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Volleyball

  World League 2013

2nd Round Group A

# Team GP W L W% ØPF ØPA ØDiff
1. Italy 2 2 0 100% 3.0 1.0 +2.0
2. Bulgaria 2 1 1 50% 2.0 2.0 0.0
3. Argentina 2 0 2 0% 1.0 3.0 -2.0

2nd Round Group B
# Team GP W L W% ØPF ØPA ØDiff
1. Brazil 2 1 1 50% 2.5 1.5 +1.0
2. Russia 2 1 1 50% 2.5 2.5 0.0
3. Canada 2 1 1 50% 1.5 2.5 -1.0

Group A

# Team GP W L W% ØPF ØPA ØDiff
1. Brazil 10 9 1 90% 2.8 1.1 +1.7
2. Bulgaria 10 7 3 70% 2.3 1.5 +0.8
3. France 10 5 5 50% 2.1 2.3 -0.2
4. Poland 10 4 6 40% 2.1 2.4 -0.3
5. USA 10 4 6 40% 1.8 2.1 -0.3
6. Argentina 10 1 9 10% 1.1 2.8 -1.7

Group B
# Team GP W L W% ØPF ØPA ØDiff
1. Russia 10 7 3 70% 2.5 1.6 +0.9
2. Italy 10 7 3 70% 2.5 1.6 +0.9
3. Germany 10 5 5 50% 2.1 1.9 +0.2
4. Serbia 10 5 5 50% 2.2 2.2 0.0
5. Iran 10 5 5 50% 2.0 2.1 -0.1
6. Cuba 10 1 9 10% 0.9 2.8 -1.9

Group C
# Team GP W L W% ØPF ØPA ØDiff
1. Canada 10 8 2 80% 2.6 1.1 +1.5
2. Netherlands 10 7 3 70% 2.5 1.4 +1.1
3. South Korea 10 4 6 40% 1.6 2.2 -0.6
4. Finland 10 4 6 40% 1.8 2.1 -0.3
5. Portugal 10 4 6 40% 1.6 2.4 -0.8
6. Japan 10 3 7 30% 1.6 2.5 -0.9

2nd Round Group A

# Team GP W L W% ØPF ØPA ØDiff
1. Italy 1 1 0 100% 3.0 1.0 +2.0
2. Argentina 1 0 1 0% 1.0 3.0 -2.0
3. Bulgaria 1 0 1 0% 1.0 3.0 -2.0

2nd Round Group B
# Team GP W L W% ØPF ØPA ØDiff
1. Russia 1 0 1 0% 2.0 3.0 -1.0
2. Brazil 1 0 1 0% 2.0 3.0 -1.0
3. Canada 1 0 1 0% 0.0 3.0 -3.0

Group A

# Team GP W L W% ØPF ØPA ØDiff
1. Brazil 6 5 1 83% 2.7 1.3 +1.3
2. Bulgaria 4 4 0 100% 3.0 0.8 +2.2
3. USA 6 4 2 67% 2.3 1.5 +0.8
4. Poland 6 4 2 67% 2.5 2.0 +0.5
5. France 4 2 2 50% 2.0 2.5 -0.5
6. Argentina 4 0 4 0% 0.8 3.0 -2.2

Group B
# Team GP W L W% ØPF ØPA ØDiff
1. Italy 6 5 1 83% 2.7 1.2 +1.5
2. Russia 6 5 1 83% 2.7 1.3 +1.3
3. Germany 4 3 1 75% 2.8 1.5 +1.2
4. Serbia 4 2 2 50% 2.2 2.2 0.0
5. Iran 4 2 2 50% 2.0 2.0 0.0
6. Cuba 6 1 5 17% 1.3 2.7 -1.3

Group C
# Team GP W L W% ØPF ØPA ØDiff
1. Canada 6 4 2 67% 2.3 1.2 +1.2
2. Netherlands 4 3 1 75% 2.8 1.0 +1.8
3. Japan 4 2 2 50% 2.2 2.0 +0.2
4. Finland 6 2 4 33% 1.7 2.2 -0.5
5. South Korea 6 2 4 33% 1.7 2.3 -0.7
6. Portugal 4 1 3 25% 1.8 2.5 -0.8

2nd Round Group A

# Team GP W L W% ØPF ØPA ØDiff
1. Bulgaria 1 1 0 100% 3.0 1.0 +2.0
2. Italy 1 1 0 100% 3.0 1.0 +2.0
3. Argentina 1 0 1 0% 1.0 3.0 -2.0

2nd Round Group B
# Team GP W L W% ØPF ØPA ØDiff
1. Brazil 1 1 0 100% 3.0 0.0 +3.0
2. Canada 1 1 0 100% 3.0 2.0 +1.0
3. Russia 1 1 0 100% 3.0 2.0 +1.0

Group A

# Team GP W L W% ØPF ØPA ØDiff
1. Brazil 4 4 0 100% 3.0 0.8 +2.2
2. France 6 3 3 50% 2.2 2.2 0.0
3. Bulgaria 6 3 3 50% 1.8 2.0 -0.2
4. Argentina 6 1 5 17% 1.3 2.7 -1.3
5. Poland 4 0 4 0% 1.5 3.0 -1.5
6. USA 4 0 4 0% 1.0 3.0 -2.0

Group B
# Team GP W L W% ØPF ØPA ØDiff
1. Serbia 6 3 3 50% 2.2 2.2 0.0
2. Iran 6 3 3 50% 2.0 2.2 -0.2
3. Germany 6 2 4 33% 1.7 2.2 -0.5
4. Russia 4 2 2 50% 2.2 2.0 +0.2
5. Italy 4 2 2 50% 2.2 2.2 0.0
6. Cuba 4 0 4 0% 0.2 3.0 -2.8

Group C
# Team GP W L W% ØPF ØPA ØDiff
1. Netherlands 6 4 2 67% 2.3 1.7 +0.7
2. Canada 4 4 0 100% 3.0 1.0 +2.0
3. Portugal 6 3 3 50% 1.5 2.3 -0.8
4. South Korea 4 2 2 50% 1.5 2.0 -0.5
5. Finland 4 2 2 50% 2.0 2.0 0.0
6. Japan 6 1 5 17% 1.2 2.8 -1.7


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Mouseover percentages (%) to see value odds

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2017
2016
2015
2014
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2012
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Monday 22. July 2013
   
World League - Playoffs - Finals2013 Odds 1x2
Russia    3 - 0    Brazil2.311.54
   
Sunday 21. July 2013
   
World League - Playoffs - Bronze2013 Odds 1x2
Italy    3 - 2 AET Bulgaria1.452.52
   
Saturday 20. July 2013
   
World League - Playoffs - 1/2 Finals2013 Odds 1x2
Brazil    3 - 1    Bulgaria1.233.61
Italy    1 - 3    Russia2.001.72
   
Friday 19. July 2013
   
World League - 2nd Round Group A2013 Odds 1x2
Italy    3 - 1    Argentina1.293.19
Bulgaria    1 - 3    Italy2.421.48
World League - 2nd Round Group B2013 Odds 1x2
Canada    0 - 3    Brazil6.231.08
   
Thursday 18. July 2013
   
World League - 2nd Round Group A2013 Odds 1x2
Argentina    1 - 3    Bulgaria2.461.47
World League - 2nd Round Group B2013 Odds 1x2
Russia    2 - 3 AET Canada1.057.39
   
Wednesday 17. July 2013
   
Brazil    2 - 3 AET Russia1.332.97
   
Sunday 14. July 2013
   
World League - Group A2013 Odds 1x2
Brazil    3 - 0    USA1.303.11
   
Saturday 13. July 2013
   
Brazil    3 - 1    USA1.283.31
Bulgaria    3 - 2 AET Poland1.472.46
World League - Group B2013 Odds 1x2
Iran    0 - 3    Germany1.323.01
   
Friday 12. July 2013
   
World League - Group A2013 Odds 1x2
Bulgaria    3 - 0    Poland1.741.96
World League - Group B2013 Odds 1x2
Iran    3 - 0    Germany1.692.01
   
Monday 8. July 2013
   
World League - Group A2013 Odds 1x2
Argentina    1 - 3    France2.091.63
   
Sunday 7. July 2013
   
Argentina    2 - 3 AET France2.081.64
Poland    3 - 1    USA1.372.77
World League - Group B2013 Odds 1x2
Cuba    1 - 3    Iran2.101.63
Serbia    3 - 1    Italy1.861.81
World League - Group C2013 Odds 1x2
Japan    2 - 3 AET Canada3.361.27
Portugal    1 - 3    South Korea1.332.92
   
Saturday 6. July 2013
   
World League - Group A2013 Odds 1x2
Brazil    3 - 1    Bulgaria1.154.60
World League - Group B2013 Odds 1x2
Cuba    2 - 3 AET Iran2.171.61
Germany    3 - 2 AET Russia2.871.35
Serbia    2 - 3 AET Italy1.851.83
World League - Group C2013 Odds 1x2
Finland    3 - 1    Netherlands2.561.43
Japan    1 - 3    Canada2.831.36
Portugal    1 - 3    South Korea1.193.99
   
Friday 5. July 2013
   
World League - Group A2013 Odds 1x2
Brazil    3 - 1    Bulgaria1.174.24
Poland    3 - 2 AET USA1.372.80
World League - Group B2013 Odds 1x2
Germany    2 - 3 AET Russia2.941.34
World League - Group C2013 Odds 1x2
Finland    1 - 3    Netherlands2.321.52
   
Sunday 30. June 2013
   
World League - Group A2013 Odds 1x2
Poland    3 - 1    Argentina1.184.17
USA    1 - 3    Bulgaria1.452.53
World League - Group B2013 Odds 1x2
Cuba    3 - 1    Russia5.881.09
Italy    3 - 2 AET Iran1.164.39
Serbia    3 - 2 AET Germany1.382.74
World League - Group C2013 Odds 1x2
Portugal    2 - 3 AET Japan1.213.78
South Korea    1 - 3    Netherlands2.841.36
   
Saturday 29. June 2013
   
World League - Group A2013 Odds 1x2
Brazil    1 - 3    France1.076.47
USA    3 - 0    Bulgaria1.592.22
World League - Group B2013 Odds 1x2
Cuba    0 - 3    Russia5.431.11
Serbia    1 - 3    Germany1.293.18
World League - Group C2013 Odds 1x2
Finland    0 - 3    Canada1.701.99
Portugal    3 - 1    Japan1.213.81
South Korea    1 - 3    Netherlands2.421.48
   
Friday 28. June 2013
   
World League - Group A2013 Odds 1x2
Brazil    3 - 2 AET France1.048.05
Poland    3 - 2 AET Argentina1.194.13

More Results


July 2013
June 2013
May 2013
September 2012
August 2012

Argentina
Brazil
Bulgaria
Canada
Cuba
Dominican Republic
Egypt
Finland
France
Germany
Iran
Italy
Japan
Netherlands
Poland
Portugal
Russia
Serbia
South Korea
USA


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2017
2016
2015
2014
2013
2012
2011


Official Site

Wikipedia

# Team GP W L W% ØPF ØPA ØDiff
1. France 6 5 1 83% 2.8 1.8 +1.0
2. Canada 6 5 1 83% 2.5 1.5 +1.0
3. Netherlands 6 4 2 67% 2.5 1.5 +1.0
4. Brazil 6 4 2 67% 2.3 1.3 +1.0
5. Russia 6 4 2 67% 2.7 1.8 +0.8
6. Iran 6 4 2 67% 2.3 1.7 +0.7
7. Poland 6 4 2 67% 2.3 2.0 +0.3
8. Italy 6 4 2 67% 2.3 2.0 +0.3
9. Germany 6 3 3 50% 2.2 2.0 +0.2
10. Bulgaria 6 3 3 50% 2.2 2.0 +0.2
11. Serbia 6 3 3 50% 2.3 2.3 0.0
12. Japan 6 3 3 50% 2.2 2.2 0.0
13. Portugal 6 2 4 33% 1.7 2.5 -0.8
14. South Korea 6 2 4 33% 1.3 2.3 -1.0
15. USA 6 1 5 17% 1.3 2.5 -1.2
16. Cuba 6 1 5 17% 1.2 2.7 -1.5
17. Finland 6 1 5 17% 1.2 2.7 -1.5
18. Argentina 6 0 6 0% 1.3 3.0 -1.7
19. Dominican Republic 2 0 2 0% 1.0 3.0 -2.0
20. Egypt 2 0 2 0% 0.5 3.0 -2.5

# Team GP W L W% ØPF ØPA ØDiff
1. Brazil 6 5 1 83% 2.8 1.2 +1.7
2. Netherlands 6 5 1 83% 2.8 1.3 +1.5
3. Iran 6 4 2 67% 2.3 1.3 +1.0
4. Bulgaria 5 4 1 80% 2.6 1.2 +1.4
5. Russia 6 4 2 67% 2.5 1.7 +0.8
6. USA 6 4 2 67% 2.3 1.5 +0.8
7. Poland 6 4 2 67% 2.5 2.0 +0.5
8. Italy 6 4 2 67% 2.3 1.8 +0.5
9. Germany 4 3 1 75% 2.8 1.5 +1.2
10. Canada 6 3 3 50% 1.8 1.5 +0.3
11. Japan 4 2 2 50% 2.2 2.0 +0.2
12. Finland 6 2 4 33% 1.7 2.2 -0.5
13. South Korea 6 2 4 33% 1.7 2.3 -0.7
14. Serbia 4 2 2 50% 2.2 2.2 0.0
15. France 4 2 2 50% 2.0 2.5 -0.5
16. Portugal 4 1 3 25% 1.8 2.5 -0.8
17. Cuba 6 1 5 17% 1.3 2.7 -1.3
18. Argentina 5 0 5 0% 0.8 3.0 -2.2
19. Dominican Republic 0 0 0 NaN% NaN NaN NaN
20. Egypt 2 0 2 0% 0.5 3.0 -2.5

# Team GP W L W% ØPF ØPA ØDiff
1. Brazil 6 5 1 83% 2.5 1.0 +1.5
2. Canada 5 5 0 100% 3.0 1.2 +1.8
3. Netherlands 6 4 2 67% 2.3 1.7 +0.7
4. Russia 6 4 2 67% 2.5 1.8 +0.7
5. France 6 3 3 50% 2.2 2.2 0.0
6. Serbia 6 3 3 50% 2.2 2.2 0.0
7. Italy 5 3 2 60% 2.4 2.0 +0.4
8. Iran 6 3 3 50% 2.0 2.2 -0.2
9. Germany 6 2 4 33% 1.7 2.2 -0.5
10. Bulgaria 6 2 4 33% 1.8 2.3 -0.5
11. Portugal 6 3 3 50% 1.5 2.3 -0.8
12. South Korea 4 2 2 50% 1.5 2.0 -0.5
13. Finland 4 2 2 50% 2.0 2.0 0.0
14. Poland 4 0 4 0% 1.5 3.0 -1.5
15. Japan 6 1 5 17% 1.2 2.8 -1.7
16. Dominican Republic 2 0 2 0% 1.0 3.0 -2.0
17. USA 4 0 4 0% 1.0 3.0 -2.0
18. Argentina 6 0 6 0% 1.0 3.0 -2.0
19. Egypt 0 0 0 NaN% NaN NaN NaN
20. Cuba 4 0 4 0% 0.2 3.0 -2.8

-
Season Games 1 x 2  ¦  1 2  ¦  Over 3.5 Under 3.5 Over 4.5 Under 4.5 Home Advantage
2017Playoffs12 41.7% 16.7% 41.7%  ¦  41.7% 58.3%  ¦  41.7% 58.3% 16.7% 83.3% -16.7%
2017Group Stage3 33.3% 33.3% 33.3%  ¦  66.7% 33.3%  ¦  66.7% 33.3% 33.3% 66.7% 33.3%
2017Group Stage3 0.0% 66.7% 33.3%  ¦  66.7% 33.3%  ¦  100.0% 0.0% 66.7% 33.3% 33.3%
2017Group Stage54 38.9% 27.8% 33.3%  ¦  51.9% 48.1%  ¦  70.4% 29.6% 27.8% 72.2% 3.7%
2017Group Stage54 40.7% 29.6% 29.6%  ¦  63.0% 37.0%  ¦  66.7% 33.3% 29.6% 70.4% 25.9%
2017Group Stage35 37.1% 20.0% 42.9%  ¦  45.7% 54.3%  ¦  62.9% 37.1% 20.0% 80.0% -8.6%
2016Playoffs4 25.0% 25.0% 50.0%  ¦  50.0% 50.0%  ¦  50.0% 50.0% 25.0% 75.0% 0.0%
2016Place Match8 62.5% 0.0% 37.5%  ¦  62.5% 37.5%  ¦  50.0% 50.0% 0.0% 100.0% 25.0%
2016Group Stage3 33.3% 33.3% 33.3%  ¦  66.7% 33.3%  ¦  66.7% 33.3% 33.3% 66.7% 33.3%
2016Group Stage3 0.0% 66.7% 33.3%  ¦  33.3% 66.7%  ¦  100.0% 0.0% 66.7% 33.3% -33.3%
2016Group Stage54 42.6% 18.5% 38.9%  ¦  53.7% 46.3%  ¦  50.0% 50.0% 18.5% 81.5% 7.4%
2016Group Stage54 40.7% 35.2% 24.1%  ¦  63.0% 37.0%  ¦  64.8% 35.2% 35.2% 64.8% 25.9%
2016Group Stage36 47.2% 16.7% 36.1%  ¦  52.8% 47.2%  ¦  63.9% 36.1% 16.7% 83.3% 5.6%
2015Group Stage24 33.3% 33.3% 33.3%  ¦  58.3% 41.7%  ¦  66.7% 33.3% 33.3% 66.7% 16.7%
2015Group Stage24 41.7% 25.0% 33.3%  ¦  62.5% 37.5%  ¦  70.8% 29.2% 25.0% 75.0% 25.0%
2015Group Stage24 45.8% 29.2% 25.0%  ¦  58.3% 41.7%  ¦  66.7% 33.3% 29.2% 70.8% 16.7%
2015Group Stage24 50.0% 16.7% 33.3%  ¦  58.3% 41.7%  ¦  45.8% 54.2% 16.7% 83.3% 16.7%
2015Group Stage24 33.3% 37.5% 29.2%  ¦  45.8% 54.2%  ¦  66.7% 33.3% 37.5% 62.5% -8.3%
2015Group Stage12 66.7% 16.7% 16.7%  ¦  75.0% 25.0%  ¦  58.3% 41.7% 16.7% 83.3% 50.0%
2015Playoffs4 25.0% 50.0% 25.0%  ¦  50.0% 50.0%  ¦  50.0% 50.0% 50.0% 50.0% 0.0%
2015Place Match8 37.5% 37.5% 25.0%  ¦  37.5% 62.5%  ¦  75.0% 25.0% 37.5% 62.5% -25.0%
2015Group Stage12 16.7% 58.3% 25.0%  ¦  33.3% 66.7%  ¦  75.0% 25.0% 58.3% 41.7% -33.3%
2015Group Stage12 50.0% 25.0% 25.0%  ¦  66.7% 33.3%  ¦  58.3% 41.7% 25.0% 75.0% 33.3%
2015Group Stage3 66.7% 0.0% 33.3%  ¦  66.7% 33.3%  ¦  100.0% 0.0% 0.0% 100.0% 33.3%
2015Group Stage3 33.3% 66.7% 0.0%  ¦  66.7% 33.3%  ¦  100.0% 0.0% 66.7% 33.3% 33.3%
2014Group Stage24 54.2% 16.7% 29.2%  ¦  66.7% 33.3%  ¦  62.5% 37.5% 16.7% 83.3% 33.3%
2014Group Stage24 50.0% 29.2% 20.8%  ¦  62.5% 37.5%  ¦  50.0% 50.0% 29.2% 70.8% 25.0%
2014Group Stage24 41.7% 37.5% 20.8%  ¦  62.5% 37.5%  ¦  75.0% 25.0% 37.5% 62.5% 25.0%
2014Group Stage24 33.3% 20.8% 45.8%  ¦  41.7% 58.3%  ¦  45.8% 54.2% 20.8% 79.2% -16.7%
2014Group Stage24 33.3% 37.5% 29.2%  ¦  50.0% 50.0%  ¦  70.8% 29.2% 37.5% 62.5% 0.0%
2014Group Stage12 25.0% 16.7% 58.3%  ¦  41.7% 58.3%  ¦  58.3% 41.7% 16.7% 83.3% -16.7%
2014Playoffs3 33.3% 0.0% 66.7%  ¦  33.3% 66.7%  ¦  33.3% 66.7% 0.0% 100.0% -33.3%
2014Place Match9 44.4% 33.3% 22.2%  ¦  66.7% 33.3%  ¦  44.4% 55.6% 33.3% 66.7% 33.3%
2014Group Stage12 25.0% 41.7% 33.3%  ¦  50.0% 50.0%  ¦  66.7% 33.3% 41.7% 58.3% 0.0%
2014Group Stage3 66.7% 0.0% 33.3%  ¦  66.7% 33.3%  ¦  33.3% 66.7% 0.0% 100.0% 33.3%
2014Group Stage3 0.0% 33.3% 66.7%  ¦  0.0% 100.0%  ¦  100.0% 0.0% 33.3% 66.7% -100.0%
2013Group Stage30 40.0% 33.3% 26.7%  ¦  63.3% 36.7%  ¦  73.3% 26.7% 33.3% 66.7% 26.7%
2013Group Stage30 36.7% 36.7% 26.7%  ¦  60.0% 40.0%  ¦  70.0% 30.0% 36.7% 63.3% 20.0%
2013Group Stage30 46.7% 16.7% 36.7%  ¦  46.7% 53.3%  ¦  73.3% 26.7% 16.7% 83.3% -6.7%
2013Playoffs4 50.0% 25.0% 25.0%  ¦  75.0% 25.0%  ¦  75.0% 25.0% 25.0% 75.0% 50.0%
2013Qualification8 37.5% 37.5% 25.0%  ¦  75.0% 25.0%  ¦  50.0% 50.0% 37.5% 62.5% 50.0%
2013Group Stage3 33.3% 0.0% 66.7%  ¦  33.3% 66.7%  ¦  100.0% 0.0% 0.0% 100.0% -33.3%
2013Group Stage3 0.0% 66.7% 33.3%  ¦  0.0% 100.0%  ¦  66.7% 33.3% 66.7% 33.3% -100.0%
2012Group Stage24 29.2% 37.5% 33.3%  ¦  45.8% 54.2%  ¦  75.0% 25.0% 37.5% 62.5% -8.3%
2012Group Stage24 45.8% 25.0% 29.2%  ¦  62.5% 37.5%  ¦  54.2% 45.8% 25.0% 75.0% 25.0%
2012Group Stage24 25.0% 37.5% 37.5%  ¦  41.7% 58.3%  ¦  70.8% 29.2% 37.5% 62.5% -16.7%
2012Group Stage24 29.2% 20.8% 50.0%  ¦  37.5% 62.5%  ¦  54.2% 45.8% 20.8% 79.2% -25.0%
2012Playoffs4 75.0% 25.0% 0.0%  ¦  100.0% 0.0%  ¦  25.0% 75.0% 25.0% 75.0% 100.0%
2012Group Stage3 66.7% 33.3% 0.0%  ¦  100.0% 0.0%  ¦  66.7% 33.3% 33.3% 66.7% 100.0%
2012Group Stage3 66.7% 33.3% 0.0%  ¦  66.7% 33.3%  ¦  33.3% 66.7% 33.3% 66.7% 33.3%
2011Group Stage24 45.8% 4.2% 50.0%  ¦  50.0% 50.0%  ¦  45.8% 54.2% 4.2% 95.8% 0.0%
2011Group Stage24 58.3% 33.3% 8.3%  ¦  75.0% 25.0%  ¦  58.3% 41.7% 33.3% 66.7% 50.0%
2011Group Stage24 33.3% 33.3% 33.3%  ¦  50.0% 50.0%  ¦  62.5% 37.5% 33.3% 66.7% 0.0%
2011Group Stage24 41.7% 16.7% 41.7%  ¦  45.8% 54.2%  ¦  54.2% 45.8% 16.7% 83.3% -8.3%
2011Playoffs4 50.0% 25.0% 25.0%  ¦  75.0% 25.0%  ¦  50.0% 50.0% 25.0% 75.0% 50.0%
2011Qualification8 75.0% 0.0% 25.0%  ¦  75.0% 25.0%  ¦  75.0% 25.0% 0.0% 100.0% 50.0%
2011Group Stage6 33.3% 33.3% 33.3%  ¦  66.7% 33.3%  ¦  50.0% 50.0% 33.3% 66.7% 33.3%
2011Group Stage6 16.7% 33.3% 50.0%  ¦  50.0% 50.0%  ¦  66.7% 33.3% 33.3% 66.7% 0.0%

Click on any column to sort table
Mouseover percentages (%) to see value odds

AnnaBet Power Ratings

Updated 2024-10-27 10:55:57
#Team Rating
1. USA
2. Italy
3. Iran
4. France
5. Argentina
6. Poland
7. Serbia
8. Egypt
9. Bulgaria
10. Russia
11. Canada
12. Brazil
13. Germany
14. Finland
15. Cuba
16. South Korea
17. Netherlands
18. Dominican Republic
19. Japan
20. Portugal


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.