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2017 First Division Season

240 games · 5 promotion-playoff teams

Final

Promoted

Ranheim

via playoff

Relegated

No relegation

Biggest Overachiever

Bodo Glimt

15.95 points above expected

71 points · 55.05 expected points

Biggest Disappointment

Arendal

14.65 points below expected

21 points · 35.65 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 Bodo Glimt 30 22 5 3 71 83 33 +50 55.05 +15.95
2 Start 30 16 7 7 55 57 36 +21 45.99 +9.01
3 Mjondalen 30 15 7 8 52 56 37 +19 47.03 +4.97
4 Ranheim 30 15 7 8 52 48 39 +9 44.29 +7.71
5 Sandnes Ulf 30 14 9 7 51 44 39 +5 48.70 +2.30
6 Ullensaker Kisa 30 15 3 12 48 61 55 +6 39.59 +8.41
7 Levanger 30 10 12 8 42 39 36 +3 42.79 -0.79
8 Floro 30 10 8 12 38 42 46 -4 41.66 -3.66
9 Tromsdalen 30 9 10 11 37 43 43 0 32.89 +4.11
10 Kongsvinger 30 10 6 14 36 47 46 +1 44.66 -8.66
11 Strommen 30 9 9 12 36 39 47 -8 39.59 -3.59
12 Asane 30 7 12 11 33 38 56 -18 38.05 -5.05
13 Jerv 30 8 8 14 32 44 59 -15 45.23 -13.23
14 Fredrikstad 30 5 11 14 26 33 51 -18 33.38 -7.38
15 Elverum 30 4 12 14 24 29 51 -22 27.84 -3.84
16 Arendal 30 5 6 19 21 33 62 -29 35.65 -14.65

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

Mjondalen 3
Ullensaker Kisa 1
Ranheim 1
Sandnes Ulf 0

Sim: 6.0%

Semifinals

Ranheim 2
Mjondalen 1

Finals

Ranheim 5
Sogndal 5

Leg 1: Sogndal 1-0 Ranheim

Leg 2: Ranheim 5-4 Sogndal

Sim: 2.0%

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
Bodo Glimt 1521 71 55.05 +15.95 99.2% 30 44 50 55 60 66 79
Mjondalen 1418 52 47.03 +4.97 78.2% 21 35 42 47 52 59 72
Start 1401 55 45.99 +9.01 90.9% 22 35 41 46 51 58 70
Ranheim 1385 52 44.29 +7.71 88.1% 20 33 40 44 49 56 71
Sandnes Ulf 1374 51 48.70 +2.30 65.3% 25 37 44 49 53 60 77
Kongsvinger 1373 36 44.66 -8.66 12.4% 14 33 40 45 49 56 69
Levanger 1355 42 42.79 -0.79 48.2% 19 31 38 43 47 54 70
Ullensaker Kisa 1351 48 39.59 +8.41 90.2% 14 28 35 39 44 51 65
Floro 1331 38 41.66 -3.66 32.4% 14 30 37 42 46 53 67
Jerv 1328 32 45.23 -13.23 3.5% 21 34 40 45 50 57 71
Strommen 1317 36 39.59 -3.59 33.1% 17 28 35 40 44 51 69
Tromsdalen 1290 37 32.89 +4.11 75.6% 9 22 28 33 37 44 60
Asane 1282 33 38.05 -5.05 25.3% 13 27 33 38 43 50 74
Fredrikstad 1254 26 33.38 -7.38 15.6% 11 23 29 33 38 45 62
Arendal 1241 21 35.65 -14.65 1.5% 13 25 31 36 40 47 61
Elverum 1211 24 27.84 -3.84 31.1% 6 18 23 28 32 39 55

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 ARE ASA BG ELV FLO FRE JER KON LEV MJO RAN SU STA STR TRO UK
Arendal —
0-1-1
2.53
0-0-2
1.64
0-0-2
3.32
2-0-0
2.38
0-2-0
2.89
1-1-0
2.25
2-0-0
2.12
0-0-2
2.46
0-0-2
2.15
0-0-2
2.17
0-1-1
1.89
0-0-2
1.89
0-0-2
2.58
0-1-1
2.93
0-0-2
2.52
Asane
1-1-0
2.97
 —
0-1-1
1.75
1-1-0
3.37
1-1-0
2.58
0-1-1
3.05
0-2-0
2.32
0-0-2
2.33
1-0-1
2.39
0-1-1
2.12
0-0-2
2.47
1-1-0
2.10
1-0-1
2.14
0-2-0
2.69
0-1-1
3.11
1-0-1
2.68
Bodo Glimt
2-0-0
3.93
1-1-0
3.83
 —
2-0-0
4.32
2-0-0
3.70
2-0-0
3.99
2-0-0
3.52
2-0-0
3.32
0-1-1
3.59
2-0-0
3.20
0-1-1
3.38
0-1-1
3.22
1-1-0
3.35
2-0-0
3.90
2-0-0
4.17
2-0-0
3.69
Elverum
2-0-0
2.21
0-1-1
2.13
0-0-2
1.30
 —
0-1-1
1.82
0-1-1
2.40
0-0-2
1.70
0-1-1
1.76
0-1-1
1.82
0-1-1
1.51
0-2-0
1.68
0-0-2
1.56
1-1-0
1.59
1-1-0
1.87
0-2-0
2.44
0-0-2
2.10
Floro
0-0-2
3.15
0-1-1
2.94
0-0-2
1.86
1-1-0
3.73
 —
2-0-0
3.22
1-1-0
2.47
1-0-1
2.58
0-2-0
2.71
2-0-0
2.43
1-1-0
2.54
1-0-1
2.32
0-0-2
2.59
0-1-1
2.89
0-1-1
3.31
1-0-1
2.88
Fredrikstad
0-2-0
2.60
1-1-0
2.46
0-0-2
1.60
1-1-0
3.09
0-0-2
2.30
 —
0-1-1
1.99
0-1-1
2.02
0-1-1
2.07
0-1-1
1.96
0-0-2
2.06
1-1-0
1.76
1-1-0
2.03
0-1-1
2.38
1-0-1
2.68
0-0-2
2.30
Jerv
0-1-1
3.29
0-2-0
3.19
0-0-2
2.00
2-0-0
3.85
0-1-1
3.03
1-1-0
3.55
 —
0-1-1
2.96
1-1-0
2.90
0-0-2
2.73
0-0-2
2.86
2-0-0
2.41
0-0-2
2.64
0-0-2
3.20
1-1-0
3.52
1-0-1
3.17
Kongsvinger
0-0-2
3.38
2-0-0
3.18
0-0-2
2.18
1-1-0
3.80
1-0-1
2.93
1-1-0
3.50
1-1-0
2.54
 —
0-0-2
2.83
1-0-1
2.46
0-1-1
2.75
1-0-1
2.44
0-0-2
2.93
1-1-0
2.94
0-1-1
3.48
1-0-1
3.15
Levanger
2-0-0
3.07
1-0-1
3.11
1-1-0
1.96
1-1-0
3.74
0-2-0
2.79
1-1-0
3.45
0-1-1
2.60
2-0-0
2.66
 —
0-1-1
2.39
0-1-1
2.71
0-1-1
2.36
0-2-0
2.66
1-0-1
2.92
0-0-2
3.56
1-1-0
2.80
Mjondalen
2-0-0
3.35
1-1-0
3.41
0-0-2
2.30
1-1-0
4.07
0-0-2
3.09
1-1-0
3.59
2-0-0
2.76
1-0-1
3.04
1-1-0
3.12
 —
1-1-0
2.86
0-1-1
2.70
1-0-1
2.78
1-1-0
3.11
1-0-1
3.69
2-0-0
3.17
Ranheim
2-0-0
3.33
2-0-0
3.04
1-1-0
2.14
0-2-0
3.89
0-1-1
2.97
2-0-0
3.46
2-0-0
2.66
1-1-0
2.75
1-1-0
2.78
0-1-1
2.64
 —
0-0-2
2.53
1-0-1
2.57
1-0-1
2.91
1-0-1
3.51
1-0-1
3.20
Sandnes Ulf
1-1-0
3.66
0-1-1
3.42
1-1-0
2.30
2-0-0
4.02
1-0-1
3.18
0-1-1
3.78
0-0-2
3.10
1-0-1
3.07
1-1-0
3.14
1-1-0
2.80
2-0-0
2.96
 —
0-1-1
2.92
2-0-0
3.28
2-0-0
3.69
0-2-0
3.34
Start
2-0-0
3.63
1-0-1
3.36
0-1-1
2.16
0-1-1
4.00
2-0-0
2.91
0-1-1
3.48
2-0-0
2.85
2-0-0
2.58
0-2-0
2.85
1-0-1
2.72
1-0-1
2.94
1-1-0
2.58
 —
1-0-1
3.25
1-1-0
3.55
2-0-0
3.09
Strommen
2-0-0
2.91
0-2-0
2.83
0-0-2
1.66
0-1-1
3.67
1-1-0
2.62
1-1-0
3.13
2-0-0
2.30
0-1-1
2.58
1-0-1
2.57
0-1-1
2.39
1-0-1
2.58
0-0-2
2.23
1-0-1
2.26
 —
0-2-0
3.25
0-0-2
2.64
Tromsdalen
1-1-0
2.58
1-1-0
2.39
0-0-2
1.44
0-2-0
3.07
1-1-0
2.21
1-0-1
2.82
0-1-1
2.00
1-1-0
2.05
2-0-0
1.97
1-0-1
1.84
1-0-1
2.01
0-0-2
1.85
0-1-1
1.99
0-2-0
2.28
 —
0-0-2
2.29
Ullensaker Kisa
2-0-0
3.03
1-0-1
2.82
0-0-2
1.85
2-0-0
3.41
1-0-1
2.62
2-0-0
3.21
1-0-1
2.35
1-0-1
2.37
0-1-1
2.69
0-0-2
2.34
1-0-1
2.31
0-2-0
2.18
0-0-2
2.41
2-0-0
2.85
2-0-0
3.23
 —

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 0.80 +8.9
Allowed 0.61 -11.5
Differential 0.93 +6.5

Scoreline Distribution

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

↓ Scored | Allowed →012345+Total
04.17%6.88%4.17%4.17%1.46%1.25%22.08%
16.88%14.58%6.88%3.54%1.25%1.25%34.38%
24.17%6.88%7.50%3.54%0.62%0.42%23.12%
34.17%3.54%3.54%1.25%0.83%—13.33%
41.46%1.25%0.62%0.83%——4.17%
5+1.25%1.25%0.42%———2.92%
Total22.08%34.38%23.12%13.33%4.17%2.92%100%

Summary Statistics

Scored Allowed Difference
Mean 1.53 1.53 +0.00
SD 1.30 1.30 1.96
CV 0.85 0.85 —
Max 7 7 +6
Min 0 0 -6

Games Played: 240

↓ Scored | Allowed →012345+Total
0—10.00%3.33%10.00%—6.67%30.00%
13.33%13.33%16.67%6.67%——40.00%
23.33%—6.67%6.67%3.33%—20.00%
33.33%—6.67%———10.00%
4———————
5+———————
Total10.00%23.33%33.33%23.33%3.33%6.67%100%

Summary Statistics

Scored Allowed Difference
Mean 1.10 2.07 -0.97
SD 0.96 1.28 1.77
CV 0.87 0.62 —
Max 3 5 +3
Min 0 0 -5

Games Played: 30

↓ Scored | Allowed →012345+Total
03.33%—6.67%10.00%3.33%3.33%26.67%
110.00%16.67%6.67%3.33%——36.67%
2—3.33%16.67%3.33%——23.33%
3——6.67%3.33%——10.00%
43.33%—————3.33%
5+———————
Total16.67%20.00%36.67%20.00%3.33%3.33%100%

Summary Statistics

Scored Allowed Difference
Mean 1.27 1.87 -0.60
SD 1.08 1.33 1.90
CV 0.85 0.71 —
Max 4 6 +4
Min 0 0 -6

Games Played: 30

↓ Scored | Allowed →012345+Total
03.33%——3.33%——6.67%
113.33%6.67%3.33%3.33%——26.67%
2—6.67%3.33%———10.00%
3—6.67%10.00%3.33%——20.00%
410.00%6.67%—3.33%——20.00%
5+10.00%3.33%3.33%———16.67%
Total36.67%30.00%20.00%13.33%——100%

Summary Statistics

Scored Allowed Difference
Mean 2.77 1.10 +1.67
SD 1.74 1.06 2.15
CV 0.63 0.97 —
Max 6 3 +6
Min 0 0 -3

Games Played: 30

↓ Scored | Allowed →012345+Total
06.67%6.67%13.33%6.67%6.67%3.33%43.33%
13.33%26.67%3.33%———33.33%
2—3.33%6.67%3.33%——13.33%
33.33%———3.33%—6.67%
4———————
5+3.33%—————3.33%
Total16.67%36.67%23.33%10.00%10.00%3.33%100%

Summary Statistics

Scored Allowed Difference
Mean 0.97 1.70 -0.73
SD 1.19 1.34 2.00
CV 1.23 0.79 —
Max 5 5 +5
Min 0 0 -5

Games Played: 30

↓ Scored | Allowed →012345+Total
03.33%10.00%6.67%6.67%——26.67%
13.33%23.33%6.67%—6.67%3.33%43.33%
26.67%3.33%————10.00%
3—6.67%————6.67%
4—3.33%3.33%3.33%——10.00%
5+3.33%—————3.33%
Total16.67%46.67%16.67%10.00%6.67%3.33%100%

Summary Statistics

Scored Allowed Difference
Mean 1.40 1.53 -0.13
SD 1.40 1.28 2.05
CV 1.00 0.83 —
Max 5 5 +5
Min 0 0 -4

Games Played: 30

↓ Scored | Allowed →012345+Total
06.67%6.67%3.33%—3.33%3.33%23.33%
1—26.67%13.33%6.67%6.67%—53.33%
2—10.00%3.33%3.33%——16.67%
33.33%—————3.33%
43.33%—————3.33%
5+———————
Total13.33%43.33%20.00%10.00%10.00%3.33%100%

Summary Statistics

Scored Allowed Difference
Mean 1.10 1.70 -0.60
SD 0.92 1.32 1.81
CV 0.84 0.77 —
Max 4 5 +4
Min 0 0 -5

Games Played: 30

↓ Scored | Allowed →012345+Total
0—6.67%3.33%3.33%3.33%—16.67%
13.33%20.00%6.67%6.67%3.33%6.67%46.67%
210.00%—6.67%6.67%——23.33%
33.33%—3.33%———6.67%
4—3.33%————3.33%
5+——3.33%———3.33%
Total16.67%30.00%23.33%16.67%6.67%6.67%100%

Summary Statistics

Scored Allowed Difference
Mean 1.47 1.97 -0.50
SD 1.28 1.69 2.30
CV 0.87 0.86 —
Max 6 7 +4
Min 0 0 -6

Games Played: 30

↓ Scored | Allowed →012345+Total
06.67%16.67%3.33%3.33%——30.00%
1—6.67%6.67%3.33%—3.33%20.00%
23.33%6.67%6.67%10.00%——26.67%
36.67%—10.00%———16.67%
43.33%—————3.33%
5+—3.33%————3.33%
Total20.00%33.33%26.67%16.67%—3.33%100%

Summary Statistics

Scored Allowed Difference
Mean 1.57 1.53 +0.03
SD 1.45 1.20 1.96
CV 0.93 0.78 —
Max 6 5 +5
Min 0 0 -4

Games Played: 30

↓ Scored | Allowed →012345+Total
010.00%10.00%—3.33%——23.33%
16.67%20.00%6.67%3.33%—3.33%40.00%
26.67%3.33%10.00%———20.00%
36.67%6.67%3.33%———16.67%
4———————
5+———————
Total30.00%40.00%20.00%6.67%—3.33%100%

Summary Statistics

Scored Allowed Difference
Mean 1.30 1.20 +0.10
SD 1.02 1.27 1.67
CV 0.79 1.06 —
Max 3 6 +3
Min 0 0 -5

Games Played: 30

↓ Scored | Allowed →012345+Total
0—6.67%———3.33%10.00%
110.00%10.00%10.00%———30.00%
23.33%6.67%13.33%3.33%3.33%—30.00%
316.67%10.00%————26.67%
4———————
5+—3.33%————3.33%
Total30.00%36.67%23.33%3.33%3.33%3.33%100%

Summary Statistics

Scored Allowed Difference
Mean 1.87 1.23 +0.63
SD 1.14 1.22 1.90
CV 0.61 0.99 —
Max 5 5 +4
Min 0 0 -5

Games Played: 30

↓ Scored | Allowed →012345+Total
03.33%6.67%6.67%3.33%——20.00%
116.67%13.33%————30.00%
2—20.00%3.33%3.33%3.33%—30.00%
3—10.00%—3.33%3.33%—16.67%
4———————
5+—3.33%————3.33%
Total20.00%53.33%10.00%10.00%6.67%—100%

Summary Statistics

Scored Allowed Difference
Mean 1.60 1.30 +0.30
SD 1.30 1.12 1.56
CV 0.81 0.86 —
Max 6 4 +5
Min 0 0 -3

Games Played: 30

↓ Scored | Allowed →012345+Total
010.00%—3.33%10.00%3.33%—26.67%
113.33%3.33%3.33%3.33%——23.33%
213.33%3.33%10.00%———26.67%
36.67%3.33%6.67%6.67%——23.33%
4———————
5+———————
Total43.33%10.00%23.33%20.00%3.33%—100%

Summary Statistics

Scored Allowed Difference
Mean 1.47 1.30 +0.17
SD 1.14 1.32 1.82
CV 0.77 1.01 —
Max 3 4 +3
Min 0 0 -4

Games Played: 30

↓ Scored | Allowed →012345+Total
03.33%10.00%————13.33%
1—10.00%6.67%———16.67%
210.00%20.00%10.00%6.67%——46.67%
3—10.00%3.33%———13.33%
43.33%3.33%3.33%———10.00%
5+———————
Total16.67%53.33%23.33%6.67%——100%

Summary Statistics

Scored Allowed Difference
Mean 1.90 1.20 +0.70
SD 1.12 0.81 1.34
CV 0.59 0.67 —
Max 4 3 +4
Min 0 0 -1

Games Played: 30

↓ Scored | Allowed →012345+Total
06.67%6.67%6.67%3.33%3.33%—26.67%
116.67%13.33%6.67%3.33%—3.33%43.33%
2—3.33%10.00%———13.33%
33.33%———6.67%—10.00%
4—3.33%————3.33%
5+—3.33%————3.33%
Total26.67%30.00%23.33%6.67%10.00%3.33%100%

Summary Statistics

Scored Allowed Difference
Mean 1.30 1.57 -0.27
SD 1.26 1.50 1.91
CV 0.97 0.96 —
Max 5 6 +4
Min 0 0 -5

Games Played: 30

↓ Scored | Allowed →012345+Total
0—6.67%6.67%———13.33%
16.67%23.33%10.00%3.33%3.33%—46.67%
23.33%10.00%10.00%6.67%——30.00%
33.33%—3.33%———6.67%
4———————
5+3.33%—————3.33%
Total16.67%40.00%30.00%10.00%3.33%—100%

Summary Statistics

Scored Allowed Difference
Mean 1.43 1.43 +0.00
SD 1.04 1.01 1.58
CV 0.73 0.70 —
Max 5 4 +5
Min 0 0 -3

Games Played: 30

↓ Scored | Allowed →012345+Total
03.33%6.67%3.33%3.33%——16.67%
13.33%—3.33%13.33%——20.00%
26.67%10.00%3.33%3.33%—6.67%30.00%
310.00%3.33%3.33%3.33%——20.00%
4——3.33%6.67%——10.00%
5+—3.33%————3.33%
Total23.33%23.33%16.67%30.00%—6.67%100%

Summary Statistics

Scored Allowed Difference
Mean 2.03 1.83 +0.20
SD 1.54 1.53 2.22
CV 0.76 0.84 —
Max 7 6 +6
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 Bodo Glimt 71 55.05 +15.95
2 Start 55 45.99 +9.01
3 Ullensaker Kisa 48 39.59 +8.41
4 Ranheim 52 44.29 +7.71
5 Mjondalen 52 47.03 +4.97

Biggest Disappointments

# Team Actual Sim vsSim
1 Arendal 21 35.65 -14.65
2 Jerv 32 45.23 -13.23
3 Kongsvinger 36 44.66 -8.66
4 Fredrikstad 26 33.38 -7.38
5 Asane 33 38.05 -5.05

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 Floro 6 Jun 18 – Aug 6 1 in 355
2 Mjondalen 7 Aug 20 – Oct 15 1 in 259
3 Ullensaker Kisa 4 Apr 9 – Apr 30 1 in 40
4 Strommen 3 Apr 23 – May 7 1 in 38
5 Tromsdalen 3 May 28 – Jun 11 1 in 34

Most Unlikely Losing Streaks

# Team Games Dates Probability
1 Jerv 5 Oct 1 – Nov 5 1 in 149
2 Ullensaker Kisa 5 Jun 4 – Jul 2 1 in 58
3 Fredrikstad 5 Sep 24 – Oct 29 1 in 37
4 Floro 4 May 13 – May 28 1 in 31
5 Asane 3 Aug 16 – Sep 3 1 in 25

Most Unlikely Unbeaten Streaks

# Team Games Dates Probability
1 Start 11 Jun 18 – Sep 12 1 in 95
2 Elverum 5 Apr 30 – May 21 1 in 78
3 Bodo Glimt 15 Jun 11 – Oct 1 1 in 54
4 Ranheim 9 Apr 2 – May 21 1 in 43
5 Sandnes Ulf 9 Jul 4 – Sep 10 1 in 31

Most Unlikely Winless Streaks

# Team Games Dates Probability
1 Jerv 10 Apr 2 – May 27 1 in 310
2 Floro 9 Aug 20 – Oct 29 1 in 166
3 Arendal 11 May 21 – Aug 13 1 in 132
4 Kongsvinger 8 Apr 4 – May 16 1 in 58
5 Elverum 15 May 28 – Sep 17 1 in 54

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
Bodo Glimt48.00%19.66%11.50%6.86%4.79%3.31%1.89%1.34%1.12%0.52%0.45%0.31%0.18%0.03%0.04%—
Start7.16%11.24%11.27%11.04%9.44%9.59%8.30%7.34%6.40%5.49%4.20%3.57%2.13%1.64%0.90%0.29%
Mjondalen9.69%13.09%12.37%11.31%9.91%9.34%7.42%6.72%5.46%4.32%3.65%2.71%2.04%1.26%0.48%0.23%
Ranheim4.36%7.13%9.01%10.01%9.54%9.59%9.12%8.23%7.37%7.08%5.69%4.77%3.70%2.46%1.31%0.63%
Sandnes Ulf13.00%16.06%13.90%11.65%10.09%7.89%6.52%5.70%4.74%3.45%2.69%1.99%1.22%0.71%0.32%0.07%
Ullensaker Kisa1.08%2.35%3.33%4.85%5.75%6.64%7.70%8.28%8.89%9.34%10.01%8.91%8.15%6.93%5.24%2.55%
Levanger2.74%5.22%6.54%8.40%8.23%8.43%9.27%9.35%8.49%8.09%7.20%6.15%4.55%3.83%2.42%1.09%
Floro1.92%3.63%5.35%6.30%7.90%8.42%8.48%8.36%9.24%8.56%8.63%7.66%6.15%4.66%3.25%1.49%
Tromsdalen0.08%0.27%0.52%0.88%1.54%1.67%2.42%3.65%4.65%5.94%7.06%9.94%12.98%15.32%18.12%14.96%
Kongsvinger4.95%7.87%8.91%9.63%9.39%9.48%9.14%8.28%7.63%6.69%5.48%4.31%3.76%2.56%1.29%0.63%
Strommen1.06%2.09%3.64%4.42%5.61%6.50%7.52%7.57%8.99%9.40%9.09%9.41%8.97%7.49%5.51%2.73%
Asane0.56%1.49%2.26%2.76%4.20%4.76%5.47%6.94%7.82%9.47%10.64%10.34%10.35%10.20%8.22%4.52%
Jerv5.04%8.99%9.75%9.27%9.53%8.79%9.31%8.59%7.42%6.32%4.97%4.70%3.23%2.18%1.33%0.58%
Fredrikstad0.09%0.31%0.50%0.83%1.32%2.12%2.70%3.77%4.27%5.98%7.94%9.49%12.61%15.36%17.91%14.80%
Elverum0.02%0.04%0.02%0.06%0.26%0.28%0.70%0.88%1.41%1.90%3.14%4.78%7.61%12.26%20.97%45.67%
Arendal0.25%0.56%1.13%1.73%2.50%3.19%4.04%5.00%6.10%7.45%9.16%10.96%12.37%13.11%12.69%9.76%

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
+10.00%
Slight Edge
41.25%27.50%31.25%
Elo Value
Home Edge: 34.86 Elo pts.
146 Elo
0.007 goals per Elo point
0400
Scoring Tilt
Expected
+0.35 goals
Neutral
-2+0.24+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
3.7
Top-Heavy
124610
Champion Preseason Odds
48%
Bodo Glimt, 1st of 16
LongshotFavorite
Title Margin
Expected
0.53/gm
Comfortable
00.160.8/gm

Simulation-Based Surprises

How these are measured

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

Luck Spread
Standard deviation of the gap between each team's actual points and their simulated average points. The gold line is the spread the model expected from chance alone.
As Expected: under 5.49 * Some Luck: 5.49 to 8.23 * Lucky: 8.23 to 10.98 * Wild Swing: 10.98 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 2.25 * Close: 2.25 to 3.38 * Off: 3.38 to 4.51 * Way Off: 4.51 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
8.27 points
Lucky
06.8617
Average Finish Error
Expected
2.31
Close
02.826
Biggest Overachiever
Expected 96.88%
99.23%
Bodo Glimt
50100
Biggest Underachiever
Expected 3.12%
1.47%
Arendal
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
0.17
Even
00.120.180.260.5
Noll-Scully
Coin-flip
1.61
Strong Separation
01.003
Interquartile Edge
62%
Slight Edge
50%60%70%80%100%
Best vs. Worst
Baseline
86%
Strong Edge
50%84%100%
Close Games
Expected
64%
Very Frequent
0%55%100%
Blowouts
Expected
20%
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
0.63
Hard to Predict
00.612
Matchup Imbalance
0.32
Lopsided
00.10.180.280.5
Strangeness
Expected
1.45
Chaotic
01.002
Repeatability
0.41
Some Carryover
00.30.60.851
Upset Rate
Expected
25%
As Expected
0%26%50%
Clear Favorite Upset Rate
Expected
21%
As Expected
0%22%50%

Calibration

How these are measured

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

Probability calibration
An all-in-one chi-square test of the model's probabilities. Matches are grouped by how confident the model was, and within each group the predicted and actual counts of home wins, draws, and away wins are compared. The p-value is plotted; above 0.05 means well-calibrated.
Miscalibrated: under 0.05 * Borderline: 0.05 to 0.1 * Well Calibrated: 0.1 to 0.5 * Excellent: 0.5 and up.
Calibration slope
Checks whether the spread of the probabilities is right. Each probability is turned into log-odds and a line is fit predicting the actual results. A slope of 1.00 is perfect; below 1 is overconfidence (favorites lost more than their odds implied); above 1 is under-confidence.
Overconfident: under 0.85 * Calibrated: 0.85 to 1.15 * Underconfident: 1.15 to 1.3 * Very Underconfident: 1.3 and up.
Calibration error (ECE)
The average gap between the model's stated chances and how often the predicted result actually happened. Smaller is better. The gold line is the noise ceiling, the error luck alone can produce even with perfect probabilities; below it, the model's error is no larger than chance.
Well Within Noise: under 0.1 * Near Noise Ceiling: 0.1 to 0.15 * Above Noise: 0.15 to 0.21 * Well Above Noise: 0.21 and up.
Probability calibration
0.22
Well Calibrated
0.010.050.10.51
Calibration slope
Ideal
1.21
Underconfident
0.51.001.5
Calibration error (ECE)
Noise ceiling
0.076
Well Within Noise
00.1030.25

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 Qualified for relegation playoff Direct relegation
Bodo Glimt 67.66% 26.46% 5.81% 0.03% 0.04%
Start 18.40% 41.34% 37.43% 1.64% 1.19%
Jerv 14.03% 37.34% 44.54% 2.18% 1.91%
Kongsvinger 12.82% 37.41% 45.29% 2.56% 1.92%
Levanger 7.96% 31.60% 53.10% 3.83% 3.51%
Floro 5.55% 27.97% 57.08% 4.66% 4.74%
Mjondalen — 100% — — —
Ranheim — 100% — — —
Sandnes Ulf — 100% — — —
Ullensaker Kisa — 100% — — —
Strommen 3.15% 20.17% 60.95% 7.49% 8.24%
Asane 2.05% 13.98% 61.03% 10.20% 12.74%
Arendal 0.81% 8.55% 55.08% 13.11% 22.45%
Fredrikstad 0.40% 4.77% 46.76% 15.36% 32.71%
Tromsdalen 0.35% 4.61% 46.64% 15.32% 33.08%
Elverum 0.06% 0.62% 20.42% 12.26% 66.64%
Loser →
↓ Winner
AalesundArendalAsaneBodo GlimtBrannFloroFredrikstadHaugesundJervKongsvingerKristiansundLevangerLillestromMjondalenMoldeOddsRanheimSandefjordSandnes UlfSarpsborg 08SogndalStabaekStartStrommenStromsgodsetTromsdalenTromsoUllensaker KisaValerengaViking
Aalesund
Arendal100.0%1.00%0.0%1.00%100.0%1.00%
Asane100.0%1.00%100.0%2.00%0.0%2.00%0.0%1.00%75.0%4.00%0.0%2.00%100.0%1.00%
Bodo Glimt25.0%4.00%50.0%4.00%100.0%1.00%0.0%1.00%50.0%2.00%66.7%3.00%75.0%4.00%0.0%1.00%100.0%1.00%
Brann
Floro0.0%1.00%0.0%1.00%75.0%4.00%100.0%2.00%100.0%2.00%0.0%1.00%75.0%4.00%20.0%5.00%0.0%3.00%100.0%2.00%100.0%2.00%50.0%2.00%
Fredrikstad0.0%1.00%50.0%2.00%0.0%1.00%
Haugesund
Jerv100.0%1.00%0.0%2.00%50.0%4.00%0.0%2.00%100.0%1.00%100.0%2.00%60.0%5.00%33.3%3.00%60.0%5.00%25.0%4.00%20.0%10.00%100.0%1.00%50.0%2.00%66.7%3.00%
Kongsvinger0.0%1.00%0.0%2.00%50.0%2.00%0.0%2.00%60.0%5.00%33.3%3.00%33.3%9.00%25.0%4.00%40.0%5.00%0.0%2.00%
Kristiansund
Levanger100.0%2.00%100.0%1.00%100.0%1.00%40.0%5.00%40.0%5.00%100.0%1.00%0.0%1.00%100.0%5.00%100.0%3.00%33.3%3.00%100.0%1.00%0.0%1.00%
Lillestrom
Mjondalen100.0%1.00%50.0%2.00%100.0%1.00%66.7%3.00%66.7%3.00%0.0%1.00%70.0%10.00%50.0%2.00%85.7%7.00%100.0%2.00%0.0%1.00%
Molde
Odds
Ranheim25.0%4.00%33.3%3.00%25.0%4.00%40.0%5.00%66.7%9.00%100.0%1.00%30.0%10.00%66.7%9.00%50.0%2.00%100.0%1.00%
Sandefjord
Sandnes Ulf100.0%2.00%80.0%5.00%75.0%4.00%75.0%4.00%0.0%5.00%50.0%2.00%33.3%9.00%42.9%7.00%80.0%5.00%25.0%4.00%
Sarpsborg 08
Sogndal
Stabaek
Start0.0%1.00%0.0%1.00%25.0%4.00%100.0%3.00%80.0%10.00%60.0%5.00%0.0%3.00%14.3%7.00%57.1%7.00%100.0%1.00%100.0%2.00%100.0%3.00%
Strommen100.0%1.00%0.0%2.00%0.0%1.00%66.7%3.00%0.0%2.00%50.0%2.00%20.0%5.00%0.0%1.00%0.0%2.00%
Stromsgodset
Tromsdalen0.0%1.00%0.0%2.00%50.0%2.00%0.0%1.00%0.0%2.00%
Tromso
Ullensaker Kisa50.0%2.00%33.3%3.00%100.0%2.00%100.0%1.00%100.0%1.00%0.0%1.00%75.0%4.00%0.0%3.00%100.0%2.00%
Valerenga
Viking
Loser →
↓ Winner
AalesundArendalAsaneBodo GlimtBrannFloroFredrikstadHaugesundJervKongsvingerKristiansundLevangerLillestromMjondalenMoldeOddsRanheimSandefjordSandnes UlfSarpsborg 08SogndalStabaekStartStrommenStromsgodsetTromsdalenTromsoUllensaker KisaValerengaViking
Aalesund
Arendal0.0%1.00%100.0%1.00%
Asane0.0%2.00%0.0%1.00%100.0%1.00%50.0%2.00%100.0%1.00%
Bodo Glimt100.0%2.00%100.0%2.00%100.0%2.00%0.0%1.00%100.0%1.00%50.0%2.00%100.0%1.00%
Brann
Floro100.0%2.00%100.0%2.00%50.0%2.00%75.0%4.00%0.0%3.00%66.7%3.00%
Fredrikstad0.0%1.00%
Haugesund
Jerv0.0%2.00%0.0%2.00%0.0%2.00%33.3%3.00%33.3%3.00%66.7%3.00%0.0%2.00%33.3%3.00%
Kongsvinger100.0%1.00%100.0%1.00%100.0%1.00%50.0%2.00%100.0%1.00%100.0%4.00%100.0%1.00%
Kristiansund
Levanger0.0%1.00%0.0%2.00%100.0%1.00%100.0%2.00%0.0%1.00%50.0%2.00%0.0%3.00%75.0%4.00%0.0%2.00%100.0%1.00%
Lillestrom
Mjondalen0.0%2.00%50.0%2.00%66.7%3.00%50.0%2.00%50.0%2.00%100.0%1.00%66.7%6.00%50.0%2.00%66.7%3.00%
Molde
Odds
Ranheim100.0%1.00%25.0%4.00%66.7%3.00%100.0%3.00%0.0%1.00%100.0%1.00%55.6%9.00%0.0%1.00%
Sandefjord
Sandnes Ulf0.0%1.00%50.0%2.00%0.0%1.00%100.0%3.00%33.3%3.00%0.0%1.00%25.0%4.00%33.3%6.00%0.0%1.00%0.0%1.00%0.0%1.00%
Sarpsborg 08
Sogndal
Stabaek
Start50.0%2.00%33.3%3.00%0.0%4.00%100.0%2.00%50.0%2.00%44.4%9.00%100.0%1.00%100.0%2.00%0.0%1.00%
Strommen100.0%2.00%100.0%1.00%0.0%2.00%
Stromsgodset
Tromsdalen0.0%1.00%
Tromso
Ullensaker Kisa0.0%1.00%0.0%1.00%66.7%3.00%0.0%1.00%33.3%3.00%100.0%1.00%100.0%1.00%
Valerenga
Viking
Loser →
↓ Winner
AalesundArendalAsaneBodo GlimtBrannFloroFredrikstadHaugesundJervKongsvingerKristiansundLevangerLillestromMjondalenMoldeOddsRanheimSandefjordSandnes UlfSarpsborg 08SogndalStabaekStartStrommenStromsgodsetTromsdalenTromsoUllensaker KisaValerengaViking
Aalesund100.0%1.00%100.0%1.00%100.0%2.00%0.0%1.00%
Arendal0.0%1.00%
Asane0.0%1.00%100.0%1.00%0.0%1.00%
Bodo Glimt50.0%2.00%0.0%2.00%50.0%2.00%50.0%2.00%0.0%1.00%
Brann100.0%1.00%100.0%1.00%
Floro0.0%1.00%0.0%2.00%0.0%1.00%0.0%1.00%0.0%1.00%0.0%2.00%0.0%1.00%0.0%1.00%
Fredrikstad
Haugesund100.0%1.00%0.0%1.00%100.0%1.00%100.0%1.00%0.0%1.00%0.0%1.00%
Jerv0.0%1.00%0.0%1.00%100.0%1.00%100.0%1.00%0.0%1.00%
Kongsvinger0.0%1.00%100.0%1.00%100.0%1.00%0.0%1.00%0.0%1.00%33.3%3.00%0.0%1.00%0.0%1.00%
Kristiansund100.0%1.00%50.0%2.00%100.0%2.00%100.0%1.00%0.0%1.00%0.0%1.00%100.0%2.00%100.0%1.00%100.0%2.00%100.0%1.00%
Levanger0.0%1.00%0.0%1.00%100.0%1.00%50.0%2.00%0.0%1.00%50.0%2.00%
Lillestrom100.0%1.00%100.0%1.00%100.0%1.00%100.0%1.00%0.0%1.00%100.0%1.00%100.0%1.00%
Mjondalen0.0%2.00%0.0%1.00%0.0%1.00%100.0%1.00%33.3%3.00%0.0%1.00%0.0%1.00%50.0%2.00%0.0%1.00%
Molde100.0%1.00%
Odds100.0%1.00%0.0%1.00%100.0%1.00%
Ranheim0.0%1.00%0.0%1.00%100.0%1.00%33.3%3.00%0.0%1.00%100.0%2.00%0.0%1.00%0.0%1.00%0.0%1.00%0.0%1.00%
Sandefjord100.0%1.00%0.0%1.00%100.0%2.00%100.0%1.00%50.0%2.00%66.7%3.00%66.7%3.00%100.0%1.00%100.0%1.00%
Sandnes Ulf0.0%2.00%0.0%1.00%0.0%1.00%0.0%1.00%100.0%1.00%100.0%1.00%0.0%1.00%
Sarpsborg 0850.0%2.00%100.0%1.00%100.0%1.00%0.0%1.00%100.0%1.00%
Sogndal50.0%2.00%100.0%2.00%0.0%1.00%100.0%1.00%100.0%1.00%0.0%2.00%0.0%1.00%100.0%1.00%
Stabaek0.0%1.00%66.7%3.00%0.0%1.00%100.0%1.00%0.0%1.00%
Start100.0%1.00%0.0%1.00%100.0%1.00%0.0%2.00%0.0%1.00%100.0%1.00%0.0%1.00%0.0%1.00%50.0%2.00%100.0%1.00%
Strommen0.0%1.00%0.0%1.00%0.0%1.00%
Stromsgodset100.0%1.00%100.0%1.00%100.0%1.00%50.0%2.00%
Tromsdalen
Tromso100.0%1.00%100.0%1.00%100.0%1.00%100.0%1.00%50.0%2.00%100.0%1.00%100.0%1.00%
Ullensaker Kisa100.0%1.00%0.0%1.00%0.0%1.00%100.0%1.00%100.0%1.00%
Valerenga100.0%1.00%
Viking100.0%1.00%100.0%1.00%100.0%1.00%50.0%2.00%100.0%1.00%100.0%1.00%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
Sogndal — — 62.84%
Mjondalen 67.93% 44.79% 18.06%
Ranheim 59.92% 21.76% 8.01%
Ullensaker Kisa 32.07% 19.19% 6.42%
Sandnes Ulf 40.08% 14.26% 4.67%
Loser →
↓ Winner
MjondalenRanheimSandnes UlfSogndalUllensaker Kisa
Mjondalen67.9%100.00%
Ranheim59.9%100.00%
Sandnes Ulf40.1%100.00%
Sogndal
Ullensaker Kisa32.1%100.00%
Loser →
↓ Winner
MjondalenRanheimSandnes UlfSogndalUllensaker Kisa
Mjondalen65.6%40.50%66.5%27.43%
Ranheim34.4%40.50%40.3%19.42%
Sandnes Ulf33.5%27.43%40.0%12.65%
Sogndal
Ullensaker Kisa59.7%19.42%60.0%12.65%
Loser →
↓ Winner
MjondalenRanheimSandnes UlfSogndalUllensaker Kisa
Mjondalen40.3%44.79%
Ranheim36.8%21.76%
Sandnes Ulf32.7%14.26%
Sogndal59.7%44.79%63.2%21.76%67.3%14.26%66.5%19.19%
Ullensaker Kisa33.5%19.19%

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
2017-04-02 Arendal W 2-1 1374 1344 52.3% 24.1% 23.6% +3.3 3
2017-04-02 @ Mjondalen L 1-2 1344 1374 23.6% 24.1% 52.3% -3.3 0
2017-04-02 Asane W 2-0 1254 1326 38.3% 26.1% 35.7% +9.3 3
2017-04-02 @ Tromsdalen L 0-2 1326 1254 35.7% 26.1% 38.3% -9.3 0
2017-04-02 Elverum W 2-0 1394 1238 67.0% 18.6% 14.3% +3.9 3
2017-04-02 @ Sandnes Ulf L 0-2 1238 1394 14.3% 18.6% 67.0% -3.9 0
2017-04-02 Fredrikstad D 2-2 1330 1283 54.4% 23.5% 22.1% -0.7 1
2017-04-02 @ Start D 2-2 1283 1330 22.1% 23.5% 54.4% +0.7 1
2017-04-02 Jerv D 1-1 1344 1396 41.0% 25.9% 33.0% -0.2 1
2017-04-02 @ Floro D 1-1 1396 1344 33.0% 25.9% 41.0% +0.2 1
2017-04-02 Levanger D 2-2 1314 1345 44.1% 25.7% 30.2% -0.3 1
2017-04-02 @ Ullensaker Kisa D 2-2 1345 1314 30.2% 25.7% 44.1% +0.3 1
2017-04-02 Strommen W 1-0 1348 1337 49.7% 24.7% 25.5% +3.8 3
2017-04-02 @ Ranheim L 0-1 1337 1348 25.5% 24.7% 49.7% -3.8 0
2017-04-04 Kongsvinger W 3-2 1423 1379 54.0% 23.6% 22.3% +3.0 3
2017-04-04 @ Bodo Glimt L 2-3 1379 1423 22.3% 23.6% 54.0% -3.0 0
2017-04-09 Bodo Glimt D 1-1 1317 1426 33.1% 25.9% 40.9% +0.2 1
2017-04-09 @ Asane D 1-1 1426 1317 40.9% 25.9% 33.1% -0.2 4
2017-04-09 Floro D 1-1 1333 1344 46.9% 25.3% 27.9% -0.5 1
2017-04-09 @ Strommen D 1-1 1344 1333 27.9% 25.3% 46.9% +0.5 2
2017-04-09 Ranheim L 1-2 1397 1352 54.2% 23.6% 22.2% -6.5 1
2017-04-09 @ Jerv W 2-1 1352 1397 22.2% 23.6% 54.2% +6.5 6
2017-04-09 Sandnes Ulf L 0-1 1345 1398 41.0% 25.9% 33.0% -5.5 1
2017-04-09 @ Levanger W 1-0 1398 1345 33.0% 25.9% 41.0% +5.5 6
2017-04-09 Start L 0-2 1376 1329 54.3% 23.6% 22.1% -13.0 0
2017-04-09 @ Kongsvinger W 2-0 1329 1376 22.1% 23.6% 54.3% +13.0 4
2017-04-09 Tromsdalen D 1-1 1234 1264 44.3% 25.6% 30.1% -0.4 1
2017-04-09 @ Elverum D 1-1 1264 1234 30.1% 25.6% 44.3% +0.4 4
2017-04-09 Ullensaker Kisa L 1-2 1341 1314 51.8% 24.2% 23.9% -6.2 0
2017-04-09 @ Arendal W 2-1 1314 1341 23.9% 24.2% 51.8% +6.2 4
2017-04-11 Mjondalen D 1-1 1284 1378 35.1% 26.1% 38.8% +0.1 2
2017-04-11 @ Fredrikstad D 1-1 1378 1284 38.8% 26.1% 35.1% -0.1 4
2017-04-17 Arendal W 2-1 1358 1334 51.4% 24.3% 24.2% +3.4 9
2017-04-17 @ Ranheim L 1-2 1334 1358 24.2% 24.3% 51.4% -3.4 0
2017-04-17 Asane W 4-0 1342 1317 51.6% 24.3% 24.1% +12.8 7
2017-04-17 @ Start L 0-4 1317 1342 24.1% 24.3% 51.6% -12.8 1
2017-04-17 Elverum W 5-0 1425 1234 70.8% 16.8% 12.4% +7.7 7
2017-04-17 @ Bodo Glimt L 0-5 1234 1425 12.4% 16.8% 70.8% -7.7 1
2017-04-17 Fredrikstad D 0-0 1403 1284 63.1% 20.4% 16.5% -1.5 7
2017-04-17 @ Sandnes Ulf D 0-0 1284 1403 16.5% 20.4% 63.1% +1.5 3
2017-04-17 Kongsvinger D 2-2 1264 1363 34.5% 26.0% 39.5% +0.1 5
2017-04-17 @ Tromsdalen D 2-2 1363 1264 39.5% 26.0% 34.5% -0.1 1
2017-04-17 Levanger D 0-0 1344 1340 48.9% 24.9% 26.2% -0.7 3
2017-04-17 @ Floro D 0-0 1340 1344 26.2% 24.9% 48.9% +0.7 2
2017-04-17 Strommen W 2-0 1320 1333 46.6% 25.3% 28.1% +7.7 7
2017-04-17 @ Ullensaker Kisa L 0-2 1333 1320 28.1% 25.3% 46.6% -7.7 1
2017-04-18 Jerv W 3-0 1378 1390 46.6% 25.3% 28.1% +11.2 7
2017-04-18 @ Mjondalen L 0-3 1390 1378 28.1% 25.3% 46.6% -11.2 1
2017-04-22 Ranheim D 0-0 1363 1361 48.4% 25.0% 26.6% -0.7 2
2017-04-22 @ Kongsvinger D 0-0 1361 1363 26.6% 25.0% 48.4% +0.7 10
2017-04-23 Bodo Glimt L 0-1 1285 1433 28.3% 25.4% 46.4% -4.1 3
2017-04-23 @ Fredrikstad W 1-0 1433 1285 46.4% 25.4% 28.3% +4.1 10
2017-04-23 Floro W 2-0 1331 1344 46.6% 25.3% 28.1% +7.7 3
2017-04-23 @ Arendal L 0-2 1344 1331 28.1% 25.3% 46.6% -7.7 3
2017-04-23 Mjondalen D 1-1 1340 1389 41.6% 25.9% 32.5% -0.2 3
2017-04-23 @ Levanger D 1-1 1389 1340 32.5% 25.9% 41.6% +0.2 8
2017-04-23 Sandnes Ulf W 4-0 1304 1402 34.6% 26.0% 39.3% +19.1 4
2017-04-23 @ Asane L 0-4 1402 1304 39.3% 26.0% 34.6% -19.1 7
2017-04-23 Start L 1-2 1264 1355 35.6% 26.1% 38.4% -4.7 5
2017-04-23 @ Tromsdalen W 2-1 1355 1264 38.4% 26.1% 35.6% +4.7 10
2017-04-23 Strommen L 0-1 1379 1325 55.3% 23.3% 21.4% -7.0 1
2017-04-23 @ Jerv W 1-0 1325 1379 21.4% 23.3% 55.3% +7.0 4
2017-04-23 Ullensaker Kisa L 0-3 1226 1328 34.1% 26.0% 40.0% -13.1 1
2017-04-23 @ Elverum W 3-0 1328 1226 40.0% 26.0% 34.1% +13.1 10
2017-04-30 Arendal W 1-0 1332 1339 47.4% 25.2% 27.5% +4.0 7
2017-04-30 @ Strommen L 0-1 1339 1332 27.5% 25.2% 47.4% -4.0 3
2017-04-30 Asane W 2-1 1362 1323 53.4% 23.8% 22.8% +3.2 13
2017-04-30 @ Ranheim L 1-2 1323 1362 22.8% 23.8% 53.4% -3.2 4
2017-04-30 Elverum D 1-1 1336 1213 63.5% 20.2% 16.3% -1.4 4
2017-04-30 @ Floro D 1-1 1213 1336 16.3% 20.2% 63.5% +1.4 2
2017-04-30 Fredrikstad W 2-1 1341 1281 56.0% 23.0% 20.9% +3.0 13
2017-04-30 @ Ullensaker Kisa L 1-2 1281 1341 20.9% 23.0% 56.0% -3.0 3
2017-04-30 Kongsvinger W 5-1 1389 1362 51.9% 24.2% 23.9% +10.6 11
2017-04-30 @ Mjondalen L 1-5 1362 1389 23.9% 24.2% 51.9% -10.6 2
2017-04-30 Levanger D 2-2 1372 1340 52.5% 24.1% 23.4% -0.6 2
2017-04-30 @ Jerv D 2-2 1340 1372 23.4% 24.1% 52.5% +0.6 4
2017-04-30 Tromsdalen W 2-0 1383 1259 63.5% 20.2% 16.3% +4.5 10
2017-04-30 @ Sandnes Ulf L 0-2 1259 1383 16.3% 20.2% 63.5% -4.5 5
2017-05-02 Start W 3-2 1437 1360 58.2% 22.3% 19.5% +2.6 13
2017-05-02 @ Bodo Glimt L 2-3 1360 1437 19.5% 22.3% 58.2% -2.6 10
2017-05-06 Jerv D 1-1 1335 1371 43.3% 25.8% 31.0% -0.3 4
2017-05-06 @ Arendal D 1-1 1371 1335 31.0% 25.8% 43.3% +0.3 3
2017-05-07 Bodo Glimt L 2-3 1255 1440 24.3% 24.4% 51.3% -3.2 5
2017-05-07 @ Tromsdalen W 3-2 1440 1255 51.3% 24.4% 24.3% +3.2 16
2017-05-07 Floro L 1-2 1278 1335 40.5% 26.0% 33.5% -5.1 3
2017-05-07 @ Fredrikstad W 2-1 1335 1278 33.5% 26.0% 40.5% +5.1 7
2017-05-07 Mjondalen D 2-2 1320 1400 37.2% 26.1% 36.8% -0.0 5
2017-05-07 @ Asane D 2-2 1400 1320 36.8% 26.1% 37.2% +0.0 12
2017-05-07 Ranheim D 1-1 1214 1365 27.9% 25.3% 46.8% +0.5 3
2017-05-07 @ Elverum D 1-1 1365 1214 46.8% 25.3% 27.9% -0.5 14
2017-05-07 Strommen L 0-1 1341 1336 48.9% 24.9% 26.2% -6.3 4
2017-05-07 @ Levanger W 1-0 1336 1341 26.2% 24.9% 48.9% +6.3 10
2017-05-07 Ullensaker Kisa W 3-1 1357 1344 50.0% 24.7% 25.3% +6.1 13
2017-05-07 @ Start L 1-3 1344 1357 25.3% 24.7% 50.0% -6.1 13
2017-05-09 Sandnes Ulf L 2-3 1351 1387 43.4% 25.7% 30.9% -5.1 2
2017-05-09 @ Kongsvinger W 3-2 1387 1351 30.9% 25.7% 43.4% +5.1 13
2017-05-13 Asane L 2-3 1338 1320 50.6% 24.5% 24.8% -5.8 13
2017-05-13 @ Ullensaker Kisa W 3-2 1320 1338 24.8% 24.5% 50.6% +5.8 8
2017-05-13 Bodo Glimt W 3-0 1392 1443 41.3% 25.9% 32.8% +12.7 16
2017-05-13 @ Sandnes Ulf L 0-3 1443 1392 32.8% 25.9% 41.3% -12.7 16
2017-05-13 Elverum D 2-2 1400 1215 70.1% 17.2% 12.8% -1.3 13
2017-05-13 @ Mjondalen D 2-2 1215 1400 12.8% 17.2% 70.1% +1.3 4
2017-05-13 Fredrikstad W 1-0 1365 1273 59.9% 21.7% 18.4% +2.7 17
2017-05-13 @ Ranheim L 0-1 1273 1365 18.4% 21.7% 59.9% -2.8 3
2017-05-13 Kongsvinger D 2-2 1372 1346 51.7% 24.3% 24.1% -0.6 4
2017-05-13 @ Jerv D 2-2 1346 1372 24.1% 24.3% 51.7% +0.6 3
2017-05-13 Levanger L 0-3 1334 1334 48.3% 25.0% 26.7% -17.1 4
2017-05-13 @ Arendal W 3-0 1334 1334 26.7% 25.0% 48.3% +17.1 7
2017-05-13 Start L 1-4 1340 1363 45.1% 25.5% 29.4% -13.7 7
2017-05-13 @ Floro W 4-1 1363 1340 29.4% 25.5% 45.1% +13.7 16
2017-05-13 Tromsdalen D 1-1 1342 1252 59.7% 21.8% 18.5% -1.2 11
2017-05-13 @ Strommen D 1-1 1252 1342 18.5% 21.8% 59.7% +1.2 6
2017-05-16 Arendal L 2-3 1347 1317 52.2% 24.2% 23.7% -6.0 3
2017-05-16 @ Kongsvinger W 3-2 1317 1347 23.7% 24.2% 52.2% +6.0 7
2017-05-16 Floro W 1-0 1326 1326 48.3% 25.0% 26.7% +3.9 11
2017-05-16 @ Asane L 0-1 1326 1326 26.7% 25.0% 48.3% -3.9 7
2017-05-16 Jerv D 1-1 1270 1371 34.2% 26.0% 39.8% +0.2 4
2017-05-16 @ Fredrikstad D 1-1 1371 1270 39.8% 26.0% 34.2% -0.2 5
2017-05-16 Mjondalen W 2-1 1253 1398 28.6% 25.4% 46.0% +5.7 9
2017-05-16 @ Tromsdalen L 1-2 1398 1253 46.0% 25.4% 28.6% -5.7 13
2017-05-16 Ranheim D 1-1 1352 1368 46.1% 25.4% 28.5% -0.5 8
2017-05-16 @ Levanger D 1-1 1368 1352 28.5% 25.4% 46.1% +0.5 18
2017-05-16 Sandnes Ulf W 2-1 1377 1405 44.5% 25.6% 29.9% +4.1 19
2017-05-16 @ Start L 1-2 1405 1377 29.9% 25.6% 44.5% -4.1 16
2017-05-16 Strommen W 2-1 1216 1341 31.0% 25.8% 43.2% +5.4 7
2017-05-16 @ Elverum L 1-2 1341 1216 43.2% 25.8% 31.0% -5.4 11
2017-05-16 Ullensaker Kisa W 3-1 1430 1332 60.6% 21.4% 18.0% +4.4 19
2017-05-16 @ Bodo Glimt L 1-3 1332 1430 18.0% 21.4% 60.6% -4.4 13
2017-05-19 Sandnes Ulf D 2-2 1393 1401 47.2% 25.2% 27.6% -0.4 14
2017-05-19 @ Mjondalen D 2-2 1401 1393 27.6% 25.2% 47.2% +0.4 17
2017-05-21 Asane D 1-1 1371 1330 53.7% 23.8% 22.6% -0.9 6
2017-05-21 @ Jerv D 1-1 1330 1371 22.6% 23.8% 53.7% +0.9 12
2017-05-21 Bodo Glimt L 1-2 1322 1435 32.6% 25.9% 41.5% -4.4 7
2017-05-21 @ Floro W 2-1 1435 1322 41.5% 25.9% 32.6% +4.4 22
2017-05-21 Elverum L 0-3 1323 1221 61.0% 21.2% 17.7% -20.7 7
2017-05-21 @ Arendal W 3-0 1221 1323 17.7% 21.2% 61.0% +20.7 10
2017-05-21 Fredrikstad W 3-1 1351 1270 58.5% 22.2% 19.3% +4.7 11
2017-05-21 @ Levanger L 1-3 1270 1351 19.3% 22.2% 58.5% -4.7 4
2017-05-21 Kongsvinger L 0-4 1336 1341 47.6% 25.1% 27.3% -22.1 11
2017-05-21 @ Strommen W 4-0 1341 1336 27.3% 25.1% 47.6% +22.1 6
2017-05-21 Start W 1-0 1368 1381 46.6% 25.3% 28.1% +4.1 21
2017-05-21 @ Ranheim L 0-1 1381 1368 28.1% 25.3% 46.6% -4.1 19
2017-05-21 Tromsdalen W 1-0 1328 1259 57.1% 22.7% 20.2% +3.0 16
2017-05-21 @ Ullensaker Kisa L 0-1 1259 1328 20.2% 22.7% 57.1% -3.0 9
2017-05-27 Jerv W 3-2 1377 1370 49.2% 24.8% 26.0% +3.4 22
2017-05-27 @ Start L 2-3 1370 1377 26.0% 24.8% 49.2% -3.4 6
2017-05-28 Arendal D 1-1 1266 1303 43.2% 25.8% 31.0% -0.3 5
2017-05-28 @ Fredrikstad D 1-1 1303 1266 31.0% 25.8% 43.2% +0.3 8
2017-05-28 Floro W 2-1 1363 1318 54.2% 23.6% 22.2% +3.1 9
2017-05-28 @ Kongsvinger L 1-2 1318 1363 22.2% 23.6% 54.2% -3.1 7
2017-05-28 Levanger L 0-2 1242 1356 32.5% 25.9% 41.6% -8.7 10
2017-05-28 @ Elverum W 2-0 1356 1242 41.6% 25.9% 32.5% +8.7 14
2017-05-28 Mjondalen W 1-0 1439 1392 54.4% 23.5% 22.1% +3.3 25
2017-05-28 @ Bodo Glimt L 0-1 1392 1439 22.1% 23.5% 54.4% -3.3 14
2017-05-28 Ranheim W 3-2 1256 1372 32.1% 25.9% 42.0% +5.0 12
2017-05-28 @ Tromsdalen L 2-3 1372 1256 42.0% 25.9% 32.1% -5.0 21
2017-05-28 Strommen D 2-2 1331 1314 50.6% 24.5% 24.9% -0.5 13
2017-05-28 @ Asane D 2-2 1314 1331 24.9% 24.5% 50.6% +0.5 12
2017-05-28 Ullensaker Kisa D 0-0 1401 1331 57.3% 22.6% 20.1% -1.2 18
2017-05-28 @ Sandnes Ulf D 0-0 1331 1401 20.1% 22.6% 57.3% +1.2 17
2017-06-04 Asane W 3-0 1364 1330 52.8% 24.0% 23.2% +9.5 17
2017-06-04 @ Levanger L 0-3 1330 1364 23.2% 24.0% 52.8% -9.5 13
2017-06-04 Bodo Glimt W 2-1 1367 1442 37.8% 26.1% 36.1% +4.7 24
2017-06-04 @ Ranheim L 1-2 1442 1367 36.1% 26.1% 37.8% -4.7 25
2017-06-04 Elverum W 2-0 1367 1233 64.6% 19.7% 15.7% +4.3 9
2017-06-04 @ Jerv L 0-2 1233 1367 15.7% 19.7% 64.6% -4.3 10
2017-06-04 Fredrikstad W 4-1 1314 1265 54.6% 23.5% 21.9% +7.6 15
2017-06-04 @ Strommen L 1-4 1265 1314 21.9% 23.5% 54.6% -7.6 5
2017-06-04 Kongsvinger L 0-3 1332 1366 43.6% 25.7% 30.7% -15.8 17
2017-06-04 @ Ullensaker Kisa W 3-0 1366 1332 30.7% 25.7% 43.6% +15.8 12
2017-06-04 Sandnes Ulf W 3-1 1315 1400 36.3% 26.1% 37.6% +8.4 10
2017-06-04 @ Floro L 1-3 1400 1315 37.6% 26.1% 36.3% -8.4 18
2017-06-04 Start W 2-1 1389 1380 49.5% 24.8% 25.8% +3.6 17
2017-06-04 @ Mjondalen L 1-2 1380 1389 25.8% 24.8% 49.5% -3.6 22
2017-06-04 Tromsdalen L 1-2 1303 1261 53.8% 23.7% 22.5% -6.4 8
2017-06-04 @ Arendal W 2-1 1261 1303 22.5% 23.7% 53.8% +6.4 15
2017-06-10 Levanger L 0-1 1382 1374 49.4% 24.8% 25.8% -6.4 12
2017-06-10 @ Kongsvinger W 1-0 1374 1382 25.8% 24.8% 49.4% +6.4 20
2017-06-10 Strommen L 0-1 1377 1322 55.4% 23.2% 21.3% -7.0 22
2017-06-10 @ Start W 1-0 1322 1377 21.3% 23.2% 55.4% +7.0 18
2017-06-11 Arendal D 2-2 1321 1297 51.5% 24.3% 24.2% -0.6 14
2017-06-11 @ Asane D 2-2 1297 1321 24.2% 24.3% 51.5% +0.6 9
2017-06-11 Elverum W 4-0 1258 1229 52.1% 24.2% 23.8% +12.6 8
2017-06-11 @ Fredrikstad L 0-4 1229 1258 23.8% 24.2% 52.1% -12.6 10
2017-06-11 Floro W 1-0 1267 1323 40.6% 26.0% 33.5% +4.7 18
2017-06-11 @ Tromsdalen L 0-1 1323 1267 33.5% 26.0% 40.6% -4.7 10
2017-06-11 Jerv W 4-0 1438 1371 56.8% 22.8% 20.4% +10.9 28
2017-06-11 @ Bodo Glimt L 0-4 1371 1438 20.4% 22.8% 56.8% -10.9 9
2017-06-11 Ranheim W 2-0 1392 1372 50.9% 24.5% 24.6% +6.9 21
2017-06-11 @ Sandnes Ulf L 0-2 1372 1392 24.6% 24.5% 50.9% -6.9 24
2017-06-11 Ullensaker Kisa W 3-1 1393 1316 58.0% 22.4% 19.6% +4.8 20
2017-06-11 @ Mjondalen L 1-3 1316 1393 19.6% 22.4% 58.0% -4.8 17
2017-06-17 Bodo Glimt L 1-3 1297 1449 27.9% 25.3% 46.9% -6.6 9
2017-06-17 @ Arendal W 3-1 1449 1297 46.9% 25.3% 27.9% +6.7 31
2017-06-18 Asane D 0-0 1216 1320 33.8% 26.0% 40.2% +0.2 11
2017-06-18 @ Elverum D 0-0 1320 1216 40.2% 26.0% 33.8% -0.2 15
2017-06-18 Mjondalen D 1-1 1365 1397 43.9% 25.7% 30.4% -0.4 25
2017-06-18 @ Ranheim D 1-1 1397 1365 30.4% 25.7% 43.9% +0.4 21
2017-06-18 Sandnes Ulf L 1-3 1329 1399 38.5% 26.1% 35.4% -8.6 18
2017-06-18 @ Strommen W 3-1 1399 1329 35.4% 26.1% 38.5% +8.6 24
2017-06-18 Start D 0-0 1380 1370 49.7% 24.7% 25.6% -0.8 21
2017-06-18 @ Levanger D 0-0 1370 1380 25.6% 24.7% 49.7% +0.8 23
2017-06-18 Tromsdalen D 1-1 1360 1272 59.5% 21.9% 18.7% -1.2 10
2017-06-18 @ Jerv D 1-1 1272 1360 18.7% 21.9% 59.5% +1.2 19
2017-06-18 Ullensaker Kisa W 3-1 1318 1311 49.2% 24.8% 25.9% +6.2 13
2017-06-18 @ Floro L 1-3 1311 1318 25.9% 24.8% 49.2% -6.2 17
2017-06-20 Kongsvinger D 1-1 1270 1375 33.6% 26.0% 40.4% +0.2 9
2017-06-20 @ Fredrikstad D 1-1 1375 1270 40.4% 26.0% 33.6% -0.2 13
2017-06-25 Elverum D 1-1 1375 1217 67.3% 18.5% 14.2% -1.6 14
2017-06-25 @ Kongsvinger D 1-1 1217 1375 14.2% 18.5% 67.3% +1.6 12
2017-06-25 Floro L 2-4 1398 1325 57.6% 22.5% 19.9% -10.5 21
2017-06-25 @ Mjondalen W 4-2 1325 1398 19.9% 22.5% 57.6% +10.5 16
2017-06-25 Fredrikstad D 1-1 1320 1271 54.7% 23.5% 21.9% -0.9 16
2017-06-25 @ Asane D 1-1 1271 1320 21.9% 23.5% 54.7% +0.9 10
2017-06-25 Jerv L 0-3 1407 1359 54.6% 23.5% 21.9% -18.9 24
2017-06-25 @ Sandnes Ulf W 3-0 1359 1407 21.9% 23.5% 54.6% +18.9 13
2017-06-25 Levanger W 2-1 1273 1380 33.4% 26.0% 40.6% +5.1 22
2017-06-25 @ Tromsdalen L 1-2 1380 1273 40.6% 26.0% 33.4% -5.2 21
2017-06-25 Ranheim L 0-1 1305 1365 40.1% 26.0% 34.0% -5.4 17
2017-06-25 @ Ullensaker Kisa W 1-0 1365 1305 34.0% 26.0% 40.1% +5.4 28
2017-06-25 Strommen W 4-3 1455 1320 64.8% 19.6% 15.5% +2.0 34
2017-06-25 @ Bodo Glimt L 3-4 1320 1455 15.5% 19.6% 64.8% -2.0 18
2017-06-27 Arendal W 3-1 1370 1290 58.5% 22.2% 19.3% +4.7 26
2017-06-27 @ Start L 1-3 1290 1370 19.3% 22.2% 58.5% -4.7 9
2017-07-02 Asane W 2-0 1374 1319 55.4% 23.2% 21.4% +6.0 17
2017-07-02 @ Kongsvinger L 0-2 1319 1374 21.4% 23.2% 55.4% -6.0 16
2017-07-02 Bodo Glimt D 1-1 1374 1457 36.7% 26.1% 37.2% +0.0 22
2017-07-02 @ Levanger D 1-1 1457 1374 37.2% 26.1% 36.7% -0.0 35
2017-07-02 Floro L 0-2 1370 1335 52.9% 24.0% 23.2% -12.7 28
2017-07-02 @ Ranheim W 2-0 1335 1370 23.2% 24.0% 52.9% +12.7 19
2017-07-02 Mjondalen D 2-2 1318 1387 38.7% 26.1% 35.3% -0.1 19
2017-07-02 @ Strommen D 2-2 1387 1318 35.3% 26.1% 38.7% +0.1 22
2017-07-02 Start D 1-1 1218 1375 27.3% 25.1% 47.6% +0.6 13
2017-07-02 @ Elverum D 1-1 1375 1218 47.6% 25.1% 27.3% -0.6 27
2017-07-02 Tromsdalen W 2-1 1272 1278 47.4% 25.2% 27.4% +3.8 13
2017-07-02 @ Fredrikstad L 1-2 1278 1272 27.4% 25.2% 47.4% -3.8 22
2017-07-02 Ullensaker Kisa W 6-2 1378 1300 58.2% 22.3% 19.5% +7.4 16
2017-07-02 @ Jerv L 2-6 1300 1378 19.5% 22.3% 58.2% -7.4 17
2017-07-04 Sandnes Ulf L 2-3 1286 1388 34.0% 26.0% 40.0% -4.3 9
2017-07-04 @ Arendal W 3-2 1388 1286 40.0% 26.0% 34.0% +4.3 27
2017-07-22 Ranheim D 3-3 1457 1357 60.8% 21.3% 17.9% -0.8 36
2017-07-22 @ Bodo Glimt D 3-3 1357 1457 17.9% 21.3% 60.8% +0.8 29
2017-07-23 Arendal D 1-1 1274 1281 47.3% 25.2% 27.5% -0.5 23
2017-07-23 @ Tromsdalen D 1-1 1281 1274 27.5% 25.2% 47.3% +0.5 10
2017-07-23 Elverum W 2-0 1292 1219 57.7% 22.5% 19.8% +5.6 20
2017-07-23 @ Ullensaker Kisa L 0-2 1219 1292 19.8% 22.5% 57.7% -5.6 13
2017-07-23 Fredrikstad W 4-1 1348 1275 57.5% 22.5% 19.9% +6.9 22
2017-07-23 @ Floro L 1-4 1275 1348 19.9% 22.5% 57.5% -6.9 13
2017-07-23 Jerv W 2-1 1318 1385 39.0% 26.0% 35.0% +4.6 22
2017-07-23 @ Strommen L 1-2 1385 1318 35.0% 26.0% 39.0% -4.6 16
2017-07-23 Kongsvinger W 2-1 1375 1380 47.6% 25.1% 27.3% +3.8 30
2017-07-23 @ Start L 1-2 1380 1375 27.3% 25.1% 47.6% -3.8 17
2017-07-23 Levanger W 2-1 1313 1374 39.8% 26.0% 34.2% +4.5 19
2017-07-23 @ Asane L 1-2 1374 1313 34.2% 26.0% 39.8% -4.5 22
2017-07-23 Mjondalen W 1-0 1393 1387 49.0% 24.9% 26.1% +3.9 30
2017-07-23 @ Sandnes Ulf L 0-1 1387 1393 26.1% 24.9% 49.0% -3.8 22
2017-07-29 Bodo Glimt L 1-2 1383 1456 38.1% 26.1% 35.8% -4.9 22
2017-07-29 @ Mjondalen W 2-1 1456 1383 35.8% 26.1% 38.1% +4.9 39
2017-07-30 Asane L 0-1 1282 1317 43.4% 25.7% 30.8% -5.8 10
2017-07-30 @ Arendal W 1-0 1317 1282 30.8% 25.7% 43.4% +5.8 22
2017-07-30 Floro L 3-4 1213 1355 29.0% 25.5% 45.5% -3.7 13
2017-07-30 @ Elverum W 4-3 1355 1213 45.5% 25.5% 29.0% +3.7 25
2017-07-30 Jerv L 0-1 1370 1381 46.8% 25.3% 27.9% -6.1 22
2017-07-30 @ Levanger W 1-0 1381 1370 27.9% 25.3% 46.8% +6.1 19
2017-07-30 Start D 1-1 1396 1378 50.7% 24.5% 24.8% -0.7 31
2017-07-30 @ Sandnes Ulf D 1-1 1378 1396 24.8% 24.5% 50.7% +0.7 31
2017-07-30 Strommen D 1-1 1269 1323 40.8% 25.9% 33.2% -0.2 14
2017-07-30 @ Fredrikstad D 1-1 1323 1269 33.2% 25.9% 40.8% +0.2 23
2017-07-30 Tromsdalen W 3-1 1358 1274 59.0% 22.0% 19.0% +4.6 32
2017-07-30 @ Ranheim L 1-3 1274 1358 19.0% 22.0% 59.0% -4.6 23
2017-07-30 Ullensaker Kisa L 1-3 1376 1298 58.2% 22.3% 19.5% -11.9 17
2017-07-30 @ Kongsvinger W 3-1 1298 1376 19.5% 22.3% 58.2% +11.9 23
2017-08-05 Mjondalen W 2-1 1379 1379 48.4% 25.0% 26.6% +3.7 34
2017-08-05 @ Start L 1-2 1379 1379 26.6% 25.0% 48.4% -3.7 22
2017-08-06 Arendal W 5-0 1461 1276 70.1% 17.1% 12.8% +8.0 42
2017-08-06 @ Bodo Glimt L 0-5 1276 1461 12.8% 17.1% 70.1% -8.0 10
2017-08-06 Elverum D 1-1 1269 1210 56.0% 23.1% 21.0% -1.0 24
2017-08-06 @ Tromsdalen D 1-1 1210 1269 21.0% 23.1% 56.0% +1.0 14
2017-08-06 Fredrikstad W 2-0 1387 1268 62.9% 20.5% 16.6% +4.6 22
2017-08-06 @ Jerv L 0-2 1268 1387 16.6% 20.5% 62.9% -4.6 14
2017-08-06 Kongsvinger W 1-0 1358 1364 47.5% 25.2% 27.3% +4.0 28
2017-08-06 @ Floro L 0-1 1364 1358 27.3% 25.2% 47.5% -4.0 17
2017-08-06 Levanger L 0-1 1323 1364 42.7% 25.8% 31.5% -5.7 23
2017-08-06 @ Strommen W 1-0 1364 1323 31.5% 25.8% 42.7% +5.7 25
2017-08-06 Ranheim L 1-3 1323 1363 42.9% 25.8% 31.3% -9.3 22
2017-08-06 @ Asane W 3-1 1363 1323 31.3% 25.8% 42.9% +9.3 35
2017-08-06 Sandnes Ulf D 3-3 1310 1396 36.3% 26.1% 37.7% +0.0 24
2017-08-06 @ Ullensaker Kisa D 3-3 1396 1310 37.7% 26.1% 36.3% -0.0 32
2017-08-13 Asane D 3-3 1396 1314 58.7% 22.1% 19.2% -0.7 33
2017-08-13 @ Sandnes Ulf D 3-3 1314 1396 19.2% 22.1% 58.7% +0.7 23
2017-08-13 Bodo Glimt L 0-4 1211 1469 18.1% 21.5% 60.4% -9.6 14
2017-08-13 @ Elverum W 4-0 1469 1211 60.4% 21.5% 18.1% +9.6 45
2017-08-13 Floro W 2-0 1383 1362 51.0% 24.4% 24.6% +6.9 37
2017-08-13 @ Start L 0-2 1362 1383 24.6% 24.4% 51.0% -6.9 28
2017-08-13 Jerv W 6-1 1360 1391 44.0% 25.7% 30.3% +15.9 20
2017-08-13 @ Kongsvinger L 1-6 1391 1360 30.3% 25.7% 44.0% -15.9 22
2017-08-13 Levanger D 0-0 1264 1369 33.5% 26.0% 40.5% +0.2 15
2017-08-13 @ Fredrikstad D 0-0 1369 1264 40.5% 26.0% 33.5% -0.2 26
2017-08-13 Strommen L 0-3 1268 1317 41.6% 25.9% 32.5% -15.2 10
2017-08-13 @ Arendal W 3-0 1317 1268 32.5% 25.9% 41.6% +15.2 26
2017-08-13 Tromsdalen W 2-0 1375 1268 61.6% 21.0% 17.4% +4.9 25
2017-08-13 @ Mjondalen L 0-2 1268 1375 17.4% 21.0% 61.6% -4.9 24
2017-08-13 Ullensaker Kisa L 3-4 1372 1310 56.3% 22.9% 20.8% -6.2 35
2017-08-13 @ Ranheim W 4-3 1310 1372 20.8% 22.9% 56.3% +6.2 27
2017-08-16 Arendal L 2-3 1375 1253 63.4% 20.3% 16.4% -7.0 22
2017-08-16 @ Jerv W 3-2 1253 1375 16.4% 20.3% 63.4% +6.9 13
2017-08-16 Elverum D 1-1 1369 1201 68.4% 18.0% 13.6% -1.6 27
2017-08-16 @ Levanger D 1-1 1201 1369 13.6% 18.0% 68.4% +1.6 15
2017-08-16 Fredrikstad W 4-0 1479 1264 73.0% 15.6% 11.3% +5.6 48
2017-08-16 @ Bodo Glimt L 0-4 1264 1479 11.3% 15.6% 73.0% -5.6 15
2017-08-16 Kongsvinger L 2-3 1315 1376 39.8% 26.0% 34.2% -4.8 23
2017-08-16 @ Asane W 3-2 1376 1315 34.2% 26.0% 39.8% +4.8 23
2017-08-16 Mjondalen W 5-0 1355 1380 45.0% 25.6% 29.5% +18.8 31
2017-08-16 @ Floro L 0-5 1380 1355 29.5% 25.6% 45.0% -18.8 25
2017-08-16 Ranheim W 1-0 1332 1366 43.7% 25.7% 30.6% +4.4 29
2017-08-16 @ Strommen L 0-1 1366 1332 30.6% 25.7% 43.7% -4.4 35
2017-08-16 Sandnes Ulf L 1-2 1263 1395 30.2% 25.7% 44.1% -4.1 24
2017-08-16 @ Tromsdalen W 2-1 1395 1263 44.1% 25.7% 30.2% +4.1 36
2017-08-17 Start L 1-2 1316 1390 38.0% 26.1% 35.9% -4.9 27
2017-08-17 @ Ullensaker Kisa W 2-1 1390 1316 35.9% 26.1% 38.0% +4.9 40
2017-08-19 Levanger W 6-1 1361 1368 47.5% 25.2% 27.4% +14.6 38
2017-08-19 @ Ranheim L 1-6 1368 1361 27.4% 25.2% 47.5% -14.6 27
2017-08-20 Floro W 3-0 1399 1374 51.6% 24.3% 24.1% +9.8 39
2017-08-20 @ Sandnes Ulf L 0-3 1374 1399 24.1% 24.3% 51.6% -9.8 31
2017-08-20 Fredrikstad D 1-1 1260 1258 48.5% 25.0% 26.5% -0.6 14
2017-08-20 @ Arendal D 1-1 1258 1260 26.5% 25.0% 48.5% +0.6 16
2017-08-20 Jerv L 2-3 1203 1368 26.3% 24.9% 48.8% -3.5 15
2017-08-20 @ Elverum W 3-2 1368 1203 48.8% 24.9% 26.3% +3.5 25
2017-08-20 Strommen W 3-0 1361 1337 51.5% 24.3% 24.2% +9.8 28
2017-08-20 @ Mjondalen L 0-3 1337 1361 24.2% 24.3% 51.5% -9.8 29
2017-08-20 Tromsdalen D 2-2 1395 1259 64.8% 19.6% 15.5% -1.1 41
2017-08-20 @ Start D 2-2 1259 1395 15.5% 19.6% 64.8% +1.1 25
2017-08-20 Ullensaker Kisa L 0-3 1310 1311 48.1% 25.1% 26.8% -17.1 23
2017-08-20 @ Asane W 3-0 1311 1310 26.8% 25.1% 48.1% +17.1 30
2017-08-22 Bodo Glimt L 0-1 1381 1485 33.8% 26.0% 40.2% -4.8 23
2017-08-22 @ Kongsvinger W 1-0 1485 1381 40.2% 26.0% 33.8% +4.8 51
2017-09-03 Asane W 2-1 1259 1293 43.7% 25.7% 30.6% +4.1 19
2017-09-03 @ Fredrikstad L 1-2 1293 1259 30.6% 25.7% 43.7% -4.2 23
2017-09-03 Elverum D 0-0 1327 1199 64.0% 20.0% 16.0% -1.6 30
2017-09-03 @ Strommen D 0-0 1199 1327 16.0% 20.0% 64.0% +1.6 16
2017-09-03 Kongsvinger W 1-0 1376 1376 48.3% 25.0% 26.7% +3.9 41
2017-09-03 @ Ranheim L 0-1 1376 1376 26.7% 25.0% 48.3% -3.9 23
2017-09-03 Mjondalen L 0-1 1328 1371 42.4% 25.8% 31.7% -5.7 30
2017-09-03 @ Ullensaker Kisa W 1-0 1371 1328 31.7% 25.8% 42.4% +5.7 31
2017-09-03 Start L 1-3 1372 1393 45.4% 25.5% 29.1% -9.7 25
2017-09-03 @ Jerv W 3-1 1393 1372 29.1% 25.5% 45.4% +9.7 44
2017-09-03 Tromsdalen D 1-1 1364 1260 61.3% 21.1% 17.6% -1.3 32
2017-09-03 @ Floro D 1-1 1260 1364 17.6% 21.1% 61.3% +1.3 26
2017-09-04 Arendal W 3-2 1353 1259 60.1% 21.6% 18.3% +2.4 30
2017-09-04 @ Levanger L 2-3 1259 1353 18.3% 21.6% 60.1% -2.4 14
2017-09-06 Sandnes Ulf D 0-0 1489 1409 58.5% 22.2% 19.3% -1.3 52
2017-09-06 @ Bodo Glimt D 0-0 1409 1489 19.3% 22.2% 58.5% +1.3 40
2017-09-10 Arendal L 0-1 1363 1257 61.5% 21.0% 17.4% -7.6 32
2017-09-10 @ Floro W 1-0 1257 1363 17.4% 21.0% 61.5% +7.6 17
2017-09-10 Fredrikstad D 1-1 1201 1263 39.6% 26.0% 34.4% -0.1 17
2017-09-10 @ Elverum D 1-1 1263 1201 34.4% 26.0% 39.6% +0.1 20
2017-09-10 Jerv D 1-1 1289 1362 38.0% 26.1% 35.9% -0.0 24
2017-09-10 @ Asane D 1-1 1362 1289 35.9% 26.1% 38.0% +0.1 26
2017-09-10 Levanger D 2-2 1410 1355 55.4% 23.2% 21.4% -0.7 41
2017-09-10 @ Sandnes Ulf D 2-2 1355 1410 21.4% 23.2% 55.4% +0.7 31
2017-09-10 Ranheim W 3-0 1376 1380 47.8% 25.1% 27.1% +10.9 34
2017-09-10 @ Mjondalen L 0-3 1380 1376 27.1% 25.1% 47.8% -10.9 41
2017-09-10 Strommen D 0-0 1372 1325 54.4% 23.5% 22.1% -1.0 24
2017-09-10 @ Kongsvinger D 0-0 1325 1372 22.1% 23.5% 54.4% +1.0 31
2017-09-10 Ullensaker Kisa L 2-3 1262 1323 39.8% 26.0% 34.2% -4.8 26
2017-09-10 @ Tromsdalen W 3-2 1323 1262 34.2% 26.0% 39.8% +4.8 33
2017-09-12 Bodo Glimt D 2-2 1403 1488 36.4% 26.1% 37.5% +0.0 45
2017-09-12 @ Start D 2-2 1488 1403 37.5% 26.1% 36.4% -0.0 53
2017-09-17 Asane D 2-2 1326 1289 53.2% 23.9% 22.9% -0.6 32
2017-09-17 @ Strommen D 2-2 1289 1326 22.9% 23.9% 53.2% +0.6 25
2017-09-17 Elverum D 2-2 1369 1201 68.4% 18.0% 13.6% -1.2 42
2017-09-17 @ Ranheim D 2-2 1201 1369 13.6% 18.0% 68.4% +1.2 18
2017-09-17 Floro W 3-0 1327 1356 44.5% 25.6% 29.9% +11.8 36
2017-09-17 @ Ullensaker Kisa L 0-3 1356 1327 29.9% 25.6% 44.5% -11.8 32
2017-09-17 Kongsvinger W 2-1 1356 1371 46.3% 25.4% 28.4% +3.9 34
2017-09-17 @ Levanger L 1-2 1371 1356 28.4% 25.4% 46.3% -3.9 24
2017-09-17 Mjondalen L 0-1 1265 1387 31.3% 25.8% 42.9% -4.5 17
2017-09-17 @ Arendal W 1-0 1387 1265 42.9% 25.8% 31.3% +4.5 37
2017-09-17 Sandnes Ulf W 2-0 1362 1409 41.8% 25.9% 32.3% +8.7 29
2017-09-17 @ Jerv L 0-2 1409 1362 32.3% 25.9% 41.8% -8.7 41
2017-09-17 Start W 2-1 1263 1403 29.2% 25.5% 45.3% +5.6 23
2017-09-17 @ Fredrikstad L 1-2 1403 1263 45.3% 25.5% 29.2% -5.6 45
2017-09-19 Tromsdalen W 1-0 1488 1257 74.6% 14.8% 10.6% +1.5 56
2017-09-19 @ Bodo Glimt L 0-1 1257 1488 10.6% 14.8% 74.6% -1.5 26
2017-09-24 Arendal W 5-0 1202 1260 40.2% 26.0% 33.8% +21.0 21
2017-09-24 @ Elverum L 0-5 1260 1202 33.8% 26.0% 40.2% -21.0 17
2017-09-24 Asane W 3-0 1392 1289 61.1% 21.2% 17.7% +7.2 40
2017-09-24 @ Mjondalen L 0-3 1289 1392 17.7% 21.2% 61.1% -7.2 25
2017-09-24 Fredrikstad W 3-2 1367 1269 60.6% 21.4% 18.0% +2.4 27
2017-09-24 @ Kongsvinger L 2-3 1269 1367 18.0% 21.4% 60.6% -2.4 23
2017-09-24 Jerv L 1-4 1255 1371 32.2% 25.9% 41.9% -10.6 26
2017-09-24 @ Tromsdalen W 4-1 1371 1255 41.9% 25.9% 32.2% +10.6 32
2017-09-24 Levanger D 1-1 1398 1360 53.2% 23.9% 22.9% -0.9 46
2017-09-24 @ Start D 1-1 1360 1398 22.9% 23.9% 53.2% +0.9 35
2017-09-24 Ranheim D 1-1 1344 1368 45.0% 25.6% 29.5% -0.4 33
2017-09-24 @ Floro D 1-1 1368 1344 29.5% 25.6% 45.0% +0.4 43
2017-09-24 Strommen W 2-0 1401 1326 57.9% 22.4% 19.7% +5.6 44
2017-09-24 @ Sandnes Ulf L 0-2 1326 1401 19.7% 22.4% 57.9% -5.6 32
2017-09-26 Bodo Glimt L 2-5 1339 1489 28.0% 25.3% 46.7% -8.2 36
2017-09-26 @ Ullensaker Kisa W 5-2 1489 1339 46.7% 25.3% 28.0% +8.2 59
2017-10-01 Elverum W 1-0 1282 1223 55.9% 23.1% 21.0% +3.1 28
2017-10-01 @ Asane L 0-1 1223 1282 21.0% 23.1% 55.9% -3.1 21
2017-10-01 Floro W 4-1 1498 1343 66.9% 18.7% 14.4% +4.8 62
2017-10-01 @ Bodo Glimt L 1-4 1343 1498 14.4% 18.7% 66.9% -4.8 33
2017-10-01 Kongsvinger W 3-0 1239 1370 30.3% 25.7% 44.0% +15.9 20
2017-10-01 @ Arendal L 0-3 1370 1239 44.0% 25.7% 30.3% -15.9 27
2017-10-01 Mjondalen L 0-1 1381 1399 45.9% 25.4% 28.7% -6.0 32
2017-10-01 @ Jerv W 1-0 1399 1381 28.7% 25.4% 45.9% +6.0 43
2017-10-01 Sandnes Ulf L 0-1 1368 1406 43.1% 25.8% 31.1% -5.7 43
2017-10-01 @ Ranheim W 1-0 1406 1368 31.1% 25.8% 43.1% +5.7 47
2017-10-01 Start L 1-2 1320 1397 37.6% 26.1% 36.3% -4.9 32
2017-10-01 @ Strommen W 2-1 1397 1320 36.3% 26.1% 37.6% +4.9 49
2017-10-01 Tromsdalen L 0-3 1361 1245 62.7% 20.6% 16.7% -21.1 35
2017-10-01 @ Levanger W 3-0 1245 1361 16.7% 20.6% 62.7% +21.1 29
2017-10-03 Ullensaker Kisa L 1-2 1266 1331 39.3% 26.0% 34.6% -5.0 23
2017-10-03 @ Fredrikstad W 2-1 1331 1266 34.6% 26.0% 39.3% +5.0 39
2017-10-15 Arendal D 2-2 1412 1255 67.2% 18.6% 14.3% -1.2 48
2017-10-15 @ Sandnes Ulf D 2-2 1255 1412 14.3% 18.6% 67.2% +1.2 21
2017-10-15 Asane D 1-1 1338 1285 55.2% 23.3% 21.5% -1.0 34
2017-10-15 @ Floro D 1-1 1285 1338 21.5% 23.3% 55.2% +1.0 29
2017-10-15 Fredrikstad W 3-1 1405 1261 65.7% 19.2% 15.0% +3.6 46
2017-10-15 @ Mjondalen L 1-3 1261 1405 15.0% 19.2% 65.7% -3.6 23
2017-10-15 Jerv W 7-1 1336 1375 42.9% 25.8% 31.3% +19.4 42
2017-10-15 @ Ullensaker Kisa L 1-7 1375 1336 31.3% 25.8% 42.9% -19.4 32
2017-10-15 Kongsvinger L 1-2 1220 1354 29.9% 25.6% 44.5% -4.1 21
2017-10-15 @ Elverum W 2-1 1354 1220 44.5% 25.6% 29.9% +4.1 30
2017-10-15 Levanger L 1-3 1502 1340 67.8% 18.3% 13.9% -13.3 62
2017-10-15 @ Bodo Glimt W 3-1 1340 1502 13.9% 18.3% 67.8% +13.3 38
2017-10-15 Strommen D 1-1 1266 1315 41.5% 25.9% 32.6% -0.2 30
2017-10-15 @ Tromsdalen D 1-1 1315 1266 32.6% 25.9% 41.5% +0.2 33
2017-10-17 Ranheim W 4-2 1402 1363 53.4% 23.8% 22.8% +5.0 52
2017-10-17 @ Start L 2-4 1363 1402 22.8% 23.8% 53.4% -5.0 43
2017-10-21 Start L 0-2 1256 1407 28.0% 25.3% 46.7% -7.7 21
2017-10-21 @ Arendal W 2-0 1407 1256 46.7% 25.3% 28.0% +7.7 55
2017-10-22 Bodo Glimt L 1-4 1356 1489 30.0% 25.6% 44.3% -10.0 32
2017-10-22 @ Jerv W 4-1 1489 1356 44.3% 25.6% 30.0% +10.0 65
2017-10-22 Floro D 1-1 1353 1337 50.4% 24.6% 25.1% -0.7 39
2017-10-22 @ Levanger D 1-1 1337 1353 25.1% 24.6% 50.4% +0.7 35
2017-10-22 Mjondalen W 3-2 1358 1409 41.3% 25.9% 32.8% +4.2 33
2017-10-22 @ Kongsvinger L 2-3 1409 1358 32.8% 25.9% 41.3% -4.2 46
2017-10-22 Sandnes Ulf L 0-1 1215 1411 23.3% 24.0% 52.7% -3.5 21
2017-10-22 @ Elverum W 1-0 1411 1215 52.7% 24.0% 23.3% +3.5 51
2017-10-22 Tromsdalen D 2-2 1286 1266 51.0% 24.4% 24.6% -0.6 30
2017-10-22 @ Asane D 2-2 1266 1286 24.6% 24.4% 51.0% +0.5 31
2017-10-22 Ullensaker Kisa L 3-4 1316 1355 42.8% 25.8% 31.4% -5.0 33
2017-10-22 @ Strommen W 4-3 1355 1316 31.4% 25.8% 42.8% +5.0 45
2017-10-24 Ranheim L 1-2 1258 1358 34.3% 26.0% 39.7% -4.5 23
2017-10-24 @ Fredrikstad W 2-1 1358 1258 39.7% 26.0% 34.3% +4.5 46
2017-10-29 Arendal W 4-2 1360 1248 62.2% 20.8% 17.0% +3.7 48
2017-10-29 @ Ullensaker Kisa L 2-4 1248 1360 17.0% 20.8% 62.2% -3.7 21
2017-10-29 Asane W 6-0 1499 1286 72.9% 15.7% 11.4% +8.3 68
2017-10-29 @ Bodo Glimt L 0-6 1286 1499 11.4% 15.7% 72.9% -8.3 30
2017-10-29 Elverum L 0-1 1414 1212 71.8% 16.3% 11.9% -8.5 55
2017-10-29 @ Start W 1-0 1212 1414 11.9% 16.3% 71.8% +8.5 24
2017-10-29 Fredrikstad W 5-0 1266 1253 50.0% 24.7% 25.3% +16.5 34
2017-10-29 @ Tromsdalen L 0-5 1253 1266 25.3% 24.7% 50.0% -16.5 23
2017-10-29 Jerv W 3-1 1362 1346 50.4% 24.6% 25.0% +6.0 49
2017-10-29 @ Ranheim L 1-3 1346 1362 25.0% 24.6% 50.4% -6.0 32
2017-10-29 Kongsvinger L 0-3 1414 1362 55.1% 23.3% 21.6% -19.0 51
2017-10-29 @ Sandnes Ulf W 3-0 1362 1414 21.6% 23.3% 55.1% +19.0 36
2017-10-29 Levanger W 3-1 1404 1352 55.0% 23.4% 21.6% +5.3 49
2017-10-29 @ Mjondalen L 1-3 1352 1404 21.6% 23.4% 55.0% -5.3 39
2017-10-29 Strommen L 1-5 1338 1311 51.9% 24.2% 23.8% -19.8 35
2017-10-29 @ Floro W 5-1 1311 1338 23.8% 24.2% 51.9% +19.8 36
2017-11-05 Bodo Glimt L 1-6 1330 1507 25.1% 24.6% 50.3% -13.6 36
2017-11-05 @ Strommen W 6-1 1507 1330 50.3% 24.6% 25.1% +13.6 71
2017-11-05 Floro L 0-2 1340 1318 51.1% 24.4% 24.4% -12.3 32
2017-11-05 @ Jerv W 2-0 1318 1340 24.4% 24.4% 51.1% +12.3 38
2017-11-05 Mjondalen L 0-3 1221 1410 23.9% 24.2% 51.8% -9.7 24
2017-11-05 @ Elverum W 3-0 1410 1221 51.8% 24.2% 23.9% +9.7 52
2017-11-05 Ranheim L 1-2 1245 1368 31.2% 25.8% 43.0% -4.2 21
2017-11-05 @ Arendal W 2-1 1368 1245 43.0% 25.8% 31.2% +4.2 52
2017-11-05 Sandnes Ulf W 3-0 1237 1395 27.1% 25.1% 47.8% +17.0 26
2017-11-05 @ Fredrikstad L 0-3 1395 1237 47.8% 25.1% 27.1% -17.0 51
2017-11-05 Start W 3-2 1277 1406 30.6% 25.7% 43.7% +5.2 33
2017-11-05 @ Asane L 2-3 1406 1277 43.7% 25.7% 30.6% -5.2 55
2017-11-05 Tromsdalen L 0-1 1381 1283 60.6% 21.4% 18.0% -7.5 36
2017-11-05 @ Kongsvinger W 1-0 1283 1381 18.0% 21.4% 60.6% +7.5 37
2017-11-05 Ullensaker Kisa W 2-0 1347 1364 46.0% 25.4% 28.6% +7.8 42
2017-11-05 @ Levanger L 0-2 1364 1347 28.6% 25.4% 46.0% -7.8 48

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
2017-11-11 Ullensaker Kisa W 3-1 1419 1356 56.4% 22.9% 20.7% +5.0 1-0
2017-11-11 @ Mjondalen L 1-3 1356 1419 20.7% 22.9% 56.4% -5.0 0-1
2017-11-12 Sandnes Ulf W 1-0 1372 1378 47.5% 25.2% 27.3% +4.0 1-0
2017-11-12 @ Ranheim L 0-1 1378 1372 27.3% 25.2% 47.5% -4.0 0-1
2017-11-19 Ranheim L 1-2 1424 1376 54.5% 23.5% 22.0% -6.5 1-1
2017-11-19 @ Mjondalen W 2-1 1376 1424 22.0% 23.5% 54.5% +6.5 2-0
2017-11-29 Ranheim W 1-0 1488 1383 61.4% 21.1% 17.5% +2.6 1-0
2017-11-29 @ Sogndal L 0-1 1383 1488 17.5% 21.1% 61.4% -2.6 2-1
2017-12-02 Sogndal W 5-4 1380 1491 32.9% 25.9% 41.1% +4.8 3-1
2017-12-02 @ Ranheim L 4-5 1491 1380 41.1% 25.9% 32.9% -4.8 1-1

Biggest Upsets

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

# Date Underdog Win % Winning Team Losing Team
Team Elo Score Team Elo Score
1 2017-10-29 11.91% Elverum 1212 1 @ Start 1414 0
2 2017-10-15 13.94% Levanger 1340 3 @ Bodo Glimt 1502 1
3 2017-08-16 16.35% Arendal 1253 3 @ Jerv 1375 2
4 2017-10-01 16.74% Tromsdalen 1245 3 @ Levanger 1361 0
5 2017-09-10 17.42% Arendal 1257 1 @ Floro 1363 0
6 2017-05-21 17.73% Elverum 1221 3 @ Arendal 1323 0
7 2017-11-05 17.97% Tromsdalen 1283 1 @ Kongsvinger 1381 0
8 2017-07-30 19.48% Ullensaker Kisa 1298 3 @ Kongsvinger 1376 1
9 2017-06-25 19.85% Floro 1325 4 @ Mjondalen 1398 2
10 2017-08-13 20.75% Ullensaker Kisa 1310 4 @ Ranheim 1372 3
11 2017-06-10 21.35% Strommen 1322 1 @ Start 1377 0
12 2017-04-23 21.44% Strommen 1325 1 @ Jerv 1379 0
13 2017-10-29 21.58% Kongsvinger 1362 3 @ Sandnes Ulf 1414 0
14 2017-06-25 21.94% Jerv 1359 3 @ Sandnes Ulf 1407 0
15 2017-11-19 * 21.97% Ranheim 1376 2 @ Mjondalen 1424 1
16 2017-04-09 22.12% Start 1329 2 @ Kongsvinger 1376 0
17 2017-04-09 22.23% Ranheim 1352 2 @ Jerv 1397 1
18 2017-06-04 22.47% Tromsdalen 1261 2 @ Arendal 1303 1
19 2017-07-02 23.16% Floro 1335 2 @ Ranheim 1370 0
20 2017-05-16 23.69% Arendal 1317 3 @ Kongsvinger 1347 2
21 2017-10-29 23.85% Strommen 1311 5 @ Floro 1338 1
22 2017-04-09 23.94% Ullensaker Kisa 1314 2 @ Arendal 1341 1
23 2017-11-05 24.44% Floro 1318 2 @ Jerv 1340 0
24 2017-05-13 24.82% Asane 1320 3 @ Ullensaker Kisa 1338 2
25 2017-06-10 25.84% Levanger 1374 1 @ Kongsvinger 1382 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 2017-05-21 22.13 Kongsvinger 4 1341 27.25% @ Strommen 0 1336 47.60% 25.14%
2 2017-10-01 21.10 Tromsdalen 3 1245 16.74% @ Levanger 0 1361 62.69% 20.56%
3 2017-09-24 20.98 @ Elverum 5 1202 40.21% Arendal 0 1260 33.80% 25.99%
4 2017-05-21 20.66 Elverum 3 1221 17.73% @ Arendal 0 1323 61.04% 21.24%
5 2017-10-29 19.77 Strommen 5 1311 23.85% @ Floro 1 1338 51.93% 24.21%
6 2017-10-15 19.37 @ Ullensaker Kisa 7 1336 42.88% Jerv 1 1375 31.33% 25.79%
7 2017-04-23 19.06 @ Asane 4 1304 34.65% Sandnes Ulf 0 1402 39.32% 26.03%
8 2017-10-29 19.04 Kongsvinger 3 1362 21.58% @ Sandnes Ulf 0 1414 55.08% 23.34%
9 2017-06-25 18.90 Jerv 3 1359 21.94% @ Sandnes Ulf 0 1407 54.57% 23.49%
10 2017-08-16 18.81 @ Floro 5 1355 44.99% Mjondalen 0 1380 29.46% 25.55%
11 2017-05-13 17.14 Levanger 3 1334 26.68% @ Arendal 0 1334 48.31% 25.01%
12 2017-08-20 17.08 Ullensaker Kisa 3 1311 26.83% @ Asane 0 1310 48.13% 25.05%
13 2017-11-05 16.99 @ Fredrikstad 3 1237 27.08% Sandnes Ulf 0 1395 47.81% 25.11%
14 2017-10-29 16.53 @ Tromsdalen 5 1266 49.99% Fredrikstad 0 1253 25.34% 24.67%
15 2017-08-13 15.94 @ Kongsvinger 6 1360 44.03% Jerv 1 1391 30.30% 25.67%
16 2017-10-01 15.90 @ Arendal 3 1239 30.35% Kongsvinger 0 1370 43.98% 25.67%
17 2017-06-04 15.81 Kongsvinger 3 1366 30.66% @ Ullensaker Kisa 0 1332 43.63% 25.71%
18 2017-08-13 15.23 Strommen 3 1317 32.53% @ Arendal 0 1268 41.56% 25.90%
19 2017-08-19 14.63 @ Ranheim 6 1361 47.47% Levanger 1 1368 27.36% 25.17%
20 2017-05-13 13.68 Start 4 1363 29.37% @ Floro 1 1340 45.09% 25.53%
21 2017-11-05 13.58 Bodo Glimt 6 1507 50.27% @ Strommen 1 1330 25.12% 24.61%
22 2017-10-15 13.34 Levanger 3 1340 13.94% @ Bodo Glimt 1 1502 67.78% 18.27%
23 2017-04-23 13.10 Ullensaker Kisa 3 1328 39.95% @ Elverum 0 1226 34.05% 26.00%
24 2017-04-09 12.97 Start 2 1329 22.12% @ Kongsvinger 0 1376 54.32% 23.56%
25 2017-04-17 12.81 @ Start 4 1342 51.62% Asane 0 1317 24.09% 24.29%