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1999 Tippeligaen Season

182 games

Final

Champion

Rosenborg

56 points

Relegated

No relegation

Biggest Overachiever

Odd Grenland

20.59 points above expected

39 points · 18.41 expected points

Biggest Disappointment

Kongsvinger

10.21 points below expected

20 points · 30.21 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 Rosenborg 26 18 2 6 56 75 33 +42 58.04 -2.04
2 Molde 26 16 2 8 50 49 37 +12 47.73 +2.27
3 Brann 26 16 1 9 49 45 40 +5 42.42 +6.58
4 Lillestrom 26 15 3 8 48 60 41 +19 41.48 +6.52
5 Stabaek 26 14 4 8 46 58 49 +9 46.81 -0.81
6 Tromso 26 13 5 8 44 70 46 +24 37.96 +6.04
7 Odd Grenland 26 12 3 11 39 42 48 -6 18.41 +20.59
8 Viking 26 11 3 12 36 51 48 +3 44.43 -8.43
9 Bodo Glimt 26 10 4 12 34 52 54 -2 38.76 -4.76
10 Moss 26 9 2 15 29 39 46 -7 31.41 -2.41
11 Valerenga 26 8 4 14 28 40 53 -13 36.41 -8.41
12 Stromsgodset 26 7 3 16 24 46 68 -22 30.81 -6.81
13 Skeid 26 7 2 17 23 36 75 -39 20.68 +2.32
14 Kongsvinger 26 6 2 18 20 34 59 -25 30.21 -10.21

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
Rosenborg 1930 56 58.04 -2.04 38.8% 33 48 54 58 62 68 78
Molde 1810 50 47.73 +2.27 65.1% 18 36 43 48 52 59 72
Stabaek 1796 46 46.81 -0.81 47.5% 19 36 42 47 51 58 73
Lillestrom 1773 48 41.48 +6.52 84.5% 17 30 37 42 46 53 65
Viking 1772 36 44.43 -8.43 12.2% 18 33 40 44 49 56 67
Brann 1764 49 42.42 +6.58 84.6% 17 31 38 42 47 54 67
Tromso 1753 44 37.96 +6.04 83.0% 14 27 33 38 43 49 64
Bodo Glimt 1728 34 38.76 -4.76 26.9% 15 28 34 39 44 50 65
Valerenga 1680 28 36.41 -8.41 12.4% 10 25 32 36 41 48 61
Moss 1662 29 31.41 -2.41 39.2% 7 21 27 31 36 43 61
Stromsgodset 1629 24 30.81 -6.81 17.4% 8 20 26 31 35 42 68
Kongsvinger 1615 20 30.21 -10.21 7.2% 3 19 26 30 35 41 61
Odd Grenland 1557 39 18.41 +20.59 100.0% 1 9 14 18 22 28 45
Skeid 1526 23 20.68 +2.32 68.8% 1 11 16 21 25 31 45

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 BG BRA KON LIL MOL MOS OG ROS SKE STA STR TRO VAL VIK
Bodo Glimt —
1-0-1
2.73
1-0-1
3.56
0-0-2
2.73
1-0-1
2.15
1-0-1
3.50
1-0-1
4.45
0-0-2
1.50
2-0-0
4.16
1-0-1
2.32
2-0-0
3.30
0-0-2
2.92
0-2-0
2.96
0-2-0
2.43
Brann
1-0-1
3.04
 —
2-0-0
3.71
0-0-2
3.23
1-0-1
2.35
2-0-0
3.68
1-0-1
4.57
2-0-0
1.57
1-0-1
4.52
1-0-1
2.58
1-1-0
3.72
1-0-1
3.42
2-0-0
3.21
1-0-1
2.71
Kongsvinger
1-0-1
2.21
0-0-2
2.06
 —
0-1-1
1.89
0-0-2
1.65
1-0-1
2.74
1-0-1
3.90
0-0-2
1.11
1-0-1
3.69
0-1-1
1.69
0-0-2
2.80
1-0-1
2.19
1-0-1
2.35
0-0-2
1.88
Lillestrom
2-0-0
3.04
2-0-0
2.54
1-1-0
3.88
 —
0-0-2
2.47
2-0-0
3.65
1-0-1
4.56
1-0-1
1.52
1-1-0
4.46
1-0-1
2.38
1-1-0
3.77
0-0-2
3.26
1-0-1
3.45
2-0-0
2.54
Molde
1-0-1
3.62
1-0-1
3.42
2-0-0
4.13
2-0-0
3.30
 —
2-0-0
3.98
1-1-0
4.80
0-0-2
1.98
2-0-0
4.76
0-1-1
2.99
2-0-0
4.07
2-0-0
3.77
1-0-1
3.65
0-0-2
3.29
Moss
1-0-1
2.27
0-0-2
2.09
1-0-1
3.03
0-0-2
2.12
0-0-2
1.79
 —
1-0-1
3.95
0-0-2
1.08
2-0-0
3.59
1-0-1
1.60
1-0-1
3.03
0-1-1
2.44
2-0-0
2.56
0-1-1
1.85
Odd Grenland
1-0-1
1.33
1-0-1
1.22
1-0-1
1.87
1-0-1
1.22
0-1-1
0.99
1-0-1
1.82
 —
1-1-0
0.59
1-0-1
2.59
2-0-0
0.87
1-1-0
1.85
1-0-1
1.44
0-0-2
1.55
1-0-1
1.07
Rosenborg
2-0-0
4.27
0-0-2
4.20
2-0-0
4.68
1-0-1
4.26
2-0-0
3.79
2-0-0
4.71
0-1-1
5.22
 —
2-0-0
5.18
1-0-1
4.02
2-0-0
4.78
0-1-1
4.40
2-0-0
4.35
2-0-0
4.07
Skeid
0-0-2
1.62
1-0-1
1.27
1-0-1
2.08
0-1-1
1.32
0-0-2
1.03
0-0-2
2.18
1-0-1
3.17
0-0-2
0.63
 —
0-0-2
1.09
1-0-1
1.95
1-0-1
1.53
0-1-1
1.65
2-0-0
1.19
Stabaek
1-0-1
3.45
1-0-1
3.19
1-1-0
4.09
1-0-1
3.39
1-1-0
2.78
1-0-1
4.18
0-0-2
4.93
1-0-1
1.75
2-0-0
4.70
 —
1-0-1
4.00
0-2-0
3.55
2-0-0
3.63
2-0-0
3.15
Stromsgodset
0-0-2
2.47
0-1-1
2.05
2-0-0
2.97
0-1-1
2.00
0-0-2
1.70
1-0-1
2.74
0-1-1
3.92
0-0-2
1.01
1-0-1
3.82
1-0-1
1.77
 —
0-0-2
2.17
1-0-1
2.52
1-0-1
1.81
Tromso
2-0-0
2.85
1-0-1
2.35
1-0-1
3.58
2-0-0
2.51
0-0-2
2.01
1-1-0
3.33
1-0-1
4.34
1-1-0
1.38
1-0-1
4.25
0-2-0
2.22
2-0-0
3.60
 —
1-1-0
3.18
0-0-2
2.43
Valerenga
0-2-0
2.81
0-0-2
2.55
1-0-1
3.42
1-0-1
2.32
1-0-1
2.12
0-0-2
3.21
2-0-0
4.22
0-0-2
1.43
1-1-0
4.12
0-0-2
2.14
1-0-1
3.25
0-1-1
2.59
 —
1-0-1
2.20
Viking
0-2-0
3.34
1-0-1
3.05
2-0-0
3.89
0-0-2
3.23
2-0-0
2.47
1-1-0
3.92
1-0-1
4.72
0-0-2
1.70
0-0-2
4.60
0-0-2
2.62
1-0-1
3.96
2-0-0
3.34
1-0-1
3.57
 —

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 0.57 +7.1
Allowed 0.74 -8.6
Differential 0.83 +4.9

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
01.65%4.95%4.67%2.75%1.92%1.92%17.86%
14.95%4.40%7.42%7.42%2.20%1.10%27.47%
24.67%7.42%2.75%3.85%2.75%1.37%22.80%
32.75%7.42%3.85%1.65%0.82%1.10%17.58%
41.92%2.20%2.75%0.82%0.55%0.27%8.52%
5+1.92%1.10%1.37%1.10%0.27%—5.77%
Total17.86%27.47%22.80%17.58%8.52%5.77%100%

Summary Statistics

Scored Allowed Difference
Mean 1.91 1.91 +0.00
SD 1.50 1.50 2.28
CV 0.78 0.78 —
Max 8 8 +6
Min 0 0 -6

Games Played: 182

↓ Scored | Allowed →012345+Total
0———3.85%——3.85%
13.85%7.69%11.54%7.69%3.85%7.69%42.31%
27.69%——3.85%7.69%—19.23%
3—11.54%—7.69%——19.23%
411.54%—3.85%———15.38%
5+———————
Total23.08%19.23%15.38%23.08%11.54%7.69%100%

Summary Statistics

Scored Allowed Difference
Mean 2.00 2.08 -0.08
SD 1.20 1.70 2.46
CV 0.60 0.82 —
Max 4 6 +4
Min 0 0 -5

Games Played: 26

↓ Scored | Allowed →012345+Total
0—7.69%11.54%——3.85%23.08%
17.69%——7.69%——15.38%
27.69%19.23%3.85%3.85%——34.62%
33.85%11.54%7.69%———23.08%
4———————
5+————3.85%—3.85%
Total19.23%38.46%23.08%11.54%3.85%3.85%100%

Summary Statistics

Scored Allowed Difference
Mean 1.73 1.54 +0.19
SD 1.28 1.27 1.86
CV 0.74 0.83 —
Max 5 5 +3
Min 0 0 -5

Games Played: 26

↓ Scored | Allowed →012345+Total
0—3.85%7.69%7.69%——19.23%
111.54%7.69%11.54%11.54%7.69%—50.00%
2—3.85%—7.69%3.85%3.85%19.23%
3—3.85%————3.85%
43.85%————3.85%7.69%
5+———————
Total15.38%19.23%19.23%26.92%11.54%7.69%100%

Summary Statistics

Scored Allowed Difference
Mean 1.31 2.27 -0.96
SD 1.09 1.59 1.82
CV 0.83 0.70 —
Max 4 6 +4
Min 0 0 -4

Games Played: 26

↓ Scored | Allowed →012345+Total
0—3.85%3.85%—3.85%—11.54%
13.85%7.69%11.54%3.85%3.85%—30.77%
27.69%7.69%————15.38%
33.85%7.69%3.85%———15.38%
4—7.69%7.69%—3.85%—19.23%
5+—3.85%3.85%———7.69%
Total15.38%38.46%30.77%3.85%11.54%—100%

Summary Statistics

Scored Allowed Difference
Mean 2.31 1.58 +0.73
SD 1.72 1.17 2.18
CV 0.74 0.74 —
Max 6 4 +5
Min 0 0 -4

Games Played: 26

↓ Scored | Allowed →012345+Total
07.69%—7.69%———15.38%
115.38%—3.85%7.69%3.85%—30.77%
27.69%7.69%——3.85%—19.23%
37.69%3.85%7.69%—3.85%—23.08%
43.85%——3.85%——7.69%
5+———3.85%——3.85%
Total42.31%11.54%19.23%15.38%11.54%—100%

Summary Statistics

Scored Allowed Difference
Mean 1.88 1.42 +0.46
SD 1.37 1.47 1.84
CV 0.72 1.04 —
Max 5 4 +4
Min 0 0 -3

Games Played: 26

↓ Scored | Allowed →012345+Total
0—19.23%7.69%—3.85%3.85%34.62%
17.69%7.69%—11.54%3.85%—30.77%
23.85%3.85%——3.85%3.85%15.38%
33.85%—————3.85%
4—3.85%————3.85%
5+7.69%—3.85%———11.54%
Total23.08%34.62%11.54%11.54%11.54%7.69%100%

Summary Statistics

Scored Allowed Difference
Mean 1.50 1.77 -0.27
SD 1.75 1.61 2.69
CV 1.17 0.91 —
Max 6 5 +6
Min 0 0 -5

Games Played: 26

↓ Scored | Allowed →012345+Total
07.69%11.54%3.85%7.69%3.85%3.85%38.46%
13.85%—3.85%7.69%——15.38%
2—15.38%3.85%———19.23%
3—7.69%3.85%———11.54%
4——3.85%———3.85%
5+——3.85%7.69%——11.54%
Total11.54%34.62%23.08%23.08%3.85%3.85%100%

Summary Statistics

Scored Allowed Difference
Mean 1.62 1.85 -0.23
SD 1.72 1.26 2.08
CV 1.07 0.68 —
Max 5 5 +3
Min 0 0 -5

Games Played: 26

↓ Scored | Allowed →012345+Total
03.85%—3.85%———7.69%
13.85%—7.69%———11.54%
27.69%7.69%3.85%7.69%——26.92%
33.85%7.69%3.85%——3.85%19.23%
43.85%7.69%7.69%———19.23%
5+7.69%7.69%————15.38%
Total30.77%30.77%26.92%7.69%—3.85%100%

Summary Statistics

Scored Allowed Difference
Mean 2.88 1.27 +1.62
SD 1.73 1.22 2.25
CV 0.60 0.96 —
Max 7 5 +6
Min 0 0 -2

Games Played: 26

↓ Scored | Allowed →012345+Total
0—3.85%3.85%7.69%—11.54%26.92%
17.69%—11.54%11.54%—3.85%34.62%
2—7.69%3.85%—3.85%3.85%19.23%
3—3.85%3.85%——3.85%11.54%
43.85%———3.85%—7.69%
5+———————
Total11.54%15.38%23.08%19.23%7.69%23.08%100%

Summary Statistics

Scored Allowed Difference
Mean 1.38 2.88 -1.50
SD 1.24 2.12 2.61
CV 0.89 0.74 —
Max 4 8 +4
Min 0 0 -6

Games Played: 26

↓ Scored | Allowed →012345+Total
03.85%—3.85%—3.85%—11.54%
1—7.69%3.85%——3.85%15.38%
23.85%7.69%—7.69%—3.85%23.08%
33.85%19.23%11.54%3.85%3.85%—42.31%
4——3.85%———3.85%
5+3.85%—————3.85%
Total15.38%34.62%23.08%11.54%7.69%7.69%100%

Summary Statistics

Scored Allowed Difference
Mean 2.23 1.88 +0.35
SD 1.24 1.56 2.21
CV 0.56 0.83 —
Max 5 6 +5
Min 0 0 -5

Games Played: 26

↓ Scored | Allowed →012345+Total
0—3.85%3.85%7.69%3.85%—19.23%
13.85%3.85%7.69%11.54%——26.92%
2—3.85%7.69%7.69%3.85%3.85%26.92%
3—3.85%3.85%——7.69%15.38%
4——3.85%3.85%——7.69%
5+——3.85%———3.85%
Total3.85%15.38%30.77%30.77%7.69%11.54%100%

Summary Statistics

Scored Allowed Difference
Mean 1.77 2.62 -0.85
SD 1.37 1.39 1.83
CV 0.77 0.53 —
Max 5 6 +3
Min 0 0 -4

Games Played: 26

↓ Scored | Allowed →012345+Total
0————3.85%—3.85%
1—7.69%15.38%11.54%——34.62%
2—7.69%7.69%———15.38%
3—7.69%3.85%3.85%——15.38%
4—7.69%3.85%———11.54%
5+7.69%3.85%3.85%3.85%——19.23%
Total7.69%34.62%34.62%19.23%3.85%—100%

Summary Statistics

Scored Allowed Difference
Mean 2.69 1.77 +0.92
SD 1.95 0.99 2.48
CV 0.73 0.56 —
Max 8 4 +6
Min 0 0 -4

Games Played: 26

↓ Scored | Allowed →012345+Total
0—3.85%3.85%3.85%3.85%3.85%19.23%
1—7.69%11.54%7.69%3.85%—30.77%
27.69%7.69%7.69%3.85%3.85%—30.77%
37.69%3.85%——3.85%—15.38%
4——3.85%———3.85%
5+———————
Total15.38%23.08%26.92%15.38%15.38%3.85%100%

Summary Statistics

Scored Allowed Difference
Mean 1.54 2.04 -0.50
SD 1.10 1.43 2.10
CV 0.72 0.70 —
Max 4 5 +3
Min 0 0 -5

Games Played: 26

↓ Scored | Allowed →012345+Total
0—11.54%3.85%———15.38%
1—3.85%3.85%3.85%3.85%—15.38%
211.54%3.85%—11.54%7.69%—34.62%
33.85%11.54%3.85%7.69%——26.92%
4—3.85%—3.85%——7.69%
5+———————
Total15.38%34.62%11.54%26.92%11.54%—100%

Summary Statistics

Scored Allowed Difference
Mean 1.96 1.85 +0.12
SD 1.18 1.32 1.75
CV 0.60 0.71 —
Max 4 4 +3
Min 0 0 -3

Games Played: 26

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 Odd Grenland 39 18.41 +20.59
2 Brann 49 42.42 +6.58
3 Lillestrom 48 41.48 +6.52
4 Tromso 44 37.96 +6.04
5 Skeid 23 20.68 +2.32

Biggest Disappointments

# Team Actual Sim vsSim
1 Kongsvinger 20 30.21 -10.21
2 Viking 36 44.43 -8.43
3 Valerenga 28 36.41 -8.41
4 Stromsgodset 24 30.81 -6.81
5 Bodo Glimt 34 38.76 -4.76

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 Odd Grenland 3 Apr 11 – Apr 23 1 in 156
2 Brann 5 Jun 13 – Jul 7 1 in 129
3 Stabaek 4 Sep 18 – Oct 24 1 in 55
4 Lillestrom 3 Apr 11 – Apr 23 1 in 42
5 Rosenborg 8 May 2 – Jun 20 1 in 28

Most Unlikely Losing Streaks

# Team Games Dates Probability
1 Viking 5 May 24 – Jun 27 1 in 166
2 Stabaek 3 Jul 11 – Aug 1 1 in 149
3 Kongsvinger 7 Apr 11 – May 16 1 in 64
4 Rosenborg 2 Oct 16 – Oct 24 1 in 62
5 Stromsgodset 6 Apr 18 – May 16 1 in 44

Most Unlikely Unbeaten Streaks

# Team Games Dates Probability
1 Odd Grenland 3 Apr 11 – Apr 23 1 in 35
2 Bodo Glimt 6 Jun 20 – Aug 1 1 in 28
3 Skeid 3 May 16 – Jun 9 1 in 28
4 Brann 6 Aug 8 – Sep 11 1 in 25
5 Tromso 6 Aug 29 – Oct 23 1 in 18

Most Unlikely Winless Streaks

# Team Games Dates Probability
1 Valerenga 10 Jun 13 – Aug 15 1 in 459
2 Stabaek 6 Jul 11 – Aug 22 1 in 356
3 Viking 5 May 24 – Jun 27 1 in 37
4 Tromso 5 Aug 1 – Aug 25 1 in 27
5 Kongsvinger 7 Apr 11 – May 16 1 in 17

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).

Team1234567891011121314
Rosenborg73.32%16.01%5.78%2.88%1.18%0.51%0.24%0.07%0.01%—————
Molde9.51%24.56%19.83%13.90%11.11%7.57%5.82%3.70%2.06%1.13%0.53%0.18%0.09%0.01%
Brann2.37%8.21%11.96%13.98%13.88%12.97%11.84%8.69%6.39%5.27%2.96%1.20%0.25%0.03%
Lillestrom1.99%7.63%10.41%13.28%13.42%13.20%11.30%9.96%7.94%5.53%3.23%1.68%0.38%0.05%
Stabaek7.12%21.34%19.14%15.28%11.53%9.62%6.83%3.97%2.76%1.41%0.70%0.26%0.03%0.01%
Tromso0.67%3.26%5.68%7.82%9.93%11.99%12.86%13.26%11.95%10.13%6.86%4.05%1.25%0.29%
Odd Grenland——0.01%0.01%0.02%0.03%0.07%0.34%0.69%1.82%4.42%11.31%30.00%51.28%
Viking3.92%12.92%15.43%15.29%13.76%11.68%9.60%7.56%4.67%2.62%1.64%0.79%0.12%—
Bodo Glimt0.74%3.50%5.92%8.51%10.83%11.62%13.13%13.11%12.21%9.49%6.31%3.28%1.03%0.32%
Moss0.03%0.29%0.81%1.64%3.06%4.45%6.11%9.12%12.50%16.85%18.45%16.09%7.95%2.65%
Valerenga0.27%1.88%3.84%5.07%6.99%9.57%11.32%13.73%14.93%12.77%10.15%6.40%2.43%0.65%
Stromsgodset0.02%0.22%0.70%1.30%2.15%3.64%5.70%8.25%11.65%15.39%18.55%19.71%9.61%3.11%
Skeid——0.01%0.01%0.02%0.06%0.31%0.43%1.46%3.06%6.51%14.63%36.18%37.32%
Kongsvinger0.04%0.18%0.48%1.03%2.12%3.09%4.87%7.81%10.78%14.53%19.69%20.42%10.68%4.28%

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
+15.38%
Clear Edge
52.20%10.99%36.81%
Elo Value
Home Edge
196 Elo
0.005 goals per Elo point
053.88500
Scoring Tilt
Expected
+0.43 goals
Neutral
-2+0.28+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 7th * Longshot: 8th 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
1.8
One-Team Race
124610
Champion Preseason Odds
73%
Rosenborg, 1st of 14
LongshotFavorite
Title Margin
Expected
0.23/gm
Tight Race
00.260.5/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 5.3 * Some Luck: 5.3 to 7.95 * Lucky: 7.95 to 10.61 * Wild Swing: 10.61 and up.
Average Finish Error
Average gap between where each team was projected to finish and where they actually finished in the table.
Pinpoint: under 1.4 * Close: 1.4 to 2.1 * Off: 2.1 to 2.8 * Way Off: 2.8 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 14 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 14 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 14 * As Expected: 14 to 22.4 * Several Outliers: 22.4 to 30.8 * Many Outliers: 30.8 and up.
Luck Spread
Expected
7.94 points
Some Luck
06.6317
Average Finish Error
Expected
1.86
Close
01.754
Biggest Overachiever
Expected 96.43%
99.96%
Odd Grenland
50100
Biggest Underachiever
Expected 3.57%
7.23%
Kongsvinger
050
Season Outliers
Expected
1 of 14
Minimal Outliers
01.47

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
1.51
Moderate Separation
01.003
Interquartile Edge
69%
Slight Edge
50%60%70%80%100%
Best vs. Worst
Baseline
91%
Strong Edge
50%91%100%
Close Games
Expected
46%
Frequent
0%49%100%
Blowouts
Expected
23%
Very Frequent
0%27%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
0.56
Highly Predictable
00.522
Matchup Imbalance
0.37
Lopsided
00.10.180.280.5
Strangeness
Expected
1.60
Chaotic
01.002
Repeatability
0.65
Strong Carryover
00.30.60.851
Upset Rate
Expected
31%
As Expected
0%28%50%
Clear Favorite Upset Rate
Expected
29%
Shaky Favorites
0%23%50%

Calibration

How these are measured

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

Probability calibration
An all-in-one chi-square test of the model's probabilities. Matches are grouped by how confident the model was, and within each group the predicted and actual counts of home wins, draws, and away wins are compared. The p-value is plotted; above 0.05 means well-calibrated.
Miscalibrated: under 0.05 * Borderline: 0.05 to 0.1 * Well Calibrated: 0.1 to 0.5 * Excellent: 0.5 and up.
Calibration slope
Checks whether the spread of the probabilities is right. Each probability is turned into log-odds and a line is fit predicting the actual results. A slope of 1.00 is perfect; below 1 is overconfidence (favorites lost more than their odds implied); above 1 is under-confidence.
Overconfident: under 0.85 * Calibrated: 0.85 to 1.15 * Underconfident: 1.15 to 1.3 * Very Underconfident: 1.3 and up.
Calibration error (ECE)
The average gap between the model's stated chances and how often the predicted result actually happened. Smaller is better. The gold line is the noise ceiling, the error luck alone can produce even with perfect probabilities; below it, the model's error is no larger than chance.
Well Within Noise: under 0.12 * Near Noise Ceiling: 0.12 to 0.18 * Above Noise: 0.18 to 0.23 * Well Above Noise: 0.23 and up.
Probability calibration
0.69
Excellent
0.010.050.10.51
Calibration slope
Ideal
0.60
Overconfident
0.4764931.001.52351
Calibration error (ECE)
Noise ceiling
0.100
Well Within Noise
00.1170.3

Next-Season Status

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

Team Same level Qualified for relegation playoff Direct relegation
Rosenborg 100% — —
Stabaek 99.70% 0.26% 0.04%
Molde 99.72% 0.18% 0.10%
Viking 99.09% 0.79% 0.12%
Brann 98.52% 1.20% 0.28%
Lillestrom 97.89% 1.68% 0.43%
Bodo Glimt 95.37% 3.28% 1.35%
Tromso 94.41% 4.05% 1.54%
Valerenga 90.52% 6.40% 3.08%
Moss 73.31% 16.09% 10.60%
Stromsgodset 67.57% 19.71% 12.72%
Kongsvinger 64.62% 20.42% 14.96%
Skeid 11.87% 14.63% 73.50%
Odd Grenland 7.41% 11.31% 81.28%

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
1999-04-10 Tromso W 4-0 1809 1686 66.6% 11.2% 22.2% +9.3 3
1999-04-10 @ Molde L 0-4 1686 1809 22.2% 11.2% 66.6% -9.3 0
1999-04-10 Bodo Glimt D 1-1 1721 1739 49.3% 11.6% 39.0% -0.3 1
1999-04-10 @ Valerenga D 1-1 1739 1721 39.0% 11.6% 49.3% +0.3 1
1999-04-11 Lillestrom L 1-3 1768 1712 59.0% 11.5% 29.5% -10.5 0
1999-04-11 @ Brann W 3-1 1712 1768 29.5% 11.5% 59.0% +10.5 3
1999-04-11 Moss W 5-0 1899 1655 77.0% 10.4% 12.6% +6.6 3
1999-04-11 @ Rosenborg L 0-5 1655 1899 12.6% 10.4% 77.0% -6.6 0
1999-04-11 Skeid W 5-0 1812 1558 77.8% 10.3% 11.9% +6.3 3
1999-04-11 @ Stabaek L 0-5 1558 1812 11.9% 10.3% 77.8% -6.3 0
1999-04-11 Kongsvinger W 2-1 1691 1671 54.5% 11.6% 34.0% +3.7 3
1999-04-11 @ Stromsgodset L 1-2 1671 1691 34.0% 11.6% 54.5% -3.6 0
1999-04-11 Odd Grenland L 1-2 1786 1488 80.4% 10.0% 9.6% -8.2 0
1999-04-11 @ Viking W 2-1 1488 1786 9.6% 10.0% 80.4% +8.2 3
1999-04-17 Rosenborg W 3-2 1723 1906 27.2% 11.4% 61.4% +5.9 6
1999-04-17 @ Lillestrom L 2-3 1906 1723 61.4% 11.4% 27.2% -6.0 3
1999-04-18 Stromsgodset W 3-1 1739 1695 57.6% 11.5% 30.9% +5.8 4
1999-04-18 @ Bodo Glimt L 1-3 1695 1739 30.9% 11.5% 57.6% -5.8 3
1999-04-18 Molde L 2-3 1667 1818 31.0% 11.5% 57.5% -3.2 0
1999-04-18 @ Kongsvinger W 3-2 1818 1667 57.5% 11.5% 31.0% +3.2 6
1999-04-18 Viking L 0-2 1649 1778 33.8% 11.6% 54.6% -7.3 0
1999-04-18 @ Moss W 2-0 1778 1649 54.6% 11.6% 33.8% +7.3 3
1999-04-18 Stabaek W 3-2 1497 1818 14.5% 10.6% 74.8% +7.2 6
1999-04-18 @ Odd Grenland L 2-3 1818 1497 74.8% 10.6% 14.5% -7.2 3
1999-04-18 Brann W 5-0 1677 1757 40.4% 11.6% 48.0% +23.3 3
1999-04-18 @ Tromso L 0-5 1757 1677 48.0% 11.6% 40.4% -23.3 0
1999-04-19 Valerenga L 0-2 1551 1721 28.8% 11.5% 59.8% -6.3 0
1999-04-19 @ Skeid W 2-0 1721 1551 59.8% 11.5% 28.8% +6.3 4
1999-04-23 Kongsvinger W 5-4 1734 1664 60.8% 11.4% 27.8% +2.8 3
1999-04-23 @ Brann L 4-5 1664 1734 27.8% 11.4% 60.8% -2.8 0
1999-04-23 Bodo Glimt W 2-1 1821 1745 61.5% 11.4% 27.1% +3.0 9
1999-04-23 @ Molde L 1-2 1745 1821 27.1% 11.4% 61.5% -3.0 4
1999-04-23 Skeid W 2-1 1504 1545 46.0% 11.7% 42.4% +4.5 9
1999-04-23 @ Odd Grenland L 1-2 1545 1504 42.4% 11.7% 46.0% -4.5 0
1999-04-23 Tromso D 2-2 1900 1700 73.7% 10.7% 15.6% -1.2 4
1999-04-23 @ Rosenborg D 2-2 1700 1900 15.6% 10.7% 73.7% +1.2 4
1999-04-23 Moss W 3-1 1811 1641 71.2% 10.9% 17.9% +3.5 6
1999-04-23 @ Stabaek L 1-3 1641 1811 17.9% 10.9% 71.2% -3.5 0
1999-04-23 Valerenga L 0-3 1689 1727 46.4% 11.7% 42.0% -14.0 3
1999-04-23 @ Stromsgodset W 3-0 1727 1689 42.0% 11.7% 46.4% +14.0 7
1999-04-23 Lillestrom L 2-4 1785 1729 59.1% 11.5% 29.4% -9.4 3
1999-04-23 @ Viking W 4-2 1729 1785 29.4% 11.5% 59.1% +9.4 9
1999-05-02 Brann L 1-3 1742 1737 52.5% 11.6% 35.9% -9.4 4
1999-05-02 @ Bodo Glimt W 3-1 1737 1742 35.9% 11.6% 52.5% +9.4 6
1999-05-02 Rosenborg L 0-1 1661 1899 21.5% 11.2% 67.3% -2.5 0
1999-05-02 @ Kongsvinger W 1-0 1899 1661 67.3% 11.2% 21.5% +2.5 7
1999-05-02 Stabaek L 1-2 1738 1815 40.9% 11.7% 47.4% -4.3 9
1999-05-02 @ Lillestrom W 2-1 1815 1738 47.4% 11.7% 40.9% +4.3 9
1999-05-02 Odd Grenland W 1-0 1638 1508 67.3% 11.2% 21.5% +2.5 3
1999-05-02 @ Moss L 0-1 1508 1638 21.5% 11.2% 67.3% -2.5 9
1999-05-02 Stromsgodset W 4-0 1541 1675 33.2% 11.6% 55.3% +21.5 3
1999-05-02 @ Skeid L 0-4 1675 1541 55.3% 11.6% 33.2% -21.6 3
1999-05-02 Viking L 1-3 1701 1776 41.2% 11.7% 47.2% -7.5 4
1999-05-02 @ Tromso W 3-1 1776 1701 47.2% 11.7% 41.2% +7.5 6
1999-05-03 Molde W 2-0 1742 1824 40.1% 11.6% 48.3% +10.0 10
1999-05-03 @ Valerenga L 0-2 1824 1742 48.3% 11.6% 40.1% -10.0 9
1999-05-08 Bodo Glimt W 6-1 1901 1733 71.0% 10.9% 18.1% +7.8 10
1999-05-08 @ Rosenborg L 1-6 1733 1901 18.1% 10.9% 71.0% -7.8 4
1999-05-09 Valerenga W 2-1 1746 1752 51.0% 11.6% 37.4% +4.0 9
1999-05-09 @ Brann L 1-2 1752 1746 37.4% 11.6% 51.0% -4.0 10
1999-05-09 Stromsgodset W 3-0 1814 1653 70.4% 11.0% 18.7% +6.0 12
1999-05-09 @ Molde L 0-3 1653 1814 18.7% 11.0% 70.4% -6.0 3
1999-05-09 Lillestrom L 0-2 1506 1734 22.5% 11.2% 66.3% -5.0 9
1999-05-09 @ Odd Grenland W 2-0 1734 1506 66.3% 11.2% 22.5% +5.0 12
1999-05-09 Moss L 0-6 1562 1641 40.7% 11.7% 47.7% -23.9 3
1999-05-09 @ Skeid W 6-0 1641 1562 47.7% 11.7% 40.7% +23.9 6
1999-05-09 Tromso D 1-1 1819 1694 66.9% 11.2% 21.9% -1.2 10
1999-05-09 @ Stabaek D 1-1 1694 1819 21.9% 11.2% 66.9% +1.2 5
1999-05-09 Kongsvinger W 3-0 1784 1658 66.8% 11.2% 22.0% +7.1 9
1999-05-09 @ Viking L 0-3 1658 1784 22.0% 11.2% 66.8% -7.1 0
1999-05-12 Rosenborg L 0-5 1748 1909 29.8% 11.5% 58.7% -15.2 10
1999-05-12 @ Valerenga W 5-0 1909 1748 58.7% 11.5% 29.8% +15.2 13
1999-05-13 Viking D 3-3 1725 1791 42.5% 11.7% 45.9% +0.1 5
1999-05-13 @ Bodo Glimt D 3-3 1791 1725 45.9% 11.7% 42.5% -0.1 10
1999-05-13 Stabaek L 1-3 1651 1818 29.2% 11.5% 59.4% -5.5 0
1999-05-13 @ Kongsvinger W 3-1 1818 1651 59.4% 11.5% 29.2% +5.5 13
1999-05-13 Moss W 1-0 1739 1664 61.2% 11.4% 27.4% +3.2 15
1999-05-13 @ Lillestrom L 0-1 1664 1739 27.4% 11.4% 61.2% -3.2 6
1999-05-13 Skeid W 3-0 1820 1538 79.5% 10.1% 10.4% +3.4 15
1999-05-13 @ Molde L 0-3 1538 1820 10.4% 10.1% 79.5% -3.4 3
1999-05-13 Brann L 1-2 1647 1750 37.3% 11.6% 51.1% -4.0 3
1999-05-13 @ Stromsgodset W 2-1 1750 1647 51.1% 11.6% 37.3% +4.0 12
1999-05-13 Odd Grenland W 5-0 1695 1501 73.2% 10.8% 16.0% +8.4 8
1999-05-13 @ Tromso L 0-5 1501 1695 16.0% 10.8% 73.2% -8.4 9
1999-05-16 Molde L 0-1 1754 1824 41.9% 11.7% 46.4% -4.7 12
1999-05-16 @ Brann W 1-0 1824 1754 46.4% 11.7% 41.9% +4.7 18
1999-05-16 Tromso L 2-4 1661 1703 45.9% 11.7% 42.4% -7.4 6
1999-05-16 @ Moss W 4-2 1703 1661 42.4% 11.7% 45.9% +7.4 11
1999-05-16 Kongsvinger W 3-1 1492 1646 30.8% 11.5% 57.8% +10.3 12
1999-05-16 @ Odd Grenland L 1-3 1646 1492 57.8% 11.5% 30.8% -10.3 0
1999-05-16 Stromsgodset W 3-1 1924 1643 79.4% 10.1% 10.5% +2.0 16
1999-05-16 @ Rosenborg L 1-3 1643 1924 10.5% 10.1% 79.4% -2.0 3
1999-05-16 Lillestrom D 4-4 1535 1742 24.6% 11.3% 64.1% +0.6 4
1999-05-16 @ Skeid D 4-4 1742 1535 64.1% 11.3% 24.6% -0.6 16
1999-05-16 Bodo Glimt W 3-2 1823 1725 64.0% 11.3% 24.7% +2.6 16
1999-05-16 @ Stabaek L 2-3 1725 1823 24.7% 11.3% 64.0% -2.6 5
1999-05-16 Valerenga W 2-0 1791 1732 59.3% 11.5% 29.2% +6.4 13
1999-05-16 @ Viking L 0-2 1732 1791 29.2% 11.5% 59.3% -6.4 10
1999-05-24 Odd Grenland W 4-0 1722 1503 75.3% 10.6% 14.1% +6.0 8
1999-05-24 @ Bodo Glimt L 0-4 1503 1722 14.1% 10.6% 75.3% -6.0 12
1999-05-24 Skeid L 0-1 1749 1535 74.8% 10.6% 14.5% -8.1 12
1999-05-24 @ Brann W 1-0 1535 1749 14.5% 10.6% 74.8% +8.1 7
1999-05-24 Moss W 1-0 1636 1654 49.2% 11.6% 39.1% +4.4 3
1999-05-24 @ Kongsvinger L 0-1 1654 1636 39.1% 11.6% 49.2% -4.4 6
1999-05-24 Rosenborg L 0-2 1828 1926 38.0% 11.6% 50.4% -8.1 18
1999-05-24 @ Molde W 2-0 1926 1828 50.4% 11.6% 38.0% +8.1 19
1999-05-24 Viking W 1-0 1641 1797 30.5% 11.5% 58.0% +6.3 6
1999-05-24 @ Stromsgodset L 0-1 1797 1641 58.0% 11.5% 30.5% -6.3 13
1999-05-24 Lillestrom W 4-1 1711 1741 47.5% 11.7% 40.9% +10.6 14
1999-05-24 @ Tromso L 1-4 1741 1711 40.9% 11.7% 47.5% -10.6 16
1999-05-24 Stabaek L 1-3 1726 1826 37.7% 11.6% 50.7% -7.0 10
1999-05-24 @ Valerenga W 3-1 1826 1726 50.7% 11.6% 37.7% +7.0 19
1999-06-09 Bodo Glimt W 4-1 1649 1728 40.6% 11.7% 47.8% +12.2 9
1999-06-09 @ Moss L 1-4 1728 1649 47.8% 11.7% 40.6% -12.2 8
1999-06-09 Valerenga L 0-3 1497 1719 23.0% 11.2% 65.8% -7.4 12
1999-06-09 @ Odd Grenland W 3-0 1719 1497 65.8% 11.2% 23.0% +7.4 13
1999-06-09 Tromso W 2-1 1544 1721 27.9% 11.4% 60.7% +6.2 10
1999-06-09 @ Skeid L 1-2 1721 1544 60.7% 11.4% 27.9% -6.2 14
1999-06-12 Stabaek D 0-0 1820 1833 50.0% 11.6% 38.3% -0.3 19
1999-06-12 @ Molde D 0-0 1833 1820 38.3% 11.6% 50.0% +0.3 20
1999-06-13 Lillestrom L 1-2 1716 1731 49.8% 11.6% 38.6% -5.1 8
1999-06-13 @ Bodo Glimt W 2-1 1731 1716 38.6% 11.6% 49.8% +5.1 19
1999-06-13 Viking W 1-0 1741 1791 44.8% 11.7% 43.5% +4.9 15
1999-06-13 @ Brann L 0-1 1791 1741 43.5% 11.7% 44.8% -4.8 13
1999-06-13 Tromso W 3-1 1640 1715 41.2% 11.7% 47.2% +8.5 6
1999-06-13 @ Kongsvinger L 1-3 1715 1640 47.2% 11.7% 41.2% -8.5 14
1999-06-13 Skeid W 3-0 1934 1550 84.7% 9.2% 6.2% +2.0 22
1999-06-13 @ Rosenborg L 0-3 1550 1934 6.2% 9.2% 84.7% -2.0 10
1999-06-13 Odd Grenland L 3-5 1647 1489 70.1% 11.0% 18.9% -10.5 6
1999-06-13 @ Stromsgodset W 5-3 1489 1647 18.9% 11.0% 70.1% +10.5 15
1999-06-13 Moss L 1-2 1726 1662 60.1% 11.4% 28.4% -6.2 13
1999-06-13 @ Valerenga W 2-1 1662 1726 28.4% 11.4% 60.1% +6.2 12
1999-06-16 Valerenga W 4-1 1736 1720 53.8% 11.6% 34.6% +9.1 22
1999-06-16 @ Lillestrom L 1-4 1720 1736 34.6% 11.6% 53.8% -9.1 13
1999-06-16 Stromsgodset L 2-5 1668 1637 55.8% 11.6% 32.6% -12.2 12
1999-06-16 @ Moss W 5-2 1637 1668 32.6% 11.6% 55.8% +12.2 9
1999-06-16 Molde D 0-0 1500 1820 14.6% 10.6% 74.7% +1.8 16
1999-06-16 @ Odd Grenland D 0-0 1820 1500 74.7% 10.6% 14.6% -1.8 20
1999-06-16 Kongsvinger L 0-1 1548 1649 37.6% 11.6% 50.8% -4.3 10
1999-06-16 @ Skeid W 1-0 1649 1548 50.8% 11.6% 37.6% +4.3 9
1999-06-16 Bodo Glimt W 5-1 1706 1711 51.1% 11.6% 37.3% +12.6 17
1999-06-16 @ Tromso L 1-5 1711 1706 37.3% 11.6% 51.1% -12.6 8
1999-06-16 Rosenborg L 0-2 1786 1936 31.1% 11.5% 57.4% -6.8 13
1999-06-16 @ Viking W 2-0 1936 1786 57.4% 11.5% 31.1% +6.8 25
1999-06-17 Brann L 2-3 1833 1746 62.7% 11.4% 25.9% -6.1 20
1999-06-17 @ Stabaek W 3-2 1746 1833 25.9% 11.4% 62.7% +6.1 18
1999-06-19 Lillestrom D 1-1 1649 1745 38.3% 11.6% 50.1% +0.3 10
1999-06-19 @ Stromsgodset D 1-1 1745 1649 50.1% 11.6% 38.3% -0.3 23
1999-06-20 Kongsvinger W 2-0 1699 1653 57.8% 11.5% 30.7% +6.7 11
1999-06-20 @ Bodo Glimt L 0-2 1653 1699 30.7% 11.5% 57.8% -6.7 9
1999-06-20 Odd Grenland W 3-0 1752 1502 77.5% 10.3% 12.2% +4.0 21
1999-06-20 @ Brann L 0-3 1502 1752 12.2% 10.3% 77.5% -4.0 16
1999-06-20 Moss W 3-1 1818 1656 70.5% 11.0% 18.5% +3.6 23
1999-06-20 @ Molde L 1-3 1656 1818 18.5% 11.0% 70.5% -3.6 12
1999-06-20 Stabaek W 2-1 1943 1827 65.9% 11.2% 22.9% +2.5 28
1999-06-20 @ Rosenborg L 1-2 1827 1943 22.9% 11.2% 65.9% -2.5 20
1999-06-20 Skeid L 0-1 1779 1544 76.4% 10.5% 13.1% -8.3 13
1999-06-20 @ Viking W 1-0 1544 1779 13.1% 10.5% 76.4% +8.3 13
1999-06-26 Rosenborg D 0-0 1498 1945 7.8% 9.6% 82.7% +2.3 17
1999-06-26 @ Odd Grenland D 0-0 1945 1498 82.7% 9.6% 7.8% -2.3 29
1999-06-27 Molde L 0-1 1745 1822 40.9% 11.7% 47.5% -4.6 23
1999-06-27 @ Lillestrom W 1-0 1822 1745 47.5% 11.7% 40.9% +4.6 26
1999-06-27 Brann L 0-2 1652 1756 37.1% 11.6% 51.3% -7.9 12
1999-06-27 @ Moss W 2-0 1756 1652 51.3% 11.6% 37.1% +7.9 24
1999-06-27 Bodo Glimt L 1-3 1552 1705 30.8% 11.5% 57.8% -5.8 13
1999-06-27 @ Skeid W 3-1 1705 1552 57.8% 11.5% 30.8% +5.8 14
1999-06-27 Viking W 3-1 1825 1771 58.8% 11.5% 29.8% +5.6 23
1999-06-27 @ Stabaek L 1-3 1771 1825 29.8% 11.5% 58.8% -5.6 13
1999-06-27 Stromsgodset W 3-2 1719 1649 60.7% 11.4% 27.9% +2.9 20
1999-06-27 @ Tromso L 2-3 1649 1719 27.9% 11.4% 60.7% -2.9 10
1999-07-03 Molde L 1-2 1722 1826 37.1% 11.6% 51.3% -4.0 20
1999-07-03 @ Tromso W 2-1 1826 1722 51.3% 11.6% 37.1% +4.0 29
1999-07-04 Valerenga D 1-1 1711 1711 51.7% 11.6% 36.7% -0.4 15
1999-07-04 @ Bodo Glimt D 1-1 1711 1711 36.7% 11.6% 51.7% +0.4 14
1999-07-04 Stromsgodset L 2-4 1646 1647 51.7% 11.6% 36.7% -8.3 9
1999-07-04 @ Kongsvinger W 4-2 1647 1646 36.7% 11.6% 51.7% +8.3 13
1999-07-04 Rosenborg L 1-4 1644 1943 16.2% 10.8% 73.0% -4.4 12
1999-07-04 @ Moss W 4-1 1943 1644 73.0% 10.8% 16.2% +4.5 32
1999-07-04 Viking L 1-3 1500 1765 19.0% 11.0% 70.0% -3.7 17
1999-07-04 @ Odd Grenland W 3-1 1765 1500 70.0% 11.0% 19.0% +3.7 16
1999-07-04 Stabaek L 1-3 1546 1830 17.4% 10.9% 71.7% -3.4 13
1999-07-04 @ Skeid W 3-1 1830 1546 71.7% 10.9% 17.4% +3.4 26
1999-07-07 Kongsvinger W 6-2 1740 1638 64.4% 11.3% 24.3% +7.2 26
1999-07-07 @ Lillestrom L 2-6 1638 1740 24.3% 11.3% 64.4% -7.2 9
1999-07-07 Brann L 2-3 1948 1764 72.4% 10.8% 16.8% -7.0 32
1999-07-07 @ Rosenborg W 3-2 1764 1948 16.8% 10.8% 72.4% +7.0 27
1999-07-07 Stromsgodset W 2-1 1834 1655 71.9% 10.9% 17.2% +1.9 29
1999-07-07 @ Stabaek L 1-2 1655 1834 17.2% 10.9% 71.9% -1.9 13
1999-07-07 Molde W 4-1 1769 1830 43.1% 11.7% 45.3% +11.6 19
1999-07-07 @ Viking L 1-4 1830 1769 45.3% 11.7% 43.1% -11.6 29
1999-07-07 Tromso L 1-3 1712 1718 50.9% 11.6% 37.5% -9.1 14
1999-07-07 @ Valerenga W 3-1 1718 1712 37.5% 11.6% 50.9% +9.1 23
1999-07-11 Kongsvinger W 3-2 1819 1631 72.7% 10.8% 16.4% +1.7 32
1999-07-11 @ Molde L 2-3 1631 1819 16.4% 10.8% 72.7% -1.7 9
1999-07-11 Lillestrom W 4-0 1941 1747 73.2% 10.8% 16.0% +6.8 35
1999-07-11 @ Rosenborg L 0-4 1747 1941 16.0% 10.8% 73.2% -6.8 26
1999-07-11 Odd Grenland L 2-5 1835 1496 82.6% 9.6% 7.8% -17.8 29
1999-07-11 @ Stabaek W 5-2 1496 1835 7.8% 9.6% 82.6% +17.8 20
1999-07-11 Bodo Glimt L 0-1 1653 1711 43.6% 11.7% 44.7% -4.9 13
1999-07-11 @ Stromsgodset W 1-0 1711 1653 44.7% 11.7% 43.6% +4.9 18
1999-07-11 Skeid D 2-2 1702 1543 70.2% 11.0% 18.8% -1.0 15
1999-07-11 @ Valerenga D 2-2 1543 1702 18.8% 11.0% 70.2% +1.0 14
1999-07-11 Moss D 1-1 1780 1640 68.4% 11.1% 20.5% -1.3 20
1999-07-11 @ Viking D 1-1 1640 1780 20.5% 11.1% 68.4% +1.3 13
1999-07-22 Brann W 2-0 1740 1771 47.5% 11.7% 40.9% +8.6 29
1999-07-22 @ Lillestrom L 0-2 1771 1740 40.9% 11.7% 47.5% -8.6 27
1999-07-25 Molde W 3-1 1715 1820 37.0% 11.6% 51.4% +9.2 21
1999-07-25 @ Bodo Glimt L 1-3 1820 1715 51.4% 11.6% 37.0% -9.2 32
1999-07-25 Brann L 0-2 1629 1762 33.2% 11.6% 55.2% -7.2 9
1999-07-25 @ Kongsvinger W 2-0 1762 1629 55.2% 11.6% 33.2% +7.2 30
1999-07-25 Viking W 4-1 1749 1779 47.6% 11.7% 40.8% +10.6 32
1999-07-25 @ Lillestrom L 1-4 1779 1749 40.8% 11.7% 47.6% -10.6 20
1999-07-25 Stabaek W 2-0 1641 1818 28.0% 11.4% 60.6% +12.4 16
1999-07-25 @ Moss L 0-2 1818 1641 60.6% 11.4% 28.0% -12.4 29
1999-07-25 Odd Grenland W 3-1 1544 1514 55.7% 11.6% 32.8% +6.1 17
1999-07-25 @ Skeid L 1-3 1514 1544 32.8% 11.6% 55.7% -6.1 20
1999-07-25 Rosenborg W 2-1 1727 1947 23.2% 11.2% 65.5% +6.7 26
1999-07-25 @ Tromso L 1-2 1947 1727 65.5% 11.2% 23.2% -6.7 35
1999-07-25 Stromsgodset L 2-3 1701 1648 58.7% 11.5% 29.8% -5.7 15
1999-07-25 @ Valerenga W 3-2 1648 1701 29.8% 11.5% 58.7% +5.7 16
1999-07-30 Kongsvinger W 4-1 1941 1622 81.6% 9.8% 8.6% +2.4 38
1999-07-30 @ Rosenborg L 1-4 1622 1941 8.6% 9.8% 81.6% -2.4 9
1999-08-01 Bodo Glimt L 0-2 1770 1725 57.7% 11.5% 30.8% -11.8 30
1999-08-01 @ Brann W 2-0 1725 1770 30.8% 11.5% 57.7% +11.8 24
1999-08-01 Valerenga W 4-3 1811 1696 65.8% 11.2% 22.9% +2.3 35
1999-08-01 @ Molde L 3-4 1696 1811 22.9% 11.2% 65.8% -2.3 15
1999-08-01 Moss W 1-0 1508 1653 31.7% 11.5% 56.7% +6.2 23
1999-08-01 @ Odd Grenland L 0-1 1653 1508 56.7% 11.5% 31.7% -6.2 16
1999-08-01 Lillestrom L 1-6 1805 1760 57.7% 11.5% 30.8% -22.9 29
1999-08-01 @ Stabaek W 6-1 1760 1805 30.8% 11.5% 57.7% +22.9 35
1999-08-01 Skeid W 3-1 1654 1550 64.6% 11.3% 24.1% +4.6 19
1999-08-01 @ Stromsgodset L 1-3 1550 1654 24.1% 11.3% 64.6% -4.6 17
1999-08-01 Tromso W 2-1 1769 1734 56.4% 11.5% 32.1% +3.5 23
1999-08-01 @ Viking L 1-2 1734 1769 32.1% 11.5% 56.4% -3.5 26
1999-08-04 Valerenga W 4-0 1619 1693 41.3% 11.7% 47.0% +18.6 12
1999-08-04 @ Kongsvinger L 0-4 1693 1619 47.0% 11.7% 41.3% -18.6 15
1999-08-08 Rosenborg L 2-4 1736 1943 24.6% 11.3% 64.0% -4.2 24
1999-08-08 @ Bodo Glimt W 4-2 1943 1736 64.0% 11.3% 24.6% +4.2 41
1999-08-08 Viking L 1-3 1638 1772 33.2% 11.6% 55.3% -6.2 12
1999-08-08 @ Kongsvinger W 3-1 1772 1638 55.3% 11.6% 33.2% +6.2 26
1999-08-08 Odd Grenland L 1-2 1783 1514 78.7% 10.2% 11.1% -8.0 35
1999-08-08 @ Lillestrom W 2-1 1514 1783 11.1% 10.2% 78.7% +8.0 26
1999-08-08 Skeid W 5-0 1647 1545 64.4% 11.3% 24.3% +12.5 19
1999-08-08 @ Moss L 0-5 1545 1647 24.3% 11.3% 64.4% -12.5 17
1999-08-08 Molde L 0-2 1658 1814 30.5% 11.5% 58.0% -6.6 19
1999-08-08 @ Stromsgodset W 2-0 1814 1658 58.0% 11.5% 30.5% +6.6 38
1999-08-08 Stabaek D 3-3 1730 1782 44.4% 11.7% 43.9% +0.0 27
1999-08-08 @ Tromso D 3-3 1782 1730 43.9% 11.7% 44.4% +0.0 30
1999-08-08 Brann L 1-2 1675 1758 40.0% 11.6% 48.3% -4.2 15
1999-08-08 @ Valerenga W 2-1 1758 1675 48.3% 11.6% 40.0% +4.2 33
1999-08-15 Stromsgodset D 2-2 1762 1652 65.3% 11.2% 23.4% -0.8 34
1999-08-15 @ Brann D 2-2 1652 1762 23.4% 11.2% 65.3% +0.8 20
1999-08-15 Lillestrom L 1-3 1660 1775 35.7% 11.6% 52.7% -6.6 19
1999-08-15 @ Moss W 3-1 1775 1660 52.7% 11.6% 35.7% +6.6 38
1999-08-15 Tromso W 2-1 1522 1730 24.5% 11.3% 64.2% +6.6 29
1999-08-15 @ Odd Grenland L 1-2 1730 1522 64.2% 11.3% 24.5% -6.6 27
1999-08-15 Valerenga W 4-2 1947 1671 79.2% 10.1% 10.7% +1.9 44
1999-08-15 @ Rosenborg L 2-4 1671 1947 10.7% 10.1% 79.2% -1.9 15
1999-08-15 Molde L 3-5 1533 1820 17.1% 10.9% 72.0% -2.8 17
1999-08-15 @ Skeid W 5-3 1820 1533 72.0% 10.9% 17.1% +2.8 41
1999-08-15 Kongsvinger D 1-1 1782 1632 69.4% 11.0% 19.6% -1.3 31
1999-08-15 @ Stabaek D 1-1 1632 1782 19.6% 11.0% 69.4% +1.3 13
1999-08-15 Bodo Glimt D 3-3 1778 1732 57.8% 11.5% 30.7% -0.4 27
1999-08-15 @ Viking D 3-3 1732 1778 30.7% 11.5% 57.8% +0.4 25
1999-08-22 Stabaek W 4-0 1733 1781 45.0% 11.7% 43.4% +17.3 28
1999-08-22 @ Bodo Glimt L 0-4 1781 1733 43.4% 11.7% 45.0% -17.3 31
1999-08-22 Odd Grenland W 1-0 1633 1529 64.7% 11.3% 24.1% +2.8 16
1999-08-22 @ Kongsvinger L 0-1 1529 1633 24.1% 11.3% 64.7% -2.8 29
1999-08-22 Skeid W 2-1 1781 1530 77.5% 10.3% 12.1% +1.4 41
1999-08-22 @ Lillestrom L 1-2 1530 1781 12.1% 10.3% 77.5% -1.4 17
1999-08-22 Brann L 1-3 1823 1761 59.7% 11.5% 28.8% -10.6 41
1999-08-22 @ Molde W 3-1 1761 1823 28.8% 11.5% 59.7% +10.6 37
1999-08-22 Rosenborg L 1-3 1653 1949 16.4% 10.8% 72.8% -3.2 20
1999-08-22 @ Stromsgodset W 3-1 1949 1653 72.8% 10.8% 16.4% +3.2 47
1999-08-22 Moss D 1-1 1724 1653 60.8% 11.4% 27.8% -0.9 28
1999-08-22 @ Tromso D 1-1 1653 1724 27.8% 11.4% 60.8% +0.9 20
1999-08-22 Viking W 4-2 1669 1778 36.5% 11.6% 51.9% +8.3 18
1999-08-22 @ Valerenga L 2-4 1778 1669 51.9% 11.6% 36.5% -8.3 27
1999-08-25 Tromso W 3-1 1772 1723 58.2% 11.5% 30.3% +5.7 40
1999-08-25 @ Brann L 1-3 1723 1772 30.3% 11.5% 58.2% -5.7 28
1999-08-29 Tromso L 1-2 1783 1717 60.2% 11.4% 28.4% -6.2 41
1999-08-29 @ Lillestrom W 2-1 1717 1783 28.4% 11.4% 60.2% +6.2 31
1999-08-29 Kongsvinger W 3-0 1654 1636 54.2% 11.6% 34.2% +10.7 23
1999-08-29 @ Moss L 0-3 1636 1654 34.2% 11.6% 54.2% -10.7 16
1999-08-29 Bodo Glimt W 4-2 1526 1750 22.8% 11.2% 66.0% +10.4 32
1999-08-29 @ Odd Grenland L 2-4 1750 1526 66.0% 11.2% 22.8% -10.4 28
1999-08-29 Molde W 2-1 1952 1812 68.3% 11.1% 20.5% +2.3 50
1999-08-29 @ Rosenborg L 1-2 1812 1952 20.5% 11.1% 68.3% -2.3 41
1999-08-29 Brann L 1-2 1528 1778 20.4% 11.1% 68.5% -2.3 17
1999-08-29 @ Skeid W 2-1 1778 1528 68.5% 11.1% 20.4% +2.3 43
1999-08-29 Valerenga W 3-0 1764 1677 62.7% 11.4% 26.0% +8.3 34
1999-08-29 @ Stabaek L 0-3 1677 1764 26.0% 11.4% 62.7% -8.3 18
1999-08-29 Stromsgodset W 3-2 1769 1649 66.3% 11.2% 22.5% +2.4 30
1999-08-29 @ Viking L 2-3 1649 1769 22.5% 11.2% 66.3% -2.4 20
1999-09-11 Rosenborg W 2-1 1780 1955 28.2% 11.4% 60.4% +6.2 46
1999-09-11 @ Brann L 1-2 1955 1780 60.4% 11.4% 28.2% -6.2 50
1999-09-11 Stabaek W 4-3 1647 1772 34.4% 11.6% 54.1% +5.2 23
1999-09-11 @ Stromsgodset L 3-4 1772 1647 54.1% 11.6% 34.4% -5.2 34
1999-09-12 Moss W 4-0 1740 1665 61.3% 11.4% 27.3% +11.3 31
1999-09-12 @ Bodo Glimt L 0-4 1665 1740 27.3% 11.4% 61.3% -11.3 23
1999-09-12 Lillestrom D 1-1 1625 1776 31.0% 11.5% 57.5% +0.7 17
1999-09-12 @ Kongsvinger D 1-1 1776 1625 57.5% 11.5% 31.0% -0.7 42
1999-09-12 Viking L 3-4 1810 1772 56.8% 11.5% 31.7% -5.4 41
1999-09-12 @ Molde W 4-3 1772 1810 31.7% 11.5% 56.8% +5.4 33
1999-09-12 Skeid W 8-2 1723 1526 73.5% 10.7% 15.8% +6.7 34
1999-09-12 @ Tromso L 2-8 1526 1723 15.8% 10.7% 73.5% -6.7 17
1999-09-12 Odd Grenland W 2-1 1669 1536 67.6% 11.1% 21.3% +2.4 21
1999-09-12 @ Valerenga L 1-2 1536 1669 21.3% 11.1% 67.6% -2.4 32
1999-09-18 Molde W 4-2 1767 1805 46.5% 11.7% 41.9% +6.8 37
1999-09-18 @ Stabaek L 2-4 1805 1767 41.9% 11.7% 46.5% -6.8 41
1999-09-18 Brann W 2-0 1777 1786 50.5% 11.6% 37.8% +8.1 36
1999-09-18 @ Viking L 0-2 1786 1777 37.8% 11.6% 50.5% -8.1 46
1999-09-19 Bodo Glimt W 3-0 1776 1751 55.1% 11.6% 33.4% +10.5 45
1999-09-19 @ Lillestrom L 0-3 1751 1776 33.4% 11.6% 55.1% -10.5 31
1999-09-19 Valerenga W 1-0 1653 1671 49.3% 11.6% 39.1% +4.4 26
1999-09-19 @ Moss L 0-1 1671 1653 39.1% 11.6% 49.3% -4.4 21
1999-09-19 Stromsgodset D 2-2 1534 1652 35.2% 11.6% 53.2% +0.3 33
1999-09-19 @ Odd Grenland D 2-2 1652 1534 53.2% 11.6% 35.2% -0.3 24
1999-09-19 Rosenborg L 1-7 1520 1948 8.5% 9.7% 81.7% -4.4 17
1999-09-19 @ Skeid W 7-1 1948 1520 81.7% 9.7% 8.5% +4.4 53
1999-09-19 Kongsvinger W 4-1 1730 1626 64.6% 11.3% 24.1% +6.5 37
1999-09-19 @ Tromso L 1-4 1626 1730 24.1% 11.3% 64.6% -6.5 17
1999-10-03 Tromso L 1-3 1740 1736 52.3% 11.6% 36.1% -9.4 31
1999-10-03 @ Bodo Glimt W 3-1 1736 1740 36.1% 11.6% 52.3% +9.3 40
1999-10-03 Skeid L 1-2 1619 1515 64.6% 11.3% 24.1% -6.6 17
1999-10-03 @ Kongsvinger W 2-1 1515 1619 24.1% 11.3% 64.6% +6.6 20
1999-10-03 Viking W 3-2 1953 1785 71.0% 10.9% 18.1% +1.9 56
1999-10-03 @ Rosenborg L 2-3 1785 1953 18.1% 10.9% 71.0% -1.9 36
1999-10-03 Moss L 2-5 1652 1658 50.9% 11.6% 37.4% -11.2 24
1999-10-03 @ Stromsgodset W 5-2 1658 1652 37.4% 11.6% 50.9% +11.2 29
1999-10-03 Lillestrom W 3-1 1667 1786 35.1% 11.6% 53.3% +9.5 24
1999-10-03 @ Valerenga L 1-3 1786 1667 53.3% 11.6% 35.1% -9.5 45
1999-10-13 Stabaek L 2-3 1778 1774 52.3% 11.6% 36.1% -5.1 46
1999-10-13 @ Brann W 3-2 1774 1778 36.1% 11.6% 52.3% +5.1 40
1999-10-13 Odd Grenland W 1-0 1798 1534 78.4% 10.2% 11.4% +1.4 44
1999-10-13 @ Molde L 0-1 1534 1798 11.4% 10.2% 78.4% -1.4 33
1999-10-16 Rosenborg W 2-0 1779 1955 28.1% 11.4% 60.5% +12.4 43
1999-10-16 @ Stabaek L 0-2 1955 1779 60.5% 11.4% 28.1% -12.4 56
1999-10-17 Bodo Glimt W 2-1 1613 1731 35.2% 11.6% 53.2% +5.5 20
1999-10-17 @ Kongsvinger L 1-2 1731 1613 53.2% 11.6% 35.2% -5.5 31
1999-10-17 Stromsgodset W 4-2 1777 1641 68.0% 11.1% 20.9% +3.6 48
1999-10-17 @ Lillestrom L 2-4 1641 1777 20.9% 11.1% 68.0% -3.6 24
1999-10-17 Molde L 0-1 1669 1799 33.7% 11.6% 54.8% -3.9 29
1999-10-17 @ Moss W 1-0 1799 1669 54.8% 11.6% 33.7% +3.8 47
1999-10-17 Brann W 3-1 1533 1773 21.3% 11.1% 67.6% +11.9 36
1999-10-17 @ Odd Grenland L 1-3 1773 1533 67.6% 11.1% 21.3% -12.0 46
1999-10-17 Viking W 3-2 1522 1783 19.3% 11.0% 69.7% +6.8 23
1999-10-17 @ Skeid L 2-3 1783 1522 69.7% 11.0% 19.3% -6.8 36
1999-10-17 Valerenga D 2-2 1746 1676 60.7% 11.4% 27.9% -0.6 41
1999-10-17 @ Tromso D 2-2 1676 1746 27.9% 11.4% 60.7% +0.6 25
1999-10-23 Skeid W 4-2 1726 1528 73.5% 10.7% 15.8% +2.7 34
1999-10-23 @ Bodo Glimt L 2-4 1528 1726 15.8% 10.7% 73.5% -2.7 23
1999-10-23 Moss W 1-0 1761 1665 63.7% 11.3% 25.0% +2.9 49
1999-10-23 @ Brann L 0-1 1665 1761 25.0% 11.3% 63.7% -2.9 29
1999-10-23 Lillestrom W 2-0 1803 1780 54.8% 11.6% 33.6% +7.2 50
1999-10-23 @ Molde L 0-2 1780 1803 33.6% 11.6% 54.8% -7.2 48
1999-10-23 Tromso L 3-6 1637 1745 36.6% 11.6% 51.8% -7.7 24
1999-10-23 @ Stromsgodset W 6-3 1745 1637 51.8% 11.6% 36.6% +7.7 44
1999-10-23 Kongsvinger W 2-1 1677 1618 59.4% 11.5% 29.2% +3.2 28
1999-10-23 @ Valerenga L 1-2 1618 1677 29.2% 11.5% 59.4% -3.2 20
1999-10-24 Odd Grenland L 3-5 1942 1545 85.2% 9.0% 5.8% -12.6 56
1999-10-24 @ Rosenborg W 5-3 1545 1942 5.8% 9.0% 85.2% +12.6 39
1999-10-24 Stabaek L 2-3 1777 1791 49.8% 11.6% 38.6% -4.9 36
1999-10-24 @ Viking W 3-2 1791 1777 38.6% 11.6% 49.8% +4.9 46

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 1999-10-24 5.76% Odd Grenland 1545 5 @ Rosenborg 1942 3
2 1999-07-11 7.79% Odd Grenland 1496 5 @ Stabaek 1835 2
3 1999-04-11 9.61% Odd Grenland 1488 2 @ Viking 1786 1
4 1999-08-08 11.14% Odd Grenland 1514 2 @ Lillestrom 1783 1
5 1999-06-20 13.10% Skeid 1544 1 @ Viking 1779 0
6 1999-04-18 14.54% @ Odd Grenland 1497 3 Stabaek 1818 2
7 1999-05-24 14.55% Skeid 1535 1 @ Brann 1749 0
8 1999-07-07 16.81% Brann 1764 3 @ Rosenborg 1948 2
9 1999-06-13 18.91% Odd Grenland 1489 5 @ Stromsgodset 1647 3
10 1999-10-17 19.29% @ Skeid 1522 3 Viking 1783 2
11 1999-10-17 21.29% @ Odd Grenland 1533 3 Brann 1773 1
12 1999-08-29 22.83% @ Odd Grenland 1526 4 Bodo Glimt 1750 2
13 1999-07-25 23.21% @ Tromso 1727 2 Rosenborg 1947 1
14 1999-10-03 24.08% Skeid 1515 2 @ Kongsvinger 1619 1
15 1999-08-15 24.48% @ Odd Grenland 1522 2 Tromso 1730 1
16 1999-06-17 25.93% Brann 1746 3 @ Stabaek 1833 2
17 1999-04-17 27.24% @ Lillestrom 1723 3 Rosenborg 1906 2
18 1999-06-09 27.87% @ Skeid 1544 2 Tromso 1721 1
19 1999-07-25 27.97% @ Moss 1641 2 Stabaek 1818 0
20 1999-10-16 28.05% @ Stabaek 1779 2 Rosenborg 1955 0
21 1999-09-11 28.19% @ Brann 1780 2 Rosenborg 1955 1
22 1999-08-29 28.38% Tromso 1717 2 @ Lillestrom 1783 1
23 1999-06-13 28.45% Moss 1662 2 @ Valerenga 1726 1
24 1999-08-22 28.81% Brann 1761 3 @ Molde 1823 1
25 1999-04-23 29.40% Lillestrom 1729 4 @ Viking 1785 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 1999-05-09 23.92 Moss 6 1641 47.66% @ Skeid 0 1562 40.69% 11.65%
2 1999-04-18 23.33 @ Tromso 5 1677 40.36% Brann 0 1757 48.00% 11.64%
3 1999-08-01 22.93 Lillestrom 6 1760 30.75% @ Stabaek 1 1805 57.74% 11.50%
4 1999-05-02 21.56 @ Skeid 4 1541 33.17% Stromsgodset 0 1675 55.27% 11.56%
5 1999-08-04 18.59 @ Kongsvinger 4 1619 41.30% Valerenga 0 1693 47.05% 11.65%
6 1999-07-11 17.80 Odd Grenland 5 1496 7.79% @ Stabaek 2 1835 82.63% 9.58%
7 1999-08-22 17.28 @ Bodo Glimt 4 1733 44.98% Stabaek 0 1781 43.37% 11.65%
8 1999-05-12 15.16 Rosenborg 5 1909 58.73% @ Valerenga 0 1748 29.79% 11.48%
9 1999-04-23 14.03 Valerenga 3 1727 42.00% @ Stromsgodset 0 1689 46.35% 11.65%
10 1999-10-24 12.62 Odd Grenland 5 1545 5.76% @ Rosenborg 3 1942 85.22% 9.02%
11 1999-06-16 12.59 @ Tromso 5 1706 51.11% Bodo Glimt 1 1711 37.28% 11.62%
12 1999-08-08 12.55 @ Moss 5 1647 64.39% Skeid 0 1545 24.32% 11.29%
13 1999-07-25 12.41 @ Moss 2 1641 27.97% Stabaek 0 1818 60.61% 11.43%
14 1999-10-16 12.39 @ Stabaek 2 1779 28.05% Rosenborg 0 1955 60.52% 11.43%
15 1999-06-16 12.17 Stromsgodset 5 1637 32.61% @ Moss 2 1668 55.84% 11.55%
16 1999-06-09 12.16 @ Moss 4 1649 40.60% Bodo Glimt 1 1728 47.75% 11.65%
17 1999-10-17 11.95 @ Odd Grenland 3 1533 21.29% Brann 1 1773 67.57% 11.14%
18 1999-08-01 11.83 Bodo Glimt 2 1725 30.83% @ Brann 0 1770 57.66% 11.51%
19 1999-07-07 11.59 @ Viking 4 1769 43.09% Molde 1 1830 45.26% 11.65%
20 1999-09-12 11.34 @ Bodo Glimt 4 1740 61.31% Moss 0 1665 27.28% 11.40%
21 1999-10-03 11.17 Moss 5 1658 37.43% @ Stromsgodset 2 1652 50.95% 11.62%
22 1999-08-29 10.71 @ Moss 3 1654 54.18% Kongsvinger 0 1636 34.25% 11.58%
23 1999-08-22 10.60 Brann 3 1761 28.81% @ Molde 1 1823 59.74% 11.45%
24 1999-05-24 10.58 @ Tromso 4 1711 47.48% Lillestrom 1 1741 40.87% 11.65%
25 1999-07-25 10.57 @ Lillestrom 4 1749 47.57% Viking 1 1779 40.78% 11.65%