The 2019–20 season was Olympique de Marseille's 114th season in existence and the club's 24th consecutive season in the top flight of French football. In addition to the domestic league, Marseille participated in this season's editions of the Coupe de France, and the Coupe de la Ligue. The season covered the period from 1 July 2019 to 30 June 2020. More information...

Multilingual Wikipedia

In June 2020 the website om.net was on the 10,673rd place in the ranking of the most reliable and popular sources in multilingual Wikipedia from readers' point of view (PR-score). If we consider only frequency of appearance of this source in references of Wikipedia articles (F-score), this website was on the 8,166th place in June 2020. From Wikipedians' point of view, "om.net" is the 5,180th most reliable source in different language versions of Wikipedia (AR-score).

The website is placed before himalayanclub.org and after dailyhive.com in multilingual PR ranking of the most reliable sources in Wikipedia.

PR-score:
10,673rd place
2,746,339
-707,202
AR-score:
5,180th place
891,455
+2,355
F-score:
8,166th place
1,541
+19

English Wikipedia (en)

PR-score:
12,045th place
1,166,496
-303,864
AR-score:
8,440th place
205,447
-388
F-score:
14,235th place
255
0

French Wikipedia (fr)

PR-score:
1,516th place
933,513
-254,857
AR-score:
888th place
331,531
+1,702
F-score:
1,666th place
518
+15

Portuguese Wikipedia (pt)

PR-score:
5,068th place
137,650
-27,523
AR-score:
2,834th place
36,395
+109
F-score:
11,078th place
26
0

Russian Wikipedia (ru)

PR-score:
13,701st place
129,722
-29,376
AR-score:
4,727th place
41,498
+35
F-score:
9,829th place
63
0

Italian Wikipedia (it)

PR-score:
9,445th place
67,043
-11,362
AR-score:
3,323rd place
48,695
-54
F-score:
2,468th place
169
0

Spanish Wikipedia (es)

PR-score:
25,261st place
63,110
-7,429
AR-score:
6,426th place
36,226
-122
F-score:
7,347th place
70
0
Show all Wikipedia languages...

BestRef shows popularity and reliability scores for sources in references of Wikipedia articles in different languages. Data extraction based on complex method using Wikimedia dumps. To find the most popular and reliable sources we used information about over 200 million references of Wikipedia articles. More details...