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2016 First Division Season

240 games · 5 promotion-playoff teams

Final

Promoted

Stabaek

via playoff

Relegated

No relegation

Biggest Overachiever

Kristiansund

14.27 points above expected

62 points · 47.73 expected points

Biggest Disappointment

KFUM Oslo

17.16 points below expected

26 points · 43.16 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 Kristiansund 30 19 5 6 62 47 30 +17 47.73 +14.27
2 Sandefjord 30 18 5 7 59 54 35 +19 48.25 +10.75
3 Jerv 30 15 8 7 53 47 34 +13 48.47 +4.53
4 Sandnes Ulf 30 15 6 9 51 55 28 +27 46.48 +4.52
5 Kongsvinger 30 14 7 9 49 56 42 +14 43.08 +5.92
6 Mjondalen 30 13 10 7 49 49 38 +11 41.52 +7.48
7 Strommen 30 13 8 9 47 46 45 +1 38.05 +8.95
8 Levanger 30 13 6 11 45 52 46 +6 43.11 +1.89
9 Ranheim 30 11 6 13 39 45 48 -3 41.68 -2.68
10 Asane 30 10 8 12 38 36 37 -1 42.60 -4.60
11 Fredrikstad 30 8 9 13 33 34 48 -14 32.55 +0.45
12 Ullensaker Kisa 30 8 8 14 32 47 50 -3 34.45 -2.45
13 Bryne 30 7 9 14 30 33 48 -15 32.60 -2.60
14 Hodd 30 8 6 16 30 31 57 -26 36.46 -6.46
15 KFUM Oslo 30 6 8 16 26 31 48 -17 43.16 -17.16
16 Raufoss 30 6 3 21 21 33 62 -29 36.52 -15.52

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

Jerv 2
Mjondalen 1
Kongsvinger 2
Sandnes Ulf 0

Sim: 1.0%

Semifinals

Jerv 2
Kongsvinger 1

Sim: 3.0%

Finals

Stabaek 2
Jerv 1

Leg 1: Jerv 1-0 Stabaek

Leg 2: Stabaek 2-0 Jerv

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
Jerv 1490 53 48.47 +4.53 76.1% 22 37 44 48 53 60 73
Sandnes Ulf 1486 51 46.48 +4.52 75.7% 22 35 42 46 51 58 75
Sandefjord 1481 59 48.25 +10.75 94.7% 23 37 44 48 53 60 73
Kristiansund 1479 62 47.73 +14.27 98.2% 22 36 43 48 52 59 73
Kongsvinger 1461 49 43.08 +5.92 82.4% 21 32 38 43 48 55 70
Mjondalen 1454 49 41.52 +7.48 87.4% 13 30 37 42 46 53 66
Ranheim 1410 39 41.68 -2.68 37.9% 19 30 37 42 46 53 69
Levanger 1406 45 43.11 +1.89 63.0% 13 31 38 43 48 55 70
Strommen 1393 47 38.05 +8.95 91.3% 14 27 33 38 43 50 64
Asane 1375 38 42.60 -4.60 28.0% 18 31 38 43 47 54 73
Ullensaker Kisa 1356 32 34.45 -2.45 39.4% 9 23 30 34 39 46 61
KFUM Oslo 1337 26 43.16 -17.16 0.6% 20 32 38 43 48 55 70
Bryne 1325 30 32.60 -2.60 38.4% 10 22 28 32 37 44 61
Fredrikstad 1304 33 32.55 +0.45 56.5% 11 22 28 32 37 44 60
Hodd 1293 30 36.46 -6.46 19.3% 13 25 32 36 41 48 67
Raufoss 1277 21 36.52 -15.52 1.1% 14 26 32 36 41 48 63

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 ASA BRY FRE HOD JER KO KON KRI LEV MJO RAN RAU SAN SU STR UK
Asane —
0-1-1
3.29
1-0-1
3.40
0-1-1
3.19
0-1-1
2.26
1-1-0
2.59
1-0-1
2.94
1-0-1
2.33
0-1-1
2.84
0-0-2
3.11
0-1-1
2.62
2-0-0
3.21
0-1-1
2.40
2-0-0
2.16
1-1-0
2.87
1-0-1
3.35
Bryne
1-1-0
2.18
 —
1-0-1
2.94
0-2-0
2.60
1-0-1
1.96
0-0-2
2.12
0-1-1
1.91
0-1-1
1.76
1-0-1
1.94
1-0-1
2.20
0-1-1
2.13
1-0-1
2.44
0-0-2
1.70
1-1-0
1.87
0-1-1
2.35
0-1-1
2.58
Fredrikstad
1-0-1
2.09
1-0-1
2.51
 —
1-1-0
2.44
1-0-1
1.73
0-2-0
2.02
1-1-0
1.82
0-1-1
1.94
0-0-2
2.14
0-0-2
2.29
0-1-1
2.32
0-1-1
2.30
0-0-2
1.96
0-1-1
1.99
1-1-0
2.46
2-0-0
2.46
Hodd
1-1-0
2.28
0-2-0
2.86
0-1-1
3.02
 —
0-0-2
1.90
0-1-1
2.28
0-1-1
2.63
1-0-1
1.98
1-0-1
2.29
1-0-1
2.39
1-0-1
2.37
1-0-1
2.84
0-0-2
2.07
1-0-1
1.90
0-0-2
2.70
1-0-1
2.90
Jerv
1-1-0
3.23
1-0-1
3.56
1-0-1
3.77
2-0-0
3.58
 —
1-1-0
3.18
1-0-1
3.24
0-1-1
3.06
1-0-1
2.85
0-2-0
3.17
2-0-0
3.03
2-0-0
3.39
0-1-1
2.73
2-0-0
2.78
0-1-1
3.39
1-1-0
3.58
KFUM Oslo
0-1-1
2.88
2-0-0
3.36
0-2-0
3.45
1-1-0
3.18
0-1-1
2.28
 —
0-0-2
2.56
0-1-1
2.49
2-0-0
2.54
0-0-2
2.73
1-0-1
2.79
0-1-1
3.32
0-0-2
2.42
0-0-2
2.56
0-0-2
3.04
0-1-1
3.44
Kongsvinger
1-0-1
2.52
1-1-0
3.58
0-1-1
3.67
1-1-0
2.85
1-0-1
2.22
2-0-0
2.89
 —
1-0-1
2.54
0-1-1
2.94
1-0-1
2.76
2-0-0
2.85
2-0-0
3.06
2-0-0
2.17
0-1-1
2.61
0-1-1
3.07
0-1-1
3.44
Kristiansund
1-0-1
3.13
1-1-0
3.75
1-1-0
3.57
1-0-1
3.50
1-1-0
2.40
1-1-0
3.00
1-0-1
2.92
 —
2-0-0
3.15
0-0-2
2.94
2-0-0
3.15
2-0-0
3.41
1-1-0
2.64
1-0-1
3.07
2-0-0
3.41
2-0-0
3.63
Levanger
1-1-0
2.62
1-0-1
3.54
2-0-0
3.35
1-0-1
3.17
1-0-1
2.60
0-0-2
2.93
1-1-0
2.54
0-0-2
2.32
 —
0-2-0
2.76
0-0-2
3.09
2-0-0
3.13
2-0-0
2.34
0-1-1
2.42
0-1-1
3.19
2-0-0
3.22
Mjondalen
2-0-0
2.35
1-0-1
3.29
2-0-0
3.17
1-0-1
3.07
0-2-0
2.30
2-0-0
2.76
1-0-1
2.70
2-0-0
2.53
0-2-0
2.69
 —
1-1-0
2.71
0-1-1
2.91
0-1-1
2.41
1-0-1
2.59
0-2-0
2.96
0-1-1
3.14
Ranheim
1-1-0
2.85
1-1-0
3.34
1-1-0
3.16
1-0-1
3.09
0-0-2
2.44
1-0-1
2.67
0-0-2
2.63
0-0-2
2.31
2-0-0
2.38
0-1-1
2.77
 —
2-0-0
3.30
1-0-1
2.10
0-0-2
2.39
1-0-1
2.90
0-2-0
3.25
Raufoss
0-0-2
2.26
1-0-1
3.03
1-1-0
3.16
1-0-1
2.62
0-0-2
2.11
1-1-0
2.16
0-0-2
2.40
0-0-2
2.06
0-0-2
2.33
1-1-0
2.54
0-0-2
2.19
 —
0-0-2
2.08
0-0-2
2.17
0-0-2
2.44
1-0-1
2.99
Sandefjord
1-1-0
3.06
2-0-0
3.81
2-0-0
3.52
2-0-0
3.42
1-1-0
2.75
2-0-0
3.04
0-0-2
3.30
0-1-1
2.82
0-0-2
3.14
1-1-0
3.07
1-0-1
3.37
2-0-0
3.40
 —
0-1-1
2.85
2-0-0
3.29
2-0-0
3.39
Sandnes Ulf
0-0-2
3.31
0-1-1
3.64
1-1-0
3.50
1-0-1
3.62
0-0-2
2.68
2-0-0
2.89
1-1-0
2.85
1-0-1
2.39
1-1-0
3.03
1-0-1
2.87
2-0-0
3.07
2-0-0
3.35
1-1-0
2.60
 —
1-0-1
3.19
1-1-0
3.41
Strommen
0-1-1
2.59
1-1-0
3.11
0-1-1
3.00
2-0-0
2.75
1-1-0
2.09
2-0-0
2.43
1-1-0
2.40
0-0-2
2.07
1-1-0
2.28
0-2-0
2.50
1-0-1
2.57
2-0-0
3.02
0-0-2
2.18
1-0-1
2.28
 —
1-0-1
2.96
Ullensaker Kisa
1-0-1
2.14
1-1-0
2.90
0-0-2
3.00
1-0-1
2.56
0-1-1
1.92
1-1-0
2.05
1-1-0
2.05
0-0-2
1.87
0-0-2
2.26
1-1-0
2.32
0-2-0
2.22
1-0-1
2.49
0-0-2
2.09
0-1-1
2.09
1-0-1
2.50
 —

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 0.65 +10.8
Allowed 0.73 -11.1
Differential 0.85 +6.7

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
05.42%7.50%6.25%3.96%1.04%1.25%25.42%
17.50%10.00%8.12%4.38%0.83%1.04%31.87%
26.25%8.12%7.92%2.50%0.42%0.42%25.62%
33.96%4.38%2.50%—0.21%0.21%11.25%
41.04%0.83%0.42%0.21%—0.21%2.71%
5+1.25%1.04%0.42%0.21%0.21%—3.12%
Total25.42%31.87%25.62%11.25%2.71%3.12%100%

Summary Statistics

Scored Allowed Difference
Mean 1.45 1.45 +0.00
SD 1.29 1.29 1.94
CV 0.89 0.89 —
Max 8 8 +6
Min 0 0 -6

Games Played: 240

↓ Scored | Allowed →012345+Total
06.67%10.00%13.33%3.33%——33.33%
13.33%16.67%3.33%3.33%3.33%—30.00%
213.33%3.33%3.33%3.33%——23.33%
36.67%3.33%————10.00%
4——3.33%———3.33%
5+———————
Total30.00%33.33%23.33%10.00%3.33%—100%

Summary Statistics

Scored Allowed Difference
Mean 1.20 1.23 -0.03
SD 1.13 1.10 1.73
CV 0.94 0.90 —
Max 4 4 +3
Min 0 0 -3

Games Played: 30

↓ Scored | Allowed →012345+Total
03.33%16.67%6.67%10.00%3.33%—40.00%
13.33%16.67%6.67%——3.33%30.00%
23.33%—10.00%———13.33%
33.33%10.00%————13.33%
4———3.33%——3.33%
5+———————
Total13.33%43.33%23.33%13.33%3.33%3.33%100%

Summary Statistics

Scored Allowed Difference
Mean 1.10 1.60 -0.50
SD 1.18 1.19 1.80
CV 1.08 0.74 —
Max 4 5 +3
Min 0 0 -4

Games Played: 30

↓ Scored | Allowed →012345+Total
013.33%13.33%—3.33%3.33%—33.33%
13.33%10.00%10.00%6.67%—3.33%33.33%
2—16.67%6.67%3.33%——26.67%
3——3.33%———3.33%
4———————
5+—3.33%————3.33%
Total16.67%43.33%20.00%13.33%3.33%3.33%100%

Summary Statistics

Scored Allowed Difference
Mean 1.13 1.60 -0.47
SD 1.14 1.45 1.80
CV 1.00 0.91 —
Max 5 7 +4
Min 0 0 -6

Games Played: 30

↓ Scored | Allowed →012345+Total
03.33%3.33%13.33%10.00%—3.33%33.33%
110.00%10.00%13.33%3.33%—3.33%40.00%
26.67%3.33%6.67%———16.67%
33.33%—3.33%——3.33%10.00%
4———————
5+———————
Total23.33%16.67%36.67%13.33%—10.00%100%

Summary Statistics

Scored Allowed Difference
Mean 1.03 1.90 -0.87
SD 0.96 1.77 2.01
CV 0.93 0.93 —
Max 3 8 +3
Min 0 0 -5

Games Played: 30

↓ Scored | Allowed →012345+Total
0—3.33%3.33%——3.33%10.00%
120.00%20.00%6.67%3.33%——50.00%
210.00%6.67%6.67%3.33%——26.67%
3——3.33%———3.33%
43.33%3.33%————6.67%
5+—3.33%————3.33%
Total33.33%36.67%20.00%6.67%—3.33%100%

Summary Statistics

Scored Allowed Difference
Mean 1.57 1.13 +0.43
SD 1.17 1.17 1.79
CV 0.74 1.03 —
Max 5 5 +4
Min 0 0 -5

Games Played: 30

↓ Scored | Allowed →012345+Total
013.33%6.67%13.33%10.00%——43.33%
13.33%10.00%10.00%6.67%——30.00%
2—3.33%3.33%3.33%—3.33%13.33%
36.67%—3.33%———10.00%
4———————
5+3.33%—————3.33%
Total26.67%20.00%30.00%20.00%—3.33%100%

Summary Statistics

Scored Allowed Difference
Mean 1.03 1.60 -0.57
SD 1.25 1.38 1.94
CV 1.21 0.86 —
Max 5 6 +5
Min 0 0 -4

Games Played: 30

↓ Scored | Allowed →012345+Total
0———3.33%——3.33%
16.67%10.00%16.67%3.33%——36.67%
210.00%10.00%13.33%6.67%——40.00%
33.33%6.67%3.33%———13.33%
4——3.33%———3.33%
5+3.33%—————3.33%
Total23.33%26.67%36.67%13.33%——100%

Summary Statistics

Scored Allowed Difference
Mean 1.87 1.40 +0.47
SD 1.04 1.00 1.63
CV 0.56 0.72 —
Max 5 3 +5
Min 0 0 -3

Games Played: 30

↓ Scored | Allowed →012345+Total
010.00%3.33%6.67%———20.00%
116.67%3.33%3.33%3.33%——26.67%
210.00%13.33%3.33%3.33%——30.00%
3—13.33%10.00%———23.33%
4———————
5+———————
Total36.67%33.33%23.33%6.67%——100%

Summary Statistics

Scored Allowed Difference
Mean 1.57 1.00 +0.57
SD 1.07 0.95 1.25
CV 0.68 0.95 —
Max 3 3 +2
Min 0 0 -2

Games Played: 30

↓ Scored | Allowed →012345+Total
0—3.33%3.33%3.33%—3.33%13.33%
113.33%6.67%10.00%6.67%——36.67%
23.33%6.67%13.33%3.33%——26.67%
33.33%6.67%3.33%—3.33%—16.67%
43.33%—————3.33%
5+3.33%—————3.33%
Total26.67%23.33%30.00%13.33%3.33%3.33%100%

Summary Statistics

Scored Allowed Difference
Mean 1.73 1.53 +0.20
SD 1.31 1.31 2.12
CV 0.76 0.85 —
Max 6 5 +6
Min 0 0 -5

Games Played: 30

↓ Scored | Allowed →012345+Total
06.67%3.33%3.33%3.33%—3.33%20.00%
110.00%13.33%3.33%3.33%—3.33%33.33%
210.00%3.33%13.33%———26.67%
36.67%3.33%————10.00%
43.33%3.33%————6.67%
5+——3.33%———3.33%
Total36.67%26.67%23.33%6.67%—6.67%100%

Summary Statistics

Scored Allowed Difference
Mean 1.63 1.27 +0.37
SD 1.40 1.39 2.16
CV 0.86 1.10 —
Max 6 5 +4
Min 0 0 -5

Games Played: 30

↓ Scored | Allowed →012345+Total
03.33%6.67%10.00%3.33%——23.33%
110.00%6.67%6.67%6.67%3.33%—33.33%
23.33%10.00%10.00%3.33%—3.33%30.00%
33.33%3.33%————6.67%
4—3.33%————3.33%
5+—3.33%————3.33%
Total20.00%33.33%26.67%13.33%3.33%3.33%100%

Summary Statistics

Scored Allowed Difference
Mean 1.50 1.60 -0.10
SD 1.46 1.35 2.09
CV 0.97 0.85 —
Max 7 6 +6
Min 0 0 -4

Games Played: 30

↓ Scored | Allowed →012345+Total
03.33%10.00%6.67%6.67%6.67%3.33%36.67%
13.33%6.67%20.00%6.67%——36.67%
23.33%6.67%—3.33%3.33%—16.67%
33.33%—————3.33%
4—————3.33%3.33%
5+—3.33%————3.33%
Total13.33%26.67%26.67%16.67%10.00%6.67%100%

Summary Statistics

Scored Allowed Difference
Mean 1.10 2.07 -0.97
SD 1.24 1.51 2.04
CV 1.13 0.73 —
Max 5 6 +4
Min 0 0 -6

Games Played: 30

↓ Scored | Allowed →012345+Total
03.33%6.67%—3.33%—3.33%16.67%
16.67%3.33%3.33%3.33%——16.67%
213.33%13.33%10.00%3.33%——40.00%
310.00%10.00%3.33%———23.33%
4—3.33%————3.33%
5+———————
Total33.33%36.67%16.67%10.00%—3.33%100%

Summary Statistics

Scored Allowed Difference
Mean 1.80 1.17 +0.63
SD 1.10 1.21 1.87
CV 0.61 1.03 —
Max 4 5 +3
Min 0 0 -5

Games Played: 30

↓ Scored | Allowed →012345+Total
03.33%16.67%10.00%———30.00%
13.33%13.33%—3.33%——20.00%
210.00%6.67%3.33%———20.00%
33.33%6.67%3.33%———13.33%
43.33%—————3.33%
5+10.00%—3.33%———13.33%
Total33.33%43.33%20.00%3.33%——100%

Summary Statistics

Scored Allowed Difference
Mean 1.83 0.93 +0.90
SD 1.78 0.83 2.17
CV 0.97 0.89 —
Max 6 3 +5
Min 0 0 -2

Games Played: 30

↓ Scored | Allowed →012345+Total
010.00%3.33%10.00%3.33%——26.67%
13.33%3.33%3.33%3.33%6.67%—20.00%
2—23.33%13.33%———36.67%
33.33%6.67%————10.00%
43.33%—————3.33%
5+————3.33%—3.33%
Total20.00%36.67%26.67%6.67%10.00%—100%

Summary Statistics

Scored Allowed Difference
Mean 1.53 1.50 +0.03
SD 1.28 1.20 1.73
CV 0.83 0.80 —
Max 5 4 +4
Min 0 0 -3

Games Played: 30

↓ Scored | Allowed →012345+Total
06.67%13.33%——3.33%—23.33%
13.33%10.00%13.33%6.67%—3.33%36.67%
23.33%3.33%10.00%3.33%3.33%—23.33%
36.67%—3.33%———10.00%
4———————
5+—3.33%—3.33%——6.67%
Total20.00%30.00%26.67%13.33%6.67%3.33%100%

Summary Statistics

Scored Allowed Difference
Mean 1.57 1.67 -0.10
SD 1.68 1.32 2.02
CV 1.07 0.79 —
Max 8 5 +5
Min 0 0 -4

Games Played: 30

Home-Field Advantage Edge

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

Top Overachievers & Disappointments

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

Biggest Overachievers

# Team Actual Sim vsSim
1 Kristiansund 62 47.73 +14.27
2 Sandefjord 59 48.25 +10.75
3 Strommen 47 38.05 +8.95
4 Mjondalen 49 41.52 +7.48
5 Kongsvinger 49 43.08 +5.92

Biggest Disappointments

# Team Actual Sim vsSim
1 KFUM Oslo 26 43.16 -17.16
2 Raufoss 21 36.52 -15.52
3 Hodd 30 36.46 -6.46
4 Asane 38 42.60 -4.60
5 Ranheim 39 41.68 -2.68

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 Sandefjord 7 Apr 24 – May 29 1 in 300
2 Mjondalen 4 Jun 11 – Jun 30 1 in 72
3 Jerv 5 Jul 31 – Aug 24 1 in 46
4 Levanger 4 Apr 3 – Apr 24 1 in 40
5 Kongsvinger 3 Apr 24 – May 8 1 in 32

Most Unlikely Losing Streaks

# Team Games Dates Probability
1 Levanger 6 Aug 14 – Sep 18 1 in 582
2 Raufoss 8 Aug 25 – Oct 23 1 in 285
3 Sandefjord 4 Jul 3 – Aug 8 1 in 184
4 Ranheim 5 Aug 7 – Aug 28 1 in 87
5 Bryne 6 Jun 12 – Jul 10 1 in 81

Most Unlikely Unbeaten Streaks

# Team Games Dates Probability
1 Kristiansund 14 Apr 10 – Jun 29 1 in 239
2 Kongsvinger 9 Jul 10 – Sep 18 1 in 53
3 Mjondalen 7 May 21 – Jun 30 1 in 45
4 Strommen 7 Apr 10 – May 16 1 in 45
5 Fredrikstad 6 Aug 14 – Sep 19 1 in 31

Most Unlikely Winless Streaks

# Team Games Dates Probability
1 Raufoss 10 May 8 – Jun 29 1 in 64
2 Asane 7 Aug 14 – Sep 25 1 in 28
3 Levanger 6 May 16 – Jun 19 1 in 20
4 KFUM Oslo 7 Aug 14 – Sep 25 1 in 17
5 Bryne 10 Jun 12 – Aug 21 1 in 16

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
Kristiansund17.44%14.04%12.05%10.17%9.20%8.24%6.56%6.15%4.35%3.57%3.00%1.97%1.51%0.95%0.59%0.21%
Sandefjord19.02%15.37%13.58%10.61%8.41%7.44%6.12%5.03%4.05%2.98%2.61%1.76%1.23%1.03%0.49%0.27%
Jerv19.51%15.38%12.68%10.58%8.91%7.34%6.51%4.74%4.04%3.10%2.57%1.68%1.51%0.86%0.38%0.21%
Sandnes Ulf13.89%12.60%11.18%10.80%9.48%8.10%7.41%6.42%5.06%4.39%3.36%2.72%2.05%1.28%1.01%0.25%
Kongsvinger5.30%7.10%7.84%8.19%8.87%8.82%7.80%8.48%7.59%7.19%6.12%5.45%4.19%3.42%2.23%1.41%
Mjondalen3.43%5.17%6.19%7.04%7.60%8.08%8.27%8.37%7.85%7.68%7.09%6.89%5.81%4.75%3.50%2.28%
Strommen0.99%2.11%2.96%3.52%4.64%5.49%6.40%6.96%7.78%8.17%9.55%9.52%9.02%8.49%8.30%6.10%
Levanger5.52%6.93%7.49%8.69%8.88%7.49%8.30%7.61%7.92%7.36%6.25%5.35%4.74%3.69%2.29%1.49%
Ranheim3.70%4.69%5.74%6.37%7.67%8.39%8.13%8.16%7.97%8.28%7.55%6.61%5.90%4.87%3.54%2.43%
Asane4.54%6.15%7.34%7.71%7.63%8.23%7.82%8.76%8.13%7.40%6.73%6.05%4.68%4.10%3.01%1.72%
Fredrikstad0.13%0.35%0.51%0.98%1.43%1.69%2.67%2.74%3.90%5.55%6.09%8.62%10.56%13.41%17.93%23.44%
Ullensaker Kisa0.34%0.79%1.21%1.41%2.05%2.56%3.63%4.49%5.95%6.84%8.14%9.93%11.05%13.11%13.70%14.80%
Bryne0.09%0.36%0.53%0.91%1.15%1.93%2.42%2.79%3.82%5.23%6.77%8.28%11.26%14.08%16.94%23.44%
Hodd0.57%1.25%1.79%2.53%2.89%3.95%4.94%5.22%6.86%7.56%8.79%10.03%10.48%11.07%11.82%10.25%
KFUM Oslo4.89%6.47%7.25%8.00%8.00%8.48%8.31%8.51%8.00%7.26%6.44%5.38%5.09%3.74%2.71%1.47%
Raufoss0.64%1.24%1.66%2.49%3.19%3.77%4.71%5.57%6.73%7.44%8.94%9.76%10.92%11.15%11.56%10.23%

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
+25.00%
Clear Edge
50.83%23.33%25.83%
Elo Value
Home Edge
164 Elo
0.006 goals per Elo point
088.74500
Scoring Tilt
Expected
+0.59 goals
Home-Tilted
-2+0.54+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
7.3
Wide Open
124610
Champion Preseason Odds
17%
Kristiansund, 3rd of 16
LongshotFavorite
Title Margin
Expected
0.10/gm
Photo Finish
00.130.5/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 5.53 * Some Luck: 5.53 to 8.3 * Lucky: 8.3 to 11.06 * Wild Swing: 11.06 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 2.56 * Close: 2.56 to 3.84 * Off: 3.84 to 5.12 * Way Off: 5.12 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
8.48 points
Lucky
06.9117
Average Finish Error
Expected
2.62
Close
03.208
Biggest Overachiever
Expected 96.88%
98.16%
Kristiansund
50100
Biggest Underachiever
Expected 3.12%
0.64%
KFUM Oslo
050
Season Outliers
Expected
3 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
0.16
Even
00.120.180.260.5
Noll-Scully
Coin-flip
1.48
Moderate Separation
01.003
Interquartile Edge
68%
Slight Edge
50%60%70%80%100%
Best vs. Worst
Baseline
79%
Clear Edge
50%83%100%
Close Games
Expected
60%
Very Frequent
0%56%100%
Blowouts
Expected
18%
Frequent
0%20%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
0.61
Predictable
00.632
Matchup Imbalance
0.25
Notable Separation
00.10.180.280.5
Strangeness
Expected
1.50
Chaotic
01.002
Repeatability
0.23
Weak Carryover
00.30.60.851
Upset Rate
Expected
26%
As Expected
0%28%50%
Clear Favorite Upset Rate
Expected
20%
As Expected
0%23%50%

Calibration

How these are measured

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

Probability calibration
An all-in-one chi-square test of the model's probabilities. Matches are grouped by how confident the model was, and within each group the predicted and actual counts of home wins, draws, and away wins are compared. The p-value is plotted; above 0.05 means well-calibrated.
Miscalibrated: under 0.05 * Borderline: 0.05 to 0.1 * Well Calibrated: 0.1 to 0.5 * Excellent: 0.5 and up.
Calibration slope
Checks whether the spread of the probabilities is right. Each probability is turned into log-odds and a line is fit predicting the actual results. A slope of 1.00 is perfect; below 1 is overconfidence (favorites lost more than their odds implied); above 1 is under-confidence.
Overconfident: under 0.85 * Calibrated: 0.85 to 1.15 * Underconfident: 1.15 to 1.3 * Very Underconfident: 1.3 and up.
Calibration error (ECE)
The average gap between the model's stated chances and how often the predicted result actually happened. Smaller is better. The gold line is the noise ceiling, the error luck alone can produce even with perfect probabilities; below it, the model's error is no larger than chance.
Well Within Noise: under 0.1 * Near Noise Ceiling: 0.1 to 0.15 * Above Noise: 0.15 to 0.2 * Well Above Noise: 0.2 and up.
Probability calibration
0.14
Well Calibrated
0.010.050.10.51
Calibration slope
Ideal
1.00
Calibrated
0.51.001.5
Calibration error (ECE)
Noise ceiling
0.079
Well Within Noise
00.1020.25

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
Sandefjord 34.39% 40.04% 22.55% 3.02%
Kristiansund 31.48% 39.66% 25.60% 3.26%
Levanger 12.45% 32.55% 42.79% 12.21%
Jerv — 100% — —
Kongsvinger — 100% — —
Mjondalen — 100% — —
Sandnes Ulf — 100% — —
KFUM Oslo 11.36% 31.73% 43.90% 13.01%
Asane 10.69% 30.91% 44.89% 13.51%
Ranheim 8.39% 28.17% 46.70% 16.74%
Strommen 3.10% 16.61% 48.38% 31.91%
Hodd 1.82% 11.16% 43.40% 43.62%
Raufoss 1.88% 11.11% 43.15% 43.86%
Ullensaker Kisa 1.13% 7.23% 38.98% 52.66%
Fredrikstad 0.48% 4.61% 29.57% 65.34%
Bryne 0.45% 4.52% 29.31% 65.72%
Loser →
↓ Winner
AalesundAsaneBodo GlimtBrannBryneFredrikstadHaugesundHoddJervKFUM OsloKongsvingerKristiansundLevangerLillestromMjondalenMoldeRanheimRaufossSandefjordSandnes UlfSarpsborg 08SogndalStabaekStartStrommenTromsoUllensaker KisaValerengaViking
Aalesund
Asane100.0%1.00%0.0%3.00%0.0%2.00%50.0%4.00%50.0%2.00%66.7%3.00%100.0%1.00%50.0%2.00%100.0%1.00%50.0%4.00%50.0%2.00%100.0%1.00%
Bodo Glimt
Brann
Bryne100.0%1.00%
Fredrikstad0.0%2.00%0.0%2.00%100.0%1.00%100.0%1.00%0.0%1.00%0.0%1.00%100.0%1.00%
Haugesund
Hodd0.0%1.00%0.0%3.00%0.0%1.00%0.0%1.00%0.0%1.00%0.0%1.00%0.0%2.00%0.0%1.00%
Jerv100.0%3.00%100.0%3.00%100.0%3.00%25.0%4.00%37.5%8.00%50.0%2.00%0.0%1.00%50.0%2.00%50.0%2.00%66.7%3.00%0.0%1.00%100.0%1.00%
KFUM Oslo100.0%2.00%100.0%1.00%0.0%3.00%25.0%4.00%33.3%3.00%20.0%5.00%50.0%2.00%0.0%1.00%0.0%4.00%100.0%2.00%0.0%2.00%0.0%1.00%
Kongsvinger50.0%4.00%100.0%2.00%75.0%4.00%75.0%4.00%20.0%5.00%16.7%6.00%50.0%2.00%75.0%4.00%100.0%4.00%50.0%2.00%0.0%1.00%
Kristiansund50.0%2.00%100.0%2.00%100.0%1.00%62.5%8.00%66.7%3.00%62.5%8.00%40.0%5.00%50.0%4.00%0.0%1.00%50.0%4.00%0.0%5.00%50.0%2.00%100.0%1.00%
Levanger33.3%3.00%0.0%1.00%50.0%2.00%80.0%5.00%80.0%5.00%37.5%8.00%50.0%2.00%100.0%2.00%0.0%1.00%20.0%5.00%50.0%2.00%
Lillestrom
Mjondalen0.0%1.00%0.0%1.00%0.0%1.00%100.0%1.00%100.0%1.00%83.3%6.00%60.0%5.00%50.0%2.00%100.0%1.00%100.0%1.00%0.0%3.00%50.0%4.00%0.0%2.00%
Molde
Ranheim50.0%2.00%100.0%1.00%100.0%1.00%50.0%2.00%50.0%2.00%50.0%2.00%50.0%4.00%0.0%2.00%0.0%1.00%37.5%8.00%33.3%3.00%33.3%3.00%
Raufoss0.0%1.00%50.0%2.00%100.0%1.00%25.0%4.00%100.0%1.00%100.0%1.00%0.0%1.00%50.0%2.00%100.0%1.00%0.0%1.00%
Sandefjord50.0%4.00%100.0%2.00%33.3%3.00%100.0%4.00%0.0%4.00%50.0%4.00%80.0%5.00%100.0%3.00%62.5%8.00%50.0%2.00%100.0%3.00%100.0%1.00%
Sandnes Ulf50.0%2.00%100.0%1.00%100.0%1.00%100.0%1.00%0.0%2.00%50.0%2.00%100.0%5.00%50.0%2.00%50.0%4.00%66.7%3.00%0.0%1.00%0.0%3.00%75.0%4.00%
Sarpsborg 08
Sogndal
Stabaek
Start
Strommen0.0%1.00%0.0%1.00%100.0%2.00%50.0%2.00%100.0%2.00%66.7%3.00%0.0%1.00%
Tromso
Ullensaker Kisa0.0%1.00%100.0%1.00%100.0%1.00%0.0%1.00%100.0%1.00%25.0%4.00%
Valerenga
Viking
Loser →
↓ Winner
AalesundAsaneBodo GlimtBrannBryneFredrikstadHaugesundJervKFUM OsloKongsvingerKristiansundLevangerLillestromMjondalenMoldeRanheimRaufossSandefjordSandnes UlfSarpsborg 08SogndalStabaekStartStrommenTromsoUllensaker KisaValerengaViking
Aalesund
Asane50.0%2.00%100.0%1.00%0.0%5.00%0.0%1.00%0.0%1.00%0.0%3.00%
Bodo Glimt
Brann
Bryne0.0%1.00%
Fredrikstad0.0%1.00%0.0%1.00%100.0%1.00%
Haugesund
Jerv50.0%2.00%100.0%1.00%100.0%1.00%100.0%3.00%66.7%3.00%75.0%4.00%0.0%1.00%100.0%2.00%100.0%2.00%
KFUM Oslo0.0%1.00%100.0%1.00%100.0%1.00%0.0%2.00%100.0%1.00%0.0%2.00%0.0%1.00%
Kongsvinger0.0%1.00%0.0%3.00%0.0%1.00%100.0%2.00%25.0%4.00%0.0%2.00%100.0%1.00%20.0%5.00%100.0%1.00%100.0%1.00%
Kristiansund100.0%5.00%33.3%3.00%0.0%1.00%0.0%2.00%0.0%2.00%100.0%2.00%80.0%5.00%50.0%2.00%100.0%1.00%0.0%1.00%
Levanger100.0%1.00%25.0%4.00%75.0%4.00%100.0%2.00%0.0%1.00%0.0%1.00%0.0%1.00%33.3%3.00%100.0%1.00%
Lillestrom
Mjondalen100.0%1.00%100.0%2.00%0.0%2.00%100.0%1.00%0.0%1.00%100.0%1.00%75.0%4.00%50.0%2.00%100.0%1.00%
Molde
Ranheim0.0%1.00%100.0%2.00%100.0%1.00%100.0%1.00%100.0%2.00%50.0%4.00%100.0%1.00%100.0%1.00%
Raufoss100.0%1.00%100.0%1.00%0.0%1.00%0.0%2.00%0.0%1.00%0.0%1.00%
Sandefjord100.0%3.00%100.0%1.00%0.0%2.00%100.0%2.00%0.0%1.00%20.0%5.00%66.7%3.00%25.0%4.00%50.0%4.00%100.0%1.00%0.0%1.00%100.0%1.00%
Sandnes Ulf100.0%1.00%0.0%2.00%100.0%1.00%80.0%5.00%50.0%2.00%50.0%2.00%0.0%1.00%100.0%1.00%100.0%1.00%0.0%1.00%100.0%1.00%
Sarpsborg 08
Sogndal
Stabaek
Start
Strommen0.0%1.00%0.0%1.00%0.0%1.00%0.0%1.00%0.0%1.00%0.0%1.00%100.0%1.00%
Tromso
Ullensaker Kisa0.0%1.00%100.0%1.00%0.0%1.00%0.0%1.00%
Valerenga
Viking
Loser →
↓ Winner
AalesundAsaneBodo GlimtBrannBryneFredrikstadHaugesundJervKFUM OsloKongsvingerKristiansundLevangerLillestromMjondalenMoldeRanheimRaufossSandefjordSandnes UlfSarpsborg 08SogndalStabaekStartStrommenTromsoUllensaker KisaValerengaViking
Aalesund100.0%1.00%100.0%1.00%100.0%1.00%100.0%3.00%0.0%2.00%0.0%1.00%0.0%1.00%100.0%1.00%
Asane0.0%1.00%0.0%1.00%
Bodo Glimt100.0%1.00%0.0%2.00%100.0%1.00%0.0%1.00%0.0%1.00%0.0%2.00%100.0%1.00%50.0%2.00%50.0%2.00%
Brann100.0%1.00%100.0%1.00%100.0%1.00%100.0%1.00%50.0%2.00%100.0%1.00%
Bryne
Fredrikstad0.0%1.00%
Haugesund100.0%1.00%100.0%2.00%0.0%1.00%0.0%1.00%100.0%1.00%100.0%1.00%100.0%1.00%100.0%2.00%
Jerv100.0%2.00%0.0%1.00%100.0%1.00%0.0%2.00%0.0%3.00%0.0%1.00%100.0%1.00%33.3%3.00%0.0%1.00%
KFUM Oslo0.0%1.00%0.0%1.00%0.0%1.00%
Kongsvinger0.0%1.00%0.0%1.00%0.0%1.00%0.0%2.00%0.0%1.00%0.0%1.00%
Kristiansund0.0%3.00%100.0%1.00%0.0%2.00%50.0%2.00%66.7%3.00%100.0%3.00%
Levanger100.0%1.00%100.0%1.00%100.0%1.00%0.0%1.00%0.0%2.00%0.0%1.00%0.0%1.00%0.0%1.00%
Lillestrom0.0%1.00%100.0%1.00%0.0%1.00%100.0%2.00%100.0%1.00%
Mjondalen100.0%2.00%100.0%1.00%0.0%1.00%0.0%1.00%0.0%2.00%100.0%1.00%0.0%1.00%0.0%1.00%
Molde100.0%1.00%
Ranheim100.0%2.00%0.0%1.00%0.0%1.00%0.0%1.00%100.0%2.00%0.0%1.00%0.0%1.00%100.0%1.00%
Raufoss0.0%1.00%0.0%1.00%
Sandefjord100.0%1.00%50.0%2.00%50.0%2.00%0.0%2.00%0.0%2.00%0.0%2.00%100.0%1.00%100.0%1.00%100.0%1.00%
Sandnes Ulf100.0%1.00%50.0%2.00%0.0%1.00%0.0%1.00%100.0%2.00%100.0%1.00%0.0%1.00%0.0%2.00%
Sarpsborg 08100.0%2.00%100.0%2.00%0.0%1.00%100.0%1.00%100.0%2.00%
Sogndal100.0%3.00%50.0%2.00%100.0%2.00%0.0%2.00%0.0%2.00%
Stabaek100.0%1.00%100.0%1.00%100.0%1.00%33.3%3.00%100.0%1.00%100.0%1.00%100.0%1.00%100.0%2.00%0.0%1.00%
Start0.0%1.00%0.0%1.00%100.0%1.00%
Strommen0.0%1.00%
Tromso66.7%3.00%100.0%1.00%0.0%3.00%100.0%1.00%100.0%1.00%0.0%1.00%100.0%2.00%100.0%1.00%
Ullensaker Kisa0.0%1.00%
Valerenga100.0%1.00%100.0%1.00%0.0%1.00%
Viking100.0%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 — — 60.39%
Jerv 60.51% 34.85% 13.95%
Sandnes Ulf 64.36% 29.77% 13.00%
Mjondalen 39.49% 21.49% 7.84%
Kongsvinger 35.64% 13.89% 4.82%
Loser →
↓ Winner
JervKongsvingerMjondalenSandnes UlfStabaek
Jerv60.5%100.00%
Kongsvinger35.6%100.00%
Mjondalen39.5%100.00%
Sandnes Ulf64.4%100.00%
Stabaek
Loser →
↓ Winner
JervKongsvingerMjondalenSandnes UlfStabaek
Jerv62.1%21.74%55.1%38.77%
Kongsvinger37.9%21.74%40.6%13.90%
Mjondalen59.4%13.90%51.7%25.59%
Sandnes Ulf44.9%38.77%48.3%25.59%
Stabaek
Loser →
↓ Winner
JervKongsvingerMjondalenSandnes UlfStabaek
Jerv40.0%34.85%
Kongsvinger34.7%13.89%
Mjondalen36.5%21.49%
Sandnes Ulf43.7%29.77%
Stabaek60.0%34.85%65.3%13.89%63.5%21.49%56.3%29.77%

Overall Game Log

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

Date Opponent Score Pre Elo Opp Elo Win % Tie % Loss % Elo Δ Points
2016-04-03 Bryne D 1-1 1384 1357 47.7% 26.5% 25.8% -0.9 1
2016-04-03 @ Hodd D 1-1 1357 1384 25.8% 26.5% 47.7% +0.9 1
2016-04-03 KFUM Oslo D 0-0 1411 1458 37.5% 27.4% 35.1% -0.1 1
2016-04-03 @ Raufoss D 0-0 1458 1411 35.1% 27.4% 37.5% +0.1 1
2016-04-03 Kongsvinger W 3-0 1396 1364 48.3% 26.4% 25.3% +15.0 3
2016-04-03 @ Asane L 0-3 1364 1396 25.3% 26.4% 48.3% -15.0 0
2016-04-03 Levanger L 2-3 1343 1391 37.5% 27.4% 35.1% -6.7 0
2016-04-03 @ Fredrikstad W 3-2 1391 1343 35.1% 27.4% 37.5% +6.7 3
2016-04-03 Ranheim W 2-1 1457 1423 48.6% 26.4% 25.1% +5.1 3
2016-04-03 @ Jerv L 1-2 1423 1457 25.1% 26.4% 48.6% -5.1 0
2016-04-03 Sandnes Ulf D 1-1 1347 1407 35.6% 27.4% 37.0% +0.0 1
2016-04-03 @ Ullensaker Kisa D 1-1 1407 1347 37.0% 27.4% 35.6% -0.0 1
2016-04-03 Strommen W 4-1 1419 1361 51.6% 25.8% 22.7% +11.5 3
2016-04-03 @ Sandefjord L 1-4 1361 1419 22.7% 25.8% 51.6% -11.5 0
2016-04-04 Kristiansund W 3-1 1401 1407 43.3% 27.1% 29.7% +10.2 3
2016-04-04 @ Mjondalen L 1-3 1407 1401 29.7% 27.1% 43.3% -10.2 0
2016-04-10 Asane L 0-2 1458 1411 50.3% 26.0% 23.7% -17.6 1
2016-04-10 @ KFUM Oslo W 2-0 1411 1458 23.7% 26.0% 50.3% +17.7 6
2016-04-10 Fredrikstad D 0-0 1350 1337 45.8% 26.8% 27.4% -0.8 1
2016-04-10 @ Strommen D 0-0 1337 1350 27.4% 26.8% 45.8% +0.8 1
2016-04-10 Hodd W 2-1 1418 1384 48.6% 26.3% 25.0% +5.1 3
2016-04-10 @ Ranheim L 1-2 1384 1418 25.0% 26.3% 48.6% -5.1 1
2016-04-10 Jerv W 2-0 1397 1462 35.0% 27.4% 37.6% +14.1 3
2016-04-10 @ Kristiansund L 0-2 1462 1397 37.6% 27.4% 35.0% -14.1 3
2016-04-10 Raufoss W 3-2 1349 1411 35.3% 27.4% 37.3% +6.6 3
2016-04-10 @ Kongsvinger L 2-3 1411 1349 37.3% 27.4% 35.3% -6.6 1
2016-04-10 Sandefjord W 1-0 1397 1430 39.5% 27.3% 33.2% +6.8 6
2016-04-10 @ Levanger L 0-1 1430 1397 33.2% 27.3% 39.5% -6.8 3
2016-04-10 Ullensaker Kisa D 1-1 1358 1347 45.6% 26.8% 27.6% -0.7 2
2016-04-10 @ Bryne D 1-1 1347 1358 27.6% 26.8% 45.6% +0.7 2
2016-04-11 Mjondalen W 5-0 1407 1412 43.5% 27.1% 29.5% +27.4 4
2016-04-11 @ Sandnes Ulf L 0-5 1412 1407 29.5% 27.1% 43.5% -27.4 3
2016-04-17 Bryne W 5-1 1405 1358 50.2% 26.0% 23.7% +15.4 4
2016-04-17 @ Raufoss L 1-5 1358 1405 23.7% 26.0% 50.2% -15.5 2
2016-04-17 KFUM Oslo D 1-1 1448 1441 45.1% 26.9% 28.0% -0.7 4
2016-04-17 @ Jerv D 1-1 1441 1448 28.0% 26.9% 45.1% +0.7 2
2016-04-17 Kongsvinger D 2-2 1379 1355 47.2% 26.6% 26.2% -0.6 2
2016-04-17 @ Hodd D 2-2 1355 1379 26.2% 26.6% 47.2% +0.6 4
2016-04-17 Levanger L 1-3 1348 1404 36.2% 27.4% 36.4% -11.8 2
2016-04-17 @ Ullensaker Kisa W 3-1 1404 1348 36.4% 27.4% 36.2% +11.8 9
2016-04-17 Ranheim L 0-1 1428 1423 44.8% 26.9% 28.3% -8.5 6
2016-04-17 @ Asane W 1-0 1423 1428 28.3% 26.9% 44.8% +8.5 6
2016-04-17 Sandnes Ulf D 2-2 1424 1434 42.6% 27.1% 30.2% -0.4 4
2016-04-17 @ Sandefjord D 2-2 1434 1424 30.2% 27.1% 42.6% +0.4 5
2016-04-17 Strommen D 1-1 1384 1349 48.8% 26.3% 24.9% -1.0 4
2016-04-17 @ Mjondalen D 1-1 1349 1384 24.9% 26.3% 48.8% +1.0 2
2016-04-18 Kristiansund L 0-1 1338 1411 33.7% 27.4% 38.9% -6.9 1
2016-04-18 @ Fredrikstad W 1-0 1411 1338 38.9% 27.4% 33.7% +6.9 6
2016-04-22 Mjondalen W 3-0 1342 1383 38.3% 27.4% 34.3% +19.1 5
2016-04-22 @ Bryne L 0-3 1383 1342 34.3% 27.4% 38.3% -19.1 4
2016-04-24 Asane D 0-0 1350 1420 34.3% 27.4% 38.4% +0.2 3
2016-04-24 @ Strommen D 0-0 1420 1350 38.4% 27.4% 34.3% -0.2 7
2016-04-24 Fredrikstad W 3-1 1435 1331 57.1% 24.2% 18.6% +6.8 8
2016-04-24 @ Sandnes Ulf L 1-3 1331 1435 18.6% 24.2% 57.1% -6.8 1
2016-04-24 Hodd W 2-0 1416 1378 49.1% 26.3% 24.6% +10.1 12
2016-04-24 @ Levanger L 0-2 1378 1416 24.6% 26.3% 49.1% -10.1 2
2016-04-24 Jerv W 5-0 1356 1447 31.4% 27.2% 41.4% +35.3 7
2016-04-24 @ Kongsvinger L 0-5 1447 1356 41.4% 27.2% 31.4% -35.3 4
2016-04-24 Ranheim W 3-2 1441 1432 45.4% 26.8% 27.8% +5.3 5
2016-04-24 @ KFUM Oslo L 2-3 1432 1441 27.8% 26.8% 45.4% -5.3 6
2016-04-24 Raufoss W 2-1 1418 1420 43.9% 27.0% 29.1% +5.8 9
2016-04-24 @ Kristiansund L 1-2 1420 1418 29.1% 27.0% 43.9% -5.8 4
2016-04-24 Sandefjord L 1-2 1336 1423 31.9% 27.3% 40.8% -6.2 2
2016-04-24 @ Ullensaker Kisa W 2-1 1423 1336 40.8% 27.3% 31.9% +6.2 7
2016-04-30 Sandefjord L 1-2 1324 1429 29.6% 27.1% 43.3% -5.9 1
2016-04-30 @ Fredrikstad W 2-1 1429 1324 43.3% 27.1% 29.6% +5.9 10
2016-05-01 Bryne D 2-2 1420 1361 51.7% 25.7% 22.6% -0.9 8
2016-05-01 @ Asane D 2-2 1361 1420 22.6% 25.7% 51.7% +0.9 6
2016-05-01 Kongsvinger L 0-3 1426 1391 48.7% 26.3% 25.0% -25.0 6
2016-05-01 @ Ranheim W 3-0 1391 1426 25.0% 26.3% 48.7% +25.0 10
2016-05-01 Kristiansund D 0-0 1446 1424 47.1% 26.6% 26.3% -0.9 6
2016-05-01 @ KFUM Oslo D 0-0 1424 1446 26.3% 26.6% 47.1% +0.9 10
2016-05-01 Levanger D 2-2 1364 1426 35.4% 27.4% 37.2% +0.0 5
2016-05-01 @ Mjondalen D 2-2 1426 1364 37.2% 27.4% 35.4% -0.1 13
2016-05-01 Sandnes Ulf W 2-0 1368 1442 33.7% 27.4% 38.9% +14.4 5
2016-05-01 @ Hodd L 0-2 1442 1368 38.9% 27.4% 33.7% -14.4 8
2016-05-01 Strommen D 2-2 1412 1350 52.1% 25.6% 22.2% -0.9 5
2016-05-01 @ Jerv D 2-2 1350 1412 22.2% 25.6% 52.1% +0.9 4
2016-05-01 Ullensaker Kisa W 2-1 1414 1330 54.8% 24.9% 20.2% +4.2 7
2016-05-01 @ Raufoss L 1-2 1330 1414 20.2% 24.9% 54.8% -4.2 2
2016-05-08 Asane L 0-2 1427 1419 45.2% 26.9% 27.9% -16.2 8
2016-05-08 @ Sandnes Ulf W 2-0 1419 1427 27.9% 26.9% 45.2% +16.2 11
2016-05-08 Fredrikstad L 1-2 1326 1318 45.1% 26.9% 28.0% -8.1 2
2016-05-08 @ Ullensaker Kisa W 2-1 1318 1326 28.0% 26.9% 45.1% +8.1 4
2016-05-08 Hodd W 2-1 1351 1382 39.8% 27.3% 32.9% +6.4 7
2016-05-08 @ Strommen L 1-2 1382 1351 32.9% 27.3% 39.8% -6.4 5
2016-05-08 Jerv L 0-1 1362 1411 37.2% 27.4% 35.4% -7.4 6
2016-05-08 @ Bryne W 1-0 1411 1362 35.4% 27.4% 37.2% +7.4 8
2016-05-08 KFUM Oslo W 2-0 1416 1446 40.0% 27.3% 32.7% +12.7 13
2016-05-08 @ Kongsvinger L 0-2 1446 1416 32.7% 27.3% 40.0% -12.7 6
2016-05-08 Ranheim W 3-1 1425 1401 47.2% 26.6% 26.2% +9.2 13
2016-05-08 @ Kristiansund L 1-3 1401 1425 26.2% 26.6% 47.2% -9.2 6
2016-05-08 Raufoss W 3-0 1426 1418 45.1% 26.9% 28.0% +16.3 16
2016-05-08 @ Levanger L 0-3 1418 1426 28.0% 26.9% 45.1% -16.3 7
2016-05-09 Mjondalen W 2-0 1435 1364 53.2% 25.4% 21.4% +8.9 13
2016-05-09 @ Sandefjord L 0-2 1364 1435 21.4% 25.4% 53.2% -8.9 5
2016-05-11 Sandnes Ulf L 1-2 1402 1411 42.9% 27.1% 30.0% -7.8 7
2016-05-11 @ Raufoss W 2-1 1411 1402 30.0% 27.1% 42.9% +7.8 11
2016-05-12 Bryne W 1-0 1392 1355 49.0% 26.3% 24.7% +5.4 9
2016-05-12 @ Ranheim L 0-1 1355 1392 24.7% 26.3% 49.0% -5.4 6
2016-05-12 Fredrikstad W 4-0 1355 1326 48.0% 26.5% 25.6% +19.8 8
2016-05-12 @ Mjondalen L 0-4 1326 1355 25.6% 26.5% 48.0% -19.8 4
2016-05-12 Kristiansund L 1-3 1429 1434 43.4% 27.1% 29.6% -13.6 13
2016-05-12 @ Kongsvinger W 3-1 1434 1429 29.6% 27.1% 43.4% +13.6 16
2016-05-12 Levanger L 0-1 1419 1442 40.8% 27.3% 31.9% -7.9 8
2016-05-12 @ Jerv W 1-0 1442 1419 31.9% 27.3% 40.8% +7.9 19
2016-05-12 Sandefjord L 1-3 1376 1444 34.5% 27.4% 38.2% -11.4 5
2016-05-12 @ Hodd W 3-1 1444 1376 38.2% 27.4% 34.5% +11.4 16
2016-05-12 Strommen L 1-3 1433 1357 53.8% 25.2% 21.0% -16.1 6
2016-05-12 @ KFUM Oslo W 3-1 1357 1433 21.0% 25.2% 53.8% +16.1 10
2016-05-12 Ullensaker Kisa W 4-2 1435 1317 58.6% 23.7% 17.6% +5.7 14
2016-05-12 @ Asane L 2-4 1317 1435 17.6% 23.7% 58.6% -5.7 2
2016-05-16 Asane W 2-0 1456 1441 46.1% 26.7% 27.1% +11.0 19
2016-05-16 @ Sandefjord L 0-2 1441 1456 27.1% 26.7% 46.1% -11.0 14
2016-05-16 Hodd W 2-0 1448 1364 54.7% 25.0% 20.3% +8.5 19
2016-05-16 @ Kristiansund L 0-2 1364 1448 20.3% 25.0% 54.7% -8.5 5
2016-05-16 Jerv L 0-1 1419 1411 45.2% 26.9% 28.0% -8.6 11
2016-05-16 @ Sandnes Ulf W 1-0 1411 1419 28.0% 26.9% 45.2% +8.6 11
2016-05-16 KFUM Oslo L 0-1 1349 1417 34.6% 27.4% 38.0% -7.0 6
2016-05-16 @ Bryne W 1-0 1417 1349 38.0% 27.4% 34.6% +7.0 9
2016-05-16 Kongsvinger W 2-1 1373 1415 38.2% 27.4% 34.4% +6.6 13
2016-05-16 @ Strommen L 1-2 1415 1373 34.4% 27.4% 38.2% -6.6 13
2016-05-16 Mjondalen W 5-1 1312 1375 35.2% 27.4% 37.4% +22.1 5
2016-05-16 @ Ullensaker Kisa L 1-5 1375 1312 37.4% 27.4% 35.2% -22.2 8
2016-05-16 Ranheim L 1-2 1450 1397 51.0% 25.9% 23.2% -8.9 19
2016-05-16 @ Levanger W 2-1 1397 1450 23.2% 25.9% 51.0% +8.9 12
2016-05-16 Raufoss D 1-1 1306 1394 31.8% 27.3% 40.9% +0.3 5
2016-05-16 @ Fredrikstad D 1-1 1394 1306 40.9% 27.3% 31.8% -0.3 8
2016-05-21 Mjondalen D 1-1 1419 1353 52.6% 25.5% 21.9% -1.3 12
2016-05-21 @ Jerv D 1-1 1353 1419 21.9% 25.5% 52.6% +1.3 9
2016-05-22 Fredrikstad W 3-0 1430 1307 59.2% 23.5% 17.2% +10.5 17
2016-05-22 @ Asane L 0-3 1307 1430 17.2% 23.5% 59.2% -10.5 5
2016-05-22 Kristiansund D 2-2 1342 1456 28.6% 27.0% 44.5% +0.5 7
2016-05-22 @ Bryne D 2-2 1456 1342 44.5% 27.0% 28.6% -0.5 20
2016-05-22 Levanger W 5-0 1424 1441 41.7% 27.2% 31.1% +28.5 12
2016-05-22 @ KFUM Oslo L 0-5 1441 1424 31.1% 27.2% 41.7% -28.5 19
2016-05-22 Sandefjord L 0-2 1394 1467 33.9% 27.4% 38.8% -13.0 8
2016-05-22 @ Raufoss W 2-0 1467 1394 38.8% 27.4% 33.9% +13.0 22
2016-05-22 Sandnes Ulf L 1-2 1409 1410 43.9% 27.0% 29.1% -7.9 13
2016-05-22 @ Kongsvinger W 2-1 1410 1409 29.1% 27.0% 43.9% +7.9 14
2016-05-22 Strommen W 4-1 1406 1380 47.6% 26.5% 25.9% +12.9 15
2016-05-22 @ Ranheim L 1-4 1380 1406 25.9% 26.5% 47.6% -12.9 13
2016-05-22 Ullensaker Kisa W 1-0 1356 1334 47.0% 26.6% 26.4% +5.7 8
2016-05-22 @ Hodd L 0-1 1334 1356 26.4% 26.6% 47.0% -5.7 5
2016-05-28 Hodd W 1-0 1296 1362 34.9% 27.4% 37.7% +7.5 8
2016-05-28 @ Fredrikstad L 0-1 1362 1296 37.7% 27.4% 34.9% -7.5 8
2016-05-29 Asane W 2-1 1456 1440 46.2% 26.7% 27.1% +5.5 23
2016-05-29 @ Kristiansund L 1-2 1440 1456 27.1% 26.7% 46.2% -5.5 17
2016-05-29 Bryne D 2-2 1367 1343 47.3% 26.6% 26.1% -0.6 14
2016-05-29 @ Strommen D 2-2 1343 1367 26.1% 26.6% 47.3% +0.6 8
2016-05-29 Jerv D 1-1 1328 1418 31.6% 27.2% 41.2% +0.4 6
2016-05-29 @ Ullensaker Kisa D 1-1 1418 1328 41.2% 27.2% 31.6% -0.4 13
2016-05-29 KFUM Oslo W 6-2 1418 1452 39.3% 27.3% 33.3% +17.3 17
2016-05-29 @ Sandnes Ulf L 2-6 1452 1418 33.3% 27.3% 39.3% -17.3 12
2016-05-29 Kongsvinger D 2-2 1413 1401 45.7% 26.8% 27.5% -0.5 20
2016-05-29 @ Levanger D 2-2 1401 1413 27.5% 26.8% 45.7% +0.5 14
2016-05-29 Ranheim W 3-1 1480 1419 51.9% 25.7% 22.4% +8.0 25
2016-05-29 @ Sandefjord L 1-3 1419 1480 22.4% 25.7% 51.9% -8.0 15
2016-05-30 Raufoss D 1-1 1354 1381 40.4% 27.3% 32.3% -0.3 10
2016-05-30 @ Mjondalen D 1-1 1381 1354 32.3% 27.3% 40.4% +0.3 9
2016-06-05 Kristiansund L 1-3 1366 1461 30.9% 27.2% 41.9% -10.5 14
2016-06-05 @ Strommen W 3-1 1461 1366 41.9% 27.2% 30.9% +10.5 26
2016-06-05 Levanger D 1-1 1435 1412 47.1% 26.6% 26.3% -0.8 18
2016-06-05 @ Asane D 1-1 1412 1435 26.3% 26.6% 47.1% +0.8 21
2016-06-05 Mjondalen D 2-2 1411 1354 51.5% 25.8% 22.7% -0.9 16
2016-06-05 @ Ranheim D 2-2 1354 1411 22.7% 25.8% 51.5% +0.9 11
2016-06-05 Raufoss W 1-0 1354 1381 40.3% 27.3% 32.4% +6.7 11
2016-06-05 @ Hodd L 0-1 1381 1354 32.4% 27.3% 40.3% -6.7 9
2016-06-05 Sandefjord W 1-0 1401 1488 32.0% 27.3% 40.7% +7.9 17
2016-06-05 @ Kongsvinger L 0-1 1488 1401 40.7% 27.3% 32.0% -7.9 25
2016-06-05 Sandnes Ulf W 1-0 1343 1435 31.3% 27.2% 41.5% +8.0 11
2016-06-05 @ Bryne L 0-1 1435 1343 41.5% 27.2% 31.3% -8.0 17
2016-06-05 Ullensaker Kisa D 0-0 1435 1329 57.4% 24.1% 18.4% -1.8 13
2016-06-05 @ KFUM Oslo D 0-0 1329 1435 18.4% 24.1% 57.4% +1.8 7
2016-06-06 Fredrikstad W 1-0 1418 1304 58.2% 23.9% 17.9% +4.0 16
2016-06-06 @ Jerv L 0-1 1304 1418 17.9% 23.9% 58.2% -4.0 8
2016-06-11 Asane W 2-0 1355 1434 33.0% 27.3% 39.6% +14.6 14
2016-06-11 @ Mjondalen L 0-2 1434 1355 39.6% 27.3% 33.0% -14.6 18
2016-06-12 Bryne W 2-1 1300 1351 36.9% 27.4% 35.8% +6.8 11
2016-06-12 @ Fredrikstad L 1-2 1351 1300 35.8% 27.4% 36.9% -6.8 11
2016-06-12 Jerv L 0-1 1375 1422 37.5% 27.4% 35.1% -7.4 9
2016-06-12 @ Raufoss W 1-0 1422 1375 35.1% 27.4% 37.5% +7.4 19
2016-06-12 KFUM Oslo L 1-2 1361 1433 33.9% 27.4% 38.7% -6.5 11
2016-06-12 @ Hodd W 2-1 1433 1361 38.7% 27.4% 33.9% +6.5 16
2016-06-12 Kongsvinger D 2-2 1330 1409 33.0% 27.3% 39.6% +0.2 8
2016-06-12 @ Ullensaker Kisa D 2-2 1409 1330 39.6% 27.3% 33.0% -0.2 18
2016-06-12 Kristiansund D 0-0 1480 1472 45.2% 26.9% 28.0% -0.8 26
2016-06-12 @ Sandefjord D 0-0 1472 1480 28.0% 26.9% 45.2% +0.8 27
2016-06-12 Ranheim W 2-0 1427 1410 46.4% 26.7% 26.9% +10.9 20
2016-06-12 @ Sandnes Ulf L 0-2 1410 1427 26.9% 26.7% 46.4% -10.9 16
2016-06-12 Strommen D 2-2 1413 1356 51.5% 25.8% 22.7% -0.9 22
2016-06-12 @ Levanger D 2-2 1356 1413 22.7% 25.8% 51.5% +0.9 15
2016-06-19 Fredrikstad L 1-2 1409 1307 57.0% 24.3% 18.8% -9.8 18
2016-06-19 @ Kongsvinger W 2-1 1307 1409 18.8% 24.3% 57.0% +9.8 14
2016-06-19 Hodd W 5-1 1429 1354 53.7% 25.2% 21.1% +13.9 22
2016-06-19 @ Jerv L 1-5 1354 1429 21.1% 25.2% 53.7% -13.9 11
2016-06-19 Levanger W 1-0 1472 1412 51.9% 25.7% 22.4% +4.9 30
2016-06-19 @ Kristiansund L 0-1 1412 1472 22.4% 25.7% 51.9% -4.9 22
2016-06-19 Mjondalen L 0-1 1440 1369 53.1% 25.4% 21.5% -9.8 16
2016-06-19 @ KFUM Oslo W 1-0 1369 1440 21.5% 25.4% 53.1% +9.8 17
2016-06-19 Raufoss W 3-1 1419 1367 50.9% 25.9% 23.2% +8.3 21
2016-06-19 @ Asane L 1-3 1367 1419 23.2% 25.9% 50.9% -8.3 9
2016-06-19 Sandefjord L 0-2 1345 1479 26.2% 26.6% 47.2% -10.6 11
2016-06-19 @ Bryne W 2-0 1479 1345 47.2% 26.6% 26.2% +10.6 29
2016-06-19 Sandnes Ulf W 3-1 1357 1438 32.7% 27.3% 40.0% +12.7 18
2016-06-19 @ Strommen L 1-3 1438 1357 40.0% 27.3% 32.7% -12.7 20
2016-06-19 Ullensaker Kisa D 2-2 1399 1331 53.0% 25.4% 21.6% -1.0 17
2016-06-19 @ Ranheim D 2-2 1331 1399 21.6% 25.4% 53.0% +1.0 9
2016-06-25 Kristiansund L 0-1 1425 1477 36.8% 27.4% 35.8% -7.3 20
2016-06-25 @ Sandnes Ulf W 1-0 1477 1425 35.8% 27.4% 36.8% +7.3 33
2016-06-26 Asane W 3-0 1340 1427 31.9% 27.3% 40.8% +21.7 14
2016-06-26 @ Hodd L 0-3 1427 1340 40.8% 27.3% 31.9% -21.7 21
2016-06-26 Bryne W 4-0 1407 1334 53.5% 25.3% 21.2% +16.8 25
2016-06-26 @ Levanger L 0-4 1334 1407 21.2% 25.3% 53.5% -16.8 11
2016-06-26 Jerv W 3-2 1490 1443 50.2% 26.0% 23.7% +4.6 32
2016-06-26 @ Sandefjord L 2-3 1443 1490 23.7% 26.0% 50.2% -4.6 22
2016-06-26 KFUM Oslo D 1-1 1316 1430 28.6% 27.0% 44.5% +0.6 15
2016-06-26 @ Fredrikstad D 1-1 1430 1316 44.5% 27.0% 28.6% -0.6 17
2016-06-26 Kongsvinger W 2-1 1379 1399 41.3% 27.2% 31.4% +6.2 20
2016-06-26 @ Mjondalen L 1-2 1399 1379 31.4% 27.2% 41.3% -6.2 18
2016-06-26 Ranheim L 1-2 1359 1398 38.6% 27.4% 34.1% -7.2 9
2016-06-26 @ Raufoss W 2-1 1398 1359 34.1% 27.4% 38.6% +7.2 20
2016-06-26 Strommen W 2-0 1332 1370 38.8% 27.4% 33.9% +13.0 12
2016-06-26 @ Ullensaker Kisa L 0-2 1370 1332 33.9% 27.4% 38.8% -13.0 18
2016-06-29 Bryne W 2-0 1393 1317 53.8% 25.2% 21.0% +8.8 21
2016-06-29 @ Kongsvinger L 0-2 1317 1393 21.0% 25.2% 53.8% -8.8 11
2016-06-29 Fredrikstad D 0-0 1406 1317 55.3% 24.8% 19.9% -1.6 21
2016-06-29 @ Ranheim D 0-0 1317 1406 19.9% 24.8% 55.3% +1.6 16
2016-06-29 Jerv D 1-1 1406 1438 39.6% 27.3% 33.1% -0.2 22
2016-06-29 @ Asane D 1-1 1438 1406 33.1% 27.3% 39.6% +0.2 23
2016-06-29 Levanger D 1-1 1418 1424 43.3% 27.1% 29.6% -0.5 21
2016-06-29 @ Sandnes Ulf D 1-1 1424 1418 29.6% 27.1% 43.3% +0.5 26
2016-06-29 Raufoss W 4-0 1357 1352 44.7% 26.9% 28.3% +21.5 21
2016-06-29 @ Strommen L 0-4 1352 1357 28.3% 26.9% 44.7% -21.5 9
2016-06-29 Sandefjord L 1-2 1429 1494 34.9% 27.4% 37.7% -6.7 17
2016-06-29 @ KFUM Oslo W 2-1 1494 1429 37.7% 27.4% 34.9% +6.7 35
2016-06-29 Ullensaker Kisa W 1-0 1485 1345 61.1% 22.8% 16.0% +3.6 36
2016-06-29 @ Kristiansund L 0-1 1345 1485 16.0% 22.8% 61.1% -3.6 12
2016-06-30 Hodd W 3-0 1385 1362 47.2% 26.6% 26.2% +15.5 23
2016-06-30 @ Mjondalen L 0-3 1362 1385 26.2% 26.6% 47.2% -15.5 14
2016-07-03 KFUM Oslo W 3-0 1341 1423 32.7% 27.3% 40.0% +21.4 15
2016-07-03 @ Ullensaker Kisa L 0-3 1423 1341 40.0% 27.3% 32.7% -21.4 17
2016-07-03 Kongsvinger W 3-2 1438 1402 48.9% 26.3% 24.8% +4.8 26
2016-07-03 @ Jerv L 2-3 1402 1438 24.8% 26.3% 48.9% -4.8 21
2016-07-03 Kristiansund W 2-0 1406 1488 32.5% 27.3% 40.2% +14.8 25
2016-07-03 @ Asane L 0-2 1488 1406 40.2% 27.3% 32.5% -14.8 36
2016-07-03 Levanger L 1-2 1501 1424 53.9% 25.2% 20.9% -9.3 35
2016-07-03 @ Sandefjord W 2-1 1424 1501 20.9% 25.2% 53.9% +9.3 29
2016-07-03 Mjondalen W 1-0 1330 1401 34.2% 27.4% 38.5% +7.6 12
2016-07-03 @ Raufoss L 0-1 1401 1330 38.5% 27.4% 34.2% -7.6 23
2016-07-03 Ranheim W 2-0 1347 1404 36.0% 27.4% 36.6% +13.8 17
2016-07-03 @ Hodd L 0-2 1404 1347 36.6% 27.4% 36.0% -13.8 21
2016-07-03 Strommen L 0-1 1308 1378 34.3% 27.4% 38.3% -7.0 11
2016-07-03 @ Bryne W 1-0 1378 1308 38.3% 27.4% 34.3% +7.0 24
2016-07-05 Sandnes Ulf D 0-0 1319 1418 30.4% 27.2% 42.4% +0.5 17
2016-07-05 @ Fredrikstad D 0-0 1418 1319 42.4% 27.2% 30.4% -0.5 22
2016-07-10 Asane W 2-0 1397 1420 40.9% 27.3% 31.9% +12.4 24
2016-07-10 @ Kongsvinger L 0-2 1420 1397 31.9% 27.3% 40.9% -12.4 25
2016-07-10 Bryne W 2-1 1474 1302 64.5% 21.5% 14.1% +2.9 39
2016-07-10 @ Kristiansund L 1-2 1302 1474 14.1% 21.5% 64.5% -2.9 11
2016-07-10 Fredrikstad W 2-1 1338 1319 46.6% 26.7% 26.7% +5.4 15
2016-07-10 @ Raufoss L 1-2 1319 1338 26.7% 26.7% 46.6% -5.4 17
2016-07-10 Hodd D 1-1 1401 1360 49.5% 26.2% 24.3% -1.0 18
2016-07-10 @ KFUM Oslo D 1-1 1360 1401 24.3% 26.2% 49.5% +1.0 18
2016-07-10 Jerv D 1-1 1393 1443 37.1% 27.4% 35.5% -0.1 24
2016-07-10 @ Mjondalen D 1-1 1443 1393 35.5% 27.4% 37.1% +0.1 27
2016-07-10 Strommen W 1-0 1417 1385 48.3% 26.4% 25.3% +5.5 25
2016-07-10 @ Sandnes Ulf L 0-1 1385 1417 25.3% 26.4% 48.3% -5.5 24
2016-07-10 Ullensaker Kisa W 3-1 1434 1362 53.3% 25.3% 21.4% +7.7 32
2016-07-10 @ Levanger L 1-3 1362 1434 21.4% 25.3% 53.3% -7.7 15
2016-07-11 Sandefjord W 3-0 1390 1492 30.1% 27.1% 42.8% +22.5 24
2016-07-11 @ Ranheim L 0-3 1492 1390 42.8% 27.1% 30.1% -22.5 35
2016-07-30 Mjondalen L 0-1 1314 1393 33.0% 27.3% 39.7% -6.8 17
2016-07-30 @ Fredrikstad W 1-0 1393 1314 39.7% 27.3% 33.0% +6.8 27
2016-07-31 KFUM Oslo D 0-0 1408 1400 45.1% 26.9% 28.0% -0.8 26
2016-07-31 @ Asane D 0-0 1400 1408 28.0% 26.9% 45.1% +0.8 19
2016-07-31 Kongsvinger L 1-3 1469 1410 51.8% 25.7% 22.5% -15.7 35
2016-07-31 @ Sandefjord W 3-1 1410 1469 22.5% 25.7% 51.8% +15.7 27
2016-07-31 Levanger W 2-1 1380 1442 35.4% 27.4% 37.2% +7.0 27
2016-07-31 @ Strommen L 1-2 1442 1380 37.2% 27.4% 35.4% -7.0 32
2016-07-31 Ranheim D 1-1 1299 1413 28.5% 26.9% 44.5% +0.6 12
2016-07-31 @ Bryne D 1-1 1413 1299 44.5% 26.9% 28.5% -0.6 25
2016-07-31 Raufoss W 2-1 1355 1343 45.6% 26.8% 27.6% +5.5 18
2016-07-31 @ Ullensaker Kisa L 1-2 1343 1355 27.6% 26.8% 45.6% -5.5 15
2016-07-31 Sandnes Ulf W 2-0 1443 1422 46.9% 26.6% 26.5% +10.7 30
2016-07-31 @ Jerv L 0-2 1422 1443 26.5% 26.6% 46.9% -10.7 25
2016-08-02 Kristiansund W 1-0 1361 1476 28.4% 26.9% 44.6% +8.5 21
2016-08-02 @ Hodd L 0-1 1476 1361 44.6% 26.9% 28.4% -8.5 39
2016-08-07 Asane L 1-2 1338 1407 34.3% 27.4% 38.3% -6.6 15
2016-08-07 @ Raufoss W 2-1 1407 1338 38.3% 27.4% 34.3% +6.6 29
2016-08-07 Bryne W 3-0 1401 1299 56.9% 24.3% 18.8% +11.5 22
2016-08-07 @ KFUM Oslo L 0-3 1299 1401 18.8% 24.3% 56.9% -11.5 12
2016-08-07 Fredrikstad W 1-0 1435 1307 59.8% 23.3% 16.9% +3.8 35
2016-08-07 @ Levanger L 0-1 1307 1435 16.9% 23.3% 59.8% -3.8 17
2016-08-07 Hodd W 2-1 1425 1370 51.3% 25.8% 22.9% +4.7 30
2016-08-07 @ Kongsvinger L 1-2 1370 1425 22.9% 25.8% 51.3% -4.7 21
2016-08-07 Jerv L 1-4 1412 1454 38.2% 27.4% 34.4% -17.4 25
2016-08-07 @ Ranheim W 4-1 1454 1412 34.4% 27.4% 38.2% +17.4 33
2016-08-07 Strommen W 2-0 1468 1387 54.5% 25.0% 20.5% +8.6 42
2016-08-07 @ Kristiansund L 0-2 1387 1468 20.5% 25.0% 54.5% -8.6 27
2016-08-07 Ullensaker Kisa D 0-0 1400 1360 49.3% 26.2% 24.5% -1.1 28
2016-08-07 @ Mjondalen D 0-0 1360 1400 24.5% 26.2% 49.3% +1.1 19
2016-08-08 Sandefjord W 5-0 1412 1453 38.3% 27.4% 34.4% +30.8 28
2016-08-08 @ Sandnes Ulf L 0-5 1453 1412 34.4% 27.4% 38.3% -30.8 35
2016-08-14 KFUM Oslo W 3-0 1423 1412 45.5% 26.8% 27.7% +16.2 38
2016-08-14 @ Sandefjord L 0-3 1412 1423 27.7% 26.8% 45.5% -16.2 22
2016-08-14 Kongsvinger D 1-1 1288 1430 25.4% 26.4% 48.2% +0.9 13
2016-08-14 @ Bryne D 1-1 1430 1288 48.2% 26.4% 25.4% -0.9 31
2016-08-14 Levanger W 3-2 1365 1438 33.8% 27.4% 38.8% +6.8 24
2016-08-14 @ Hodd L 2-3 1438 1365 38.8% 27.4% 33.8% -6.8 35
2016-08-14 Mjondalen L 1-4 1414 1399 46.1% 26.7% 27.2% -20.1 29
2016-08-14 @ Asane W 4-1 1399 1414 27.2% 26.7% 46.1% +20.1 31
2016-08-14 Ranheim W 2-1 1378 1395 41.8% 27.2% 31.0% +6.1 30
2016-08-14 @ Strommen L 1-2 1395 1378 31.0% 27.2% 41.8% -6.1 25
2016-08-14 Raufoss W 4-0 1472 1331 61.2% 22.8% 16.0% +12.7 36
2016-08-14 @ Jerv L 0-4 1331 1472 16.0% 22.8% 61.2% -12.7 15
2016-08-14 Ullensaker Kisa W 5-1 1303 1361 35.9% 27.4% 36.7% +21.8 20
2016-08-14 @ Fredrikstad L 1-5 1361 1303 36.7% 27.4% 35.9% -21.8 19
2016-08-15 Sandnes Ulf L 2-3 1477 1442 48.6% 26.4% 25.1% -8.1 42
2016-08-15 @ Kristiansund W 3-2 1442 1477 25.1% 26.4% 48.6% +8.1 31
2016-08-21 Asane W 1-0 1340 1394 36.5% 27.4% 36.1% +7.2 22
2016-08-21 @ Ullensaker Kisa L 0-1 1394 1340 36.1% 27.4% 36.5% -7.2 29
2016-08-21 Bryne D 1-1 1451 1289 63.4% 21.9% 14.7% -2.1 32
2016-08-21 @ Sandnes Ulf D 1-1 1289 1451 14.7% 21.9% 63.4% +2.1 14
2016-08-21 Fredrikstad D 2-2 1396 1325 53.3% 25.4% 21.4% -1.0 23
2016-08-21 @ KFUM Oslo D 2-2 1325 1396 21.4% 25.4% 53.3% +1.0 21
2016-08-21 Hodd W 2-0 1318 1372 36.6% 27.4% 36.0% +13.6 18
2016-08-21 @ Raufoss L 0-2 1372 1318 36.0% 27.4% 36.6% -13.6 24
2016-08-21 Jerv L 1-2 1431 1484 36.7% 27.4% 35.9% -6.9 35
2016-08-21 @ Levanger W 2-1 1484 1431 35.9% 27.4% 36.7% +6.9 39
2016-08-21 Kristiansund L 0-1 1389 1468 32.9% 27.3% 39.8% -6.8 25
2016-08-21 @ Ranheim W 1-0 1468 1389 39.8% 27.3% 32.9% +6.8 45
2016-08-21 Strommen D 2-2 1429 1384 50.0% 26.1% 23.9% -0.8 32
2016-08-21 @ Kongsvinger D 2-2 1384 1429 23.9% 26.1% 50.0% +0.8 31
2016-08-22 Sandefjord D 2-2 1419 1439 41.3% 27.2% 31.4% -0.3 32
2016-08-22 @ Mjondalen D 2-2 1439 1419 31.4% 27.2% 41.3% +0.3 39
2016-08-24 Asane W 3-2 1326 1386 35.6% 27.4% 37.0% +6.6 24
2016-08-24 @ Fredrikstad L 2-3 1386 1326 37.0% 27.4% 35.6% -6.6 29
2016-08-24 KFUM Oslo W 2-1 1385 1395 42.6% 27.1% 30.2% +6.0 34
2016-08-24 @ Strommen L 1-2 1395 1385 30.2% 27.1% 42.6% -6.0 23
2016-08-24 Kongsvinger L 1-2 1475 1428 50.2% 26.0% 23.7% -8.8 45
2016-08-24 @ Kristiansund W 2-1 1428 1475 23.7% 26.0% 50.2% +8.8 35
2016-08-24 Levanger W 4-3 1291 1425 26.3% 26.6% 47.1% +7.7 17
2016-08-24 @ Bryne L 3-4 1425 1291 47.1% 26.6% 26.3% -7.8 35
2016-08-24 Sandnes Ulf L 0-2 1382 1449 34.7% 27.4% 37.9% -13.2 25
2016-08-24 @ Ranheim W 2-0 1449 1382 37.9% 27.4% 34.7% +13.3 35
2016-08-24 Ullensaker Kisa W 1-0 1491 1347 61.6% 22.7% 15.8% +3.5 42
2016-08-24 @ Jerv L 0-1 1347 1491 15.8% 22.7% 61.6% -3.5 22
2016-08-25 Mjondalen W 2-1 1358 1419 35.6% 27.4% 37.0% +6.9 27
2016-08-25 @ Hodd L 1-2 1419 1358 37.0% 27.4% 35.6% -6.9 32
2016-08-25 Raufoss W 3-1 1439 1332 57.5% 24.1% 18.4% +6.7 42
2016-08-25 @ Sandefjord L 1-3 1332 1439 18.4% 24.1% 57.5% -6.7 18
2016-08-28 Bryne W 3-0 1412 1298 58.2% 23.9% 17.9% +10.9 35
2016-08-28 @ Mjondalen L 0-3 1298 1412 17.9% 23.9% 58.2% -10.9 17
2016-08-28 Hodd W 8-3 1343 1365 41.0% 27.3% 31.7% +18.1 25
2016-08-28 @ Ullensaker Kisa L 3-8 1365 1343 31.7% 27.3% 41.0% -18.1 27
2016-08-28 Kristiansund L 1-3 1417 1466 37.2% 27.4% 35.4% -12.1 35
2016-08-28 @ Levanger W 3-1 1466 1417 35.4% 27.4% 37.2% +12.1 48
2016-08-28 Ranheim W 1-0 1437 1369 52.9% 25.4% 21.7% +4.8 38
2016-08-28 @ Kongsvinger L 0-1 1369 1437 21.7% 25.4% 52.9% -4.8 25
2016-08-28 Sandefjord D 1-1 1380 1446 34.8% 27.4% 37.8% +0.1 30
2016-08-28 @ Asane D 1-1 1446 1380 37.8% 27.4% 34.8% -0.1 43
2016-08-28 Sandnes Ulf L 1-3 1389 1462 33.9% 27.4% 38.7% -11.3 23
2016-08-28 @ KFUM Oslo W 3-1 1462 1389 38.7% 27.4% 33.9% +11.3 38
2016-08-28 Strommen L 4-5 1325 1391 34.9% 27.4% 37.7% -6.1 18
2016-08-28 @ Raufoss W 5-4 1391 1325 37.7% 27.4% 34.9% +6.1 37
2016-08-29 Jerv W 2-1 1333 1495 23.3% 25.9% 50.8% +8.9 27
2016-08-29 @ Fredrikstad L 1-2 1495 1333 50.8% 25.9% 23.3% -8.9 42
2016-09-11 Asane W 2-0 1486 1380 57.3% 24.2% 18.5% +7.8 45
2016-09-11 @ Jerv L 0-2 1380 1486 18.5% 24.2% 57.3% -7.8 30
2016-09-11 KFUM Oslo W 3-2 1478 1378 56.7% 24.4% 18.9% +3.8 51
2016-09-11 @ Kristiansund L 2-3 1378 1478 18.9% 24.4% 56.7% -3.8 23
2016-09-11 Kongsvinger D 1-1 1473 1442 48.2% 26.4% 25.4% -0.9 39
2016-09-11 @ Sandnes Ulf D 1-1 1442 1473 25.4% 26.4% 48.2% +0.9 39
2016-09-11 Levanger W 3-1 1364 1405 38.4% 27.4% 34.2% +11.4 28
2016-09-11 @ Ranheim L 1-3 1405 1364 34.2% 27.4% 38.4% -11.4 35
2016-09-11 Mjondalen D 0-0 1397 1423 40.5% 27.3% 32.2% -0.4 38
2016-09-11 @ Strommen D 0-0 1423 1397 32.2% 27.3% 40.5% +0.3 36
2016-09-11 Raufoss W 2-0 1288 1319 39.7% 27.3% 33.0% +12.8 20
2016-09-11 @ Bryne L 0-2 1319 1288 33.0% 27.3% 39.7% -12.8 18
2016-09-11 Ullensaker Kisa W 1-0 1446 1361 54.8% 24.9% 20.2% +4.5 46
2016-09-11 @ Sandefjord L 0-1 1361 1446 20.2% 24.9% 54.8% -4.5 25
2016-09-12 Fredrikstad D 2-2 1347 1341 44.9% 26.9% 28.2% -0.5 28
2016-09-12 @ Hodd D 2-2 1341 1347 28.2% 26.9% 44.9% +0.5 28
2016-09-18 Bryne W 3-0 1357 1300 51.4% 25.8% 22.8% +13.7 28
2016-09-18 @ Ullensaker Kisa L 0-3 1300 1357 22.8% 25.8% 51.4% -13.7 20
2016-09-18 Hodd D 1-1 1372 1347 47.5% 26.5% 26.0% -0.8 31
2016-09-18 @ Asane D 1-1 1347 1372 26.0% 26.5% 47.5% +0.8 29
2016-09-18 Kongsvinger L 1-2 1374 1443 34.5% 27.4% 38.2% -6.6 23
2016-09-18 @ KFUM Oslo W 2-1 1443 1374 38.2% 27.4% 34.5% +6.6 42
2016-09-18 Kristiansund L 1-2 1306 1482 22.0% 25.5% 52.5% -4.6 18
2016-09-18 @ Raufoss W 2-1 1482 1306 52.5% 25.5% 22.0% +4.6 54
2016-09-18 Ranheim W 6-2 1423 1375 50.3% 26.0% 23.6% +13.1 39
2016-09-18 @ Mjondalen L 2-6 1375 1423 23.6% 26.0% 50.3% -13.1 28
2016-09-18 Sandefjord D 2-2 1494 1450 49.8% 26.1% 24.1% -0.8 46
2016-09-18 @ Jerv D 2-2 1450 1494 24.1% 26.1% 49.8% +0.8 47
2016-09-18 Sandnes Ulf L 0-2 1393 1472 33.1% 27.3% 39.6% -12.8 35
2016-09-18 @ Levanger W 2-0 1472 1393 39.6% 27.3% 33.1% +12.8 42
2016-09-19 Strommen W 2-1 1342 1397 36.4% 27.4% 36.2% +6.8 31
2016-09-19 @ Fredrikstad L 1-2 1397 1342 36.2% 27.4% 36.4% -6.8 38
2016-09-25 Asane W 3-1 1287 1371 32.3% 27.3% 40.5% +12.9 23
2016-09-25 @ Bryne L 1-3 1371 1287 40.5% 27.3% 32.3% -12.9 31
2016-09-25 Jerv L 0-2 1348 1493 25.0% 26.4% 48.6% -10.2 29
2016-09-25 @ Hodd W 2-0 1493 1348 48.6% 26.4% 25.0% +10.2 49
2016-09-25 KFUM Oslo W 2-0 1362 1368 43.3% 27.1% 29.6% +11.7 31
2016-09-25 @ Ranheim L 0-2 1368 1362 29.6% 27.1% 43.3% -11.7 23
2016-09-25 Levanger L 1-2 1449 1381 52.9% 25.4% 21.6% -9.2 42
2016-09-25 @ Kongsvinger W 2-1 1381 1449 21.6% 25.4% 52.9% +9.2 38
2016-09-25 Mjondalen L 0-2 1487 1436 50.7% 25.9% 23.4% -17.8 54
2016-09-25 @ Kristiansund W 2-0 1436 1487 23.4% 25.9% 50.7% +17.8 42
2016-09-25 Raufoss W 3-0 1485 1302 65.6% 21.0% 13.5% +8.0 45
2016-09-25 @ Sandnes Ulf L 0-3 1302 1485 13.5% 21.0% 65.6% -8.0 18
2016-09-25 Ullensaker Kisa W 2-1 1390 1371 46.7% 26.7% 26.7% +5.4 41
2016-09-25 @ Strommen L 1-2 1371 1390 26.7% 26.7% 46.7% -5.4 28
2016-09-27 Fredrikstad W 2-1 1451 1349 56.9% 24.3% 18.8% +3.9 50
2016-09-27 @ Sandefjord L 1-2 1349 1451 18.8% 24.3% 56.9% -3.9 31
2016-10-02 Bryne L 1-3 1503 1300 67.6% 20.0% 12.4% -19.4 49
2016-10-02 @ Jerv W 3-1 1300 1503 12.4% 20.0% 67.6% +19.4 26
2016-10-02 Hodd W 3-0 1455 1337 58.7% 23.7% 17.6% +10.7 53
2016-10-02 @ Sandefjord L 0-3 1337 1455 17.6% 23.7% 58.7% -10.7 29
2016-10-02 KFUM Oslo L 0-3 1390 1356 48.6% 26.4% 25.1% -24.9 38
2016-10-02 @ Levanger W 3-0 1356 1390 25.1% 26.4% 48.6% +24.9 26
2016-10-02 Kongsvinger L 2-4 1294 1440 24.9% 26.3% 48.8% -7.9 18
2016-10-02 @ Raufoss W 4-2 1440 1294 48.8% 26.3% 24.9% +7.9 45
2016-10-02 Ranheim L 1-7 1345 1374 40.1% 27.3% 32.6% -33.8 31
2016-10-02 @ Fredrikstad W 7-1 1374 1345 32.6% 27.3% 40.1% +33.8 34
2016-10-02 Sandnes Ulf W 1-0 1454 1493 38.6% 27.4% 34.0% +6.9 45
2016-10-02 @ Mjondalen L 0-1 1493 1454 34.0% 27.4% 38.6% -6.9 45
2016-10-02 Strommen W 2-0 1358 1395 39.0% 27.4% 33.7% +13.0 34
2016-10-02 @ Asane L 0-2 1395 1358 33.7% 27.4% 39.0% -13.0 41
2016-10-03 Kristiansund L 2-3 1365 1469 29.8% 27.1% 43.1% -5.6 28
2016-10-03 @ Ullensaker Kisa W 3-2 1469 1365 43.1% 27.1% 29.8% +5.6 57
2016-10-16 Asane W 1-0 1365 1371 43.2% 27.1% 29.7% +6.2 41
2016-10-16 @ Levanger L 0-1 1371 1365 29.7% 27.1% 43.2% -6.2 34
2016-10-16 Fredrikstad D 0-0 1475 1311 63.6% 21.8% 14.6% -2.3 58
2016-10-16 @ Kristiansund D 0-0 1311 1475 14.6% 21.8% 63.6% +2.3 32
2016-10-16 Hodd D 0-0 1319 1327 43.0% 27.1% 29.9% -0.6 27
2016-10-16 @ Bryne D 0-0 1327 1319 29.9% 27.1% 43.0% +0.6 30
2016-10-16 Jerv L 0-1 1381 1484 29.9% 27.1% 43.0% -6.3 26
2016-10-16 @ KFUM Oslo W 1-0 1484 1381 43.0% 27.1% 29.9% +6.3 52
2016-10-16 Raufoss W 1-0 1408 1286 59.1% 23.6% 17.3% +3.9 37
2016-10-16 @ Ranheim L 0-1 1286 1408 17.3% 23.6% 59.1% -3.9 18
2016-10-16 Sandefjord L 0-3 1382 1466 32.4% 27.3% 40.3% -18.3 41
2016-10-16 @ Strommen W 3-0 1466 1382 40.3% 27.3% 32.4% +18.3 56
2016-10-16 Ullensaker Kisa W 4-0 1486 1360 59.6% 23.4% 17.0% +13.5 48
2016-10-16 @ Sandnes Ulf L 0-4 1360 1486 17.0% 23.4% 59.6% -13.5 28
2016-10-17 Mjondalen W 3-1 1448 1461 42.3% 27.2% 30.5% +10.4 48
2016-10-17 @ Kongsvinger L 1-3 1461 1448 30.5% 27.2% 42.3% -10.4 45
2016-10-23 Bryne W 1-0 1484 1318 63.8% 21.8% 14.4% +3.2 59
2016-10-23 @ Sandefjord L 0-1 1318 1484 14.4% 21.8% 63.8% -3.2 27
2016-10-23 KFUM Oslo W 2-0 1450 1375 53.8% 25.2% 21.0% +8.8 48
2016-10-23 @ Mjondalen L 0-2 1375 1450 21.0% 25.2% 53.8% -8.8 26
2016-10-23 Kongsvinger D 1-1 1313 1458 25.1% 26.4% 48.6% +0.9 33
2016-10-23 @ Fredrikstad D 1-1 1458 1313 48.6% 26.4% 25.1% -0.9 49
2016-10-23 Kristiansund D 1-1 1490 1472 46.5% 26.7% 26.9% -0.8 53
2016-10-23 @ Jerv D 1-1 1472 1490 26.9% 26.7% 46.5% +0.8 59
2016-10-23 Levanger L 0-6 1282 1371 31.7% 27.3% 41.1% -34.4 18
2016-10-23 @ Raufoss W 6-0 1371 1282 41.1% 27.3% 31.7% +34.4 44
2016-10-23 Ranheim D 2-2 1346 1411 34.9% 27.4% 37.7% +0.1 29
2016-10-23 @ Ullensaker Kisa D 2-2 1411 1346 37.7% 27.4% 34.9% -0.1 38
2016-10-23 Sandnes Ulf W 1-0 1365 1500 26.2% 26.6% 47.2% +8.9 37
2016-10-23 @ Asane L 0-1 1500 1365 47.2% 26.6% 26.2% -8.9 48
2016-10-23 Strommen L 0-3 1327 1364 39.0% 27.4% 33.7% -21.0 30
2016-10-23 @ Hodd W 3-0 1364 1327 33.7% 27.4% 39.0% +21.0 44
2016-10-30 Asane D 1-1 1411 1374 49.0% 26.3% 24.7% -1.0 39
2016-10-30 @ Ranheim D 1-1 1374 1411 24.7% 26.3% 49.0% +1.0 38
2016-10-30 Fredrikstad W 3-1 1315 1314 44.2% 27.0% 28.8% +10.0 30
2016-10-30 @ Bryne L 1-3 1314 1315 28.8% 27.0% 44.2% -9.9 33
2016-10-30 Hodd W 5-0 1491 1306 65.7% 20.9% 13.4% +12.9 51
2016-10-30 @ Sandnes Ulf L 0-5 1306 1491 13.4% 20.9% 65.7% -12.9 30
2016-10-30 Jerv W 2-1 1385 1489 29.8% 27.1% 43.2% +7.8 47
2016-10-30 @ Strommen L 1-2 1489 1385 43.2% 27.1% 29.8% -7.8 53
2016-10-30 Mjondalen D 2-2 1406 1459 36.6% 27.4% 36.0% -0.0 45
2016-10-30 @ Levanger D 2-2 1459 1406 36.0% 27.4% 36.6% +0.0 49
2016-10-30 Raufoss L 0-3 1366 1248 58.7% 23.7% 17.6% -29.1 26
2016-10-30 @ KFUM Oslo W 3-0 1248 1366 17.6% 23.7% 58.7% +29.1 21
2016-10-30 Sandefjord W 3-2 1473 1487 42.1% 27.2% 30.7% +5.7 62
2016-10-30 @ Kristiansund L 2-3 1487 1473 30.7% 27.2% 42.1% -5.7 59
2016-10-30 Ullensaker Kisa L 2-3 1458 1346 58.0% 24.0% 18.1% -9.4 49
2016-10-30 @ Kongsvinger W 3-2 1346 1458 18.1% 24.0% 58.0% +9.4 32

Playoff Game Log

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

Date Opponent Score Pre Elo Opp Elo Win % Tie % Loss % Elo Δ Record
2016-11-05 Kongsvinger L 0-2 1504 1448 51.3% 25.8% 22.9% -17.9 0-1
2016-11-05 @ Sandnes Ulf W 2-0 1448 1504 22.9% 25.8% 51.3% +17.9 1-0
2016-11-19 Mjondalen W 2-1 1481 1459 47.0% 26.6% 26.4% +5.4 1-0
2016-11-19 @ Jerv L 1-2 1459 1481 26.4% 26.6% 47.0% -5.3 0-1
2016-11-26 Kongsvinger W 2-1 1487 1466 46.8% 26.6% 26.5% +5.4 2-0
2016-11-26 @ Jerv L 1-2 1466 1487 26.5% 26.6% 46.8% -5.4 1-1
2016-11-30 Stabaek W 1-0 1492 1558 34.8% 27.4% 37.9% +7.5 3-0
2016-11-30 @ Jerv L 0-1 1558 1492 37.9% 27.4% 34.8% -7.5 0-1
2016-12-04 Jerv W 2-0 1551 1500 50.8% 25.9% 23.3% +9.6 1-1
2016-12-04 @ Stabaek L 0-2 1500 1551 23.3% 25.9% 50.8% -9.6 3-1

Biggest Upsets

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

# Date Underdog Win % Winning Team Losing Team
Team Elo Score Team Elo Score
1 2016-10-02 12.37% Bryne 1300 3 @ Jerv 1503 1
2 2016-10-30 17.58% Raufoss 1248 3 @ KFUM Oslo 1366 0
3 2016-10-30 18.08% Ullensaker Kisa 1346 3 @ Kongsvinger 1458 2
4 2016-06-19 18.76% Fredrikstad 1307 2 @ Kongsvinger 1409 1
5 2016-07-03 20.93% Levanger 1424 2 @ Sandefjord 1501 1
6 2016-05-12 21.02% Strommen 1357 3 @ KFUM Oslo 1433 1
7 2016-06-19 21.49% Mjondalen 1369 1 @ KFUM Oslo 1440 0
8 2016-09-25 21.63% Levanger 1381 2 @ Kongsvinger 1449 1
9 2016-07-31 22.49% Kongsvinger 1410 3 @ Sandefjord 1469 1
10 2016-11-05 * 22.89% Kongsvinger 1448 2 @ Sandnes Ulf 1504 0
11 2016-05-16 23.16% Ranheim 1397 2 @ Levanger 1450 1
12 2016-08-29 23.31% @ Fredrikstad 1333 2 Jerv 1495 1
13 2016-09-25 23.35% Mjondalen 1436 2 @ Kristiansund 1487 0
14 2016-04-10 23.66% Asane 1411 2 @ KFUM Oslo 1458 0
15 2016-08-24 23.73% Kongsvinger 1428 2 @ Kristiansund 1475 1
16 2016-05-01 24.97% Kongsvinger 1391 3 @ Ranheim 1426 0
17 2016-08-15 25.06% Sandnes Ulf 1442 3 @ Kristiansund 1477 2
18 2016-10-02 25.08% KFUM Oslo 1356 3 @ Levanger 1390 0
19 2016-10-23 26.20% @ Asane 1365 1 Sandnes Ulf 1500 0
20 2016-08-24 26.27% @ Bryne 1291 4 Levanger 1425 3
21 2016-08-14 27.17% Mjondalen 1399 4 @ Asane 1414 1
22 2016-05-08 27.92% Asane 1419 2 @ Sandnes Ulf 1427 0
23 2016-05-16 27.97% Jerv 1411 1 @ Sandnes Ulf 1419 0
24 2016-05-08 28.04% Fredrikstad 1318 2 @ Ullensaker Kisa 1326 1
25 2016-04-17 28.30% Ranheim 1423 1 @ Asane 1428 0

Biggest Elo Changes

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

# Date Elo Δ Winning Team Losing Team Tie %
Team Score Elo Win % Team Score Elo Win %
1 2016-04-24 35.33 @ Kongsvinger 5 1356 31.38% Jerv 0 1447 41.39% 27.23%
2 2016-10-23 34.38 Levanger 6 1371 41.07% @ Raufoss 0 1282 31.69% 27.25%
3 2016-10-02 33.76 Ranheim 7 1374 32.63% @ Fredrikstad 1 1345 40.07% 27.31%
4 2016-08-08 30.76 @ Sandnes Ulf 5 1412 38.27% Sandefjord 0 1453 34.36% 27.37%
5 2016-10-30 29.08 Raufoss 3 1248 17.58% @ KFUM Oslo 0 1366 58.70% 23.71%
6 2016-05-22 28.53 @ KFUM Oslo 5 1424 41.69% Levanger 0 1441 31.10% 27.21%
7 2016-04-11 27.37 @ Sandnes Ulf 5 1407 43.45% Mjondalen 0 1412 29.49% 27.06%
8 2016-05-01 24.95 Kongsvinger 3 1391 24.97% @ Ranheim 0 1426 48.71% 26.33%
9 2016-10-02 24.89 KFUM Oslo 3 1356 25.08% @ Levanger 0 1390 48.57% 26.35%
10 2016-07-11 22.50 @ Ranheim 3 1390 30.10% Sandefjord 0 1492 42.78% 27.12%
11 2016-05-16 22.15 @ Ullensaker Kisa 5 1312 35.16% Mjondalen 1 1375 37.44% 27.39%
12 2016-08-14 21.83 @ Fredrikstad 5 1303 35.91% Ullensaker Kisa 1 1361 36.69% 27.40%
13 2016-06-26 21.69 @ Hodd 3 1340 31.94% Asane 0 1427 40.80% 27.27%
14 2016-06-29 21.52 @ Strommen 4 1357 44.74% Raufoss 0 1352 28.34% 26.92%
15 2016-07-03 21.39 @ Ullensaker Kisa 3 1341 32.66% KFUM Oslo 0 1423 40.03% 27.31%
16 2016-10-23 20.97 Strommen 3 1364 33.66% @ Hodd 0 1327 38.98% 27.35%
17 2016-08-14 20.12 Mjondalen 4 1399 27.17% @ Asane 1 1414 46.08% 26.74%
18 2016-05-12 19.77 @ Mjondalen 4 1355 47.97% Fredrikstad 0 1326 25.58% 26.46%
19 2016-10-02 19.36 Bryne 3 1300 12.37% @ Jerv 1 1503 67.59% 20.04%
20 2016-04-22 19.08 @ Bryne 3 1342 38.34% Mjondalen 0 1383 34.29% 27.37%
21 2016-10-16 18.29 Sandefjord 3 1466 40.29% @ Strommen 0 1382 32.42% 27.29%
22 2016-08-28 18.13 @ Ullensaker Kisa 8 1343 41.04% Hodd 3 1365 31.71% 27.25%
23 2016-11-05 * 17.93 Kongsvinger 2 1448 22.89% @ Sandnes Ulf 0 1504 51.30% 25.81%
24 2016-09-25 17.75 Mjondalen 2 1436 23.35% @ Kristiansund 0 1487 50.71% 25.94%
25 2016-04-10 17.65 Asane 2 1411 23.66% @ KFUM Oslo 0 1458 50.32% 26.02%