U17 Weltmeisterschaft 1993 @ Japan

Fase de Grupos

Group A

#	Mannschaft	SP	S	U	N	T+	T-	Diff	P	P/M	S%	ØT+	ØT-
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

#	Mannschaft	SP	S	U	N	T+	T-	Diff	P	P/M	S%	ØT+	ØT-
1.	Nigeria U17	3	3	0	0	14	0	+14	9	3.00	100%	4.67	0.00
2.	Australia U17	3	1	1	1	7	4	+3	4	1.33	33%	2.33	1.33
3.	Argentinien 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

#	Mannschaft	SP	S	U	N	T+	T-	Diff	P	P/M	S%	ØT+	ØT-
1.	Tschechoslowakei 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.	Kolumbien 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

#	Mannschaft	SP	S	U	N	T+	T-	Diff	P	P/M	S%	ØT+	ØT-
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.	Tunisia U17	3	1	0	2	2	5	-3	3	1.00	33%	0.67	1.67
4.	China U17	3	0	1	2	2	5	-3	1	0.33	0%	0.67	1.67

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Samstag 4. September 1993

U17 Weltmeisterschaft - Playoffs - Bronze		1993	Quoten 1x2
Chile U17	2 - 1 i.E.	Polen U17
U17 Weltmeisterschaft - Playoffs - Finals		1993	Quoten 1x2
Ghana U17	1 - 2	Nigeria U17

Mittwoch 1. September 1993

U17 Weltmeisterschaft - Playoffs - 1/2 Finals		1993	Quoten 1x2
Ghana U17	3 - 0	Chile U17
Nigeria U17	2 - 1	Polen U17

Sonntag 29. August 1993

U17 Weltmeisterschaft - Playoffs - 1/4 Finals		1993	Quoten 1x2
Tschechoslowakei U17	1 - 4	Chile U17
Ghana U17	1 - 0 n.V.	Australia U17
Nigeria U17	2 - 1	Japan U17
Polen U17	3 - 0	USA U17

Donnerstag 26. August 1993

U17 Weltmeisterschaft - Group A		1993	Quoten 1x2
Ghana U17	4 - 0	Italien U17
Japan U17	2 - 1	Mexiko U17
U17 Weltmeisterschaft - Group B		1993	Quoten 1x2
Argentinien U17	5 - 0	Kanada U17
Australia U17	0 - 2	Nigeria U17
U17 Weltmeisterschaft - Group C		1993	Quoten 1x2
Kolumbien U17	1 - 3	Tschechoslowakei U17
Qatar U17	1 - 5	USA U17
U17 Weltmeisterschaft - Group D		1993	Quoten 1x2
Chile U17	3 - 3	Polen U17
China U17	0 - 1	Tunisia U17

Dienstag 24. August 1993

U17 Weltmeisterschaft - Group A		1993	Quoten 1x2
Ghana U17	4 - 1	Mexiko U17
Japan U17	0 - 0	Italien U17
U17 Weltmeisterschaft - Group B		1993	Quoten 1x2
Argentinien U17	0 - 4	Nigeria U17
Australia U17	5 - 0	Kanada U17
U17 Weltmeisterschaft - Group C		1993	Quoten 1x2
Kolumbien U17	2 - 1	USA U17
Qatar U17	0 - 2	Tschechoslowakei U17
U17 Weltmeisterschaft - Group D		1993	Quoten 1x2
Chile U17	2 - 0	Tunisia U17
China U17	0 - 2	Polen U17

Sonntag 22. August 1993

U17 Weltmeisterschaft - Group A		1993	Quoten 1x2
Italien U17	1 - 2	Mexiko U17
U17 Weltmeisterschaft - Group B		1993	Quoten 1x2
Australia U17	2 - 2	Argentinien U17
Kanada U17	0 - 8	Nigeria U17
U17 Weltmeisterschaft - Group C		1993	Quoten 1x2
Kolumbien U17	0 - 2	Qatar U17
USA U17	2 - 2	Tschechoslowakei U17
U17 Weltmeisterschaft - Group D		1993	Quoten 1x2
Chile U17	2 - 2	China U17
Tunisia U17	1 - 3	Polen U17

Samstag 21. August 1993

U17 Weltmeisterschaft - Group A		1993	Quoten 1x2
Japan U17	0 - 1	Ghana U17

Mehr Ergebnisse

September 1993
August 1993

Argentinien U17
Australia U17
Chile U17
China U17
Ghana U17
Italien U17
Japan U17
Kanada U17
Kolumbien U17
Mexiko U17
Nigeria U17
Polen U17
Qatar U17
Tschechoslowakei U
Tunisia U17
USA U17

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Die letzten 6 Matchs

#	Mannschaft	SP	S	U	N	T+	T-	Diff	P	P/M	S%	ØT+	ØT-
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.	Tschechoslowakei U17	4	2	1	1	8	7	+1	7	1.75	50%	2.00	1.75
6.	Australia U17	4	1	1	1	7	5	+2	4	1.00	25%	1.75	1.00
7.	Argentinien 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.	Kolumbien U17	3	1	0	2	3	6	-3	3	1.00	33%	1.00	2.00
12.	Tunisia 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.	China 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

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

AnnaBet Powerratings

Aktualisiert 2025-03-22 11:31:52

#	Mannschaft	Powerrating
1.	Italien U17	1452
2.	Japan U17	1418
3.	USA U17	1371
4.	Mexiko U17	1335
5.	Argentinien U17	1305
6.	Ghana U17	1204
7.	Nigeria U17	1192
8.	Polen U17	1189
9.	Kanada U17	1186
10.	Australia U17	1164
11.	China U17	1003
12.	Tunisia U17	981
13.	Kolumbien U17	964
14.	Qatar U17	951
15.	Chile U17	945
16.	Tschechoslowakei 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.