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2023 First Division Season

240 games

Final

Promoted

—

No promotions.

Relegated

No relegation

Biggest Overachiever

Fredrikstad

13.96 points above expected

64 points · 50.04 expected points

Biggest Disappointment

Skeid

18.60 points below expected

14 points · 32.60 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 Fredrikstad 30 18 10 2 64 50 23 +27 50.04 +13.96
2 KFUM Oslo 30 17 7 6 58 51 31 +20 51.10 +6.90
3 Kongsvinger 30 16 4 10 52 53 39 +14 48.58 +3.42
4 Kristiansund 30 14 8 8 50 56 38 +18 52.29 -2.29
5 Start 30 12 10 8 46 49 36 +13 53.33 -7.33
6 Bryne 30 13 5 12 44 40 36 +4 40.90 +3.10
7 Sogndal 30 12 7 11 43 45 45 0 45.15 -2.15
8 Ranheim 30 12 4 14 40 36 53 -17 35.98 +4.02
9 Raufoss 30 10 8 12 38 35 36 -1 39.00 -1.00
10 Moss 30 10 8 12 38 37 40 -3 33.83 +4.17
11 Sandnes Ulf 30 10 7 13 37 42 45 -3 44.72 -7.72
12 Asane 30 9 10 11 37 41 44 -3 34.20 +2.80
13 Mjondalen 30 10 7 13 37 39 42 -3 40.55 -3.55
14 Hodd 30 8 9 13 33 29 38 -9 36.02 -3.02
15 Jerv 30 8 7 15 31 40 59 -19 38.17 -7.17
16 Skeid 30 3 5 22 14 24 62 -38 32.60 -18.60

Form

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

League Race

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

Season Summary

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

Team Elo Points Avg Luck Percentile Min 5th Q1 Median Q3 95th Max
Fredrikstad 1601 64 50.04 +13.96 97.9% 21 38 45 50 55 62 76
KFUM Oslo 1595 58 51.10 +6.90 84.7% 22 39 46 51 56 63 77
Kristiansund 1572 50 52.29 -2.29 40.0% 26 40 47 52 57 64 80
Bryne 1503 44 40.90 +3.10 69.2% 11 29 36 41 46 53 68
Kongsvinger 1499 52 48.58 +3.42 70.3% 19 37 44 49 54 60 75
Start 1496 46 53.33 -7.33 17.2% 24 42 48 53 58 65 85
Mjondalen 1442 37 40.55 -3.55 33.5% 12 29 36 41 45 52 67
Sogndal 1432 43 45.15 -2.15 41.5% 21 33 40 45 50 57 70
Raufoss 1426 38 39.00 -1.00 47.8% 10 27 34 39 44 51 64
Sandnes Ulf 1410 37 44.72 -7.72 16.2% 19 33 40 45 50 57 73
Asane 1409 37 34.20 +2.80 68.5% 11 23 29 34 39 46 62
Moss 1389 38 33.83 +4.17 75.4% 9 23 29 34 38 45 62
Hodd 1380 33 36.02 -3.02 36.5% 10 25 31 36 41 48 65
Ranheim 1350 40 35.98 +4.02 73.8% 12 25 31 36 41 48 63
Jerv 1337 31 38.17 -7.17 17.4% 11 26 33 38 43 50 67
Skeid 1251 14 32.60 -18.60 0.2% 6 22 28 32 37 44 60

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 MJO MOS RAN RAU SU SKE SOG STA
Asane —
2-0-0
2.41
0-0-2
1.79
1-1-0
2.74
0-1-1
2.84
0-1-1
1.95
0-0-2
1.78
0-1-1
1.71
1-1-0
2.18
1-0-1
2.76
1-0-1
2.78
1-1-0
2.18
1-1-0
2.40
1-1-0
3.21
0-1-1
2.13
0-1-1
1.48
Bryne
0-0-2
3.22
 —
0-1-1
2.34
2-0-0
2.84
1-1-0
2.91
0-0-2
2.30
2-0-0
2.46
0-1-1
2.22
1-0-1
3.10
1-0-1
3.00
1-0-1
2.97
2-0-0
2.92
1-0-1
2.41
1-0-1
3.48
1-1-0
2.72
0-1-1
2.14
Fredrikstad
2-0-0
3.85
1-1-0
3.30
 —
1-1-0
3.57
1-1-0
3.71
1-0-1
2.73
1-1-0
2.86
2-0-0
2.47
1-0-1
3.43
0-2-0
4.00
2-0-0
3.87
1-1-0
3.54
1-1-0
3.43
1-1-0
3.53
2-0-0
3.17
1-1-0
2.52
Hodd
0-1-1
2.89
0-0-2
2.80
0-1-1
2.07
 —
0-1-1
2.85
1-0-1
1.73
2-0-0
2.01
0-0-2
1.78
0-0-2
2.52
0-1-1
2.99
0-2-0
2.95
2-0-0
2.51
1-1-0
2.15
1-1-0
2.84
0-1-1
2.11
1-0-1
1.79
Jerv
1-1-0
2.79
0-1-1
2.72
0-1-1
1.95
1-1-0
2.79
 —
1-0-1
1.98
0-0-2
2.19
0-1-1
2.01
0-1-1
2.93
0-1-1
3.33
0-0-2
2.84
2-0-0
3.01
1-0-1
2.39
2-0-0
3.07
0-0-2
2.33
0-0-2
1.81
KFUM Oslo
1-1-0
3.70
2-0-0
3.34
1-0-1
2.90
1-0-1
3.92
1-0-1
3.66
 —
1-1-0
2.85
2-0-0
2.68
1-1-0
3.39
2-0-0
3.70
0-0-2
3.66
0-1-1
3.78
2-0-0
3.27
2-0-0
4.03
1-1-0
3.40
0-2-0
2.78
Kongsvinger
2-0-0
3.87
0-0-2
3.18
0-1-1
2.77
0-0-2
3.63
2-0-0
3.44
0-1-1
2.78
 —
0-1-1
2.72
2-0-0
3.16
1-0-1
3.88
2-0-0
3.62
1-0-1
3.48
2-0-0
2.86
2-0-0
3.72
1-1-0
2.92
1-0-1
2.53
Kristiansund
1-1-0
3.93
1-1-0
3.41
0-0-2
3.16
2-0-0
3.86
1-1-0
3.62
0-0-2
2.95
1-1-0
2.91
 —
1-1-0
3.55
2-0-0
3.78
2-0-0
3.83
0-0-2
3.90
0-1-1
3.23
1-1-0
4.29
2-0-0
3.05
0-1-1
2.72
Mjondalen
0-1-1
3.46
1-0-1
2.53
1-0-1
2.22
2-0-0
3.12
1-1-0
2.70
0-1-1
2.25
0-0-2
2.47
0-1-1
2.09
 —
0-0-2
3.36
1-0-1
3.25
1-1-0
2.63
0-0-2
2.42
2-0-0
3.43
0-2-0
2.72
1-0-1
1.94
Moss
1-0-1
2.87
1-0-1
2.63
0-2-0
1.64
1-1-0
2.64
1-1-0
2.30
0-0-2
1.94
1-0-1
1.76
0-0-2
1.86
2-0-0
2.27
 —
0-0-2
2.76
1-1-0
2.44
1-0-1
2.14
1-1-0
2.79
0-0-2
2.15
0-2-0
1.61
Ranheim
1-0-1
2.86
1-0-1
2.67
0-0-2
1.77
0-2-0
2.68
2-0-0
2.79
2-0-0
1.97
0-0-2
2.01
0-0-2
1.81
1-0-1
2.39
2-0-0
2.88
 —
0-1-1
2.61
0-0-2
2.43
1-0-1
3.24
2-0-0
2.18
0-1-1
1.73
Raufoss
0-1-1
3.45
0-0-2
2.71
0-1-1
2.10
0-0-2
3.12
0-0-2
2.62
1-1-0
1.86
1-0-1
2.16
2-0-0
1.74
0-1-1
3.01
0-1-1
3.19
1-1-0
3.02
 —
0-2-0
2.52
2-0-0
3.19
1-0-1
2.39
2-0-0
1.79
Sandnes Ulf
0-1-1
3.24
1-0-1
3.22
0-1-1
2.20
0-1-1
3.49
1-0-1
3.25
0-0-2
2.37
0-0-2
2.78
1-1-0
2.40
2-0-0
3.22
1-0-1
3.50
2-0-0
3.20
0-2-0
3.11
 —
1-0-1
3.83
0-0-2
2.77
1-1-0
2.13
Skeid
0-1-1
2.42
1-0-1
2.17
0-1-1
2.11
0-1-1
2.80
0-0-2
2.56
0-0-2
1.64
0-0-2
1.92
0-1-1
1.36
0-0-2
2.21
0-1-1
2.86
1-0-1
2.39
0-0-2
2.44
1-0-1
1.81
 —
0-0-2
1.84
0-0-2
1.93
Sogndal
1-1-0
3.50
0-1-1
2.92
0-0-2
2.46
1-1-0
3.53
2-0-0
3.31
0-1-1
2.23
0-1-1
2.71
0-0-2
2.58
0-2-0
2.91
2-0-0
3.49
0-0-2
3.46
1-0-1
3.24
2-0-0
2.86
2-0-0
3.80
 —
1-0-1
2.31
Start
1-1-0
4.17
1-1-0
3.50
0-1-1
3.11
1-0-1
3.85
2-0-0
3.83
0-2-0
2.85
1-0-1
3.10
1-1-0
2.91
1-0-1
3.69
0-2-0
4.04
1-1-0
3.92
0-0-2
3.85
0-1-1
3.51
2-0-0
3.72
1-0-1
3.32
 —

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 0.72 +11.3
Allowed 0.68 -9.7
Differential 0.90 +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
07.92%8.12%4.17%3.12%1.67%0.62%25.62%
18.12%9.58%10.42%3.54%1.67%0.21%33.54%
24.17%10.42%5.42%2.71%1.25%0.21%24.17%
33.12%3.54%2.71%1.25%0.21%—10.83%
41.67%1.67%1.25%0.21%——4.79%
5+0.62%0.21%0.21%———1.04%
Total25.62%33.54%24.17%10.83%4.79%1.04%100%

Summary Statistics

Scored Allowed Difference
Mean 1.39 1.39 +0.00
SD 1.18 1.18 1.73
CV 0.85 0.85 —
Max 6 6 +5
Min 0 0 -5

Games Played: 240

↓ Scored | Allowed →012345+Total
013.33%6.67%——3.33%—23.33%
13.33%10.00%13.33%3.33%3.33%—33.33%
23.33%10.00%6.67%6.67%——26.67%
33.33%6.67%3.33%3.33%——16.67%
4———————
5+———————
Total23.33%33.33%23.33%13.33%6.67%—100%

Summary Statistics

Scored Allowed Difference
Mean 1.37 1.47 -0.10
SD 1.03 1.20 1.47
CV 0.76 0.82 —
Max 3 4 +3
Min 0 0 -4

Games Played: 30

↓ Scored | Allowed →012345+Total
06.67%6.67%10.00%———23.33%
113.33%3.33%20.00%3.33%——40.00%
2—13.33%6.67%———20.00%
33.33%10.00%————13.33%
4—3.33%————3.33%
5+———————
Total23.33%36.67%36.67%3.33%——100%

Summary Statistics

Scored Allowed Difference
Mean 1.33 1.20 +0.13
SD 1.09 0.85 1.46
CV 0.82 0.71 —
Max 4 3 +3
Min 0 0 -2

Games Played: 30

↓ Scored | Allowed →012345+Total
010.00%—————10.00%
120.00%16.67%6.67%———43.33%
2—20.00%6.67%———26.67%
33.33%3.33%3.33%———10.00%
46.67%3.33%————10.00%
5+———————
Total40.00%43.33%16.67%———100%

Summary Statistics

Scored Allowed Difference
Mean 1.67 0.77 +0.90
SD 1.12 0.73 1.24
CV 0.67 0.95 —
Max 4 2 +4
Min 0 0 -1

Games Played: 30

↓ Scored | Allowed →012345+Total
06.67%20.00%—6.67%3.33%—36.67%
110.00%16.67%10.00%———36.67%
23.33%6.67%6.67%—3.33%—20.00%
33.33%3.33%————6.67%
4———————
5+———————
Total23.33%46.67%16.67%6.67%6.67%—100%

Summary Statistics

Scored Allowed Difference
Mean 0.97 1.27 -0.30
SD 0.93 1.11 1.51
CV 0.96 0.88 —
Max 3 4 +3
Min 0 0 -4

Games Played: 30

↓ Scored | Allowed →012345+Total
06.67%6.67%6.67%———20.00%
16.67%10.00%13.33%10.00%—3.33%43.33%
2—6.67%6.67%3.33%3.33%3.33%23.33%
3——10.00%———10.00%
4———3.33%——3.33%
5+———————
Total13.33%23.33%36.67%16.67%3.33%6.67%100%

Summary Statistics

Scored Allowed Difference
Mean 1.33 1.97 -0.63
SD 1.03 1.40 1.43
CV 0.77 0.71 —
Max 4 6 +1
Min 0 0 -4

Games Played: 30

↓ Scored | Allowed →012345+Total
03.33%10.00%——3.33%—16.67%
120.00%13.33%————33.33%
210.00%10.00%6.67%—3.33%—30.00%
33.33%3.33%——3.33%—10.00%
43.33%—3.33%———6.67%
5+——3.33%———3.33%
Total40.00%36.67%13.33%—10.00%—100%

Summary Statistics

Scored Allowed Difference
Mean 1.70 1.03 +0.67
SD 1.37 1.22 1.67
CV 0.80 1.18 —
Max 6 4 +4
Min 0 0 -4

Games Played: 30

↓ Scored | Allowed →012345+Total
0——6.67%3.33%——10.00%
16.67%10.00%16.67%6.67%——40.00%
26.67%20.00%————26.67%
33.33%3.33%3.33%3.33%——13.33%
43.33%3.33%————6.67%
5+3.33%—————3.33%
Total23.33%36.67%26.67%13.33%——100%

Summary Statistics

Scored Allowed Difference
Mean 1.77 1.30 +0.47
SD 1.22 0.99 1.89
CV 0.69 0.76 —
Max 5 3 +5
Min 0 0 -3

Games Played: 30

↓ Scored | Allowed →012345+Total
03.33%6.67%6.67%—3.33%—20.00%
13.33%16.67%3.33%—3.33%—26.67%
26.67%3.33%6.67%3.33%——20.00%
33.33%10.00%3.33%———16.67%
43.33%6.67%3.33%———13.33%
5+3.33%—————3.33%
Total23.33%43.33%23.33%3.33%6.67%—100%

Summary Statistics

Scored Allowed Difference
Mean 1.87 1.27 +0.60
SD 1.46 1.08 2.04
CV 0.78 0.85 —
Max 5 4 +5
Min 0 0 -4

Games Played: 30

↓ Scored | Allowed →012345+Total
013.33%10.00%3.33%3.33%——30.00%
1—3.33%10.00%6.67%3.33%—23.33%
210.00%10.00%6.67%6.67%——33.33%
36.67%—6.67%———13.33%
4———————
5+———————
Total30.00%23.33%26.67%16.67%3.33%—100%

Summary Statistics

Scored Allowed Difference
Mean 1.30 1.40 -0.10
SD 1.06 1.19 1.58
CV 0.81 0.85 —
Max 3 4 +3
Min 0 0 -3

Games Played: 30

↓ Scored | Allowed →012345+Total
06.67%10.00%3.33%3.33%——23.33%
110.00%13.33%13.33%3.33%3.33%—43.33%
2—13.33%6.67%—3.33%—23.33%
36.67%—————6.67%
4—3.33%————3.33%
5+———————
Total23.33%40.00%23.33%6.67%6.67%—100%

Summary Statistics

Scored Allowed Difference
Mean 1.23 1.33 -0.10
SD 1.01 1.12 1.56
CV 0.82 0.84 —
Max 4 4 +3
Min 0 0 -3

Games Played: 30

↓ Scored | Allowed →012345+Total
013.33%3.33%3.33%6.67%6.67%3.33%36.67%
110.00%—6.67%3.33%3.33%—23.33%
23.33%16.67%—10.00%——30.00%
3——3.33%———3.33%
4——6.67%———6.67%
5+———————
Total26.67%20.00%20.00%20.00%10.00%3.33%100%

Summary Statistics

Scored Allowed Difference
Mean 1.20 1.77 -0.57
SD 1.19 1.48 1.94
CV 0.99 0.84 —
Max 4 5 +2
Min 0 0 -5

Games Played: 30

↓ Scored | Allowed →012345+Total
016.67%16.67%—6.67%——40.00%
13.33%10.00%6.67%3.33%3.33%—26.67%
2—10.00%—3.33%——13.33%
33.33%10.00%3.33%———16.67%
43.33%—————3.33%
5+———————
Total26.67%46.67%10.00%13.33%3.33%—100%

Summary Statistics

Scored Allowed Difference
Mean 1.17 1.20 -0.03
SD 1.23 1.10 1.67
CV 1.06 0.91 —
Max 4 4 +4
Min 0 0 -3

Games Played: 30

↓ Scored | Allowed →012345+Total
06.67%6.67%3.33%6.67%3.33%—26.67%
110.00%10.00%10.00%6.67%——36.67%
210.00%——6.67%——16.67%
3—3.33%3.33%6.67%——13.33%
4—3.33%————3.33%
5+3.33%—————3.33%
Total30.00%23.33%16.67%26.67%3.33%—100%

Summary Statistics

Scored Allowed Difference
Mean 1.40 1.50 -0.10
SD 1.30 1.28 1.92
CV 0.93 0.85 —
Max 5 4 +5
Min 0 0 -4

Games Played: 30

↓ Scored | Allowed →012345+Total
06.67%16.67%13.33%6.67%3.33%6.67%53.33%
1—3.33%10.00%3.33%6.67%—23.33%
23.33%—6.67%3.33%3.33%—16.67%
33.33%—————3.33%
43.33%—————3.33%
5+———————
Total16.67%20.00%30.00%13.33%13.33%6.67%100%

Summary Statistics

Scored Allowed Difference
Mean 0.80 2.07 -1.27
SD 1.06 1.48 2.00
CV 1.33 0.72 —
Max 4 5 +4
Min 0 0 -5

Games Played: 30

↓ Scored | Allowed →012345+Total
03.33%6.67%6.67%6.67%——23.33%
16.67%10.00%13.33%———30.00%
23.33%16.67%6.67%—3.33%—30.00%
3—3.33%3.33%3.33%——10.00%
4——3.33%———3.33%
5+—3.33%————3.33%
Total13.33%40.00%33.33%10.00%3.33%—100%

Summary Statistics

Scored Allowed Difference
Mean 1.50 1.50 +0.00
SD 1.25 0.97 1.58
CV 0.84 0.65 —
Max 5 4 +4
Min 0 0 -3

Games Played: 30

↓ Scored | Allowed →012345+Total
010.00%3.33%3.33%———16.67%
16.67%6.67%13.33%6.67%——33.33%
26.67%10.00%13.33%———30.00%
36.67%——3.33%——10.00%
43.33%3.33%3.33%———10.00%
5+———————
Total33.33%23.33%33.33%10.00%——100%

Summary Statistics

Scored Allowed Difference
Mean 1.63 1.20 +0.43
SD 1.19 1.03 1.57
CV 0.73 0.86 —
Max 4 3 +4
Min 0 0 -2

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 Fredrikstad 64 50.04 +13.96
2 KFUM Oslo 58 51.10 +6.90
3 Moss 38 33.83 +4.17
4 Ranheim 40 35.98 +4.02
5 Kongsvinger 52 48.58 +3.42

Biggest Disappointments

# Team Actual Sim vsSim
1 Skeid 14 32.60 -18.60
2 Sandnes Ulf 37 44.72 -7.72
3 Start 46 53.33 -7.33
4 Jerv 31 38.17 -7.17
5 Mjondalen 37 40.55 -3.55

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 Kongsvinger 7 May 16 – Jul 2 1 in 155
2 KFUM Oslo 5 May 21 – Jun 25 1 in 39
3 Sandnes Ulf 4 Aug 13 – Aug 27 1 in 23
4 Raufoss 3 Aug 13 – Aug 23 1 in 21
5 Ranheim 3 Apr 10 – Apr 23 1 in 20

Most Unlikely Losing Streaks

# Team Games Dates Probability
1 Skeid 10 Aug 4 – Sep 30 1 in 414
2 Ranheim 6 Jun 11 – Aug 9 1 in 81
3 Bryne 4 May 20 – Jun 11 1 in 42
4 Hodd 5 Jun 24 – Aug 13 1 in 37
5 Sandnes Ulf 3 Jun 4 – Jun 25 1 in 29

Most Unlikely Unbeaten Streaks

# Team Games Dates Probability
1 Fredrikstad 17 Apr 10 – Aug 9 1 in 2,504
2 Ranheim 5 Aug 13 – Sep 2 1 in 70
3 KFUM Oslo 10 Aug 27 – Nov 12 1 in 44
4 Kongsvinger 8 May 16 – Jul 9 1 in 32
5 Jerv 6 May 13 – Jun 10 1 in 29

Most Unlikely Winless Streaks

# Team Games Dates Probability
1 Skeid 14 Jun 11 – Sep 30 1 in 114
2 Raufoss 8 May 3 – Jun 10 1 in 64
3 Jerv 10 Aug 13 – Oct 21 1 in 53
4 Asane 11 Apr 10 – Jun 4 1 in 48
5 KFUM Oslo 6 Apr 10 – May 6 1 in 40

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
Fredrikstad14.51%14.96%14.12%12.84%10.66%8.75%6.45%5.40%3.95%2.88%1.91%1.54%0.91%0.63%0.35%0.14%
KFUM Oslo16.78%17.08%14.61%12.67%10.40%7.92%6.21%4.77%3.00%2.26%1.75%1.06%0.84%0.31%0.22%0.12%
Kongsvinger10.05%11.53%12.52%12.09%11.40%9.82%8.45%6.92%5.45%3.92%2.56%2.19%1.42%0.88%0.58%0.22%
Kristiansund22.06%18.04%14.63%12.36%9.27%6.90%5.52%3.72%2.62%1.92%1.31%0.75%0.38%0.32%0.16%0.04%
Start25.47%18.73%15.63%11.29%8.74%6.83%4.65%3.07%2.24%1.34%0.82%0.54%0.29%0.23%0.12%0.01%
Bryne1.26%2.43%3.56%4.89%6.53%8.00%8.63%9.42%9.31%9.51%9.35%7.35%6.78%5.81%4.43%2.74%
Sogndal3.57%5.93%7.86%9.54%10.37%10.54%10.33%9.06%7.77%6.72%5.75%4.09%3.47%2.66%1.53%0.81%
Ranheim0.18%0.46%0.84%1.81%2.47%2.85%4.58%5.50%6.75%8.77%8.76%11.00%11.30%10.76%11.94%12.03%
Raufoss0.61%1.42%2.25%3.32%4.67%5.70%7.28%8.23%9.49%9.77%9.72%9.40%8.57%7.67%6.72%5.18%
Moss0.06%0.19%0.41%0.81%1.16%2.32%3.03%4.63%5.53%6.21%8.37%10.60%11.68%13.97%14.79%16.24%
Sandnes Ulf3.54%5.30%7.25%8.69%9.79%10.14%9.82%9.47%8.62%7.09%6.11%4.93%3.68%2.92%1.67%0.98%
Asane0.14%0.25%0.52%1.01%1.59%2.45%3.54%4.35%5.85%7.59%8.78%9.31%11.16%13.38%14.74%15.34%
Mjondalen1.08%2.00%2.91%4.26%5.75%7.55%8.96%9.06%9.83%9.56%9.02%7.99%7.36%6.15%5.15%3.37%
Hodd0.21%0.48%0.91%1.60%2.37%3.61%4.49%6.02%7.05%8.04%9.60%10.47%10.92%11.43%12.26%10.54%
Jerv0.45%1.03%1.63%2.35%3.79%5.27%5.76%7.41%8.66%9.02%9.63%10.17%9.78%9.56%8.16%7.33%
Skeid0.03%0.17%0.35%0.47%1.04%1.35%2.30%2.97%3.88%5.40%6.56%8.61%11.46%13.32%17.18%24.91%

Points Required Per Position

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

Points Totals in Context

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

Season Trends

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

Edges & Scoring

How these are measured

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

Home Edge
Share of matches won by the home team minus the share won by the away team.
No Edge: under 5% * Slight Edge: 5% to 15% * Clear Edge: 15% to 25% * Strong Edge: 25% and up.
Elo Value
Number of Elo rating points one goal is worth. A team this many Elo points better than another is expected to win by one goal on a neutral field.
Scoring Tilt
Average home goals minus average away goals per match. The gold line is the home goals edge implied by the scoring value of an Elo point and the home-field Elo bonus.
Road-Tilted: under -0.2 * Neutral: -0.2 to 0.5 * Home-Tilted: 0.5 to 1.2 * Strong Home: 1.2 and up.
Home Edge
HomeDrawAway
+15.00%
Clear Edge
45.42%24.17%30.42%
Elo Value
Home Edge
200 Elo
0.005 goals per Elo point
052.51500
Scoring Tilt
Expected
+0.33 goals
Neutral
-2+0.26+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
5.7
Open
124610
Champion Preseason Odds
15%
Fredrikstad, 4th of 16
LongshotFavorite
Title Margin
Expected
0.20/gm
Tight Race
00.150.5/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 5.71 * Some Luck: 5.71 to 8.57 * Lucky: 8.57 to 11.43 * Wild Swing: 11.43 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 2.21 * Close: 2.21 to 3.31 * Off: 3.31 to 4.42 * Way Off: 4.42 and up.
Biggest Overachiever
The team that finished highest inside its own range of simulated outcomes. The gold line is where the top team in a league of 16 typically lands.
Biggest Underachiever
The team that finished lowest inside its own range of simulated outcomes. The gold line is where the bottom team in a league of 16 typically lands.
Season Outliers
Number of teams that finished above the 95th or below the 5th percentile of their own simulated range. Even a well-calibrated model expects about 10% of teams in the extremes.
Minimal Outliers: under 16 * As Expected: 16 to 25.6 * Several Outliers: 25.6 to 35.2 * Many Outliers: 35.2 and up.
Luck Spread
Expected
7.23 points
Some Luck
07.1418
Average Finish Error
Expected
2.62
Close
02.766
Biggest Overachiever
Expected 96.88%
97.86%
Fredrikstad
50100
Biggest Underachiever
Expected 3.12%
0.22%
Skeid
050
Season Outliers
Expected
2 of 16
Minimal Outliers
01.68

Parity

How these are measured

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

Gini Index
How evenly points were spread across the league. Lower means a tight, balanced table; higher means a few teams ran off with most of the points.
Balanced: under 0.12 * Even: 0.12 to 0.18 * Top-Heavy: 0.18 to 0.26 * Lopsided: 0.26 and up.
Noll-Scully
How much more spread out the table was than a league where every match is a coin flip. The gold line at 1 is that coin-flip baseline. Above it, real talent gaps stretched the table; below it, the league was tighter than luck alone would produce.
Coin-Flip Parity: under 1 * Moderate Separation: 1 to 1.6 * Strong Separation: 1.6 to 2.2 * Wide Separation: 2.2 and up.
Interquartile Edge
Chance the team at the 75th percentile of Elo would beat the team at the 25th percentile on a neutral field. Higher means a bigger gap between the upper and lower half of the table.
Even: under 60% * Slight Edge: 60% to 70% * Clear Edge: 70% to 80% * Wide Edge: 80% and up.
Best vs. Worst
Chance the top-rated team would beat the bottom-rated team on a neutral field. The gold line is how large that gap tends to be in a league of this size; a dot to the right flags an unusually dominant or unusually weak team.
Even: under 70% * Clear Edge: 70% to 82% * Strong Edge: 82% to 92% * Dominant: 92% and up.
Close Games
Share of matches decided by 1 goal or fewer, draws included. The gold line is how many close games the matchups and the scoring value of an Elo point predict.
Few: under 30% * Some Drama: 30% to 40% * Frequent: 40% to 50% * Very Frequent: 50% and up.
Blowouts
Share of matches decided by 3 goals or more. The gold line is how many routs the matchups and the scoring model predict.
Rare: under 8% * Occasional: 8% to 14% * Frequent: 14% to 22% * Very Frequent: 22% and up.
Gini Index
0.15
Even
00.120.180.260.5
Noll-Scully
Coin-flip
1.41
Moderate Separation
01.003
Interquartile Edge
68%
Slight Edge
50%60%70%80%100%
Best vs. Worst
Baseline
88%
Strong Edge
50%89%100%
Close Games
Expected
67%
Very Frequent
0%61%100%
Blowouts
Expected
15%
Frequent
0%15%100%

Predictability

How these are measured

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

Brier Score
How close the pregame probabilities landed to the actual result, averaged over the season. Confident, correct calls are rewarded most; confident misses are punished most. Lower is better; since draws are possible, a score under 0.66 beats guessing the base rate.
Highly Predictable: under 0.56 * Predictable: 0.56 to 0.62 * Hard to Predict: 0.62 to 0.66 * Coin-Flip: 0.66 and up.
Matchup Imbalance
How lopsided the matchups were on paper, averaging the gap between the two win probabilities over their sum. 0 means every match was a toss-up; 1 means every match was a heavy favorite against a big underdog.
Very Even: under 0.1 * Slight Separation: 0.1 to 0.18 * Notable Separation: 0.18 to 0.28 * Lopsided: 0.28 and up.
Strangeness
How wild the final table was versus what the model expected. A value of 1 means teams landed about one standard deviation from their projections on average. Above 1 is a stranger season; below 1 hugged the projections.
Very Predictable: under 0.8 * As Expected: 0.8 to 1.1 * Wilder Than Modeled: 1.1 to 1.4 * Chaotic: 1.4 and up.
Repeatability
How closely the final table order matched the preseason Elo order, by Spearman rank correlation. Higher means last season's ratings strongly predicted this season's finish. Shows N/A for an inaugural season.
Weak Carryover: under 0.3 * Some Carryover: 0.3 to 0.6 * Strong Carryover: 0.6 to 0.85 * Near-Lock: 0.85 and up.
Upset Rate
Share of matches the underdog won. The gold line is how often the model expected underdogs to win; a dot to the right means upsets ran hotter than expected.
Chalky: under 25% * As Expected: 25% to 33% * Upset-Prone: 33% to 42% * Very Upset-Prone: 42% and up.
Clear Favorite Upset Rate
Share of matches the underdog won, counting only games with a clear favorite (at least 60% likely to win once a draw is set aside). The gold line is how often the model expected these favorites to slip.
Solid Favorites: under 15% * As Expected: 15% to 25% * Shaky Favorites: 25% to 35% * Very Shaky: 35% and up.
Brier Score
Expected
0.62
Hard to Predict
00.592
Matchup Imbalance
0.30
Lopsided
00.10.180.280.5
Strangeness
Expected
1.07
As Expected
01.002
Repeatability
0.56
Some Carryover
00.30.60.851
Upset Rate
Expected
27%
As Expected
0%29%50%
Clear Favorite Upset Rate
Expected
20%
As Expected
0%25%50%

Calibration

How these are measured

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

Probability calibration
An all-in-one chi-square test of the model's probabilities. Matches are grouped by how confident the model was, and within each group the predicted and actual counts of home wins, draws, and away wins are compared. The p-value is plotted; above 0.05 means well-calibrated.
Miscalibrated: under 0.05 * Borderline: 0.05 to 0.1 * Well Calibrated: 0.1 to 0.5 * Excellent: 0.5 and up.
Calibration slope
Checks whether the spread of the probabilities is right. Each probability is turned into log-odds and a line is fit predicting the actual results. A slope of 1.00 is perfect; below 1 is overconfidence (favorites lost more than their odds implied); above 1 is under-confidence.
Overconfident: under 0.85 * Calibrated: 0.85 to 1.15 * Underconfident: 1.15 to 1.3 * Very Underconfident: 1.3 and up.
Calibration error (ECE)
The average gap between the model's stated chances and how often the predicted result actually happened. Smaller is better. The gold line is the noise ceiling, the error luck alone can produce even with perfect probabilities; below it, the model's error is no larger than chance.
Well Within Noise: under 0.11 * Near Noise Ceiling: 0.11 to 0.16 * Above Noise: 0.16 to 0.21 * Well Above Noise: 0.21 and up.
Probability calibration
0.42
Well Calibrated
0.010.050.10.51
Calibration slope
Ideal
0.96
Calibrated
0.51.001.5
Calibration error (ECE)
Noise ceiling
0.096
Well Within Noise
00.1070.25

Next-Season Status

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

Team Direct promotion Lost promotion playoff Same level Direct relegation
KFUM Oslo 33.86% 45.60% 20.20% 0.34%
Fredrikstad 29.47% 46.37% 23.67% 0.49%
Sogndal 9.50% 38.31% 49.85% 2.34%
Sandnes Ulf 8.84% 35.87% 52.64% 2.65%
Bryne — 100% — —
Kongsvinger — 100% — —
Kristiansund — 100% — —
Start — 100% — —
Mjondalen 3.08% 20.47% 67.93% 8.52%
Raufoss 2.03% 15.94% 70.13% 11.90%
Jerv 1.48% 13.04% 69.99% 15.49%
Hodd 0.69% 8.49% 68.02% 22.80%
Ranheim 0.64% 7.97% 67.42% 23.97%
Asane 0.39% 5.57% 63.96% 30.08%
Moss 0.25% 4.70% 64.02% 31.03%
Skeid 0.20% 3.21% 54.50% 42.09%

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
2023-04-10 Asane D 0-0 1452 1379 58.8% 18.0% 23.2% -2.1 1
2023-04-10 @ Mjondalen D 0-0 1379 1452 23.2% 18.0% 58.8% +2.2 1
2023-04-10 Fredrikstad L 0-1 1523 1438 60.1% 17.9% 22.0% -13.7 0
2023-04-10 @ Kristiansund W 1-0 1438 1523 22.0% 17.9% 60.1% +13.7 3
2023-04-10 Kongsvinger W 2-1 1434 1473 44.7% 18.5% 36.8% +8.4 3
2023-04-10 @ Bryne L 1-2 1473 1434 36.8% 18.5% 44.7% -8.4 0
2023-04-10 Ranheim L 1-2 1438 1441 49.5% 18.4% 32.0% -10.8 0
2023-04-10 @ Jerv W 2-1 1441 1438 32.0% 18.4% 49.5% +10.8 3
2023-04-10 Raufoss W 1-0 1385 1389 49.5% 18.4% 32.1% +8.0 3
2023-04-10 @ Hodd L 0-1 1389 1385 32.1% 18.4% 49.5% -8.0 0
2023-04-10 Skeid W 4-1 1460 1435 53.1% 18.3% 28.6% +16.7 3
2023-04-10 @ Sandnes Ulf L 1-4 1435 1460 28.6% 18.3% 53.1% -16.7 0
2023-04-10 Sogndal D 1-1 1506 1466 55.1% 18.2% 26.7% -1.5 1
2023-04-10 @ KFUM Oslo D 1-1 1466 1506 26.7% 18.2% 55.1% +1.5 1
2023-04-10 Start D 0-0 1362 1522 28.4% 18.3% 53.2% +1.5 1
2023-04-10 @ Moss D 0-0 1522 1362 53.2% 18.3% 28.4% -1.5 1
2023-04-15 Bryne W 2-1 1452 1443 51.3% 18.4% 30.3% +7.2 6
2023-04-15 @ Ranheim L 1-2 1443 1452 30.3% 18.4% 51.3% -7.2 3
2023-04-15 Sandnes Ulf W 1-0 1467 1476 48.8% 18.5% 32.7% +8.1 4
2023-04-15 @ Sogndal L 0-1 1476 1467 32.7% 18.5% 48.8% -8.1 3
2023-04-16 Hodd D 1-1 1419 1393 53.3% 18.3% 28.4% -1.3 1
2023-04-16 @ Skeid D 1-1 1393 1419 28.4% 18.3% 53.3% +1.3 4
2023-04-16 Jerv L 1-2 1381 1427 43.8% 18.6% 37.6% -9.7 1
2023-04-16 @ Asane W 2-1 1427 1381 37.6% 18.6% 43.8% +9.7 3
2023-04-16 KFUM Oslo W 4-0 1381 1505 33.0% 18.5% 48.6% +40.4 3
2023-04-16 @ Raufoss L 0-4 1505 1381 48.6% 18.5% 33.0% -40.4 1
2023-04-16 Kristiansund W 4-0 1520 1509 51.5% 18.4% 30.1% +27.0 4
2023-04-16 @ Start L 0-4 1509 1520 30.1% 18.4% 51.5% -27.0 0
2023-04-16 Mjondalen W 2-0 1465 1449 52.0% 18.4% 29.6% +14.0 3
2023-04-16 @ Kongsvinger L 0-2 1449 1465 29.6% 18.4% 52.0% -14.0 1
2023-04-16 Moss D 1-1 1452 1363 60.6% 17.8% 21.6% -2.1 4
2023-04-16 @ Fredrikstad D 1-1 1363 1452 21.6% 17.8% 60.6% +2.1 2
2023-04-22 Asane D 1-1 1394 1371 52.9% 18.3% 28.7% -1.3 5
2023-04-22 @ Hodd D 1-1 1371 1394 28.7% 18.3% 52.9% +1.3 2
2023-04-22 Kongsvinger W 2-0 1482 1479 50.4% 18.4% 31.2% +14.7 3
2023-04-22 @ Kristiansund L 0-2 1479 1482 31.2% 18.4% 50.4% -14.7 3
2023-04-22 Raufoss D 0-0 1468 1421 55.9% 18.2% 26.0% -1.8 4
2023-04-22 @ Sandnes Ulf D 0-0 1421 1468 26.0% 18.2% 55.9% +1.8 4
2023-04-22 Skeid W 3-2 1437 1417 52.5% 18.3% 29.2% +6.6 6
2023-04-22 @ Jerv L 2-3 1417 1437 29.2% 18.3% 52.5% -6.6 1
2023-04-23 Ranheim L 0-1 1464 1459 50.7% 18.4% 30.9% -11.7 1
2023-04-23 @ KFUM Oslo W 1-0 1459 1464 30.9% 18.4% 50.7% +11.7 9
2023-04-23 Sogndal L 1-2 1365 1475 34.8% 18.5% 46.7% -8.0 2
2023-04-23 @ Moss W 2-1 1475 1365 46.7% 18.5% 34.8% +8.1 7
2023-04-23 Start D 2-2 1435 1547 34.5% 18.5% 47.0% +0.5 4
2023-04-23 @ Bryne D 2-2 1547 1435 47.0% 18.5% 34.5% -0.5 5
2023-04-24 Fredrikstad L 0-1 1435 1450 48.1% 18.5% 33.4% -11.2 1
2023-04-24 @ Mjondalen W 1-0 1450 1435 33.4% 18.5% 48.1% +11.2 7
2023-04-29 Bryne D 2-2 1483 1436 56.0% 18.2% 25.9% -1.2 8
2023-04-29 @ Sogndal D 2-2 1436 1483 25.9% 18.2% 56.0% +1.2 5
2023-04-29 Kristiansund L 1-3 1424 1497 40.0% 18.6% 41.4% -15.7 1
2023-04-29 @ Mjondalen W 3-1 1497 1424 41.4% 18.6% 40.0% +15.7 6
2023-04-29 Skeid L 0-4 1471 1411 57.5% 18.1% 24.5% -47.0 9
2023-04-29 @ Ranheim W 4-0 1411 1471 24.5% 18.1% 57.5% +47.0 4
2023-04-30 Hodd L 0-3 1464 1393 58.7% 18.0% 23.3% -36.7 3
2023-04-30 @ Kongsvinger W 3-0 1393 1464 23.3% 18.0% 58.7% +36.7 8
2023-04-30 Jerv W 2-1 1357 1443 38.1% 18.6% 43.4% +9.7 5
2023-04-30 @ Moss L 1-2 1443 1357 43.4% 18.6% 38.1% -9.7 6
2023-04-30 KFUM Oslo D 1-1 1373 1453 38.9% 18.6% 42.5% +0.2 3
2023-04-30 @ Asane D 1-1 1453 1373 42.5% 18.6% 38.9% -0.2 2
2023-04-30 Raufoss L 1-3 1547 1423 64.1% 17.5% 18.4% -23.8 5
2023-04-30 @ Start W 3-1 1423 1547 18.4% 17.5% 64.1% +23.8 7
2023-04-30 Sandnes Ulf D 0-0 1461 1466 49.3% 18.4% 32.2% -1.0 8
2023-04-30 @ Fredrikstad D 0-0 1466 1461 32.2% 18.4% 49.3% +1.0 5
2023-05-03 Asane D 0-0 1447 1373 59.0% 17.9% 23.0% -2.2 8
2023-05-03 @ Raufoss D 0-0 1373 1447 23.0% 17.9% 59.0% +2.2 4
2023-05-03 Fredrikstad D 0-0 1437 1460 47.0% 18.5% 34.5% -0.7 6
2023-05-03 @ Bryne D 0-0 1460 1437 34.5% 18.5% 47.0% +0.7 9
2023-05-03 Kongsvinger L 1-2 1467 1428 55.0% 18.2% 26.8% -11.9 5
2023-05-03 @ Sandnes Ulf W 2-1 1428 1467 26.8% 18.2% 55.0% +11.9 6
2023-05-03 Mjondalen L 2-3 1434 1408 53.2% 18.3% 28.5% -11.0 6
2023-05-03 @ Jerv W 3-2 1408 1434 28.5% 18.3% 53.2% +11.0 4
2023-05-03 Moss D 2-2 1458 1367 60.8% 17.8% 21.4% -1.6 5
2023-05-03 @ Skeid D 2-2 1367 1458 21.4% 17.8% 60.8% +1.6 6
2023-05-03 Ranheim D 0-0 1430 1424 50.8% 18.4% 30.8% -1.2 9
2023-05-03 @ Hodd D 0-0 1424 1430 30.8% 18.4% 50.8% +1.2 10
2023-05-03 Sogndal W 2-1 1512 1482 53.8% 18.3% 27.9% +6.7 9
2023-05-03 @ Kristiansund L 1-2 1482 1512 27.9% 18.3% 53.8% -6.7 8
2023-05-03 Start D 2-2 1452 1523 40.3% 18.6% 41.1% +0.0 3
2023-05-03 @ KFUM Oslo D 2-2 1523 1452 41.1% 18.6% 40.3% -0.0 6
2023-05-06 Asane W 3-2 1425 1375 56.3% 18.1% 25.6% +5.9 13
2023-05-06 @ Ranheim L 2-3 1375 1425 25.6% 18.1% 56.3% -5.9 4
2023-05-06 Bryne W 3-1 1519 1436 59.9% 17.9% 22.2% +9.4 12
2023-05-06 @ Kristiansund L 1-3 1436 1519 22.2% 17.9% 59.9% -9.4 6
2023-05-06 KFUM Oslo D 2-2 1419 1453 45.6% 18.5% 35.9% -0.4 5
2023-05-06 @ Mjondalen D 2-2 1453 1419 35.9% 18.5% 45.6% +0.4 4
2023-05-06 Raufoss W 2-1 1476 1445 53.9% 18.3% 27.8% +6.7 11
2023-05-06 @ Sogndal L 1-2 1445 1476 27.8% 18.3% 53.9% -6.6 8
2023-05-07 Hodd W 4-2 1523 1428 61.2% 17.8% 21.1% +8.0 9
2023-05-07 @ Start L 2-4 1428 1523 21.1% 17.8% 61.2% -8.0 9
2023-05-07 Jerv W 2-1 1440 1423 52.2% 18.3% 29.4% +7.0 9
2023-05-07 @ Kongsvinger L 1-2 1423 1440 29.4% 18.3% 52.2% -7.0 6
2023-05-07 Sandnes Ulf W 1-0 1368 1456 37.9% 18.6% 43.5% +10.3 9
2023-05-07 @ Moss L 0-1 1456 1368 43.5% 18.6% 37.9% -10.3 5
2023-05-07 Skeid D 0-0 1461 1456 50.6% 18.4% 31.0% -1.1 10
2023-05-07 @ Fredrikstad D 0-0 1456 1461 31.0% 18.4% 50.6% +1.1 6
2023-05-12 Kristiansund D 1-1 1445 1528 38.5% 18.6% 43.0% +0.2 6
2023-05-12 @ Sandnes Ulf D 1-1 1528 1445 43.0% 18.6% 38.5% -0.2 13
2023-05-13 Fredrikstad D 1-1 1416 1460 44.1% 18.6% 37.4% -0.3 7
2023-05-13 @ Jerv D 1-1 1460 1416 37.4% 18.6% 44.1% +0.3 11
2023-05-13 Kongsvinger W 2-0 1453 1447 50.9% 18.4% 30.7% +14.5 7
2023-05-13 @ KFUM Oslo L 0-2 1447 1453 30.7% 18.4% 50.9% -14.5 9
2023-05-13 Mjondalen W 2-1 1427 1419 51.1% 18.4% 30.6% +7.2 9
2023-05-13 @ Bryne L 1-2 1419 1427 30.6% 18.4% 51.1% -7.2 5
2023-05-13 Moss D 1-1 1420 1379 55.3% 18.2% 26.5% -1.5 10
2023-05-13 @ Hodd D 1-1 1379 1420 26.5% 18.2% 55.3% +1.5 10
2023-05-13 Ranheim D 0-0 1438 1431 51.0% 18.4% 30.6% -1.2 9
2023-05-13 @ Raufoss D 0-0 1431 1438 30.6% 18.4% 51.0% +1.2 14
2023-05-13 Sogndal L 2-3 1369 1482 34.4% 18.5% 47.1% -7.6 4
2023-05-13 @ Asane W 3-2 1482 1369 47.1% 18.5% 34.4% +7.6 14
2023-05-13 Start L 1-4 1457 1531 39.8% 18.6% 41.6% -22.1 6
2023-05-13 @ Skeid W 4-1 1531 1457 41.6% 18.6% 39.8% +22.1 12
2023-05-16 Asane W 1-0 1380 1362 52.4% 18.3% 29.2% +7.4 13
2023-05-16 @ Moss L 0-1 1362 1380 29.2% 18.3% 52.4% -7.4 4
2023-05-16 Hodd W 1-0 1490 1419 58.6% 18.0% 23.4% +6.0 17
2023-05-16 @ Sogndal L 0-1 1419 1490 23.4% 18.0% 58.6% -6.0 10
2023-05-16 Jerv D 0-0 1434 1415 52.5% 18.3% 29.2% -1.4 10
2023-05-16 @ Bryne D 0-0 1415 1434 29.2% 18.3% 52.5% +1.4 8
2023-05-16 KFUM Oslo W 1-0 1460 1467 49.0% 18.4% 32.5% +8.1 14
2023-05-16 @ Fredrikstad L 0-1 1467 1460 32.5% 18.4% 49.0% -8.1 7
2023-05-16 Ranheim W 3-2 1528 1432 61.3% 17.8% 20.9% +4.9 16
2023-05-16 @ Kristiansund L 2-3 1432 1528 20.9% 17.8% 61.3% -4.9 14
2023-05-16 Raufoss W 3-0 1412 1437 46.7% 18.5% 34.8% +23.4 8
2023-05-16 @ Mjondalen L 0-3 1437 1412 34.8% 18.5% 46.7% -23.4 9
2023-05-16 Sandnes Ulf D 3-3 1553 1445 62.5% 17.6% 19.8% -1.5 13
2023-05-16 @ Start D 3-3 1445 1553 19.8% 17.6% 62.5% +1.5 7
2023-05-16 Skeid W 5-0 1432 1435 49.6% 18.4% 32.0% +35.1 12
2023-05-16 @ Kongsvinger L 0-5 1435 1432 32.0% 18.4% 49.6% -35.1 6
2023-05-20 Bryne W 2-0 1447 1433 51.9% 18.4% 29.8% +14.1 10
2023-05-20 @ Sandnes Ulf L 0-2 1433 1447 29.8% 18.4% 51.9% -14.1 10
2023-05-21 Fredrikstad D 1-1 1413 1468 42.5% 18.6% 39.0% -0.2 11
2023-05-21 @ Hodd D 1-1 1468 1413 39.0% 18.6% 42.5% +0.2 15
2023-05-21 Kongsvinger L 1-2 1414 1467 42.7% 18.6% 38.7% -9.5 9
2023-05-21 @ Raufoss W 2-1 1467 1414 38.7% 18.6% 42.7% +9.5 15
2023-05-21 Kristiansund D 1-1 1417 1533 34.0% 18.5% 47.6% +0.7 9
2023-05-21 @ Jerv D 1-1 1533 1417 47.6% 18.5% 34.0% -0.7 17
2023-05-21 Mjondalen L 0-2 1400 1435 45.3% 18.5% 36.2% -20.0 6
2023-05-21 @ Skeid W 2-0 1435 1400 36.2% 18.5% 45.3% +20.0 11
2023-05-21 Moss W 4-2 1459 1388 58.7% 18.0% 23.3% +8.8 10
2023-05-21 @ KFUM Oslo L 2-4 1388 1459 23.3% 18.0% 58.7% -8.8 13
2023-05-21 Sogndal W 2-0 1427 1496 40.6% 18.6% 40.8% +18.4 17
2023-05-21 @ Ranheim L 0-2 1496 1427 40.8% 18.6% 40.6% -18.4 17
2023-05-21 Start D 2-2 1354 1552 24.3% 18.1% 57.7% +1.3 5
2023-05-21 @ Asane D 2-2 1552 1354 57.7% 18.1% 24.3% -1.3 14
2023-05-29 Asane W 2-1 1468 1356 63.0% 17.6% 19.4% +4.8 18
2023-05-29 @ Fredrikstad L 1-2 1356 1468 19.4% 17.6% 63.0% -4.8 5
2023-05-29 Hodd W 2-1 1417 1413 50.6% 18.4% 31.0% +7.3 12
2023-05-29 @ Jerv L 1-2 1413 1417 31.0% 18.4% 50.6% -7.3 11
2023-05-29 KFUM Oslo L 0-1 1419 1468 43.3% 18.6% 38.2% -10.2 10
2023-05-29 @ Bryne W 1-0 1468 1419 38.2% 18.6% 43.3% +10.2 13
2023-05-29 Ranheim W 2-1 1550 1446 62.2% 17.7% 20.1% +5.0 17
2023-05-29 @ Start L 1-2 1446 1550 20.1% 17.7% 62.2% -5.0 17
2023-05-29 Raufoss W 1-0 1379 1404 46.6% 18.5% 34.8% +8.5 16
2023-05-29 @ Moss L 0-1 1404 1379 34.8% 18.5% 46.6% -8.5 9
2023-05-29 Sandnes Ulf L 1-3 1455 1461 49.3% 18.4% 32.3% -18.7 11
2023-05-29 @ Mjondalen W 3-1 1461 1455 32.3% 18.4% 49.3% +18.7 13
2023-05-29 Skeid D 2-2 1532 1380 66.7% 17.1% 16.2% -2.1 18
2023-05-29 @ Kristiansund D 2-2 1380 1532 16.2% 17.1% 66.7% +2.1 7
2023-05-29 Sogndal W 1-0 1477 1477 49.9% 18.4% 31.6% +7.9 18
2023-05-29 @ Kongsvinger L 0-1 1477 1477 31.6% 18.4% 49.9% -7.9 17
2023-06-04 Bryne W 2-0 1382 1408 46.5% 18.5% 35.0% +16.2 10
2023-06-04 @ Skeid L 0-2 1408 1382 35.0% 18.5% 46.5% -16.2 10
2023-06-04 Fredrikstad D 1-1 1396 1473 39.3% 18.6% 42.1% +0.2 10
2023-06-04 @ Raufoss D 1-1 1473 1396 42.1% 18.6% 39.3% -0.2 19
2023-06-04 Jerv L 2-3 1480 1425 56.8% 18.1% 25.1% -11.6 13
2023-06-04 @ Sandnes Ulf W 3-2 1425 1480 25.1% 18.1% 56.8% +11.6 15
2023-06-04 Kongsvinger L 1-2 1351 1484 31.7% 18.4% 49.9% -7.4 5
2023-06-04 @ Asane W 2-1 1484 1351 49.9% 18.4% 31.7% +7.4 21
2023-06-04 Kristiansund W 2-0 1478 1530 43.0% 18.6% 38.5% +17.5 16
2023-06-04 @ KFUM Oslo L 0-2 1530 1478 38.5% 18.6% 43.0% -17.5 18
2023-06-04 Mjondalen L 1-2 1405 1437 45.8% 18.5% 35.6% -10.1 11
2023-06-04 @ Hodd W 2-1 1437 1405 35.6% 18.5% 45.8% +10.1 14
2023-06-04 Moss W 2-1 1441 1387 56.7% 18.1% 25.2% +6.1 20
2023-06-04 @ Ranheim L 1-2 1387 1441 25.2% 18.1% 56.7% -6.1 16
2023-06-04 Start W 2-1 1470 1555 38.1% 18.6% 43.3% +9.7 20
2023-06-04 @ Sogndal L 1-2 1555 1470 43.3% 18.6% 38.1% -9.7 17
2023-06-10 Moss W 4-1 1513 1381 64.8% 17.4% 17.8% +10.8 21
2023-06-10 @ Kristiansund L 1-4 1381 1513 17.8% 17.4% 64.8% -10.8 16
2023-06-10 Raufoss W 1-0 1436 1396 55.1% 18.2% 26.7% +6.8 18
2023-06-10 @ Jerv L 0-1 1396 1436 26.7% 18.2% 55.1% -6.8 10
2023-06-10 Sogndal D 0-0 1447 1479 45.7% 18.5% 35.8% -0.6 15
2023-06-10 @ Mjondalen D 0-0 1479 1447 35.8% 18.5% 45.7% +0.6 21
2023-06-11 Asane L 1-2 1392 1343 56.1% 18.1% 25.7% -12.1 10
2023-06-11 @ Bryne W 2-1 1343 1392 25.7% 18.1% 56.1% +12.1 8
2023-06-11 Hodd L 1-3 1468 1395 58.9% 18.0% 23.2% -22.0 13
2023-06-11 @ Sandnes Ulf W 3-1 1395 1468 23.2% 18.0% 58.9% +22.0 14
2023-06-11 KFUM Oslo L 0-4 1398 1496 36.5% 18.5% 45.0% -31.8 10
2023-06-11 @ Skeid W 4-0 1496 1398 45.0% 18.5% 36.5% +31.8 19
2023-06-11 Ranheim W 3-0 1492 1447 55.7% 18.2% 26.2% +18.3 24
2023-06-11 @ Kongsvinger L 0-3 1447 1492 26.2% 18.2% 55.7% -18.3 20
2023-06-11 Start W 3-1 1473 1546 40.0% 18.6% 41.5% +16.1 22
2023-06-11 @ Fredrikstad L 1-3 1546 1473 41.5% 18.6% 40.0% -16.1 17
2023-06-23 Jerv W 2-1 1529 1443 60.3% 17.8% 21.8% +5.4 20
2023-06-23 @ Start L 1-2 1443 1529 21.8% 17.8% 60.3% -5.4 18
2023-06-24 Bryne L 0-1 1417 1380 54.7% 18.2% 27.1% -12.6 14
2023-06-24 @ Hodd W 1-0 1380 1417 27.1% 18.2% 54.7% +12.6 13
2023-06-24 Fredrikstad L 0-1 1480 1489 48.8% 18.5% 32.7% -11.3 21
2023-06-24 @ Sogndal W 1-0 1489 1480 32.7% 18.5% 48.8% +11.3 25
2023-06-24 Mjondalen L 2-3 1429 1446 47.7% 18.5% 33.8% -9.9 20
2023-06-24 @ Ranheim W 3-2 1446 1429 33.8% 18.5% 47.7% +9.9 18
2023-06-25 Kongsvinger L 0-1 1370 1510 30.9% 18.4% 50.7% -7.7 16
2023-06-25 @ Moss W 1-0 1510 1370 50.7% 18.4% 30.9% +7.7 27
2023-06-25 Kristiansund D 2-2 1355 1524 27.5% 18.2% 54.2% +1.0 9
2023-06-25 @ Asane D 2-2 1524 1355 54.2% 18.2% 27.5% -1.1 22
2023-06-25 Sandnes Ulf W 3-1 1528 1446 59.8% 17.9% 22.3% +9.5 22
2023-06-25 @ KFUM Oslo L 1-3 1446 1528 22.3% 17.9% 59.8% -9.5 13
2023-06-25 Skeid W 1-0 1389 1367 52.9% 18.3% 28.8% +7.3 13
2023-06-25 @ Raufoss L 0-1 1367 1389 28.8% 18.3% 52.9% -7.3 10
2023-07-01 Asane D 3-3 1437 1357 59.7% 17.9% 22.4% -1.2 14
2023-07-01 @ Sandnes Ulf D 3-3 1357 1437 22.4% 17.9% 59.7% +1.2 10
2023-07-01 Hodd W 4-0 1522 1405 63.5% 17.5% 18.9% +17.8 25
2023-07-01 @ Kristiansund L 0-4 1405 1522 18.9% 17.5% 63.5% -17.8 14
2023-07-01 KFUM Oslo W 4-3 1438 1537 36.2% 18.5% 45.2% +9.3 21
2023-07-01 @ Jerv L 3-4 1537 1438 45.2% 18.5% 36.2% -9.3 22
2023-07-01 Moss L 1-2 1456 1363 61.1% 17.8% 21.1% -13.1 18
2023-07-01 @ Mjondalen W 2-1 1363 1456 21.1% 17.8% 61.1% +13.1 19
2023-07-01 Sogndal L 2-4 1359 1468 34.9% 18.5% 46.6% -12.5 10
2023-07-01 @ Skeid W 4-2 1468 1359 46.6% 18.5% 34.9% +12.5 24
2023-07-02 Ranheim W 4-0 1500 1419 59.8% 17.9% 22.3% +20.7 28
2023-07-02 @ Fredrikstad L 0-4 1419 1500 22.3% 17.9% 59.8% -20.7 20
2023-07-02 Raufoss W 4-1 1393 1396 49.6% 18.4% 32.0% +18.4 16
2023-07-02 @ Bryne L 1-4 1396 1393 32.0% 18.4% 49.6% -18.4 13
2023-07-02 Start W 2-1 1518 1535 47.8% 18.5% 33.7% +7.8 30
2023-07-02 @ Kongsvinger L 1-2 1535 1518 33.7% 18.5% 47.8% -7.8 20
2023-07-08 Jerv W 5-1 1481 1447 54.3% 18.2% 27.4% +20.8 27
2023-07-08 @ Sogndal L 1-5 1447 1481 27.4% 18.2% 54.3% -20.8 21
2023-07-08 KFUM Oslo L 0-1 1387 1528 30.8% 18.4% 50.8% -7.7 14
2023-07-08 @ Hodd W 1-0 1528 1387 50.8% 18.4% 30.8% +7.7 25
2023-07-08 Kristiansund W 3-2 1378 1540 28.2% 18.3% 53.5% +11.0 16
2023-07-08 @ Raufoss L 2-3 1540 1378 53.5% 18.3% 28.2% -11.0 25
2023-07-08 Mjondalen W 3-0 1527 1443 60.1% 17.9% 22.1% +15.7 23
2023-07-08 @ Start L 0-3 1443 1527 22.1% 17.9% 60.1% -15.7 18
2023-07-08 Sandnes Ulf L 0-5 1398 1435 45.0% 18.5% 36.5% -46.6 20
2023-07-08 @ Ranheim W 5-0 1435 1398 36.5% 18.5% 45.0% +46.6 17
2023-07-09 Bryne W 2-1 1376 1411 45.3% 18.5% 36.2% +8.3 22
2023-07-09 @ Moss L 1-2 1411 1376 36.2% 18.5% 45.3% -8.3 16
2023-07-09 Kongsvinger D 1-1 1521 1526 49.4% 18.4% 32.1% -0.9 29
2023-07-09 @ Fredrikstad D 1-1 1526 1521 32.1% 18.4% 49.4% +0.9 31
2023-07-09 Skeid D 0-0 1358 1347 51.4% 18.4% 30.2% -1.2 11
2023-07-09 @ Asane D 0-0 1347 1358 30.2% 18.4% 51.4% +1.2 11
2023-08-04 Fredrikstad L 1-2 1348 1520 27.1% 18.2% 54.7% -6.5 11
2023-08-04 @ Skeid W 2-1 1520 1348 54.7% 18.2% 27.1% +6.5 32
2023-08-05 Hodd W 3-0 1427 1379 56.0% 18.1% 25.8% +18.1 21
2023-08-05 @ Mjondalen L 0-3 1379 1427 25.8% 18.1% 56.0% -18.1 14
2023-08-05 Moss D 1-1 1426 1384 55.3% 18.2% 26.5% -1.5 22
2023-08-05 @ Jerv D 1-1 1384 1426 26.5% 18.2% 55.3% +1.5 23
2023-08-05 Start D 1-1 1529 1543 48.3% 18.5% 33.3% -0.8 26
2023-08-05 @ Kristiansund D 1-1 1543 1529 33.3% 18.5% 48.3% +0.8 24
2023-08-06 Asane W 2-1 1536 1357 69.0% 16.8% 14.2% +3.6 28
2023-08-06 @ KFUM Oslo L 1-2 1357 1536 14.2% 16.8% 69.0% -3.6 11
2023-08-06 Ranheim W 1-0 1403 1351 56.4% 18.1% 25.5% +6.5 19
2023-08-06 @ Bryne L 0-1 1351 1403 25.5% 18.1% 56.4% -6.5 20
2023-08-06 Raufoss L 1-3 1527 1389 65.4% 17.3% 17.2% -24.3 31
2023-08-06 @ Kongsvinger W 3-1 1389 1527 17.2% 17.3% 65.4% +24.3 19
2023-08-06 Sogndal L 1-2 1482 1502 47.4% 18.5% 34.1% -10.4 17
2023-08-06 @ Sandnes Ulf W 2-1 1502 1482 34.1% 18.5% 47.4% +10.4 30
2023-08-09 Bryne W 2-1 1527 1409 63.5% 17.5% 19.0% +4.7 35
2023-08-09 @ Fredrikstad L 1-2 1409 1527 19.0% 17.5% 63.5% -4.7 19
2023-08-09 Jerv L 2-3 1413 1425 48.5% 18.5% 33.0% -10.1 19
2023-08-09 @ Raufoss W 3-2 1425 1413 33.0% 18.5% 48.5% +10.1 25
2023-08-09 KFUM Oslo L 0-1 1386 1539 29.2% 18.3% 52.4% -7.4 23
2023-08-09 @ Moss W 1-0 1539 1386 52.4% 18.3% 29.2% +7.4 31
2023-08-09 Kongsvinger L 1-4 1345 1502 28.7% 18.3% 52.9% -16.8 20
2023-08-09 @ Ranheim W 4-1 1502 1345 52.9% 18.3% 28.7% +16.8 34
2023-08-09 Mjondalen W 3-2 1353 1445 37.2% 18.5% 44.3% +9.3 14
2023-08-09 @ Asane L 2-3 1445 1353 44.3% 18.5% 37.2% -9.3 21
2023-08-09 Skeid W 3-0 1543 1342 70.8% 16.5% 12.8% +9.3 27
2023-08-09 @ Start L 0-3 1342 1543 12.8% 16.5% 70.8% -9.3 11
2023-08-13 Asane W 3-1 1519 1362 67.1% 17.1% 15.8% +6.8 37
2023-08-13 @ Kongsvinger L 1-3 1362 1519 15.8% 17.1% 67.1% -6.8 14
2023-08-13 Fredrikstad W 2-1 1546 1531 52.0% 18.4% 29.6% +7.0 34
2023-08-13 @ KFUM Oslo L 1-2 1531 1546 29.6% 18.4% 52.0% -7.0 35
2023-08-13 Hodd W 2-1 1405 1361 55.5% 18.2% 26.3% +6.3 22
2023-08-13 @ Bryne L 1-2 1361 1405 26.3% 18.2% 55.5% -6.3 14
2023-08-13 Jerv W 3-1 1528 1435 61.1% 17.8% 21.1% +9.0 29
2023-08-13 @ Kristiansund L 1-3 1435 1528 21.1% 17.8% 61.1% -9.0 25
2023-08-13 Moss W 2-0 1472 1378 61.1% 17.8% 21.2% +10.4 20
2023-08-13 @ Sandnes Ulf L 0-2 1378 1472 21.2% 17.8% 61.1% -10.4 23
2023-08-13 Ranheim L 1-2 1436 1328 62.6% 17.6% 19.8% -13.4 21
2023-08-13 @ Mjondalen W 2-1 1328 1436 19.8% 17.6% 62.6% +13.4 23
2023-08-13 Raufoss L 1-2 1332 1403 40.2% 18.6% 41.2% -9.1 11
2023-08-13 @ Skeid W 2-1 1403 1332 41.2% 18.6% 40.2% +9.1 22
2023-08-13 Sogndal W 2-0 1553 1512 55.1% 18.2% 26.7% +12.8 30
2023-08-13 @ Start L 0-2 1512 1553 26.7% 18.2% 55.1% -12.8 30
2023-08-19 KFUM Oslo W 4-2 1342 1554 22.8% 17.9% 59.3% +19.8 26
2023-08-19 @ Ranheim L 2-4 1554 1342 59.3% 17.9% 22.8% -19.8 34
2023-08-19 Kongsvinger D 3-3 1499 1526 46.5% 18.5% 35.0% -0.4 31
2023-08-19 @ Sogndal D 3-3 1526 1499 35.0% 18.5% 46.5% +0.4 38
2023-08-19 Sandnes Ulf L 0-2 1426 1482 42.3% 18.6% 39.1% -18.9 25
2023-08-19 @ Jerv W 2-0 1482 1426 39.1% 18.6% 42.3% +18.9 23
2023-08-19 Skeid W 2-0 1355 1323 54.0% 18.3% 27.7% +13.3 17
2023-08-19 @ Hodd L 0-2 1323 1355 27.7% 18.3% 54.0% -13.2 11
2023-08-20 Bryne W 2-1 1355 1411 42.4% 18.6% 39.0% +8.8 17
2023-08-20 @ Asane L 1-2 1411 1355 39.0% 18.6% 42.4% -8.9 22
2023-08-20 Kristiansund W 4-1 1524 1537 48.3% 18.5% 33.2% +19.0 38
2023-08-20 @ Fredrikstad L 1-4 1537 1524 33.2% 18.5% 48.3% -19.0 29
2023-08-20 Mjondalen W 4-1 1368 1423 42.5% 18.6% 38.9% +21.6 26
2023-08-20 @ Moss L 1-4 1423 1368 38.9% 18.6% 42.5% -21.6 21
2023-08-20 Start W 2-1 1412 1566 29.2% 18.3% 52.4% +11.4 25
2023-08-20 @ Raufoss L 1-2 1566 1412 52.4% 18.3% 29.2% -11.4 30
2023-08-23 Asane W 1-0 1554 1364 69.9% 16.6% 13.5% +3.6 33
2023-08-23 @ Start L 0-1 1364 1554 13.5% 16.6% 69.9% -3.6 17
2023-08-23 Fredrikstad L 1-2 1526 1543 47.8% 18.5% 33.7% -10.5 38
2023-08-23 @ Kongsvinger W 2-1 1543 1526 33.7% 18.5% 47.8% +10.5 41
2023-08-23 Hodd L 0-1 1534 1368 67.9% 17.0% 15.1% -15.4 34
2023-08-23 @ KFUM Oslo W 1-0 1368 1534 15.1% 17.0% 67.9% +15.4 20
2023-08-23 Jerv D 2-2 1401 1407 49.3% 18.4% 32.3% -0.7 22
2023-08-23 @ Mjondalen D 2-2 1407 1401 32.3% 18.4% 49.3% +0.7 26
2023-08-23 Moss W 3-1 1402 1390 51.7% 18.4% 30.0% +12.3 25
2023-08-23 @ Bryne L 1-3 1390 1402 30.0% 18.4% 51.7% -12.3 26
2023-08-23 Ranheim L 0-1 1310 1361 43.0% 18.6% 38.4% -10.2 11
2023-08-23 @ Skeid W 1-0 1361 1310 38.4% 18.6% 43.0% +10.2 29
2023-08-23 Sandnes Ulf L 0-1 1518 1501 52.3% 18.3% 29.4% -12.0 29
2023-08-23 @ Kristiansund W 1-0 1501 1518 29.4% 18.3% 52.3% +12.1 26
2023-08-23 Sogndal W 3-0 1424 1499 39.6% 18.6% 41.9% +27.2 28
2023-08-23 @ Raufoss L 0-3 1499 1424 41.9% 18.6% 39.6% -27.2 31
2023-08-27 Bryne L 1-3 1408 1414 49.1% 18.4% 32.4% -18.6 26
2023-08-27 @ Jerv W 3-1 1414 1408 32.4% 18.4% 49.1% +18.6 28
2023-08-27 Hodd W 1-0 1554 1383 68.3% 16.9% 14.8% +3.9 44
2023-08-27 @ Fredrikstad L 0-1 1383 1554 14.8% 16.9% 68.3% -4.0 20
2023-08-27 KFUM Oslo D 1-1 1516 1518 49.7% 18.4% 31.9% -0.9 39
2023-08-27 @ Kongsvinger D 1-1 1518 1516 31.9% 18.4% 49.7% +0.9 35
2023-08-27 Mjondalen W 1-0 1513 1400 63.0% 17.6% 19.4% +5.1 29
2023-08-27 @ Sandnes Ulf L 0-1 1400 1513 19.4% 17.6% 63.0% -5.1 22
2023-08-27 Raufoss W 3-1 1361 1451 37.5% 18.6% 43.9% +16.9 20
2023-08-27 @ Asane L 1-3 1451 1361 43.9% 18.6% 37.5% -16.9 28
2023-08-27 Skeid W 2-0 1472 1300 68.4% 16.9% 14.7% +7.4 34
2023-08-27 @ Sogndal L 0-2 1300 1472 14.7% 16.9% 68.4% -7.4 11
2023-08-27 Start D 0-0 1372 1558 25.4% 18.1% 56.4% +1.8 30
2023-08-27 @ Ranheim D 0-0 1558 1372 56.4% 18.1% 25.4% -1.8 34
2023-08-28 Kristiansund L 0-3 1377 1506 32.3% 18.4% 49.3% -22.0 26
2023-08-28 @ Moss W 3-0 1506 1377 49.3% 18.4% 32.3% +21.9 32
2023-09-01 Asane L 1-3 1292 1378 38.2% 18.6% 43.2% -15.1 11
2023-09-01 @ Skeid W 3-1 1378 1292 43.2% 18.6% 38.2% +15.1 23
2023-09-02 Kongsvinger W 2-1 1379 1515 31.5% 18.4% 50.1% +10.9 23
2023-09-02 @ Hodd L 1-2 1515 1379 50.1% 18.4% 31.5% -10.9 39
2023-09-02 Mjondalen D 0-0 1528 1395 65.0% 17.4% 17.6% -2.9 33
2023-09-02 @ Kristiansund D 0-0 1395 1528 17.6% 17.4% 65.0% +2.9 23
2023-09-02 Ranheim L 1-2 1479 1373 62.3% 17.7% 20.0% -13.4 34
2023-09-02 @ Sogndal W 2-1 1373 1479 20.0% 17.7% 62.3% +13.4 33
2023-09-03 Fredrikstad D 2-2 1556 1558 49.8% 18.4% 31.8% -0.7 35
2023-09-03 @ Start D 2-2 1558 1556 31.8% 18.4% 49.8% +0.7 45
2023-09-03 Jerv W 6-2 1519 1389 64.7% 17.4% 17.9% +11.9 38
2023-09-03 @ KFUM Oslo L 2-6 1389 1519 17.9% 17.4% 64.7% -11.9 26
2023-09-03 Moss D 1-1 1434 1355 59.5% 17.9% 22.6% -2.0 29
2023-09-03 @ Raufoss D 1-1 1355 1434 22.6% 17.9% 59.5% +2.0 27
2023-09-03 Sandnes Ulf W 3-0 1433 1518 38.2% 18.6% 43.2% +28.0 31
2023-09-03 @ Bryne L 0-3 1518 1433 43.2% 18.6% 38.2% -28.0 29
2023-09-15 Raufoss L 1-3 1387 1432 43.9% 18.6% 37.5% -16.9 33
2023-09-15 @ Ranheim W 3-1 1432 1387 37.5% 18.6% 43.9% +16.9 32
2023-09-16 KFUM Oslo L 1-2 1490 1531 44.5% 18.5% 37.0% -9.9 29
2023-09-16 @ Sandnes Ulf W 2-1 1531 1490 37.0% 18.5% 44.5% +9.9 41
2023-09-16 Start L 0-1 1377 1555 26.3% 18.2% 55.5% -6.7 26
2023-09-16 @ Jerv W 1-0 1555 1377 55.5% 18.2% 26.3% +6.7 38
2023-09-17 Bryne W 2-1 1398 1461 41.4% 18.6% 40.1% +9.0 26
2023-09-17 @ Mjondalen L 1-2 1461 1398 40.1% 18.6% 41.4% -9.0 31
2023-09-17 Hodd W 1-0 1393 1390 50.3% 18.4% 31.3% +7.8 26
2023-09-17 @ Asane L 0-1 1390 1393 31.3% 18.4% 50.3% -7.8 23
2023-09-17 Kristiansund D 1-1 1504 1525 47.2% 18.5% 34.3% -0.7 40
2023-09-17 @ Kongsvinger D 1-1 1525 1504 34.3% 18.5% 47.2% +0.7 34
2023-09-17 Skeid W 3-0 1357 1277 59.6% 17.9% 22.5% +16.0 30
2023-09-17 @ Moss L 0-3 1277 1357 22.5% 17.9% 59.6% -16.0 11
2023-09-17 Sogndal W 2-1 1558 1466 61.0% 17.8% 21.2% +5.2 48
2023-09-17 @ Fredrikstad L 1-2 1466 1558 21.2% 17.8% 61.0% -5.2 34
2023-09-23 Asane D 1-1 1460 1400 57.4% 18.1% 24.5% -1.8 35
2023-09-23 @ Sogndal D 1-1 1400 1460 24.5% 18.1% 57.4% +1.8 27
2023-09-23 Fredrikstad L 1-2 1370 1564 24.6% 18.1% 57.3% -6.0 33
2023-09-23 @ Ranheim W 2-1 1564 1370 57.3% 18.1% 24.6% +6.0 51
2023-09-23 Jerv D 2-2 1383 1370 51.6% 18.4% 30.0% -0.8 24
2023-09-23 @ Hodd D 2-2 1370 1383 30.0% 18.4% 51.6% +0.8 27
2023-09-23 Kongsvinger L 1-2 1261 1503 19.9% 17.6% 62.5% -4.9 11
2023-09-23 @ Skeid W 2-1 1503 1261 62.5% 17.6% 19.9% +4.9 43
2023-09-24 Kristiansund D 1-1 1452 1526 39.8% 18.6% 41.7% +0.1 32
2023-09-24 @ Bryne D 1-1 1526 1452 41.7% 18.6% 39.8% -0.1 35
2023-09-24 Mjondalen W 1-0 1541 1407 65.1% 17.3% 17.6% +4.7 44
2023-09-24 @ KFUM Oslo L 0-1 1407 1541 17.6% 17.3% 65.1% -4.7 26
2023-09-24 Moss D 0-0 1562 1373 69.8% 16.7% 13.6% -3.5 39
2023-09-24 @ Start D 0-0 1373 1562 13.6% 16.7% 69.8% +3.5 31
2023-09-24 Sandnes Ulf D 1-1 1449 1480 45.8% 18.5% 35.7% -0.5 33
2023-09-24 @ Raufoss D 1-1 1480 1449 35.7% 18.5% 45.8% +0.5 30
2023-09-27 Sandnes Ulf D 1-1 1382 1481 36.3% 18.5% 45.2% +0.5 25
2023-09-27 @ Hodd D 1-1 1481 1382 45.2% 18.5% 36.3% -0.5 31
2023-09-30 KFUM Oslo L 0-2 1526 1546 47.4% 18.5% 34.1% -20.8 35
2023-09-30 @ Kristiansund W 2-0 1546 1526 34.1% 18.5% 47.4% +20.8 47
2023-09-30 Skeid W 2-0 1403 1256 66.2% 17.2% 16.6% +8.3 29
2023-09-30 @ Mjondalen L 0-2 1256 1403 16.6% 17.2% 66.2% -8.3 11
2023-09-30 Sogndal L 1-3 1371 1459 37.9% 18.6% 43.6% -15.0 27
2023-09-30 @ Jerv W 3-1 1459 1371 43.6% 18.6% 37.9% +15.0 38
2023-09-30 Start W 1-0 1480 1558 39.2% 18.6% 42.3% +10.0 34
2023-09-30 @ Sandnes Ulf L 0-1 1558 1480 42.3% 18.6% 39.2% -10.0 39
2023-10-01 Bryne L 1-3 1508 1452 57.0% 18.1% 24.9% -21.3 43
2023-10-01 @ Kongsvinger W 3-1 1452 1508 24.9% 18.1% 57.0% +21.3 35
2023-10-01 Hodd W 3-0 1377 1382 49.3% 18.4% 32.2% +21.9 34
2023-10-01 @ Moss L 0-3 1382 1377 32.2% 18.4% 49.3% -21.9 25
2023-10-01 Ranheim W 3-0 1402 1364 54.9% 18.2% 26.9% +18.8 30
2023-10-01 @ Asane L 0-3 1364 1402 26.9% 18.2% 54.9% -18.8 33
2023-10-01 Raufoss W 3-0 1570 1448 63.9% 17.5% 18.6% +13.4 54
2023-10-01 @ Fredrikstad L 0-3 1448 1570 18.6% 17.5% 63.9% -13.4 33
2023-10-04 Kristiansund L 2-4 1474 1505 45.8% 18.5% 35.7% -15.7 38
2023-10-04 @ Sogndal W 4-2 1505 1474 35.7% 18.5% 45.8% +15.7 38
2023-10-07 Kristiansund L 0-1 1360 1521 28.4% 18.3% 53.3% -7.2 25
2023-10-07 @ Hodd W 1-0 1521 1360 53.3% 18.3% 28.4% +7.2 41
2023-10-07 Mjondalen D 0-0 1435 1411 53.1% 18.3% 28.6% -1.4 34
2023-10-07 @ Raufoss D 0-0 1411 1435 28.6% 18.3% 53.1% +1.4 30
2023-10-07 Moss W 2-1 1458 1399 57.3% 18.1% 24.6% +6.0 41
2023-10-07 @ Sogndal L 1-2 1399 1458 24.6% 18.1% 57.3% -6.0 34
2023-10-07 Sandnes Ulf W 3-0 1248 1490 19.9% 17.6% 62.5% +39.0 14
2023-10-07 @ Skeid L 0-3 1490 1248 62.5% 17.6% 19.9% -39.0 34
2023-10-08 Bryne W 1-0 1567 1473 61.1% 17.8% 21.2% +5.5 50
2023-10-08 @ KFUM Oslo L 0-1 1473 1567 21.2% 17.8% 61.1% -5.5 35
2023-10-08 Fredrikstad L 0-4 1421 1583 28.2% 18.3% 53.5% -25.5 30
2023-10-08 @ Asane W 4-0 1583 1421 53.5% 18.3% 28.2% +25.5 57
2023-10-08 Jerv W 4-2 1345 1356 48.6% 18.5% 33.0% +11.9 36
2023-10-08 @ Ranheim L 2-4 1356 1345 33.0% 18.5% 48.6% -11.9 27
2023-10-08 Kongsvinger W 2-1 1548 1487 57.6% 18.1% 24.4% +5.9 42
2023-10-08 @ Start L 1-2 1487 1548 24.4% 18.1% 57.6% -5.9 43
2023-10-21 Asane W 4-1 1528 1395 65.0% 17.4% 17.7% +10.8 44
2023-10-21 @ Kristiansund L 1-4 1395 1528 17.7% 17.4% 65.0% -10.8 30
2023-10-21 Fredrikstad L 2-3 1451 1609 28.8% 18.3% 52.9% -6.5 34
2023-10-21 @ Sandnes Ulf W 3-2 1609 1451 52.9% 18.3% 28.8% +6.5 60
2023-10-21 Kongsvinger L 0-2 1344 1481 31.3% 18.4% 50.3% -14.7 27
2023-10-21 @ Jerv W 2-0 1481 1344 50.3% 18.4% 31.3% +14.7 46
2023-10-21 Sogndal D 2-2 1353 1464 34.7% 18.5% 46.8% +0.5 26
2023-10-21 @ Hodd D 2-2 1464 1353 46.8% 18.5% 34.7% -0.5 42
2023-10-21 Start W 2-0 1412 1554 30.6% 18.4% 51.0% +22.2 33
2023-10-21 @ Mjondalen L 0-2 1554 1412 51.0% 18.4% 30.6% -22.2 42
2023-10-22 Ranheim L 0-1 1393 1357 54.5% 18.2% 27.2% -12.5 34
2023-10-22 @ Moss W 1-0 1357 1393 27.2% 18.2% 54.5% +12.5 39
2023-10-22 Raufoss D 0-0 1572 1433 65.5% 17.3% 17.2% -3.0 51
2023-10-22 @ KFUM Oslo D 0-0 1433 1572 17.2% 17.3% 65.5% +3.0 35
2023-10-22 Skeid W 1-0 1468 1287 69.1% 16.8% 14.1% +3.8 38
2023-10-22 @ Bryne L 0-1 1287 1468 14.1% 16.8% 69.1% -3.8 14
2023-10-28 Jerv L 0-1 1283 1329 43.8% 18.6% 37.7% -10.3 14
2023-10-28 @ Skeid W 1-0 1329 1283 37.7% 18.6% 43.8% +10.3 30
2023-10-28 KFUM Oslo L 0-3 1463 1569 35.4% 18.5% 46.1% -23.7 42
2023-10-28 @ Sogndal W 3-0 1569 1463 46.1% 18.5% 35.4% +23.7 54
2023-10-28 Kristiansund L 0-2 1370 1539 27.4% 18.2% 54.4% -13.1 39
2023-10-28 @ Ranheim W 2-0 1539 1370 54.4% 18.2% 27.4% +13.1 47
2023-10-29 Bryne W 2-0 1532 1472 57.5% 18.1% 24.5% +11.9 45
2023-10-29 @ Start L 0-2 1472 1532 24.5% 18.1% 57.5% -11.9 38
2023-10-29 Hodd L 0-1 1436 1354 59.9% 17.9% 22.2% -13.7 35
2023-10-29 @ Raufoss W 1-0 1354 1436 22.2% 17.9% 59.9% +13.7 29
2023-10-29 Mjondalen L 1-2 1615 1435 69.1% 16.8% 14.1% -14.8 60
2023-10-29 @ Fredrikstad W 2-1 1435 1615 14.1% 16.8% 69.1% +14.8 36
2023-10-29 Moss W 2-1 1385 1380 50.6% 18.4% 31.0% +7.3 33
2023-10-29 @ Asane L 1-2 1380 1385 31.0% 18.4% 50.6% -7.3 34
2023-10-29 Sandnes Ulf W 4-0 1496 1445 56.4% 18.1% 25.5% +23.4 49
2023-10-29 @ Kongsvinger L 0-4 1445 1496 25.5% 18.1% 56.4% -23.4 34
2023-11-05 Asane D 0-0 1340 1392 42.9% 18.6% 38.5% -0.2 31
2023-11-05 @ Jerv D 0-0 1392 1340 38.5% 18.6% 42.9% +0.2 34
2023-11-05 Fredrikstad D 2-2 1373 1600 21.2% 17.8% 61.0% +1.6 35
2023-11-05 @ Moss D 2-2 1600 1373 61.0% 17.8% 21.2% -1.6 61
2023-11-05 Kongsvinger L 2-3 1449 1519 40.4% 18.6% 41.1% -8.6 36
2023-11-05 @ Mjondalen W 3-2 1519 1449 41.1% 18.6% 40.4% +8.6 52
2023-11-05 Ranheim W 3-2 1421 1356 58.0% 18.0% 24.0% +5.5 37
2023-11-05 @ Sandnes Ulf L 2-3 1356 1421 24.0% 18.0% 58.0% -5.5 39
2023-11-05 Raufoss L 1-2 1552 1423 64.6% 17.4% 18.0% -13.9 47
2023-11-05 @ Kristiansund W 2-1 1423 1552 18.0% 17.4% 64.6% +13.9 38
2023-11-05 Skeid W 1-0 1593 1273 78.3% 14.6% 7.2% +1.9 57
2023-11-05 @ KFUM Oslo L 0-1 1273 1593 7.2% 14.6% 78.3% -1.9 14
2023-11-05 Sogndal W 2-1 1460 1440 52.6% 18.3% 29.1% +6.9 41
2023-11-05 @ Bryne L 1-2 1440 1460 29.1% 18.3% 52.6% -6.9 42
2023-11-05 Start W 2-1 1367 1544 26.5% 18.2% 55.3% +12.0 32
2023-11-05 @ Hodd L 1-2 1544 1367 55.3% 18.2% 26.5% -12.0 45
2023-11-12 Bryne L 0-1 1437 1467 46.0% 18.5% 35.5% -10.8 38
2023-11-12 @ Raufoss W 1-0 1467 1437 35.5% 18.5% 46.0% +10.8 44
2023-11-12 Hodd D 0-0 1351 1379 46.2% 18.5% 35.2% -0.6 40
2023-11-12 @ Ranheim D 0-0 1379 1351 35.2% 18.5% 46.2% +0.6 33
2023-11-12 Jerv W 1-0 1599 1340 74.8% 15.6% 9.7% +2.6 64
2023-11-12 @ Fredrikstad L 0-1 1340 1599 9.7% 15.6% 74.8% -2.6 31
2023-11-12 KFUM Oslo D 1-1 1532 1595 41.4% 18.6% 40.0% -0.1 46
2023-11-12 @ Start D 1-1 1595 1532 40.0% 18.6% 41.4% +0.1 58
2023-11-12 Kristiansund L 0-5 1271 1538 17.7% 17.4% 64.9% -20.7 14
2023-11-12 @ Skeid W 5-0 1538 1271 64.9% 17.4% 17.7% +20.7 50
2023-11-12 Mjondalen D 1-1 1433 1441 49.0% 18.4% 32.5% -0.8 43
2023-11-12 @ Sogndal D 1-1 1441 1433 32.5% 18.4% 49.0% +0.8 37
2023-11-12 Moss L 1-2 1528 1375 66.8% 17.1% 16.1% -14.3 52
2023-11-12 @ Kongsvinger W 2-1 1375 1528 16.1% 17.1% 66.8% +14.3 38
2023-11-12 Sandnes Ulf W 2-0 1392 1427 45.3% 18.5% 36.1% +16.6 37
2023-11-12 @ Asane L 0-2 1427 1392 36.1% 18.5% 45.3% -16.6 37

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
2023-11-25 Bryne L 0-3 1532 1477 56.8% 18.1% 25.1% -35.6 0-1
2023-11-25 @ Start W 3-0 1477 1532 25.1% 18.1% 56.8% +35.6 1-0
2023-11-29 Bryne W 4-2 1559 1513 55.8% 18.2% 26.1% +9.7 1-0
2023-11-29 @ Kristiansund L 2-4 1513 1559 26.1% 18.2% 55.8% -9.7 1-1
2023-12-03 Kristiansund L 2-4 1513 1568 42.5% 18.6% 38.9% -14.7 0-1
2023-12-03 @ Kongsvinger W 4-2 1568 1513 38.9% 18.6% 42.5% +14.7 2-0
2023-12-06 Valerenga L 0-2 1583 1583 50.1% 18.4% 31.5% -21.9 2-1
2023-12-06 @ Kristiansund W 2-0 1583 1583 31.5% 18.4% 50.1% +21.9 1-0
2023-12-10 Kristiansund L 4-5 1605 1561 55.5% 18.2% 26.4% -11.0 1-1
2023-12-10 @ Valerenga W 5-4 1561 1605 26.4% 18.2% 55.5% +11.0 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 2023-10-29 14.12% Mjondalen 1435 2 @ Fredrikstad 1615 1
2 2023-08-23 15.14% Hodd 1368 1 @ KFUM Oslo 1534 0
3 2023-11-12 16.06% Moss 1375 2 @ Kongsvinger 1528 1
4 2023-08-06 17.25% Raufoss 1389 3 @ Kongsvinger 1527 1
5 2023-11-05 17.96% Raufoss 1423 2 @ Kristiansund 1552 1
6 2023-04-30 18.44% Raufoss 1423 3 @ Start 1547 1
7 2023-08-13 19.80% Ranheim 1328 2 @ Mjondalen 1436 1
8 2023-10-07 19.87% @ Skeid 1248 3 Sandnes Ulf 1490 0
9 2023-09-02 20.01% Ranheim 1373 2 @ Sogndal 1479 1
10 2023-07-01 21.14% Moss 1363 2 @ Mjondalen 1456 1
11 2023-04-10 22.02% Fredrikstad 1438 1 @ Kristiansund 1523 0
12 2023-10-29 22.18% Hodd 1354 1 @ Raufoss 1436 0
13 2023-08-19 22.75% @ Ranheim 1342 4 KFUM Oslo 1554 2
14 2023-06-11 23.19% Hodd 1395 3 @ Sandnes Ulf 1468 1
15 2023-04-30 23.32% Hodd 1393 3 @ Kongsvinger 1464 0
16 2023-04-29 24.49% Skeid 1411 4 @ Ranheim 1471 0
17 2023-10-01 24.93% Bryne 1452 3 @ Kongsvinger 1508 1
18 2023-06-04 25.06% Jerv 1425 3 @ Sandnes Ulf 1480 2
19 2023-06-11 25.72% Asane 1343 2 @ Bryne 1392 1
20 2023-11-05 26.52% @ Hodd 1367 2 Start 1544 1
21 2023-05-03 26.75% Kongsvinger 1428 2 @ Sandnes Ulf 1467 1
22 2023-06-24 27.06% Bryne 1380 1 @ Hodd 1417 0
23 2023-10-22 27.22% Ranheim 1357 1 @ Moss 1393 0
24 2023-07-08 28.16% @ Raufoss 1378 3 Kristiansund 1540 2
25 2023-05-03 28.46% Mjondalen 1408 3 @ Jerv 1434 2

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 2023-04-29 47.04 Skeid 4 1411 24.49% @ Ranheim 0 1471 57.45% 18.06%
2 2023-07-08 46.58 Sandnes Ulf 5 1435 36.49% @ Ranheim 0 1398 44.97% 18.54%
3 2023-04-16 40.39 @ Raufoss 4 1381 32.97% KFUM Oslo 0 1505 48.56% 18.47%
4 2023-10-07 39.00 @ Skeid 3 1248 19.87% Sandnes Ulf 0 1490 62.49% 17.64%
5 2023-04-30 36.74 Hodd 3 1393 23.32% @ Kongsvinger 0 1464 58.70% 17.97%
6 2023-05-16 35.06 @ Kongsvinger 5 1432 49.60% Skeid 0 1435 31.97% 18.44%
7 2023-06-11 31.80 KFUM Oslo 4 1496 44.96% @ Skeid 0 1398 36.50% 18.54%
8 2023-09-03 27.98 @ Bryne 3 1433 38.21% Sandnes Ulf 0 1518 43.23% 18.55%
9 2023-08-23 27.25 @ Raufoss 3 1424 39.58% Sogndal 0 1499 41.86% 18.56%
10 2023-04-16 27.04 @ Start 4 1520 51.50% Kristiansund 0 1509 30.13% 18.37%
11 2023-10-08 25.54 Fredrikstad 4 1583 53.50% @ Asane 0 1421 28.21% 18.29%
12 2023-08-06 24.30 Raufoss 3 1389 17.25% @ Kongsvinger 1 1527 65.44% 17.31%
13 2023-04-30 23.82 Raufoss 3 1423 18.44% @ Start 1 1547 64.10% 17.47%
14 2023-10-28 23.72 KFUM Oslo 3 1569 46.10% @ Sogndal 0 1463 35.38% 18.52%
15 2023-05-16 23.41 @ Mjondalen 3 1412 46.66% Raufoss 0 1437 34.83% 18.51%
16 2023-10-29 23.38 @ Kongsvinger 4 1496 56.37% Sandnes Ulf 0 1445 25.50% 18.13%
17 2023-10-21 22.22 @ Mjondalen 2 1412 30.64% Start 0 1554 50.96% 18.39%
18 2023-05-13 22.07 Start 4 1531 41.60% @ Skeid 1 1457 39.84% 18.56%
19 2023-06-11 21.96 Hodd 3 1395 23.19% @ Sandnes Ulf 1 1468 58.85% 17.96%
20 2023-08-28 21.95 Kristiansund 3 1506 49.29% @ Moss 0 1377 32.26% 18.45%
21 2023-10-01 21.93 @ Moss 3 1377 49.31% Hodd 0 1382 32.24% 18.44%
22 2023-08-20 21.64 @ Moss 4 1368 42.53% Mjondalen 1 1423 38.91% 18.56%
23 2023-10-01 21.31 Bryne 3 1452 24.93% @ Kongsvinger 1 1508 56.98% 18.09%
24 2023-09-30 20.84 KFUM Oslo 2 1546 34.09% @ Kristiansund 0 1526 47.41% 18.49%
25 2023-07-08 20.77 @ Sogndal 5 1481 54.33% Jerv 1 1447 27.43% 18.25%