1988 First Division Season

132 games

Final

Champion

Rosenborg

47 points · 6th Title

Last Title: 1985

Relegated

Djerv 1919

13 pts

Strommen · 17 pts

Bryne · via playoff

Biggest Overachiever

Rosenborg

9.10 points above expected

47 points · 37.90 expected points

Biggest Disappointment

Djerv 1919

12.27 points below expected

13 points · 25.27 expected points

League Changes

Penalty shootouts were removed at the beginning of this season with teams earning 3 points for a win and 1 point for a draw.

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 Champion	22	14	5	3	47	54	23	+31	37.90	+9.10
2	Lillestrom	22	11	7	4	40	38	18	+20	34.25	+5.75
3	Molde	22	10	9	3	39	35	18	+17	33.90	+5.10
4	Moss	22	11	4	7	37	30	19	+11	35.09	+1.91
5	Tromso	22	9	6	7	33	27	22	+5	30.10	+2.90
6	Sogndal	22	8	7	7	31	27	27	0	33.27	-2.27
7	Valerenga	22	8	6	8	30	26	32	-6	29.37	+0.63
8	Kongsvinger	22	7	7	8	28	23	23	0	29.73	-1.73
9	Brann	22	7	4	11	25	16	30	-14	24.86	+0.14
10	Bryne Relegated	22	5	6	11	21	29	33	-4	26.21	-5.21
11	Strommen Relegated	22	4	5	13	17	16	34	-18	21.12	-4.12
12	Djerv 1919 Relegated	22	3	4	15	13	17	59	-42	25.27	-12.27

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	Rosenborg	47	37.90	+9.10
2	Lillestrom	40	34.25	+5.75
3	Molde	39	33.90	+5.10
4	Tromso	33	30.10	+2.90
5	Moss	37	35.09	+1.91

Biggest Disappointments

#	Team	Actual	Sim	vsSim
1	Djerv 1919	13	25.27	-12.27
2	Bryne	21	26.21	-5.21
3	Strommen	17	21.12	-4.12
4	Sogndal	31	33.27	-2.27
5	Kongsvinger	28	29.73	-1.73

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 consecutive wins or ties; Winless counts consecutive losses or ties.

Most Unlikely Winning Streaks

#	Team	Games	Dates	Probability
1	Moss	4	May 15 – Jun 4	1 in 49
2	Tromso	3	Aug 7 – Aug 21	1 in 45
3	Lillestrom	4	Jun 5 – Jul 3	1 in 33
4	Molde	4	Sep 11 – Oct 9	1 in 23
5	Brann	2	May 23 – May 30	1 in 15

Most Unlikely Losing Streaks

#	Team	Games	Dates	Probability
1	Sogndal	3	Sep 25 – Oct 9	1 in 73
2	Brann	4	May 1 – May 16	1 in 42
3	Djerv 1919	6	Aug 21 – Oct 2	1 in 35
4	Valerenga	3	Aug 14 – Aug 28	1 in 25
5	Bryne	3	Jun 5 – Jun 26	1 in 14

Most Unlikely Unbeaten Streaks

#	Team	Games	Dates	Probability
1	Moss	10	May 12 – Jul 24	1 in 36
2	Valerenga	8	Jun 5 – Aug 7	1 in 30
3	Molde	8	Jun 19 – Aug 14	1 in 23
4	Tromso	6	Aug 7 – Sep 10	1 in 20
5	Kongsvinger	5	Jul 3 – Aug 7	1 in 12

Most Unlikely Winless Streaks

#	Team	Games	Dates	Probability
1	Djerv 1919	10	May 12 – Jul 24	1 in 77
2	Kongsvinger	7	May 29 – Jul 24	1 in 35
3	Lillestrom	6	Jul 10 – Aug 21	1 in 35
4	Strommen	10	May 1 – Jul 3	1 in 17
5	Brann	8	Jun 5 – Aug 7	1 in 16

Position Race

Each team’s league position across the whole season. Colored teams are the season’s headline finishers — champion, promoted, and relegated; everyone else is gray as context.

Recent Form

Each team’s last 5 games, hottest first. Form shows the results (navy win, gray draw, red loss, newest on the right); the bars show Elo change over the window, points taken, points expected from the odds, and actual minus expected. Beside each team: current Elo and season points.

Team	Elo	Season Pts	Elo Δ (5)	Points (5)	Expected (5)	Actual − Exp
Rosenborg	1431	47	+20	10	10.8	-0.8
Lillestrom	1360	40	+47	11	8.0	+3.0
Molde	1384	39	+75	13	8.6	+4.4
Moss	1335	37	-22	6	7.4	-1.4
Tromso	1273	33	-7	5	6.1	-1.1
Sogndal	1214	31	-76	4	8.5	-4.5
Valerenga	1185	30	-31	6	5.9	+0.1
Kongsvinger	1284	28	+23	9	7.7	+1.3
Brann	1173	25	+7	9	5.6	+3.4
Bryne	1220	21	+33	5	5.3	-0.3
Strommen	1118	17	-15	6	4.3	+1.7
Djerv 1919	1047	13	-54	1	4.0	-3.0

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	BRA	BRY	D1	KON	LIL	MOL	MOS	ROS	SOG	STR	TRO	VAL
Brann	—	2-0-0 2.50	1-1-0 2.85	0-0-2 2.47	1-0-1 1.96	0-0-2 2.14	0-1-1 1.65	0-1-1 1.47	1-0-1 1.98	1-0-1 3.33	1-0-1 2.11	0-1-1 2.43
Bryne	0-0-2 2.95	—	1-1-0 3.42	0-1-1 2.42	0-1-1 2.09	0-1-1 2.45	0-1-1 2.12	0-0-2 1.77	0-1-1 2.18	2-0-0 3.00	1-0-1 2.57	1-0-1 2.42
Djerv 1919	0-1-1 2.60	0-1-1 2.03	—	0-0-2 2.61	0-0-2 1.79	0-0-2 1.93	2-0-0 2.08	0-0-2 1.25	0-0-2 2.18	0-1-1 3.40	0-1-1 2.75	1-0-1 2.27
Kongsvinger	2-0-0 2.98	1-1-0 3.04	2-0-0 2.86	—	0-1-1 2.28	0-1-1 2.28	1-0-1 2.27	0-1-1 2.18	0-1-1 2.46	0-1-1 3.91	0-1-1 2.86	1-0-1 2.91
Lillestrom	1-0-1 3.50	1-1-0 3.38	2-0-0 3.71	1-1-0 3.16	—	0-1-1 2.87	1-1-0 2.70	1-1-0 2.22	1-0-1 2.84	1-1-0 3.85	2-0-0 3.22	0-1-1 3.05
Molde	2-0-0 3.33	1-1-0 3.00	2-0-0 3.52	1-1-0 3.18	1-1-0 2.58	—	1-1-0 2.40	0-0-2 2.33	0-2-0 2.69	1-1-0 4.04	0-1-1 2.98	1-1-0 3.39
Moss	1-1-0 3.84	1-1-0 3.33	0-0-2 3.37	1-0-1 3.18	0-1-1 2.74	0-1-1 3.05	—	1-0-1 2.60	2-0-0 2.88	2-0-0 3.77	1-0-1 3.08	2-0-0 3.18
Rosenborg	1-1-0 4.02	2-0-0 3.73	2-0-0 4.28	1-1-0 3.30	0-1-1 3.25	2-0-0 3.12	1-0-1 2.84	—	1-1-0 3.37	2-0-0 3.73	1-0-1 3.78	1-1-0 3.26
Sogndal	1-0-1 3.47	1-1-0 3.28	2-0-0 3.31	1-1-0 2.98	1-0-1 2.60	0-2-0 2.76	0-0-2 2.58	0-1-1 2.10	—	1-0-1 3.80	1-1-0 2.87	0-1-1 3.01
Strommen	1-0-1 2.12	0-0-2 2.45	1-1-0 2.08	1-1-0 1.58	0-1-1 1.62	0-1-1 1.46	0-0-2 1.70	0-0-2 1.78	1-0-1 1.69	—	0-1-1 2.10	0-0-2 2.01
Tromso	1-0-1 3.34	1-0-1 2.87	1-1-0 2.73	1-1-0 2.60	0-0-2 2.24	1-1-0 2.47	1-0-1 2.40	1-0-1 1.71	0-1-1 2.58	1-1-0 3.36	—	1-1-0 2.69
Valerenga	1-1-0 3.03	1-0-1 3.02	1-0-1 3.17	1-0-1 2.55	1-1-0 2.41	0-1-1 2.06	0-0-2 2.29	0-1-1 2.19	1-1-0 2.45	2-0-0 3.44	0-1-1 2.76	—

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	0.75	+8.0
Allowed	0.66	-7.1
Differential	0.91	+4.9

Scoreline Distribution

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

View:

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	9.85%	10.61%	6.44%	2.27%	1.14%	1.52%	31.82%
1	10.61%	15.15%	6.44%	1.89%	2.27%	1.14%	37.50%
2	6.44%	6.44%	1.52%	1.14%	0.76%	1.14%	17.42%
3	2.27%	1.89%	1.14%	—	—	—	5.30%
4	1.14%	2.27%	0.76%	—	—	—	4.17%
5+	1.52%	1.14%	1.14%	—	—	—	3.79%
Total	31.82%	37.50%	17.42%	5.30%	4.17%	3.79%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.28	1.28	+0.00
SD	1.43	1.43	2.13
CV	1.11	1.11	—
Max	8	8	+8
Min	0	0	-8

Games Played: 132

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	4.55%	4.55%	18.18%	—	4.55%	—	31.82%
1	27.27%	13.64%	13.64%	—	9.09%	—	63.64%
2	4.55%	—	—	—	—	—	4.55%
3	—	—	—	—	—	—	—
4	—	—	—	—	—	—	—
5+	—	—	—	—	—	—	—
Total	36.36%	18.18%	31.82%	—	13.64%	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	0.73	1.36	-0.64
SD	0.55	1.36	1.62
CV	0.76	1.00	—
Max	2	4	+2
Min	0	0	-4

Games Played: 22

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	9.09%	18.18%	4.55%	4.55%	—	—	36.36%
1	4.55%	18.18%	4.55%	4.55%	—	—	31.82%
2	4.55%	—	—	9.09%	—	4.55%	18.18%
3	4.55%	—	—	—	—	—	4.55%
4	—	—	—	—	—	—	—
5+	—	4.55%	4.55%	—	—	—	9.09%
Total	22.73%	40.91%	13.64%	18.18%	—	4.55%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.32	1.50	-0.18
SD	1.62	1.44	2.04
CV	1.23	0.96	—
Max	6	6	+5
Min	0	0	-4

Games Played: 22

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	—	13.64%	4.55%	—	—	13.64%	31.82%
1	9.09%	18.18%	18.18%	—	4.55%	9.09%	59.09%
2	4.55%	—	—	—	—	4.55%	9.09%
3	—	—	—	—	—	—	—
4	—	—	—	—	—	—	—
5+	—	—	—	—	—	—	—
Total	13.64%	31.82%	22.73%	—	4.55%	27.27%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	0.77	2.68	-1.91
SD	0.61	2.53	2.71
CV	0.79	0.94	—
Max	2	8	+2
Min	0	0	-8

Games Played: 22

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	18.18%	13.64%	4.55%	—	—	4.55%	40.91%
1	9.09%	13.64%	9.09%	—	4.55%	—	36.36%
2	9.09%	4.55%	—	—	—	—	13.64%
3	4.55%	—	—	—	—	—	4.55%
4	—	—	—	—	—	—	—
5+	4.55%	—	—	—	—	—	4.55%
Total	45.45%	31.82%	13.64%	—	4.55%	4.55%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.05	1.05	+0.00
SD	1.40	1.50	2.29
CV	1.34	1.43	—
Max	6	6	+6
Min	0	0	-6

Games Played: 22

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	18.18%	13.64%	—	—	—	—	31.82%
1	9.09%	13.64%	—	4.55%	—	—	27.27%
2	4.55%	9.09%	—	—	—	—	13.64%
3	—	4.55%	4.55%	—	—	—	9.09%
4	—	13.64%	—	—	—	—	13.64%
5+	—	4.55%	—	—	—	—	4.55%
Total	31.82%	59.09%	4.55%	4.55%	—	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.73	0.82	+0.91
SD	1.98	0.73	1.93
CV	1.15	0.90	—
Max	8	3	+7
Min	0	0	-2

Games Played: 22

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	22.73%	4.55%	—	—	—	—	27.27%
1	13.64%	13.64%	—	—	—	—	27.27%
2	13.64%	—	4.55%	—	9.09%	—	27.27%
3	4.55%	—	—	—	—	—	4.55%
4	—	9.09%	—	—	—	—	9.09%
5+	—	—	4.55%	—	—	—	4.55%
Total	54.55%	27.27%	9.09%	—	9.09%	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.59	0.82	+0.77
SD	1.56	1.22	1.60
CV	0.98	1.49	—
Max	6	4	+4
Min	0	0	-2

Games Played: 22

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	4.55%	9.09%	4.55%	4.55%	—	—	22.73%
1	18.18%	13.64%	9.09%	4.55%	—	—	45.45%
2	13.64%	9.09%	—	—	—	—	22.73%
3	—	—	—	—	—	—	—
4	4.55%	—	—	—	—	—	4.55%
5+	4.55%	—	—	—	—	—	4.55%
Total	45.45%	31.82%	13.64%	9.09%	—	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.36	0.86	+0.50
SD	1.40	0.99	2.02
CV	1.03	1.15	—
Max	6	3	+6
Min	0	0	-3

Games Played: 22

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	9.09%	—	—	—	—	—	9.09%
1	4.55%	13.64%	9.09%	—	4.55%	—	31.82%
2	—	13.64%	—	—	—	—	13.64%
3	9.09%	9.09%	4.55%	—	—	—	22.73%
4	4.55%	—	9.09%	—	—	—	13.64%
5+	4.55%	4.55%	—	—	—	—	9.09%
Total	31.82%	40.91%	22.73%	—	4.55%	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	2.45	1.05	+1.41
SD	1.95	1.00	2.30
CV	0.79	0.96	—
Max	8	4	+8
Min	0	0	-3

Games Played: 22

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	9.09%	13.64%	—	—	4.55%	—	27.27%
1	9.09%	22.73%	4.55%	—	4.55%	—	40.91%
2	4.55%	9.09%	—	4.55%	—	—	18.18%
3	—	4.55%	4.55%	—	—	—	9.09%
4	—	4.55%	—	—	—	—	4.55%
5+	—	—	—	—	—	—	—
Total	22.73%	54.55%	9.09%	4.55%	9.09%	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.23	1.23	+0.00
SD	1.11	1.15	1.57
CV	0.90	0.94	—
Max	4	4	+3
Min	0	0	-4

Games Played: 22

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	9.09%	22.73%	9.09%	13.64%	4.55%	—	59.09%
1	4.55%	13.64%	—	4.55%	—	—	22.73%
2	4.55%	4.55%	—	—	—	4.55%	13.64%
3	—	—	—	—	—	—	—
4	—	—	—	—	—	—	—
5+	4.55%	—	—	—	—	—	4.55%
Total	22.73%	40.91%	9.09%	18.18%	4.55%	4.55%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	0.73	1.55	-0.82
SD	1.20	1.41	2.02
CV	1.65	0.91	—
Max	5	5	+5
Min	0	0	-4

Games Played: 22

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	4.55%	13.64%	9.09%	—	—	—	27.27%
1	4.55%	18.18%	9.09%	—	—	—	31.82%
2	9.09%	18.18%	4.55%	—	—	—	31.82%
3	4.55%	4.55%	—	—	—	—	9.09%
4	—	—	—	—	—	—	—
5+	—	—	—	—	—	—	—
Total	22.73%	54.55%	22.73%	—	—	—	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.23	1.00	+0.23
SD	0.97	0.69	1.34
CV	0.79	0.69	—
Max	3	2	+3
Min	0	0	-2

Games Played: 22

↓ Scored \| Allowed →	0	1	2	3	4	5+	Total
0	9.09%	—	22.73%	4.55%	—	—	36.36%
1	13.64%	9.09%	—	4.55%	—	4.55%	31.82%
2	4.55%	9.09%	9.09%	—	—	—	22.73%
3	—	—	—	—	—	—	—
4	4.55%	—	—	—	—	—	4.55%
5+	—	—	4.55%	—	—	—	4.55%
Total	31.82%	18.18%	36.36%	9.09%	—	4.55%	100%

Summary Statistics

	Scored	Allowed	Difference
Mean	1.18	1.45	-0.27
SD	1.33	1.44	2.07
CV	1.13	0.99	—
Max	5	6	+4
Min	0	0	-5

Games Played: 22

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	1431	47	37.90	+9.10	91.0%	18	27	33	38	42	50	51
Molde	1384	39	33.90	+5.10	79.0%	15	23	30	33	38	44	47
Lillestrom	1360	40	34.25	+5.75	89.0%	22	25	30	34	38	43	49
Moss	1335	37	35.09	+1.91	69.0%	22	24	31	35	39	45	48
Kongsvinger	1284	28	29.73	-1.73	44.0%	14	19	26	29	33	39	45
Tromso	1273	33	30.10	+2.90	71.0%	17	20	26	30	34	40	48
Bryne	1220	21	26.21	-5.21	17.0%	11	17	23	26	30	34	36
Sogndal	1214	31	33.27	-2.27	37.0%	21	23	29	33	37	42	49
Valerenga	1185	30	29.37	+0.63	56.0%	19	21	25	29	32	40	44
Brann	1173	25	24.86	+0.14	57.0%	9	14	21	25	28	36	45
Strommen	1118	17	21.12	-4.12	27.0%	9	12	17	21	25	30	35
Djerv 1919	1047	13	25.27	-12.27	2.0%	12	16	21	25	29	35	41

Point 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).

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.

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 14.5% * Slight Edge: 14.5% to 17.5% * Clear Edge: 17.5% to 23% * Strong Edge: 23% 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

+21.97%

Clear Edge

47.73%26.52%25.76%

Elo Value

Home Edge

134 Elo

0.007 goals per Elo point

077.60400

Scoring Tilt

Expected

+0.58 goals

Home-Tilted

-2+0.58+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 3 * Top-Heavy: 3 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 * Middle of the Pack: 3rd to 6th * Longshot: 7th 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 0.09 * Tight Race: 0.09 to 0.21 * Comfortable: 0.21 to 0.29 * Runaway: 0.29 and up.

Title-Race Openness

4.6

Open

134610

Champion Preseason Odds

39%

Rosenborg, 1st of 12

LongshotFavorite

Title Margin

Expected

0.32/gm

Runaway

00.180.5/gm

Simulation-Based Surprises

How these are measured

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

Luck Spread: Standard deviation of the gap between each team's actual points and their simulated average points. The gold line is the spread the model expected from chance alone.
As Expected: under 4.64 * Some Luck: 4.64 to 6.96 * Lucky: 6.96 to 9.28 * Wild Swing: 9.28 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 1.8 * Close: 1.8 to 2.7 * Off: 2.7 to 3.6 * Way Off: 3.6 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 12 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 12 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 12 * As Expected: 12 to 19.2 * Several Outliers: 19.2 to 26.4 * Many Outliers: 26.4 and up.
Unexpected Relegations: Number of teams that were actually relegated but were not in the model's projected bottom field of the same size. The gold line is how many the model expected to miss on average.
As Expected: under 1.67 * A Surprise: 1.67 to 2.67 * Several Surprises: 2.67 to 3.67 * Many Surprises: 3.67 and up.

Luck Spread

Expected

5.46 points

Some Luck

05.8015

Average Finish Error

Expected

1.17

Pinpoint

02.255

Biggest Overachiever

Expected 95.83%

91.00%

Rosenborg

50100

Biggest Underachiever

Expected 4.17%

2.00%

Djerv 1919

050

Season Outliers

Expected

1 of 12

Minimal Outliers

01.26

Unexpected Relegations

Expected

1 of 3

As Expected

01.73

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 0.14 * Even: 0.14 to 0.16 * Top-Heavy: 0.16 to 0.19 * Lopsided: 0.19 and up.
Noll-Scully: Take a league where every match is a coin flip and nobody is better than anybody. You would still get a table, with a leader and a bottom club, purely by luck, and you can work out how far apart that table would be. This is the real table measured against it. At 1.00 the season was no more spread out than pure chance; at 2.00 it was twice as spread out, which takes genuine differences in quality. Dividing by the luck figure is what makes seasons of different lengths comparable, because a short season spreads a table by luck alone far more than a long one does. Elo SD in the corner is the same question in rating points: how far apart the teams finished on the ratings.
Coin-Flip Parity: under 1.35 * Moderate Separation: 1.35 to 1.55 * Strong Separation: 1.55 to 1.75 * Wide Separation: 1.75 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 61.5% * Slight Edge: 61.5% to 65% * Clear Edge: 65% to 69.5% * Wide Edge: 69.5% 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 82% * Clear Edge: 82% to 87.5% * Strong Edge: 87.5% to 92.5% * Dominant: 92.5% 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 53.5% * Some Drama: 53.5% to 58% * Frequent: 58% to 62% * Very Frequent: 62% 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 16% * Occasional: 16% to 19% * Frequent: 19% to 25% * Very Frequent: 25% and up.

Gini Index

0.18

Top-Heavy

00.140.5

Noll-Scully

Elo SD: 113.84

1.63

Strong Separation

0.91.351.551.752.5

Interquartile Edge

71%

Wide Edge

50%61.5%69.5%100%

Best vs. Worst

Baseline

90%

Strong Edge

50%91%100%

Close Games

Expected

63%

Very Frequent

0%52%100%

Blowouts

Expected

19%

Occasional

0%24%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 0.32 * Slight Separation: 0.32 to 0.34 * Notable Separation: 0.34 to 0.38 * Lopsided: 0.38 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 0.28 * Some Carryover: 0.28 to 0.48 * Strong Carryover: 0.48 to 0.59 * Near-Lock: 0.59 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 23.5% * As Expected: 23.5% to 25.5% * Upset-Prone: 25.5% to 27.5% * Very Upset-Prone: 27.5% 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 19% * As Expected: 19% to 22% * Shaky Favorites: 22% to 25% * Very Shaky: 25% and up.

Brier Score

Expected

0.60

Predictable

00.622

Matchup Imbalance

0.34

Notable Separation

00.320.380.5

Strangeness

Expected

0.88

As Expected

01.002

Repeatability

0.10

Weak Carryover

00.280.481

Upset Rate

Expected

24%

As Expected

0%24%50%

Clear Favorite Upset Rate

Expected

21%

As Expected

0%21%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 0.14 * Near Noise Ceiling: 0.14 to 0.21 * Above Noise: 0.21 to 0.28 * Well Above Noise: 0.28 and up.

Probability calibration

0.39

Well Calibrated

0.010.050.10.51

Calibration slope

Ideal

0.99

Calibrated

0.51.001.5

Calibration error (ECE)

Noise ceiling

0.065

Well Within Noise

00.1400.4

Final Table Odds

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).

Team	1	2	3	4	5	6	7	8	9	10	11	12
Rosenborg	39.00%	17.00%	13.00%	8.00%	4.00%	7.00%	4.00%	1.00%	3.00%	3.00%	—	1.00%
Lillestrom	8.00%	22.00%	15.00%	14.00%	13.00%	8.00%	6.00%	6.00%	6.00%	1.00%	1.00%	—
Molde	14.00%	13.00%	11.00%	15.00%	14.00%	11.00%	12.00%	3.00%	1.00%	1.00%	2.00%	3.00%
Moss	15.00%	19.00%	12.00%	14.00%	12.00%	8.00%	6.00%	5.00%	5.00%	2.00%	2.00%	—
Tromso	7.00%	4.00%	9.00%	11.00%	8.00%	11.00%	11.00%	8.00%	9.00%	14.00%	4.00%	4.00%
Sogndal	10.00%	10.00%	20.00%	9.00%	12.00%	13.00%	8.00%	5.00%	3.00%	5.00%	4.00%	1.00%
Valerenga	5.00%	4.00%	3.00%	6.00%	12.00%	15.00%	9.00%	12.00%	9.00%	12.00%	9.00%	4.00%
Kongsvinger	1.00%	8.00%	11.00%	8.00%	8.00%	10.00%	11.00%	16.00%	10.00%	9.00%	5.00%	3.00%
Brann	—	3.00%	2.00%	2.00%	4.00%	2.00%	12.00%	10.00%	15.00%	14.00%	19.00%	17.00%
Bryne	—	—	2.00%	8.00%	5.00%	7.00%	12.00%	15.00%	12.00%	15.00%	17.00%	7.00%
Strommen	—	—	—	1.00%	1.00%	4.00%	1.00%	6.00%	10.00%	14.00%	20.00%	43.00%
Djerv 1919	1.00%	—	2.00%	4.00%	7.00%	4.00%	8.00%	13.00%	17.00%	10.00%	17.00%	17.00%

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.

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
Lillestrom	98.00%	1.00%	1.00%
Rosenborg	96.00%	3.00%	1.00%
Moss	96.00%	2.00%	2.00%
Molde	94.00%	1.00%	5.00%
Sogndal	90.00%	5.00%	5.00%
Kongsvinger	83.00%	9.00%	8.00%
Tromso	78.00%	14.00%	8.00%
Valerenga	75.00%	12.00%	13.00%
Bryne	61.00%	15.00%	24.00%
Djerv 1919	56.00%	10.00%	34.00%
Brann	50.00%	14.00%	36.00%
Strommen	23.00%	14.00%	63.00%

Filter by Team:

Overall Game Log

Summary of every completed game this season. Sort any column by clicking its header.

Date	Opponent	Score	Excitement	Pre Elo	Opp Elo	Win %	Tie %	Loss %	Proj. Margin	Elo Δ	Points
1988-05-01	Valerenga	L 1-2	51.0	1240	1244	46.01%	27.67%	26.33%	+0.55	-14.4	0
1988-05-01	@ Brann	W 2-1	51.0	1244	1240	26.33%	27.67%	46.01%	-0.55	+14.4	3
1988-05-01	Molde	D 0-0	48.1	1246	1259	44.76%	27.77%	27.46%	+0.48	-1.3	1
1988-05-01	@ Bryne	D 0-0	48.1	1259	1246	27.46%	27.77%	44.76%	-0.48	+1.3	1
1988-05-01	Tromso	D 1-1	53.0	1296	1214	56.02%	26.09%	17.89%	+1.19	-2.8	1
1988-05-01	@ Djerv 1919	D 1-1	53.0	1214	1296	17.89%	26.09%	56.02%	-1.19	+2.8	1
1988-05-01	Strommen	W 1-0	37.6	1262	1196	54.25%	26.47%	19.28%	+1.07	+7.7	3
1988-05-01	@ Lillestrom	L 0-1	37.6	1196	1262	19.28%	26.47%	54.25%	-1.07	-7.7	0
1988-05-01	Moss	W 2-1	45.4	1261	1267	45.81%	27.68%	26.51%	+0.54	+9.5	3
1988-05-01	@ Rosenborg	L 1-2	45.4	1267	1261	26.51%	27.68%	45.81%	-0.54	-9.5	0
1988-05-01	Kongsvinger	W 1-0	40.6	1264	1276	44.93%	27.76%	27.31%	+0.49	+10.3	3
1988-05-01	@ Sogndal	L 0-1	40.6	1276	1264	27.31%	27.76%	44.93%	-0.49	-10.3	0
1988-05-08	Brann	W 1-0	38.5	1266	1225	51.42%	26.98%	21.60%	+0.88	+8.5	3
1988-05-08	@ Kongsvinger	L 0-1	38.5	1225	1266	21.60%	26.98%	51.42%	-0.88	-8.5	0
1988-05-08	Sogndal	D 1-1	52.6	1261	1274	44.77%	27.77%	27.45%	+0.48	-1.2	2
1988-05-08	@ Molde	D 1-1	52.6	1274	1261	27.45%	27.77%	44.77%	-0.48	+1.2	4
1988-05-08	Djerv 1919	L 0-1	45.1	1257	1293	41.73%	27.97%	30.30%	+0.31	-14.1	0
1988-05-08	@ Moss	W 1-0	45.1	1293	1257	30.30%	27.97%	41.73%	-0.31	+14.1	4
1988-05-08	Rosenborg	L 0-3	38.6	1188	1271	35.29%	28.11%	36.60%	-0.03	-34.1	0
1988-05-08	@ Strommen	W 3-0	38.6	1271	1188	36.60%	28.11%	35.29%	+0.03	+34.1	6
1988-05-08	Bryne	W 3-0	36.7	1217	1244	42.94%	27.90%	29.15%	+0.37	+29.6	4
1988-05-08	@ Tromso	L 0-3	36.7	1244	1217	29.15%	27.90%	42.94%	-0.37	-29.6	1
1988-05-09	Lillestrom	D 0-0	48.2	1258	1269	45.09%	27.75%	27.16%	+0.50	-1.4	4
1988-05-09	@ Valerenga	D 0-0	48.2	1269	1258	27.16%	27.75%	45.09%	-0.50	+1.4	4
1988-05-12	Rosenborg	D 1-1	52.8	1274	1305	42.55%	27.93%	29.52%	+0.35	-0.9	4
1988-05-12	@ Kongsvinger	D 1-1	52.8	1305	1274	29.52%	27.93%	42.55%	-0.35	+0.9	7
1988-05-12	Lillestrom	D 0-0	48.2	1259	1271	45.08%	27.75%	27.17%	+0.50	-1.4	3
1988-05-12	@ Molde	D 0-0	48.2	1271	1259	27.17%	27.75%	45.08%	-0.50	+1.4	5
1988-05-12	Bryne	D 1-1	52.5	1243	1215	49.98%	27.20%	22.82%	+0.79	-1.9	1
1988-05-12	@ Moss	D 1-1	52.5	1215	1243	22.82%	27.20%	49.98%	-0.79	+1.9	2
1988-05-12	Brann	W 2-0	35.4	1275	1217	53.47%	26.62%	19.91%	+1.01	+14.9	7
1988-05-12	@ Sogndal	L 0-2	35.4	1217	1275	19.91%	26.62%	53.47%	-1.01	-14.9	0
1988-05-12	Tromso	D 1-1	52.1	1154	1247	33.85%	28.10%	38.06%	-0.11	+0.3	1
1988-05-12	@ Strommen	D 1-1	52.1	1247	1154	38.06%	28.10%	33.85%	+0.11	-0.3	5
1988-05-12	Djerv 1919	W 2-1	47.3	1257	1308	39.75%	28.05%	32.20%	+0.20	+11.0	7
1988-05-12	@ Valerenga	L 1-2	47.3	1308	1257	32.20%	28.05%	39.75%	-0.20	-11.0	4
1988-05-15	Sogndal	D 1-1	52.4	1217	1290	36.53%	28.11%	35.36%	+0.03	-0.1	3
1988-05-15	@ Bryne	D 1-1	52.4	1290	1217	35.36%	28.11%	36.53%	-0.03	+0.1	8
1988-05-15	Strommen	D 1-1	53.3	1297	1155	61.93%	24.44%	13.63%	+1.64	-3.6	5
1988-05-15	@ Djerv 1919	D 1-1	53.3	1155	1297	13.63%	24.44%	61.93%	-1.64	+3.7	2
1988-05-15	Kongsvinger	W 2-1	45.3	1272	1274	46.32%	27.64%	26.05%	+0.57	+9.3	8
1988-05-15	@ Lillestrom	L 1-2	45.3	1274	1272	26.05%	27.64%	46.32%	-0.57	-9.3	4
1988-05-15	Moss	L 0-1	46.3	1246	1241	47.18%	27.55%	25.27%	+0.62	-15.6	5
1988-05-15	@ Tromso	W 1-0	46.3	1241	1246	25.27%	27.55%	47.18%	-0.62	+15.6	4
1988-05-16	Molde	L 1-4	44.2	1202	1258	39.01%	28.08%	32.92%	+0.16	-31.0	0
1988-05-16	@ Brann	W 4-1	44.2	1258	1202	32.92%	28.08%	39.01%	-0.16	+31.0	6
1988-05-16	Valerenga	W 3-0	34.7	1306	1268	51.11%	27.03%	21.86%	+0.86	+23.5	10
1988-05-16	@ Rosenborg	L 0-3	34.7	1268	1306	21.86%	27.03%	51.11%	-0.86	-23.5	7
1988-05-23	Brann	L 0-2	44.9	1217	1171	52.02%	26.88%	21.10%	+0.92	-31.9	3
1988-05-23	@ Bryne	W 2-0	44.9	1171	1217	21.10%	26.88%	52.02%	-0.92	+31.9	3
1988-05-23	Kongsvinger	L 0-2	44.9	1293	1264	50.06%	27.19%	22.76%	+0.79	-30.9	5
1988-05-23	@ Djerv 1919	W 2-0	44.9	1264	1293	22.76%	27.19%	50.06%	-0.79	+30.9	7
1988-05-23	Sogndal	W 4-1	40.9	1281	1290	45.35%	27.72%	26.92%	+0.51	+23.5	11
1988-05-23	@ Lillestrom	L 1-4	40.9	1290	1281	26.92%	27.72%	45.35%	-0.51	-23.5	8
1988-05-23	Strommen	W 2-0	33.9	1257	1158	57.73%	25.67%	16.60%	+1.31	+12.7	7
1988-05-23	@ Moss	L 0-2	33.9	1158	1257	16.60%	25.67%	57.73%	-1.31	-12.7	2
1988-05-23	Molde	W 4-2	45.3	1329	1289	51.37%	26.99%	21.64%	+0.88	+12.4	13
1988-05-23	@ Rosenborg	L 2-4	45.3	1289	1329	21.64%	26.99%	51.37%	-0.88	-12.4	6
1988-05-23	Valerenga	D 2-2	57.5	1231	1244	44.78%	27.77%	27.45%	+0.48	-0.9	6
1988-05-23	@ Tromso	D 2-2	57.5	1244	1231	27.45%	27.77%	44.78%	-0.48	+0.9	8
1988-05-29	Tromso	L 1-2	53.3	1295	1230	54.21%	26.48%	19.31%	+1.06	-16.5	7
1988-05-29	@ Kongsvinger	W 2-1	53.3	1230	1295	19.31%	26.48%	54.21%	-1.06	+16.5	9
1988-05-29	Djerv 1919	W 1-0	39.6	1277	1262	48.33%	27.42%	24.25%	+0.69	+9.3	9
1988-05-29	@ Molde	L 0-1	39.6	1262	1277	24.25%	27.42%	48.33%	-0.69	-9.3	5
1988-05-29	Rosenborg	D 0-0	48.5	1267	1341	36.38%	28.11%	35.51%	+0.02	-0.1	9
1988-05-29	@ Sogndal	D 0-0	48.5	1341	1267	35.51%	28.11%	36.38%	-0.02	+0.1	14
1988-05-29	Bryne	L 0-3	40.1	1146	1185	41.33%	27.99%	30.68%	+0.29	-38.4	2
1988-05-29	@ Strommen	W 3-0	40.1	1185	1146	30.68%	27.99%	41.33%	-0.29	+38.4	6
1988-05-29	Moss	L 0-2	42.9	1245	1269	43.37%	27.88%	28.75%	+0.40	-27.4	8
1988-05-29	@ Valerenga	W 2-0	42.9	1269	1245	28.75%	27.88%	43.37%	-0.40	+27.4	10
1988-05-30	Lillestrom	W 1-0	44.2	1203	1305	32.56%	28.07%	39.37%	-0.18	+13.5	6
1988-05-30	@ Brann	L 0-1	44.2	1305	1203	39.37%	28.07%	32.56%	+0.18	-13.5	11
1988-06-04	Kongsvinger	W 6-0	34.8	1297	1278	48.78%	27.36%	23.86%	+0.71	+48.3	13
1988-06-04	@ Moss	L 0-6	34.8	1278	1297	23.86%	27.36%	48.78%	-0.71	-48.3	7
1988-06-05	Lillestrom	L 2-3	53.2	1223	1291	37.30%	28.11%	34.60%	+0.07	-11.6	6
1988-06-05	@ Bryne	W 3-2	53.2	1291	1223	34.60%	28.11%	37.30%	-0.07	+11.6	14
1988-06-05	Sogndal	L 1-2	50.8	1253	1267	44.70%	27.78%	27.53%	+0.47	-14.0	5
1988-06-05	@ Djerv 1919	W 2-1	50.8	1267	1253	27.53%	27.78%	44.70%	-0.47	+14.1	12
1988-06-05	Brann	D 1-1	53.6	1342	1217	60.34%	24.94%	14.72%	+1.51	-3.4	15
1988-06-05	@ Rosenborg	D 1-1	53.6	1217	1342	14.72%	24.94%	60.34%	-1.51	+3.4	7
1988-06-05	Valerenga	L 2-5	44.3	1107	1218	31.38%	28.02%	40.60%	-0.25	-22.9	2
1988-06-05	@ Strommen	W 5-2	44.3	1218	1107	40.60%	28.02%	31.38%	+0.25	+22.8	11
1988-06-05	Molde	W 1-0	41.7	1246	1286	41.30%	27.99%	30.71%	+0.28	+11.2	12
1988-06-05	@ Tromso	L 0-1	41.7	1286	1246	30.71%	27.99%	41.30%	-0.28	-11.2	9
1988-06-19	Djerv 1919	D 1-1	52.3	1220	1239	44.08%	27.83%	28.09%	+0.44	-1.1	8
1988-06-19	@ Brann	D 1-1	52.3	1239	1220	28.09%	27.83%	44.08%	-0.44	+1.1	6
1988-06-19	Strommen	D 1-1	53.2	1230	1084	62.28%	24.32%	13.40%	+1.67	-3.7	8
1988-06-19	@ Kongsvinger	D 1-1	53.2	1084	1230	13.40%	24.32%	62.28%	-1.67	+3.7	3
1988-06-19	Rosenborg	W 4-1	42.4	1303	1338	41.88%	27.96%	30.15%	+0.32	+25.6	17
1988-06-19	@ Lillestrom	L 1-4	42.4	1338	1303	30.15%	27.96%	41.88%	-0.32	-25.6	15
1988-06-19	Moss	D 1-1	53.0	1275	1345	36.99%	28.11%	34.90%	+0.05	-0.1	10
1988-06-19	@ Molde	D 1-1	53.0	1345	1275	34.90%	28.11%	36.99%	-0.05	+0.1	14
1988-06-19	Tromso	W 2-1	44.3	1281	1258	49.38%	27.28%	23.34%	+0.75	+8.5	15
1988-06-19	@ Sogndal	L 1-2	44.3	1258	1281	23.34%	27.28%	49.38%	-0.75	-8.5	12
1988-06-19	Bryne	W 1-0	38.8	1241	1212	50.09%	27.18%	22.73%	+0.80	+8.9	14
1988-06-19	@ Valerenga	L 0-1	38.8	1212	1241	22.73%	27.18%	50.09%	-0.80	-8.9	6
1988-06-26	Rosenborg	L 1-3	44.5	1203	1312	31.49%	28.03%	40.49%	-0.24	-18.7	6
1988-06-26	@ Bryne	W 3-1	44.5	1312	1203	40.49%	28.03%	31.49%	+0.24	+18.7	18
1988-06-26	Lillestrom	L 1-2	48.0	1240	1328	34.36%	28.10%	37.53%	-0.08	-11.5	6
1988-06-26	@ Djerv 1919	W 2-1	48.0	1328	1240	37.53%	28.10%	34.36%	+0.08	+11.5	20
1988-06-26	Sogndal	W 1-0	38.7	1345	1289	53.18%	26.68%	20.14%	+0.99	+8.0	17
1988-06-26	@ Moss	L 0-1	38.7	1289	1345	20.14%	26.68%	53.18%	-0.99	-8.0	15
1988-06-26	Molde	D 0-0	48.0	1088	1275	22.49%	27.14%	50.37%	-0.81	+2.2	4
1988-06-26	@ Strommen	D 0-0	48.0	1275	1088	50.37%	27.14%	22.49%	+0.81	-2.2	11
1988-06-26	Brann	W 2-0	36.3	1249	1219	50.24%	27.16%	22.60%	+0.81	+16.6	15
1988-06-26	@ Tromso	L 0-2	36.3	1219	1249	22.60%	27.16%	50.24%	-0.81	-16.6	8
1988-06-26	Kongsvinger	W 2-0	36.6	1249	1226	49.36%	27.28%	23.36%	+0.75	+17.1	17
1988-06-26	@ Valerenga	L 0-2	36.6	1226	1249	23.36%	27.28%	49.36%	-0.75	-17.1	8
1988-07-03	Moss	D 0-0	48.3	1202	1353	26.36%	27.67%	45.98%	-0.55	+1.5	9
1988-07-03	@ Brann	D 0-0	48.3	1353	1202	45.98%	27.67%	26.36%	+0.55	-1.5	18
1988-07-03	Kongsvinger	D 0-0	47.8	1184	1209	43.20%	27.89%	28.91%	+0.39	-1.1	7
1988-07-03	@ Bryne	D 0-0	47.8	1209	1184	28.91%	27.89%	43.20%	-0.39	+1.1	9
1988-07-03	Tromso	W 2-0	35.4	1340	1266	55.20%	26.27%	18.53%	+1.13	+14.0	23
1988-07-03	@ Lillestrom	L 0-2	35.4	1266	1340	18.53%	26.27%	55.20%	-1.13	-14.0	15
1988-07-03	Valerenga	D 2-2	57.8	1272	1267	47.24%	27.54%	25.22%	+0.62	-1.2	12
1988-07-03	@ Molde	D 2-2	57.8	1267	1272	25.22%	27.54%	47.24%	-0.62	+1.1	18
1988-07-03	Djerv 1919	W 8-0	32.6	1331	1228	58.18%	25.56%	16.26%	+1.35	+45.4	21
1988-07-03	@ Rosenborg	L 0-8	32.6	1228	1331	16.26%	25.56%	58.18%	-1.35	-45.4	6
1988-07-03	Strommen	W 1-0	33.8	1281	1090	66.22%	22.84%	10.94%	+2.00	+4.4	18
1988-07-03	@ Sogndal	L 0-1	33.8	1090	1281	10.94%	22.84%	66.22%	-2.00	-4.4	4
1988-07-10	Djerv 1919	W 5-2	42.5	1183	1183	46.52%	27.62%	25.87%	+0.58	+19.7	10
1988-07-10	@ Bryne	L 2-5	42.5	1183	1183	25.87%	27.62%	46.52%	-0.58	-19.7	6
1988-07-10	Molde	D 0-0	47.9	1210	1271	38.34%	28.09%	33.57%	+0.13	-0.3	10
1988-07-10	@ Kongsvinger	D 0-0	47.9	1271	1210	33.57%	28.09%	38.34%	-0.13	+0.3	13
1988-07-10	Lillestrom	D 1-1	54.0	1352	1354	46.21%	27.65%	26.14%	+0.56	-1.4	19
1988-07-10	@ Moss	D 1-1	54.0	1354	1352	26.14%	27.65%	46.21%	-0.56	+1.4	24
1988-07-10	Brann	W 2-0	42.0	1086	1204	30.42%	27.98%	41.60%	-0.30	+26.5	7
1988-07-10	@ Strommen	L 0-2	42.0	1204	1086	41.60%	27.98%	30.42%	+0.30	-26.5	9
1988-07-10	Rosenborg	L 1-2	46.9	1252	1377	29.54%	27.93%	42.53%	-0.35	-10.3	15
1988-07-10	@ Tromso	W 2-1	46.9	1377	1252	42.53%	27.93%	29.54%	+0.35	+10.3	24
1988-07-10	Sogndal	D 1-1	52.7	1268	1286	44.17%	27.82%	28.01%	+0.44	-1.1	19
1988-07-10	@ Valerenga	D 1-1	52.7	1286	1268	28.01%	27.82%	44.17%	-0.44	+1.1	19
1988-07-24	Sogndal	D 0-0	48.0	1210	1287	36.06%	28.11%	35.83%	+0.01	-0.0	11
1988-07-24	@ Kongsvinger	D 0-0	48.0	1287	1210	35.83%	28.11%	36.06%	-0.01	+0.0	20
1988-07-24	Bryne	W 6-2	37.7	1272	1203	54.64%	26.39%	18.97%	+1.09	+19.2	16
1988-07-24	@ Molde	L 2-6	37.7	1203	1272	18.97%	26.39%	54.64%	-1.09	-19.2	10
1988-07-24	Rosenborg	W 2-1	48.5	1350	1387	41.69%	27.97%	30.33%	+0.31	+10.5	22
1988-07-24	@ Moss	L 1-2	48.5	1387	1350	30.33%	27.97%	41.69%	-0.31	-10.5	24
1988-07-24	Lillestrom	D 0-0	48.5	1112	1355	17.41%	25.94%	56.64%	-1.23	+3.2	8
1988-07-24	@ Strommen	D 0-0	48.5	1355	1112	56.64%	25.94%	17.41%	+1.23	-3.2	25
1988-07-24	Djerv 1919	W 2-1	42.1	1242	1163	55.64%	26.17%	18.18%	+1.16	+6.9	18
1988-07-24	@ Tromso	L 1-2	42.1	1163	1242	18.18%	26.17%	55.64%	-1.16	-6.9	6
1988-07-24	Brann	D 1-1	52.9	1267	1177	56.81%	25.90%	17.29%	+1.25	-2.9	20
1988-07-24	@ Valerenga	D 1-1	52.9	1177	1267	17.29%	25.90%	56.81%	-1.25	+2.9	10
1988-07-31	Kongsvinger	L 1-2	49.9	1180	1210	42.58%	27.93%	29.49%	+0.35	-13.5	10
1988-07-31	@ Brann	W 2-1	49.9	1210	1180	29.49%	27.93%	42.58%	-0.35	+13.5	14
1988-07-31	Tromso	W 2-0	40.0	1183	1248	37.74%	28.10%	34.16%	+0.09	+22.9	13
1988-07-31	@ Bryne	L 0-2	40.0	1248	1183	34.16%	28.10%	37.74%	-0.09	-22.9	18
1988-07-31	Moss	W 1-0	47.8	1156	1361	20.74%	26.81%	52.45%	-0.95	+17.0	9
1988-07-31	@ Djerv 1919	L 0-1	47.8	1361	1156	52.45%	26.81%	20.74%	+0.95	-17.0	22
1988-07-31	Valerenga	L 0-1	49.3	1352	1264	56.71%	25.93%	17.37%	+1.24	-18.2	25
1988-07-31	@ Lillestrom	W 1-0	49.3	1264	1352	17.37%	25.93%	56.71%	-1.24	+18.2	23
1988-07-31	Strommen	W 3-1	35.0	1376	1116	71.61%	20.35%	8.03%	+2.52	+5.1	27
1988-07-31	@ Rosenborg	L 1-3	35.0	1116	1376	8.03%	20.35%	71.61%	-2.52	-5.1	8
1988-07-31	Molde	D 1-1	52.9	1287	1291	46.02%	27.66%	26.31%	+0.55	-1.4	21
1988-07-31	@ Sogndal	D 1-1	52.9	1291	1287	26.31%	27.66%	46.02%	-0.55	+1.4	17
1988-08-07	Lillestrom	D 0-0	48.2	1224	1334	31.42%	28.02%	40.56%	-0.24	+0.7	15
1988-08-07	@ Kongsvinger	D 0-0	48.2	1334	1224	40.56%	28.02%	31.42%	+0.24	-0.7	26
1988-08-07	Brann	W 2-0	33.2	1292	1167	60.40%	24.93%	14.68%	+1.52	+11.3	20
1988-08-07	@ Molde	L 0-2	33.2	1167	1292	14.68%	24.93%	60.40%	-1.52	-11.3	10
1988-08-07	Tromso	L 1-2	54.7	1344	1225	59.70%	25.13%	15.17%	+1.46	-18.0	22
1988-08-07	@ Moss	W 2-1	54.7	1225	1344	15.17%	25.13%	59.70%	-1.46	+18.0	21
1988-08-07	Bryne	W 3-2	46.8	1286	1206	55.74%	26.15%	18.11%	+1.17	+6.5	24
1988-08-07	@ Sogndal	L 2-3	46.8	1206	1286	18.11%	26.15%	55.74%	-1.17	-6.5	13
1988-08-07	Djerv 1919	W 5-0	37.0	1110	1173	38.05%	28.10%	33.86%	+0.11	+53.3	11
1988-08-07	@ Strommen	L 0-5	37.0	1173	1110	33.86%	28.10%	38.05%	-0.11	-53.3	9
1988-08-07	Rosenborg	D 0-0	49.0	1282	1382	32.86%	28.07%	39.07%	-0.16	+0.5	24
1988-08-07	@ Valerenga	D 0-0	49.0	1382	1282	39.07%	28.07%	32.86%	+0.16	-0.5	28
1988-08-14	Sogndal	W 1-0	45.4	1155	1292	28.04%	27.82%	44.13%	-0.44	+14.8	13
1988-08-14	@ Brann	L 0-1	45.4	1292	1155	44.13%	27.82%	28.04%	+0.44	-14.8	24
1988-08-14	Moss	L 0-1	41.2	1200	1326	29.39%	27.92%	42.69%	-0.36	-10.9	13
1988-08-14	@ Bryne	W 1-0	41.2	1326	1200	42.69%	27.92%	29.39%	+0.36	+10.9	25
1988-08-14	Valerenga	W 2-0	43.7	1120	1282	25.06%	27.52%	47.42%	-0.63	+29.5	12
1988-08-14	@ Djerv 1919	L 0-2	43.7	1282	1120	47.42%	27.52%	25.06%	+0.63	-29.5	24
1988-08-14	Molde	L 0-1	47.9	1333	1303	50.18%	27.17%	22.65%	+0.80	-16.4	26
1988-08-14	@ Lillestrom	W 1-0	47.9	1303	1333	22.65%	27.17%	50.18%	-0.80	+16.4	23
1988-08-14	Kongsvinger	W 1-0	35.5	1381	1224	63.26%	23.98%	12.76%	+1.75	+5.2	31
1988-08-14	@ Rosenborg	L 0-1	35.5	1224	1381	12.76%	23.98%	63.26%	-1.75	-5.2	15
1988-08-14	Strommen	W 2-0	34.5	1243	1164	55.79%	26.14%	18.07%	+1.17	+13.7	24
1988-08-14	@ Tromso	L 0-2	34.5	1164	1243	18.07%	26.14%	55.79%	-1.17	-13.7	11
1988-08-21	Bryne	W 1-0	40.4	1170	1189	44.06%	27.83%	28.11%	+0.44	+10.5	16
1988-08-21	@ Brann	L 0-1	40.4	1189	1170	28.11%	27.83%	44.06%	-0.44	-10.5	13
1988-08-21	Djerv 1919	W 6-0	32.4	1219	1150	54.70%	26.38%	18.92%	+1.10	+39.7	18
1988-08-21	@ Kongsvinger	L 0-6	32.4	1150	1219	18.92%	26.38%	54.70%	-1.10	-39.7	12
1988-08-21	Rosenborg	L 2-4	51.3	1320	1386	37.54%	28.10%	34.36%	+0.08	-19.0	23
1988-08-21	@ Molde	W 4-2	51.3	1386	1320	34.36%	28.10%	37.54%	-0.08	+19.0	34
1988-08-21	Lillestrom	W 3-1	44.6	1277	1317	41.30%	27.99%	30.71%	+0.28	+18.4	27
1988-08-21	@ Sogndal	L 1-3	44.6	1317	1277	30.71%	27.99%	41.30%	-0.28	-18.4	26
1988-08-21	Moss	L 0-1	38.8	1150	1337	22.49%	27.14%	50.37%	-0.81	-8.8	11
1988-08-21	@ Strommen	W 1-0	38.8	1337	1150	50.37%	27.14%	22.49%	+0.81	+8.8	28
1988-08-21	Tromso	L 1-3	48.7	1253	1257	45.97%	27.67%	26.36%	+0.55	-24.9	24
1988-08-21	@ Valerenga	W 3-1	48.7	1257	1253	26.36%	27.67%	45.97%	-0.55	+24.9	27
1988-08-28	Strommen	W 1-0	38.3	1178	1141	51.05%	27.04%	21.91%	+0.86	+8.6	16
1988-08-28	@ Bryne	L 0-1	38.3	1141	1178	21.91%	27.04%	51.05%	-0.86	-8.6	11
1988-08-28	Molde	L 0-1	38.5	1110	1301	22.05%	27.07%	50.88%	-0.85	-8.6	12
1988-08-28	@ Djerv 1919	W 1-0	38.5	1301	1110	50.88%	27.07%	22.05%	+0.85	+8.7	26
1988-08-28	Brann	W 4-1	36.2	1299	1181	59.66%	25.14%	15.19%	+1.46	+14.3	29
1988-08-28	@ Lillestrom	L 1-4	36.2	1181	1299	15.19%	25.14%	59.66%	-1.46	-14.3	16
1988-08-28	Valerenga	W 2-0	33.9	1345	1228	59.61%	25.16%	15.23%	+1.45	+11.7	31
1988-08-28	@ Moss	L 0-2	33.9	1228	1345	15.23%	25.16%	59.61%	-1.45	-11.7	24
1988-08-28	Sogndal	W 3-2	47.3	1405	1296	58.84%	25.38%	15.78%	+1.40	+5.7	37
1988-08-28	@ Rosenborg	L 2-3	47.3	1296	1405	15.78%	25.38%	58.84%	-1.40	-5.7	27
1988-08-28	Kongsvinger	D 1-1	52.8	1282	1259	49.39%	27.28%	23.33%	+0.75	-1.8	28
1988-08-28	@ Tromso	D 1-1	52.8	1259	1282	23.33%	27.28%	49.39%	-0.75	+1.8	19
1988-09-03	Moss	W 3-0	40.3	1261	1357	33.28%	28.08%	38.64%	-0.14	+36.4	22
1988-09-03	@ Kongsvinger	L 0-3	40.3	1357	1261	38.64%	28.08%	33.28%	+0.14	-36.4	31
1988-09-04	Rosenborg	L 0-4	32.2	1166	1411	17.28%	25.90%	56.82%	-1.25	-25.0	16
1988-09-04	@ Brann	W 4-0	32.2	1411	1166	56.82%	25.90%	17.28%	+1.25	+25.0	40
1988-09-04	Bryne	D 1-1	53.3	1313	1187	60.41%	24.92%	14.67%	+1.52	-3.4	30
1988-09-04	@ Lillestrom	D 1-1	53.3	1187	1313	14.67%	24.92%	60.41%	-1.52	+3.4	17
1988-09-04	Tromso	D 0-0	48.7	1309	1280	50.11%	27.18%	22.71%	+0.80	-2.2	27
1988-09-04	@ Molde	D 0-0	48.7	1280	1309	22.71%	27.18%	50.11%	-0.80	+2.2	29
1988-09-04	Djerv 1919	W 4-1	34.1	1290	1101	66.02%	22.92%	11.06%	+1.99	+10.3	30
1988-09-04	@ Sogndal	L 1-4	34.1	1101	1290	11.06%	22.92%	66.02%	-1.99	-10.3	12
1988-09-04	Strommen	W 4-0	31.7	1216	1133	56.20%	26.05%	17.75%	+1.20	+25.6	27
1988-09-04	@ Valerenga	L 0-4	31.7	1133	1216	17.75%	26.05%	56.20%	-1.20	-25.6	11
1988-09-10	Sogndal	D 1-1	52.8	1282	1300	44.19%	27.82%	27.99%	+0.44	-1.1	30
1988-09-10	@ Tromso	D 1-1	52.8	1300	1282	27.99%	27.82%	44.19%	-0.44	+1.1	31
1988-09-11	Valerenga	W 6-1	39.3	1190	1242	39.65%	28.06%	32.29%	+0.20	+42.6	20
1988-09-11	@ Bryne	L 1-6	39.3	1242	1190	32.29%	28.06%	39.65%	-0.20	-42.6	27
1988-09-11	Brann	L 0-1	43.9	1091	1141	39.79%	28.05%	32.16%	+0.20	-13.6	12
1988-09-11	@ Djerv 1919	W 1-0	43.9	1141	1091	32.16%	28.05%	39.79%	-0.20	+13.6	19
1988-09-11	Molde	L 0-2	44.9	1321	1307	48.19%	27.43%	24.38%	+0.68	-29.9	31
1988-09-11	@ Moss	W 2-0	44.9	1307	1321	24.38%	27.43%	48.19%	-0.68	+29.9	30
1988-09-11	Lillestrom	D 1-1	55.5	1436	1309	60.50%	24.89%	14.61%	+1.52	-3.4	41
1988-09-11	@ Rosenborg	D 1-1	55.5	1309	1436	14.61%	24.89%	60.50%	-1.52	+3.4	31
1988-09-11	Kongsvinger	W 1-0	47.1	1107	1297	22.15%	27.08%	50.77%	-0.84	+16.6	14
1988-09-11	@ Strommen	L 0-1	47.1	1297	1107	50.77%	27.08%	22.15%	+0.84	-16.6	22
1988-09-24	Djerv 1919	W 8-1	29.4	1313	1077	69.74%	21.28%	8.98%	+2.34	+17.8	34
1988-09-24	@ Lillestrom	L 1-8	29.4	1077	1313	8.98%	21.28%	69.74%	-2.34	-17.8	12
1988-09-25	Tromso	W 1-0	45.0	1155	1281	29.34%	27.92%	42.74%	-0.36	+14.4	22
1988-09-25	@ Brann	L 0-1	45.0	1281	1155	42.74%	27.92%	29.34%	+0.36	-14.4	30
1988-09-25	Valerenga	W 2-0	34.6	1280	1199	55.94%	26.11%	17.95%	+1.18	+13.6	25
1988-09-25	@ Kongsvinger	L 0-2	34.6	1199	1280	17.95%	26.11%	55.94%	-1.18	-13.6	27
1988-09-25	Strommen	W 3-0	29.2	1337	1124	68.03%	22.07%	9.90%	+2.17	+10.9	33
1988-09-25	@ Molde	L 0-3	29.2	1124	1337	9.90%	22.07%	68.03%	-2.17	-10.9	14
1988-09-25	Bryne	W 2-1	40.0	1433	1233	66.90%	22.56%	10.54%	+2.07	+4.0	44
1988-09-25	@ Rosenborg	L 1-2	40.0	1233	1433	10.54%	22.56%	66.90%	-2.07	-4.0	20
1988-09-25	Moss	L 0-4	41.9	1301	1291	47.85%	27.47%	24.68%	+0.66	-56.4	31
1988-09-25	@ Sogndal	W 4-0	41.9	1291	1301	24.68%	27.47%	47.85%	-0.66	+56.4	34
1988-10-02	Rosenborg	L 1-6	30.8	1059	1437	9.54%	21.77%	68.69%	-2.23	-14.0	12
1988-10-02	@ Djerv 1919	W 6-1	30.8	1437	1059	68.69%	21.77%	9.54%	+2.23	+13.9	47
1988-10-02	Bryne	W 1-0	37.8	1294	1229	54.20%	26.48%	19.32%	+1.06	+7.7	28
1988-10-02	@ Kongsvinger	L 0-1	37.8	1229	1294	19.32%	26.48%	54.20%	-1.06	-7.7	20
1988-10-02	Brann	W 2-1	39.5	1347	1169	65.10%	23.29%	11.61%	+1.91	+4.5	37
1988-10-02	@ Moss	L 1-2	39.5	1169	1347	11.61%	23.29%	65.10%	-1.91	-4.5	22
1988-10-02	Sogndal	W 2-1	50.1	1113	1245	28.60%	27.87%	43.54%	-0.41	+13.8	17
1988-10-02	@ Strommen	L 1-2	50.1	1245	1113	43.54%	27.87%	28.60%	+0.41	-13.8	31
1988-10-02	Lillestrom	L 0-1	44.2	1267	1331	37.92%	28.10%	33.98%	+0.10	-13.1	30
1988-10-02	@ Tromso	W 1-0	44.2	1331	1267	33.98%	28.10%	37.92%	-0.10	+13.1	37
1988-10-02	Molde	L 0-2	37.4	1186	1348	25.06%	27.52%	47.42%	-0.63	-18.1	27
1988-10-02	@ Valerenga	W 2-0	37.4	1348	1186	47.42%	27.52%	25.06%	+0.63	+18.1	36
1988-10-09	Strommen	W 1-0	38.2	1165	1126	51.18%	27.02%	21.80%	+0.86	+8.6	25
1988-10-09	@ Brann	L 0-1	38.2	1126	1165	21.80%	27.02%	51.18%	-0.86	-8.5	17
1988-10-09	Bryne	D 1-1	52.2	1045	1221	23.60%	27.32%	49.08%	-0.73	+1.8	13
1988-10-09	@ Djerv 1919	D 1-1	52.2	1221	1045	49.08%	27.32%	23.60%	+0.73	-1.8	21
1988-10-09	Moss	W 3-1	44.3	1344	1352	45.50%	27.71%	26.79%	+0.52	+16.5	40
1988-10-09	@ Lillestrom	L 1-3	44.3	1352	1344	26.79%	27.71%	45.50%	-0.52	-16.5	37
1988-10-09	Kongsvinger	W 4-1	39.0	1366	1302	54.13%	26.49%	19.38%	+1.06	+17.9	39
1988-10-09	@ Molde	L 1-4	39.0	1302	1366	19.38%	26.49%	54.13%	-1.06	-17.9	28
1988-10-09	Tromso	L 1-2	57.3	1451	1254	66.68%	22.65%	10.67%	+2.05	-19.7	47
1988-10-09	@ Rosenborg	W 2-1	57.3	1254	1451	10.67%	22.65%	66.68%	-2.05	+19.7	33
1988-10-09	Valerenga	L 0-1	47.9	1231	1168	54.06%	26.51%	19.43%	+1.05	-17.5	31
1988-10-09	@ Sogndal	W 1-0	47.9	1168	1231	19.43%	26.51%	54.06%	-1.05	+17.5	30

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
#	Date	Underdog Win %	Team	Elo	Score	Team	Elo	Score
1	1988-10-09	10.67%	Tromso	1254	2	@ Rosenborg	1451	1
2	1988-08-07	15.17%	Tromso	1225	2	@ Moss	1344	1
3	1988-07-31	17.37%	Valerenga	1264	1	@ Lillestrom	1352	0
4	1988-05-29	19.31%	Tromso	1230	2	@ Kongsvinger	1295	1
5	1988-10-09	19.43%	Valerenga	1168	1	@ Sogndal	1231	0
6	1988-07-31	20.74%	@ Djerv 1919	1156	1	Moss	1361	0
7	1988-05-23	21.10%	Brann	1171	2	@ Bryne	1217	0
8	1988-09-11	22.15%	@ Strommen	1107	1	Kongsvinger	1297	0
9	1988-08-14	22.65%	Molde	1303	1	@ Lillestrom	1333	0
10	1988-05-23	22.76%	Kongsvinger	1264	2	@ Djerv 1919	1293	0
11	1988-09-11	24.38%	Molde	1307	2	@ Moss	1321	0
12	1988-09-25	24.68%	Moss	1291	4	@ Sogndal	1301	0
13	1988-08-14	25.06%	@ Djerv 1919	1120	2	Valerenga	1282	0
14	1988-05-15	25.27%	Moss	1241	1	@ Tromso	1246	0
15	1988-05-01	26.33%	Valerenga	1244	2	@ Brann	1240	1
16	1988-08-21	26.36%	Tromso	1257	3	@ Valerenga	1253	1
17	1988-06-05	27.53%	Sogndal	1267	2	@ Djerv 1919	1253	1
18	1988-08-14	28.04%	@ Brann	1155	1	Sogndal	1292	0
19	1988-10-02	28.60%	@ Strommen	1113	2	Sogndal	1245	1
20	1988-05-29	28.75%	Moss	1269	2	@ Valerenga	1245	0
21	1988-09-25	29.34%	@ Brann	1155	1	Tromso	1281	0
22	1988-07-31	29.49%	Kongsvinger	1210	2	@ Brann	1180	1
23	1988-05-08	30.30%	Djerv 1919	1293	1	@ Moss	1257	0
24	1988-07-10	30.42%	@ Strommen	1086	2	Brann	1204	0
25	1988-05-29	30.68%	Bryne	1185	3	@ Strommen	1146	0

Biggest Elo Changes

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

#	Date	Elo Δ	Winning Team				Losing Team				Tie %
#	Date	Elo Δ	Team	Score	Elo	Win %	Team	Score	Elo	Win %	Tie %
1	1988-09-25	56.39	Moss	4	1291	24.68%	@ Sogndal	0	1301	47.85%	27.47%
2	1988-08-07	53.29	@ Strommen	5	1110	38.05%	Djerv 1919	0	1173	33.86%	28.10%
3	1988-06-04	48.31	@ Moss	6	1297	48.78%	Kongsvinger	0	1278	23.86%	27.36%
4	1988-07-03	45.41	@ Rosenborg	8	1331	58.18%	Djerv 1919	0	1228	16.26%	25.56%
5	1988-09-11	42.63	@ Bryne	6	1190	39.65%	Valerenga	1	1242	32.29%	28.06%
6	1988-08-21	39.66	@ Kongsvinger	6	1219	54.70%	Djerv 1919	0	1150	18.92%	26.38%
7	1988-05-29	38.36	Bryne	3	1185	30.68%	@ Strommen	0	1146	41.33%	27.99%
8	1988-09-03	36.44	@ Kongsvinger	3	1261	33.28%	Moss	0	1357	38.64%	28.08%
9	1988-05-08	34.12	Rosenborg	3	1271	36.60%	@ Strommen	0	1188	35.29%	28.11%
10	1988-05-23	31.90	Brann	2	1171	21.10%	@ Bryne	0	1217	52.02%	26.88%
11	1988-05-16	30.96	Molde	4	1258	32.92%	@ Brann	1	1202	39.01%	28.08%
12	1988-05-23	30.87	Kongsvinger	2	1264	22.76%	@ Djerv 1919	0	1293	50.06%	27.19%
13	1988-09-11	29.90	Molde	2	1307	24.38%	@ Moss	0	1321	48.19%	27.43%
14	1988-05-08	29.60	@ Tromso	3	1217	42.94%	Bryne	0	1244	29.15%	27.90%
15	1988-08-14	29.49	@ Djerv 1919	2	1120	25.06%	Valerenga	0	1282	47.42%	27.52%
16	1988-05-29	27.43	Moss	2	1269	28.75%	@ Valerenga	0	1245	43.37%	27.88%
17	1988-07-10	26.55	@ Strommen	2	1086	30.42%	Brann	0	1204	41.60%	27.98%
18	1988-06-19	25.61	@ Lillestrom	4	1303	41.88%	Rosenborg	1	1338	30.15%	27.96%
19	1988-09-04	25.58	@ Valerenga	4	1216	56.20%	Strommen	0	1133	17.75%	26.05%
20	1988-09-04	24.96	Rosenborg	4	1411	56.82%	@ Brann	0	1166	17.28%	25.90%
21	1988-08-21	24.90	Tromso	3	1257	26.36%	@ Valerenga	1	1253	45.97%	27.67%
22	1988-05-16	23.49	@ Rosenborg	3	1306	51.11%	Valerenga	0	1268	21.86%	27.03%
23	1988-05-23	23.47	@ Lillestrom	4	1281	45.35%	Sogndal	1	1290	26.92%	27.72%
24	1988-07-31	22.94	@ Bryne	2	1183	37.74%	Tromso	0	1248	34.16%	28.10%
25	1988-06-05	22.85	Valerenga	5	1218	40.60%	@ Strommen	2	1107	31.38%	28.02%

Most & Least Exciting Games

The season’s games ranked by excitement rating (0–100) — a blend of closeness, upset, team quality, and scoring. An asterisk (*) after the date indicates a playoff game.

#	Date	Excitement	Winning Team				Losing Team				Tie %
#	Date	Excitement	Team	Score	Elo	Win %	Team	Score	Elo	Win %	Tie %
1	1988-07-03	57.8	@ Molde	2	1272	47.24%	Valerenga	2	1267	25.22%	27.54%
2	1988-05-23	57.5	@ Tromso	2	1231	44.78%	Valerenga	2	1244	27.45%	27.77%
3	1988-10-09	57.3	Tromso	2	1254	10.67%	@ Rosenborg	1	1451	66.68%	22.65%
4	1988-09-11	55.5	@ Rosenborg	1	1436	60.50%	Lillestrom	1	1309	14.61%	24.89%
5	1988-08-07	54.7	Tromso	2	1225	15.17%	@ Moss	1	1344	59.70%	25.13%
6	1988-07-10	54.0	@ Moss	1	1352	46.21%	Lillestrom	1	1354	26.14%	27.65%
7	1988-06-05	53.6	@ Rosenborg	1	1342	60.34%	Brann	1	1217	14.72%	24.94%
8	1988-05-15	53.3	@ Djerv 1919	1	1297	61.93%	Strommen	1	1155	13.63%	24.44%
9	1988-05-29	53.3	Tromso	2	1230	19.31%	@ Kongsvinger	1	1295	54.21%	26.48%
10	1988-09-04	53.3	@ Lillestrom	1	1313	60.41%	Bryne	1	1187	14.67%	24.92%
11	1988-06-05	53.2	Lillestrom	3	1291	34.60%	@ Bryne	2	1223	37.30%	28.11%
12	1988-06-19	53.2	@ Kongsvinger	1	1230	62.28%	Strommen	1	1084	13.40%	24.32%
13	1988-05-01	53.0	@ Djerv 1919	1	1296	56.02%	Tromso	1	1214	17.89%	26.09%
14	1988-06-19	53.0	@ Molde	1	1275	36.99%	Moss	1	1345	34.90%	28.11%
15	1988-07-24	52.9	@ Valerenga	1	1267	56.81%	Brann	1	1177	17.29%	25.90%
16	1988-07-31	52.9	@ Sogndal	1	1287	46.02%	Molde	1	1291	26.31%	27.66%
17	1988-05-12	52.8	@ Kongsvinger	1	1274	42.55%	Rosenborg	1	1305	29.52%	27.93%
18	1988-08-28	52.8	@ Tromso	1	1282	49.39%	Kongsvinger	1	1259	23.33%	27.28%
19	1988-09-10	52.8	@ Tromso	1	1282	44.19%	Sogndal	1	1300	27.99%	27.82%
20	1988-07-10	52.7	@ Valerenga	1	1268	44.17%	Sogndal	1	1286	28.01%	27.82%
21	1988-05-08	52.6	@ Molde	1	1261	44.77%	Sogndal	1	1274	27.45%	27.77%
22	1988-05-12	52.5	@ Moss	1	1243	49.98%	Bryne	1	1215	22.82%	27.20%
23	1988-05-15	52.4	@ Bryne	1	1217	36.53%	Sogndal	1	1290	35.36%	28.11%
24	1988-06-19	52.3	@ Brann	1	1220	44.08%	Djerv 1919	1	1239	28.09%	27.83%
25	1988-10-09	52.2	@ Djerv 1919	1	1045	23.60%	Bryne	1	1221	49.08%	27.32%

#	Date	Excitement	Winning Team				Losing Team				Tie %
#	Date	Excitement	Team	Score	Elo	Win %	Team	Score	Elo	Win %	Tie %
1	1988-09-25	29.2	@ Molde	3	1337	68.03%	Strommen	0	1124	9.90%	22.07%
2	1988-09-24	29.4	@ Lillestrom	8	1313	69.74%	Djerv 1919	1	1077	8.98%	21.28%
3	1988-10-02	30.8	Rosenborg	6	1437	68.69%	@ Djerv 1919	1	1059	9.54%	21.77%
4	1988-09-04	31.7	@ Valerenga	4	1216	56.20%	Strommen	0	1133	17.75%	26.05%
5	1988-09-04	32.2	Rosenborg	4	1411	56.82%	@ Brann	0	1166	17.28%	25.90%
6	1988-08-21	32.4	@ Kongsvinger	6	1219	54.70%	Djerv 1919	0	1150	18.92%	26.38%
7	1988-07-03	32.6	@ Rosenborg	8	1331	58.18%	Djerv 1919	0	1228	16.26%	25.56%
8	1988-08-07	33.2	@ Molde	2	1292	60.40%	Brann	0	1167	14.68%	24.93%
9	1988-07-03	33.8	@ Sogndal	1	1281	66.22%	Strommen	0	1090	10.94%	22.84%
10	1988-05-23	33.9	@ Moss	2	1257	57.73%	Strommen	0	1158	16.60%	25.67%
11	1988-08-28	33.9	@ Moss	2	1345	59.61%	Valerenga	0	1228	15.23%	25.16%
12	1988-09-04	34.1	@ Sogndal	4	1290	66.02%	Djerv 1919	1	1101	11.06%	22.92%
13	1988-08-14	34.5	@ Tromso	2	1243	55.79%	Strommen	0	1164	18.07%	26.14%
14	1988-09-25	34.6	@ Kongsvinger	2	1280	55.94%	Valerenga	0	1199	17.95%	26.11%
15	1988-05-16	34.7	@ Rosenborg	3	1306	51.11%	Valerenga	0	1268	21.86%	27.03%
16	1988-06-04	34.8	@ Moss	6	1297	48.78%	Kongsvinger	0	1278	23.86%	27.36%
17	1988-07-31	35.0	@ Rosenborg	3	1376	71.61%	Strommen	1	1116	8.03%	20.35%
18	1988-05-12	35.4	@ Sogndal	2	1275	53.47%	Brann	0	1217	19.91%	26.62%
19	1988-07-03	35.4	@ Lillestrom	2	1340	55.20%	Tromso	0	1266	18.53%	26.27%
20	1988-08-14	35.5	@ Rosenborg	1	1381	63.26%	Kongsvinger	0	1224	12.76%	23.98%
21	1988-08-28	36.2	@ Lillestrom	4	1299	59.66%	Brann	1	1181	15.19%	25.14%
22	1988-06-26	36.3	@ Tromso	2	1249	50.24%	Brann	0	1219	22.60%	27.16%
23	1988-06-26	36.6	@ Valerenga	2	1249	49.36%	Kongsvinger	0	1226	23.36%	27.28%
24	1988-05-08	36.7	@ Tromso	3	1217	42.94%	Bryne	0	1244	29.15%	27.90%
25	1988-08-07	37.0	@ Strommen	5	1110	38.05%	Djerv 1919	0	1173	33.86%	28.10%