Home / Leagues / Norway / First Division / 2018
‹ ›

2018 First Division Season

240 games · 5 promotion-playoff teams

Final

Promoted

Stabaek

via playoff

Relegated

No relegation

Biggest Overachiever

Hamarkameratene

14.29 points above expected

42 points · 27.71 expected points

Biggest Disappointment

Levanger

19.87 points below expected

15 points · 34.87 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 Viking 30 20 1 9 61 68 44 +24 52.20 +8.80
2 Mjondalen 30 17 9 4 60 49 24 +25 51.72 +8.28
3 Aalesund 30 18 5 7 59 58 31 +27 56.24 +2.76
4 Sogndal 30 15 6 9 51 47 31 +16 52.75 -1.75
5 Ullensaker Kisa 30 11 10 9 43 59 49 +10 46.11 -3.11
6 Nest-Sotra 30 12 7 11 43 43 41 +2 37.11 +5.89
7 Tromsdalen 30 12 7 11 43 43 47 -4 37.79 +5.21
8 Kongsvinger 30 12 6 12 42 59 49 +10 43.58 -1.58
9 Hamarkameratene 30 12 6 12 42 46 44 +2 27.71 +14.29
10 Sandnes Ulf 30 11 9 10 42 43 47 -4 42.72 -0.72
11 Strommen 30 12 2 16 38 49 53 -4 37.51 +0.49
12 Notodden 30 10 6 14 36 36 40 -4 31.46 +4.54
13 Jerv 30 8 11 11 35 31 41 -10 39.28 -4.28
14 Asane 30 9 6 15 33 38 57 -19 35.60 -2.60
15 Floro 30 8 3 19 27 27 59 -32 31.83 -4.83
16 Levanger 30 3 6 21 15 32 71 -39 34.87 -19.87

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.

Promotion Playoff

The path the promotion-playoff teams took to determine the final promotion spot. The full Promotion / Relegation tab has matchup heatmaps and round-by-round simulation outcomes.

Quarterfinals

Aalesund 1
Nest-Sotra 0
Sogndal 1
Ullensaker Kisa 0

Sim: 3.0%

Semifinals

Aalesund 3
Sogndal 1

Sim: 1.0%

Finals

Stabaek 2
Aalesund 1

Leg 1: Stabaek 1-0 Aalesund

Leg 2: Aalesund 1-1 Stabaek

Sim: 1.0%

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
Mjondalen 1494 60 51.72 +8.28 90.4% 28 41 47 52 56 63 76
Aalesund 1481 59 56.24 +2.76 67.6% 29 45 52 56 61 67 78
Viking 1465 61 52.20 +8.80 91.6% 27 41 48 52 57 63 75
Sogndal 1447 51 52.75 -1.75 42.7% 25 42 48 53 57 64 76
Kongsvinger 1388 42 43.58 -1.58 43.4% 18 32 39 44 48 55 69
Ullensaker Kisa 1384 43 46.11 -3.11 34.8% 19 35 42 46 51 57 75
Strommen 1345 38 37.51 +0.49 56.8% 13 27 33 37 42 49 70
Sandnes Ulf 1345 42 42.72 -0.72 48.7% 18 31 38 43 47 54 69
Nest-Sotra 1336 43 37.11 +5.89 82.9% 14 26 33 37 41 48 62
Tromsdalen 1312 43 37.79 +5.21 80.1% 16 27 33 38 42 49 64
Hamarkameratene 1291 42 27.71 +14.29 98.7% 8 17 23 28 32 38 52
Jerv 1288 35 39.28 -4.28 28.8% 16 28 35 39 44 51 64
Notodden 1280 36 31.46 +4.54 78.3% 6 21 27 31 36 43 58
Asane 1240 33 35.60 -2.60 38.1% 13 25 31 35 40 47 65
Floro 1216 27 31.83 -4.83 25.8% 11 21 27 32 36 43 57
Levanger 1180 15 34.87 -19.87 0.1% 11 24 30 35 39 46 61

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 ASA FLO HAM JER KON LEV MJO NES NOT SU SOG STR TRO UK VIK
Aalesund —
2-0-0
4.10
2-0-0
4.06
1-0-1
4.41
1-1-0
3.98
2-0-0
3.58
2-0-0
3.84
1-0-1
3.05
0-0-2
4.09
1-1-0
4.31
2-0-0
3.71
0-1-1
2.87
1-1-0
3.72
1-1-0
3.94
1-0-1
3.56
1-0-1
3.03
Asane
0-0-2
1.45
 —
2-0-0
2.78
0-1-1
3.33
1-1-0
2.52
1-0-1
2.40
1-1-0
2.73
0-1-1
1.91
1-0-1
2.47
1-1-0
3.00
0-0-2
2.38
1-0-1
1.68
0-0-2
2.54
1-0-1
2.60
0-1-1
2.06
0-0-2
1.73
Floro
0-0-2
1.47
0-0-2
2.67
 —
0-0-2
3.06
1-0-1
2.05
1-0-1
2.31
1-0-1
2.47
0-1-1
1.61
1-0-1
2.37
0-0-2
2.85
0-0-2
2.02
1-0-1
1.34
1-0-1
2.18
1-0-1
2.07
0-2-0
1.96
1-0-1
1.47
Hamarkameratene
1-0-1
1.19
1-1-0
2.16
2-0-0
2.39
 —
2-0-0
1.85
1-0-1
1.60
0-1-1
2.35
0-0-2
1.39
0-1-1
2.06
1-0-1
2.50
1-1-0
1.67
0-0-2
1.32
1-0-1
1.98
1-1-0
1.99
1-1-0
1.77
0-0-2
1.41
Jerv
0-1-1
1.55
0-1-1
2.94
1-0-1
3.43
0-0-2
3.64
 —
0-0-2
2.37
1-1-0
3.11
0-2-0
1.87
1-1-0
2.82
2-0-0
3.19
0-2-0
2.58
0-2-0
1.82
2-0-0
2.76
0-0-2
2.87
0-1-1
2.41
1-0-1
1.98
Kongsvinger
0-0-2
1.91
1-0-1
3.08
1-0-1
3.18
1-0-1
3.92
2-0-0
3.08
 —
1-1-0
3.46
0-0-2
2.13
0-2-0
3.08
2-0-0
3.51
2-0-0
2.69
0-0-2
2.31
1-0-1
3.38
0-2-0
3.15
1-1-0
2.43
0-0-2
2.25
Levanger
0-0-2
1.72
0-1-1
2.72
1-0-1
2.98
1-1-0
3.15
0-1-1
2.37
0-1-1
2.00
 —
0-0-2
1.87
0-0-2
2.64
0-1-1
3.07
0-0-2
2.01
0-0-2
1.76
0-0-2
2.57
1-0-1
2.51
0-0-2
1.86
0-1-1
1.65
Mjondalen
1-0-1
2.42
1-1-0
3.60
1-1-0
3.90
2-0-0
4.16
0-2-0
3.65
2-0-0
3.35
2-0-0
3.63
 —
1-1-0
3.63
0-1-1
4.10
2-0-0
3.31
1-1-0
2.67
2-0-0
3.59
1-1-0
3.71
0-1-1
3.24
1-0-1
2.76
Nest-Sotra
2-0-0
1.45
1-0-1
3.01
1-0-1
3.12
1-1-0
3.41
0-1-1
2.64
0-2-0
2.38
2-0-0
2.81
0-1-1
1.86
 —
1-0-1
3.08
0-1-1
2.25
0-0-2
1.90
1-0-1
2.71
1-0-1
2.72
0-1-1
2.13
2-0-0
1.72
Notodden
0-1-1
1.27
0-1-1
2.45
2-0-0
2.63
1-0-1
2.95
0-0-2
2.28
0-0-2
1.98
1-1-0
2.38
1-1-0
1.45
1-0-1
2.39
 —
1-1-0
2.05
1-0-1
1.55
0-1-1
2.31
0-0-2
2.46
2-0-0
1.72
0-0-2
1.55
Sandnes Ulf
0-0-2
1.79
2-0-0
3.08
2-0-0
3.45
0-1-1
3.83
0-2-0
2.89
0-0-2
2.79
2-0-0
3.46
0-0-2
2.15
1-1-0
3.21
0-1-1
3.43
 —
1-1-0
2.14
1-0-1
3.07
1-1-0
3.09
0-2-0
2.27
1-0-1
1.96
Sogndal
1-1-0
2.58
1-0-1
3.83
1-0-1
4.23
2-0-0
4.26
0-2-0
3.67
2-0-0
3.17
2-0-0
3.77
0-1-1
2.78
2-0-0
3.59
1-0-1
3.99
0-1-1
3.33
 —
1-0-1
3.91
1-1-0
3.67
0-0-2
3.25
1-0-1
2.74
Strommen
0-1-1
1.79
2-0-0
2.91
1-0-1
3.29
1-0-1
3.49
0-0-2
2.71
1-0-1
2.10
2-0-0
2.88
0-0-2
1.93
1-0-1
2.80
1-1-0
3.15
1-0-1
2.39
1-0-1
1.60
 —
0-0-2
2.58
1-0-1
2.13
0-0-2
1.80
Tromsdalen
0-1-1
1.58
1-0-1
2.85
1-0-1
3.40
0-1-1
3.49
2-0-0
2.58
0-2-0
2.32
1-0-1
2.94
0-1-1
1.79
1-0-1
2.74
2-0-0
3.01
0-1-1
2.39
0-1-1
1.82
2-0-0
2.89
 —
1-0-1
2.02
1-0-1
1.95
Ullensaker Kisa
1-0-1
1.93
1-1-0
3.43
0-2-0
3.56
0-1-1
3.74
1-1-0
3.07
0-1-1
3.02
2-0-0
3.64
1-1-0
2.22
1-1-0
3.34
0-0-2
3.79
0-2-0
3.19
2-0-0
2.21
1-0-1
3.32
1-0-1
3.45
 —
0-0-2
2.27
Viking
1-0-1
2.44
2-0-0
3.78
1-0-1
4.07
2-0-0
4.14
1-0-1
3.50
2-0-0
3.21
1-1-0
3.87
1-0-1
2.73
0-0-2
3.78
2-0-0
3.98
1-0-1
3.51
1-0-1
2.71
2-0-0
3.72
1-0-1
3.54
2-0-0
3.19
 —

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 0.58 +8.1
Allowed 0.70 -8.7
Differential 0.93 +6.1

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
05.00%8.12%5.83%2.92%1.67%0.62%24.17%
18.12%10.42%7.08%3.96%1.88%1.04%32.50%
25.83%7.08%4.17%3.96%0.83%0.62%22.50%
32.92%3.96%3.96%1.25%0.62%0.21%12.92%
41.67%1.88%0.83%0.62%—0.21%5.21%
5+0.62%1.04%0.62%0.21%0.21%—2.71%
Total24.17%32.50%22.50%12.92%5.21%2.71%100%

Summary Statistics

Scored Allowed Difference
Mean 1.52 1.52 +0.00
SD 1.31 1.31 1.90
CV 0.86 0.86 —
Max 7 7 +6
Min 0 0 -6

Games Played: 240

↓ Scored | Allowed →012345+Total
03.33%6.67%6.67%3.33%——20.00%
16.67%6.67%3.33%3.33%——20.00%
23.33%13.33%6.67%———23.33%
36.67%6.67%6.67%———20.00%
413.33%3.33%————16.67%
5+———————
Total33.33%36.67%23.33%6.67%——100%

Summary Statistics

Scored Allowed Difference
Mean 1.93 1.03 +0.90
SD 1.39 0.93 1.95
CV 0.72 0.90 —
Max 4 3 +4
Min 0 0 -3

Games Played: 30

↓ Scored | Allowed →012345+Total
03.33%10.00%6.67%6.67%3.33%3.33%33.33%
13.33%13.33%10.00%——3.33%30.00%
23.33%6.67%—3.33%—3.33%16.67%
3—13.33%—3.33%——16.67%
4—3.33%————3.33%
5+———————
Total10.00%46.67%16.67%13.33%3.33%10.00%100%

Summary Statistics

Scored Allowed Difference
Mean 1.27 1.90 -0.63
SD 1.20 1.63 2.16
CV 0.95 0.86 —
Max 4 7 +3
Min 0 0 -5

Games Played: 30

↓ Scored | Allowed →012345+Total
0—10.00%13.33%3.33%6.67%—33.33%
113.33%10.00%13.33%6.67%6.67%3.33%53.33%
2—3.33%————3.33%
3——10.00%———10.00%
4———————
5+———————
Total13.33%23.33%36.67%10.00%13.33%3.33%100%

Summary Statistics

Scored Allowed Difference
Mean 0.90 1.97 -1.07
SD 0.88 1.33 1.66
CV 0.98 0.67 —
Max 3 5 +1
Min 0 0 -4

Games Played: 30

↓ Scored | Allowed →012345+Total
06.67%6.67%3.33%———16.67%
16.67%10.00%6.67%13.33%——36.67%
26.67%6.67%3.33%6.67%——23.33%
33.33%10.00%6.67%—3.33%—23.33%
4———————
5+———————
Total23.33%33.33%20.00%20.00%3.33%—100%

Summary Statistics

Scored Allowed Difference
Mean 1.53 1.47 +0.07
SD 1.04 1.17 1.46
CV 0.68 0.80 —
Max 3 4 +3
Min 0 0 -2

Games Played: 30

↓ Scored | Allowed →012345+Total
016.67%6.67%10.00%3.33%——36.67%
113.33%16.67%3.33%—6.67%—40.00%
2——3.33%6.67%——10.00%
3——10.00%———10.00%
4—3.33%————3.33%
5+———————
Total30.00%26.67%26.67%10.00%6.67%—100%

Summary Statistics

Scored Allowed Difference
Mean 1.03 1.37 -0.33
SD 1.10 1.22 1.40
CV 1.06 0.89 —
Max 4 4 +3
Min 0 0 -3

Games Played: 30

↓ Scored | Allowed →012345+Total
0—6.67%6.67%———13.33%
1—10.00%6.67%16.67%3.33%—36.67%
26.67%16.67%6.67%———30.00%
33.33%——3.33%——6.67%
4———————
5+3.33%3.33%6.67%———13.33%
Total13.33%36.67%26.67%20.00%3.33%—100%

Summary Statistics

Scored Allowed Difference
Mean 1.97 1.63 +0.33
SD 1.81 1.07 2.29
CV 0.92 0.65 —
Max 7 4 +6
Min 0 0 -3

Games Played: 30

↓ Scored | Allowed →012345+Total
06.67%10.00%—10.00%10.00%—36.67%
1—6.67%16.67%—6.67%3.33%33.33%
23.33%3.33%3.33%10.00%——20.00%
3———3.33%3.33%—6.67%
4———3.33%——3.33%
5+———————
Total10.00%20.00%20.00%26.67%20.00%3.33%100%

Summary Statistics

Scored Allowed Difference
Mean 1.07 2.37 -1.30
SD 1.08 1.38 1.62
CV 1.01 0.58 —
Max 4 5 +2
Min 0 0 -4

Games Played: 30

↓ Scored | Allowed →012345+Total
010.00%3.33%3.33%———16.67%
113.33%13.33%3.33%———30.00%
223.33%6.67%3.33%—3.33%—36.67%
3—3.33%—3.33%——6.67%
46.67%——3.33%——10.00%
5+———————
Total53.33%26.67%10.00%6.67%3.33%—100%

Summary Statistics

Scored Allowed Difference
Mean 1.63 0.80 +0.83
SD 1.16 1.10 1.44
CV 0.71 1.37 —
Max 4 4 +4
Min 0 0 -2

Games Played: 30

↓ Scored | Allowed →012345+Total
0—10.00%3.33%3.33%——16.67%
120.00%10.00%6.67%6.67%3.33%—46.67%
26.67%3.33%10.00%3.33%——23.33%
3——3.33%3.33%——6.67%
4—3.33%————3.33%
5+3.33%—————3.33%
Total30.00%26.67%23.33%16.67%3.33%—100%

Summary Statistics

Scored Allowed Difference
Mean 1.43 1.37 +0.07
SD 1.17 1.19 1.72
CV 0.81 0.87 —
Max 5 4 +5
Min 0 0 -3

Games Played: 30

↓ Scored | Allowed →012345+Total
03.33%20.00%6.67%3.33%——33.33%
110.00%16.67%6.67%3.33%——36.67%
2—10.00%—3.33%3.33%—16.67%
33.33%3.33%————6.67%
4—3.33%————3.33%
5+———3.33%——3.33%
Total16.67%53.33%13.33%13.33%3.33%—100%

Summary Statistics

Scored Allowed Difference
Mean 1.20 1.33 -0.13
SD 1.27 1.03 1.50
CV 1.06 0.77 —
Max 5 4 +3
Min 0 0 -3

Games Played: 30

↓ Scored | Allowed →012345+Total
06.67%6.67%3.33%3.33%3.33%3.33%26.67%
16.67%13.33%6.67%3.33%——30.00%
23.33%6.67%10.00%——3.33%23.33%
36.67%3.33%3.33%———13.33%
43.33%——3.33%——6.67%
5+———————
Total26.67%30.00%23.33%10.00%3.33%6.67%100%

Summary Statistics

Scored Allowed Difference
Mean 1.43 1.57 -0.13
SD 1.22 1.52 2.11
CV 0.85 0.97 —
Max 4 6 +4
Min 0 0 -6

Games Played: 30

↓ Scored | Allowed →012345+Total
013.33%10.00%6.67%———30.00%
113.33%3.33%3.33%—3.33%—23.33%
26.67%10.00%3.33%3.33%——23.33%
33.33%6.67%——3.33%—13.33%
4—3.33%————3.33%
5+—6.67%————6.67%
Total36.67%40.00%13.33%3.33%6.67%—100%

Summary Statistics

Scored Allowed Difference
Mean 1.57 1.03 +0.53
SD 1.48 1.13 1.74
CV 0.94 1.09 —
Max 5 4 +4
Min 0 0 -3

Games Played: 30

↓ Scored | Allowed →012345+Total
0—13.33%3.33%———16.67%
16.67%3.33%13.33%3.33%—6.67%33.33%
26.67%6.67%3.33%10.00%—3.33%30.00%
36.67%—6.67%———13.33%
4—3.33%————3.33%
5+3.33%—————3.33%
Total23.33%26.67%26.67%13.33%—10.00%100%

Summary Statistics

Scored Allowed Difference
Mean 1.63 1.77 -0.13
SD 1.22 1.65 2.21
CV 0.75 0.94 —
Max 5 6 +5
Min 0 0 -5

Games Played: 30

↓ Scored | Allowed →012345+Total
06.67%3.33%13.33%3.33%3.33%—30.00%
113.33%6.67%6.67%3.33%——30.00%
2—3.33%6.67%—3.33%—13.33%
33.33%6.67%6.67%3.33%——20.00%
4——6.67%———6.67%
5+———————
Total23.33%20.00%40.00%10.00%6.67%—100%

Summary Statistics

Scored Allowed Difference
Mean 1.43 1.57 -0.13
SD 1.30 1.17 1.70
CV 0.91 0.74 —
Max 4 4 +3
Min 0 0 -4

Games Played: 30

↓ Scored | Allowed →012345+Total
0—3.33%—3.33%——6.67%
1—26.67%6.67%3.33%——36.67%
26.67%6.67%6.67%6.67%——26.67%
36.67%—6.67%——3.33%16.67%
4—3.33%3.33%——3.33%10.00%
5+—3.33%————3.33%
Total13.33%43.33%23.33%13.33%—6.67%100%

Summary Statistics

Scored Allowed Difference
Mean 1.97 1.63 +0.33
SD 1.25 1.27 1.65
CV 0.63 0.78 —
Max 5 5 +4
Min 0 0 -3

Games Played: 30

↓ Scored | Allowed →012345+Total
03.33%3.33%6.67%3.33%—3.33%20.00%
13.33%—————3.33%
216.67%10.00%—10.00%3.33%—40.00%
33.33%10.00%3.33%———16.67%
43.33%3.33%3.33%———10.00%
5+—3.33%3.33%—3.33%—10.00%
Total30.00%30.00%16.67%13.33%6.67%3.33%100%

Summary Statistics

Scored Allowed Difference
Mean 2.27 1.47 +0.80
SD 1.60 1.41 2.20
CV 0.70 0.96 —
Max 6 5 +5
Min 0 0 -5

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 Hamarkameratene 42 27.71 +14.29
2 Viking 61 52.20 +8.80
3 Mjondalen 60 51.72 +8.28
4 Nest-Sotra 43 37.11 +5.89
5 Tromsdalen 43 37.79 +5.21

Biggest Disappointments

# Team Actual Sim vsSim
1 Levanger 15 34.87 -19.87
2 Floro 27 31.83 -4.83
3 Jerv 35 39.28 -4.28
4 Ullensaker Kisa 43 46.11 -3.11
5 Asane 33 35.60 -2.60

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 Hamarkameratene 3 May 21 – Jun 3 1 in 130
2 Jerv 4 May 13 – May 27 1 in 78
3 Kongsvinger 4 May 29 – Jun 17 1 in 65
4 Mjondalen 5 May 21 – Jun 17 1 in 58
5 Aalesund 6 Apr 8 – May 13 1 in 57

Most Unlikely Losing Streaks

# Team Games Dates Probability
1 Sogndal 3 Aug 14 – Aug 28 1 in 166
2 Viking 4 May 22 – Jun 16 1 in 100
3 Levanger 6 Jul 1 – Aug 19 1 in 90
4 Sandnes Ulf 4 May 27 – Jun 17 1 in 67
5 Aalesund 2 May 27 – Jun 3 1 in 61

Most Unlikely Unbeaten Streaks

# Team Games Dates Probability
1 Sandnes Ulf 8 Aug 19 – Oct 21 1 in 38
2 Jerv 7 Apr 22 – May 27 1 in 32
3 Mjondalen 13 Jul 22 – Oct 30 1 in 29
4 Aalesund 9 Apr 3 – May 22 1 in 14
5 Hamarkameratene 3 May 21 – Jun 3 1 in 13

Most Unlikely Winless Streaks

# Team Games Dates Probability
1 Levanger 20 Jun 3 – Nov 11 1 in 724
2 Floro 8 Apr 15 – May 27 1 in 34
3 Jerv 7 Jun 17 – Aug 19 1 in 21
4 Strommen 6 Apr 29 – May 27 1 in 19
5 Ullensaker Kisa 5 Sep 23 – Oct 28 1 in 15

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
Viking17.81%19.71%18.43%15.08%10.47%7.27%4.02%2.77%1.81%1.25%0.59%0.37%0.28%0.12%0.01%0.01%
Mjondalen15.86%18.86%18.36%15.81%10.65%7.66%5.18%2.87%1.87%1.53%0.67%0.28%0.26%0.10%0.03%0.01%
Aalesund40.29%22.62%15.16%8.95%5.75%3.17%1.89%1.08%0.50%0.29%0.20%0.06%0.02%0.02%——
Sogndal18.16%21.33%18.50%14.82%9.72%6.99%4.14%2.63%1.69%0.95%0.49%0.24%0.15%0.11%0.07%0.01%
Ullensaker Kisa3.63%6.66%9.77%13.94%14.61%12.90%11.33%8.10%5.88%4.78%3.14%2.13%1.48%0.97%0.55%0.13%
Nest-Sotra0.20%0.51%1.44%2.30%4.15%5.68%7.02%9.21%10.59%10.65%11.28%10.02%9.20%7.95%6.20%3.60%
Tromsdalen0.29%0.70%1.35%2.73%4.53%6.85%8.59%9.66%10.94%9.75%9.87%9.73%8.83%6.79%5.95%3.44%
Kongsvinger1.81%3.83%6.59%9.01%12.70%13.49%11.91%10.00%8.36%6.78%5.18%3.86%3.07%1.82%1.19%0.40%
Hamarkameratene—0.01%0.04%0.11%0.26%0.45%0.82%1.57%2.23%3.51%4.87%6.92%9.18%13.65%19.86%36.52%
Sandnes Ulf1.25%3.29%5.08%7.56%10.50%11.75%11.91%11.39%9.38%7.90%6.25%4.74%4.07%2.68%1.42%0.83%
Strommen0.20%0.73%1.39%2.58%4.45%6.11%7.99%9.23%9.44%10.92%10.46%9.96%9.30%7.75%6.01%3.48%
Notodden0.01%0.06%0.18%0.40%0.76%1.65%2.48%3.72%4.87%6.32%7.99%10.60%12.32%14.58%16.77%17.29%
Jerv0.32%1.17%2.45%3.79%5.91%7.48%9.80%10.88%10.40%10.68%9.50%8.27%7.53%5.53%4.00%2.29%
Asane0.11%0.25%0.65%1.42%2.57%3.75%5.49%7.60%9.17%9.32%10.72%11.29%11.03%10.96%8.98%6.69%
Floro0.01%0.07%0.15%0.36%0.87%1.62%2.37%3.33%4.98%6.80%8.20%10.04%11.47%15.04%18.07%16.62%
Levanger0.05%0.20%0.46%1.14%2.10%3.18%5.06%5.96%7.89%8.57%10.59%11.49%11.81%11.93%10.89%8.68%

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
+7.50%
Slight Edge
43.33%20.83%35.83%
Elo Value
Home Edge: 26.11 Elo pts.
204 Elo
0.005 goals per Elo point
0600
Scoring Tilt
Expected
+0.23 goals
Neutral
-2+0.13+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
3.9
Top-Heavy
124610
Champion Preseason Odds
18%
Viking, 3rd of 16
LongshotFavorite
Title Margin
Expected
0.03/gm
Photo Finish
00.160.5/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 5.37 * Some Luck: 5.37 to 8.05 * Lucky: 8.05 to 10.74 * Wild Swing: 10.74 and up.
Average Finish Error
Average gap between where each team was projected to finish and where they actually finished in the table.
Pinpoint: under 1.89 * Close: 1.89 to 2.84 * Off: 2.84 to 3.79 * Way Off: 3.79 and up.
Biggest Overachiever
The team that finished highest inside its own range of simulated outcomes. The gold line is where the top team in a league of 16 typically lands.
Biggest Underachiever
The team that finished lowest inside its own range of simulated outcomes. The gold line is where the bottom team in a league of 16 typically lands.
Season Outliers
Number of teams that finished above the 95th or below the 5th percentile of their own simulated range. Even a well-calibrated model expects about 10% of teams in the extremes.
Minimal Outliers: under 16 * As Expected: 16 to 25.6 * Several Outliers: 25.6 to 35.2 * Many Outliers: 35.2 and up.
Luck Spread
Expected
7.46 points
Some Luck
06.7117
Average Finish Error
Expected
2.62
Close
02.375
Biggest Overachiever
Expected 96.88%
98.70%
Hamarkameratene
50100
Biggest Underachiever
Expected 3.12%
0.10%
Levanger
050
Season Outliers
Expected
2 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
1.47
Moderate Separation
01.003
Interquartile Edge
66%
Slight Edge
50%60%70%80%100%
Best vs. Worst
Baseline
86%
Strong Edge
50%88%100%
Close Games
Expected
61%
Very Frequent
0%57%100%
Blowouts
Expected
18%
Frequent
0%19%100%

Predictability

How these are measured

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

Brier Score
How close the pregame probabilities landed to the actual result, averaged over the season. Confident, correct calls are rewarded most; confident misses are punished most. Lower is better; since draws are possible, a score under 0.66 beats guessing the base rate.
Highly Predictable: under 0.56 * Predictable: 0.56 to 0.62 * Hard to Predict: 0.62 to 0.66 * Coin-Flip: 0.66 and up.
Matchup Imbalance
How lopsided the matchups were on paper, averaging the gap between the two win probabilities over their sum. 0 means every match was a toss-up; 1 means every match was a heavy favorite against a big underdog.
Very Even: under 0.1 * Slight Separation: 0.1 to 0.18 * Notable Separation: 0.18 to 0.28 * Lopsided: 0.28 and up.
Strangeness
How wild the final table was versus what the model expected. A value of 1 means teams landed about one standard deviation from their projections on average. Above 1 is a stranger season; below 1 hugged the projections.
Very Predictable: under 0.8 * As Expected: 0.8 to 1.1 * Wilder Than Modeled: 1.1 to 1.4 * Chaotic: 1.4 and up.
Repeatability
How closely the final table order matched the preseason Elo order, by Spearman rank correlation. Higher means last season's ratings strongly predicted this season's finish. Shows N/A for an inaugural season.
Weak Carryover: under 0.3 * Some Carryover: 0.3 to 0.6 * Strong Carryover: 0.6 to 0.85 * Near-Lock: 0.85 and up.
Upset Rate
Share of matches the underdog won. The gold line is how often the model expected underdogs to win; a dot to the right means upsets ran hotter than expected.
Chalky: under 25% * As Expected: 25% to 33% * Upset-Prone: 33% to 42% * Very Upset-Prone: 42% and up.
Clear Favorite Upset Rate
Share of matches the underdog won, counting only games with a clear favorite (at least 60% likely to win once a draw is set aside). The gold line is how often the model expected these favorites to slip.
Solid Favorites: under 15% * As Expected: 15% to 25% * Shaky Favorites: 25% to 35% * Very Shaky: 35% and up.
Brier Score
Expected
0.62
Hard to Predict
00.612
Matchup Imbalance
0.35
Lopsided
00.10.180.280.5
Strangeness
Expected
1.30
Wilder Than Modeled
01.002
Repeatability
0.51
Some Carryover
00.30.60.851
Upset Rate
Expected
29%
As Expected
0%24%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 0.1 * Near Noise Ceiling: 0.1 to 0.15 * Above Noise: 0.15 to 0.2 * Well Above Noise: 0.2 and up.
Probability calibration
0.43
Well Calibrated
0.010.050.10.51
Calibration slope
Ideal
0.78
Overconfident
0.51.001.5
Calibration error (ECE)
Noise ceiling
0.091
Well Within Noise
00.1010.25

Stochastic Promotion/Relegation Outcomes

Across 100,000 regular-season simulations from preseason Elo, the probability of each team's next-season outcome — promotion-positive outcomes on the left, relegation-positive on the right. The round buttons switch to heatmaps of how often each pair of teams met in that round of the playoff across the simulations, since every iteration produces a different field.

Team Direct promotion Lost promotion playoff Same level Direct relegation
Viking 37.52% 51.25% 11.21% 0.02%
Mjondalen 34.72% 52.48% 12.76% 0.04%
Kongsvinger 5.64% 41.79% 50.98% 1.59%
Sandnes Ulf 4.54% 34.89% 58.32% 2.25%
Aalesund — 100% — —
Nest-Sotra — 100% — —
Sogndal — 100% — —
Ullensaker Kisa — 100% — —
Jerv 1.49% 19.63% 72.59% 6.29%
Tromsdalen 0.99% 15.46% 74.16% 9.39%
Strommen 0.93% 14.53% 75.05% 9.49%
Asane 0.36% 8.39% 75.58% 15.67%
Levanger 0.25% 6.88% 73.30% 19.57%
Notodden 0.07% 2.99% 62.88% 34.06%
Floro 0.08% 3.00% 62.23% 34.69%
Hamarkameratene 0.01% 0.86% 42.75% 56.38%
Loser →
↓ Winner
AalesundAsaneBodo GlimtBrannFloroHamarkamerateneHaugesundJervKongsvingerKristiansundLevangerLillestromMjondalenNest-SotraNotoddenOddsRanheimSandefjordSandnes UlfSarpsborg 08SogndalStabaekStartStrommenStromsgodsetTromsdalenTromsoUllensaker KisaValerengaViking
Aalesund50.0%2.00%100.0%1.00%80.0%5.00%88.9%9.00%0.0%1.00%66.7%6.00%100.0%1.00%100.0%2.00%100.0%3.00%100.0%1.00%66.7%3.00%50.0%6.00%50.0%2.00%
Asane50.0%2.00%0.0%2.00%100.0%1.00%
Bodo Glimt
Brann
Floro100.0%1.00%0.0%1.00%100.0%1.00%0.0%2.00%
Hamarkameratene0.0%1.00%
Haugesund
Jerv20.0%5.00%60.0%5.00%25.0%4.00%50.0%2.00%50.0%2.00%0.0%1.00%33.3%3.00%0.0%6.00%
Kongsvinger11.1%9.00%40.0%5.00%100.0%1.00%20.0%5.00%100.0%1.00%50.0%2.00%33.3%3.00%100.0%3.00%20.0%5.00%37.5%8.00%
Kristiansund
Levanger100.0%1.00%0.0%1.00%0.0%1.00%0.0%1.00%0.0%1.00%
Lillestrom
Mjondalen33.3%6.00%0.0%1.00%75.0%4.00%80.0%5.00%100.0%1.00%0.0%1.00%77.8%9.00%50.0%2.00%100.0%2.00%50.0%2.00%25.0%4.00%50.0%10.00%
Nest-Sotra0.0%1.00%100.0%1.00%100.0%1.00%50.0%2.00%0.0%1.00%
Notodden0.0%1.00%0.0%1.00%100.0%1.00%0.0%1.00%100.0%1.00%
Odds
Ranheim
Sandefjord
Sandnes Ulf0.0%2.00%50.0%2.00%50.0%2.00%22.2%9.00%0.0%1.00%100.0%1.00%30.0%10.00%33.3%3.00%100.0%1.00%40.0%5.00%20.0%5.00%
Sarpsborg 08
Sogndal0.0%3.00%100.0%2.00%100.0%1.00%50.0%2.00%66.7%3.00%100.0%1.00%50.0%2.00%0.0%1.00%0.0%1.00%70.0%10.00%50.0%2.00%50.0%2.00%30.0%10.00%42.9%7.00%
Stabaek
Start
Strommen0.0%1.00%0.0%1.00%0.0%2.00%66.7%3.00%50.0%2.00%50.0%2.00%0.0%3.00%
Stromsgodset
Tromsdalen33.3%3.00%100.0%1.00%0.0%3.00%100.0%1.00%50.0%2.00%0.0%1.00%50.0%2.00%0.0%1.00%
Tromso
Ullensaker Kisa50.0%6.00%0.0%1.00%66.7%3.00%80.0%5.00%75.0%4.00%50.0%2.00%60.0%5.00%70.0%10.00%50.0%2.00%28.6%7.00%
Valerenga
Viking50.0%2.00%100.0%2.00%100.0%6.00%62.5%8.00%100.0%1.00%50.0%10.00%100.0%1.00%80.0%5.00%57.1%7.00%100.0%3.00%100.0%1.00%71.4%7.00%
Loser →
↓ Winner
AalesundAsaneBodo GlimtBrannFloroHaugesundJervKongsvingerKristiansundLevangerLillestromMjondalenNest-SotraNotoddenOddsRanheimSandefjordSandnes UlfSarpsborg 08SogndalStabaekStartStrommenStromsgodsetTromsdalenTromsoUllensaker KisaValerengaViking
Aalesund100.0%1.00%50.0%2.00%100.0%2.00%50.0%4.00%100.0%1.00%50.0%2.00%33.3%3.00%0.0%1.00%85.7%7.00%37.5%8.00%
Asane50.0%2.00%
Bodo Glimt
Brann
Floro0.0%1.00%0.0%1.00%
Haugesund
Jerv50.0%2.00%100.0%1.00%100.0%1.00%33.3%3.00%0.0%1.00%
Kongsvinger0.0%2.00%0.0%1.00%50.0%2.00%100.0%1.00%50.0%2.00%50.0%2.00%60.0%5.00%
Kristiansund
Levanger0.0%1.00%
Lillestrom
Mjondalen50.0%4.00%50.0%2.00%0.0%1.00%50.0%2.00%100.0%2.00%100.0%1.00%100.0%1.00%100.0%7.00%28.6%7.00%
Nest-Sotra0.0%1.00%100.0%1.00%0.0%1.00%
Notodden0.0%1.00%0.0%1.00%
Odds
Ranheim
Sandefjord
Sandnes Ulf50.0%2.00%100.0%1.00%50.0%2.00%0.0%1.00%100.0%1.00%100.0%2.00%25.0%4.00%
Sarpsborg 08
Sogndal66.7%3.00%66.7%3.00%50.0%2.00%0.0%2.00%100.0%1.00%100.0%1.00%0.0%1.00%100.0%3.00%33.3%3.00%75.0%4.00%
Stabaek
Start
Strommen100.0%1.00%0.0%1.00%0.0%1.00%100.0%1.00%
Stromsgodset
Tromsdalen0.0%1.00%0.0%3.00%0.0%1.00%
Tromso
Ullensaker Kisa14.3%7.00%50.0%2.00%0.0%7.00%0.0%2.00%66.7%3.00%0.0%5.00%
Valerenga
Viking62.5%8.00%50.0%2.00%100.0%1.00%100.0%1.00%40.0%5.00%71.4%7.00%75.0%4.00%25.0%4.00%100.0%1.00%100.0%5.00%
Loser →
↓ Winner
AalesundAsaneBodo GlimtBrannFloroHaugesundJervKongsvingerKristiansundLevangerLillestromMjondalenNest-SotraNotoddenOddsRanheimSandefjordSandnes UlfSarpsborg 08SogndalStabaekStartStrommenStromsgodsetTromsdalenTromsoUllensaker KisaValerengaViking
Aalesund0.0%1.00%0.0%1.00%66.7%3.00%50.0%2.00%0.0%4.00%66.7%3.00%50.0%2.00%0.0%1.00%100.0%1.00%
Asane100.0%1.00%
Bodo Glimt100.0%1.00%0.0%1.00%0.0%1.00%100.0%2.00%100.0%1.00%
Brann100.0%1.00%
Floro
Haugesund100.0%1.00%50.0%2.00%
Jerv0.0%1.00%100.0%1.00%100.0%1.00%0.0%1.00%
Kongsvinger100.0%1.00%0.0%1.00%0.0%3.00%100.0%1.00%0.0%1.00%
Kristiansund100.0%1.00%100.0%1.00%100.0%1.00%0.0%1.00%50.0%2.00%
Levanger
Lillestrom33.3%3.00%0.0%1.00%0.0%1.00%100.0%2.00%0.0%1.00%0.0%1.00%
Mjondalen100.0%1.00%40.0%5.00%60.0%5.00%0.0%1.00%100.0%3.00%100.0%2.00%
Nest-Sotra0.0%1.00%
Notodden
Odds0.0%1.00%0.0%1.00%50.0%2.00%
Ranheim50.0%2.00%100.0%3.00%60.0%5.00%42.9%7.00%
Sandefjord100.0%4.00%0.0%1.00%40.0%5.00%100.0%1.00%100.0%1.00%0.0%3.00%50.0%2.00%80.0%5.00%
Sandnes Ulf0.0%2.00%100.0%1.00%0.0%1.00%0.0%1.00%100.0%1.00%100.0%1.00%
Sarpsborg 08100.0%1.00%100.0%1.00%
Sogndal50.0%2.00%0.0%1.00%0.0%2.00%100.0%1.00%100.0%3.00%50.0%4.00%0.0%1.00%
Stabaek33.3%3.00%0.0%1.00%100.0%1.00%100.0%1.00%50.0%4.00%0.0%1.00%
Start50.0%2.00%100.0%1.00%0.0%3.00%0.0%1.00%33.3%3.00%
Strommen0.0%1.00%100.0%1.00%
Stromsgodset100.0%1.00%100.0%1.00%
Tromsdalen
Tromso100.0%1.00%0.0%2.00%100.0%1.00%
Ullensaker Kisa100.0%1.00%50.0%2.00%0.0%1.00%
Valerenga0.0%1.00%0.0%1.00%100.0%1.00%
Viking0.0%1.00%50.0%2.00%100.0%1.00%50.0%2.00%57.1%7.00%20.0%5.00%0.0%1.00%100.0%1.00%66.7%3.00%0.0%1.00%0.0%1.00%

Actual Promotion/Relegation Outcomes

Just the teams that actually reached the promotion playoff. With the field fixed in place, the playoff sim re-runs every tie and tallies how often each team won each round — the table gives those probabilities, and the final round's column is the chance of winning the playoff outright. The round buttons switch to heatmaps of how often each pairing met in that round.

Team Quarterfinals Semifinals Finals
Stabaek — — 57.36%
Aalesund 73.22% 46.76% 22.18%
Sogndal 66.50% 28.40% 12.54%
Ullensaker Kisa 33.50% 12.27% 4.20%
Nest-Sotra 26.78% 12.57% 3.72%
Loser →
↓ Winner
AalesundNest-SotraSogndalStabaekUllensaker Kisa
Aalesund73.2%100.00%
Nest-Sotra26.8%100.00%
Sogndal66.5%100.00%
Stabaek
Ullensaker Kisa33.5%100.00%
Loser →
↓ Winner
AalesundNest-SotraSogndalStabaekUllensaker Kisa
Aalesund62.1%48.74%67.4%24.48%
Nest-Sotra44.1%17.76%52.4%9.02%
Sogndal37.9%48.74%55.9%17.76%
Stabaek
Ullensaker Kisa32.6%24.48%47.6%9.02%
Loser →
↓ Winner
AalesundNest-SotraSogndalStabaekUllensaker Kisa
Aalesund47.4%46.76%
Nest-Sotra29.6%12.57%
Sogndal44.2%28.40%
Stabaek52.6%46.76%70.4%12.57%55.8%28.40%65.8%12.27%
Ullensaker Kisa34.2%12.27%

Overall Game Log

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

Date Opponent Score Pre Elo Opp Elo Win % Tie % Loss % Elo Δ Points
2018-04-02 Floro D 1-1 1394 1338 52.8% 25.7% 21.5% -1.3 1
2018-04-02 @ Mjondalen D 1-1 1338 1394 21.5% 25.7% 52.8% +1.3 1
2018-04-02 Hamarkameratene D 1-1 1351 1192 64.5% 21.5% 14.0% -2.1 1
2018-04-02 @ Ullensaker Kisa D 1-1 1192 1351 14.0% 21.5% 64.5% +2.1 1
2018-04-02 Levanger D 1-1 1243 1353 30.4% 27.6% 42.0% +0.5 1
2018-04-02 @ Notodden D 1-1 1353 1243 42.0% 27.6% 30.4% -0.4 1
2018-04-02 Nest-Sotra W 3-1 1307 1299 46.8% 27.0% 26.2% +9.1 3
2018-04-02 @ Asane L 1-3 1299 1307 26.2% 27.0% 46.8% -9.1 0
2018-04-02 Strommen W 2-1 1366 1329 50.5% 26.3% 23.2% +4.8 3
2018-04-02 @ Sandnes Ulf L 1-2 1329 1366 23.2% 26.3% 50.5% -4.8 0
2018-04-02 Viking L 0-2 1365 1432 36.4% 27.8% 35.7% -13.6 0
2018-04-02 @ Kongsvinger W 2-0 1432 1365 35.7% 27.8% 36.4% +13.6 3
2018-04-03 Sogndal D 0-0 1438 1443 45.1% 27.3% 27.7% -0.8 1
2018-04-03 @ Aalesund D 0-0 1443 1438 27.7% 27.3% 45.1% +0.8 1
2018-04-08 Aalesund L 1-2 1353 1438 33.9% 27.8% 38.3% -6.5 1
2018-04-08 @ Levanger W 2-1 1438 1353 38.3% 27.8% 33.9% +6.5 4
2018-04-08 Asane W 3-0 1324 1316 46.8% 27.0% 26.2% +15.4 3
2018-04-08 @ Strommen L 0-3 1316 1324 26.2% 27.0% 46.8% -15.3 3
2018-04-08 Kongsvinger W 1-0 1339 1352 44.0% 27.4% 28.6% +6.0 4
2018-04-08 @ Floro L 0-1 1352 1339 28.6% 27.4% 44.0% -6.0 0
2018-04-08 Notodden L 1-3 1194 1243 38.9% 27.8% 33.3% -12.4 1
2018-04-08 @ Hamarkameratene W 3-1 1243 1194 33.3% 27.8% 38.9% +12.4 4
2018-04-08 Sandnes Ulf L 2-3 1289 1371 34.4% 27.8% 37.8% -6.2 0
2018-04-08 @ Nest-Sotra W 3-2 1371 1289 37.8% 27.8% 34.4% +6.2 6
2018-04-08 Tromsdalen D 1-1 1444 1312 61.6% 22.8% 15.7% -1.9 2
2018-04-08 @ Sogndal D 1-1 1312 1444 15.7% 22.8% 61.6% +1.9 1
2018-04-08 Ullensaker Kisa D 1-1 1336 1349 44.0% 27.4% 28.6% -0.6 1
2018-04-08 @ Jerv D 1-1 1349 1336 28.6% 27.4% 44.0% +0.6 2
2018-04-10 Mjondalen L 0-2 1445 1392 52.5% 25.8% 21.7% -18.1 3
2018-04-10 @ Viking W 2-0 1392 1445 21.7% 25.8% 52.5% +18.1 4
2018-04-14 Sogndal D 0-0 1410 1442 41.4% 27.6% 30.9% -0.5 5
2018-04-14 @ Mjondalen D 0-0 1442 1410 30.9% 27.6% 41.4% +0.5 3
2018-04-15 Floro W 4-0 1444 1345 57.9% 24.2% 17.9% +14.1 7
2018-04-15 @ Aalesund L 0-4 1345 1444 17.9% 24.2% 57.9% -14.1 4
2018-04-15 Hamarkameratene D 1-1 1301 1181 60.2% 23.3% 16.4% -1.8 4
2018-04-15 @ Asane D 1-1 1181 1301 16.4% 23.3% 60.2% +1.8 2
2018-04-15 Jerv W 2-0 1346 1335 47.0% 27.0% 26.0% +10.5 3
2018-04-15 @ Kongsvinger L 0-2 1335 1346 26.0% 27.0% 47.0% -10.5 1
2018-04-15 Levanger W 1-0 1377 1347 49.6% 26.5% 23.9% +5.2 9
2018-04-15 @ Sandnes Ulf L 0-1 1347 1377 23.9% 26.5% 49.6% -5.2 1
2018-04-15 Nest-Sotra W 2-1 1255 1283 41.9% 27.6% 30.5% +6.0 7
2018-04-15 @ Notodden L 1-2 1283 1255 30.5% 27.6% 41.9% -6.0 0
2018-04-15 Strommen W 2-1 1350 1340 47.0% 27.0% 26.0% +5.2 5
2018-04-15 @ Ullensaker Kisa L 1-2 1340 1350 26.0% 27.0% 47.0% -5.2 3
2018-04-15 Viking L 0-2 1314 1427 30.1% 27.6% 42.3% -11.8 1
2018-04-15 @ Tromsdalen W 2-0 1427 1314 42.3% 27.6% 30.1% +11.8 6
2018-04-22 Asane W 4-0 1439 1299 62.4% 22.4% 15.1% +11.9 9
2018-04-22 @ Viking L 0-4 1299 1439 15.1% 22.4% 62.4% -11.9 4
2018-04-22 Kongsvinger W 4-1 1442 1356 56.4% 24.7% 18.9% +9.6 6
2018-04-22 @ Sogndal L 1-4 1356 1442 18.9% 24.7% 56.4% -9.6 3
2018-04-22 Levanger W 3-0 1334 1341 44.8% 27.3% 28.0% +16.2 6
2018-04-22 @ Strommen L 0-3 1341 1334 28.0% 27.3% 44.8% -16.2 1
2018-04-22 Mjondalen D 0-0 1325 1410 33.8% 27.8% 38.4% +0.2 2
2018-04-22 @ Jerv D 0-0 1410 1325 38.4% 27.8% 33.8% -0.2 6
2018-04-22 Notodden L 1-4 1331 1261 54.5% 25.3% 20.2% -22.8 4
2018-04-22 @ Floro W 4-1 1261 1331 20.2% 25.3% 54.5% +22.8 10
2018-04-22 Tromsdalen W 4-0 1458 1302 64.1% 21.7% 14.2% +11.0 10
2018-04-22 @ Aalesund L 0-4 1302 1458 14.2% 21.7% 64.1% -11.0 1
2018-04-22 Ullensaker Kisa L 0-3 1277 1355 34.9% 27.8% 37.3% -19.1 0
2018-04-22 @ Nest-Sotra W 3-0 1355 1277 37.3% 27.8% 34.9% +19.2 8
2018-04-24 Sandnes Ulf D 0-0 1183 1382 21.0% 25.6% 53.4% +1.5 3
2018-04-24 @ Hamarkameratene D 0-0 1382 1183 53.4% 25.6% 21.0% -1.5 10
2018-04-28 Aalesund L 1-3 1347 1469 28.9% 27.4% 43.6% -9.9 3
2018-04-28 @ Kongsvinger W 3-1 1469 1347 43.6% 27.4% 28.9% +9.9 13
2018-04-29 Floro W 3-1 1287 1308 42.8% 27.5% 29.7% +10.1 7
2018-04-29 @ Asane L 1-3 1308 1287 29.7% 27.5% 42.8% -10.1 4
2018-04-29 Hamarkameratene W 4-3 1325 1185 62.5% 22.4% 15.1% +2.9 4
2018-04-29 @ Levanger L 3-4 1185 1325 15.1% 22.4% 62.5% -2.9 3
2018-04-29 Jerv D 0-0 1380 1325 52.8% 25.7% 21.5% -1.4 11
2018-04-29 @ Sandnes Ulf D 0-0 1325 1380 21.5% 25.7% 52.8% +1.4 3
2018-04-29 Nest-Sotra L 1-2 1351 1258 57.2% 24.4% 18.4% -9.7 6
2018-04-29 @ Strommen W 2-1 1258 1351 18.4% 24.4% 57.2% +9.7 3
2018-04-29 Sogndal L 0-2 1284 1452 23.9% 26.5% 49.6% -9.8 10
2018-04-29 @ Notodden W 2-0 1452 1284 49.6% 26.5% 23.9% +9.8 9
2018-04-29 Tromsdalen D 0-0 1410 1291 60.1% 23.4% 16.5% -2.0 7
2018-04-29 @ Mjondalen D 0-0 1291 1410 16.5% 23.4% 60.1% +2.0 2
2018-04-29 Viking L 4-5 1374 1451 34.9% 27.8% 37.2% -6.0 8
2018-04-29 @ Ullensaker Kisa W 5-4 1451 1374 37.2% 27.8% 34.9% +6.0 12
2018-05-05 Strommen W 3-2 1182 1341 24.8% 26.7% 48.5% +8.0 6
2018-05-05 @ Hamarkameratene L 2-3 1341 1182 48.5% 26.7% 24.8% -8.0 6
2018-05-06 Asane D 1-1 1327 1297 49.5% 26.5% 24.0% -1.0 4
2018-05-06 @ Jerv D 1-1 1297 1327 24.0% 26.5% 49.5% +1.0 8
2018-05-06 Kongsvinger D 3-3 1293 1337 39.7% 27.8% 32.5% -0.2 3
2018-05-06 @ Tromsdalen D 3-3 1337 1293 32.5% 27.8% 39.7% +0.2 4
2018-05-06 Levanger W 4-1 1268 1328 37.3% 27.8% 34.8% +16.1 6
2018-05-06 @ Nest-Sotra L 1-4 1328 1268 34.8% 27.8% 37.3% -16.1 4
2018-05-06 Mjondalen W 2-1 1479 1408 54.7% 25.2% 20.1% +4.2 16
2018-05-06 @ Aalesund L 1-2 1408 1479 20.1% 25.2% 54.7% -4.2 7
2018-05-06 Notodden W 3-1 1457 1274 66.8% 20.4% 12.7% +4.5 15
2018-05-06 @ Viking L 1-3 1274 1457 12.7% 20.4% 66.8% -4.5 10
2018-05-06 Sandnes Ulf D 2-2 1462 1379 56.0% 24.8% 19.2% -1.1 10
2018-05-06 @ Sogndal D 2-2 1379 1462 19.2% 24.8% 56.0% +1.1 12
2018-05-06 Ullensaker Kisa D 1-1 1298 1368 36.0% 27.8% 36.2% +0.0 5
2018-05-06 @ Floro D 1-1 1368 1298 36.2% 27.8% 36.0% +0.0 9
2018-05-13 Aalesund L 2-3 1298 1483 22.2% 26.0% 51.7% -4.4 8
2018-05-13 @ Asane W 3-2 1483 1298 51.7% 26.0% 22.2% +4.4 19
2018-05-13 Floro W 4-0 1380 1298 56.0% 24.8% 19.2% +15.2 15
2018-05-13 @ Sandnes Ulf L 0-4 1298 1380 19.2% 24.8% 56.0% -15.2 5
2018-05-13 Jerv L 2-3 1333 1326 46.7% 27.0% 26.3% -7.8 6
2018-05-13 @ Strommen W 3-2 1326 1333 26.3% 27.0% 46.7% +7.8 7
2018-05-13 Mjondalen L 0-1 1337 1404 36.4% 27.8% 35.8% -7.2 4
2018-05-13 @ Kongsvinger W 1-0 1404 1337 35.8% 27.8% 36.4% +7.2 10
2018-05-13 Nest-Sotra D 1-1 1190 1284 32.6% 27.8% 39.7% +0.3 7
2018-05-13 @ Hamarkameratene D 1-1 1284 1190 39.7% 27.8% 32.6% -0.3 7
2018-05-13 Sogndal W 2-0 1368 1460 32.8% 27.8% 39.5% +14.4 12
2018-05-13 @ Ullensaker Kisa L 0-2 1460 1368 39.5% 27.8% 32.8% -14.4 10
2018-05-13 Tromsdalen L 2-3 1270 1293 42.5% 27.5% 29.9% -7.2 10
2018-05-13 @ Notodden W 3-2 1293 1270 29.9% 27.5% 42.5% +7.2 6
2018-05-13 Viking D 0-0 1312 1461 25.9% 26.9% 47.2% +0.9 5
2018-05-13 @ Levanger D 0-0 1461 1312 47.2% 26.9% 25.9% -0.9 16
2018-05-16 Asane L 1-4 1446 1294 63.7% 21.9% 14.4% -25.8 10
2018-05-16 @ Sogndal W 4-1 1294 1446 14.4% 21.9% 63.7% +25.9 11
2018-05-16 Hamarkameratene W 2-1 1330 1190 62.4% 22.4% 15.2% +3.1 7
2018-05-16 @ Kongsvinger L 1-2 1190 1330 15.2% 22.4% 62.4% -3.1 7
2018-05-16 Levanger L 1-2 1300 1313 44.0% 27.4% 28.6% -7.8 6
2018-05-16 @ Tromsdalen W 2-1 1313 1300 28.6% 27.4% 44.0% +7.8 8
2018-05-16 Nest-Sotra L 0-2 1283 1284 45.6% 27.2% 27.2% -16.1 5
2018-05-16 @ Floro W 2-0 1284 1283 27.2% 27.2% 45.6% +16.1 10
2018-05-16 Notodden W 1-0 1333 1263 54.6% 25.2% 20.2% +4.4 10
2018-05-16 @ Jerv L 0-1 1263 1333 20.2% 25.2% 54.6% -4.4 10
2018-05-16 Sandnes Ulf W 5-2 1460 1395 54.0% 25.4% 20.6% +9.1 19
2018-05-16 @ Viking L 2-5 1395 1460 20.6% 25.4% 54.0% -9.1 15
2018-05-16 Strommen D 2-2 1488 1325 64.8% 21.4% 13.8% -1.6 20
2018-05-16 @ Aalesund D 2-2 1325 1488 13.8% 21.4% 64.8% +1.6 7
2018-05-16 Ullensaker Kisa L 0-2 1411 1382 49.4% 26.5% 24.1% -17.2 10
2018-05-16 @ Mjondalen W 2-0 1382 1411 24.1% 26.5% 49.4% +17.2 15
2018-05-21 Floro W 3-0 1187 1267 34.5% 27.8% 37.7% +20.2 10
2018-05-21 @ Hamarkameratene L 0-3 1267 1187 37.7% 27.8% 34.5% -20.2 5
2018-05-21 Jerv L 2-3 1321 1338 43.4% 27.5% 29.2% -7.4 8
2018-05-21 @ Levanger W 3-2 1338 1321 29.2% 27.5% 43.4% +7.4 13
2018-05-21 Kongsvinger W 3-1 1320 1333 44.0% 27.4% 28.6% +9.8 14
2018-05-21 @ Asane L 1-3 1333 1320 28.6% 27.4% 44.0% -9.8 7
2018-05-21 Mjondalen L 0-1 1327 1394 36.4% 27.8% 35.8% -7.2 7
2018-05-21 @ Strommen W 1-0 1394 1327 35.8% 27.8% 36.4% +7.2 13
2018-05-21 Notodden L 1-2 1400 1258 62.6% 22.4% 15.1% -10.4 15
2018-05-21 @ Ullensaker Kisa W 2-1 1258 1400 15.1% 22.4% 62.6% +10.4 13
2018-05-21 Sogndal L 0-1 1300 1420 29.2% 27.5% 43.3% -6.1 10
2018-05-21 @ Nest-Sotra W 1-0 1420 1300 43.3% 27.5% 29.2% +6.1 13
2018-05-21 Tromsdalen W 2-1 1386 1292 57.3% 24.4% 18.3% +3.8 18
2018-05-21 @ Sandnes Ulf L 1-2 1292 1386 18.3% 24.4% 57.3% -3.8 6
2018-05-22 Aalesund L 0-2 1470 1486 43.4% 27.5% 29.1% -15.5 19
2018-05-22 @ Viking W 2-0 1486 1470 29.1% 27.5% 43.4% +15.5 23
2018-05-27 Asane D 0-0 1269 1330 37.2% 27.8% 35.0% -0.1 14
2018-05-27 @ Notodden D 0-0 1330 1269 35.0% 27.8% 37.2% +0.1 15
2018-05-27 Hamarkameratene L 1-2 1502 1207 76.9% 15.1% 8.0% -12.0 23
2018-05-27 @ Aalesund W 2-1 1207 1502 8.0% 15.1% 76.9% +12.0 13
2018-05-27 Levanger L 0-2 1247 1313 36.4% 27.8% 35.8% -13.6 5
2018-05-27 @ Floro W 2-0 1313 1247 35.8% 27.8% 36.4% +13.6 11
2018-05-27 Nest-Sotra W 3-1 1289 1294 45.0% 27.3% 27.7% +9.6 9
2018-05-27 @ Tromsdalen L 1-3 1294 1289 27.7% 27.3% 45.0% -9.6 10
2018-05-27 Sandnes Ulf W 1-0 1401 1390 47.1% 27.0% 25.9% +5.6 16
2018-05-27 @ Mjondalen L 0-1 1390 1401 25.9% 27.0% 47.1% -5.5 18
2018-05-27 Strommen W 5-1 1426 1319 58.8% 23.8% 17.3% +11.4 16
2018-05-27 @ Sogndal L 1-5 1319 1426 17.3% 23.8% 58.8% -11.4 7
2018-05-27 Viking W 3-2 1345 1454 30.7% 27.6% 41.7% +7.1 16
2018-05-27 @ Jerv L 2-3 1454 1345 41.7% 27.6% 30.7% -7.1 19
2018-05-29 Ullensaker Kisa W 2-1 1323 1389 36.5% 27.8% 35.7% +6.7 10
2018-05-29 @ Kongsvinger L 1-2 1389 1323 35.7% 27.8% 36.5% -6.7 15
2018-06-02 Kongsvinger L 0-3 1385 1330 52.7% 25.8% 21.5% -26.3 18
2018-06-02 @ Sandnes Ulf W 3-0 1330 1385 21.5% 25.8% 52.7% +26.3 13
2018-06-03 Aalesund W 1-0 1284 1490 20.4% 25.3% 54.2% +9.8 13
2018-06-03 @ Nest-Sotra L 0-1 1490 1284 54.2% 25.3% 20.4% -9.8 23
2018-06-03 Jerv W 2-0 1219 1352 27.7% 27.3% 45.0% +16.0 16
2018-06-03 @ Hamarkameratene L 0-2 1352 1219 45.0% 27.3% 27.7% -16.0 16
2018-06-03 Mjondalen L 0-2 1330 1406 35.0% 27.8% 37.2% -13.2 15
2018-06-03 @ Asane W 2-0 1406 1330 37.2% 27.8% 35.0% +13.2 19
2018-06-03 Notodden W 1-0 1308 1269 50.8% 26.2% 23.0% +5.0 10
2018-06-03 @ Strommen L 0-1 1269 1308 23.0% 26.2% 50.8% -5.0 14
2018-06-03 Sogndal L 1-2 1327 1438 30.4% 27.6% 42.0% -6.0 11
2018-06-03 @ Levanger W 2-1 1438 1327 42.0% 27.6% 30.4% +5.9 19
2018-06-03 Tromsdalen W 4-2 1382 1298 56.2% 24.7% 19.0% +6.1 18
2018-06-03 @ Ullensaker Kisa L 2-4 1298 1382 19.0% 24.7% 56.2% -6.1 9
2018-06-06 Jerv W 1-0 1292 1336 39.6% 27.8% 32.6% +6.7 12
2018-06-06 @ Tromsdalen L 0-1 1336 1292 32.6% 27.8% 39.6% -6.7 16
2018-06-09 Viking W 1-0 1444 1447 45.3% 27.2% 27.5% +5.8 22
2018-06-09 @ Sogndal L 0-1 1447 1444 27.5% 27.2% 45.3% -5.8 19
2018-06-10 Asane W 1-0 1299 1317 43.3% 27.5% 29.3% +6.1 15
2018-06-10 @ Tromsdalen L 0-1 1317 1299 29.3% 27.5% 43.3% -6.1 15
2018-06-10 Hamarkameratene W 2-1 1420 1235 67.0% 20.4% 12.6% +2.6 22
2018-06-10 @ Mjondalen L 1-2 1235 1420 12.6% 20.4% 67.0% -2.5 16
2018-06-10 Levanger W 2-1 1356 1321 50.2% 26.4% 23.4% +4.8 16
2018-06-10 @ Kongsvinger L 1-2 1321 1356 23.4% 26.4% 50.2% -4.8 11
2018-06-10 Nest-Sotra W 4-1 1330 1294 50.3% 26.3% 23.4% +11.7 19
2018-06-10 @ Jerv L 1-4 1294 1330 23.4% 26.3% 50.3% -11.7 13
2018-06-10 Sandnes Ulf W 1-0 1264 1358 32.5% 27.8% 39.7% +7.7 17
2018-06-10 @ Notodden L 0-1 1358 1264 39.7% 27.8% 32.5% -7.7 18
2018-06-10 Strommen W 2-1 1233 1313 34.5% 27.8% 37.7% +7.0 8
2018-06-10 @ Floro L 1-2 1313 1233 37.7% 27.8% 34.5% -7.0 10
2018-06-10 Ullensaker Kisa W 3-2 1480 1389 57.0% 24.5% 18.5% +3.7 26
2018-06-10 @ Aalesund L 2-3 1389 1480 18.5% 24.5% 57.0% -3.7 18
2018-06-16 Viking W 5-0 1282 1441 24.9% 26.7% 48.4% +39.6 16
2018-06-16 @ Nest-Sotra L 0-5 1441 1282 48.4% 26.7% 24.9% -39.6 19
2018-06-17 Aalesund L 1-2 1351 1483 27.7% 27.3% 45.0% -5.5 18
2018-06-17 @ Sandnes Ulf W 2-1 1483 1351 45.0% 27.3% 27.7% +5.5 29
2018-06-17 Jerv W 3-2 1240 1341 31.6% 27.7% 40.7% +7.0 11
2018-06-17 @ Floro L 2-3 1341 1240 40.7% 27.7% 31.6% -7.0 19
2018-06-17 Kongsvinger L 1-2 1271 1361 33.2% 27.8% 39.0% -6.3 17
2018-06-17 @ Notodden W 2-1 1361 1271 39.0% 27.8% 33.2% +6.4 19
2018-06-17 Mjondalen L 0-4 1316 1422 31.0% 27.7% 41.3% -22.9 11
2018-06-17 @ Levanger W 4-0 1422 1316 41.3% 27.7% 31.0% +22.9 25
2018-06-17 Sogndal L 1-3 1233 1449 19.5% 24.9% 55.6% -7.0 16
2018-06-17 @ Hamarkameratene W 3-1 1449 1233 55.6% 24.9% 19.5% +7.0 25
2018-06-17 Tromsdalen L 1-3 1306 1305 45.9% 27.2% 27.0% -14.0 10
2018-06-17 @ Strommen W 3-1 1305 1306 27.0% 27.2% 45.9% +14.0 18
2018-06-17 Ullensaker Kisa L 1-5 1311 1385 35.3% 27.8% 36.9% -21.0 15
2018-06-17 @ Asane W 5-1 1385 1311 36.9% 27.8% 35.3% +21.0 21
2018-06-20 Floro W 2-1 1401 1247 63.9% 21.8% 14.3% +2.9 22
2018-06-20 @ Viking L 1-2 1247 1401 14.3% 21.8% 63.9% -2.9 11
2018-06-24 Floro W 1-0 1319 1244 55.1% 25.1% 19.8% +4.4 21
2018-06-24 @ Tromsdalen L 0-1 1244 1319 19.8% 25.1% 55.1% -4.4 11
2018-06-24 Hamarkameratene W 2-0 1404 1226 66.4% 20.6% 12.9% +5.2 25
2018-06-24 @ Viking L 0-2 1226 1404 12.9% 20.6% 66.4% -5.2 16
2018-06-24 Jerv D 0-0 1456 1334 60.5% 23.2% 16.3% -2.1 26
2018-06-24 @ Sogndal D 0-0 1334 1456 16.3% 23.2% 60.5% +2.1 20
2018-06-24 Levanger D 3-3 1289 1293 45.2% 27.2% 27.6% -0.4 16
2018-06-24 @ Asane D 3-3 1293 1289 27.6% 27.2% 45.2% +0.4 12
2018-06-24 Notodden W 3-0 1489 1265 70.8% 18.4% 10.8% +6.1 32
2018-06-24 @ Aalesund L 0-3 1265 1489 10.8% 18.4% 70.8% -6.1 17
2018-06-24 Sandnes Ulf D 2-2 1406 1345 53.4% 25.6% 21.0% -1.0 22
2018-06-24 @ Ullensaker Kisa D 2-2 1345 1406 21.0% 25.6% 53.4% +1.0 19
2018-06-24 Strommen L 1-2 1367 1292 55.1% 25.1% 19.8% -9.4 19
2018-06-24 @ Kongsvinger W 2-1 1292 1367 19.8% 25.1% 55.1% +9.4 13
2018-06-26 Nest-Sotra D 3-3 1445 1322 60.6% 23.2% 16.2% -1.1 26
2018-06-26 @ Mjondalen D 3-3 1322 1445 16.2% 23.2% 60.6% +1.1 17
2018-07-01 Asane W 3-0 1346 1289 53.0% 25.7% 21.3% +12.8 22
2018-07-01 @ Sandnes Ulf L 0-3 1289 1346 21.3% 25.7% 53.0% -12.8 16
2018-07-01 Kongsvinger D 2-2 1323 1358 40.9% 27.7% 31.4% -0.3 18
2018-07-01 @ Nest-Sotra D 2-2 1358 1323 31.4% 27.7% 40.9% +0.3 20
2018-07-01 Sogndal L 1-2 1240 1454 19.6% 25.0% 55.3% -4.1 11
2018-07-01 @ Floro W 2-1 1454 1240 55.3% 25.0% 19.6% +4.1 29
2018-07-01 Tromsdalen D 0-0 1220 1323 31.4% 27.7% 40.9% +0.4 17
2018-07-01 @ Hamarkameratene D 0-0 1323 1220 40.9% 27.7% 31.4% -0.4 22
2018-07-01 Ullensaker Kisa L 2-3 1294 1405 30.4% 27.6% 42.0% -5.6 12
2018-07-01 @ Levanger W 3-2 1405 1294 42.0% 27.6% 30.4% +5.6 25
2018-07-01 Viking L 1-6 1301 1410 30.8% 27.6% 41.6% -23.2 13
2018-07-01 @ Strommen W 6-1 1410 1301 41.6% 27.6% 30.8% +23.2 28
2018-07-03 Mjondalen W 1-0 1259 1444 22.2% 26.0% 51.8% +9.5 20
2018-07-03 @ Notodden L 0-1 1444 1259 51.8% 26.0% 22.2% -9.5 26
2018-07-21 Floro W 5-1 1358 1236 60.5% 23.2% 16.3% +10.7 23
2018-07-21 @ Kongsvinger L 1-5 1236 1358 16.3% 23.2% 60.5% -10.7 11
2018-07-22 Hamarkameratene W 1-0 1458 1221 72.0% 17.8% 10.2% +2.1 32
2018-07-22 @ Sogndal L 0-1 1221 1458 10.2% 17.8% 72.0% -2.1 17
2018-07-22 Jerv W 4-1 1433 1336 57.6% 24.3% 18.1% +9.2 31
2018-07-22 @ Viking L 1-4 1336 1433 18.1% 24.3% 57.6% -9.2 20
2018-07-22 Levanger W 4-0 1434 1288 63.1% 22.1% 14.8% +11.5 29
2018-07-22 @ Mjondalen L 0-4 1288 1434 14.8% 22.1% 63.1% -11.5 12
2018-07-22 Nest-Sotra D 1-1 1411 1323 56.6% 24.6% 18.8% -1.6 26
2018-07-22 @ Ullensaker Kisa D 1-1 1323 1411 18.8% 24.6% 56.6% +1.6 19
2018-07-22 Notodden W 1-0 1276 1268 46.7% 27.0% 26.2% +5.6 19
2018-07-22 @ Asane L 0-1 1268 1276 26.2% 27.0% 46.7% -5.6 20
2018-07-22 Sandnes Ulf W 4-0 1495 1359 62.1% 22.6% 15.4% +12.0 35
2018-07-22 @ Aalesund L 0-4 1359 1495 15.4% 22.6% 62.1% -12.0 22
2018-07-22 Strommen W 3-2 1323 1278 51.4% 26.1% 22.5% +4.4 25
2018-07-22 @ Tromsdalen L 2-3 1278 1323 22.5% 26.1% 51.4% -4.4 13
2018-07-29 Aalesund D 1-1 1263 1507 17.4% 23.9% 58.8% +1.7 21
2018-07-29 @ Notodden D 1-1 1507 1263 58.8% 23.9% 17.4% -1.7 36
2018-07-29 Asane L 1-2 1277 1282 45.0% 27.3% 27.8% -8.0 12
2018-07-29 @ Levanger W 2-1 1282 1277 27.8% 27.3% 45.0% +8.0 22
2018-07-29 Kongsvinger L 2-6 1274 1369 32.5% 27.7% 39.8% -16.8 13
2018-07-29 @ Strommen W 6-2 1369 1274 39.8% 27.7% 32.5% +16.8 26
2018-07-29 Mjondalen L 1-2 1324 1446 29.1% 27.5% 43.5% -5.7 19
2018-07-29 @ Nest-Sotra W 2-1 1446 1324 43.5% 27.5% 29.1% +5.7 32
2018-07-29 Sogndal D 0-0 1327 1461 27.7% 27.3% 45.1% +0.8 21
2018-07-29 @ Jerv D 0-0 1461 1327 45.1% 27.3% 27.7% -0.8 33
2018-07-29 Tromsdalen W 1-0 1225 1327 31.5% 27.7% 40.8% +7.8 14
2018-07-29 @ Floro L 0-1 1327 1225 40.8% 27.7% 31.5% -7.8 25
2018-07-29 Ullensaker Kisa D 1-1 1347 1409 37.0% 27.8% 35.1% -0.1 23
2018-07-29 @ Sandnes Ulf D 1-1 1409 1347 35.1% 27.8% 37.0% +0.1 27
2018-07-31 Viking L 2-3 1219 1442 18.9% 24.7% 56.4% -3.7 17
2018-07-31 @ Hamarkameratene W 3-2 1442 1219 56.4% 24.7% 18.9% +3.7 34
2018-08-05 Asane W 1-0 1505 1290 70.0% 18.9% 11.1% +2.3 39
2018-08-05 @ Aalesund L 0-1 1290 1505 11.1% 18.9% 70.0% -2.3 22
2018-08-05 Floro D 1-1 1409 1233 66.2% 20.8% 13.1% -2.2 28
2018-08-05 @ Ullensaker Kisa D 1-1 1233 1409 13.1% 20.8% 66.2% +2.2 15
2018-08-05 Hamarkameratene L 2-3 1328 1215 59.5% 23.6% 16.9% -9.5 21
2018-08-05 @ Jerv W 3-2 1215 1328 16.9% 23.6% 59.5% +9.5 20
2018-08-05 Levanger W 5-1 1460 1269 67.7% 20.0% 12.3% +7.8 36
2018-08-05 @ Sogndal L 1-5 1269 1460 12.3% 20.0% 67.7% -7.8 12
2018-08-05 Nest-Sotra L 2-3 1446 1319 61.1% 23.0% 16.0% -9.7 34
2018-08-05 @ Viking W 3-2 1319 1446 16.0% 23.0% 61.1% +9.7 22
2018-08-05 Notodden W 4-2 1319 1264 52.7% 25.8% 21.5% +6.9 28
2018-08-05 @ Tromsdalen L 2-4 1264 1319 21.5% 25.8% 52.7% -6.9 21
2018-08-05 Strommen W 1-0 1452 1257 68.0% 19.9% 12.1% +2.6 35
2018-08-05 @ Mjondalen L 0-1 1257 1452 12.1% 19.9% 68.0% -2.6 13
2018-08-07 Sandnes Ulf W 6-0 1385 1347 50.7% 26.2% 23.0% +26.3 29
2018-08-07 @ Kongsvinger L 0-6 1347 1385 23.0% 26.2% 50.7% -26.2 23
2018-08-12 Aalesund L 1-4 1235 1508 15.5% 22.7% 61.9% -7.8 15
2018-08-12 @ Floro W 4-1 1508 1235 61.9% 22.7% 15.5% +7.8 42
2018-08-12 Jerv D 2-2 1328 1319 47.0% 27.0% 26.1% -0.6 23
2018-08-12 @ Nest-Sotra D 2-2 1319 1328 26.1% 27.0% 47.0% +0.6 22
2018-08-12 Kongsvinger W 3-1 1224 1412 22.0% 25.9% 52.0% +15.5 23
2018-08-12 @ Hamarkameratene L 1-3 1412 1224 52.0% 25.9% 22.0% -15.5 29
2018-08-12 Mjondalen L 0-2 1320 1454 27.6% 27.3% 45.1% -11.0 23
2018-08-12 @ Sandnes Ulf W 2-0 1454 1320 45.1% 27.3% 27.6% +11.0 38
2018-08-12 Tromsdalen L 1-2 1261 1326 36.6% 27.8% 35.6% -6.8 12
2018-08-12 @ Levanger W 2-1 1326 1261 35.6% 27.8% 36.6% +6.8 31
2018-08-12 Ullensaker Kisa W 5-3 1258 1407 25.9% 26.9% 47.2% +12.1 24
2018-08-12 @ Notodden L 3-5 1407 1258 47.2% 26.9% 25.9% -12.1 28
2018-08-12 Viking L 1-2 1288 1436 25.9% 27.0% 47.1% -5.2 22
2018-08-12 @ Asane W 2-1 1436 1288 47.1% 27.0% 25.9% +5.2 37
2018-08-14 Sogndal W 1-0 1255 1468 19.8% 25.1% 55.2% +10.0 16
2018-08-14 @ Strommen L 0-1 1468 1255 55.2% 25.1% 19.8% -10.0 36
2018-08-19 Aalesund D 2-2 1333 1516 22.5% 26.1% 51.4% +0.9 32
2018-08-19 @ Tromsdalen D 2-2 1516 1333 51.4% 26.1% 22.5% -0.9 43
2018-08-19 Floro L 2-3 1458 1227 71.4% 18.1% 10.5% -10.9 36
2018-08-19 @ Sogndal W 3-2 1227 1458 10.5% 18.1% 71.4% +10.9 18
2018-08-19 Hamarkameratene W 1-0 1328 1240 56.6% 24.6% 18.8% +4.1 26
2018-08-19 @ Nest-Sotra L 0-1 1240 1328 18.8% 24.6% 56.6% -4.1 23
2018-08-19 Levanger W 3-2 1395 1254 62.5% 22.4% 15.1% +3.0 31
2018-08-19 @ Ullensaker Kisa L 2-3 1254 1395 15.1% 22.4% 62.5% -3.0 12
2018-08-19 Notodden W 2-0 1396 1270 61.0% 23.0% 16.0% +6.6 32
2018-08-19 @ Kongsvinger L 0-2 1270 1396 16.0% 23.0% 61.0% -6.6 24
2018-08-19 Sandnes Ulf D 1-1 1319 1309 47.0% 27.0% 26.1% -0.8 23
2018-08-19 @ Jerv D 1-1 1309 1319 26.1% 27.0% 47.0% +0.8 24
2018-08-19 Strommen W 2-0 1441 1264 66.2% 20.7% 13.0% +5.3 40
2018-08-19 @ Viking L 0-2 1264 1441 13.0% 20.7% 66.2% -5.3 16
2018-08-21 Asane D 1-1 1465 1282 66.9% 20.4% 12.7% -2.3 39
2018-08-21 @ Mjondalen D 1-1 1282 1465 12.7% 20.4% 66.9% +2.3 23
2018-08-25 Viking W 3-0 1310 1447 27.3% 27.2% 45.5% +23.4 27
2018-08-25 @ Sandnes Ulf L 0-3 1447 1310 45.5% 27.2% 27.3% -23.4 40
2018-08-26 Hamarkameratene L 0-1 1238 1236 46.0% 27.1% 26.9% -8.6 18
2018-08-26 @ Floro W 1-0 1236 1238 26.9% 27.1% 46.0% +8.6 26
2018-08-26 Jerv L 0-1 1263 1318 38.0% 27.8% 34.2% -7.5 24
2018-08-26 @ Notodden W 1-0 1318 1263 34.2% 27.8% 38.0% +7.5 26
2018-08-26 Kongsvinger D 1-1 1251 1403 25.6% 26.9% 47.5% +0.9 13
2018-08-26 @ Levanger D 1-1 1403 1251 47.5% 26.9% 25.6% -0.9 33
2018-08-26 Nest-Sotra L 0-1 1515 1332 66.8% 20.4% 12.7% -11.6 43
2018-08-26 @ Aalesund W 1-0 1332 1515 12.7% 20.4% 66.8% +11.6 29
2018-08-26 Tromsdalen W 3-1 1285 1334 38.9% 27.8% 33.4% +11.0 26
2018-08-26 @ Asane L 1-3 1334 1285 33.4% 27.8% 38.9% -11.0 32
2018-08-26 Ullensaker Kisa W 3-2 1259 1398 27.1% 27.2% 45.8% +7.7 19
2018-08-26 @ Strommen L 2-3 1398 1259 45.8% 27.2% 27.1% -7.7 31
2018-08-28 Mjondalen L 3-4 1447 1463 43.5% 27.5% 29.1% -7.2 36
2018-08-28 @ Sogndal W 4-3 1463 1447 29.1% 27.5% 43.5% +7.2 42
2018-08-29 Aalesund L 0-3 1326 1503 23.0% 26.2% 50.8% -13.7 26
2018-08-29 @ Jerv W 3-0 1503 1326 50.8% 26.2% 23.0% +13.7 46
2018-09-02 Aalesund W 3-0 1390 1517 28.4% 27.4% 44.2% +22.9 34
2018-09-02 @ Ullensaker Kisa L 0-3 1517 1390 44.2% 27.4% 28.4% -22.9 46
2018-09-02 Asane W 2-1 1245 1296 38.6% 27.8% 33.6% +6.4 29
2018-09-02 @ Hamarkameratene L 1-2 1296 1245 33.6% 27.8% 38.6% -6.4 26
2018-09-02 Floro W 1-0 1312 1230 56.0% 24.8% 19.2% +4.2 29
2018-09-02 @ Jerv L 0-1 1230 1312 19.2% 24.8% 56.0% -4.2 18
2018-09-02 Levanger W 3-0 1423 1252 65.7% 21.0% 13.3% +7.9 43
2018-09-02 @ Viking L 0-3 1252 1423 13.3% 21.0% 65.7% -7.9 13
2018-09-02 Notodden D 1-1 1470 1256 69.9% 18.9% 11.2% -2.5 43
2018-09-02 @ Mjondalen D 1-1 1256 1470 11.2% 18.9% 69.9% +2.5 25
2018-09-02 Sandnes Ulf D 2-2 1323 1334 44.2% 27.4% 28.4% -0.5 33
2018-09-02 @ Tromsdalen D 2-2 1334 1323 28.4% 27.4% 44.2% +0.5 28
2018-09-02 Sogndal L 1-3 1402 1440 40.5% 27.7% 31.8% -12.8 33
2018-09-02 @ Kongsvinger W 3-1 1440 1402 31.8% 27.7% 40.5% +12.8 39
2018-09-02 Strommen L 0-2 1343 1267 55.3% 25.0% 19.7% -18.9 29
2018-09-02 @ Nest-Sotra W 2-0 1267 1343 19.7% 25.0% 55.3% +18.9 22
2018-09-16 Hamarkameratene W 3-2 1286 1251 50.2% 26.4% 23.4% +4.5 25
2018-09-16 @ Strommen L 2-3 1251 1286 23.4% 26.4% 50.2% -4.6 29
2018-09-16 Jerv W 2-0 1289 1316 42.0% 27.6% 30.4% +11.9 29
2018-09-16 @ Asane L 0-2 1316 1289 30.4% 27.6% 42.0% -11.9 29
2018-09-16 Kongsvinger W 2-1 1494 1389 58.6% 23.9% 17.5% +3.6 49
2018-09-16 @ Aalesund L 1-2 1389 1494 17.5% 23.9% 58.6% -3.6 33
2018-09-16 Mjondalen L 0-2 1322 1468 26.3% 27.0% 46.7% -10.6 33
2018-09-16 @ Tromsdalen W 2-0 1468 1322 46.7% 27.0% 26.3% +10.6 46
2018-09-16 Nest-Sotra L 0-1 1244 1325 34.4% 27.8% 37.7% -6.9 13
2018-09-16 @ Levanger W 1-0 1325 1244 37.7% 27.8% 34.4% +6.9 32
2018-09-16 Sandnes Ulf L 1-3 1225 1334 30.7% 27.6% 41.7% -10.4 18
2018-09-16 @ Floro W 3-1 1334 1225 41.7% 27.6% 30.7% +10.4 31
2018-09-16 Ullensaker Kisa L 1-2 1452 1413 50.8% 26.2% 23.0% -8.8 39
2018-09-16 @ Sogndal W 2-1 1413 1452 23.0% 26.2% 50.8% +8.8 37
2018-09-18 Viking L 1-2 1258 1431 23.4% 26.4% 50.3% -4.8 25
2018-09-18 @ Notodden W 2-1 1431 1258 50.3% 26.4% 23.4% +4.8 46
2018-09-23 Asane D 1-1 1422 1301 60.3% 23.3% 16.4% -1.8 38
2018-09-23 @ Ullensaker Kisa D 1-1 1301 1422 16.4% 23.3% 60.3% +1.8 30
2018-09-23 Floro L 0-1 1331 1215 59.9% 23.4% 16.7% -10.7 32
2018-09-23 @ Nest-Sotra W 1-0 1215 1331 16.7% 23.4% 59.9% +10.7 21
2018-09-23 Levanger D 2-2 1246 1237 46.9% 27.0% 26.1% -0.6 30
2018-09-23 @ Hamarkameratene D 2-2 1237 1246 26.1% 27.0% 46.9% +0.6 14
2018-09-23 Notodden D 1-1 1344 1253 57.0% 24.5% 18.5% -1.6 32
2018-09-23 @ Sandnes Ulf D 1-1 1253 1344 18.5% 24.5% 57.0% +1.6 26
2018-09-23 Sogndal W 2-0 1436 1444 44.7% 27.3% 28.0% +11.1 49
2018-09-23 @ Viking L 0-2 1444 1436 28.0% 27.3% 44.7% -11.1 39
2018-09-23 Strommen W 1-0 1304 1290 47.5% 26.9% 25.6% +5.5 32
2018-09-23 @ Jerv L 0-1 1290 1304 25.6% 26.9% 47.5% -5.5 25
2018-09-23 Tromsdalen D 1-1 1386 1312 55.0% 25.1% 19.9% -1.4 34
2018-09-23 @ Kongsvinger D 1-1 1312 1386 19.9% 25.1% 55.0% +1.4 34
2018-09-25 Aalesund W 2-0 1478 1498 43.1% 27.5% 29.4% +11.6 49
2018-09-25 @ Mjondalen L 0-2 1498 1478 29.4% 27.5% 43.1% -11.6 49
2018-09-30 Hamarkameratene L 0-1 1255 1246 46.9% 27.0% 26.1% -8.8 26
2018-09-30 @ Notodden W 1-0 1246 1255 26.1% 27.0% 46.9% +8.7 33
2018-09-30 Jerv D 1-1 1486 1310 66.2% 20.8% 13.1% -2.2 50
2018-09-30 @ Aalesund D 1-1 1310 1486 13.1% 20.8% 66.2% +2.2 33
2018-09-30 Nest-Sotra W 1-0 1432 1321 59.3% 23.6% 17.0% +3.7 42
2018-09-30 @ Sogndal L 0-1 1321 1432 17.0% 23.6% 59.3% -3.8 32
2018-09-30 Sandnes Ulf L 0-2 1303 1343 40.2% 27.7% 32.1% -14.6 30
2018-09-30 @ Asane W 2-0 1343 1303 32.1% 27.7% 40.2% +14.6 35
2018-09-30 Strommen L 1-4 1238 1285 39.2% 27.8% 33.0% -17.6 14
2018-09-30 @ Levanger W 4-1 1285 1238 33.0% 27.8% 39.2% +17.6 28
2018-09-30 Ullensaker Kisa W 3-0 1313 1420 31.0% 27.6% 41.4% +21.7 37
2018-09-30 @ Tromsdalen L 0-3 1420 1313 41.4% 27.6% 31.0% -21.7 38
2018-09-30 Viking W 3-2 1226 1447 19.1% 24.8% 56.1% +9.1 24
2018-09-30 @ Floro L 2-3 1447 1226 56.1% 24.8% 19.1% -9.0 49
2018-10-02 Kongsvinger W 2-0 1490 1384 58.7% 23.9% 17.4% +7.2 52
2018-10-02 @ Mjondalen L 0-2 1384 1490 17.4% 23.9% 58.7% -7.2 34
2018-10-07 Aalesund L 1-3 1254 1484 18.5% 24.5% 57.0% -6.7 33
2018-10-07 @ Hamarkameratene W 3-1 1484 1254 57.0% 24.5% 18.5% +6.7 53
2018-10-07 Asane W 7-2 1377 1288 56.7% 24.6% 18.7% +12.6 37
2018-10-07 @ Kongsvinger L 2-7 1288 1377 18.7% 24.6% 56.7% -12.6 30
2018-10-07 Floro W 2-0 1302 1235 54.3% 25.3% 20.4% +8.4 31
2018-10-07 @ Strommen L 0-2 1235 1302 20.4% 25.3% 54.3% -8.5 24
2018-10-07 Levanger D 0-0 1312 1220 57.1% 24.4% 18.4% -1.8 34
2018-10-07 @ Jerv D 0-0 1220 1312 18.4% 24.4% 57.1% +1.8 15
2018-10-07 Mjondalen D 2-2 1398 1497 31.9% 27.7% 40.4% +0.2 39
2018-10-07 @ Ullensaker Kisa D 2-2 1497 1398 40.4% 27.7% 31.9% -0.2 53
2018-10-07 Notodden W 1-0 1317 1246 54.7% 25.2% 20.1% +4.4 35
2018-10-07 @ Nest-Sotra L 0-1 1246 1317 20.1% 25.2% 54.7% -4.4 26
2018-10-07 Sogndal W 1-0 1357 1436 34.7% 27.8% 37.5% +7.4 38
2018-10-07 @ Sandnes Ulf L 0-1 1436 1357 37.5% 27.8% 34.7% -7.4 42
2018-10-07 Tromsdalen L 2-4 1438 1335 58.4% 24.0% 17.6% -15.3 49
2018-10-07 @ Viking W 4-2 1335 1438 17.6% 24.0% 58.4% +15.2 40
2018-10-21 Floro L 0-1 1222 1226 45.1% 27.3% 27.6% -8.5 15
2018-10-21 @ Levanger W 1-0 1226 1222 27.6% 27.3% 45.1% +8.5 27
2018-10-21 Hamarkameratene L 0-2 1350 1248 58.3% 24.0% 17.6% -19.7 40
2018-10-21 @ Tromsdalen W 2-0 1248 1350 17.6% 24.0% 58.3% +19.7 36
2018-10-21 Jerv D 1-1 1497 1310 67.2% 20.2% 12.5% -2.3 54
2018-10-21 @ Mjondalen D 1-1 1310 1497 12.5% 20.2% 67.2% +2.3 35
2018-10-21 Kongsvinger D 1-1 1398 1389 46.9% 27.0% 26.2% -0.8 40
2018-10-21 @ Ullensaker Kisa D 1-1 1389 1398 26.2% 27.0% 46.9% +0.8 38
2018-10-21 Nest-Sotra D 1-1 1365 1322 51.3% 26.1% 22.6% -1.1 39
2018-10-21 @ Sandnes Ulf D 1-1 1322 1365 22.6% 26.1% 51.3% +1.2 36
2018-10-21 Sogndal L 1-2 1276 1429 25.4% 26.9% 47.7% -5.2 30
2018-10-21 @ Asane W 2-1 1429 1276 47.7% 26.9% 25.4% +5.2 45
2018-10-21 Strommen D 1-1 1242 1311 36.0% 27.8% 36.1% +0.0 27
2018-10-21 @ Notodden D 1-1 1311 1242 36.1% 27.8% 36.0% +0.0 32
2018-10-23 Viking L 1-3 1490 1423 54.3% 25.3% 20.4% -16.1 53
2018-10-23 @ Aalesund W 3-1 1423 1490 20.4% 25.3% 54.3% +16.1 52
2018-10-28 Aalesund W 2-0 1434 1474 40.2% 27.7% 32.1% +12.4 48
2018-10-28 @ Sogndal L 0-2 1474 1434 32.1% 27.7% 40.2% -12.4 53
2018-10-28 Asane L 1-2 1235 1271 40.8% 27.7% 31.5% -7.4 27
2018-10-28 @ Floro W 2-1 1271 1235 31.5% 27.7% 40.8% +7.4 33
2018-10-28 Kongsvinger L 1-2 1313 1390 34.8% 27.8% 37.3% -6.6 35
2018-10-28 @ Jerv W 2-1 1390 1313 37.3% 27.8% 34.8% +6.6 41
2018-10-28 Notodden L 0-3 1213 1242 41.8% 27.6% 30.6% -21.9 15
2018-10-28 @ Levanger W 3-0 1242 1213 30.6% 27.6% 41.8% +21.9 30
2018-10-28 Sandnes Ulf W 2-1 1311 1364 38.4% 27.8% 33.8% +6.4 35
2018-10-28 @ Strommen L 1-2 1364 1311 33.8% 27.8% 38.4% -6.4 39
2018-10-28 Tromsdalen W 2-0 1323 1331 44.6% 27.3% 28.1% +11.2 39
2018-10-28 @ Nest-Sotra L 0-2 1331 1323 28.1% 27.3% 44.6% -11.2 40
2018-10-28 Ullensaker Kisa W 1-0 1439 1397 51.0% 26.2% 22.8% +5.0 55
2018-10-28 @ Viking L 0-1 1397 1439 22.8% 26.2% 51.0% -5.0 40
2018-10-30 Mjondalen L 1-3 1268 1495 18.6% 24.6% 56.8% -6.7 36
2018-10-30 @ Hamarkameratene W 3-1 1495 1268 56.8% 24.6% 18.6% +6.7 57
2018-11-04 Floro W 2-1 1264 1227 50.4% 26.3% 23.3% +4.8 33
2018-11-04 @ Notodden L 1-2 1227 1264 23.3% 26.3% 50.4% -4.8 27
2018-11-04 Hamarkameratene L 1-3 1357 1261 57.6% 24.3% 18.1% -16.9 39
2018-11-04 @ Sandnes Ulf W 3-1 1261 1357 18.1% 24.3% 57.6% +16.9 39
2018-11-04 Jerv W 4-1 1392 1306 56.5% 24.6% 18.9% +9.6 43
2018-11-04 @ Ullensaker Kisa L 1-4 1306 1392 18.9% 24.6% 56.5% -9.6 35
2018-11-04 Levanger W 4-0 1462 1192 74.9% 16.2% 8.9% +6.4 56
2018-11-04 @ Aalesund L 0-4 1192 1462 8.9% 16.2% 74.9% -6.4 15
2018-11-04 Nest-Sotra D 2-2 1397 1334 53.7% 25.5% 20.8% -1.0 42
2018-11-04 @ Kongsvinger D 2-2 1334 1397 20.8% 25.5% 53.7% +1.0 40
2018-11-04 Sogndal L 0-3 1319 1446 28.4% 27.4% 44.2% -16.4 40
2018-11-04 @ Tromsdalen W 3-0 1446 1319 44.2% 27.4% 28.4% +16.4 51
2018-11-04 Strommen L 0-5 1278 1317 40.3% 27.7% 32.0% -34.3 33
2018-11-04 @ Asane W 5-0 1317 1278 32.0% 27.7% 40.3% +34.3 38
2018-11-04 Viking L 2-4 1501 1444 53.0% 25.7% 21.3% -14.1 57
2018-11-04 @ Mjondalen W 4-2 1444 1501 21.3% 25.7% 53.0% +14.1 58
2018-11-11 Aalesund L 0-1 1352 1468 29.7% 27.5% 42.8% -6.2 38
2018-11-11 @ Strommen W 1-0 1468 1352 42.8% 27.5% 29.7% +6.2 59
2018-11-11 Asane W 1-0 1335 1244 57.0% 24.5% 18.5% +4.1 43
2018-11-11 @ Nest-Sotra L 0-1 1244 1335 18.5% 24.5% 57.0% -4.1 33
2018-11-11 Kongsvinger W 3-1 1458 1396 53.6% 25.5% 20.9% +7.5 61
2018-11-11 @ Viking L 1-3 1396 1458 20.9% 25.5% 53.6% -7.5 42
2018-11-11 Mjondalen L 0-2 1223 1487 16.0% 23.0% 61.0% -6.6 27
2018-11-11 @ Floro W 2-0 1487 1223 61.0% 23.0% 16.0% +6.6 60
2018-11-11 Notodden L 0-1 1463 1268 68.0% 19.9% 12.1% -11.8 51
2018-11-11 @ Sogndal W 1-0 1268 1463 12.1% 19.9% 68.0% +11.8 36
2018-11-11 Sandnes Ulf L 3-4 1185 1340 25.2% 26.8% 48.0% -4.7 15
2018-11-11 @ Levanger W 4-3 1340 1185 48.0% 26.8% 25.2% +4.7 42
2018-11-11 Tromsdalen L 0-1 1296 1303 44.8% 27.3% 27.9% -8.4 35
2018-11-11 @ Jerv W 1-0 1303 1296 27.9% 27.3% 44.8% +8.4 43
2018-11-11 Ullensaker Kisa W 3-1 1278 1402 28.7% 27.4% 43.9% +13.5 42
2018-11-11 @ Hamarkameratene L 1-3 1402 1278 43.9% 27.4% 28.7% -13.5 43

Playoff Game Log

Every playoff game for the team selected at the top of the tab (empty if they didn't reach the postseason). Sort any column by clicking its header. @ before an opponent name indicates an away game; the record column shows the team's running playoff record.

Date Opponent Score Pre Elo Opp Elo Win % Tie % Loss % Elo Δ Record
2018-11-25 Nest-Sotra W 1-0 1474 1339 62.0% 22.6% 15.4% +3.4 1-0
2018-11-25 @ Aalesund L 0-1 1339 1474 15.4% 22.6% 62.0% -3.4 0-1
2018-11-25 Ullensaker Kisa W 1-0 1451 1389 53.6% 25.5% 20.9% +4.6 1-0
2018-11-25 @ Sogndal L 0-1 1389 1451 20.9% 25.5% 53.6% -4.6 0-1
2018-11-29 Sogndal W 3-1 1478 1456 48.6% 26.7% 24.7% +8.7 2-0
2018-11-29 @ Aalesund L 1-3 1456 1478 24.7% 26.7% 48.6% -8.7 1-1
2018-12-05 Aalesund W 1-0 1500 1486 47.5% 26.9% 25.6% +5.5 1-0
2018-12-05 @ Stabaek L 0-1 1486 1500 25.6% 26.9% 47.5% -5.5 2-1
2018-12-09 Stabaek D 1-1 1481 1506 42.3% 27.6% 30.1% -0.5 2-1-1
2018-12-09 @ Aalesund D 1-1 1506 1481 30.1% 27.6% 42.3% +0.5 1-0-1

Biggest Upsets

The 25 games where the underdog won despite the lowest pregame win probability. Underdog Win % is the winner's pregame chance of winning the game (lower = bigger upset). @ before a team name indicates the away side. An asterisk (*) after the date marks a playoff game.

# Date Underdog Win % Winning Team Losing Team
Team Elo Score Team Elo Score
1 2018-05-27 8.04% Hamarkameratene 1207 2 @ Aalesund 1502 1
2 2018-08-19 10.49% Floro 1227 3 @ Sogndal 1458 2
3 2018-11-11 12.14% Notodden 1268 1 @ Sogndal 1463 0
4 2018-08-26 12.72% Nest-Sotra 1332 1 @ Aalesund 1515 0
5 2018-05-16 14.41% Asane 1294 4 @ Sogndal 1446 1
6 2018-05-21 15.06% Notodden 1258 2 @ Ullensaker Kisa 1400 1
7 2018-08-05 15.95% Nest-Sotra 1319 3 @ Viking 1446 2
8 2018-09-23 16.66% Floro 1215 1 @ Nest-Sotra 1331 0
9 2018-08-05 16.90% Hamarkameratene 1215 3 @ Jerv 1328 2
10 2018-10-07 17.62% Tromsdalen 1335 4 @ Viking 1438 2
11 2018-10-21 17.65% Hamarkameratene 1248 2 @ Tromsdalen 1350 0
12 2018-11-04 18.10% Hamarkameratene 1261 3 @ Sandnes Ulf 1357 1
13 2018-04-29 18.40% Nest-Sotra 1258 2 @ Strommen 1351 1
14 2018-09-30 19.10% @ Floro 1226 3 Viking 1447 2
15 2018-09-02 19.66% Strommen 1267 2 @ Nest-Sotra 1343 0
16 2018-08-14 19.76% @ Strommen 1255 1 Sogndal 1468 0
17 2018-06-24 19.78% Strommen 1292 2 @ Kongsvinger 1367 1
18 2018-04-22 20.22% Notodden 1261 4 @ Floro 1331 1
19 2018-06-03 20.41% @ Nest-Sotra 1284 1 Aalesund 1490 0
20 2018-10-23 20.41% Viking 1423 3 @ Aalesund 1490 1
21 2018-11-04 21.29% Viking 1444 4 @ Mjondalen 1501 2
22 2018-06-02 21.52% Kongsvinger 1330 3 @ Sandnes Ulf 1385 0
23 2018-04-10 21.71% Mjondalen 1392 2 @ Viking 1445 0
24 2018-08-12 22.04% @ Hamarkameratene 1224 3 Kongsvinger 1412 1
25 2018-07-03 22.23% @ Notodden 1259 1 Mjondalen 1444 0

Biggest Elo Changes

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

# Date Elo Δ Winning Team Losing Team Tie %
Team Score Elo Win % Team Score Elo Win %
1 2018-06-16 39.58 @ Nest-Sotra 5 1282 24.86% Viking 0 1441 48.42% 26.72%
2 2018-11-04 34.28 Strommen 5 1317 32.00% @ Asane 0 1278 40.29% 27.71%
3 2018-06-02 26.34 Kongsvinger 3 1330 21.52% @ Sandnes Ulf 0 1385 52.72% 25.76%
4 2018-08-07 26.26 @ Kongsvinger 6 1385 50.71% Sandnes Ulf 0 1347 23.04% 26.24%
5 2018-05-16 25.85 Asane 4 1294 14.41% @ Sogndal 1 1446 63.71% 21.88%
6 2018-08-25 23.38 @ Sandnes Ulf 3 1310 27.31% Viking 0 1447 45.49% 27.20%
7 2018-07-01 23.23 Viking 6 1410 41.63% @ Strommen 1 1301 30.75% 27.62%
8 2018-06-17 22.92 Mjondalen 4 1422 41.32% @ Levanger 0 1316 31.04% 27.65%
9 2018-09-02 22.86 @ Ullensaker Kisa 3 1390 28.44% Aalesund 0 1517 44.20% 27.37%
10 2018-04-22 22.82 Notodden 4 1261 20.22% @ Floro 1 1331 54.52% 25.26%
11 2018-10-28 21.91 Notodden 3 1242 30.55% @ Levanger 0 1213 41.84% 27.60%
12 2018-09-30 21.73 @ Tromsdalen 3 1313 30.96% Ullensaker Kisa 0 1420 41.40% 27.64%
13 2018-06-17 21.03 Ullensaker Kisa 5 1385 36.86% @ Asane 1 1311 35.30% 27.84%
14 2018-05-21 20.25 @ Hamarkameratene 3 1187 34.51% Floro 0 1267 37.67% 27.82%
15 2018-10-21 19.68 Hamarkameratene 2 1248 17.65% @ Tromsdalen 0 1350 58.32% 24.03%
16 2018-04-22 19.15 Ullensaker Kisa 3 1355 37.30% @ Nest-Sotra 0 1277 34.87% 27.83%
17 2018-09-02 18.86 Strommen 2 1267 19.66% @ Nest-Sotra 0 1343 55.32% 25.02%
18 2018-04-10 18.07 Mjondalen 2 1392 21.71% @ Viking 0 1445 52.47% 25.82%
19 2018-09-30 17.59 Strommen 4 1285 33.03% @ Levanger 1 1238 39.20% 27.77%
20 2018-05-16 17.21 Ullensaker Kisa 2 1382 24.06% @ Mjondalen 0 1411 49.42% 26.52%
21 2018-11-04 16.89 Hamarkameratene 3 1261 18.10% @ Sandnes Ulf 1 1357 57.64% 24.27%
22 2018-07-29 16.78 Kongsvinger 6 1369 39.76% @ Strommen 2 1274 32.49% 27.74%
23 2018-11-04 16.38 Sogndal 3 1446 44.20% @ Tromsdalen 0 1319 28.43% 27.37%
24 2018-04-22 16.16 @ Strommen 3 1334 44.75% Levanger 0 1341 27.96% 27.30%
25 2018-05-06 16.14 @ Nest-Sotra 4 1268 37.32% Levanger 1 1328 34.85% 27.83%