RANKING CHAMPIONS LEAGUE 2011-12 (Phase of Groups)

Translated by Bing

ORIGINAL SPANISH ARTICLE

http://futbolisticametrica.blogspot.com/2011/12/ranking-de-equipos-en-champions-2011-12.html

REAL MADRID	98.5
FC BARCELONA	95.6
CHELSEA FC	91.8
SPL BENFICA	90.7
BAYERN MÜNCHEN	89.0
SSC NAPOLI	87.5
OLYMP. MARSEILLE	82.8
APOEL NIKOSIA	81.0
ARSENAL FC	79.1
FC BASEL	79.0
ZENIT ST.PETERSBURG	75.8
AC MILAN	74.7
BAYER LEVERKUSSEN	72.6
INTER. MILANO	70.8
OLYMPIQUE LYONNAIS	69.8
CSKA MOSKOVA	59.0

We have prepared a table to rate the credit of the teams that participated in the phase of groups of Champions League 2011-12. For them we have taken into account the following information:

-Points

-Marked and conceded goals ratio

-Coefficients UEFA from the rest of the participants in the groups.

The two first data give us information like from two different angles. The point values the results of the matches as the competition (to most points above in the table) is established even if the distribution is agreed (could be more or less by victory or tie). The second data complements the previous necessarily team wins many parties must have more than 1 and to the extent that victories are more or less bulging will increase this proportion.

The third tip is vital to make relative to the other two, because it is easier to get many points and victories bulging if group rivals are weak, so between two teams of similar points and goleadoras proportions, one facing toughest rivals will be higher in the table.

How to make the calculation has been multiply these three data and multiply the result by 4 or 3 depending on if were first or second group. Such a correction is necessary because the results are taken from a League where the ultimate goal is the classification for a second phase and the fact that certain powerful computers not spent with intensity the last meeting to have the classification or the assured leadership, could distort the calculation.

Finally final products are arranged in a logarithmic table where each team reference your data to an ideal team that sumase the maximum points and scoring balance (such as Real Madrid) and the maximum number of UEFA coefficients adverse (such as the Apoel Nikosia).