Home / Leagues / Norway / Tippeligaen / 1996
‹ ›

1996 Tippeligaen Season

182 games

Final

Champion

Rosenborg

59 points

Relegated

No relegation

Biggest Overachiever

Moss

11.06 points above expected

29 points · 17.94 expected points

Biggest Disappointment

Start

15.91 points below expected

18 points · 33.91 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 5 3 59 82 26 +56 55.41 +3.59
2 Lillestrom 26 13 7 6 46 54 33 +21 46.09 -0.09
3 Viking 26 12 7 7 43 50 32 +18 44.62 -1.62
4 Brann 26 11 9 6 42 64 50 +14 38.06 +3.94
5 Tromso 26 11 8 7 41 46 41 +5 41.44 -0.44
6 Stabaek 26 9 9 8 36 47 45 +2 35.96 +0.04
7 Kongsvinger 26 9 7 10 34 38 48 -10 31.27 +2.73
8 Molde 26 9 6 11 33 45 38 +7 37.18 -4.18
9 Skeid 26 10 2 14 32 33 59 -26 22.38 +9.62
10 Bodo Glimt 26 9 4 13 31 44 49 -5 39.80 -8.80
11 Stromsgodset 26 8 5 13 29 40 59 -19 25.00 +4.00
12 Moss 26 7 8 11 29 28 47 -19 17.94 +11.06
13 Valerenga 26 6 10 10 28 30 40 -10 34.86 -6.86
14 Start 26 5 3 18 18 37 71 -34 33.91 -15.91

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 1884 59 55.41 +3.59 75.1% 28 45 52 56 59 65 76
Lillestrom 1760 46 46.09 -0.09 52.2% 22 36 42 46 50 56 71
Viking 1718 43 44.62 -1.62 42.8% 21 34 40 45 49 55 71
Tromso 1704 41 41.44 -0.44 50.6% 18 31 37 41 46 52 66
Brann 1692 42 38.06 +3.94 75.7% 11 28 34 38 42 49 62
Bodo Glimt 1680 31 39.80 -8.80 9.3% 16 30 36 40 44 50 63
Molde 1637 33 37.18 -4.18 28.6% 16 27 33 37 42 48 63
Stabaek 1628 36 35.96 +0.04 53.9% 13 26 32 36 40 46 61
Valerenga 1615 28 34.86 -6.86 16.0% 12 24 30 35 39 46 59
Kongsvinger 1600 34 31.27 +2.73 70.0% 10 21 27 31 35 42 56
Start 1532 18 33.91 -15.91 0.5% 13 24 30 34 38 44 55
Stromsgodset 1512 29 25.00 +4.00 78.0% 7 16 21 25 29 35 47
Skeid 1464 32 22.38 +9.62 95.7% 2 13 18 22 26 32 47
Moss 1440 29 17.94 +11.06 98.0% 0 9 14 18 22 27 38

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 ROS SKE STA STA STR TRO VAL VIK
Bodo Glimt —
0-0-2
2.80
1-0-1
3.47
1-0-1
2.42
1-0-1
2.96
2-0-0
4.52
0-0-2
1.48
1-0-1
4.27
0-0-2
2.94
0-2-0
3.15
1-1-0
3.89
0-0-2
2.67
1-1-0
3.04
1-0-1
2.16
Brann
2-0-0
2.70
 —
1-1-0
3.31
0-2-0
2.15
1-1-0
2.82
0-1-1
4.29
0-1-1
1.42
1-0-1
3.79
1-0-1
3.12
2-0-0
2.88
2-0-0
3.73
0-1-1
2.68
1-1-0
2.83
0-1-1
2.33
Kongsvinger
1-0-1
2.03
0-1-1
2.18
 —
0-1-1
1.77
1-0-1
2.28
1-1-0
3.87
1-0-1
1.12
0-1-1
3.66
1-0-1
2.36
1-0-1
2.55
1-1-0
3.31
0-1-1
2.04
1-1-0
2.38
1-0-1
1.67
Lillestrom
1-0-1
3.09
0-2-0
3.35
1-1-0
3.77
 —
1-1-0
3.41
1-0-1
4.75
1-0-1
1.87
2-0-0
4.52
2-0-0
3.54
2-0-0
3.84
1-1-0
4.22
0-1-1
3.15
1-0-1
3.54
0-1-1
3.02
Molde
1-0-1
2.54
0-1-1
2.66
1-0-1
3.21
0-1-1
2.09
 —
1-1-0
4.28
0-0-2
1.61
1-0-1
3.89
0-2-0
2.77
1-0-1
2.84
1-0-1
3.73
1-0-1
2.40
1-1-0
3.05
1-0-1
2.19
Moss
0-0-2
1.12
1-1-0
1.31
0-1-1
1.67
1-0-1
0.94
0-1-1
1.32
 —
0-2-0
0.60
1-0-1
2.31
0-1-1
1.35
1-0-1
1.61
2-0-0
2.13
0-1-1
1.07
0-1-1
1.42
1-0-1
0.97
Rosenborg
2-0-0
4.09
1-1-0
4.16
1-0-1
4.51
1-0-1
3.66
2-0-0
3.94
0-2-0
5.18
 —
2-0-0
4.91
1-1-0
4.15
1-0-1
4.41
2-0-0
4.81
2-0-0
3.85
2-0-0
4.16
1-1-0
3.70
Skeid
1-0-1
1.32
1-0-1
1.75
1-1-0
1.88
0-0-2
1.12
1-0-1
1.66
1-0-1
3.18
0-0-2
0.81
 —
1-1-0
1.78
1-0-1
2.03
0-0-2
2.46
2-0-0
1.31
1-0-1
1.86
0-0-2
1.27
Stabaek
2-0-0
2.56
1-0-1
2.37
1-0-1
3.13
0-0-2
1.98
0-2-0
2.71
1-1-0
4.24
0-1-1
1.42
0-1-1
3.76
 —
1-1-0
2.83
1-1-0
3.54
0-0-2
2.41
1-1-0
2.83
1-1-0
2.17
Start
0-2-0
2.34
0-0-2
2.63
1-0-1
2.94
0-0-2
1.69
1-0-1
2.67
1-0-1
3.93
1-0-1
1.22
1-0-1
3.49
0-1-1
2.68
 —
0-0-2
3.43
0-0-2
2.26
0-0-2
2.77
0-0-2
1.83
Stromsgodset
0-1-1
1.68
0-0-2
1.81
0-1-1
2.18
0-1-1
1.37
1-0-1
1.82
0-0-2
3.37
0-0-2
0.89
2-0-0
3.02
0-1-1
1.97
2-0-0
2.07
 —
2-0-0
1.52
0-1-1
1.95
1-0-1
1.28
Tromso
2-0-0
2.81
1-1-0
2.81
1-1-0
3.47
1-1-0
2.34
1-0-1
3.09
1-1-0
4.57
0-0-2
1.69
0-0-2
4.28
2-0-0
3.08
2-0-0
3.23
0-0-2
4.05
 —
0-2-0
3.40
0-2-0
2.60
Valerenga
0-1-1
2.44
0-1-1
2.67
0-1-1
3.11
1-0-1
1.97
0-1-1
2.45
1-1-0
4.15
0-0-2
1.43
1-0-1
3.65
0-1-1
2.66
2-0-0
2.70
1-1-0
3.56
0-2-0
2.11
 —
0-1-1
2.16
Viking
1-0-1
3.33
1-1-0
3.16
1-0-1
3.87
1-1-0
2.47
1-0-1
3.30
1-0-1
4.70
0-1-1
1.83
2-0-0
4.33
0-1-1
3.33
2-0-0
3.68
1-0-1
4.33
0-2-0
2.88
1-1-0
3.33
 —

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 0.74 +6.0
Allowed 0.64 -6.6
Differential 0.89 +4.1

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
06.04%6.32%4.12%4.67%2.20%2.47%25.82%
16.32%6.04%5.77%3.30%1.65%1.92%25.00%
24.12%5.77%8.24%1.10%1.92%1.37%22.53%
34.67%3.30%1.10%3.85%0.27%0.27%13.46%
42.20%1.65%1.92%0.27%0.55%0.27%6.87%
5+2.47%1.92%1.37%0.27%0.27%—6.32%
Total25.82%25.00%22.53%13.46%6.87%6.32%100%

Summary Statistics

Scored Allowed Difference
Mean 1.75 1.75 +0.00
SD 1.64 1.64 2.51
CV 0.94 0.94 —
Max 10 10 +10
Min 0 0 -10

Games Played: 182

↓ Scored | Allowed →012345+Total
0—7.69%7.69%3.85%7.69%—26.92%
13.85%7.69%7.69%15.38%——34.62%
2—7.69%3.85%———11.54%
33.85%3.85%—3.85%——11.54%
4—3.85%3.85%———7.69%
5+3.85%——3.85%——7.69%
Total11.54%30.77%23.08%26.92%7.69%—100%

Summary Statistics

Scored Allowed Difference
Mean 1.69 1.88 -0.19
SD 1.78 1.18 2.45
CV 1.05 0.62 —
Max 7 4 +7
Min 0 0 -4

Games Played: 26

↓ Scored | Allowed →012345+Total
0———3.85%—3.85%7.69%
1—7.69%7.69%—7.69%—23.08%
219.23%—11.54%———30.77%
3—3.85%—15.38%——19.23%
47.69%—————7.69%
5+—7.69%3.85%———11.54%
Total26.92%19.23%23.08%19.23%7.69%3.85%100%

Summary Statistics

Scored Allowed Difference
Mean 2.46 1.92 +0.54
SD 1.77 2.10 3.19
CV 0.72 1.09 —
Max 7 10 +6
Min 0 0 -10

Games Played: 26

↓ Scored | Allowed →012345+Total
011.54%3.85%11.54%3.85%—3.85%34.62%
17.69%3.85%7.69%——3.85%23.08%
2—7.69%11.54%———19.23%
33.85%3.85%———3.85%11.54%
4——3.85%3.85%——7.69%
5+————3.85%—3.85%
Total23.08%19.23%34.62%7.69%3.85%11.54%100%

Summary Statistics

Scored Allowed Difference
Mean 1.46 1.85 -0.38
SD 1.48 1.57 1.88
CV 1.01 0.85 —
Max 5 5 +3
Min 0 0 -5

Games Played: 26

↓ Scored | Allowed →012345+Total
07.69%7.69%——3.85%—19.23%
1—3.85%7.69%———11.54%
211.54%3.85%7.69%——3.85%26.92%
315.38%11.54%—7.69%——34.62%
4———————
5+3.85%3.85%————7.69%
Total38.46%30.77%15.38%7.69%3.85%3.85%100%

Summary Statistics

Scored Allowed Difference
Mean 2.08 1.27 +0.81
SD 1.41 1.61 2.28
CV 0.68 1.27 —
Max 5 7 +5
Min 0 0 -5

Games Played: 26

↓ Scored | Allowed →012345+Total
011.54%11.54%3.85%11.54%3.85%—42.31%
1—3.85%3.85%3.85%——11.54%
27.69%———3.85%—11.54%
37.69%7.69%—7.69%——23.08%
4———————
5+3.85%7.69%————11.54%
Total30.77%30.77%7.69%23.08%7.69%—100%

Summary Statistics

Scored Allowed Difference
Mean 1.73 1.46 +0.27
SD 2.05 1.36 2.74
CV 1.18 0.93 —
Max 8 4 +8
Min 0 0 -4

Games Played: 26

↓ Scored | Allowed →012345+Total
07.69%11.54%3.85%——7.69%30.77%
119.23%7.69%7.69%—7.69%—42.31%
2—3.85%15.38%—3.85%—23.08%
3———————
4———————
5+——3.85%———3.85%
Total26.92%23.08%30.77%—11.54%7.69%100%

Summary Statistics

Scored Allowed Difference
Mean 1.08 1.81 -0.73
SD 1.09 1.90 2.20
CV 1.01 1.05 —
Max 5 8 +3
Min 0 0 -8

Games Played: 26

↓ Scored | Allowed →012345+Total
07.69%——3.85%——11.54%
13.85%3.85%3.85%———11.54%
211.54%11.54%————23.08%
37.69%——3.85%3.85%—15.38%
47.69%—3.85%—3.85%—15.38%
5+11.54%7.69%3.85%———23.08%
Total50.00%23.08%11.54%7.69%7.69%—100%

Summary Statistics

Scored Allowed Difference
Mean 3.15 1.00 +2.15
SD 2.36 1.30 2.74
CV 0.75 1.30 —
Max 10 4 +10
Min 0 0 -3

Games Played: 26

↓ Scored | Allowed →012345+Total
03.85%7.69%3.85%3.85%—7.69%26.92%
17.69%3.85%3.85%7.69%—11.54%34.62%
2—19.23%—7.69%——26.92%
33.85%3.85%————7.69%
4——3.85%———3.85%
5+———————
Total15.38%34.62%11.54%19.23%—19.23%100%

Summary Statistics

Scored Allowed Difference
Mean 1.27 2.27 -1.00
SD 1.08 2.03 2.56
CV 0.85 0.89 —
Max 4 7 +3
Min 0 0 -7

Games Played: 26

↓ Scored | Allowed →012345+Total
07.69%3.85%3.85%3.85%3.85%—23.08%
17.69%11.54%3.85%3.85%——26.92%
2—3.85%7.69%—7.69%—19.23%
3——7.69%3.85%——11.54%
43.85%3.85%3.85%—3.85%—15.38%
5+3.85%—————3.85%
Total23.08%23.08%26.92%11.54%15.38%—100%

Summary Statistics

Scored Allowed Difference
Mean 1.81 1.73 +0.08
SD 1.52 1.37 2.02
CV 0.84 0.79 —
Max 5 4 +5
Min 0 0 -4

Games Played: 26

↓ Scored | Allowed →012345+Total
0—7.69%7.69%11.54%3.85%—30.77%
1—3.85%11.54%—7.69%7.69%30.77%
23.85%3.85%3.85%—3.85%3.85%19.23%
3——3.85%3.85%——7.69%
4——3.85%——3.85%7.69%
5+3.85%—————3.85%
Total7.69%15.38%30.77%15.38%15.38%15.38%100%

Summary Statistics

Scored Allowed Difference
Mean 1.42 2.73 -1.31
SD 1.42 1.76 2.35
CV 1.00 0.64 —
Max 5 7 +5
Min 0 0 -6

Games Played: 26

↓ Scored | Allowed →012345+Total
0—7.69%3.85%7.69%3.85%3.85%26.92%
115.38%7.69%—11.54%——34.62%
2——7.69%—3.85%7.69%19.23%
3——3.85%3.85%——7.69%
4—3.85%————3.85%
5+——7.69%———7.69%
Total15.38%19.23%23.08%23.08%7.69%11.54%100%

Summary Statistics

Scored Allowed Difference
Mean 1.54 2.27 -0.73
SD 1.58 1.64 2.29
CV 1.03 0.72 —
Max 6 6 +4
Min 0 0 -5

Games Played: 26

↓ Scored | Allowed →012345+Total
03.85%7.69%—3.85%——15.38%
111.54%3.85%3.85%——3.85%23.08%
23.85%7.69%19.23%—3.85%3.85%38.46%
33.85%7.69%—3.85%——15.38%
4—7.69%————7.69%
5+———————
Total23.08%34.62%23.08%7.69%3.85%7.69%100%

Summary Statistics

Scored Allowed Difference
Mean 1.77 1.58 +0.19
SD 1.14 1.45 1.83
CV 0.65 0.92 —
Max 4 5 +3
Min 0 0 -4

Games Played: 26

↓ Scored | Allowed →012345+Total
019.23%3.85%11.54%3.85%3.85%3.85%46.15%
13.85%3.85%7.69%———15.38%
2—3.85%15.38%3.85%——23.08%
37.69%—————7.69%
4—3.85%3.85%———7.69%
5+———————
Total30.77%15.38%38.46%7.69%3.85%3.85%100%

Summary Statistics

Scored Allowed Difference
Mean 1.15 1.54 -0.38
SD 1.32 1.45 2.06
CV 1.14 0.94 —
Max 4 6 +3
Min 0 0 -6

Games Played: 26

↓ Scored | Allowed →012345+Total
03.85%7.69%—3.85%—3.85%19.23%
17.69%11.54%3.85%3.85%——26.92%
2—7.69%11.54%3.85%——23.08%
311.54%3.85%————15.38%
411.54%—————11.54%
5+3.85%—————3.85%
Total38.46%30.77%15.38%11.54%—3.85%100%

Summary Statistics

Scored Allowed Difference
Mean 1.92 1.23 +0.69
SD 1.65 1.56 2.72
CV 0.86 1.27 —
Max 7 7 +7
Min 0 0 -7

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 Moss 29 17.94 +11.06
2 Skeid 32 22.38 +9.62
3 Stromsgodset 29 25.00 +4.00
4 Brann 42 38.06 +3.94
5 Rosenborg 59 55.41 +3.59

Biggest Disappointments

# Team Actual Sim vsSim
1 Start 18 33.91 -15.91
2 Bodo Glimt 31 39.80 -8.80
3 Valerenga 28 34.86 -6.86
4 Molde 33 37.18 -4.18
5 Viking 43 44.62 -1.62

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 Skeid 3 Jul 21 – Aug 18 1 in 176
2 Brann 5 May 19 – Jun 17 1 in 88
3 Bodo Glimt 4 Aug 3 – Aug 25 1 in 84
4 Rosenborg 7 May 27 – Jul 14 1 in 30
5 Molde 3 May 5 – May 12 1 in 22

Most Unlikely Losing Streaks

# Team Games Dates Probability
1 Bodo Glimt 5 May 5 – May 19 1 in 591
2 Molde 5 Aug 11 – Sep 8 1 in 271
3 Start 5 May 1 – May 16 1 in 169
4 Skeid 8 Aug 25 – Oct 20 1 in 135
5 Tromso 2 May 5 – May 9 1 in 45

Most Unlikely Unbeaten Streaks

# Team Games Dates Probability
1 Moss 5 May 1 – May 16 1 in 555
2 Skeid 5 May 1 – May 16 1 in 113
3 Molde 7 May 5 – Jun 5 1 in 26
4 Valerenga 5 Jun 9 – Jul 21 1 in 22
5 Tromso 7 Aug 24 – Oct 20 1 in 21

Most Unlikely Winless Streaks

# Team Games Dates Probability
1 Bodo Glimt 9 May 1 – Jun 9 1 in 342
2 Lillestrom 6 Jul 14 – Aug 28 1 in 71
3 Rosenborg 4 May 9 – May 19 1 in 47
4 Molde 6 Aug 11 – Sep 15 1 in 27
5 Start 9 Jul 7 – Sep 8 1 in 21

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
Rosenborg74.62%15.76%5.28%2.53%1.00%0.39%0.20%0.11%0.07%—0.04%———
Lillestrom10.86%28.05%20.71%13.94%9.57%6.45%4.35%2.81%1.72%0.92%0.42%0.17%0.02%0.01%
Viking7.26%22.65%20.09%15.18%11.78%8.11%5.73%4.17%2.40%1.39%0.87%0.29%0.07%0.01%
Brann1.19%5.01%8.53%10.90%11.70%12.69%12.27%11.35%9.67%7.94%5.39%2.42%0.77%0.17%
Tromso2.84%11.44%15.03%14.80%13.46%11.83%9.27%8.04%5.66%4.26%2.30%0.76%0.27%0.04%
Stabaek0.48%2.51%4.97%7.48%9.23%11.07%12.73%12.98%12.52%11.45%8.22%4.29%1.78%0.29%
Kongsvinger0.09%0.64%1.19%2.54%3.70%5.27%7.21%9.62%12.98%16.49%18.69%13.10%6.28%2.20%
Molde0.73%3.89%6.96%9.31%10.94%12.69%12.84%11.46%11.23%8.94%6.63%3.06%1.19%0.13%
Skeid—0.01%0.01%0.07%0.15%0.33%0.70%1.22%2.41%5.22%10.06%20.70%34.38%24.74%
Bodo Glimt1.55%6.92%10.73%12.93%14.06%12.68%11.86%10.20%8.10%5.65%3.51%1.45%0.32%0.04%
Stromsgodset—0.01%0.07%0.19%0.57%1.06%1.71%2.83%4.99%8.63%15.44%28.49%24.14%11.87%
Moss—————0.03%0.07%0.11%0.59%1.53%3.77%10.67%24.43%58.80%
Valerenga0.24%1.93%3.59%5.85%7.60%9.31%11.21%13.02%13.08%13.67%11.04%6.47%2.32%0.67%
Start0.14%1.18%2.84%4.28%6.24%8.09%9.85%12.08%14.58%13.91%13.62%8.13%4.03%1.03%

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
+15.93%
Clear Edge
45.60%24.73%29.67%
Elo Value
Home Edge
164 Elo
0.006 goals per Elo point
055.84500
Scoring Tilt
Expected
+0.62 goals
Home-Tilted
-2+0.34+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
1.7
One-Team Race
124610
Champion Preseason Odds
75%
Rosenborg, 1st of 14
LongshotFavorite
Title Margin
Expected
0.50/gm
Comfortable
00.260.8/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 4.96 * Some Luck: 4.96 to 7.44 * Lucky: 7.44 to 9.92 * Wild Swing: 9.92 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 1.43 * Close: 1.43 to 2.14 * Off: 2.14 to 2.85 * Way Off: 2.85 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
6.89 points
Some Luck
06.2015
Average Finish Error
Expected
2.14
Off
01.784
Biggest Overachiever
Expected 96.43%
97.98%
Moss
50100
Biggest Underachiever
Expected 3.57%
0.45%
Start
050
Season Outliers
Expected
3 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
1.30
Moderate Separation
01.003
Interquartile Edge
71%
Clear Edge
50%60%70%80%100%
Best vs. Worst
Baseline
93%
Dominant
50%92%100%
Close Games
Expected
52%
Very Frequent
0%45%100%
Blowouts
Expected
29%
Very Frequent
0%32%100%

Predictability

How these are measured

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

Brier Score
How close the pregame probabilities landed to the actual result, averaged over the season. Confident, correct calls are rewarded most; confident misses are punished most. Lower is better; since draws are possible, a score under 0.66 beats guessing the base rate.
Highly Predictable: under 0.56 * Predictable: 0.56 to 0.62 * Hard to Predict: 0.62 to 0.66 * Coin-Flip: 0.66 and up.
Matchup Imbalance
How lopsided the matchups were on paper, averaging the gap between the two win probabilities over their sum. 0 means every match was a toss-up; 1 means every match was a heavy favorite against a big underdog.
Very Even: under 0.1 * Slight Separation: 0.1 to 0.18 * Notable Separation: 0.18 to 0.28 * Lopsided: 0.28 and up.
Strangeness
How wild the final table was versus what the model expected. A value of 1 means teams landed about one standard deviation from their projections on average. Above 1 is a stranger season; below 1 hugged the projections.
Very Predictable: under 0.8 * As Expected: 0.8 to 1.1 * Wilder Than Modeled: 1.1 to 1.4 * Chaotic: 1.4 and up.
Repeatability
How closely the final table order matched the preseason Elo order, by Spearman rank correlation. Higher means last season's ratings strongly predicted this season's finish. Shows N/A for an inaugural season.
Weak Carryover: under 0.3 * Some Carryover: 0.3 to 0.6 * Strong Carryover: 0.6 to 0.85 * Near-Lock: 0.85 and up.
Upset Rate
Share of matches the underdog won. The gold line is how often the model expected underdogs to win; a dot to the right means upsets ran hotter than expected.
Chalky: under 25% * As Expected: 25% to 33% * Upset-Prone: 33% to 42% * Very Upset-Prone: 42% and up.
Clear Favorite Upset Rate
Share of matches the underdog won, counting only games with a clear favorite (at least 60% likely to win once a draw is set aside). The gold line is how often the model expected these favorites to slip.
Solid Favorites: under 15% * As Expected: 15% to 25% * Shaky Favorites: 25% to 35% * Very Shaky: 35% and up.
Brier Score
Expected
0.63
Hard to Predict
00.582
Matchup Imbalance
0.39
Lopsided
00.10.180.280.5
Strangeness
Expected
1.32
Wilder Than Modeled
01.002
Repeatability
0.46
Some Carryover
00.30.60.851
Upset Rate
Expected
28%
As Expected
0%23%50%
Clear Favorite Upset Rate
Expected
28%
Shaky Favorites
0%20%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 0.24 * Well Above Noise: 0.24 and up.
Probability calibration
0.16
Well Calibrated
0.010.050.10.51
Calibration slope
Ideal
0.53
Overconfident
0.3951541.001.60485
Calibration error (ECE)
Noise ceiling
0.088
Well Within Noise
00.1200.3

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 Direct relegation
Rosenborg 100% —
Lillestrom 99.80% 0.20%
Viking 99.63% 0.37%
Tromso 98.93% 1.07%
Bodo Glimt 98.19% 1.81%
Brann 96.64% 3.36%
Molde 95.62% 4.38%
Stabaek 93.64% 6.36%
Valerenga 90.54% 9.46%
Start 86.81% 13.19%
Kongsvinger 78.42% 21.58%
Stromsgodset 35.50% 64.50%
Skeid 20.18% 79.82%
Moss 6.10% 93.90%

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
1996-04-13 Stromsgodset L 2-3 1455 1521 35.5% 26.2% 38.2% -5.2 0
1996-04-13 @ Skeid W 3-2 1521 1455 38.2% 26.2% 35.5% +5.2 3
1996-04-14 Valerenga W 2-0 1715 1657 52.4% 24.4% 23.1% +7.7 3
1996-04-14 @ Lillestrom L 0-2 1657 1715 23.1% 24.4% 52.4% -7.7 0
1996-04-14 Bodo Glimt L 0-1 1422 1728 13.3% 19.0% 67.7% -2.3 0
1996-04-14 @ Moss W 1-0 1728 1422 67.7% 19.0% 13.3% +2.3 3
1996-04-14 Molde W 2-0 1795 1629 64.8% 20.3% 14.9% +4.9 3
1996-04-14 @ Rosenborg L 0-2 1629 1795 14.9% 20.3% 64.8% -4.9 0
1996-04-14 Tromso D 2-2 1700 1700 44.8% 25.8% 29.4% -0.4 1
1996-04-14 @ Viking D 2-2 1700 1700 29.4% 25.8% 44.8% +0.4 1
1996-04-21 Start D 3-3 1731 1676 52.0% 24.6% 23.5% -0.6 4
1996-04-21 @ Bodo Glimt D 3-3 1676 1731 23.5% 24.6% 52.0% +0.6 1
1996-04-21 Skeid L 1-2 1618 1450 65.0% 20.2% 14.8% -8.9 0
1996-04-21 @ Kongsvinger W 2-1 1450 1618 14.8% 20.2% 65.0% +8.9 3
1996-04-21 Moss W 8-0 1624 1420 68.7% 18.5% 12.8% +15.1 3
1996-04-21 @ Molde L 0-8 1420 1624 12.8% 18.5% 68.7% -15.1 0
1996-04-21 Viking D 1-1 1622 1700 33.8% 26.2% 40.1% +0.2 1
1996-04-21 @ Stabaek D 1-1 1700 1622 40.1% 26.2% 33.8% -0.2 2
1996-04-21 Lillestrom L 1-3 1526 1723 20.7% 23.6% 55.8% -6.0 3
1996-04-21 @ Stromsgodset W 3-1 1723 1526 55.8% 23.6% 20.7% +6.0 6
1996-04-21 Brann L 0-2 1649 1627 47.8% 25.4% 26.8% -13.8 0
1996-04-21 @ Valerenga W 2-0 1627 1649 26.8% 25.4% 47.8% +13.8 3
1996-04-27 Molde W 4-2 1676 1639 49.7% 25.0% 25.3% +6.5 4
1996-04-27 @ Start L 2-4 1639 1676 25.3% 25.0% 49.7% -6.5 3
1996-04-28 Brann D 3-3 1729 1641 56.1% 23.5% 20.4% -0.8 7
1996-04-28 @ Lillestrom D 3-3 1641 1729 20.4% 23.5% 56.1% +0.8 4
1996-04-28 Tromso L 0-1 1405 1700 13.9% 19.5% 66.6% -2.4 0
1996-04-28 @ Moss W 1-0 1700 1405 66.6% 19.5% 13.9% +2.4 4
1996-04-28 Stabaek W 4-2 1800 1622 66.1% 19.7% 14.2% +3.6 6
1996-04-28 @ Rosenborg L 2-4 1622 1800 14.2% 19.7% 66.1% -3.6 1
1996-04-28 Bodo Glimt L 1-3 1459 1730 15.3% 20.6% 64.1% -4.4 3
1996-04-28 @ Skeid W 3-1 1730 1459 64.1% 20.6% 15.3% +4.4 7
1996-04-28 Kongsvinger D 1-1 1520 1609 32.3% 26.1% 41.6% +0.3 4
1996-04-28 @ Stromsgodset D 1-1 1609 1520 41.6% 26.1% 32.3% -0.3 1
1996-04-28 Valerenga W 2-1 1700 1635 53.1% 24.3% 22.6% +3.8 5
1996-04-28 @ Viking L 1-2 1635 1700 22.6% 24.3% 53.1% -3.8 0
1996-05-01 Stromsgodset D 1-1 1735 1520 69.7% 18.0% 12.2% -2.0 8
1996-05-01 @ Bodo Glimt D 1-1 1520 1735 12.2% 18.0% 69.7% +2.0 5
1996-05-01 Viking D 1-1 1641 1703 36.0% 26.2% 37.8% +0.1 5
1996-05-01 @ Brann D 1-1 1703 1641 37.8% 26.2% 36.0% -0.0 6
1996-05-01 Lillestrom L 1-5 1609 1728 28.5% 25.7% 45.8% -14.6 1
1996-05-01 @ Kongsvinger W 5-1 1728 1609 45.8% 25.7% 28.5% +14.6 10
1996-05-01 Skeid L 0-1 1633 1455 66.1% 19.7% 14.2% -9.5 3
1996-05-01 @ Molde W 1-0 1455 1633 14.2% 19.7% 66.1% +9.5 6
1996-05-01 Moss D 2-2 1618 1403 69.8% 18.0% 12.2% -1.5 2
1996-05-01 @ Stabaek D 2-2 1403 1618 12.2% 18.0% 69.8% +1.5 1
1996-05-01 Start W 3-0 1702 1683 47.4% 25.4% 27.2% +12.9 7
1996-05-01 @ Tromso L 0-3 1683 1702 27.2% 25.4% 47.4% -12.9 4
1996-05-01 Rosenborg L 0-4 1632 1804 22.9% 24.4% 52.7% -14.5 0
1996-05-01 @ Valerenga W 4-0 1804 1632 52.7% 24.4% 22.9% +14.5 9
1996-05-05 Bodo Glimt W 2-1 1594 1733 26.4% 25.3% 48.3% +7.0 4
1996-05-05 @ Kongsvinger L 1-2 1733 1594 48.3% 25.3% 26.4% -7.0 8
1996-05-05 Viking L 0-4 1743 1703 50.0% 25.0% 25.0% -27.2 10
1996-05-05 @ Lillestrom W 4-0 1703 1743 25.0% 25.0% 50.0% +27.2 9
1996-05-05 Valerenga D 2-2 1404 1617 19.4% 23.0% 57.6% +1.0 2
1996-05-05 @ Moss D 2-2 1617 1404 57.6% 23.0% 19.4% -1.0 1
1996-05-05 Brann W 10-0 1818 1641 66.0% 19.8% 14.2% +21.2 12
1996-05-05 @ Rosenborg L 0-10 1641 1818 14.2% 19.8% 66.0% -21.2 5
1996-05-05 Tromso W 1-0 1464 1715 16.6% 21.4% 62.0% +9.0 9
1996-05-05 @ Skeid L 0-1 1715 1464 62.0% 21.4% 16.6% -9.0 7
1996-05-05 Stabaek L 1-2 1670 1617 51.8% 24.6% 23.6% -7.4 4
1996-05-05 @ Start W 2-1 1617 1670 23.6% 24.6% 51.8% +7.4 5
1996-05-05 Molde L 1-3 1522 1623 30.8% 25.9% 43.3% -8.5 5
1996-05-05 @ Stromsgodset W 3-1 1623 1522 43.3% 25.9% 30.8% +8.5 6
1996-05-09 Lillestrom L 1-3 1726 1716 46.1% 25.6% 28.3% -11.6 8
1996-05-09 @ Bodo Glimt W 3-1 1716 1726 28.3% 25.6% 46.1% +11.6 13
1996-05-09 Moss D 1-1 1620 1405 69.8% 18.0% 12.2% -2.0 6
1996-05-09 @ Brann D 1-1 1405 1620 12.2% 18.0% 69.8% +2.0 3
1996-05-09 Kongsvinger W 2-0 1632 1601 48.9% 25.2% 26.0% +8.5 9
1996-05-09 @ Molde L 0-2 1601 1632 26.0% 25.2% 48.9% -8.5 4
1996-05-09 Skeid D 1-1 1624 1473 63.2% 21.0% 15.8% -1.6 6
1996-05-09 @ Stabaek D 1-1 1473 1624 15.8% 21.0% 63.2% +1.7 10
1996-05-09 Stromsgodset L 0-1 1706 1514 67.6% 19.1% 13.4% -9.7 7
1996-05-09 @ Tromso W 1-0 1514 1706 13.4% 19.1% 67.6% +9.7 8
1996-05-09 Start W 1-0 1616 1663 38.2% 26.2% 35.5% +5.8 4
1996-05-09 @ Valerenga L 0-1 1663 1616 35.5% 26.2% 38.2% -5.8 4
1996-05-09 Rosenborg D 1-1 1730 1840 29.8% 25.8% 44.4% +0.5 10
1996-05-09 @ Viking D 1-1 1840 1730 44.4% 25.8% 29.8% -0.5 13
1996-05-12 Molde L 1-3 1714 1640 54.3% 24.0% 21.7% -13.3 8
1996-05-12 @ Bodo Glimt W 3-1 1640 1714 21.7% 24.0% 54.3% +13.3 12
1996-05-12 Tromso D 2-2 1593 1697 30.4% 25.9% 43.7% +0.3 5
1996-05-12 @ Kongsvinger D 2-2 1697 1593 43.7% 25.9% 30.4% -0.3 8
1996-05-12 Rosenborg W 3-0 1727 1839 29.5% 25.8% 44.8% +19.0 16
1996-05-12 @ Lillestrom L 0-3 1839 1727 44.8% 25.8% 29.5% -19.0 13
1996-05-12 Viking W 1-0 1407 1731 12.3% 18.1% 69.5% +9.9 6
1996-05-12 @ Moss L 0-1 1731 1407 69.5% 18.1% 12.3% -9.9 10
1996-05-12 Brann L 0-2 1657 1618 49.9% 25.0% 25.1% -14.3 4
1996-05-12 @ Start W 2-0 1618 1657 25.1% 25.0% 49.9% +14.3 9
1996-05-12 Stabaek D 2-2 1523 1622 31.0% 26.0% 43.0% +0.3 9
1996-05-12 @ Stromsgodset D 2-2 1622 1523 43.0% 26.0% 31.0% -0.3 7
1996-05-13 Valerenga W 2-1 1475 1622 25.4% 25.1% 49.5% +7.1 13
1996-05-13 @ Skeid L 1-2 1622 1475 49.5% 25.1% 25.4% -7.1 4
1996-05-16 Skeid L 1-2 1632 1482 63.2% 21.0% 15.9% -8.7 9
1996-05-16 @ Brann W 2-1 1482 1632 15.9% 21.0% 63.2% +8.7 16
1996-05-16 Lillestrom D 0-0 1654 1746 31.9% 26.0% 42.1% +0.4 13
1996-05-16 @ Molde D 0-0 1746 1654 42.1% 26.0% 31.9% -0.4 17
1996-05-16 Moss D 0-0 1820 1417 84.7% 9.9% 5.4% -3.0 14
1996-05-16 @ Rosenborg D 0-0 1417 1820 5.4% 9.9% 84.7% +3.0 7
1996-05-16 Kongsvinger W 5-0 1622 1593 48.6% 25.2% 26.1% +20.1 10
1996-05-16 @ Stabaek L 0-5 1593 1622 26.1% 25.2% 48.6% -20.1 5
1996-05-16 Bodo Glimt W 2-1 1696 1701 44.1% 25.9% 30.0% +4.8 11
1996-05-16 @ Tromso L 1-2 1701 1696 30.0% 25.9% 44.1% -4.8 8
1996-05-16 Stromsgodset W 3-0 1615 1524 56.4% 23.4% 20.2% +9.8 7
1996-05-16 @ Valerenga L 0-3 1524 1615 20.2% 23.4% 56.4% -9.9 9
1996-05-16 Start W 4-0 1721 1642 54.9% 23.8% 21.3% +13.5 13
1996-05-16 @ Viking L 0-4 1642 1721 21.3% 23.8% 54.9% -13.5 4
1996-05-19 Stabaek L 0-1 1696 1642 51.8% 24.6% 23.6% -7.8 8
1996-05-19 @ Bodo Glimt W 1-0 1642 1696 23.6% 24.6% 51.8% +7.8 13
1996-05-19 Valerenga W 1-0 1573 1625 37.5% 26.2% 36.3% +5.9 8
1996-05-19 @ Kongsvinger L 0-1 1625 1573 36.3% 26.2% 37.5% -5.9 7
1996-05-19 Moss W 2-0 1746 1420 79.4% 12.9% 7.7% +2.3 20
1996-05-19 @ Lillestrom L 0-2 1420 1746 7.7% 12.9% 79.4% -2.2 7
1996-05-19 Tromso W 3-0 1654 1701 38.1% 26.2% 35.6% +16.0 16
1996-05-19 @ Molde L 0-3 1701 1654 35.6% 26.2% 38.1% -16.0 11
1996-05-19 Viking L 1-2 1491 1735 17.1% 21.8% 61.2% -2.9 16
1996-05-19 @ Skeid W 2-1 1735 1491 61.2% 21.8% 17.1% +2.9 16
1996-05-19 Rosenborg W 2-1 1629 1817 21.5% 23.9% 54.6% +7.7 7
1996-05-19 @ Start L 1-2 1817 1629 54.6% 23.9% 21.5% -7.7 14
1996-05-19 Brann L 0-2 1514 1624 29.7% 25.8% 44.5% -9.5 9
1996-05-19 @ Stromsgodset W 2-0 1624 1514 44.5% 25.8% 29.7% +9.6 12
1996-05-27 Kongsvinger W 2-0 1633 1579 51.9% 24.6% 23.5% +7.8 15
1996-05-27 @ Brann L 0-2 1579 1633 23.5% 24.6% 51.9% -7.8 8
1996-05-27 Start W 1-0 1418 1637 18.9% 22.8% 58.3% +8.6 10
1996-05-27 @ Moss L 0-1 1637 1418 58.3% 22.8% 18.9% -8.6 7
1996-05-27 Skeid W 6-1 1809 1488 79.1% 13.1% 7.8% +4.5 17
1996-05-27 @ Rosenborg L 1-6 1488 1809 7.8% 13.1% 79.1% -4.5 16
1996-05-27 Molde D 3-3 1650 1670 42.0% 26.1% 32.0% -0.2 14
1996-05-27 @ Stabaek D 3-3 1670 1650 32.0% 26.1% 42.0% +0.2 17
1996-05-27 Lillestrom W 1-0 1685 1748 35.8% 26.2% 37.9% +6.1 14
1996-05-27 @ Tromso L 0-1 1748 1685 37.9% 26.2% 35.8% -6.1 20
1996-05-27 Bodo Glimt D 1-1 1619 1688 35.0% 26.2% 38.8% +0.1 8
1996-05-27 @ Valerenga D 1-1 1688 1619 38.8% 26.2% 35.0% -0.1 9
1996-05-27 Stromsgodset L 0-1 1737 1504 71.5% 17.2% 11.3% -10.1 16
1996-05-27 @ Viking W 1-0 1504 1737 11.3% 17.2% 71.5% +10.1 12
1996-06-05 Brann L 1-3 1688 1641 50.9% 24.8% 24.3% -12.6 9
1996-06-05 @ Bodo Glimt W 3-1 1641 1688 24.3% 24.8% 50.9% +12.6 18
1996-06-05 Viking W 3-1 1571 1727 24.5% 24.8% 50.7% +12.5 11
1996-06-05 @ Kongsvinger L 1-3 1727 1571 50.7% 24.8% 24.5% -12.6 16
1996-06-05 Valerenga W 2-0 1670 1619 51.5% 24.6% 23.8% +7.9 20
1996-06-05 @ Molde L 0-2 1619 1670 23.8% 24.6% 51.5% -7.9 8
1996-06-05 Moss W 2-1 1483 1426 52.2% 24.5% 23.3% +3.9 19
1996-06-05 @ Skeid L 1-2 1426 1483 23.3% 24.5% 52.2% -3.9 10
1996-06-05 Rosenborg L 0-1 1514 1814 13.6% 19.3% 67.1% -2.4 12
1996-06-05 @ Stromsgodset W 1-0 1814 1514 67.1% 19.3% 13.6% +2.4 20
1996-06-05 Stabaek W 1-0 1691 1650 50.2% 24.9% 24.8% +4.4 17
1996-06-05 @ Tromso L 0-1 1650 1691 24.8% 24.9% 50.2% -4.4 14
1996-06-06 Start W 3-0 1742 1628 59.1% 22.5% 18.4% +9.0 23
1996-06-06 @ Lillestrom L 0-3 1628 1742 18.4% 22.5% 59.1% -9.0 7
1996-06-09 Molde W 4-0 1654 1678 41.3% 26.1% 32.6% +19.5 21
1996-06-09 @ Brann L 0-4 1678 1654 32.6% 26.1% 41.3% -19.5 20
1996-06-09 Stabaek W 2-1 1751 1645 58.1% 22.8% 19.0% +3.2 26
1996-06-09 @ Lillestrom L 1-2 1645 1751 19.0% 22.8% 58.1% -3.2 14
1996-06-09 Stromsgodset W 5-2 1423 1512 32.3% 26.1% 41.7% +13.2 13
1996-06-09 @ Moss L 2-5 1512 1423 41.7% 26.1% 32.3% -13.1 12
1996-06-09 Kongsvinger W 3-0 1816 1584 71.5% 17.2% 11.4% +5.2 23
1996-06-09 @ Rosenborg L 0-3 1584 1816 11.4% 17.2% 71.5% -5.2 11
1996-06-09 Skeid L 1-2 1619 1487 61.1% 21.8% 17.1% -8.4 7
1996-06-09 @ Start W 2-1 1487 1619 17.1% 21.8% 61.1% +8.4 22
1996-06-09 Tromso D 2-2 1611 1696 32.9% 26.1% 41.0% +0.2 9
1996-06-09 @ Valerenga D 2-2 1696 1611 41.0% 26.1% 32.9% -0.2 18
1996-06-09 Bodo Glimt W 4-0 1715 1675 50.0% 25.0% 25.0% +15.7 19
1996-06-09 @ Viking L 0-4 1675 1715 25.0% 25.0% 50.0% -15.7 9
1996-06-17 Stabaek W 4-0 1673 1642 48.9% 25.2% 25.9% +16.2 24
1996-06-17 @ Brann L 0-4 1642 1673 25.9% 25.2% 48.9% -16.2 14
1996-06-17 Kongsvinger L 4-5 1611 1578 49.1% 25.1% 25.8% -6.4 7
1996-06-17 @ Start W 5-4 1578 1611 25.8% 25.1% 49.1% +6.4 14
1996-06-30 Moss W 4-1 1660 1436 70.6% 17.6% 11.8% +4.6 12
1996-06-30 @ Bodo Glimt L 1-4 1436 1660 11.8% 17.6% 70.6% -4.6 13
1996-06-30 Start L 0-2 1585 1604 42.1% 26.0% 31.9% -12.5 14
1996-06-30 @ Kongsvinger W 2-0 1604 1585 31.9% 26.0% 42.1% +12.5 10
1996-06-30 Rosenborg L 0-3 1659 1821 23.8% 24.7% 51.5% -11.5 20
1996-06-30 @ Molde W 3-0 1821 1659 51.5% 24.7% 23.8% +11.5 26
1996-06-30 Brann W 4-1 1626 1689 35.8% 26.2% 38.0% +14.2 17
1996-06-30 @ Stabaek L 1-4 1689 1626 38.0% 26.2% 35.8% -14.1 24
1996-06-30 Skeid W 1-0 1499 1496 45.2% 25.7% 29.1% +5.0 15
1996-06-30 @ Stromsgodset L 0-1 1496 1499 29.1% 25.7% 45.2% -5.0 22
1996-06-30 Viking D 2-2 1695 1731 39.9% 26.2% 34.0% -0.1 19
1996-06-30 @ Tromso D 2-2 1731 1695 34.0% 26.2% 39.9% +0.1 20
1996-07-03 Rosenborg L 1-5 1695 1833 26.5% 25.3% 48.2% -13.8 19
1996-07-03 @ Tromso W 5-1 1833 1695 48.2% 25.3% 26.5% +13.7 29
1996-07-03 Lillestrom W 2-1 1611 1754 25.9% 25.2% 49.0% +7.0 12
1996-07-03 @ Valerenga L 1-2 1754 1611 49.0% 25.2% 25.9% -7.0 26
1996-07-07 Rosenborg L 0-4 1664 1847 22.0% 24.1% 54.0% -14.0 12
1996-07-07 @ Bodo Glimt W 4-0 1847 1664 54.0% 24.1% 22.0% +14.0 32
1996-07-07 Moss W 2-1 1572 1431 62.2% 21.4% 16.5% +2.8 17
1996-07-07 @ Kongsvinger L 1-2 1431 1572 16.5% 21.4% 62.2% -2.8 13
1996-07-07 Viking W 3-0 1647 1731 33.1% 26.1% 40.8% +17.7 23
1996-07-07 @ Molde L 0-3 1731 1647 40.8% 26.1% 33.1% -17.7 20
1996-07-07 Valerenga D 0-0 1640 1618 47.7% 25.4% 26.9% -0.8 18
1996-07-07 @ Stabaek D 0-0 1618 1640 26.9% 25.4% 47.7% +0.8 13
1996-07-07 Start W 4-1 1504 1617 29.3% 25.8% 44.9% +16.1 18
1996-07-07 @ Stromsgodset L 1-4 1617 1504 44.9% 25.8% 29.3% -16.1 10
1996-07-07 Brann W 4-1 1682 1675 45.6% 25.7% 28.7% +11.4 22
1996-07-07 @ Tromso L 1-4 1675 1682 28.7% 25.7% 45.6% -11.4 24
1996-07-10 Lillestrom L 1-3 1491 1747 16.2% 21.2% 62.6% -4.7 22
1996-07-10 @ Skeid W 3-1 1747 1491 62.6% 21.2% 16.2% +4.7 29
1996-07-14 Valerenga D 2-2 1664 1619 50.7% 24.8% 24.5% -0.7 25
1996-07-14 @ Brann D 2-2 1619 1664 24.5% 24.8% 50.7% +0.7 14
1996-07-14 Stromsgodset D 3-3 1752 1520 71.4% 17.2% 11.4% -1.3 30
1996-07-14 @ Lillestrom D 3-3 1520 1752 11.4% 17.2% 71.4% +1.3 19
1996-07-14 Molde D 1-1 1428 1665 17.6% 22.1% 60.4% +1.5 14
1996-07-14 @ Moss D 1-1 1665 1428 60.4% 22.1% 17.6% -1.5 24
1996-07-14 Tromso W 2-1 1861 1693 65.0% 20.2% 14.8% +2.4 35
1996-07-14 @ Rosenborg L 1-2 1693 1861 14.8% 20.2% 65.0% -2.4 22
1996-07-14 Kongsvinger D 0-0 1486 1575 32.3% 26.1% 41.6% +0.3 23
1996-07-14 @ Skeid D 0-0 1575 1486 41.6% 26.1% 32.3% -0.3 18
1996-07-14 Bodo Glimt D 2-2 1601 1650 37.8% 26.2% 36.0% -0.0 11
1996-07-14 @ Start D 2-2 1650 1601 36.0% 26.2% 37.8% +0.0 13
1996-07-14 Stabaek L 2-3 1713 1639 54.3% 24.0% 21.7% -7.3 20
1996-07-14 @ Viking W 3-2 1639 1713 21.7% 24.0% 54.3% +7.3 21
1996-07-21 Skeid L 0-3 1650 1486 64.6% 20.4% 15.0% -25.6 13
1996-07-21 @ Bodo Glimt W 3-0 1486 1650 15.0% 20.4% 64.6% +25.6 26
1996-07-21 Stromsgodset W 3-0 1575 1521 51.8% 24.6% 23.6% +11.4 21
1996-07-21 @ Kongsvinger L 0-3 1521 1575 23.6% 24.6% 51.8% -11.4 19
1996-07-21 Start W 5-1 1663 1600 53.0% 24.3% 22.7% +12.0 27
1996-07-21 @ Molde L 1-5 1600 1663 22.7% 24.3% 53.0% -12.0 11
1996-07-21 Rosenborg D 4-4 1647 1863 19.1% 22.9% 58.0% +0.7 22
1996-07-21 @ Stabaek D 4-4 1863 1647 58.0% 22.9% 19.1% -0.7 36
1996-07-21 Moss D 2-2 1690 1430 74.0% 15.9% 10.1% -1.7 23
1996-07-21 @ Tromso D 2-2 1430 1690 10.1% 15.9% 74.0% +1.7 15
1996-07-21 Viking D 0-0 1620 1706 32.7% 26.1% 41.2% +0.3 15
1996-07-21 @ Valerenga D 0-0 1706 1620 41.2% 26.1% 32.7% -0.3 21
1996-08-03 Bodo Glimt L 2-4 1510 1625 29.1% 25.7% 45.2% -7.3 19
1996-08-03 @ Stromsgodset W 4-2 1625 1510 45.2% 25.7% 29.1% +7.3 16
1996-08-04 Kongsvinger D 0-0 1751 1586 64.7% 20.3% 15.0% -2.0 31
1996-08-04 @ Lillestrom D 0-0 1586 1751 15.0% 20.3% 64.7% +1.9 22
1996-08-04 Stabaek L 2-4 1431 1647 19.1% 22.9% 58.0% -5.0 15
1996-08-04 @ Moss W 4-2 1647 1431 58.0% 22.9% 19.1% +5.0 25
1996-08-04 Valerenga W 6-0 1862 1620 72.4% 16.7% 10.9% +9.6 39
1996-08-04 @ Rosenborg L 0-6 1620 1862 10.9% 16.7% 72.4% -9.6 15
1996-08-04 Tromso L 1-4 1589 1689 30.9% 25.9% 43.2% -12.1 11
1996-08-04 @ Start W 4-1 1689 1589 43.2% 25.9% 30.9% +12.1 26
1996-08-04 Brann W 3-0 1705 1663 50.3% 24.9% 24.8% +11.9 24
1996-08-04 @ Viking L 0-3 1663 1705 24.8% 24.9% 50.3% -11.9 25
1996-08-11 Kongsvinger W 5-3 1632 1588 50.6% 24.9% 24.6% +6.0 19
1996-08-11 @ Bodo Glimt L 3-5 1588 1632 24.6% 24.9% 50.6% -6.0 22
1996-08-11 Rosenborg D 3-3 1651 1872 18.8% 22.7% 58.5% +0.9 26
1996-08-11 @ Brann D 3-3 1872 1651 58.5% 22.7% 18.8% -0.8 40
1996-08-11 Stromsgodset L 0-1 1675 1502 65.6% 20.0% 14.5% -9.5 27
1996-08-11 @ Molde W 1-0 1502 1675 14.5% 20.0% 65.6% +9.5 22
1996-08-11 Start D 1-1 1652 1576 54.6% 23.9% 21.5% -1.1 26
1996-08-11 @ Stabaek D 1-1 1576 1652 21.5% 23.9% 54.6% +1.1 12
1996-08-11 Skeid L 2-4 1701 1512 67.2% 19.2% 13.6% -14.1 26
1996-08-11 @ Tromso W 4-2 1512 1701 13.6% 19.2% 67.2% +14.1 29
1996-08-11 Moss W 4-1 1610 1426 66.7% 19.5% 13.8% +5.6 18
1996-08-11 @ Valerenga L 1-4 1426 1610 13.8% 19.5% 66.7% -5.6 15
1996-08-11 Lillestrom D 2-2 1717 1749 40.4% 26.1% 33.5% -0.2 25
1996-08-11 @ Viking D 2-2 1749 1717 33.5% 26.1% 40.4% +0.2 32
1996-08-17 Molde W 1-0 1582 1666 33.0% 26.1% 40.9% +6.5 25
1996-08-17 @ Kongsvinger L 0-1 1666 1582 40.9% 26.1% 33.0% -6.5 27
1996-08-17 Bodo Glimt L 1-2 1749 1638 58.8% 22.6% 18.6% -8.2 32
1996-08-17 @ Lillestrom W 2-1 1638 1749 18.6% 22.6% 58.8% +8.2 22
1996-08-18 Brann W 2-1 1421 1652 18.0% 22.3% 59.7% +8.3 18
1996-08-18 @ Moss L 1-2 1652 1421 59.7% 22.3% 18.0% -8.3 26
1996-08-18 Viking W 2-1 1871 1717 63.5% 20.8% 15.6% +2.6 43
1996-08-18 @ Rosenborg L 1-2 1717 1871 15.6% 20.8% 63.5% -2.6 25
1996-08-18 Stabaek W 3-1 1526 1651 27.9% 25.6% 46.6% +11.7 32
1996-08-18 @ Skeid L 1-3 1651 1526 46.6% 25.6% 27.9% -11.7 26
1996-08-18 Tromso W 5-2 1512 1687 22.7% 24.3% 53.0% +15.9 25
1996-08-18 @ Stromsgodset L 2-5 1687 1512 53.0% 24.3% 22.7% -15.9 26
1996-08-19 Valerenga L 2-4 1578 1616 39.4% 26.2% 34.4% -9.2 12
1996-08-19 @ Start W 4-2 1616 1578 34.4% 26.2% 39.4% +9.2 21
1996-08-24 Kongsvinger W 2-1 1671 1589 55.4% 23.7% 20.9% +3.5 29
1996-08-24 @ Tromso L 1-2 1589 1671 20.9% 23.7% 55.4% -3.5 25
1996-08-25 Start W 7-1 1644 1568 54.5% 23.9% 21.6% +16.5 29
1996-08-25 @ Brann L 1-7 1568 1644 21.6% 23.9% 54.5% -16.5 12
1996-08-25 Bodo Glimt L 1-2 1659 1646 46.6% 25.6% 27.9% -6.8 27
1996-08-25 @ Molde W 2-1 1646 1659 27.9% 25.6% 46.6% +6.8 25
1996-08-25 Lillestrom W 7-2 1874 1741 61.3% 21.7% 17.0% +9.2 46
1996-08-25 @ Rosenborg L 2-7 1741 1874 17.0% 21.7% 61.3% -9.2 32
1996-08-25 Stromsgodset W 4-0 1640 1528 58.8% 22.6% 18.6% +11.8 29
1996-08-25 @ Stabaek L 0-4 1528 1640 18.6% 22.6% 58.8% -11.8 25
1996-08-25 Skeid W 3-0 1625 1538 56.0% 23.5% 20.5% +10.0 24
1996-08-25 @ Valerenga L 0-3 1538 1625 20.5% 23.5% 56.0% -10.0 32
1996-08-25 Moss W 1-0 1715 1429 76.1% 14.7% 9.1% +1.5 28
1996-08-25 @ Viking L 0-1 1429 1715 9.1% 14.7% 76.1% -1.5 18
1996-08-28 Lillestrom D 2-2 1660 1731 34.7% 26.2% 39.1% +0.1 30
1996-08-28 @ Brann D 2-2 1731 1660 39.1% 26.2% 34.7% -0.1 33
1996-09-04 Tromso L 1-3 1653 1674 41.8% 26.1% 32.2% -10.8 25
1996-09-04 @ Bodo Glimt W 3-1 1674 1653 32.2% 26.1% 41.8% +10.8 32
1996-09-04 Stabaek W 4-2 1585 1651 35.4% 26.2% 38.4% +9.0 28
1996-09-04 @ Kongsvinger L 2-4 1651 1585 38.4% 26.2% 35.4% -9.0 29
1996-09-04 Molde W 3-0 1731 1653 54.9% 23.8% 21.3% +10.4 36
1996-09-04 @ Lillestrom L 0-3 1653 1731 21.3% 23.8% 54.9% -10.4 27
1996-09-04 Rosenborg D 0-0 1428 1883 7.1% 12.2% 80.7% +2.8 19
1996-09-04 @ Moss D 0-0 1883 1428 80.7% 12.2% 7.1% -2.8 47
1996-09-04 Brann L 1-6 1528 1661 27.0% 25.4% 47.6% -17.1 32
1996-09-04 @ Skeid W 6-1 1661 1528 47.6% 25.4% 27.0% +17.1 33
1996-09-04 Viking L 0-3 1552 1716 23.7% 24.6% 51.7% -11.5 12
1996-09-04 @ Start W 3-0 1716 1552 51.7% 24.6% 23.7% +11.5 31
1996-09-04 Valerenga D 2-2 1516 1635 28.6% 25.7% 45.8% +0.4 26
1996-09-04 @ Stromsgodset D 2-2 1635 1516 45.8% 25.7% 28.6% -0.4 25
1996-09-07 Bodo Glimt W 1-0 1642 1642 44.8% 25.8% 29.4% +5.0 32
1996-09-07 @ Stabaek L 0-1 1642 1642 29.4% 25.8% 44.8% -5.0 25
1996-09-08 Stromsgodset W 6-2 1678 1516 64.3% 20.5% 15.2% +6.8 36
1996-09-08 @ Brann L 2-6 1516 1678 15.2% 20.5% 64.3% -6.8 26
1996-09-08 Lillestrom W 1-0 1431 1742 13.0% 18.7% 68.3% +9.8 22
1996-09-08 @ Moss L 0-1 1742 1431 68.3% 18.7% 13.0% -9.8 36
1996-09-08 Start W 2-1 1880 1540 80.4% 12.3% 7.2% +1.1 50
1996-09-08 @ Rosenborg L 1-2 1540 1880 7.2% 12.3% 80.4% -1.0 12
1996-09-08 Molde W 3-1 1685 1642 50.4% 24.9% 24.7% +7.1 35
1996-09-08 @ Tromso L 1-3 1642 1685 24.7% 24.9% 50.4% -7.1 27
1996-09-08 Kongsvinger D 0-0 1635 1594 50.2% 24.9% 24.9% -0.9 26
1996-09-08 @ Valerenga D 0-0 1594 1635 24.9% 24.9% 50.2% +0.9 29
1996-09-08 Skeid W 7-0 1727 1511 70.0% 17.9% 12.1% +12.5 34
1996-09-08 @ Viking L 0-7 1511 1727 12.1% 17.9% 70.0% -12.5 32
1996-09-14 Rosenborg L 0-2 1498 1881 9.7% 15.4% 75.0% -3.0 32
1996-09-14 @ Skeid W 2-0 1881 1498 75.0% 15.4% 9.7% +3.0 53
1996-09-15 Valerenga W 3-0 1637 1634 45.2% 25.7% 29.1% +13.7 28
1996-09-15 @ Bodo Glimt L 0-3 1634 1637 29.1% 25.7% 45.2% -13.7 26
1996-09-15 Brann D 2-2 1595 1684 32.3% 26.1% 41.7% +0.2 30
1996-09-15 @ Kongsvinger D 2-2 1684 1595 41.7% 26.1% 32.3% -0.2 37
1996-09-15 Tromso D 1-1 1732 1692 50.0% 25.0% 25.0% -0.8 37
1996-09-15 @ Lillestrom D 1-1 1692 1732 25.0% 25.0% 50.0% +0.8 36
1996-09-15 Stabaek D 0-0 1635 1647 43.1% 26.0% 31.0% -0.4 28
1996-09-15 @ Molde D 0-0 1647 1635 31.0% 26.0% 43.1% +0.4 33
1996-09-15 Moss W 5-0 1539 1440 57.4% 23.1% 19.6% +15.4 15
1996-09-15 @ Start L 0-5 1440 1539 19.6% 23.1% 57.4% -15.4 22
1996-09-15 Viking L 1-3 1510 1740 18.1% 22.3% 59.6% -5.2 26
1996-09-15 @ Stromsgodset W 3-1 1740 1510 59.6% 22.3% 18.1% +5.2 37
1996-09-18 Molde L 1-5 1495 1635 26.2% 25.2% 48.5% -13.6 32
1996-09-18 @ Skeid W 5-1 1635 1495 48.5% 25.2% 26.2% +13.6 31
1996-09-28 Molde D 0-0 1620 1648 40.8% 26.1% 33.1% -0.3 27
1996-09-28 @ Valerenga D 0-0 1648 1620 33.1% 26.1% 40.8% +0.3 32
1996-09-29 Bodo Glimt W 2-0 1684 1651 49.2% 25.1% 25.7% +8.5 40
1996-09-29 @ Brann L 0-2 1651 1684 25.7% 25.1% 49.2% -8.5 28
1996-09-29 Skeid W 1-0 1425 1481 36.8% 26.2% 37.0% +6.0 25
1996-09-29 @ Moss L 0-1 1481 1425 37.0% 26.2% 36.8% -6.0 32
1996-09-29 Stromsgodset W 5-0 1884 1504 83.2% 10.7% 6.0% +4.0 56
1996-09-29 @ Rosenborg L 0-5 1504 1884 6.0% 10.7% 83.2% -4.0 26
1996-09-29 Tromso L 0-2 1648 1693 38.4% 26.2% 35.4% -11.7 33
1996-09-29 @ Stabaek W 2-0 1693 1648 35.4% 26.2% 38.4% +11.7 39
1996-09-29 Kongsvinger W 1-0 1745 1595 63.1% 21.0% 15.9% +2.8 40
1996-09-29 @ Viking L 0-1 1595 1745 15.9% 21.0% 63.1% -2.8 30
1996-10-01 Lillestrom L 0-2 1555 1731 22.5% 24.2% 53.2% -7.5 15
1996-10-01 @ Start W 2-0 1731 1555 53.2% 24.2% 22.5% +7.5 40
1996-10-13 Viking W 7-0 1642 1748 30.2% 25.9% 43.9% +41.5 31
1996-10-13 @ Bodo Glimt L 0-7 1748 1642 43.9% 25.9% 30.2% -41.5 40
1996-10-13 Rosenborg W 4-3 1592 1888 13.8% 19.5% 66.7% +8.4 33
1996-10-13 @ Kongsvinger L 3-4 1888 1592 66.7% 19.5% 13.8% -8.4 56
1996-10-13 Brann D 3-3 1649 1693 38.6% 26.2% 35.2% -0.1 33
1996-10-13 @ Molde D 3-3 1693 1649 35.2% 26.2% 38.6% +0.1 41
1996-10-13 Start L 2-3 1475 1547 34.6% 26.2% 39.2% -5.1 32
1996-10-13 @ Skeid W 3-2 1547 1475 39.2% 26.2% 34.6% +5.1 18
1996-10-13 Lillestrom L 0-3 1636 1739 30.6% 25.9% 43.5% -14.2 33
1996-10-13 @ Stabaek W 3-0 1739 1636 43.5% 25.9% 30.6% +14.2 43
1996-10-13 Moss L 0-1 1500 1431 53.8% 24.1% 22.1% -8.1 26
1996-10-13 @ Stromsgodset W 1-0 1431 1500 22.1% 24.1% 53.8% +8.1 28
1996-10-13 Valerenga D 0-0 1705 1620 55.7% 23.6% 20.7% -1.3 40
1996-10-13 @ Tromso D 0-0 1620 1705 20.7% 23.6% 55.7% +1.3 28
1996-10-20 Tromso D 3-3 1693 1703 43.3% 25.9% 30.8% -0.2 42
1996-10-20 @ Brann D 3-3 1703 1693 30.8% 25.9% 43.3% +0.2 41
1996-10-20 Skeid W 5-0 1753 1470 75.9% 14.9% 9.2% +6.6 46
1996-10-20 @ Lillestrom L 0-5 1470 1753 9.2% 14.9% 75.9% -6.6 32
1996-10-20 Kongsvinger D 2-2 1439 1601 23.9% 24.7% 51.4% +0.7 29
1996-10-20 @ Moss D 2-2 1601 1439 51.4% 24.7% 23.9% -0.7 34
1996-10-20 Bodo Glimt W 2-0 1880 1684 67.9% 18.9% 13.2% +4.3 59
1996-10-20 @ Rosenborg L 0-2 1684 1880 13.2% 18.9% 67.9% -4.3 31
1996-10-20 Stromsgodset L 2-6 1552 1492 52.6% 24.4% 23.0% -20.0 18
1996-10-20 @ Start W 6-2 1492 1552 23.0% 24.4% 52.6% +20.0 29
1996-10-20 Stabaek L 2-3 1621 1622 44.6% 25.8% 29.6% -6.2 28
1996-10-20 @ Valerenga W 3-2 1622 1621 29.6% 25.8% 44.6% +6.2 36
1996-10-20 Molde W 3-0 1707 1649 52.3% 24.5% 23.2% +11.2 43
1996-10-20 @ Viking L 0-3 1649 1707 23.2% 24.5% 52.3% -11.2 33

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 1996-05-27 11.33% Stromsgodset 1504 1 @ Viking 1737 0
2 1996-05-12 12.35% @ Moss 1407 1 Viking 1731 0
3 1996-09-08 13.00% @ Moss 1431 1 Lillestrom 1742 0
4 1996-05-09 13.37% Stromsgodset 1514 1 @ Tromso 1706 0
5 1996-08-11 13.56% Skeid 1512 4 @ Tromso 1701 2
6 1996-10-13 13.84% @ Kongsvinger 1592 4 Rosenborg 1888 3
7 1996-05-01 14.17% Skeid 1455 1 @ Molde 1633 0
8 1996-08-11 14.48% Stromsgodset 1502 1 @ Molde 1675 0
9 1996-04-21 14.78% Skeid 1450 2 @ Kongsvinger 1618 1
10 1996-07-21 15.01% Skeid 1486 3 @ Bodo Glimt 1650 0
11 1996-05-16 15.86% Skeid 1482 2 @ Brann 1632 1
12 1996-05-05 16.58% @ Skeid 1464 1 Tromso 1715 0
13 1996-06-09 17.10% Skeid 1487 2 @ Start 1619 1
14 1996-08-18 17.98% @ Moss 1421 2 Brann 1652 1
15 1996-08-17 18.63% Bodo Glimt 1638 2 @ Lillestrom 1749 1
16 1996-05-27 18.92% @ Moss 1418 1 Start 1637 0
17 1996-05-19 21.47% @ Start 1629 2 Rosenborg 1817 1
18 1996-05-12 21.73% Molde 1640 3 @ Bodo Glimt 1714 1
19 1996-07-14 21.73% Stabaek 1639 3 @ Viking 1713 2
20 1996-10-13 22.09% Moss 1431 1 @ Stromsgodset 1500 0
21 1996-08-18 22.68% @ Stromsgodset 1512 5 Tromso 1687 2
22 1996-10-20 22.99% Stromsgodset 1492 6 @ Start 1552 2
23 1996-05-19 23.60% Stabaek 1642 1 @ Bodo Glimt 1696 0
24 1996-05-05 23.63% Stabaek 1617 2 @ Start 1670 1
25 1996-06-05 24.28% Brann 1641 3 @ Bodo Glimt 1688 1

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 1996-10-13 41.53 @ Bodo Glimt 7 1642 30.19% Viking 0 1748 43.93% 25.88%
2 1996-05-05 27.20 Viking 4 1703 25.00% @ Lillestrom 0 1743 50.03% 24.97%
3 1996-07-21 25.61 Skeid 3 1486 15.01% @ Bodo Glimt 0 1650 64.62% 20.37%
4 1996-05-05 21.21 @ Rosenborg 10 1818 65.98% Brann 0 1641 14.24% 19.78%
5 1996-05-16 20.10 @ Stabaek 5 1622 48.65% Kongsvinger 0 1593 26.12% 25.22%
6 1996-10-20 20.04 Stromsgodset 6 1492 22.99% @ Start 2 1552 52.60% 24.40%
7 1996-06-09 19.52 @ Brann 4 1654 41.35% Molde 0 1678 32.56% 26.09%
8 1996-05-12 19.04 @ Lillestrom 3 1727 29.46% Rosenborg 0 1839 44.75% 25.79%
9 1996-07-07 17.73 @ Molde 3 1647 33.05% Viking 0 1731 40.83% 26.12%
10 1996-09-04 17.12 Brann 6 1661 47.60% @ Skeid 1 1528 27.00% 25.40%
11 1996-08-25 16.55 @ Brann 7 1644 54.54% Start 1 1568 21.55% 23.91%
12 1996-06-17 16.20 @ Brann 4 1673 48.89% Stabaek 0 1642 25.93% 25.18%
13 1996-07-07 16.10 @ Stromsgodset 4 1504 29.32% Start 1 1617 44.91% 25.77%
14 1996-05-19 16.00 @ Molde 3 1654 38.15% Tromso 0 1701 35.63% 26.22%
15 1996-08-18 15.95 @ Stromsgodset 5 1512 22.68% Tromso 2 1687 53.02% 24.30%
16 1996-06-09 15.71 @ Viking 4 1715 50.01% Bodo Glimt 0 1675 25.02% 24.97%
17 1996-09-15 15.38 @ Start 5 1539 57.36% Moss 0 1440 19.56% 23.08%
18 1996-04-21 15.11 @ Molde 8 1624 68.72% Moss 0 1420 12.76% 18.53%
19 1996-05-01 14.64 Lillestrom 5 1728 45.80% @ Kongsvinger 1 1609 28.54% 25.66%
20 1996-05-01 14.53 Rosenborg 4 1804 52.67% @ Valerenga 0 1632 22.94% 24.39%
21 1996-05-12 14.30 Brann 2 1618 25.11% @ Start 0 1657 49.90% 24.99%
22 1996-10-13 14.23 Lillestrom 3 1739 43.48% @ Stabaek 0 1636 30.60% 25.92%
23 1996-06-30 14.15 @ Stabaek 4 1626 35.82% Brann 1 1689 37.96% 26.22%
24 1996-08-11 14.08 Skeid 4 1512 13.56% @ Tromso 2 1701 67.20% 19.23%
25 1996-07-07 13.96 Rosenborg 4 1847 53.96% @ Bodo Glimt 0 1664 21.98% 24.06%