U17-världsmästerskapet 1993 @ Japan

Fase de Grupos

Group A

#	Lag	S	V	O	F	GM	IM	Diff	P	Pts/G	V%	ØGM	ØIM
1.	Ghana U17	3	3	0	0	9	1	+8	9	3.00	100%	3.00	0.33
2.	Japan U17	3	1	1	1	2	2	0	4	1.33	33%	0.67	0.67
3.	Mexiko U17	3	1	0	2	4	7	-3	3	1.00	33%	1.33	2.33
4.	Italien U17	3	0	1	2	1	6	-5	1	0.33	0%	0.33	2.00

Group B

#	Lag	S	V	O	F	GM	IM	Diff	P	Pts/G	V%	ØGM	ØIM
1.	Nigeria U17	3	3	0	0	14	0	+14	9	3.00	100%	4.67	0.00
2.	Australien U17	3	1	1	1	7	4	+3	4	1.33	33%	2.33	1.33
3.	Argentina U17	3	1	1	1	7	6	+1	4	1.33	33%	2.33	2.00
4.	Kanada U17	3	0	0	3	0	18	-18	0	0.00	0%	0.00	6.00

Group C

#	Lag	S	V	O	F	GM	IM	Diff	P	Pts/G	V%	ØGM	ØIM
1.	Czechoslovakia U17	3	2	1	0	7	3	+4	7	2.33	67%	2.33	1.00
2.	USA U17	3	1	1	1	8	5	+3	4	1.33	33%	2.67	1.67
3.	Colombia U17	3	1	0	2	3	6	-3	3	1.00	33%	1.00	2.00
4.	Qatar U17	3	1	0	2	3	7	-4	3	1.00	33%	1.00	2.33

Group D

#	Lag	S	V	O	F	GM	IM	Diff	P	Pts/G	V%	ØGM	ØIM
1.	Polen U17	3	2	1	0	8	4	+4	7	2.33	67%	2.67	1.33
2.	Chile U17	3	1	2	0	7	5	+2	5	1.67	33%	2.33	1.67
3.	Tunisien U17	3	1	0	2	2	5	-3	3	1.00	33%	0.67	1.67
4.	Kina U17	3	0	1	2	2	5	-3	1	0.33	0%	0.67	1.67

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Lördag 4. september 1993

U17-världsmästerskapet - Playoffs - Bronze		1993	Odds 1x2
Chile U17	2 - 1 pen	Polen U17
U17-världsmästerskapet - Playoffs - Finals		1993	Odds 1x2
Ghana U17	1 - 2	Nigeria U17

Onsdag 1. september 1993

U17-världsmästerskapet - Playoffs - 1/2 Finals		1993	Odds 1x2
Ghana U17	3 - 0	Chile U17
Nigeria U17	2 - 1	Polen U17

Söndag 29. augusti 1993

U17-världsmästerskapet - Playoffs - 1/4 Finals		1993	Odds 1x2
Czechoslovakia U17	1 - 4	Chile U17
Ghana U17	1 - 0 AET	Australien U17
Nigeria U17	2 - 1	Japan U17
Polen U17	3 - 0	USA U17

Torsdag 26. augusti 1993

U17-världsmästerskapet - Group A		1993	Odds 1x2
Ghana U17	4 - 0	Italien U17
Japan U17	2 - 1	Mexiko U17
U17-världsmästerskapet - Group B		1993	Odds 1x2
Argentina U17	5 - 0	Kanada U17
Australien U17	0 - 2	Nigeria U17
U17-världsmästerskapet - Group C		1993	Odds 1x2
Colombia U17	1 - 3	Czechoslovakia U17
Qatar U17	1 - 5	USA U17
U17-världsmästerskapet - Group D		1993	Odds 1x2
Chile U17	3 - 3	Polen U17
Kina U17	0 - 1	Tunisien U17

Tisdag 24. augusti 1993

U17-världsmästerskapet - Group A		1993	Odds 1x2
Ghana U17	4 - 1	Mexiko U17
Japan U17	0 - 0	Italien U17
U17-världsmästerskapet - Group B		1993	Odds 1x2
Argentina U17	0 - 4	Nigeria U17
Australien U17	5 - 0	Kanada U17
U17-världsmästerskapet - Group C		1993	Odds 1x2
Colombia U17	2 - 1	USA U17
Qatar U17	0 - 2	Czechoslovakia U17
U17-världsmästerskapet - Group D		1993	Odds 1x2
Chile U17	2 - 0	Tunisien U17
Kina U17	0 - 2	Polen U17

Söndag 22. augusti 1993

U17-världsmästerskapet - Group A		1993	Odds 1x2
Italien U17	1 - 2	Mexiko U17
U17-världsmästerskapet - Group B		1993	Odds 1x2
Australien U17	2 - 2	Argentina U17
Kanada U17	0 - 8	Nigeria U17
U17-världsmästerskapet - Group C		1993	Odds 1x2
Colombia U17	0 - 2	Qatar U17
USA U17	2 - 2	Czechoslovakia U17
U17-världsmästerskapet - Group D		1993	Odds 1x2
Chile U17	2 - 2	Kina U17
Tunisien U17	1 - 3	Polen U17

Lördag 21. augusti 1993

U17-världsmästerskapet - Group A		1993	Odds 1x2
Japan U17	0 - 1	Ghana U17

Flera resultat

september 1993
augusti 1993

Argentina U17
Australien U17
Chile U17
Colombia U17
Czechoslovakia U17
Ghana U17
Italien U17
Japan U17
Kanada U17
Kina U17
Mexiko U17
Nigeria U17
Polen U17
Qatar U17
Tunisien U17
USA U17

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Senaste 6 matcher

#	Lag	S	V	O	F	GM	IM	Diff	P	Pts/G	V%	ØGM	ØIM
1.	Nigeria U17	6	6	0	0	20	3	+17	18	3.00	100%	3.33	0.50
2.	Ghana U17	6	4	0	1	14	3	+11	12	2.00	83%	2.17	0.50
3.	Polen U17	6	3	1	1	13	8	+5	10	1.67	50%	2.17	1.17
4.	Chile U17	6	2	2	1	13	10	+3	8	1.33	50%	2.00	1.67
5.	Czechoslovakia U17	4	2	1	1	8	7	+1	7	1.75	50%	2.00	1.75
6.	Australien U17	4	1	1	1	7	5	+2	4	1.00	25%	1.75	1.00
7.	Argentina U17	3	1	1	1	7	6	+1	4	1.33	33%	2.33	2.00
8.	USA U17	4	1	1	2	8	8	0	4	1.00	25%	2.00	2.00
9.	Japan U17	4	1	1	2	3	4	-1	4	1.00	25%	0.75	1.00
10.	Mexiko U17	3	1	0	2	4	7	-3	3	1.00	33%	1.33	2.33
11.	Colombia U17	3	1	0	2	3	6	-3	3	1.00	33%	1.00	2.00
12.	Tunisien U17	3	1	0	2	2	5	-3	3	1.00	33%	0.67	1.67
13.	Qatar U17	3	1	0	2	3	7	-4	3	1.00	33%	1.00	2.33
14.	Kina U17	3	0	1	2	2	5	-3	1	0.33	0%	0.67	1.67
15.	Italien U17	3	0	1	2	1	6	-5	1	0.33	0%	0.33	2.00
16.	Kanada U17	3	0	0	3	0	18	-18	0	0.00	0%	0.00	6.00

Säsong		Matcher	1	x	2	¦	1	2	¦	Över 2.5	Under 2.5	Över 1.5	Under 1.5	Hemfördel
2023	Group Stage	36	44.4%	13.9%	41.7%	¦	51.6%	48.4%	¦	72.2%	27.8%	91.7%	8.3%	3.2%
2023	Playoff	16	43.8%	25.0%	31.3%	¦	62.5%	37.5%	¦	68.8%	31.3%	75.0%	25.0%	25.0%
2019	Group Stage	36	44.4%	11.1%	44.4%	¦	50.0%	50.0%	¦	72.2%	27.8%	83.3%	16.7%	0.0%
2019	Playoff	16	31.3%	6.3%	62.5%	¦	37.5%	62.5%	¦	62.5%	37.5%	81.3%	18.8%	-25.0%
2017	Group Stage	36	44.4%	13.9%	41.7%	¦	51.6%	48.4%	¦	72.2%	27.8%	88.9%	11.1%	3.2%
2017	Playoff	16	50.0%	6.3%	43.8%	¦	56.3%	43.8%	¦	81.3%	18.8%	93.8%	6.3%	12.5%
2015	Group Stage	36	25.0%	25.0%	50.0%	¦	33.3%	66.7%	¦	55.6%	44.4%	80.6%	19.4%	-33.3%
2015	Playoff	16	50.0%	6.3%	43.8%	¦	50.0%	50.0%	¦	50.0%	50.0%	75.0%	25.0%	0.0%
2013	Group Stage	36	41.7%	19.4%	38.9%	¦	51.7%	48.3%	¦	63.9%	36.1%	77.8%	22.2%	3.4%
2013	Playoff	16	50.0%	6.3%	43.8%	¦	50.0%	50.0%	¦	75.0%	25.0%	93.8%	6.3%	0.0%
2011	Group Stage	36	41.7%	25.0%	33.3%	¦	55.6%	44.4%	¦	52.8%	47.2%	77.8%	22.2%	11.1%
2011	Playoff	16	56.3%	6.3%	37.5%	¦	62.5%	37.5%	¦	68.8%	31.3%	100.0%	0.0%	25.0%
2009	Group Stage	36	52.8%	19.4%	27.8%	¦	65.5%	34.5%	¦	44.4%	55.6%	69.4%	30.6%	31.0%
2009	Playoff	16	37.5%	31.3%	31.3%	¦	53.3%	46.7%	¦	62.5%	37.5%	81.3%	18.8%	6.7%
2007	Group Stage	36	41.7%	19.4%	38.9%	¦	51.7%	48.3%	¦	61.1%	38.9%	80.6%	19.4%	3.4%
2007	Playoff	16	50.0%	31.3%	18.8%	¦	62.5%	37.5%	¦	43.8%	56.3%	87.5%	12.5%	25.0%
2005	Group Stage	24	20.8%	25.0%	54.2%	¦	27.8%	72.2%	¦	54.2%	45.8%	91.7%	8.3%	-44.4%
2005	Playoff	8	50.0%	25.0%	25.0%	¦	62.5%	37.5%	¦	62.5%	37.5%	100.0%	0.0%	25.0%
2003	Group Stage	24	25.0%	29.2%	45.8%	¦	35.3%	64.7%	¦	58.3%	41.7%	91.7%	8.3%	-29.4%
2003	Playoff	8	62.5%	25.0%	12.5%	¦	62.5%	37.5%	¦	37.5%	62.5%	87.5%	12.5%	25.0%
2001	Group Stage	24	16.7%	8.3%	75.0%	¦	18.2%	81.8%	¦	62.5%	37.5%	79.2%	20.8%	-63.6%
2001	Playoff	8	50.0%	12.5%	37.5%	¦	62.5%	37.5%	¦	50.0%	50.0%	87.5%	12.5%	25.0%
1999	Group Stage	24	37.5%	29.2%	33.3%	¦	52.9%	47.1%	¦	54.2%	45.8%	70.8%	29.2%	5.9%
1999	Playoff	8	25.0%	50.0%	25.0%	¦	37.5%	62.5%	¦	62.5%	37.5%	75.0%	25.0%	-25.0%
1997	Group Stage	24	37.5%	12.5%	50.0%	¦	42.9%	57.1%	¦	66.7%	33.3%	83.3%	16.7%	-14.3%
1997	Playoff	8	50.0%	12.5%	37.5%	¦	62.5%	37.5%	¦	75.0%	25.0%	87.5%	12.5%	25.0%
1995	Group Stage	24	54.2%	16.7%	29.2%	¦	65.0%	35.0%	¦	50.0%	50.0%	83.3%	16.7%	30.0%
1995	Playoff	8	62.5%	0.0%	37.5%	¦	62.5%	37.5%	¦	75.0%	25.0%	100.0%	0.0%	25.0%
1993	Group Stage	24	29.2%	20.8%	50.0%	¦	36.8%	63.2%	¦	66.7%	33.3%	87.5%	12.5%	-26.3%
1993	Playoff	8	50.0%	25.0%	25.0%	¦	75.0%	25.0%	¦	75.0%	25.0%	87.5%	12.5%	50.0%
1991	Group Stage	24	33.3%	20.8%	45.8%	¦	42.1%	57.9%	¦	45.8%	54.2%	62.5%	37.5%	-15.8%
1991	Playoff	8	25.0%	37.5%	37.5%	¦	25.0%	75.0%	¦	37.5%	62.5%	62.5%	37.5%	-50.0%

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

AnnaBet Power Ratings

Updated 2025-03-22 11:31:52

#	Lag	Rating
1.	Italien U17	1452
2.	Japan U17	1418
3.	USA U17	1371
4.	Mexiko U17	1335
5.	Argentina U17	1305
6.	Ghana U17	1204
7.	Nigeria U17	1192
8.	Polen U17	1189
9.	Kanada U17	1186
10.	Australien U17	1164
11.	Kina U17	1003
12.	Tunisien U17	981
13.	Colombia U17	964
14.	Qatar U17	951
15.	Chile U17	945
16.	Czechoslovakia U17

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.