football stadium
football logo

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 1.82
2 Man City PL 1.72
3 Real Madrid PD 1.66
4 PSG L1 1.41
5 Bayern BL 1.12
6 Chelsea PL 1.07
7 Inter SA 0.95
8 Milan SA 0.85
9 Tottenham PL 0.75
10 RB Leipzig BL 0.71
11 Dortmund BL 0.64
12 Atleti PD 0.63
13 Leverkusen BL 0.63
14 Napoli SA 0.61
15 Monaco L1 0.58
16 Barça PD 0.57
17 Marseille L1 0.56
18 Nice L1 0.43
19 Villarreal PD 0.43
20 Sevilla FC PD 0.42
21 Juventus SA 0.41
22 Stade Rennais L1 0.39
23 Strasbourg L1 0.37
24 Arsenal PL 0.36
25 West Ham PL 0.36
26 RC Lens L1 0.35
27 Freiburg BL 0.29
28 Olympique Lyon L1 0.29
29 Lazio SA 0.27
30 Man United PL 0.26
31 Real Betis PD 0.24
32 Union Berlin BL 0.24
33 1. FC Köln BL 0.19
34 Frankfurt BL 0.17
35 Atalanta SA 0.17
36 Lille L1 0.16
37 Real Sociedad PD 0.15
38 Leicester City PL 0.13
39 Nantes L1 0.13
40 M'gladbach BL 0.1
41 Roma SA 0.08
42 Crystal Palace PL 0.08
43 Brighton Hove PL 0.06
44 Fiorentina SA 0.05
45 Mainz BL -0.01
46 Hoffenheim BL -0.02
47 Athletic PD -0.03
48 Bochum BL -0.08
49 Wolverhampton PL -0.11
50 Wolfsburg BL -0.14
51 Osasuna PD -0.17
52 Verona SA -0.17
53 Brentford PL -0.17
54 Brest L1 -0.17
55 Stade de Reims L1 -0.18
56 Augsburg BL -0.19
57 Sassuolo SA -0.2
58 Newcastle PL -0.21
59 Valencia PD -0.21
60 Udinese SA -0.24
61 Torino SA -0.28
62 Celta PD -0.29
63 Southampton PL -0.31
64 Espanyol PD -0.32
65 Montpellier L1 -0.33
66 Cádiz CF PD -0.34
67 Getafe PD -0.36
68 Stuttgart BL -0.36
69 Angers SCO L1 -0.37
70 Aston Villa PL -0.39
71 Elche PD -0.4
72 Bologna SA -0.4
73 Troyes L1 -0.42
74 Leeds United PL -0.42
75 Lorient L1 -0.42
76 Granada PD -0.43
77 Rayo Vallecano PD -0.43
78 Hertha BSC BL -0.47
79 Mallorca PD -0.48
80 Burnley PL -0.51
81 Empoli SA -0.52
82 Clermont Foot L1 -0.53
83 Bielefeld BL -0.54
84 Everton PL -0.54
85 Levante PD -0.56
86 Bordeaux L1 -0.61
87 Spezia Calcio SA -0.61
88 Saint-Étienne L1 -0.62
89 FC Metz L1 -0.63
90 Sampdoria SA -0.7
91 Alavés PD -0.76
92 Salernitana SA -0.77
93 Genoa SA -0.81
94 Cagliari SA -0.84
95 Greuther Fürth BL -0.87
96 Venezia FC SA -0.96
97 Norwich PL -0.97
98 Watford PL -0.98

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

Rank League Sum of points
1 Premier League 2.0
2 Bundesliga 1.41
3 Ligue 1 0.39
4 Primera Division -0.68
5 Serie A -3.11

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)

Please send any inquiries to:


Datenschutzerklärung:


Die Betreiber dieser Seiten speichern wissentlich keine persönlichen Daten ab und die Nutzung unserer Webseite ist in der Regel ohne Angabe personenbezogener Daten möglich.

Wir weisen allerdings darauf hin, dass die Datenübertragung im Internet (z.B. bei der Kommunikation per E-Mail) Sicherheitslücken aufweisen kann. Ein lückenloser Schutz der Daten vor dem Zugriff durch Dritte ist nicht möglich.