U20-världsmästerskapet 1989 @ Saudi Arabia

Lohkovaihe

Group A

#	Lag	S	V	O	F	GM	IM	Diff	P	Pts/G	V%	ØGM	ØIM
1.	Portugal U20	3	2	0	1	2	3	-1	6	2.00	67%	0.67	1.00
2.	Nigeria U20	3	1	1	1	3	3	0	4	1.33	33%	1.00	1.00
3.	Czechoslovakia U20	3	1	1	1	2	2	0	4	1.33	33%	0.67	0.67
4.	Saudi Arabia U20	3	1	0	2	4	3	+1	3	1.00	33%	1.33	1.00

Group B

#	Lag	S	V	O	F	GM	IM	Diff	P	Pts/G	V%	ØGM	ØIM
1.	Soviet Union U20	3	3	0	0	7	2	+5	9	3.00	100%	2.33	0.67
2.	Colombia U20	3	1	0	2	3	4	-1	3	1.00	33%	1.00	1.33
3.	Syria U20	3	1	0	2	4	6	-2	3	1.00	33%	1.33	2.00
4.	Costa Rica U20	3	1	0	2	2	4	-2	3	1.00	33%	0.67	1.33

Group C

#	Lag	S	V	O	F	GM	IM	Diff	P	Pts/G	V%	ØGM	ØIM
1.	Brasilien U20	3	3	0	0	10	1	+9	9	3.00	100%	3.33	0.33
2.	USA U20	3	1	1	1	4	4	0	4	1.33	33%	1.33	1.33
3.	German Democratic Re	3	1	0	2	3	4	-1	3	1.00	33%	1.00	1.33
4.	Mali U20	3	0	1	2	1	9	-8	1	0.33	0%	0.33	3.00

Group D

#	Lag	S	V	O	F	GM	IM	Diff	P	Pts/G	V%	ØGM	ØIM
1.	Irak U20	3	3	0	0	4	0	+4	9	3.00	100%	1.33	0.00
2.	Argentina U20	3	1	0	2	3	3	0	3	1.00	33%	1.00	1.00
3.	Norge U20	3	1	0	2	4	5	-1	3	1.00	33%	1.33	1.67
4.	Spanien U20	3	1	0	2	4	7	-3	3	1.00	33%	1.33	2.33

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Fredag 3. mars 1989

U20-världsmästerskapet - Playoffs - Bronze		1989	Odds 1x2
Brasilien U20	2 - 0	USA U20
U20-världsmästerskapet - Playoffs - Finals		1989	Odds 1x2
Portugal U20	2 - 0	Nigeria U20

Tisdag 28. februari 1989

U20-världsmästerskapet - Playoffs - 1/2 Finals		1989	Odds 1x2
Nigeria U20	2 - 1 AET	USA U20
Portugal U20	1 - 0	Brasilien U20

Lördag 25. februari 1989

U20-världsmästerskapet - Playoffs - 1/4 Finals		1989	Odds 1x2
Brasilien U20	1 - 0	Argentina U20
Irak U20	1 - 2	USA U20
Portugal U20	1 - 0	Colombia U20
Soviet Union U20	4 - 5 pen	Nigeria U20

Onsdag 22. februari 1989

U20-världsmästerskapet - Group A		1989	Odds 1x2
Nigeria U20	1 - 1	Czechoslovakia U20
Saudi Arabia U20	3 - 0	Portugal U20
U20-världsmästerskapet - Group B		1989	Odds 1x2
Colombia U20	1 - 3	Soviet Union U20
Costa Rica U20	1 - 3	Syria U20
U20-världsmästerskapet - Group C		1989	Odds 1x2
Brasilien U20	3 - 1	USA U20
German Democratic Repub	3 - 0	Mali U20
U20-världsmästerskapet - Group D		1989	Odds 1x2
Irak U20	1 - 0	Argentina U20
Norge U20	4 - 2	Spanien U20

Måndag 20. februari 1989

U20-världsmästerskapet - Group A		1989	Odds 1x2
Nigeria U20	0 - 1	Portugal U20
U20-världsmästerskapet - Group B		1989	Odds 1x2
Colombia U20	2 - 0	Syria U20
U20-världsmästerskapet - Group C		1989	Odds 1x2
German Democratic Repub	0 - 2	USA U20
U20-världsmästerskapet - Group D		1989	Odds 1x2
Irak U20	2 - 0	Spanien U20

Söndag 19. februari 1989

U20-världsmästerskapet - Group A		1989	Odds 1x2
Saudi Arabia U20	0 - 1	Czechoslovakia U20
U20-världsmästerskapet - Group B		1989	Odds 1x2
Costa Rica U20	0 - 1	Soviet Union U20
U20-världsmästerskapet - Group C		1989	Odds 1x2
Brasilien U20	5 - 0	Mali U20
U20-världsmästerskapet - Group D		1989	Odds 1x2
Norge U20	0 - 2	Argentina U20

Fredag 17. februari 1989

U20-världsmästerskapet - Group A		1989	Odds 1x2
Czechoslovakia U20	0 - 1	Portugal U20
U20-världsmästerskapet - Group B		1989	Odds 1x2
Costa Rica U20	1 - 0	Colombia U20
Soviet Union U20	3 - 1	Syria U20
U20-världsmästerskapet - Group C		1989	Odds 1x2
Brasilien U20	2 - 0	German Democratic Repub
Mali U20	1 - 1	USA U20
U20-världsmästerskapet - Group D		1989	Odds 1x2
Argentina U20	1 - 2	Spanien U20
Norge U20	0 - 1	Irak U20

Torsdag 16. februari 1989

U20-världsmästerskapet - Group A		1989	Odds 1x2
Saudi Arabia U20	1 - 2	Nigeria U20

Flera resultat

mars 1989
februari 1989

Argentina U20
Brasilien U20
Colombia U20
Costa Rica U20
Czechoslovakia U20
German Democratic
Irak U20
Mali U20
Nigeria U20
Norge U20
Portugal U20
Saudi Arabia U20
Soviet Union U20
Spanien U20
Syria U20
USA U20

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Senaste 6 matcher

#	Lag	S	V	O	F	GM	IM	Diff	P	Pts/G	V%	ØGM	ØIM
1.	Brasilien U20	6	5	0	1	13	2	+11	15	2.50	83%	2.17	0.33
2.	Portugal U20	6	5	0	1	6	3	+3	15	2.50	83%	1.00	0.50
3.	Soviet Union U20	4	3	0	0	11	7	+4	9	2.25	75%	2.75	1.50
4.	Irak U20	4	3	0	1	5	2	+3	9	2.25	75%	1.25	0.50
5.	USA U20	6	2	1	2	7	9	-2	7	1.17	33%	1.17	1.33
6.	Nigeria U20	6	1	1	2	10	10	0	4	0.67	50%	1.33	1.67
7.	Czechoslovakia U20	3	1	1	1	2	2	0	4	1.33	33%	0.67	0.67
8.	Saudi Arabia U20	3	1	0	2	4	3	+1	3	1.00	33%	1.33	1.00
9.	Norge U20	3	1	0	2	4	5	-1	3	1.00	33%	1.33	1.67
10.	German Democratic Re	3	1	0	2	3	4	-1	3	1.00	33%	1.00	1.33
11.	Argentina U20	4	1	0	3	3	4	-1	3	0.75	25%	0.75	1.00
12.	Syria U20	3	1	0	2	4	6	-2	3	1.00	33%	1.33	2.00
13.	Colombia U20	4	1	0	3	3	5	-2	3	0.75	25%	0.75	1.25
14.	Costa Rica U20	3	1	0	2	2	4	-2	3	1.00	33%	0.67	1.33
15.	Spanien U20	3	1	0	2	4	7	-3	3	1.00	33%	1.33	2.33
16.	Mali U20	3	0	1	2	1	9	-8	1	0.33	0%	0.33	3.00

Säsong		Matcher	1	x	2	¦	1	2	¦	Över 2.5	Under 2.5	Över 1.5	Under 1.5	Hemfördel
2023	Group Stage	36	38.9%	16.7%	44.4%	¦	46.7%	53.3%	¦	63.9%	36.1%	80.6%	19.4%	-6.7%
2023	Playoff	16	43.8%	12.5%	43.8%	¦	56.3%	43.8%	¦	50.0%	50.0%	68.8%	31.3%	12.5%
2019	Group Stage	36	36.1%	16.7%	47.2%	¦	43.3%	56.7%	¦	41.7%	58.3%	77.8%	22.2%	-13.3%
2019	Playoff	16	37.5%	25.0%	37.5%	¦	50.0%	50.0%	¦	50.0%	50.0%	62.5%	37.5%	0.0%
2017	Group Stage	36	44.4%	25.0%	30.6%	¦	59.3%	40.7%	¦	47.2%	52.8%	72.2%	27.8%	18.5%
2017	Playoff	16	25.0%	43.8%	31.3%	¦	50.0%	50.0%	¦	50.0%	50.0%	56.3%	43.8%	0.0%
2015	Group Stage	36	36.1%	16.7%	47.2%	¦	43.3%	56.7%	¦	66.7%	33.3%	86.1%	13.9%	-13.3%
2015	Playoff	16	25.0%	50.0%	25.0%	¦	56.3%	43.8%	¦	25.0%	75.0%	62.5%	37.5%	12.5%
2013	Group Stage	36	30.6%	25.0%	44.4%	¦	40.7%	59.3%	¦	61.1%	38.9%	83.3%	16.7%	-18.5%
2013	Playoff	16	31.3%	43.8%	25.0%	¦	62.5%	37.5%	¦	62.5%	37.5%	81.3%	18.8%	25.0%
2011	Group Stage	36	47.2%	25.0%	27.8%	¦	63.0%	37.0%	¦	38.9%	61.1%	66.7%	33.3%	25.9%
2011	Playoff	16	56.3%	37.5%	6.3%	¦	87.5%	12.5%	¦	37.5%	62.5%	68.8%	31.3%	75.0%
2009	Group Stage	36	47.2%	19.4%	33.3%	¦	58.6%	41.4%	¦	66.7%	33.3%	83.3%	16.7%	17.2%
2009	Playoff	16	25.0%	43.8%	31.3%	¦	50.0%	50.0%	¦	43.8%	56.3%	87.5%	12.5%	0.0%
2007	Group Stage	36	36.1%	27.8%	36.1%	¦	50.0%	50.0%	¦	47.2%	52.8%	69.4%	30.6%	0.0%
2007	Playoff	16	31.3%	37.5%	31.3%	¦	56.3%	43.8%	¦	50.0%	50.0%	68.8%	31.3%	12.5%
2005	Group Stage	36	47.2%	19.4%	33.3%	¦	58.6%	41.4%	¦	47.2%	52.8%	75.0%	25.0%	17.2%
2005	Playoff	16	50.0%	18.8%	31.3%	¦	62.5%	37.5%	¦	68.8%	31.3%	81.3%	18.8%	25.0%
2003	Group Stage	36	38.9%	22.2%	38.9%	¦	50.0%	50.0%	¦	38.9%	61.1%	63.9%	36.1%	0.0%
2003	Playoff	16	31.3%	37.5%	31.3%	¦	50.0%	50.0%	¦	18.8%	81.3%	56.3%	43.8%	0.0%
2001	Group Stage	36	27.8%	22.2%	50.0%	¦	35.7%	64.3%	¦	52.8%	47.2%	75.0%	25.0%	-28.6%
2001	Playoff	16	50.0%	0.0%	50.0%	¦	50.0%	50.0%	¦	62.5%	37.5%	81.3%	18.8%	0.0%
1999	Group Stage	36	47.2%	16.7%	36.1%	¦	56.7%	43.3%	¦	55.6%	44.4%	75.0%	25.0%	13.3%
1999	Playoff	16	43.8%	31.3%	25.0%	¦	62.5%	37.5%	¦	62.5%	37.5%	93.8%	6.3%	25.0%
1997	Group Stage	36	27.8%	25.0%	47.2%	¦	37.0%	63.0%	¦	61.1%	38.9%	80.6%	19.4%	-25.9%
1997	Playoff	16	31.3%	25.0%	43.8%	¦	50.0%	50.0%	¦	43.8%	56.3%	75.0%	25.0%	0.0%
1995	Group Stage	24	29.2%	25.0%	45.8%	¦	38.9%	61.1%	¦	50.0%	50.0%	83.3%	16.7%	-22.2%
1995	Playoff	8	50.0%	12.5%	37.5%	¦	62.5%	37.5%	¦	50.0%	50.0%	87.5%	12.5%	25.0%
1993	Group Stage	24	33.3%	29.2%	37.5%	¦	47.1%	52.9%	¦	50.0%	50.0%	79.2%	20.8%	-5.9%
1993	Playoff	8	37.5%	25.0%	37.5%	¦	50.0%	50.0%	¦	62.5%	37.5%	87.5%	12.5%	0.0%
1991	Group Stage	24	41.7%	29.2%	29.2%	¦	58.8%	41.2%	¦	41.7%	58.3%	62.5%	37.5%	17.6%
1991	Playoff	8	37.5%	50.0%	12.5%	¦	75.0%	25.0%	¦	37.5%	62.5%	75.0%	25.0%	50.0%
1989	Group Stage	24	45.8%	8.3%	45.8%	¦	50.0%	50.0%	¦	41.7%	58.3%	70.8%	29.2%	0.0%
1989	Playoff	8	62.5%	25.0%	12.5%	¦	75.0%	25.0%	¦	25.0%	75.0%	62.5%	37.5%	50.0%
1987	Group Stage	24	45.8%	16.7%	37.5%	¦	55.0%	45.0%	¦	54.2%	45.8%	79.2%	20.8%	10.0%
1987	Playoff	8	37.5%	37.5%	25.0%	¦	75.0%	25.0%	¦	37.5%	62.5%	87.5%	12.5%	50.0%
1985	Group Stage	24	29.2%	29.2%	41.7%	¦	41.2%	58.8%	¦	45.8%	54.2%	75.0%	25.0%	-17.6%
1985	Playoff	8	37.5%	37.5%	25.0%	¦	62.5%	37.5%	¦	37.5%	62.5%	62.5%	37.5%	25.0%
1983	Group Stage	24	50.0%	16.7%	33.3%	¦	60.0%	40.0%	¦	58.3%	41.7%	79.2%	20.8%	20.0%
1983	Playoff	8	25.0%	25.0%	50.0%	¦	37.5%	62.5%	¦	37.5%	62.5%	62.5%	37.5%	-25.0%
1981	Group Stage	24	29.2%	33.3%	37.5%	¦	43.8%	56.3%	¦	41.7%	58.3%	66.7%	33.3%	-12.5%
1981	Playoff	8	62.5%	12.5%	25.0%	¦	62.5%	37.5%	¦	62.5%	37.5%	62.5%	37.5%	25.0%
1979	Group Stage	24	45.8%	16.7%	37.5%	¦	55.0%	45.0%	¦	45.8%	54.2%	66.7%	33.3%	10.0%
1979	Playoff	8	37.5%	50.0%	12.5%	¦	62.5%	37.5%	¦	37.5%	62.5%	62.5%	37.5%	25.0%
1977	Group Stage	24	41.7%	25.0%	33.3%	¦	55.6%	44.4%	¦	41.7%	58.3%	70.8%	29.2%	11.1%
1977	Playoff	4	25.0%	75.0%	0.0%	¦	50.0%	50.0%	¦	50.0%	50.0%	75.0%	25.0%	0.0%

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Låt muspekaren vila över procent (%) för att se värde odds

AnnaBet Power Ratings

Updated 2025-04-21 11:25:15

#	Lag	Rating
1.	USA U20	1438
2.	Brasilien U20	1360
3.	Colombia U20	1345
4.	Spanien U20	1336
5.	Nigeria U20	1326
6.	Argentina U20	1308
7.	Costa Rica U20	1238
8.	Irak U20	1210
9.	Saudi Arabia U20	1157
10.	Mali U20	1154
11.	Portugal U20	1133
12.	Syria U20	1123
13.	Norge U20	1111
14.	Soviet Union U20
15.	Czechoslovakia U20
16.	German Democratic Republic U20

Our ratings are currently calculated from games played after 1.1.2000

In football our ratings are similar to World Football Elo Ratings but we have tuned up the formula. For example when goal difference is low or game is tied and we have shots on goal statistics available for the game, we’ll then analyze the shots ratio to have some effect on the ratings. For example if a game was tied 1-1 but home team outshoot away team by 10-2 you might say the home team was the better team despite the result.

In ice hockey the ratings are similar but we have taken account the higher number of goals scored and “home” team (first mentioned team) line change advantage. For example if ice hockey game Sweden – Finland was played at Finland but Sweden had the line change advantage it is then taken account when calculating ratings.

Some examples how ratings are adjusted after each game

In the beginning each team has starting rating of 1000 points. After each game played the sum of points change is 0: if home team gets +20 points then away team gets -20 pts deducted. Amount is always based on the weight/importance of the tournament: in friendlies teams get much less points than in World Cup finals.

Two equal teams meet: winner gets some decent points and loser looses the same amount. Example +20 / -20.
Heavy favorite (much higher rating) wins by few goals: gets only few points because it was very expected result. Your points rises very slowly by beating much poorer teams than you. Example +3 / -3.
Heavy favorite ties a game: favorite loses small amount of points because it was expected that the team should win, the opponent get some points. Example -3 / +3 points.
Heavy favorite loses a game: loses lots of rating points, winner gets lots of points. Example -40 / +40.

Sample Winning Expectancies

Difference in Ratings	Higher Rated	Lower Rated
0	0.500	0.500
10	0.514	0.486
20	0.529	0.471
30	0.543	0.457
40	0.557	0.443
50	0.571	0.429
60	0.585	0.415
70	0.599	0.401
80	0.613	0.387
90	0.627	0.373
100	0.640	0.360
110	0.653	0.347
120	0.666	0.334
130	0.679	0.321
140	0.691	0.309
150	0.703	0.297
160	0.715	0.285
170	0.727	0.273
180	0.738	0.262
190	0.749	0.251
200	0.760	0.240

Table by Eloratings.net

Why are Power Ratings better than winning percentage or league table?

Let’s say we have 2 teams whose performance we are analyzing: Finland and Sweden. Both teams have played 8 games and Finland has 6 wins and 2 losses, Sweden 5 wins and 3 losses. You might say Finland is the better team based on that info? What if Finland has won 4 games against poor teams, 2 against mediocre and lost 2 against better teams. Sweden on the other hand had win 3 games against better teams, 2 against mediocre and then 3 narrow losses against mediocre teams. Putting it that way, you might not believe Finland should be a favorite here after all. Would our Power Ratings tell you the exactly same thing:

Finland starting rating 1000:

1. game 4-0 win against poor team +10 pts (1010)
2. game 3-1 win against poor team +6 pts (1016)
3. game 0-2 loss against better team -10 pts (1006)
4. game 4-3 win against mediocre team +15 pts (1021)
5. game 5-3 win against mediocre team +18 pts (1039)
6. game 3-5 loss against better team -10 pts (1029)
7. game 2-0 win against poor team +6 pts (1035)
8. game 5-2 win against poor team +8 pts (1043)
Current rating 1043

Sweden starting rating 1000:

1. game 3-2 win against better team +25 pts (1025)
2. game 2-3 loss against mediocre team -12 pts (1013)
3. game 4-2 win against better team +30 pts (1043)
4. game 3-0 win against mediocre team +20 pts (1063)
5. game 3-5 loss against mediocre team -15 pts (1048)
6. game 3-4 loss against mediocre team -12 pts (1036)
7. game 4-1 win against better team +35 pts (1071)
8. game 3-1 win against mediocre team +16 pts (1087)
Current rating 1087

These are just rough examples for you to get the idea.

Finland vs Sweden Power Ratings: 1043 – 1087, ratings difference 44 and by looking at the table above you can see that this game should be about Finland 46% winning chance and Sweden 54%. Note that home advantage is usually about 100 points so 46%-54% would be only at neutral venue.

It is not always about how many games you have won but rather which teams and by how many goals that tells more about your true Power. But still remember these are only computer calculated estimations and does not take account real world situations like injuries, weather etc. Also note Power Ratings being much less accurate when teams have a big difference between number of games played and/or quality/diversity of tournaments where they have played.

For example in ice hockey USA and Canada plays only few friendly matches before major tournaments and European teams plays a lots of smaller tournaments - and also playing many games against couple of selected opponents only. Smaller tournaments and friendly matches makes of course smaller changes to Power Ratings than major tournaments but when you play a lot of smaller games it can add up.