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Ranking the European top-five-leagues

NEW 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 Man City
2 PSG
3 Liverpool
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 Man City PL 2.09
2 PSG L1 1.79
3 Liverpool PL 1.56
4 Bayern BL 1.38
5 Real Madrid PD 1.16
6 Chelsea PL 1.12
7 Dortmund BL 0.93
8 RB Leipzig BL 0.77
9 Inter SA 0.75
10 Tottenham PL 0.73
11 Sevilla FC PD 0.69
12 Marseille L1 0.67
13 West Ham PL 0.64
14 Nice L1 0.63
15 Frankfurt BL 0.61
16 Milan SA 0.61
17 Man United PL 0.54
18 Leverkusen BL 0.54
19 Freiburg BL 0.45
20 Stade Rennais L1 0.41
21 M'gladbach BL 0.41
22 RC Lens L1 0.38
23 Hoffenheim BL 0.38
24 Lille L1 0.38
25 Juventus SA 0.38
26 Napoli SA 0.36
27 Atalanta SA 0.36
28 Arsenal PL 0.35
29 Leicester City PL 0.31
30 Montpellier L1 0.3
31 1. FC Köln BL 0.3
32 Crystal Palace PL 0.28
33 Strasbourg L1 0.24
34 Monaco L1 0.2
35 Villarreal PD 0.2
36 Real Sociedad PD 0.19
37 Real Betis PD 0.19
38 Atleti PD 0.17
39 Wolverhampton PL 0.17
40 Union Berlin BL 0.15
41 Barça PD 0.15
42 Olympique Lyon L1 0.13
43 Brighton Hove PL 0.1
44 Nantes L1 0.09
45 Mainz BL 0.08
46 Rayo Vallecano PD 0.05
47 Angers SCO L1 0.04
48 Lazio SA 0.03
49 Brest L1 0.0
50 Valencia PD -0.01
51 Espanyol PD -0.02
52 Hertha BSC BL -0.05
53 Southampton PL -0.06
54 Augsburg BL -0.08
55 Stade de Reims L1 -0.13
56 Fiorentina SA -0.14
57 Bochum BL -0.15
58 Roma SA -0.16
59 Osasuna PD -0.16
60 Granada PD -0.16
61 Aston Villa PL -0.18
62 Athletic PD -0.19
63 Torino SA -0.28
64 Wolfsburg BL -0.3
65 Getafe PD -0.3
66 Celta PD -0.36
67 Brentford PL -0.36
68 Lorient L1 -0.37
69 Leeds United PL -0.38
70 Bielefeld BL -0.39
71 Udinese SA -0.41
72 Bordeaux L1 -0.42
73 Sassuolo SA -0.44
74 Empoli SA -0.47
75 Clermont Foot L1 -0.47
76 Troyes L1 -0.47
77 FC Metz L1 -0.48
78 Elche PD -0.49
79 Everton PL -0.5
80 Bologna SA -0.53
81 Mallorca PD -0.58
82 Stuttgart BL -0.6
83 Burnley PL -0.61
84 Alavés PD -0.63
85 Watford PL -0.71
86 Verona SA -0.75
87 Cádiz CF PD -0.76
88 Saint-Étienne L1 -0.76
89 Newcastle PL -0.77
90 Sampdoria SA -0.83
91 Levante PD -0.88
92 Spezia Calcio SA -0.93
93 Norwich PL -0.98
94 Venezia FC SA -1.03
95 Cagliari SA -1.13
96 Greuther Fürth BL -1.14
97 Salernitana SA -1.15
98 Genoa SA -1.28

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

Rank League Sum of points
1 Premier League 3.34
2 Bundesliga 3.29
3 Ligue 1 2.16
4 Primera Division -1.74
5 Serie A -7.04

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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