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2003 Tippeligaen Season

182 games

Final

Champion

Rosenborg

61 points

Relegated

No relegation

Biggest Overachiever

Bodo Glimt

10.40 points above expected

47 points · 36.60 expected points

Biggest Disappointment

Bryne

10.08 points below expected

22 points · 32.08 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 19 4 3 61 68 28 +40 50.69 +10.31
2 Bodo Glimt 26 14 5 7 47 45 30 +15 36.60 +10.40
3 Stabaek 26 11 9 6 42 51 35 +16 40.39 +1.61
4 Odd Grenland 26 11 5 10 38 46 43 +3 37.67 +0.33
5 Viking 26 9 10 7 37 46 34 +12 41.82 -4.82
6 Brann 26 10 7 9 37 45 47 -2 30.86 +6.14
7 Lillestrom 26 10 7 9 37 33 35 -2 37.11 -0.11
8 Sogndal 26 9 8 9 35 43 46 -3 34.26 +0.74
9 Molde 26 9 4 13 31 32 41 -9 38.36 -7.36
10 Lyn Oslo 26 8 6 12 30 34 45 -11 33.91 -3.91
11 Tromso 26 8 5 13 29 30 52 -22 28.37 +0.63
12 Valerenga 26 6 10 10 28 30 33 -3 34.68 -6.68
13 Aalesund 26 7 7 12 28 30 43 -13 25.14 +2.86
14 Bryne 26 7 1 18 22 35 56 -21 32.08 -10.08

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 1780 61 50.69 +10.31 95.8% 25 40 47 51 55 61 75
Stabaek 1697 42 40.39 +1.61 63.4% 14 30 36 40 45 51 67
Viking 1670 37 41.82 -4.82 25.8% 18 31 37 42 46 53 66
Bodo Glimt 1656 47 36.60 +10.40 95.1% 15 26 32 37 41 47 61
Lillestrom 1640 37 37.11 -0.11 53.0% 15 26 33 37 41 48 60
Odd Grenland 1625 38 37.67 +0.33 55.3% 14 27 33 38 42 48 64
Molde 1606 31 38.36 -7.36 15.3% 13 27 34 38 43 49 66
Brann 1591 37 30.86 +6.14 84.6% 6 20 26 31 35 42 57
Valerenga 1584 28 34.68 -6.68 17.2% 13 24 30 35 39 45 62
Sogndal 1565 35 34.26 +0.74 58.0% 12 24 30 34 39 45 68
Lyn Oslo 1560 30 33.91 -3.91 30.1% 13 23 29 34 38 45 57
Tromso 1522 29 28.37 +0.63 58.3% 6 18 24 28 33 39 51
Aalesund 1520 28 25.14 +2.86 71.2% 5 15 21 25 29 35 52
Bryne 1504 22 32.08 -10.08 6.5% 9 22 28 32 36 43 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 AAL BG BRA BRY LIL LO MOL OG ROS SOG STA TRO VAL VIK
Aalesund —
1-0-1
1.86
0-1-1
2.31
1-0-1
2.43
1-1-0
1.88
1-0-1
2.12
1-1-0
1.94
0-1-1
1.86
0-0-2
1.16
1-1-0
1.94
0-1-1
1.58
1-0-1
2.38
0-0-2
2.06
0-1-1
1.57
Bodo Glimt
1-0-1
3.68
 —
2-0-0
3.15
2-0-0
3.08
0-0-2
2.62
2-0-0
2.76
2-0-0
2.39
2-0-0
2.75
0-0-2
1.78
1-0-1
3.02
1-1-0
2.48
0-1-1
3.43
0-2-0
3.02
1-1-0
2.42
Brann
1-1-0
3.20
0-0-2
2.35
 —
1-1-0
2.65
0-1-1
2.43
1-1-0
2.41
1-0-1
2.29
2-0-0
2.11
0-1-1
1.69
1-0-1
2.36
0-1-1
2.01
1-0-1
3.04
2-0-0
2.42
0-1-1
1.95
Bryne
1-0-1
3.09
0-0-2
2.42
0-1-1
2.87
 —
1-0-1
2.41
1-0-1
2.69
1-0-1
2.19
1-0-1
2.44
0-0-2
1.31
0-0-2
2.76
0-0-2
2.22
1-0-1
3.01
0-0-2
2.61
1-0-1
2.22
Lillestrom
0-1-1
3.65
2-0-0
2.90
1-1-0
3.07
1-0-1
3.09
 —
2-0-0
2.92
1-0-1
2.67
1-0-1
2.63
0-1-1
1.75
0-1-1
2.96
0-0-2
2.66
1-0-1
3.51
0-2-0
2.99
1-1-0
2.31
Lyn Oslo
1-0-1
3.40
0-0-2
2.73
0-1-1
3.09
1-0-1
2.80
0-0-2
2.57
 —
0-1-1
2.36
0-1-1
2.56
0-0-2
1.79
2-0-0
2.64
1-0-1
2.15
2-0-0
3.13
1-1-0
2.58
0-2-0
2.10
Molde
0-1-1
3.59
0-0-2
3.11
1-0-1
3.23
1-0-1
3.31
1-0-1
2.83
1-1-0
3.15
 —
0-0-2
2.96
0-0-2
1.64
2-0-0
2.93
0-2-0
2.69
1-0-1
3.46
1-0-1
3.06
1-0-1
2.37
Odd Grenland
1-1-0
3.68
0-0-2
2.75
0-0-2
3.40
1-0-1
3.07
1-0-1
2.86
1-1-0
2.96
2-0-0
2.53
 —
0-0-2
1.82
0-1-1
3.18
0-1-1
2.66
2-0-0
3.32
2-0-0
2.99
1-1-0
2.41
Rosenborg
2-0-0
4.47
2-0-0
3.77
1-1-0
3.88
2-0-0
4.28
1-1-0
3.79
2-0-0
3.78
2-0-0
3.91
2-0-0
3.72
 —
1-1-0
3.93
0-1-1
3.69
0-0-2
4.48
2-0-0
3.70
2-0-0
3.28
Sogndal
0-1-1
3.58
1-0-1
2.49
1-0-1
3.14
2-0-0
2.74
1-1-0
2.54
0-0-2
2.87
0-0-2
2.56
1-1-0
2.34
0-1-1
1.62
 —
2-0-0
2.28
1-1-0
3.21
0-2-0
2.78
0-1-1
2.11
Stabaek
1-1-0
3.99
0-1-1
3.03
1-1-0
3.51
2-0-0
3.28
2-0-0
2.83
1-0-1
3.35
0-2-0
2.81
1-1-0
2.83
1-1-0
1.85
0-0-2
3.22
 —
1-1-0
3.57
1-1-0
3.22
0-0-2
2.90
Tromso
1-0-1
3.12
1-1-0
2.10
1-0-1
2.45
1-0-1
2.49
1-0-1
2.00
0-0-2
2.37
1-0-1
2.05
0-0-2
2.20
2-0-0
1.16
0-1-1
2.29
0-1-1
1.96
 —
0-1-1
2.15
0-1-1
1.98
Valerenga
2-0-0
3.46
0-2-0
2.48
0-0-2
3.09
2-0-0
2.88
0-2-0
2.51
0-1-1
2.92
1-0-1
2.43
0-0-2
2.51
0-0-2
1.83
0-2-0
2.72
0-1-1
2.29
1-1-0
3.36
 —
0-1-1
2.27
Viking
1-1-0
4.00
0-1-1
3.07
1-1-0
3.57
1-0-1
3.29
0-1-1
3.19
0-2-0
3.44
1-0-1
3.14
0-1-1
3.09
0-0-2
2.24
1-1-0
3.40
2-0-0
2.59
1-1-0
3.55
1-1-0
3.23
 —

Points vs. Goals Scored, Allowed, and Differential

Points plotted against goals scored, allowed, and differential. Use the buttons to switch views; hover a team for exact values. The table gives each fit's R² and slope (the change in points per 10 goals).

Fit Metrics

R² Slope
Scored 0.80 +8.0
Allowed 0.51 -8.3
Differential 0.89 +5.5

Scoreline Distribution

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

↓ Scored | Allowed →012345+Total
03.85%5.77%7.97%5.49%1.65%1.65%26.37%
15.77%10.99%4.12%4.40%1.10%1.37%27.75%
27.97%4.12%5.49%3.30%0.55%—21.43%
35.49%4.40%3.30%3.85%0.27%—17.31%
41.65%1.10%0.55%0.27%—0.27%3.85%
5+1.65%1.37%——0.27%—3.30%
Total26.37%27.75%21.43%17.31%3.85%3.30%100%

Summary Statistics

Scored Allowed Difference
Mean 1.56 1.56 +0.00
SD 1.37 1.37 2.15
CV 0.88 0.88 —
Max 6 6 +6
Min 0 0 -6

Games Played: 182

↓ Scored | Allowed →012345+Total
0—3.85%15.38%7.69%3.85%—30.77%
13.85%19.23%3.85%7.69%——34.62%
211.54%3.85%3.85%3.85%——23.08%
33.85%—3.85%3.85%——11.54%
4———————
5+———————
Total19.23%26.92%26.92%23.08%3.85%—100%

Summary Statistics

Scored Allowed Difference
Mean 1.15 1.65 -0.50
SD 1.01 1.16 1.77
CV 0.87 0.70 —
Max 3 4 +3
Min 0 0 -4

Games Played: 26

↓ Scored | Allowed →012345+Total
07.69%3.85%7.69%3.85%——23.08%
13.85%7.69%7.69%———19.23%
219.23%7.69%————26.92%
37.69%7.69%3.85%3.85%——23.08%
4——3.85%——3.85%7.69%
5+———————
Total38.46%26.92%23.08%7.69%—3.85%100%

Summary Statistics

Scored Allowed Difference
Mean 1.73 1.15 +0.58
SD 1.28 1.26 1.63
CV 0.74 1.09 —
Max 4 5 +3
Min 0 0 -3

Games Played: 26

↓ Scored | Allowed →012345+Total
07.69%3.85%7.69%11.54%—3.85%34.62%
13.85%3.85%—3.85%—3.85%15.38%
23.85%—3.85%———7.69%
311.54%7.69%3.85%11.54%——34.62%
4—3.85%————3.85%
5+—3.85%————3.85%
Total26.92%23.08%15.38%26.92%—7.69%100%

Summary Statistics

Scored Allowed Difference
Mean 1.73 1.81 -0.08
SD 1.64 1.70 2.65
CV 0.95 0.94 —
Max 6 6 +5
Min 0 0 -6

Games Played: 26

↓ Scored | Allowed →012345+Total
0—3.85%19.23%11.54%7.69%—42.31%
13.85%3.85%3.85%3.85%3.85%—19.23%
23.85%——7.69%3.85%—15.38%
33.85%3.85%3.85%—3.85%—15.38%
43.85%—————3.85%
5+—3.85%————3.85%
Total15.38%15.38%26.92%23.08%19.23%—100%

Summary Statistics

Scored Allowed Difference
Mean 1.35 2.15 -0.81
SD 1.57 1.35 2.40
CV 1.17 0.63 —
Max 6 4 +5
Min 0 0 -4

Games Played: 26

↓ Scored | Allowed →012345+Total
07.69%3.85%7.69%—3.85%7.69%30.77%
17.69%19.23%7.69%3.85%——38.46%
27.69%—————7.69%
311.54%3.85%3.85%———19.23%
43.85%—————3.85%
5+———————
Total38.46%26.92%19.23%3.85%3.85%7.69%100%

Summary Statistics

Scored Allowed Difference
Mean 1.27 1.35 -0.08
SD 1.22 1.62 2.45
CV 0.96 1.21 —
Max 4 6 +4
Min 0 0 -6

Games Played: 26

↓ Scored | Allowed →012345+Total
03.85%—19.23%7.69%3.85%—34.62%
17.69%7.69%3.85%—3.85%—23.08%
23.85%7.69%7.69%7.69%——26.92%
33.85%3.85%—3.85%——11.54%
4———————
5+—3.85%————3.85%
Total19.23%23.08%30.77%19.23%7.69%—100%

Summary Statistics

Scored Allowed Difference
Mean 1.31 1.73 -0.42
SD 1.29 1.22 1.98
CV 0.99 0.70 —
Max 5 4 +4
Min 0 0 -4

Games Played: 26

↓ Scored | Allowed →012345+Total
03.85%11.54%15.38%7.69%—3.85%42.31%
13.85%7.69%3.85%———15.38%
23.85%7.69%3.85%7.69%——23.08%
33.85%3.85%7.69%———15.38%
43.85%—————3.85%
5+———————
Total19.23%30.77%30.77%15.38%—3.85%100%

Summary Statistics

Scored Allowed Difference
Mean 1.23 1.58 -0.35
SD 1.27 1.21 2.00
CV 1.04 0.76 —
Max 4 5 +4
Min 0 0 -5

Games Played: 26

↓ Scored | Allowed →012345+Total
0—3.85%—7.69%—3.85%15.38%
111.54%11.54%—7.69%3.85%—34.62%
27.69%—3.85%7.69%3.85%—23.08%
37.69%3.85%3.85%3.85%——19.23%
4———————
5+7.69%—————7.69%
Total34.62%19.23%7.69%26.92%7.69%3.85%100%

Summary Statistics

Scored Allowed Difference
Mean 1.77 1.65 +0.12
SD 1.37 1.57 2.45
CV 0.77 0.95 —
Max 5 5 +5
Min 0 0 -5

Games Played: 26

↓ Scored | Allowed →012345+Total
0—3.85%————3.85%
111.54%7.69%3.85%——3.85%26.92%
215.38%—7.69%———23.08%
37.69%7.69%3.85%———19.23%
4—7.69%3.85%———11.54%
5+7.69%3.85%——3.85%—15.38%
Total42.31%30.77%19.23%—3.85%3.85%100%

Summary Statistics

Scored Allowed Difference
Mean 2.62 1.08 +1.54
SD 1.65 1.41 2.20
CV 0.63 1.31 —
Max 6 6 +6
Min 0 0 -5

Games Played: 26

↓ Scored | Allowed →012345+Total
03.85%——11.54%——15.38%
13.85%15.38%7.69%7.69%—3.85%38.46%
23.85%11.54%3.85%3.85%——23.08%
3—3.85%3.85%7.69%——15.38%
43.85%—————3.85%
5+3.85%—————3.85%
Total19.23%30.77%15.38%30.77%—3.85%100%

Summary Statistics

Scored Allowed Difference
Mean 1.65 1.77 -0.12
SD 1.26 1.42 2.16
CV 0.76 0.80 —
Max 5 6 +5
Min 0 0 -5

Games Played: 26

↓ Scored | Allowed →012345+Total
07.69%—3.85%———11.54%
17.69%11.54%3.85%11.54%——34.62%
27.69%3.85%11.54%3.85%——26.92%
3—7.69%3.85%3.85%——15.38%
4—3.85%————3.85%
5+3.85%3.85%————7.69%
Total26.92%30.77%23.08%19.23%——100%

Summary Statistics

Scored Allowed Difference
Mean 1.96 1.35 +0.62
SD 1.56 1.09 1.98
CV 0.80 0.81 —
Max 6 3 +6
Min 0 0 -2

Games Played: 26

↓ Scored | Allowed →012345+Total
0—11.54%3.85%3.85%3.85%3.85%26.92%
111.54%7.69%3.85%7.69%—7.69%38.46%
27.69%7.69%7.69%3.85%——26.92%
3——3.85%3.85%——7.69%
4———————
5+———————
Total19.23%26.92%19.23%19.23%3.85%11.54%100%

Summary Statistics

Scored Allowed Difference
Mean 1.15 2.00 -0.85
SD 0.92 1.67 2.03
CV 0.80 0.84 —
Max 3 6 +2
Min 0 0 -5

Games Played: 26

↓ Scored | Allowed →012345+Total
011.54%19.23%7.69%3.85%——42.31%
1—15.38%—7.69%——23.08%
27.69%—7.69%———15.38%
37.69%3.85%—3.85%——15.38%
4———3.85%——3.85%
5+———————
Total26.92%38.46%15.38%19.23%——100%

Summary Statistics

Scored Allowed Difference
Mean 1.15 1.27 -0.12
SD 1.26 1.08 1.56
CV 1.09 0.85 —
Max 4 3 +3
Min 0 0 -3

Games Played: 26

↓ Scored | Allowed →012345+Total
0—11.54%3.85%———15.38%
1—15.38%7.69%—3.85%—26.92%
27.69%7.69%15.38%———30.77%
37.69%3.85%—7.69%——19.23%
47.69%—————7.69%
5+———————
Total23.08%38.46%26.92%7.69%3.85%—100%

Summary Statistics

Scored Allowed Difference
Mean 1.77 1.31 +0.46
SD 1.18 1.05 1.75
CV 0.67 0.80 —
Max 4 4 +4
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 Bodo Glimt 47 36.60 +10.40
2 Rosenborg 61 50.69 +10.31
3 Brann 37 30.86 +6.14
4 Aalesund 28 25.14 +2.86
5 Stabaek 42 40.39 +1.61

Biggest Disappointments

# Team Actual Sim vsSim
1 Bryne 22 32.08 -10.08
2 Molde 31 38.36 -7.36
3 Valerenga 28 34.68 -6.68
4 Viking 37 41.82 -4.82
5 Lyn Oslo 30 33.91 -3.91

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 Rosenborg 7 Apr 12 – May 25 1 in 133
2 Bodo Glimt 4 Jul 31 – Aug 24 1 in 67
3 Tromso 3 Aug 24 – Sep 14 1 in 66
4 Aalesund 2 Sep 28 – Oct 5 1 in 22
5 Sogndal 3 Apr 13 – Apr 26 1 in 21

Most Unlikely Losing Streaks

# Team Games Dates Probability
1 Bryne 10 Aug 16 – Nov 1 1 in 2,724
2 Lyn Oslo 7 Jul 20 – Aug 31 1 in 495
3 Viking 3 Sep 29 – Oct 19 1 in 41
4 Tromso 4 May 25 – Jun 15 1 in 19
5 Lillestrom 3 Apr 21 – May 4 1 in 19

Most Unlikely Unbeaten Streaks

# Team Games Dates Probability
1 Brann 7 Jul 21 – Aug 31 1 in 126
2 Lyn Oslo 6 Sep 14 – Oct 26 1 in 48
3 Tromso 5 Aug 24 – Sep 28 1 in 31
4 Rosenborg 12 Apr 12 – Jun 29 1 in 30
5 Lillestrom 7 May 12 – Jun 22 1 in 27

Most Unlikely Winless Streaks

# Team Games Dates Probability
1 Lyn Oslo 10 Jun 22 – Sep 14 1 in 72
2 Sogndal 8 Aug 10 – Oct 5 1 in 48
3 Tromso 10 Apr 21 – Jun 22 1 in 37
4 Lillestrom 7 May 16 – Jun 29 1 in 35
5 Bryne 10 Aug 16 – Nov 1 1 in 34

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
Rosenborg65.55%17.43%7.85%3.80%2.28%1.42%0.80%0.32%0.28%0.13%0.08%0.03%0.01%0.02%
Bodo Glimt2.62%7.04%9.22%10.35%9.94%9.69%9.91%8.67%8.08%7.50%6.34%5.14%3.44%2.06%
Stabaek7.01%15.34%15.36%13.03%10.84%9.35%7.53%6.45%5.04%3.78%2.90%1.87%1.07%0.43%
Odd Grenland3.35%8.68%9.91%10.70%10.58%10.82%9.40%8.53%8.00%6.36%5.35%4.34%2.67%1.31%
Viking10.33%20.18%15.72%12.32%10.18%8.34%6.94%4.62%3.83%3.11%2.11%1.30%0.76%0.26%
Brann0.23%1.28%2.29%3.54%4.34%5.25%6.87%7.90%9.27%10.62%12.22%12.67%13.16%10.36%
Lillestrom2.80%7.42%8.94%9.46%10.35%10.18%10.09%9.18%8.28%7.03%6.35%4.74%3.40%1.78%
Sogndal1.20%3.58%5.10%6.59%7.77%8.23%9.03%9.37%9.85%10.29%9.59%8.86%6.60%3.94%
Molde4.09%9.49%11.04%11.05%10.70%9.74%9.00%8.07%7.47%6.41%5.00%4.04%2.75%1.15%
Lyn Oslo0.89%3.08%4.54%6.28%6.86%8.08%8.82%9.38%9.80%10.45%9.79%9.20%7.42%5.41%
Tromso0.11%0.50%1.00%1.55%2.14%2.92%3.70%5.86%6.76%8.47%11.26%14.94%19.25%21.54%
Valerenga1.25%4.19%5.56%7.18%8.12%8.95%8.88%10.09%9.63%9.41%8.89%7.92%6.07%3.86%
Aalesund0.05%0.11%0.33%0.52%0.75%1.26%1.85%3.07%4.16%5.88%8.51%12.85%21.21%39.45%
Bryne0.52%1.68%3.14%3.63%5.15%5.77%7.18%8.49%9.55%10.56%11.61%12.10%12.19%8.43%

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
+16.48%
Clear Edge
46.15%24.18%29.67%
Elo Value
Home Edge
149 Elo
0.007 goals per Elo point
057.80400
Scoring Tilt
Expected
+0.53 goals
Home-Tilted
-2+0.39+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
2.2
Top-Heavy
124610
Champion Preseason Odds
66%
Rosenborg, 1st of 14
LongshotFavorite
Title Margin
Expected
0.54/gm
Comfortable
00.220.8/gm

Simulation-Based Surprises

How these are measured

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

Luck Spread
Standard deviation of the gap between each team's actual points and their simulated average points. The gold line is the spread the model expected from chance alone.
As Expected: under 5.15 * Some Luck: 5.15 to 7.72 * Lucky: 7.72 to 10.3 * Wild Swing: 10.3 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 2.06 * Close: 2.06 to 3.1 * Off: 3.1 to 4.13 * Way Off: 4.13 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
5.99 points
Some Luck
06.4416
Average Finish Error
Expected
2.29
Close
02.586
Biggest Overachiever
Expected 96.43%
95.77%
Rosenborg
50100
Biggest Underachiever
Expected 3.57%
6.51%
Bryne
050
Season Outliers
Expected
2 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
0.14
Even
00.120.180.260.5
Noll-Scully
Coin-flip
1.27
Moderate Separation
01.003
Interquartile Edge
63%
Slight Edge
50%60%70%80%100%
Best vs. Worst
Baseline
83%
Strong Edge
50%83%100%
Close Games
Expected
52%
Very Frequent
0%51%100%
Blowouts
Expected
23%
Very Frequent
0%25%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
00.622
Matchup Imbalance
0.28
Notable Separation
00.10.180.280.5
Strangeness
Expected
0.87
As Expected
01.002
Repeatability
0.53
Some Carryover
00.30.60.851
Upset Rate
Expected
27%
As Expected
0%27%50%
Clear Favorite Upset Rate
Expected
23%
As Expected
0%23%50%

Calibration

How these are measured

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

Probability calibration
An all-in-one chi-square test of the model's probabilities. Matches are grouped by how confident the model was, and within each group the predicted and actual counts of home wins, draws, and away wins are compared. The p-value is plotted; above 0.05 means well-calibrated.
Miscalibrated: under 0.05 * Borderline: 0.05 to 0.1 * Well Calibrated: 0.1 to 0.5 * Excellent: 0.5 and up.
Calibration slope
Checks whether the spread of the probabilities is right. Each probability is turned into log-odds and a line is fit predicting the actual results. A slope of 1.00 is perfect; below 1 is overconfidence (favorites lost more than their odds implied); above 1 is under-confidence.
Overconfident: under 0.85 * Calibrated: 0.85 to 1.15 * Underconfident: 1.15 to 1.3 * Very Underconfident: 1.3 and up.
Calibration error (ECE)
The average gap between the model's stated chances and how often the predicted result actually happened. Smaller is better. The gold line is the noise ceiling, the error luck alone can produce even with perfect probabilities; below it, the model's error is no larger than chance.
Well Within Noise: under 0.13 * Near Noise Ceiling: 0.13 to 0.19 * Above Noise: 0.19 to 0.25 * Well Above Noise: 0.25 and up.
Probability calibration
0.95
Excellent
0.010.050.10.51
Calibration slope
Ideal
0.88
Calibrated
0.51.001.5
Calibration error (ECE)
Noise ceiling
0.028
Well Within Noise
00.1250.3

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 99.94% 0.03% 0.03%
Viking 97.68% 1.30% 1.02%
Stabaek 96.63% 1.87% 1.50%
Molde 92.06% 4.04% 3.90%
Odd Grenland 91.68% 4.34% 3.98%
Lillestrom 90.08% 4.74% 5.18%
Bodo Glimt 89.36% 5.14% 5.50%
Valerenga 82.15% 7.92% 9.93%
Sogndal 80.60% 8.86% 10.54%
Lyn Oslo 77.97% 9.20% 12.83%
Bryne 67.28% 12.10% 20.62%
Brann 63.81% 12.67% 23.52%
Tromso 44.27% 14.94% 40.79%
Aalesund 26.49% 12.85% 60.66%

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
2003-04-12 Valerenga W 1-0 1684 1605 55.5% 23.2% 21.3% +3.7 3
2003-04-12 @ Rosenborg L 0-1 1605 1684 21.3% 23.2% 55.5% -3.7 0
2003-04-13 Bodo Glimt W 1-0 1647 1591 52.6% 23.9% 23.4% +4.0 3
2003-04-13 @ Lillestrom L 0-1 1591 1647 23.4% 23.9% 52.6% -4.0 0
2003-04-13 Bryne W 3-0 1645 1587 52.9% 23.9% 23.2% +10.8 3
2003-04-13 @ Viking L 0-3 1587 1645 23.2% 23.9% 52.9% -10.8 0
2003-04-13 Molde W 1-0 1620 1662 39.3% 25.6% 35.1% +5.6 3
2003-04-13 @ Odd Grenland L 0-1 1662 1620 35.1% 25.6% 39.3% -5.6 0
2003-04-13 Stabaek W 2-1 1570 1640 35.4% 25.6% 38.9% +5.7 3
2003-04-13 @ Sogndal L 1-2 1640 1570 38.9% 25.6% 35.4% -5.7 0
2003-04-13 Tromso L 2-3 1514 1568 37.7% 25.6% 36.7% -5.3 0
2003-04-13 @ Aalesund W 3-2 1568 1514 36.7% 25.6% 37.7% +5.3 3
2003-04-14 Brann D 0-0 1615 1573 50.9% 24.3% 24.8% -0.9 1
2003-04-14 @ Lyn Oslo D 0-0 1573 1615 24.8% 24.3% 50.9% +0.9 1
2003-04-21 Aalesund W 3-1 1601 1509 57.1% 22.8% 20.1% +5.6 3
2003-04-21 @ Valerenga L 1-3 1509 1601 20.1% 22.8% 57.1% -5.6 0
2003-04-21 Lillestrom W 4-0 1657 1651 46.1% 25.1% 28.8% +17.1 3
2003-04-21 @ Molde L 0-4 1651 1657 28.8% 25.1% 46.1% -17.1 3
2003-04-21 Lyn Oslo W 3-2 1587 1614 41.6% 25.5% 32.9% +4.8 3
2003-04-21 @ Bodo Glimt L 2-3 1614 1587 32.9% 25.5% 41.6% -4.8 1
2003-04-21 Odd Grenland W 4-1 1634 1625 46.5% 25.0% 28.4% +10.9 3
2003-04-21 @ Stabaek L 1-4 1625 1634 28.4% 25.0% 46.5% -10.9 3
2003-04-21 Sogndal L 0-1 1576 1575 45.4% 25.2% 29.4% -6.8 0
2003-04-21 @ Bryne W 1-0 1575 1576 29.4% 25.2% 45.4% +6.8 6
2003-04-21 Viking D 2-2 1574 1656 33.8% 25.6% 40.6% +0.2 4
2003-04-21 @ Tromso D 2-2 1656 1574 40.6% 25.6% 33.8% -0.2 4
2003-04-22 Rosenborg L 1-6 1574 1687 29.7% 25.2% 45.1% -17.9 1
2003-04-22 @ Brann W 6-1 1687 1574 45.1% 25.2% 29.7% +17.9 6
2003-04-26 Brann D 3-3 1503 1556 37.9% 25.6% 36.4% -0.0 1
2003-04-26 @ Aalesund D 3-3 1556 1503 36.4% 25.6% 37.9% +0.0 2
2003-04-26 Bryne W 3-2 1614 1569 51.3% 24.2% 24.5% +3.7 6
2003-04-26 @ Odd Grenland L 2-3 1569 1614 24.5% 24.2% 51.3% -3.7 0
2003-04-26 Molde W 2-0 1592 1674 33.8% 25.6% 40.6% +11.8 6
2003-04-26 @ Bodo Glimt L 0-2 1674 1592 40.6% 25.6% 33.8% -11.8 3
2003-04-26 Stabaek L 0-2 1634 1645 43.8% 25.3% 30.9% -12.5 3
2003-04-26 @ Lillestrom W 2-0 1645 1634 30.9% 25.3% 43.8% +12.5 6
2003-04-26 Tromso W 3-1 1582 1574 46.4% 25.1% 28.5% +7.7 9
2003-04-26 @ Sogndal L 1-3 1574 1582 28.5% 25.1% 46.4% -7.7 4
2003-04-26 Valerenga W 2-0 1655 1607 51.7% 24.1% 24.1% +7.7 7
2003-04-26 @ Viking L 0-2 1607 1655 24.1% 24.1% 51.7% -7.7 3
2003-04-27 Rosenborg L 0-3 1609 1705 31.9% 25.4% 42.6% -14.2 1
2003-04-27 @ Lyn Oslo W 3-0 1705 1609 42.6% 25.4% 31.9% +14.2 9
2003-05-04 Aalesund W 1-0 1720 1503 70.3% 17.6% 12.1% +2.0 12
2003-05-04 @ Rosenborg L 0-1 1503 1720 12.1% 17.6% 70.3% -2.0 1
2003-05-04 Bodo Glimt D 0-0 1657 1604 52.4% 24.0% 23.6% -1.0 7
2003-05-04 @ Stabaek D 0-0 1604 1657 23.6% 24.0% 52.4% +1.1 7
2003-05-04 Lillestrom W 3-1 1565 1621 37.4% 25.6% 36.9% +9.5 3
2003-05-04 @ Bryne L 1-3 1621 1565 36.9% 25.6% 37.4% -9.5 3
2003-05-04 Lyn Oslo D 2-2 1662 1595 54.0% 23.6% 22.4% -0.8 4
2003-05-04 @ Molde D 2-2 1595 1662 22.4% 23.6% 54.0% +0.8 2
2003-05-04 Odd Grenland L 0-2 1566 1618 38.0% 25.6% 36.3% -11.2 4
2003-05-04 @ Tromso W 2-0 1618 1566 36.3% 25.6% 38.0% +11.2 9
2003-05-04 Sogndal D 3-3 1599 1590 46.6% 25.0% 28.4% -0.3 4
2003-05-04 @ Valerenga D 3-3 1590 1599 28.4% 25.0% 46.6% +0.3 10
2003-05-05 Viking L 0-3 1556 1663 30.5% 25.3% 44.2% -13.7 2
2003-05-05 @ Brann W 3-0 1663 1556 44.2% 25.3% 30.5% +13.7 10
2003-05-10 Rosenborg L 0-2 1677 1722 39.1% 25.6% 35.3% -11.4 10
2003-05-10 @ Viking W 2-0 1722 1677 35.3% 25.6% 39.1% +11.4 15
2003-05-11 Aalesund W 2-1 1596 1501 57.4% 22.7% 20.0% +3.2 5
2003-05-11 @ Lyn Oslo L 1-2 1501 1596 20.0% 22.7% 57.4% -3.2 1
2003-05-11 Brann W 2-0 1590 1542 51.7% 24.2% 24.2% +7.8 13
2003-05-11 @ Sogndal L 0-2 1542 1590 24.2% 24.2% 51.7% -7.8 2
2003-05-11 Bryne W 3-1 1605 1575 49.3% 24.6% 26.1% +7.2 10
2003-05-11 @ Bodo Glimt L 1-3 1575 1605 26.1% 24.6% 49.3% -7.2 3
2003-05-11 Stabaek D 0-0 1661 1656 46.0% 25.1% 28.9% -0.6 5
2003-05-11 @ Molde D 0-0 1656 1661 28.9% 25.1% 46.0% +0.6 8
2003-05-11 Valerenga W 3-1 1629 1599 49.3% 24.6% 26.1% +7.2 12
2003-05-11 @ Odd Grenland L 1-3 1599 1629 26.1% 24.6% 49.3% -7.2 4
2003-05-12 Tromso W 3-2 1612 1555 52.8% 23.9% 23.3% +3.6 6
2003-05-12 @ Lillestrom L 2-3 1555 1612 23.3% 23.9% 52.8% -3.6 4
2003-05-16 Bodo Glimt D 3-3 1551 1612 36.8% 25.6% 37.6% +0.0 5
2003-05-16 @ Tromso D 3-3 1612 1551 37.6% 25.6% 36.8% -0.0 11
2003-05-16 Lillestrom D 1-1 1592 1616 42.0% 25.5% 32.5% -0.3 5
2003-05-16 @ Valerenga D 1-1 1616 1592 32.5% 25.5% 42.0% +0.3 7
2003-05-16 Lyn Oslo L 1-3 1657 1599 52.9% 23.9% 23.2% -12.6 8
2003-05-16 @ Stabaek W 3-1 1599 1657 23.2% 23.9% 52.9% +12.6 8
2003-05-16 Molde W 3-0 1568 1661 32.4% 25.5% 42.2% +17.6 6
2003-05-16 @ Bryne L 0-3 1661 1568 42.2% 25.5% 32.4% -17.6 5
2003-05-16 Odd Grenland W 3-0 1534 1636 31.2% 25.4% 43.4% +18.0 5
2003-05-16 @ Brann L 0-3 1636 1534 43.4% 25.4% 31.2% -18.0 12
2003-05-16 Sogndal W 3-1 1733 1598 62.0% 21.1% 16.9% +4.7 18
2003-05-16 @ Rosenborg L 1-3 1598 1733 16.9% 21.1% 62.0% -4.7 13
2003-05-16 Viking D 1-1 1498 1666 23.8% 24.1% 52.2% +0.9 2
2003-05-16 @ Aalesund D 1-1 1666 1498 52.2% 24.1% 23.8% -0.9 11
2003-05-25 Aalesund D 1-1 1593 1499 57.3% 22.7% 20.0% -1.2 14
2003-05-25 @ Sogndal D 1-1 1499 1593 20.0% 22.7% 57.3% +1.2 3
2003-05-25 Brann D 0-0 1616 1552 53.6% 23.7% 22.7% -1.1 8
2003-05-25 @ Lillestrom D 0-0 1552 1616 22.7% 23.7% 53.6% +1.1 6
2003-05-25 Rosenborg L 2-3 1618 1738 29.0% 25.1% 45.8% -4.3 12
2003-05-25 @ Odd Grenland W 3-2 1738 1618 45.8% 25.1% 29.0% +4.3 21
2003-05-25 Tromso W 2-1 1643 1551 57.0% 22.8% 20.2% +3.3 8
2003-05-25 @ Molde L 1-2 1551 1643 20.2% 22.8% 57.0% -3.3 5
2003-05-25 Valerenga D 0-0 1612 1591 48.0% 24.8% 27.1% -0.8 12
2003-05-25 @ Bodo Glimt D 0-0 1591 1612 27.1% 24.8% 48.0% +0.7 6
2003-05-25 Viking D 3-3 1611 1665 37.9% 25.6% 36.5% -0.0 9
2003-05-25 @ Lyn Oslo D 3-3 1665 1611 36.5% 25.6% 37.9% +0.0 12
2003-05-26 Bryne W 2-1 1644 1585 53.0% 23.8% 23.1% +3.7 11
2003-05-26 @ Stabaek L 1-2 1585 1644 23.1% 23.8% 53.0% -3.7 6
2003-05-28 Lillestrom D 1-1 1742 1615 61.1% 21.5% 17.4% -1.5 22
2003-05-28 @ Rosenborg D 1-1 1615 1742 17.4% 21.5% 61.1% +1.5 9
2003-05-28 Sogndal W 2-1 1665 1592 54.7% 23.4% 21.9% +3.5 15
2003-05-28 @ Viking L 1-2 1592 1665 21.9% 23.4% 54.7% -3.5 14
2003-05-29 Bodo Glimt L 0-2 1553 1611 37.2% 25.6% 37.1% -11.0 6
2003-05-29 @ Brann W 2-0 1611 1553 37.1% 25.6% 37.2% +11.0 15
2003-05-29 Lyn Oslo W 4-0 1582 1611 41.2% 25.5% 33.3% +19.2 9
2003-05-29 @ Bryne L 0-4 1611 1582 33.3% 25.5% 41.2% -19.2 9
2003-05-29 Molde W 2-0 1592 1646 37.7% 25.6% 36.7% +10.9 9
2003-05-29 @ Valerenga L 0-2 1646 1592 36.7% 25.6% 37.7% -10.9 8
2003-05-29 Odd Grenland D 2-2 1500 1614 29.7% 25.2% 45.1% +0.4 4
2003-05-29 @ Aalesund D 2-2 1614 1500 45.1% 25.2% 29.7% -0.4 13
2003-05-29 Stabaek L 1-3 1548 1648 31.4% 25.4% 43.1% -8.4 5
2003-05-29 @ Tromso W 3-1 1648 1548 43.1% 25.4% 31.4% +8.4 14
2003-06-01 Aalesund D 1-1 1616 1500 59.8% 21.9% 18.3% -1.4 10
2003-06-01 @ Lillestrom D 1-1 1500 1616 18.3% 21.9% 59.8% +1.4 5
2003-06-01 Rosenborg L 0-3 1622 1741 29.2% 25.1% 45.7% -13.2 15
2003-06-01 @ Bodo Glimt W 3-0 1741 1622 45.7% 25.1% 29.2% +13.2 25
2003-06-01 Sogndal W 3-0 1592 1588 45.8% 25.1% 29.1% +13.2 12
2003-06-01 @ Lyn Oslo L 0-3 1588 1592 29.1% 25.1% 45.8% -13.2 14
2003-06-01 Tromso W 6-1 1601 1540 53.3% 23.8% 22.9% +14.3 12
2003-06-01 @ Bryne L 1-6 1540 1601 22.9% 23.8% 53.3% -14.3 5
2003-06-01 Valerenga W 1-0 1656 1603 52.3% 24.0% 23.7% +4.0 17
2003-06-01 @ Stabaek L 0-1 1603 1656 23.7% 24.0% 52.3% -4.0 9
2003-06-01 Viking D 1-1 1614 1668 37.6% 25.6% 36.7% -0.0 14
2003-06-01 @ Odd Grenland D 1-1 1668 1614 36.7% 25.6% 37.6% +0.0 16
2003-06-02 Brann W 3-0 1635 1542 57.2% 22.8% 20.1% +9.5 11
2003-06-02 @ Molde L 0-3 1542 1635 20.1% 22.8% 57.2% -9.5 6
2003-06-14 Molde W 5-0 1754 1645 59.0% 22.2% 18.8% +14.3 28
2003-06-14 @ Rosenborg L 0-5 1645 1754 18.8% 22.2% 59.0% -14.3 11
2003-06-15 Bodo Glimt L 0-2 1502 1609 30.5% 25.3% 44.1% -9.5 5
2003-06-15 @ Aalesund W 2-0 1609 1502 44.1% 25.3% 30.5% +9.5 18
2003-06-15 Lillestrom D 1-1 1668 1615 52.3% 24.0% 23.7% -0.9 17
2003-06-15 @ Viking D 1-1 1615 1668 23.7% 24.0% 52.3% +0.9 11
2003-06-15 Lyn Oslo L 0-1 1525 1605 34.1% 25.6% 40.4% -5.5 5
2003-06-15 @ Tromso W 1-0 1605 1525 40.4% 25.6% 34.1% +5.5 15
2003-06-15 Odd Grenland W 5-0 1575 1614 40.0% 25.6% 34.4% +24.3 17
2003-06-15 @ Sogndal L 0-5 1614 1575 34.4% 25.6% 40.0% -24.3 14
2003-06-15 Stabaek D 3-3 1533 1660 28.1% 25.0% 46.9% +0.4 7
2003-06-15 @ Brann D 3-3 1660 1533 46.9% 25.0% 28.1% -0.4 18
2003-06-16 Bryne W 3-0 1599 1615 43.1% 25.4% 31.5% +14.1 12
2003-06-16 @ Valerenga L 0-3 1615 1599 31.5% 25.4% 43.1% -14.1 12
2003-06-22 Aalesund L 2-3 1631 1492 62.3% 21.0% 16.7% -7.9 11
2003-06-22 @ Molde W 3-2 1492 1631 16.7% 21.0% 62.3% +7.9 8
2003-06-22 Odd Grenland L 0-2 1611 1589 48.2% 24.8% 27.0% -13.5 15
2003-06-22 @ Lyn Oslo W 2-0 1589 1611 27.0% 24.8% 48.2% +13.5 17
2003-06-22 Rosenborg D 2-2 1660 1768 30.4% 25.3% 44.3% +0.3 19
2003-06-22 @ Stabaek D 2-2 1768 1660 44.3% 25.3% 30.4% -0.3 29
2003-06-22 Sogndal D 1-1 1616 1600 47.5% 24.9% 27.6% -0.6 12
2003-06-22 @ Lillestrom D 1-1 1600 1616 27.6% 24.9% 47.5% +0.6 18
2003-06-22 Valerenga D 1-1 1520 1613 32.3% 25.5% 42.2% +0.3 6
2003-06-22 @ Tromso D 1-1 1613 1520 42.2% 25.5% 32.3% -0.3 13
2003-06-22 Viking D 1-1 1618 1667 38.5% 25.6% 35.9% -0.1 19
2003-06-22 @ Bodo Glimt D 1-1 1667 1618 35.9% 25.6% 38.5% +0.1 18
2003-06-23 Brann D 1-1 1601 1533 54.1% 23.6% 22.3% -1.0 13
2003-06-23 @ Bryne D 1-1 1533 1601 22.3% 23.6% 54.1% +1.1 8
2003-06-29 Bodo Glimt W 2-1 1600 1618 42.8% 25.4% 31.8% +4.9 21
2003-06-29 @ Sogndal L 1-2 1618 1600 31.8% 25.4% 42.8% -4.9 19
2003-06-29 Bryne W 4-1 1768 1600 65.5% 19.8% 14.8% +5.8 32
2003-06-29 @ Rosenborg L 1-4 1600 1768 14.8% 19.8% 65.5% -5.8 13
2003-06-29 Lillestrom W 5-0 1603 1615 43.6% 25.4% 31.0% +22.4 20
2003-06-29 @ Odd Grenland L 0-5 1615 1603 31.0% 25.4% 43.6% -22.4 12
2003-06-29 Stabaek D 1-1 1500 1660 24.5% 24.2% 51.2% +0.9 9
2003-06-29 @ Aalesund D 1-1 1660 1500 51.2% 24.2% 24.5% -0.9 20
2003-06-29 Tromso L 0-1 1534 1520 47.2% 24.9% 27.8% -7.0 8
2003-06-29 @ Brann W 1-0 1520 1534 27.8% 24.9% 47.2% +7.0 9
2003-06-30 Valerenga D 1-1 1597 1613 43.2% 25.4% 31.4% -0.4 16
2003-06-30 @ Lyn Oslo D 1-1 1613 1597 31.4% 25.4% 43.2% +0.4 14
2003-07-19 Sogndal W 3-1 1623 1605 47.7% 24.9% 27.4% +7.5 14
2003-07-19 @ Molde L 1-3 1605 1623 27.4% 24.9% 47.7% -7.5 21
2003-07-20 Aalesund W 2-0 1594 1501 57.2% 22.8% 20.1% +6.5 16
2003-07-20 @ Bryne L 0-2 1501 1594 20.1% 22.8% 57.2% -6.5 9
2003-07-20 Lyn Oslo W 2-0 1593 1597 44.7% 25.2% 30.0% +9.3 15
2003-07-20 @ Lillestrom L 0-2 1597 1593 30.0% 25.2% 44.7% -9.3 16
2003-07-20 Odd Grenland W 1-0 1613 1625 43.7% 25.4% 31.0% +5.1 22
2003-07-20 @ Bodo Glimt L 0-1 1625 1613 31.0% 25.4% 43.7% -5.1 20
2003-07-20 Rosenborg W 2-1 1527 1773 17.2% 21.3% 61.5% +8.2 12
2003-07-20 @ Tromso L 1-2 1773 1527 61.5% 21.3% 17.2% -8.2 32
2003-07-20 Viking L 0-2 1660 1667 44.2% 25.3% 30.5% -12.6 20
2003-07-20 @ Stabaek W 2-0 1667 1660 30.5% 25.3% 44.2% +12.6 21
2003-07-21 Brann L 0-2 1613 1527 56.3% 23.0% 20.7% -15.3 14
2003-07-21 @ Valerenga W 2-0 1527 1613 20.7% 23.0% 56.3% +15.3 11
2003-07-27 Aalesund L 0-1 1536 1495 50.7% 24.3% 24.9% -7.5 12
2003-07-27 @ Tromso W 1-0 1495 1536 24.9% 24.3% 50.7% +7.5 12
2003-07-27 Lillestrom L 0-2 1618 1602 47.5% 24.9% 27.6% -13.3 22
2003-07-27 @ Bodo Glimt W 2-0 1602 1618 27.6% 24.9% 47.5% +13.3 18
2003-07-27 Lyn Oslo W 4-1 1543 1588 39.0% 25.6% 35.4% +13.0 14
2003-07-27 @ Brann L 1-4 1588 1543 35.4% 25.6% 39.0% -13.0 16
2003-07-27 Odd Grenland L 0-1 1630 1620 46.7% 25.0% 28.3% -7.0 14
2003-07-27 @ Molde W 1-0 1620 1630 28.3% 25.0% 46.7% +7.0 23
2003-07-27 Rosenborg L 0-1 1598 1765 23.8% 24.1% 52.1% -4.0 14
2003-07-27 @ Valerenga W 1-0 1765 1598 52.1% 24.1% 23.8% +4.1 35
2003-07-27 Sogndal L 2-3 1647 1598 51.8% 24.1% 24.1% -6.8 20
2003-07-27 @ Stabaek W 3-2 1598 1647 24.1% 24.1% 51.8% +6.8 24
2003-07-27 Viking W 1-0 1601 1680 34.2% 25.6% 40.2% +6.2 19
2003-07-27 @ Bryne L 0-1 1680 1601 40.2% 25.6% 34.2% -6.2 21
2003-07-30 Molde L 1-2 1674 1623 51.9% 24.1% 24.0% -7.2 21
2003-07-30 @ Viking W 2-1 1623 1674 24.0% 24.1% 51.9% +7.2 17
2003-07-31 Bodo Glimt L 1-2 1575 1605 41.1% 25.5% 33.4% -5.9 16
2003-07-31 @ Lyn Oslo W 2-1 1605 1575 33.4% 25.5% 41.1% +5.9 25
2003-08-03 Brann D 2-2 1769 1556 70.0% 17.7% 12.3% -1.5 36
2003-08-03 @ Rosenborg D 2-2 1556 1769 12.3% 17.7% 70.0% +1.5 15
2003-08-03 Bryne W 4-0 1604 1607 45.0% 25.2% 29.8% +17.6 27
2003-08-03 @ Sogndal L 0-4 1607 1604 29.8% 25.2% 45.0% -17.6 19
2003-08-03 Molde W 3-0 1615 1630 43.2% 25.4% 31.4% +14.0 21
2003-08-03 @ Lillestrom L 0-3 1630 1615 31.4% 25.4% 43.2% -14.0 17
2003-08-03 Tromso W 4-0 1667 1528 62.3% 21.0% 16.7% +10.2 24
2003-08-03 @ Viking L 0-4 1528 1667 16.7% 21.0% 62.3% -10.2 12
2003-08-03 Valerenga L 0-2 1502 1594 32.5% 25.5% 42.0% -9.9 12
2003-08-03 @ Aalesund W 2-0 1594 1502 42.0% 25.5% 32.5% +9.9 17
2003-08-04 Stabaek D 1-1 1627 1640 43.5% 25.4% 31.1% -0.4 24
2003-08-04 @ Odd Grenland D 1-1 1640 1627 31.1% 25.4% 43.5% +0.4 21
2003-08-10 Aalesund W 3-0 1557 1492 53.8% 23.7% 22.5% +10.5 18
2003-08-10 @ Brann L 0-3 1492 1557 22.5% 23.7% 53.8% -10.5 12
2003-08-10 Lillestrom W 1-0 1641 1629 46.8% 25.0% 28.2% +4.7 24
2003-08-10 @ Stabaek L 0-1 1629 1641 28.2% 25.0% 46.8% -4.7 21
2003-08-10 Lyn Oslo W 2-0 1768 1569 68.6% 18.4% 13.0% +4.1 39
2003-08-10 @ Rosenborg L 0-2 1569 1768 13.0% 18.4% 68.6% -4.1 16
2003-08-10 Odd Grenland W 3-2 1589 1627 40.1% 25.6% 34.3% +4.9 22
2003-08-10 @ Bryne L 2-3 1627 1589 34.3% 25.6% 40.1% -4.9 24
2003-08-10 Sogndal D 1-1 1518 1622 30.9% 25.4% 43.7% +0.4 13
2003-08-10 @ Tromso D 1-1 1622 1518 43.7% 25.4% 30.9% -0.4 28
2003-08-10 Viking D 2-2 1604 1677 35.0% 25.6% 39.4% +0.1 18
2003-08-10 @ Valerenga D 2-2 1677 1604 39.4% 25.6% 35.0% -0.1 25
2003-08-11 Bodo Glimt L 0-2 1616 1611 46.0% 25.1% 28.9% -13.0 17
2003-08-11 @ Molde W 2-0 1611 1616 28.9% 25.1% 46.0% +13.0 28
2003-08-15 Stabaek W 3-1 1624 1645 42.4% 25.5% 32.2% +8.5 31
2003-08-15 @ Bodo Glimt L 1-3 1645 1624 32.2% 25.5% 42.4% -8.5 24
2003-08-16 Brann D 3-3 1677 1568 59.0% 22.2% 18.8% -0.8 26
2003-08-16 @ Viking D 3-3 1568 1677 18.8% 22.2% 59.0% +0.8 19
2003-08-16 Bryne W 4-0 1625 1594 49.4% 24.6% 26.0% +15.7 24
2003-08-16 @ Lillestrom L 0-4 1594 1625 26.0% 24.6% 49.4% -15.7 22
2003-08-16 Rosenborg L 0-2 1481 1772 14.4% 19.4% 66.2% -4.6 12
2003-08-16 @ Aalesund W 2-0 1772 1481 66.2% 19.4% 14.4% +4.6 42
2003-08-16 Tromso W 5-0 1622 1518 58.4% 22.4% 19.2% +14.6 27
2003-08-16 @ Odd Grenland L 0-5 1518 1622 19.2% 22.4% 58.4% -14.6 13
2003-08-16 Valerenga D 0-0 1622 1604 47.7% 24.9% 27.4% -0.7 29
2003-08-16 @ Sogndal D 0-0 1604 1622 27.4% 24.9% 47.7% +0.7 19
2003-08-17 Molde L 0-2 1565 1603 39.9% 25.6% 34.5% -11.6 16
2003-08-17 @ Lyn Oslo W 2-0 1603 1565 34.5% 25.6% 39.9% +11.6 20
2003-08-23 Viking W 4-1 1777 1676 58.1% 22.5% 19.5% +7.7 45
2003-08-23 @ Rosenborg L 1-4 1676 1777 19.5% 22.5% 58.1% -7.7 26
2003-08-24 Bodo Glimt L 0-2 1579 1633 37.7% 25.6% 36.6% -11.1 22
2003-08-24 @ Bryne W 2-0 1633 1579 36.6% 25.6% 37.7% +11.1 34
2003-08-24 Lillestrom W 2-0 1504 1640 27.1% 24.8% 48.1% +13.5 16
2003-08-24 @ Tromso L 0-2 1640 1504 48.1% 24.8% 27.1% -13.5 24
2003-08-24 Lyn Oslo W 2-0 1477 1553 34.6% 25.6% 39.8% +11.6 15
2003-08-24 @ Aalesund L 0-2 1553 1477 39.8% 25.6% 34.6% -11.6 16
2003-08-24 Molde D 1-1 1637 1615 48.2% 24.8% 27.0% -0.7 25
2003-08-24 @ Stabaek D 1-1 1615 1637 27.0% 24.8% 48.2% +0.7 21
2003-08-24 Odd Grenland L 0-3 1605 1636 40.9% 25.6% 33.6% -17.2 19
2003-08-24 @ Valerenga W 3-0 1636 1605 33.6% 25.6% 40.9% +17.2 30
2003-08-25 Sogndal W 6-1 1569 1621 38.0% 25.6% 36.4% +21.0 22
2003-08-25 @ Brann L 1-6 1621 1569 36.4% 25.6% 38.0% -21.0 29
2003-08-31 Aalesund W 4-0 1668 1489 66.7% 19.2% 14.1% +8.5 29
2003-08-31 @ Viking L 0-4 1489 1668 14.1% 19.2% 66.7% -8.5 15
2003-08-31 Brann L 1-3 1653 1590 53.6% 23.7% 22.7% -12.7 30
2003-08-31 @ Odd Grenland W 3-1 1590 1653 22.7% 23.7% 53.6% +12.7 25
2003-08-31 Bryne W 3-2 1616 1567 51.7% 24.1% 24.2% +3.7 24
2003-08-31 @ Molde L 2-3 1567 1616 24.2% 24.1% 51.7% -3.7 22
2003-08-31 Rosenborg D 1-1 1600 1784 22.2% 23.6% 54.2% +1.0 30
2003-08-31 @ Sogndal D 1-1 1784 1600 54.2% 23.6% 22.2% -1.0 46
2003-08-31 Stabaek L 2-3 1542 1636 32.1% 25.4% 42.4% -4.7 16
2003-08-31 @ Lyn Oslo W 3-2 1636 1542 42.4% 25.4% 32.1% +4.7 28
2003-08-31 Tromso L 1-2 1644 1517 61.0% 21.5% 17.5% -8.2 34
2003-08-31 @ Bodo Glimt W 2-1 1517 1644 17.5% 21.5% 61.0% +8.2 19
2003-09-01 Valerenga D 0-0 1627 1587 50.5% 24.4% 25.1% -0.9 25
2003-09-01 @ Lillestrom D 0-0 1587 1627 25.1% 24.4% 50.5% +0.9 20
2003-09-13 Odd Grenland W 3-1 1783 1641 62.8% 20.8% 16.4% +4.6 49
2003-09-13 @ Rosenborg L 1-3 1641 1783 16.4% 20.8% 62.8% -4.6 30
2003-09-14 Bodo Glimt D 1-1 1588 1636 38.7% 25.6% 35.7% -0.1 21
2003-09-14 @ Valerenga D 1-1 1636 1588 35.7% 25.6% 38.7% +0.1 35
2003-09-14 Lyn Oslo D 2-2 1677 1537 62.5% 20.9% 16.6% -1.2 30
2003-09-14 @ Viking D 2-2 1537 1677 16.6% 20.9% 62.5% +1.2 17
2003-09-14 Molde W 1-0 1525 1619 32.2% 25.5% 42.3% +6.4 22
2003-09-14 @ Tromso L 0-1 1619 1525 42.3% 25.5% 32.2% -6.5 24
2003-09-14 Sogndal W 3-0 1480 1601 28.9% 25.1% 46.0% +18.9 18
2003-09-14 @ Aalesund L 0-3 1601 1480 46.0% 25.1% 28.9% -18.9 30
2003-09-14 Stabaek L 0-2 1564 1641 34.5% 25.6% 39.9% -10.4 22
2003-09-14 @ Bryne W 2-0 1641 1564 39.9% 25.6% 34.5% +10.4 31
2003-09-15 Lillestrom L 1-3 1602 1626 42.0% 25.5% 32.5% -10.5 25
2003-09-15 @ Brann W 3-1 1626 1602 32.5% 25.5% 42.0% +10.5 28
2003-09-21 Aalesund W 3-0 1636 1499 62.2% 21.1% 16.8% +7.8 33
2003-09-21 @ Odd Grenland L 0-3 1499 1636 16.8% 21.1% 62.2% -7.9 18
2003-09-21 Brann W 3-0 1636 1592 51.1% 24.3% 24.6% +11.4 38
2003-09-21 @ Bodo Glimt L 0-3 1592 1636 24.6% 24.3% 51.1% -11.4 25
2003-09-21 Bryne W 2-0 1538 1553 43.2% 25.4% 31.4% +9.7 20
2003-09-21 @ Lyn Oslo L 0-2 1553 1538 31.4% 25.4% 43.2% -9.7 22
2003-09-21 Rosenborg L 0-6 1636 1788 25.5% 24.5% 50.1% -22.5 28
2003-09-21 @ Lillestrom W 6-0 1788 1636 50.1% 24.5% 25.5% +22.5 52
2003-09-21 Tromso D 2-2 1651 1532 60.2% 21.8% 18.0% -1.0 32
2003-09-21 @ Stabaek D 2-2 1532 1651 18.0% 21.8% 60.2% +1.1 23
2003-09-21 Valerenga W 1-0 1613 1588 48.6% 24.7% 26.7% +4.5 27
2003-09-21 @ Molde L 0-1 1588 1613 26.7% 24.7% 48.6% -4.5 21
2003-09-22 Viking D 2-2 1582 1675 32.3% 25.5% 42.2% +0.2 31
2003-09-22 @ Sogndal D 2-2 1675 1582 42.2% 25.5% 32.3% -0.2 31
2003-09-27 Stabaek D 2-2 1584 1650 36.0% 25.6% 38.4% +0.1 22
2003-09-27 @ Valerenga D 2-2 1650 1584 38.4% 25.6% 36.0% -0.1 33
2003-09-28 Bodo Glimt W 5-4 1810 1647 65.0% 20.0% 15.1% +2.2 55
2003-09-28 @ Rosenborg L 4-5 1647 1810 15.1% 20.0% 65.0% -2.2 38
2003-09-28 Bryne W 2-0 1533 1544 43.8% 25.3% 30.8% +9.5 26
2003-09-28 @ Tromso L 0-2 1544 1533 30.8% 25.3% 43.8% -9.5 22
2003-09-28 Lillestrom W 2-1 1491 1614 28.6% 25.1% 46.3% +6.5 21
2003-09-28 @ Aalesund L 1-2 1614 1491 46.3% 25.1% 28.6% -6.5 28
2003-09-28 Lyn Oslo L 1-2 1582 1548 49.9% 24.5% 25.6% -6.9 31
2003-09-28 @ Sogndal W 2-1 1548 1582 25.6% 24.5% 49.9% +6.9 23
2003-09-28 Molde W 3-2 1580 1617 40.1% 25.6% 34.3% +4.9 28
2003-09-28 @ Brann L 2-3 1617 1580 34.3% 25.6% 40.1% -4.9 27
2003-09-29 Odd Grenland L 0-1 1675 1644 49.5% 24.6% 25.9% -7.3 31
2003-09-29 @ Viking W 1-0 1644 1675 25.9% 24.6% 49.5% +7.3 36
2003-10-04 Brann W 6-0 1650 1585 53.7% 23.7% 22.6% +20.2 36
2003-10-04 @ Stabaek L 0-6 1585 1650 22.6% 23.7% 53.7% -20.2 28
2003-10-05 Aalesund L 0-2 1645 1498 63.3% 20.6% 16.1% -16.8 38
2003-10-05 @ Bodo Glimt W 2-0 1498 1645 16.1% 20.6% 63.3% +16.8 24
2003-10-05 Rosenborg L 0-2 1613 1812 20.8% 23.1% 56.1% -6.7 27
2003-10-05 @ Molde W 2-0 1812 1613 56.1% 23.1% 20.8% +6.7 58
2003-10-05 Sogndal D 3-3 1651 1575 55.1% 23.3% 21.6% -0.7 37
2003-10-05 @ Odd Grenland D 3-3 1575 1651 21.6% 23.3% 55.1% +0.7 32
2003-10-05 Valerenga L 3-4 1534 1584 38.4% 25.6% 36.0% -5.2 22
2003-10-05 @ Bryne W 4-3 1584 1534 36.0% 25.6% 38.4% +5.2 25
2003-10-05 Viking W 1-0 1607 1668 36.8% 25.6% 37.6% +5.9 31
2003-10-05 @ Lillestrom L 0-1 1668 1607 37.6% 25.6% 36.8% -5.9 31
2003-10-06 Tromso W 5-1 1555 1542 47.0% 25.0% 28.1% +13.9 26
2003-10-06 @ Lyn Oslo L 1-5 1542 1555 28.1% 25.0% 47.0% -13.9 26
2003-10-18 Molde D 1-1 1514 1606 32.6% 25.5% 42.0% +0.3 25
2003-10-18 @ Aalesund D 1-1 1606 1514 42.0% 25.5% 32.6% -0.3 28
2003-10-19 Bodo Glimt L 1-2 1662 1628 49.8% 24.5% 25.7% -6.9 31
2003-10-19 @ Viking W 2-1 1628 1662 25.7% 24.5% 49.8% +6.9 41
2003-10-19 Bryne W 3-0 1565 1529 50.1% 24.5% 25.4% +11.8 31
2003-10-19 @ Brann L 0-3 1529 1565 25.4% 24.5% 50.1% -11.8 22
2003-10-19 Lillestrom W 2-1 1576 1613 40.1% 25.6% 34.3% +5.2 35
2003-10-19 @ Sogndal L 1-2 1613 1576 34.3% 25.6% 40.1% -5.2 31
2003-10-19 Lyn Oslo D 1-1 1651 1569 55.9% 23.1% 21.0% -1.2 38
2003-10-19 @ Odd Grenland D 1-1 1569 1651 21.0% 23.1% 55.9% +1.2 27
2003-10-19 Stabaek L 1-6 1819 1670 63.5% 20.6% 16.0% -32.7 58
2003-10-19 @ Rosenborg W 6-1 1670 1819 16.0% 20.6% 63.5% +32.7 39
2003-10-20 Tromso W 3-0 1589 1528 53.2% 23.8% 23.0% +10.7 28
2003-10-20 @ Valerenga L 0-3 1528 1589 23.0% 23.8% 53.2% -10.7 26
2003-10-26 Aalesund W 3-1 1703 1515 67.5% 18.9% 13.6% +3.7 42
2003-10-26 @ Stabaek L 1-3 1515 1703 13.6% 18.9% 67.5% -3.7 25
2003-10-26 Brann L 0-1 1518 1577 37.0% 25.6% 37.4% -5.8 26
2003-10-26 @ Tromso W 1-0 1577 1518 37.4% 25.6% 37.0% +5.8 34
2003-10-26 Lyn Oslo L 0-1 1600 1570 49.3% 24.6% 26.1% -7.3 28
2003-10-26 @ Valerenga W 1-0 1570 1600 26.1% 24.6% 49.3% +7.3 30
2003-10-26 Odd Grenland W 3-0 1608 1649 39.5% 25.6% 34.9% +15.2 34
2003-10-26 @ Lillestrom L 0-3 1649 1608 34.9% 25.6% 39.5% -15.2 38
2003-10-26 Rosenborg L 2-4 1517 1787 15.7% 20.4% 64.0% -3.9 22
2003-10-26 @ Bryne W 4-2 1787 1517 64.0% 20.4% 15.7% +3.9 61
2003-10-26 Sogndal W 3-0 1635 1581 52.4% 24.0% 23.6% +11.0 44
2003-10-26 @ Bodo Glimt L 0-3 1581 1635 23.6% 24.0% 52.4% -11.0 35
2003-10-27 Viking L 1-2 1606 1655 38.4% 25.6% 36.0% -5.6 28
2003-10-27 @ Molde W 2-1 1655 1606 36.0% 25.6% 38.4% +5.6 34
2003-11-01 Bodo Glimt L 2-4 1634 1646 43.7% 25.4% 30.9% -9.7 38
2003-11-01 @ Odd Grenland W 4-2 1646 1634 30.9% 25.4% 43.7% +9.6 47
2003-11-01 Bryne W 2-0 1511 1513 45.0% 25.2% 29.8% +9.3 28
2003-11-01 @ Aalesund L 0-2 1513 1511 29.8% 25.2% 45.0% -9.3 22
2003-11-01 Lillestrom L 0-3 1577 1623 38.8% 25.6% 35.5% -16.5 30
2003-11-01 @ Lyn Oslo W 3-0 1623 1577 35.5% 25.6% 38.8% +16.5 37
2003-11-01 Molde L 2-3 1570 1600 41.2% 25.5% 33.3% -5.6 35
2003-11-01 @ Sogndal W 3-2 1600 1570 33.3% 25.5% 41.2% +5.6 31
2003-11-01 Stabaek W 3-1 1661 1707 38.9% 25.6% 35.5% +9.2 37
2003-11-01 @ Viking L 1-3 1707 1661 35.5% 25.6% 38.9% -9.2 42
2003-11-01 Tromso L 0-1 1790 1512 75.9% 14.8% 9.3% -10.2 61
2003-11-01 @ Rosenborg W 1-0 1512 1790 9.3% 14.8% 75.9% +10.2 29
2003-11-01 Valerenga W 3-1 1583 1592 44.0% 25.3% 30.7% +8.2 37
2003-11-01 @ Brann L 1-3 1592 1583 30.7% 25.3% 44.0% -8.2 28

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 2003-11-01 9.35% Tromso 1512 1 @ Rosenborg 1790 0
2 2003-10-19 15.96% Stabaek 1670 6 @ Rosenborg 1819 1
3 2003-10-05 16.08% Aalesund 1498 2 @ Bodo Glimt 1645 0
4 2003-06-22 16.67% Aalesund 1492 3 @ Molde 1631 2
5 2003-07-20 17.21% @ Tromso 1527 2 Rosenborg 1773 1
6 2003-08-31 17.50% Tromso 1517 2 @ Bodo Glimt 1644 1
7 2003-07-21 20.69% Brann 1527 2 @ Valerenga 1613 0
8 2003-08-31 22.65% Brann 1590 3 @ Odd Grenland 1653 1
9 2003-05-16 23.21% Lyn Oslo 1599 3 @ Stabaek 1657 1
10 2003-07-30 23.96% Molde 1623 2 @ Viking 1674 1
11 2003-07-27 24.07% Sogndal 1598 3 @ Stabaek 1647 2
12 2003-07-27 24.92% Aalesund 1495 1 @ Tromso 1536 0
13 2003-09-28 25.58% Lyn Oslo 1548 2 @ Sogndal 1582 1
14 2003-10-19 25.65% Bodo Glimt 1628 2 @ Viking 1662 1
15 2003-09-29 25.95% Odd Grenland 1644 1 @ Viking 1675 0
16 2003-10-26 26.07% Lyn Oslo 1570 1 @ Valerenga 1600 0
17 2003-06-22 26.99% Odd Grenland 1589 2 @ Lyn Oslo 1611 0
18 2003-08-24 27.06% @ Tromso 1504 2 Lillestrom 1640 0
19 2003-07-27 27.58% Lillestrom 1602 2 @ Bodo Glimt 1618 0
20 2003-06-29 27.84% Tromso 1520 1 @ Brann 1534 0
21 2003-07-27 28.29% Odd Grenland 1620 1 @ Molde 1630 0
22 2003-09-28 28.64% @ Aalesund 1491 2 Lillestrom 1614 1
23 2003-08-11 28.86% Bodo Glimt 1611 2 @ Molde 1616 0
24 2003-09-14 28.87% @ Aalesund 1480 3 Sogndal 1601 0
25 2003-04-21 29.43% Sogndal 1575 1 @ Bryne 1576 0

Biggest Elo Changes

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

# Date Elo Δ Winning Team Losing Team Tie %
Team Score Elo Win % Team Score Elo Win %
1 2003-10-19 32.68 Stabaek 6 1670 15.96% @ Rosenborg 1 1819 63.47% 20.56%
2 2003-06-15 24.29 @ Sogndal 5 1575 39.98% Odd Grenland 0 1614 34.44% 25.59%
3 2003-09-21 22.53 Rosenborg 6 1788 50.06% @ Lillestrom 0 1636 25.47% 24.48%
4 2003-06-29 22.38 @ Odd Grenland 5 1603 43.61% Lillestrom 0 1615 31.03% 25.36%
5 2003-08-25 20.97 @ Brann 6 1569 37.97% Sogndal 1 1621 36.40% 25.63%
6 2003-10-04 20.21 @ Stabaek 6 1650 53.74% Brann 0 1585 22.58% 23.68%
7 2003-05-29 19.21 @ Bryne 4 1582 41.16% Lyn Oslo 0 1611 33.30% 25.53%
8 2003-09-14 18.86 @ Aalesund 3 1480 28.87% Sogndal 0 1601 46.03% 25.10%
9 2003-05-16 18.00 @ Brann 3 1534 31.20% Odd Grenland 0 1636 43.43% 25.37%
10 2003-04-22 17.91 Rosenborg 6 1687 45.06% @ Brann 1 1574 29.73% 25.21%
11 2003-05-16 17.60 @ Bryne 3 1568 32.35% Molde 0 1661 42.18% 25.47%
12 2003-08-03 17.58 @ Sogndal 4 1604 44.97% Bryne 0 1607 29.81% 25.22%
13 2003-08-24 17.18 Odd Grenland 3 1636 33.56% @ Valerenga 0 1605 40.90% 25.55%
14 2003-04-21 17.10 @ Molde 4 1657 46.08% Lillestrom 0 1651 28.82% 25.09%
15 2003-10-05 16.84 Aalesund 2 1498 16.08% @ Bodo Glimt 0 1645 63.29% 20.64%
16 2003-11-01 16.51 Lillestrom 3 1623 35.55% @ Lyn Oslo 0 1577 38.82% 25.62%
17 2003-08-16 15.69 @ Lillestrom 4 1625 49.37% Bryne 0 1594 26.03% 24.60%
18 2003-07-21 15.31 Brann 2 1527 20.69% @ Valerenga 0 1613 56.30% 23.01%
19 2003-10-26 15.23 @ Lillestrom 3 1608 39.53% Odd Grenland 0 1649 34.87% 25.60%
20 2003-08-16 14.58 @ Odd Grenland 5 1622 58.38% Tromso 0 1518 19.24% 22.38%
21 2003-06-01 14.29 @ Bryne 6 1601 53.28% Tromso 1 1540 22.92% 23.79%
22 2003-06-14 14.26 @ Rosenborg 5 1754 59.00% Molde 0 1645 18.82% 22.18%
23 2003-04-27 14.22 Rosenborg 3 1705 42.64% @ Lyn Oslo 0 1609 31.92% 25.44%
24 2003-06-16 14.07 @ Valerenga 3 1599 43.10% Bryne 0 1615 31.50% 25.40%
25 2003-08-03 14.03 @ Lillestrom 3 1615 43.22% Molde 0 1630 31.39% 25.39%