3
2017-04-17 Lillestrom W 3-1 1508 1515 47.3% 25.2% 27.5% +6.6 4
2017-04-17 @ Aalesund L 1-3 1515 1508 27.5% 25.2% 47.3% -6.6 3
2017-04-17 Rosenborg L 0-1 1521 1693 25.6% 24.7% 49.7% -3.8 0
2017-04-17 @ Viking W 1-0 1693 1521 49.7% 24.7% 25.6% +3.8 12
2017-04-17 Sarpsborg 08 W 3-0 1521 1550 44.4% 25.6% 30.0% +11.9 9
2017-04-17 @ Stabaek L 0-3 1550 1521 30.0% 25.6% 44.4% -11.8 9
2017-04-17 Stromsgodset D 1-1 1504 1566 39.6% 26.0% 34.4% -0.1 4
2017-04-17 @ Sogndal D 1-1 1566 1504 34.4% 26.0% 39.6% +0.1 5
2017-04-17 Tromso W 1-0 1568 1516 55.0% 23.4% 21.6% +3.2 6
2017-04-17 @ Odds L 0-1 1516 1568 21.6% 23.4% 55.0% -3.2 7
2017-04-17 Valerenga W 4-0 1586 1557 52.1% 24.2% 23.7% +12.6 9
2017-04-17 @ Molde L 0-4 1557 1586 23.7% 24.2% 52.1% -12.6 3
2017-04-22 Sandefjord W 1-0 1566 1469 60.6% 21.4% 18.0% +2.7 8
2017-04-22 @ Stromsgodset L 0-1 1469 1566 18.0% 21.4% 60.6% -2.7 6
2017-04-23 Aalesund D 0-0 1697 1514 69.9% 17.3% 12.9% -1.9 13
2017-04-23 @ Rosenborg D 0-0 1514 1697 12.9% 17.3% 69.9% +1.9 5
2017-04-23 Brann L 0-2 1509 1570 39.8% 26.0% 34.2% -10.1 3
2017-04-23 @ Lillestrom W 2-0 1570 1509 34.2% 26.0% 39.8% +10.1 10
2017-04-23 Kristiansund W 5-1 1538 1453 59.1% 22.0% 18.9% +8.4 12
2017-04-23 @ Sarpsborg 08 L 1-5 1453 1538 18.9% 22.0% 59.1% -8.4 3
2017-04-23 Odds W 3-0 1517 1572 40.7% 26.0% 33.3% +12.9 3
2017-04-23 @ Viking L 0-3 1572 1517 33.3% 26.0% 40.7% -12.9 6
2017-04-23 Sogndal W 3-0 1544 1504 53.6% 23.8% 22.6% +9.2 6
2017-04-23 @ Valerenga L 0-3 1504 1544 22.6% 23.8% 53.6% -9.2 4
2017-04-23 Stabaek L 0-3 1513 1533 45.6% 25.5% 29.0% -16.4 7
2017-04-23 @ Tromso W 3-0 1533 1513 29.0% 25.5% 45.6% +16.4 12
2017-04-24 Molde D 0-0 1531 1599 38.8% 26.1% 35.1% -0.1 7
2017-04-24 @ Haugesund D 0-0 1599 1531 35.1% 26.1% 38.8% +0.1 10
2017-04-29 Viking D 1-1 1580 1530 54.9% 23.4% 21.7% -1.0 11
2017-04-29 @ Brann D 1-1 1530 1580 21.7% 23.4% 54.9% +1.0 4
2017-04-30 Haugesund L 0-3 1550 1531 50.8% 24.5% 24.7% -17.8 12
2017-04-30 @ Stabaek W 3-0 1531 1550 24.7% 24.5% 50.8% +17.8 10
2017-04-30 Lillestrom L 0-1 1495 1499 47.7% 25.1% 27.1% -6.2 4
2017-04-30 @ Sogndal W 1-0 1499 1495 27.1% 25.1% 47.7% +6.2 6
2017-04-30 Molde D 3-3 1466 1599 30.1% 25.6% 44.3% +0.2 7
2017-04-30 @ Sandefjord D 3-3 1599 1466 44.3% 25.6% 30.1% -0.2 11
2017-04-30 Stromsgodset W 2-0 1445 1569 31.1% 25.8% 43.1% +10.8 6
2017-04-30 @ Kristiansund L 0-2 1569 1445 43.1% 25.8% 31.1% -10.8 8
2017-04-30 Tromso W 3-1 1516 1497 50.9% 24.5% 24.7% +6.0 8
2017-04-30 @ Aalesund L 1-3 1497 1516 24.7% 24.5% 50.9% -6.0 7
2017-04-30 Valerenga W 2-1 1559 1554 49.0% 24.9% 26.1% +3.6 9
2017-04-30 @ Odds L 1-2 1554 1559 26.1% 24.9% 49.0% -3.6 6
2017-05-01 Rosenborg L 1-2 1547 1695 28.2% 25.3% 46.5% -3.9 12
2017-05-01 @ Sarpsborg 08 W 2-1 1695 1547 46.5% 25.3% 28.2% +3.9 16
2017-05-06 Aalesund L 0-1 1599 1522 58.0% 22.4% 19.6% -7.2 11
2017-05-06 @ Molde W 1-0 1522 1599 19.6% 22.4% 58.0% +7.2 11
2017-05-07 Brann W 2-1 1699 1579 63.1% 20.4% 16.5% +2.3 19
2017-05-07 @ Rosenborg L 1-2 1579 1699 16.5% 20.4% 63.1% -2.3 11
2017-05-07 Kristiansund D 1-1 1491 1455 52.9% 24.0% 23.1% -0.8 8
2017-05-07 @ Tromso D 1-1 1455 1491 23.1% 24.0% 52.9% +0.8 7
2017-05-07 Sandefjord L 0-2 1531 1466 56.6% 22.9% 20.6% -13.4 4
2017-05-07 @ Viking W 2-0 1466 1531 20.6% 22.9% 56.6% +13.4 10
2017-05-07 Sarpsborg 08 D 1-1 1558 1543 50.4% 24.6% 25.0% -0.7 9
2017-05-07 @ Stromsgodset D 1-1 1543 1558 25.0% 24.6% 50.4% +0.7 13
2017-05-07 Sogndal D 0-0 1548 1488 56.0% 23.0% 20.9% -1.1 11
2017-05-07 @ Haugesund D 0-0 1488 1548 20.9% 23.0% 56.0% +1.1 5
2017-05-07 Stabaek D 1-1 1550 1532 50.7% 24.5% 24.8% -0.7 7
2017-05-07 @ Valerenga D 1-1 1532 1550 24.8% 24.5% 50.7% +0.7 13
2017-05-08 Odds L 0-1 1505 1562 40.3% 26.0% 33.7% -5.4 6
2017-05-08 @ Lillestrom W 1-0 1562 1505 33.7% 26.0% 40.3% +5.4 12
2017-05-12 Valerenga L 0-1 1529 1549 45.6% 25.5% 28.9% -6.0 11
2017-05-12 @ Aalesund W 1-0 1549 1529 28.9% 25.5% 45.6% +6.0 10
2017-05-13 Haugesund W 2-0 1480 1547 38.9% 26.0% 35.0% +9.2 13
2017-05-13 @ Sandefjord L 0-2 1547 1480 35.0% 26.0% 38.9% -9.2 11
2017-05-13 Lillestrom D 1-1 1456 1499 42.4% 25.8% 31.8% -0.3 8
2017-05-13 @ Kristiansund D 1-1 1499 1456 31.8% 25.8% 42.4% +0.3 7
2017-05-13 Molde W 4-1 1577 1591 46.4% 25.4% 28.3% +9.5 14
2017-05-13 @ Brann L 1-4 1591 1577 28.3% 25.4% 46.4% -9.5 11
2017-05-13 Rosenborg D 0-0 1532 1701 25.9% 24.8% 49.2% +0.7 14
2017-05-13 @ Stabaek D 0-0 1701 1532 49.2% 24.8% 25.9% -0.7 20
2017-05-13 Stromsgodset W 2-0 1568 1558 49.6% 24.8% 25.6% +7.1 15
2017-05-13 @ Odds L 0-2 1558 1568 25.6% 24.8% 49.6% -7.1 9
2017-05-13 Tromso D 1-1 1543 1490 55.2% 23.3% 21.5% -1.0 14
2017-05-13 @ Sarpsborg 08 D 1-1 1490 1543 21.5% 23.3% 55.2% +1.0 9
2017-05-13 Viking W 4-0 1489 1517 44.5% 25.6% 29.9% +15.4 8
2017-05-13 @ Sogndal L 0-4 1517 1489 29.9% 25.6% 44.5% -15.4 4
2017-05-16 Aalesund L 1-2 1502 1523 45.4% 25.5% 29.1% -5.6 4
2017-05-16 @ Viking W 2-1 1523 1502 29.1% 25.5% 45.4% +5.6 14
2017-05-16 Kristiansund W 1-0 1555 1456 60.7% 21.4% 17.9% +2.7 13
2017-05-16 @ Valerenga L 0-1 1456 1555 17.9% 21.4% 60.7% -2.7 8
2017-05-16 Odds L 0-2 1538 1575 43.2% 25.8% 31.0% -10.8 11
2017-05-16 @ Haugesund W 2-0 1575 1538 31.0% 25.8% 43.2% +10.8 18
2017-05-16 Sandefjord W 5-0 1587 1489 60.6% 21.4% 18.0% +11.8 17
2017-05-16 @ Brann L 0-5 1489 1587 18.0% 21.4% 60.6% -11.8 13
2017-05-16 Sarpsborg 08 L 1-2 1500 1542 42.4% 25.8% 31.7% -5.3 7
2017-05-16 @ Lillestrom W 2-1 1542 1500 31.7% 25.8% 42.4% +5.3 17
2017-05-16 Sogndal L 1-2 1582 1505 58.1% 22.3% 19.6% -6.8 11
2017-05-16 @ Molde W 2-1 1505 1582 19.6% 22.3% 58.1% +6.8 11
2017-05-16 Stabaek L 1-2 1551 1533 50.6% 24.5% 24.9% -6.1 9
2017-05-16 @ Stromsgodset W 2-1 1533 1551 24.9% 24.5% 50.6% +6.1 17
2017-05-16 Tromso L 1-2 1701 1491 72.5% 15.9% 11.6% -8.1 20
2017-05-16 @ Rosenborg W 2-1 1491 1701 11.6% 15.9% 72.5% +8.1 12
2017-05-20 Brann L 2-3 1512 1598 36.2% 26.1% 37.8% -4.5 11
2017-05-20 @ Sogndal W 3-2 1598 1512 37.8% 26.1% 36.2% +4.5 20
2017-05-20 Lillestrom D 1-1 1693 1494 71.4% 16.5% 12.1% -1.8 21
2017-05-20 @ Rosenborg D 1-1 1494 1693 12.1% 16.5% 71.4% +1.8 8
2017-05-21 Haugesund W 3-2 1453 1527 38.0% 26.1% 35.9% +4.5 11
2017-05-21 @ Kristiansund L 2-3 1527 1453 35.9% 26.1% 38.0% -4.5 11
2017-05-21 Molde L 1-2 1586 1575 49.7% 24.7% 25.6% -6.0 18
2017-05-21 @ Odds W 2-1 1575 1586 25.6% 24.7% 49.7% +6.0 14
2017-05-21 Sandefjord W 2-0 1529 1477 55.0% 23.4% 21.6% +6.1 17
2017-05-21 @ Aalesund L 0-2 1477 1529 21.6% 23.4% 55.0% -6.1 13
2017-05-21 Stromsgodset D 1-1 1499 1544 42.0% 25.9% 32.1% -0.3 13
2017-05-21 @ Tromso D 1-1 1544 1499 32.1% 25.9% 42.0% +0.3 10
2017-05-21 Valerenga W 2-0 1548 1558 46.9% 25.3% 27.8% +7.7 20
2017-05-21 @ Sarpsborg 08 L 0-2 1558 1548 27.8% 25.3% 46.9% -7.7 13
2017-05-22 Viking D 1-1 1539 1496 53.9% 23.7% 22.4% -0.9 18
2017-05-22 @ Stabaek D 1-1 1496 1539 22.4% 23.7% 53.9% +0.9 5
2017-05-27 Odds D 0-0 1471 1580 33.1% 25.9% 40.9% +0.2 14
2017-05-27 @ Sandefjord D 0-0 1580 1471 40.9% 25.9% 33.1% -0.2 19
2017-05-28 Aalesund D 1-1 1603 1535 57.0% 22.7% 20.3% -1.1 21
2017-05-28 @ Brann D 1-1 1535 1603 20.3% 22.7% 57.0% +1.1 18
2017-05-28 Rosenborg D 1-1 1550 1691 29.1% 25.5% 45.4% +0.5 14
2017-05-28 @ Valerenga D 1-1 1691 1550 45.4% 25.5% 29.1% -0.4 22
2017-05-28 Sarpsborg 08 D 0-0 1523 1555 43.8% 25.7% 30.5% -0.4 12
2017-05-28 @ Haugesund D 0-0 1555 1523 30.5% 25.7% 43.8% +0.4 21
2017-05-28 Sogndal D 1-1 1458 1507 41.5% 25.9% 32.6% -0.2 12
2017-05-28 @ Kristiansund D 1-1 1507 1458 32.6% 25.9% 41.5% +0.2 12
2017-05-28 Stabaek W 3-1 1581 1538 53.9% 23.7% 22.4% +5.5 17
2017-05-28 @ Molde L 1-3 1538 1581 22.4% 23.7% 53.9% -5.5 18
2017-05-28 Tromso W 4-1 1496 1499 47.9% 25.1% 27.0% +9.1 11
2017-05-28 @ Lillestrom L 1-4 1499 1496 27.0% 25.1% 47.9% -9.2 13
2017-05-29 Viking W 4-2 1545 1497 54.5% 23.5% 22.0% +4.8 13
2017-05-29 @ Stromsgodset L 2-4 1497 1545 22.0% 23.5% 54.5% -4.8 5
2017-06-03 Lillestrom L 2-4 1533 1505 51.9% 24.2% 23.8% -9.7 18
2017-06-03 @ Stabaek W 4-2 1505 1533 23.8% 24.2% 51.9% +9.7 14
2017-06-03 Valerenga L 2-4 1490 1551 39.8% 26.0% 34.2% -7.9 13
2017-06-03 @ Tromso W 4-2 1551 1490 34.2% 26.0% 39.8% +7.9 17
2017-06-04 Brann D 0-0 1579 1602 45.3% 25.5% 29.2% -0.5 20
2017-06-04 @ Odds D 0-0 1602 1579 29.2% 25.5% 45.3% +0.5 22
2017-06-04 Haugesund L 0-1 1536 1522 50.1% 24.6% 25.2% -6.5 18
2017-06-04 @ Aalesund W 1-0 1522 1536 25.2% 24.6% 50.1% +6.4 15
2017-06-04 Kristiansund W 2-1 1492 1458 52.8% 24.0% 23.2% +3.2 8
2017-06-04 @ Viking L 1-2 1458 1492 23.2% 24.0% 52.8% -3.2 12
2017-06-04 Molde W 1-0 1556 1587 44.1% 25.7% 30.2% +4.4 24
2017-06-04 @ Sarpsborg 08 L 0-1 1587 1556 30.2% 25.7% 44.1% -4.4 17
2017-06-04 Sandefjord W 3-2 1508 1471 53.0% 23.9% 23.0% +3.1 15
2017-06-04 @ Sogndal L 2-3 1471 1508 23.0% 23.9% 53.0% -3.1 14
2017-06-04 Stromsgodset W 3-1 1690 1549 65.5% 19.4% 15.2% +3.6 25
2017-06-04 @ Rosenborg L 1-3 1549 1690 15.2% 19.4% 65.5% -3.6 13
2017-06-17 Aalesund D 1-1 1454 1530 37.8% 26.1% 36.2% -0.0 13
2017-06-17 @ Kristiansund D 1-1 1530 1454 36.2% 26.1% 37.8% +0.0 19
2017-06-18 Odds D 0-0 1511 1579 38.8% 26.1% 35.2% -0.1 16
2017-06-18 @ Sogndal D 0-0 1579 1511 35.2% 26.1% 38.8% +0.1 21
2017-06-18 Rosenborg W 1-0 1529 1694 26.4% 24.9% 48.7% +6.3 18
2017-06-18 @ Haugesund L 0-1 1694 1529 48.7% 24.9% 26.4% -6.3 25
2017-06-18 Sarpsborg 08 W 1-0 1468 1560 35.4% 26.1% 38.5% +5.2 17
2017-06-18 @ Sandefjord L 0-1 1560 1468 38.5% 26.1% 35.4% -5.2 24
2017-06-18 Stromsgodset D 1-1 1558 1546 50.0% 24.7% 25.4% -0.7 18
2017-06-18 @ Valerenga D 1-1 1546 1558 25.4% 24.7% 50.0% +0.7 14
2017-06-18 Tromso W 3-0 1582 1482 60.9% 21.3% 17.8% +7.3 20
2017-06-18 @ Molde L 0-3 1482 1582 17.8% 21.3% 60.9% -7.2 13
2017-06-18 Viking W 1-0 1515 1496 50.9% 24.5% 24.7% +3.7 17
2017-06-18 @ Lillestrom L 0-1 1496 1515 24.7% 24.5% 50.9% -3.6 8
2017-06-19 Stabaek W 5-0 1602 1523 58.4% 22.2% 19.4% +12.8 25
2017-06-19 @ Brann L 0-5 1523 1602 19.4% 22.2% 58.4% -12.8 18
2017-06-24 Lillestrom W 3-1 1558 1519 53.4% 23.8% 22.8% +5.5 21
2017-06-24 @ Valerenga L 1-3 1519 1558 22.8% 23.8% 53.4% -5.5 17
2017-06-25 Brann D 1-1 1555 1615 40.0% 26.0% 34.0% -0.2 25
2017-06-25 @ Sarpsborg 08 D 1-1 1615 1555 34.0% 26.0% 40.0% +0.2 26
2017-06-25 Haugesund D 1-1 1492 1535 42.4% 25.8% 31.8% -0.3 9
2017-06-25 @ Viking D 1-1 1535 1492 31.8% 25.8% 42.4% +0.3 19
2017-06-25 Kristiansund L 1-4 1510 1454 55.5% 23.2% 21.3% -16.2 18
2017-06-25 @ Stabaek W 4-1 1454 1510 21.3% 23.2% 55.5% +16.2 16
2017-06-25 Odds W 5-1 1530 1579 41.5% 25.9% 32.6% +13.8 22
2017-06-25 @ Aalesund L 1-5 1579 1530 32.6% 25.9% 41.5% -13.8 21
2017-06-25 Sandefjord D 1-1 1474 1473 48.4% 25.0% 26.6% -0.6 14
2017-06-25 @ Tromso D 1-1 1473 1474 26.6% 25.0% 48.4% +0.6 18
2017-06-25 Sogndal W 3-0 1688 1510 69.3% 17.5% 13.2% +5.1 28
2017-06-25 @ Rosenborg L 0-3 1510 1688 13.2% 17.5% 69.3% -5.1 16
2017-06-26 Molde D 1-1 1547 1589 42.4% 25.8% 31.8% -0.3 15
2017-06-26 @ Stromsgodset D 1-1 1589 1547 31.8% 25.8% 42.4% +0.3 21
2017-07-01 Aalesund W 1-0 1505 1544 43.0% 25.8% 31.2% +4.5 19
2017-07-01 @ Sogndal L 0-1 1544 1505 31.2% 25.8% 43.0% -4.5 22
2017-07-01 Stromsgodset W 2-0 1513 1546 43.8% 25.7% 30.6% +8.3 20
2017-07-01 @ Lillestrom L 0-2 1546 1513 30.6% 25.7% 43.8% -8.3 15
2017-07-02 Sarpsborg 08 D 0-0 1565 1555 49.7% 24.7% 25.6% -0.8 22
2017-07-02 @ Odds D 0-0 1555 1565 25.6% 24.7% 49.7% +0.8 26
2017-07-02 Stabaek L 1-2 1474 1494 45.6% 25.5% 29.0% -5.6 18
2017-07-02 @ Sandefjord W 2-1 1494 1474 29.0% 25.5% 45.6% +5.6 21
2017-07-02 Tromso W 2-0 1535 1474 56.2% 23.0% 20.8% +5.9 22
2017-07-02 @ Haugesund L 0-2 1474 1535 20.8% 23.0% 56.2% -5.9 14
2017-07-02 Valerenga D 0-0 1615 1563 55.0% 23.4% 21.6% -1.1 27
2017-07-02 @ Brann D 0-0 1563 1615 21.6% 23.4% 55.0% +1.1 22
2017-07-02 Viking W 3-2 1590 1492 60.6% 21.4% 18.0% +2.4 24
2017-07-02 @ Molde L 2-3 1492 1590 18.0% 21.4% 60.6% -2.4 9
2017-07-03 Rosenborg D 3-3 1470 1693 20.9% 23.0% 56.1% +0.6 17
2017-07-03 @ Kristiansund D 3-3 1693 1470 56.1% 23.0% 20.9% -0.6 29
2017-07-08 Molde L 0-3 1539 1592 41.0% 25.9% 33.1% -15.1 22
2017-07-08 @ Aalesund W 3-0 1592 1539 33.1% 25.9% 41.0% +15.1 27
2017-07-08 Sandefjord W 5-1 1692 1468 73.9% 15.2% 10.9% +4.5 32
2017-07-08 @ Rosenborg L 1-5 1468 1692 10.9% 15.2% 73.9% -4.5 18
2017-07-09 Brann W 2-0 1500 1614 32.4% 25.9% 41.7% +10.5 24
2017-07-09 @ Stabaek L 0-2 1614 1500 41.7% 25.9% 32.4% -10.5 27
2017-07-09 Kristiansund W 4-2 1538 1471 56.9% 22.8% 20.4% +4.5 18
2017-07-09 @ Stromsgodset L 2-4 1471 1538 20.4% 22.8% 56.9% -4.4 17
2017-07-09 Sogndal D 1-1 1489 1510 45.5% 25.5% 29.0% -0.5 10
2017-07-09 @ Viking D 1-1 1510 1489 29.0% 25.5% 45.5% +0.5 20
2017-07-10 Lillestrom D 3-3 1556 1521 52.8% 24.0% 23.2% -0.5 27
2017-07-10 @ Sarpsborg 08 D 3-3 1521 1556 23.2% 24.0% 52.8% +0.5 21
2017-07-15 Rosenborg L 0-3 1510 1697 24.2% 24.3% 51.5% -9.8 20
2017-07-15 @ Sogndal W 3-0 1697 1510 51.5% 24.3% 24.2% +9.8 35
2017-07-15 Stabaek D 2-2 1522 1510 49.8% 24.7% 25.5% -0.5 22
2017-07-15 @ Lillestrom D 2-2 1510 1522 25.5% 24.7% 49.8% +0.5 25
2017-07-16 Aalesund W 2-0 1541 1524 50.6% 24.5% 24.9% +7.0 25
2017-07-16 @ Haugesund L 0-2 1524 1541 24.9% 24.5% 50.6% -6.9 22
2017-07-16 Sarpsborg 08 L 0-1 1604 1555 54.6% 23.5% 21.9% -6.9 27
2017-07-16 @ Brann W 1-0 1555 1604 21.9% 23.5% 54.6% +6.9 30
2017-07-16 Stromsgodset D 0-0 1607 1542 56.6% 22.9% 20.5% -1.2 28
2017-07-16 @ Molde D 0-0 1542 1607 20.5% 22.9% 56.6% +1.2 19
2017-07-16 Tromso W 3-0 1464 1468 47.8% 25.1% 27.1% +10.9 21
2017-07-16 @ Sandefjord L 0-3 1468 1464 27.1% 25.1% 47.8% -10.9 14
2017-07-16 Viking L 0-2 1565 1489 57.9% 22.4% 19.7% -13.7 22
2017-07-16 @ Odds W 2-0 1489 1565 19.7% 22.4% 57.9% +13.7 13
2017-07-17 Valerenga D 1-1 1467 1564 34.6% 26.0% 39.4% +0.1 18
2017-07-17 @ Kristiansund D 1-1 1564 1467 39.4% 26.0% 34.6% -0.1 23
2017-08-05 Kristiansund W 4-1 1707 1467 75.3% 14.4% 10.2% +3.2 38
2017-08-05 @ Rosenborg L 1-4 1467 1707 10.2% 14.4% 75.3% -3.2 18
2017-08-06 Brann D 3-3 1517 1597 37.2% 26.1% 36.8% -0.0 23
2017-08-06 @ Aalesund D 3-3 1597 1517 36.8% 26.1% 37.2% +0.0 28
2017-08-06 Haugesund W 2-1 1562 1548 50.1% 24.6% 25.2% +3.5 33
2017-08-06 @ Sarpsborg 08 L 1-2 1548 1562 25.2% 24.6% 50.1% -3.5 25
2017-08-06 Lillestrom D 2-2 1502 1521 45.7% 25.4% 28.8% -0.4 14
2017-08-06 @ Viking D 2-2 1521 1502 28.8% 25.4% 45.7% +0.3 23
2017-08-06 Molde L 1-2 1457 1606 28.2% 25.3% 46.5% -3.9 14
2017-08-06 @ Tromso W 2-1 1606 1457 46.5% 25.3% 28.2% +3.9 31
2017-08-06 Sandefjord L 1-3 1511 1475 53.0% 23.9% 23.1% -11.0 25
2017-08-06 @ Stabaek W 3-1 1475 1511 23.1% 23.9% 53.0% +11.0 24
2017-08-06 Sogndal W 2-1 1551 1500 54.8% 23.4% 21.8% +3.1 25
2017-08-06 @ Odds L 1-2 1500 1551 21.8% 23.4% 54.8% -3.1 20
2017-08-07 Valerenga W 2-0 1544 1564 45.5% 25.5% 29.0% +8.0 22
2017-08-07 @ Stromsgodset L 0-2 1564 1544 29.0% 25.5% 45.5% -8.0 23
2017-08-11 Sogndal W 2-1 1486 1497 46.7% 25.3% 28.0% +3.8 27
2017-08-11 @ Sandefjord L 1-2 1497 1486 28.0% 25.3% 46.7% -3.9 20
2017-08-12 Rosenborg L 1-2 1610 1710 34.3% 26.0% 39.7% -4.5 31
2017-08-12 @ Molde W 2-1 1710 1610 39.7% 26.0% 34.3% +4.5 41
2017-08-13 Lillestrom W 3-1 1552 1522 52.2% 24.1% 23.6% +5.7 25
2017-08-13 @ Stromsgodset L 1-3 1522 1552 23.6% 24.1% 52.2% -5.7 23
2017-08-13 Odds W 2-0 1597 1554 53.9% 23.7% 22.4% +6.3 31
2017-08-13 @ Brann L 0-2 1554 1597 22.4% 23.7% 53.9% -6.3 25
2017-08-13 Sarpsborg 08 D 2-2 1464 1565 34.1% 26.0% 39.9% +0.1 19
2017-08-13 @ Kristiansund D 2-2 1565 1464 39.9% 26.0% 34.1% -0.1 34
2017-08-13 Stabaek D 2-2 1545 1500 54.1% 23.6% 22.3% -0.7 26
2017-08-13 @ Haugesund D 2-2 1500 1545 22.3% 23.6% 54.1% +0.7 26
2017-08-13 Viking D 1-1 1517 1502 50.3% 24.6% 25.1% -0.7 24
2017-08-13 @ Aalesund D 1-1 1502 1517 25.1% 24.6% 50.3% +0.7 15
2017-08-14 Tromso D 0-0 1556 1453 61.2% 21.2% 17.6% -1.4 24
2017-08-14 @ Valerenga D 0-0 1453 1556 17.6% 21.2% 61.2% +1.4 15
2017-08-19 Valerenga W 2-1 1516 1555 43.0% 25.8% 31.3% +4.2 26
2017-08-19 @ Lillestrom L 1-2 1555 1516 31.3% 25.8% 43.0% -4.2 24
2017-08-20 Aalesund W 3-2 1455 1516 39.7% 26.0% 34.3% +4.3 18
2017-08-20 @ Tromso L 2-3 1516 1455 34.3% 26.0% 39.7% -4.3 24
2017-08-20 Brann L 2-4 1503 1603 34.3% 26.0% 39.7% -7.0 15
2017-08-20 @ Viking W 4-2 1603 1503 39.7% 26.0% 34.3% +7.0 34
2017-08-20 Haugesund L 0-1 1714 1544 68.6% 17.9% 13.5% -8.2 41
2017-08-20 @ Rosenborg W 1-0 1544 1714 13.5% 17.9% 68.6% +8.2 29
2017-08-20 Kristiansund W 2-0 1494 1464 52.2% 24.1% 23.6% +6.6 23
2017-08-20 @ Sogndal L 0-2 1464 1494 23.6% 24.1% 52.2% -6.6 19
2017-08-20 Molde W 3-2 1501 1605 33.7% 26.0% 40.4% +4.9 29
2017-08-20 @ Stabaek L 2-3 1605 1501 40.4% 26.0% 33.7% -4.9 31
2017-08-20 Sandefjord W 1-0 1548 1490 55.8% 23.1% 21.1% +3.2 28
2017-08-20 @ Odds L 0-1 1490 1548 21.1% 23.1% 55.8% -3.2 27
2017-08-21 Stromsgodset D 0-0 1565 1557 49.4% 24.8% 25.8% -0.7 35
2017-08-21 @ Sarpsborg 08 D 0-0 1557 1565 25.8% 24.8% 49.4% +0.7 26
2017-09-09 Sogndal W 2-1 1610 1500 62.0% 20.9% 17.2% +2.4 37
2017-09-09 @ Brann L 1-2 1500 1610 17.2% 20.9% 62.0% -2.4 23
2017-09-10 Lillestrom D 1-1 1552 1520 52.5% 24.1% 23.4% -0.8 30
2017-09-10 @ Haugesund D 1-1 1520 1552 23.4% 24.1% 52.5% +0.8 27
2017-09-10 Rosenborg L 0-2 1558 1706 28.3% 25.4% 46.4% -7.8 26
2017-09-10 @ Stromsgodset W 2-0 1706 1558 46.4% 25.4% 28.3% +7.8 44
2017-09-10 Sarpsborg 08 L 1-2 1551 1565 46.4% 25.3% 28.2% -5.7 24
2017-09-10 @ Valerenga W 2-1 1565 1551 28.2% 25.3% 46.4% +5.7 38
2017-09-10 Stabaek D 1-1 1512 1505 49.2% 24.8% 26.0% -0.7 25
2017-09-10 @ Aalesund D 1-1 1505 1512 26.0% 24.8% 49.2% +0.6 30
2017-09-10 Tromso W 4-1 1457 1459 48.0% 25.1% 26.9% +9.1 22
2017-09-10 @ Kristiansund L 1-4 1459 1457 26.9% 25.1% 48.0% -9.1 18
2017-09-10 Viking W 3-1 1487 1496 47.0% 25.2% 27.7% +6.6 30
2017-09-10 @ Sandefjord L 1-3 1496 1487 27.7% 25.2% 47.0% -6.6 15
2017-09-11 Odds W 2-1 1600 1551 54.7% 23.4% 21.8% +3.1 34
2017-09-11 @ Molde L 1-2 1551 1600 21.8% 23.4% 54.7% -3.1 28
2017-09-16 Stromsgodset L 0-2 1506 1550 42.2% 25.9% 31.9% -10.6 30
2017-09-16 @ Stabaek W 2-0 1550 1506 31.9% 25.9% 42.2% +10.6 29
2017-09-17 Brann L 0-1 1493 1612 31.8% 25.8% 42.4% -4.5 30
2017-09-17 @ Sandefjord W 1-0 1612 1493 42.4% 25.8% 31.8% +4.5 40
2017-09-17 Haugesund L 0-1 1498 1551 40.9% 25.9% 33.2% -5.5 23
2017-09-17 @ Sogndal W 1-0 1551 1498 33.2% 25.9% 40.9% +5.5 33
2017-09-17 Kristiansund D 0-0 1521 1466 55.4% 23.2% 21.4% -1.1 28
2017-09-17 @ Lillestrom D 0-0 1466 1521 21.4% 23.2% 55.4% +1.1 23
2017-09-17 Molde L 2-3 1489 1604 32.4% 25.9% 41.7% -4.1 15
2017-09-17 @ Viking W 3-2 1604 1489 41.7% 25.9% 32.4% +4.1 37
2017-09-17 Sarpsborg 08 W 5-0 1450 1570 31.6% 25.8% 42.6% +25.0 21
2017-09-17 @ Tromso L 0-5 1570 1450 42.6% 25.8% 31.6% -25.0 38
2017-09-17 Valerenga W 3-0 1714 1545 68.4% 18.0% 13.6% +5.3 47
2017-09-17 @ Rosenborg L 0-3 1545 1714 13.6% 18.0% 68.4% -5.3 24
2017-09-18 Aalesund W 3-2 1548 1511 53.0% 23.9% 23.0% +3.1 31
2017-09-18 @ Odds L 2-3 1511 1548 23.0% 23.9% 53.0% -3.1 25
2017-09-21 Odds D 2-2 1475 1551 37.7% 26.1% 36.2% -0.0 22
2017-09-21 @ Tromso D 2-2 1551 1475 36.2% 26.1% 37.7% +0.0 32
2017-09-23 Viking W 2-1 1557 1485 57.5% 22.6% 20.0% +2.8 36
2017-09-23 @ Haugesund L 1-2 1485 1557 20.0% 22.6% 57.5% -2.8 15
2017-09-24 Brann W 2-1 1540 1617 37.5% 26.1% 36.4% +4.7 27
2017-09-24 @ Valerenga L 1-2 1617 1540 36.4% 26.1% 37.5% -4.8 40
2017-09-24 Rosenborg L 0-3 1520 1719 22.9% 23.9% 53.1% -9.4 28
2017-09-24 @ Lillestrom W 3-0 1719 1520 53.1% 23.9% 22.9% +9.4 50
2017-09-24 Sandefjord W 3-1 1608 1489 63.0% 20.4% 16.6% +4.0 40
2017-09-24 @ Molde L 1-3 1489 1608 16.6% 20.4% 63.0% -4.0 30
2017-09-24 Sogndal L 0-1 1508 1492 50.4% 24.6% 25.0% -6.5 25
2017-09-24 @ Aalesund W 1-0 1492 1508 25.0% 24.6% 50.4% +6.5 26
2017-09-24 Stabaek W 1-0 1467 1496 44.4% 25.6% 29.9% +4.3 26
2017-09-24 @ Kristiansund L 0-1 1496 1467 29.9% 25.6% 44.4% -4.3 30
2017-09-24 Tromso W 2-1 1561 1475 59.2% 21.9% 18.9% +2.7 32
2017-09-24 @ Stromsgodset L 1-2 1475 1561 18.9% 21.9% 59.2% -2.6 22
2017-09-25 Odds W 2-1 1545 1551 47.5% 25.1% 27.3% +3.8 41
2017-09-25 @ Sarpsborg 08 L 1-2 1551 1545 27.3% 25.1% 47.5% -3.8 32
2017-09-29 Kristiansund L 0-4 1612 1472 65.4% 19.4% 15.2% -28.5 40
2017-09-29 @ Brann W 4-0 1472 1612 15.2% 19.4% 65.4% +28.5 29
2017-09-30 Valerenga W 4-2 1491 1544 40.9% 25.9% 33.1% +6.8 33
2017-09-30 @ Stabaek L 2-4 1544 1491 33.1% 25.9% 40.9% -6.8 27
2017-10-01 Aalesund W 2-0 1485 1502 46.0% 25.4% 28.6% +7.8 33
2017-10-01 @ Sandefjord L 0-2 1502 1485 28.6% 25.4% 46.0% -7.9 25
2017-10-01 Haugesund W 1-0 1547 1560 46.6% 25.3% 28.1% +4.1 35
2017-10-01 @ Odds L 0-1 1560 1547 28.1% 25.3% 46.6% -4.1 36
2017-10-01 Lillestrom W 2-1 1472 1511 43.0% 25.8% 31.2% +4.2 25
2017-10-01 @ Tromso L 1-2 1511 1472 31.2% 25.8% 43.0% -4.2 28
2017-10-01 Molde D 2-2 1499 1612 32.6% 25.9% 41.5% +0.2 27
2017-10-01 @ Sogndal D 2-2 1612 1499 41.5% 25.9% 32.6% -0.2 41
2017-10-01 Sarpsborg 08 D 1-1 1729 1549 69.5% 17.4% 13.1% -1.7 51
2017-10-01 @ Rosenborg D 1-1 1549 1729 13.1% 17.4% 69.5% +1.7 42
2017-10-01 Stromsgodset L 0-1 1482 1564 36.9% 26.1% 37.0% -5.1 15
2017-10-01 @ Viking W 1-0 1564 1482 37.0% 26.1% 36.9% +5.1 35
2017-10-12 Haugesund W 3-0 1538 1556 45.8% 25.4% 28.7% +11.4 30
2017-10-12 @ Valerenga L 0-3 1556 1538 28.7% 25.4% 45.8% -11.4 36
2017-10-14 Odds W 1-0 1569 1551 50.6% 24.5% 24.9% +3.7 38
2017-10-14 @ Stromsgodset L 0-1 1551 1569 24.9% 24.5% 50.6% -3.7 35
2017-10-14 Rosenborg L 0-3 1476 1727 18.7% 21.9% 59.5% -7.6 25
2017-10-14 @ Tromso W 3-0 1727 1476 59.5% 21.9% 18.7% +7.6 54
2017-10-15 Aalesund W 5-1 1549 1494 55.4% 23.2% 21.4% +9.5 33
2017-10-15 @ Valerenga L 1-5 1494 1549 21.4% 23.2% 55.4% -9.5 25
2017-10-15 Brann W 1-0 1611 1584 51.9% 24.2% 23.8% +3.5 44
2017-10-15 @ Molde L 0-1 1584 1611 23.8% 24.2% 51.9% -3.5 40
2017-10-15 Sandefjord W 2-0 1544 1493 55.0% 23.4% 21.6% +6.1 39
2017-10-15 @ Haugesund L 0-2 1493 1544 21.6% 23.4% 55.0% -6.1 33
2017-10-15 Sogndal W 1-0 1506 1499 49.3% 24.8% 25.9% +3.8 31
2017-10-15 @ Lillestrom L 0-1 1499 1506 25.9% 24.8% 49.3% -3.8 27
2017-10-15 Viking L 0-2 1500 1477 51.3% 24.4% 24.3% -12.4 29
2017-10-15 @ Kristiansund W 2-0 1477 1500 24.3% 24.4% 51.3% +12.4 18
2017-10-16 Stabaek D 2-2 1551 1498 55.1% 23.3% 21.6% -0.7 43
2017-10-16 @ Sarpsborg 08 D 2-2 1498 1551 21.6% 23.3% 55.1% +0.7 34
2017-10-21 Kristiansund D 1-1 1485 1488 47.9% 25.1% 27.0% -0.6 26
2017-10-21 @ Aalesund D 1-1 1488 1485 27.0% 25.1% 47.9% +0.6 30
2017-10-22 Haugesund W 1-0 1615 1550 56.6% 22.9% 20.5% +3.1 47
2017-10-22 @ Molde L 0-1 1550 1615 20.5% 22.9% 56.6% -3.1 39
2017-10-22 Rosenborg L 0-3 1580 1734 27.6% 25.2% 47.2% -11.0 40
2017-10-22 @ Brann W 3-0 1734 1580 47.2% 25.2% 27.6% +11.0 57
2017-10-22 Sarpsborg 08 D 3-3 1495 1550 40.7% 26.0% 33.3% -0.1 28
2017-10-22 @ Sogndal D 3-3 1550 1495 33.3% 26.0% 40.7% +0.1 44
2017-10-22 Stromsgodset L 1-2 1486 1572 36.3% 26.1% 37.6% -4.7 33
2017-10-22 @ Sandefjord W 2-1 1572 1486 37.6% 26.1% 36.3% +4.7 41
2017-10-22 Tromso L 1-2 1499 1469 52.2% 24.1% 23.6% -6.3 34
2017-10-22 @ Stabaek W 2-1 1469 1499 23.6% 24.1% 52.2% +6.3 28
2017-10-22 Valerenga L 1-7 1490 1559 38.7% 26.1% 35.2% -22.8 18
2017-10-22 @ Viking W 7-1 1559 1490 35.2% 26.1% 38.7% +22.8 36
2017-10-23 Lillestrom W 1-0 1547 1510 53.2% 23.9% 22.9% +3.4 38
2017-10-23 @ Odds L 0-1 1510 1547 22.9% 23.9% 53.2% -3.4 31
2017-10-28 Brann L 2-3 1547 1569 45.3% 25.5% 29.2% -5.3 39
2017-10-28 @ Haugesund W 3-2 1569 1547 29.2% 25.5% 45.3% +5.3 43
2017-10-29 Molde L 1-2 1581 1618 43.2% 25.8% 31.0% -5.4 36
2017-10-29 @ Valerenga W 2-1 1618 1581 31.0% 25.8% 43.2% +5.4 50
2017-10-29 Odds D 2-2 1488 1551 39.6% 26.0% 34.4% -0.1 31
2017-10-29 @ Kristiansund D 2-2 1551 1488 34.4% 26.0% 39.6% +0.1 39
2017-10-29 Sandefjord W 5-0 1550 1482 57.1% 22.7% 20.2% +13.3 47
2017-10-29 @ Sarpsborg 08 L 0-5 1482 1550 20.2% 22.7% 57.1% -13.3 33
2017-10-29 Sogndal W 4-1 1577 1495 58.7% 22.1% 19.2% +6.6 44
2017-10-29 @ Stromsgodset L 1-4 1495 1577 19.2% 22.1% 58.7% -6.6 28
2017-10-29 Stabaek D 0-0 1746 1492 76.5% 13.8% 9.7% -2.2 58
2017-10-29 @ Rosenborg D 0-0 1492 1746 9.7% 13.8% 76.5% +2.2 35
2017-10-29 Viking W 3-0 1475 1467 49.4% 24.8% 25.8% +10.4 31
2017-10-29 @ Tromso L 0-3 1467 1475 25.8% 24.8% 49.4% -10.4 18
2017-10-30 Aalesund W 4-0 1507 1484 51.3% 24.4% 24.3% +12.9 34
2017-10-30 @ Lillestrom L 0-4 1484 1507 24.3% 24.4% 51.3% -12.9 26
2017-11-03 Valerenga W 2-0 1468 1576 33.3% 26.0% 40.7% +10.3 36
2017-11-03 @ Sandefjord L 0-2 1576 1468 40.7% 26.0% 33.3% -10.3 36
2017-11-04 Kristiansund L 0-1 1623 1488 64.8% 19.6% 15.5% -7.9 50
2017-11-04 @ Molde W 1-0 1488 1623 15.5% 19.6% 64.8% +7.9 34
2017-11-05 Lillestrom W 2-0 1575 1520 55.4% 23.2% 21.4% +6.0 46
2017-11-05 @ Brann L 0-2 1520 1575 21.4% 23.2% 55.4% -6.0 34
2017-11-05 Rosenborg W 2-1 1471 1743 17.2% 20.8% 62.0% +7.2 29
2017-11-05 @ Aalesund L 1-2 1743 1471 62.0% 20.8% 17.2% -7.2 58
2017-11-05 Sarpsborg 08 W 2-1 1456 1564 33.4% 26.0% 40.7% +5.2 21
2017-11-05 @ Viking L 1-2 1564 1456 40.7% 26.0% 33.4% -5.2 47
2017-11-05 Stabaek L 0-5 1551 1495 55.6% 23.2% 21.2% -30.9 39
2017-11-05 @ Odds W 5-0 1495 1551 21.2% 23.2% 55.6% +30.9 38
2017-11-05 Stromsgodset L 1-3 1542 1584 42.6% 25.8% 31.6% -9.2 39
2017-11-05 @ Haugesund W 3-1 1584 1542 31.6% 25.8% 42.6% +9.2 47
2017-11-05 Tromso L 0-2 1488 1485 48.7% 24.9% 26.4% -11.9 28
2017-11-05 @ Sogndal W 2-0 1485 1488 26.4% 24.9% 48.7% +11.9 34
2017-11-19 Aalesund W 1-0 1558 1478 58.5% 22.2% 19.3% +2.9 50
2017-11-19 @ Sarpsborg 08 L 0-1 1478 1558 19.3% 22.2% 58.5% -2.9 29
2017-11-19 Brann W 2-1 1593 1581 49.9% 24.7% 25.4% +3.5 50
2017-11-19 @ Stromsgodset L 1-2 1581 1593 25.4% 24.7% 49.9% -3.5 46
2017-11-19 Haugesund W 2-0 1497 1533 43.5% 25.7% 30.8% +8.3 37
2017-11-19 @ Tromso L 0-2 1533 1497 30.8% 25.7% 43.5% -8.3 39
2017-11-19 Molde L 0-1 1514 1616 34.0% 26.0% 40.0% -4.8 34
2017-11-19 @ Lillestrom W 1-0 1616 1514 40.0% 26.0% 34.0% +4.8 53
2017-11-19 Odds W 2-0 1566 1520 54.2% 23.6% 22.2% +6.2 39
2017-11-19 @ Valerenga L 0-2 1520 1566 22.2% 23.6% 54.2% -6.2 39
2017-11-19 Sandefjord W 3-2 1496 1479 50.6% 24.5% 24.9% +3.3 37
2017-11-19 @ Kristiansund L 2-3 1479 1496 24.9% 24.5% 50.6% -3.3 36
2017-11-19 Sogndal D 1-1 1526 1477 54.7% 23.5% 21.9% -0.9 39
2017-11-19 @ Stabaek D 1-1 1477 1526 21.9% 23.5% 54.7% +0.9 29
2017-11-19 Viking W 2-0 1736 1462 78.4% 12.8% 8.8% +2.2 61
2017-11-19 @ Rosenborg L 0-2 1462 1736 8.8% 12.8% 78.4% -2.2 21
2017-11-26 Kristiansund L 2-3 1524 1499 51.6% 24.3% 24.1% -5.9 39
2017-11-26 @ Haugesund W 3-2 1499 1524 24.1% 24.3% 51.6% +5.9 40
2017-11-26 Lillestrom L 1-3 1475 1509 43.7% 25.7% 30.6% -9.4 36
2017-11-26 @ Sandefjord W 3-1 1509 1475 30.6% 25.7% 43.7% +9.4 37
2017-11-26 Rosenborg W 1-0 1514 1738 20.7% 22.9% 56.3% +7.1 42
2017-11-26 @ Odds L 0-1 1738 1514 56.3% 22.9% 20.7% -7.1 61
2017-11-26 Sarpsborg 08 D 2-2 1620 1561 55.9% 23.1% 21.0% -0.8 54
2017-11-26 @ Molde D 2-2 1561 1620 21.0% 23.1% 55.9% +0.8 51
2017-11-26 Stabaek W 2-0 1459 1525 39.2% 26.0% 34.7% +9.2 24
2017-11-26 @ Viking L 0-2 1525 1459 34.7% 26.0% 39.2% -9.2 39
2017-11-26 Stromsgodset W 4-3 1475 1596 31.5% 25.8% 42.6% +4.9 32
2017-11-26 @ Aalesund L 3-4 1596 1475 42.6% 25.8% 31.5% -5.0 50
2017-11-26 Tromso D 2-2 1577 1506 57.4% 22.6% 20.0% -0.8 47
2017-11-26 @ Brann D 2-2 1506 1577 20.0% 22.6% 57.4% +0.8 38
2017-11-26 Valerenga W 5-2 1477 1572 35.1% 26.1% 38.9% +10.6 32
2017-11-26 @ Sogndal L 2-5 1572 1477 38.9% 26.1% 35.1% -10.6 39

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
2017-11-29 Ranheim W 1-0 1488 1383 61.4% 21.1% 17.5% +2.6 1-0
2017-11-29 @ Sogndal L 0-1 1383 1488 17.5% 21.1% 61.4% -2.6 0-1
2017-12-02 Sogndal W 5-4 1380 1491 32.9% 25.9% 41.1% +4.8 1-1
2017-12-02 @ Ranheim L 4-5 1491 1380 41.1% 25.9% 32.9% -4.8 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 2017-05-16 11.56% Tromso 1491 2 @ Rosenborg 1701 1
2 2017-08-20 13.53% Haugesund 1544 1 @ Rosenborg 1714 0
3 2017-09-29 15.21% Kristiansund 1472 4 @ Brann 1612 0
4 2017-11-04 15.53% Kristiansund 1488 1 @ Molde 1623 0
5 2017-11-05 17.15% @ Aalesund 1471 2 Rosenborg 1743 1
6 2017-04-09 17.17% Sandefjord 1454 2 @ Valerenga 1564 1
7 2017-05-16 19.56% Sogndal 1505 2 @ Molde 1582 1
8 2017-05-06 19.60% Aalesund 1522 1 @ Molde 1599 0
9 2017-07-16 19.66% Viking 1489 2 @ Odds 1565 0
10 2017-05-07 20.57% Sandefjord 1466 2 @ Viking 1531 0
11 2017-11-26 20.74% @ Odds 1514 1 Rosenborg 1738 0
12 2017-11-05 21.25% Stabaek 1495 5 @ Odds 1551 0
13 2017-06-25 21.26% Kristiansund 1454 4 @ Stabaek 1510 1
14 2017-07-16 21.91% Sarpsborg 08 1555 1 @ Brann 1604 0
15 2017-04-06 22.82% Tromso 1499 2 @ Viking 1537 1
16 2017-08-06 23.05% Sandefjord 1475 3 @ Stabaek 1511 1
17 2017-10-22 23.62% Tromso 1469 2 @ Stabaek 1499 1
18 2017-06-03 23.85% Lillestrom 1505 4 @ Stabaek 1533 2
19 2017-11-26 24.11% Kristiansund 1499 3 @ Haugesund 1524 2
20 2017-10-15 24.32% Viking 1477 2 @ Kristiansund 1500 0
21 2017-04-30 24.71% Haugesund 1531 3 @ Stabaek 1550 0
22 2017-05-16 24.87% Stabaek 1533 2 @ Stromsgodset 1551 1
23 2017-09-24 24.99% Sogndal 1492 1 @ Aalesund 1508 0
24 2017-06-04 25.22% Haugesund 1522 1 @ Aalesund 1536 0
25 2017-05-21 25.55% Molde 1575 2 @ Odds 1586 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 2017-11-05 30.87 Stabaek 5 1495 21.25% @ Odds 0 1551 55.57% 23.18%
2 2017-09-29 28.47 Kristiansund 4 1472 15.21% @ Brann 0 1612 65.42% 19.37%
3 2017-09-17 24.97 @ Tromso 5 1450 31.61% Sarpsborg 08 0 1570 42.57% 25.82%
4 2017-10-22 22.75 Valerenga 7 1559 35.25% @ Viking 1 1490 38.70% 26.05%
5 2017-04-30 17.84 Haugesund 3 1531 24.71% @ Stabaek 0 1550 50.81% 24.49%
6 2017-04-23 16.36 Stabaek 3 1533 28.96% @ Tromso 0 1513 45.57% 25.47%
7 2017-06-25 16.17 Kristiansund 4 1454 21.26% @ Stabaek 1 1510 55.55% 23.19%
8 2017-05-13 15.44 @ Sogndal 4 1489 44.50% Viking 0 1517 29.89% 25.61%
9 2017-07-08 15.06 Molde 3 1592 33.07% @ Aalesund 0 1539 40.98% 25.94%
10 2017-06-25 13.79 @ Aalesund 5 1530 41.51% Odds 1 1579 32.59% 25.91%
11 2017-07-16 13.65 Viking 2 1489 19.66% @ Odds 0 1565 57.94% 22.40%
12 2017-05-07 13.39 Sandefjord 2 1466 20.57% @ Viking 0 1531 56.56% 22.87%
13 2017-10-29 13.34 @ Sarpsborg 08 5 1550 57.07% Sandefjord 0 1482 20.24% 22.70%
14 2017-10-30 12.92 @ Lillestrom 4 1507 51.30% Aalesund 0 1484 24.33% 24.37%
15 2017-04-23 12.88 @ Viking 3 1517 40.73% Odds 0 1572 33.31% 25.96%
16 2017-06-19 12.77 @ Brann 5 1602 58.35% Stabaek 0 1523 19.40% 22.25%
17 2017-04-17 12.62 @ Molde 4 1586 52.14% Valerenga 0 1557 23.70% 24.16%
18 2017-10-15 12.39 Viking 2 1477 24.32% @ Kristiansund 0 1500 51.32% 24.37%
19 2017-11-05 11.88 Tromso 2 1485 26.37% @ Sogndal 0 1488 48.69% 24.94%
20 2017-04-09 11.87 Haugesund 2 1525 26.40% @ Lillestrom 0 1527 48.65% 24.95%
21 2017-04-17 11.85 @ Stabaek 3 1521 44.39% Sarpsborg 08 0 1550 29.99% 25.63%
22 2017-05-16 11.82 @ Brann 5 1587 60.55% Sandefjord 0 1489 18.02% 21.43%
23 2017-04-06 11.53 @ Brann 3 1558 45.51% Stromsgodset 0 1579 29.01% 25.48%
24 2017-10-12 11.44 @ Valerenga 3 1538 45.84% Haugesund 0 1556 28.73% 25.43%
25 2017-04-09 11.12 @ Tromso 3 1505 46.97% Sogndal 0 1515 27.78% 25.25%