‏הצגת רשומות עם תוויות rankings. הצג את כל הרשומות
‏הצגת רשומות עם תוויות rankings. הצג את כל הרשומות

יום חמישי, 28 בפברואר 2019

ITF World Tour Structure - The Problem of Two Ranking Systems


Since the launch of the new ITF World Tour, a lot of criticism has been raised, mainly about the fact that most players cannot enter any tournament, and these include top college players, which are shown to be suited well for Pro Tennis.

What I would like to present here, is that even for players who can get into tournaments under the new system, including ITF top 100 juniors, it would be almost impossible to break through.
The women's path has became much harder and longer, but the biggest problem is on the men's side, since there are no qualifying places to ATP Ranked players (seems counter-intuitive, but I'll show why it is the case).

As you might know, the new system has two separate ranking systems - ITF World Tennis Rankings for ITF tournaments (15K$ and 25K$), and ATP Rankings for Challengers and above.
The problem is, that each tournament lasts for its relevant rankings for only 12 months.
That means that in a time-span of 12 months, a player should have a high enough ITF Rankings (about 20th) to be able to enter ATP challengers, and then also high enough ATP Rankings (about 320th) to be able to continue enter ATP Challengers using the ATP Rankings.

Let's look at the top 20 ITF players and do the math:
These players played 16 ITF tournaments where they achieved 54 ITF Points in each one of them (on average).
In order to be ranked 20th which would be enough in order to enter some challengers, 740 points are enough, which equals to five M25 wins!,
On average it would take a top 20 ITF player 14 tournaments to achieve that. Let's say a player plays 14 tournaments in 6 months time span (which is quite a lot of play given he had to go deep in some of them). Then, he has only 6 month until his ITF points starts to drop and he can no longer enter ATP Challengers using his ITF Rankings.
He needs about 90 ATP Points during the 6 months in order to be ranked 320th in the world. The player ranked 250th on the ATP achieve exactly double this amount of points in a full year (180 points), and remember some of the players around that ranking had also access to ATP and Grand Slam Qualifying, where they could get their points from.
So in order to be able to be ranked 320th in the world, our player who only have 6 months need to have a better performance than the 250th best player in the world, in a 12 months time where he had to play about 28 tournaments - that just to get into the cycle of playing ATP challengers! How crazy is that?

Now remember that if our player missed the needed points even by a little, he needs to start over on the ITF almost from scratch, since his ITF Ranking points would start to drop*. The exception to that is of course getting a WC, but players that are not from established Tennis countries don't have this luxury.
The solution might be to either go back to one unified ranking system, or to have a tour card for a full year, where a player can have access to ATP Challengers, as it is being done at both professional Golf and Snooker.

* Unlike ATP Rankings which are exponential in nature, the ITF Rankings tend to be linear, since many players can win tournaments in a given week, so using the ITF Rankings for Challengers Qualifying means that once ITF Points start to drop, a player's ITF Rankings drops dramatically.

** Combining ITF tournaments and Challengers on the player's schedule in order to have both rankings at the same time would actually lower the chances of becoming a regular ATP player. It does makes sense from a financial point of view of course.

יום רביעי, 24 בינואר 2018

UEFA Euro Qualifying - Nations League Impact

Hello,

Today I will make an analysis of the impact of the new change in UEFA Euro Qualifing System, in which 4 teams would qualify from the Nations League Playoffs.
I included in the analysis the following scenarios:

  1. The real system of UEFA Euro 2020 Qualifing
  2. A scenario for each team where it is assigned to one league above (lowest pot) 
  3. A scenario for each team where it is assigned to one league below (highest pot) 
  4. A system in which there are 8 group of 7-8 teams, where top 3 teams in each group qualify.
  5. A system in which there are 9 group of 6-7 teams, where top 2 teams + 3 best 3rd placed teams in each group qualify, and the other 3rd place teams go to playoffs (previous system).
  6. A system in which there are 11 group of 5 teams, where top 2 teams + 2 best 3rd placed teams in each group qualify.
The most interesting finding is that being in League A actually improves the chances of a team to qualify to Euro 2020 comparing to group B, and being in League B improves the chances of a team to qualify comparing to League C. It has two reasons:

  1. In 99.8% of the simulations, at least 8 League A teams qualified through the main qualifing, making all league A teams qualify at least for the playoffs. For League B, in 87% of the simulation all teams qualifies at least for the playoffs.
  2. The main qualifying seeding is based on the Nations League final standing, and higher league means higher seeding.

All scenarios are done with one million simulations of the draw and the matches (Elo ratings as of 1.12.2017). 
For full methodology please see:
https://simtheworld.blogspot.com/2012/09/uefa-cl-and-el-2012-13-simulations.html

Here are the full results:
Team League ELO Q-normal Q-up Q-down Q-8-groups Q_9-groups Q_11-groups
Germany A 2098.00 99.8% 99.6% 99.9% 99.9% 99.8%
Spain A 2015.00 99.2% 98.7% 99.5% 99.6% 99.2%
Portugal A 1982.00 98.7% 97.9% 99.2% 99.3% 98.7%
France A 1959.00 98.0% 96.6% 98.7% 99.0% 98.2%
Italy A 1920.00 96.5% 94.3% 97.7% 98.1% 96.8%
Belgium A 1910.00 96.0% 94.1% 97.2% 97.7% 96.4%
England A 1909.00 96.0% 94.2% 97.3% 97.7% 96.5%
Netherlands A 1854.00 91.7% 88.9% 92.4% 93.1% 89.5%
Switzerland A 1845.00 90.9% 86.9% 93.5% 94.0% 92.3%
Poland A 1835.00 89.6% 86.2% 90.6% 93.3% 91.6%
Croatia A 1833.00 89.2% 86.0% 90.4% 91.0% 91.3%
Iceland A 1822.00 88.0% 84.0% 89.2% 89.7% 90.2%
Denmark B 1781.00 77.1% 82.2% 72.2% 81.3% 80.3% 79.9%
Sweden B 1771.00 75.6% 81.0% 70.8% 79.6% 82.0% 78.4%
Wales B 1751.00 71.2% 77.5% 65.0% 78.0% 78.6% 74.8%
Republic of Ireland B 1750.00 71.0% 77.5% 65.2% 75.7% 74.6% 74.5%
Slovakia B 1732.00 67.1% 72.9% 61.0% 74.7% 74.6% 71.2%
Turkey B 1721.00 64.4% 71.2% 57.7% 69.6% 66.9% 60.2%
Ukraine B 1709.00 61.6% 68.9% 54.5% 65.4% 69.1% 66.5%
Bosnia and Herzegovina B 1706.00 61.1% 67.4% 53.8% 65.9% 64.3% 66.1%
Russia B 1680.00 54.3% 62.0% 46.0% 62.8% 62.0% 60.3%
Austria B 1678.00 53.6% 61.0% 45.8% 62.2% 61.9% 60.0%
Czech Republic B 1660.00 49.1% 56.7% 41.7% 54.6% 51.6% 46.5%
Northern Ireland B 1654.00 47.6% 55.5% 39.8% 53.2% 50.4% 54.6%
Serbia C 1737.00 62.6% 67.9% 78.4% 64.1% 61.5% 63.7%
Scotland C 1708.00 55.2% 61.8% 72.1% 57.2% 63.2% 57.7%
Romania C 1669.00 44.9% 51.2% 64.2% 47.2% 53.0% 48.4%
Greece C 1647.00 38.7% 45.7% 59.0% 41.9% 38.5% 43.2%
Slovenia C 1618.00 32.0% 38.4% 52.1% 34.4% 31.1% 36.8%
Hungary C 1593.00 26.2% 33.2% 44.9% 29.1% 33.3% 31.6%
Bulgaria C 1590.00 24.2% 32.3% 44.6% 21.9% 24.2% 22.2%
Montenegro C 1590.00 24.3% 32.1% 44.7% 22.2% 24.4% 30.8%
Norway C 1578.00 23.1% 30.3% 42.8% 25.5% 22.2% 28.4%
Albania C 1573.00 21.8% 28.7% 40.7% 24.5% 21.2% 27.3%
Finland C 1567.00 19.7% 28.5% 39.5% 17.8% 19.7% 18.7%
Israel C 1514.00 11.5% 17.0% 28.1% 10.2% 11.2% 11.4%
Estonia C 1476.00 6.7% 12.7% 21.0% 6.3% 4.9% 7.6%
Cyprus C 1399.00 2.2% 5.1% 9.7% 2.0% 1.5% 2.9%
Lithuania C 1385.00 1.8% 4.2% 9.5% 1.6% 1.1% 2.5%
Belarus D 1489.00 26.5% 8.1% 6.9% 5.8% 8.6%
Macedonia D 1484.00 25.4% 7.9% 6.5% 5.5% 8.2%
Georgia D 1457.00 20.2% 6.0% 4.5% 3.6% 6.0%
Armenia D 1439.00 13.8% 4.9% 3.3% 2.7% 4.8%
Azerbaijan D 1382.00 10.7% 1.8% 1.5% 1.0% 2.3%
Latvia D 1355.00 6.0% 1.2% 0.9% 0.6% 1.0%
Kosovo D 1351.00 4.2% 1.1% 0.6% 0.5% 1.0%
Kazakhstan D 1320.00 3.4% 0.7% 0.4% 0.2% 0.6%
Moldova D 1310.00 2.9% 0.5% 0.3% 0.2% 0.5%
Luxembourg D 1285.00 2.4% 0.4% 0.2% 0.1% 0.3%
Faroe Islands D 1258.00 1.7% 0.3% 0.1% 0.1% 0.2%
Malta D 1204.00 0.6% 0.1% 0.0% 0.0% 0.1%
Liechtenstein D 1128.00 0.1% 0.0% 0.0% 0.0% 0.0%
Gibraltar D 1049.00 0.0% 0.0% 0.0% 0.0% 0.0%
Andorra D 993.00 0.0% 0.0% 0.0% 0.0% 0.0%
San Marino D 835.00 0.0% 0.0% 0.0% 0.0% 0.0%

יום שבת, 2 בדצמבר 2017

FIFA World Cup 2018 - Draw Analysis

The draw result for FIFA World Cup 2018 is (taken from FIFA.com):


Let's start by looking at the Elo Ratings of the teams by group:

Group Elo_Avg Elo_Std
A 1720.00 100.12
B 1866.50 133.92
C 1843.25 90.22
D 1821.50 98.89
E 1855.25 145.70
F 1857.25 142.42
G 1774.50 137.63
H 1803.75 70.06

The most balanced group is group H, and any final ranking seem reasonable.
Group A is the easiest group by far, and in fact it has one of the worst 3 teams from each one of the seeding pots according to Elo.
The hardest groups are groups B, E and F. On first look it would seem maybe that Portugal and Spain have a relatively easy draw, because of the bottom 2 teams in their group. Group E has 3 teams that reached the last 16 in FIFA World Cup 2014, and group F has last 16 regulars Germany and Mexico, in addition to giant slayer Sweden, that eliminated both Netherlands and Italy.
I made 1 million simulations of the tournament before and after the draw using Elo Ratings (adding 100 points for Russia for being hosts) in order to test the draw more scientifically:
The number represent the cumulative percentage change of reaching a certain position/round for all teams in the group.

GroupPoints1st2nd3rd4thR16QuartersSemisfinalwinner3rd
A2.9337.25%12.82%-9.92%-40.14%50.07%2.47%2.79%0.31%0.14%0.99%
B-1.46-23.43%-2.91%12.65%13.69%-26.34%13.23%10.91%2.02%1.06%4.65%
C-0.97-8.99%-7.49%-0.22%16.69%-16.47%-4.99%-0.96%-2.05%-0.66%0.57%
D0.013.58%-4.55%-1.34%2.31%-0.97%-0.28%0.50%-1.32%-0.52%0.81%
E-1.05-15.86%-0.09%2.97%12.98%-15.95%-20.38%-3.75%0.33%0.24%-2.04%
F-1.07-17.04%1.07%3.61%12.36%-15.98%-20.31%-3.53%-0.05%-0.79%-1.85%
G1.3313.38%6.27%0.68%-20.32%19.64%21.05%-0.95%1.36%0.69%-1.19%
H0.3011.12%-5.11%-8.43%2.42%6.00%9.20%-5.01%-0.60%-0.16%-1.94%

As expected, Group A teams were expected about 1.5 qualifications to R16 before he draw, and after the draw obviously 2 of them would qualify. When looking at the quarter finals, group H teams are actually the winners, avoiding the top 6 Elo teams until the quarter finals. Group B team are actually the winners when it comes to raising the probability of winning the tournament.
The losers of the draw when looking at the chance of going out in the group stage are Group B teams. It is easy to sometimes underestimate the bottom teams in the group, but their chance of qualifying is not negligible. Having Spain in that group reduced Portugal chance of qualifying significantly. When looking at the quarter finals probability, group E and F are the biggest losers, since they will meet each other in the R16, and both groups are very strong.
The results of the draw are very significant for the participating teams, but of course the games still need to be played, and the ability and luck their would b even more significant.

Here are the results by team (order by difference in R16 from lowest to highest):

Team Group Pot ELO Points 1st 2nd 3rd 4th R16 Quarters Semis final winner 3rd
Iran B 3 1791 -0.38 -5.63% -3.89% 6.70% 2.82% -9.52% 0.99% 0.86% 0.05% 0.02% 0.29%
Morocco B 4 1686 -0.48 -3.37% -4.61% -0.35% 8.33% -7.98% 0.06% 0.13% 0.00% 0.00% 0.03%
South Korea F 4 1702 -0.49 -4.56% -2.27% -1.95% 8.78% -6.83% -3.62% -0.65% -0.09% -0.02% -0.16%
Switzerland E 2 1845 -0.43 -10.22% 3.98% 3.21% 3.03% -6.24% -8.42% -2.25% -0.45% -0.17% -0.80%
Peru C 2 1866 -0.31 -4.72% -1.29% 2.53% 3.49% -6.01% -2.12% -0.54% -0.60% -0.18% -0.01%
Costa Rica E 3 1728 -0.39 -5.09% -0.47% -0.15% 5.71% -5.56% -4.14% -0.73% -0.11% -0.03% -0.21%
Serbia E 4 1752 -0.38 -5.30% -0.20% 1.08% 4.42% -5.50% -4.66% -0.97% -0.19% -0.06% -0.26%
Portugal B 1 1976 -0.39 -11.39% 5.97% 4.03% 1.40% -5.42% 5.71% 4.98% 1.38% 0.58% 1.78%
Mexico F 2 1833 -0.32 -8.27% 3.06% 3.59% 1.63% -5.22% -7.30% -1.81% -0.28% -0.09% -0.67%
Australia C 4 1718 -0.35 -1.77% -3.41% -3.73% 8.91% -5.19% -1.28% -0.30% -0.13% -0.03% -0.06%
Sweden F 3 1805 -0.28 -6.33% 2.53% 2.08% 1.72% -3.80% -5.60% -1.25% -0.17% -0.04% -0.42%
Croatia D 2 1838 -0.14 -1.29% -2.15% 1.35% 2.08% -3.44% -1.38% -0.28% -0.46% -0.15% 0.06%
Spain B 2 2013 -0.22 -3.04% -0.38% 2.27% 1.15% -3.42% 6.48% 4.95% 0.59% 0.45% 2.56%
France C 1 1969 -0.17 -1.45% -1.58% 1.36% 1.67% -3.03% -1.18% -0.03% -1.02% -0.36% 0.57%
Denmark C 3 1820 -0.14 -1.04% -1.20% -0.39% 2.62% -2.24% -0.40% -0.09% -0.30% -0.08% 0.07%
Poland H 1 1821 -0.09 -1.20% -0.62% 0.29% 1.52% -1.82% 1.45% -1.70% -0.16% -0.04% -0.64%
Nigeria D 4 1691 -0.05 -0.24% -0.11% -0.60% 0.96% -0.35% -0.20% 0.02% -0.03% -0.01% 0.01%
Germany F 1 2089 0.02 2.12% -2.25% -0.11% 0.24% -0.13% -3.79% 0.17% 0.49% -0.63% -0.60%
Tunisia G 3 1619 0.12 0.40% 0.34% 2.85% -3.58% 0.73% 1.06% -0.05% 0.00% 0.00% -0.01%
Iceland D 3 1791 0.03 0.46% 0.45% -0.70% -0.22% 0.91% 0.35% 0.23% -0.13% -0.04% 0.14%
Brazil E 1 2096 0.16 4.74% -3.40% -1.16% -0.18% 1.34% -3.16% 0.20% 1.07% 0.50% -0.77%
Argentina D 1 1966 0.17 4.65% -2.74% -1.39% -0.51% 1.91% 0.96% 0.54% -0.70% -0.34% 0.60%
Japan H 4 1735 0.06 2.01% -0.03% -2.69% 0.71% 1.98% 1.59% -0.50% -0.02% 0.00% -0.15%
Panama G 4 1656 0.25 0.81% 1.72% 6.19% -8.71% 2.52% 1.75% -0.04% 0.02% 0.00% -0.02%
Senegal H 3 1748 0.11 2.71% 0.06% -3.28% 0.51% 2.77% 2.04% -0.58% -0.05% 0.00% -0.18%
Colombia H 2 1911 0.21 7.59% -4.52% -2.75% -0.31% 3.07% 4.11% -2.23% -0.37% -0.12% -0.96%
Belgium G 1 1909 0.44 3.74% 4.05% -3.71% -4.08% 7.79% 8.98% -0.32% 0.86% 0.39% -0.67%
England G 2 1914 0.52 8.44% 0.16% -4.64% -3.95% 8.60% 9.26% -0.54% 0.48% 0.29% -0.50%
Saudi Arabia A 4 1596 0.55 4.11% 4.86% 1.39% -10.37% 8.98% 0.13% 0.04% 0.00% 0.00% 0.01%
Egypt A 3 1654 0.73 6.34% 6.09% 0.86% -13.29% 12.42% 0.49% 0.17% 0.01% 0.00% 0.04%
Russia A 1 1781 0.71 9.11% 3.81% -4.27% -8.65% 12.92% 0.03% 0.80% 0.08% 0.02% 0.28%
Uruguay A 2 1849 0.94 17.69% -1.94% -7.91% -7.83% 15.75% 1.82% 1.78% 0.22% 0.11% 0.67%

Here are the Elo Weighted results (weighted 10^((elo ratings-1500)/400), because of Elo structure) :

Group Points 1st 2nd 3rd 4th R16 Quarters Semis final winner 3rd
A 13.33 2.00 0.28 -0.76 -1.52 2.28 0.15 0.18 0.02 0.01 0.07
B -13.52 -2.75 0.51 1.41 0.83 -2.24 2.18 1.77 0.33 0.18 0.78
C -7.16 -0.73 -0.54 0.26 1.01 -1.27 -0.42 -0.06 -0.22 -0.08 0.09
D 1.45 0.61 -0.53 -0.16 0.09 0.08 0.06 0.07 -0.14 -0.06 0.10
E -1.27 0.31 -0.79 -0.09 0.57 -0.48 -1.94 -0.17 0.29 0.14 -0.32
F -4.70 -0.45 -0.39 0.27 0.56 -0.83 -2.06 -0.16 0.11 -0.20 -0.25
G 11.09 1.34 0.49 -0.69 -1.14 1.83 2.01 -0.09 0.14 0.07 -0.12
H 2.43 0.92 -0.52 -0.52 0.11 0.40 0.68 -0.39 -0.05 -0.01 -0.16

For full methodology please see:
https://simtheworld.blogspot.com/2012/09/uefa-cl-and-el-2012-13-simulations.html
The exact procedure wasn't published yet, so I assumed the draw would be made in order of the pots (pot 1, then pot 2 and so on).

For the full simulation results see:
After the draw - http://simtheworld.blogspot.com/2017/12/fifa-world-cup-2018-simuations.html
Before the draw - http://simtheworld.blogspot.com/2017/11/fifa-world-cup-2018-pre-draw-simulation.html

יום ראשון, 16 בספטמבר 2012

UEFA CL 2012-13 Simulations

Barcelona and Real Madrid re huge favorites to take the title. Part of the reason for that, is that many contenders might lose early to lesser teams and make the road easier for them.

Based on 100K simulations:


Group Country Team Coefficients Points 1st 2nd 3rd 4th Round16 Quarter Semi Finalist Champion
7 Esp FC Barcelona 25.23 14.65 0.913 0.078 0.008 0.001 0.131 0.176 0.166 0.172 0.346
4 Esp Real Madrid 22.66 11.87 0.643 0.237 0.097 0.023 0.142 0.167 0.153 0.154 0.264
8 Eng Manchester United 20.43 13.56 0.842 0.126 0.028 0.004 0.304 0.294 0.192 0.103 0.074
6 Ger Bayern München 19.25 12.21 0.638 0.250 0.102 0.010 0.307 0.258 0.167 0.089 0.068
1 Por FC Porto 17.99 11.76 0.627 0.243 0.106 0.023 0.353 0.258 0.147 0.070 0.043
4 Eng Manchester City 15.35 8.67 0.190 0.363 0.315 0.133 0.226 0.141 0.091 0.053 0.042
4 Ger Borussia Dortmund 13.95 8.08 0.147 0.312 0.364 0.176 0.204 0.118 0.073 0.038 0.026
5 Eng Chelsea 16.37 10.53 0.384 0.326 0.262 0.029 0.325 0.208 0.107 0.045 0.024
2 Eng Arsenal 14.88 9.83 0.425 0.274 0.187 0.114 0.330 0.213 0.100 0.038 0.018
5 Ukr Shakhtar Donetsk 15.24 10.01 0.311 0.330 0.320 0.039 0.329 0.179 0.085 0.032 0.016
5 Ita Juventus 15.06 9.91 0.301 0.325 0.333 0.041 0.326 0.173 0.082 0.030 0.015
3 Ita AC Milan 13.93 9.45 0.366 0.285 0.215 0.133 0.343 0.187 0.082 0.027 0.012
7 Por Benfica 13.00 8.55 0.068 0.586 0.249 0.098 0.401 0.156 0.066 0.022 0.009
3 Rus Zenit St. Petersburg 13.08 9.05 0.315 0.285 0.241 0.159 0.337 0.165 0.068 0.022 0.008
6 Esp Valencia 13.90 9.38 0.212 0.395 0.332 0.061 0.336 0.172 0.069 0.022 0.008
2 Ger Schalke 04 12.25 8.60 0.267 0.285 0.250 0.198 0.320 0.151 0.058 0.017 0.006
3 Esp Málaga CF 11.56 8.25 0.228 0.267 0.280 0.225 0.286 0.142 0.050 0.013 0.004
1 Ukr Dinamo Kiev 11.93 8.58 0.183 0.347 0.330 0.139 0.348 0.126 0.042 0.010 0.003
6 Fra Lille OSC 12.09 8.57 0.146 0.325 0.436 0.093 0.307 0.111 0.040 0.011 0.003
1 Fra Paris Saint-Germain 11.56 8.39 0.170 0.330 0.350 0.149 0.337 0.114 0.038 0.009 0.003
2 Gre Olympiakos Piraeus 9.87 7.51 0.170 0.231 0.281 0.317 0.266 0.097 0.030 0.007 0.002
2 Fra Montpellier 8.97 7.08 0.138 0.209 0.282 0.371 0.242 0.078 0.022 0.004 0.001
4 Ned Ajax 5.49 4.70 0.020 0.088 0.224 0.668 0.072 0.024 0.009 0.002 0.001
8 Por Sporting Braga 10.71 8.10 0.094 0.442 0.310 0.154 0.406 0.100 0.024 0.005 0.001
7 Rus Spartak Moscow 7.57 5.94 0.014 0.223 0.433 0.329 0.182 0.042 0.011 0.002 0.000
3 Bel Anderlecht 7.37 6.28 0.091 0.162 0.264 0.483 0.189 0.051 0.012 0.002 0.000
8 Tur Galatasaray 8.66 7.02 0.053 0.312 0.387 0.249 0.295 0.057 0.011 0.001 0.000
7 Sco Celtic 5.02 4.59 0.005 0.113 0.310 0.572 0.099 0.016 0.003 0.000 0.000
1 Cro Dinamo Zagreb 4.56 4.59 0.019 0.080 0.213 0.688 0.086 0.012 0.001 0.000 0.000
8 Rom CFR Cluj 4.90 4.83 0.012 0.120 0.275 0.593 0.119 0.012 0.001 0.000 0.000
6 Bls BATE Borisov 3.02 3.36 0.004 0.030 0.130 0.836 0.031 0.003 0.000 0.000 0.000
5 Den FC Nordsjælland 2.63 3.03 0.004 0.019 0.086 0.892 0.020 0.002 0.000 0.000 0.000

UEFA EL 2012-13 Simulations

Atlético Madrid are the favorites, many CL teams might drop out and win the title as well:

Based on 100K simulations:


Group Country Team Coefficients Points 1st 2nd 3rd 4th Round32 Round16 Quarter Semi Finalist Champion
2 Esp Atlético Madrid 15.01 13.78 0.860 0.115 0.021 0.004 0.254 0.232 0.173 0.123 0.086 0.106

Eng Manchester City





0.055 0.051 0.049 0.040 0.037 0.081

Ger Borussia Dortmund





0.075 0.067 0.058 0.046 0.041 0.077

Esp Real Madrid





0.005 0.008 0.007 0.008 0.013 0.056
10 Eng Tottenham Hotspur 11.42 11.87 0.596 0.279 0.110 0.016 0.311 0.236 0.147 0.088 0.049 0.044

Eng Chelsea





0.064 0.058 0.046 0.033 0.025 0.035

Ita Juventus





0.098 0.079 0.057 0.040 0.027 0.033

Ukr Shakhtar Donetsk





0.093 0.074 0.054 0.039 0.027 0.033
11 Ger Bayer Leverkusen 10.57 11.55 0.617 0.251 0.098 0.034 0.344 0.244 0.142 0.074 0.036 0.028
4 Eng Newcastle United 8.98 10.16 0.454 0.283 0.173 0.090 0.299 0.203 0.117 0.063 0.030 0.024
5 Ger VfB Stuttgart 10.55 11.80 0.666 0.215 0.088 0.031 0.363 0.254 0.139 0.070 0.032 0.023

Ger Bayern München





0.017 0.019 0.016 0.014 0.013 0.023

Esp Valencia





0.114 0.088 0.055 0.034 0.020 0.021
6 Ita Napoli 9.29 10.73 0.486 0.301 0.162 0.051 0.343 0.216 0.120 0.059 0.027 0.021
3 Ger Borussia Mönchengladbach 8.95 10.40 0.445 0.302 0.190 0.063 0.320 0.206 0.115 0.060 0.027 0.020

Eng Arsenal





0.052 0.045 0.033 0.023 0.015 0.018
12 Ger Hannover 96 8.89 10.51 0.421 0.324 0.210 0.045 0.327 0.206 0.112 0.056 0.026 0.018
9 Esp Athletic Bilbao 8.94 10.57 0.430 0.341 0.181 0.048 0.348 0.214 0.114 0.055 0.024 0.017

Por FC Porto





0.024 0.022 0.018 0.014 0.011 0.017

Fra Lille OSC





0.177 0.116 0.068 0.039 0.020 0.017

Por Benfica





0.090 0.060 0.040 0.027 0.016 0.016
8 Ita Internazionale 10.35 12.24 0.560 0.348 0.084 0.008 0.429 0.251 0.129 0.060 0.024 0.016

Ita AC Milan





0.070 0.053 0.037 0.024 0.016 0.016
1 Eng Liverpool 8.19 9.86 0.405 0.289 0.206 0.100 0.307 0.196 0.103 0.050 0.023 0.016
9 Fra Olympique Lyon 8.70 10.49 0.418 0.343 0.187 0.052 0.357 0.209 0.108 0.051 0.022 0.015

Rus Zenit St. Petersburg





0.085 0.061 0.040 0.025 0.015 0.015
12 Esp Levante UD 8.38 10.23 0.376 0.340 0.232 0.053 0.331 0.198 0.102 0.050 0.021 0.014

Ger Schalke 04





0.091 0.065 0.042 0.025 0.014 0.012

Esp Málaga CF





0.110 0.077 0.044 0.025 0.013 0.012

Ukr Dinamo Kiev





0.139 0.088 0.051 0.027 0.014 0.011

Fra Paris Saint-Germain





0.150 0.095 0.054 0.028 0.013 0.011
4 Fra Girondins Bordeaux 7.12 9.12 0.308 0.311 0.234 0.147 0.302 0.166 0.084 0.040 0.016 0.011
10 Ita Lazio Roma 7.72 9.88 0.281 0.413 0.252 0.054 0.353 0.184 0.090 0.041 0.016 0.009
7 Por Sporting CP Lisbon 8.37 10.61 0.458 0.310 0.183 0.049 0.395 0.211 0.097 0.041 0.015 0.009

Ned Ajax





0.097 0.057 0.033 0.018 0.010 0.009
3 Fra Olympique Marseille 7.11 9.36 0.301 0.322 0.271 0.106 0.316 0.168 0.081 0.036 0.014 0.008
6 Ned PSV Eindhoven 7.45 9.67 0.330 0.346 0.233 0.091 0.349 0.181 0.085 0.038 0.014 0.008

Gre Olympiakos Piraeus





0.126 0.074 0.042 0.022 0.010 0.007
8 Rus Rubin Kazan 8.79 11.29 0.390 0.465 0.131 0.015 0.475 0.225 0.097 0.038 0.014 0.007
1 Rus Anzhi Makhachkala 6.40 8.82 0.270 0.295 0.275 0.161 0.300 0.150 0.069 0.029 0.010 0.006

Eng Manchester United





0.005 0.005 0.005 0.004 0.003 0.006

Fra Montpellier





0.133 0.077 0.039 0.019 0.008 0.006
1 Ita Udinese 6.34 8.79 0.267 0.291 0.277 0.164 0.297 0.150 0.068 0.028 0.010 0.006

Rus Spartak Moscow





0.234 0.110 0.052 0.023 0.009 0.005

Esp FC Barcelona





0.000 0.001 0.001 0.001 0.001 0.005
7 Sui FC Basel 7.20 9.85 0.341 0.343 0.240 0.076 0.392 0.179 0.072 0.028 0.009 0.004
3 Tur Fenerbahçe 5.94 8.63 0.223 0.294 0.333 0.150 0.291 0.135 0.057 0.022 0.008 0.004
11 Ukr Metalist Kharkiv 6.56 9.14 0.255 0.387 0.233 0.125 0.374 0.163 0.068 0.024 0.008 0.004

Por Sporting Braga





0.164 0.082 0.038 0.017 0.006 0.004

Bel Anderlecht





0.141 0.070 0.032 0.014 0.005 0.003
12 Ned FC Twente Enschede 5.65 8.57 0.191 0.289 0.396 0.123 0.282 0.123 0.049 0.018 0.005 0.003

Tur Galatasaray





0.233 0.095 0.038 0.014 0.004 0.002
4 Bel Club Brugge 4.46 7.33 0.144 0.229 0.308 0.319 0.227 0.094 0.035 0.012 0.003 0.002
2 Cze Viktoria Plzen 5.45 8.30 0.095 0.488 0.280 0.137 0.384 0.132 0.047 0.015 0.004 0.001
6 Ukr Dnipro Dnipropetrovsk 4.81 7.85 0.153 0.261 0.376 0.211 0.263 0.100 0.035 0.011 0.003 0.001
10 Gre Panathinaikos 4.66 7.84 0.115 0.265 0.465 0.156 0.247 0.089 0.030 0.009 0.003 0.001

Sco Celtic





0.198 0.073 0.027 0.009 0.003 0.001
9 Cze Sparta Praha 4.59 7.75 0.133 0.247 0.423 0.197 0.250 0.088 0.030 0.009 0.002 0.001
5 Den FC København 5.18 8.24 0.174 0.347 0.286 0.193 0.355 0.115 0.037 0.011 0.002 0.001
7 Bel Racing Genk 5.02 8.26 0.179 0.277 0.382 0.162 0.311 0.102 0.032 0.009 0.002 0.001
4 Por Maritimo Funchal 3.47 6.45 0.094 0.178 0.284 0.444 0.183 0.061 0.020 0.005 0.001 0.000

Cro Dinamo Zagreb





0.146 0.048 0.014 0.004 0.001 0.000
5 Rom Steaua Bucuresti 3.97 7.18 0.105 0.264 0.331 0.300 0.276 0.071 0.017 0.004 0.001 0.000
1 Sui Young Boys 2.64 5.63 0.058 0.124 0.242 0.576 0.135 0.036 0.009 0.002 0.000 0.000
11 Aut Rapid Wien 3.27 6.45 0.070 0.193 0.345 0.392 0.200 0.049 0.012 0.002 0.000 0.000

Den FC Nordsjælland





0.065 0.016 0.004 0.001 0.000 0.000
11 Nor Rosenborg BK 2.94 6.08 0.057 0.169 0.324 0.450 0.175 0.040 0.009 0.002 0.000 0.000

Rom CFR Cluj





0.206 0.052 0.013 0.003 0.001 0.000
2 Isr Hapoel Tel-Aviv 3.23 6.39 0.032 0.256 0.393 0.319 0.222 0.051 0.012 0.002 0.000 0.000
8 Srb Partizan Belgrade 3.29 6.84 0.047 0.164 0.610 0.179 0.175 0.030 0.005 0.001 0.000 0.000

Bls BATE Borisov





0.098 0.025 0.006 0.001 0.000 0.000
6 Swe AIK Stockholm 2.06 4.97 0.032 0.092 0.229 0.647 0.100 0.019 0.004 0.001 0.000 0.000
3 Cyp AEL Limassol 1.95 4.81 0.030 0.082 0.206 0.682 0.090 0.018 0.003 0.001 0.000 0.000
9 Isr Hapoel Kiryat Shmona 1.70 4.49 0.019 0.069 0.209 0.703 0.074 0.012 0.002 0.000 0.000 0.000
5 Nor Molde FK 2.84 5.99 0.055 0.173 0.295 0.477 0.185 0.036 0.006 0.001 0.000 0.000
2 Por Académica Coimbra 2.09 5.06 0.013 0.141 0.306 0.540 0.131 0.019 0.003 0.000 0.000 0.000
10 Slo NK Maribor 1.27 3.85 0.009 0.044 0.174 0.774 0.046 0.006 0.001 0.000 0.000 0.000
12 Swe Helsingborg IF 1.39 4.02 0.013 0.048 0.161 0.778 0.052 0.007 0.001 0.000 0.000 0.000
7 Hun FC Fehérvár 1.72 4.54 0.022 0.070 0.196 0.712 0.081 0.010 0.001 0.000 0.000 0.000
8 Azb Neftchi Baku 0.91 3.28 0.002 0.023 0.176 0.799 0.024 0.001 0.000 0.000 0.000 0.000