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2015 Tippeligaen Season

240 games

Final

Champion

Rosenborg

69 points

Relegated

No relegation

Biggest Overachiever

Stromsgodset

10.56 points above expected

57 points · 46.44 expected points

Biggest Disappointment

Sandefjord

14.93 points below expected

16 points · 30.93 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 21 6 3 69 73 27 +46 61.70 +7.30
2 Stromsgodset 30 17 6 7 57 67 44 +23 46.44 +10.56
3 Stabaek 30 17 5 8 56 54 43 +11 45.96 +10.04
4 Odds 30 15 10 5 55 61 41 +20 50.85 +4.15
5 Viking 30 17 2 11 53 53 39 +14 45.82 +7.18
6 Molde 30 15 7 8 52 62 31 +31 55.82 -3.82
7 Valerenga 30 14 7 9 49 49 41 +8 44.73 +4.27
8 Lillestrom 30 12 9 9 45 45 43 +2 43.00 +2.00
9 Bodo Glimt 30 12 4 14 40 53 56 -3 32.71 +7.29
10 Aalesund 30 11 5 14 38 42 57 -15 36.89 +1.11
11 Sarpsborg 08 30 8 10 12 34 37 49 -12 36.90 -2.90
12 Haugesund 30 8 7 15 31 33 52 -19 34.75 -3.75
13 Tromso 30 7 8 15 29 36 50 -14 35.01 -6.01
14 Start 30 5 7 18 22 35 64 -29 33.10 -11.10
15 Mjondalen 30 4 9 17 21 38 69 -31 31.14 -10.14
16 Sandefjord 30 4 4 22 16 36 68 -32 30.93 -14.93

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 1747 69 61.70 +7.30 87.8% 35 51 57 62 66 72 83
Molde 1659 52 55.82 -3.82 30.8% 27 44 51 56 60 67 78
Odds 1644 55 50.85 +4.15 74.2% 23 39 46 51 56 62 75
Stromsgodset 1642 57 46.44 +10.56 93.9% 20 35 42 46 51 58 71
Viking 1564 53 45.82 +7.18 86.5% 16 34 41 46 51 57 72
Valerenga 1524 49 44.73 +4.27 75.2% 21 33 40 45 49 56 70
Lillestrom 1522 45 43.00 +2.00 58.3% 20 32 38 43 48 54 67
Stabaek 1513 56 45.96 +10.04 93.9% 21 35 41 46 51 57 72
Bodo Glimt 1476 40 32.71 +7.29 87.9% 10 22 28 33 37 44 59
Aalesund 1462 38 36.89 +1.11 59.7% 12 26 32 37 42 48 64
Tromso 1424 29 35.01 -6.01 20.9% 10 24 30 35 40 47 60
Sarpsborg 08 1420 34 36.90 -2.90 36.5% 13 26 32 37 41 48 62
Haugesund 1389 31 34.75 -3.75 32.1% 11 24 30 35 39 46 60
Sandefjord 1337 16 30.93 -14.93 1.1% 8 20 26 31 35 42 58
Start 1334 22 33.10 -11.10 5.1% 10 22 29 33 37 44 57
Mjondalen 1309 21 31.14 -10.14 7.1% 6 20 27 31 36 42 64

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 BG HAU LIL MJO MOL ODD ROS SAN S0 STA STA STR TRO VAL VIK
Aalesund —
1-0-1
3.05
1-0-1
2.84
0-1-1
2.50
2-0-0
3.49
0-0-2
1.73
0-1-1
1.70
0-0-2
1.60
2-0-0
3.12
0-1-1
2.72
1-1-0
1.84
1-0-1
2.69
1-0-1
2.17
0-1-1
2.95
2-0-0
2.04
0-0-2
2.35
Bodo Glimt
1-0-1
2.49
 —
1-0-1
2.72
0-0-2
2.14
2-0-0
2.62
1-0-1
1.48
0-0-2
1.72
1-1-0
1.03
1-0-1
3.02
1-1-0
2.62
1-0-1
1.79
1-1-0
2.49
0-0-2
1.86
1-0-1
2.75
1-1-0
2.13
0-0-2
1.84
Haugesund
1-0-1
2.69
1-0-1
2.82
 —
0-1-1
1.97
0-1-1
3.28
1-1-0
1.37
0-1-1
1.55
0-0-2
1.46
2-0-0
2.92
0-1-1
2.50
0-2-0
2.43
1-0-1
3.03
1-0-1
1.93
0-0-2
2.63
0-0-2
2.08
1-0-1
2.06
Lillestrom
1-1-0
3.04
2-0-0
3.41
1-1-0
3.58
 —
2-0-0
3.39
1-1-0
1.82
0-1-1
2.41
0-0-2
1.56
1-1-0
3.87
2-0-0
3.20
0-0-2
2.72
0-2-0
3.60
0-0-2
3.06
1-1-0
3.29
0-1-1
2.65
1-0-1
2.48
Mjondalen
0-0-2
2.05
0-0-2
2.92
1-1-0
2.26
0-0-2
2.17
 —
0-0-2
1.31
0-1-1
1.68
1-0-1
1.05
0-1-1
2.83
0-2-0
2.10
0-0-2
1.66
0-2-0
2.72
0-1-1
1.83
1-1-0
2.54
0-0-2
1.99
1-0-1
1.98
Molde
2-0-0
3.83
1-0-1
4.10
0-1-1
4.22
0-1-1
3.74
2-0-0
4.29
 —
0-1-1
3.18
1-1-0
2.01
2-0-0
4.41
1-1-0
3.95
0-1-1
3.24
2-0-0
4.37
1-0-1
3.30
1-0-1
4.28
1-1-0
3.31
1-0-1
3.63
Odds
1-1-0
3.86
2-0-0
3.83
1-1-0
4.01
1-1-0
3.13
1-1-0
3.88
1-1-0
2.36
 —
0-0-2
1.95
2-0-0
4.21
0-1-1
3.80
2-0-0
3.19
1-1-0
3.78
1-0-1
2.86
1-1-0
3.64
0-1-1
3.29
1-1-0
3.08
Rosenborg
2-0-0
3.97
0-1-1
4.59
2-0-0
4.15
2-0-0
4.00
1-0-1
4.59
0-1-1
3.53
2-0-0
3.60
 —
2-0-0
4.57
2-0-0
4.25
2-0-0
3.81
2-0-0
4.59
0-2-0
3.64
0-2-0
4.65
2-0-0
3.86
2-0-0
3.88
Sandefjord
0-0-2
2.43
1-0-1
2.54
0-0-2
2.61
0-1-1
1.69
1-1-0
2.70
0-0-2
1.19
0-0-2
1.38
0-0-2
1.05
 —
1-0-1
2.56
0-0-2
1.72
1-0-1
2.85
0-0-2
1.70
0-2-0
2.31
0-0-2
1.86
0-0-2
2.27
Sarpsborg 08
1-1-0
2.81
0-1-1
2.93
1-1-0
3.04
0-0-2
2.35
0-2-0
3.45
0-1-1
1.62
1-1-0
1.77
0-0-2
1.34
1-0-1
2.98
 —
0-1-1
2.31
2-0-0
3.23
0-1-1
2.06
2-0-0
2.74
0-1-1
2.34
0-0-2
2.05
Stabaek
0-1-1
3.72
1-0-1
3.77
0-2-0
3.11
2-0-0
2.84
2-0-0
3.90
1-1-0
2.31
0-0-2
2.36
0-0-2
1.75
2-0-0
3.84
1-1-0
3.23
 —
1-0-1
3.85
2-0-0
2.78
2-0-0
3.29
2-0-0
2.57
1-0-1
2.56
Start
1-0-1
2.84
0-1-1
3.05
1-0-1
2.51
0-2-0
1.95
0-2-0
2.81
0-0-2
1.23
0-1-1
1.77
0-0-2
1.03
1-0-1
2.68
0-0-2
2.31
1-0-1
1.73
 —
0-0-2
2.08
1-0-1
2.87
0-1-1
2.05
0-0-2
2.27
Stromsgodset
1-0-1
3.37
2-0-0
3.69
1-0-1
3.63
2-0-0
2.47
1-1-0
3.72
1-0-1
2.25
1-0-1
2.68
0-2-0
1.92
2-0-0
3.87
1-1-0
3.48
0-0-2
2.76
2-0-0
3.48
 —
2-0-0
3.32
0-1-1
3.29
1-1-0
2.53
Tromso
1-1-0
2.59
1-0-1
2.79
2-0-0
2.90
0-1-1
2.25
0-1-1
3.00
1-0-1
1.31
0-1-1
1.91
0-2-0
0.98
0-2-0
3.23
0-0-2
2.80
0-0-2
2.27
1-0-1
2.66
0-0-2
2.22
 —
0-0-2
2.07
1-0-1
1.98
Valerenga
0-0-2
3.51
0-1-1
3.43
2-0-0
3.47
1-1-0
2.88
2-0-0
3.56
0-1-1
2.23
1-1-0
2.24
0-0-2
1.71
2-0-0
3.70
1-1-0
3.20
0-0-2
2.97
1-1-0
3.50
1-1-0
2.26
2-0-0
3.48
 —
1-0-1
2.47
Viking
2-0-0
3.20
2-0-0
3.71
1-0-1
3.49
1-0-1
3.07
1-0-1
3.60
1-0-1
1.92
0-1-1
2.46
0-0-2
1.68
2-0-0
3.30
2-0-0
3.49
1-0-1
2.98
2-0-0
3.27
0-1-1
3.00
1-0-1
3.57
1-0-1
3.07
 —

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 0.82 +11.0
Allowed 0.82 -11.3
Differential 0.93 +6.3

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
03.33%6.25%5.42%2.29%1.46%1.25%20.00%
16.25%12.50%7.92%5.21%2.08%1.46%35.42%
25.42%7.92%4.58%2.50%1.67%—22.08%
32.29%5.21%2.50%1.67%0.83%0.42%12.92%
41.46%2.08%1.67%0.83%—0.21%6.25%
5+1.25%1.46%—0.42%0.21%—3.33%
Total20.00%35.42%22.08%12.92%6.25%3.33%100%

Summary Statistics

Scored Allowed Difference
Mean 1.61 1.61 +0.00
SD 1.33 1.33 1.99
CV 0.83 0.83 —
Max 6 6 +6
Min 0 0 -6

Games Played: 240

↓ Scored | Allowed →012345+Total
0—6.67%3.33%—3.33%3.33%16.67%
1—13.33%3.33%20.00%3.33%3.33%43.33%
210.00%16.67%3.33%———30.00%
3—3.33%————3.33%
4—3.33%3.33%———6.67%
5+———————
Total10.00%43.33%13.33%20.00%6.67%6.67%100%

Summary Statistics

Scored Allowed Difference
Mean 1.40 1.90 -0.50
SD 1.04 1.40 2.06
CV 0.74 0.74 —
Max 4 5 +3
Min 0 0 -5

Games Played: 30

↓ Scored | Allowed →012345+Total
0——3.33%10.00%——13.33%
110.00%10.00%10.00%13.33%——43.33%
2—13.33%3.33%3.33%3.33%—23.33%
3—3.33%———3.33%6.67%
4——3.33%———3.33%
5+—10.00%————10.00%
Total10.00%36.67%20.00%26.67%3.33%3.33%100%

Summary Statistics

Scored Allowed Difference
Mean 1.77 1.87 -0.10
SD 1.52 1.22 2.12
CV 0.86 0.66 —
Max 6 5 +5
Min 0 0 -3

Games Played: 30

↓ Scored | Allowed →012345+Total
06.67%6.67%16.67%3.33%—6.67%40.00%
110.00%10.00%10.00%———30.00%
2—6.67%3.33%—3.33%—13.33%
3—6.67%—3.33%3.33%—13.33%
43.33%—————3.33%
5+———————
Total20.00%30.00%30.00%6.67%6.67%6.67%100%

Summary Statistics

Scored Allowed Difference
Mean 1.10 1.73 -0.63
SD 1.18 1.51 2.01
CV 1.08 0.87 —
Max 4 6 +4
Min 0 0 -6

Games Played: 30

↓ Scored | Allowed →012345+Total
06.67%3.33%10.00%3.33%—6.67%30.00%
13.33%16.67%3.33%———23.33%
23.33%6.67%3.33%3.33%——16.67%
310.00%10.00%3.33%3.33%——26.67%
4—3.33%————3.33%
5+———————
Total23.33%40.00%20.00%10.00%—6.67%100%

Summary Statistics

Scored Allowed Difference
Mean 1.50 1.43 +0.07
SD 1.28 1.33 2.12
CV 0.85 0.93 —
Max 4 5 +3
Min 0 0 -5

Games Played: 30

↓ Scored | Allowed →012345+Total
03.33%10.00%—6.67%——20.00%
13.33%16.67%10.00%6.67%6.67%3.33%46.67%
2—3.33%10.00%—10.00%—23.33%
3——3.33%——3.33%6.67%
4———3.33%——3.33%
5+———————
Total6.67%30.00%23.33%16.67%16.67%6.67%100%

Summary Statistics

Scored Allowed Difference
Mean 1.27 2.30 -1.03
SD 0.98 1.49 1.43
CV 0.77 0.65 —
Max 4 6 +1
Min 0 0 -4

Games Played: 30

↓ Scored | Allowed →012345+Total
010.00%10.00%3.33%———23.33%
16.67%3.33%13.33%———23.33%
2—3.33%6.67%———10.00%
36.67%10.00%—3.33%——20.00%
46.67%6.67%3.33%———16.67%
5+—6.67%————6.67%
Total30.00%40.00%26.67%3.33%——100%

Summary Statistics

Scored Allowed Difference
Mean 2.07 1.03 +1.03
SD 1.72 0.85 1.92
CV 0.83 0.82 —
Max 6 3 +5
Min 0 0 -2

Games Played: 30

↓ Scored | Allowed →012345+Total
03.33%—3.33%3.33%——10.00%
16.67%13.33%10.00%———30.00%
26.67%13.33%13.33%———33.33%
3—3.33%3.33%3.33%——10.00%
43.33%—3.33%3.33%——10.00%
5+3.33%——3.33%——6.67%
Total23.33%30.00%33.33%13.33%——100%

Summary Statistics

Scored Allowed Difference
Mean 2.03 1.37 +0.67
SD 1.45 1.00 1.63
CV 0.71 0.73 —
Max 6 3 +5
Min 0 0 -3

Games Played: 30

↓ Scored | Allowed →012345+Total
0—6.67%————6.67%
110.00%16.67%————26.67%
210.00%10.00%—3.33%——23.33%
36.67%—10.00%3.33%——20.00%
43.33%3.33%—3.33%——10.00%
5+10.00%3.33%————13.33%
Total40.00%40.00%10.00%10.00%——100%

Summary Statistics

Scored Allowed Difference
Mean 2.43 0.90 +1.53
SD 1.57 0.96 1.85
CV 0.64 1.07 —
Max 6 3 +6
Min 0 0 -1

Games Played: 30

↓ Scored | Allowed →012345+Total
03.33%6.67%6.67%3.33%3.33%—23.33%
13.33%6.67%26.67%3.33%—6.67%46.67%
2—3.33%3.33%6.67%6.67%—20.00%
3—3.33%——3.33%—6.67%
4—3.33%————3.33%
5+———————
Total6.67%23.33%36.67%13.33%13.33%6.67%100%

Summary Statistics

Scored Allowed Difference
Mean 1.20 2.27 -1.07
SD 1.00 1.41 1.66
CV 0.83 0.62 —
Max 4 6 +3
Min 0 0 -5

Games Played: 30

↓ Scored | Allowed →012345+Total
06.67%6.67%6.67%———20.00%
16.67%16.67%—16.67%3.33%3.33%46.67%
23.33%6.67%10.00%3.33%——23.33%
33.33%6.67%————10.00%
4———————
5+———————
Total20.00%36.67%16.67%20.00%3.33%3.33%100%

Summary Statistics

Scored Allowed Difference
Mean 1.23 1.63 -0.40
SD 0.90 1.40 1.71
CV 0.73 0.86 —
Max 3 6 +3
Min 0 0 -5

Games Played: 30

↓ Scored | Allowed →012345+Total
03.33%3.33%3.33%———10.00%
113.33%6.67%6.67%—6.67%3.33%36.67%
216.67%3.33%3.33%3.33%——26.67%
3——13.33%3.33%——16.67%
43.33%3.33%3.33%———10.00%
5+———————
Total36.67%16.67%30.00%6.67%6.67%3.33%100%

Summary Statistics

Scored Allowed Difference
Mean 1.80 1.43 +0.37
SD 1.16 1.50 1.90
CV 0.64 1.05 —
Max 4 6 +4
Min 0 0 -5

Games Played: 30

↓ Scored | Allowed →012345+Total
03.33%6.67%3.33%6.67%10.00%—30.00%
1—16.67%10.00%6.67%3.33%3.33%40.00%
23.33%3.33%—10.00%——16.67%
3—6.67%—3.33%——10.00%
4—3.33%————3.33%
5+———————
Total6.67%36.67%13.33%26.67%13.33%3.33%100%

Summary Statistics

Scored Allowed Difference
Mean 1.17 2.13 -0.97
SD 1.09 1.33 1.90
CV 0.93 0.62 —
Max 4 5 +3
Min 0 0 -4

Games Played: 30

↓ Scored | Allowed →012345+Total
0——6.67%—3.33%—10.00%
16.67%13.33%3.33%6.67%——30.00%
23.33%16.67%3.33%3.33%——26.67%
3—6.67%3.33%3.33%——13.33%
4—3.33%3.33%———6.67%
5+6.67%3.33%—3.33%——13.33%
Total16.67%43.33%20.00%16.67%3.33%—100%

Summary Statistics

Scored Allowed Difference
Mean 2.23 1.47 +0.77
SD 1.68 1.07 2.19
CV 0.75 0.73 —
Max 6 4 +6
Min 0 0 -4

Games Played: 30

↓ Scored | Allowed →012345+Total
03.33%16.67%3.33%—3.33%3.33%30.00%
13.33%20.00%6.67%6.67%——36.67%
210.00%3.33%3.33%3.33%——20.00%
3—6.67%——3.33%—10.00%
4—————3.33%3.33%
5+———————
Total16.67%46.67%13.33%10.00%6.67%6.67%100%

Summary Statistics

Scored Allowed Difference
Mean 1.20 1.67 -0.47
SD 1.10 1.52 1.76
CV 0.91 0.91 —
Max 4 6 +2
Min 0 0 -6

Games Played: 30

↓ Scored | Allowed →012345+Total
03.33%3.33%13.33%———20.00%
110.00%13.33%10.00%———33.33%
210.00%3.33%6.67%—3.33%—23.33%
33.33%6.67%3.33%———13.33%
4——3.33%3.33%——6.67%
5+————3.33%—3.33%
Total26.67%26.67%36.67%3.33%6.67%—100%

Summary Statistics

Scored Allowed Difference
Mean 1.63 1.37 +0.27
SD 1.33 1.13 1.46
CV 0.81 0.83 —
Max 5 4 +3
Min 0 0 -2

Games Played: 30

↓ Scored | Allowed →012345+Total
0—13.33%3.33%———16.67%
16.67%6.67%3.33%3.33%10.00%—30.00%
210.00%13.33%————23.33%
36.67%10.00%——3.33%—20.00%
43.33%3.33%3.33%———10.00%
5+———————
Total26.67%46.67%10.00%3.33%13.33%—100%

Summary Statistics

Scored Allowed Difference
Mean 1.77 1.30 +0.47
SD 1.25 1.29 1.96
CV 0.71 0.99 —
Max 4 4 +4
Min 0 0 -3

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 Stromsgodset 57 46.44 +10.56
2 Stabaek 56 45.96 +10.04
3 Rosenborg 69 61.70 +7.30
4 Bodo Glimt 40 32.71 +7.29
5 Viking 53 45.82 +7.18

Biggest Disappointments

# Team Actual Sim vsSim
1 Sandefjord 16 30.93 -14.93
2 Start 22 33.10 -11.10
3 Mjondalen 21 31.14 -10.14
4 Tromso 29 35.01 -6.01
5 Molde 52 55.82 -3.82

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 Bodo Glimt 6 Jun 28 – Aug 9 1 in 6,621
2 Stabaek 6 Apr 19 – May 13 1 in 436
3 Odds 5 Aug 16 – Sep 20 1 in 42
4 Valerenga 4 May 12 – May 31 1 in 36
5 Aalesund 3 Apr 30 – May 10 1 in 27

Most Unlikely Losing Streaks

# Team Games Dates Probability
1 Sandefjord 9 Apr 26 – Jun 6 1 in 848
2 Start 8 Jul 12 – Sep 13 1 in 435
3 Tromso 5 Apr 30 – May 16 1 in 109
4 Molde 2 Jul 10 – Jul 18 1 in 78
5 Valerenga 4 Aug 16 – Sep 13 1 in 31

Most Unlikely Unbeaten Streaks

# Team Games Dates Probability
1 Bodo Glimt 6 Jun 28 – Aug 9 1 in 105
2 Stabaek 7 Apr 19 – May 16 1 in 49
3 Haugesund 5 Jul 4 – Aug 9 1 in 47
4 Stromsgodset 11 Aug 23 – Nov 8 1 in 32
5 Viking 6 Apr 30 – May 25 1 in 26

Most Unlikely Winless Streaks

# Team Games Dates Probability
1 Start 15 Jul 12 – Nov 8 1 in 112
2 Sandefjord 15 Apr 26 – Aug 2 1 in 110
3 Mjondalen 11 May 16 – Aug 7 1 in 63
4 Molde 4 Jul 10 – Aug 15 1 in 50
5 Sarpsborg 08 10 May 31 – Aug 15 1 in 35

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
Rosenborg63.80%20.88%8.44%3.84%1.72%0.68%0.36%0.10%0.10%0.03%0.04%—0.01%———
Stromsgodset2.17%7.41%12.20%14.63%13.52%12.39%10.25%8.12%6.65%4.24%3.20%2.21%1.42%0.90%0.57%0.12%
Stabaek1.73%5.79%10.67%12.55%13.82%13.94%11.86%8.94%7.04%4.87%3.46%2.16%1.51%0.95%0.56%0.15%
Odds7.17%16.94%20.74%16.05%12.23%8.91%6.30%4.49%2.85%1.69%1.21%0.71%0.35%0.17%0.14%0.05%
Viking2.00%6.13%10.15%13.51%13.84%12.84%10.83%9.13%6.55%5.03%3.58%2.70%1.62%1.09%0.70%0.30%
Molde20.96%33.82%19.85%10.63%6.07%3.84%2.14%1.29%0.58%0.39%0.24%0.08%0.07%0.04%——
Valerenga1.36%4.87%7.90%11.48%12.11%12.58%12.13%10.27%8.17%6.44%4.47%3.43%2.20%1.32%0.91%0.36%
Lillestrom0.62%2.67%5.75%8.42%10.73%11.71%12.22%11.63%9.64%8.19%6.29%4.47%3.34%2.39%1.27%0.66%
Bodo Glimt0.01%0.13%0.30%0.57%1.01%2.15%3.28%4.57%6.58%8.48%9.75%11.32%12.12%12.70%13.94%13.09%
Aalesund0.09%0.44%1.22%2.45%3.82%4.91%6.70%8.64%10.16%11.09%10.41%9.66%9.42%8.62%7.21%5.16%
Sarpsborg 080.04%0.45%0.95%2.45%3.55%4.73%6.89%8.74%10.38%11.45%11.50%9.84%9.18%8.53%6.42%4.90%
Haugesund0.02%0.13%0.56%1.16%2.18%3.57%4.90%6.47%7.87%9.39%10.31%11.52%11.38%11.06%10.71%8.77%
Tromso0.02%0.18%0.67%1.12%2.50%3.57%5.24%6.86%8.62%9.56%10.24%12.01%11.15%10.38%9.72%8.16%
Start—0.06%0.28%0.65%1.48%1.88%2.90%4.80%6.09%7.42%9.94%11.04%12.83%13.70%13.56%13.37%
Mjondalen0.01%0.04%0.20%0.23%0.74%1.20%2.14%3.06%4.83%5.81%7.51%9.44%11.79%13.80%16.71%22.49%
Sandefjord—0.06%0.12%0.26%0.68%1.10%1.86%2.89%3.89%5.92%7.85%9.41%11.61%14.35%17.58%22.42%

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
+16.25%
Clear Edge
47.08%22.08%30.83%
Elo Value
Home Edge
164 Elo
0.006 goals per Elo point
056.96500
Scoring Tilt
Expected
+0.29 goals
Neutral
-2+0.35+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
64%
Rosenborg, 1st of 16
LongshotFavorite
Title Margin
Expected
0.40/gm
Comfortable
00.210.6/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 5.45 * Some Luck: 5.45 to 8.18 * Lucky: 8.18 to 10.91 * Wild Swing: 10.91 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 1.89 * Close: 1.89 to 2.83 * Off: 2.83 to 3.77 * Way Off: 3.77 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
7.62 points
Some Luck
06.8217
Average Finish Error
Expected
1.25
Pinpoint
02.365
Biggest Overachiever
Expected 96.88%
93.93%
Stromsgodset
50100
Biggest Underachiever
Expected 3.12%
1.11%
Sandefjord
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
0.20
Top-Heavy
00.120.180.260.5
Noll-Scully
Coin-flip
1.86
Strong Separation
01.003
Interquartile Edge
73%
Clear Edge
50%60%70%80%100%
Best vs. Worst
Baseline 94%
93%
Dominant
50%100%
Close Games
Expected
57%
Very Frequent
0%55%100%
Blowouts
Expected
18%
Frequent
0%21%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
0.57
Predictable
00.602
Matchup Imbalance
0.35
Lopsided
00.10.180.280.5
Strangeness
Expected
1.28
Wilder Than Modeled
01.002
Repeatability
0.53
Some Carryover
00.30.60.851
Upset Rate
Expected
20%
Chalky
0%25%50%
Clear Favorite Upset Rate
Expected
17%
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 0.16 * Above Noise: 0.16 to 0.21 * Well Above Noise: 0.21 and up.
Probability calibration
0.68
Excellent
0.010.050.10.51
Calibration slope
Ideal
1.32
Very Underconfident
0.51.001.5
Calibration error (ECE)
Noise ceiling
0.081
Well Within Noise
00.1060.25

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 99.96% 0.04% —
Odds 99.64% 0.17% 0.19%
Stromsgodset 98.41% 0.90% 0.69%
Stabaek 98.34% 0.95% 0.71%
Viking 97.91% 1.09% 1.00%
Valerenga 97.41% 1.32% 1.27%
Lillestrom 95.68% 2.39% 1.93%
Sarpsborg 08 80.15% 8.53% 11.32%
Aalesund 79.01% 8.62% 12.37%
Tromso 71.74% 10.38% 17.88%
Haugesund 69.46% 11.06% 19.48%
Bodo Glimt 60.27% 12.70% 27.03%
Mjondalen 47.00% 13.80% 39.20%
Sandefjord 45.65% 14.35% 40.00%
Start — 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
2015-04-06 Aalesund W 5-0 1573 1516 53.4% 22.6% 23.9% +29.5 3
2015-04-06 @ Rosenborg L 0-5 1516 1573 23.9% 22.6% 53.4% -29.5 0
2015-04-06 Bodo Glimt W 3-1 1481 1431 52.6% 22.7% 24.7% +11.2 3
2015-04-06 @ Sandefjord L 1-3 1431 1481 24.7% 22.7% 52.6% -11.2 0
2015-04-06 Haugesund D 1-1 1448 1476 42.4% 23.4% 34.3% -0.4 1
2015-04-06 @ Stabaek D 1-1 1476 1448 34.3% 23.4% 42.4% +0.4 1
2015-04-06 Sarpsborg 08 L 0-1 1479 1462 48.4% 23.1% 28.5% -11.8 0
2015-04-06 @ Tromso W 1-0 1462 1479 28.5% 23.1% 48.4% +11.8 3
2015-04-06 Stromsgodset W 3-1 1496 1524 42.4% 23.4% 34.2% +14.7 3
2015-04-06 @ Valerenga L 1-3 1524 1496 34.2% 23.4% 42.4% -14.6 0
2015-04-06 Viking W 1-0 1447 1479 41.8% 23.4% 34.9% +9.1 3
2015-04-06 @ Mjondalen L 0-1 1479 1447 34.9% 23.4% 41.8% -9.1 0
2015-04-07 Odds L 1-2 1610 1553 53.4% 22.6% 24.0% -12.1 0
2015-04-07 @ Molde W 2-1 1553 1610 24.0% 22.6% 53.4% +12.2 3
2015-04-07 Start D 1-1 1519 1452 54.5% 22.5% 23.0% -1.7 1
2015-04-07 @ Lillestrom D 1-1 1452 1519 23.0% 22.5% 54.5% +1.7 1
2015-04-10 Valerenga D 1-1 1474 1511 41.1% 23.4% 35.5% -0.3 4
2015-04-10 @ Sarpsborg 08 D 1-1 1511 1474 35.5% 23.4% 41.1% +0.3 4
2015-04-11 Mjondalen D 1-1 1509 1456 53.0% 22.7% 24.3% -1.6 1
2015-04-11 @ Stromsgodset D 1-1 1456 1509 24.3% 22.7% 53.0% +1.6 4
2015-04-11 Molde L 1-3 1419 1597 23.2% 22.5% 54.2% -10.6 0
2015-04-11 @ Bodo Glimt W 3-1 1597 1419 54.2% 22.5% 23.2% +10.6 3
2015-04-12 Lillestrom D 1-1 1486 1517 42.0% 23.4% 34.6% -0.4 1
2015-04-12 @ Aalesund D 1-1 1517 1486 34.6% 23.4% 42.0% +0.4 2
2015-04-12 Rosenborg L 0-6 1477 1603 29.1% 23.1% 47.8% -41.2 1
2015-04-12 @ Haugesund W 6-0 1603 1477 47.8% 23.1% 29.1% +41.2 6
2015-04-12 Sandefjord W 2-1 1454 1492 41.0% 23.4% 35.6% +8.7 4
2015-04-12 @ Start L 1-2 1492 1454 35.6% 23.4% 41.0% -8.7 3
2015-04-12 Stabaek W 2-0 1565 1448 60.0% 21.6% 18.4% +9.9 6
2015-04-12 @ Odds L 0-2 1448 1565 18.4% 21.6% 60.0% -9.9 1
2015-04-12 Tromso W 3-1 1470 1467 46.6% 23.2% 30.2% +13.2 3
2015-04-12 @ Viking L 1-3 1467 1470 30.2% 23.2% 46.6% -13.2 0
2015-04-17 Haugesund W 2-0 1511 1436 55.5% 22.4% 22.1% +11.7 7
2015-04-17 @ Valerenga L 0-2 1436 1511 22.1% 22.4% 55.5% -11.7 1
2015-04-18 Start D 1-1 1457 1463 45.5% 23.3% 31.3% -0.8 5
2015-04-18 @ Mjondalen D 1-1 1463 1457 31.3% 23.3% 45.5% +0.8 5
2015-04-18 Stromsgodset D 1-1 1644 1508 61.9% 21.2% 16.9% -2.5 7
2015-04-18 @ Rosenborg D 1-1 1508 1644 16.9% 21.2% 61.9% +2.6 2
2015-04-19 Aalesund W 5-1 1608 1486 60.5% 21.5% 17.9% +15.4 6
2015-04-19 @ Molde L 1-5 1486 1608 17.9% 21.5% 60.5% -15.3 1
2015-04-19 Lillestrom D 1-1 1454 1517 37.4% 23.4% 39.2% +0.1 1
2015-04-19 @ Tromso D 1-1 1517 1454 39.2% 23.4% 37.4% -0.1 3
2015-04-19 Odds L 2-4 1409 1575 24.5% 22.7% 52.8% -10.0 0
2015-04-19 @ Bodo Glimt W 4-2 1575 1409 52.8% 22.7% 24.5% +10.0 9
2015-04-19 Sarpsborg 08 W 1-0 1484 1474 47.5% 23.2% 29.3% +7.9 6
2015-04-19 @ Sandefjord L 0-1 1474 1484 29.3% 23.2% 47.5% -7.9 4
2015-04-19 Viking W 1-0 1438 1484 39.9% 23.4% 36.7% +9.5 4
2015-04-19 @ Stabaek L 0-1 1484 1438 36.7% 23.4% 39.9% -9.5 3
2015-04-24 Valerenga L 2-3 1464 1523 38.0% 23.4% 38.6% -8.7 5
2015-04-24 @ Start W 3-2 1523 1464 38.6% 23.4% 38.0% +8.7 10
2015-04-25 Mjondalen D 2-2 1585 1457 61.1% 21.4% 17.5% -1.8 10
2015-04-25 @ Odds D 2-2 1457 1585 17.5% 21.4% 61.1% +1.8 6
2015-04-25 Rosenborg L 1-4 1474 1641 24.4% 22.7% 53.0% -15.7 3
2015-04-25 @ Viking W 4-1 1641 1474 53.0% 22.7% 24.4% +15.7 10
2015-04-26 Bodo Glimt D 2-2 1466 1399 54.5% 22.5% 23.0% -1.3 5
2015-04-26 @ Sarpsborg 08 D 2-2 1399 1466 23.0% 22.5% 54.5% +1.3 1
2015-04-26 Molde D 0-0 1424 1623 21.1% 22.2% 56.7% +2.2 2
2015-04-26 @ Haugesund D 0-0 1623 1424 56.7% 22.2% 21.1% -2.2 7
2015-04-26 Sandefjord W 3-2 1510 1492 48.7% 23.1% 28.3% +6.9 5
2015-04-26 @ Stromsgodset L 2-3 1492 1510 28.3% 23.1% 48.7% -6.9 6
2015-04-26 Stabaek L 0-2 1517 1447 54.9% 22.4% 22.7% -24.9 3
2015-04-26 @ Lillestrom W 2-0 1447 1517 22.7% 22.4% 54.9% +24.9 7
2015-04-26 Tromso L 0-2 1471 1454 48.4% 23.1% 28.5% -22.3 1
2015-04-26 @ Aalesund W 2-0 1454 1471 28.5% 23.1% 48.4% +22.3 4
2015-04-29 Odds W 2-0 1464 1583 30.0% 23.2% 46.8% +21.7 8
2015-04-29 @ Sarpsborg 08 L 0-2 1583 1464 46.8% 23.2% 30.0% -21.7 10
2015-04-29 Stromsgodset W 3-1 1621 1517 58.6% 21.9% 19.5% +9.1 10
2015-04-29 @ Molde L 1-3 1517 1621 19.5% 21.9% 58.6% -9.1 5
2015-04-30 Aalesund L 1-2 1532 1448 56.4% 22.2% 21.4% -12.8 10
2015-04-30 @ Valerenga W 2-1 1448 1532 21.4% 22.2% 56.4% +12.8 4
2015-04-30 Haugesund L 1-2 1400 1426 42.7% 23.4% 34.0% -10.1 1
2015-04-30 @ Bodo Glimt W 2-1 1426 1400 34.0% 23.4% 42.7% +10.0 5
2015-04-30 Lillestrom L 1-4 1458 1492 41.6% 23.4% 35.0% -24.1 6
2015-04-30 @ Mjondalen W 4-1 1492 1458 35.0% 23.4% 41.6% +24.1 6
2015-04-30 Stabaek L 0-2 1476 1472 46.8% 23.2% 30.1% -21.7 4
2015-04-30 @ Tromso W 2-0 1472 1476 30.1% 23.2% 46.8% +21.7 10
2015-04-30 Start W 3-2 1657 1455 67.8% 19.7% 12.5% +3.2 13
2015-04-30 @ Rosenborg L 2-3 1455 1657 12.5% 19.7% 67.8% -3.2 5
2015-04-30 Viking L 1-2 1485 1458 49.6% 23.0% 27.4% -11.4 6
2015-04-30 @ Sandefjord W 2-1 1458 1485 27.4% 23.0% 49.6% +11.4 6
2015-05-02 Sarpsborg 08 D 1-1 1508 1486 49.1% 23.0% 27.9% -1.1 6
2015-05-02 @ Stromsgodset D 1-1 1486 1508 27.9% 23.0% 49.1% +1.1 9
2015-05-03 Bodo Glimt W 2-0 1461 1390 55.0% 22.4% 22.6% +12.0 7
2015-05-03 @ Aalesund L 0-2 1390 1461 22.6% 22.4% 55.0% -12.0 1
2015-05-03 Mjondalen W 1-0 1494 1434 53.7% 22.6% 23.7% +6.6 13
2015-05-03 @ Stabaek L 0-1 1434 1494 23.7% 22.6% 53.7% -6.6 6
2015-05-03 Rosenborg L 1-2 1561 1660 32.5% 23.3% 44.2% -8.1 10
2015-05-03 @ Odds W 2-1 1660 1561 44.2% 23.3% 32.5% +8.1 16
2015-05-03 Sandefjord W 2-1 1436 1473 41.1% 23.4% 35.5% +8.7 8
2015-05-03 @ Haugesund L 1-2 1473 1436 35.5% 23.4% 41.1% -8.7 6
2015-05-03 Tromso W 3-1 1452 1455 45.8% 23.2% 30.9% +13.5 8
2015-05-03 @ Start L 1-3 1455 1452 30.9% 23.2% 45.8% -13.5 4
2015-05-03 Valerenga D 1-1 1516 1519 45.9% 23.2% 30.9% -0.8 7
2015-05-03 @ Lillestrom D 1-1 1519 1516 30.9% 23.2% 45.9% +0.8 11
2015-05-04 Molde W 2-1 1470 1630 25.1% 22.8% 52.1% +11.9 9
2015-05-04 @ Viking L 1-2 1630 1470 52.1% 22.8% 25.1% -11.9 10
2015-05-09 Lillestrom W 3-0 1668 1516 63.5% 20.9% 15.6% +12.3 19
2015-05-09 @ Rosenborg L 0-3 1516 1668 15.6% 20.9% 63.5% -12.3 7
2015-05-09 Stabaek L 0-2 1520 1501 48.7% 23.1% 28.2% -22.4 11
2015-05-09 @ Valerenga W 2-0 1501 1520 28.2% 23.1% 48.7% +22.4 16
2015-05-09 Tromso W 4-3 1428 1441 44.4% 23.3% 32.3% +7.5 9
2015-05-09 @ Mjondalen L 3-4 1441 1428 32.3% 23.3% 44.4% -7.5 4
2015-05-10 Aalesund L 1-3 1465 1473 45.1% 23.3% 31.6% -18.2 6
2015-05-10 @ Sandefjord W 3-1 1473 1465 31.6% 23.3% 45.1% +18.2 10
2015-05-10 Haugesund W 3-0 1487 1445 51.6% 22.8% 25.6% +19.3 12
2015-05-10 @ Sarpsborg 08 L 0-3 1445 1487 25.6% 22.8% 51.6% -19.3 8
2015-05-10 Odds D 1-1 1482 1553 36.2% 23.4% 40.3% +0.2 10
2015-05-10 @ Viking D 1-1 1553 1482 40.3% 23.4% 36.2% -0.2 11
2015-05-10 Start W 4-0 1618 1465 63.5% 20.9% 15.6% +16.1 13
2015-05-10 @ Molde L 0-4 1465 1618 15.6% 20.9% 63.5% -16.1 8
2015-05-10 Stromsgodset L 3-5 1378 1507 28.7% 23.1% 48.2% -10.8 1
2015-05-10 @ Bodo Glimt W 5-3 1507 1378 48.2% 23.1% 28.7% +10.8 9
2015-05-12 Rosenborg W 3-2 1435 1681 17.2% 21.3% 61.5% +13.1 12
2015-05-12 @ Mjondalen L 2-3 1681 1435 61.5% 21.3% 17.2% -13.1 19
2015-05-12 Valerenga L 4-5 1434 1497 37.4% 23.4% 39.2% -8.3 4
2015-05-12 @ Tromso W 5-4 1497 1434 39.2% 23.4% 37.4% +8.3 14
2015-05-13 Bodo Glimt D 1-1 1449 1367 56.2% 22.3% 21.5% -1.9 9
2015-05-13 @ Start D 1-1 1367 1449 21.5% 22.3% 56.2% +1.9 2
2015-05-13 Molde W 2-1 1503 1634 28.4% 23.1% 48.5% +11.2 10
2015-05-13 @ Lillestrom L 1-2 1634 1503 48.5% 23.1% 28.4% -11.2 13
2015-05-13 Sandefjord W 4-0 1523 1446 55.7% 22.4% 22.0% +22.2 19
2015-05-13 @ Stabaek L 0-4 1446 1523 22.0% 22.4% 55.7% -22.2 6
2015-05-13 Sarpsborg 08 D 2-2 1491 1507 44.1% 23.3% 32.5% -0.5 11
2015-05-13 @ Aalesund D 2-2 1507 1491 32.5% 23.3% 44.1% +0.5 13
2015-05-13 Stromsgodset W 2-0 1553 1518 50.7% 22.9% 26.4% +13.7 14
2015-05-13 @ Odds L 0-2 1518 1553 26.4% 22.9% 50.7% -13.7 9
2015-05-13 Viking L 0-2 1425 1482 38.4% 23.4% 38.2% -18.5 8
2015-05-13 @ Haugesund W 2-0 1482 1425 38.2% 23.4% 38.4% +18.5 13
2015-05-16 Aalesund W 3-1 1504 1491 48.0% 23.1% 28.9% +12.8 12
2015-05-16 @ Stromsgodset L 1-3 1491 1504 28.9% 23.1% 48.0% -12.8 11
2015-05-16 Haugesund D 0-0 1567 1407 64.1% 20.7% 15.1% -3.1 15
2015-05-16 @ Odds D 0-0 1407 1567 15.1% 20.7% 64.1% +3.1 9
2015-05-16 Lillestrom L 1-3 1507 1514 45.2% 23.3% 31.5% -18.3 13
2015-05-16 @ Sarpsborg 08 W 3-1 1514 1507 31.5% 23.3% 45.2% +18.2 13
2015-05-16 Mjondalen W 4-2 1505 1448 53.4% 22.6% 24.0% +9.8 17
2015-05-16 @ Valerenga L 2-4 1448 1505 24.0% 22.6% 53.4% -9.8 12
2015-05-16 Sandefjord W 5-1 1668 1424 71.1% 18.6% 10.3% +8.8 22
2015-05-16 @ Rosenborg L 1-5 1424 1668 10.3% 18.6% 71.1% -8.8 6
2015-05-16 Stabaek D 3-3 1623 1545 55.8% 22.3% 21.9% -1.2 14
2015-05-16 @ Molde D 3-3 1545 1623 21.9% 22.3% 55.8% +1.2 20
2015-05-16 Start W 1-0 1500 1447 52.9% 22.7% 24.4% +6.8 16
2015-05-16 @ Viking L 0-1 1447 1500 24.4% 22.7% 52.9% -6.8 9
2015-05-16 Tromso W 1-0 1369 1425 38.4% 23.4% 38.2% +9.8 5
2015-05-16 @ Bodo Glimt L 0-1 1425 1369 38.2% 23.4% 38.4% -9.8 4
2015-05-22 Molde L 0-3 1439 1622 22.7% 22.4% 54.9% -17.5 12
2015-05-22 @ Mjondalen W 3-0 1622 1439 54.9% 22.4% 22.7% +17.5 17
2015-05-24 Stromsgodset W 4-0 1410 1517 31.5% 23.3% 45.3% +40.0 12
2015-05-24 @ Haugesund L 0-4 1517 1410 45.3% 23.3% 31.5% -40.0 12
2015-05-25 Bodo Glimt W 3-0 1533 1379 63.6% 20.9% 15.6% +12.3 16
2015-05-25 @ Lillestrom L 0-3 1379 1533 15.6% 20.9% 63.6% -12.3 5
2015-05-25 Odds D 2-2 1416 1563 26.5% 22.9% 50.6% +1.0 5
2015-05-25 @ Tromso D 2-2 1563 1416 50.6% 22.9% 26.5% -1.0 16
2015-05-25 Rosenborg L 2-3 1546 1676 28.6% 23.1% 48.3% -6.9 20
2015-05-25 @ Stabaek W 3-2 1676 1546 48.3% 23.1% 28.6% +7.0 25
2015-05-25 Sarpsborg 08 L 1-2 1440 1489 39.5% 23.4% 37.0% -9.5 9
2015-05-25 @ Start W 2-1 1489 1440 37.0% 23.4% 39.5% +9.5 16
2015-05-25 Valerenga L 0-3 1415 1515 32.4% 23.3% 44.3% -23.5 6
2015-05-25 @ Sandefjord W 3-0 1515 1415 44.3% 23.3% 32.4% +23.5 20
2015-05-25 Viking L 0-4 1478 1507 42.2% 23.4% 34.4% -37.8 11
2015-05-25 @ Aalesund W 4-0 1507 1478 34.4% 23.4% 42.2% +37.8 19
2015-05-29 Aalesund D 1-1 1562 1440 60.5% 21.5% 17.9% -2.4 17
2015-05-29 @ Odds D 1-1 1440 1562 17.9% 21.5% 60.5% +2.4 12
2015-05-30 Sandefjord W 6-1 1640 1392 71.4% 18.5% 10.1% +10.6 20
2015-05-30 @ Molde L 1-6 1392 1640 10.1% 18.5% 71.4% -10.5 6
2015-05-30 Start L 0-2 1450 1431 48.7% 23.1% 28.2% -22.4 12
2015-05-30 @ Haugesund W 2-0 1431 1450 28.2% 23.1% 48.7% +22.4 12
2015-05-31 Lillestrom W 2-0 1477 1545 36.7% 23.4% 39.9% +19.0 15
2015-05-31 @ Stromsgodset L 0-2 1545 1477 39.9% 23.4% 36.7% -19.0 16
2015-05-31 Mjondalen W 5-1 1367 1421 38.7% 23.4% 37.9% +29.0 8
2015-05-31 @ Bodo Glimt L 1-5 1421 1367 37.9% 23.4% 38.7% -29.0 12
2015-05-31 Stabaek L 0-1 1498 1539 40.5% 23.4% 36.1% -10.2 16
2015-05-31 @ Sarpsborg 08 W 1-0 1539 1498 36.1% 23.4% 40.5% +10.2 23
2015-05-31 Tromso D 1-1 1683 1417 72.8% 17.9% 9.3% -3.7 26
2015-05-31 @ Rosenborg D 1-1 1417 1683 9.3% 17.9% 72.8% +3.7 6
2015-05-31 Valerenga L 3-4 1545 1539 47.0% 23.2% 29.8% -10.1 19
2015-05-31 @ Viking W 4-3 1539 1545 29.8% 23.2% 47.0% +10.1 23
2015-06-05 Molde W 2-0 1420 1650 18.4% 21.7% 59.9% +27.0 9
2015-06-05 @ Tromso L 0-2 1650 1420 59.9% 21.7% 18.4% -27.0 20
2015-06-06 Odds L 0-1 1381 1560 23.2% 22.5% 54.3% -6.5 6
2015-06-06 @ Sandefjord W 1-0 1560 1381 54.3% 22.5% 23.2% +6.5 20
2015-06-06 Rosenborg L 1-2 1549 1680 28.5% 23.1% 48.4% -7.3 23
2015-06-06 @ Valerenga W 2-1 1680 1549 48.4% 23.1% 28.5% +7.3 29
2015-06-07 Bodo Glimt W 3-2 1550 1396 63.6% 20.9% 15.5% +4.0 26
2015-06-07 @ Stabaek L 2-3 1396 1550 15.5% 20.9% 63.6% -4.0 8
2015-06-07 Haugesund W 2-1 1443 1428 48.2% 23.1% 28.7% +7.4 15
2015-06-07 @ Aalesund L 1-2 1428 1443 28.7% 23.1% 48.2% -7.4 12
2015-06-07 Sarpsborg 08 D 1-1 1392 1488 32.9% 23.3% 43.8% +0.6 13
2015-06-07 @ Mjondalen D 1-1 1488 1392 43.8% 23.3% 32.9% -0.6 17
2015-06-07 Stromsgodset L 0-1 1453 1496 40.3% 23.4% 36.2% -10.2 12
2015-06-07 @ Start W 1-0 1496 1453 36.2% 23.4% 40.3% +10.2 18
2015-06-07 Viking W 2-1 1526 1535 45.0% 23.3% 31.7% +8.0 19
2015-06-07 @ Lillestrom L 1-2 1535 1526 31.7% 23.3% 45.0% -8.0 19
2015-06-19 Start D 3-3 1567 1443 60.6% 21.5% 17.8% -1.5 21
2015-06-19 @ Odds D 3-3 1443 1567 17.8% 21.5% 60.6% +1.5 13
2015-06-20 Lillestrom D 0-0 1375 1534 25.2% 22.8% 52.0% +1.6 7
2015-06-20 @ Sandefjord D 0-0 1534 1375 52.0% 22.8% 25.2% -1.6 20
2015-06-20 Valerenga D 0-0 1623 1542 56.2% 22.3% 21.5% -2.2 21
2015-06-20 @ Molde D 0-0 1542 1623 21.5% 22.3% 56.2% +2.1 24
2015-06-21 Mjondalen D 1-1 1420 1393 49.8% 23.0% 27.2% -1.2 13
2015-06-21 @ Haugesund D 1-1 1393 1420 27.2% 23.0% 49.8% +1.2 14
2015-06-21 Rosenborg L 0-2 1487 1687 21.1% 22.2% 56.7% -11.3 17
2015-06-21 @ Sarpsborg 08 W 2-0 1687 1487 56.7% 22.2% 21.1% +11.3 32
2015-06-21 Stabaek D 1-1 1450 1554 31.9% 23.3% 44.8% +0.7 16
2015-06-21 @ Aalesund D 1-1 1554 1450 44.8% 23.3% 31.9% -0.7 27
2015-06-21 Tromso W 2-1 1506 1447 53.6% 22.6% 23.8% +6.3 21
2015-06-21 @ Stromsgodset L 1-2 1447 1506 23.8% 22.6% 53.6% -6.3 9
2015-06-21 Viking L 0-3 1392 1527 28.0% 23.1% 49.0% -20.9 8
2015-06-21 @ Bodo Glimt W 3-0 1527 1392 49.0% 23.1% 28.0% +20.9 22
2015-06-27 Aalesund W 3-1 1445 1451 45.4% 23.3% 31.3% +13.7 16
2015-06-27 @ Start L 1-3 1451 1445 31.3% 23.3% 45.4% -13.6 16
2015-06-27 Molde D 1-1 1698 1621 55.7% 22.3% 21.9% -1.9 33
2015-06-27 @ Rosenborg D 1-1 1621 1698 21.9% 22.3% 55.7% +1.9 22
2015-06-27 Stromsgodset W 3-2 1553 1512 51.4% 22.8% 25.8% +6.4 30
2015-06-27 @ Stabaek L 2-3 1512 1553 25.8% 22.8% 51.4% -6.4 21
2015-06-28 Bodo Glimt L 1-2 1544 1371 65.3% 20.4% 14.3% -14.6 24
2015-06-28 @ Valerenga W 2-1 1371 1544 14.3% 20.4% 65.3% +14.6 11
2015-06-28 Haugesund W 2-0 1441 1419 49.1% 23.0% 27.9% +14.3 12
2015-06-28 @ Tromso L 0-2 1419 1441 27.9% 23.0% 49.1% -14.3 13
2015-06-28 Odds D 1-1 1532 1565 41.7% 23.4% 34.9% -0.3 21
2015-06-28 @ Lillestrom D 1-1 1565 1532 34.9% 23.4% 41.7% +0.3 22
2015-06-28 Sandefjord D 2-2 1394 1376 48.5% 23.1% 28.4% -0.8 15
2015-06-28 @ Mjondalen D 2-2 1376 1394 28.4% 23.1% 48.5% +0.8 8
2015-06-28 Sarpsborg 08 W 3-1 1548 1476 55.1% 22.4% 22.5% +10.3 25
2015-06-28 @ Viking L 1-3 1476 1548 22.5% 22.4% 55.1% -10.3 17
2015-07-03 Molde L 1-4 1466 1623 25.5% 22.8% 51.7% -16.3 17
2015-07-03 @ Sarpsborg 08 W 4-1 1623 1466 51.7% 22.8% 25.5% +16.3 25
2015-07-04 Lillestrom D 3-3 1405 1532 28.9% 23.1% 47.9% +0.6 14
2015-07-04 @ Haugesund D 3-3 1532 1405 47.9% 23.1% 28.9% -0.6 22
2015-07-04 Stabaek W 4-1 1458 1559 32.2% 23.3% 44.5% +25.5 19
2015-07-04 @ Start L 1-4 1559 1458 44.5% 23.3% 32.2% -25.5 30
2015-07-05 Mjondalen W 4-2 1437 1393 51.8% 22.8% 25.4% +10.3 19
2015-07-05 @ Aalesund L 2-4 1393 1437 25.4% 22.8% 51.8% -10.3 15
2015-07-05 Rosenborg W 1-0 1385 1696 12.8% 19.8% 67.4% +15.9 14
2015-07-05 @ Bodo Glimt L 0-1 1696 1385 67.4% 19.8% 12.8% -15.9 33
2015-07-05 Tromso D 1-1 1377 1455 35.3% 23.4% 41.3% +0.3 9
2015-07-05 @ Sandefjord D 1-1 1455 1377 41.3% 23.4% 35.3% -0.3 13
2015-07-05 Valerenga L 1-2 1565 1529 50.9% 22.9% 26.2% -11.6 22
2015-07-05 @ Odds W 2-1 1529 1565 26.2% 22.9% 50.9% +11.7 27
2015-07-05 Viking W 4-1 1506 1558 39.0% 23.4% 37.6% +22.3 24
2015-07-05 @ Stromsgodset L 1-4 1558 1506 37.6% 23.4% 39.0% -22.3 25
2015-07-10 Haugesund L 0-1 1639 1405 70.4% 18.9% 10.8% -16.5 25
2015-07-10 @ Molde W 1-0 1405 1639 10.8% 18.9% 70.4% +16.5 17
2015-07-11 Aalesund W 4-1 1536 1447 57.0% 22.1% 20.9% +13.7 28
2015-07-11 @ Viking L 1-4 1447 1536 20.9% 22.1% 57.0% -13.7 19
2015-07-11 Sandefjord W 2-0 1541 1378 64.5% 20.6% 14.9% +8.1 30
2015-07-11 @ Valerenga L 0-2 1378 1541 14.9% 20.6% 64.5% -8.1 9
2015-07-12 Bodo Glimt L 1-2 1383 1401 43.7% 23.3% 33.0% -10.2 15
2015-07-12 @ Mjondalen W 2-1 1401 1383 33.0% 23.3% 43.7% +10.2 17
2015-07-12 Odds W 3-0 1680 1554 61.0% 21.4% 17.6% +13.8 36
2015-07-12 @ Rosenborg L 0-3 1554 1680 17.6% 21.4% 61.0% -13.8 22
2015-07-12 Sarpsborg 08 D 0-0 1534 1450 56.5% 22.2% 21.2% -2.2 31
2015-07-12 @ Stabaek D 0-0 1450 1534 21.2% 22.2% 56.5% +2.2 18
2015-07-12 Start W 2-1 1455 1484 42.3% 23.4% 34.3% +8.5 16
2015-07-12 @ Tromso L 1-2 1484 1455 34.3% 23.4% 42.3% -8.5 19
2015-07-12 Stromsgodset L 1-2 1531 1528 46.6% 23.2% 30.2% -10.8 22
2015-07-12 @ Lillestrom W 2-1 1528 1531 30.2% 23.2% 46.6% +10.8 27
2015-07-18 Bodo Glimt L 1-2 1623 1412 68.6% 19.5% 12.0% -15.2 25
2015-07-18 @ Molde W 2-1 1412 1623 12.0% 19.5% 68.6% +15.2 20
2015-07-24 Viking L 0-3 1475 1550 35.9% 23.4% 40.7% -25.5 19
2015-07-24 @ Start W 3-0 1550 1475 40.7% 23.4% 35.9% +25.5 31
2015-07-25 Stabaek D 2-2 1422 1532 31.1% 23.2% 45.7% +0.6 18
2015-07-25 @ Haugesund D 2-2 1532 1422 45.7% 23.2% 31.1% -0.6 32
2015-07-26 Aalesund W 1-0 1427 1434 45.3% 23.3% 31.4% +8.4 23
2015-07-26 @ Bodo Glimt L 0-1 1434 1427 31.4% 23.3% 45.3% -8.4 19
2015-07-26 Mjondalen D 2-2 1452 1373 55.9% 22.3% 21.8% -1.4 19
2015-07-26 @ Sarpsborg 08 D 2-2 1373 1452 21.8% 22.3% 55.9% +1.4 16
2015-07-26 Rosenborg L 1-2 1369 1694 12.0% 19.5% 68.6% -3.2 9
2015-07-26 @ Sandefjord W 2-1 1694 1369 68.6% 19.5% 12.0% +3.2 39
2015-07-26 Tromso W 3-2 1540 1464 55.6% 22.4% 22.0% +5.5 25
2015-07-26 @ Odds L 2-3 1464 1540 22.0% 22.4% 55.6% -5.5 16
2015-07-27 Lillestrom W 2-0 1549 1520 49.9% 23.0% 27.1% +14.0 33
2015-07-27 @ Valerenga L 0-2 1520 1549 27.1% 23.0% 49.9% -14.0 22
2015-07-31 Haugesund L 0-1 1575 1422 63.5% 20.9% 15.6% -15.1 31
2015-07-31 @ Viking W 1-0 1422 1575 15.6% 20.9% 63.5% +15.1 21
2015-08-01 Valerenga W 2-0 1531 1563 41.9% 23.4% 34.7% +17.1 35
2015-08-01 @ Stabaek L 0-2 1563 1531 34.7% 23.4% 41.9% -17.1 33
2015-08-02 Odds L 3-6 1374 1545 23.9% 22.6% 53.4% -12.4 16
2015-08-02 @ Mjondalen W 6-3 1545 1374 53.4% 22.6% 23.9% +12.4 28
2015-08-02 Sandefjord W 3-2 1506 1366 62.3% 21.2% 16.5% +4.3 25
2015-08-02 @ Lillestrom L 2-3 1366 1506 16.5% 21.2% 62.3% -4.3 9
2015-08-02 Sarpsborg 08 W 3-2 1698 1450 71.4% 18.5% 10.1% +2.6 42
2015-08-02 @ Rosenborg L 2-3 1450 1698 10.1% 18.5% 71.4% -2.6 19
2015-08-02 Start W 2-0 1425 1450 42.9% 23.4% 33.8% +16.8 22
2015-08-02 @ Aalesund L 0-2 1450 1425 33.8% 23.4% 42.9% -16.8 19
2015-08-02 Stromsgodset L 0-6 1458 1539 34.9% 23.4% 41.7% -47.7 16
2015-08-02 @ Tromso W 6-0 1539 1458 41.7% 23.4% 34.9% +47.7 30
2015-08-07 Mjondalen W 2-1 1362 1362 46.2% 23.2% 30.5% +7.7 12
2015-08-07 @ Sandefjord L 1-2 1362 1362 30.5% 23.2% 46.2% -7.7 16
2015-08-07 Tromso W 1-0 1546 1410 61.9% 21.3% 16.9% +4.9 36
2015-08-07 @ Valerenga L 0-1 1410 1546 16.9% 21.3% 61.9% -4.9 16
2015-08-08 Viking L 0-2 1448 1560 30.8% 23.2% 46.0% -15.5 19
2015-08-08 @ Sarpsborg 08 W 2-0 1560 1448 46.0% 23.2% 30.8% +15.5 34
2015-08-09 Aalesund W 3-1 1438 1442 45.6% 23.2% 31.1% +13.6 24
2015-08-09 @ Haugesund L 1-3 1442 1438 31.1% 23.2% 45.6% -13.6 22
2015-08-09 Molde D 2-2 1558 1607 39.3% 23.4% 37.2% -0.1 29
2015-08-09 @ Odds D 2-2 1607 1558 37.2% 23.4% 39.3% +0.1 26
2015-08-09 Rosenborg L 0-5 1511 1700 22.1% 22.4% 55.5% -27.5 25
2015-08-09 @ Lillestrom W 5-0 1700 1511 55.5% 22.4% 22.1% +27.5 45
2015-08-09 Stabaek L 0-2 1587 1548 51.2% 22.9% 26.0% -23.4 30
2015-08-09 @ Stromsgodset W 2-0 1548 1587 26.0% 22.9% 51.2% +23.4 38
2015-08-09 Start W 5-1 1435 1433 46.5% 23.2% 30.3% +24.3 26
2015-08-09 @ Bodo Glimt L 1-5 1433 1435 30.3% 23.2% 46.5% -24.3 19
2015-08-14 Stromsgodset W 2-1 1428 1563 28.0% 23.1% 49.0% +11.3 25
2015-08-14 @ Aalesund L 1-2 1563 1428 49.0% 23.1% 28.0% -11.3 30
2015-08-15 Bodo Glimt W 2-1 1575 1459 59.9% 21.6% 18.4% +5.0 37
2015-08-15 @ Viking L 1-2 1459 1575 18.4% 21.6% 59.9% -5.0 26
2015-08-15 Sarpsborg 08 D 0-0 1608 1432 65.6% 20.4% 14.1% -3.3 27
2015-08-15 @ Molde D 0-0 1432 1608 14.1% 20.4% 65.6% +3.3 20
2015-08-16 Haugesund W 2-1 1354 1451 32.7% 23.3% 44.0% +10.3 19
2015-08-16 @ Mjondalen L 1-2 1451 1354 44.0% 23.3% 32.7% -10.3 24
2015-08-16 Lillestrom W 3-2 1572 1483 57.0% 22.2% 20.9% +5.3 41
2015-08-16 @ Stabaek L 2-3 1483 1572 20.9% 22.2% 57.0% -5.3 25
2015-08-16 Odds L 0-4 1409 1558 26.4% 22.9% 50.7% -26.0 19
2015-08-16 @ Start W 4-0 1558 1409 50.7% 22.9% 26.4% +26.0 32
2015-08-16 Sandefjord D 1-1 1405 1370 50.8% 22.9% 26.3% -1.3 17
2015-08-16 @ Tromso D 1-1 1370 1405 26.3% 22.9% 50.8% +1.3 13
2015-08-16 Valerenga W 2-0 1728 1551 65.7% 20.3% 14.0% +7.6 48
2015-08-16 @ Rosenborg L 0-2 1551 1728 14.0% 20.3% 65.7% -7.6 36
2015-08-21 Tromso W 1-0 1478 1404 55.3% 22.4% 22.3% +6.3 28
2015-08-21 @ Lillestrom L 0-1 1404 1478 22.3% 22.4% 55.3% -6.3 17
2015-08-22 Stabaek L 2-4 1371 1577 20.5% 22.1% 57.4% -8.5 13
2015-08-22 @ Sandefjord W 4-2 1577 1371 57.4% 22.1% 20.5% +8.5 44
2015-08-23 Aalesund W 3-1 1435 1440 45.6% 23.2% 31.1% +13.6 23
2015-08-23 @ Sarpsborg 08 L 1-3 1440 1435 31.1% 23.2% 45.6% -13.6 25
2015-08-23 Bodo Glimt L 2-4 1441 1454 44.4% 23.3% 32.3% -16.1 24
2015-08-23 @ Haugesund W 4-2 1454 1441 32.3% 23.3% 44.4% +16.1 29
2015-08-23 Mjondalen W 1-0 1735 1364 79.4% 14.9% 5.7% +1.5 51
2015-08-23 @ Rosenborg L 0-1 1364 1735 5.7% 14.9% 79.4% -1.5 19
2015-08-23 Molde L 0-1 1543 1604 37.7% 23.4% 38.9% -9.7 36
2015-08-23 @ Valerenga W 1-0 1604 1543 38.9% 23.4% 37.7% +9.7 30
2015-08-23 Start W 2-1 1552 1383 65.0% 20.5% 14.5% +4.0 33
2015-08-23 @ Stromsgodset L 1-2 1383 1552 14.5% 20.5% 65.0% -3.9 19
2015-08-23 Viking W 1-0 1584 1580 46.6% 23.2% 30.2% +8.1 35
2015-08-23 @ Odds L 0-1 1580 1584 30.2% 23.2% 46.6% -8.1 37
2015-08-28 Valerenga W 2-0 1426 1533 31.4% 23.3% 45.3% +21.1 28
2015-08-28 @ Aalesund L 0-2 1533 1426 45.3% 23.3% 31.4% -21.1 36
2015-08-29 Sandefjord W 2-0 1572 1362 68.5% 19.5% 12.0% +6.5 40
2015-08-29 @ Viking L 0-2 1362 1572 12.0% 19.5% 68.5% -6.5 13
2015-08-30 Haugesund L 1-3 1379 1425 39.9% 23.4% 36.7% -16.5 19
2015-08-30 @ Start W 3-1 1425 1379 36.7% 23.4% 39.9% +16.5 27
2015-08-30 Lillestrom D 2-2 1614 1484 61.3% 21.4% 17.3% -1.9 31
2015-08-30 @ Molde D 2-2 1484 1614 17.3% 21.4% 61.3% +1.8 29
2015-08-30 Odds L 1-2 1586 1592 45.4% 23.3% 31.4% -10.6 44
2015-08-30 @ Stabaek W 2-1 1592 1586 31.4% 23.3% 45.4% +10.6 38
2015-08-30 Rosenborg D 1-1 1398 1737 11.2% 19.1% 69.7% +3.4 18
2015-08-30 @ Tromso D 1-1 1737 1398 69.7% 19.1% 11.2% -3.4 52
2015-08-30 Sarpsborg 08 W 3-1 1471 1449 49.0% 23.1% 27.9% +12.4 32
2015-08-30 @ Bodo Glimt L 1-3 1449 1471 27.9% 23.1% 49.0% -12.4 23
2015-08-30 Stromsgodset L 2-4 1363 1556 21.7% 22.3% 56.0% -9.0 19
2015-08-30 @ Mjondalen W 4-2 1556 1363 56.0% 22.3% 21.7% +8.9 36
2015-09-11 Haugesund W 5-0 1565 1441 60.7% 21.5% 17.8% +22.5 39
2015-09-11 @ Stromsgodset L 0-5 1441 1565 17.8% 21.5% 60.7% -22.5 27
2015-09-12 Molde L 2-4 1356 1612 16.4% 21.1% 62.5% -6.9 13
2015-09-12 @ Sandefjord W 4-2 1612 1356 62.5% 21.1% 16.4% +6.9 34
2015-09-13 Aalesund W 3-1 1486 1447 51.2% 22.9% 25.9% +11.7 32
2015-09-13 @ Lillestrom L 1-3 1447 1486 25.9% 22.9% 51.2% -11.7 28
2015-09-13 Bodo Glimt W 2-1 1602 1483 60.2% 21.6% 18.2% +4.9 41
2015-09-13 @ Odds L 1-2 1483 1602 18.2% 21.6% 60.2% -4.9 32
2015-09-13 Mjondalen D 0-0 1401 1354 52.2% 22.8% 25.0% -1.7 19
2015-09-13 @ Tromso D 0-0 1354 1401 25.0% 22.8% 52.2% +1.6 20
2015-09-13 Stabaek W 1-0 1733 1575 64.0% 20.8% 15.2% +4.4 55
2015-09-13 @ Rosenborg L 0-1 1575 1733 15.2% 20.8% 64.0% -4.4 44
2015-09-13 Start W 3-1 1437 1362 55.4% 22.4% 22.2% +10.2 26
2015-09-13 @ Sarpsborg 08 L 1-3 1362 1437 22.2% 22.4% 55.4% -10.2 19
2015-09-13 Viking L 2-4 1512 1579 36.9% 23.4% 39.7% -13.9 36
2015-09-13 @ Valerenga W 4-2 1579 1512 39.7% 23.4% 36.9% +13.9 43
2015-09-18 Stromsgodset D 1-1 1593 1588 46.9% 23.2% 29.9% -0.9 44
2015-09-18 @ Viking D 1-1 1588 1593 29.9% 23.2% 46.9% +0.9 40
2015-09-19 Lillestrom D 0-0 1352 1498 26.8% 22.9% 50.3% +1.4 20
2015-09-19 @ Start D 0-0 1498 1352 50.3% 22.9% 26.8% -1.4 33
2015-09-19 Tromso W 2-1 1571 1400 65.2% 20.5% 14.4% +3.9 47
2015-09-19 @ Stabaek L 1-2 1400 1571 14.4% 20.5% 65.2% -3.9 19
2015-09-20 Odds L 1-3 1435 1607 23.9% 22.6% 53.5% -10.9 28
2015-09-20 @ Aalesund W 3-1 1607 1435 53.5% 22.6% 23.9% +10.9 44
2015-09-20 Rosenborg W 1-0 1619 1738 29.9% 23.2% 46.9% +11.5 37
2015-09-20 @ Molde L 0-1 1738 1619 46.9% 23.2% 29.9% -11.5 55
2015-09-20 Sandefjord W 2-1 1478 1349 61.2% 21.4% 17.4% +4.7 35
2015-09-20 @ Bodo Glimt L 1-2 1349 1478 17.4% 21.4% 61.2% -4.7 13
2015-09-20 Sarpsborg 08 D 1-1 1419 1447 42.4% 23.4% 34.2% -0.4 28
2015-09-20 @ Haugesund D 1-1 1447 1419 34.2% 23.4% 42.4% +0.4 27
2015-09-20 Valerenga L 0-1 1355 1498 27.1% 23.0% 50.0% -7.4 20
2015-09-20 @ Mjondalen W 1-0 1498 1355 50.0% 23.0% 27.1% +7.4 39
2015-09-23 Molde W 1-0 1589 1630 40.4% 23.4% 36.2% +9.4 43
2015-09-23 @ Stromsgodset L 0-1 1630 1589 36.2% 23.4% 40.4% -9.4 37
2015-09-25 Start D 1-1 1506 1354 63.4% 20.9% 15.7% -2.7 40
2015-09-25 @ Valerenga D 1-1 1354 1506 15.7% 20.9% 63.4% +2.7 21
2015-09-26 Bodo Glimt W 3-1 1598 1483 59.8% 21.7% 18.5% +8.7 46
2015-09-26 @ Stromsgodset L 1-3 1483 1598 18.5% 21.7% 59.8% -8.7 35
2015-09-26 Mjondalen W 3-0 1496 1348 63.1% 21.0% 15.9% +12.6 36
2015-09-26 @ Lillestrom L 0-3 1348 1496 15.9% 21.0% 63.1% -12.6 20
2015-09-27 Aalesund D 1-1 1396 1425 42.3% 23.4% 34.4% -0.4 20
2015-09-27 @ Tromso D 1-1 1425 1396 34.4% 23.4% 42.3% +0.4 29
2015-09-27 Haugesund L 0-1 1344 1418 35.9% 23.4% 40.7% -9.3 13
2015-09-27 @ Sandefjord W 1-0 1418 1344 40.7% 23.4% 35.9% +9.3 31
2015-09-27 Molde W 1-0 1574 1621 39.8% 23.4% 36.8% +9.5 50
2015-09-27 @ Stabaek L 0-1 1621 1574 36.8% 23.4% 39.8% -9.5 37
2015-09-27 Sarpsborg 08 D 1-1 1618 1447 65.2% 20.5% 14.4% -2.9 45
2015-09-27 @ Odds D 1-1 1447 1618 14.4% 20.5% 65.2% +2.9 28
2015-09-27 Viking W 2-0 1726 1592 61.7% 21.3% 17.0% +9.2 58
2015-09-27 @ Rosenborg L 0-2 1592 1726 17.0% 21.3% 61.7% -9.2 44
2015-10-02 Valerenga D 1-1 1474 1503 42.3% 23.4% 34.4% -0.4 36
2015-10-02 @ Bodo Glimt D 1-1 1503 1474 34.4% 23.4% 42.3% +0.4 41
2015-10-03 Stabaek L 1-4 1335 1584 17.0% 21.3% 61.8% -11.3 20
2015-10-03 @ Mjondalen W 4-1 1584 1335 61.8% 21.3% 17.0% +11.3 53
2015-10-03 Stromsgodset L 1-6 1450 1607 25.5% 22.8% 51.6% -25.8 28
2015-10-03 @ Sarpsborg 08 W 6-1 1607 1450 51.6% 22.8% 25.5% +25.8 49
2015-10-04 Lillestrom W 1-0 1583 1509 55.3% 22.4% 22.3% +6.3 47
2015-10-04 @ Viking L 0-1 1509 1583 22.3% 22.4% 55.3% -6.3 36
2015-10-04 Odds L 1-2 1428 1615 22.3% 22.4% 55.3% -5.9 31
2015-10-04 @ Haugesund W 2-1 1615 1428 55.3% 22.4% 22.3% +5.9 48
2015-10-04 Rosenborg L 0-4 1356 1735 9.3% 18.0% 72.7% -9.5 21
2015-10-04 @ Start W 4-0 1735 1356 72.7% 18.0% 9.3% +9.5 61
2015-10-04 Sandefjord W 2-1 1425 1335 57.1% 22.1% 20.7% +5.5 32
2015-10-04 @ Aalesund L 1-2 1335 1425 20.7% 22.1% 57.1% -5.5 13
2015-10-04 Tromso W 4-0 1612 1395 69.0% 19.3% 11.7% +12.0 40
2015-10-04 @ Molde L 0-4 1395 1612 11.7% 19.3% 69.0% -12.0 20
2015-10-16 Odds W 2-1 1632 1621 47.7% 23.1% 29.2% +7.4 52
2015-10-16 @ Stromsgodset L 1-2 1621 1632 29.2% 23.1% 47.7% -7.5 48
2015-10-17 Aalesund L 1-4 1595 1431 64.6% 20.6% 14.8% -35.4 53
2015-10-17 @ Stabaek W 4-1 1431 1595 14.8% 20.6% 64.6% +35.4 35
2015-10-17 Start W 4-1 1329 1347 43.9% 23.3% 32.8% +20.0 16
2015-10-17 @ Sandefjord L 1-4 1347 1329 32.8% 23.3% 43.9% -20.0 21
2015-10-18 Bodo Glimt D 1-1 1745 1474 73.1% 17.8% 9.1% -3.7 62
2015-10-18 @ Rosenborg D 1-1 1474 1745 9.1% 17.8% 73.1% +3.7 37
2015-10-18 Haugesund W 2-0 1503 1422 56.1% 22.3% 21.6% +11.5 39
2015-10-18 @ Lillestrom L 0-2 1422 1503 21.6% 22.3% 56.1% -11.5 31
2015-10-18 Mjondalen W 3-1 1624 1324 75.0% 17.0% 8.0% +3.6 43
2015-10-18 @ Molde L 1-3 1324 1624 8.0% 17.0% 75.0% -3.6 20
2015-10-18 Sarpsborg 08 W 3-1 1503 1424 55.9% 22.3% 21.8% +10.0 44
2015-10-18 @ Valerenga L 1-3 1424 1503 21.8% 22.3% 55.9% -10.0 28
2015-10-18 Viking W 3-1 1383 1589 20.6% 22.1% 57.3% +22.5 23
2015-10-18 @ Tromso L 1-3 1589 1383 57.3% 22.1% 20.6% -22.4 47
2015-10-23 Mjondalen D 1-1 1327 1320 47.0% 23.2% 29.8% -0.9 22
2015-10-23 @ Start D 1-1 1320 1327 29.8% 23.2% 47.0% +0.9 21
2015-10-24 Tromso W 1-0 1414 1406 47.3% 23.2% 29.5% +8.0 31
2015-10-24 @ Sarpsborg 08 L 0-1 1406 1414 29.5% 23.2% 47.3% -8.0 23
2015-10-24 Valerenga L 0-1 1410 1513 31.9% 23.3% 44.8% -8.5 31
2015-10-24 @ Haugesund W 1-0 1513 1410 44.8% 23.3% 31.9% +8.5 47
2015-10-25 Lillestrom L 0-3 1477 1514 41.2% 23.4% 35.4% -28.4 37
2015-10-25 @ Bodo Glimt W 3-0 1514 1477 35.4% 23.4% 41.2% +28.4 42
2015-10-25 Molde L 1-2 1466 1627 25.0% 22.8% 52.2% -6.5 35
2015-10-25 @ Aalesund W 2-1 1627 1466 52.2% 22.8% 25.0% +6.5 46
2015-10-25 Rosenborg D 3-3 1640 1741 32.2% 23.3% 44.5% +0.4 53
2015-10-25 @ Stromsgodset D 3-3 1741 1640 44.5% 23.3% 32.2% -0.4 63
2015-10-25 Sandefjord W 4-3 1614 1349 72.6% 18.0% 9.4% +2.3 51
2015-10-25 @ Odds L 3-4 1349 1614 9.4% 18.0% 72.6% -2.3 16
2015-10-25 Stabaek W 2-1 1567 1560 47.1% 23.2% 29.7% +7.6 50
2015-10-25 @ Viking L 1-2 1560 1567 29.7% 23.2% 47.1% -7.6 53
2015-11-01 Aalesund L 1-2 1321 1459 27.6% 23.0% 49.3% -7.1 21
2015-11-01 @ Mjondalen W 2-1 1459 1321 49.3% 23.0% 27.6% +7.1 38
2015-11-01 Bodo Glimt W 3-1 1398 1449 39.1% 23.4% 37.5% +15.7 26
2015-11-01 @ Tromso L 1-3 1449 1398 37.5% 23.4% 39.1% -15.7 37
2015-11-01 Haugesund W 4-3 1741 1402 77.5% 15.8% 6.6% +1.6 66
2015-11-01 @ Rosenborg L 3-4 1402 1741 6.6% 15.8% 77.5% -1.6 31
2015-11-01 Odds D 2-2 1522 1616 33.1% 23.3% 43.5% +0.4 48
2015-11-01 @ Valerenga D 2-2 1616 1522 43.5% 23.3% 33.1% -0.4 52
2015-11-01 Sarpsborg 08 W 3-1 1543 1422 60.3% 21.6% 18.1% +8.5 45
2015-11-01 @ Lillestrom L 1-3 1422 1543 18.1% 21.6% 60.3% -8.5 31
2015-11-01 Start W 3-2 1552 1326 69.8% 19.1% 11.2% +2.9 56
2015-11-01 @ Stabaek L 2-3 1326 1552 11.2% 19.1% 69.8% -2.9 22
2015-11-01 Stromsgodset L 1-2 1347 1640 13.9% 20.3% 65.9% -3.8 16
2015-11-01 @ Sandefjord W 2-1 1640 1347 65.9% 20.3% 13.9% +3.8 56
2015-11-01 Viking W 4-1 1634 1574 53.7% 22.6% 23.7% +15.3 49
2015-11-01 @ Molde L 1-4 1574 1634 23.7% 22.6% 53.7% -15.3 50
2015-11-08 Lillestrom W 5-0 1616 1551 54.3% 22.5% 23.2% +28.6 55
2015-11-08 @ Odds L 0-5 1551 1616 23.2% 22.5% 54.3% -28.7 45
2015-11-08 Mjondalen W 3-1 1559 1314 71.2% 18.6% 10.3% +4.8 53
2015-11-08 @ Viking L 1-3 1314 1559 10.3% 18.6% 71.2% -4.8 21
2015-11-08 Molde L 0-3 1323 1649 11.9% 19.4% 68.7% -9.4 22
2015-11-08 @ Start W 3-0 1649 1323 68.7% 19.4% 11.9% +9.4 52
2015-11-08 Rosenborg L 0-1 1466 1742 15.0% 20.7% 64.4% -4.3 38
2015-11-08 @ Aalesund W 1-0 1742 1466 64.4% 20.7% 15.0% +4.3 69
2015-11-08 Sandefjord W 2-1 1414 1343 54.9% 22.4% 22.6% +6.0 34
2015-11-08 @ Sarpsborg 08 L 1-2 1343 1414 22.6% 22.4% 54.9% -6.0 16
2015-11-08 Stabaek W 6-1 1433 1555 29.6% 23.2% 47.2% +42.4 40
2015-11-08 @ Bodo Glimt L 1-6 1555 1433 47.2% 23.2% 29.6% -42.4 56
2015-11-08 Tromso L 0-1 1400 1413 44.4% 23.3% 32.3% -11.0 31
2015-11-08 @ Haugesund W 1-0 1413 1400 32.3% 23.3% 44.4% +11.0 29
2015-11-08 Valerenga D 2-2 1644 1522 60.5% 21.5% 18.0% -1.8 57
2015-11-08 @ Stromsgodset D 2-2 1522 1644 18.0% 21.5% 60.5% +1.8 49

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
2015-11-21 Start D 1-1 1425 1314 59.5% 21.7% 18.8% -2.3 0-0-1
2015-11-21 @ Jerv D 1-1 1314 1425 18.8% 21.7% 59.5% +2.3 0-0-1
2015-11-25 Jerv W 3-1 1316 1423 31.4% 23.3% 45.3% +18.3 1-0-1
2015-11-25 @ Start L 1-3 1423 1316 45.3% 23.3% 31.4% -18.3 0-1-1

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 2015-07-10 10.78% Haugesund 1405 1 @ Molde 1639 0
2 2015-07-18 11.96% Bodo Glimt 1412 2 @ Molde 1623 1
3 2015-07-05 12.76% @ Bodo Glimt 1385 1 Rosenborg 1696 0
4 2015-06-28 14.26% Bodo Glimt 1371 2 @ Valerenga 1544 1
5 2015-10-17 14.79% Aalesund 1431 4 @ Stabaek 1595 1
6 2015-07-31 15.63% Haugesund 1422 1 @ Viking 1575 0
7 2015-05-12 17.19% @ Mjondalen 1435 3 Rosenborg 1681 2
8 2015-06-05 18.45% @ Tromso 1420 2 Molde 1650 0
9 2015-10-18 20.56% @ Tromso 1383 3 Viking 1589 1
10 2015-04-30 21.36% Aalesund 1448 2 @ Valerenga 1532 1
11 2015-04-26 22.67% Stabaek 1447 2 @ Lillestrom 1517 0
12 2015-04-07 23.99% Odds 1553 2 @ Molde 1610 1
13 2015-05-04 25.09% @ Viking 1470 2 Molde 1630 1
14 2015-08-09 25.97% Stabaek 1548 2 @ Stromsgodset 1587 0
15 2015-07-05 26.23% Valerenga 1529 2 @ Odds 1565 1
16 2015-04-30 27.38% Viking 1458 2 @ Sandefjord 1485 1
17 2015-08-14 27.98% @ Aalesund 1428 2 Stromsgodset 1563 1
18 2015-05-30 28.22% Start 1431 2 @ Haugesund 1450 0
19 2015-05-09 28.24% Stabaek 1501 2 @ Valerenga 1520 0
20 2015-05-13 28.44% @ Lillestrom 1503 2 Molde 1634 1
21 2015-04-06 28.47% Sarpsborg 08 1462 1 @ Tromso 1479 0
22 2015-04-26 28.53% Tromso 1454 2 @ Aalesund 1471 0
23 2015-11-08 29.58% @ Bodo Glimt 1433 6 Stabaek 1555 1
24 2015-05-31 29.78% Valerenga 1539 4 @ Viking 1545 3
25 2015-09-20 29.95% @ Molde 1619 1 Rosenborg 1738 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 2015-08-02 47.71 Stromsgodset 6 1539 41.73% @ Tromso 0 1458 34.88% 23.39%
2 2015-11-08 42.36 @ Bodo Glimt 6 1433 29.58% Stabaek 1 1555 47.25% 23.17%
3 2015-04-12 41.24 Rosenborg 6 1603 47.78% @ Haugesund 0 1477 29.09% 23.13%
4 2015-05-24 40.03 @ Haugesund 4 1410 31.47% Stromsgodset 0 1517 45.26% 23.27%
5 2015-05-25 37.83 Viking 4 1507 34.39% @ Aalesund 0 1478 42.23% 23.38%
6 2015-10-17 35.36 Aalesund 4 1431 14.79% @ Stabaek 1 1595 64.60% 20.61%
7 2015-04-06 29.46 @ Rosenborg 5 1573 53.43% Aalesund 0 1516 23.94% 22.63%
8 2015-05-31 28.97 @ Bodo Glimt 5 1367 38.67% Mjondalen 1 1421 37.91% 23.43%
9 2015-11-08 28.66 @ Odds 5 1616 54.28% Lillestrom 0 1551 23.19% 22.53%
10 2015-10-25 28.38 Lillestrom 3 1514 35.43% @ Bodo Glimt 0 1477 41.17% 23.40%
11 2015-08-09 27.47 Rosenborg 5 1700 55.53% @ Lillestrom 0 1511 22.11% 22.36%
12 2015-06-05 26.96 @ Tromso 2 1420 18.45% Molde 0 1650 59.89% 21.66%
13 2015-08-16 25.98 Odds 4 1558 50.71% @ Start 0 1409 26.38% 22.91%
14 2015-10-03 25.79 Stromsgodset 6 1607 51.64% @ Sarpsborg 08 1 1450 25.54% 22.82%
15 2015-07-24 25.49 Viking 3 1550 40.74% @ Start 0 1475 35.85% 23.41%
16 2015-07-04 25.46 @ Start 4 1458 32.23% Stabaek 1 1559 44.47% 23.31%
17 2015-04-26 24.92 Stabaek 2 1447 22.67% @ Lillestrom 0 1517 54.88% 22.45%
18 2015-08-09 24.28 @ Bodo Glimt 5 1435 46.48% Start 1 1433 30.31% 23.21%
19 2015-04-30 24.13 Lillestrom 4 1492 35.02% @ Mjondalen 1 1458 41.58% 23.39%
20 2015-05-25 23.53 Valerenga 3 1515 44.30% @ Sandefjord 0 1415 32.38% 23.31%
21 2015-08-09 23.42 Stabaek 2 1548 25.97% @ Stromsgodset 0 1587 51.16% 22.87%
22 2015-09-11 22.54 @ Stromsgodset 5 1565 60.69% Haugesund 0 1441 17.81% 21.50%
23 2015-10-18 22.45 @ Tromso 3 1383 20.56% Viking 1 1589 57.34% 22.10%
24 2015-05-09 22.44 Stabaek 2 1501 28.24% @ Valerenga 0 1520 48.69% 23.07%
25 2015-05-30 22.44 Start 2 1431 28.22% @ Haugesund 0 1450 48.71% 23.07%