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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 Liverpool
3 PSG
Rank League
1 Premier League
2 Ligue 1
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 Man City PL 2.62
2 Liverpool PL 2.1
3 PSG L1 1.99
4 Chelsea PL 1.63
5 Inter SA 1.06
6 Bayern M BL 1.01
7 Dortmund BL 0.98
8 West Ham PL 0.98
9 Real Madrid PD 0.93
10 Milan SA 0.89
11 Stade Rennais L1 0.85
12 Napoli SA 0.84
13 Marseille L1 0.8
14 Crystal Palace PL 0.76
15 Man United PL 0.75
16 Tottenham PL 0.67
17 Juventus SA 0.66
18 Leverkusen BL 0.62
19 RB Leipzig BL 0.61
20 Atleti PD 0.52
21 Arsenal PL 0.52
22 Atalanta SA 0.47
23 Leicester City PL 0.41
24 RC Lens L1 0.37
25 Sevilla FC PD 0.36
26 1. FC Köln BL 0.35
27 Angers SCO L1 0.35
28 Freiburg BL 0.3
29 Real Sociedad PD 0.3
30 Union Berlin BL 0.29
31 M'gladbach BL 0.29
32 Frankfurt BL 0.25
33 Brighton Hove PL 0.22
34 Lazio SA 0.21
35 Real Betis PD 0.18
36 Brentford PL 0.14
37 Osasuna PD 0.14
38 Olympique Lyon L1 0.13
39 Nice L1 0.13
40 Espanyol PD 0.09
41 Barça PD 0.07
42 Lille L1 0.06
43 Roma SA 0.05
44 Augsburg BL 0.01
45 Mainz BL 0.0
46 Wolverhampton PL -0.01
47 Strasbourg L1 -0.03
48 Wolfsburg BL -0.03
49 Aston Villa PL -0.03
50 Montpellier L1 -0.04
51 Valencia PD -0.05
52 Rayo Vallecano PD -0.05
53 Brest L1 -0.08
54 Bochum BL -0.1
55 Fiorentina SA -0.11
56 Monaco L1 -0.12
57 Hertha BSC BL -0.14
58 Nantes L1 -0.14
59 Southampton PL -0.14
60 Burnley PL -0.16
61 Hoffenheim BL -0.17
62 Verona SA -0.21
63 Villarreal PD -0.25
64 Bologna SA -0.25
65 Everton PL -0.29
66 Athletic PD -0.29
67 Stade de Reims L1 -0.3
68 Udinese SA -0.33
69 Lorient L1 -0.33
70 Sassuolo SA -0.38
71 Bordeaux L1 -0.39
72 Troyes L1 -0.41
73 Mallorca PD -0.44
74 Alavés PD -0.48
75 Granada PD -0.48
76 Torino SA -0.49
77 Empoli SA -0.5
78 Leeds United PL -0.52
79 FC Metz L1 -0.53
80 Sampdoria SA -0.54
81 Saint-Étienne L1 -0.56
82 Watford PL -0.57
83 Norwich PL -0.58
84 Celta PD -0.65
85 Clermont Foot L1 -0.66
86 Newcastle PL -0.7
87 Stuttgart BL -0.71
88 Elche PD -0.72
89 Cádiz CF PD -1.0
90 Levante PD -1.04
91 Getafe PD -1.07
92 Spezia Calcio SA -1.14
93 Venezia FC SA -1.19
94 Genoa SA -1.23
95 Cagliari SA -1.32
96 Salernitana SA -1.41
97 Greuther Fürth BL -1.7
98 Bielefeld BL -1.92

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

Rank League Sum of points
1 Premier League 7.8
2 Ligue 1 1.09
3 Bundesliga -0.06
4 Primera Division -3.93
5 Serie A -4.92

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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