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2014 Tippeligaen Season

240 games

Final

Champion

Molde

71 points

Relegated

No relegation

Biggest Overachiever

Molde

14.23 points above expected

71 points · 56.77 expected points

Biggest Disappointment

Sogndal

10.04 points below expected

24 points · 34.04 expected points

League Table

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

# Team GP W D L Pts GF GA GD SimPts vsSim
1 Molde 30 22 5 3 71 62 24 +38 56.77 +14.23
2 Rosenborg 30 18 6 6 60 64 43 +21 51.73 +8.27
3 Odds 30 17 7 6 58 52 32 +20 47.69 +10.31
4 Stromsgodset 30 15 5 10 50 48 42 +6 51.17 -1.17
5 Lillestrom 30 13 7 10 46 49 35 +14 43.72 +2.28
6 Valerenga 30 11 9 10 42 59 53 +6 44.10 -2.10
7 Aalesund 30 11 8 11 41 40 39 +1 41.49 -0.49
8 Sarpsborg 08 30 10 10 10 40 41 48 -7 37.27 +2.73
9 Stabaek 30 11 6 13 39 44 52 -8 31.76 +7.24
10 Viking 30 8 12 10 36 42 42 0 44.64 -8.64
11 Haugesund 30 10 6 14 36 43 49 -6 39.56 -3.56
12 Start 30 10 5 15 35 47 60 -13 37.62 -2.62
13 Bodo Glimt 30 10 5 15 35 45 60 -15 35.82 -0.82
14 Brann 30 8 5 17 29 41 54 -13 36.63 -7.63
15 Sogndal 30 6 6 18 24 31 49 -18 34.04 -10.04
16 Sandnes Ulf 30 4 10 16 22 27 53 -26 29.29 -7.29

Form

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

League Race

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

Season Summary

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

Team Elo Points Avg Luck Percentile Min 5th Q1 Median Q3 95th Max
Molde 1710 71 56.77 +14.23 98.7% 29 46 52 57 61 68 81
Rosenborg 1658 60 51.73 +8.27 89.5% 24 40 47 52 56 63 82
Odds 1619 58 47.69 +10.31 94.3% 23 36 43 48 52 59 73
Stromsgodset 1576 50 51.17 -1.17 46.1% 26 40 46 51 56 62 75
Lillestrom 1561 46 43.72 +2.28 65.2% 20 32 39 44 49 56 72
Aalesund 1560 41 41.49 -0.49 50.0% 16 30 37 42 46 53 70
Valerenga 1529 42 44.10 -2.10 40.9% 16 33 40 44 49 56 73
Viking 1504 36 44.64 -8.64 12.0% 19 33 40 45 49 56 72
Haugesund 1499 36 39.56 -3.56 32.5% 12 28 35 40 44 51 66
Sarpsborg 08 1476 40 37.27 +2.73 67.8% 13 26 33 37 42 49 70
Start 1460 35 37.62 -2.62 38.4% 11 26 33 38 42 49 64
Stabaek 1454 39 31.76 +7.24 87.3% 8 21 27 32 36 43 62
Brann 1448 29 36.63 -7.63 14.8% 14 26 32 37 41 48 61
Bodo Glimt 1426 35 35.82 -0.82 49.0% 13 25 31 36 40 47 62
Sogndal 1402 24 34.04 -10.04 8.1% 12 23 29 34 39 45 61
Sandnes Ulf 1370 22 29.29 -7.29 14.5% 6 19 25 29 34 40 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 SU S0 SOG STA STA STR VAL VIK
Aalesund —
1-1-0
3.14
0-0-2
3.15
2-0-0
2.68
0-2-0
2.68
0-0-2
1.70
0-1-1
2.22
0-1-1
2.29
2-0-0
3.69
0-1-1
2.97
0-2-0
3.29
2-0-0
3.37
1-0-1
2.92
1-0-1
2.16
1-0-1
2.56
1-0-1
2.59
Bodo Glimt
0-1-1
2.38
 —
2-0-0
2.56
2-0-0
2.47
0-0-2
2.34
0-1-1
1.42
0-0-2
1.93
0-1-1
1.86
0-1-1
3.38
0-0-2
2.80
2-0-0
2.76
0-1-1
2.92
1-0-1
2.61
0-0-2
2.02
1-0-1
2.32
2-0-0
2.09
Brann
2-0-0
2.36
0-0-2
2.95
 —
1-0-1
2.64
1-0-1
2.36
0-0-2
1.40
0-0-2
2.03
1-0-1
1.85
0-2-0
3.32
0-0-2
2.91
1-0-1
2.91
0-1-1
3.21
0-1-1
2.67
1-0-1
1.92
0-1-1
2.12
1-0-1
2.03
Haugesund
0-0-2
2.83
0-0-2
3.05
1-0-1
2.88
 —
0-1-1
2.67
1-1-0
1.41
0-1-1
2.31
1-0-1
1.87
1-1-0
3.26
2-0-0
2.80
0-0-2
3.27
2-0-0
3.26
1-0-1
2.87
1-0-1
1.95
0-1-1
2.60
0-1-1
2.60
Lillestrom
0-2-0
2.83
2-0-0
3.20
1-0-1
3.16
1-1-0
2.86
 —
0-0-2
1.95
2-0-0
2.42
0-0-2
2.41
1-1-0
3.58
0-1-1
3.45
2-0-0
3.34
1-0-1
3.67
1-0-1
3.34
1-0-1
2.30
1-1-0
2.57
0-1-1
2.69
Molde
2-0-0
3.85
1-1-0
4.17
2-0-0
4.17
0-1-1
4.17
2-0-0
3.59
 —
1-0-1
3.16
2-0-0
2.85
2-0-0
4.13
2-0-0
3.81
2-0-0
4.27
1-1-0
3.91
1-1-0
3.86
0-1-1
3.40
2-0-0
3.53
2-0-0
3.77
Odds
1-1-0
3.29
2-0-0
3.62
2-0-0
3.50
1-1-0
3.21
0-0-2
3.10
1-0-1
2.36
 —
0-0-2
2.56
1-1-0
3.62
1-1-0
3.50
1-1-0
3.40
2-0-0
3.75
2-0-0
3.42
1-0-1
2.40
1-1-0
3.09
1-1-0
2.84
Rosenborg
1-1-0
3.22
1-1-0
3.68
1-0-1
3.69
1-0-1
3.67
2-0-0
3.11
0-0-2
2.67
2-0-0
2.97
 —
2-0-0
4.18
1-1-0
3.61
2-0-0
3.84
0-0-2
4.21
2-0-0
3.63
1-1-0
2.86
1-1-0
3.29
1-1-0
3.11
Sandnes Ulf
0-0-2
1.84
1-1-0
2.14
0-2-0
2.22
0-1-1
2.27
0-1-1
1.94
0-0-2
1.45
0-1-1
1.94
0-0-2
1.40
 —
0-0-2
2.25
1-0-1
2.29
1-1-0
2.52
0-1-1
2.10
0-0-2
1.46
1-0-1
1.84
0-2-0
1.56
Sarpsborg 08
1-1-0
2.54
2-0-0
2.71
2-0-0
2.60
0-0-2
2.70
1-1-0
2.07
0-0-2
1.72
0-1-1
2.02
0-1-1
1.93
2-0-0
3.27
 —
1-1-0
3.08
0-1-1
3.24
0-1-1
2.75
0-1-1
1.92
1-1-0
2.29
0-1-1
2.33
Sogndal
0-2-0
2.23
0-0-2
2.76
1-0-1
2.60
2-0-0
2.25
0-0-2
2.17
0-0-2
1.31
0-1-1
2.12
0-0-2
1.71
1-0-1
3.22
0-1-1
2.44
 —
0-0-2
2.93
1-0-1
2.50
0-1-1
1.62
1-0-1
2.03
0-1-1
2.17
Stabaek
0-0-2
2.16
1-1-0
2.59
1-1-0
2.31
0-0-2
2.26
1-0-1
1.86
0-1-1
1.67
0-0-2
1.78
2-0-0
1.37
0-1-1
3.00
1-1-0
2.27
2-0-0
2.58
 —
1-0-1
2.49
2-0-0
1.51
0-0-2
1.88
0-1-1
2.06
Start
1-0-1
2.59
1-0-1
2.91
1-1-0
2.85
1-0-1
2.64
1-0-1
2.18
0-1-1
1.67
0-0-2
2.12
0-0-2
1.90
1-1-0
3.42
1-1-0
2.76
1-0-1
3.01
1-0-1
3.03
 —
0-0-2
1.96
0-1-1
2.32
1-0-1
2.36
Stromsgodset
1-0-1
3.36
2-0-0
3.52
1-0-1
3.61
1-0-1
3.59
1-0-1
3.22
1-1-0
2.11
1-0-1
3.13
0-1-1
2.67
2-0-0
4.11
1-1-0
3.62
1-1-0
3.92
0-0-2
4.05
2-0-0
3.57
 —
0-0-2
3.56
1-1-0
3.27
Valerenga
1-0-1
2.96
1-0-1
3.19
1-1-0
3.40
1-1-0
2.92
0-1-1
2.95
0-0-2
2.00
0-1-1
2.42
0-1-1
2.23
1-0-1
3.69
0-1-1
3.24
1-0-1
3.50
2-0-0
3.67
1-1-0
3.20
2-0-0
1.96
 —
0-2-0
2.72
Viking
1-0-1
2.92
0-0-2
3.44
1-0-1
3.51
1-1-0
2.91
1-1-0
2.83
0-0-2
1.77
0-1-1
2.69
0-1-1
2.42
0-2-0
4.00
1-1-0
3.18
1-1-0
3.36
1-1-0
3.48
1-0-1
3.16
0-1-1
2.25
0-2-0
2.79
 —

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 0.74 +11.3
Allowed 0.58 -10.0
Differential 0.92 +7.5

Scoreline Distribution

Percentage of games ending with each combination of team-goals (rows) and opponent-goals (columns). The diagonal shows draws; cells below the diagonal are wins from the row team's perspective, cells above are losses. Marginal totals on the right and bottom show how often each goal count occurred regardless of opponent. Use the picker to switch between the league-wide view and any individual team.

↓ Scored | Allowed →012345+Total
04.58%5.00%6.88%3.12%0.83%0.21%20.62%
15.00%11.67%9.58%3.96%2.50%0.62%33.33%
26.88%9.58%5.83%3.33%1.04%0.21%26.88%
33.12%3.96%3.33%0.83%0.83%0.21%12.29%
40.83%2.50%1.04%0.83%——5.21%
5+0.21%0.62%0.21%0.21%—0.42%1.67%
Total20.62%33.33%26.88%12.29%5.21%1.67%100%

Summary Statistics

Scored Allowed Difference
Mean 1.53 1.53 +0.00
SD 1.19 1.19 1.72
CV 0.78 0.78 —
Max 5 5 +5
Min 0 0 -5

Games Played: 240

↓ Scored | Allowed →012345+Total
06.67%10.00%3.33%6.67%—3.33%30.00%
1—13.33%10.00%———23.33%
26.67%16.67%6.67%3.33%——33.33%
310.00%—————10.00%
4—3.33%————3.33%
5+———————
Total23.33%43.33%20.00%10.00%—3.33%100%

Summary Statistics

Scored Allowed Difference
Mean 1.33 1.30 +0.03
SD 1.12 1.15 1.88
CV 0.84 0.88 —
Max 4 5 +3
Min 0 0 -5

Games Played: 30

↓ Scored | Allowed →012345+Total
0—3.33%3.33%3.33%6.67%—16.67%
13.33%13.33%20.00%6.67%——43.33%
2—16.67%3.33%———20.00%
3——6.67%—6.67%—13.33%
4——3.33%3.33%——6.67%
5+———————
Total3.33%33.33%36.67%13.33%13.33%—100%

Summary Statistics

Scored Allowed Difference
Mean 1.50 2.00 -0.50
SD 1.14 1.08 1.53
CV 0.76 0.54 —
Max 4 4 +2
Min 0 0 -4

Games Played: 30

↓ Scored | Allowed →012345+Total
0—13.33%—3.33%3.33%—20.00%
16.67%13.33%20.00%3.33%——43.33%
26.67%3.33%—3.33%3.33%3.33%20.00%
3—3.33%3.33%3.33%3.33%—13.33%
4—3.33%————3.33%
5+———————
Total13.33%36.67%23.33%13.33%10.00%3.33%100%

Summary Statistics

Scored Allowed Difference
Mean 1.37 1.80 -0.43
SD 1.07 1.32 1.59
CV 0.78 0.74 —
Max 4 5 +3
Min 0 0 -4

Games Played: 30

↓ Scored | Allowed →012345+Total
06.67%—6.67%6.67%——20.00%
13.33%13.33%16.67%3.33%6.67%—43.33%
210.00%6.67%—3.33%——20.00%
3—3.33%3.33%——3.33%10.00%
43.33%—————3.33%
5+—3.33%————3.33%
Total23.33%26.67%26.67%13.33%6.67%3.33%100%

Summary Statistics

Scored Allowed Difference
Mean 1.43 1.63 -0.20
SD 1.22 1.35 1.94
CV 0.85 0.83 —
Max 5 5 +4
Min 0 0 -3

Games Played: 30

↓ Scored | Allowed →012345+Total
013.33%3.33%10.00%———26.67%
13.33%6.67%6.67%6.67%——23.33%
213.33%6.67%3.33%6.67%——30.00%
33.33%—————3.33%
43.33%6.67%—3.33%——13.33%
5+—3.33%————3.33%
Total36.67%26.67%20.00%16.67%——100%

Summary Statistics

Scored Allowed Difference
Mean 1.63 1.17 +0.47
SD 1.45 1.12 1.83
CV 0.89 0.96 —
Max 5 3 +4
Min 0 0 -2

Games Played: 30

↓ Scored | Allowed →012345+Total
0——3.33%———3.33%
113.33%10.00%6.67%———30.00%
223.33%10.00%6.67%———40.00%
33.33%10.00%3.33%———16.67%
4——3.33%———3.33%
5+3.33%3.33%————6.67%
Total43.33%33.33%23.33%———100%

Summary Statistics

Scored Allowed Difference
Mean 2.07 0.80 +1.27
SD 1.17 0.81 1.44
CV 0.57 1.01 —
Max 5 2 +5
Min 0 0 -2

Games Played: 30

↓ Scored | Allowed →012345+Total
06.67%3.33%13.33%———23.33%
110.00%6.67%3.33%———20.00%
23.33%16.67%10.00%———30.00%
33.33%10.00%————13.33%
43.33%6.67%—3.33%——13.33%
5+———————
Total26.67%43.33%26.67%3.33%——100%

Summary Statistics

Scored Allowed Difference
Mean 1.73 1.07 +0.67
SD 1.34 0.83 1.58
CV 0.77 0.78 —
Max 4 3 +4
Min 0 0 -2

Games Played: 30

↓ Scored | Allowed →012345+Total
0——3.33%———3.33%
16.67%10.00%3.33%10.00%3.33%—33.33%
213.33%6.67%10.00%———30.00%
33.33%10.00%6.67%———20.00%
4—3.33%3.33%———6.67%
5+——3.33%3.33%——6.67%
Total23.33%30.00%30.00%13.33%3.33%—100%

Summary Statistics

Scored Allowed Difference
Mean 2.13 1.43 +0.70
SD 1.25 1.10 1.66
CV 0.59 0.77 —
Max 5 4 +3
Min 0 0 -3

Games Played: 30

↓ Scored | Allowed →012345+Total
06.67%6.67%10.00%6.67%——30.00%
16.67%16.67%10.00%16.67%3.33%—53.33%
2—6.67%6.67%———13.33%
3———3.33%——3.33%
4———————
5+———————
Total13.33%30.00%26.67%26.67%3.33%—100%

Summary Statistics

Scored Allowed Difference
Mean 0.90 1.77 -0.87
SD 0.76 1.10 1.25
CV 0.84 0.63 —
Max 3 4 +1
Min 0 0 -3

Games Played: 30

↓ Scored | Allowed →012345+Total
010.00%3.33%13.33%—3.33%—30.00%
1—16.67%—3.33%3.33%3.33%26.67%
23.33%10.00%6.67%3.33%——23.33%
36.67%3.33%6.67%———16.67%
4———3.33%——3.33%
5+———————
Total20.00%33.33%26.67%10.00%6.67%3.33%100%

Summary Statistics

Scored Allowed Difference
Mean 1.37 1.60 -0.23
SD 1.19 1.30 1.79
CV 0.87 0.81 —
Max 4 5 +3
Min 0 0 -4

Games Played: 30

↓ Scored | Allowed →012345+Total
06.67%16.67%6.67%6.67%——36.67%
13.33%10.00%10.00%10.00%——33.33%
23.33%6.67%3.33%3.33%6.67%—23.33%
33.33%—————3.33%
4—3.33%————3.33%
5+———————
Total16.67%36.67%20.00%20.00%6.67%—100%

Summary Statistics

Scored Allowed Difference
Mean 1.03 1.63 -0.60
SD 1.03 1.19 1.54
CV 1.00 0.73 —
Max 4 4 +3
Min 0 0 -3

Games Played: 30

↓ Scored | Allowed →012345+Total
0—3.33%10.00%6.67%——20.00%
1—16.67%10.00%3.33%3.33%3.33%36.67%
26.67%10.00%3.33%3.33%——23.33%
33.33%3.33%10.00%———16.67%
4—3.33%————3.33%
5+———————
Total10.00%36.67%33.33%13.33%3.33%3.33%100%

Summary Statistics

Scored Allowed Difference
Mean 1.47 1.73 -0.27
SD 1.11 1.14 1.84
CV 0.75 0.66 —
Max 4 5 +3
Min 0 0 -4

Games Played: 30

↓ Scored | Allowed →012345+Total
0—6.67%6.67%———13.33%
13.33%10.00%10.00%—6.67%3.33%33.33%
2—16.67%3.33%10.00%6.67%—36.67%
3—10.00%3.33%3.33%——16.67%
4———————
5+———————
Total3.33%43.33%23.33%13.33%13.33%3.33%100%

Summary Statistics

Scored Allowed Difference
Mean 1.57 2.00 -0.43
SD 0.94 1.26 1.57
CV 0.60 0.63 —
Max 3 5 +2
Min 0 0 -4

Games Played: 30

↓ Scored | Allowed →012345+Total
06.67%3.33%6.67%6.67%——23.33%
16.67%6.67%3.33%—6.67%—23.33%
210.00%13.33%3.33%6.67%——33.33%
3—6.67%3.33%———10.00%
43.33%3.33%3.33%———10.00%
5+———————
Total26.67%33.33%20.00%13.33%6.67%—100%

Summary Statistics

Scored Allowed Difference
Mean 1.60 1.40 +0.20
SD 1.25 1.22 1.88
CV 0.78 0.87 —
Max 4 4 +4
Min 0 0 -3

Games Played: 30

↓ Scored | Allowed →012345+Total
0——10.00%3.33%——13.33%
13.33%6.67%10.00%—3.33%—23.33%
23.33%3.33%16.67%3.33%——26.67%
313.33%3.33%6.67%3.33%3.33%—30.00%
4—3.33%————3.33%
5+—————3.33%3.33%
Total20.00%16.67%43.33%10.00%6.67%3.33%100%

Summary Statistics

Scored Allowed Difference
Mean 1.97 1.77 +0.20
SD 1.25 1.28 1.77
CV 0.63 0.72 —
Max 5 5 +3
Min 0 0 -3

Games Played: 30

↓ Scored | Allowed →012345+Total
010.00%6.67%3.33%———20.00%
110.00%16.67%13.33%—3.33%—43.33%
26.67%3.33%10.00%6.67%——26.67%
3———————
4—3.33%3.33%———6.67%
5+—————3.33%3.33%
Total26.67%30.00%30.00%6.67%3.33%3.33%100%

Summary Statistics

Scored Allowed Difference
Mean 1.40 1.40 +0.00
SD 1.22 1.25 1.26
CV 0.87 0.89 —
Max 5 5 +3
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 Molde 71 56.77 +14.23
2 Odds 58 47.69 +10.31
3 Rosenborg 60 51.73 +8.27
4 Stabaek 39 31.76 +7.24
5 Sarpsborg 08 40 37.27 +2.73

Biggest Disappointments

# Team Actual Sim vsSim
1 Sogndal 24 34.04 -10.04
2 Viking 36 44.64 -8.64
3 Brann 29 36.63 -7.63
4 Sandnes Ulf 22 29.29 -7.29
5 Haugesund 36 39.56 -3.56

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 Haugesund 4 Oct 5 – Nov 2 1 in 144
2 Stabaek 3 May 11 – May 20 1 in 105
3 Bodo Glimt 4 May 10 – May 25 1 in 90
4 Rosenborg 6 Sep 28 – Nov 9 1 in 90
5 Viking 4 Apr 12 – May 1 1 in 56

Most Unlikely Losing Streaks

# Team Games Dates Probability
1 Stromsgodset 3 Aug 23 – Sep 13 1 in 110
2 Viking 5 Aug 31 – Oct 4 1 in 100
3 Brann 5 May 16 – Jun 12 1 in 76
4 Bodo Glimt 5 Jul 6 – Aug 3 1 in 72
5 Sogndal 5 Oct 5 – Nov 9 1 in 46

Most Unlikely Unbeaten Streaks

# Team Games Dates Probability
1 Molde 24 Apr 13 – Oct 4 1 in 451
2 Odds 15 May 16 – Sep 13 1 in 132
3 Viking 9 Mar 29 – May 16 1 in 72
4 Sogndal 6 May 11 – Jun 12 1 in 24
5 Sandnes Ulf 4 Aug 10 – Aug 31 1 in 21

Most Unlikely Winless Streaks

# Team Games Dates Probability
1 Viking 8 Aug 22 – Oct 26 1 in 56
2 Sogndal 11 Jul 5 – Sep 21 1 in 41
3 Start 7 Apr 27 – May 25 1 in 26
4 Valerenga 5 Aug 2 – Aug 30 1 in 23
5 Sandnes Ulf 12 Jun 12 – Sep 19 1 in 19

Finish Position Heatmap

Each cell is the probability — across 100,000 simulations — that the team (row) finished at that position (column). Rows are sorted by actual finish (champion at top, bottom of the table at the bottom).

Team12345678910111213141516
Molde49.28%21.33%12.27%7.07%4.08%2.28%1.48%0.93%0.49%0.38%0.19%0.12%0.06%0.02%0.01%0.01%
Rosenborg17.87%21.63%17.37%13.09%9.65%6.63%4.68%2.94%2.31%1.44%1.14%0.63%0.36%0.18%0.05%0.03%
Odds7.13%12.38%13.94%13.86%12.12%10.42%8.35%6.24%4.63%3.65%2.79%1.81%1.21%0.76%0.51%0.20%
Stromsgodset14.82%19.30%17.62%13.74%10.31%7.36%5.45%4.19%2.58%1.89%1.10%0.80%0.41%0.25%0.10%0.08%
Lillestrom2.59%5.59%7.95%9.80%10.46%10.74%9.89%9.37%8.26%6.37%5.90%4.92%3.52%2.52%1.46%0.66%
Valerenga2.45%5.45%7.97%10.17%10.76%11.06%10.81%9.71%8.34%6.80%5.24%4.04%3.06%2.27%1.24%0.63%
Aalesund1.10%2.87%4.85%6.75%8.63%9.76%9.59%9.66%9.29%8.94%7.76%6.12%5.49%4.47%2.94%1.78%
Sarpsborg 080.31%0.93%1.63%2.53%3.96%5.07%6.87%7.82%8.50%9.20%10.52%10.19%9.96%9.14%8.04%5.33%
Stabaek0.03%0.09%0.23%0.54%1.00%1.49%2.37%2.70%4.74%6.31%7.24%9.38%11.74%14.35%18.42%19.37%
Viking3.04%6.38%8.34%10.01%11.38%11.04%10.52%9.36%7.85%6.51%5.03%3.75%3.19%2.09%1.13%0.38%
Haugesund0.74%1.61%2.96%4.40%5.53%7.60%8.49%10.26%9.69%9.56%9.13%8.77%7.36%6.15%5.02%2.73%
Start0.29%0.98%1.79%2.85%4.00%5.46%6.68%7.65%8.76%9.97%10.00%9.77%10.04%9.58%7.40%4.78%
Bodo Glimt0.15%0.49%0.94%1.66%2.94%3.84%4.68%6.02%7.92%8.75%9.84%11.28%11.50%11.36%10.24%8.39%
Brann0.16%0.73%1.39%2.09%3.11%4.15%5.49%6.78%8.58%9.90%10.32%11.11%10.31%10.79%8.79%6.30%
Sogndal0.04%0.23%0.65%1.19%1.71%2.46%3.73%4.78%5.71%7.08%9.03%10.69%12.22%13.08%14.10%13.30%
Sandnes Ulf—0.01%0.10%0.25%0.36%0.64%0.92%1.59%2.35%3.25%4.77%6.62%9.57%12.99%20.55%36.03%

Points Required Per Position

The empirical CDF of simulated point totals per finishing position. Each curve shows, for one position (1st, 2nd, ..., last), the spread of point totals teams accumulated across simulations. Reading the curve at the 50% mark gives the median points typically needed to finish at that position. Steep curves mean the position is tightly clustered around a particular point range; shallow curves mean the position came with a wide variety of point totals.

Points Totals in Context

How did each team's actual results compare to their simulated points, Elo rating, average opponent Elo, and percentile within simulated outcomes? Use the buttons to switch between views. In each chart, dashed crosshairs at the league means split the plot into four quadrants: pastel green (team did well, model agreed), pastel red (team did poorly, model agreed), and pastel yellow (model and reality disagreed).

Season Trends

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

Edges & Scoring

How these are measured

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

Home Edge
Share of matches won by the home team minus the share won by the away team.
No Edge: under 5% * Slight Edge: 5% to 15% * Clear Edge: 15% to 25% * Strong Edge: 25% and up.
Elo Value
Number of Elo rating points one goal is worth. A team this many Elo points better than another is expected to win by one goal on a neutral field.
Scoring Tilt
Average home goals minus average away goals per match. The gold line is the home goals edge implied by the scoring value of an Elo point and the home-field Elo bonus.
Road-Tilted: under -0.2 * Neutral: -0.2 to 0.5 * Home-Tilted: 0.5 to 1.2 * Strong Home: 1.2 and up.
Home Edge
HomeDrawAway
+19.17%
Clear Edge
47.92%23.33%28.75%
Elo Value
Home Edge
176 Elo
0.006 goals per Elo point
067.43500
Scoring Tilt
Expected
+0.50 goals
Neutral
-2+0.38+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
3.3
Top-Heavy
124610
Champion Preseason Odds
49%
Molde, 1st of 16
LongshotFavorite
Title Margin
Expected
0.37/gm
Tight Race
00.170.5/gm

Simulation-Based Surprises

How these are measured

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

Luck Spread
Standard deviation of the gap between each team's actual points and their simulated average points. The gold line is the spread the model expected from chance alone.
As Expected: under 5.5 * Some Luck: 5.5 to 8.25 * Lucky: 8.25 to 11 * Wild Swing: 11 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 2.07 * Close: 2.07 to 3.1 * Off: 3.1 to 4.13 * Way Off: 4.13 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
6.87 points
Some Luck
06.8717
Average Finish Error
Expected
1.62
Pinpoint
02.586
Biggest Overachiever
Expected 96.88%
98.68%
Molde
50100
Biggest Underachiever
Expected 3.12%
8.05%
Sogndal
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
0.17
Even
00.120.180.260.5
Noll-Scully
Coin-flip
1.59
Moderate Separation
01.003
Interquartile Edge
65%
Slight Edge
50%60%70%80%100%
Best vs. Worst
Baseline
88%
Strong Edge
50%88%100%
Close Games
Expected
61%
Very Frequent
0%62%100%
Blowouts
Expected
15%
Frequent
0%15%100%

Predictability

How these are measured

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

Brier Score
How close the pregame probabilities landed to the actual result, averaged over the season. Confident, correct calls are rewarded most; confident misses are punished most. Lower is better; since draws are possible, a score under 0.66 beats guessing the base rate.
Highly Predictable: under 0.56 * Predictable: 0.56 to 0.62 * Hard to Predict: 0.62 to 0.66 * Coin-Flip: 0.66 and up.
Matchup Imbalance
How lopsided the matchups were on paper, averaging the gap between the two win probabilities over their sum. 0 means every match was a toss-up; 1 means every match was a heavy favorite against a big underdog.
Very Even: under 0.1 * Slight Separation: 0.1 to 0.18 * Notable Separation: 0.18 to 0.28 * Lopsided: 0.28 and up.
Strangeness
How wild the final table was versus what the model expected. A value of 1 means teams landed about one standard deviation from their projections on average. Above 1 is a stranger season; below 1 hugged the projections.
Very Predictable: under 0.8 * As Expected: 0.8 to 1.1 * Wilder Than Modeled: 1.1 to 1.4 * Chaotic: 1.4 and up.
Repeatability
How closely the final table order matched the preseason Elo order, by Spearman rank correlation. Higher means last season's ratings strongly predicted this season's finish. Shows N/A for an inaugural season.
Weak Carryover: under 0.3 * Some Carryover: 0.3 to 0.6 * Strong Carryover: 0.6 to 0.85 * Near-Lock: 0.85 and up.
Upset Rate
Share of matches the underdog won. The gold line is how often the model expected underdogs to win; a dot to the right means upsets ran hotter than expected.
Chalky: under 25% * As Expected: 25% to 33% * Upset-Prone: 33% to 42% * Very Upset-Prone: 42% and up.
Clear Favorite Upset Rate
Share of matches the underdog won, counting only games with a clear favorite (at least 60% likely to win once a draw is set aside). The gold line is how often the model expected these favorites to slip.
Solid Favorites: under 15% * As Expected: 15% to 25% * Shaky Favorites: 25% to 35% * Very Shaky: 35% and up.
Brier Score
Expected
0.60
Predictable
00.612
Matchup Imbalance
0.31
Lopsided
00.10.180.280.5
Strangeness
Expected
1.01
As Expected
01.002
Repeatability
0.61
Strong Carryover
00.30.60.851
Upset Rate
Expected
25%
Chalky
0%26%50%
Clear Favorite Upset Rate
Expected
20%
As Expected
0%22%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
0.38
Well Calibrated
0.010.050.10.51
Calibration slope
Ideal
1.08
Calibrated
0.51.001.5
Calibration error (ECE)
Noise ceiling
0.052
Well Within Noise
00.1110.25

Next-Season Status

Across 100,000 regular-season simulations, the probability of each team's next-season status. Columns appear in best-to-worst outcome order: promotion-positive on the left, relegation-positive on the right. Cells with darker shading indicate higher likelihood.

Team Same level Lost relegation playoff Direct relegation
Molde 99.96% 0.02% 0.02%
Rosenborg 99.74% 0.18% 0.08%
Stromsgodset 99.57% 0.25% 0.18%
Odds 98.53% 0.76% 0.71%
Viking 96.40% 2.09% 1.51%
Valerenga 95.86% 2.27% 1.87%
Lillestrom 95.36% 2.52% 2.12%
Aalesund 90.81% 4.47% 4.72%
Haugesund 86.10% 6.15% 7.75%
Start 78.24% 9.58% 12.18%
Sarpsborg 08 77.49% 9.14% 13.37%
Bodo Glimt 70.01% 11.36% 18.63%
Sogndal 59.52% 13.08% 27.40%
Stabaek 47.86% 14.35% 37.79%
Sandnes Ulf 30.43% 12.99% 56.58%
Brann — 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
2014-03-28 Valerenga W 2-0 1559 1499 54.4% 23.5% 22.2% +10.7 3
2014-03-28 @ Molde L 0-2 1499 1559 22.2% 23.5% 54.4% -10.7 0
2014-03-29 Lillestrom D 1-1 1534 1503 50.9% 24.0% 25.1% -1.3 1
2014-03-29 @ Haugesund D 1-1 1503 1534 25.1% 24.0% 50.9% +1.2 1
2014-03-29 Viking D 2-2 1606 1531 56.0% 23.2% 20.8% -1.3 1
2014-03-29 @ Rosenborg D 2-2 1531 1606 20.8% 23.2% 56.0% +1.3 1
2014-03-30 Aalesund D 1-1 1491 1538 40.6% 24.7% 34.7% -0.3 1
2014-03-30 @ Bodo Glimt D 1-1 1538 1491 34.7% 24.7% 40.6% +0.3 1
2014-03-30 Brann W 3-0 1483 1515 42.7% 24.6% 32.6% +21.5 3
2014-03-30 @ Sarpsborg 08 L 0-3 1515 1483 32.6% 24.6% 42.7% -21.5 0
2014-03-30 Odds D 1-1 1466 1530 38.1% 24.8% 37.2% -0.0 1
2014-03-30 @ Sandnes Ulf D 1-1 1530 1466 37.2% 24.8% 38.1% +0.0 1
2014-03-30 Sogndal W 3-0 1421 1477 39.2% 24.7% 36.1% +23.3 3
2014-03-30 @ Stabaek L 0-3 1477 1421 36.1% 24.7% 39.2% -23.3 0
2014-03-30 Start W 4-2 1615 1508 59.5% 22.4% 18.1% +6.9 3
2014-03-30 @ Stromsgodset L 2-4 1508 1615 18.1% 22.4% 59.5% -6.9 0
2014-04-04 Stromsgodset D 0-0 1532 1622 34.6% 24.7% 40.7% +0.3 2
2014-04-04 @ Viking D 0-0 1622 1532 40.7% 24.7% 34.6% -0.3 4
2014-04-05 Molde W 2-1 1530 1570 41.6% 24.7% 33.7% +7.6 4
2014-04-05 @ Odds L 1-2 1570 1530 33.7% 24.7% 41.6% -7.6 3
2014-04-05 Rosenborg D 1-1 1538 1604 37.9% 24.8% 37.4% -0.0 2
2014-04-05 @ Aalesund D 1-1 1604 1538 37.4% 24.8% 37.9% +0.0 2
2014-04-06 Bodo Glimt W 3-1 1489 1491 46.6% 24.4% 29.0% +11.7 3
2014-04-06 @ Valerenga L 1-3 1491 1489 29.0% 24.4% 46.6% -11.7 1
2014-04-06 Haugesund W 3-1 1501 1533 42.7% 24.6% 32.6% +12.8 3
2014-04-06 @ Start L 1-3 1533 1501 32.6% 24.6% 42.7% -12.8 1
2014-04-06 Sandnes Ulf W 4-1 1504 1466 51.8% 23.8% 24.3% +14.3 4
2014-04-06 @ Lillestrom L 1-4 1466 1504 24.3% 23.8% 51.8% -14.3 1
2014-04-06 Sarpsborg 08 D 1-1 1454 1505 40.0% 24.7% 35.3% -0.2 1
2014-04-06 @ Sogndal D 1-1 1505 1454 35.3% 24.7% 40.0% +0.2 4
2014-04-06 Stabaek L 1-2 1493 1444 53.1% 23.7% 23.2% -10.9 0
2014-04-06 @ Brann W 2-1 1444 1493 23.2% 23.7% 53.1% +11.0 6
2014-04-11 Brann D 1-1 1452 1482 42.8% 24.6% 32.6% -0.5 2
2014-04-11 @ Sandnes Ulf D 1-1 1482 1452 32.6% 24.6% 42.8% +0.5 1
2014-04-12 Valerenga D 1-1 1520 1500 49.5% 24.1% 26.4% -1.1 2
2014-04-12 @ Haugesund D 1-1 1500 1520 26.4% 24.1% 49.5% +1.1 4
2014-04-12 Viking L 0-1 1518 1533 45.0% 24.5% 30.5% -10.1 4
2014-04-12 @ Lillestrom W 1-0 1533 1518 30.5% 24.5% 45.0% +10.1 5
2014-04-13 Aalesund W 2-0 1621 1538 57.0% 23.0% 20.0% +9.8 7
2014-04-13 @ Stromsgodset L 0-2 1538 1621 20.0% 23.0% 57.0% -9.8 2
2014-04-13 Molde L 0-2 1455 1562 32.1% 24.6% 43.3% -14.6 6
2014-04-13 @ Stabaek W 2-0 1562 1455 43.3% 24.6% 32.1% +14.6 6
2014-04-13 Odds W 2-0 1604 1538 55.1% 23.3% 21.6% +10.5 5
2014-04-13 @ Rosenborg L 0-2 1538 1604 21.6% 23.3% 55.1% -10.5 4
2014-04-13 Sogndal W 4-2 1479 1454 50.2% 24.1% 25.7% +9.5 4
2014-04-13 @ Bodo Glimt L 2-4 1454 1479 25.7% 24.1% 50.2% -9.5 1
2014-04-13 Start D 1-1 1505 1514 45.8% 24.5% 29.8% -0.8 5
2014-04-13 @ Sarpsborg 08 D 1-1 1514 1505 29.8% 24.5% 45.8% +0.8 4
2014-04-21 Haugesund W 2-0 1543 1519 50.0% 24.1% 25.9% +12.3 8
2014-04-21 @ Viking L 0-2 1519 1543 25.9% 24.1% 50.0% -12.3 2
2014-04-21 Lillestrom W 2-0 1483 1508 43.5% 24.6% 31.9% +14.6 4
2014-04-21 @ Brann L 0-2 1508 1483 31.9% 24.6% 43.5% -14.5 4
2014-04-21 Rosenborg D 2-2 1489 1615 29.8% 24.5% 45.8% +0.6 5
2014-04-21 @ Bodo Glimt D 2-2 1615 1489 45.8% 24.5% 29.8% -0.6 6
2014-04-21 Sandnes Ulf W 3-0 1501 1451 53.2% 23.6% 23.1% +16.2 7
2014-04-21 @ Valerenga L 0-3 1451 1501 23.1% 23.6% 53.2% -16.2 2
2014-04-21 Sarpsborg 08 W 5-1 1577 1504 55.8% 23.2% 21.0% +16.2 9
2014-04-21 @ Molde L 1-5 1504 1577 21.0% 23.2% 55.8% -16.2 5
2014-04-21 Stabaek W 2-1 1527 1440 57.5% 22.9% 19.7% +4.8 7
2014-04-21 @ Odds L 1-2 1440 1527 19.7% 22.9% 57.5% -4.8 6
2014-04-21 Start L 1-2 1529 1515 48.7% 24.2% 27.1% -10.2 2
2014-04-21 @ Aalesund W 2-1 1515 1529 27.1% 24.2% 48.7% +10.2 7
2014-04-21 Stromsgodset L 1-3 1444 1631 22.9% 23.6% 53.4% -9.6 1
2014-04-21 @ Sogndal W 3-1 1631 1444 53.4% 23.6% 22.9% +9.6 10
2014-04-27 Bodo Glimt W 2-1 1435 1489 39.5% 24.7% 35.7% +8.0 9
2014-04-27 @ Stabaek L 1-2 1489 1435 35.7% 24.7% 39.5% -7.9 5
2014-04-27 Brann W 5-2 1614 1497 60.6% 22.2% 17.3% +9.0 9
2014-04-27 @ Rosenborg L 2-5 1497 1614 17.3% 22.2% 60.6% -9.0 4
2014-04-27 Molde L 1-3 1435 1593 26.0% 24.1% 49.9% -10.7 2
2014-04-27 @ Sandnes Ulf W 3-1 1593 1435 49.9% 24.1% 26.0% +10.7 12
2014-04-27 Odds W 2-1 1641 1532 59.7% 22.4% 17.9% +4.4 13
2014-04-27 @ Stromsgodset L 1-2 1532 1641 17.9% 22.4% 59.7% -4.4 7
2014-04-27 Sogndal L 0-3 1507 1435 55.7% 23.2% 21.0% -33.2 2
2014-04-27 @ Haugesund W 3-0 1435 1507 21.0% 23.2% 55.7% +33.2 4
2014-04-27 Viking L 0-2 1525 1555 42.9% 24.6% 32.5% -18.3 7
2014-04-27 @ Start W 2-0 1555 1525 32.5% 24.6% 42.9% +18.3 11
2014-04-28 Aalesund D 0-0 1494 1518 43.6% 24.6% 31.8% -0.6 5
2014-04-28 @ Lillestrom D 0-0 1518 1494 31.8% 24.6% 43.6% +0.6 3
2014-04-28 Valerenga W 3-0 1488 1518 43.0% 24.6% 32.4% +21.4 8
2014-04-28 @ Sarpsborg 08 L 0-3 1518 1488 32.4% 24.6% 43.0% -21.4 7
2014-04-30 Haugesund L 1-3 1488 1473 48.9% 24.2% 26.9% -17.7 4
2014-04-30 @ Brann W 3-1 1473 1488 26.9% 24.2% 48.9% +17.7 5
2014-04-30 Stabaek W 2-1 1424 1443 44.4% 24.6% 31.0% +7.1 5
2014-04-30 @ Sandnes Ulf L 1-2 1443 1424 31.0% 24.6% 44.4% -7.1 9
2014-05-01 Lillestrom L 1-2 1481 1493 45.4% 24.5% 30.1% -9.6 5
2014-05-01 @ Bodo Glimt W 2-1 1493 1481 30.1% 24.5% 45.4% +9.6 8
2014-05-01 Rosenborg L 1-2 1468 1623 26.3% 24.1% 49.6% -6.2 4
2014-05-01 @ Sogndal W 2-1 1623 1468 49.6% 24.1% 26.3% +6.2 12
2014-05-01 Sarpsborg 08 W 2-0 1528 1510 49.3% 24.2% 26.6% +12.5 10
2014-05-01 @ Odds L 0-2 1510 1528 26.6% 24.2% 49.3% -12.5 8
2014-05-01 Start W 2-0 1604 1507 58.5% 22.7% 18.9% +9.3 15
2014-05-01 @ Molde L 0-2 1507 1604 18.9% 22.7% 58.5% -9.3 7
2014-05-01 Stromsgodset W 3-0 1496 1645 27.0% 24.2% 48.8% +29.5 10
2014-05-01 @ Valerenga L 0-3 1645 1496 48.8% 24.2% 27.0% -29.5 13
2014-05-01 Viking L 1-2 1519 1574 39.5% 24.7% 35.8% -8.6 3
2014-05-01 @ Aalesund W 2-1 1574 1519 35.8% 24.7% 39.5% +8.6 14
2014-05-04 Aalesund L 1-2 1491 1510 44.4% 24.6% 31.1% -9.4 5
2014-05-04 @ Haugesund W 2-1 1510 1491 31.1% 24.6% 44.4% +9.4 6
2014-05-04 Bodo Glimt W 2-0 1616 1472 63.3% 21.4% 15.3% +7.6 16
2014-05-04 @ Stromsgodset L 0-2 1472 1616 15.3% 21.4% 63.3% -7.6 5
2014-05-04 Brann D 1-1 1498 1471 50.4% 24.0% 25.6% -1.2 8
2014-05-04 @ Start D 1-1 1471 1498 25.6% 24.0% 50.4% +1.2 5
2014-05-04 Molde L 0-2 1629 1613 49.1% 24.2% 26.7% -20.5 12
2014-05-04 @ Rosenborg W 2-0 1613 1629 26.7% 24.2% 49.1% +20.5 18
2014-05-04 Sandnes Ulf W 2-1 1497 1431 55.0% 23.4% 21.6% +5.2 11
2014-05-04 @ Sarpsborg 08 L 1-2 1431 1497 21.6% 23.4% 55.0% -5.2 5
2014-05-04 Sogndal W 2-0 1503 1462 52.1% 23.8% 24.1% +11.5 11
2014-05-04 @ Lillestrom L 0-2 1462 1503 24.1% 23.8% 52.1% -11.5 4
2014-05-05 Odds D 1-1 1582 1540 52.2% 23.8% 24.0% -1.4 15
2014-05-05 @ Viking D 1-1 1540 1582 24.0% 23.8% 52.2% +1.4 11
2014-05-05 Valerenga L 0-3 1436 1526 34.5% 24.7% 40.8% -22.5 9
2014-05-05 @ Stabaek W 3-0 1526 1436 40.8% 24.7% 34.5% +22.5 13
2014-05-10 Brann L 0-1 1520 1472 53.0% 23.7% 23.4% -11.6 6
2014-05-10 @ Aalesund W 1-0 1472 1520 23.4% 23.7% 53.0% +11.6 8
2014-05-10 Haugesund W 2-1 1464 1482 44.6% 24.5% 30.8% +7.1 8
2014-05-10 @ Bodo Glimt L 1-2 1482 1464 30.8% 24.5% 44.6% -7.1 5
2014-05-11 Lillestrom L 0-2 1542 1514 50.5% 24.0% 25.5% -21.0 11
2014-05-11 @ Odds W 2-0 1514 1542 25.5% 24.0% 50.5% +20.9 14
2014-05-11 Sarpsborg 08 W 3-2 1414 1502 34.6% 24.7% 40.7% +8.3 12
2014-05-11 @ Stabaek L 2-3 1502 1414 40.7% 24.7% 34.6% -8.3 11
2014-05-11 Start W 2-1 1450 1496 40.6% 24.7% 34.6% +7.8 7
2014-05-11 @ Sogndal L 1-2 1496 1450 34.6% 24.7% 40.6% -7.8 8
2014-05-11 Stromsgodset D 2-2 1633 1623 48.3% 24.3% 27.5% -0.7 19
2014-05-11 @ Molde D 2-2 1623 1633 27.5% 24.3% 48.3% +0.7 17
2014-05-11 Viking D 1-1 1548 1581 42.6% 24.6% 32.8% -0.5 14
2014-05-11 @ Valerenga D 1-1 1581 1548 32.8% 24.6% 42.6% +0.5 16
2014-05-12 Rosenborg L 0-2 1426 1609 23.4% 23.7% 53.0% -11.2 5
2014-05-12 @ Sandnes Ulf W 2-0 1609 1426 53.0% 23.7% 23.4% +11.2 15
2014-05-16 Bodo Glimt L 1-2 1484 1471 48.5% 24.2% 27.2% -10.1 8
2014-05-16 @ Brann W 2-1 1471 1484 27.2% 24.2% 48.5% +10.1 11
2014-05-16 Molde L 1-2 1535 1633 33.5% 24.7% 41.9% -7.6 14
2014-05-16 @ Lillestrom W 2-1 1633 1535 41.9% 24.7% 33.5% +7.6 22
2014-05-16 Odds L 1-2 1475 1521 40.6% 24.7% 34.6% -8.8 5
2014-05-16 @ Haugesund W 2-1 1521 1475 34.6% 24.7% 40.6% +8.8 14
2014-05-16 Sandnes Ulf D 2-2 1581 1415 65.4% 20.8% 13.9% -2.0 17
2014-05-16 @ Viking D 2-2 1415 1581 13.9% 20.8% 65.4% +2.0 6
2014-05-16 Sarpsborg 08 W 4-1 1624 1494 61.9% 21.8% 16.3% +9.9 20
2014-05-16 @ Stromsgodset L 1-4 1494 1624 16.3% 21.8% 61.9% -9.8 11
2014-05-16 Sogndal D 2-2 1508 1458 53.2% 23.6% 23.1% -1.1 7
2014-05-16 @ Aalesund D 2-2 1458 1508 23.1% 23.6% 53.2% +1.1 8
2014-05-16 Stabaek L 1-3 1620 1422 68.2% 19.8% 12.0% -23.5 15
2014-05-16 @ Rosenborg W 3-1 1422 1620 12.0% 19.8% 68.2% +23.5 15
2014-05-16 Valerenga D 2-2 1489 1548 38.8% 24.7% 36.4% -0.1 9
2014-05-16 @ Start D 2-2 1548 1489 36.4% 24.7% 38.8% +0.1 15
2014-05-19 Lillestrom D 2-2 1548 1528 49.5% 24.1% 26.3% -0.8 16
2014-05-19 @ Valerenga D 2-2 1528 1548 26.3% 24.1% 49.5% +0.8 15
2014-05-19 Rosenborg D 1-1 1484 1597 31.5% 24.6% 44.0% +0.6 12
2014-05-19 @ Sarpsborg 08 D 1-1 1597 1484 44.0% 24.6% 31.5% -0.6 16
2014-05-20 Aalesund W 2-1 1530 1507 49.8% 24.1% 26.1% +6.2 17
2014-05-20 @ Odds L 1-2 1507 1530 26.1% 24.1% 49.8% -6.2 7
2014-05-20 Brann W 2-1 1459 1473 45.0% 24.5% 30.4% +7.0 11
2014-05-20 @ Sogndal L 1-2 1473 1459 30.4% 24.5% 45.0% -7.0 8
2014-05-20 Haugesund D 0-0 1417 1466 40.3% 24.7% 35.0% -0.3 7
2014-05-20 @ Sandnes Ulf D 0-0 1466 1417 35.0% 24.7% 40.3% +0.3 6
2014-05-20 Start W 2-1 1481 1489 46.0% 24.4% 29.5% +6.8 14
2014-05-20 @ Bodo Glimt L 1-2 1489 1481 29.5% 24.4% 46.0% -6.8 9
2014-05-20 Stromsgodset W 2-1 1446 1634 22.8% 23.6% 53.6% +11.0 18
2014-05-20 @ Stabaek L 1-2 1634 1446 53.6% 23.6% 22.8% -11.0 20
2014-05-20 Viking W 1-0 1640 1579 54.5% 23.4% 22.1% +5.7 25
2014-05-20 @ Molde L 0-1 1579 1640 22.1% 23.4% 54.5% -5.7 17
2014-05-23 Molde D 1-1 1466 1646 23.7% 23.7% 52.6% +1.4 7
2014-05-23 @ Haugesund D 1-1 1646 1466 52.6% 23.7% 23.7% -1.4 26
2014-05-24 Rosenborg D 1-1 1623 1596 50.3% 24.0% 25.6% -1.2 21
2014-05-24 @ Stromsgodset D 1-1 1596 1623 25.6% 24.0% 50.3% +1.2 17
2014-05-24 Stabaek W 5-1 1528 1457 55.8% 23.2% 21.0% +16.2 18
2014-05-24 @ Lillestrom L 1-5 1457 1528 21.0% 23.2% 55.8% -16.2 18
2014-05-25 Bodo Glimt L 2-3 1574 1488 57.2% 22.9% 19.8% -11.1 17
2014-05-25 @ Viking W 3-2 1488 1574 19.8% 22.9% 57.2% +11.1 17
2014-05-25 Odds L 0-1 1482 1536 39.5% 24.7% 35.7% -9.1 9
2014-05-25 @ Start W 1-0 1536 1482 35.7% 24.7% 39.5% +9.1 20
2014-05-25 Sandnes Ulf W 1-0 1466 1417 53.1% 23.7% 23.2% +5.9 14
2014-05-25 @ Sogndal L 0-1 1417 1466 23.2% 23.7% 53.1% -5.9 7
2014-05-25 Sarpsborg 08 D 0-0 1501 1485 49.0% 24.2% 26.8% -1.2 8
2014-05-25 @ Aalesund D 0-0 1485 1501 26.8% 24.2% 49.0% +1.2 13
2014-05-25 Valerenga L 2-3 1466 1547 35.8% 24.7% 39.5% -7.5 8
2014-05-25 @ Brann W 3-2 1547 1466 39.5% 24.7% 35.8% +7.5 19
2014-06-09 Aalesund W 3-0 1555 1500 53.8% 23.6% 22.7% +15.9 22
2014-06-09 @ Valerenga L 0-3 1500 1555 22.7% 23.6% 53.8% -15.9 8
2014-06-09 Bodo Glimt W 1-0 1411 1499 34.6% 24.7% 40.7% +9.3 10
2014-06-09 @ Sandnes Ulf L 0-1 1499 1411 40.7% 24.7% 34.6% -9.3 17
2014-06-09 Brann W 4-2 1644 1459 67.1% 20.2% 12.7% +4.8 29
2014-06-09 @ Molde L 2-4 1459 1644 12.7% 20.2% 67.1% -4.8 8
2014-06-09 Haugesund W 2-1 1621 1468 64.2% 21.1% 14.6% +3.6 24
2014-06-09 @ Stromsgodset L 1-2 1468 1621 14.6% 21.1% 64.2% -3.6 7
2014-06-09 Lillestrom W 3-1 1597 1545 53.5% 23.6% 22.9% +9.6 20
2014-06-09 @ Rosenborg L 1-3 1545 1597 22.9% 23.6% 53.5% -9.6 18
2014-06-09 Sogndal D 0-0 1545 1472 55.9% 23.2% 20.9% -1.9 21
2014-06-09 @ Odds D 0-0 1472 1545 20.9% 23.2% 55.9% +1.9 15
2014-06-09 Start L 1-2 1440 1473 42.6% 24.6% 32.8% -9.1 18
2014-06-09 @ Stabaek W 2-1 1473 1440 32.8% 24.6% 42.6% +9.1 12
2014-06-09 Viking D 1-1 1486 1562 36.3% 24.7% 38.9% +0.1 14
2014-06-09 @ Sarpsborg 08 D 1-1 1562 1486 38.9% 24.7% 36.3% -0.1 18
2014-06-12 Molde D 1-1 1490 1649 25.9% 24.1% 50.1% +1.2 18
2014-06-12 @ Bodo Glimt D 1-1 1649 1490 50.1% 24.1% 25.9% -1.2 30
2014-06-12 Odds L 0-1 1454 1543 34.6% 24.7% 40.7% -8.2 8
2014-06-12 @ Brann W 1-0 1543 1454 40.7% 24.7% 34.6% +8.2 24
2014-06-12 Rosenborg L 2-4 1482 1607 29.9% 24.5% 45.7% -10.7 12
2014-06-12 @ Start W 4-2 1607 1482 45.7% 24.5% 29.9% +10.7 23
2014-06-12 Sandnes Ulf W 3-0 1484 1420 54.8% 23.4% 21.8% +15.3 11
2014-06-12 @ Aalesund L 0-3 1420 1484 21.8% 23.4% 54.8% -15.3 10
2014-06-12 Sarpsborg 08 W 4-0 1464 1486 44.0% 24.6% 31.4% +27.3 10
2014-06-12 @ Haugesund L 0-4 1486 1464 31.4% 24.6% 44.0% -27.3 14
2014-06-12 Stabaek W 4-1 1562 1431 62.0% 21.8% 16.2% +9.8 21
2014-06-12 @ Viking L 1-4 1431 1562 16.2% 21.8% 62.0% -9.8 18
2014-06-12 Stromsgodset W 3-0 1535 1625 34.4% 24.7% 40.8% +25.6 21
2014-06-12 @ Lillestrom L 0-3 1625 1535 40.8% 24.7% 34.4% -25.6 24
2014-06-12 Valerenga W 2-0 1474 1570 33.6% 24.7% 41.8% +17.9 18
2014-06-12 @ Sogndal L 0-2 1570 1474 41.8% 24.7% 33.6% -17.9 22
2014-07-05 Sogndal W 3-0 1648 1492 64.5% 21.1% 14.5% +10.4 33
2014-07-05 @ Molde L 0-3 1492 1648 14.5% 21.1% 64.5% -10.4 18
2014-07-06 Aalesund L 0-2 1421 1499 36.1% 24.7% 39.1% -16.0 18
2014-07-06 @ Stabaek W 2-0 1499 1421 39.1% 24.7% 36.1% +16.0 14
2014-07-06 Bodo Glimt W 2-1 1459 1491 42.6% 24.6% 32.8% +7.4 17
2014-07-06 @ Sarpsborg 08 L 1-2 1491 1459 32.8% 24.6% 42.6% -7.4 18
2014-07-06 Brann L 0-2 1572 1446 61.6% 21.9% 16.5% -24.9 21
2014-07-06 @ Viking W 2-0 1446 1572 16.5% 21.9% 61.6% +24.9 11
2014-07-06 Haugesund W 5-3 1618 1491 61.6% 21.9% 16.5% +6.0 26
2014-07-06 @ Rosenborg L 3-5 1491 1618 16.5% 21.9% 61.6% -6.0 10
2014-07-06 Lillestrom W 3-1 1471 1561 34.5% 24.7% 40.8% +15.2 15
2014-07-06 @ Start L 1-3 1561 1471 40.8% 24.7% 34.5% -15.2 21
2014-07-06 Sandnes Ulf W 1-0 1600 1405 67.9% 19.9% 12.2% +3.2 27
2014-07-06 @ Stromsgodset L 0-1 1405 1600 12.2% 19.9% 67.9% -3.2 10
2014-07-07 Valerenga D 2-2 1551 1552 46.8% 24.4% 28.8% -0.6 25
2014-07-07 @ Odds D 2-2 1552 1551 28.8% 24.4% 46.8% +0.6 23
2014-07-11 Molde L 0-1 1515 1658 27.7% 24.3% 48.0% -6.9 14
2014-07-11 @ Aalesund W 1-0 1658 1515 48.0% 24.3% 27.7% +6.9 36
2014-07-12 Odds L 0-3 1484 1551 37.7% 24.8% 37.5% -24.1 18
2014-07-12 @ Bodo Glimt W 3-0 1551 1484 37.5% 24.8% 37.7% +24.1 28
2014-07-12 Sarpsborg 08 D 0-0 1545 1466 56.6% 23.1% 20.4% -2.0 22
2014-07-12 @ Lillestrom D 0-0 1466 1545 20.4% 23.1% 56.6% +2.0 18
2014-07-12 Start L 1-2 1401 1486 35.2% 24.7% 40.1% -7.9 10
2014-07-12 @ Sandnes Ulf W 2-1 1486 1401 40.1% 24.7% 35.2% +7.9 18
2014-07-12 Stromsgodset L 0-1 1471 1603 29.0% 24.4% 46.6% -7.2 11
2014-07-12 @ Brann W 1-0 1603 1471 46.6% 24.4% 29.0% +7.1 30
2014-07-12 Viking D 0-0 1481 1547 37.9% 24.8% 37.4% -0.0 19
2014-07-12 @ Sogndal D 0-0 1547 1481 37.4% 24.8% 37.9% +0.0 22
2014-07-13 Rosenborg D 2-2 1553 1624 37.2% 24.8% 38.0% +0.0 24
2014-07-13 @ Valerenga D 2-2 1624 1553 38.0% 24.8% 37.2% -0.0 27
2014-07-13 Stabaek W 2-0 1485 1405 56.6% 23.1% 20.3% +9.9 13
2014-07-13 @ Haugesund L 0-2 1405 1485 20.3% 23.1% 56.6% -9.9 18
2014-07-18 Brann D 1-1 1395 1464 37.5% 24.8% 37.7% +0.0 19
2014-07-18 @ Stabaek D 1-1 1464 1395 37.7% 24.8% 37.5% +0.0 12
2014-07-19 Bodo Glimt W 2-1 1494 1460 51.3% 23.9% 24.8% +5.9 21
2014-07-19 @ Start L 1-2 1460 1494 24.8% 23.9% 51.3% -5.9 18
2014-07-19 Valerenga L 0-2 1610 1553 54.0% 23.5% 22.5% -22.2 30
2014-07-19 @ Stromsgodset W 2-0 1553 1610 22.5% 23.5% 54.0% +22.2 27
2014-07-20 Haugesund D 0-0 1575 1495 56.6% 23.1% 20.3% -2.0 29
2014-07-20 @ Odds D 0-0 1495 1575 20.3% 23.1% 56.6% +2.0 14
2014-07-20 Lillestrom D 0-0 1547 1543 47.4% 24.3% 28.2% -1.0 23
2014-07-20 @ Viking D 0-0 1543 1547 28.2% 24.3% 47.4% +1.0 23
2014-07-20 Sandnes Ulf W 3-1 1665 1394 74.1% 17.3% 8.7% +3.6 39
2014-07-20 @ Molde L 1-3 1394 1665 8.7% 17.3% 74.1% -3.6 10
2014-07-20 Sogndal W 1-0 1623 1481 63.1% 21.5% 15.4% +4.0 30
2014-07-20 @ Rosenborg L 0-1 1481 1623 15.4% 21.5% 63.1% -4.0 19
2014-07-22 Aalesund W 3-2 1468 1508 41.5% 24.7% 33.8% +7.2 21
2014-07-22 @ Sarpsborg 08 L 2-3 1508 1468 33.8% 24.7% 41.5% -7.2 14
2014-07-26 Lillestrom D 1-1 1501 1544 41.1% 24.7% 34.2% -0.3 15
2014-07-26 @ Aalesund D 1-1 1544 1501 34.2% 24.7% 41.1% +0.3 24
2014-07-26 Stromsgodset L 1-3 1390 1588 21.9% 23.4% 54.7% -9.2 10
2014-07-26 @ Sandnes Ulf W 3-1 1588 1390 54.7% 23.4% 21.9% +9.2 33
2014-07-27 Odds L 1-3 1477 1573 33.8% 24.7% 41.6% -13.2 19
2014-07-27 @ Sogndal W 3-1 1573 1477 41.6% 24.7% 33.8% +13.2 32
2014-07-27 Rosenborg W 3-1 1669 1628 52.2% 23.8% 24.0% +10.0 42
2014-07-27 @ Molde L 1-3 1628 1669 24.0% 23.8% 52.2% -10.0 30
2014-07-27 Sarpsborg 08 L 3-4 1454 1475 44.0% 24.6% 31.4% -8.6 18
2014-07-27 @ Bodo Glimt W 4-3 1475 1454 31.4% 24.6% 44.0% +8.7 24
2014-07-27 Start W 5-1 1497 1500 46.6% 24.4% 29.0% +21.3 17
2014-07-27 @ Haugesund L 1-5 1500 1497 29.0% 24.4% 46.6% -21.3 21
2014-07-27 Viking L 0-1 1464 1546 35.5% 24.7% 39.8% -8.4 12
2014-07-27 @ Brann W 1-0 1546 1464 39.8% 24.7% 35.5% +8.4 26
2014-07-29 Stabaek W 3-2 1575 1395 66.6% 20.3% 13.1% +3.0 30
2014-07-29 @ Valerenga L 2-3 1395 1575 13.1% 20.3% 66.6% -3.0 19
2014-08-01 Brann W 4-3 1545 1455 57.7% 22.8% 19.5% +4.4 27
2014-08-01 @ Lillestrom L 3-4 1455 1545 19.5% 22.8% 57.7% -4.4 12
2014-08-02 Sogndal D 1-1 1597 1464 62.2% 21.7% 16.1% -2.3 34
2014-08-02 @ Stromsgodset D 1-1 1464 1597 16.1% 21.7% 62.2% +2.4 20
2014-08-02 Valerenga D 5-5 1555 1578 43.8% 24.6% 31.6% -0.3 27
2014-08-02 @ Viking D 5-5 1578 1555 31.6% 24.6% 43.8% +0.3 31
2014-08-03 Bodo Glimt W 2-1 1501 1445 53.9% 23.5% 22.6% +5.5 18
2014-08-03 @ Aalesund L 1-2 1445 1501 22.6% 23.5% 53.9% -5.5 18
2014-08-03 Haugesund L 0-2 1484 1518 42.3% 24.7% 33.0% -18.1 24
2014-08-03 @ Sarpsborg 08 W 2-0 1518 1484 33.0% 24.7% 42.3% +18.1 20
2014-08-03 Molde D 1-1 1479 1679 21.6% 23.4% 55.0% +1.6 22
2014-08-03 @ Start D 1-1 1679 1479 55.0% 23.4% 21.6% -1.6 43
2014-08-03 Rosenborg W 4-1 1392 1618 19.4% 22.8% 57.8% +28.9 22
2014-08-03 @ Stabaek L 1-4 1618 1392 57.8% 22.8% 19.4% -28.9 30
2014-08-03 Sandnes Ulf W 3-1 1586 1381 68.8% 19.5% 11.7% +4.9 35
2014-08-03 @ Odds L 1-3 1381 1586 11.7% 19.5% 68.8% -4.9 10
2014-08-08 Aalesund W 1-0 1451 1506 39.3% 24.7% 35.9% +8.5 15
2014-08-08 @ Brann L 0-1 1506 1451 35.9% 24.7% 39.3% -8.5 18
2014-08-09 Sarpsborg 08 D 2-2 1579 1466 60.2% 22.3% 17.6% -1.6 32
2014-08-09 @ Valerenga D 2-2 1466 1579 17.6% 22.3% 60.2% +1.6 25
2014-08-09 Stromsgodset W 1-0 1591 1594 46.5% 24.4% 29.1% +7.2 38
2014-08-09 @ Odds L 0-1 1594 1591 29.1% 24.4% 46.5% -7.2 34
2014-08-10 Bodo Glimt L 0-1 1467 1440 50.4% 24.0% 25.6% -11.1 20
2014-08-10 @ Sogndal W 1-0 1440 1467 25.6% 24.0% 50.4% +11.1 21
2014-08-10 Lillestrom D 0-0 1376 1549 24.3% 23.8% 51.8% +1.5 11
2014-08-10 @ Sandnes Ulf D 0-0 1549 1376 51.8% 23.8% 24.3% -1.5 28
2014-08-10 Stabaek D 2-2 1677 1421 72.9% 17.8% 9.3% -2.5 44
2014-08-10 @ Molde D 2-2 1421 1677 9.3% 17.8% 72.9% +2.5 23
2014-08-10 Start W 3-2 1589 1480 59.7% 22.4% 17.9% +4.2 33
2014-08-10 @ Rosenborg L 2-3 1480 1589 17.9% 22.4% 59.7% -4.2 22
2014-08-10 Viking D 1-1 1537 1554 44.6% 24.6% 30.9% -0.6 21
2014-08-10 @ Haugesund D 1-1 1554 1537 30.9% 24.6% 44.6% +0.6 28
2014-08-15 Stromsgodset L 2-3 1476 1587 31.6% 24.6% 43.8% -6.9 22
2014-08-15 @ Start W 3-2 1587 1476 43.8% 24.6% 31.6% +6.9 37
2014-08-16 Haugesund W 3-0 1498 1536 41.8% 24.7% 33.5% +22.0 21
2014-08-16 @ Aalesund L 0-3 1536 1498 33.5% 24.7% 41.8% -22.0 21
2014-08-16 Sogndal W 4-2 1555 1455 58.8% 22.6% 18.6% +7.1 31
2014-08-16 @ Viking L 2-4 1455 1555 18.6% 22.6% 58.8% -7.1 20
2014-08-17 Molde L 0-2 1468 1675 21.0% 23.2% 55.8% -10.2 25
2014-08-17 @ Sarpsborg 08 W 2-0 1675 1468 55.8% 23.2% 21.0% +10.2 47
2014-08-17 Odds L 1-3 1424 1598 24.2% 23.8% 51.9% -10.1 23
2014-08-17 @ Stabaek W 3-1 1598 1424 51.9% 23.8% 24.2% +10.1 41
2014-08-17 Rosenborg W 3-1 1459 1593 28.8% 24.4% 46.8% +17.0 18
2014-08-17 @ Brann L 1-3 1593 1459 46.8% 24.4% 28.8% -17.0 33
2014-08-17 Sandnes Ulf D 1-1 1451 1377 55.9% 23.2% 20.9% -1.7 22
2014-08-17 @ Bodo Glimt D 1-1 1377 1451 20.9% 23.2% 55.9% +1.7 12
2014-08-17 Valerenga W 2-1 1548 1577 43.0% 24.6% 32.4% +7.4 31
2014-08-17 @ Lillestrom L 1-2 1577 1548 32.4% 24.6% 43.0% -7.4 32
2014-08-22 Viking D 2-2 1379 1562 23.3% 23.7% 53.0% +1.1 13
2014-08-22 @ Sandnes Ulf D 2-2 1562 1379 53.0% 23.7% 23.3% -1.1 32
2014-08-23 Brann D 3-3 1570 1476 58.1% 22.7% 19.1% -1.2 33
2014-08-23 @ Valerenga D 3-3 1476 1570 19.1% 22.7% 58.1% +1.2 19
2014-08-23 Stabaek L 2-3 1594 1414 66.7% 20.3% 13.0% -12.7 37
2014-08-23 @ Stromsgodset W 3-2 1414 1594 13.0% 20.3% 66.7% +12.6 26
2014-08-24 Aalesund W 5-0 1685 1520 65.3% 20.8% 13.9% +16.1 50
2014-08-24 @ Molde L 0-5 1520 1685 13.9% 20.8% 65.3% -16.1 21
2014-08-24 Bodo Glimt L 1-2 1514 1449 54.9% 23.4% 21.7% -11.3 21
2014-08-24 @ Haugesund W 2-1 1449 1514 21.7% 23.4% 54.9% +11.3 25
2014-08-24 Lillestrom L 0-1 1448 1555 32.2% 24.6% 43.1% -7.8 20
2014-08-24 @ Sogndal W 1-0 1555 1448 43.1% 24.6% 32.2% +7.8 34
2014-08-24 Sarpsborg 08 W 2-0 1576 1457 60.8% 22.1% 17.1% +8.5 36
2014-08-24 @ Rosenborg L 0-2 1457 1576 17.1% 22.1% 60.8% -8.5 25
2014-08-24 Start W 4-1 1608 1469 62.8% 21.6% 15.7% +9.5 44
2014-08-24 @ Odds L 1-4 1469 1608 15.7% 21.6% 62.8% -9.5 22
2014-08-30 Odds D 2-2 1449 1617 24.9% 23.9% 51.2% +1.0 26
2014-08-30 @ Sarpsborg 08 D 2-2 1617 1449 51.2% 23.9% 24.9% -1.0 45
2014-08-30 Stromsgodset W 2-0 1504 1582 36.2% 24.7% 39.1% +17.0 24
2014-08-30 @ Aalesund L 0-2 1582 1504 39.1% 24.7% 36.2% -17.0 37
2014-08-30 Valerenga W 4-3 1460 1568 32.0% 24.6% 43.4% +8.6 28
2014-08-30 @ Bodo Glimt L 3-4 1568 1460 43.4% 24.6% 32.0% -8.5 33
2014-08-31 Haugesund W 2-0 1563 1503 54.4% 23.5% 22.1% +10.7 37
2014-08-31 @ Lillestrom L 0-2 1503 1563 22.1% 23.5% 54.4% -10.7 21
2014-08-31 Molde L 0-1 1477 1701 19.5% 22.9% 57.6% -5.1 19
2014-08-31 @ Brann W 1-0 1701 1477 57.6% 22.9% 19.5% +5.1 53
2014-08-31 Rosenborg L 1-2 1561 1584 43.8% 24.6% 31.6% -9.3 32
2014-08-31 @ Viking W 2-1 1584 1561 31.6% 24.6% 43.8% +9.3 39
2014-08-31 Sandnes Ulf D 1-1 1426 1380 52.8% 23.7% 23.5% -1.4 27
2014-08-31 @ Stabaek D 1-1 1380 1426 23.5% 23.7% 52.8% +1.4 14
2014-08-31 Sogndal W 3-2 1460 1441 49.4% 24.1% 26.4% +5.9 25
2014-08-31 @ Start L 2-3 1441 1460 26.4% 24.1% 49.4% -5.9 20
2014-09-12 Bodo Glimt W 3-1 1594 1469 61.4% 21.9% 16.7% +7.1 42
2014-09-12 @ Rosenborg L 1-3 1469 1594 16.7% 21.9% 61.4% -7.1 28
2014-09-13 Brann L 1-4 1564 1472 58.0% 22.8% 19.2% -29.0 37
2014-09-13 @ Stromsgodset W 4-1 1472 1564 19.2% 22.8% 58.0% +29.0 22
2014-09-13 Viking W 4-1 1616 1552 54.9% 23.4% 21.7% +12.9 48
2014-09-13 @ Odds L 1-4 1552 1616 21.7% 23.4% 54.9% -12.9 32
2014-09-14 Aalesund D 1-1 1435 1521 35.0% 24.7% 40.3% +0.2 21
2014-09-14 @ Sogndal D 1-1 1521 1435 40.3% 24.7% 35.0% -0.2 25
2014-09-14 Haugesund W 4-1 1560 1492 55.3% 23.3% 21.4% +12.7 36
2014-09-14 @ Valerenga L 1-4 1492 1560 21.4% 23.3% 55.3% -12.7 21
2014-09-14 Lillestrom W 3-2 1706 1574 62.2% 21.7% 16.1% +3.8 56
2014-09-14 @ Molde L 2-3 1574 1706 16.1% 21.7% 62.2% -3.8 37
2014-09-14 Sarpsborg 08 L 0-2 1382 1450 37.5% 24.8% 37.8% -16.5 14
2014-09-14 @ Sandnes Ulf W 2-0 1450 1382 37.8% 24.8% 37.5% +16.5 29
2014-09-14 Stabaek L 2-3 1466 1425 52.1% 23.8% 24.1% -10.2 25
2014-09-14 @ Start W 3-2 1425 1466 24.1% 23.8% 52.1% +10.2 30
2014-09-19 Sandnes Ulf D 1-1 1501 1365 62.5% 21.6% 15.8% -2.4 23
2014-09-19 @ Brann D 1-1 1365 1501 15.8% 21.6% 62.5% +2.4 15
2014-09-20 Molde L 0-2 1573 1710 28.4% 24.3% 47.2% -13.3 36
2014-09-20 @ Valerenga W 2-0 1710 1573 47.2% 24.3% 28.4% +13.3 59
2014-09-20 Stromsgodset L 0-4 1462 1536 36.7% 24.7% 38.5% -30.8 28
2014-09-20 @ Bodo Glimt W 4-0 1536 1462 38.5% 24.7% 36.7% +30.8 40
2014-09-21 Odds W 2-0 1570 1629 38.8% 24.7% 36.5% +16.2 40
2014-09-21 @ Lillestrom L 0-2 1629 1570 36.5% 24.7% 38.8% -16.2 48
2014-09-21 Rosenborg W 2-1 1479 1601 30.3% 24.5% 45.2% +9.5 24
2014-09-21 @ Haugesund L 1-2 1601 1479 45.2% 24.5% 30.3% -9.5 42
2014-09-21 Sogndal W 3-1 1466 1435 51.0% 24.0% 25.1% +10.3 32
2014-09-21 @ Sarpsborg 08 L 1-3 1435 1466 25.1% 24.0% 51.0% -10.3 21
2014-09-21 Stabaek W 3-0 1521 1435 57.2% 22.9% 19.8% +14.1 28
2014-09-21 @ Aalesund L 0-3 1435 1521 19.8% 22.9% 57.2% -14.1 30
2014-09-21 Start L 0-1 1539 1455 57.0% 23.0% 20.0% -12.3 32
2014-09-21 @ Viking W 1-0 1455 1539 20.0% 23.0% 57.0% +12.3 28
2014-09-26 Valerenga W 2-1 1368 1559 22.4% 23.5% 54.0% +11.1 18
2014-09-26 @ Sandnes Ulf L 1-2 1559 1368 54.0% 23.5% 22.4% -11.1 36
2014-09-27 Bodo Glimt W 2-1 1723 1431 75.5% 16.6% 7.9% +1.8 62
2014-09-27 @ Molde L 1-2 1431 1723 7.9% 16.6% 75.5% -1.9 28
2014-09-27 Haugesund W 4-1 1425 1489 38.1% 24.8% 37.2% +20.1 24
2014-09-27 @ Sogndal L 1-4 1489 1425 37.2% 24.8% 38.1% -20.1 24
2014-09-27 Viking W 2-1 1566 1526 52.0% 23.8% 24.2% +5.8 43
2014-09-27 @ Stromsgodset L 1-2 1526 1566 24.2% 23.8% 52.0% -5.8 32
2014-09-28 Aalesund W 3-0 1591 1535 54.0% 23.5% 22.5% +15.8 45
2014-09-28 @ Rosenborg L 0-3 1535 1591 22.5% 23.5% 54.0% -15.8 28
2014-09-28 Brann W 4-0 1613 1499 60.3% 22.2% 17.4% +16.3 51
2014-09-28 @ Odds L 0-4 1499 1613 17.4% 22.2% 60.3% -16.3 23
2014-09-28 Lillestrom W 2-0 1421 1586 25.2% 24.0% 50.8% +21.0 33
2014-09-28 @ Stabaek L 0-2 1586 1421 50.8% 24.0% 25.2% -21.1 40
2014-09-28 Sarpsborg 08 W 3-1 1468 1477 45.8% 24.5% 29.8% +11.9 31
2014-09-28 @ Start L 1-3 1477 1468 29.8% 24.5% 45.8% -11.9 32
2014-10-03 Rosenborg L 0-2 1565 1607 41.2% 24.7% 34.1% -17.7 40
2014-10-03 @ Lillestrom W 2-0 1607 1565 34.1% 24.7% 41.2% +17.7 48
2014-10-04 Molde L 1-2 1521 1725 21.2% 23.3% 55.5% -5.2 32
2014-10-04 @ Viking W 2-1 1725 1521 55.5% 23.3% 21.2% +5.2 65
2014-10-04 Odds D 2-2 1519 1629 31.7% 24.6% 43.7% +0.4 29
2014-10-04 @ Aalesund D 2-2 1629 1519 43.7% 24.6% 31.7% -0.4 52
2014-10-05 Sandnes Ulf W 2-0 1469 1379 57.8% 22.8% 19.4% +9.5 27
2014-10-05 @ Haugesund L 0-2 1379 1469 19.4% 22.8% 57.8% -9.5 18
2014-10-05 Sogndal W 2-1 1548 1445 59.2% 22.5% 18.3% +4.5 39
2014-10-05 @ Valerenga L 1-2 1445 1548 18.3% 22.5% 59.2% -4.5 24
2014-10-05 Stabaek D 1-1 1429 1442 45.2% 24.5% 30.3% -0.7 29
2014-10-05 @ Bodo Glimt D 1-1 1442 1429 30.3% 24.5% 45.2% +0.7 34
2014-10-05 Start L 1-2 1483 1480 47.3% 24.3% 28.3% -9.9 23
2014-10-05 @ Brann W 2-1 1480 1483 28.3% 24.3% 47.3% +9.9 34
2014-10-05 Stromsgodset D 0-0 1465 1572 32.1% 24.6% 43.2% +0.6 33
2014-10-05 @ Sarpsborg 08 D 0-0 1572 1465 43.2% 24.6% 32.1% -0.6 44
2014-10-17 Sarpsborg 08 L 1-2 1473 1465 47.9% 24.3% 27.8% -10.0 23
2014-10-17 @ Brann W 2-1 1465 1473 27.8% 24.3% 47.9% +10.0 36
2014-10-18 Aalesund L 1-2 1490 1519 43.0% 24.6% 32.4% -9.2 34
2014-10-18 @ Start W 2-1 1519 1490 32.4% 24.6% 43.0% +9.2 32
2014-10-18 Haugesund L 1-2 1730 1478 72.6% 18.0% 9.5% -14.3 65
2014-10-18 @ Molde W 2-1 1478 1730 9.5% 18.0% 72.6% +14.3 30
2014-10-19 Bodo Glimt W 4-3 1629 1428 68.4% 19.7% 11.9% +2.7 55
2014-10-19 @ Odds L 3-4 1428 1629 11.9% 19.7% 68.4% -2.7 29
2014-10-19 Lillestrom W 2-1 1572 1547 50.1% 24.1% 25.9% +6.1 47
2014-10-19 @ Stromsgodset L 1-2 1547 1572 25.9% 24.1% 50.1% -6.1 40
2014-10-19 Sogndal W 1-0 1369 1440 37.1% 24.8% 38.1% +8.9 21
2014-10-19 @ Sandnes Ulf L 0-1 1440 1369 38.1% 24.8% 37.1% -8.9 24
2014-10-19 Valerenga W 3-2 1625 1553 55.8% 23.2% 21.0% +4.8 51
2014-10-19 @ Rosenborg L 2-3 1553 1625 21.0% 23.2% 55.8% -4.8 39
2014-10-19 Viking D 1-1 1443 1515 36.9% 24.8% 38.4% +0.1 35
2014-10-19 @ Stabaek D 1-1 1515 1443 38.4% 24.8% 36.9% -0.1 33
2014-10-24 Odds L 1-2 1548 1632 35.3% 24.7% 40.0% -7.9 39
2014-10-24 @ Valerenga W 2-1 1632 1548 40.0% 24.7% 35.3% +7.9 58
2014-10-25 Stromsgodset W 3-2 1492 1578 35.1% 24.7% 40.2% +8.2 33
2014-10-25 @ Haugesund L 2-3 1578 1492 40.2% 24.7% 35.1% -8.2 47
2014-10-26 Aalesund L 1-2 1515 1528 45.2% 24.5% 30.3% -9.5 33
2014-10-26 @ Viking W 2-1 1528 1515 30.3% 24.5% 45.2% +9.5 35
2014-10-26 Brann W 2-1 1426 1463 41.9% 24.7% 33.4% +7.5 32
2014-10-26 @ Bodo Glimt L 1-2 1463 1426 33.4% 24.7% 41.9% -7.6 23
2014-10-26 Molde L 0-1 1431 1716 14.9% 21.2% 63.8% -3.9 24
2014-10-26 @ Sogndal W 1-0 1716 1431 63.8% 21.2% 14.9% +3.9 68
2014-10-26 Sandnes Ulf W 3-1 1630 1378 72.5% 18.0% 9.5% +3.9 54
2014-10-26 @ Rosenborg L 1-3 1378 1630 9.5% 18.0% 72.5% -3.9 21
2014-10-26 Stabaek D 1-1 1475 1443 51.1% 23.9% 25.0% -1.3 37
2014-10-26 @ Sarpsborg 08 D 1-1 1443 1475 25.0% 23.9% 51.1% +1.3 36
2014-10-26 Start W 4-1 1541 1481 54.4% 23.4% 22.1% +13.1 43
2014-10-26 @ Lillestrom L 1-4 1481 1541 22.1% 23.4% 54.4% -13.1 34
2014-11-02 Bodo Glimt W 4-0 1554 1433 61.0% 22.1% 17.0% +15.9 46
2014-11-02 @ Lillestrom L 0-4 1433 1554 17.0% 22.1% 61.0% -15.9 32
2014-11-02 Haugesund L 0-1 1444 1501 39.2% 24.7% 36.1% -9.0 36
2014-11-02 @ Stabaek W 1-0 1501 1444 36.1% 24.7% 39.2% +9.0 36
2014-11-02 Molde W 2-0 1569 1720 26.9% 24.2% 48.9% +20.4 50
2014-11-02 @ Stromsgodset L 0-2 1720 1569 48.9% 24.2% 26.9% -20.4 68
2014-11-02 Rosenborg L 0-1 1640 1634 47.8% 24.3% 27.9% -10.6 58
2014-11-02 @ Odds W 1-0 1634 1640 27.9% 24.3% 47.8% +10.6 57
2014-11-02 Sandnes Ulf D 3-3 1467 1374 58.1% 22.7% 19.1% -1.2 35
2014-11-02 @ Start D 3-3 1374 1467 19.1% 22.7% 58.1% +1.2 22
2014-11-02 Sarpsborg 08 W 1-0 1506 1474 51.0% 24.0% 25.1% +6.3 36
2014-11-02 @ Viking L 0-1 1474 1506 25.1% 24.0% 51.0% -6.3 37
2014-11-02 Sogndal W 2-1 1455 1427 50.5% 24.0% 25.5% +6.1 26
2014-11-02 @ Brann L 1-2 1427 1455 25.5% 24.0% 50.5% -6.1 24
2014-11-02 Valerenga W 4-1 1538 1540 46.7% 24.4% 28.9% +16.5 38
2014-11-02 @ Aalesund L 1-4 1540 1538 28.9% 24.4% 46.7% -16.5 39
2014-11-09 Aalesund L 1-2 1375 1554 23.7% 23.8% 52.5% -5.7 22
2014-11-09 @ Sandnes Ulf W 2-1 1554 1375 52.5% 23.8% 23.7% +5.7 41
2014-11-09 Brann L 2-3 1510 1461 53.0% 23.7% 23.3% -10.4 36
2014-11-09 @ Haugesund W 3-2 1461 1510 23.3% 23.7% 53.0% +10.4 29
2014-11-09 Lillestrom W 3-2 1468 1570 32.8% 24.6% 42.5% +8.6 40
2014-11-09 @ Sarpsborg 08 L 2-3 1570 1468 42.5% 24.6% 32.8% -8.6 46
2014-11-09 Odds W 2-0 1699 1629 55.6% 23.2% 21.2% +10.3 71
2014-11-09 @ Molde L 0-2 1629 1699 21.2% 23.2% 55.6% -10.3 58
2014-11-09 Stabaek L 0-2 1421 1435 45.1% 24.5% 30.4% -19.1 24
2014-11-09 @ Sogndal W 2-0 1435 1421 30.4% 24.5% 45.1% +19.1 39
2014-11-09 Start W 1-0 1524 1466 54.1% 23.5% 22.4% +5.8 42
2014-11-09 @ Valerenga L 0-1 1466 1524 22.4% 23.5% 54.1% -5.7 35
2014-11-09 Stromsgodset W 4-1 1644 1590 53.7% 23.6% 22.7% +13.4 60
2014-11-09 @ Rosenborg L 1-4 1590 1644 22.7% 23.6% 53.7% -13.4 50
2014-11-09 Viking W 3-2 1417 1512 33.8% 24.7% 41.5% +8.5 35
2014-11-09 @ Bodo Glimt L 2-3 1512 1417 41.5% 24.7% 33.8% -8.5 36

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
2014-11-23 Mjondalen D 1-1 1472 1428 52.4% 23.8% 23.8% -1.4 0-0-1
2014-11-23 @ Brann D 1-1 1428 1472 23.8% 23.8% 52.4% +1.4 0-0-1
2014-11-26 Brann W 3-0 1430 1470 41.4% 24.7% 33.9% +22.2 1-0-1
2014-11-26 @ Mjondalen L 0-3 1470 1430 33.9% 24.7% 41.4% -22.2 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 2014-10-18 9.47% Haugesund 1478 2 @ Molde 1730 1
2 2014-05-16 12.03% Stabaek 1422 3 @ Rosenborg 1620 1
3 2014-08-23 13.01% Stabaek 1414 3 @ Stromsgodset 1594 2
4 2014-07-06 16.54% Brann 1446 2 @ Viking 1572 0
5 2014-09-13 19.24% Brann 1472 4 @ Stromsgodset 1564 1
6 2014-08-03 19.40% @ Stabaek 1392 4 Rosenborg 1618 1
7 2014-05-25 19.84% Bodo Glimt 1488 3 @ Viking 1574 2
8 2014-09-21 20.01% Start 1455 1 @ Viking 1539 0
9 2014-04-27 21.04% Sogndal 1435 3 @ Haugesund 1507 0
10 2014-08-24 21.69% Bodo Glimt 1449 2 @ Haugesund 1514 1
11 2014-09-26 22.45% @ Sandnes Ulf 1368 2 Valerenga 1559 1
12 2014-07-19 22.48% Valerenga 1553 2 @ Stromsgodset 1610 0
13 2014-05-20 22.81% @ Stabaek 1446 2 Stromsgodset 1634 1
14 2014-04-06 23.19% Stabaek 1444 2 @ Brann 1493 1
15 2014-11-09 23.29% Brann 1461 3 @ Haugesund 1510 2
16 2014-05-10 23.36% Brann 1472 1 @ Aalesund 1520 0
17 2014-09-14 24.09% Stabaek 1425 3 @ Start 1466 2
18 2014-09-28 25.24% @ Stabaek 1421 2 Lillestrom 1586 0
19 2014-05-11 25.50% Lillestrom 1514 2 @ Odds 1542 0
20 2014-08-10 25.59% Bodo Glimt 1440 1 @ Sogndal 1467 0
21 2014-05-04 26.74% Molde 1613 2 @ Rosenborg 1629 0
22 2014-11-02 26.85% @ Stromsgodset 1569 2 Molde 1720 0
23 2014-04-30 26.92% Haugesund 1473 3 @ Brann 1488 1
24 2014-05-01 27.01% @ Valerenga 1496 3 Stromsgodset 1645 0
25 2014-04-21 27.07% Start 1515 2 @ Aalesund 1529 1

Biggest Elo Changes

The 25 games that resulted in the largest shift in Elo rating.

# Date Elo Δ Winning Team Losing Team Tie %
Team Score Elo Win % Team Score Elo Win %
1 2014-04-27 33.16 Sogndal 3 1435 21.04% @ Haugesund 0 1507 55.74% 23.22%
2 2014-09-20 30.80 Stromsgodset 4 1536 38.53% @ Bodo Glimt 0 1462 36.72% 24.74%
3 2014-05-01 29.55 @ Valerenga 3 1496 27.01% Stromsgodset 0 1645 48.78% 24.21%
4 2014-09-13 28.95 Brann 4 1472 19.24% @ Stromsgodset 1 1564 57.99% 22.77%
5 2014-08-03 28.86 @ Stabaek 4 1392 19.40% Rosenborg 1 1618 57.78% 22.81%
6 2014-06-12 27.32 @ Haugesund 4 1464 43.98% Sarpsborg 08 0 1486 31.44% 24.58%
7 2014-06-12 25.58 @ Lillestrom 3 1535 34.45% Stromsgodset 0 1625 40.84% 24.71%
8 2014-07-06 24.91 Brann 2 1446 16.54% @ Viking 0 1572 61.55% 21.90%
9 2014-07-12 24.06 Odds 3 1551 37.52% @ Bodo Glimt 0 1484 37.73% 24.75%
10 2014-05-16 23.54 Stabaek 3 1422 12.03% @ Rosenborg 1 1620 68.22% 19.75%
11 2014-03-30 23.28 @ Stabaek 3 1421 39.16% Sogndal 0 1477 36.10% 24.74%
12 2014-05-05 22.49 Valerenga 3 1526 40.78% @ Stabaek 0 1436 34.52% 24.71%
13 2014-07-19 22.20 Valerenga 2 1553 22.48% @ Stromsgodset 0 1610 53.99% 23.53%
14 2014-08-16 22.00 @ Aalesund 3 1498 41.78% Haugesund 0 1536 33.54% 24.68%
15 2014-03-30 21.54 @ Sarpsborg 08 3 1483 42.71% Brann 0 1515 32.65% 24.64%
16 2014-04-28 21.38 @ Sarpsborg 08 3 1488 43.01% Valerenga 0 1518 32.36% 24.63%
17 2014-07-27 21.34 @ Haugesund 5 1497 46.58% Start 1 1500 29.02% 24.41%
18 2014-09-28 21.05 @ Stabaek 2 1421 25.24% Lillestrom 0 1586 50.77% 23.99%
19 2014-05-11 20.95 Lillestrom 2 1514 25.50% @ Odds 0 1542 50.47% 24.02%
20 2014-05-04 20.46 Molde 2 1613 26.74% @ Rosenborg 0 1629 49.09% 24.18%
21 2014-11-02 20.41 @ Stromsgodset 2 1569 26.85% Molde 0 1720 48.95% 24.19%
22 2014-09-27 20.07 @ Sogndal 4 1425 38.08% Haugesund 1 1489 37.17% 24.75%
23 2014-11-09 19.07 Stabaek 2 1435 30.38% @ Sogndal 0 1421 45.11% 24.51%
24 2014-04-27 18.31 Viking 2 1555 32.47% @ Start 0 1525 42.90% 24.63%
25 2014-08-03 18.10 Haugesund 2 1518 33.04% @ Sarpsborg 08 0 1484 42.30% 24.66%