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2016 Tippeligaen Season

240 games

Final

Champion

Rosenborg

69 points

Relegated

No relegation

Biggest Overachiever

Brann

15.67 points above expected

54 points · 38.33 expected points

Biggest Disappointment

Start

8.20 points below expected

16 points · 24.20 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 65 25 +40 62.61 +6.39
2 Brann 30 16 6 8 54 42 27 +15 38.33 +15.67
3 Odds 30 15 6 9 51 44 35 +9 52.05 -1.05
4 Haugesund 30 12 10 8 46 47 43 +4 37.45 +8.55
5 Molde 30 13 6 11 45 48 42 +6 49.92 -4.92
6 Sarpsborg 08 30 12 9 9 45 35 37 -2 37.60 +7.40
7 Stromsgodset 30 12 8 10 44 44 40 +4 49.53 -5.53
8 Viking 30 12 7 11 43 33 35 -2 44.43 -1.43
9 Aalesund 30 12 6 12 42 46 51 -5 35.14 +6.86
10 Valerenga 30 10 8 12 38 41 39 +2 40.05 -2.05
11 Sogndal 30 8 12 10 36 33 37 -4 37.65 -1.65
12 Lillestrom 30 8 10 12 34 45 50 -5 41.03 -7.03
13 Tromso 30 9 7 14 34 36 46 -10 34.56 -0.56
14 Stabaek 30 8 7 15 31 35 42 -7 37.96 -6.96
15 Bodo Glimt 30 8 6 16 30 36 45 -9 36.68 -6.68
16 Start 30 2 10 18 16 23 59 -36 24.20 -8.20

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 1814 69 62.61 +6.39 85.5% 37 52 58 63 67 73 85
Odds 1667 51 52.05 -1.05 47.1% 27 41 47 52 57 63 75
Molde 1665 45 49.92 -4.92 26.4% 26 39 45 50 55 61 77
Stromsgodset 1653 44 49.53 -5.53 22.8% 24 38 45 50 54 61 74
Valerenga 1635 38 40.05 -2.05 41.4% 16 29 35 40 45 51 66
Brann 1628 54 38.33 +15.67 99.0% 15 27 34 38 43 49 65
Viking 1604 43 44.43 -1.43 45.0% 20 33 40 44 49 56 70
Lillestrom 1579 34 41.03 -7.03 17.6% 19 30 36 41 46 52 67
Haugesund 1579 46 37.45 +8.55 91.0% 13 26 33 37 42 49 65
Sarpsborg 08 1576 45 37.60 +7.40 88.3% 15 27 33 38 42 49 63
Aalesund 1575 42 35.14 +6.86 86.1% 12 24 30 35 40 46 65
Stabaek 1560 31 37.96 -6.96 17.1% 15 27 33 38 42 49 66
Sogndal 1557 36 37.65 -1.65 44.0% 16 27 33 37 42 49 61
Tromso 1536 34 34.56 -0.56 50.3% 11 24 30 34 39 46 63
Bodo Glimt 1520 30 36.68 -6.68 18.1% 14 26 32 36 41 48 61
Start 1381 16 24.20 -8.20 9.7% 6 14 20 24 28 34 54

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 BRA HAU LIL MOL ODD ROS S0 SOG STA STA STR TRO VAL VIK
Aalesund —
2-0-0
2.67
0-0-2
2.75
0-1-1
2.83
1-1-0
2.09
0-0-2
1.92
1-0-1
1.72
0-1-1
1.25
0-1-1
2.27
1-0-1
2.80
1-0-1
2.48
1-1-0
3.49
1-0-1
1.74
2-0-0
2.58
1-1-0
2.31
1-0-1
2.14
Bodo Glimt
0-0-2
2.79
 —
0-0-2
2.79
0-0-2
2.79
0-2-0
2.49
0-0-2
1.97
1-0-1
1.66
0-1-1
1.12
1-0-1
2.55
1-1-0
2.77
1-0-1
2.64
2-0-0
3.68
1-0-1
1.98
1-0-1
3.01
0-2-0
2.31
0-0-2
2.16
Brann
2-0-0
2.72
2-0-0
2.66
 —
1-0-1
2.72
0-0-2
2.68
1-0-1
2.09
1-1-0
1.72
0-1-1
1.35
1-0-1
2.83
1-1-0
2.85
1-1-0
2.69
2-0-0
3.89
1-1-0
1.93
1-0-1
3.10
1-0-1
2.67
1-1-0
2.36
Haugesund
1-1-0
2.62
2-0-0
2.69
1-0-1
2.73
 —
0-2-0
2.42
0-2-0
1.89
1-0-1
1.86
0-1-1
1.38
1-1-0
2.68
0-0-2
2.70
2-0-0
2.65
1-0-1
4.03
0-1-1
2.04
1-1-0
2.98
1-1-0
2.53
1-0-1
2.26
Lillestrom
0-1-1
3.39
0-2-0
2.96
2-0-0
2.81
0-2-0
3.04
 —
1-0-1
2.01
1-0-1
2.03
0-0-2
1.46
1-0-1
3.08
0-1-1
2.95
1-0-1
2.87
0-2-0
3.76
1-0-1
2.08
0-0-2
3.12
1-1-0
2.73
0-1-1
2.66
Molde
2-0-0
3.57
2-0-0
3.51
1-0-1
3.41
0-2-0
3.60
1-0-1
3.48
 —
1-0-1
2.61
0-0-2
1.78
0-0-2
3.73
0-1-1
3.49
2-0-0
3.49
0-2-0
4.30
2-0-0
2.70
1-1-0
3.61
1-0-1
3.51
0-0-2
3.17
Odds
1-0-1
3.80
1-0-1
3.86
0-1-1
3.78
1-0-1
3.63
1-0-1
3.45
1-0-1
2.85
 —
2-0-0
1.95
0-2-0
3.67
2-0-0
3.68
1-0-1
3.67
2-0-0
4.40
1-1-0
2.84
0-1-1
3.83
1-0-1
3.50
1-1-0
3.18
Rosenborg
1-1-0
4.33
1-1-0
4.49
1-1-0
4.21
1-1-0
4.17
2-0-0
4.08
2-0-0
3.72
0-0-2
3.57
 —
1-1-0
4.38
1-1-0
4.35
2-0-0
4.35
2-0-0
4.93
1-0-1
3.72
2-0-0
4.34
2-0-0
4.07
2-0-0
3.90
Sarpsborg 08
1-1-0
3.20
1-0-1
2.92
1-0-1
2.64
0-1-1
2.79
1-0-1
2.39
2-0-0
1.76
0-2-0
1.83
0-1-1
1.21
 —
0-1-1
2.77
1-1-0
2.50
2-0-0
3.47
1-0-1
2.01
1-1-0
3.09
0-0-2
2.83
1-1-0
2.16
Sogndal
1-0-1
2.66
0-1-1
2.70
0-1-1
2.60
2-0-0
2.76
1-1-0
2.51
1-1-0
2.00
0-0-2
1.82
0-1-1
1.23
1-1-0
2.69
 —
1-1-0
2.75
0-2-0
3.79
0-0-2
2.22
0-1-1
3.01
1-1-0
2.61
0-1-1
2.36
Stabaek
1-0-1
2.98
1-0-1
2.83
0-1-1
2.77
0-0-2
2.80
1-0-1
2.61
0-0-2
1.99
1-0-1
1.82
0-0-2
1.24
0-1-1
2.96
0-1-1
2.71
 —
2-0-0
3.55
0-1-1
1.96
0-1-1
3.02
1-1-0
2.61
1-1-0
2.18
Start
0-1-1
1.99
0-0-2
1.82
0-0-2
1.63
1-0-1
1.50
0-2-0
1.76
0-2-0
1.28
0-0-2
1.19
0-0-2
0.77
0-0-2
2.05
0-2-0
1.72
0-0-2
1.95
 —
0-2-0
1.22
1-1-0
1.89
0-0-2
1.80
0-0-2
1.55
Stromsgodset
1-0-1
3.77
1-0-1
3.50
0-1-1
3.58
1-1-0
3.45
1-0-1
3.39
0-0-2
2.77
0-1-1
2.61
1-0-1
1.78
1-0-1
3.47
2-0-0
3.26
1-1-0
3.53
0-2-0
4.38
 —
1-0-1
3.79
1-1-0
3.26
1-1-0
2.99
Tromso
0-0-2
2.89
1-0-1
2.45
1-0-1
2.37
0-1-1
2.48
2-0-0
2.36
0-1-1
1.89
1-1-0
1.68
0-0-2
1.25
0-1-1
2.38
1-1-0
2.46
1-1-0
2.45
0-1-1
3.59
1-0-1
1.73
 —
0-0-2
2.47
1-0-1
2.08
Valerenga
0-1-1
3.16
0-2-0
3.16
1-0-1
2.78
0-1-1
2.93
0-1-1
2.75
1-0-1
1.98
1-0-1
1.98
0-0-2
1.48
2-0-0
2.63
0-1-1
2.84
0-1-1
2.86
2-0-0
3.70
0-1-1
2.22
2-0-0
2.98
 —
1-0-1
2.63
Viking
1-0-1
3.33
2-0-0
3.31
0-1-1
3.12
1-0-1
3.21
1-1-0
2.81
2-0-0
2.29
0-1-1
2.30
0-0-2
1.61
0-1-1
3.33
1-1-0
3.11
0-1-1
3.29
2-0-0
4.00
0-1-1
2.47
1-0-1
3.40
1-0-1
2.83
 —

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 0.68 +10.5
Allowed 0.69 -11.4
Differential 0.92 +7.4

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%9.38%6.46%2.71%1.25%0.83%26.88%
19.38%11.67%7.71%3.12%1.46%—33.33%
26.46%7.71%7.08%1.25%2.08%0.21%24.79%
32.71%3.12%1.25%0.83%0.62%—8.54%
41.25%1.46%2.08%0.62%——5.42%
5+0.83%—0.21%———1.04%
Total26.88%33.33%24.79%8.54%5.42%1.04%100%

Summary Statistics

Scored Allowed Difference
Mean 1.36 1.36 +0.00
SD 1.20 1.20 1.75
CV 0.88 0.88 —
Max 6 6 +6
Min 0 0 -6

Games Played: 240

↓ Scored | Allowed →012345+Total
0—10.00%3.33%6.67%—3.33%23.33%
116.67%10.00%6.67%—6.67%—40.00%
23.33%3.33%6.67%—3.33%—16.67%
3——3.33%3.33%——6.67%
4—3.33%6.67%———10.00%
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 1.70 -0.17
SD 1.48 1.49 2.26
CV 0.96 0.88 —
Max 6 6 +6
Min 0 0 -6

Games Played: 30

↓ Scored | Allowed →012345+Total
06.67%13.33%13.33%3.33%——36.67%
1—10.00%13.33%3.33%——26.67%
26.67%10.00%3.33%3.33%——23.33%
3—3.33%——3.33%—6.67%
4—3.33%3.33%———6.67%
5+———————
Total13.33%40.00%33.33%10.00%3.33%—100%

Summary Statistics

Scored Allowed Difference
Mean 1.20 1.50 -0.30
SD 1.21 0.97 1.49
CV 1.01 0.65 —
Max 4 4 +3
Min 0 0 -3

Games Played: 30

↓ Scored | Allowed →012345+Total
010.00%10.00%3.33%3.33%——26.67%
123.33%6.67%3.33%———33.33%
23.33%13.33%3.33%6.67%——26.67%
3—6.67%————6.67%
4—3.33%————3.33%
5+3.33%—————3.33%
Total40.00%40.00%10.00%10.00%——100%

Summary Statistics

Scored Allowed Difference
Mean 1.40 0.90 +0.50
SD 1.35 0.96 1.66
CV 0.97 1.07 —
Max 6 3 +6
Min 0 0 -3

Games Played: 30

↓ Scored | Allowed →012345+Total
03.33%13.33%3.33%——3.33%23.33%
110.00%16.67%3.33%———30.00%
2—10.00%6.67%3.33%——20.00%
33.33%6.67%3.33%6.67%——20.00%
4—3.33%—3.33%——6.67%
5+———————
Total16.67%50.00%16.67%13.33%—3.33%100%

Summary Statistics

Scored Allowed Difference
Mean 1.57 1.43 +0.13
SD 1.25 1.25 1.66
CV 0.80 0.87 —
Max 4 6 +3
Min 0 0 -6

Games Played: 30

↓ Scored | Allowed →012345+Total
0——3.33%3.33%——6.67%
16.67%23.33%16.67%3.33%——50.00%
26.67%6.67%10.00%—10.00%—33.33%
3—3.33%——3.33%—6.67%
43.33%—————3.33%
5+———————
Total16.67%33.33%30.00%6.67%13.33%—100%

Summary Statistics

Scored Allowed Difference
Mean 1.50 1.67 -0.17
SD 0.86 1.24 1.51
CV 0.57 0.74 —
Max 4 4 +4
Min 0 0 -3

Games Played: 30

↓ Scored | Allowed →012345+Total
06.67%13.33%3.33%3.33%3.33%—30.00%
13.33%6.67%3.33%6.67%——20.00%
213.33%6.67%3.33%———23.33%
33.33%—3.33%3.33%3.33%—13.33%
43.33%—10.00%———13.33%
5+———————
Total30.00%26.67%23.33%13.33%6.67%—100%

Summary Statistics

Scored Allowed Difference
Mean 1.60 1.40 +0.20
SD 1.40 1.25 1.85
CV 0.88 0.89 —
Max 4 4 +4
Min 0 0 -4

Games Played: 30

↓ Scored | Allowed →012345+Total
013.33%6.67%————20.00%
110.00%3.33%6.67%13.33%——33.33%
26.67%20.00%3.33%—3.33%—33.33%
33.33%3.33%————6.67%
4—3.33%3.33%———6.67%
5+———————
Total33.33%36.67%13.33%13.33%3.33%—100%

Summary Statistics

Scored Allowed Difference
Mean 1.47 1.17 +0.30
SD 1.11 1.15 1.49
CV 0.75 0.98 —
Max 4 4 +3
Min 0 0 -2

Games Played: 30

↓ Scored | Allowed →012345+Total
03.33%3.33%3.33%———10.00%
16.67%13.33%3.33%———23.33%
216.67%10.00%3.33%———30.00%
33.33%20.00%————23.33%
43.33%——3.33%——6.67%
5+3.33%—3.33%———6.67%
Total36.67%46.67%13.33%3.33%——100%

Summary Statistics

Scored Allowed Difference
Mean 2.17 0.83 +1.33
SD 1.42 0.79 1.58
CV 0.65 0.95 —
Max 6 3 +6
Min 0 0 -2

Games Played: 30

↓ Scored | Allowed →012345+Total
013.33%3.33%3.33%6.67%6.67%—33.33%
120.00%6.67%6.67%———33.33%
23.33%6.67%10.00%——3.33%23.33%
33.33%—————3.33%
43.33%3.33%————6.67%
5+———————
Total43.33%20.00%20.00%6.67%6.67%3.33%100%

Summary Statistics

Scored Allowed Difference
Mean 1.17 1.23 -0.07
SD 1.15 1.43 1.96
CV 0.98 1.16 —
Max 4 5 +4
Min 0 0 -4

Games Played: 30

↓ Scored | Allowed →012345+Total
016.67%6.67%10.00%———33.33%
113.33%13.33%6.67%6.67%——40.00%
2—3.33%10.00%—3.33%—16.67%
33.33%—————3.33%
4—3.33%—3.33%——6.67%
5+———————
Total33.33%26.67%26.67%10.00%3.33%—100%

Summary Statistics

Scored Allowed Difference
Mean 1.10 1.23 -0.13
SD 1.12 1.14 1.33
CV 1.02 0.92 —
Max 4 4 +3
Min 0 0 -2

Games Played: 30

↓ Scored | Allowed →012345+Total
0—16.67%3.33%6.67%——26.67%
110.00%13.33%13.33%10.00%——46.67%
2—6.67%10.00%———16.67%
36.67%—————6.67%
4———————
5+3.33%—————3.33%
Total20.00%36.67%26.67%16.67%——100%

Summary Statistics

Scored Allowed Difference
Mean 1.17 1.40 -0.23
SD 1.12 1.00 1.76
CV 0.96 0.72 —
Max 5 3 +5
Min 0 0 -3

Games Played: 30

↓ Scored | Allowed →012345+Total
03.33%10.00%16.67%6.67%—3.33%40.00%
13.33%20.00%10.00%—10.00%—43.33%
2—3.33%10.00%—3.33%—16.67%
3———————
4———————
5+———————
Total6.67%33.33%36.67%6.67%13.33%3.33%100%

Summary Statistics

Scored Allowed Difference
Mean 0.77 1.97 -1.20
SD 0.73 1.25 1.42
CV 0.95 0.63 —
Max 2 5 +1
Min 0 0 -5

Games Played: 30

↓ Scored | Allowed →012345+Total
0—10.00%10.00%———20.00%
113.33%16.67%3.33%———33.33%
210.00%3.33%10.00%—10.00%—33.33%
3—3.33%3.33%———6.67%
43.33%—3.33%———6.67%
5+———————
Total26.67%33.33%30.00%—10.00%—100%

Summary Statistics

Scored Allowed Difference
Mean 1.47 1.33 +0.13
SD 1.11 1.18 1.55
CV 0.75 0.89 —
Max 4 4 +4
Min 0 0 -2

Games Played: 30

↓ Scored | Allowed →012345+Total
010.00%6.67%6.67%3.33%3.33%3.33%33.33%
13.33%3.33%20.00%3.33%——30.00%
26.67%6.67%10.00%———23.33%
36.67%3.33%————10.00%
4——3.33%———3.33%
5+———————
Total26.67%20.00%40.00%6.67%3.33%3.33%100%

Summary Statistics

Scored Allowed Difference
Mean 1.20 1.53 -0.33
SD 1.13 1.36 1.99
CV 0.94 0.89 —
Max 4 6 +3
Min 0 0 -6

Games Played: 30

↓ Scored | Allowed →012345+Total
03.33%13.33%10.00%—3.33%—30.00%
1—20.00%3.33%3.33%3.33%—30.00%
210.00%3.33%3.33%3.33%——20.00%
310.00%—3.33%———13.33%
43.33%—3.33%———6.67%
5+———————
Total26.67%36.67%23.33%6.67%6.67%—100%

Summary Statistics

Scored Allowed Difference
Mean 1.37 1.30 +0.07
SD 1.25 1.15 1.93
CV 0.91 0.88 —
Max 4 4 +4
Min 0 0 -4

Games Played: 30

↓ Scored | Allowed →012345+Total
010.00%13.33%10.00%—3.33%—36.67%
110.00%3.33%3.33%—3.33%—20.00%
216.67%10.00%10.00%3.33%——40.00%
3——3.33%———3.33%
4———————
5+———————
Total36.67%26.67%26.67%3.33%6.67%—100%

Summary Statistics

Scored Allowed Difference
Mean 1.10 1.17 -0.07
SD 0.96 1.18 1.55
CV 0.87 1.01 —
Max 3 4 +2
Min 0 0 -4

Games Played: 30

Home-Field Advantage Edge

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

Top Overachievers & Disappointments

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

Biggest Overachievers

# Team Actual Sim vsSim
1 Brann 54 38.33 +15.67
2 Haugesund 46 37.45 +8.55
3 Sarpsborg 08 45 37.60 +7.40
4 Aalesund 42 35.14 +6.86
5 Rosenborg 69 62.61 +6.39

Biggest Disappointments

# Team Actual Sim vsSim
1 Start 16 24.20 -8.20
2 Lillestrom 34 41.03 -7.03
3 Stabaek 31 37.96 -6.96
4 Bodo Glimt 30 36.68 -6.68
5 Stromsgodset 44 49.53 -5.53

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 Aalesund 6 Sep 9 – Oct 21 1 in 1,629
2 Valerenga 4 Jul 24 – Aug 13 1 in 56
3 Sarpsborg 08 3 Apr 21 – May 2 1 in 49
4 Molde 4 Aug 6 – Aug 27 1 in 38
5 Brann 3 Jul 22 – Aug 7 1 in 36

Most Unlikely Losing Streaks

# Team Games Dates Probability
1 Bodo Glimt 6 Apr 10 – May 8 1 in 278
2 Lillestrom 3 Jul 1 – Jul 17 1 in 59
3 Tromso 4 Sep 25 – Oct 23 1 in 54
4 Valerenga 4 Mar 14 – Apr 9 1 in 37
5 Aalesund 4 Mar 19 – Apr 17 1 in 36

Most Unlikely Unbeaten Streaks

# Team Games Dates Probability
1 Sogndal 11 May 1 – Jul 31 1 in 343
2 Aalesund 9 Aug 26 – Nov 6 1 in 145
3 Rosenborg 26 Mar 19 – Oct 15 1 in 81
4 Valerenga 9 Jul 15 – Sep 16 1 in 60
5 Haugesund 6 Aug 7 – Sep 16 1 in 21

Most Unlikely Winless Streaks

# Team Games Dates Probability
1 Stromsgodset 11 Jul 24 – Oct 14 1 in 1,517
2 Start 24 Mar 13 – Sep 18 1 in 223
3 Molde 6 May 28 – Aug 1 1 in 61
4 Lillestrom 8 Jul 31 – Sep 25 1 in 27
5 Bodo Glimt 7 Apr 10 – May 11 1 in 20

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
Rosenborg75.97%15.30%5.47%1.71%0.90%0.35%0.17%0.06%0.02%0.03%0.02%—————
Brann0.27%1.34%2.83%4.65%6.57%7.60%8.47%9.12%8.84%9.16%9.14%8.31%8.17%7.73%5.71%2.09%
Odds10.25%29.23%20.39%14.35%9.42%6.03%3.48%2.60%1.52%1.15%0.68%0.48%0.27%0.11%0.04%—
Haugesund0.17%0.90%1.88%3.69%4.96%6.96%7.18%8.92%9.11%9.24%8.95%9.30%9.44%8.61%7.71%2.98%
Molde5.60%20.15%20.94%16.50%10.79%7.97%5.89%3.86%2.66%2.10%1.45%0.98%0.72%0.25%0.10%0.04%
Sarpsborg 080.14%0.73%1.95%3.28%4.83%6.50%8.23%8.59%9.28%9.61%9.45%9.16%9.19%8.61%7.44%3.01%
Stromsgodset5.19%18.53%20.28%16.55%12.06%8.21%5.97%4.18%3.00%2.27%1.44%1.03%0.71%0.35%0.19%0.04%
Viking1.33%6.12%9.75%12.40%12.92%11.32%9.49%8.96%7.10%5.72%4.66%3.73%2.68%2.12%1.34%0.36%
Aalesund0.04%0.37%0.88%2.00%2.98%4.52%5.25%6.22%7.10%7.70%9.18%10.23%11.79%12.36%13.52%5.86%
Valerenga0.23%2.25%4.05%6.06%8.35%9.07%9.28%9.43%9.05%8.50%8.21%7.51%6.53%5.86%4.37%1.25%
Sogndal0.15%0.77%2.24%3.44%5.10%6.69%7.79%7.54%8.88%8.98%9.67%10.09%9.28%8.74%7.54%3.10%
Lillestrom0.38%2.61%4.63%7.65%9.15%9.16%10.56%9.12%8.66%8.08%7.95%6.73%5.63%5.11%3.53%1.05%
Tromso0.05%0.27%0.78%1.40%2.24%3.46%4.42%5.53%7.03%7.95%9.33%10.11%11.95%13.44%15.08%6.96%
Stabaek0.15%0.84%2.28%3.65%5.68%6.61%7.49%7.85%9.01%9.67%9.37%9.54%9.32%8.53%7.26%2.75%
Bodo Glimt0.07%0.59%1.64%2.65%3.96%5.41%6.16%7.64%8.17%8.92%9.25%10.38%10.33%10.90%9.91%4.02%
Start0.01%—0.01%0.02%0.09%0.14%0.17%0.38%0.57%0.92%1.25%2.42%3.99%7.28%16.26%66.49%

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
+15.83%
Clear Edge
45.00%25.83%29.17%
Elo Value
Home Edge: 55.48 Elo pts.
224 Elo
0.004 goals per Elo point
0600
Scoring Tilt
Expected
+0.40 goals
Neutral
-2+0.25+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
1.7
One-Team Race
124610
Champion Preseason Odds
76%
Rosenborg, 1st of 16
LongshotFavorite
Title Margin
Expected
0.50/gm
Comfortable
00.260.8/gm

Simulation-Based Surprises

How these are measured

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

Luck Spread
Standard deviation of the gap between each team's actual points and their simulated average points. The gold line is the spread the model expected from chance alone.
As Expected: under 5.38 * Some Luck: 5.38 to 8.07 * Lucky: 8.07 to 10.76 * Wild Swing: 10.76 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 2.08 * Close: 2.08 to 3.12 * Off: 3.12 to 4.16 * Way Off: 4.16 and up.
Biggest Overachiever
The team that finished highest inside its own range of simulated outcomes. The gold line is where the top team in a league of 16 typically lands.
Biggest Underachiever
The team that finished lowest inside its own range of simulated outcomes. The gold line is where the bottom team in a league of 16 typically lands.
Season Outliers
Number of teams that finished above the 95th or below the 5th percentile of their own simulated range. Even a well-calibrated model expects about 10% of teams in the extremes.
Minimal Outliers: under 16 * As Expected: 16 to 25.6 * Several Outliers: 25.6 to 35.2 * Many Outliers: 35.2 and up.
Luck Spread
Expected
6.78 points
Some Luck
06.7317
Average Finish Error
Expected
3.25
Off
02.606
Biggest Overachiever
Expected 96.88%
98.98%
Brann
50100
Biggest Underachiever
Expected 3.12%
9.72%
Start
050
Season Outliers
Expected
1 of 16
Minimal Outliers
01.68

Parity

How these are measured

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

Gini Index
How evenly points were spread across the league. Lower means a tight, balanced table; higher means a few teams ran off with most of the points.
Balanced: under 0.12 * Even: 0.12 to 0.18 * Top-Heavy: 0.18 to 0.26 * Lopsided: 0.26 and up.
Noll-Scully
How much more spread out the table was than a league where every match is a coin flip. The gold line at 1 is that coin-flip baseline. Above it, real talent gaps stretched the table; below it, the league was tighter than luck alone would produce.
Coin-Flip Parity: under 1 * Moderate Separation: 1 to 1.6 * Strong Separation: 1.6 to 2.2 * Wide Separation: 2.2 and up.
Interquartile Edge
Chance the team at the 75th percentile of Elo would beat the team at the 25th percentile on a neutral field. Higher means a bigger gap between the upper and lower half of the table.
Even: under 60% * Slight Edge: 60% to 70% * Clear Edge: 70% to 80% * Wide Edge: 80% and up.
Best vs. Worst
Chance the top-rated team would beat the bottom-rated team on a neutral field. The gold line is how large that gap tends to be in a league of this size; a dot to the right flags an unusually dominant or unusually weak team.
Even: under 70% * Clear Edge: 70% to 82% * Strong Edge: 82% to 92% * Dominant: 92% and up.
Close Games
Share of matches decided by 1 goal or fewer, draws included. The gold line is how many close games the matchups and the scoring value of an Elo point predict.
Few: under 30% * Some Drama: 30% to 40% * Frequent: 40% to 50% * Very Frequent: 50% and up.
Blowouts
Share of matches decided by 3 goals or more. The gold line is how many routs the matchups and the scoring model predict.
Rare: under 8% * Occasional: 8% to 14% * Frequent: 14% to 22% * Very Frequent: 22% and up.
Gini Index
0.15
Even
00.120.180.260.5
Noll-Scully
Coin-flip
1.44
Moderate Separation
01.003
Interquartile Edge
62%
Slight Edge
50%60%70%80%100%
Best vs. Worst
Baseline
92%
Dominant
50%87%100%
Close Games
Expected
64%
Very Frequent
0%61%100%
Blowouts
Expected
13%
Occasional
0%15%100%

Predictability

How these are measured

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

Brier Score
How close the pregame probabilities landed to the actual result, averaged over the season. Confident, correct calls are rewarded most; confident misses are punished most. Lower is better; since draws are possible, a score under 0.66 beats guessing the base rate.
Highly Predictable: under 0.56 * Predictable: 0.56 to 0.62 * Hard to Predict: 0.62 to 0.66 * Coin-Flip: 0.66 and up.
Matchup Imbalance
How lopsided the matchups were on paper, averaging the gap between the two win probabilities over their sum. 0 means every match was a toss-up; 1 means every match was a heavy favorite against a big underdog.
Very Even: under 0.1 * Slight Separation: 0.1 to 0.18 * Notable Separation: 0.18 to 0.28 * Lopsided: 0.28 and up.
Strangeness
How wild the final table was versus what the model expected. A value of 1 means teams landed about one standard deviation from their projections on average. Above 1 is a stranger season; below 1 hugged the projections.
Very Predictable: under 0.8 * As Expected: 0.8 to 1.1 * Wilder Than Modeled: 1.1 to 1.4 * Chaotic: 1.4 and up.
Repeatability
How closely the final table order matched the preseason Elo order, by Spearman rank correlation. Higher means last season's ratings strongly predicted this season's finish. Shows N/A for an inaugural season.
Weak Carryover: under 0.3 * Some Carryover: 0.3 to 0.6 * Strong Carryover: 0.6 to 0.85 * Near-Lock: 0.85 and up.
Upset Rate
Share of matches the underdog won. The gold line is how often the model expected underdogs to win; a dot to the right means upsets ran hotter than expected.
Chalky: under 25% * As Expected: 25% to 33% * Upset-Prone: 33% to 42% * Very Upset-Prone: 42% and up.
Clear Favorite Upset Rate
Share of matches the underdog won, counting only games with a clear favorite (at least 60% likely to win once a draw is set aside). The gold line is how often the model expected these favorites to slip.
Solid Favorites: under 15% * As Expected: 15% to 25% * Shaky Favorites: 25% to 35% * Very Shaky: 35% and up.
Brier Score
Expected
0.63
Hard to Predict
00.612
Matchup Imbalance
0.33
Lopsided
00.10.180.280.5
Strangeness
Expected
1.03
As Expected
01.002
Repeatability
0.30
Some Carryover
00.30.60.851
Upset Rate
Expected
29%
As Expected
0%25%50%
Clear Favorite Upset Rate
Expected
26%
Shaky Favorites
0%21%50%

Calibration

How these are measured

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

Probability calibration
An all-in-one chi-square test of the model's probabilities. Matches are grouped by how confident the model was, and within each group the predicted and actual counts of home wins, draws, and away wins are compared. The p-value is plotted; above 0.05 means well-calibrated.
Miscalibrated: under 0.05 * Borderline: 0.05 to 0.1 * Well Calibrated: 0.1 to 0.5 * Excellent: 0.5 and up.
Calibration slope
Checks whether the spread of the probabilities is right. Each probability is turned into log-odds and a line is fit predicting the actual results. A slope of 1.00 is perfect; below 1 is overconfidence (favorites lost more than their odds implied); above 1 is under-confidence.
Overconfident: under 0.85 * Calibrated: 0.85 to 1.15 * Underconfident: 1.15 to 1.3 * Very Underconfident: 1.3 and up.
Calibration error (ECE)
The average gap between the model's stated chances and how often the predicted result actually happened. Smaller is better. The gold line is the noise ceiling, the error luck alone can produce even with perfect probabilities; below it, the model's error is no larger than chance.
Well Within Noise: under 0.11 * Near Noise Ceiling: 0.11 to 0.17 * Above Noise: 0.17 to 0.22 * Well Above Noise: 0.22 and up.
Probability calibration
0.09
Borderline
0.010.050.10.51
Calibration slope
Ideal
0.80
Overconfident
0.51.001.5
Calibration error (ECE)
Noise ceiling
0.103
Well Within Noise
00.1120.25

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% — —
Odds 99.85% 0.11% 0.04%
Molde 99.61% 0.25% 0.14%
Stromsgodset 99.42% 0.35% 0.23%
Viking 96.18% 2.12% 1.70%
Lillestrom 90.31% 5.11% 4.58%
Valerenga 88.52% 5.86% 5.62%
Brann 84.47% 7.73% 7.80%
Sarpsborg 08 80.94% 8.61% 10.45%
Haugesund 80.70% 8.61% 10.69%
Sogndal 80.62% 8.74% 10.64%
Bodo Glimt 75.17% 10.90% 13.93%
Aalesund 68.26% 12.36% 19.38%
Tromso 64.52% 13.44% 22.04%
Start 9.97% 7.28% 82.75%
Stabaek — 100% —

Overall Game Log

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

Date Opponent Score Pre Elo Opp Elo Win % Tie % Loss % Elo Δ Points
2016-03-11 Stabaek W 1-0 1563 1595 39.7% 27.3% 32.9% +6.8 3
2016-03-11 @ Aalesund L 0-1 1595 1563 32.9% 27.3% 39.7% -6.8 0
2016-03-12 Rosenborg W 1-0 1677 1742 34.9% 27.4% 37.7% +7.5 3
2016-03-12 @ Odds L 0-1 1742 1677 37.7% 27.4% 34.9% -7.5 0
2016-03-13 Brann D 2-2 1676 1517 63.0% 22.1% 14.9% -1.5 1
2016-03-13 @ Stromsgodset D 2-2 1517 1676 14.9% 22.1% 63.0% +1.5 1
2016-03-13 Haugesund L 0-1 1541 1520 46.9% 26.6% 26.5% -8.8 0
2016-03-13 @ Sarpsborg 08 W 1-0 1520 1541 26.5% 26.6% 46.9% +8.8 3
2016-03-13 Lillestrom D 1-1 1494 1603 29.1% 27.0% 43.9% +0.6 1
2016-03-13 @ Start D 1-1 1603 1494 43.9% 27.0% 29.1% -0.6 1
2016-03-13 Sogndal W 2-0 1576 1555 46.9% 26.6% 26.5% +10.7 3
2016-03-13 @ Bodo Glimt L 0-2 1555 1576 26.5% 26.6% 46.9% -10.7 0
2016-03-13 Tromso D 1-1 1690 1547 61.4% 22.7% 15.9% -1.9 1
2016-03-13 @ Molde D 1-1 1547 1690 15.9% 22.7% 61.4% +1.9 1
2016-03-14 Viking L 0-2 1604 1628 40.8% 27.3% 31.9% -14.9 0
2016-03-14 @ Valerenga W 2-0 1628 1604 31.9% 27.3% 40.8% +14.9 3
2016-03-18 Start D 0-0 1549 1494 51.3% 25.8% 22.9% -1.3 2
2016-03-18 @ Tromso D 0-0 1494 1549 22.9% 25.8% 51.3% +1.3 2
2016-03-19 Aalesund W 3-0 1529 1570 38.4% 27.4% 34.2% +19.1 6
2016-03-19 @ Haugesund L 0-3 1570 1529 34.2% 27.4% 38.4% -19.0 3
2016-03-19 Stromsgodset W 1-0 1735 1674 52.0% 25.7% 22.4% +4.9 3
2016-03-19 @ Rosenborg L 0-1 1674 1735 22.4% 25.7% 52.0% -4.9 1
2016-03-20 Bodo Glimt D 1-1 1602 1586 46.2% 26.7% 27.0% -0.8 2
2016-03-20 @ Lillestrom D 1-1 1586 1602 27.0% 26.7% 46.2% +0.8 4
2016-03-20 Molde L 1-2 1588 1688 30.2% 27.1% 42.6% -6.0 0
2016-03-20 @ Stabaek W 2-1 1688 1588 42.6% 27.1% 30.2% +6.0 4
2016-03-20 Odds D 0-0 1519 1685 22.9% 25.8% 51.2% +1.3 2
2016-03-20 @ Brann D 0-0 1685 1519 51.2% 25.8% 22.9% -1.3 4
2016-03-20 Sarpsborg 08 D 0-0 1642 1532 57.8% 24.0% 18.2% -1.9 4
2016-03-20 @ Viking D 0-0 1532 1642 18.2% 24.0% 57.8% +1.9 1
2016-03-20 Valerenga W 1-0 1544 1589 37.8% 27.4% 34.8% +7.0 3
2016-03-20 @ Sogndal L 0-1 1589 1544 34.8% 27.4% 37.8% -7.0 0
2016-04-01 Lillestrom W 4-2 1694 1602 55.8% 24.7% 19.6% +6.4 7
2016-04-01 @ Molde L 2-4 1602 1694 19.6% 24.7% 55.8% -6.4 2
2016-04-02 Rosenborg L 0-2 1582 1740 23.7% 26.0% 50.2% -9.8 0
2016-04-02 @ Valerenga W 2-0 1740 1582 50.2% 26.0% 23.7% +9.8 6
2016-04-02 Viking L 0-1 1495 1641 25.0% 26.4% 48.6% -5.4 2
2016-04-02 @ Start W 1-0 1641 1495 48.6% 26.4% 25.0% +5.4 7
2016-04-03 Brann L 1-2 1551 1520 48.2% 26.4% 25.4% -8.5 3
2016-04-03 @ Aalesund W 2-1 1520 1551 25.4% 26.4% 48.2% +8.5 5
2016-04-03 Haugesund W 2-0 1669 1548 59.0% 23.6% 17.4% +7.3 4
2016-04-03 @ Stromsgodset L 0-2 1548 1669 17.4% 23.6% 59.0% -7.3 6
2016-04-03 Sogndal D 0-0 1534 1551 41.8% 27.2% 31.0% -0.5 2
2016-04-03 @ Sarpsborg 08 D 0-0 1551 1534 31.0% 27.2% 41.8% +0.5 4
2016-04-03 Stabaek W 3-1 1587 1582 44.8% 26.9% 28.3% +9.8 7
2016-04-03 @ Bodo Glimt L 1-3 1582 1587 28.3% 26.9% 44.8% -9.8 0
2016-04-03 Tromso D 0-0 1683 1548 60.6% 23.0% 16.4% -2.1 5
2016-04-03 @ Odds D 0-0 1548 1683 16.4% 23.0% 60.6% +2.1 3
2016-04-08 Haugesund W 1-0 1551 1541 45.5% 26.8% 27.7% +5.9 7
2016-04-08 @ Sogndal L 0-1 1541 1551 27.7% 26.8% 45.5% -5.9 6
2016-04-09 Sarpsborg 08 W 4-0 1595 1534 52.1% 25.6% 22.3% +17.6 5
2016-04-09 @ Lillestrom L 0-4 1534 1595 22.3% 25.6% 52.1% -17.5 2
2016-04-09 Valerenga W 2-1 1572 1572 44.1% 27.0% 28.9% +5.8 3
2016-04-09 @ Stabaek L 1-2 1572 1572 28.9% 27.0% 44.1% -5.8 0
2016-04-10 Aalesund W 1-0 1750 1542 67.9% 19.9% 12.2% +2.6 9
2016-04-10 @ Rosenborg L 0-1 1542 1750 12.2% 19.9% 67.9% -2.6 3
2016-04-10 Bodo Glimt W 1-0 1529 1597 34.5% 27.4% 38.1% +7.5 8
2016-04-10 @ Brann L 0-1 1597 1529 38.1% 27.4% 34.5% -7.5 7
2016-04-10 Molde D 1-1 1490 1700 19.0% 24.4% 56.6% +1.6 3
2016-04-10 @ Start D 1-1 1700 1490 56.6% 24.4% 19.0% -1.6 8
2016-04-10 Odds L 0-2 1646 1681 39.2% 27.4% 33.5% -14.5 7
2016-04-10 @ Viking W 2-0 1681 1646 33.5% 27.4% 39.2% +14.5 8
2016-04-10 Stromsgodset W 2-0 1550 1676 27.1% 26.7% 46.1% +16.4 6
2016-04-10 @ Tromso L 0-2 1676 1550 46.1% 26.7% 27.1% -16.4 4
2016-04-15 Lillestrom D 2-2 1535 1613 33.2% 27.3% 39.5% +0.2 7
2016-04-15 @ Haugesund D 2-2 1613 1535 39.5% 27.3% 33.2% -0.2 6
2016-04-16 Brann W 3-0 1752 1536 68.8% 19.5% 11.8% +6.9 12
2016-04-16 @ Rosenborg L 0-3 1536 1752 11.8% 19.5% 68.8% -6.9 8
2016-04-16 Sogndal W 2-1 1660 1557 57.0% 24.3% 18.8% +3.9 7
2016-04-16 @ Stromsgodset L 1-2 1557 1660 18.8% 24.3% 57.0% -3.9 7
2016-04-17 Molde L 1-2 1589 1699 29.1% 27.0% 43.9% -5.8 7
2016-04-17 @ Bodo Glimt W 2-1 1699 1589 43.9% 27.0% 29.1% +5.8 11
2016-04-17 Stabaek D 1-1 1516 1578 35.4% 27.4% 37.2% +0.1 3
2016-04-17 @ Sarpsborg 08 D 1-1 1578 1516 37.2% 27.4% 35.4% -0.1 4
2016-04-17 Start W 3-0 1696 1492 67.7% 20.0% 12.3% +7.3 11
2016-04-17 @ Odds L 0-3 1492 1696 12.3% 20.0% 67.7% -7.3 3
2016-04-17 Tromso W 4-0 1566 1567 44.0% 27.0% 29.0% +21.9 3
2016-04-17 @ Valerenga L 0-4 1567 1566 29.0% 27.0% 44.0% -21.9 6
2016-04-17 Viking L 1-2 1540 1632 31.3% 27.2% 41.4% -6.1 3
2016-04-17 @ Aalesund W 2-1 1632 1540 41.4% 27.2% 31.3% +6.1 10
2016-04-20 Brann L 0-1 1638 1529 57.6% 24.1% 18.3% -10.5 10
2016-04-20 @ Viking W 1-0 1529 1638 18.3% 24.1% 57.6% +10.5 11
2016-04-20 Haugesund L 3-4 1584 1535 50.4% 26.0% 23.6% -8.2 7
2016-04-20 @ Bodo Glimt W 4-3 1535 1584 23.6% 26.0% 50.4% +8.2 10
2016-04-20 Odds L 0-1 1553 1703 24.6% 26.2% 49.2% -5.3 7
2016-04-20 @ Sogndal W 1-0 1703 1553 49.2% 26.2% 24.6% +5.3 14
2016-04-20 Stromsgodset L 0-1 1578 1664 32.1% 27.3% 40.7% -6.6 4
2016-04-20 @ Stabaek W 1-0 1664 1578 40.7% 27.3% 32.1% +6.6 10
2016-04-21 Aalesund D 1-1 1613 1534 54.2% 25.1% 20.7% -1.4 7
2016-04-21 @ Lillestrom D 1-1 1534 1613 20.7% 25.1% 54.2% +1.4 4
2016-04-21 Rosenborg L 1-2 1545 1759 18.7% 24.3% 57.0% -3.9 6
2016-04-21 @ Tromso W 2-1 1759 1545 57.0% 24.3% 18.7% +3.9 15
2016-04-21 Sarpsborg 08 L 1-4 1484 1516 39.6% 27.3% 33.0% -17.9 3
2016-04-21 @ Start W 4-1 1516 1484 33.0% 27.3% 39.6% +17.9 6
2016-04-21 Valerenga W 4-0 1705 1588 58.5% 23.8% 17.7% +14.1 14
2016-04-21 @ Molde L 0-4 1588 1705 17.7% 23.8% 58.5% -14.1 3
2016-04-23 Bodo Glimt W 2-0 1671 1575 56.1% 24.6% 19.4% +8.1 13
2016-04-23 @ Stromsgodset L 0-2 1575 1671 19.4% 24.6% 56.1% -8.1 7
2016-04-23 Sogndal W 2-0 1540 1548 43.0% 27.1% 29.9% +11.8 14
2016-04-23 @ Brann L 0-2 1548 1540 29.9% 27.1% 43.0% -11.8 7
2016-04-24 Lillestrom L 1-3 1708 1611 56.3% 24.5% 19.2% -16.8 14
2016-04-24 @ Odds W 3-1 1611 1708 19.2% 24.5% 56.3% +16.8 10
2016-04-24 Molde W 4-0 1534 1719 21.2% 25.3% 53.5% +35.2 9
2016-04-24 @ Sarpsborg 08 L 0-4 1719 1534 53.5% 25.3% 21.2% -35.2 14
2016-04-24 Start W 2-0 1574 1466 57.5% 24.1% 18.4% +7.7 6
2016-04-24 @ Valerenga L 0-2 1466 1574 18.4% 24.1% 57.5% -7.7 3
2016-04-24 Tromso W 6-0 1535 1541 43.3% 27.1% 29.6% +32.6 7
2016-04-24 @ Aalesund L 0-6 1541 1535 29.6% 27.1% 43.3% -32.6 6
2016-04-24 Viking W 4-0 1763 1627 60.7% 23.0% 16.3% +13.0 18
2016-04-24 @ Rosenborg L 0-4 1627 1763 16.3% 23.0% 60.7% -13.0 10
2016-04-25 Stabaek W 3-1 1543 1571 40.2% 27.3% 32.5% +10.9 13
2016-04-25 @ Haugesund L 1-3 1571 1543 32.5% 27.3% 40.2% -10.9 4
2016-04-30 Aalesund W 1-0 1684 1568 58.5% 23.8% 17.7% +3.9 17
2016-04-30 @ Molde L 0-1 1568 1684 17.7% 23.8% 58.5% -3.9 7
2016-04-30 Valerenga W 2-0 1628 1582 50.2% 26.1% 23.8% +9.8 13
2016-04-30 @ Lillestrom L 0-2 1582 1628 23.8% 26.1% 50.2% -9.8 6
2016-05-01 Brann W 1-0 1508 1552 38.0% 27.4% 34.6% +7.0 9
2016-05-01 @ Tromso L 0-1 1552 1508 34.6% 27.4% 38.0% -7.0 14
2016-05-01 Haugesund W 3-2 1614 1554 51.9% 25.7% 22.4% +4.4 13
2016-05-01 @ Viking L 2-3 1554 1614 22.4% 25.7% 51.9% -4.4 13
2016-05-01 Odds L 1-2 1560 1692 26.5% 26.6% 46.8% -5.4 4
2016-05-01 @ Stabaek W 2-1 1692 1560 46.8% 26.6% 26.5% +5.4 17
2016-05-01 Rosenborg D 1-1 1536 1776 16.8% 23.3% 59.9% +1.8 8
2016-05-01 @ Sogndal D 1-1 1776 1536 59.9% 23.3% 16.8% -1.8 19
2016-05-01 Stromsgodset D 2-2 1459 1679 18.3% 24.1% 57.7% +1.2 4
2016-05-01 @ Start D 2-2 1679 1459 57.7% 24.1% 18.3% -1.2 14
2016-05-02 Sarpsborg 08 L 0-2 1567 1569 43.8% 27.0% 29.2% -15.8 7
2016-05-02 @ Bodo Glimt W 2-0 1569 1567 29.2% 27.0% 43.8% +15.8 12
2016-05-07 Lillestrom W 3-1 1677 1638 49.3% 26.2% 24.5% +8.7 17
2016-05-07 @ Stromsgodset L 1-3 1638 1677 24.5% 26.2% 49.3% -8.7 13
2016-05-07 Start W 1-0 1545 1460 54.9% 24.9% 20.2% +4.5 17
2016-05-07 @ Brann L 0-1 1460 1545 20.2% 24.9% 54.9% -4.5 4
2016-05-07 Tromso W 2-0 1619 1515 57.0% 24.3% 18.7% +7.8 16
2016-05-07 @ Viking L 0-2 1515 1619 18.7% 24.3% 57.0% -7.8 9
2016-05-08 Bodo Glimt W 2-1 1697 1552 61.7% 22.6% 15.7% +3.3 20
2016-05-08 @ Odds L 1-2 1552 1697 15.7% 22.6% 61.7% -3.3 7
2016-05-08 Molde D 3-3 1550 1687 25.9% 26.5% 47.6% +0.5 14
2016-05-08 @ Haugesund D 3-3 1687 1550 47.6% 26.5% 25.9% -0.5 18
2016-05-08 Sarpsborg 08 W 3-0 1572 1585 42.3% 27.2% 30.6% +17.5 9
2016-05-08 @ Valerenga L 0-3 1585 1572 30.6% 27.2% 42.3% -17.5 12
2016-05-08 Sogndal L 1-4 1564 1538 47.5% 26.5% 26.0% -20.6 7
2016-05-08 @ Aalesund W 4-1 1538 1564 26.0% 26.5% 47.5% +20.6 11
2016-05-08 Stabaek W 3-1 1774 1555 69.1% 19.3% 11.6% +4.1 22
2016-05-08 @ Rosenborg L 1-3 1555 1774 11.6% 19.3% 69.1% -4.0 4
2016-05-11 Brann W 1-0 1629 1549 54.3% 25.1% 20.6% +4.6 16
2016-05-11 @ Lillestrom L 0-1 1549 1629 20.6% 25.1% 54.3% -4.6 17
2016-05-11 Odds W 3-1 1550 1700 24.5% 26.2% 49.2% +15.0 17
2016-05-11 @ Haugesund L 1-3 1700 1550 49.2% 26.2% 24.5% -15.0 20
2016-05-11 Stromsgodset W 4-2 1687 1686 44.2% 27.0% 28.8% +8.9 21
2016-05-11 @ Molde L 2-4 1686 1687 28.8% 27.0% 44.2% -8.9 17
2016-05-11 Valerenga D 0-0 1548 1590 38.3% 27.4% 34.3% -0.2 8
2016-05-11 @ Bodo Glimt D 0-0 1590 1548 34.3% 27.4% 38.3% +0.2 10
2016-05-12 Aalesund W 1-0 1568 1543 47.4% 26.6% 26.1% +5.6 15
2016-05-12 @ Sarpsborg 08 L 0-1 1543 1568 26.1% 26.6% 47.4% -5.6 7
2016-05-12 Rosenborg L 0-2 1455 1778 12.0% 19.7% 68.4% -4.8 4
2016-05-12 @ Start W 2-0 1778 1455 68.4% 19.7% 12.0% +4.8 25
2016-05-12 Tromso D 0-0 1559 1507 50.8% 25.9% 23.3% -1.2 12
2016-05-12 @ Sogndal D 0-0 1507 1559 23.3% 25.9% 50.8% +1.2 10
2016-05-12 Viking W 1-0 1551 1627 33.5% 27.3% 39.2% +7.7 7
2016-05-12 @ Stabaek L 0-1 1627 1551 39.2% 27.3% 33.5% -7.7 16
2016-05-16 Bodo Glimt L 1-2 1509 1548 38.6% 27.4% 34.1% -7.2 10
2016-05-16 @ Tromso W 2-1 1548 1509 34.1% 27.4% 38.6% +7.2 11
2016-05-16 Haugesund L 0-1 1590 1565 47.3% 26.6% 26.1% -8.9 10
2016-05-16 @ Valerenga W 1-0 1565 1590 26.1% 26.6% 47.3% +8.9 20
2016-05-16 Lillestrom W 2-1 1783 1634 62.1% 22.4% 15.4% +3.2 28
2016-05-16 @ Rosenborg L 1-2 1634 1783 15.4% 22.4% 62.1% -3.2 16
2016-05-16 Molde W 2-0 1685 1696 42.6% 27.1% 30.2% +11.9 23
2016-05-16 @ Odds L 0-2 1696 1685 30.2% 27.1% 42.6% -11.9 21
2016-05-16 Sarpsborg 08 W 4-0 1677 1573 57.1% 24.2% 18.7% +14.8 20
2016-05-16 @ Stromsgodset L 0-4 1573 1677 18.7% 24.2% 57.1% -14.8 15
2016-05-16 Sogndal D 0-0 1619 1557 52.0% 25.6% 22.3% -1.4 17
2016-05-16 @ Viking D 0-0 1557 1619 22.3% 25.6% 52.0% +1.4 13
2016-05-16 Stabaek W 1-0 1545 1558 42.2% 27.2% 30.6% +6.4 20
2016-05-16 @ Brann L 0-1 1558 1545 30.6% 27.2% 42.2% -6.4 7
2016-05-16 Start D 1-1 1537 1451 55.1% 24.9% 20.0% -1.5 8
2016-05-16 @ Aalesund D 1-1 1451 1537 20.0% 24.9% 55.1% +1.5 5
2016-05-20 Odds D 0-0 1559 1697 25.7% 26.5% 47.8% +1.0 16
2016-05-20 @ Sarpsborg 08 D 0-0 1697 1559 47.8% 26.5% 25.7% -1.0 24
2016-05-21 Brann W 2-0 1684 1551 60.4% 23.1% 16.5% +6.9 24
2016-05-21 @ Molde L 0-2 1551 1684 16.5% 23.1% 60.4% -6.9 20
2016-05-21 Tromso L 0-3 1552 1501 50.7% 25.9% 23.4% -25.8 7
2016-05-21 @ Stabaek W 3-0 1501 1552 23.4% 25.9% 50.7% +25.8 13
2016-05-22 Aalesund L 0-1 1555 1536 46.7% 26.7% 26.7% -8.8 11
2016-05-22 @ Bodo Glimt W 1-0 1536 1555 26.7% 26.7% 46.7% +8.8 11
2016-05-22 Rosenborg D 1-1 1574 1786 18.9% 24.3% 56.8% +1.6 21
2016-05-22 @ Haugesund D 1-1 1786 1574 56.8% 24.3% 18.9% -1.6 29
2016-05-22 Start D 2-2 1559 1452 57.4% 24.1% 18.4% -1.2 14
2016-05-22 @ Sogndal D 2-2 1452 1559 18.4% 24.1% 57.4% +1.2 6
2016-05-22 Valerenga W 3-2 1692 1581 57.9% 24.0% 18.1% +3.6 23
2016-05-22 @ Stromsgodset L 2-3 1581 1692 18.1% 24.0% 57.9% -3.6 10
2016-05-22 Viking L 1-2 1631 1617 45.8% 26.8% 27.4% -8.2 16
2016-05-22 @ Lillestrom W 2-1 1617 1631 27.4% 26.8% 45.8% +8.2 20
2016-05-28 Molde W 3-1 1785 1691 55.9% 24.6% 19.5% +7.1 32
2016-05-28 @ Rosenborg L 1-3 1691 1785 19.5% 24.6% 55.9% -7.0 24
2016-05-28 Sarpsborg 08 L 1-2 1527 1560 39.6% 27.3% 33.1% -7.3 13
2016-05-28 @ Tromso W 2-1 1560 1527 33.1% 27.3% 39.6% +7.3 19
2016-05-29 Bodo Glimt W 2-0 1626 1546 54.2% 25.1% 20.7% +8.6 23
2016-05-29 @ Viking L 0-2 1546 1626 20.7% 25.1% 54.2% -8.6 11
2016-05-29 Haugesund W 1-0 1544 1576 39.7% 27.3% 33.0% +6.8 23
2016-05-29 @ Brann L 0-1 1576 1544 33.0% 27.3% 39.7% -6.8 21
2016-05-29 Lillestrom D 2-2 1558 1622 35.0% 27.4% 37.6% +0.1 15
2016-05-29 @ Sogndal D 2-2 1622 1558 37.6% 27.4% 35.0% -0.1 17
2016-05-29 Stabaek L 0-5 1453 1526 33.8% 27.4% 38.8% -30.4 6
2016-05-29 @ Start W 5-0 1526 1453 38.8% 27.4% 33.8% +30.4 10
2016-05-29 Stromsgodset W 2-1 1696 1696 44.2% 27.0% 28.8% +5.8 27
2016-05-29 @ Odds L 1-2 1696 1696 28.8% 27.0% 44.2% -5.8 23
2016-05-29 Valerenga D 2-2 1545 1577 39.6% 27.3% 33.1% -0.2 12
2016-05-29 @ Aalesund D 2-2 1577 1545 33.1% 27.3% 39.6% +0.2 11
2016-07-01 Tromso L 2-4 1622 1520 56.9% 24.3% 18.8% -15.1 17
2016-07-01 @ Lillestrom W 4-2 1520 1622 18.8% 24.3% 56.9% +15.1 16
2016-07-02 Rosenborg D 0-0 1538 1792 15.9% 22.7% 61.4% +2.2 12
2016-07-02 @ Bodo Glimt D 0-0 1792 1538 61.4% 22.7% 15.9% -2.2 33
2016-07-02 Start W 2-1 1569 1423 61.8% 22.6% 15.7% +3.3 24
2016-07-02 @ Haugesund L 1-2 1423 1569 15.7% 22.6% 61.8% -3.3 6
2016-07-03 Brann W 1-0 1567 1551 46.2% 26.7% 27.0% +5.8 22
2016-07-03 @ Sarpsborg 08 L 0-1 1551 1567 27.0% 26.7% 46.2% -5.8 23
2016-07-03 Odds L 0-1 1577 1702 27.3% 26.8% 45.9% -5.8 11
2016-07-03 @ Valerenga W 1-0 1702 1577 45.9% 26.8% 27.3% +5.8 30
2016-07-03 Sogndal L 0-1 1557 1558 44.0% 27.0% 29.0% -8.4 10
2016-07-03 @ Stabaek W 1-0 1558 1557 29.0% 27.0% 44.0% +8.4 18
2016-07-03 Viking L 0-1 1684 1634 50.6% 26.0% 23.5% -9.4 24
2016-07-03 @ Molde W 1-0 1634 1684 23.5% 26.0% 50.6% +9.4 26
2016-07-04 Aalesund W 4-2 1690 1545 61.7% 22.6% 15.7% +5.1 26
2016-07-04 @ Stromsgodset L 2-4 1545 1690 15.7% 22.6% 61.7% -5.1 12
2016-07-08 Bodo Glimt L 1-4 1420 1540 27.8% 26.8% 45.4% -13.7 6
2016-07-08 @ Start W 4-1 1540 1420 45.4% 26.8% 27.8% +13.7 15
2016-07-09 Haugesund D 2-2 1535 1572 38.9% 27.4% 33.8% -0.1 17
2016-07-09 @ Tromso D 2-2 1572 1535 33.8% 27.4% 38.9% +0.1 25
2016-07-09 Molde W 4-3 1566 1674 29.2% 27.0% 43.7% +7.3 21
2016-07-09 @ Sogndal L 3-4 1674 1566 43.7% 27.0% 29.2% -7.3 24
2016-07-09 Sarpsborg 08 W 5-2 1790 1573 68.9% 19.4% 11.7% +5.0 36
2016-07-09 @ Rosenborg L 2-5 1573 1790 11.7% 19.4% 68.9% -5.0 22
2016-07-09 Stromsgodset L 0-1 1644 1695 36.9% 27.4% 35.7% -7.4 26
2016-07-09 @ Viking W 1-0 1695 1644 35.7% 27.4% 36.9% +7.3 29
2016-07-09 Valerenga W 4-1 1545 1572 40.4% 27.3% 32.3% +15.4 26
2016-07-09 @ Brann L 1-4 1572 1545 32.3% 27.3% 40.4% -15.4 11
2016-07-10 Aalesund W 4-1 1708 1540 64.1% 21.6% 14.3% +7.2 33
2016-07-10 @ Odds L 1-4 1540 1708 14.3% 21.6% 64.1% -7.2 12
2016-07-10 Stabaek L 1-2 1607 1548 51.7% 25.7% 22.6% -9.0 17
2016-07-10 @ Lillestrom W 2-1 1548 1607 22.6% 25.7% 51.7% +9.0 13
2016-07-15 Sogndal D 1-1 1556 1573 41.7% 27.2% 31.1% -0.4 12
2016-07-15 @ Valerenga D 1-1 1573 1556 31.1% 27.2% 41.7% +0.4 22
2016-07-16 Rosenborg D 1-1 1532 1795 15.3% 22.4% 62.3% +2.0 13
2016-07-16 @ Aalesund D 1-1 1795 1532 62.3% 22.4% 15.3% -2.0 37
2016-07-16 Viking W 4-1 1573 1636 35.1% 27.4% 37.5% +17.2 28
2016-07-16 @ Haugesund L 1-4 1636 1573 37.5% 27.4% 35.1% -17.2 26
2016-07-17 Brann D 1-1 1557 1560 43.7% 27.0% 29.3% -0.6 14
2016-07-17 @ Stabaek D 1-1 1560 1557 29.3% 27.0% 43.7% +0.6 27
2016-07-17 Lillestrom W 3-0 1568 1598 39.9% 27.3% 32.8% +18.5 25
2016-07-17 @ Sarpsborg 08 L 0-3 1598 1568 32.8% 27.3% 39.9% -18.5 17
2016-07-17 Odds W 2-1 1554 1715 23.4% 25.9% 50.7% +8.9 18
2016-07-17 @ Bodo Glimt L 1-2 1715 1554 50.7% 25.9% 23.4% -8.9 33
2016-07-17 Start D 2-2 1667 1406 72.9% 17.4% 9.8% -2.0 25
2016-07-17 @ Molde D 2-2 1406 1667 9.8% 17.4% 72.9% +2.0 7
2016-07-17 Tromso W 1-0 1702 1535 64.0% 21.7% 14.3% +3.2 32
2016-07-17 @ Stromsgodset L 0-1 1535 1702 14.3% 21.7% 64.0% -3.2 17
2016-07-22 Aalesund W 6-0 1561 1534 47.6% 26.5% 25.9% +29.2 30
2016-07-22 @ Brann L 0-6 1534 1561 25.9% 26.5% 47.6% -29.2 13
2016-07-23 Haugesund W 6-0 1793 1590 67.5% 20.1% 12.4% +14.0 40
2016-07-23 @ Rosenborg L 0-6 1590 1793 12.4% 20.1% 67.5% -14.0 28
2016-07-23 Sarpsborg 08 L 0-1 1665 1586 54.2% 25.1% 20.7% -9.9 25
2016-07-23 @ Molde W 1-0 1586 1665 20.7% 25.1% 54.2% +9.9 28
2016-07-24 Bodo Glimt D 2-2 1574 1563 45.6% 26.8% 27.6% -0.5 23
2016-07-24 @ Sogndal D 2-2 1563 1574 27.6% 26.8% 45.6% +0.5 19
2016-07-24 Stabaek D 2-2 1532 1557 40.6% 27.3% 32.1% -0.2 18
2016-07-24 @ Tromso D 2-2 1557 1532 32.1% 27.3% 40.6% +0.2 15
2016-07-24 Stromsgodset W 2-0 1580 1705 27.2% 26.8% 46.1% +16.4 20
2016-07-24 @ Lillestrom L 0-2 1705 1580 46.1% 26.8% 27.2% -16.4 32
2016-07-24 Valerenga L 2-4 1408 1556 24.8% 26.3% 48.9% -7.9 7
2016-07-24 @ Start W 4-2 1556 1408 48.9% 26.3% 24.8% +7.9 15
2016-07-24 Viking D 2-2 1706 1619 55.1% 24.8% 20.0% -1.1 34
2016-07-24 @ Odds D 2-2 1619 1706 20.0% 24.8% 55.1% +1.1 27
2016-07-29 Start W 1-0 1596 1400 66.8% 20.4% 12.8% +2.8 31
2016-07-29 @ Sarpsborg 08 L 0-1 1400 1596 12.8% 20.4% 66.8% -2.8 7
2016-07-31 Brann L 1-3 1705 1590 58.4% 23.8% 17.8% -17.2 34
2016-07-31 @ Odds W 3-1 1590 1705 17.8% 23.8% 58.4% +17.2 33
2016-07-31 Lillestrom W 2-0 1505 1596 31.4% 27.2% 41.3% +15.1 16
2016-07-31 @ Aalesund L 0-2 1596 1505 41.3% 27.2% 31.4% -15.1 20
2016-07-31 Sogndal L 0-1 1576 1573 44.4% 27.0% 28.6% -8.5 28
2016-07-31 @ Haugesund W 1-0 1573 1576 28.6% 27.0% 44.4% +8.5 26
2016-07-31 Stabaek D 2-2 1689 1557 60.2% 23.2% 16.6% -1.4 33
2016-07-31 @ Stromsgodset D 2-2 1557 1689 16.6% 23.2% 60.2% +1.4 16
2016-07-31 Tromso L 0-3 1563 1532 48.3% 26.4% 25.3% -24.8 19
2016-07-31 @ Bodo Glimt W 3-0 1532 1563 25.3% 26.4% 48.3% +24.8 21
2016-08-01 Molde W 3-0 1564 1655 31.4% 27.2% 41.4% +21.9 18
2016-08-01 @ Valerenga L 0-3 1655 1564 41.4% 27.2% 31.4% -22.0 25
2016-08-05 Aalesund L 1-2 1556 1520 48.9% 26.3% 24.8% -8.6 21
2016-08-05 @ Tromso W 2-1 1520 1556 24.8% 26.3% 48.9% +8.6 19
2016-08-06 Bodo Glimt W 3-2 1633 1538 56.0% 24.6% 19.4% +3.8 28
2016-08-06 @ Molde L 2-3 1538 1633 19.4% 24.6% 56.0% -3.8 19
2016-08-06 Rosenborg L 3-4 1581 1807 17.8% 23.8% 58.3% -3.5 20
2016-08-06 @ Lillestrom W 4-3 1807 1581 58.3% 23.8% 17.8% +3.5 43
2016-08-07 Haugesund L 0-1 1558 1567 42.9% 27.1% 30.0% -8.2 16
2016-08-07 @ Stabaek W 1-0 1567 1558 30.0% 27.1% 42.9% +8.2 31
2016-08-07 Odds L 1-2 1397 1688 13.6% 21.1% 65.2% -2.8 7
2016-08-07 @ Start W 2-1 1688 1397 65.2% 21.1% 13.6% +2.8 37
2016-08-07 Stromsgodset W 1-0 1607 1688 32.9% 27.3% 39.8% +7.8 36
2016-08-07 @ Brann L 0-1 1688 1607 39.8% 27.3% 32.9% -7.8 33
2016-08-07 Valerenga L 0-2 1599 1586 45.9% 26.8% 27.4% -16.4 31
2016-08-07 @ Sarpsborg 08 W 2-0 1586 1599 27.4% 26.8% 45.9% +16.4 21
2016-08-07 Viking L 1-2 1582 1620 38.7% 27.4% 33.9% -7.2 26
2016-08-07 @ Sogndal W 2-1 1620 1582 33.9% 27.4% 38.7% +7.2 30
2016-08-11 Rosenborg L 0-2 1627 1810 21.4% 25.3% 53.3% -8.9 30
2016-08-11 @ Viking W 2-0 1810 1627 53.3% 25.3% 21.4% +8.9 46
2016-08-13 Brann W 3-2 1602 1615 42.3% 27.2% 30.6% +5.7 24
2016-08-13 @ Valerenga L 2-3 1615 1602 30.6% 27.2% 42.3% -5.7 36
2016-08-13 Lillestrom D 1-1 1534 1578 38.1% 27.4% 34.5% -0.1 20
2016-08-13 @ Bodo Glimt D 1-1 1578 1534 34.5% 27.4% 38.1% +0.1 21
2016-08-14 Molde L 0-2 1529 1637 29.3% 27.0% 43.7% -11.6 19
2016-08-14 @ Aalesund W 2-0 1637 1529 43.7% 27.0% 29.3% +11.6 31
2016-08-14 Sarpsborg 08 D 0-0 1691 1582 57.6% 24.1% 18.3% -1.8 38
2016-08-14 @ Odds D 0-0 1582 1691 18.3% 24.1% 57.6% +1.8 32
2016-08-14 Sogndal W 3-1 1819 1574 71.4% 18.1% 10.4% +3.6 49
2016-08-14 @ Rosenborg L 1-3 1574 1819 10.4% 18.1% 71.4% -3.6 26
2016-08-14 Stabaek D 2-2 1619 1550 52.9% 25.4% 21.7% -1.0 31
2016-08-14 @ Viking D 2-2 1550 1619 21.7% 25.4% 52.9% +1.0 17
2016-08-14 Start D 1-1 1680 1395 75.0% 16.2% 8.8% -2.8 34
2016-08-14 @ Stromsgodset D 1-1 1395 1680 8.8% 16.2% 75.0% +2.8 8
2016-08-14 Tromso W 2-1 1575 1548 47.8% 26.5% 25.7% +5.2 34
2016-08-14 @ Haugesund L 1-2 1548 1575 25.7% 26.5% 47.8% -5.2 21
2016-08-19 Bodo Glimt D 1-1 1608 1534 53.5% 25.3% 21.2% -1.3 25
2016-08-19 @ Valerenga D 1-1 1534 1608 21.2% 25.3% 53.5% +1.3 21
2016-08-20 Haugesund D 1-1 1578 1581 43.7% 27.0% 29.3% -0.6 22
2016-08-20 @ Lillestrom D 1-1 1581 1578 29.3% 27.0% 43.7% +0.6 35
2016-08-21 Aalesund W 3-0 1551 1517 48.6% 26.4% 25.1% +14.9 20
2016-08-21 @ Stabaek L 0-3 1517 1551 25.1% 26.4% 48.6% -14.9 19
2016-08-21 Odds W 4-2 1649 1689 38.5% 27.4% 34.2% +10.1 34
2016-08-21 @ Molde L 2-4 1689 1649 34.2% 27.4% 38.5% -10.2 38
2016-08-21 Rosenborg D 1-1 1609 1823 18.8% 24.3% 56.9% +1.6 37
2016-08-21 @ Brann D 1-1 1823 1609 56.9% 24.3% 18.8% -1.6 50
2016-08-21 Sogndal D 1-1 1397 1571 22.2% 25.6% 52.2% +1.2 9
2016-08-21 @ Start D 1-1 1571 1397 52.2% 25.6% 22.2% -1.2 27
2016-08-21 Stromsgodset W 1-0 1584 1677 31.2% 27.2% 41.6% +8.0 35
2016-08-21 @ Sarpsborg 08 L 0-1 1677 1584 41.6% 27.2% 31.2% -8.0 34
2016-08-21 Viking W 2-1 1542 1618 33.5% 27.4% 39.1% +7.2 24
2016-08-21 @ Tromso L 1-2 1618 1542 39.1% 27.4% 33.5% -7.2 31
2016-08-26 Sarpsborg 08 D 2-2 1502 1592 31.6% 27.2% 41.2% +0.3 20
2016-08-26 @ Aalesund D 2-2 1592 1502 41.2% 27.2% 31.6% -0.3 36
2016-08-27 Brann W 3-2 1581 1611 40.0% 27.3% 32.7% +6.0 38
2016-08-27 @ Haugesund L 2-3 1611 1581 32.7% 27.3% 40.0% -6.0 37
2016-08-27 Molde L 0-2 1669 1659 45.5% 26.8% 27.7% -16.2 34
2016-08-27 @ Stromsgodset W 2-0 1659 1669 27.7% 26.8% 45.5% +16.2 37
2016-08-28 Lillestrom D 2-2 1610 1577 48.5% 26.4% 25.1% -0.7 32
2016-08-28 @ Viking D 2-2 1577 1610 25.1% 26.4% 48.5% +0.7 23
2016-08-28 Stabaek D 1-1 1570 1566 44.6% 26.9% 28.5% -0.6 28
2016-08-28 @ Sogndal D 1-1 1566 1570 28.5% 26.9% 44.6% +0.6 21
2016-08-28 Start W 2-0 1536 1399 60.8% 23.0% 16.2% +6.8 24
2016-08-28 @ Bodo Glimt L 0-2 1399 1536 16.2% 23.0% 60.8% -6.8 9
2016-08-28 Tromso W 3-1 1821 1550 73.8% 16.9% 9.3% +3.1 53
2016-08-28 @ Rosenborg L 1-3 1550 1821 9.3% 16.9% 73.8% -3.1 24
2016-08-28 Valerenga L 1-2 1679 1606 53.4% 25.3% 21.3% -9.3 38
2016-08-28 @ Odds W 2-1 1606 1679 21.3% 25.3% 53.4% +9.3 28
2016-09-09 Aalesund L 1-4 1392 1503 28.9% 27.0% 44.1% -14.1 9
2016-09-09 @ Start W 4-1 1503 1392 44.1% 27.0% 28.9% +14.1 23
2016-09-10 Stromsgodset D 1-1 1616 1653 38.9% 27.4% 33.7% -0.2 29
2016-09-10 @ Valerenga D 1-1 1653 1616 33.7% 27.4% 38.9% +0.2 35
2016-09-10 Viking D 0-0 1605 1610 43.5% 27.1% 29.5% -0.6 38
2016-09-10 @ Brann D 0-0 1610 1605 29.5% 27.1% 43.5% +0.6 33
2016-09-11 Bodo Glimt L 1-2 1592 1542 50.6% 26.0% 23.5% -8.9 36
2016-09-11 @ Sarpsborg 08 W 2-1 1542 1592 23.5% 26.0% 50.6% +8.9 27
2016-09-11 Haugesund D 0-0 1675 1587 55.2% 24.8% 20.0% -1.6 38
2016-09-11 @ Molde D 0-0 1587 1675 20.0% 24.8% 55.2% +1.6 39
2016-09-11 Odds L 2-4 1578 1669 31.4% 27.2% 41.4% -9.5 23
2016-09-11 @ Lillestrom W 4-2 1669 1578 41.4% 27.2% 31.4% +9.5 41
2016-09-11 Rosenborg L 0-2 1567 1824 15.6% 22.6% 61.8% -6.5 21
2016-09-11 @ Stabaek W 2-0 1824 1567 61.8% 22.6% 15.6% +6.5 56
2016-09-11 Sogndal W 2-0 1547 1569 41.0% 27.3% 31.8% +12.4 27
2016-09-11 @ Tromso L 0-2 1569 1547 31.8% 27.3% 41.0% -12.4 28
2016-09-16 Valerenga D 1-1 1589 1615 40.4% 27.3% 32.3% -0.3 40
2016-09-16 @ Haugesund D 1-1 1615 1589 32.3% 27.3% 40.4% +0.3 30
2016-09-17 Lillestrom W 2-1 1559 1568 42.8% 27.1% 30.1% +5.9 30
2016-09-17 @ Tromso L 1-2 1568 1559 30.1% 27.1% 42.8% -5.9 23
2016-09-17 Molde W 1-0 1610 1673 35.2% 27.4% 37.4% +7.4 36
2016-09-17 @ Viking L 0-1 1673 1610 37.4% 27.4% 35.2% -7.4 38
2016-09-18 Brann L 1-3 1551 1604 36.6% 27.4% 36.0% -11.9 27
2016-09-18 @ Bodo Glimt W 3-1 1604 1551 36.0% 27.4% 36.6% +11.9 41
2016-09-18 Sarpsborg 08 W 3-0 1557 1583 40.4% 27.3% 32.3% +18.2 31
2016-09-18 @ Sogndal L 0-3 1583 1557 32.3% 27.3% 40.4% -18.2 36
2016-09-18 Stabaek L 0-1 1679 1560 58.8% 23.7% 17.5% -10.6 41
2016-09-18 @ Odds W 1-0 1560 1679 17.5% 23.7% 58.8% +10.6 24
2016-09-18 Start W 2-0 1831 1378 86.4% 9.4% 4.2% +1.4 59
2016-09-18 @ Rosenborg L 0-2 1378 1831 4.2% 9.4% 86.4% -1.4 9
2016-09-18 Stromsgodset W 4-2 1517 1653 26.0% 26.5% 47.5% +13.0 26
2016-09-18 @ Aalesund L 2-4 1653 1517 47.5% 26.5% 26.0% -13.0 35
2016-09-24 Rosenborg L 1-3 1666 1832 22.9% 25.8% 51.2% -8.2 38
2016-09-24 @ Molde W 3-1 1832 1666 51.2% 25.8% 22.9% +8.2 62
2016-09-24 Viking W 1-0 1565 1618 36.7% 27.4% 35.9% +7.2 39
2016-09-24 @ Sarpsborg 08 L 0-1 1618 1565 35.9% 27.4% 36.7% -7.2 36
2016-09-25 Aalesund L 0-1 1616 1530 55.0% 24.9% 20.1% -10.1 30
2016-09-25 @ Valerenga W 1-0 1530 1616 20.1% 24.9% 55.0% +10.1 29
2016-09-25 Haugesund W 1-0 1376 1589 18.9% 24.3% 56.8% +10.3 12
2016-09-25 @ Start L 0-1 1589 1376 56.8% 24.3% 18.9% -10.3 40
2016-09-25 Odds D 1-1 1640 1668 40.2% 27.3% 32.6% -0.3 36
2016-09-25 @ Stromsgodset D 1-1 1668 1640 32.6% 27.3% 40.2% +0.3 42
2016-09-25 Sogndal L 1-2 1562 1575 42.4% 27.2% 30.5% -7.7 23
2016-09-25 @ Lillestrom W 2-1 1575 1562 30.5% 27.2% 42.4% +7.7 34
2016-09-25 Tromso W 1-0 1616 1565 50.8% 25.9% 23.3% +5.1 44
2016-09-25 @ Brann L 0-1 1565 1616 23.3% 25.9% 50.8% -5.1 30
2016-09-26 Bodo Glimt W 1-0 1571 1539 48.2% 26.4% 25.4% +5.5 27
2016-09-26 @ Stabaek L 0-1 1539 1571 25.4% 26.4% 48.2% -5.5 27
2016-09-30 Stromsgodset W 4-2 1534 1640 29.6% 27.1% 43.4% +12.1 30
2016-09-30 @ Bodo Glimt L 2-4 1640 1534 43.4% 27.1% 29.6% -12.1 36
2016-10-01 Brann D 0-0 1583 1621 38.7% 27.4% 34.0% -0.2 35
2016-10-01 @ Sogndal D 0-0 1621 1583 34.0% 27.4% 38.7% +0.2 45
2016-10-01 Lillestrom L 1-2 1576 1555 47.0% 26.6% 26.4% -8.3 27
2016-10-01 @ Stabaek W 2-1 1555 1576 26.4% 26.6% 47.0% +8.3 26
2016-10-02 Molde L 0-2 1560 1658 30.5% 27.2% 42.3% -12.0 30
2016-10-02 @ Tromso W 2-0 1658 1560 42.3% 27.2% 30.5% +12.0 41
2016-10-02 Odds W 1-0 1540 1669 26.8% 26.7% 46.5% +8.8 32
2016-10-02 @ Aalesund L 0-1 1669 1540 46.5% 26.7% 26.8% -8.8 42
2016-10-02 Sarpsborg 08 D 1-1 1578 1572 44.9% 26.9% 28.2% -0.7 41
2016-10-02 @ Haugesund D 1-1 1572 1578 28.2% 26.9% 44.9% +0.7 40
2016-10-02 Start W 2-0 1610 1387 69.5% 19.1% 11.4% +4.6 39
2016-10-02 @ Viking L 0-2 1387 1610 11.4% 19.1% 69.5% -4.6 12
2016-10-02 Valerenga W 3-1 1840 1606 70.5% 18.6% 10.9% +3.8 65
2016-10-02 @ Rosenborg L 1-3 1606 1840 10.9% 18.6% 70.5% -3.8 30
2016-10-14 Viking D 1-1 1628 1615 45.8% 26.8% 27.5% -0.7 37
2016-10-14 @ Stromsgodset D 1-1 1615 1628 27.5% 26.8% 45.8% +0.7 40
2016-10-15 Bodo Glimt W 1-0 1549 1546 44.4% 27.0% 28.6% +6.1 35
2016-10-15 @ Aalesund L 0-1 1546 1549 28.6% 27.0% 44.4% -6.1 30
2016-10-15 Rosenborg D 2-2 1573 1844 14.8% 22.0% 63.2% +1.5 41
2016-10-15 @ Sarpsborg 08 D 2-2 1844 1573 63.2% 22.0% 14.8% -1.5 66
2016-10-16 Haugesund W 2-1 1660 1578 54.6% 25.0% 20.4% +4.3 45
2016-10-16 @ Odds L 1-2 1578 1660 20.4% 25.0% 54.6% -4.3 41
2016-10-16 Lillestrom L 1-2 1622 1563 51.7% 25.7% 22.6% -9.0 45
2016-10-16 @ Brann W 2-1 1563 1622 22.6% 25.7% 51.7% +9.0 29
2016-10-16 Sogndal D 0-0 1670 1582 55.2% 24.8% 20.0% -1.6 42
2016-10-16 @ Molde D 0-0 1582 1670 20.0% 24.8% 55.2% +1.6 36
2016-10-16 Stabaek D 1-1 1602 1568 48.6% 26.4% 25.1% -0.9 31
2016-10-16 @ Valerenga D 1-1 1568 1602 25.1% 26.4% 48.6% +1.0 28
2016-10-16 Tromso W 2-1 1382 1548 22.9% 25.8% 51.2% +9.0 15
2016-10-16 @ Start L 1-2 1548 1382 51.2% 25.8% 22.9% -9.0 30
2016-10-21 Aalesund L 2-3 1616 1555 52.0% 25.7% 22.3% -8.6 40
2016-10-21 @ Viking W 3-2 1555 1616 22.3% 25.7% 52.0% +8.6 38
2016-10-22 Molde W 2-1 1613 1668 36.3% 27.4% 36.3% +6.8 48
2016-10-22 @ Brann L 1-2 1668 1613 36.3% 27.4% 36.3% -6.9 42
2016-10-22 Sarpsborg 08 L 1-2 1569 1574 43.3% 27.1% 29.6% -7.8 28
2016-10-22 @ Stabaek W 2-1 1574 1569 29.6% 27.1% 43.3% +7.8 44
2016-10-23 Bodo Glimt W 2-1 1573 1540 48.5% 26.4% 25.1% +5.1 44
2016-10-23 @ Haugesund L 1-2 1540 1573 25.1% 26.4% 48.5% -5.1 30
2016-10-23 Odds L 1-2 1842 1664 65.1% 21.2% 13.7% -10.9 66
2016-10-23 @ Rosenborg W 2-1 1664 1842 13.7% 21.2% 65.1% +10.9 48
2016-10-23 Start D 1-1 1572 1391 65.4% 21.1% 13.6% -2.2 30
2016-10-23 @ Lillestrom D 1-1 1391 1572 13.6% 21.1% 65.4% +2.2 16
2016-10-23 Stromsgodset L 0-1 1584 1627 38.1% 27.4% 34.5% -7.5 36
2016-10-23 @ Sogndal W 1-0 1627 1584 34.5% 27.4% 38.1% +7.5 40
2016-10-23 Valerenga L 0-3 1539 1601 35.4% 27.4% 37.2% -19.5 30
2016-10-23 @ Tromso W 3-0 1601 1539 37.2% 27.4% 35.4% +19.5 34
2016-10-30 Brann L 1-2 1393 1620 17.8% 23.8% 58.4% -3.7 16
2016-10-30 @ Start W 2-1 1620 1393 58.4% 23.8% 17.8% +3.7 51
2016-10-30 Haugesund D 3-3 1563 1578 42.0% 27.2% 30.8% -0.3 39
2016-10-30 @ Aalesund D 3-3 1578 1563 30.8% 27.2% 42.0% +0.3 45
2016-10-30 Lillestrom D 1-1 1620 1570 50.7% 25.9% 23.4% -1.1 35
2016-10-30 @ Valerenga D 1-1 1570 1620 23.4% 25.9% 50.7% +1.1 31
2016-10-30 Rosenborg W 2-0 1634 1832 20.1% 24.9% 55.0% +19.0 43
2016-10-30 @ Stromsgodset L 0-2 1832 1634 55.0% 24.9% 20.1% -19.0 66
2016-10-30 Sogndal W 3-1 1675 1576 56.5% 24.4% 19.1% +6.9 51
2016-10-30 @ Odds L 1-3 1576 1675 19.1% 24.4% 56.5% -6.9 36
2016-10-30 Stabaek W 3-0 1661 1561 56.7% 24.4% 18.9% +11.5 45
2016-10-30 @ Molde L 0-3 1561 1661 18.9% 24.4% 56.7% -11.5 28
2016-10-30 Tromso D 2-2 1582 1519 52.2% 25.6% 22.2% -0.9 45
2016-10-30 @ Sarpsborg 08 D 2-2 1519 1582 22.2% 25.6% 52.2% +0.9 31
2016-10-30 Viking L 0-2 1535 1607 33.9% 27.4% 38.7% -13.0 30
2016-10-30 @ Bodo Glimt W 2-0 1607 1535 38.7% 27.4% 33.9% +13.0 43
2016-11-06 Aalesund L 2-4 1570 1563 45.0% 26.9% 28.1% -12.5 36
2016-11-06 @ Sogndal W 4-2 1563 1570 28.1% 26.9% 45.0% +12.5 42
2016-11-06 Bodo Glimt W 2-1 1813 1522 75.4% 16.0% 8.6% +1.6 69
2016-11-06 @ Rosenborg L 1-2 1522 1813 8.6% 16.0% 75.4% -1.6 30
2016-11-06 Molde W 1-0 1571 1673 30.0% 27.1% 42.9% +8.2 34
2016-11-06 @ Lillestrom L 0-1 1673 1571 42.9% 27.1% 30.0% -8.2 45
2016-11-06 Odds W 3-1 1520 1682 23.3% 25.9% 50.7% +15.4 34
2016-11-06 @ Tromso L 1-3 1682 1520 50.7% 25.9% 23.3% -15.4 51
2016-11-06 Sarpsborg 08 W 2-1 1623 1581 49.6% 26.2% 24.2% +5.0 54
2016-11-06 @ Brann L 1-2 1581 1623 24.2% 26.2% 49.6% -5.0 45
2016-11-06 Start W 3-0 1549 1389 63.2% 22.0% 14.8% +8.9 31
2016-11-06 @ Stabaek L 0-3 1389 1549 14.8% 22.0% 63.2% -8.9 16
2016-11-06 Stromsgodset D 1-1 1579 1653 33.6% 27.4% 39.0% +0.2 46
2016-11-06 @ Haugesund D 1-1 1653 1579 39.0% 27.4% 33.6% -0.2 44
2016-11-06 Valerenga L 0-2 1620 1619 44.2% 27.0% 28.8% -15.9 43
2016-11-06 @ Viking W 2-0 1619 1620 28.8% 27.0% 44.2% +15.9 38

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
2016-11-30 Stabaek W 1-0 1492 1558 34.8% 27.4% 37.9% +7.5 1-0
2016-11-30 @ Jerv L 0-1 1558 1492 37.9% 27.4% 34.8% -7.5 0-1
2016-12-04 Jerv W 2-0 1551 1500 50.8% 25.9% 23.3% +9.6 1-1
2016-12-04 @ Stabaek L 0-2 1500 1551 23.3% 25.9% 50.8% -9.6 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 2016-10-23 13.71% Odds 1664 2 @ Rosenborg 1842 1
2 2016-09-18 17.52% Stabaek 1560 1 @ Odds 1679 0
3 2016-07-31 17.81% Brann 1590 3 @ Odds 1705 1
4 2016-04-20 18.31% Brann 1529 1 @ Viking 1638 0
5 2016-07-01 18.77% Tromso 1520 4 @ Lillestrom 1622 2
6 2016-09-25 18.86% @ Start 1376 1 Haugesund 1589 0
7 2016-04-24 19.20% Lillestrom 1611 3 @ Odds 1708 1
8 2016-10-30 20.09% @ Stromsgodset 1634 2 Rosenborg 1832 0
9 2016-09-25 20.12% Aalesund 1530 1 @ Valerenga 1616 0
10 2016-07-23 20.71% Sarpsborg 08 1586 1 @ Molde 1665 0
11 2016-04-24 21.20% @ Sarpsborg 08 1534 4 Molde 1719 0
12 2016-08-28 21.30% Valerenga 1606 2 @ Odds 1679 1
13 2016-10-21 22.34% Aalesund 1555 3 @ Viking 1616 2
14 2016-07-10 22.55% Stabaek 1548 2 @ Lillestrom 1607 1
15 2016-10-16 22.58% Lillestrom 1563 2 @ Brann 1622 1
16 2016-10-16 22.95% @ Start 1382 2 Tromso 1548 1
17 2016-11-06 23.34% @ Tromso 1520 3 Odds 1682 1
18 2016-05-21 23.36% Tromso 1501 3 @ Stabaek 1552 0
19 2016-07-17 23.37% @ Bodo Glimt 1554 2 Odds 1715 1
20 2016-09-11 23.46% Bodo Glimt 1542 2 @ Sarpsborg 08 1592 1
21 2016-07-03 23.47% Viking 1634 1 @ Molde 1684 0
22 2016-04-20 23.57% Haugesund 1535 4 @ Bodo Glimt 1584 3
23 2016-05-11 24.54% @ Haugesund 1550 3 Odds 1700 1
24 2016-08-05 24.84% Aalesund 1520 2 @ Tromso 1556 1
25 2016-07-31 25.32% Tromso 1532 3 @ Bodo Glimt 1563 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 2016-04-24 35.21 @ Sarpsborg 08 4 1534 21.20% Molde 0 1719 53.52% 25.28%
2 2016-04-24 32.63 @ Aalesund 6 1535 43.29% Tromso 0 1541 29.64% 27.07%
3 2016-05-29 30.42 Stabaek 5 1526 38.80% @ Start 0 1453 33.84% 27.36%
4 2016-07-22 29.21 @ Brann 6 1561 47.63% Aalesund 0 1534 25.85% 26.51%
5 2016-05-21 25.78 Tromso 3 1501 23.36% @ Stabaek 0 1552 50.70% 25.94%
6 2016-07-31 24.77 Tromso 3 1532 25.32% @ Bodo Glimt 0 1563 48.28% 26.40%
7 2016-08-01 21.95 @ Valerenga 3 1564 31.36% Molde 0 1655 41.41% 27.23%
8 2016-04-17 21.90 @ Valerenga 4 1566 44.04% Tromso 0 1567 28.97% 26.99%
9 2016-05-08 20.62 Sogndal 4 1538 25.97% @ Aalesund 1 1564 47.50% 26.53%
10 2016-10-23 19.51 Valerenga 3 1601 37.25% @ Tromso 0 1539 35.36% 27.39%
11 2016-03-19 19.05 @ Haugesund 3 1529 38.39% Aalesund 0 1570 34.23% 27.37%
12 2016-10-30 19.00 @ Stromsgodset 2 1634 20.09% Rosenborg 0 1832 55.05% 24.86%
13 2016-07-17 18.47 @ Sarpsborg 08 3 1568 39.86% Lillestrom 0 1598 32.83% 27.32%
14 2016-09-18 18.23 @ Sogndal 3 1557 40.42% Sarpsborg 08 0 1583 32.29% 27.29%
15 2016-04-21 17.90 Sarpsborg 08 4 1516 33.04% @ Start 1 1484 39.64% 27.33%
16 2016-04-09 17.55 @ Lillestrom 4 1595 52.06% Sarpsborg 08 0 1534 22.30% 25.64%
17 2016-05-08 17.49 @ Valerenga 3 1572 42.27% Sarpsborg 08 0 1585 30.57% 27.16%
18 2016-07-31 17.25 Brann 3 1590 17.81% @ Odds 1 1705 58.36% 23.83%
19 2016-07-16 17.18 @ Haugesund 4 1573 35.11% Viking 1 1636 37.50% 27.39%
20 2016-04-24 16.75 Lillestrom 3 1611 19.20% @ Odds 1 1708 56.31% 24.49%
21 2016-04-10 16.45 @ Tromso 2 1550 27.13% Stromsgodset 0 1676 46.14% 26.74%
22 2016-07-24 16.43 @ Lillestrom 2 1580 27.18% Stromsgodset 0 1705 46.07% 26.75%
23 2016-08-07 16.37 Valerenga 2 1586 27.36% @ Sarpsborg 08 0 1599 45.87% 26.77%
24 2016-08-27 16.25 Molde 2 1659 27.71% @ Stromsgodset 0 1669 45.46% 26.83%
25 2016-11-06 15.90 Valerenga 2 1619 28.82% @ Viking 0 1620 44.21% 26.98%