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Ranking the European top-five-leagues

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 Chelsea
3 Real Madrid
Rank League
1 Premier League
2 Bundesliga
3 Primera Division


Click on the tabs above to see full tables.


Team ranking, all five European top leagues, Season 2020/21

Rank Team League Points
1 Man City PL 1.95
2 Chelsea PL 1.57
3 Real Madrid PD 1.5
4 Man United PL 1.35
5 Bayern M BL 1.22
6 Liverpool PL 1.18
7 PSG L1 1.11
8 Leicester City PL 0.99
9 Inter SA 0.96
10 Lille L1 0.94
11 Atleti PD 0.88
12 Barça PD 0.72
13 West Ham PL 0.69
14 Atalanta SA 0.67
15 RB Leipzig BL 0.66
16 Olympique Lyon L1 0.66
17 Tottenham PL 0.66
18 Sevilla FC PD 0.65
19 Everton PL 0.63
20 Arsenal PL 0.63
21 Leeds United PL 0.61
22 Milan SA 0.6
23 Monaco L1 0.56
24 Napoli SA 0.55
25 Frankfurt BL 0.54
26 Juventus SA 0.48
27 Wolfsburg BL 0.43
28 Lazio SA 0.42
29 Dortmund BL 0.39
30 M'gladbach BL 0.22
31 Leverkusen BL 0.17
32 Aston Villa PL 0.16
33 Real Sociedad PD 0.14
34 Wolverhampton PL 0.12
35 Marseille L1 0.12
36 RC Lens L1 0.09
37 Villarreal PD 0.06
38 Real Betis PD 0.06
39 Roma SA 0.05
40 Crystal Palace PL 0.05
41 Sassuolo SA 0.02
42 Southampton PL -0.01
43 Stade Rennais L1 -0.03
44 Montpellier L1 -0.04
45 Burnley PL -0.06
46 Union Berlin BL -0.06
47 Newcastle PL -0.1
48 Stuttgart BL -0.14
49 Celta PD -0.14
50 Cádiz CF PD -0.16
51 Athletic PD -0.17
52 Freiburg BL -0.19
53 Sampdoria SA -0.21
54 Levante PD -0.23
55 Hoffenheim BL -0.25
56 Brighton Hove PL -0.26
57 Granada PD -0.27
58 FC Metz L1 -0.27
59 Saint-Étienne L1 -0.3
60 Valencia PD -0.31
61 Angers SCO L1 -0.31
62 Osasuna PD -0.32
63 Hertha BSC BL -0.35
64 Stade de Reims L1 -0.35
65 Brest L1 -0.38
66 Fulham PL -0.38
67 Nice L1 -0.38
68 West Brom PL -0.44
69 Bremen BL -0.44
70 Mainz BL -0.45
71 Nantes L1 -0.45
72 Bologna SA -0.47
73 Strasbourg L1 -0.47
74 Alavés PD -0.48
75 Lorient L1 -0.49
76 Bielefeld BL -0.5
77 Fiorentina SA -0.5
78 Verona SA -0.5
79 Bordeaux L1 -0.51
80 1. FC Köln BL -0.52
81 Genoa SA -0.53
82 Udinese SA -0.53
83 Getafe PD -0.54
84 Torino SA -0.57
85 Huesca PD -0.6
86 Elche PD -0.62
87 Nîmes Ol. SA -0.63
88 Augsburg BL -0.66
89 Spezia Calcio SA -0.66
90 Cagliari SA -0.67
91 Valladolid PD -0.68
92 Eibar PD -0.71
93 Benevento SA -0.82
94 Sheffield Utd PL -0.88
95 Crotone SA -1.05
96 Dijon FCO L1 -1.11
97 Schalke BL -1.13
98 Parma SA -1.18

Ranking of the five European top leagues, Season 2020/21

Rank League Sum of points
1 Premier League 8.46
2 Bundesliga -1.06
3 Primera Division -1.22
4 Ligue 1 -1.61
5 Serie A -4.57

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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