World Cup Qualifiers | AnnaBet.com

Ligastatistiken
Ergebnisse
Kondition
Kommende Matchs
Saison
Spezialstatistiken
Powerratings

Alle Matchs
Heim
Auswärts

#	Mannschaft	SP	S	U	N	T+	T-	Diff	P	P/M	S%	ØT+	ØT-
1.	Südkorea	10	8	2	0	29	1	+28	26	2.60	80%	2.90	0.10
2.	Nordkorea	10	5	2	3	13	8	+5	17	1.70	50%	1.30	0.80
3.	Saudi-Arabien	8	4	3	1	10	7	+3	15	1.88	50%	1.25	0.88
4.	Qatar	10	3	6	1	10	9	+1	15	1.50	30%	1.00	0.90
5.	Vereinigte Arabische	8	3	4	1	14	6	+8	13	1.62	38%	1.75	0.75
6.	Irak	6	3	2	1	11	5	+6	11	1.83	50%	1.83	0.83
7.	Malaysia	6	3	1	2	8	8	0	10	1.67	50%	1.33	1.33
8.	Japan	6	2	3	1	7	3	+4	9	1.50	33%	1.17	0.50
9.	Kuwait	4	3	0	1	6	3	+3	9	2.25	75%	1.50	0.75
10.	Kamerun	4	3	0	1	4	2	+2	9	2.25	75%	1.00	0.50
11.	Singapore	6	2	1	3	12	9	+3	7	1.17	33%	2.00	1.50
12.	Syyrien	4	2	1	1	7	5	+2	7	1.75	50%	1.75	1.25
13.	Jordanien	6	2	1	3	5	7	-2	7	1.17	33%	0.83	1.17
14.	Tunisia	6	2	1	3	4	7	-3	7	1.17	33%	0.67	1.17
15.	Iran	2	2	0	0	6	0	+6	6	3.00	100%	3.00	0.00
16.	Indonesia	6	1	3	2	5	10	-5	6	1.00	17%	0.83	1.67
17.	Republik Kongo	4	1	2	1	4	3	+1	5	1.25	25%	1.00	0.75
18.	Malawi	4	1	2	1	2	2	0	5	1.25	25%	0.50	0.50
19.	Kenia	4	1	2	1	2	2	0	5	1.25	25%	0.50	0.50
20.	Liberia	4	1	2	1	1	1	0	5	1.25	25%	0.25	0.25
21.	Nigeria	2	1	0	1	2	1	+1	3	1.50	50%	1.00	0.50
22.	Côte d'Ivoire	1	1	0	0	1	0	+1	3	3.00	100%	1.00	0.00
23.	Marokko	4	0	3	1	2	3	-1	3	0.75	0%	0.50	0.75
24.	Hong Kong	6	0	3	3	5	10	-5	3	0.50	0%	0.83	1.67
25.	Oman	6	0	2	4	4	11	-7	2	0.33	0%	0.67	1.83
26.	Island	1	0	1	0	1	1	0	1	1.00	0%	1.00	1.00
27.	Sowjetunion	1	0	1	0	1	1	0	1	1.00	0%	1.00	1.00
28.	Libya	1	0	0	1	0	1	-1	0	0.00	0%	0.00	1.00
29.	Jemen	4	0	0	4	0	5	-5	0	0.00	0%	0.00	1.25
30.	Thailand	2	0	0	2	0	6	-6	0	0.00	0%	0.00	3.00
31.	Pakistan	4	0	0	4	1	12	-11	0	0.00	0%	0.25	3.00
32.	Nepal	6	0	0	6	0	28	-28	0	0.00	0%	0.00	4.67

#	Mannschaft	SP	S	U	N	T+	T-	Diff	P	P/M	S%	ØT+	ØT-
1.	Nordkorea	6	4	0	2	10	5	+5	12	2.00	67%	1.67	0.83
2.	Südkorea	4	3	1	0	15	0	+15	10	2.50	75%	3.75	0.00
3.	Vereinigte Arabische	6	2	4	0	8	2	+6	10	1.67	33%	1.33	0.33
4.	Qatar	3	3	0	0	5	2	+3	9	3.00	100%	1.67	0.67
5.	Irak	3	2	1	0	9	3	+6	7	2.33	67%	3.00	1.00
6.	Japan	3	2	1	0	7	1	+6	7	2.33	67%	2.33	0.33
7.	Saudi-Arabien	4	2	1	1	7	7	0	7	1.75	50%	1.75	1.75
8.	Kuwait	2	2	0	0	5	2	+3	6	3.00	100%	2.50	1.00
9.	Kamerun	2	2	0	0	3	0	+3	6	3.00	100%	1.50	0.00
10.	Tunisia	3	2	0	1	3	2	+1	6	2.00	67%	1.00	0.67
11.	Malaysia	3	2	0	1	3	3	0	6	2.00	67%	1.00	1.00
12.	Indonesia	3	1	2	0	3	2	+1	5	1.67	33%	1.00	0.67
13.	Singapore	3	1	1	1	9	5	+4	4	1.33	33%	3.00	1.67
14.	Republik Kongo	2	1	1	0	3	1	+2	4	2.00	50%	1.50	0.50
15.	Syyrien	2	1	1	0	2	0	+2	4	2.00	50%	1.00	0.00
16.	Jordanien	3	1	1	1	3	2	+1	4	1.33	33%	1.00	0.67
17.	Kenia	2	1	1	0	2	1	+1	4	2.00	50%	1.00	0.50
18.	Liberia	2	1	1	0	1	0	+1	4	2.00	50%	0.50	0.00
19.	Malawi	2	1	1	0	1	0	+1	4	2.00	50%	0.50	0.00
20.	Iran	1	1	0	0	3	0	+3	3	3.00	100%	3.00	0.00
21.	Nigeria	1	1	0	0	2	0	+2	3	3.00	100%	2.00	0.00
22.	Côte d'Ivoire	1	1	0	0	1	0	+1	3	3.00	100%	1.00	0.00
23.	Marokko	2	0	2	0	1	1	0	2	1.00	0%	0.50	0.50
24.	Hong Kong	3	0	2	1	2	3	-1	2	0.67	0%	0.67	1.00
25.	Oman	3	0	2	1	1	3	-2	2	0.67	0%	0.33	1.00
26.	Sowjetunion	1	0	1	0	1	1	0	1	1.00	0%	1.00	1.00
27.	Libya	0	0	0	0	0	0	0	0	NaN	NaN%	NaN	NaN
28.	Island	0	0	0	0	0	0	0	0	NaN	NaN%	NaN	NaN
29.	Jemen	2	0	0	2	0	2	-2	0	0.00	0%	0.00	1.00
30.	Thailand	1	0	0	1	0	3	-3	0	0.00	0%	0.00	3.00
31.	Pakistan	2	0	0	2	1	5	-4	0	0.00	0%	0.50	2.50
32.	Nepal	3	0	0	3	0	10	-10	0	0.00	0%	0.00	3.33

#	Mannschaft	SP	S	U	N	T+	T-	Diff	P	P/M	S%	ØT+	ØT-
1.	Südkorea	6	5	1	0	14	1	+13	16	2.67	83%	2.33	0.17
2.	Saudi-Arabien	4	2	2	0	3	0	+3	8	2.00	50%	0.75	0.00
3.	Qatar	7	0	6	1	5	7	-2	6	0.86	0%	0.71	1.00
4.	Nordkorea	4	1	2	1	3	3	0	5	1.25	25%	0.75	0.75
5.	Malaysia	3	1	1	1	5	5	0	4	1.33	33%	1.67	1.67
6.	Irak	3	1	1	1	2	2	0	4	1.33	33%	0.67	0.67
7.	Iran	1	1	0	0	3	0	+3	3	3.00	100%	3.00	0.00
8.	Vereinigte Arabische	2	1	0	1	6	4	+2	3	1.50	50%	3.00	2.00
9.	Syyrien	2	1	0	1	5	5	0	3	1.50	50%	2.50	2.50
10.	Kuwait	2	1	0	1	1	1	0	3	1.50	50%	0.50	0.50
11.	Singapore	3	1	0	2	3	4	-1	3	1.00	33%	1.00	1.33
12.	Kamerun	2	1	0	1	1	2	-1	3	1.50	50%	0.50	1.00
13.	Jordanien	3	1	0	2	2	5	-3	3	1.00	33%	0.67	1.67
14.	Japan	3	0	2	1	0	2	-2	2	0.67	0%	0.00	0.67
15.	Island	1	0	1	0	1	1	0	1	1.00	0%	1.00	1.00
16.	Marokko	2	0	1	1	1	2	-1	1	0.50	0%	0.50	1.00
17.	Malawi	2	0	1	1	1	2	-1	1	0.50	0%	0.50	1.00
18.	Republik Kongo	2	0	1	1	1	2	-1	1	0.50	0%	0.50	1.00
19.	Liberia	2	0	1	1	0	1	-1	1	0.50	0%	0.00	0.50
20.	Kenia	2	0	1	1	0	1	-1	1	0.50	0%	0.00	0.50
21.	Hong Kong	3	0	1	2	3	7	-4	1	0.33	0%	1.00	2.33
22.	Tunisia	3	0	1	2	1	5	-4	1	0.33	0%	0.33	1.67
23.	Indonesia	3	0	1	2	2	8	-6	1	0.33	0%	0.67	2.67
24.	Sowjetunion	0	0	0	0	0	0	0	0	NaN	NaN%	NaN	NaN
25.	Côte d'Ivoire	0	0	0	0	0	0	0	0	NaN	NaN%	NaN	NaN
26.	Libya	1	0	0	1	0	1	-1	0	0.00	0%	0.00	1.00
27.	Nigeria	1	0	0	1	0	1	-1	0	0.00	0%	0.00	1.00
28.	Thailand	1	0	0	1	0	3	-3	0	0.00	0%	0.00	3.00
29.	Jemen	2	0	0	2	0	3	-3	0	0.00	0%	0.00	1.50
30.	Oman	3	0	0	3	3	8	-5	0	0.00	0%	1.00	2.67
31.	Pakistan	2	0	0	2	0	7	-7	0	0.00	0%	0.00	3.50
32.	Nepal	3	0	0	3	0	18	-18	0	0.00	0%	0.00	6.00

Ein Klick auf den Titel organisiert die Tabelle nach der betreffenden Spalte
Stelle den Cursor über die Prozentzahl (%) um Quotengrenze zu sehen

Wähle Saison

1989
1988
1985
1984
1982
1981
1980
1977
1976
1974
1973
1972
1971
1969
1968
1965
1964
1961
1960
1958
1957
1956
1954
1953
1950
1949
1938
1937
1934
1933

Sonntag 19. November 1989

World Cup Qualifiers		1989	Quoten 1x2
Tunisia	0 - 1	Kamerun

Samstag 28. Oktober 1989

Nordkorea	0 - 2	Saudi-Arabien
Vereinigte Arabische Em	1 - 1	Südkorea

Mittwoch 25. Oktober 1989

Saudi-Arabien	0 - 2	Südkorea

Dienstag 24. Oktober 1989

Vereinigte Arabische Em	1 - 1	Qatar

Samstag 21. Oktober 1989

Vereinigte Arabische Em	0 - 0	Saudi-Arabien

Freitag 20. Oktober 1989

Nordkorea	2 - 0	Qatar

Montag 16. Oktober 1989

Nordkorea	0 - 1	Südkorea
Saudi-Arabien	1 - 1	Qatar

Freitag 13. Oktober 1989

Südkorea	0 - 0	Qatar

Donnerstag 12. Oktober 1989

Vereinigte Arabische Em	0 - 0	Nordkorea

Sonntag 8. Oktober 1989

Kamerun	2 - 0	Tunisia

Sonntag 27. August 1989

Kamerun	1 - 0	Nigeria
Marokko	1 - 1	Republik Kongo

Samstag 26. August 1989

Malawi	0 - 0	Liberia

Sonntag 13. August 1989

Marokko	0 - 0	Tunisia

Samstag 12. August 1989

Kenia	1 - 0	Liberia

Sonntag 9. Juli 1989

Nordkorea	2 - 1	Indonesia

Sonntag 2. Juli 1989

Nordkorea	4 - 1	Hong Kong

Sonntag 25. Juni 1989

Indonesia	3 - 2	Hong Kong
Nordkorea	2 - 0	Japan
Tunisia	1 - 0	Republik Kongo

Samstag 24. Juni 1989

Malawi	1 - 0	Kenia

Sonntag 18. Juni 1989

Japan	0 - 0	Hong Kong

Sonntag 11. Juni 1989

Japan	5 - 0	Indonesia
Liberia	1 - 0	Malawi
Republik Kongo	0 - 0	Marokko

Samstag 10. Juni 1989

Nigeria	2 - 0	Kamerun

Mittwoch 7. Juni 1989

Nepal	0 - 3	Malaysia
Singapore	0 - 3	Südkorea

Montag 5. Juni 1989

Malaysia	0 - 3	Südkorea
Singapore	7 - 0	Nepal

Sonntag 4. Juni 1989

Hong Kong	1 - 1	Indonesia
Japan	2 - 1	Nordkorea

Samstag 3. Juni 1989

Nepal	0 - 4	Südkorea
Singapore	2 - 2	Malaysia

Mittwoch 31. Mai 1989

Sowjetunion	1 - 1	Island

Dienstag 30. Mai 1989

Iran	3 - 0	Thailand

Sonntag 28. Mai 1989

Indonesia	0 - 0	Japan

Samstag 27. Mai 1989

Hong Kong	1 - 2	Nordkorea
Nepal	0 - 3	Singapore
Südkorea	3 - 0	Malaysia

Donnerstag 25. Mai 1989

Malaysia	1 - 0	Singapore
Südkorea	9 - 0	Nepal

Dienstag 23. Mai 1989

Malaysia	2 - 0	Nepal
Südkorea	3 - 0	Singapore

Montag 22. Mai 1989

Hong Kong	0 - 0	Japan

Sonntag 21. Mai 1989

Indonesia	0 - 0	Nordkorea

Mittwoch 5. April 1989

Saudi-Arabien	1 - 0	Jemen

Donnerstag 30. März 1989

Syyrien	0 - 0	Saudi-Arabien

Mehr Ergebnisse

November 1989
Oktober 1989
August 1989
Juli 1989
Juni 1989
Mai 1989
April 1989
März 1989
Februar 1989
Januar 1989

Côte d'Ivoire
Hong Kong
Indonesia
Irak
Iran
Island
Japan
Jemen
Jordanien
Kamerun
Kenia
Kuwait
Liberia
Libya
Malawi
Malaysia
Marokko
Nepal
Nigeria
Nordkorea
Oman
Pakistan
Qatar
Republik Kongo
Saudi-Arabien
Singapore
Sowjetunion
Südkorea
Syyrien
Thailand
Tunisia
Vereinigte Arabisc

Wähle Saison

1989
1988
1985
1984
1982
1981
1980
1977
1976
1974
1973
1972
1971
1969
1968
1965
1964
1961
1960
1958
1957
1956
1954
1953
1950
1949
1938
1937
1934
1933

Die letzten 6 Matchs
Heim
Auswärts

#	Mannschaft	SP	S	U	N	T+	T-	Diff	P	P/M	S%	ØT+	ØT-
1.	Südkorea	6	4	2	0	10	1	+9	14	2.33	67%	1.67	0.17
2.	Irak	6	3	2	1	11	5	+6	11	1.83	50%	1.83	0.83
3.	Vereinigte Arabische	6	2	4	0	7	3	+4	10	1.67	33%	1.17	0.50
4.	Nordkorea	6	3	1	2	8	5	+3	10	1.67	50%	1.33	0.83
5.	Malaysia	6	3	1	2	8	8	0	10	1.67	50%	1.33	1.33
6.	Japan	6	2	3	1	7	3	+4	9	1.50	33%	1.17	0.50
7.	Kuwait	4	3	0	1	6	3	+3	9	2.25	75%	1.50	0.75
8.	Kamerun	4	3	0	1	4	2	+2	9	2.25	75%	1.00	0.50
9.	Saudi-Arabien	6	2	3	1	4	3	+1	9	1.50	33%	0.67	0.50
10.	Singapore	6	2	1	3	12	9	+3	7	1.17	33%	2.00	1.50
11.	Syyrien	4	2	1	1	7	5	+2	7	1.75	50%	1.75	1.25
12.	Qatar	6	1	4	1	7	8	-1	7	1.17	17%	1.17	1.33
13.	Jordanien	6	2	1	3	5	7	-2	7	1.17	33%	0.83	1.17
14.	Tunisia	6	2	1	3	4	7	-3	7	1.17	33%	0.67	1.17
15.	Iran	2	2	0	0	6	0	+6	6	3.00	100%	3.00	0.00
16.	Indonesia	6	1	3	2	5	10	-5	6	1.00	17%	0.83	1.67
17.	Republik Kongo	4	1	2	1	4	3	+1	5	1.25	25%	1.00	0.75
18.	Malawi	4	1	2	1	2	2	0	5	1.25	25%	0.50	0.50
19.	Kenia	4	1	2	1	2	2	0	5	1.25	25%	0.50	0.50
20.	Liberia	4	1	2	1	1	1	0	5	1.25	25%	0.25	0.25
21.	Nigeria	2	1	0	1	2	1	+1	3	1.50	50%	1.00	0.50
22.	Côte d'Ivoire	1	1	0	0	1	0	+1	3	3.00	100%	1.00	0.00
23.	Marokko	4	0	3	1	2	3	-1	3	0.75	0%	0.50	0.75
24.	Hong Kong	6	0	3	3	5	10	-5	3	0.50	0%	0.83	1.67
25.	Oman	6	0	2	4	4	11	-7	2	0.33	0%	0.67	1.83
26.	Island	1	0	1	0	1	1	0	1	1.00	0%	1.00	1.00
27.	Sowjetunion	1	0	1	0	1	1	0	1	1.00	0%	1.00	1.00
28.	Libya	1	0	0	1	0	1	-1	0	0.00	0%	0.00	1.00
29.	Jemen	4	0	0	4	0	5	-5	0	0.00	0%	0.00	1.25
30.	Thailand	2	0	0	2	0	6	-6	0	0.00	0%	0.00	3.00
31.	Pakistan	4	0	0	4	1	12	-11	0	0.00	0%	0.25	3.00
32.	Nepal	6	0	0	6	0	28	-28	0	0.00	0%	0.00	4.67

#	Mannschaft	SP	S	U	N	T+	T-	Diff	P	P/M	S%	ØT+	ØT-
1.	Nordkorea	6	4	0	2	10	5	+5	12	2.00	67%	1.67	0.83
2.	Südkorea	4	3	1	0	15	0	+15	10	2.50	75%	3.75	0.00
3.	Vereinigte Arabische	6	2	4	0	8	2	+6	10	1.67	33%	1.33	0.33
4.	Qatar	3	3	0	0	5	2	+3	9	3.00	100%	1.67	0.67
5.	Irak	3	2	1	0	9	3	+6	7	2.33	67%	3.00	1.00
6.	Japan	3	2	1	0	7	1	+6	7	2.33	67%	2.33	0.33
7.	Saudi-Arabien	4	2	1	1	7	7	0	7	1.75	50%	1.75	1.75
8.	Kuwait	2	2	0	0	5	2	+3	6	3.00	100%	2.50	1.00
9.	Kamerun	2	2	0	0	3	0	+3	6	3.00	100%	1.50	0.00
10.	Tunisia	3	2	0	1	3	2	+1	6	2.00	67%	1.00	0.67
11.	Malaysia	3	2	0	1	3	3	0	6	2.00	67%	1.00	1.00
12.	Indonesia	3	1	2	0	3	2	+1	5	1.67	33%	1.00	0.67
13.	Singapore	3	1	1	1	9	5	+4	4	1.33	33%	3.00	1.67
14.	Republik Kongo	2	1	1	0	3	1	+2	4	2.00	50%	1.50	0.50
15.	Syyrien	2	1	1	0	2	0	+2	4	2.00	50%	1.00	0.00
16.	Jordanien	3	1	1	1	3	2	+1	4	1.33	33%	1.00	0.67
17.	Kenia	2	1	1	0	2	1	+1	4	2.00	50%	1.00	0.50
18.	Liberia	2	1	1	0	1	0	+1	4	2.00	50%	0.50	0.00
19.	Malawi	2	1	1	0	1	0	+1	4	2.00	50%	0.50	0.00
20.	Iran	1	1	0	0	3	0	+3	3	3.00	100%	3.00	0.00
21.	Nigeria	1	1	0	0	2	0	+2	3	3.00	100%	2.00	0.00
22.	Côte d'Ivoire	1	1	0	0	1	0	+1	3	3.00	100%	1.00	0.00
23.	Marokko	2	0	2	0	1	1	0	2	1.00	0%	0.50	0.50
24.	Hong Kong	3	0	2	1	2	3	-1	2	0.67	0%	0.67	1.00
25.	Oman	3	0	2	1	1	3	-2	2	0.67	0%	0.33	1.00
26.	Sowjetunion	1	0	1	0	1	1	0	1	1.00	0%	1.00	1.00
27.	Libya	0	0	0	0	0	0	0	0	NaN	NaN%	NaN	NaN
28.	Island	0	0	0	0	0	0	0	0	NaN	NaN%	NaN	NaN
29.	Jemen	2	0	0	2	0	2	-2	0	0.00	0%	0.00	1.00
30.	Thailand	1	0	0	1	0	3	-3	0	0.00	0%	0.00	3.00
31.	Pakistan	2	0	0	2	1	5	-4	0	0.00	0%	0.50	2.50
32.	Nepal	3	0	0	3	0	10	-10	0	0.00	0%	0.00	3.33

#	Mannschaft	SP	S	U	N	T+	T-	Diff	P	P/M	S%	ØT+	ØT-
1.	Südkorea	6	5	1	0	14	1	+13	16	2.67	83%	2.33	0.17
2.	Saudi-Arabien	4	2	2	0	3	0	+3	8	2.00	50%	0.75	0.00
3.	Nordkorea	4	1	2	1	3	3	0	5	1.25	25%	0.75	0.75
4.	Qatar	6	0	5	1	5	7	-2	5	0.83	0%	0.83	1.17
5.	Malaysia	3	1	1	1	5	5	0	4	1.33	33%	1.67	1.67
6.	Irak	3	1	1	1	2	2	0	4	1.33	33%	0.67	0.67
7.	Iran	1	1	0	0	3	0	+3	3	3.00	100%	3.00	0.00
8.	Vereinigte Arabische	2	1	0	1	6	4	+2	3	1.50	50%	3.00	2.00
9.	Syyrien	2	1	0	1	5	5	0	3	1.50	50%	2.50	2.50
10.	Kuwait	2	1	0	1	1	1	0	3	1.50	50%	0.50	0.50
11.	Singapore	3	1	0	2	3	4	-1	3	1.00	33%	1.00	1.33
12.	Kamerun	2	1	0	1	1	2	-1	3	1.50	50%	0.50	1.00
13.	Jordanien	3	1	0	2	2	5	-3	3	1.00	33%	0.67	1.67
14.	Japan	3	0	2	1	0	2	-2	2	0.67	0%	0.00	0.67
15.	Island	1	0	1	0	1	1	0	1	1.00	0%	1.00	1.00
16.	Marokko	2	0	1	1	1	2	-1	1	0.50	0%	0.50	1.00
17.	Malawi	2	0	1	1	1	2	-1	1	0.50	0%	0.50	1.00
18.	Republik Kongo	2	0	1	1	1	2	-1	1	0.50	0%	0.50	1.00
19.	Liberia	2	0	1	1	0	1	-1	1	0.50	0%	0.00	0.50
20.	Kenia	2	0	1	1	0	1	-1	1	0.50	0%	0.00	0.50
21.	Hong Kong	3	0	1	2	3	7	-4	1	0.33	0%	1.00	2.33
22.	Tunisia	3	0	1	2	1	5	-4	1	0.33	0%	0.33	1.67
23.	Indonesia	3	0	1	2	2	8	-6	1	0.33	0%	0.67	2.67
24.	Sowjetunion	0	0	0	0	0	0	0	0	NaN	NaN%	NaN	NaN
25.	Côte d'Ivoire	0	0	0	0	0	0	0	0	NaN	NaN%	NaN	NaN
26.	Libya	1	0	0	1	0	1	-1	0	0.00	0%	0.00	1.00
27.	Nigeria	1	0	0	1	0	1	-1	0	0.00	0%	0.00	1.00
28.	Thailand	1	0	0	1	0	3	-3	0	0.00	0%	0.00	3.00
29.	Jemen	2	0	0	2	0	3	-3	0	0.00	0%	0.00	1.50
30.	Oman	3	0	0	3	3	8	-5	0	0.00	0%	1.00	2.67
31.	Pakistan	2	0	0	2	0	7	-7	0	0.00	0%	0.00	3.50
32.	Nepal	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
1989	Saison	78	47.4%	30.8%	21.8%	¦	68.5%	31.5%	¦	35.9%	64.1%	61.5%	38.5%	37.0%
1988	Saison	67	47.8%	29.9%	22.4%	¦	68.8%	31.3%	¦	41.8%	58.2%	67.2%	32.8%	37.5%
1985	Saison	229	51.5%	24.5%	24.0%	¦	68.4%	31.6%	¦	45.4%	54.6%	70.3%	29.7%	36.8%
1984	Saison	73	57.5%	15.1%	27.4%	¦	68.3%	31.7%	¦	56.2%	43.8%	67.1%	32.9%	36.5%
1982	Saison	1	100.0%	0.0%	0.0%	¦	100.0%	0.0%	¦	100.0%	0.0%	100.0%	0.0%	100.0%
1981	Saison	176	56.8%	21.6%	21.6%	¦	72.5%	27.5%	¦	48.3%	51.7%	71.0%	29.0%	44.9%
1980	Saison	129	45.0%	27.9%	27.1%	¦	63.2%	36.8%	¦	40.3%	59.7%	69.0%	31.0%	26.3%
1977	Saison	166	53.6%	17.5%	28.9%	¦	65.0%	35.0%	¦	50.0%	50.0%	73.5%	26.5%	29.9%
1976	Saison	86	52.3%	26.7%	20.9%	¦	71.4%	28.6%	¦	47.7%	52.3%	80.2%	19.8%	42.9%
1974	Saison	1	0.0%	0.0%	100.0%	¦	0.0%	100.0%	¦	0.0%	100.0%	0.0%	100.0%	-100.0%
1973	Saison	82	54.9%	25.6%	19.5%	¦	73.8%	26.2%	¦	50.0%	50.0%	73.2%	26.8%	47.5%
1972	Saison	140	49.3%	26.4%	24.3%	¦	67.0%	33.0%	¦	48.6%	51.4%	73.6%	26.4%	34.0%
1971	Saison	1	0.0%	0.0%	100.0%	¦	0.0%	100.0%	¦	0.0%	100.0%	100.0%	0.0%	-100.0%
1969	Saison	118	55.1%	24.6%	20.3%	¦	73.0%	27.0%	¦	56.8%	43.2%	83.1%	16.9%	46.1%
1968	Saison	54	64.8%	13.0%	22.2%	¦	74.5%	25.5%	¦	55.6%	44.4%	75.9%	24.1%	48.9%
1965	Saison	62	59.7%	14.5%	25.8%	¦	69.8%	30.2%	¦	61.3%	38.7%	77.4%	22.6%	39.6%
1964	Saison	14	71.4%	7.1%	21.4%	¦	76.9%	23.1%	¦	35.7%	64.3%	78.6%	21.4%	53.8%
1961	Saison	8	50.0%	25.0%	25.0%	¦	66.7%	33.3%	¦	37.5%	62.5%	62.5%	37.5%	33.3%
1960	Saison	14	50.0%	14.3%	35.7%	¦	58.3%	41.7%	¦	85.7%	14.3%	100.0%	0.0%	16.7%
1958	Saison	3	66.7%	0.0%	33.3%	¦	66.7%	33.3%	¦	33.3%	66.7%	100.0%	0.0%	33.3%
1957	Saison	82	59.8%	14.6%	25.6%	¦	70.0%	30.0%	¦	68.3%	31.7%	90.2%	9.8%	40.0%
1956	Saison	4	100.0%	0.0%	0.0%	¦	100.0%	0.0%	¦	100.0%	0.0%	100.0%	0.0%	100.0%
1954	Saison	23	34.8%	8.7%	56.5%	¦	38.1%	61.9%	¦	65.2%	34.8%	73.9%	26.1%	-23.8%
1953	Saison	34	44.1%	20.6%	35.3%	¦	55.6%	44.4%	¦	67.6%	32.4%	76.5%	23.5%	11.1%
1950	Saison	4	25.0%	50.0%	25.0%	¦	50.0%	50.0%	¦	50.0%	50.0%	50.0%	50.0%	0.0%
1949	Saison	22	54.5%	18.2%	27.3%	¦	66.7%	33.3%	¦	72.7%	27.3%	100.0%	0.0%	33.3%
1938	Saison	8	62.5%	12.5%	25.0%	¦	71.4%	28.6%	¦	62.5%	37.5%	75.0%	25.0%	42.9%
1937	Saison	13	69.2%	7.7%	23.1%	¦	75.0%	25.0%	¦	76.9%	23.1%	92.3%	7.7%	50.0%
1934	Saison	22	54.5%	9.1%	36.4%	¦	60.0%	40.0%	¦	90.9%	9.1%	100.0%	0.0%	20.0%
1933	Saison	5	20.0%	40.0%	40.0%	¦	33.3%	66.7%	¦	80.0%	20.0%	100.0%	0.0%	-33.3%

Ein Klick auf den Titel organisiert die Tabelle nach der betreffenden Spalte
Stelle den Cursor über die Prozentzahl (%) um Quotengrenze zu sehen

Endergebnisstatistik & Tordifferenz

Halbzeit-/Endergebnis

AnnaBet Powerratings

Aktualisiert 2025-03-26 10:04:46

#	Mannschaft	Powerrating
1.	Marokko	1545
2.	Iran	1450
3.	Japan	1431
4.	Südkorea	1303
5.	Jordanien	1296
6.	Tunisia	1267
7.	Oman	1234
8.	Irak	1195
9.	Qatar	1182
10.	Côte d'Ivoire	1182
11.	Vereinigte Arabische Emirate	1172
12.	Kamerun	1135
13.	Saudi-Arabien	1127
14.	Nigeria	1101
15.	Syyrien	1057
16.	Thailand	1041
17.	Republik Kongo	1032
18.	Nordkorea	1013
19.	Indonesia	989
20.	Libya	987
21.	Island	979
22.	Kuwait	978
23.	Malawi	971
24.	Malaysia	957
25.	Kenia	952
26.	Liberia	916
27.	Hong Kong	851
28.	Singapore	801
29.	Jemen	760
30.	Nepal	742
31.	Pakistan	612
32.	Sowjetunion

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.