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Ranking the European top-five-leagues

SEASON 2021/22

Did you ever wonder how your favourite team comes off among the European top teams?

Here you can find out: rank-O-football is the definitive team ranking based on network science and statistics!

Its revolutionary method ranks teams across leagues. The different strengths of leagues are taken into account automatically by the algorithm. We do not use hidden weights or any other unobjective factors.

Just all teams of the five European top leagues, all results of each national and European competition, and a simple but clever algorithm!

Use it freely to compare teams, predict games, and settle arguments with your friends!


Current top-3-teams/leagues:

Rank Team
1 Liverpool
2 Man City
3 Real Madrid
Rank League
1 Premier League
2 Bundesliga
3 Ligue 1


Click on the tabs above to see full tables.


Team ranking, all five European top leagues, Season 2021/22

Rank Team League Points
1 Liverpool PL 1.87
2 Man City PL 1.78
3 Real Madrid PD 1.41
4 PSG L1 1.4
5 Chelsea PL 1.12
6 Bayern BL 1.12
7 Inter SA 0.99
8 Milan SA 0.85
9 Tottenham PL 0.82
10 RB Leipzig BL 0.72
11 Dortmund BL 0.64
12 Leverkusen BL 0.63
13 Napoli SA 0.62
14 Atleti PD 0.59
15 Monaco L1 0.58
16 Marseille L1 0.56
17 Barça PD 0.52
18 Nice L1 0.43
19 Juventus SA 0.42
20 West Ham PL 0.42
21 Sevilla FC PD 0.39
22 Villarreal PD 0.39
23 Arsenal PL 0.39
24 Stade Rennais L1 0.39
25 Strasbourg L1 0.36
26 RC Lens L1 0.35
27 Man United PL 0.29
28 Freiburg BL 0.29
29 Olympique Lyon L1 0.28
30 Lazio SA 0.28
31 Union Berlin BL 0.24
32 Real Betis PD 0.21
33 1. FC Köln BL 0.19
34 Leicester City PL 0.19
35 Atalanta SA 0.17
36 Frankfurt BL 0.17
37 Lille L1 0.15
38 Real Sociedad PD 0.13
39 Nantes L1 0.12
40 Brighton Hove PL 0.11
41 Crystal Palace PL 0.11
42 M'gladbach BL 0.1
43 Roma SA 0.08
44 Fiorentina SA 0.05
45 Mainz BL -0.01
46 Hoffenheim BL -0.02
47 Athletic PD -0.05
48 Wolverhampton PL -0.08
49 Bochum BL -0.08
50 Brentford PL -0.13
51 Wolfsburg BL -0.14
52 Verona SA -0.17
53 Brest L1 -0.17
54 Stade de Reims L1 -0.18
55 Newcastle PL -0.18
56 Augsburg BL -0.19
57 Sassuolo SA -0.19
58 Osasuna PD -0.2
59 Valencia PD -0.23
60 Udinese SA -0.24
61 Torino SA -0.28
62 Southampton PL -0.28
63 Celta PD -0.31
64 Montpellier L1 -0.33
65 Espanyol PD -0.36
66 Stuttgart BL -0.36
67 Aston Villa PL -0.36
68 Angers SCO L1 -0.37
69 Cádiz CF PD -0.38
70 Getafe PD -0.39
71 Bologna SA -0.39
72 Leeds United PL -0.41
73 Troyes L1 -0.42
74 Elche PD -0.42
75 Lorient L1 -0.43
76 Granada PD -0.45
77 Rayo Vallecano PD -0.45
78 Hertha BSC BL -0.47
79 Burnley PL -0.49
80 Mallorca PD -0.5
81 Everton PL -0.52
82 Empoli SA -0.52
83 Clermont Foot L1 -0.53
84 Bielefeld BL -0.54
85 Levante PD -0.59
86 Spezia Calcio SA -0.61
87 Bordeaux L1 -0.61
88 Saint-Étienne L1 -0.62
89 FC Metz L1 -0.63
90 Sampdoria SA -0.69
91 Salernitana SA -0.77
92 Alavés PD -0.77
93 Genoa SA -0.81
94 Cagliari SA -0.84
95 Greuther Fürth BL -0.87
96 Norwich PL -0.96
97 Venezia FC SA -0.96
98 Watford PL -0.97

Ranking of the five European top leagues, Season 2021/22

Rank League Sum of points
1 Premier League 2.72
2 Bundesliga 1.42
3 Ligue 1 0.33
4 Primera Division -1.46
5 Serie A -3.01

Method and sources

The ranking uses an adapted version of Google's page-rank algorithm.

We include all games of the five European top leagues (England, Germany, Spain, Italy, France) plus all their games in the Champions League and Europa League.

With that we construct a graph where teams are the nodes of the graph. A win in a game is a directed link from the loser to the winner.

Page rank is used to convert into a Markovian network and its steady state gives the respective points for each team.

What do the points mean? Loosely speaking, positive numbers mean that the team has won more often than lost. Negative numbers mean the team lost more often than won. However, by construction of the page rank algorithm, the strength of the opposite team is important. E.g., a win against a top team counts more than a win against a team at the end of the table.

This also implies that the number of games that a team has played is not important. In other words, the method allows to compare teams that have played different number of games (for instance because they do or do not participate in the international leagues.)

(under construction)


This page was developed in 2018 as a project in network science and data analysis. Please support it by spreading the news and the link.

I am a scientist working on data analysis tools. Go to my linkedin page for more information on other projects.

(under construction)

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