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  All-Africa Games 2023 @ Ghana

Group A

# Joukkue Ott V T H M+ M- Ero P P/O V% ØM+ ØM-
1. Ghana U20 3 2 1 0 4 1 +3 7 2.33 67% 1.33 0.33
2. Kongo U20 3 1 2 0 2 1 +1 5 1.67 33% 0.67 0.33
3. Benin U20 3 0 2 1 0 1 -1 2 0.67 0% 0.00 0.33
4. Gambia U20 3 0 1 2 2 5 -3 1 0.33 0% 0.67 1.67

Group B
# Joukkue Ott V T H M+ M- Ero P P/O V% ØM+ ØM-
1. Uganda U20 3 3 0 0 4 1 +3 9 3.00 100% 1.33 0.33
2. Senegal U20 3 2 0 1 4 3 +1 6 2.00 67% 1.33 1.00
3. Nigeria U20 3 1 0 2 4 5 -1 3 1.00 33% 1.33 1.67
4. South Sudan U20 3 0 0 3 0 3 -3 0 0.00 0% 0.00 1.00


Otsikkorivin klikkaus järjestää taulukon kyseisen sarakkeen mukaisesti
Vie hiiren kursori prosenttiluvun (%) päälle nähdäksesi kerroinrajan

Valitse kausi


2023
2019
2015
1987
1978
1972
1965


Wikipedia

Perjantai 22. maaliskuu 2024
   
All-Africa Games - Playoffs - Finals2023 Kertoimet 1x2
Ghana U20    1 - 0    Uganda U202.042.923.60
All-Africa Games - Playoffs - Bronze2023 Kertoimet 1x2
Senegal U20    2 - 0    Kongo U201.903.053.83
   
Tiistai 19. maaliskuu 2024
   
All-Africa Games - Playoffs - 1/2 Finals2023 Kertoimet 1x2
Ghana U20    1 - 0    Senegal U202.392.703.20
Uganda U20    4 - 2    Kongo U202.442.683.24
   
Perjantai 15. maaliskuu 2024
   
All-Africa Games - Group B2023 Kertoimet 1x2
Senegal U20    3 - 2    Nigeria U202.573.312.57
Uganda U20    1 - 0    South Sudan U201.723.184.85
All-Africa Games - Group A2023 Kertoimet 1x2
Benin U20    0 - 1    Ghana U204.443.231.80
Kongo U20    2 - 1    Gambia U202.263.102.98
   
Tiistai 12. maaliskuu 2024
   
Ghana U20    3 - 1    Gambia U201.943.053.85
Benin U20    0 - 0    Kongo U202.812.852.50
   
Maanantai 11. maaliskuu 2024
   
All-Africa Games - Group B2023 Kertoimet 1x2
Nigeria U20    1 - 0    South Sudan U201.384.466.79
Senegal U20    0 - 1    Uganda U201.723.404.47
   
Perjantai 8. maaliskuu 2024
   
All-Africa Games - Group A2023 Kertoimet 1x2
Gambia U20    0 - 0    Benin U202.373.112.98
Ghana U20    0 - 0    Kongo U202.143.063.33
   
Torstai 7. maaliskuu 2024
   
All-Africa Games - Group B2023 Kertoimet 1x2
Nigeria U20    1 - 2    Uganda U201.823.413.71
South Sudan U20    0 - 1    Senegal U2011.076.001.20

Lisää tuloksia


maaliskuu 2024

Benin U20
Gambia U20
Ghana U20
Kongo U20
Nigeria U20
Senegal U20
South Sudan U20
Uganda U20


Valitse kausi


2023
2019
2015
1987
1978
1972
1965


Wikipedia

# Joukkue Ott V T H M+ M- Ero P P/O V% ØM+ ØM-
1. Ghana U20 5 4 1 0 6 1 +5 13 2.60 80% 1.20 0.20
2. Uganda U20 5 4 0 1 8 4 +4 12 2.40 80% 1.60 0.80
3. Senegal U20 5 3 0 2 6 4 +2 9 1.80 60% 1.20 0.80
4. Kongo U20 5 1 2 2 4 7 -3 5 1.00 20% 0.80 1.40
5. Nigeria U20 3 1 0 2 4 5 -1 3 1.00 33% 1.33 1.67
6. Benin U20 3 0 2 1 0 1 -1 2 0.67 0% 0.00 0.33
7. Gambia U20 3 0 1 2 2 5 -3 1 0.33 0% 0.67 1.67
8. South Sudan U20 3 0 0 3 0 3 -3 0 0.00 0% 0.00 1.00

-
Kausi Ottelua 1 x 2  ¦  1 2  ¦  Yli 2.5 Alle 2.5 Yli 1.5 Alle 1.5 Kotietu
2023Lohkovaihe12 41.7% 25.0% 33.3%  ¦  55.6% 44.4%  ¦  33.3% 66.7% 33.3% 66.7% 11.1%
2023Playoffit4 100.0% 0.0% 0.0%  ¦  100.0% 0.0%  ¦  25.0% 75.0% 50.0% 50.0% 100.0%
2019Lohkovaihe11 27.3% 27.3% 45.5%  ¦  37.5% 62.5%  ¦  54.5% 45.5% 81.8% 18.2% -25.0%
2019Playoffit4 25.0% 75.0% 0.0%  ¦  50.0% 50.0%  ¦  0.0% 100.0% 50.0% 50.0% 0.0%
2015Lohkovaihe7 28.6% 42.9% 28.6%  ¦  50.0% 50.0%  ¦  14.3% 85.7% 42.9% 57.1% 0.0%
2015Playoffit4 25.0% 25.0% 50.0%  ¦  25.0% 75.0%  ¦  50.0% 50.0% 50.0% 50.0% -50.0%
1987Runkosarja18 66.7% 22.2% 11.1%  ¦  85.7% 14.3%  ¦  44.4% 55.6% 66.7% 33.3% 71.4%
1978Runkosarja16 62.5% 31.3% 6.3%  ¦  90.9% 9.1%  ¦  43.8% 56.3% 68.8% 31.3% 81.8%
1972Runkosarja16 93.8% 6.3% 0.0%  ¦  100.0% 0.0%  ¦  81.3% 18.8% 93.8% 6.3% 100.0%
1965Runkosarja16 56.3% 37.5% 6.3%  ¦  90.0% 10.0%  ¦  37.5% 62.5% 62.5% 37.5% 80.0%

Otsikkorivin klikkaus järjestää taulukon kyseisen sarakkeen mukaisesti
Vie hiiren kursori prosenttiluvun (%) päälle nähdäksesi kerroinrajan

AnnaBet Voimaluvut

Päivitetty 2025-04-21 11:25:15
#Joukkue Voimaluku
1. Senegal U20 1342
2. Nigeria U20 1326
3. Uganda U20 1287
4. Ghana U20 1194
5. Gambia U20 1193
6. Kongo U20 1050
7. South Sudan U20 994
8. Benin U20 962


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.

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