football stadium
football logo

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 PSG
2 Liverpool
3 Man City
Rank League
1 Ligue 1
2 Premier League
3 Bundesliga


Click on the tabs above to see full tables.


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

Rank Team League Points
1 PSG L1 2.24
2 Liverpool PL 2.23
3 Man City PL 2.17
4 Chelsea PL 1.81
5 Marseille L1 1.6
6 Stade Rennais L1 1.42
7 Juventus SA 1.16
8 Napoli SA 1.15
9 Dortmund BL 1.02
10 Milan SA 0.91
11 Brentford PL 0.91
12 RC Lens L1 0.9
13 Bayern M BL 0.89
14 Leverkusen BL 0.86
15 Atleti PD 0.81
16 Freiburg BL 0.8
17 Tottenham PL 0.7
18 Leicester City PL 0.64
19 Real Madrid PD 0.6
20 West Ham PL 0.52
21 Nice L1 0.5
22 Roma SA 0.48
23 Union Berlin BL 0.46
24 Espanyol PD 0.46
25 M'gladbach BL 0.45
26 Angers SCO L1 0.44
27 Monaco L1 0.41
28 Villarreal PD 0.39
29 Athletic PD 0.38
30 Sevilla FC PD 0.37
31 Man United PL 0.36
32 Real Betis PD 0.34
33 Inter SA 0.34
34 Lorient L1 0.33
35 Arsenal PL 0.3
36 1. FC Köln BL 0.29
37 Crystal Palace PL 0.29
38 RB Leipzig BL 0.28
39 Mainz BL 0.25
40 Montpellier L1 0.21
41 Barça PD 0.17
42 Osasuna PD 0.16
43 Bordeaux L1 0.11
44 Atalanta SA 0.09
45 Nantes L1 0.07
46 Real Sociedad PD 0.05
47 Olympique Lyon L1 0.03
48 Mallorca PD 0.03
49 Lazio SA 0.01
50 Troyes L1 0.0
51 Hertha BSC BL 0.0
52 Strasbourg L1 0.0
53 Lille L1 -0.01
54 Brighton Hove PL -0.05
55 Stade de Reims L1 -0.08
56 Udinese SA -0.12
57 Stuttgart BL -0.12
58 Rayo Vallecano PD -0.15
59 Valencia PD -0.16
60 Aston Villa PL -0.16
61 Frankfurt BL -0.17
62 Wolfsburg BL -0.23
63 Granada PD -0.23
64 Fiorentina SA -0.24
65 Clermont Foot L1 -0.24
66 Hoffenheim BL -0.26
67 Everton PL -0.27
68 Bochum BL -0.28
69 Wolverhampton PL -0.28
70 Bologna SA -0.33
71 Alavés PD -0.34
72 Torino SA -0.35
73 Southampton PL -0.41
74 Empoli SA -0.47
75 Elche PD -0.48
76 Saint-Étienne L1 -0.52
77 Sampdoria SA -0.63
78 Brest L1 -0.66
79 Sassuolo SA -0.67
80 Augsburg BL -0.68
81 Celta PD -0.76
82 Verona SA -0.83
83 FC Metz L1 -0.83
84 Watford PL -0.86
85 Venezia FC SA -1.06
86 Newcastle PL -1.07
87 Cádiz CF PD -1.09
88 Leeds United PL -1.13
89 Norwich PL -1.16
90 Spezia Calcio SA -1.26
91 Burnley PL -1.34
92 Getafe PD -1.47
93 Cagliari SA -1.47
94 Levante PD -1.57
95 Greuther Fürth BL -1.58
96 Salernitana SA -1.66
97 Genoa SA -1.67
98 Bielefeld BL -1.97

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

Rank League Sum of points
1 Ligue 1 5.92
2 Premier League 3.2
3 Bundesliga 0.01
4 Primera Division -2.49
5 Serie A -6.62

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.